# JobsByCulture — Complete Markdown Corpus

> Culture-first job search with 13,901 current AI and tech jobs and 118 company culture profiles.

Website: https://jobsbyculture.com
Data updated: 2026-07-18

Compact catalog: https://jobsbyculture.com/llms-markdown.txt

For lower retrieval cost, prefer the topic collections listed in the catalog.

---

## Document: LLM Model Comparison 2026 — Compare GPT-4, Claude, Llama, Gemini Side by Side | JobsByCulture

# LLM Model Comparison 2026 — Compare GPT-4, Claude, Llama, Gemini Side by Side | JobsByCulture

> Compare 25+ LLM models side by side: GPT-4o, Claude Opus, Llama 3, Gemini, Mistral, Grok. See benchmarks, pricing, context windows, strengths, and which model fits your use case.

Source: https://jobsbyculture.com/ai-tools/model-comparison
Markdown: https://jobsbyculture.com/ai-tools/model-comparison.md
Last updated: 2026-07-14

---
[Home](https://jobsbyculture.com/)/ [AI & ML Tools](https://jobsbyculture.com/ai-tools)/ Model Comparison

⚖ Free AI Tool · No Signup

# LLM Model _Comparison_

Compare large language models side by side. Benchmarks, pricing, context windows, strengths, and practical recommendations for every use case.

✓ 25+ models ✓ Side-by-side comparison ✓ Shareable URLs ✓ Free forever

Model A

VS

Model B



Benchmarks from public evaluations. Performance varies by task. Pricing as of May 2026.

## Popular Comparisons

## The LLM Landscape in 2026

Two years ago, choosing an LLM was straightforward: you either used GPT-4 or you used something cheaper and worse. That world is gone. In 2026, at least five providers offer frontier-class models, open-source alternatives have closed most of the capability gap, and the real challenge is not finding a good model but finding the right model for your specific workload.

The key dimensions that differentiate LLMs today are **capability** (how well the model handles complex reasoning, coding, and nuanced tasks), **speed** (tokens per second, which directly affects user experience), **cost** (input and output pricing per million tokens), **context length** (how much text the model can process in a single request), and **specialization** (whether the model excels at particular tasks like code generation, reasoning chains, or multilingual content).

OpenAI, Anthropic, Google, Meta, and Mistral are the five major players, each with distinct strategies. OpenAI offers the broadest product range from the budget GPT-4o-mini to the reasoning-focused o1 family. Anthropic's Claude models have earned a reputation for careful, nuanced responses and strong coding performance. Google's Gemini line leverages massive context windows (up to 2 million tokens) and tight integration with Google's infrastructure. Meta's Llama models are the open-source standard, enabling self-hosted deployments with no API dependency. Mistral has carved out a niche in the European market with efficient, open-weight models that punch above their parameter count.

## Understanding LLM Benchmarks

Benchmarks are the common language for comparing LLMs, but they are also routinely misunderstood. Knowing what each benchmark actually measures, and its limitations, is essential for making informed model choices.

**MMLU** (Massive Multitask Language Understanding) tests a model across 57 academic subjects from elementary math to professional law. It is the most widely cited general knowledge benchmark, and scores above 85% indicate strong broad reasoning. However, MMLU is increasingly "saturated" as frontier models all score in the 87-90% range, making it less useful for distinguishing between top models.

**HumanEval** measures code generation ability by asking models to complete Python functions and checking them against unit tests. Scores above 90% indicate production-grade coding assistance. This benchmark matters most if you are building coding tools, developer copilots, or automated code review systems.

**MATH** evaluates mathematical reasoning on competition-level problems. It tests multi-step logical deduction, not just arithmetic. Models that score well on MATH tend to perform better on any task requiring structured, step-by-step reasoning, making it a useful proxy for general problem-solving ability.

**GPQA** (Graduate-Level Google-Proof Q&A) presents questions that even domain experts find challenging and that cannot be easily searched online. It tests genuine reasoning rather than memorized facts. **MT-Bench** evaluates multi-turn conversation quality, measuring how well a model maintains coherence, follows instructions, and improves across a dialogue.

> Benchmarks are a necessary but insufficient tool for model selection. A model that scores 2% higher on MMLU may perform worse on your specific use case. Always validate with representative examples from your actual workload before committing to a model.

The limitations of benchmarks are well documented. Models can be optimized specifically for benchmark performance (a practice known as "benchmark gaming" or "teaching to the test"), leading to inflated scores that do not translate to real-world improvement. Benchmark tasks are also typically short and well-defined, while production workloads involve ambiguity, long context, and multi-step reasoning that benchmarks do not capture. Use benchmarks to narrow your shortlist, then test on your own data.

## Model Comparison by Use Case

Rather than choosing the "best" model overall, experienced teams match models to workloads. Here is how to think about model selection for the most common use cases:

**Chatbots and customer support** need speed and low cost above all else. Every millisecond of latency degrades user experience, and high-volume chat applications accumulate significant token costs. GPT-4o-mini, Claude 4.5 Haiku, and Gemini 2.0 Flash are purpose-built for this: fast enough for real-time conversation, cheap enough for millions of messages, and capable enough to handle standard customer queries. Reserve frontier models for escalation paths where complex reasoning is needed.

**Code generation** is where Claude 4 Sonnet and GPT-4o currently lead. Both score above 90% on HumanEval and produce idiomatic, well-structured code across dozens of languages. Claude tends to write more defensive code with better error handling, while GPT-4o integrates well with tool-calling workflows for automated code execution. For open-source options, Codestral from Mistral is specifically tuned for coding tasks.

**Complex reasoning and analysis** demands frontier models. Claude 4 Opus and OpenAI's o1 are designed for tasks where the model needs to think through multiple steps, consider edge cases, and synthesize information from long documents. These models are slower and more expensive, but the quality difference on hard problems is significant. Use them for legal analysis, financial modeling, research synthesis, and strategic planning.

**Document processing** is differentiated primarily by context window. Gemini 2.0 Pro's 2 million token context means you can feed entire codebases or book-length documents in a single request. Claude's 200K context handles most practical document processing needs. For long-document summarization, extraction, and analysis, context length is often the binding constraint, not model intelligence.

**Cost-sensitive applications** at scale should consider the total cost of ownership, not just per-token pricing. GPT-4o-mini and Gemini Flash offer the lowest API prices, but self-hosting Llama 3.1 on your own GPUs eliminates per-token costs entirely. The break-even point depends on your volume: below roughly $3,000 per month in API costs, the operational overhead of self-hosting usually is not worth it. Above $10,000 per month, self-hosting almost always saves money.

**Privacy-critical deployments** where data cannot leave your infrastructure require self-hosted models. Llama 3.1 405B is the closest to frontier-model quality among open-source options, and Llama 3.3 70B offers a strong quality-to-compute ratio. Mistral's models are similarly deployable on private infrastructure. No amount of API provider promises about data handling matches the guarantee of data that physically never leaves your servers.

## The Cost Equation: Capability vs Budget

LLM pricing follows a consistent pattern: output tokens cost 3-5x more than input tokens. This is because generating text is computationally more expensive than processing it. For applications with long prompts but short responses (classification, extraction), input pricing dominates. For applications that generate long responses (content creation, code generation), output pricing dominates.

The hidden costs that teams consistently underestimate include **prompt engineering iteration** (you will spend weeks refining prompts, which means developer time plus test API calls), **evaluation infrastructure** (automated testing of model outputs requires its own pipeline), **retries and fallbacks** (API errors, rate limits, and quality failures mean you will process some requests multiple times), and **context window overhead** (system prompts, few-shot examples, and retrieval context consume tokens before the user's actual input).

A practical formula for estimating monthly costs: take your expected daily request volume, multiply by average input tokens per request, multiply by average output tokens per request, apply the per-token pricing, and then add a 40% buffer for retries, prompt overhead, and growth. Most teams find their actual costs are 1.3-1.8x their initial estimates.

## Open Source vs Closed Source in 2026

The open-source LLM landscape has transformed. Llama 3.1 405B, released by Meta, approaches GPT-4-level performance on most benchmarks and can be deployed on a cluster of consumer-grade GPUs. Llama 3.3 70B offers roughly 90% of that capability at a fraction of the compute cost. Mistral's open-weight strategy has produced models like Mixtral 8x22B that use mixture-of-experts architecture for efficient inference.

Self-hosting economics depend on your scale. A single NVIDIA A100 (80GB) GPU can run Llama 3.1 70B with reasonable throughput and costs roughly $1.50-2.00 per hour on cloud providers. At full utilization, that is approximately $1,100-1,400 per month. If you would spend more than that on API calls for an equivalent model, self-hosting makes financial sense. For Llama 3.1 405B, you need 4-8 GPUs, putting the monthly cost at $5,000-10,000 but supporting throughput that would cost $30,000 or more through API providers.

The fine-tuning advantage of open models is perhaps their strongest selling point. You can train Llama or Mistral on your proprietary data to create a model that understands your domain, your terminology, and your quality standards. Techniques like LoRA (Low-Rank Adaptation) make fine-tuning accessible even with limited GPU resources. Fine-tuned open models often outperform larger closed models on domain-specific tasks because they have been trained on exactly the kind of data they will encounter in production.

Closed models still win on the frontier. When you need the absolute best performance on novel, complex tasks, Claude 4 Opus and o1 remain ahead. They also win on convenience: managed APIs with high uptime, built-in safety filters, and zero infrastructure management. For teams without ML operations expertise, the simplicity of an API call versus managing GPU clusters is a significant practical advantage.

## How to Choose: A Decision Framework

After evaluating hundreds of LLM deployments, a clear decision pattern emerges. Start with these five questions:

1.  **What is your primary use case?** Chatbot, code generation, document analysis, content creation, or data extraction. Each maps to different model strengths.
2.  **What is your monthly budget?** Under $500 favors cheap API models. $500-5,000 gives you access to frontier APIs or modest self-hosting. Above $5,000 makes self-hosting economically compelling.
3.  **How important is latency?** Real-time user-facing applications need fast models (GPT-4o-mini, Claude Haiku, Gemini Flash). Batch processing and async workflows can tolerate slower, more capable models.
4.  **Do you need fine-tuning?** If yes, open-source models (Llama, Mistral) or OpenAI's fine-tuning API are your options. Anthropic does not currently offer fine-tuning.
5.  **Are there data privacy requirements?** Regulated industries (healthcare, finance, government) often need self-hosted models where data stays on-premises.

For most teams starting out, the pragmatic path is: begin with Claude 4 Sonnet or GPT-4o for development and evaluation, drop down to Haiku or GPT-4o-mini for production workloads that do not need frontier capability, and only invest in self-hosting when your API spend justifies the operational complexity.

## The Future: What Is Coming

Several trends are reshaping the LLM landscape as we move through 2026. **Multimodal capability** is becoming standard, not premium. Every major model now handles text, images, and code; audio and video understanding are rapidly following. **Reasoning models** like OpenAI's o1 and o3 family represent a new paradigm where models "think" through problems with explicit chain-of-thought steps, trading speed for accuracy on hard problems.

Smaller models are getting dramatically more capable. Techniques like distillation, quantization, and mixture-of-experts mean that a 2026 model with 8 billion parameters often outperforms a 2024 model with 70 billion. This matters because smaller models run on cheaper hardware, respond faster, and cost less per token. The practical implication: the model you need is probably smaller and cheaper than you think.

On-device AI is crossing a viability threshold. Apple, Google, and Qualcomm are shipping hardware with dedicated AI accelerators capable of running competent LLMs locally, with zero network latency and complete privacy. For applications where these constraints matter, on-device models will increasingly replace API calls.

For engineering teams, staying current with this fast-moving landscape is not optional. The model that was optimal for your use case six months ago may now be outperformed by something cheaper and faster. Build your architecture to be model-agnostic: abstract the LLM behind a service layer, standardize your prompt format, and maintain evaluation benchmarks so you can swap models quickly when better options emerge.

Curious which companies are building with these models? [Browse AI and ML engineering roles](https://jobsbyculture.com/jobs?role=ml-ai) to see who is hiring, or explore our [company culture profiles](https://jobsbyculture.com/companies) to find teams that match how you want to work.

## Frequently Asked Questions

What is the best LLM in 2026?+

There is no single best LLM — it depends on your use case. Claude 4 Opus and o1 lead on complex reasoning tasks. GPT-4o and Claude 4 Sonnet offer the best balance of capability and cost for general-purpose applications. For cost-sensitive workloads, GPT-4o-mini and Claude 4.5 Haiku deliver strong performance at a fraction of the price. For privacy-critical deployments, self-hosted Llama 3.1 405B approaches frontier model quality without sending data to a third-party API.

Is Claude better than GPT-4?+

Claude and GPT-4 excel at different things. Claude 4 Opus tends to produce more nuanced, carefully reasoned responses and handles longer documents better with its 200K context window. GPT-4o is generally faster, has broader tool and plugin integration, and benefits from OpenAI's larger ecosystem. For coding tasks, both perform at similar levels, though Claude edges ahead on certain benchmarks. The best approach is to test both on your specific use case — benchmark scores do not always predict real-world performance.

What is the cheapest LLM API?+

Among commercial APIs, GPT-4o-mini ($0.15/$0.60 per million tokens input/output), Gemini 2.0 Flash ($0.10/$0.40), and Claude 4.5 Haiku ($0.80/$4.00) are the most cost-effective options. For the absolute lowest cost at scale, self-hosting open-source models like Llama 3.1 8B or Mistral Small eliminates per-token API fees entirely — though you pay for GPU compute instead. The break-even point typically occurs around $2,000-5,000 per month in API spending.

Should I use an open-source or closed-source LLM?+

Use open-source models (Llama, Mistral) if you need data privacy, want to fine-tune on proprietary data, need to control costs at high volume, or require reproducible deployments. Use closed-source models (GPT-4, Claude) if you need the highest capability frontier, want managed infrastructure, need rapid integration with existing tools and APIs, or have unpredictable usage patterns where pay-per-token pricing is more economical.

How do I choose between LLM models?+

Start with your use case: chatbots favor fast, cheap models (GPT-4o-mini, Claude Haiku). Code generation needs strong coding benchmarks (Claude Sonnet, GPT-4o). Complex reasoning requires frontier models (Claude Opus, o1). Document processing needs large context windows (Gemini Pro at 2M, Claude at 200K). Then factor in budget, latency, privacy needs, and fine-tuning requirements. Test your top 2-3 candidates on representative examples before committing.

## Build With the Best AI Models

Find AI engineering roles at companies building with these models, and discover teams that match your values.

[AI & ML Engineering Jobs →](https://jobsbyculture.com/jobs?role=ml-ai) [Find Your Culture Match →](https://jobsbyculture.com/quiz)

---

## Document: JobsByCulture — Live Traction & Analytics

# JobsByCulture — Live Traction & Analytics

> Real-time traction metrics for JobsByCulture: monthly visitors, job listings, company profiles, and growth trajectory.

Source: https://jobsbyculture.com/analytics
Markdown: https://jobsbyculture.com/analytics.md
Last updated: 2026-07-14

---
Live Metrics

# JobsByCulture _Traction_

Real metrics from a culture-first job board. Updated daily. No vanity numbers — just what matters.

3,124

Monthly Visitors

+56% vs Mar

4,605

Monthly Pageviews

1.5 pages per visit

14,196

Live Job Listings

Updated daily

116

Companies Profiled

Culture-reviewed

177

Blog Articles

8 published daily

## Monthly _Growth_

45

Feb 2026

543

Mar 2026

2,024

Apr 2026

3,124

May 2026\*

## Engagement _Metrics_

Metric

Value

Context

Bounce Rate

78%

Industry average for job boards: 70-80%

Avg. Visit Duration

69s

Users read full culture profiles

Pages on Site

9,130+

Job details, cluster pages, company profiles, blog

Google Search Visitors

849

Organic, zero paid advertising

AI Referrals

76

Claude AI (31) + ChatGPT (24) + Perplexity (21)

## Traffic _Sources_

Direct / None1,570

Google Search849

Bing144

designerdailyreport.com130

LinkedIn93

Twitter / X61

BetaList46

DuckDuckGo39

Claude AI31

ChatGPT24

Perplexity21

Substack16

## Daily _Output_

Activity

Frequency

Total to Date

Company Profiles

Culture-reviewed

116 companies

Blog Articles Published

8 per day

177 articles

Job Listings Refreshed

Every day

14,196 live jobs

Programmatic SEO Pages

Rebuilt daily

9,130+ pages

LinkedIn + Bluesky Posts

15 per day

AI/ML job cards with images

Data from the last 30 days. Last updated May 8, 2026. \*May projected from 8 days of data. Built by [@itspradz](https://x.com/itspradz?ref=jobsbyculture.com).

[← Back to JobsByCulture](https://jobsbyculture.com/)

---

## Document: The Culture Report — Blog | JobsByCulture

# The Culture Report — Blog | JobsByCulture

> Data-driven insights on AI company culture: work-life balance rankings, culture comparisons, and remote-friendly employers. Powered by real employee reviews.

Source: https://jobsbyculture.com/blog
Markdown: https://jobsbyculture.com/blog.md
Last updated: 2026-07-14

---
The Culture Report

# The Culture _Report_

Data-driven insights on company culture, work-life balance, and what it's actually like to work at top AI & tech companies.

[🎯 Talent & Hiring

## The Careers Page Audit Checklist for 2026 (39 Signals Engineers Actually Look For)

A 39-point careers page audit for hiring managers and HR leaders — what strong engineering candidates actually check before hitting Apply in 2026.

Jul 14, 202611 min read

](https://jobsbyculture.com/blog/careers-page-audit-checklist-2026)[🎤 Interview Prep

## Airtable Interview Prep (2026): What the Loop Actually Looks Like

What Airtable's interview loop reportedly looks like for engineering, product, and design roles in 2026 — recruiter screen, coding, the "Practical" round, system design, and behavioral prep.

Jul 14, 202611 min read

](https://jobsbyculture.com/blog/airtable-interview-prep-2026)[📈 Industry Trends

## How to Evaluate an Engineering Culture Before You Accept the Offer (2026)

The concrete due diligence to run before you sign — engineering blog checks, reference-call scripts, review-reading heuristics, and the red flags you can't see from the outside.

Jul 14, 202610 min read

](https://jobsbyculture.com/blog/how-to-evaluate-engineering-culture-before-accepting-offer-2026)[📈 Industry Trends

## 110 Housewarming Messages for a Coworker (2026)

110 warm, funny, and thoughtful housewarming messages for a coworker who just moved — organized by tone. Copy, paste, and sign the group card in under a minute.

Jul 14, 202610 min read

](https://jobsbyculture.com/blog/housewarming-messages-for-coworkers)[🎉 Workplace Moments

## 44 Get Well After Surgery Messages for a Coworker (2026)

44 copy-paste-ready get well after surgery messages for a coworker — sorted by tone and situation. Warm, real, and short. Includes what to write on a card, Slack, and a group e-card.

Jul 13, 20267 min read

](https://jobsbyculture.com/blog/get-well-after-surgery-messages-for-coworker)[📈 Industry Trends

## How to Network in Tech in 2026 (Without Being Cringe)

Tech networking that actually opens doors — without cold LinkedIn spam, forced coffee chats, or 'quick 15 mins' asks. A practical playbook for engineers, PMs, and designers.

Jul 13, 20269 min read

](https://jobsbyculture.com/blog/how-to-network-in-tech-2026)[📈 Industry Trends

## Training Hiring Managers to Interview Engineers Well (2026)

A practical playbook for training engineering hiring managers in 2026 — what to teach, in what order, and how to run the calibration and shadowing loops that fix inconsistent interviews.

Jul 13, 202611 min read

](https://jobsbyculture.com/blog/training-hiring-managers-engineering-2026)[🤖 AI Skills

## Production RAG in 2026: From Prototype to Scale

Everything a working ML/AI engineer needs to move a RAG system from a demo notebook to production — chunking pitfalls, retrieval evals, latency budgets, cost, monitoring, and the failure modes nobody warns you about.

Jul 13, 202612 min read

](https://jobsbyculture.com/blog/production-rag-guide-2026)[🎉 Workplace Moments

## 30 Welcome Messages for a New Boss (Warm, Respectful & Ready-to-Send)

30 welcome messages to send to a new boss — warm, respectful, and copy-paste ready. Whether you're the direct report, the team lead, or an admin sending on behalf of the team, the tone in the first week matters more than you think.

Jul 12, 20267 min read

](https://jobsbyculture.com/blog/welcome-messages-for-new-boss)[📈 Industry Trends

## Interviewer Training for Engineering Teams (2026): A Practical Program

Untrained interviewers are the single biggest reason strong candidates get false-negatives and weak candidates get through. Here is a real interviewer training program for engineering teams — calibration, question banks, debriefs, and how to actually roll it out.

Jul 12, 202611 min read

](https://jobsbyculture.com/blog/interviewer-training-engineering-2026)[📈 Industry Trends

## AI Observability Tools Compared (2026): LangSmith, Langfuse, Arize, Helicone, Braintrust

A no-marketing comparison of the AI observability tools engineering teams are actually using in 2026 — LangSmith, Langfuse, Arize Phoenix, Helicone, Braintrust — with the practical tradeoffs, when each one wins, and what to pick if you're starting today.

Jul 12, 202612 min read

](https://jobsbyculture.com/blog/ai-observability-tools-compared-2026)[📈 Industry Trends

## How to Give Two Weeks Notice at a Tech Job (2026): The Complete Playbook

Two weeks notice at a tech company is not the same as at a bank or a retail chain. Here is the actual sequence — from timing your resignation letter, to protecting your equity, to leaving clean references and a real bridge behind you.

Jul 12, 202610 min read

](https://jobsbyculture.com/blog/how-to-give-two-weeks-notice-tech-2026)[🎤 Interview Prep

## Hugging Face Interview Prep 2026: Loop, Questions, and How to Stand Out

A practical 2026 guide to the Hugging Face interview loop — what to expect at each stage, how the open-source-first culture shows up in interviews, technical topics that come up for ML and engineering roles, and how remote-first candidates should prepare.

Jul 11, 202610 min read

](https://jobsbyculture.com/blog/huggingface-interview-prep-2026)[📈 Industry Trends

## Engineer to Product Manager Transition in 2026: A Practical Playbook

How engineers can transition into product management in 2026 — what PMs actually do that engineers don't, how to build the case internally, how to interview externally, and the pay tradeoffs to understand before you switch.

Jul 11, 202611 min read

](https://jobsbyculture.com/blog/how-to-transition-from-engineer-to-product-manager-2026)[🎯 Talent & Hiring

## How to Hire Your First Designer in 2026 (Founder's Playbook + Equity Guide)

A practical 2026 playbook for hiring your first designer as a founder — product designer vs brand designer vs generalist, the salary and equity ranges that actually work, how to source without a recruiter, and the interview loop that separates strong hires from expensive mistakes.

Jul 11, 202611 min read

](https://jobsbyculture.com/blog/how-to-hire-your-first-designer-2026)[📈 Industry Trends

## 30+ Condolence Messages for Your Boss (2026): Thoughtful, Professional, Not Awkward

30+ thoughtful condolence messages to send to your boss for any loss — death of a family member, illness, pet loss. With guidance on tone, channel, and what to avoid when writing across the professional line.

Jul 11, 20269 min read

](https://jobsbyculture.com/blog/condolence-messages-for-boss)[📈 Industry Trends

## How to Recover From a Bad Performance Review (2026): The 90-Day Playbook

Got a bad performance review? Here's a calm, tactical 90-day playbook to bounce back, rebuild trust with your manager, and either recover your standing or exit on your terms.

Jul 10, 202611 min read

](https://jobsbyculture.com/blog/how-to-recover-from-bad-performance-review-2026)[🚀 Career Growth

## How to Screen for Culture Fit Without Bias (2026): A Practical Playbook

Culture fit interviews are where bias hides. Here's a structured playbook to screen for actual culture match — the values, work style, and behaviors that predict success — without smuggling in bias.

Jul 10, 202612 min read

](https://jobsbyculture.com/blog/how-to-screen-culture-fit-without-bias-2026)[📈 Industry Trends

## Introduction Messages for a New Manager to the Team (30 Templates for 2026)

30 real introduction messages a new manager can send to their team on day 1 — Slack, email, all-hands, and 1:1 openers. Warm, low-cringe, copy-paste ready.

Jul 10, 20268 min read

](https://jobsbyculture.com/blog/introduction-messages-for-new-manager-to-team)[🤖 AI Skills

## LLM Tracing Tools Compared (2026): LangSmith vs Langfuse vs Braintrust vs Helicone

Which LLM tracing platform should your team pick in 2026? LangSmith, Langfuse, Braintrust, or Helicone — a hands-on comparison of tracing depth, eval integration, cost, and hiring signal.

Jul 10, 202613 min read

](https://jobsbyculture.com/blog/llm-tracing-tools-compared-2026)[📈 Industry Trends

## 12 Signs Your Tech Job Is Actually Toxic (2026 Guide)

12 concrete signs your tech job is toxic (not just stressful) — how to tell burnout from a bad workplace, what data to look at first, when to leave, and what to say in your one-on-one before you decide.

Jul 9, 202610 min read

](https://jobsbyculture.com/blog/signs-your-tech-job-is-toxic-2026)[🏢 Company Insights

## How to Respond to Negative Glassdoor Reviews: The 2026 Playbook

Negative Glassdoor reviews are inevitable. How you respond to them decides whether they help or hurt your hiring pipeline. Here is the response framework, 6 real templates, and the escalation path for when a review is defamatory.

Jul 9, 202610 min read

](https://jobsbyculture.com/blog/how-to-respond-to-negative-glassdoor-reviews-2026)[🎤 Interview Prep

## Vanta Interview Prep 2026: Process, Questions & What to Expect

Complete Vanta interview prep guide for 2026: recruiter screen, HackerRank assessment, technical rounds, architecture review, and what Christina Cacioppo's team looks for at the security compliance company defining SOC 2 automation.

Jul 9, 202611 min read

](https://jobsbyculture.com/blog/vanta-interview-prep-2026)[🎉 Workplace Moments

## Farewell Speech for a Colleague Leaving: 15 Ready-to-Use Templates (2026)

15 farewell speech templates for a colleague leaving — heartfelt, funny, and professional versions for coworkers, managers, and best friends. Copy, personalize, deliver in under 3 minutes.

Jul 9, 202610 min read

](https://jobsbyculture.com/blog/farewell-speech-for-colleague-leaving)[🎉 Workplace Moments

## Farewell Messages for a Mentor (2026): 40 Heartfelt, Funny, and Professional Examples

40 farewell messages for a mentor leaving — heartfelt, funny, formal, retirement, and short-note options. Copy, paste, and personalize. All the phrasing you need for cards, LinkedIn, or a final email.

Jul 8, 20267 min read

](https://jobsbyculture.com/blog/farewell-messages-for-mentor-2026)[🎯 Talent & Hiring

## How to Hire Staff Engineers in 2026: A Practical Guide for Engineering Leaders

How to actually hire staff engineers in 2026 — leveling honestly, designing an interview loop for judgment (not speed), the four staff archetypes, comp ranges, and the mistakes that make good candidates walk.

Jul 8, 202610 min read

](https://jobsbyculture.com/blog/how-to-hire-staff-engineers-2026)[📈 Industry Trends

## How to Transition Into AI Roles in 2026: A Realistic Playbook for Software Engineers

A realistic 2026 playbook for software engineers moving into AI roles. What to actually learn, what to skip, how long it really takes, and how to build a portfolio that gets you interviews.

Jul 8, 202610 min read

](https://jobsbyculture.com/blog/how-to-transition-into-ai-roles-2026)[🤖 AI Skills

## RAG vs Fine-Tuning vs Prompt Engineering (2026): A Decision Framework for Engineers

A grounded 2026 decision framework: when to use prompt engineering, when to use RAG, when to fine-tune. The trade-offs, the honest cost comparison, and the hybrid pattern most production LLM systems actually use.

Jul 8, 202611 min read

](https://jobsbyculture.com/blog/rag-vs-fine-tuning-vs-prompt-engineering-2026)[🚀 Career Growth

## Engineering Manager to VP: The Career Path in 2026 (Timeline, Comp, Skills)

The path from Engineering Manager to VP of Engineering in 2026: the 8-15 year timeline, the Director step you can't skip, real compensation bands by company stage, and the specific skills that separate EMs who make VP from those who plateau at Senior EM.

Jul 7, 202613 min read

](https://jobsbyculture.com/blog/engineering-manager-to-vp-career-path-2026)[🎯 Talent & Hiring

## How to Hire Your First Engineer in 2026 (Founder's Playbook + Equity Guide)

A practical 2026 playbook for hiring your first engineer as a founder — how to source, what to screen for, the salary and equity ranges that actually work in 2026, and how to structure the offer without giving away the company.

Jul 7, 202612 min read

](https://jobsbyculture.com/blog/how-to-hire-your-first-engineer-2026)[📈 Industry Trends

## Structured Output with LLMs 2026: JSON Mode, Tool Calling & Constrained Decoding

The practical guide to structured output from LLMs in 2026. JSON mode vs tool/function calling vs constrained decoding — how each works, when to pick which, and how to make production LLM output testable.

Jul 7, 202611 min read

](https://jobsbyculture.com/blog/structured-output-with-llms-2026)[📈 Industry Trends

## 60 Office Move Messages for a Coworker (Copy-Paste, By Move Type)

60 copy-paste office move messages for a coworker, organized by move type — new desk, new floor, new building, relocation. Warm, funny, and work-appropriate. Skip the "good luck at the new office" energy.

Jul 7, 20267 min read

](https://jobsbyculture.com/blog/office-move-messages-for-coworker)[🎤 Interview Prep

## Cohere Interview Prep 2026: Process, Questions & What to Expect

A grounded prep guide for the Cohere interview in 2026: the 4–6 week loop, the technical + ML rounds, the enterprise-serving system design questions, and the behavioral signals Aidan Gomez's team actually looks for.

Jul 6, 202612 min read

](https://jobsbyculture.com/blog/cohere-interview-prep-2026)[🚀 Career Growth

## How to Negotiate a Promotion Without Leaving Your Job (2026 Playbook)

A 6-week promotion campaign that works without threatening to quit: how to build a written case, position your manager as an ally, and get the title and comp bump before you interview elsewhere.

Jul 6, 202610 min read

](https://jobsbyculture.com/blog/how-to-negotiate-promotion-without-leaving-2026)[📈 Industry Trends

## How to Run a Technical Screen That Respects Senior Engineers (2026)

Senior engineers are quietly declining your interviews. Here's why your technical screen loses top candidates in the first 15 minutes — and the 45-minute format that fixes it without dropping your signal.

Jul 6, 202611 min read

](https://jobsbyculture.com/blog/how-to-run-technical-screen-senior-candidates-2026)[📈 Industry Trends

## Resignation Announcement Messages to Your Team: 30 Copy-Ready Examples

30 resignation announcement messages you can send to your team — short and long, warm and neutral, formal and personal. Covers the awkward parts: unexpected departures, resignations mid-project, remote-only teams, and staying in touch.

Jul 6, 20269 min read

](https://jobsbyculture.com/blog/resignation-announcement-messages-to-team)[📈 Industry Trends

## How to Build an Engineering Culture Page That Actually Converts (2026)

Most engineering culture pages are marketing pages disguised as culture pages. Here's what actually converts senior engineers in 2026 — and why 'we move fast and value ownership' has never persuaded anyone.

Jul 5, 20269 min read

](https://jobsbyculture.com/blog/engineering-culture-page-that-converts-2026)[🤖 AI Skills

## LLM Prompt Caching Strategies for Production Systems (2026 Guide)

A practical 2026 guide to prompt caching in production LLM systems — how it works, when to use it, common pitfalls, cost impact, and how the top providers (Anthropic, OpenAI, Google, Amazon) approach it.

Jul 5, 202612 min read

](https://jobsbyculture.com/blog/llm-prompt-caching-strategies-2026)[📈 Industry Trends

## 75+ New Job Congratulations Messages for a Coworker (2026)

Ready-to-send congratulations messages when a coworker gets a new job — 75+ examples across warm, funny, professional, LinkedIn, and farewell-card tones. Copy, paste, or edit in seconds.

Jul 5, 2026

](https://jobsbyculture.com/blog/new-job-congratulations-messages-for-coworker)[📈 Industry Trends

## When to Leave a Startup for Big Tech (2026): 4-Signal Decision Framework

Leave the startup when three of four signals fire at once: flat learning curve, broken equity story, best coworkers interviewing, roadmap that no longer excites you. A no-fluff 2026 framework — how to check each signal cleanly, without the coping.

Jul 5, 202610 min read

](https://jobsbyculture.com/blog/when-to-leave-startup-for-big-tech-2026)[📈 Industry Trends

## AI Code Review Tools Compared: A Framework for Choosing (2026)

A framework for choosing AI code review tools in 2026. What each category actually does well, where they fail, and the honest tradeoffs between reviewer-augmentation, PR-summarization, and full autonomous review.

Jul 4, 202613 min read

](https://jobsbyculture.com/blog/ai-code-review-tools-compared-2026)[📈 Industry Trends

## How to Onboard Remote Engineers in 90 Days: A Playbook for Hiring Managers (2026)

A 90-day onboarding playbook for remote engineers, built from what actually works. Week-by-week milestones, the trap most managers fall into by day 30, and the metric that separates a stuck new hire from a productive one.

Jul 4, 202615 min read

](https://jobsbyculture.com/blog/how-to-onboard-remote-engineers-2026)[📈 Industry Trends

## Should I Take a Pay Cut to Join a Startup? A Framework for Deciding (2026)

A decision framework for taking a pay cut to join a startup. Answer: it can be worth it, but only if the equity math actually works, the founder is worth betting on, and you can absorb 12–24 months of lower cash without pain. Here's how to run each check.

Jul 4, 202614 min read

](https://jobsbyculture.com/blog/should-i-take-pay-cut-for-startup-2026)[🎉 Workplace Moments

## 100+ Work Anniversary Messages for Your Boss (Copy-Paste, By Milestone, 2026)

100+ copy-paste work anniversary messages for your boss — sorted by milestone (1, 5, 10, 20+ years) and tone (formal, warm, from the whole team). Pick one, swap the name, send. The best ones name one specific way they've made your job better.

Jul 4, 202612 min read

](https://jobsbyculture.com/blog/work-anniversary-messages-for-boss-2026)[📈 Industry Trends

## How to Become a Tech Lead in 2026: The Real Path, Not the Job Description

Becoming a tech lead is less about promotion and more about earning trust. Here's what the role actually looks like in 2026, the skills that matter, and how engineers make the jump — without leaving the code behind.

Jul 3, 202610 min read

](https://jobsbyculture.com/blog/how-to-become-a-tech-lead-2026)[🎤 Interview Prep

## Supabase Interview Prep in 2026: Process, Questions & What to Expect

A field guide to interviewing at Supabase in 2026 — the async, remote-first loop, the founder round, the technical take-home, and what the open-source-first culture actually tests for. From recruiter screen to offer, in one honest walkthrough.

Jul 3, 202611 min read

](https://jobsbyculture.com/blog/supabase-interview-prep-2026)[📈 Industry Trends

## 48 Thank You Messages for Your Mentor (Copy-Paste Ready, 2026)

The right thank-you message for your mentor — short and warm, formal, career mentor, coding mentor, first-boss mentor, or a heartfelt long note. 48 examples you can copy, paste, and personalize in under a minute.

Jul 3, 20267 min read

](https://jobsbyculture.com/blog/thank-you-messages-for-mentor-2026)[📈 Industry Trends

## Why Engineering Offers Get Declined in 2026

Engineers turn down offers for reasons hiring teams rarely see. Here's the honest playbook: the six reasons candidates walk away, the signals you can spot before final round, and the specific tactics that move offer-accept rates in 2026.

Jul 3, 20269 min read

](https://jobsbyculture.com/blog/why-engineering-offers-get-declined-2026)[🎉 Workplace Moments

## 80+ Get Well Messages for Your Boss (2026)

80+ copy-paste-ready get well messages for your boss — organized by tone: sincere, professional, from the whole team, for a serious illness, and for a boss you're close to. Warm but respectful, without overstepping.

Jul 2, 20267 min read

](https://jobsbyculture.com/blog/get-well-messages-for-boss-2026)[📈 Industry Trends

## How to Close an Engineering Candidate: The Verbal-to-Signed Playbook (2026)

You gave the offer. They said 'let me think'. Most closing playbooks stop there. This is the 10-day playbook for actually landing engineering candidates in 2026 — the closing signals, the counter-offer response, the CEO call, and the mistakes that lose signed candidates.

Jul 2, 202612 min read

](https://jobsbyculture.com/blog/how-to-close-an-engineering-candidate-2026)[🚀 Career Growth

## How to Negotiate Remote Work in a Hybrid Company (2026)

Your company mandates 3 days in office. You want fully remote. Here's the exact framework — what to ask for, when to ask, who to ask, how to frame it, and the 5 mistakes that get requests denied.

Jul 2, 202611 min read

](https://jobsbyculture.com/blog/how-to-negotiate-remote-work-in-hybrid-company-2026)[🤖 AI Skills

## Streaming LLM Responses: The Complete Engineering Guide (2026)

How to stream LLM responses to users the right way — SSE vs WebSockets vs chunked HTTP, first-token latency, backpressure, tool call streaming, error handling mid-stream, and the mistakes that cause 'looks fine locally but broken in prod'.

Jul 2, 202613 min read

](https://jobsbyculture.com/blog/streaming-llm-responses-guide-2026)[🤖 AI Skills

## Embedding Models Compared in 2026: Voyage-3 vs OpenAI vs Cohere vs Gemini vs BGE-M3

A senior engineer's guide to choosing an embedding model in 2026 — Voyage-3-large, OpenAI text-embedding-3-large, Cohere embed-v4, Gemini Embedding 001, BGE-M3, Nomic Embed and E5-Mistral compared on quality, price, dimensions and context length.

Jul 1, 202613 min read

](https://jobsbyculture.com/blog/embedding-models-compared-2026)[📈 Industry Trends

## Hiring Rubrics for Engineering Teams (2026): The Anatomy of a Rubric That Actually Works

Most engineering hiring rubrics fail because they measure the wrong things. Here's the anatomy of a rubric that produces consistent, defensible decisions in 2026.

Jul 1, 202611 min read

](https://jobsbyculture.com/blog/hiring-rubrics-for-engineering-teams-2026)[🚀 Career Growth

## How to Negotiate a Raise as an Engineer in 2026 (Playbooks, Scripts, Timing)

A senior engineer's honest playbook for negotiating a raise in 2026: the calibration memo, the competing offer, retention conversations, equity refreshes, and the scripts that actually land.

Jul 1, 202611 min read

](https://jobsbyculture.com/blog/how-to-negotiate-a-raise-as-an-engineer-2026)[🎉 Workplace Moments

## 40+ Welcome Messages for Summer Interns 2026 (Slack, LinkedIn, Email)

40+ warm, copy-paste ready welcome messages for summer interns 2026 — for Slack, LinkedIn, email, and Day 1. Written for managers, HR, and team leads.

Jul 1, 202611 min read

](https://jobsbyculture.com/blog/welcome-messages-for-summer-interns-2026)[🎉 Workplace Moments

## 30 Appreciation Messages for Your Manager (2026): Sincere, Specific, and Easy to Send

30 copy-paste appreciation messages for your manager — sincere short notes, deeper thank-yous, holiday and end-of-year wishes, farewell messages, and what to write when they helped you through something hard.

Jun 30, 20267 min read

](https://jobsbyculture.com/blog/appreciation-messages-for-manager)[📈 Industry Trends

## How to Ask for a Promotion in Tech (2026): The Conversation, the Case, and the Timing

A direct guide to asking for a promotion as a software engineer in 2026. How to build the case, what to put in the doc, when to bring it up, and the scripts that work when your manager pushes back.

Jun 30, 202611 min read

](https://jobsbyculture.com/blog/asking-for-a-promotion-in-tech-2026)[💰 Compensation

## Engineering Compensation Bands in 2026: A Practical Guide for Talent Leaders

How to design, maintain, and communicate engineering compensation bands in 2026. The decisions that matter — band width, geo factors, refresh cadence, and the politics of who sees what.

Jun 30, 202612 min read

](https://jobsbyculture.com/blog/engineering-compensation-bands-2026)[📈 Industry Trends

## Small Language Models in 2026: When to Use Them, Which Ones, and Why Agents Are Driving the Shift

A practical 2026 guide to small language models (SLMs). The models that matter, the agentic shift NVIDIA called early, when to choose Phi-4 vs Gemma vs Llama 3.2 vs Qwen3, and the deployment patterns that actually work in production.

Jun 30, 202611 min read

](https://jobsbyculture.com/blog/small-language-models-2026)[📈 Industry Trends

## AI Evals Frameworks Compared (2026): Braintrust vs LangSmith vs Phoenix vs Promptfoo vs DeepEval

A working engineer’s comparison of the main LLM evaluation frameworks in 2026 — Braintrust, LangSmith, Arize Phoenix, Weights & Biases Weave, Helicone, DeepEval, Promptfoo, TruLens, OpenAI Evals, and Inspect. What each is built for, where each breaks down, and how to pick.

Jun 29, 202614 min read

](https://jobsbyculture.com/blog/ai-evals-frameworks-compared-2026)[📈 Industry Trends

## 35 Congratulations Messages for a Boss's Promotion (2026)

35 ready-to-send congratulations messages for your boss’s promotion — warm without being sycophantic, professional without being cold. Use as-is or tweak in 30 seconds.

Jun 29, 20266 min read

](https://jobsbyculture.com/blog/congratulations-on-promotion-messages-for-boss)[📈 Industry Trends

## Managing Up as an Engineer in 2026: A Field Guide for ICs Who Hate the Phrase

Managing up isn’t politics. It’s the practice of making your manager’s job easier so they make yours easier. A field guide for ICs who roll their eyes at the phrase — with concrete tactics for status updates, 1:1s, scope battles, and credit.

Jun 29, 202611 min read

](https://jobsbyculture.com/blog/managing-up-as-an-engineer-2026)[📈 Industry Trends

## Pay Transparency in Job Postings (2026): What the Data Shows + a Hiring Playbook

Should you publish salary ranges in your job postings? In 2026, in most US tech markets, the law decides for you. A practical guide for hiring managers and TA leads on what to publish, how to set ranges, and how to handle the hard questions candidates will ask.

Jun 29, 202610 min read

](https://jobsbyculture.com/blog/pay-transparency-job-postings-2026)[📈 Industry Trends

## How to Ace Your Reference Check in 2026 (The Step Most Candidates Botch)

A practical 2026 guide to nailing the reference check — who to pick, how to prep them, what to do if a past manager hates you, and the questions reference-checkers actually ask.

Jun 28, 20269 min read

](https://jobsbyculture.com/blog/ace-your-reference-check-2026)[📈 Industry Trends

## How to Build a Semantic Search Engine in 2026 (End-to-End Guide)

A practical end-to-end guide to building semantic search in 2026 — embeddings, hybrid retrieval, reranking, evaluation, and the architectural decisions that actually matter in production.

Jun 28, 202614 min read

](https://jobsbyculture.com/blog/building-semantic-search-engine-2026)[📈 Industry Trends

## 40 Goodbye Messages for a Manager Leaving the Company (2026)

40 copy-paste goodbye messages for a manager leaving the company — heartfelt, professional, short, funny, and the rare honest one. Plus what to write in a card, Slack, or LinkedIn.

Jun 28, 20267 min read

](https://jobsbyculture.com/blog/goodbye-messages-for-manager-leaving-2026)[📈 Industry Trends

## How to Interview Senior Engineers Without Insulting Them (2026)

A field guide for hiring teams: the loop format senior engineers actually respect, the rounds to retire in 2026, and how to assess judgment without the LeetCode theater.

Jun 28, 202610 min read

](https://jobsbyculture.com/blog/interview-senior-engineers-without-insulting-2026)[📈 Industry Trends

## Engineering Take-Home Assignments in 2026: 90 Minutes, Open AI Use, Live Debrief

The take-home that works in 2026 is 90 minutes of real code, open AI use, with a 30-minute live debrief afterwards. Anything longer, and your strong candidates ghost; anything shorter, and you can't tell taste from luck. Here's the format, the rubric, the AI policy, and the debrief that produces real signal.

Jun 27, 202613 min read

](https://jobsbyculture.com/blog/engineering-take-home-assignment-design-2026)[📈 Industry Trends

## 90+ Funny Goodbye Messages for a Coworker (Without Being Cringy)

90+ funny goodbye messages for a coworker leaving the team — witty, sentimental-but-not-sappy, perfect for Slack send-offs, group cards, and final all-hands toasts.

Jun 27, 202611 min read

](https://jobsbyculture.com/blog/funny-goodbye-messages-for-coworker-2026)[🤖 AI Skills

## LLM Routing Strategies: A 2026 Engineer's Guide to Cost-Quality Tradeoffs

LLM routing strategies that production teams actually use in 2026 — cost-aware, semantic, cascading, intent-based. How to pick a strategy, what each one costs in latency, and the routers worth knowing.

Jun 27, 202612 min read

](https://jobsbyculture.com/blog/llm-routing-strategies-2026)[📈 Industry Trends

## 50 Reverse Interview Questions Engineers Should Ask in 2026

50 reverse interview questions for software engineers — the ones that surface culture, management, on-call, growth, and equity before you sign. Plus the red-flag answers to watch for.

Jun 27, 202614 min read

](https://jobsbyculture.com/blog/reverse-interview-questions-for-engineers-2026)[🤖 AI Skills

## AI Engineer vs ML Engineer in 2026: Which Role Should You Target?

The short answer: AI engineers ship products on top of foundation models. ML engineers build custom models on proprietary data. Here's how to decide which one fits your skills, salary expectations, and what you actually want to work on.

Jun 26, 202611 min read

](https://jobsbyculture.com/blog/ai-engineer-vs-ml-engineer-2026)[📈 Industry Trends

## How to Research a Company Before Applying (2026 Playbook)

Spend 30 minutes before you apply and save yourself six months in the wrong job. A step-by-step research playbook — funding signals, culture clues, attrition red flags, and what to ignore — used by engineers who actually pick well.

Jun 26, 202610 min read

](https://jobsbyculture.com/blog/how-to-research-a-company-before-applying-2026)[🎉 Workplace Moments

## 30 Welcome Messages for a New Manager (Warm, Professional & From the Team)

30 welcome messages for a new manager — warm, professional, and from-the-team. Copy and paste into a card or Slack. Set the right tone from day one.

Jun 26, 20268 min read

](https://jobsbyculture.com/blog/welcome-messages-for-new-manager)[📈 Industry Trends

## Why Developers Ignore Your Job Posts (And What to Do About It)

If you're getting 200 applications but none from the engineers you actually want, the problem is the post — not the funnel. A field guide to fixing the seven most common reasons strong developers skip your job posts in 2026.

Jun 26, 20269 min read

](https://jobsbyculture.com/blog/why-developers-ignore-your-job-posts-2026)[📈 Industry Trends

## Engineering Levels Compared: FAANG vs Scale-Ups vs Startups (2026)

A senior engineer at one company is a staff engineer at the next and a principal at the third. Here's how engineering levels actually map across FAANG, scale-ups, and startups in 2026 — and how to translate them when you change jobs.

Jun 25, 202611 min read

](https://jobsbyculture.com/blog/engineering-levels-compared-faang-startups-2026)[📈 Industry Trends

## 30 Goodbye Messages from a Coworker Who's Leaving (2026)

30 thoughtful goodbye messages you can send when you're the one leaving the team — organized by audience (team, manager, close friend, group email). Copy-paste ready.

Jun 25, 20268 min read

](https://jobsbyculture.com/blog/goodbye-messages-from-coworker-leaving)[🏢 Company Insights

## Open-Source vs Closed LLMs in 2026: A Decision Framework for Engineers

The open-source vs closed LLM gap closed in 2025. In 2026, the question is no longer 'which is smarter' but 'which fits your latency, cost, license, and data-control constraints.' A practical decision framework.

Jun 25, 202611 min read

](https://jobsbyculture.com/blog/open-source-vs-closed-llms-2026)[📈 Industry Trends

## Why Engineers Withdraw Mid-Interview Process (And How to Stop the Bleeding)

The strongest engineering candidates are the ones most likely to withdraw mid-loop. Here's what's actually driving the drop-off in 2026 — and the specific changes to your process that recover the most candidates.

Jun 25, 20269 min read

](https://jobsbyculture.com/blog/why-engineers-withdraw-mid-interview-2026)[📈 Industry Trends

## The Bar Raiser Interview Process (2026): How to Adopt Amazon's Hiring Quality System

Amazon's Bar Raiser is the most copied hiring quality system in tech. Here's how it actually works, the failure modes most companies hit when they try to clone it, and a lighter-weight version that smaller teams can run from day one.

Jun 24, 202612 min read

](https://jobsbyculture.com/blog/bar-raiser-interview-process-guide-2026)[📈 Industry Trends

## How to Handle a Layoff as a Senior Engineer (2026): A Practical Playbook

Got laid off as a senior engineer? Here's the 7-day playbook: lock in severance, negotiate equity vesting, audit your runway, and run a 90-day search that lands a better role — not a panic offer.

Jun 24, 202613 min read

](https://jobsbyculture.com/blog/how-to-handle-a-layoff-senior-engineer-2026)[🤖 AI Skills

## LLM Gateway: The 6 Features Yours Must Have (2026 Build vs Buy Guide)

An LLM gateway needs to nail six load-bearing features: unified provider API, model routing, retries + fallback, caching, observability, rate limits. Here's what each one buys you, and when OpenRouter / LiteLLM / Portkey / Vercel is the right call over building your own.

Jun 24, 202615 min read

](https://jobsbyculture.com/blog/llm-gateway-design-guide-2026)[📈 Industry Trends

## 50 Secret Santa Gift Ideas for Coworkers (2026): The Office-Approved Gift Guide

50 office-approved Secret Santa gift ideas for coworkers — sorted by budget ($10, $25, $50), personality (cozy, foodie, fitness, plant parent, gadget nerd), and the actual office hazards to avoid. Plus what to do when you draw a colleague you barely know.

Jun 24, 20268 min read

](https://jobsbyculture.com/blog/secret-santa-gift-ideas-for-coworkers)[🤖 AI Skills

## Chunking Strategies for RAG: A Practical Guide (2026)

Poor retrieval quality is where most production RAG systems silently fail — and suboptimal chunking is one of the leading contributors. A practical, opinionated guide to the six chunking strategies that matter, how to choose between them, and the mistakes that quietly tank retrieval quality.

Jun 23, 202611 min read

](https://jobsbyculture.com/blog/chunking-strategies-for-rag-2026)[📈 Industry Trends

## 35 Happy Friday Messages for a Coworker (Copy-Paste Ready, 2026)

35 ready-to-send Happy Friday messages for a coworker — warm, funny, professional, end-of-quarter, remote teams, and the messages that don't land like spam. Use as-is or tweak in 30 seconds.

Jun 23, 20267 min read

](https://jobsbyculture.com/blog/happy-friday-messages-for-coworker)[📈 Industry Trends

## When to Leave Your Job: 9 Honest Signals It's Time (2026)

The 9 signals that mean it's actually time to leave your job — and the three that look like quit signals but aren't. A clear, no-fluff framework for engineers and tech workers deciding whether to stay or go.

Jun 23, 202610 min read

](https://jobsbyculture.com/blog/when-to-leave-your-job-signals-2026)[📈 Industry Trends

## Why Engineers Drop Out at the Offer Stage in 2026: It's the Hiring Manager Call, Not the Comp

Around 1 in 5 engineering offers gets rejected — and the rejection note almost always blames pay. The real reason is the hiring-manager call, the tired-looking team, or the 5-day silence after the final round. The 7 patterns that lose offers, and how to fix each one.

Jun 23, 20269 min read

](https://jobsbyculture.com/blog/why-engineers-drop-out-at-offer-stage-2026)[🚀 Career Growth

## The AI Platform Engineer Career Path (2026): Role, Skills, Salary & How to Break In

The 2026 guide to the AI Platform Engineer role — what it actually does, the skills hiring managers test for, realistic salary ranges across seniority, and the career paths that lead into it from DevOps, ML, and backend engineering.

Jun 22, 202611 min read

](https://jobsbyculture.com/blog/ai-platform-engineer-career-path-2026)[📈 Industry Trends

## 40+ Condolence Messages for a Coworker (2026): Death, Illness, Pet Loss & More

40+ thoughtful condolence messages for any kind of loss a coworker is facing — death of a family member, illness diagnosis, pet loss, miscarriage. With guidance on what to write in a card, when to send it, and what to avoid.

Jun 22, 20269 min read

](https://jobsbyculture.com/blog/condolence-messages-for-coworker)[📈 Industry Trends

## Engineering Skills Matrix Template (2026): 8 Areas × 6 Levels

The engineering skills matrix to actually use in 2026: 8 skill areas, 6 IC levels (IC1 through Staff+), 3-5 observable behaviors per cell, and the calibration rules that prevent gaming. Free template plus the failure modes that kill most matrices.

Jun 22, 202611 min read

](https://jobsbyculture.com/blog/engineering-skills-matrix-template-2026)[📈 Industry Trends

## Switching to a Tech Career in 2026: An Honest Guide to What Actually Works Now

The honest 2026 guide to switching into tech. Bootcamps are slower to pay off, juniors are getting AI-displaced, but specific paths still work. What changed, what didn't, and the roles that are actually hiring this year.

Jun 22, 202612 min read

](https://jobsbyculture.com/blog/switching-to-tech-career-2026)[📈 Industry Trends

## 66 Congratulations on New Baby Messages for Coworkers (Heartfelt, Funny & Professional)

66 ready-to-send congratulations on new baby messages for coworkers — heartfelt, funny, professional, and from-the-team. Copy-paste ready for cards, Slack, email, or a team-signed message.

Jun 21, 202611 min read

](https://jobsbyculture.com/blog/congratulations-on-new-baby-messages)[🚀 Career Growth

## The Director of Engineering Career Path in 2026: Scope, Comp, and How to Get There

The Director of Engineering role in 2026: managing managers, owning 30-80 engineers, $400K-$700K total comp at top companies, and the specific skills that separate Senior EMs who get promoted from those who plateau.

Jun 21, 202613 min read

](https://jobsbyculture.com/blog/director-of-engineering-career-path-2026)[📈 Industry Trends

## How to Build an Engineering Onboarding Program in 2026 (That Actually Gets Engineers Productive)

A working playbook for engineering onboarding in 2026: the 90-day arc, the buddy system that drives new-hire productivity, why first-commit-in-3-days predicts retention, and what the best engineering teams do that average teams skip.

Jun 21, 202614 min read

](https://jobsbyculture.com/blog/engineering-onboarding-program-2026)[🤖 AI Skills

## LLM Agents vs Workflows in 2026: When to Use Each (and Why Most Teams Pick Wrong)

LLM agents vs workflows in 2026: the actual difference, when each is the right choice, the cost/latency tradeoffs, and the design patterns that separate production agentic systems from expensive demos.

Jun 21, 202615 min read

](https://jobsbyculture.com/blog/llm-agents-vs-workflows-2026)[🤖 AI Skills

## The AI Agent Debugging Playbook (2026): Traces, Replay, Eval Loops & the 8 Failure Modes

A practical engineering guide to debugging AI agents in 2026 — structured tracing, deterministic replay, eval loops, and the 8 failure modes (tool selection, hallucinated arguments, planning loops, latent context bleed) that ship past unit tests.

Jun 20, 202611 min read

](https://jobsbyculture.com/blog/ai-agent-debugging-guide-2026)[📈 Industry Trends

## The Engineering Interview Rubric Playbook (2026): How to Stop Hiring on Vibes

A complete engineering interview rubric playbook for 2026 — the 5 calibration anchors, the scoring scale that actually works, how to write rubric criteria that catch real signal, and the failure modes that quietly produce biased decisions.

Jun 20, 202610 min read

](https://jobsbyculture.com/blog/engineering-interview-rubric-2026)[📈 Industry Trends

## How to Give Two Weeks Notice in 2026: Scripts, Emails & the Exit Playbook

The complete two weeks notice playbook for 2026 — when to tell your manager, the exact resignation script, an email template, what to say in the exit interview, and the 9 mistakes that quietly burn bridges.

Jun 20, 20269 min read

](https://jobsbyculture.com/blog/how-to-give-two-weeks-notice-2026)[📈 Industry Trends

## 60 "I'll Miss You" Messages for a Coworker Leaving (2026)

60 honest, copy-paste-ready 'I'll miss you' messages for a coworker who's leaving — short cards, longer goodbye notes, funny ones, and quiet ones. Plus how to write your own when the templates don't quite fit.

Jun 20, 20267 min read

](https://jobsbyculture.com/blog/miss-you-messages-for-coworker)[📈 Industry Trends

## Engineering Career Ladders in 2026: How to Structure Levels Without Breaking Comp Equity

A practical guide for engineering leaders building or reworking career ladders in 2026 — level definitions, IC vs management tracks, calibration, and the comp-equity trap.

Jun 19, 202610 min read

](https://jobsbyculture.com/blog/engineering-career-ladders-structure-2026)[📈 Industry Trends

## 100+ Housewarming Messages for a Coworker (Warm, Funny & Professional)

100+ housewarming wishes and messages for a coworker who just moved into a new home — warm, funny, and professional. Copy-paste ready for cards, Slack, or gift notes.

Jun 19, 202612 min read

](https://jobsbyculture.com/blog/housewarming-messages-for-coworker)[📈 Industry Trends

## How to Evaluate a Startup Equity Offer in 2026: The 5-Minute Framework

A startup is offering you 0.25% equity. Is that good? Use this 5-minute framework — strike price, dilution, preferences, expected value — to know before you sign.

Jun 19, 20269 min read

](https://jobsbyculture.com/blog/how-to-evaluate-startup-equity-offer-2026)[🤖 AI Skills

## LLM as Judge in 2026: How to Evaluate AI Outputs at Scale (Practical Guide)

Using LLMs to evaluate other LLMs — the practical guide. Pairwise vs reference-based scoring, bias correction, golden datasets, and the production patterns that actually work in 2026.

Jun 19, 202611 min read

](https://jobsbyculture.com/blog/llm-as-judge-evaluation-guide-2026)[📈 Industry Trends

## How to Ask for a Raise as a Software Engineer in 2026 (The Real Script)

The exact script, timing, evidence pack, and follow-up sequence software engineers use to ask for a raise in 2026 — what to send before the conversation, how to handle the four most common manager responses, and what to do if the answer is no.

Jun 18, 202610 min read

](https://jobsbyculture.com/blog/how-to-ask-for-a-raise-software-engineer-2026)[📈 Industry Trends

## How to Run an Engineering Onsite in 2026 (The Hiring Manager's Playbook)

The full playbook for running an engineering onsite in 2026 — the day-of schedule, the role of each interviewer, the candidate experience details that move offer acceptance, the debrief structure that produces a real decision, and the seven mistakes that kill loops.

Jun 18, 202611 min read

](https://jobsbyculture.com/blog/how-to-run-an-engineering-onsite-2026)[📈 Industry Trends

## Prompt Caching: The 2026 Engineer's Guide (Anthropic vs OpenAI, Costs, When It Pays Off)

Prompt caching cuts input token costs by up to 90% on Anthropic and 50% on OpenAI — but only if you structure your prompts correctly. The full 2026 engineer's guide: how Anthropic and OpenAI differ, the 1,024-token threshold, the cache-write breakeven math, and the four real-world patterns where caching pays off.

Jun 18, 202611 min read

](https://jobsbyculture.com/blog/prompt-caching-engineers-guide-2026)[🎉 Workplace Moments

## 30 Retirement Messages for Your Boss (Heartfelt, Short, Copy-Paste 2026)

30 ready-to-send retirement messages for your boss — organized by relationship (long-time mentor, recent manager, group send, formal card). Warm without being awkward, short enough to actually send. Personalize the \[bracketed\] bits and go.

Jun 18, 20267 min read

](https://jobsbyculture.com/blog/retirement-messages-for-boss)[📈 Industry Trends

## Recover From a Tech Layoff: A 90-Day Career Reset Plan (2026)

A practical 90-day plan for tech workers recovering from a layoff in 2026 — the first week's survival moves, the 30-day pipeline build, and how to land a better role by Day 90 without burning out.

Jun 17, 202611 min read

](https://jobsbyculture.com/blog/recover-from-tech-layoff-90-day-plan-2026)[📈 Industry Trends

## Counter-Offers in Engineering Hiring: A Hiring Manager's Playbook (2026)

When your engineering candidate gets a counter-offer from their current employer, what do you actually do? A 2026 playbook for hiring managers and engineering recruiters — what to match, what to ignore, and how to win without buying every candidate twice.

Jun 17, 202610 min read

](https://jobsbyculture.com/blog/counter-offers-hiring-manager-guide-2026)[📈 Industry Trends

## Prompt Injection Defense Guide for LLM Applications (2026)

A practical 2026 guide to defending LLM applications against prompt injection — the attack patterns that work, the defenses that actually hold, and the layered architecture that's becoming standard for production AI systems.

Jun 17, 202612 min read

](https://jobsbyculture.com/blog/prompt-injection-defense-guide-2026)[📈 Industry Trends

## 40 Thank You Messages for Your Team (Copy-Paste Ready, 2026)

40 ready-to-send thank-you messages for your team — for project wins, late nights, quiet contributors, end-of-year, and the moments that don't fit any template. Use as-is or tweak in 30 seconds.

Jun 17, 20267 min read

](https://jobsbyculture.com/blog/thank-you-messages-for-team-2026)[📈 Industry Trends

## Engineer to Manager Transition in 2026: When to Switch, How to Decide, and What Changes

Only switch from engineer to manager if you're already doing the work informally. The EM role is a different job with a slower feedback loop and comp comparable to strong senior IC. Here's how to decide, what actually changes in the first 90 days, and how to reverse if you need to.

Jun 16, 20269 min read

](https://jobsbyculture.com/blog/engineer-to-manager-transition-2026)[📈 Industry Trends

## AI Pair Programming Workflows in 2026: How Real Engineers Actually Code With AI

The honest version of AI pair programming in 2026 — five workflows that actually work, the failure modes that waste your day, when to trust the suggestion and when not to, and how senior engineers structure their loop.

Jun 16, 202611 min read

](https://jobsbyculture.com/blog/ai-pair-programming-workflows-2026)[📈 Industry Trends

## Hiring Junior Engineers in 2026: A Practical Playbook for the Post-AI Era

How to hire junior engineers in 2026 when AI has changed what 'entry level' even means. Practical guidance on sourcing, screening, interview design, ramp expectations, and why the companies that figure this out now will own the next decade of engineering talent.

Jun 16, 202610 min read

](https://jobsbyculture.com/blog/hiring-junior-engineers-2026)[📈 Industry Trends

## 60 Interview Good Luck Messages for a Coworker (2026)

60 calm, copy-paste-ready interview good luck messages for a coworker, organized by scenario: first interview, panel round, final round, internal promotion, external switch. Plus a 60-second note on what to avoid sending.

Jun 16, 20265 min read

](https://jobsbyculture.com/blog/interview-good-luck-messages-for-coworker)[📈 Industry Trends

## How to Choose Your Engineering Specialization in 2026 (A Career Framework)

The honest guide to picking an engineering specialization in 2026 — the four-quadrant framework, what AI is doing to each track, and the test we run with engineers researching companies on JobsByCulture.

Jun 15, 20269 min read

](https://jobsbyculture.com/blog/choose-engineering-specialization-2026)[📈 Industry Trends

## Goodbye Email Templates for Your Last Day at Work (30+ Examples for 2026)

30+ copy-paste goodbye email templates for your last day at work — for coworkers, your boss, your team, clients, and your wider network. Short, warm, and ready to send.

Jun 15, 20268 min read

](https://jobsbyculture.com/blog/goodbye-email-templates-for-last-day)[🎯 Talent & Hiring

## How to Hire Engineering Managers in 2026 (A Talent Playbook)

A practical 2026 playbook for hiring engineering managers — what to actually screen for, the interview loop that works, why EM hiring fails so often, and how to assess judgment without theater.

Jun 15, 202610 min read

](https://jobsbyculture.com/blog/how-to-hire-engineering-managers-2026)[🤖 AI Skills

## LLM Fine-Tuning Methods Compared in 2026: LoRA, QLoRA, RLHF, DPO, RFT

A practical 2026 comparison of LLM fine-tuning methods — when to use LoRA vs QLoRA, why DPO replaced PPO/RLHF for most production teams, where RFT fits, and the decision tree we use with AI engineers.

Jun 15, 202611 min read

](https://jobsbyculture.com/blog/llm-fine-tuning-methods-compared-2026)[💰 Compensation

## Do I Have to Post a Salary Range? Yes

If you hire in California, Colorado, NY, WA, IL or one of the 13 other covered US jurisdictions, you must post a salary range. The state-by-state map, how to write a good-faith range, and the funnel data on what posting pay actually does to applicant quality.

Jun 14, 202611 min read

](https://jobsbyculture.com/blog/posting-salary-ranges-in-job-listings-2026)[💰 Compensation

## What AI Engineers & Researchers Actually Earn in 2026: Real Salaries by Lab & Level

AI engineer and researcher salaries in 2026, decoded. Base vs total comp at OpenAI, Anthropic, DeepMind, Meta & xAI — verified figures by level, the equity that drives 40–70% of pay, and how to value an offer.

Jun 14, 202614 min read

](https://jobsbyculture.com/blog/ai-engineer-researcher-salary-2026)[🏢 Company Insights

## Cohere Glassdoor Reviews Decoded 2026: What 33 Employees Really Say

Cohere's real Glassdoor rating in 2026 — 3.0/5 across 33 reviews (Career Opportunities 2.6, Work-Life Balance 2.6, Culture & Values 2.5). What employees love, what they warn about, how it compares, and who should apply.

Jun 14, 20269 min read

](https://jobsbyculture.com/blog/cohere-glassdoor-reviews-2026)[🏢 Company Insights

## Glean Glassdoor Reviews Decoded 2026: What 92 Employees Really Say

Glean's real Glassdoor rating in 2026 — 3.8/5 across 92 reviews (Career Opportunities 4.0, Work-Life Balance 3.9, Culture & Values 3.9, Compensation & Benefits 3.6). What employees love, what they warn about, how it compares, and who should apply.

Jun 14, 20269 min read

](https://jobsbyculture.com/blog/glean-glassdoor-reviews-2026)[📈 Industry Trends

## How to Explain a Tech Layoff in Job Interviews (2026 Guide)

A 30-second script plus the longer story. How to talk about being laid off in tech interviews without sounding defensive, bitter, or apologetic — written for the 2026 hiring market where layoffs are the rule, not the exception.

Jun 14, 202610 min read

](https://jobsbyculture.com/blog/how-to-explain-tech-layoff-in-interviews-2026)[🤖 AI Skills

## LLM Guardrails for Production: A 2026 Guide to Safety Layers That Actually Work

Prompt injection ranks #1 on the OWASP LLM Top 10 for a reason — production AI systems still leak data, get jailbroken, and hallucinate convincingly. Here's the layered guardrail architecture that works in 2026: where to use NeMo Guardrails, Guardrails AI, LLM Guard, and built-in provider moderation, what each catches, and how to budget the latency.

Jun 14, 202612 min read

](https://jobsbyculture.com/blog/llm-guardrails-production-guide-2026)[📈 Industry Trends

## 60+ Promotion Announcement Messages for LinkedIn, Email & Slack (2026)

60+ promotion announcement messages you can copy and adapt — for LinkedIn, email, Slack, or in-person. Sorted by audience (team, network, manager, family) and tone (humble, confident, grateful). Plus what NOT to write.

Jun 14, 202612 min read

](https://jobsbyculture.com/blog/promotion-announcement-messages)[🏢 Company Insights

## Ramp Glassdoor Reviews Decoded 2026: What 176 Employees Really Say

Ramp's real Glassdoor rating in 2026 — 4.2/5 across 176 reviews. What employees love, what they warn about, how it compares, and who should apply.

Jun 14, 20269 min read

](https://jobsbyculture.com/blog/ramp-glassdoor-reviews-2026)[🏢 Company Insights

## Scale AI Glassdoor Reviews Decoded 2026: What 411 Employees Really Say

Scale AI's real Glassdoor rating in 2026 — 3.6/5 across 411 reviews (Career Opportunities 3.8, Culture & Values 3.1, Work-Life Balance 2.9). What employees love, what they warn about, how it compares, and who should apply.

Jun 14, 20269 min read

](https://jobsbyculture.com/blog/scale-glassdoor-reviews-2026)[📈 Industry Trends

## The Engineering Hiring Debrief Playbook (2026): How to Run a 45-Minute Meeting That Actually Decides

Most engineering hiring debriefs are 90 minutes of consensus-seeking that everyone leaves uncertain. Here's the 45-minute structure that produces clear hire/no-hire decisions — scorecard rules, the outlier conversation, and the calibration loop most teams skip.

Jun 13, 202611 min read

](https://jobsbyculture.com/blog/engineering-hiring-debrief-playbook-2026)[📈 Industry Trends

## From Engineering Manager Back to IC in 2026: How to Transition Without Losing Comp or Credibility

A growing number of engineering managers are going back to IC. Here's the honest playbook — when to do it, how to rebuild technical credibility, how to handle the comp conversation, and how not to wreck the team you're leaving.

Jun 13, 202612 min read

](https://jobsbyculture.com/blog/engineering-manager-to-ic-transition-2026)[🤖 AI Skills

## How to Choose an LLM Provider in 2026: A Production Engineer's Framework

Picking between OpenAI, Anthropic, Google, and open-source LLMs isn't a benchmark question — it's a workload question. The 7-axis decision framework production teams actually use to avoid paying 2-5x more than they need to.

Jun 13, 202614 min read

](https://jobsbyculture.com/blog/how-to-choose-llm-provider-2026)[🎉 Workplace Moments

## 30+ Work Anniversary Messages for Yourself: LinkedIn Posts That Don't Feel Cringe (2026)

Copy-paste-ready work anniversary messages to post about yourself on LinkedIn or in a team Slack — 30+ versions for 1-year, 5-year, 10-year, and milestone anniversaries. Grateful without being humble-braggy.

Jun 13, 20268 min read

](https://jobsbyculture.com/blog/work-anniversary-messages-for-yourself)[📈 Industry Trends

## How to Quit Your Tech Job Without Burning Bridges (2026 Playbook)

Resigning from a tech job in 2026 — when to give notice, how to write the resignation letter, what to say in the exit conversation, and the 4-week handoff that keeps your reputation intact.

Jun 12, 20269 min read

](https://jobsbyculture.com/blog/how-to-quit-tech-job-without-burning-bridges-2026)[📈 Industry Trends

## 60 Graduation Congratulations Messages for a Coworker (2026)

60 graduation congratulations messages for a coworker in 2026 — heartfelt, funny, formal, short. Copy-paste ready for cards, Slack, LinkedIn, and group send-offs.

Jun 11, 20269 min read

](https://jobsbyculture.com/blog/graduation-congratulations-messages-for-coworker)[🏢 Company Insights

## Individual Contributor vs Management Track in 2026: The Honest Career Decision

Should you stay an individual contributor or move into management? A 2026 decision framework — 6 questions, the 5-year reality of each track, when to switch, and what most engineers get wrong.

Jun 11, 202612 min read

](https://jobsbyculture.com/blog/individual-contributor-vs-management-track-2026)[📈 Industry Trends

## Multi-Agent AI Systems in 2026: When to Use Them (and When Not To)

Most agent problems don't need multi-agent — a single agent with good tools wins on cost, latency, and reliability. The exceptions: parallel research, safety boundaries, multi-model workflows. Full framework comparison (LangGraph, CrewAI, AutoGen, OpenAI Agents SDK).

Jun 11, 202614 min read

](https://jobsbyculture.com/blog/multi-agent-systems-guide-2026)[📈 Industry Trends

## Engineering Technical Screen Design 2026: 60 Minutes, Real-Engineering Problem, 35–50% Pass Rate

A great engineering technical screen is 45–60 minutes, uses a real-engineering problem (not memorized algorithms), allows the AI tools your team uses, is graded against a 4-dimension rubric, and is calibrated to a 35–50% pass rate. Anything else is filtering out the candidates you wanted.

Jun 11, 202613 min read

](https://jobsbyculture.com/blog/technical-screen-design-engineers-2026)[📈 Industry Trends

## How to Design an Engineering Interview Loop That Actually Predicts Performance (2026)

Most engineering interview loops measure leetcode aptitude, not job performance. Here's how to design a 4-stage loop that predicts on-the-job success — with the structure, the rubrics, and the calibration step almost everyone skips.

Jun 10, 202612 min read

](https://jobsbyculture.com/blog/engineering-interview-loop-design-2026)[📈 Industry Trends

## 60 Holiday Messages for Coworkers (Copy-Paste, Inclusive, by Relationship)

60 copy-paste-ready holiday messages for coworkers — organized by relationship (close coworker, boss, whole team, remote teammate). Inclusive defaults like 'Happy Holidays' and 'Season's Greetings' work for everyone; holiday-specific options for Christmas, Hanukkah, Diwali, Eid, Lunar New Year. Personalize the \[bracketed\] bits and send.

Jun 10, 20268 min read

](https://jobsbyculture.com/blog/holiday-messages-for-coworkers)[🤖 AI Skills

## LLM Cost Optimization in Production (2026): The Practical Guide for Engineers

Most LLM bills are 5-10x larger than they need to be. Here's the practical 2026 playbook for cutting cost without losing quality — caching, routing, model selection, batching, eval-driven downgrades, and the patterns that actually work.

Jun 10, 202614 min read

](https://jobsbyculture.com/blog/llm-cost-optimization-guide-2026)[🏢 Company Insights

## Startups vs Big Tech in 2026: The Real Trade-Off for Engineers

Startups vs Big Tech for engineers in 2026: at the senior level, total comp is roughly the same — what changes is risk shape, learning rate, and how visible your work is. Here's the honest framework.

Jun 10, 202610 min read

](https://jobsbyculture.com/blog/startups-vs-big-tech-engineer-2026)[📈 Industry Trends

## Context Engineering: The 4-Layer Stack That Replaced Prompt Engineering (2026)

Context engineering is designing what an LLM sees on every inference call — system prompt, retrieved docs, conversation summary, tool outputs, and long-term memory. Here's the 4-layer stack production agents converged on in 2026 and how to build it.

Jun 9, 202613 min read

](https://jobsbyculture.com/blog/context-engineering-guide-2026)[📈 Industry Trends

## How to Ask for a Promotion as a Software Engineer in 2026 (Without Looking Pushy)

A direct script for asking for a promotion in 2026, plus the 3-section promotion packet, the written artifacts the committee actually reads, and what's changed now that AI tools have raised the bar.

Jun 9, 202611 min read

](https://jobsbyculture.com/blog/how-to-ask-for-promotion-engineer-2026)[📈 Industry Trends

## How to Design an Engineering Interview in 2026: What to Test Now That AI Writes Code

Google, DoorDash, Canva, and Sierra have rewritten their engineering interview loops to assume AI use. Here's the new loop, what each round should actually test, and the scoring signals that matter when anyone can ship a Conway's Game of Life in 90 seconds.

Jun 9, 202612 min read

](https://jobsbyculture.com/blog/how-to-design-engineering-interview-2026)[📈 Industry Trends

## 120+ New Baby Congratulations Messages for a Coworker (2026)

120+ heartfelt, funny, and professional new baby congratulations messages for a coworker — organized by tone, relationship, and card type. Copy-paste ready for the group card.

Jun 9, 202610 min read

](https://jobsbyculture.com/blog/new-baby-congratulations-messages-for-coworker)[🤖 AI Skills

## AI Agent Security Guide 2026: Prompt Injection, Tool Poisoning & OWASP Top 10 for Agents

The 2026 guide to AI agent security — OWASP Top 10 for agentic apps, prompt injection, tool poisoning, memory attacks, and the defense patterns production teams actually use.

Jun 8, 202614 min read

](https://jobsbyculture.com/blog/ai-agent-security-guide-2026)[🤖 AI Skills

## Career Pivot to AI Engineer in 2026: 6-Month Plan for Software Engineers

The 6-month pivot from software engineer to AI engineer in 2026 — the real skill gap (RAG, agents, evals, MCP), the portfolio projects that get callbacks, and the offer benchmarks.

Jun 8, 202612 min read

](https://jobsbyculture.com/blog/career-pivot-to-ai-engineer-2026)[📈 Industry Trends

## Engineering Onboarding Best Practices 2026: Time-to-First-PR, Buddy Systems & 30/60/90 Plans

The 2026 guide to engineering onboarding — time-to-first-PR benchmarks, the 30/60/90 framework, buddy systems with 25% faster ramp, and the playbook for engineering leaders.

Jun 8, 202611 min read

](https://jobsbyculture.com/blog/engineering-onboarding-best-practices-2026)[📈 Industry Trends

## 60 Good Luck Messages for a New Job (2026)

60 good luck messages for someone starting a new job in 2026 — heartfelt, funny, formal, short. Copy-paste ready for cards, Slack, LinkedIn, and goodbye notes.

Jun 8, 20269 min read

](https://jobsbyculture.com/blog/good-luck-messages-for-new-job-2026)[📈 Industry Trends

## AI Coding Agents Compared in 2026: Claude Code, Cursor, Windsurf, Cline, Aider, Devin

A working engineer's comparison of the AI coding agents that actually matter in 2026 — Claude Code, Cursor, Windsurf, Cline, Aider, Devin, Codex. When to use which, pricing, and what each one is genuinely good at.

Jun 7, 202614 min read

](https://jobsbyculture.com/blog/ai-coding-agents-compared-2026)[📈 Industry Trends

## 30+ Kudos Messages for Coworkers That Don't Sound Like a Slack Reaction (2026)

30+ copy-paste-ready kudos messages organized by moment — for shipping a feature, owning an outage, picking up the slack, mentoring a junior, and the quiet wins nobody notices. Specific, not corporate.

Jun 7, 20269 min read

](https://jobsbyculture.com/blog/kudos-messages-for-coworker)[📈 Industry Trends

## Overcoming Imposter Syndrome as an Engineer in 2026 (AI Era Edition)

Imposter syndrome is hitting engineers harder in the AI era — 51% use AI tools daily, half mistrust them, and almost no one talks about it. A practical, research-backed guide to working through it.

Jun 7, 202612 min read

](https://jobsbyculture.com/blog/overcoming-imposter-syndrome-engineers-2026)[📈 Industry Trends

## How to Write Engineering Rejection Emails That Don't Burn Your Pipeline (2026)

53% of candidates were ghosted last year. Engineering rejection emails are the most damaging communication you send — done well, they bring candidates back. Templates, timing, and what actually moves the needle.

Jun 7, 202610 min read

](https://jobsbyculture.com/blog/writing-engineering-rejection-emails-2026)[🎉 Workplace Moments

## 76 Birthday Wishes for Your Boss (Copy-Paste, All Tones)

76 copy-paste birthday wishes for your boss, sorted by tone: formal (safe), heartfelt (close manager), office-safe funny, short one-liners, from-the-whole-team group card lines, milestone birthdays, and remote-manager posts. Pick one in 30 seconds.

Jun 6, 20267 min read

](https://jobsbyculture.com/blog/birthday-wishes-for-boss)[📈 Industry Trends

## AI Evals Engineer: The Career Guide for 2026's Hottest New Discipline

AI evals engineering went from

Jun 6, 202612 min read

](https://jobsbyculture.com/blog/ai-evals-engineer-career-guide-2026)[🎯 Talent & Hiring

## How to Write a Cold Recruiter Email to an Engineer in 2026 (8 Templates That Got Replies)

Eight cold recruiter email templates that engineers actually replied to in 2026 — what worked, what didn't, the subject lines that got opens, and the structural rules behind a 40%+ reply rate.

Jun 6, 202611 min read

](https://jobsbyculture.com/blog/cold-recruiter-email-to-engineer-templates-2026)[🎉 Workplace Moments

## 75 Farewell Wishes for a Coworker, Boss, or Friend Leaving (2026)

75 sincere farewell wishes for a coworker, boss, or friend starting their next chapter. Forward-looking blessings — for new jobs, retirement, and life moves. Free to copy.

Jun 6, 20268 min read

](https://jobsbyculture.com/blog/farewell-wishes)[📈 Industry Trends

## 9 Signs You've Outgrown Your Engineering Job in 2026 (And What To Do About It)

Nine concrete signs you've outgrown your engineering job — code reviews you could write in your sleep, no new mental models in 6 months, manager out of their depth — and a 30-day plan to decide whether to grow in place or move.

Jun 6, 20269 min read

](https://jobsbyculture.com/blog/signs-you-outgrew-your-engineering-job-2026)[🤖 AI Skills

## AI Agent Memory Systems: A 2026 Engineering Guide (Letta, LangMem, Mem0, Zep)

A practical 2026 guide to memory for AI agents — working, episodic, semantic, and procedural memory; OS-style tiering (Letta/MemGPT), LangMem, Mem0, Zep; cost, latency, and when to use what.

Jun 5, 202611 min read

](https://jobsbyculture.com/blog/ai-agent-memory-systems-guide-2026)[📈 Industry Trends

## Bereavement Leave Email Templates (30+ Copy-Paste Examples for 2026)

30+ bereavement leave email templates for telling your boss, team, and HR — for parent loss, sibling, spouse, child, friend, and pet — plus return-to-work and OOO messages. Short, medium, and longer versions.

Jun 5, 20268 min read

](https://jobsbyculture.com/blog/bereavement-leave-email-templates-2026)[📈 Industry Trends

## Returning to Tech After a Career Break in 2026 (Layoff, Sabbatical, Caregiving)

A practical re-entry plan for engineers returning to tech after a layoff, sabbatical, or caregiving break in 2026 — what employers actually screen for, how to talk about the gap, and the 90-day rebuild.

Jun 5, 20269 min read

](https://jobsbyculture.com/blog/career-break-re-entry-2026)[🏢 Company Insights

## Take-Home vs Live Coding in 2026: Which Engineering Assessment Wins?

71% of engineering leaders say AI makes coding skills harder to assess in 2026. We break down where take-home projects, live pair-programming, and hybrid loops actually find better developers — with real hiring data.

Jun 5, 202610 min read

](https://jobsbyculture.com/blog/take-home-vs-live-coding-2026)[🤖 AI Skills

## 8 AI Engineer Portfolio Projects That Actually Get You Hired in 2026

The 8 AI engineer portfolio projects hiring managers actually scan for in 2026 — production RAG, eval pipelines, agents that ship, fine-tunes that work. With the stack to use and the trap to avoid for each.

Jun 4, 202611 min read

](https://jobsbyculture.com/blog/ai-engineer-portfolio-projects-2026)[📈 Industry Trends

## How to Increase Engineer Offer Acceptance Rates in 2026 (Honest Playbook)

Engineers accept 70-80% of offers on average — but the top quartile of teams hit 92%+. The honest playbook: pay transparency in the JD, 48-hour decisions, and the candidate-experience moves that close more hires in 2026.

Jun 4, 202610 min read

](https://jobsbyculture.com/blog/increase-offer-acceptance-rate-engineers-2026)[📈 Industry Trends

## 60+ Out of Office Message Examples for Work (Copy & Paste)

60+ out of office message examples for work — vacation, parental leave, sick day, conference, training, sabbatical, and permanent leave. Copy and paste any template, swap in your details, and set.

Jun 4, 20266 min read

](https://jobsbyculture.com/blog/out-of-office-message-examples-for-work)[📈 Industry Trends

## When to Leave a Job: 12 Signals It's Time to Move On in 2026

The honest signals it's time to leave your job in 2026 — comp stalled, manager you don't trust, no learning, broken WLB. Plus the 'stay 6 more months' test and how to move without burning out.

Jun 4, 20269 min read

](https://jobsbyculture.com/blog/when-to-leave-a-job-2026)[📈 Industry Trends

## AI Cost Optimization Guide 2026: How to Cut Your LLM Bill 60-90% Without Hurting Quality

AI bills are the new cloud bills — and most teams overpay by 60-90%. The 2026 playbook for cutting LLM inference costs: model routing, caching, batching, fine-tuning vs. prompting, and the metrics that actually matter.

Jun 3, 202610 min read

](https://jobsbyculture.com/blog/ai-cost-optimization-guide-2026)[📈 Industry Trends

## 60+ Paternity Leave Messages for a Coworker (Heartfelt, Professional, Funny)

60+ copy-paste paternity leave messages for a coworker — warm, professional, funny, and from-the-team options. Plus how to write your own, what to avoid, and what to say when you don't know the family well.

Jun 3, 20267 min read

](https://jobsbyculture.com/blog/paternity-leave-messages-for-coworker)[📈 Industry Trends

## Should You Take the Counter Offer? A 2026 Decision Framework (And Why 80% Regret It)

Should you take a counter offer in 2026? The short answer: usually no. We break down the data, the hidden costs, and the rare cases where staying actually makes sense — with a 7-question framework.

Jun 3, 20268 min read

](https://jobsbyculture.com/blog/should-you-take-counter-offer-2026)[📈 Industry Trends

## Why Engineers Reject Job Offers in 2026: It's Almost Never Just the Money

Most companies treat a rejected offer as a salary problem. The data says it's usually not. Here's what engineers actually weigh, the seven most common rejection reasons in 2026, and the fixes that move offer acceptance rates by 10-25 points.

Jun 3, 20269 min read

](https://jobsbyculture.com/blog/why-engineers-reject-job-offers-2026)[📈 Industry Trends

## Becoming an AI Research Engineer in 2026: Skills, Salary, and the Honest Path

AI Research Engineer is the highest-leverage technical role at frontier labs in 2026. Comp ranges $350k-$900k+. Here's the honest path — including the parts most guides skip — to becoming one.

Jun 2, 202614 min read

](https://jobsbyculture.com/blog/becoming-ai-research-engineer-2026)[🏢 Company Insights

## Engineering Manager vs Staff Engineer in 2026: How to Choose Your Track

EM vs Staff Engineer: same comp band ($350k-$550k+), opposite jobs. Use this 7-question framework — based on culture data from 118 companies — to pick the track you'll actually thrive in.

Jun 2, 202611 min read

](https://jobsbyculture.com/blog/engineering-manager-vs-staff-engineer-2026)[📈 Industry Trends

## How to Retain Senior Engineers in 2026: 9 Strategies That Actually Work

Top-of-market comp isn't enough in 2026. The senior engineers leaving your company are leaving for reasons you can fix — manager quality, scope decay, AI fatigue. Here's the playbook, backed by 118 companies' employee data.

Jun 2, 202613 min read

](https://jobsbyculture.com/blog/how-to-retain-senior-engineers-2026)[📈 Industry Trends

## New Job Congratulations Messages: 60 Heartfelt Examples for Every Relationship

60 ready-to-use new job congratulations messages — short, heartfelt, funny, professional, and ones for the people closest to you. Find the perfect words to send when someone you care about lands their next role.

Jun 2, 20269 min read

](https://jobsbyculture.com/blog/new-job-congratulations-messages)[📈 Industry Trends

## Best AI Tools for Accounting in 2026: 8 Picks by Workflow

Best AI accounting tools in 2026, picked by workflow: Vic.ai (AP), AppZen (expense audit), MindBridge (audit risk), Pilot & Docyt (bookkeeping), Klippa (statement extraction), Ramp & Brex (AI-baked spend). Independent picks. No affiliate.

Jun 2, 202612 min read

](https://jobsbyculture.com/blog/ai-tools-accounting-2026)[🎤 Interview Prep

## Replit Interview Prep 2026: Project Day, Onsite Loop & What to Expect

Replit's interview process is built around a 'Project Day' — a one-day mini-build where you scope, ship, and present a working feature. Here's the full loop, the questions actually being asked in 2026, and how to prepare without overengineering.

Jun 1, 20268 min read

](https://jobsbyculture.com/blog/replit-interview-prep-2026)[🤖 AI Skills

## 50+ AI Engineer Interview Questions in 2026 (Real Questions, Honest Answers)

50+ AI engineer interview questions actually being asked in 2026 — RAG, evals, agents, LLM internals, system design, and behavioral. Real questions from frontier labs and applied AI teams, with the answers strong candidates are giving.

Jun 1, 202611 min read

](https://jobsbyculture.com/blog/ai-engineer-interview-questions-2026)[📈 Industry Trends

## Engineering Retention Strategies That Actually Work in 2026 (Honest Playbook)

Software engineer turnover hit 23% in 2026 and replacement costs run $180K-$240K per engineer. The 5 retention strategies that actually work, the 3 that don't, and what to measure — based on patterns across 118 engineering cultures.

Jun 1, 202610 min read

](https://jobsbyculture.com/blog/engineering-retention-strategies-2026)[📈 Industry Trends

## Senior Engineer to Engineering Manager (2026): When to Make the Jump

Most senior engineers who switch to engineering management do it 12-18 months too early. A framework for deciding when the move actually serves your career — with comp math, the 5 signals you're ready, the 3 signals you're not, and a script for testing the role first.

Jun 1, 20269 min read

](https://jobsbyculture.com/blog/senior-engineer-to-engineering-manager-2026)[📈 Industry Trends

## 100+ Engagement Congratulations for a Coworker (Sweet, Witty & Professional)

100+ engagement congratulations messages for a coworker — heartfelt, witty, and professional. Copy and paste for a group card, Slack message, or office gift tag. Tips for tone, length, and what to avoid.

May 31, 20267 min read

](https://jobsbyculture.com/blog/engagement-congratulations-for-coworker)[🚀 Career Growth

## Founding Engineer Career Path 2026: Equity, Scope, Risk & Reality

A practical guide to the founding engineer career path in 2026 — what the role actually involves, equity ranges that are reasonable to ask for, when it makes sense (and when it doesn't), and how to evaluate the founders you'd be betting on.

May 31, 202612 min read

](https://jobsbyculture.com/blog/founding-engineer-career-path-2026)[💰 Compensation

## Hugging Face Compensation in 2026: Salaries, Equity & The Mission Discount

What Hugging Face actually pays engineers in 2026: SWE total comp $150K–$235K, ML engineer ranges, the deliberate below-FAANG philosophy, equity in a $4.5B AI infrastructure company, and how remote-first changes the math.

May 31, 20268 min read

](https://jobsbyculture.com/blog/huggingface-compensation-2026)[🎤 Interview Prep

## Mercury Interview Prep 2026: Haskell, Type Systems & the Craft Round

Inside Mercury's 2026 engineer interview process — the SQL review round, 3-hour take-home, banking system design, and the distinctive Craft/Type-System round. What to expect, how to prep, and how Mercury's Haskell-heavy stack shapes the loop.

May 31, 202610 min read

](https://jobsbyculture.com/blog/mercury-interview-prep-2026)[📈 Industry Trends

## How to Source Senior Engineers in 2026: A Tactical Playbook for Founders & Heads of Engineering

A practical playbook for sourcing senior engineers in 2026 — outbound that doesn't get ghosted, networks and referrals at scale, building a credible candidate magnet, and what to actually say in first messages. With templates.

May 31, 202610 min read

](https://jobsbyculture.com/blog/sourcing-senior-engineers-2026)[📈 Industry Trends

## The Two-Speed Tech Hiring Market in 2026: AI vs Everything Else

The 2026 tech hiring market is split clean in two. AI engineering postings are up 163%, frontier-lab packages reach $1M+, and FAANG floors hit $450K — while general SWE roles sit flat. The numbers, the segmentation, and what it means for engineers.

May 31, 20269 min read

](https://jobsbyculture.com/blog/two-speed-tech-hiring-market-2026)[🤖 AI Skills

## Voice AI Engineering Guide 2026: Real-Time Speech, Latency Targets & Architecture

A practical guide to building voice AI applications in 2026 — provider comparison (Cartesia, ElevenLabs, OpenAI Realtime), end-to-end vs cascaded architectures, latency budgets, barge-in handling, and the engineering patterns that actually work in production.

May 31, 202611 min read

](https://jobsbyculture.com/blog/voice-ai-engineering-guide-2026)[🏢 Company Insights

## Working at Wayve in 2026: $8.6B AV2.0 Bet, London Robotaxis & Culture

Inside Wayve in 2026: 850 employees, $1.2B Series D, 4.4 Glassdoor rating, the AV2.0 thesis, London robotaxi launch with Uber, and what engineers actually say about the most-funded AV startup in Europe.

May 31, 20269 min read

](https://jobsbyculture.com/blog/working-at-wayve-2026)[📈 Industry Trends

## Forward Deployed Engineer: The Fastest-Growing AI Role in 2026

Forward Deployed Engineers scope, build, and ship AI systems end-to-end inside customer environments — with full outcome accountability. It pays mid to high six figures. Hundreds of open FDE roles are live right now across dozens of AI companies. Here's who's hiring and what the role really requires.

May 30, 202611 min read

](https://jobsbyculture.com/blog/forward-deployed-engineer-boom-2026)[🏢 Company Insights

## Working at Writer in 2026: Palmyra LLMs, $1.9B Valuation & Culture

Working at Writer in 2026: ~400 employees, $1.9B valuation, in-house Palmyra LLMs, 3.5 Glassdoor, and what it's actually like inside the enterprise AI platform powering Salesforce, Uber, and Vanguard.

May 30, 20269 min read

](https://jobsbyculture.com/blog/working-at-writer-2026)[💰 Compensation

## Glean Salary 2026: $194K–$401K TC, Series F Equity & How It Compares

Glean compensation in 2026: $194K-$401K total comp for engineers, with Series F RSUs at a $7.2B valuation. Real comp data by level, RSU vesting, benefits, and how it compares to Google, Databricks, Notion, and OpenAI.

May 30, 202610 min read

](https://jobsbyculture.com/blog/glean-compensation-2026)[🎤 Interview Prep

## Brex Interview Prep 2026: 5 Rounds, Real Code & What to Expect

Complete Brex software engineer interview guide for 2026: 5-round process, practical coding (build/debug services), financial system design, values interview, and how the AI-spend-management unicorn evaluates engineers.

May 30, 20269 min read

](https://jobsbyculture.com/blog/brex-interview-prep-2026)[📈 Industry Trends

## 40 Going-Away Party Speeches & Toasts for a Coworker (Heartfelt, Funny, Short)

40 going-away party speeches, toasts, and farewell speech messages for a coworker leaving. Heartfelt, funny, and short options for any tone — plus tips for delivering a memorable farewell speech without crying.

May 30, 20267 min read

](https://jobsbyculture.com/blog/going-away-party-speeches-for-coworker)[🎯 Talent & Hiring

## How to Hire Forward Deployed Engineers in 2026: A Hiring Playbook for AI Companies

A practical playbook for hiring Forward Deployed Engineers in 2026. Sourcing, screening, interview loop design, comp benchmarks ($300K-$600K+), and how to compete with Palantir, OpenAI, and Anthropic for the scarcest role in AI.

May 30, 202610 min read

](https://jobsbyculture.com/blog/how-to-hire-forward-deployed-engineers-2026)[🚀 Career Growth

## How to Negotiate a Senior Engineer Offer in 2026: A Tactical Playbook

A tactical playbook for senior engineers negotiating offers in 2026. What to push on, what to leave alone, how to use competing offers, and the specific levers that move $50K-$150K of total comp at the L5/staff level.

May 30, 202610 min read

](https://jobsbyculture.com/blog/how-to-negotiate-senior-engineer-offer-2026)[📈 Industry Trends

## What Is the Model Context Protocol (MCP)? The 2026 Engineer's Guide

MCP is the open standard that lets any LLM (Claude, ChatGPT, Gemini, Cursor) connect to any external tool, data source, or system through one client-server protocol. Adopted by every major lab, 97M SDK downloads/month, 10K+ public servers. Here's how it works.

May 30, 202612 min read

](https://jobsbyculture.com/blog/model-context-protocol-mcp-guide-2026)[📈 Industry Trends

## AI Function Calling & Tool Use: The Complete Guide for 2026

Master AI function calling and tool use across OpenAI, Anthropic Claude, and Google Gemini. Practical guide with code examples, MCP protocol, and production patterns for building AI agents.

May 29, 202614 min read

](https://jobsbyculture.com/blog/ai-function-calling-tool-use-guide-2026)[📈 Industry Trends

## How to Compete with FAANG for Engineering Talent in 2026

Practical strategies for startups and mid-stage companies to win top engineers away from Google, Meta, and Amazon. Compensation, culture, speed, and equity playbooks that actually work.

May 29, 202612 min read

](https://jobsbyculture.com/blog/competing-with-faang-for-engineering-talent)[💰 Compensation

## CoreWeave Salary 2026: $195K–$643K TC, Post-IPO Equity & Levels

CoreWeave compensation in 2026: $195K-$643K total comp by level, CRWV stock post-IPO (up 200%+), hardware engineer pay ($427K-$606K), and how GPU cloud infrastructure salaries compare to other AI companies.

May 29, 20268 min read

](https://jobsbyculture.com/blog/coreweave-compensation-2026)[📈 Industry Trends

## Defense Tech Hiring Boom 2026: Anduril, Palantir & the $49B Talent War

Defense tech startups raised $49B in 2025. Anduril has 6,200+ employees. Engineers are leaving FAANG for 40-100% pay premiums. Inside the biggest hiring shift since the Cold War.

May 29, 20269 min read

](https://jobsbyculture.com/blog/defense-tech-hiring-boom-2026)[🎤 Interview Prep

## Glean Interview Prep 2026: Process, Questions & What to Expect

Complete Glean interview guide for 2026: 4-round process, real coding questions, system design prompts, AI fluency exercises, and what the $7.2B enterprise AI company actually looks for.

May 29, 20269 min read

](https://jobsbyculture.com/blog/glean-interview-prep-2026)[🚀 Career Growth

## The Principal Engineer Career Path: How to Get There in 2026

How to reach principal engineer: the career ladder from senior to staff to principal, what the role actually involves, compensation ($350K-$850K+ TC), and what separates the engineers who make it from those who don't.

May 29, 202613 min read

](https://jobsbyculture.com/blog/principal-engineer-career-path-2026)[📈 Industry Trends

## 100+ Welcome Back Messages for a Coworker (Warm, Funny & Professional)

100+ welcome back messages for a coworker returning from leave, vacation, or time away. Warm, funny, and professional — copy and paste into a card or Slack.

May 29, 202616 min read

](https://jobsbyculture.com/blog/welcome-back-messages-for-coworker)[🏢 Company Insights

## Figure AI in 2026: 619 Employees, $39B Valuation, Salary & Culture

Working at Figure AI in 2026: 619 employees, $39B valuation, 3.5 Glassdoor rating, humanoid robotics culture, and what building the world's first commercial humanoid robot is actually like.

May 29, 20269 min read

](https://jobsbyculture.com/blog/working-at-figureai-2026)[💰 Compensation

## Twilio Compensation in 2026: Salary, RSUs & Total Comp by Level

Twilio engineer compensation in 2026: $149K-$522K+ total comp across 6 levels, quarterly RSU vesting, remote-first pay, and how it compares after 4 rounds of layoffs.

May 28, 20268 min read

](https://jobsbyculture.com/blog/twilio-compensation-2026)[🎤 Interview Prep

## How to Prepare for a Snowflake Interview in 2026

Complete guide to Snowflake's interview process in 2026: 4-stage process, dynamic programming and SQL coding rounds, data warehouse system design, ownership behavioral questions, and compensation data.

May 28, 202616 min read

](https://jobsbyculture.com/blog/snowflake-interview-prep-2026)[🤖 AI Skills

## AI Agent Orchestration Patterns: How to Build Multi-Agent Systems That Actually Work (2026)

Six production-proven AI agent orchestration patterns for 2026: sequential chains, parallel fan-out, supervisor/worker, hierarchical delegation, consensus/debate, and human-in-the-loop. With failure modes, real examples, and framework guidance.

May 28, 202612 min read

](https://jobsbyculture.com/blog/ai-agent-orchestration-patterns-2026)[📈 Industry Trends

## Your First Engineering Management Role: A Survival Guide for 2026

You landed your first engineering manager role. Now what? A practical survival guide covering the identity shift, first-90-days mistakes, effective 1:1s, delegation, performance reviews, and when going back to IC is the right call.

May 28, 202614 min read

](https://jobsbyculture.com/blog/navigating-first-engineering-management-role-2026)[📈 Industry Trends

## 100+ Recognition Messages for Employees That Actually Mean Something (2026)

100+ copy-paste-ready employee recognition messages organized by category — general recognition, performance milestones, teamwork, leadership, creativity, years of service, and more.

May 28, 202615 min read

](https://jobsbyculture.com/blog/recognition-messages-for-employees)[📈 Industry Trends

## The Engineering Retention Playbook: Why Your Best Engineers Leave (and How to Keep Them)

Your best engineers are evaluating their options right now. Here's the data on why they leave — and the concrete playbook to keep them, from comp benchmarking to culture transparency.

May 28, 202612 min read

](https://jobsbyculture.com/blog/retention-playbook-engineering-teams-2026)[📈 Industry Trends

## The Two-Track Tech Job Market: Where 142K Layoffs and 537K Openings Coexist

142,985 tech layoffs in 2026 alongside 537,000+ active openings. The data reveals a market split by skill, seniority, and domain — not a simple boom or bust.

May 28, 20269 min read

](https://jobsbyculture.com/blog/two-track-tech-job-market-2026)[🏢 Company Insights

## Working at Fireworks AI in 2026: The Ex-Meta Team Powering LLM Inference

Inside Fireworks AI in 2026: $4B valuation, 189 employees, ex-Meta PyTorch founders, $315M ARR, and what it's like working on the inference platform behind Cursor and Perplexity.

May 28, 20269 min read

](https://jobsbyculture.com/blog/working-at-fireworksai-2026)[🤖 AI Skills

## LLM Inference Optimization: The 5 Techniques That Cut Cost 5-10x and Latency 3-5x (2026)

The five inference techniques that separate production LLM systems from expensive demos: KV cache optimization, quantization, speculative decoding, Flash Attention, and continuous batching. Cuts cost 5-10x and latency 3-5x. Reach-for guide with when-to-use rules of thumb.

May 26, 202614 min read

](https://jobsbyculture.com/blog/llm-inference-optimization-guide-2026)[💰 Compensation

## Mistral AI Compensation in 2026: Salary, Equity & Total Comp Breakdown

Mistral AI compensation breakdown for 2026: engineer salaries from €80k-€200k, BSPCE equity at $13.7B valuation, research scientist comp up to $950k, and how Paris pay compares to US AI labs.

May 26, 20268 min read

](https://jobsbyculture.com/blog/mistral-compensation-2026)[🏢 Company Insights

## Celonis in 2026: 3,800 Employees, $13B Valuation, Salary & Culture

Working at Celonis in 2026: 3,800 employees, $13B valuation, 3.8 Glassdoor rating, process mining leader, and what the Munich-born engineering culture is really like inside the company.

May 26, 20269 min read

](https://jobsbyculture.com/blog/working-at-celonis-2026)[📈 Industry Trends

## How to Avoid Burnout at High-Growth AI Startups (2026 Guide)

A practical guide to surviving and thriving at high-growth AI startups without burning out — recognizing the warning signs, setting boundaries that actually stick, and knowing when to leave.

May 26, 2026

](https://jobsbyculture.com/blog/avoiding-burnout-ai-startups-2026)[🎉 Workplace Moments

## 100+ Get Well Soon Messages for a Coworker (2026)

100+ copy-paste-ready get well soon messages for a coworker — organized by tone: heartfelt, professional, funny, short, close friend, manager, and remote. Find the right words fast.

May 26, 202612 min read

](https://jobsbyculture.com/blog/get-well-soon-messages-for-coworker)[📈 Industry Trends

## The Return-to-Office Battle in 2026: Who's Winning, and What the Data Actually Shows

Amazon is 5-day, Shopify is fully remote, and the job market has made its verdict: 77% of postings are fully on-site but only 4% are fully remote. Here's who's winning the RTO battle — and what it means for your career.

May 26, 202613 min read

](https://jobsbyculture.com/blog/return-to-office-battle-2026)[🎯 Talent & Hiring

## Why Engineers Ghost Your Recruiter Emails (And How to Fix It)

Engineers ignore 97% of recruiter outreach. Our research across 118 companies reveals exactly why — and the specific fixes that 3x response rates without spending more time.

May 26, 202611 min read

](https://jobsbyculture.com/blog/why-engineers-ghost-recruiter-emails-2026)[🎤 Interview Prep

## Mistral AI Interview Prep 2026: Process, Questions & What to Expect

Complete Mistral AI interview prep guide for 2026: the unique LLM knowledge quiz, transformer implementation rounds, RAG system design, take-home project, and what candidates actually experience.

May 26, 202614 min read

](https://jobsbyculture.com/blog/mistral-interview-prep-2026)[🤖 AI Skills

## AI Agent Evaluation Guide 2026: How to Test, Benchmark & Monitor LLM Agents in Production

A practical framework for evaluating AI agents in production: trajectory scoring, LLM-as-judge calibration, cost-per-task tracking, regression pipelines, and the tools ML engineers actually use in 2026.

May 25, 202612 min read

](https://jobsbyculture.com/blog/ai-agent-evaluation-guide-2026)[📈 Industry Trends

## Amazon Interview Questions 2026: Behavioral, Technical & Leadership Principles (With Answers)

Complete Amazon interview guide for 2026: 30 real questions with answers across behavioral (Leadership Principles), technical, and system design rounds. Includes the Bar Raiser process, STAR method examples, and tips by role.

May 25, 202620 min read

](https://jobsbyculture.com/blog/amazon-interview-questions-2026)[📈 Industry Trends

## Amazon Leadership Principles Interview Guide 2026: All 16 Principles with Example Answers

Master all 16 Amazon Leadership Principles for your 2026 interview. STAR-format example answers, what the Bar Raiser looks for, and which principles matter most by role (SDE, PM, TPM).

May 25, 202618 min read

](https://jobsbyculture.com/blog/amazon-leadership-principles-interview-guide-2026)[💰 Compensation

## Amazon SDE Salary 2026: $160K to $900K+ Total Comp by Level (L4-L7)

Amazon SDE total comp in 2026: SDE I (L4) $160K-$220K, SDE II (L5) $230K-$370K, SDE III (L6) $350K-$530K, Principal (L7) $500K-$900K+. Why the 5/15/40/40 RSU vesting makes Years 1-2 lower and Years 3-4 higher than Google and Meta.

May 25, 2026

](https://jobsbyculture.com/blog/amazon-sde-salary-levels-2026)[🎉 Workplace Moments

## 50 Belated Birthday Wishes for a Coworker

50 belated birthday wishes for a coworker — professional, funny, and heartfelt. For your boss, work friend, or colleague. Copy-paste ready messages that make being late feel intentional.

May 25, 202612 min read

](https://jobsbyculture.com/blog/belated-birthday-wishes-for-coworker)[📈 Industry Trends

## Best Tech Companies for Working Parents in 2026: Parental Leave, Flexibility & Culture

Top 15 tech companies for working parents in 2026. Parental leave policies, flex hours, remote work, and family-friendly culture ranked by real employee data.

May 25, 202612 min read

](https://jobsbyculture.com/blog/best-tech-companies-for-parents-2026)[📈 Industry Trends

## Best Tech Company Perks in 2026: Beyond Free Lunch (What Actually Matters)

Best tech company perks and benefits in 2026, ranked by what actually matters. Health, equity, learning budgets, WFH stipends, and sabbaticals at 15 top companies.

May 25, 202611 min read

](https://jobsbyculture.com/blog/best-tech-office-perks-2026)[🎉 Workplace Moments

## 75 Heart-Touching Birthday Wishes for a Teacher

75 heart-touching birthday wishes for a teacher from students, parents, and fellow teachers. Formal, funny, and heartfelt messages for any teacher — male, female, or retired.

May 25, 202614 min read

](https://jobsbyculture.com/blog/birthday-wishes-for-teacher-2026)[📈 Industry Trends

## Building a Career in Developer Tools in 2026: Why DevTools Is Where the Best Engineers Go

The developer tools market hits $7.44B in 2026 with 33 unicorns and 84% AI adoption. Here's why DevTools is the best career path for engineers who love building for other engineers — and how to break in.

May 25, 202611 min read

](https://jobsbyculture.com/blog/building-career-in-devtools-2026)[📈 Industry Trends

## 10 Tech Companies That Hire for Emotional Intelligence Over Raw IQ in 2026

10 tech companies that prioritize emotional intelligence in hiring. Values-based interviews, team fit, and why the best engineering teams optimize for EQ.

May 25, 202610 min read

](https://jobsbyculture.com/blog/companies-that-hire-for-eq-2026)[📈 Industry Trends

## Companies Where Coworkers Actually Become Friends: Team Culture Beyond the Office

10 tech companies where coworkers genuinely become friends. Team retreats, social culture, and how the best companies build bonds that drive retention and performance.

May 25, 202610 min read

](https://jobsbyculture.com/blog/companies-where-coworkers-become-friends-2026)[📈 Industry Trends

## 50 Data Analyst Interview Questions & Answers (2026) — SQL, Python, Statistics & Case Studies

50 data analyst interview questions with detailed answers for 2026. Covers SQL queries, Python/pandas, statistics, A/B testing, business case studies, and behavioral questions with real examples.

May 25, 202622 min read

](https://jobsbyculture.com/blog/data-analyst-interview-questions-2026)[📈 Industry Trends

## 40 Data Engineer Interview Questions & Answers (2026) — ETL, SQL, Pipelines & System Design

40 data engineer interview questions with detailed answers for 2026. Covers SQL, data modeling, ETL/ELT pipelines, Airflow, dbt, Spark, data warehousing, system design, Python, and behavioral rounds.

May 25, 202618 min read

](https://jobsbyculture.com/blog/data-engineer-interview-questions-2026)[📈 Industry Trends

## The Death of Whiteboard Interviews: How Top AI Companies Actually Hire Engineers in 2026

Whiteboard interviews are dying. See how Anthropic, Stripe, Vercel, Linear and other top AI companies actually interview engineers in 2026: take-homes, pair programming, system design, and live coding.

May 25, 202613 min read

](https://jobsbyculture.com/blog/death-of-whiteboard-interviews-2026)[📈 Industry Trends

## Developer Relations Careers 2026: Roles, Salaries & How to Break In

Developer Relations career guide for 2026: Developer Advocate vs DevRel Engineer vs Community Manager. Salary ranges from $120K-$350K+, day-in-the-life breakdown, and how to break into DevRel from engineering or content.

May 25, 202612 min read

](https://jobsbyculture.com/blog/developer-relations-careers-2026)[💰 Compensation

## Duolingo Compensation in 2026: Salary, RSUs, Benefits & What Engineers Actually Earn

Duolingo engineer compensation in 2026: verified total comp by level ($194K–$447K), DUOL RSU vesting, benefits breakdown, and how it compares to FAANG and other edtech companies.

May 25, 202610 min read

](https://jobsbyculture.com/blog/duolingo-compensation-2026)[📈 Industry Trends

## Where to Find Engineering Culture Profiles in 2026: The Complete Guide

The complete guide to finding engineering culture profiles in 2026. How to evaluate company culture, engineering values, and work environment before accepting an offer. Compare 118+ companies by values.

May 25, 202610 min read

](https://jobsbyculture.com/blog/engineering-culture-profiles-alternative-2026)[💰 Compensation

## Engineering Managers Earn $250K–$700K+ in 2026

Engineering managers earn $250K–$600K+ at Big Tech, $300K–$700K+ at AI companies, and $200K–$450K at startups in 2026. Full breakdown by tier, level, IC vs manager pay, and the EM-to-VP track.

May 25, 2026

](https://jobsbyculture.com/blog/engineering-manager-salary-2026)[🎤 Interview Prep

## GitLab Interview Prep 2026: Process, Questions & What to Expect

Complete GitLab interview prep guide for 2026: the merge request review, technical rounds, CREDIT values questions, timeline, and insider tips from candidates who've been through it.

May 25, 202611 min read

](https://jobsbyculture.com/blog/gitlab-interview-prep-2026)[💰 Compensation

## Google Product Manager Salary 2026: L3 to L8 Compensation Breakdown (Base, Bonus, RSUs)

Google product manager salary in 2026: APM (L3) earns $150K-$200K TC, PM (L5) $280K-$420K, Group PM (L6) $380K-$550K, Director (L7) $550K-$800K+. Complete breakdown of base, bonus, RSUs by level.

May 25, 2026

](https://jobsbyculture.com/blog/google-product-manager-salary-2026)[📈 Industry Trends

## Low-Meeting Culture Companies 2026: Where Deep Work Actually Happens

10 tech companies with low-meeting cultures in 2026. Async-first, deep work, and maker schedules that protect engineering productivity. Real data, not marketing.

May 25, 202611 min read

](https://jobsbyculture.com/blog/low-meeting-culture-companies-2026)[📈 Industry Trends

## Maternity Leave Messages for Coworker: 50+ Heartfelt Examples for Cards, Slack & Email

50+ maternity leave messages for coworkers — heartfelt, professional, and funny. Copy-paste ready for cards, Slack, or email. Includes messages from managers, team cards, and welcome back wishes.

May 25, 20268 min read

](https://jobsbyculture.com/blog/maternity-leave-messages-for-coworker)[📈 Industry Trends

## 35 Product Manager Interview Questions & Answers (2026) — Strategy, Execution & Metrics

35 product manager interview questions with detailed answers for 2026. Covers product sense, strategy, execution, metrics, technical depth, behavioral, and estimation questions with frameworks.

May 25, 202619 min read

](https://jobsbyculture.com/blog/product-manager-interview-questions-2026)[📈 Industry Trends

## Psychological Safety at Work: 12 Companies That Actually Practice It (Not Just Talk About It)

12 tech companies with real psychological safety in 2026. Blameless postmortems, safe-to-fail culture, and what Google's Project Aristotle means for your next job.

May 25, 202612 min read

](https://jobsbyculture.com/blog/psychological-safety-at-work-2026)[📈 Industry Trends

## 30 REST API Interview Questions & Answers (2026) — From Basics to System Design

30 REST API interview questions with clear answers for 2026. Covers HTTP methods, status codes, authentication, versioning, pagination, rate limiting, GraphQL vs REST, and API gateway patterns.

May 25, 202616 min read

](https://jobsbyculture.com/blog/rest-api-interview-questions-2026)[📈 Industry Trends

## RTO Mandates in 2026: What the Data Actually Shows About Return-to-Office

A data-driven analysis of return-to-office mandates in 2026: 14% higher turnover, 50-70% smaller candidate pools, and what companies like Amazon, JPMorgan, and Meta are learning the hard way.

May 25, 202611 min read

](https://jobsbyculture.com/blog/rto-mandates-data-2026)[💰 Compensation

## Software Engineer Salary in Dubai & UAE 2026: Tax-Free Pay, Companies & Cost of Living

Software engineer salary in Dubai 2026: AED 8K-60K/month tax-free. Complete breakdown by level, company, and visa type. How Dubai tech pay compares to US, UK, and India after tax and cost of living.

May 25, 2026

](https://jobsbyculture.com/blog/software-engineer-salary-dubai-2026)[💰 Compensation

## Software Engineer Salary in India 2026: By Company, Level & City

Software engineer salary in India 2026: freshers earn ₹4-8L, mid-level ₹10-25L, senior ₹25-50L, staff ₹50L-1Cr+. Complete breakdown by company, city, and level with real compensation data from Google, Microsoft, Amazon, Flipkart, and more.

May 25, 2026

](https://jobsbyculture.com/blog/software-engineer-salary-india-2026)[💰 Compensation

## Solutions Architect Salary 2026: AWS, Azure, GCP — What Top Tech Companies Actually Pay

Solutions architect salary in 2026: AWS SA earns $140K-$280K TC, Azure $135K-$260K, GCP $145K-$290K. Complete breakdown by company, certification, and career path with verified compensation data.

May 25, 2026

](https://jobsbyculture.com/blog/solutions-architect-salary-2026)[📈 Industry Trends

## Startup Equity Decoded 2026: What Your Stock Options Are Actually Worth

ISOs, NSOs, RSUs, 409A valuations, vesting cliffs, 83(b) elections — startup equity explained in plain English. Learn what your stock options are actually worth with real examples from Series A to exit.

May 25, 202614 min read

](https://jobsbyculture.com/blog/startup-equity-decoded-2026)[📈 Industry Trends

## Structured Interviews for Engineering Teams: A Practical Guide to Better Hiring in 2026

Structured interviews are 2x more effective at predicting engineering performance. A practical guide to building standardized questions, scoring rubrics, and calibration sessions for your hiring pipeline.

May 25, 202611 min read

](https://jobsbyculture.com/blog/structured-interviews-engineering-2026)[📈 Industry Trends

## System Design Interview Questions 2026: 20 Common Problems with Approaches & Frameworks

20 system design interview questions with structured approaches for 2026. Covers URL shortener, chat system, news feed, rate limiter, and 16 more problems with key components, data models, and scaling strategies.

May 25, 202620 min read

](https://jobsbyculture.com/blog/system-design-interview-questions-guide-2026)[📈 Industry Trends

## Technical Program Manager (TPM) Career Guide 2026: Role, Skills, Salary & How to Break In

Complete TPM career guide for 2026: what a technical program manager does, skills needed, salary ranges ($120K-$400K+), how to break in from engineering or PM, top companies hiring, and the TPM interview process.

May 25, 202617 min read

](https://jobsbyculture.com/blog/technical-program-manager-career-guide-2026)[📈 Industry Trends

## 30 Thoughtful Gift Ideas for Coworkers & Work Friends in 2026 (Under $25)

30 thoughtful gift ideas for coworkers under $25. Organized by occasion — birthdays, farewells, holidays, appreciation. Plus gift etiquette at work and why a group card matters more.

May 25, 202613 min read

](https://jobsbyculture.com/blog/thoughtful-gift-ideas-for-coworkers-2026)[🎯 Talent & Hiring

## Inside the Recruiter's Mind: What Actually Gets You Hired at Top AI Companies in 2026

What tech recruiters at Anthropic, OpenAI, and top AI companies actually screen for. Resume signals, referral data, portfolio tips, and why 80% of applications fail before a human sees them.

May 25, 202612 min read

](https://jobsbyculture.com/blog/what-tech-recruiters-actually-want-2026)[🏢 Company Insights

## Vast AI in 2026: ~30 Employees, $30M Raised, Salary & Culture Inside the GPU Marketplace

Working at Vast AI in 2026: ~30 employees, bootstrapped and profitable, 5.0 Glassdoor rating, $160k-$320k engineer comp, and what building the world's largest decentralized GPU cloud is really like.

May 25, 20269 min read

](https://jobsbyculture.com/blog/working-at-vast-2026)[💰 Compensation

## Supabase Compensation in 2026: Salary, Equity & Total Comp Breakdown

Supabase compensation in 2026: engineer salary ranges ($135K–$255K), equity at a $5B valuation, total comp breakdown, and how it compares to Vercel, Linear, and PostHog.

May 24, 2026

](https://jobsbyculture.com/blog/supabase-compensation-2026)[📈 Industry Trends

## The AI Infrastructure Hiring Boom: 650,000 Jobs, $700B in Capex & Who's Winning the Talent War

650,000 data center positions, 340,000 unfilled roles, and $700B in hyperscaler capex. Here's who's hiring in AI infrastructure, what they pay, and what skills get you in.

May 24, 202611 min read

](https://jobsbyculture.com/blog/ai-infrastructure-hiring-boom-2026)[📈 Industry Trends

## Building an Engineering Referral Program That Actually Works (2026 Guide)

Most referral programs fail engineering teams because they're generic. Here's how to design a program — bonus structure, diversity safeguards, and metrics — that top engineers actually use.

May 24, 202611 min read

](https://jobsbyculture.com/blog/employee-referral-programs-engineering-2026)[📈 Industry Trends

## 100 Encouragement Messages for Coworkers Going Through a Hard Time (2026)

100 copy-paste-ready encouragement messages for a coworker — organized by situation: bad day, project stress, setbacks, layoffs, personal struggles, feeling undervalued, and funny pick-me-ups.

May 24, 202614 min read

](https://jobsbyculture.com/blog/encouragement-messages-for-coworker)[🎤 Interview Prep

## HubSpot Interview Prep 2026: Process, Questions & What to Expect

Complete HubSpot interview prep guide for 2026: the 3-hour async coding assessment, system design rounds, HEART values culture fit, and what gets candidates rejected despite strong technical performance.

May 24, 20269 min read

](https://jobsbyculture.com/blog/hubspot-interview-prep-2026)[🤖 AI Skills

## Multimodal AI Engineering in 2026: The Complete Guide to Vision-Language Models & Beyond

Vision, language, audio — merged. The complete guide to multimodal AI engineering in 2026: core skills, VLM architectures, tech stack, real-world applications, portfolio projects, and career paths for a field growing 143% YoY.

May 24, 202614 min read

](https://jobsbyculture.com/blog/multimodal-ai-engineering-guide-2026)[📈 Industry Trends

## How to Negotiate Remote Work in 2026: The Engineer's Playbook

RTO mandates are spreading — but remote work is still negotiable. The complete engineer's playbook: 90-day trial tactics, comp trade-offs, what to get in writing, and which companies are genuinely remote-first.

May 24, 202611 min read

](https://jobsbyculture.com/blog/negotiating-remote-work-2026)[🏢 Company Insights

## Crusoe in 2026: 1,200 Employees, $10B Valuation, Salary & Culture

Working at Crusoe in 2026: 1,200 employees, $10B valuation, 3.4 Glassdoor rating, $197k-$330k+ engineer comp, and what it's really like inside the AI infrastructure company building Stargate.

May 24, 20269 min read

](https://jobsbyculture.com/blog/working-at-crusoe-2026)[🏢 Company Insights

## Working at Webflow in 2026: Remote-First Culture, AI Pivot & What Employees Say

Working at Webflow in 2026: ~1,700 employees, remote-first since day one, 3.7 Glassdoor rating, $140k–$280k engineer comp, and what the company's aggressive AI bet means for engineers joining now.

May 23, 20269 min read

](https://jobsbyculture.com/blog/working-at-webflow-2026)[💰 Compensation

## Robinhood Compensation in 2026: Engineer Salaries, Equity & Total Comp Breakdown

Robinhood engineer salaries in 2026: verified total comp by level (L1–L6), HOOD RSU vesting, base salary ranges, bonus structure, and how it compares to Coinbase, Stripe, and Plaid.

May 23, 20269 min read

](https://jobsbyculture.com/blog/robinhood-compensation-2026)[🤖 AI Skills

## Agentic RAG in 2026: Architecture Patterns, Frameworks & When to Use It

Most RAG tutorials are still teaching 2023 patterns. Here's the complete guide to Agentic RAG in 2026 — Self-RAG, Graph RAG, Adaptive RAG, framework comparisons, and production gotchas that matter.

May 23, 202613 min read

](https://jobsbyculture.com/blog/agentic-rag-guide-2026)[🎤 Interview Prep

## How to Prepare for a MongoDB Interview in 2026

Complete guide to MongoDB's interview process in 2026: coding rounds, concurrent programming, distributed systems design, Vector Search AI angle, compensation, and culture tips.

May 23, 202614 min read

](https://jobsbyculture.com/blog/mongodb-interview-prep-2026)[📈 Industry Trends

## Surviving a PIP in Tech: The Honest Guide Nobody Writes

You just got put on a PIP. Here's what HR won't tell you: how to tell if it's genuine, how to fight it, how to leave on your own terms, and how to protect yourself legally.

May 23, 202612 min read

](https://jobsbyculture.com/blog/surviving-a-pip-in-tech-2026)[📈 Industry Trends

## The Tech Hiring Rebound of Summer 2026: What the Data Actually Shows

Tech hiring is rebounding in summer 2026 — but unevenly. 67,000 software engineering openings hit Q1, highest since 2023. Layoffs continue (143K workers, mostly non-AI). Here's the honest read on where demand is strongest, salary realities, and who's actually hiring.

May 23, 2026

](https://jobsbyculture.com/blog/tech-hiring-rebound-summer-2026)[📈 Industry Trends

## Technical Hiring Without LeetCode: 7 Methods That Actually Predict Job Performance

LeetCode interviews are broken and most engineering teams know it. Here are 7 evidence-backed alternatives that actually predict whether a candidate will thrive in production.

May 23, 202612 min read

](https://jobsbyculture.com/blog/technical-hiring-without-leetcode-2026)[📈 Industry Trends

## 100 Best Thank You Messages for Coworkers (2026)

100 copy-paste-ready thank you messages for coworkers — heartfelt, professional, funny, for help on a project, covering your work, mentorship, and quick Slack one-liners. Genuine and specific.

May 23, 202612 min read

](https://jobsbyculture.com/blog/thank-you-messages-for-coworker)[💰 Compensation

## Scale AI Compensation 2026: $234K–$642K+ Total Comp by Level

Scale AI compensation in 2026: $234K-$642K+ total comp for engineers by level, $29B valuation, equity structure, and how Scale compares to Anthropic, OpenAI, and other AI infrastructure companies.

May 22, 20268 min read

](https://jobsbyculture.com/blog/scale-ai-compensation-2026)[📈 Industry Trends

## Job Referral Messages for a Coworker: 30 Examples That Actually Help

30 copy-paste-ready job referral messages for coworkers — for internal referral forms, LinkedIn recommendations, hiring manager emails, and more.

May 22, 202610 min read

](https://jobsbyculture.com/blog/job-referral-messages-for-coworker)[📈 Industry Trends

## Computer Use Agents in 2026: Pick One in 60 Seconds

Use Claude Computer Use for full-desktop control. Use OpenAI Operator for sandboxed web tasks. Use Stagehand for production browser automation. Full 2026 comparison of 8 computer use agents with code, pricing, and decision rules.

May 22, 202612 min read

](https://jobsbyculture.com/blog/computer-use-agents-guide-2026)[📈 Industry Trends

## How to Build an Employer Value Proposition That Engineers Actually Believe (2026)

Most EVPs fail because they read like marketing copy. Here's how to build an employer value proposition that survives engineer scrutiny — with real examples from Stripe, Linear, PostHog, GitLab, and Anthropic.

May 22, 202612 min read

](https://jobsbyculture.com/blog/employer-value-proposition-tech-2026)[📈 Industry Trends

## The Four-Day Work Week in Tech (2026): Which Companies Offer It & Does It Work?

Which tech companies actually offer a four-day work week in 2026? We analyzed 118 AI & tech companies to find who's adopted it, the research behind it, and whether it delivers on the promise.

May 22, 20268 min read

](https://jobsbyculture.com/blog/four-day-work-week-tech-companies-2026)[📈 Industry Trends

## The IC to Engineering Manager Transition: A Realistic Guide for 2026

A practical guide for senior engineers considering the move to engineering management in 2026 — when to make the switch, what actually changes, common mistakes, and which companies have the best EM cultures.

May 22, 202613 min read

](https://jobsbyculture.com/blog/ic-to-manager-transition-2026)[🎤 Interview Prep

## Airbnb Interview: 5 Rounds, ~5 Weeks — The 2026 Playbook

Airbnb's SWE loop: 30-min recruiter screen, technical phone screen, 4-5 hour virtual onsite (coding + code review + system design + values). The code review and Core Values rounds decide as many outcomes as coding — here is how to prep both.

May 22, 202610 min read

](https://jobsbyculture.com/blog/airbnb-interview-prep-2026)[🏢 Company Insights

## Cognition (Devin AI) in 2026: 305 Employees, $25B Valuation & Extreme Performance Culture

Working at Cognition in 2026: 305 employees, $25B valuation talks, 3.8 Glassdoor rating, IOI gold medalists founding team, and what the extreme performance culture is really like inside the company behind Devin.

May 22, 20269 min read

](https://jobsbyculture.com/blog/working-at-cognition-2026)[🏢 Company Insights

## Scale AI in 2026: Post-Wang Era, $500M Pentagon Deal & Culture Reality

Working at Scale AI in 2026: founder Alexandr Wang left for Meta, 14% layoffs, $500M Pentagon contract, 3.5 Glassdoor rating, and what 184 open roles mean for engineers.

May 21, 202610 min read

](https://jobsbyculture.com/blog/working-at-scale-2026)[🎤 Interview Prep

## ElevenLabs Interview Prep 2026: Process, Questions & What They Actually Look For

Complete ElevenLabs interview guide for 2026: 5-stage process, async coding screen, product decomposition round, real candidate experiences, and what the 'founder mindset' filter means.

May 21, 20269 min read

](https://jobsbyculture.com/blog/elevenlabs-interview-prep-2026)[📈 Industry Trends

## Meta Cuts 8,000 Jobs, Intuit Cuts 3,000: The AI Layoff Paradox of May 2026

Meta laid off 8,000 employees while spending $145B on AI. Intuit cut 17% of staff to pivot to AI. 150K+ tech workers cut in 2026. Here's who's actually hiring.

May 21, 20268 min read

](https://jobsbyculture.com/blog/ai-layoffs-may-2026-meta-intuit-who-is-hiring)[📈 Industry Trends

## How to Build an Engineering Culture Page That Actually Converts (2026 Guide)

Most engineering culture pages are forgettable. Here's the anatomy of pages that actually attract senior engineers — with real examples from Anthropic, Stripe, Linear, and Vercel, plus a step-by-step build guide.

May 21, 202613 min read

](https://jobsbyculture.com/blog/building-engineering-culture-page-2026)[🎉 Workplace Moments

## 45 Heartfelt Farewell Messages for Your Boss (Copy & Paste Ready)

45 genuine farewell messages for a boss who is leaving, retiring, or moving to a new role. Organized by tone — heartfelt, mentor, retirement, short, and funny. Copy and paste ready.

May 21, 202610 min read

](https://jobsbyculture.com/blog/farewell-messages-for-boss)[🤖 AI Skills

## How to Become an AI Engineer in 2026: 4 Skills, 3 Projects, 3-6 Months (No PhD)

The 2026 AI engineer path: learn 4 skills (RAG, evals, fine-tuning, vector DBs), build 3 portfolio projects, target AI product roles. 3-6 months for a working software engineer. Here's the exact playbook — what to learn, what to build, what to skip.

May 21, 202611 min read

](https://jobsbyculture.com/blog/how-to-become-ai-engineer-2026)[💰 Compensation

## Modal Compensation 2026: Salary, Equity & Total Comp at the Fastest-Growing Cloud Startup

Modal (Modal Labs) compensation in 2026: engineer salary ranges, equity at a $2.5B+ valuation, total comp breakdown, and how it compares to other AI infrastructure companies.

May 21, 2026

](https://jobsbyculture.com/blog/modal-compensation-2026)[📈 Industry Trends

## When to Leave Your Job in Tech: 8 Signs It's Time (and 3 Signs It's Not)

Practical, honest advice on knowing when to quit your tech job vs. when to stay. 8 real signs it's time to leave, 3 signs it's not, and how to exit well.

May 21, 202610 min read

](https://jobsbyculture.com/blog/when-to-leave-your-tech-job-2026)[🏢 Company Insights

## Working at Sierra in 2026: Bret Taylor's $15B AI Agent Company — Culture, Comp & What Employees Say

Inside Sierra in 2026: Bret Taylor's AI agent startup, $15.8B valuation, $150M+ ARR, 4.8 Glassdoor rating, $200k-$460k+ engineer comp, and what employees actually say about working there.

May 20, 20269 min read

](https://jobsbyculture.com/blog/working-at-sierra-2026)[💰 Compensation

## GitLab Compensation in 2026: Salary, RSUs, Benefits & the Public Calculator

GitLab engineer compensation in 2026: $117k-$310k+ total comp, public salary calculator, RSU grants, ESPP, location-based pay, and how the all-remote pioneer pays its 2,500 employees across 65+ countries.

May 20, 20268 min read

](https://jobsbyculture.com/blog/gitlab-compensation-2026)[🎤 Interview Prep

## Cursor (Anysphere) Interview Prep 2026: Process, Questions & What to Expect

Complete guide to the Cursor/Anysphere interview process in 2026: recruiter screen, technical phone screens, the 8-hour onsite project, TypeScript/Rust requirements, and real candidate experiences.

May 20, 20268 min read

](https://jobsbyculture.com/blog/cursor-interview-prep-2026)[📈 Industry Trends

## AI Coding Assistants Compared 2026: Cursor vs Copilot vs Claude Code vs Codex

The definitive 2026 comparison of AI coding assistants. Cursor leads with senior ICs, Copilot dominates enterprise with 4.7M+ paid seats, Claude Code hits 46% developer satisfaction, and Codex brings cloud-agent autonomy. Which tool fits your workflow?

May 20, 202611 min read

](https://jobsbyculture.com/blog/ai-coding-assistants-compared-2026)[📈 Industry Trends

## How AI Coding Tools Are Reshaping Developer Hiring in 2026

90% of developers use AI coding tools daily. Here's how Cursor, Copilot, and Claude Code are changing what companies look for when hiring engineers — and what it means for your career.

May 20, 20269 min read

](https://jobsbyculture.com/blog/ai-coding-tools-reshaping-developer-hiring-2026)[📈 Industry Trends

## Building an Engineering Culture Page That Actually Converts (2026)

Most engineering culture pages are ignored. Here's what converts — 7 elements top companies use to turn page visits into qualified applicants in 2026.

May 20, 202610 min read

](https://jobsbyculture.com/blog/building-engineering-culture-page-that-converts-2026)[📈 Industry Trends

## Your First 90 Days at a Startup: How to Actually Make an Impact (2026)

A practical playbook for your first 90 days at a startup — how to onboard without a handbook, ship fast, build trust with the people who matter, and drive outcomes instead of just output. No fluff.

May 20, 2026

](https://jobsbyculture.com/blog/first-90-days-at-a-startup-2026)[📈 Industry Trends

## $300B in Q1 2026: The AI Funding Boom & What It Means for Job Seekers

Q1 2026 shattered all venture funding records with $300B invested globally. AI startups now capture ~80% of all VC. Here's what the funding boom means for engineering hiring, salaries, and where the jobs actually are.

May 19, 20269 min read

](https://jobsbyculture.com/blog/ai-startup-funding-hiring-2026)[🎯 Talent & Hiring

## Candidate Experience in 2026: Why Engineers Ghost Your Hiring Process

75% of engineering applications never get a response. 52% of candidates decline offers after a bad hiring experience. Here's what's broken and how to fix it.

May 19, 202610 min read

](https://jobsbyculture.com/blog/candidate-experience-engineering-2026)[💰 Compensation

## Dropbox Salary 2026: $179K–$692K TC, RSU Vesting & How It Compares

Dropbox compensation in 2026: $179K-$692K total comp for engineers across IC1-IC5, with quarterly RSU vesting as a public company. Real salary data, benefits, Virtual First perks, and how it compares to Google, GitLab, and Notion.

May 19, 20268 min read

](https://jobsbyculture.com/blog/dropbox-compensation-2026)[🤖 AI Skills

## Embeddings & Vector Search in 2026: The Engineer's Complete Guide

A practical guide to embeddings, vector databases, and semantic search in 2026. Covers embedding models, ANN algorithms (HNSW, IVF), RAG pipelines, and what employers hire for.

May 19, 202612 min read

](https://jobsbyculture.com/blog/embeddings-vector-search-guide-2026)[📈 Industry Trends

## 100 Best Good Luck Messages for a Coworker (2026)

100 good luck messages for a coworker starting a new job, tackling a big project, earning a promotion, or hitting any milestone. Copy-paste ready.

May 19, 202610 min read

](https://jobsbyculture.com/blog/good-luck-messages-for-coworker)[📈 Industry Trends

## How to Get Promoted in Tech in 2026: The No-BS Guide

Practical strategies for getting promoted as a software engineer in 2026 — from IC3 to Senior, Senior to Staff, what promo committees actually evaluate, and when switching companies is the faster path.

May 19, 202610 min read

](https://jobsbyculture.com/blog/how-to-get-promoted-tech-2026)[🎤 Interview Prep

## Perplexity AI Interview Prep 2026: Process, Questions & What to Expect

Complete guide to the Perplexity AI interview in 2026. 3-stage process, Python-heavy coding, LLM system design, RAG architecture questions, and insider tips from real candidates. Average 23 days, 3.31/5 difficulty.

May 19, 20268 min read

](https://jobsbyculture.com/blog/perplexity-interview-prep-2026)[🏢 Company Insights

## Mercor in 2026: $10B Valuation, 200 Employees, Salary & Culture

Working at Mercor in 2026: ~200 employees, $10B valuation, 4.0 Glassdoor rating, $150k-$350k engineer comp, and what the youngest self-made billionaires built inside the AI hiring platform.

May 19, 20269 min read

](https://jobsbyculture.com/blog/working-at-mercor-2026)[🏢 Company Insights

## Working at Deepgram in 2026: Voice AI, $1.3B Valuation & Culture

Working at Deepgram in 2026: ~314 employees, $1.3B valuation, 4.6 Glassdoor rating, $210k-$300k+ engineer comp, and what the voice AI culture is really like inside.

May 18, 20269 min read

](https://jobsbyculture.com/blog/working-at-deepgram-2026)[🎉 Workplace Moments

## 25+ Employee Appreciation Messages That Actually Mean Something (2026)

25+ copy-paste-ready employee appreciation messages organized by category — for going above and beyond, mentorship, leadership, creativity, and resilience. Genuine, not corporate.

May 18, 20269 min read

](https://jobsbyculture.com/blog/employee-appreciation-messages-for-coworker)[📈 Industry Trends

## The EU AI Act Is Creating a New Class of Tech Jobs (2026)

The EU AI Act's August 2026 enforcement deadline is driving a hiring surge in AI governance, compliance, and safety roles. Here's how it's reshaping the tech job market.

May 18, 20269 min read

](https://jobsbyculture.com/blog/eu-ai-act-hiring-impact-2026)[💰 Compensation

## HubSpot Compensation in 2026: Engineer Salaries, Equity & Benefits

HubSpot engineer compensation in 2026: $167K-$500K+ total comp by level, RSU vesting, benefits breakdown, and how it compares to Salesforce, Datadog, and other SaaS companies.

May 18, 20268 min read

](https://jobsbyculture.com/blog/hubspot-compensation-2026)[🏢 Company Insights

## IC vs Engineering Manager: How to Choose the Right Career Track in 2026

The honest guide to the IC vs Engineering Manager fork in 2026: what each track actually looks like day-to-day, compensation comparisons, which companies have strong IC ladders, and the questions you should ask before deciding.

May 18, 202611 min read

](https://jobsbyculture.com/blog/ic-vs-manager-career-track-2026)[📈 Industry Trends

## MLOps Engineer in 2026: Career Path, Skills & Salary Guide

Complete MLOps engineer career guide for 2026: what they do, the full tool stack (vLLM, Kubeflow, MLflow, Feast, Evidently), salary ranges from $150K–$280K+, career ladders, and the LLMOps specialization.

May 18, 202612 min read

](https://jobsbyculture.com/blog/mlops-engineer-career-guide-2026)[🎤 Interview Prep

## How to Prepare for a Reddit Interview in 2026

Complete guide to Reddit's interview process in 2026: 5 stages, ~26 days, Go/Python coding rounds, Reddit-scale system design, behavioral tips, and culture fit advice for the post-IPO company.

May 18, 202612 min read

](https://jobsbyculture.com/blog/reddit-interview-prep-2026)[💰 Compensation

## Salary Transparency Is Reshaping Tech Hiring

Pay transparency laws are now law in California, New York, Colorado, Washington, and Illinois. Here's how the best tech companies implement salary ranges — and why 'competitive salary' kills your pipeline.

May 18, 202610 min read

](https://jobsbyculture.com/blog/salary-transparency-tech-hiring-2026)[🎤 Interview Prep

## Datadog Interview Prep 2026: Process, System Design & Coding Questions

The Datadog SWE interview is 4-5 rounds: recruiter screen, CoderPad phone screen, onsite loop (2 coding + 1 system design + 1 behavioral), and team match. Systems thinking beats algorithmic puzzles. Full stage-by-stage prep guide.

May 17, 20269 min read

](https://jobsbyculture.com/blog/datadog-interview-prep-2026)[🏢 Company Insights

## Airtable in 2026: 900 Employees, AI Pivot, Salary & Culture

Working at Airtable in 2026: ~900 employees after two rounds of layoffs (Dec 2022 + Sept 2023), 3.8 Glassdoor rating, $226k-$650k engineer comp, AI pivot with Superagent, and what the culture is really like.

May 17, 20269 min read

](https://jobsbyculture.com/blog/working-at-airtable-2026)[📈 Industry Trends

## How to Evaluate Company Culture Before Joining: The 2026 Engineer's Checklist

A 10-signal checklist for evaluating company culture before joining. Verify each from public information in under an hour: engineering blog cadence, OSS activity, leadership behavior under pressure, senior-engineer retention, and the interview-pushback test that separates marketing from reality.

May 17, 202610 min read

](https://jobsbyculture.com/blog/evaluating-company-culture-before-joining-2026)[📈 Industry Trends

## The Junior Developer Crisis 2026: Entry-Level Hiring Down 67% — What Now?

Junior developer hiring has collapsed 67% since 2022. Entry-level roles dropped 25% at top 15 tech firms. Here's the data, which companies still hire juniors, and how to break in during 2026.

May 17, 202610 min read

](https://jobsbyculture.com/blog/junior-developer-crisis-2026)[📈 Industry Trends

## MCP Server Explained: What It Is, How to Build One, Why It Matters (2026)

An MCP server lets any LLM talk to any tool over one open standard. Here's the plain-English definition, how the protocol works (JSON-RPC over stdio or HTTP), how to build one in 20 lines of Python, and why MCP is now the default integration pattern across AI tools in 2026.

May 17, 202612 min read

](https://jobsbyculture.com/blog/mcp-servers-guide-2026)[💰 Compensation

## Ramp Compensation 2026: $218K–$858K Engineer Salary by Level

Ramp engineer compensation in 2026: $218K new grad to $858K+ staff engineer total comp. Breakdown by level, equity structure, benefits, and how Ramp's $32B valuation affects your offer.

May 17, 20268 min read

](https://jobsbyculture.com/blog/ramp-compensation-2026)[💰 Compensation

## MongoDB Compensation in 2026: $163K–$1M+ by Level (SE2 to Senior Staff)

MongoDB engineer salary breakdown by level in 2026: SE2 ($163K), Senior ($356K), Staff ($572K), Senior Staff ($1M+). Base, equity, bonus details plus how MDB stock impacts total comp.

May 16, 20268 min read

](https://jobsbyculture.com/blog/mongodb-compensation-2026)[🏢 Company Insights

## Anthropic Glassdoor Reviews Decoded 2026: What 150+ Employees Actually Say

We analyzed 150+ Anthropic Glassdoor reviews in 2026. 4.4 overall, 4.8 compensation, but only 3.7 WLB. Here's what employees love, what they warn about, and who should apply.

May 16, 202612 min read

](https://jobsbyculture.com/blog/anthropic-glassdoor-reviews-decoded-2026)[📈 Industry Trends

## The AI Talent War in 2026: 1.6M Open Roles, 518K Qualified Candidates

The AI hiring market has split in two: frontier labs pay $600K-$1M+ while most companies lose candidates at $170K-$245K. Data on the 56% AI wage premium, 88% hiring growth, and what it means for engineers.

May 16, 20269 min read

](https://jobsbyculture.com/blog/ai-talent-war-2026)[🎤 Interview Prep

## Google DeepMind Interview Prep 2026: Process, Questions & How to Get In

Complete Google DeepMind interview guide for 2026. Research Scientist, Research Engineer, and Software Engineer tracks — coding rounds, paper discussion, ML coding, system design, and timeline.

May 16, 202610 min read

](https://jobsbyculture.com/blog/deepmind-interview-prep-2026)[📈 Industry Trends

## How to Hire Senior Engineers in 2026: What Actually Works (And What Doesn't)

The senior engineer hiring market in 2026 is brutal. Here's what actually works: transparent comp, culture visibility, fast processes, and what to stop doing immediately.

May 16, 202610 min read

](https://jobsbyculture.com/blog/hiring-senior-engineers-2026)[🤖 AI Skills

## LLM Observability in 2026: Monitoring, Tracing & Debugging Production AI Systems

The complete guide to LLM observability in 2026: metrics to track, tools to use, tracing agent architectures, and how this skill maps to the fastest-growing AI platform roles.

May 16, 202612 min read

](https://jobsbyculture.com/blog/llm-observability-guide-2026)[🚀 Career Growth

## The Staff Engineer Career Path in 2026: How to Get There and What It's Actually Like

The complete guide to reaching Staff Engineer in 2026: what the role actually involves, the compensation jump ($400K-$800K), promotion strategies, archetypes, and which companies value Staff+ roles most.

May 16, 202612 min read

](https://jobsbyculture.com/blog/staff-engineer-career-path-2026)[📈 Industry Trends

## 30 Heartfelt Thank You Messages for Your Work Mentor (2026)

30 genuine thank-you messages for your work mentor — for managers, peer mentors, career champions, and mentors who are leaving. Copy and paste or personalize.

May 16, 20266 min read

](https://jobsbyculture.com/blog/thank-you-messages-for-mentor)[🏢 Company Insights

## Hippocratic AI in 2026: $3.5B Valuation, 264 Employees, Culture & Salary

Working at Hippocratic AI in 2026: $3.5B valuation, 264 employees, 3.9 Glassdoor rating, $150k-$350k salary range, and what the mission-first healthcare AI culture is really like inside.

May 16, 20269 min read

](https://jobsbyculture.com/blog/working-at-hippocratic-ai-2026)[📈 Industry Trends

## Building a Personal Brand as a Software Engineer in 2026: The Practical Guide

A practical guide to building your personal brand as a software engineer in 2026. From choosing your niche to the 4 channels that actually work, plus what to avoid.

May 15, 202610 min read

](https://jobsbyculture.com/blog/building-personal-brand-engineer-2026)[💰 Compensation

## Datadog Compensation in 2026: Engineer Salaries, Equity & Total Comp by Level

Datadog engineer compensation in 2026: $185K-$574K+ total comp by level, DDOG stock equity, bonuses, benefits, and how it compares to Grafana Labs, Snowflake, and other observability companies.

May 15, 20268 min read

](https://jobsbyculture.com/blog/datadog-compensation-2026)[📈 Industry Trends

## 50 Heartfelt Leaving Job Messages for Coworkers (Copy & Paste)

50 leaving job messages for coworkers, sorted by audience: close colleagues, your manager, the whole team, someone else who's leaving, Slack one-liners, and heartfelt card lines. All copy-paste ready — find the right words in 30 seconds.

May 15, 202610 min read

](https://jobsbyculture.com/blog/leaving-job-messages-for-coworkers)[📈 Industry Trends

## How to Onboard Remote Engineers in 2026: The Playbook That Retains Talent

The complete remote onboarding playbook for engineering teams. Week-by-week framework, buddy systems, first-PR strategies, and what GitLab, Grafana Labs, and PostHog do differently.

May 15, 202611 min read

](https://jobsbyculture.com/blog/onboarding-remote-engineers-2026)[🎤 Interview Prep

## Spotify Interview Prep 2026: Process, Questions & What to Expect

Complete guide to Spotify's 4-5 stage interview process in 2026: coding rounds, system design, the unique case study, behavioral/values questions, and preparation strategies.

May 15, 202611 min read

](https://jobsbyculture.com/blog/spotify-interview-prep-2026)[📈 Industry Trends

## Synthetic Data Engineering in 2026: The Complete Guide for AI Engineers

The complete guide to synthetic data engineering in 2026: tools, pipelines, quality validation, and how frontier AI labs use synthetic data for training, evaluation, and alignment.

May 15, 202612 min read

](https://jobsbyculture.com/blog/synthetic-data-engineering-guide-2026)[📈 Industry Trends

## The Two-Speed Tech Job Market: AI Hiring Surges While Mid-Level Engineers Face a Reset (Q2 2026)

The 2026 tech job market is split: AI roles are at record highs with 71% of postings requiring AI skills, while mid-level engineers face the longest searches in years. Data-driven analysis of who's hiring, who's cutting, and where the opportunities are.

May 15, 20269 min read

](https://jobsbyculture.com/blog/tech-job-market-q2-2026)[🏢 Company Insights

## Working at Grafana Labs in 2026: 1,800 Employees, $9B Valuation & Remote-First Culture

Working at Grafana Labs in 2026: 1,800 employees across 50+ countries, 4.1 Glassdoor rating, $150K-$255K+ engineer comp, and what the open-source, remote-first culture is really like inside.

May 15, 20269 min read

](https://jobsbyculture.com/blog/working-at-grafanalabs-2026)[🤖 AI Skills

## AI Agents Are Replacing SaaS

40% of enterprise apps will feature task-specific AI agents by 2026. Multi-agent system usage spiked 327% in 4 months. Here's what the SaaS-to-agents shift means for engineers, hiring, and which companies are leading it.

May 14, 202610 min read

](https://jobsbyculture.com/blog/ai-agents-replacing-saas-2026)[💰 Compensation

## ElevenLabs Compensation 2026: Salary, Equity & Total Comp Breakdown

ElevenLabs compensation in 2026: $140k-$290k+ total comp for engineers, $11B valuation, $500M ARR, and what the equity is actually worth at the fastest-growing voice AI company.

May 14, 20268 min read

](https://jobsbyculture.com/blog/elevenlabs-compensation-2026)[🎤 Interview Prep

## Linear Interview Prep 2026: Work Trials, Process & How to Stand Out

Complete Linear interview prep guide for 2026: the paid work trial model, what Karri Saarinen's team values (slope, taste, ownership), how blind vote feedback works, and how to stand out at one of the most selective remote-first product teams in tech.

May 14, 202613 min read

](https://jobsbyculture.com/blog/linear-interview-prep-2026)[📈 Industry Trends

## LLMOps in 2026: The Complete Guide to Deploying and Managing LLMs in Production

LLMOps in 2026 — the operational layer between a model returning a response and a product users trust. Model serving (vLLM, TGI), observability, eval pipelines, prompt versioning, cost controls, and the failure modes that wreck production LLM deployments.

May 14, 202614 min read

](https://jobsbyculture.com/blog/llmops-guide-2026)[📈 Industry Trends

## Why 40% of Engineering Candidates No-Show

Engineering interview no-shows are at an all-time high in 2026. Here's why candidates ghost — and 5 concrete fixes that actually work.

May 14, 20269 min read

](https://jobsbyculture.com/blog/reducing-engineering-interview-no-shows-2026)[📈 Industry Trends

## 50 Thank You Messages for Your Boss (Copy-Paste Ready, 2026)

50 genuine thank you messages for your boss — organized by occasion (general, supportive boss, mentor, promotion, leaving). Copy and paste the right words in seconds.

May 14, 20269 min read

](https://jobsbyculture.com/blog/thank-you-messages-for-boss)[📈 Industry Trends

## How to Transition Into AI Engineering in 2026: 90-Day Plan for Software Engineers

The short version: most AI engineering roles in 2026 are software engineering jobs with AI skills layered on top — not research positions. If you can ship code, you can transition. Here's a concrete 90-day plan, the role landscape, the skills that matter most, and the portfolio projects that actually get you hired.

May 14, 202611 min read

](https://jobsbyculture.com/blog/transitioning-to-ai-roles-2026)[🏢 Company Insights

## Working at Cerebras Systems in 2026: IPO, Culture, Salary & Engineering

Working at Cerebras Systems in 2026: now public on Nasdaq (CBRS) at a ~$56B fully diluted valuation, ~700 employees, 4.1 Glassdoor rating, wafer-scale AI chips, $164k+ eng base, and what it's really like building the world's largest processor.

May 14, 20269 min read

](https://jobsbyculture.com/blog/working-at-cerebras-2026)[📈 Industry Trends

## The AI Hiring Paradox: 92,000 Laid Off, Millions of New Jobs

92,000+ tech employees laid off in 2026 — and 12 million new AI jobs projected by year end. This isn't a contradiction. Here's the data-backed breakdown of which roles are disappearing, which are exploding, and what job seekers should actually do about it.

May 13, 2026

](https://jobsbyculture.com/blog/ai-hiring-paradox-may-2026)[📈 Industry Trends

## 75 Baby Shower Messages for Coworkers

75 baby shower messages for coworkers — heartfelt, funny, and professional. Copy-paste ready for cards, Slack, or email. For close colleagues, managers, and team cards.

May 13, 202612 min read

](https://jobsbyculture.com/blog/baby-shower-messages-for-coworker)[🤖 AI Skills

## Building AI Agents for Production: The 7 Architecture Patterns That Actually Work (2026)

The 7 architecture patterns that separate production AI agents from broken demos: ReAct, tool use, planning, reflection, multi-agent orchestration, RAG-augmented agents, and human-in-the-loop.

May 13, 202612 min read

](https://jobsbyculture.com/blog/building-ai-agents-production-guide-2026)[🤖 AI Skills

## Retaining AI Engineers in 2026: What Actually Works (And What Doesn't)

Most companies try to retain AI engineers with money. The data shows that's rarely why they leave. Here are the 7 retention levers that actually work — from interesting problems to technical career ladders.

May 13, 202611 min read

](https://jobsbyculture.com/blog/retaining-ai-engineers-2026)[💰 Compensation

## Snowflake Compensation in 2026: Engineer Salaries, RSUs & What the Stock Crash Means for Your Offer

Snowflake compensation in 2026: $238K-$927K+ total comp for engineers. Real salary data by level, how RSU vesting works with SNOW stock down 20% YTD, and how it compares to Databricks, Anthropic, OpenAI, and Stripe.

May 13, 2026

](https://jobsbyculture.com/blog/snowflake-compensation-2026)[🎤 Interview Prep

## Vercel Interview Prep 2026: Process, Questions & What to Expect

Complete Vercel interview prep guide for 2026: all 5 round types, real candidate questions, what Guillermo Rauch's team looks for, and how to stand out at one of the most respected developer tools companies in the world.

May 13, 202612 min read

](https://jobsbyculture.com/blog/vercel-interview-prep-2026)[🏢 Company Insights

## Working at Grafana Labs in 2026: Culture, Compensation & What Employees Say

Working at Grafana Labs in 2026: 1,775 employees, $9B valuation, 4.1 Glassdoor rating, 100% remote-first across 40+ countries, and what building the world's most popular open-source observability stack is really like.

May 13, 20269 min read

](https://jobsbyculture.com/blog/working-at-grafana-labs-2026)[🏢 Company Insights

## Asana in 2026: 1,700 Employees, CEO Transition, Salary & Culture

Working at Asana in 2026: 1,700 employees, new CEO Dan Rogers, 4.1 Glassdoor rating, $164k-$415k engineer comp, and what the mindful culture is really like inside the company.

May 12, 20269 min read

](https://jobsbyculture.com/blog/working-at-asana-2026)[💰 Compensation

## Palantir Salary 2026: $186K–$415K+ TC, Stock That Turned Employees Into Millionaires

Palantir compensation in 2026: $186K-$350K+ total comp for SWEs, $171K-$415K+ for FDSEs, and PLTR stock from $8 IPO to ~$137. Full breakdown of salary, RSUs, the FDSE role, and how it compares to Anthropic, OpenAI, Google, and Meta.

May 12, 2026

](https://jobsbyculture.com/blog/palantir-compensation-2026)[📈 Industry Trends

## AI Code Assistants Compared 2026: Cursor vs Claude Code vs Copilot vs Windsurf

Comparing the best AI code assistants in 2026: Cursor, Claude Code, GitHub Copilot, Windsurf, Cline, and OpenAI Codex. SWE-bench scores, pricing, and which tool fits your workflow.

May 12, 202612 min read

](https://jobsbyculture.com/blog/ai-code-assistants-compared-2026)[📈 Industry Trends

## The AI Safety Hiring Boom: Why Alignment Researchers Are the Hottest Hire in 2026

AI safety went from academic niche to the hottest hire in tech. 45% salary premiums, $250K-$450K comp, and 4x headcount growth at major labs. Here's what's driving the boom and how to break in.

May 12, 202610 min read

](https://jobsbyculture.com/blog/ai-safety-hiring-boom-2026)[📈 Industry Trends

## 100+ Congratulations on New Job Messages for Colleagues (2026)

100+ genuine congratulations messages for someone starting a new job — organized by tone (general, funny, professional, short, inspirational, personal). Copy and paste ready.

May 12, 202614 min read

](https://jobsbyculture.com/blog/congratulations-on-new-job-messages)[🎤 Interview Prep

## How to Prepare for a Scale AI Interview in 2026 — Process, Rounds & What to Expect

Complete Scale AI interview prep guide for 2026: the HackerRank screen, 4-round onsite, system design for data pipelines, the unique debugging round, and what a $29B AI infrastructure company looks for in candidates.

May 12, 202611 min read

](https://jobsbyculture.com/blog/scale-ai-interview-prep-2026)[🏢 Company Insights

## Startups vs Big Tech in 2026: An Honest Guide for Engineers

Startups vs big tech in 2026: real compensation data ($400K+ big tech TC vs startup equity gambles), career trajectories, culture trade-offs, and a practical decision framework for engineers.

May 12, 202610 min read

](https://jobsbyculture.com/blog/startups-vs-big-tech-2026)[📈 Industry Trends

## Technical Assessment Best Practices 2026: How Top Companies Evaluate Engineers

The 2026 playbook for technical assessments: AI-aware evaluation, pair programming, take-home projects, and the data proving LeetCode doesn't predict job success. For engineering and hiring managers.

May 12, 202610 min read

](https://jobsbyculture.com/blog/technical-assessment-best-practices-2026)[🎤 Interview Prep

## Notion Interview Prep 2026: Process, Questions & Tips

Complete guide to Notion's interview process in 2026: coding rounds focused on practical problem-solving, system design for collaborative editing, product sense, and culture fit tips from 141+ open roles.

May 11, 202611 min read

](https://jobsbyculture.com/blog/notion-interview-prep-2026)[🏢 Company Insights

## Startup vs Big Tech in 2026: The Decision Framework (30-Second Answer Above the Fold)

Big tech wins on base comp and brand-name leverage. Startups win on equity upside and scope per person. Scale-ups are the rising middle path. Here's the 5-question framework that maps your specific situation to the right call — with comp, WLB, and culture data from the JobsByCulture directory behind it.

May 11, 2026

](https://jobsbyculture.com/blog/choosing-startup-vs-big-tech-2026)[🤖 AI Skills

## How to Hire AI Engineers in 2026: A Strategy Guide for Talent Leaders

A practical strategy guide for hiring AI engineers in 2026. What AI talent actually wants, where to source them, how to design interviews, and what makes offers competitive.

May 11, 202610 min read

](https://jobsbyculture.com/blog/hiring-strategy-ai-engineers-2026)[📈 Industry Trends

## MCP (Model Context Protocol) Guide 2026 — What AI Engineers Need to Know

The complete MCP guide for 2026: architecture, popular servers, building your own, use cases, and why Model Context Protocol is becoming the USB-C standard for AI tool integration.

May 11, 202612 min read

](https://jobsbyculture.com/blog/mcp-model-context-protocol-guide-2026)[💰 Compensation

## Reddit Compensation 2026: $278k–$874k+ Total Comp by Level (IC1–IC6)

Reddit engineer compensation in 2026: IC3 earns $278k, IC4 $437k, IC5 $662k, IC6 $874k+. Full breakdown of base salary, RDDT RSUs, bonus, and how post-IPO stock performance affects total comp.

May 11, 20268 min read

](https://jobsbyculture.com/blog/reddit-compensation-2026)[📈 Industry Trends

## Only 19% of AI Companies Are Genuinely Remote-First: Our Data Across 118 Companies

We analyzed 118 AI and tech companies' remote policies. Only 19% are genuinely remote-first. Here's who's actually remote, who's pretending, and what the data reveals about the 2026 remote landscape.

May 11, 20268 min read

](https://jobsbyculture.com/blog/remote-work-ai-companies-data-2026)[📈 Industry Trends

## 50+ Sympathy Messages for a Coworker's Loss (2026)

50+ thoughtful sympathy messages for when a coworker loses a loved one. Organized by relationship — parent, spouse, child, sibling. Copy-paste ready, genuine, and never corporate.

May 11, 202614 min read

](https://jobsbyculture.com/blog/sympathy-messages-for-coworker-loss)[🏢 Company Insights

## Cohere in 2026: ~1,100 Employees, $20B Valuation (Aleph Alpha Merger) & Culture

Working at Cohere in 2026: ~1,100 employees, ~$20B combined valuation post Aleph Alpha merger, 2.9 Glassdoor rating, $255k-$615k engineer comp, and what employees really say about the enterprise AI company founded by a Transformer co-author.

May 11, 20269 min read

](https://jobsbyculture.com/blog/working-at-cohere-2026)[💰 Compensation

## Cloudflare Compensation in 2026: Engineer Salary, RSUs & Total Comp by Level

Cloudflare engineer compensation in 2026: $146K-$315K+ total comp by level (L1-L5), RSU vesting, NET stock impact, 20% layoff context, and how it compares to FAANG and AI companies.

May 10, 20268 min read

](https://jobsbyculture.com/blog/cloudflare-compensation-2026)[🏢 Company Insights

## Working at Helsing in 2026: Europe's $18B Defense AI Startup, Culture & Salary

Inside Helsing in 2026: ~700 employees, $18B valuation, 3.9 Glassdoor rating, €80k-€150k+ engineer comp, and what working at Europe's most ambitious defense AI company is actually like.

May 10, 20269 min read

](https://jobsbyculture.com/blog/working-at-helsing-2026)[🎤 Interview Prep

## Palantir Interview Prep 2026: Process, Decomposition Round & Real Questions

Complete Palantir interview guide for 2026: the 4-stage process, decomposition round deep-dive, system design tips, real coding questions, and what 46% of candidates say about the experience.

May 10, 202610 min read

](https://jobsbyculture.com/blog/palantir-interview-prep-2026)[📈 Industry Trends

## The $700B AI Infrastructure Boom: What It Means for Engineers in 2026

Big Tech is spending $700 billion on AI infrastructure in 2026. Here's what the GPU arms race, 340,000 unfilled data center jobs, and soaring engineer demand mean for your career.

May 10, 20269 min read

](https://jobsbyculture.com/blog/ai-infrastructure-spending-boom-2026)[📈 Industry Trends

## 100+ Promotion Congratulations Messages for a Coworker (2026)

100+ promotion congratulations messages for a coworker — formal, casual, funny, and heartfelt. Copy and paste into a card, Slack message, or email. For colleagues, bosses, and team members.

May 10, 202615 min read

](https://jobsbyculture.com/blog/promotion-congratulations-messages-for-coworker)[🤖 AI Skills

## Vector Databases Compared in 2026: Pinecone vs Weaviate vs Qdrant vs Chroma vs Milvus

A practical comparison of the top vector databases in 2026 — Pinecone, Weaviate, Qdrant, Chroma, and Milvus. Performance benchmarks, pricing, ecosystem fit, and when to use each.

May 10, 202612 min read

](https://jobsbyculture.com/blog/vector-databases-compared-2026)[📈 Industry Trends

## When to Leave Your Job: 9 Signs It's Time to Move On (2026)

9 concrete signs it's time to quit your job in 2026, plus a framework for deciding — stalled growth, toxic culture, below-market pay, values misalignment, and more. Actionable advice for tech workers.

May 10, 2026

](https://jobsbyculture.com/blog/when-to-leave-your-job-2026)[📈 Industry Trends

## Agentic AI Jobs Grew 280% in 2026

90,000 agentic AI job postings in 2026, up 280% YoY. Average salary: $190K. Anthropic, OpenAI, Cursor, and LangChain are all hiring. The roles, skills, and companies you need to know.

May 9, 20269 min read

](https://jobsbyculture.com/blog/agentic-ai-hiring-boom-2026)[🎤 Interview Prep

## Meta Interview Prep 2026: Process, Questions & What Changed This Year

Complete Meta software engineer interview guide for 2026. New AI-enabled coding round, 4-round onsite structure, system design tips, behavioral prep, and real questions from recent candidates.

May 9, 202610 min read

](https://jobsbyculture.com/blog/meta-interview-prep-2026)[🤖 AI Skills

## Prompt Engineering Best Practices in 2026: What Actually Works

Practical prompt engineering techniques that work with Claude, GPT-4/5, and Gemini in 2026. Chain-of-thought, tool calling, system prompts for agents, eval frameworks, and career outlook.

May 9, 202612 min read

](https://jobsbyculture.com/blog/prompt-engineering-best-practices-2026)[💰 Compensation

## Spotify Compensation in 2026: Engineer Salaries, Equity & Total Comp

Spotify compensation breakdown for 2026: $138K-$387K total comp for engineers, pick-and-mix equity, RSU vs stock options explained, and how it compares to other top tech companies.

May 9, 20268 min read

](https://jobsbyculture.com/blog/spotify-compensation-2026)[📈 Industry Trends

## 80 Best Thank You Messages for Your Team (2026)

80 heartfelt thank you messages for your team — organized by occasion (project completion, daily support, going above and beyond, leadership, mentorship). Copy and paste to show real appreciation.

May 9, 202610 min read

](https://jobsbyculture.com/blog/thank-you-messages-for-team)[🏢 Company Insights

## Synthesia in 2026: $4B Valuation, 700 Employees, Salary & Culture

Working at Synthesia in 2026: $4B valuation, 700 employees, 4.4 Glassdoor rating, £107k-£200k+ engineer comp, and what the velocity-obsessed culture is really like inside the AI video unicorn.

May 9, 20269 min read

](https://jobsbyculture.com/blog/working-at-synthesia-2026)[🎯 Talent & Hiring

## Writing Inclusive Job Descriptions That Actually Work (2026 Guide)

Data-backed guide to writing inclusive job descriptions in 2026. Replace exclusionary language, restructure requirements, and signal culture to attract diverse, qualified candidates.

May 9, 202610 min read

](https://jobsbyculture.com/blog/writing-inclusive-job-descriptions-2026)[💰 Compensation

## Figma Salary 2026: $221K–$909K TC, Post-IPO RSUs & How It Compares

Figma compensation in 2026: $221K-$909K total comp for engineers, with publicly traded RSUs (NYSE: FIG). Real compensation data, salary by level, equity vesting, benefits, and how it compares to Canva, Adobe, Stripe, and OpenAI.

May 8, 2026

](https://jobsbyculture.com/blog/figma-compensation-2026)[💰 Compensation

## Airbnb Salary 2026: $290K–$876K TC, Public RSUs & Live Anywhere Policy

Airbnb compensation in 2026: $290K-$876K total comp for engineers, with publicly traded RSUs (NASDAQ: ABNB) and the industry-leading 'Live and Work Anywhere' policy. Salary by level, equity vesting, $2K travel credits, and how it compares.

May 8, 2026

](https://jobsbyculture.com/blog/airbnb-compensation-2026)[🏢 Company Insights

## Working at Suno in 2026: AI Music, Culture & What Engineers Say

Working at Suno in 2026: ~200 employees, 4.2 Glassdoor rating, $5.4B Series D valuation (June 2026), and what engineers actually say about building AI music at the intersection of creativity and machine learning.

May 8, 202611 min read

](https://jobsbyculture.com/blog/working-at-suno-2026)[💰 Compensation

## Notion Salary 2026: $280K–$900K TC, Private Equity & How It Compares

Notion compensation in 2026: $280K-$900K total comp for engineers, with equity grants valued at $11B. Real salary data by level, equity structure, benefits, and how Notion compares to Figma, Linear, and Stripe.

May 8, 2026

](https://jobsbyculture.com/blog/notion-compensation-2026)[💰 Compensation

## Character AI Compensation 2026: Salary, Equity & What Engineers Actually Make

Character AI compensation in 2026: $200K-$650K total comp for engineers, with equity grants vesting over 4 years. Real salary data, the Google deal's impact on equity, and how Character AI pay compares to other AI startups.

May 8, 2026

](https://jobsbyculture.com/blog/character-ai-compensation-2026)[💰 Compensation

## Coinbase Salary 2026: $188K–$547K TC, COIN RSUs & Post-Layoff Reality

Coinbase compensation in 2026: $188K-$547K total comp for engineers, with publicly traded RSUs (NASDAQ: COIN). Real salary data by IC level, equity vesting, benefits, and how the May 2026 layoffs change the picture.

May 8, 2026

](https://jobsbyculture.com/blog/coinbase-compensation-2026)[🎤 Interview Prep

## Ramp Interview Prep 2026 — Process, Questions & How to Stand Out

Complete Ramp interview prep guide for 2026: the CTF puzzle challenge, CodeSignal OA, pair programming rounds, system design for fintech, compensation ($220k-$500k+ TC), and how to show 'slope.'

May 8, 202614 min read

](https://jobsbyculture.com/blog/ramp-interview-prep-2026)[🏢 Company Insights

## Zapier Remote Work Policy 2026

Zapier has been 100% remote since 2011 with no office, ever. Here's how their async-first culture actually works across 40+ countries, what employees say, and whether the reality matches the reputation in 2026.

May 8, 2026

](https://jobsbyculture.com/blog/zapier-remote-work-policy-2026)[💰 Compensation

## Perplexity AI Salary 2026: $180K–$450K+ TC, Equity & How It Compares

Perplexity AI compensation in 2026: $180K-$450K+ total comp for engineers, with significant pre-IPO equity at a $22B+ valuation. Real compensation data from verified reports, equity structure, and how it compares to OpenAI, Anthropic, and Cursor.

May 8, 2026

](https://jobsbyculture.com/blog/perplexity-compensation-2026)[💰 Compensation

## AI Engineer Salary Guide 2026: What Companies Actually Pay by Level

Real AI engineer compensation data by level in 2026 — from entry-level ($145K) to staff ($450K+). Based on verified offers across frontier labs, startups, and big tech.

May 7, 20268 min read

](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026)[📈 Industry Trends

## Top AI/ML Skills Employers Actually Hire For in 2026

We analyzed 1,800+ AI/ML job postings across 116 companies to find the skills that actually get you hired in 2026 — from LLM fine-tuning to MLOps to AI agent development.

May 7, 202610 min read

](https://jobsbyculture.com/blog/top-ai-ml-skills-employers-hire-for-2026)[🎤 Interview Prep

## Coinbase Interview Prep 2026: Process, Questions & How to Stand Out

Complete guide to the Coinbase interview in 2026. CodeSignal OA, system design, behavioral rounds — with real questions, timelines, and prep strategies from successful candidates.

May 6, 202610 min read

](https://jobsbyculture.com/blog/coinbase-interview-prep-2026)[🤖 AI Skills

## LLM Evaluation Guide 2026: How to Benchmark & Compare Language Models

The practical guide to evaluating LLMs in 2026. Which benchmarks actually matter (GPQA, SWE-bench, Arena Elo), which are saturated, and how to build your own eval suite for production.

May 6, 202610 min read

](https://jobsbyculture.com/blog/llm-evaluation-guide-2026)[🎯 Talent & Hiring

## How to Reduce Time-to-Hire for Engineering Roles in 2026

The average engineering hire takes 41 days. Top candidates disappear in 10. Here's a practical framework to cut your time-to-hire in half without sacrificing quality.

May 6, 20269 min read

](https://jobsbyculture.com/blog/reduce-time-to-hire-engineering-2026)[🎤 Interview Prep

## Figma Interview Prep 2026: Process, Questions & What to Expect

Complete Figma interview prep guide for 2026 — the 4-stage process, real system design questions about CRDTs and multiplayer, coding format, compensation ($221K-$733K), and how to stand out.

May 5, 20269 min read

](https://jobsbyculture.com/blog/figma-interview-prep-2026)[🤖 AI Skills

## LangGraph vs CrewAI vs OpenAI Agents SDK vs AutoGen

LangGraph for production. CrewAI for prototypes. OpenAI Agents SDK if you're OpenAI-only. Skip AutoGen — Microsoft moved it to maintenance. Direct comparison, durability/observability trade-offs, and the decision matrix for picking a framework in 2026.

May 5, 202610 min read

](https://jobsbyculture.com/blog/ai-agent-frameworks-compared-2026)[🎯 Talent & Hiring

## Why Engineers Research Company Culture Before Responding to Recruiters (2026)

What top engineers actually look at before replying to your outreach — Glassdoor patterns, engineering blogs, LinkedIn tenure, careers pages, and community sentiment. A guide for talent teams.

May 5, 20268 min read

](https://jobsbyculture.com/blog/why-engineers-research-culture-before-responding-2026)[🎤 Interview Prep

## Cloudflare Interview Prep 2026 — Process, Questions & What to Expect

Complete Cloudflare interview prep guide for 2026: the 5-stage process, system design questions (distributed KV stores, DDoS mitigation), coding rounds, networking fundamentals, and what makes Cloudflare interviews unique.

May 4, 202610 min read

](https://jobsbyculture.com/blog/cloudflare-interview-prep-2026)[🚀 Career Growth

## How to Evaluate Company Culture Before Accepting an Offer — 2026 Guide

A practical framework for evaluating company culture before you accept a job offer. 12 signals that predict your day-to-day experience — and how to detect them during the interview process.

May 4, 202611 min read

](https://jobsbyculture.com/blog/evaluate-company-culture-before-accepting-offer-2026)[🤖 AI Skills

## Fine-Tuning vs RAG vs Prompt Engineering — When to Use What in 2026

The decision rule: start with prompt engineering, add RAG when you need facts, fine-tune only when you need behavior the model can't imitate. Cost, latency, and accuracy tradeoffs with production-grade examples for 2026.

May 4, 202612 min read

](https://jobsbyculture.com/blog/fine-tuning-vs-rag-vs-prompt-engineering-2026)[🎤 Interview Prep

## Databricks Interview Prep 2026 — Process, Questions & What to Expect

Complete Databricks interview prep guide for 2026: the 4-stage process, coding rounds with concurrency focus, system design deep-dives, GenAI questions, and compensation ($253k-$673k+ TC).

May 3, 20269 min read

](https://jobsbyculture.com/blog/databricks-interview-prep-2026)[🤖 AI Skills

## RAG Architecture Guide 2026 — Build Production-Ready Retrieval Systems

The definitive RAG architecture guide for 2026: chunking strategies, hybrid search, reranking, vector databases, evaluation frameworks, and the patterns that separate prototypes from production systems.

May 3, 202611 min read

](https://jobsbyculture.com/blog/rag-architecture-guide-2026)[🏢 Company Insights

## Pylon in 2026: 70 Employees, $51M Raised, Salary & Culture

Working at Pylon in 2026: 70 employees, $51M raised from a16z and YC, 4.3 Glassdoor rating, hardcore builder culture, and what the B2B support startup is really like inside.

May 2, 20268 min read

](https://jobsbyculture.com/blog/working-at-pylon-2026)[🎯 Talent & Hiring

## Why Your Recruiter Outbound Emails Get Ignored by Engineers (And How to Fix It)

Engineers get 10-15 recruiter messages per week and ignore most of them. Here's what the data says about why — and the specific changes that increase response rates from 18% to 45%.

May 2, 20267 min read

](https://jobsbyculture.com/blog/why-recruiter-emails-get-ignored)[🏢 Company Insights

## Working at Reddit in 2026: Culture, Compensation & the Public Company Transition

Working at Reddit in 2026: 2,555 employees, NYSE: RDDT, $2.2B revenue, 3.8 Glassdoor rating, and what the 'Default Open' culture is really like inside the front page of the internet.

May 1, 20269 min read

](https://jobsbyculture.com/blog/working-at-reddit-2026)[🎯 Talent & Hiring

## What Engineers Actually Look at on Your Careers Page (and What They Skip)

What do engineers actually read on your careers page? Our analysis of 117 company career sites reveals what gets attention, what gets skipped, and how to fix it.

May 1, 20267 min read

](https://jobsbyculture.com/blog/what-engineers-look-at-on-careers-pages)[🏢 Company Insights

## Working at Dropbox in 2026: Virtual First, the Dash AI Pivot & Culture Reality

Working at Dropbox in 2026: Virtual First remote policy, $2.5B revenue, 3.9 Glassdoor rating, the Dash AI pivot, and what 2,113 employees actually say about the culture.

May 1, 20269 min read

](https://jobsbyculture.com/blog/working-at-dropbox-2026)[🎤 Interview Prep

## How to Prepare for a Stripe Interview in 2026

Complete guide to Stripe's interview process in 2026: the famous bug bash round, system design for payments, coding questions, compensation, and culture tips from 493+ open roles.

Apr 30, 202612 min read

](https://jobsbyculture.com/blog/stripe-interview-prep-2026)[🎤 Interview Prep

## How to Prepare for an Anthropic Interview in 2026 — Culture, Process & Questions

Complete Anthropic interview prep guide for 2026: the 4-stage process, technical coding rounds, the unique values & safety interview, compensation ($300k-$490k), and what 440+ open roles look like.

Apr 30, 202612 min read

](https://jobsbyculture.com/blog/anthropic-interview-prep-2026)[🎯 Talent & Hiring

## How to Write Job Descriptions That Senior Engineers Actually Read

Most engineering job descriptions lose senior candidates in the first 30 seconds. Here's exactly how to fix them — from salary transparency to tech stack honesty to killing the jargon.

Apr 30, 20268 min read

](https://jobsbyculture.com/blog/how-to-write-engineering-job-descriptions-2026)[🎤 Interview Prep

## How to Prepare for an OpenAI Interview in 2026 — Process, Questions & What to Expect

Complete OpenAI interview prep guide for 2026: 4-6 round process, real coding & system design questions, ML-specific rounds, behavioral tips, compensation data, and what 668+ open roles mean for candidates.

Apr 30, 202612 min read

](https://jobsbyculture.com/blog/openai-interview-prep-2026)[🏢 Company Insights

## Working at Intercom in 2026: Culture, Compensation & What Employees Say

Working at Intercom in 2026: ~2,000 employees, 3.9 Glassdoor rating (471 reviews), ships code 180x per day, $250M new funding, and what employees say about the engineering culture and AI-first pivot.

Apr 30, 20269 min read

](https://jobsbyculture.com/blog/working-at-intercom-2026)[🏢 Company Insights

## Working at Robinhood in 2026: Culture, Compensation & What Employees Say

Working at Robinhood in 2026: ~2,500 employees, 3.6 Glassdoor rating, engineering-first culture, $180k–$450k comp, and what employees say after the layoffs, the GameStop drama, and the profitability comeback.

Apr 30, 202610 min read

](https://jobsbyculture.com/blog/working-at-robinhood-2026)[🏢 Company Insights

## Working at Tailscale in 2026: ~290 Employees, Remote-First, Salary & Culture

Working at Tailscale in 2026: ~290 employees, remote-first, 4.4 Glassdoor rating, same pay worldwide, $1.5B valuation, and what the open-source, engineering-driven culture is really like.

Apr 29, 20269 min read

](https://jobsbyculture.com/blog/working-at-tailscale-2026)[🏢 Company Insights

## Working at Palantir in 2026: 4,000 Employees, Salary & Culture

Working at Palantir in 2026: 4,000 employees, 3.7 Glassdoor rating, $150k-$400k comp, Forward Deployed Engineers, and what the intense mission-driven culture is really like inside.

Apr 29, 202610 min read

](https://jobsbyculture.com/blog/working-at-palantir-2026)[🎯 Talent & Hiring

## Employer Branding Strategies for 2026: The Data-Driven Guide for Tech Companies

51% of companies increased employer branding spend in 2026. Here are 7 data-backed strategies to attract top tech talent — from culture profiles to AI search optimization.

Apr 29, 202610 min read

](https://jobsbyculture.com/blog/employer-branding-strategies-2026)[🎯 Talent & Hiring

## How to Attract Senior Engineers in 2026: What Actually Works (And What Doesn't)

1 in 3 engineering roles stays unfilled. Here's what senior engineers actually look for — and 6 proven strategies to attract them in 2026.

Apr 29, 202610 min read

](https://jobsbyculture.com/blog/how-to-attract-engineers-2026)[🎯 Talent & Hiring

## Why Engineers Ignore Your Recruiter Emails (And How to Fix It in 2026)

Engineers get 10-20 recruiter emails a week. Most get ignored. Here's why — and the one change that took one company from 3% to 47% response rates.

Apr 29, 20267 min read

](https://jobsbyculture.com/blog/why-engineers-ignore-recruiter-emails)[🏢 Company Insights

## Working at Elastic in 2026: Culture, Compensation & What Employees Say

Working at Elastic in 2026: ~4,000 employees across 40+ countries, 4.0 Glassdoor rating, fully distributed since founding, open-source DNA, and what employees actually say about the ELK stack company.

Apr 28, 202610 min read

](https://jobsbyculture.com/blog/working-at-elastic-2026)[🏢 Company Insights

## Spotify Engineering Culture 2026: 'Work From Anywhere', 7,300 Employees & Real Salary Data

Spotify's Work From Anywhere policy cut attrition 15%. 7,300 employees, 3.9 Glassdoor, 4.3/5 work-life balance, and $150K-$400K+ engineer comp. How the squad model actually works in 2026.

Apr 28, 202610 min read

](https://jobsbyculture.com/blog/working-at-spotify-2026)[🎤 Interview Prep

## 50 Culture Questions to Ask Your Interviewer in 2026 (By Value)

50 culture questions to ask in any job interview, organized by value: remote/async, work-life balance, engineering-driven, flat hierarchy, and more. Includes what a good vs. bad answer looks like for each.

Apr 27, 2026

](https://jobsbyculture.com/blog/best-culture-questions-to-ask-interviewer-2026)[📈 Industry Trends

## Fastest-Growing Tech Companies Hiring in 2026: Who’s Scaling the Fastest

We ranked 80+ tech companies by hiring intensity — open roles as a % of headcount. Mistral AI leads at 157%, Cursor at 142%. Full data, comparison table, and what hypergrowth actually means for engineers.

Apr 27, 2026

](https://jobsbyculture.com/blog/fastest-growing-tech-companies-2026)[📈 Industry Trends

## Tech Companies with the Highest Employee Retention in 2026

Which tech companies do employees actually stay at? We ranked the top 10 by recommend %, Glassdoor scores, WLB, and culture values that predict retention — from Supabase (100% recommend) to Linear, Anthropic, Plaid, and more.

Apr 27, 2026

](https://jobsbyculture.com/blog/tech-companies-high-retention-2026)[🏢 Company Insights

## Working at Weaviate in 2026: Open-Source Vector DB, Remote Culture & What Employees Say

Working at Weaviate in 2026: ~110 employees, fully remote, 4.3 Glassdoor rating, open-source vector database with 14K+ GitHub stars, $67.7M raised, and what the async-first culture is really like.

Apr 27, 20269 min read

](https://jobsbyculture.com/blog/working-at-weaviate-2026)[📈 Industry Trends

## 10 YC-Funded Companies Hiring 1,300+ Roles in 2026

Stripe, Airbnb, Coinbase, Brex, Instacart, Replit, Supabase, PostHog, LangChain, Pylon — 10 YC-funded companies actively hiring in 2026, ranked by open roles and employee ratings. Supabase tops culture (4.8/5), Stripe leads on volume.

Apr 27, 2026

](https://jobsbyculture.com/blog/yc-funded-companies-hiring-2026)[🏢 Company Insights

## Working at Duolingo in 2026: Culture, Compensation & What Employees Say

Working at Duolingo in 2026: ~900 employees, 4.2 Glassdoor rating, ~138M monthly active users, and what the product-obsessed, A/B-testing culture is really like inside the world's most popular language app.

Apr 27, 20269 min read

](https://jobsbyculture.com/blog/working-at-duolingo-2026)[🏢 Company Insights

## Snowflake in 2026: 9,000 Employees, $361k Median Eng Comp & Culture

Working at Snowflake in 2026: 9,000 employees, 3.7 Glassdoor rating, $237k-$700k+ engineer comp, and what the data cloud culture is really like from the inside.

Apr 26, 20269 min read

](https://jobsbyculture.com/blog/working-at-snowflake-2026)[🏢 Company Insights

## Brex in 2026: ~1,100 Employees, Layoffs, Salary & Culture

Working at Brex in 2026: ~1,100 employees, two rounds of layoffs, 4.0 Glassdoor rating, $223k-$720k engineer comp, and what the AI-first pivot means for the culture inside.

Apr 26, 20269 min read

](https://jobsbyculture.com/blog/working-at-brex-2026)[🚀 Career Growth

## How to Compare Two Job Offers: The 5-Minute Framework (2026)

Compare two job offers in 5 minutes: (1) compute total comp = base + equity/vesting years + bonus + benefits, (2) adjust for cost of living, (3) discount private equity 30-60%, (4) divide by hours worked, (5) score the intangibles. Full framework for engineers in 2026.

Apr 26, 202610 min read

](https://jobsbyculture.com/blog/how-to-compare-job-offers-2026)[💰 Compensation

## 9 No-Income-Tax States for Tech Workers (2026): Save $13K–$26K vs California

The 9 no-state-income-tax states: TX, FL, WA, NV, TN, WY, SD, NH (dividends only), AK. A $200K engineer in Washington saves $13K–$15K vs California; $300K+ total comp saves $26K+. Job markets, cost of living, residency rules, and tax gotchas inside.

Apr 26, 2026

](https://jobsbyculture.com/blog/no-income-tax-states-tech-workers-2026)[💰 Compensation

## RSU vs Stock Options: RSUs Win for Most Engineers in 2026 (Full Tax Breakdown)

Take the RSUs. They vest automatically, are taxed as income on vest, never expire, and skip AMT. Stock options only beat RSUs at early-stage startups where the strike is low and the upside is real. Complete 2026 breakdown of RSU, ISO, NSO, and PPU taxes with worked examples.

Apr 26, 202610 min read

](https://jobsbyculture.com/blog/rsu-vs-stock-options-explained-2026)[💰 Compensation

## SF vs Austin for Engineers: The Real Cost of Living Difference in 2026

SF vs Austin cost of living for engineers in 2026: real numbers on rent, taxes, salary adjustments, and quality of life. $250K in SF vs $250K in Austin — a full monthly budget breakdown.

Apr 26, 2026

](https://jobsbyculture.com/blog/sf-vs-austin-engineers-2026)[🏢 Company Insights

## Databricks Number of Employees 2026: How Many People Work at Databricks?

As of May 2026, Databricks has approximately 12,000–15,000 employees. Full breakdown of Databricks number of employees, headcount growth timeline, departments, offices, and comparison to Snowflake.

Apr 25, 2026

](https://jobsbyculture.com/blog/databricks-employee-count-2026)[🏢 Company Insights

## How Many Employees Does Anthropic Have in 2026? (~5,000)

Anthropic has roughly 5,000 employees as of 2026 — up from ~800 in early 2024 and 400 in 2023. Below: the methodology, growth timeline, department mix, office locations, and how Anthropic compares to OpenAI and DeepMind.

Apr 25, 2026

](https://jobsbyculture.com/blog/anthropic-employee-count-2026)[🏢 Company Insights

## Working at Coinbase 2026: Remote-First, $150K-$400K Salaries & What 3.7★ on Glassdoor Really Means

Coinbase is genuinely remote-first (95% of roles). $150K-$400K+ engineer comp, but a 2.9/5 work-life balance score and two 2022-2023 layoff rounds shape the culture. ~4,300 employees (Apr 2026), 131 open roles. The honest trade-offs.

Apr 25, 20269 min read

](https://jobsbyculture.com/blog/working-at-coinbase-2026)[🏢 Company Insights

## Baseten in 2026: $5B Valuation, ~100 Employees, Salary & Culture

Working at Baseten in 2026: ~100 employees, $5B Series E valuation (talks reported for an $11B round), ML inference infrastructure, and what it's really like inside the hottest AI infrastructure startup.

Apr 25, 20269 min read

](https://jobsbyculture.com/blog/working-at-baseten-2026)[🏢 Company Insights

## Cursor Has ~200 Employees and a $60B Valuation

Cursor (Anysphere) has just 50-300 employees but a $60B+ valuation — possibly the highest revenue-per-employee ratio in tech history. Full headcount breakdown and how it compares to Copilot.

Apr 25, 2026

](https://jobsbyculture.com/blog/cursor-employee-count-2026)[🏢 Company Insights

## Google DeepMind Has ~5,600 Employees in 2026 (Up From 2,500 Pre-Merger)

Google DeepMind has approximately 5,600 employees in 2026 — more than double the 2,500 it had before the April 2023 Google Brain merger. Breakdown by office, hiring posture, and how it compares to OpenAI and Anthropic.

Apr 25, 2026

](https://jobsbyculture.com/blog/deepmind-employee-count-2026)[🏢 Company Insights

## How Many Employees Does Figma Have in 2026?

Figma has approximately 1,900 employees in 2026, now a public company after its landmark IPO and the collapse of Adobe's $20B acquisition attempt. Full headcount history and what it means for candidates.

Apr 25, 2026

](https://jobsbyculture.com/blog/figma-employee-count-2026)[🏢 Company Insights

## Notion Has ~4,800 Employees in 2026

Notion has approximately 4,800 employees in 2026 — deliberately lean for a $10B valuation and 100M+ users. Engineering is the largest team at ~374. Full breakdown of headcount, locations, and what it means for candidates.

Apr 25, 2026

](https://jobsbyculture.com/blog/notion-employee-count-2026)[🏢 Company Insights

## Perplexity AI Has ~1,449 Employees in 2026 (Up From 310 a Year Ago)

Perplexity AI has approximately 1,449 employees as of April 2026, up from ~310 a year earlier — a 4.7x jump. Inside the $22.6B AI search company's headcount, structure, and hiring trajectory.

Apr 25, 2026

](https://jobsbyculture.com/blog/perplexity-employee-count-2026)[🏢 Company Insights

## How Many Employees Does Scale AI Have in 2026?

Scale AI has approximately 1,200 full-time employees in 2026, with a $29B valuation and major U.S. defense contracts. Full headcount breakdown, context on government work, and what it means for candidates.

Apr 25, 2026

](https://jobsbyculture.com/blog/scale-ai-employee-count-2026)[🏢 Company Insights

## How Many Employees Does Stripe Have in 2026?

Stripe has approximately 8,000 employees in 2026, rebuilding after cutting 14% of its workforce in 2022. Full headcount history, fintech peer comparison, and what it means for job seekers.

Apr 25, 2026

](https://jobsbyculture.com/blog/stripe-employee-count-2026)[🏢 Company Insights

## How Many Employees Does OpenAI Have in 2026?

OpenAI has approximately 7,000+ employees as of 2026, with plans to reach 8,000 by year-end. Full headcount breakdown by department, office locations, and comparison to Anthropic, Google DeepMind, and other AI labs.

Apr 25, 2026

](https://jobsbyculture.com/blog/openai-employee-count-2026)[🏢 Company Insights

## Mercury in 2026: The Fintech That Bet Everything on Haskell — Culture, Salary & What Employees Say

Working at Mercury in 2026: ~1,300 employees, millions of lines of Haskell, 4.4 Glassdoor rating, $138K-$370K engineer comp, and what the product-first culture is really like inside the startup banking platform.

Apr 24, 20269 min read

](https://jobsbyculture.com/blog/working-at-mercury-2026)[🏢 Company Insights

## Working at Pinecone in 2026: Culture, Compensation & What Employees Say

Working at Pinecone in 2026: ~130 employees, 4.2 Glassdoor rating, $130K-$305K total comp, fully remote, and what it's really like inside the company that built the vector database category.

Apr 24, 20269 min read

](https://jobsbyculture.com/blog/working-at-pinecone-2026)[📈 Industry Trends

## Anthropic Layoffs 2026: None. Hypergrowth, $380B+ Valuation, ~$30B ARR

No. Anthropic has had zero layoffs in 2026. The company is in hypergrowth: ~2,300+ employees, hundreds of open roles, $380B+ valuation (Series G), ~$30B ARR run rate. Updated June 2026 with live data.

Apr 23, 2026

](https://jobsbyculture.com/blog/anthropic-layoffs-2026)[🏢 Company Insights

## Stripe Remote Work Policy 2026: Hybrid, Offices & What Employees Actually Say

Is Stripe remote-friendly in 2026? ~40% of 8,000 employees are remote, but office-assigned staff spend 50% of time on-site. We break down the hybrid policy, office locations, and what employees really say.

Apr 23, 2026

](https://jobsbyculture.com/blog/stripe-remote-work-policy-2026)[🏢 Company Insights

## OpenAI Remote Work 2026: We Checked 681 Roles

We analyzed every OpenAI job posting: just 28 of 681 roles (4%) are remote. Sam Altman called remote work 'a mistake.' The real hybrid policy, office locations, and which teams allow remote.

Apr 23, 2026

](https://jobsbyculture.com/blog/openai-remote-work-policy-2026)[📈 Industry Trends

## Plaid Layoffs 2026: What Happened, Recovery & Is Plaid Hiring?

Plaid cut 20% of staff (260 people) in December 2022. In 2026 they've reached profitability, raised $575M at a $6B+ valuation, and have ~113 open roles. Full layoff timeline and recovery story.

Apr 23, 2026

](https://jobsbyculture.com/blog/plaid-layoffs-2026)[📈 Industry Trends

## Cursor Layoffs 2026: Is Anysphere Hiring or Cutting Jobs?

No layoffs at Cursor in 2026. Anysphere is in hypergrowth: $2B ARR, $50B valuation, 113 open roles, ~50 employees. Full hiring breakdown and what to expect applying now.

Apr 23, 2026

](https://jobsbyculture.com/blog/cursor-layoffs-2026)[🏢 Company Insights

## Working at PostHog in 2026: Open-Source Culture, Remote-First & What Employees Say

Working at PostHog in 2026: ~200 employees across 30+ countries, 4.3 Glassdoor rating, open-source product analytics with 70k+ GitHub stars, and what the radically transparent culture is actually like.

Apr 23, 202610 min read

](https://jobsbyculture.com/blog/working-at-posthog-2026)[📈 Industry Trends

## Vercel Layoffs 2026: What Happened, Hiring Status & Is Vercel Worth Joining?

Vercel replaced its 10-person sales team with AI in 2025 and has had layoffs amid rapid growth. In 2026: ~600 employees, 67 open roles, $340M ARR, and IPO signals. Full story inside.

Apr 23, 2026

](https://jobsbyculture.com/blog/vercel-layoffs-2026)[📈 Industry Trends

## Linear Layoffs 2026: Has Linear Ever Had Layoffs? Hiring Status & Team Size

Has Linear ever had layoffs? The $1.25B project management startup has ~80–100 employees, 24 open roles, and has never conducted a layoff. Full hiring status and culture breakdown for 2026.

Apr 23, 2026

](https://jobsbyculture.com/blog/linear-layoffs-2026)[🏢 Company Insights

## Cursor Remote Work Policy 2026: 100% In-Person

Is Cursor (Anysphere) remote-friendly in 2026? No — every role requires in-person work at their San Francisco office. Here's the real policy, why they're office-only, and how it compares to OpenAI, Anthropic, Linear, and Vercel.

Apr 23, 2026

](https://jobsbyculture.com/blog/cursor-remote-work-policy-2026)[📈 Industry Trends

## Databricks Layoffs 2026: No Mass Cuts, 840+ Open Roles & Pre-IPO Hiring Surge

Databricks has not had mass layoffs in 2026. With $134B valuation, 840+ open roles, and a pre-IPO push, here's what to know before applying — including role cuts, culture, and how it compares to Snowflake.

Apr 23, 2026

](https://jobsbyculture.com/blog/databricks-layoffs-2026)[🏢 Company Insights

## Databricks Remote Work Policy 2026: Hybrid-First With Strict RTO (Real Data)

Is Databricks remote-friendly in 2026? We analyzed open roles and employee reviews: most engineers need 3 days in-office with badge tracking. Here's the real Databricks remote work policy, office locations, and what employees say.

Apr 23, 2026

](https://jobsbyculture.com/blog/databricks-remote-work-policy-2026)[📈 Industry Trends

## Google DeepMind Layoffs 2026: Shielded from Google Cuts? Hiring Status & Culture

Google has run rolling 2026 layoffs across Platforms & Devices, Search quality, and contractor-staffed AI rating programs, but DeepMind has been largely shielded. DeepMind is actively hiring. Full timeline of the Google Brain merger, restructuring, and what employees say now.

Apr 23, 2026

](https://jobsbyculture.com/blog/deepmind-layoffs-2026)[🏢 Company Insights

## Google DeepMind Remote Work Policy 2026: 3-Day Hybrid Mandate Explained

Is Google DeepMind remote-friendly in 2026? Google's 3-day hybrid mandate applies to DeepMind. We cover the real policy, London vs Mountain View flexibility, and what researchers actually say.

Apr 23, 2026

](https://jobsbyculture.com/blog/deepmind-remote-work-policy-2026)[🏢 Company Insights

## Linear Remote Work Policy 2026: Genuinely Remote-First, Async by Design

Is Linear remote-friendly in 2026? Yes — and it's one of the rare companies that actually means it. 99 people across 15+ countries, no standups, async-first. Here's the full remote work policy, team structure, and what employees say.

Apr 23, 2026

](https://jobsbyculture.com/blog/linear-remote-work-policy-2026)[🏢 Company Insights

## Plaid Remote Work Policy 2026: Hybrid-First with Growing Office Pressure (Real Data)

Is Plaid remote-friendly in 2026? We analyzed all open roles and employee reviews: Plaid is moving toward mandatory hybrid (2–3 days/week) for SF and NYC employees. Here's the real policy, office locations, and what employees actually say.

Apr 23, 2026

](https://jobsbyculture.com/blog/plaid-remote-work-policy-2026)[📈 Industry Trends

## Runway Layoffs 2026: No Cuts

Runway (AI video) has not had layoffs in 2026. The company raised $315M in February 2026 at a $5.3B valuation and is aggressively hiring. Full hiring status, culture ratings, and competitive landscape.

Apr 23, 2026

](https://jobsbyculture.com/blog/runway-layoffs-2026)[🏢 Company Insights

## Runway Remote Work Policy 2026: Is Runway ML Actually Remote Friendly?

Is Runway ML remote-friendly in 2026? We analyzed open roles and Glassdoor reviews: NYC is the center of gravity despite a “remote-first” label. Here’s the real policy, office locations, and what employees say.

Apr 23, 2026

](https://jobsbyculture.com/blog/runway-remote-work-policy-2026)[🏢 Company Insights

## Vercel Remote Work Policy 2026: Distributed-First, But With Anchor Days

Is Vercel remote-friendly in 2026? We analyzed all open roles and Glassdoor reviews: distributed-first culture with hybrid anchor days near SF, NY, London, and Berlin offices. Here's the full picture.

Apr 23, 2026

](https://jobsbyculture.com/blog/vercel-remote-work-policy-2026)[🏢 Company Insights

## Working at Chainguard in 2026: The Security Unicorn Making Open Source Safe by Default

Working at Chainguard in 2026: roughly 500-650 employees, $3.5B valuation, 4.4 Glassdoor rating, fully remote, and what happens when ex-Google open-source engineers build a security company from scratch.

Apr 23, 202610 min read

](https://jobsbyculture.com/blog/working-at-chainguard-2026)[📈 Industry Trends

## OpenAI Layoffs 2026: Zero Mass Cuts, 3 Execs Gone

OpenAI has never done mass layoffs. But 3 execs left in one day, the CTO quit, and the safety team walked out. Yet they're hiring 681 roles and growing to 8,000. Is it stable? Real data inside.

Apr 23, 2026

](https://jobsbyculture.com/blog/openai-layoffs-2026)[💰 Compensation

## Stripe Salary 2026: $208K–$860K TC, Pre-IPO Equity & How It Compares

Stripe compensation in 2026: $208K-$860K total comp for engineers, with pre-IPO RSUs at a $159B valuation. Real compensation data from verified reports, RSU vesting, benefits, and how it compares to Plaid, Brex, Airbnb, and OpenAI.

Apr 22, 2026

](https://jobsbyculture.com/blog/stripe-compensation-2026)[💰 Compensation

## Databricks Salary 2026: $253K–$1.65M TC, Pre-IPO Equity & How It Compares

Databricks compensation in 2026: $253K-$1.65M total comp for engineers at a $134B valuation. Real compensation data from verified reports, RSU vesting, IPO timeline, and how it compares to Snowflake, OpenAI, Google, and Stripe.

Apr 22, 2026

](https://jobsbyculture.com/blog/databricks-compensation-2026)[💰 Compensation

## Cursor (Anysphere) Salary 2026: $808K–$1.28M TC, Equity & How It Compares

Cursor (Anysphere) compensation in 2026: $808K–$1.28M total comp for engineers, with equity at a $29B+ valuation. Real compensation data from verified reports, equity structure, benefits, and how it compares to Anthropic, OpenAI, Vercel, and Linear.

Apr 22, 2026

](https://jobsbyculture.com/blog/cursor-compensation-2026)[💰 Compensation

## OpenAI Salary 2026: $249K–$1.28M TC, PPU Equity & How It Compares

OpenAI compensation in 2026: $249K-$1.28M total comp for engineers, with PPU equity grants worth $500K+/year at senior levels. Real compensation data from verified reports, PPU vesting, and how it compares to Anthropic, DeepMind, and Stripe.

Apr 22, 2026

](https://jobsbyculture.com/blog/openai-compensation-2026)[🏢 Company Insights

## Scale AI Culture 2026: $29B Valuation, 2.7 Work-Life Balance

Scale AI is worth $29B but has a 2.7/5 work-life balance score — one of the lowest in AI. 1,200 employees, $300M+ DoD contracts, and what 400+ reviews say about the Alexandr Wang grind culture.

Apr 22, 20268 min read

](https://jobsbyculture.com/blog/working-at-scale-ai-2026)[🤖 AI Skills

## Working at LangChain in 2026: Open-Source Unicorn, Culture & What Developers Say

Working at LangChain in 2026: ~280 employees, $1.25B valuation, 100k+ GitHub stars, and what it's really like building the open-source framework behind most LLM applications.

Apr 22, 20267 min read

](https://jobsbyculture.com/blog/working-at-langchain-2026)[💰 Compensation

## Google DeepMind Salary 2026: $300K–$500K TC, Google RSUs & How It Compares

Google DeepMind compensation in 2026: $300K-$500K total comp for engineers, with publicly-traded Google RSUs that are immediately liquid. Real compensation data from verified reports, Google leveling, benefits, and how it compares to OpenAI, Anthropic, and Meta FAIR.

Apr 22, 2026

](https://jobsbyculture.com/blog/deepmind-compensation-2026)[💰 Compensation

## Linear Salary 2026: $160K–$386K TC, Equity & How It Compares to Notion & Figma

Linear compensation in 2026: $160K–$386K total comp for engineers, above-market equity at a $1.25B valuation, and how it compares to Notion, Figma, Vercel, and PostHog. Real compensation data from verified reports for a tiny 100-person team.

Apr 22, 2026

](https://jobsbyculture.com/blog/linear-compensation-2026)[💰 Compensation

## Plaid Salary 2026: $239K–$978K TC, Pre-IPO Equity & How It Compares to Stripe

Plaid compensation in 2026: $239K-$978K total comp for engineers, with RSU equity at an $8B valuation. Real compensation data from verified reports by level, vesting schedule, and how Plaid compares to Stripe, Brex, Ramp, and Mercury.

Apr 22, 2026

](https://jobsbyculture.com/blog/plaid-compensation-2026)[💰 Compensation

## Runway Salary 2026: $240K–$370K TC, Equity & How It Compares to ElevenLabs & Synthesia

Runway ML compensation in 2026: $240K-$370K total comp for engineers, with equity grants at a $5.3B valuation. Real verified compensation reports and Glassdoor data, role breakdowns, and how it compares to ElevenLabs, Synthesia, Pika, and OpenAI Sora.

Apr 22, 2026

](https://jobsbyculture.com/blog/runway-compensation-2026)[💰 Compensation

## Vercel Salary 2026: $165K–$316K TC, Equity & How It Compares to Netlify, Cloudflare & Figma

Vercel compensation in 2026: $165K-$316K+ total comp for engineers, with a median of $190K. Real compensation data from verified reports, equity structure, benefits breakdown, and how it compares to Netlify, Cloudflare, Supabase, and Figma.

Apr 22, 2026

](https://jobsbyculture.com/blog/vercel-compensation-2026)[🏢 Company Insights

## Working at Vanta in 2026: Top Pay, Low WLB & What 200 Reviews Say

Working at Vanta in 2026: 1,766 employees, 3.3 Glassdoor rating (down from 3.5), 3.0 WLB, $254k-$386k engineer comp, and what 212 reviews reveal about the compliance unicorn's high-intensity culture.

Apr 21, 20267 min read

](https://jobsbyculture.com/blog/working-at-vanta-2026)[🏢 Company Insights

## Working at Glean in 2026: Culture, Compensation & What Engineers Say

Working at Glean in 2026: 1,625 employees, 3.8 Glassdoor rating, $207k median comp, and what engineers really say about the AI enterprise search company founded by ex-Google leadership.

Apr 21, 20269 min read

](https://jobsbyculture.com/blog/working-at-glean-2026)[🏢 Company Insights

## Working at Twilio in 2026: Remote Culture, Salary, Reorgs & What Employees Say

Working at Twilio in 2026: 5,500 employees, 3.9 Glassdoor rating, remote-first Open Work policy, strong comp (4.2/5), and what employees really say about the reorgs and culture shift.

Apr 20, 20269 min read

](https://jobsbyculture.com/blog/working-at-twilio-2026)[🏢 Company Insights

## Working at Abridge in 2026: Culture, Compensation & What Employees Say

Working at Abridge in 2026: ~500 employees, 4.7 Glassdoor rating, $5.3B valuation, and what employees say about the mission-driven AI healthcare culture.

Apr 20, 202610 min read

](https://jobsbyculture.com/blog/working-at-abridge-2026)[🏢 Company Insights

## Working at Hugging Face in 2026: Culture, Compensation & Open-Source DNA

Working at Hugging Face in 2026: ~635 employees, 4.4 Glassdoor rating, remote-first culture, open-source DNA, and what employees actually say about the canonical AI company.

Apr 20, 202610 min read

](https://jobsbyculture.com/blog/working-at-huggingface-2026)[🏢 Company Insights

## Working at MongoDB in 2026: Culture, Compensation & What Employees Say

Working at MongoDB in 2026: 5,500 employees, 4.0 Glassdoor rating, $2.46B revenue, strong equity (MDB stock), and what employees say about the engineering culture and missing 401k match.

Apr 20, 202610 min read

](https://jobsbyculture.com/blog/working-at-mongodb-2026)[🏢 Company Insights

## Working at Notion in 2026: Culture, Compensation & What Employees Say

Working at Notion in 2026: ~800-1,000 employees, $11B valuation (Jan 2026 secondary tender), 4.3 Glassdoor rating, $201K-$735K engineer comp, hybrid culture, and what employees really think about working at the all-in-one workspace company.

Apr 19, 202610 min read

](https://jobsbyculture.com/blog/working-at-notion-2026)[🏢 Company Insights

## Working at GitLab in 2026: The All-Remote Pioneer's Culture, Salary & Reviews

Working at GitLab in 2026: ~2,375 employees (pre-2026 restructuring) across 67+ countries, 3.6 Glassdoor rating, fully remote since day one, and what employees say about the handbook-driven culture.

Apr 19, 202611 min read

](https://jobsbyculture.com/blog/working-at-gitlab-2026)[🏢 Company Insights

## n8n in 2026: ~300 Employees, 4.5 Glassdoor, Open-Source Culture

Working at n8n in 2026: ~300 employees, 4.5 Glassdoor rating, $40M ARR, remote-first from Berlin. The open-source workflow automation company with 70k+ GitHub stars and one of the highest ratings in tech.

Apr 18, 20269 min read

](https://jobsbyculture.com/blog/working-at-n8n-2026)[🏢 Company Insights

## ElevenLabs in 2026: ~880 Employees, Remote-First, Salary & Culture

Working at ElevenLabs in 2026: ~880 employees, remote-first across 30+ countries, 4.3 Glassdoor (37 reviews), AI voice synthesis pioneers, and what the intense ship-fast culture is really like inside.

Apr 18, 20269 min read

](https://jobsbyculture.com/blog/working-at-elevenlabs-2026)[🏢 Company Insights

## Working at Ramp in 2026: Culture, Compensation & What Employees Say

Working at Ramp in 2026: ~2,400 employees, 4.1 Glassdoor rating, $44B valuation, top-tier comp, and what employees say about the intense builder culture.

Apr 17, 20269 min read

](https://jobsbyculture.com/blog/working-at-ramp-2026)[🏢 Company Insights

## Working at Replit in 2026: Culture, Compensation & What Employees Say

Working at Replit in 2026: ~200 employees, 4.0 Glassdoor rating, AI code editor mission, and what employees actually say about the ship-fast culture.

Apr 17, 202610 min read

](https://jobsbyculture.com/blog/working-at-replit-2026)[🏢 Company Insights

## Decagon in 2026: $4.5B AI Agents Startup, 300+ Employees, Salary & Culture

Working at Decagon in 2026: 300+ employees, Series D at $4.5B, 3.9 Glassdoor rating, intense builder culture, and what the AI customer support unicorn is really like inside.

Apr 16, 20268 min read

](https://jobsbyculture.com/blog/working-at-decagon-2026)[🏢 Company Insights

## Granola in 2026: $1.5B AI Notes Startup, 50 Employees, Salary & Culture

Working at Granola in 2026: 50 employees, Series C at $1.5B, 4.8 Glassdoor rating, London office, and what the AI meeting notes startup is really like inside.

Apr 16, 20268 min read

](https://jobsbyculture.com/blog/working-at-granola-2026)[🎉 Workplace Moments

## 7 Best Free Appreciation Cards for Coworkers (2026)

Compare the 7 best free appreciation cards for coworkers in 2026. Find the top platforms for group appreciation cards online free — create an appreciation card for a colleague in 30 seconds.

Apr 11, 2026

](https://jobsbyculture.com/blog/best-appreciation-cards-for-coworkers)[🎉 Workplace Moments

## Best Free Birthday Card for a Coworker in 2026: Culture Cards Wins on Free (7 Compared)

Culture Cards is the best free birthday card for coworkers in 2026 — unlimited signers, no account, no watermark, no signer cap. Kudoboard's demo board is capped at 5 posts and cannot be delivered to recipients; paid plans start at $5.99. Thankbox watermarks the free tier; GroupGreeting has no real free tier. Full 7-platform comparison plus 25 message examples.

Apr 11, 202610 min read

](https://jobsbyculture.com/blog/best-birthday-cards-for-coworkers)[🎉 Workplace Moments

## Best Free Farewell Card for Coworkers in 2026: Culture Cards Wins on the Free Tier (7 Compared)

Culture Cards is the best free farewell card for coworkers in 2026 — unlimited signers, no account needed, no watermark. Kudoboard caps the free tier at 10 posts; GroupGreeting has no real free tier; Canva handles group signing through shared canvas editing rather than a dedicated signing flow. Here’s the full 7-platform comparison.

Apr 11, 202612 min read

](https://jobsbyculture.com/blog/best-farewell-cards-for-coworkers)[🎉 Workplace Moments

## Best Free Welcome Card for a New Employee (2026): Culture Cards Wins on Free

Culture Cards is the best free welcome card for new employees in 2026 — unlimited signers, no account, no watermark. Kudoboard's free demo caps at 5 posts and cannot be delivered to recipients; Thankbox watermarks free cards; GroupGreeting has no real free tier. Full 7-platform comparison, plus what to write inside.

Apr 11, 202612 min read

](https://jobsbyculture.com/blog/best-welcome-cards-for-new-employees)[🏢 Company Insights

## Cursor vs Cognition AI (Devin): AI Coding Tools Compared 2026

Cursor (Anysphere) vs Cognition AI (Devin) compared — funding, culture, compensation, product approach, and who should work where. Updated April 2026.

Apr 11, 202610 min read

](https://jobsbyculture.com/blog/cursor-vs-cognition-2026)[🏢 Company Insights

## Working at Cursor (Anysphere) in 2026: ~300 Employees, $2B ARR, Salary & Culture

Working at Cursor in 2026: roughly 300 employees, $2B ARR, 4.7 Glassdoor rating, $808K-$1.1M+ engineer comp, and what the in-person, ship-fast culture is really like inside the hottest AI startup.

Apr 11, 202610 min read

](https://jobsbyculture.com/blog/working-at-cursor-2026)[🏢 Company Insights

## Working at Harvey AI in 2026: $11B Valuation, $330K+ Comp, Culture & Reviews

Working at Harvey AI in 2026: ~350 employees, $11B valuation, $190M ARR, 4.3 Glassdoor rating, $330K+ engineer comp, and what the intense legal-AI culture is really like inside the company.

Apr 11, 20269 min read

](https://jobsbyculture.com/blog/working-at-harvey-ai-2026)[🏢 Company Insights

## Working at Linear in 2026: 203 Employees, $100M ARR, Salary & Culture

Working at Linear in 2026: 203 employees, $100M ARR, remote-first, estimated 4.3 Glassdoor rating, $205K-$420K engineer comp, and what the deep-work engineering culture is really like.

Apr 11, 20269 min read

](https://jobsbyculture.com/blog/working-at-linear-2026)[🏢 Company Insights

## Working at Lovable in 2026: Culture, Salary & What Employees Say

Working at Lovable in 2026: 146 employees, $400M+ ARR, $6.6B valuation, ~3.5 Glassdoor rating, and what the intense ship-fast culture is really like inside the fastest-growing SaaS startup.

Apr 11, 20269 min read

](https://jobsbyculture.com/blog/working-at-lovable-2026)[🎉 Workplace Moments

## 120+ Retirement Messages for a Coworker (Heartfelt, Funny & Professional)

120+ retirement messages for a coworker — heartfelt, funny, and professional. Copy and paste into a group retirement card. Organized by tone with tips for writing the perfect message.

Apr 10, 20268 min read

](https://jobsbyculture.com/blog/retirement-messages-for-coworker)[🎉 Workplace Moments

## 100+ Wedding Congratulations for a Coworker (Sweet, Funny & Professional)

100+ wedding congratulations messages for a coworker — sweet, funny, and professional. Copy and paste into a group wedding card. Includes tips on what to write (and what to skip).

Apr 10, 202614 min read

](https://jobsbyculture.com/blog/wedding-congratulations-for-coworker)[🎉 Workplace Moments

## 100+ Welcome Messages for a New Team Member (Warm, Funny & Professional)

100+ copy-paste welcome messages for a new team member, sorted by tone — warm, funny, professional, remote-friendly, and manager-to-report. Pick one, swap in the name, send. Best formula: name one specific thing you're glad they're joining for.

Apr 10, 20269 min read

](https://jobsbyculture.com/blog/welcome-messages-for-new-team-member)[🎉 Workplace Moments

## 120+ Work Anniversary Messages for a Coworker (Copy-Paste, By Year, 2026)

120+ copy-paste work anniversary messages for a coworker — sorted by milestone (1, 3, 5, 10, 20+ years) and tone (heartfelt, funny, professional). Pick one, swap the name, send. Best formula: name something specific they did, then 'here's to many more.'

Apr 10, 202614 min read

](https://jobsbyculture.com/blog/work-anniversary-messages-for-coworker)[🎉 Workplace Moments

## 100 Birthday Wishes for a Coworker (Copy-Paste, by Tone, 2026)

100 copy-paste birthday wishes for a coworker — sorted by tone (professional, funny, heartfelt, short) and situation (boss, remote teammate, group card). Pick one, swap the name, send. Best formula: name one specific thing you like about working with them.

Apr 6, 202610 min read

](https://jobsbyculture.com/blog/birthday-wishes-for-coworker)[🎉 Workplace Moments

## 120 Best Farewell Messages for Colleagues (2026)

120 heartfelt farewell messages for colleagues — organized by tone (heartfelt, funny, professional, short). Copy and paste into a group farewell card.

Apr 6, 202612 min read

](https://jobsbyculture.com/blog/farewell-messages-for-colleagues)[🎉 Workplace Moments

## Group Greeting Cards Online Free

Free group greeting cards online for the office. Compare the 7 best group greeting card platforms — send a group greeting with unlimited signers, no account needed. Create a free group card in 30 seconds.

Apr 6, 202610 min read

](https://jobsbyculture.com/blog/free-online-group-greeting-cards)[🎉 Workplace Moments

## How to Add a GIF to a Group Greeting Card (Step-by-Step Guide)

Learn how to add GIFs to your group greeting card using the built-in GIPHY search. Step-by-step guide with screenshots. Free to search, premium to attach.

Apr 5, 20264 min read

](https://jobsbyculture.com/blog/how-to-add-gif-to-group-greeting-card)[🚀 Career Growth

## What Is Company Culture? It's What People Do When Nobody's Telling Them To (2026)

Company culture is what people do when nobody is telling them what to do — the behaviors a company rewards, the behaviors it punishes, the worst behavior it tolerates. Here's the framework engineers actually use to evaluate it before joining.

Apr 5, 202614 min read

](https://jobsbyculture.com/blog/what-is-company-culture)[🏢 Company Insights

## Anthropic vs OpenAI in 2026: Revenue, Culture, Compensation & Who's Hiring

Anthropic vs OpenAI in 2026: $19B vs $25B revenue, $380B vs $852B valuations, culture values compared, compensation ($300-490K vs $350-550K), safety records, and 409 open roles between them.

Apr 4, 202610 min read

](https://jobsbyculture.com/blog/anthropic-vs-openai-2026)[🏢 Company Insights

## Anthropic in 2026: $19B ARR, $380B Valuation, and 409 Open Roles

Anthropic hit $19B ARR in March 2026 — up 1,800% YoY. With a $380B valuation, 409 open roles across 16 cities, and IPO prep underway, here's the full breakdown of revenue, hiring, culture, and equity opportunity.

Apr 2, 20269 min read

](https://jobsbyculture.com/blog/anthropic-2026-19b-arr-jobs)[📈 Industry Trends

## AI Layoffs 2026: 61,000+ Jobs Cut

13,801 live AI & tech roles open right now across 118 companies — Databricks (756), OpenAI (715), Stripe (474), Anthropic (370) and more. Yes, 90K were laid off in Q1 2026. Here's where the jobs actually are.

Apr 2, 2026

](https://jobsbyculture.com/blog/ai-layoffs-2026-who-is-hiring)[📈 Industry Trends

## The RTO Wave Is Real: 14 Companies That Are Still Genuinely Remote in 2026

Microsoft, Amazon, Instagram all mandating return-to-office. But 14 companies on JobsByCulture are still genuinely remote-first in 2026 — with 956 open roles. Here's who they are and how to verify.

Apr 2, 20268 min read

](https://jobsbyculture.com/blog/remote-vs-rto-2026)[🏢 Company Insights

## OpenAI's $122B Round: What It Means for AI Jobs & Who's Hiring

OpenAI closed a $122B round at $852B valuation. They're doubling to 8,000 employees. Here's what it means for AI jobs, the IPO timeline, the culture trade-off, and who else is hiring.

Apr 2, 20269 min read

](https://jobsbyculture.com/blog/openai-122b-funding-ai-jobs-2026)[📈 Industry Trends

## Oracle Layoffs 2026: 30,000 Jobs Cut

Oracle laid off 20,000-30,000 employees in March 2026 (~18% of workforce) to fund a $156B AI buildout. Here's what happened, what Oracle's culture was really like, and where to find better roles now.

Apr 1, 2026

](https://jobsbyculture.com/blog/oracle-layoffs-2026)[🎤 Interview Prep

## 15 Questions to Ask Databricks in Your Interview (Culture-Based)

Interviewing at Databricks? Ask these 15 culture-specific questions to evaluate open-source DNA, engineering culture, growth challenges, career development, and IPO equity — based on real Glassdoor data.

Mar 31, 20267 min read

](https://jobsbyculture.com/blog/questions-to-ask-databricks-interview)[🎤 Interview Prep

## 15 Questions to Ask Google DeepMind in Your Interview (Culture-Based)

Interviewing at Google DeepMind? Ask these 15 culture-specific questions to evaluate research culture, merger dynamics, Google bureaucracy, WLB, ethical AI, and compensation — based on real Glassdoor data.

Mar 31, 20268 min read

](https://jobsbyculture.com/blog/questions-to-ask-deepmind-interview)[🎤 Interview Prep

## 15 Questions to Ask OpenAI in Your Interview (Culture-Based)

Interviewing at OpenAI? Ask these 15 culture-specific questions about the nonprofit-to-profit shift, work intensity (WLB 3.6), safety team departures, equity structure, and internal politics — based on real Glassdoor data.

Mar 31, 20268 min read

](https://jobsbyculture.com/blog/questions-to-ask-openai-interview)[🎤 Interview Prep

## 15 Questions to Ask Stripe in Your Interview (Culture-Based)

Interviewing at Stripe? Ask these 15 culture-specific questions to evaluate engineering bar, work intensity, transparency, career growth, and compensation — based on real Glassdoor data.

Mar 31, 20268 min read

](https://jobsbyculture.com/blog/questions-to-ask-stripe-interview)[🏢 Company Insights

## Grafana Labs Culture in 2026: How It Compares to Supabase, Figma, LangChain, Hugging Face & Databricks

Grafana Labs has a 4.1 Glassdoor with 4.3 WLB and $9B valuation. We compare its culture to Supabase, Figma, LangChain, Hugging Face and Databricks — ratings, WLB, compensation, remote policies, and real employee reviews.

Mar 30, 2026

](https://jobsbyculture.com/blog/grafana-labs-culture-comparison-2026)[🎤 Interview Prep

## 15 Questions to Ask Anthropic in Your Interview (Culture-Based)

Interviewing at Anthropic? Ask these 15 culture-specific questions to evaluate AI safety mission, work intensity, career growth, remote policy, and engineering autonomy — based on real Glassdoor data.

Mar 30, 20267 min read

](https://jobsbyculture.com/blog/questions-to-ask-anthropic-interview)[🏢 Company Insights

## Working at Figma in 2026: 3.7 Glassdoor, $510K Comp, 3.1 WLB

Working at Figma in 2026: 3.7 Glassdoor, 3.1 WLB, $510K senior TC. Product universally loved; reviews mention 996 hours, five managers in two years, and a fear-of-finger-pointing culture. The unfiltered breakdown.

Mar 29, 2026

](https://jobsbyculture.com/blog/working-at-figma-2026)[💰 Compensation

## Anthropic Salary 2026: $300k–$759k Engineer Total Comp Breakdown

Anthropic engineer total comp in 2026 ranges $300k–$759k. Median TC $443k. Senior SWEs $550k–$759k. Inside: per-level base ranges, RSU vesting at $965B valuation, tender-event liquidity, bonus structure, and how it stacks vs OpenAI and Stripe.

Mar 28, 2026

](https://jobsbyculture.com/blog/anthropic-compensation-2026)[🏢 Company Insights

## Working at HubSpot in 2026: 3.4 Glassdoor, 3.5 WLB, Remote-First

Working at HubSpot in 2026: 3.4 Glassdoor (55% recommend), 3.5 work-life balance, remote-first across 8,500+ employees. What the Culture Code actually looks like in practice — and where it strains under enterprise sales pressure.

Mar 28, 2026

](https://jobsbyculture.com/blog/working-at-hubspot-2026)[📈 Industry Trends

## AI Employer Brand Benchmarks 2026: Median 4.2 Glassdoor, 3.8 WLB Across 118 Companies

Median Glassdoor rating across 118 AI & tech companies in 2026 is 4.2; median work-life balance is 3.8. Where your company should land, the top 10, and the patterns that separate talent magnets from the rest.

Mar 28, 2026

](https://jobsbyculture.com/blog/employer-brand-benchmarks-ai-2026)[📈 Industry Trends

## AI Jobs in Paris 2026: 170 Roles at Mistral, Datadog, Hugging Face & 10 More Companies

170 AI & tech jobs in Paris from 13 companies including Mistral AI (45 roles), Datadog (55), Databricks (24), and Hugging Face. Salary data, company culture ratings, and how to land an AI job in Europe's AI capital.

Mar 28, 20268 min read

](https://jobsbyculture.com/blog/ai-jobs-paris-2026)[📈 Industry Trends

## AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)

We analyzed 7,083 open roles across 45 AI companies. Mistral AI is hiring at ~18% of headcount. Databricks leads with 836 roles. Full hiring intensity rankings, role demand data, and what it means for recruiters.

Mar 28, 2026

](https://jobsbyculture.com/blog/ai-hiring-trends-2026)[📈 Industry Trends

## Stripe Layoffs 2026: None. 510 Open Roles, $159B Valuation, $1.9T Payment Volume

No layoffs at Stripe in 2026. The company is actively hiring 481 roles, hit a $159B valuation, processed $1.9T in payments, and shipped 288 products at Sessions. Past layoffs (2022, Jan 2025) explained. Updated June 2026.

Mar 26, 2026

](https://jobsbyculture.com/blog/stripe-layoffs-2026)[🏢 Company Insights

## Working at Datadog in 2026: Glassdoor, Salary & Engineering Culture

What's it really like working at Datadog in 2026? 4.2 Glassdoor, $200k-$400k TC, 423 open roles across 8+ countries. Engineering culture, comp breakdown, and honest pros/cons from employees.

Mar 26, 2026

](https://jobsbyculture.com/blog/working-at-datadog-2026)[🏢 Company Insights

## Working at Cloudflare 2026: Employee Count, Glassdoor & Engineering Culture

How many employees does Cloudflare have in 2026? Full breakdown of headcount, Glassdoor rating, engineering culture, compensation, and what makes Cloudflare different from other infra companies.

Mar 26, 2026

](https://jobsbyculture.com/blog/working-at-cloudflare-2026)[🏢 Company Insights

## Is Anthropic Remote? Only ~8% of Roles Are in 2026 (Real Policy + Alternatives)

No — Anthropic is office-first in 2026. ~8% of open roles are remote-friendly (mostly senior engineering & field). The rest anchor to SF, NYC, Seattle, London, Dublin. Below: exact remote-eligible teams, why the official 'remote-friendly' label is misleading, and 6 truly remote-first AI labs hiring now.

Mar 25, 2026

](https://jobsbyculture.com/blog/anthropic-remote-work-policy-2026)[📈 Industry Trends

## AI Company Employee Counts 2026: Headcount Data for 40 Top Companies

How many employees do the top AI companies have in 2026? Live headcount data for 118 companies including OpenAI, Anthropic, DeepMind, Cursor, Perplexity, Stripe, and more. Updated April 2026.

Mar 21, 2026

](https://jobsbyculture.com/blog/ai-company-employee-count-2026)[🏢 Company Insights

## Working at Together AI in 2026: Culture, Compensation & What Employees Say

What's it really like working at Together AI in 2026? The open-source AI cloud with $3.3B Series B valuation (talks reported for $7.5B), ~300 employees, $1B annualized revenue, and 61 open roles. Real employee reviews inside.

Mar 21, 2026

](https://jobsbyculture.com/blog/working-at-together-ai-2026)[🏢 Company Insights

## Working at Supabase in 2026: Culture, Compensation & What Employees Say

What's it really like working at Supabase in 2026? 4.8 Glassdoor but only 3.0 WLB — 100% recommend yet relentless pace. Open source, fully remote, $10.5B Series F valuation. The real story.

Mar 21, 2026

](https://jobsbyculture.com/blog/working-at-supabase-2026)[🏢 Company Insights

## Working at Mistral AI in 2026: Culture, Compensation & What Employees Say

What's it really like working at Mistral AI in 2026? Europe's fastest AI unicorn — 4.0 Glassdoor (conservative estimate), ~168 open roles against an 800+ headcount, ~$13.7B Series C valuation, and what the team actually says.

Mar 21, 2026

](https://jobsbyculture.com/blog/working-at-mistral-2026)[🚀 Career Growth

## 50+ Culture-Fit Interview Questions That Actually Predict Fit (2026)

Culture-fit interview questions grouped by the 18 values that actually predict fit — work-life balance, remote, engineering-driven, psych safety, learning, ship-fast, and more. 50+ specific questions candidates and hiring managers can use verbatim. Updated for 2026.

Mar 18, 2026

](https://jobsbyculture.com/blog/culture-fit-interview-questions)[🏢 Company Insights

## Working at Airbnb in 2026: Glassdoor Rating, Salary & Live and Work Anywhere Policy

Airbnb Glassdoor rating is 4.1/5.0 in 2026. Engineers earn ~$180k entry-level to $1M+ at senior levels with no location-based pay cuts. We break down the Live and Work Anywhere policy, real employee reviews, and 210 open roles.

Mar 17, 20267 min read

](https://jobsbyculture.com/blog/working-at-airbnb-2026)[📈 Industry Trends

## Best AI & Tech Companies for Engineers in 2026

We ranked 35 AI & tech companies by what engineers care about most. See who leads in technical culture, compensation, autonomy, and open source — plus...

Mar 17, 202610 min read

](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)[📈 Industry Trends

## Best AI Companies for Work-Life Balance in New York (2026)

We ranked 26 AI & tech companies with jobs in New York by work-life balance score. Hugging Face leads at 4.1 among major employers — Scale AI trails at...

Mar 17, 20269 min read

](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-new-york-2026)[📈 Industry Trends

## Best AI Companies for WLB in SF (2026)

We ranked 27 AI & tech companies with jobs in San Francisco by work-life balance score. Notion leads at 4.2 — Scale AI trails at 2.7. 1,847 open SF jobs.

Mar 17, 20269 min read

](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-san-francisco-2026)[🏢 Company Insights

## Working at Google DeepMind 2026: 5,600 Employees, £180K+ Salaries & the Culture Nobody Talks About

Google DeepMind has 5,600 employees, a 4.2 Glassdoor rating, and $300K-$500K comp in 2026. Nobel Prize-winning research culture, but 3.8/5 career growth. The real trade-offs inside.

Mar 16, 20269 min read

](https://jobsbyculture.com/blog/working-at-deepmind-2026)[💰 Compensation

## Highest Paying AI Companies in 2026: Full Salary + Equity Breakdown

29 AI companies ranked by total comp (base + equity + bonus). OpenAI pays $350k–$550k, Anthropic $300k–$490k, DeepMind $300k–$500k. See where your offer stacks up.

Mar 16, 20269 min read

](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)[📈 Industry Trends

## Best AI Startups to Join in 2026: Small Teams, Big Impact

11 AI startups under 500 employees ranked by Glassdoor rating. Vast AI leads at 5.0, Linear at 4.6, and LangChain at 4.6. 619 open jobs across all startups.

Mar 16, 20269 min read

](https://jobsbyculture.com/blog/best-ai-startups-to-join-2026)[🏢 Company Insights

## OpenAI vs DeepMind: Culture Compared

Side-by-side comparison of OpenAI and Google DeepMind — Glassdoor ratings (4.5 vs 4.2), work-life balance (3.6 vs 4.0), culture values, compensation, and...

Mar 16, 20268 min read

](https://jobsbyculture.com/blog/openai-vs-deepmind-culture-comparison)[🏢 Company Insights

## Working at OpenAI 2026: Employee Count, Salary, Culture & Hiring Status

How many employees does OpenAI have in 2026? Working at OpenAI: real headcount, $350k-$550k engineer compensation, hiring status across teams, culture insights from current and former employees.

Mar 15, 20269 min read

](https://jobsbyculture.com/blog/working-at-openai-2026)[🏢 Company Insights

## Working at Databricks in 2026: Glassdoor, Salary & Employee Reviews

Is Databricks a good place to work? 4.1 Glassdoor rating, 10,000+ employees, $280k–$450k engineer comp. Real pros & cons from employee reviews + open roles.

Mar 15, 20269 min read

](https://jobsbyculture.com/blog/working-at-databricks-2026)[📈 Industry Trends

## Best AI Companies to Work For in 2026

We ranked all 35 AI & tech companies by Glassdoor rating. Vast AI leads at 5.0, Cohere trails at 2.9. See the full rankings with employee reviews.

Mar 15, 20269 min read

](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)[📈 Industry Trends

## Open Source AI Companies Hiring in 2026

9 open source AI companies actively hiring in 2026 — 729 open jobs from Hugging Face, LangChain, Vercel, Airbnb, and more. Real Glassdoor data and...

Mar 15, 20268 min read

](https://jobsbyculture.com/blog/open-source-ai-companies-hiring-2026)[🏢 Company Insights

## Stripe in 2026: 8,000 Employees, Recent Layoffs, Salary & Culture

Working at Stripe in 2026: $159B valuation, 8,000 employees, the 2022 + 2025 layoffs, 4.0 Glassdoor rating, $250k-$450k engineer comp, and what the writing-first culture is really like inside the company.

Mar 14, 20268 min read

](https://jobsbyculture.com/blog/working-at-stripe-2026)[🏢 Company Insights

## Perplexity AI in 2026: 4.7 Glassdoor Rating, ~500 Employees & Why Engineers Love It

Perplexity AI has the highest Glassdoor rating (4.7/5) of any AI company we track — but a 3.3 work-life balance score. ~500 employees, 95% CEO approval, and the real culture trade-offs.

Mar 14, 20268 min read

](https://jobsbyculture.com/blog/working-at-perplexity-2026)[🏢 Company Insights

## Working at CoreWeave in 2026: Glassdoor Reviews, Culture & Careers

CoreWeave has ~1,800 employees and a 3.6 Glassdoor rating. NVIDIA-backed GPU cloud growing fast — but is it a good place to work? Real employee reviews + open roles.

Mar 14, 20268 min read

](https://jobsbyculture.com/blog/working-at-coreweave-2026)[🏢 Company Insights

## Anthropic in 2026: Number of Employees, Glassdoor Rating, Salary & Culture

How many employees does Anthropic have in 2026? Roughly 5,000 as of mid-2026. Full breakdown of headcount, $47B run-rate revenue, 4.4 Glassdoor rating, $300k-$490k engineer comp, and what working there is really like.

Mar 14, 20268 min read

](https://jobsbyculture.com/blog/working-at-anthropic-2026)[📈 Industry Trends

## Best AI Companies for Work-Life Balance in 2026

We ranked all 35 AI & tech companies by work-life balance score using Glassdoor data. See who leads (Vast AI at 4.5) and who trails (Scale AI at 2.7).

Mar 14, 20268 min read

](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)[🏢 Company Insights

## Anthropic vs OpenAI: Culture Compared

Side-by-side comparison of Anthropic and OpenAI — Glassdoor ratings (4.4 vs 4.5), work-life balance (3.7 vs 3.6), culture values, compensation, and real...

Mar 14, 20267 min read

](https://jobsbyculture.com/blog/anthropic-vs-openai-culture-comparison)[🚀 Career Growth

## Flat Hierarchy in Tech: The 8 Companies Where It's Actually Real (2026)

Eight tech companies where flat hierarchy is genuinely real — not just a job-post buzzword. Backed by employee-reported culture data, review analysis, and open roles at each. Updated for 2026.

Mar 14, 20266 min read

](https://jobsbyculture.com/blog/flat-hierarchy-tech-companies)[📈 Industry Trends

## 11 Remote-Friendly AI Companies Actually Hiring in 2026

Not just remote-OK — genuinely remote-first. 11 AI companies with real remote culture, open roles, Glassdoor ratings, and what employees actually say about WFH.

Mar 14, 20266 min read

](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026)[🏢 Company Insights

## Plaid in 2026: ~1,300 Employees, 4.2 Glassdoor Rating, Salary & Culture

Working at Plaid in 2026: ~1,300 employees, 4.2 Glassdoor rating, $6.1B Series E valuation (Apr 2025 down round), 89% recommend, competitive engineer comp, and what the transparent engineering-driven culture is really like inside the company.

Mar 14, 202612 min read

](https://jobsbyculture.com/blog/working-at-plaid-2026)[🏢 Company Insights

## Runway in 2026: ~420 Employees, AI Video Pioneer, Salary & Culture

Working at Runway in 2026: ~420 employees, 4.5 Glassdoor rating, $180k-$350k engineer comp, and what the art-meets-engineering culture is really like inside the AI video generation pioneer.

Mar 14, 20269 min read

](https://jobsbyculture.com/blog/working-at-runway-2026)[🏢 Company Insights

## Vercel in 2026: ~900 Employees, $9.3B Series F, Ship-Fast Culture, Salary & What It's Really Like

Working at Vercel in 2026: ~900 employees, $9.3B Series F valuation, 4.1 Glassdoor rating, $180k-$320k engineer comp, remote-first async culture, and what building the frontend cloud is really like inside the company.

Mar 14, 20269 min read

](https://jobsbyculture.com/blog/working-at-vercel-2026)[🏢 Company Insights

## Modal in 2026: ~150 Employees, $4.65B Valuation, Salary & Culture

Working at Modal in 2026: ~150 employees, $4.65B valuation (May 2026), world-class engineering team, ~$300M annualized revenue, and what the eng-driven deep-work culture is really like inside the company.

Jan 15, 202612 min read

](https://jobsbyculture.com/blog/working-at-modal-2026)

---

## Document: AI Coding Agents Compared in 2026: Claude Code, Cursor, Windsurf, Cline, Aider, Devin

# AI Coding Agents Compared in 2026: Claude Code, Cursor, Windsurf, Cline, Aider, Devin

> A working engineer

Source: https://jobsbyculture.com/blog/ai-coding-agents-compared-2026
Markdown: https://jobsbyculture.com/blog/ai-coding-agents-compared-2026.md
Last updated: 2026-07-14

---
Short answer

The 2026 leaderboard sorts into three categories: IDE-embedded agents (Cursor, Windsurf, Copilot), terminal-first agents (Claude Code, Codex CLI, Aider), and autonomous cloud agents (Devin). Most serious engineers run two — an IDE agent for daily flow and a terminal/CLI agent for hard problems. Claude Code leads on reasoning quality and large-codebase work. Cursor leads on UX and file-aware editing. Cline is the open-source default for cost-conscious or BYOM users. Devin is the only real bet for "ticket-in, PR-out" autonomy.

If you asked an engineering team in 2024 which AI coding tool they used, the answer was almost always "Copilot, sometimes ChatGPT." If you ask the same team in 2026, you'll get a list of three or four tools with strong opinions about when to use which. The market matured fast, the categories sharpened, and the cost-of-being-wrong about your choice went up.

This is a working engineer's guide to the AI coding agents that actually matter in 2026. We've stuck to tools with serious adoption or genuine capability differences. We've skipped wrappers that just resell GPT-4o with a coat of paint. The goal is to help you pick the right one or two — or, more usefully, the right pair — rather than every tool a marketing page calls "agentic."

This piece is part of our broader [AI Skills](https://jobsbyculture.com/ai) coverage. If you're shopping the labor market behind these tools, browse [AI & ML engineering roles](https://jobsbyculture.com/jobs?role=ml-ai) in our directory.

## The Three Categories That Actually Matter

Before naming tools, name the three useful buckets. Reviewers love to lump everything into one ranked list. The list is misleading because the categories solve different problems.

-   **IDE-embedded agents.** Live inside your editor (VS Code, JetBrains, their own fork). Optimized for autocomplete, file-aware edits, and inline chat. You're driving; the agent is augmenting. _Cursor, Windsurf, GitHub Copilot, Continue, Zed._
-   **Terminal-first / CLI agents.** Live in your terminal. Designed for multi-file work, repo-wide reasoning, and tasks where the agent runs commands itself. You're collaborating; the agent has more autonomy on each turn. _Claude Code, Codex CLI, Aider, Goose, Cline (also runs in VS Code)._
-   **Autonomous cloud agents.** You hand off a ticket, the agent works for hours unsupervised, you get a PR. Most autonomy, least visibility into the path. _Devin, Codex Cloud, Replit Agent, Lovable._

An IDE agent can't realistically run a 30-minute refactor across 80 files. A cloud agent doesn't help when you're trying to think through a tricky bug in real time. The right setup almost always combines categories, not picks a single tool to do everything.

## At-a-Glance Comparison

Tool

Category

Pricing (Pro)

BYOM

Best at

Claude Code

Terminal / CLI

$20+/mo

No

Reasoning, large-codebase refactors, agentic loops

Cursor

IDE (own fork)

$20/mo

Partial

Best-in-class IDE UX, file-aware edits

Windsurf

IDE (own fork)

$15/mo

Partial

Strongest value at the IDE tier

GitHub Copilot

IDE plugin

$10/mo

No

Default autocomplete, biggest install base

Cline

VS Code / CLI

Free + API

Yes

BYOM heavy use, 5M+ VS Code installs

Aider

Terminal / CLI

Free + API

Yes

Git-native workflow, surgical edits

Codex CLI

Terminal / CLI

$20+/mo

No

OpenAI-native terminal agent

Devin

Cloud / autonomous

$500+/mo

No

Ticket-in / PR-out autonomous work

Prices in this table reflect entry-level paid tiers as of mid-2026 and shift frequently. Always check the vendor's current pricing page.

## Claude Code

### Claude Code

Terminal-first Best reasoning 1M context

Anthropic's terminal-first agent built on Claude Opus and Sonnet. Runs in your shell as `claude`, can read and edit files, run commands, take screenshots, and orchestrate multi-step tasks across an entire repo. Has the highest SWE-bench Verified score of any production agent at time of writing and a 1M-token context window that genuinely changes what kinds of tasks are tractable.

**What it's best at:** Large refactors that span dozens of files. Multi-step debugging where the agent needs to read code, run it, read the failure, adjust, and try again. Repo-wide work where context matters. Anything where reasoning quality matters more than IDE polish.

**Where it's weaker:** Sub-second autocomplete for fast typing in a single file (it's not built for that loop). Visual / mouse-driven UI — you live in the terminal. Pricing for heavy use is API-metered on top of the subscription, which can get expensive without cache discipline.

Best for

Senior engineers working on hard, multi-file problems in the terminal

Skip if

You want a polished GUI or live primarily in pairing-style autocomplete

Hidden cost

Token usage on large repos is significant — learn its caching model

## Cursor

### Cursor

IDE Best IDE UX

Cursor (from [Anysphere](https://jobsbyculture.com/companies/cursor)) is a VS Code fork purpose-built for AI-assisted coding. Defining features: Tab, the predictive multi-line completion that often nails the next 5–10 lines you were going to type; Composer, which handles multi-file edits via natural language; and a strong focus on agent-like inline experiences. Cursor has become the default IDE for a meaningful share of working engineers in 2026.

**What it's best at:** The daily IDE loop. Single-file and small multi-file edits. Refactors where you want to see the diff before accepting. Pair-programming style work where you're driving and the agent is augmenting. Companies like Anysphere have demonstrated that the IDE category is winnable on UX alone.

**Where it's weaker:** Large autonomous tasks (Composer can do them but the experience is less mature than terminal-first agents). Vendor lock-in — you're committed to their fork of VS Code, which can lag mainline VS Code features. Pricing tiers around heavy Claude usage can creep up.

Best for

Engineers who live in an IDE and want the smoothest AI-assisted typing loop

Skip if

You prefer terminals or need to stay on stock VS Code

Hidden cost

Switching IDEs is sticky; budget time for the transition if you have heavy plugin habits

## Windsurf

### Windsurf

IDE Best value

Windsurf (formerly Codeium's IDE) is the closest direct competitor to Cursor in the IDE category. The defining pitch is "Cascade," an agentic workflow that can take on multi-step tasks while you stay in the IDE. At $15/mo, it undercuts Cursor and Claude Code on price while offering a similar feature surface.

**What it's best at:** Teams that want IDE-embedded AI without paying the Cursor or Copilot Enterprise price. Cascade is genuinely capable for multi-file edits inside the IDE. The free tier is more generous than Cursor's.

**Where it's weaker:** Smaller install base than Cursor, which translates to fewer guides, plugins, and shared workflows. Some reviewers note Cursor's Tab still edges out Windsurf's completion for the very fastest pair-programming loops.

Best for

Engineers who want a Cursor-class IDE experience at a lower price

Skip if

You're committed to mainline VS Code or already invested in Cursor

Hidden cost

Same vendor lock-in pattern as Cursor — you're on their fork

## GitHub Copilot

### GitHub Copilot

IDE plugin Cheapest serious option

GitHub Copilot remains the most-installed AI coding tool by a wide margin — about 15 million developers as of 2026. The product has grown substantially since the 2024 era: agent mode, multi-file edit, model choice (you can route to Claude, GPT, Gemini), and pull request review integration directly inside GitHub. At $10/mo it's still the cheapest option that's competitive at the tier above "novelty."

**What it's best at:** Teams already on GitHub who want the lowest-friction install. Cost-conscious individual developers. Autocomplete on stock VS Code or JetBrains without switching IDEs. PR review and issue triage inside GitHub itself.

**Where it's weaker:** Agent mode is capable but lags Cursor and Claude Code on the hardest tasks. The product is broader than it is deep — it's improved at everything but rarely "best in category" at anything.

Best for

Default for individuals and teams already in the GitHub ecosystem

Skip if

You want best-in-category reasoning or completion for a specific workflow

Hidden cost

Enterprise pricing tiers are where the heavy features live, not the $10 plan

## Cline

### Cline

BYOM Open source 5M+ installs

Cline is the open-source agentic coding extension that has eaten a surprising chunk of the market — over 5 million VS Code installs. The core pitch is "bring your own model": you plug in API keys for Anthropic, OpenAI, Google, OpenRouter, etc., and pay providers directly at metered rates with zero markup. Has matured into a serious agent with file editing, command execution, browser use, and MCP integration.

**What it's best at:** Heavy users who would otherwise hit subscription rate limits. Teams that want to standardize on a self-hosted or open-source stack. Engineers who want full control over which model handles which task — routing easy edits to Haiku and hard reasoning to Opus, for example.

**Where it's weaker:** Pay-as-you-go pricing is more variable than a subscription — a busy week can cost $100+. The UX is less polished than Cursor or Claude Code's terminal experience. Requires comfort with API key management.

Best for

BYOM users, cost-sensitive heavy users, OSS-leaning teams

Skip if

You want predictable monthly billing or hate dealing with API keys

Hidden cost

Model spend can balloon on large repos — set per-model budgets

## Aider

### Aider

BYOM Open source Git-native

Aider was built around a clean idea: everything the agent does lives in git. Every edit is a commit, every conversation turn is a diff. That makes the agent's behavior auditable and easy to roll back. It runs in your terminal, supports any major model via BYOM, and has a loyal community of engineers who've used it longer than they've used most of the IDE agents.

**What it's best at:** Surgical, git-aware edits where you want every change as a commit. Repository-level reasoning when paired with a strong model. Engineers who already think in diffs and find that flow natural.

**Where it's weaker:** Lower-touch agentic loops — Aider is more "type-instruct, review-diff" than "run-this-task-autonomously." UX is genuinely command-line; there's no GUI polish. Onboarding curve is steeper than Cursor.

Best for

CLI-native engineers who like git as the operating model

Skip if

You want autonomous multi-step agentic flows or GUI experiences

Hidden cost

Same as Cline — you pay model providers directly

## Codex CLI

### Codex CLI / OpenAI Codex

Terminal OpenAI-native

OpenAI's answer to Claude Code. Same general shape: a terminal-first agent that can read, edit, run, and reason across your repo. The defining difference is the model — Codex CLI runs on OpenAI's latest agentic models and inherits their strengths and weaknesses. Tightly integrated with the ChatGPT ecosystem and OpenAI's broader tooling.

**What it's best at:** Teams already standardized on OpenAI. Tasks where GPT-class models specifically outperform — particularly some structured generation and tool-use patterns. Codex Cloud (the autonomous variant) is one of the more capable cloud agent options.

**Where it's weaker:** Claude Code currently holds a meaningful lead on SWE-bench and large-codebase reasoning. UX and ecosystem around Codex CLI is less mature than Claude Code's hook system and config story.

Best for

OpenAI-aligned teams and individuals who want a terminal agent

Skip if

Reasoning quality on hard problems is your top criterion

Hidden cost

Like Claude Code, API usage on top of subscription can creep up

## Devin

### Devin (Cognition)

Autonomous cloud Premium pricing

Devin is the most genuinely autonomous coding agent on the market. You give it a ticket, it spends hours working on the problem in its own sandboxed environment — reading code, writing code, running tests, opening browsers, debugging — and returns a PR you can review. Reports suggest a ~67% PR-merge rate on well-defined tasks, which would be remarkable if it holds up at scale.

**What it's best at:** Mechanical, well-scoped work that would otherwise take an engineer's attention away from harder problems. Dependency upgrades, framework migrations, mass refactors against a clear spec. Anywhere "ticket-in, PR-out" is the right shape.

**Where it's weaker:** Open-ended, exploratory work where the spec evolves as you learn. Tasks where the cost of a wrong direction is high — you don't see the path it took until the PR arrives. Pricing is enterprise-tier (starts around $500/mo) which limits casual experimentation.

Best for

Teams with high volumes of well-scoped tickets they want to clear faster

Skip if

Most of your work is exploratory or you're a solo dev on a budget

Hidden cost

Review burden on humans is real — budget time to review Devin PRs carefully

## How to Choose: The Common Patterns

51%

of developers use AI tools daily

15M

GitHub Copilot install base

5M

Cline VS Code installs

From talking to engineers across the [companies in our culture directory](https://jobsbyculture.com/companies), three configurations have emerged as the most common.

### 1\. The Default Pair: Cursor + Claude Code

Cursor for the daily IDE loop, Claude Code in a second terminal pane for hard problems. Cursor handles your typing flow, file-aware edits, and quick refactors. When you hit something gnarly — a debugging session spanning many files, a refactor that needs reasoning, a migration — you switch over and hand the task to Claude Code. The combined monthly cost is in the $40–$60 range depending on usage, and it's the setup we hear most often from senior engineers in 2026.

### 2\. The Budget Pair: GitHub Copilot + Cline

Copilot at $10/mo handles autocomplete and quick edits inside stock VS Code. Cline handles the harder agentic work on BYOM API keys, routed to whichever model fits the task. Pays off above maybe 8–10 hours/week of heavy AI usage. Adds friction (key management, billing across providers) but gives you control over cost and model choice.

### 3\. The Enterprise Stack: Copilot + Devin

Individual engineers use Copilot daily inside their editor. The team uses Devin (or Codex Cloud) to clear well-scoped tickets — dependency bumps, framework upgrades, mechanical refactors — that would otherwise distract human engineers. This is the pattern we see at companies that have moved past "AI for individuals" and started thinking about AI in the team's operating model.

## What to Skip (in 2026)

A few categories of tools that get a lot of marketing attention but aren't worth your time as of mid-2026:

-   **"AI coding assistants" that are thin GPT wrappers.** If a tool's primary differentiator is a prompt and a UI on top of GPT-5 or Claude, you'll get the same result with the raw model and a real agent.
-   **Tools that demand a vendor cloud you don't already use.** Stack churn is the silent killer. Lock-in to a cloud you're not committed to is a future migration in disguise.
-   **"Autonomous" agents that don't show their work.** If the agent can't surface its chain of reasoning or tool calls, you can't review or debug what it did. That's fine for prototypes; it's a liability in production code.
-   **Browser-only agents for serious work.** Anything that requires you to paste code into a web textarea round-trip is a step backward from where the tooling is now.

## The Skill Behind the Tool Choice

One last thing worth saying: which tool you pick matters less than how you use it. The engineers we see getting the most leverage from AI agents in 2026 share a few habits regardless of which tool they're on:

-   They keep their CLAUDE.md / AGENTS.md / .cursorrules files actively maintained — the agent's instructions are part of the codebase, not an afterthought.
-   They read the agent's output critically. Accepting whatever's generated is the fastest way to erode your own skill.
-   They pair AI agents with strong test suites. Tests are the agent's calibration signal.
-   They build something AI-free occasionally — the inoculation against losing track of what they actually know.
-   They talk openly about AI usage on their team. The corrosive thing about secret AI use is the shame, not the use itself.

For more on the human side of the AI era for engineers, see our piece on [overcoming imposter syndrome in the AI era](https://jobsbyculture.com/blog/overcoming-imposter-syndrome-engineers-2026). For a closer look at the underlying skills, our [AI engineer guide](https://jobsbyculture.com/blog/how-to-become-ai-engineer-2026) and [RAG vs fine-tuning vs prompting](https://jobsbyculture.com/blog/fine-tuning-vs-rag-vs-prompt-engineering-2026) cover the technical ground.

## Frequently Asked Questions

What is the best AI coding agent in 2026?+

There is no single "best" — the right answer depends on where you work. For deep, multi-file refactors and reasoning-heavy problems, Claude Code is the leader on SWE-bench and has a 1M-token context window. For day-to-day coding inside an IDE, Cursor still has the best UX and file-aware completions. For cost-sensitive teams or developers who want to bring their own model, Cline is the open-source default. Most serious engineers in 2026 run two — an IDE agent for the daily flow and a terminal/CLI agent for hard problems.

Is Claude Code better than Cursor?+

It depends on the task. Claude Code wins on reasoning quality, agentic capability, and large-codebase comprehension. Cursor wins on UX, IDE integration, and speed of single-file edits. The honest answer is that they're complementary, not competing.

What's the cheapest AI coding agent that's actually good?+

GitHub Copilot at $10/mo remains the cheapest serious option. Windsurf Pro at $15/mo is the next step up. Cline and Aider are technically free but you pay model providers directly. The cheapest "good agent" depends on how much you code.

Should I learn to use AI coding agents to get hired in 2026?+

Yes. As of 2026, fluency with at least one AI coding agent is an expected skill for engineering roles, not a bonus. Interviewers increasingly ask candidates to walk through a task using their preferred AI workflow. You only need to be deeply fluent with one — pick whichever fits your existing setup and learn it well. See our [AI engineering roles](https://jobsbyculture.com/jobs?role=ml-ai) for what hiring teams are actually screening for.

What is Devin and is it worth using?+

Devin is an autonomous cloud agent — you give it a ticket, it spends hours working on it without supervision, and returns a PR. It's the most autonomous tool on the market with a reported 67% PR-merge rate on well-defined tasks. Most useful for well-scoped, low-creativity tickets. Less useful for early-stage exploratory coding.

What does "BYOM" mean and why does it matter?+

BYOM = "Bring Your Own Model." It means the coding agent lets you plug in your own API keys for Anthropic, OpenAI, Google, etc., and you pay those providers directly at metered rates. BYOM matters for heavy users (can be cheaper) and for control over which model handles which task. Cline, Aider, Continue, and Zed support BYOM. Claude Code, Cursor, Devin, Copilot, and Codex do not.

Will AI coding agents replace engineers?+

Not in 2026, and probably not in the near term. The pattern that's actually emerging: smaller engineering teams shipping more code, with senior engineers spending more time on architecture and review. Junior engineers are the more disrupted group — entry-level pipelines have narrowed at many companies. See our piece on [imposter syndrome in the AI era](https://jobsbyculture.com/blog/overcoming-imposter-syndrome-engineers-2026) for the human side.

### Find AI & ML engineering roles at culture-first companies

The companies building these tools — Anthropic, OpenAI, Cursor, GitHub, and more — are all in our directory, with culture profiles, ratings, and open roles.

[Browse AI Roles →](https://jobsbyculture.com/jobs?role=ml-ai) [Explore AI Skills →](https://jobsbyculture.com/ai)

---

## Document: What AI Engineers & Researchers Actually Earn in 2026: Real Salaries by Lab & Level | JobsByCulture

# What AI Engineers & Researchers Actually Earn in 2026: Real Salaries by Lab & Level | JobsByCulture

> AI engineer and researcher salaries in 2026, decoded. Base vs total comp at OpenAI, Anthropic, DeepMind, Meta & xAI — verified figures by level, the equity that drives 40–70% of pay, and how to value an offer.

Source: https://jobsbyculture.com/blog/ai-engineer-researcher-salary-2026
Markdown: https://jobsbyculture.com/blog/ai-engineer-researcher-salary-2026.md
Last updated: 2026-07-14

---
If you've read that an AI researcher got a "$100 million signing bonus," or that OpenAI engineers "make $1.5 million," you've been served the hype, not the reality. The truth is more useful: AI-lab compensation is genuinely the highest in the history of software — but the number that matters is almost never the one in the headline, and most candidates evaluate offers using the wrong figure entirely.

We pulled this together from three kinds of evidence: U.S. Department of Labor H-1B wage filings (which are legally binding and list _base salary only_), verified employee-reported total compensation, and on-the-record reporting from Bloomberg, TechCrunch, CNBC, and the WSJ. Where a number is contested or thinly sourced, we say so. By the end you'll know what these jobs actually pay by level, why two offers with the same headline can differ by hundreds of thousands of real dollars, and the exact questions to ask before you sign.

## First, the trap: "base salary" and "total comp" are different planets

This is the single most important thing to understand, and it's where almost everyone goes wrong. There are two completely different numbers floating around for the same job:

Base salary (H-1B filings) ~$310K

Total comp (base + equity + bonus) $635K–$870K+

The base salaries quoted in government wage filings are real and reliable — but at a frontier AI lab, base is only **30–60% of the package**. The rest is equity. At senior levels, equity is 40–70% of total compensation. So when one source says "OpenAI pays $310K" (a base-salary filing) and another says "OpenAI pays $870K" (total comp), _both can be correct_ — they're measuring different things. Internalize this before you compare any two offers.

## The floor: what base salaries actually are

These come from U.S. Department of Labor H-1B/LCA filings — the most reliable public data that exists, because companies are legally bound to the figures they file. Remember: **base only, no equity, no bonus.**

Lab

Base salary (DOL filings, 2025)

OpenAI — Member of Technical Staff

Median **~$310K** (75th pct ~$380K, 90th pct ~$440K)

OpenAI — [Research Scientist](https://jobsbyculture.com/jobs-at/openai/research-scientist)

$245K–$685K (top filed base in the dataset)

Anthropic — Member of Technical Staff

Median **~$315K** (range $156K–$690K)

xAI

Median **~$275K** (90th pct ~$375K)

Meta — [Software Engineer](https://jobsbyculture.com/titles/software-engineer)

$120K–$480K (level-dependent)

Mistral (US)

~$300K median (small sample; France-based roles are structurally lower)

Two things jump out. First, base salaries at OpenAI, Anthropic, and xAI cluster remarkably tightly around **$275K–$315K median** — the labs are competing on equity, not base. Second, the spread within a single title is enormous (Anthropic's filed MTS base runs from $156K to $690K) because one title can span everything from a new grad to a manager.

## The real number: total compensation by level

Now the figure that actually lands in your account over four years. These are verified, employee-reported total-comp packages (base + annualized equity + bonus). Treat them as ranges, not promises — equity values move with each funding round.

Lab & level

Total comp

Of which equity/stock

OpenAI L4 (mid)

~$635K

~$367K

OpenAI L5 (senior)

~$843K

~$520K

OpenAI — overall median

**~$870K**

majority

Anthropic — senior SWE

~$563K

~$247K

Anthropic — lead SWE

~$785K

~$453K

Google DeepMind — Research Scientist L4

~$286K

partial

Google DeepMind — Research Scientist L5

~$481K

~$261K

Meta — Research Scientist IC4→IC6

~$305K → ~$581K

rising with level

xAI — software engineer (median)

~$640K

~$400K

Microsoft AI — AI Researcher (L63–L66)

~$315K–$474K

partial

The takeaway for a candidate: a senior role at a frontier U.S. lab realistically clears **$550K–$870K+ in total comp**, and the differences between offers live almost entirely in the equity line — which, as we'll see, is the part you can least take at face value.

One big geographic caveat: **London frontier-lab comp runs roughly 30–40% below the San Francisco Bay Area** in dollar terms. A DeepMind L5 in London is a very different number than the same level in Mountain View. If you're comparing across geographies, convert carefully.

## Researchers vs. engineers: the premium hides in the equity

A persistent question: do "researchers" out-earn "engineers"? The honest answer is nuanced. At Google DeepMind, **base salary is essentially identical across tracks at a given level** — research scientists get roughly 5–15% larger _equity_ grants, not higher base. At Anthropic, research roles run about 15–30% higher total comp per level, and the gap widens at senior tiers.

At OpenAI the title-level data shows research scientists earning nearly 2× the median of software engineers — but that's largely a _leveling_ effect (researchers cluster at higher levels), not a per-level premium. The defensible conclusion: **at the same level, the researcher premium is modest and lives in equity, not base.** The eye-watering researcher packages you read about aren't a different pay band — they're a tiny number of frontier specialists (pretraining, reinforcement learning, reasoning) being bid on individually.

Outside the labs, the pattern rhymes: machine-learning engineers typically earn a meaningful premium over generalist software engineers — on the order of 25–40% — though the size varies sharply by employer.

## The equity is the whole game — and it's not simple

If 40–70% of your package is equity, you need to understand _what kind_ of equity, because the instruments behave completely differently.

### OpenAI: Profit Participation Units (PPUs) — and a major 2025 change

OpenAI historically paid equity as **Profit Participation Units**: a contractual claim on future profits, not ownership shares, vesting 25% per year over four years. The catch was a return **cap** (originally around 10×), with value above it flowing to OpenAI's nonprofit — and because the cap was a multiple of the _original_ issue price, it effectively shrank as the valuation rose (toward ~4× for later grants).

That changed materially: in its **October 2025 restructuring** into a public-benefit corporation, OpenAI **removed the capped-profit model**, and employees now reportedly hold more conventional equity participating proportionally in upside. If you're reading an older guide that describes a hard 10× PPU cap, it's out of date.

### Anthropic, and private startups: double-trigger RSUs and options

Anthropic grants trend toward **double-trigger RSUs**: they require _both_ time-based vesting (typically 4 years) _and_ a liquidity event (IPO, acquisition, or an approved tender) before they turn into anything sellable. Earlier-stage startups grant **stock options** (ISOs/NSOs) with a strike price set to the company's 409A valuation — which is deliberately far below the headline "preferred" price investors pay.

### Public labs (Google, Meta, Microsoft): liquid RSUs

This is the structural advantage that rarely makes headlines: **public-company RSUs are essentially cash at vest.** They settle into shares you can sell on the open market, they never go "underwater," and there's no liquidity event to wait for. A $400K public RSU and a $400K private grant are _not_ worth the same thing.

## How you actually get paid: liquidity is the hidden variable

Private equity only becomes money when you can sell it. In 2025–2026 that happened mainly through **company-run tender offers**, and the details matter:

-   **OpenAI** ran a roughly **$6.6B tender in late 2025**, raising the per-employee cash-out cap from $10M to $30M; about 75 people hit the $30M maximum.
-   **Anthropic** ran a roughly **$6B tender in April 2026 priced at a $350B valuation** — and notably, _employees largely refused to sell_, betting on higher prices. Secondary-market indications implied valuations approaching $1T. (Reported by Bloomberg.)
-   In **May 2026**, both OpenAI and Anthropic **cracked down on unauthorized secondary transfers** (SPVs, forward contracts, tokenized rights) — a reminder that you generally cannot sell private shares whenever you want.
-   Both **filed confidentially for IPOs in mid-2026**, and SpaceX (which had absorbed xAI) completed a record IPO in June 2026 — so the liquidity picture is shifting fast.

The lesson for an offer: **tender liquidity is probable-but-not-guaranteed, on a timeline you don't control.** Treat private equity as illiquid until proven otherwise.

## The eye-popping numbers, reality-checked

The talent-war headlines are real news, but they're routinely misread. Here's what holds up:

Mostly hype The "$100 million signing bonus"

Sam Altman said publicly (June 2025) that Meta offered his staff "$100 million signing bonuses." But Meta's own CTO, Andrew Bosworth, pushed back — the figure applied to "a few people, very senior leadership," and was structured as RSUs vesting over years tied to performance, _not_ an upfront cash bonus. One named recipient, researcher Lucas Beyer, flatly called the $100M-sign-on framing "fake news." So: nine-figure _total packages_ for a handful of elite people, yes; $100M cash on signing, no.

Disputed The "$1.5 billion" offer

The WSJ reported Meta offered Thinking Machines co-founder Andrew Tulloch a package "as much as $1.5B over six years." Meta called that description "inaccurate and ridiculous," and the figure was contingent on stock performance. Tulloch did eventually join Meta — reportedly for less. Treat $1.5B as a contested headline, not a fact.

Verified The deals that actually happened

The genuinely confirmed mega-numbers are _structural_, not salaries. Bloomberg reported Meta hired Apple's Ruoming Pang on a package **over $200M**. And the truly enormous figures are "reverse acqui-hires" paid to founders and teams via licensing deals: **Google–Windsurf (~$2.4B)**, **Google–Character.AI (~$2.7B)**, and **Microsoft–Inflection (~$650M)**. These are how the billion-dollar numbers get paid — and they're not job offers you can apply for.

What's driving all of it is scarcity: a few hundred people can credibly train a frontier model, and labs that raised at $32B (SSI, with no product) or $350B–$1T (Anthropic, OpenAI) will pay almost anything to keep them. OpenAI reportedly responded to the poaching with retention grants and CRO Mark Chen telling staff he'd "fight to keep every one of you."

## How to read — and negotiate — your own offer

This is the part that actually changes your life, and it's where the research compounds into something practical. Six rules:

### 1\. Negotiate your level first — it dwarfs everything else

The jump from one level to the next is worth far more than haggling within a band. At OpenAI, L4 total comp runs roughly $560K–$750K while L5 runs ~$900K–$1.3M. Fighting a down-level, or pushing to be slotted one level higher, is the single highest-value move you can make. (Levels aren't standardized — a Google L5 is not a Meta E5 — so research the specific ladder.)

### 2\. Convert every offer to risk-adjusted cash before comparing

Never compare headline-to-headline. Take a **public RSU at roughly face value** (it's liquid at vest). **Discount private equity 20–30%** for a well-funded lab with an active tender market — more (30–50%) if there's no tender history or the valuation is stale. Only then are two offers comparable.

### 3\. Treat PPUs / private grants as capped, illiquid, and unverifiable until you ask

At offer time you often aren't told how many units exist or what percentage you own — so you can't independently value the grant. Ask for the unit count and the implied total. Apply both an illiquidity discount and (for any capped instrument) a cap discount.

### 4\. Run the equity diligence checklist

Before you sign, get answers to: option type (ISO/NSO/RSU); strike price; the most recent 409A valuation and its date; what % of fully-diluted shares your grant represents; the vesting schedule and cliff; the post-termination exercise window; tender-offer history and cadence; and what happens to unvested (and vested-but-illiquid) equity if you leave.

### 5\. Probe the liquidation overhang

Ask the uncomfortable question: _"What exit value has to be cleared before common stock is worth anything?"_ Investors hold preferred shares with liquidation preferences that get paid first. If the capital raised exceeds a plausible exit value, your common equity can be worth roughly zero today — regardless of the headline valuation.

### 6\. Model the tax and the triggers, not just the grant

The traps that quietly cost people the most: **single- vs. double-trigger RSUs** (double-trigger is worthless if the liquidity event never comes); the **90-day post-termination window** to exercise options (miss it and ISOs convert to NSOs); and the **AMT bill** you can owe on the paper gain from exercising — tax on money you can't yet access. Budget cash for the exercise and the tax _before_ you'd ever need it.

## The bottom line for job seekers

AI-lab compensation in 2026 is extraordinary and real: a senior engineer or researcher at a top U.S. lab is looking at **$550K–$870K+ in total comp**, and the genuine frontier specialists command far more. But the headline numbers conflate base with total comp, treat illiquid private equity as if it were cash, and amplify a handful of negotiated outliers into a fake "market rate."

Your edge as a candidate is to do what most don't: separate base from total comp, risk-adjust the equity, negotiate the level, and run the diligence checklist before you sign. The offer with the bigger headline is frequently the smaller real number.

## Frequently Asked Questions

How much do OpenAI and Anthropic engineers actually make in 2026?+

Base salaries cluster around $310K–$315K median per U.S. Department of Labor H-1B filings. But total compensation (base + equity + bonus) runs far higher: OpenAI's overall median total comp is around $870K, with senior levels reaching $843K+ and lead/senior Anthropic roles in the $560K–$785K range. Equity is the majority of the package at senior levels.

Did Meta really offer $100 million signing bonuses?+

Not as cash on signing. Sam Altman claimed it publicly, but Meta's CTO said the figure applied to a few very senior people and was structured as performance- and tenure-vesting stock over years, and a named recipient publicly called the "$100M sign-on" framing "fake news." Nine-figure multi-year total packages for a tiny set of elite researchers are real; $100M cash bonuses are not the market.

Do AI researchers earn more than software engineers?+

At the same level, only modestly — and the premium lives in equity, not base. At Google DeepMind, base is essentially identical across tracks and research scientists get ~5–15% larger equity grants; at Anthropic the per-level gap is ~15–30%. The huge researcher packages in the news are a small number of frontier specialists being bid on individually, not a separate pay band.

How should I compare a startup equity offer to a Google or Meta RSU offer?+

Don't compare headline numbers. Public-company RSUs are roughly cash at vest, so count them near face value. Discount private equity 20–30% for a well-funded lab with an active tender market (more if there's no tender history or the valuation is stale), because it's illiquid and carries more risk. Convert both to risk-adjusted cash, then compare.

What questions should I ask about equity before accepting?+

Ask: the option type and strike price; the latest 409A valuation and its date; what % of fully-diluted shares the grant is; vesting schedule and cliff; the post-termination exercise window; tender-offer history and cadence; what exit value clears the liquidation preferences; and what happens to your equity if you leave. If they won't tell you the unit count and implied ownership, you can't actually value the offer.

### Browse AI & Tech Roles by Culture

Compensation is one signal. See the open roles at the labs above — with the culture, ratings, and values that come with them.

[Browse 14,000+ Jobs →](https://jobsbyculture.com/jobs) [Explore the Culture Directory →](https://jobsbyculture.com/companies)

### Compare the Top AI Labs Side by Side

Stack OpenAI, Anthropic, DeepMind and more against each other on culture, ratings, and compensation.

[Compare Cultures →](https://jobsbyculture.com/compare) [See Anthropic's Profile →](https://jobsbyculture.com/companies/anthropic)

---

## Document: Airbnb Salary 2026: $290K–$876K TC, Public RSUs & Live Anywhere Policy

# Airbnb Salary 2026: $290K–$876K TC, Public RSUs & Live Anywhere Policy

> Airbnb compensation in 2026: $290K-$876K total comp for engineers, with publicly traded RSUs (NASDAQ: ABNB) and the industry-leading

Source: https://jobsbyculture.com/blog/airbnb-compensation-2026
Markdown: https://jobsbyculture.com/blog/airbnb-compensation-2026.md
Last updated: 2026-07-14

---
TL;DR — Key Takeaways

-   Airbnb engineer TC ranges from **$290K (25th percentile) to $876K+ (L7)**, with a median of **~$500K**. Staff engineers (L5) earn approximately **~$433K**.
-   Equity is **publicly traded RSUs** (NASDAQ: ABNB, ~$139/share) with **quarterly vesting** over four years. Liquid, predictable, no IPO guessing games.
-   The **“Live and Work Anywhere”** policy is real: work from 170+ countries, $2,000/year in Airbnb credits, single national pay tier (no location adjustments), and ~4 in-person gatherings per year.
-   Glassdoor **4.0/5** overall, WLB **3.9/5**, 78% recommend. One of the best-balanced compensation + culture packages in tech.

In This Article

1.  [Quick Stats](#glance)
2.  [Salary by Level](#base-salary)
3.  [How ABNB RSUs Work](#equity)
4.  [Live and Work Anywhere](#live-anywhere)
5.  [Benefits & Perks](#benefits)
6.  [How Airbnb Compares](#comparison)
7.  [Negotiation Tips](#negotiation)
8.  [Frequently Asked Questions](#faq)

Most tech companies force you to pick two out of three: strong compensation, good work-life balance, or remote flexibility. [Airbnb](https://jobsbyculture.com/companies/airbnb) is one of the few that credibly offers all three. The median engineer earns ~$500K. The WLB score is 3.9/5. And the “Live and Work Anywhere” policy lets you work from 170+ countries for up to 90 days per location — with no pay adjustment, no permission required, and $2,000/year in Airbnb travel credits to make it happen.

With ~8,200 employees, a ~$78.6 billion market cap, and 18% revenue growth in Q1 2026, Airbnb is a mature public company that still runs like a design-driven startup. The 78% recommend-to-a-friend rate backs that up.

## Quick Stats at a Glance

Component

Detail

Company

Airbnb (NASDAQ: ABNB)

Employees

~8,200

Market Cap

~$78.6B (May 2026)

Glassdoor Overall

4.0 / 5.0

Work-Life Balance

3.9 / 5.0

Recommend

78%

Engineer TC Range

$290K–$876K+

Median Engineer TC

~$500K

Equity Type

RSUs (public — NASDAQ: ABNB)

Remote Policy

Live and Work Anywhere (170+ countries)

$500K

Median software engineer total comp at Airbnb — with public RSUs, quarterly vesting, and no location pay cuts

## Salary by Level

Airbnb uses a leveling system from L3 (early career) through L7+ (principal/VP-level). Compensation accelerates sharply at L5+ as RSU grants scale aggressively.

Level

Title

Base Salary

Annual RSUs

Bonus

Est. Total Comp

L3

Software Engineer

~$127K

~$80K–$100K

~$47K

~$290K

L4

Senior Software Engineer

~$171K

~$150K–$200K

~$50K

~$393K

L5

Staff Software Engineer

~$216K

~$179K

~$38K

~$433K

L6

Senior Staff Engineer

~$275K

~$420K

~$70K

~$765K

L7

Principal / Sr. EM

~$291K

~$501K

~$84K

~$876K

The RSU/base ratio tells the story: at L3, equity is roughly a third of total comp. By L5, RSUs are half the package. At L7, RSUs account for 57% of total comp. This means senior Airbnb engineers have a strong interest in ABNB stock performance — but unlike pre-IPO companies, the stock is liquid and can be sold immediately upon vesting.

See open Airbnb positions, filterable by role and seniority. [Browse Airbnb Jobs →](https://jobsbyculture.com/jobs?company=airbnb)

## How ABNB RSUs Work

Airbnb’s equity structure is one of the most employee-friendly in tech. Here’s how it works:

-   **Publicly traded, immediately liquid.** ABNB trades on NASDAQ at ~$139/share with a ~$78.6B market cap. Unlike Stripe (private RSUs) or OpenAI (PPUs), Airbnb RSUs vest into shares you can sell the same day. No guessing, no tender offers, no lockup worries.
-   **Quarterly vesting.** RSUs vest in 16 equal quarterly installments over four years (25% per year). This provides more regular liquidity than the annual-cliff models used by some companies, and means you start receiving equity value after just three months.
-   **Stable stock performance.** ABNB has traded in a range of roughly $110–$160 over the past year. It’s not a moonshot stock, but it’s also not the roller coaster of crypto-correlated stocks like COIN or post-IPO growth stocks like FIG. For engineers who want predictable equity value, ABNB is among the most stable options in growth tech.
-   **Refresh grants.** Airbnb issues annual RSU refreshers on top of the initial four-year grant. Refreshers are performance-based and help maintain total comp as the initial grant vests. Strong performers can receive refreshers that exceed the per-year value of their initial grant.
-   **ESPP available.** Employees can buy ABNB stock at a discount through the Employee Stock Purchase Plan. At current prices, this is a straightforward way to accumulate additional equity tax-efficiently.

Pro — Commonly noted by reviewers Quarterly RSU vesting is frequently highlighted as a standout feature. Reviewers commonly note that receiving equity every three months — rather than waiting a full year for an annual cliff — makes compensation feel more tangible from the start, especially combined with the immediate liquidity of a publicly traded stock.

## Live and Work Anywhere

Airbnb’s remote work policy — “Live and Work Anywhere” — is the most comprehensive in our database of 118 companies. It’s not just “we allow remote” — it’s a fully designed system:

-   **Work from 170+ countries** for up to 90 days per location per year. No manager approval required. Just go.
-   **Single national pay tier.** Move from San Francisco to Nashville or Austin — no pay cut. Airbnb doesn’t adjust compensation based on where you live within your country. This alone can be worth $30K–$50K/year in take-home pay if you move from a high-tax, high-COL city to a lower one.
-   **$2,000/year in Airbnb travel credits.** Paid quarterly, specifically for Airbnb stays. The company literally subsidizes you using its own product.
-   **Quarterly Live and Work Anywhere allowance.** A separate stipend to support remote work expenses — home office, coworking spaces, etc.
-   **~4 in-person gatherings per year.** Teams meet quarterly for multi-day on-sites. These are social + collaborative events, not mandatory office weeks. Airbnb covers travel and accommodation.
-   **Educational stipend.** Annual budget for courses, conferences, and professional development — usable remotely.

Pro — Commonly noted by reviewers Reviewers frequently highlight the genuine flexibility of the Live and Work Anywhere policy, often describing extended stays across multiple countries within a single year without pay adjustments or requiring manager approval. The quarterly travel credits are consistently cited as a tangible, product-aligned perk that reinforces the remote-first culture.

Con — Commonly noted by reviewers The most frequently mentioned tradeoff is time zone friction. When team members are distributed across continents, synchronous collaboration can mean early mornings or late evenings for those farthest from core team hubs — particularly when teams are concentrated in San Francisco. The flexibility is real, but it requires deliberate scheduling discipline.

Related Reading

-   [Working at Airbnb in 2026: Culture, Design-Driven Teams & What Employees Say](https://jobsbyculture.com/blog/working-at-airbnb-2026)
-   [Remote vs. Return-to-Office in 2026: Who’s Winning the Debate?](https://jobsbyculture.com/blog/remote-vs-rto-2026)

## Benefits & Perks

Airbnb’s benefits package reinforces the culture of employee wellbeing. The Comp & Benefits Glassdoor score is among the highest in our database.

-   **Health:** Comprehensive medical, dental, and vision for employees and dependents. Mental health support included.
-   **401(k):** Retirement plan with employer match.
-   **Parental leave:** Generous paid leave for all parents.
-   **Travel credits:** $2,000/year in Airbnb credits, paid quarterly.
-   **Remote stipends:** Home office setup allowance and quarterly Live and Work Anywhere stipend.
-   **Learning:** Annual educational stipend for professional development.
-   **ESPP:** Discounted ABNB stock purchases.
-   **PTO:** Flexible paid time off. The 3.9/5 WLB score suggests employees can actually use it — unlike some companies where “unlimited PTO” is performative.

## How Airbnb Compares

Company

Median Eng TC

Glassdoor

WLB

Remote?

[Airbnb](https://jobsbyculture.com/companies/airbnb)

~$500K

4.0 / 5

3.9 / 5

170+ countries

[Stripe](https://jobsbyculture.com/companies/stripe)

~$340K

4.0 / 5

3.2 / 5

Hybrid

[Figma](https://jobsbyculture.com/companies/figma)

~$393K

3.7 / 5

3.1 / 5

Hybrid

[Coinbase](https://jobsbyculture.com/companies/coinbase)

~$345K

3.6 / 5

2.9 / 5

95% remote

[OpenAI](https://jobsbyculture.com/companies/openai)

~$555K

4.5 / 5

3.6 / 5

In-office

Key takeaways:

-   **Airbnb has the best comp/WLB/remote ratio.** No other company at this comp level offers 3.9/5 WLB and genuine global remote. Coinbase is remote but has a 2.9 WLB. OpenAI pays more but is largely in-office. Stripe is hybrid. Airbnb is the only one that scores high on all three dimensions.
-   **OpenAI pays more, but the tradeoff is real.** The $555K vs $500K gap is real but narrower than it once appeared. But OpenAI is in-office, uses PPUs (novel private equity), and the work intensity is higher. If you want maximum TC at all costs, OpenAI wins. If you want strong TC with a life, Airbnb wins.
-   **ABNB stock is the most stable of the bunch.** FIG dropped 75%. COIN swings with crypto. Stripe is private. ABNB trades in a relatively narrow band around $130–$150 — boring by tech stock standards, but boring is good when it’s 50% of your compensation.
-   **The travel credits are unique.** No other company literally pays you to use their product while working from anywhere in the world. The $2,000/year Airbnb credit is small in absolute terms, but it represents a cultural commitment to remote work that goes beyond policy into product philosophy.

## Negotiation Tips

-   **Focus on RSU grant size.** Like most public tech companies, base salary at Airbnb is relatively standardized by level. The RSU grant is where negotiation matters most, especially at L4+ where equity is 40–50%+ of total comp.
-   **Use competing offers from Google, Meta, or AI labs.** Airbnb knows it competes with FAANG and frontier AI companies. A competing offer from Google (similar WLB, higher comp) or OpenAI (much higher comp) is strong leverage.
-   **Level up during the loop, not after.** The L4→L5 jump is significant annually. If you have staff-level experience, advocate for L5 during the interview process. Post-offer level bumps are much harder to get.
-   **Ask about refresh cadence and sizing.** Annual refreshers are a big part of Airbnb’s long-term comp story. Ask your recruiter: what does a “strong performer” refresher look like at your level? This tells you whether total comp goes up or down after the initial grant.
-   **Factor in the tax arbitrage.** If you live in a no-income-tax state (TX, FL, NV, WA), Airbnb’s ~$500K with no location adjustment is worth $30K–$50K more in take-home than the same salary in California. This is free money that doesn’t require any negotiation.

### Is Airbnb Compensation Worth It in 2026?

Airbnb is the rare company where the answer is straightforwardly yes for a wide range of engineers. The ~$500K median TC is well above the tech-wide median. The 3.9/5 WLB is genuinely strong. The “Live and Work Anywhere” policy is the most comprehensive remote program in the industry. The stock is publicly traded, quarterly-vesting, and relatively stable. The 78% recommend rate suggests that employees actually like working there — not just for the money. The tradeoffs are real but relatively mild: career growth can be slow (promotions are hard to get, senior roles sometimes filled externally), and there’s some post-IPO bureaucracy. If you want maximum possible TC, [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026) or Anthropic will pay more. But if you want a genuinely excellent package where the culture, flexibility, and compensation all work together, Airbnb is one of the best options in tech in 2026.

## Open Positions at Airbnb

Airbnb currently has over 209 open positions across engineering, design, product, and data science. The company hires globally under its Live and Work Anywhere policy, with engineering concentrated in San Francisco, New York, Seattle, and remote. The interview process emphasizes both technical depth and cultural alignment — Airbnb is known for its “culture interview” round that evaluates mission fit alongside coding ability.

For the full list of live openings, visit the [Airbnb jobs page on JobsByCulture](https://jobsbyculture.com/jobs?company=airbnb). You can also explore the [Airbnb culture profile](https://jobsbyculture.com/companies/airbnb) for employee reviews, culture values, and a complete breakdown of what makes Airbnb’s engineering culture distinctive.

## Frequently Asked Questions

What is the average salary at Airbnb in 2026?+

The median total compensation for a software engineer at Airbnb is approximately $500K per year. Total comp ranges from $290K at the 25th percentile to $876K+ at L7 (principal/senior EM). Base salaries range from $127K (L3) to $291K+ (L7), with publicly traded RSUs (NASDAQ: ABNB) and performance bonuses making up the remainder.

Does Airbnb let employees work remotely?+

Yes. Airbnb’s “Live and Work Anywhere” policy allows employees to live anywhere in their country without pay adjustments and work from 170+ countries for up to 90 days per location per year. The company uses single national pay tiers, provides $2,000/year in Airbnb travel credits, and organizes ~4 in-person team gatherings per year.

What kind of equity does Airbnb give?+

Airbnb grants RSUs that are publicly traded on NASDAQ under ticker ABNB (~$139/share, ~$78.6B market cap as of May 2026). RSUs vest quarterly over four years in 16 equal installments. Annual refresh grants are provided based on performance. Airbnb also offers an ESPP at a discount.

How does Airbnb comp compare to Stripe?+

Airbnb’s median engineer TC (~$500K) is above Stripe’s (~$340K). Airbnb also offers publicly traded RSUs (immediate liquidity) vs. Stripe’s private RSUs. Airbnb’s WLB (3.9/5) is higher than Stripe’s (3.2/5), and the remote policy is more flexible. Stripe’s advantages are an equal Glassdoor overall score (both 4.0) and a stronger engineering brand in payments/infrastructure.

What benefits does Airbnb offer?+

Airbnb offers comprehensive medical, dental, and vision; $2,000/year in Airbnb travel credits; quarterly remote work allowance; annual educational stipend; generous parental leave; 401(k) with match; flexible PTO; ESPP; mental health support; and quarterly paid in-person team gatherings.

How much does an Airbnb staff engineer make?+

An Airbnb staff software engineer (L5) earns approximately $433K in total compensation: ~$216K base salary, ~$179K in annual RSU grants, and ~$38K in bonuses. At L7 (principal engineer / senior EM), total comp can reach $876K+ with $291K base and $501K+ in RSUs.

Can you negotiate an Airbnb offer?+

Yes. Focus on RSU grant size and signing bonus, as base salary is standardized by level. Competing offers from Google, Meta, Stripe, or AI labs (OpenAI, Anthropic) provide strong leverage. Since Airbnb uses single national pay tiers, living in a no-income-tax state gives you a significant take-home advantage without negotiation.

### See open Airbnb roles

Over 240 positions across engineering, design, and product. Live and work from anywhere.

[See Airbnb Jobs →](https://jobsbyculture.com/jobs?company=airbnb) [Airbnb Culture Profile →](https://jobsbyculture.com/companies/airbnb)

---

## Document: Anthropic Salary 2026: $300k–$759k Engineer Total Comp Breakdown

# Anthropic Salary 2026: $300k–$759k Engineer Total Comp Breakdown

> Anthropic engineer total comp in 2026 ranges $300k–$759k. Median TC $443k. Senior SWEs $550k–$759k. Inside: per-level base ranges, RSU vesting at $965B valuation, tender-event liquidity, bonus structure, and how it stacks vs OpenAI and Stripe.

Source: https://jobsbyculture.com/blog/anthropic-compensation-2026
Markdown: https://jobsbyculture.com/blog/anthropic-compensation-2026.md
Last updated: 2026-07-14

---
📍 Quick answer

Anthropic engineers earn $300k–$759k total comp in 2026 — median ~$443k, senior SWEs $550k–$759k all-in. RSUs vest 4 years with 1-year cliff at a $61.5B valuation.

[Browse 409 live Anthropic jobs →](https://jobsbyculture.com/jobs?company=anthropic)

Total comp by level — the snapshot you came for

Level (rough)

Total comp band

Base

L3 · Software Engineer

$300k–$380k

$220k–$260k

L4 · Senior SWE

$380k–$490k

$260k–$320k

L5 · Staff SWE

$490k–$620k

$320k–$380k

L6 · Senior Staff / Principal

$620k–$759k

$380k–$450k

**The number that's not in the headline:** roughly **70%** of total comp at L4+ is equity. RSUs vest 4-year cliff/monthly at a $965B valuation. Tender-event liquidity has historically opened every 6–12 months — significant upside, but plan for the illiquidity window.

In This Article

1.  [Compensation at a Glance](#glance)
2.  [Base Salary Ranges by Role](#base-salary)
3.  [Equity & RSU Structure](#equity)
4.  [Annual Bonus Structure](#bonus)
5.  [Benefits & Perks](#benefits)
6.  [How Anthropic Compensation Compares](#comparison)
7.  [Who Should Apply to Anthropic](#who-should-apply)
8.  [Frequently Asked Questions](#faq)

**Short answer:** [Anthropic](https://jobsbyculture.com/companies/anthropic) engineers earn between **$300k** (mid-level total comp) and **$759k** (senior software engineer, top of band) in 2026. The median engineer TC sits around **$443k**. The number includes base salary, RSU equity at the company’s ~$965B valuation, and an annual performance bonus of 15–25% of base. Anthropic’s compensation Glassdoor score of **4.8/5** is the highest we’ve tracked across any AI or tech employer profiled on JobsByCulture.

The rest of this article breaks down base ranges by level, equity structure (vesting, liquidity, secondary sales), bonus mechanics, the benefits package, and how Anthropic pay compares to OpenAI, DeepMind, and Stripe. Skip to whichever section answers your specific question.

## Compensation at a Glance

Component

Detail

Engineer TC range

$300k–$490k (base + equity + bonus)

Research scientist TC

$350k–$550k at senior levels

Equity

RSUs with 4-year vesting, $965B valuation

Annual bonus

15–25% of base salary, performance-based

Benefits

Health, dental, vision, 401(k), unlimited PTO, meals

Comp Glassdoor score

4.8 / 5.0 (highest across every employer in our database)

Overall Glassdoor

4.4 / 5.0 (222 reviews)

CEO approval

93% (Dario Amodei)

Recommend to friend

95%

4.8 / 5.0

Compensation & Benefits Glassdoor score — highest in our database of 118 companies

Open roles at Anthropic

3 of 409 live · refreshed daily

[Account Executive - ASEAN Sydney, Australia](https://jobsbyculture.com/jobs/anthropic/account-executive-asean) [Account Executive, Nonprofits & Higher Education - APAC Sydney, Australia](https://jobsbyculture.com/jobs/anthropic/account-executive-nonprofits-higher-education-apac) [Account Executive, Public Sector Sydney, Australia](https://jobsbyculture.com/jobs/anthropic/account-executive-public-sector)

[See all 409 Anthropic roles →](https://jobsbyculture.com/jobs?company=anthropic)

## Base Salary Ranges by Role

Base salary at Anthropic varies significantly by role and level. These ranges are based on employee salary reports, verified compensation data, and publicly listed pay bands where available.

Role

Level

Base Salary

Est. Total Comp

Software Engineer

Mid-level

$180k–$220k

$300k–$370k

Software Engineer

Senior

$220k–$280k

$380k–$490k

Research Scientist

Mid-level

$200k–$250k

$350k–$420k

Research Scientist

Senior / Staff

$250k–$300k

$450k–$550k

Product Manager

Senior

$200k–$260k

$350k–$450k

Machine Learning Eng.

Senior

$220k–$270k

$380k–$480k

Engineering Manager

Senior

$240k–$300k

$420k–$520k

These are San Francisco / New York numbers. Anthropic does not appear to apply geographic pay adjustments for its US-based roles, which is a meaningful advantage for employees in lower-cost-of-living areas (for the few [remote-friendly positions](https://jobsbyculture.com/blog/anthropic-remote-work-policy-2026) available).

Interested in these salary ranges? See what’s open now. [See open Anthropic positions →](https://jobsbyculture.com/jobs?company=anthropic)

## Equity & RSU Structure

Equity is a major component of Anthropic compensation, often representing 30–50% of total comp at senior levels. Here’s how it works at a private company valued at $965 billion:

-   **Grant type: RSUs (Restricted Stock Units).** Unlike stock options, RSUs have value from day one — you don’t need to “exercise” anything. When they vest, you own the shares.
-   **Vesting schedule: 4-year with 1-year cliff.** Standard tech vesting. Nothing vests in the first year; after the cliff, shares vest quarterly or monthly depending on the grant terms.
-   **Valuation context.** At $965B (as of the May 2026 Series H funding round), Anthropic equity is priced at a significant premium. Early employees hold significantly more upside than new hires, but the scale of potential growth in AI safety infrastructure means even current grants carry meaningful value.
-   **Liquidity.** As a private company, Anthropic shares are not freely tradeable. However, the company has facilitated **secondary sale opportunities** (tender offers) for employees to realize partial liquidity before an IPO. The frequency and terms of these events vary.
-   **Refresher grants.** Employees typically receive annual equity refreshers based on performance, helping offset the dilution of initial grants as they vest.

Pro — Glassdoor review “Compensation is best-in-class. The equity upside alone makes this one of the most compelling offers in AI right now.”

The key question for any candidate: _how do you value private equity?_ If you discount Anthropic RSUs heavily because they’re illiquid, the cash comp alone ($180k–$300k base + 15–25% bonus) is strong but not exceptional by Big Tech standards. If you believe in Anthropic’s trajectory and price the equity at or near the latest round, total comp is among the highest in the industry. For companies where [strong equity compensation](https://jobsbyculture.com/values/equity) is a defining cultural value, Anthropic stands out.

Related Reading

-   [Anthropic vs OpenAI 2026: Culture, Compensation & Career Paths Compared](https://jobsbyculture.com/blog/anthropic-vs-openai-2026)
-   [Anthropic Remote Work Policy 2026: Is Anthropic Remote Friendly?](https://jobsbyculture.com/blog/anthropic-remote-work-policy-2026)
-   [Highest-Paying AI Companies in 2026: Full Ranking](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

## Annual Bonus Structure

Anthropic offers annual performance-based bonuses that typically range from **15–25% of base salary**. Here’s what that looks like in practice:

-   **Target bonus:** Most engineering and research roles carry a target bonus of ~20% of base salary. This is the payout for “meets expectations” performance.
-   **Performance multiplier:** Exceptional performers can receive above-target payouts, while underperformers receive less. The multiplier is calibrated during annual review cycles.
-   **Payout timing:** Annual bonuses are paid out once per year, typically following the company’s performance review cycle.
-   **Concrete example:** A senior engineer with a $240k base and 20% target bonus would receive a $48k bonus at target — bringing cash comp alone to $288k before equity.

Compared to Big Tech companies like Google or Meta where bonuses are often 15% of base, Anthropic’s 15–25% range is competitive. The higher end (25%) is typically reserved for senior and staff-level roles.

## Benefits & Perks

Beyond cash and equity, Anthropic offers a comprehensive benefits package that contributes to the 4.8/5 comp score:

-   **Health insurance:** Full medical, dental, and vision coverage. Anthropic covers a significant portion of premiums for employees and dependents.
-   **401(k) match:** Employer matching on 401(k) contributions — a meaningful addition to long-term compensation.
-   **Unlimited PTO:** Flexible time off with no fixed cap. Glassdoor reviews suggest the culture genuinely supports taking time off, though the intense pace means some employees still struggle to disconnect.
-   **Daily meals:** Catered meals at office locations in San Francisco, New York, and Seattle.
-   **Learning stipend:** Budget for conferences, courses, books, and professional development.
-   **Parental leave:** Competitive parental leave policy for new parents.
-   **Commuter benefits:** Pre-tax commuter benefits for office-based employees.

Pro — Glassdoor review “Benefits are genuinely excellent — health coverage, 401k match, meals, and they actually encourage you to take PTO.”

Con — Glassdoor review “Work-life balance can be intense during research sprints — unlimited PTO doesn’t help if you feel you can’t step away.”

## How Anthropic Compensation Compares

Anthropic competes for talent with a small group of frontier AI labs and top-tier tech companies. Here’s how the compensation stacks up:

Company

Engineer TC

Comp Score

Equity Type

Valuation

[Anthropic](https://jobsbyculture.com/companies/anthropic)

$300k–$490k

4.8 / 5

RSUs (private)

$965B

[OpenAI](https://jobsbyculture.com/companies/openai)

$555k–$1.27M+

4.4 / 5

PPUs (private)

$852B

[DeepMind](https://jobsbyculture.com/companies/deepmind)

$300k–$500k

4.5 / 5

Google RSUs (public)

Public (Alphabet)

[Databricks](https://jobsbyculture.com/companies/databricks)

$280k–$450k

4.3 / 5

RSUs (private)

$134B

[Stripe](https://jobsbyculture.com/companies/stripe)

$250k–$400k

4.1 / 5

RSUs (private)

$159B

[Perplexity](https://jobsbyculture.com/companies/perplexity)

$250k–$420k

4.2 / 5

Options (private)

$20B

Key takeaways from the comparison:

-   **OpenAI pays the most in raw TC**, but uses Profit Participation Units (PPUs) rather than traditional equity — a more complex and less proven structure.
-   **DeepMind offers public-market equity** through Google/Alphabet RSUs, providing immediate liquidity that Anthropic’s private RSUs cannot match.
-   **Anthropic’s comp score (4.8) leads the pack**, suggesting employees feel the total package — not just the raw numbers — is exceptionally strong. Culture, mission alignment with [ethical AI](https://jobsbyculture.com/values/ethical-ai), and benefits all factor in.
-   **Perplexity and other early-stage companies** offer lower base comp but potentially larger equity upside if valuations grow significantly.

For a deeper look at pay across the AI industry, see our full [highest-paying AI companies](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) ranking. Or for a head-to-head culture and comp breakdown, read [Anthropic vs OpenAI 2026](https://jobsbyculture.com/blog/anthropic-vs-openai-2026).

### Is Anthropic Compensation Competitive?

Anthropic is among the top highest-paying employers in AI, though OpenAI leads in raw total compensation. The 4.8/5 Glassdoor comp score — the highest in our database — tells a bigger story: employees feel genuinely well-compensated across salary, equity, bonus, and benefits. The main risk factor is equity liquidity. Anthropic RSUs are valuable on paper at a $965B valuation, but you can’t freely sell them. If you’re comfortable with that trade-off and believe in Anthropic’s trajectory, the total package is world-class. If you prioritize liquid equity, DeepMind (Alphabet RSUs) offers a safer path.

## Open Positions at Anthropic

Anthropic currently has **409 open positions** across research, engineering, product, safety, and operations. With the company’s aggressive hiring pace and $965B valuation, compensation packages are expected to remain at the top of the market.

For the full list of live openings with salary data, visit the [Anthropic jobs page](https://jobsbyculture.com/jobs?company=anthropic). You can also explore the [Anthropic culture profile](https://jobsbyculture.com/companies/anthropic) for Glassdoor ratings, employee reviews, and culture values, or prepare with our [questions to ask in an Anthropic interview](https://jobsbyculture.com/blog/questions-to-ask-anthropic-interview) guide.

## Who Should Apply to Anthropic

Based on Anthropic’s compensation structure, [culture profile](https://jobsbyculture.com/companies/anthropic), and employee reviews, here’s who tends to thrive there:

-   **Mission-driven engineers and researchers** who care deeply about [AI safety](https://jobsbyculture.com/values/ethical-ai) and want their work to have lasting impact on how AI systems are built responsibly. Anthropic’s identity is built around safety research — if that doesn’t resonate, the culture won’t feel like a fit.
-   **People comfortable with private-company equity risk.** A significant portion of total comp is in RSUs at a $965B valuation. If you need fully liquid compensation, DeepMind (Alphabet RSUs) may be a better fit. If you believe in Anthropic’s trajectory and can wait for liquidity events, the upside is substantial.
-   **High-autonomy operators who thrive at pace.** Glassdoor reviews consistently mention fast execution and high ownership. This is a company of ~5,000 people shipping frontier AI — the pace is intense, and you’re expected to drive your own work.
-   **Candidates who prefer in-office or hybrid work.** Anthropic expects employees in-office at least 25% of the time (roughly one week per month), with most roles based in San Francisco. Fully remote candidates should review the [remote work policy](https://jobsbyculture.com/blog/anthropic-remote-work-policy-2026) carefully — only a small subset of roles are remote-eligible.
-   **People preparing for a rigorous interview process.** The hiring loop typically includes 4–5 technical rounds plus a team-matching phase, and can take 4 weeks to 3+ months. Coming prepared matters — see our [questions to ask in an Anthropic interview](https://jobsbyculture.com/blog/questions-to-ask-anthropic-interview) guide.

## Frequently Asked Questions

What is Anthropic's bonus structure?+

Anthropic offers an annual performance-based bonus typically ranging from 15–25% of base salary. Bonuses are tied to individual performance reviews and company-wide milestones. For a senior engineer with a $220k base, this translates to $33k–$55k in annual bonus. Bonus payouts are determined during annual review cycles, with managers providing calibrated ratings that map to bonus multipliers.

What is the salary for a software engineer at Anthropic?+

Software engineer total compensation at Anthropic ranges from $300k–$490k depending on level. Base salary for a mid-level SWE is typically $180k–$220k, with senior engineers earning $220k–$280k base. On top of base salary, engineers receive RSU equity grants (vesting over 4 years) and an annual performance bonus of 15–25% of base. Anthropic’s Compensation & Benefits Glassdoor score is 4.8/5 — the highest in our database of AI and tech companies.

How much does Anthropic pay in total compensation in 2026?+

Anthropic total compensation in 2026 ranges from approximately $300k–$490k for engineers and $350k–$550k for senior research scientists. This includes base salary ($180k–$300k depending on role and level), RSU equity grants with significant upside at Anthropic’s $965B valuation, and annual performance bonuses of 15–25% of base. Benefits include full health/dental/vision coverage, 401(k) match, unlimited PTO, daily meals, and a learning stipend.

Does Anthropic pay well?+

Yes — Anthropic is one of the highest-paying employers in AI. The company’s Compensation & Benefits score on Glassdoor is 4.8 out of 5.0, the highest in our database of 118 companies. Engineer TC ranges from $300k–$490k, and senior research scientists can earn $350k–$550k. Anthropic’s compensation is strong for AI, though [OpenAI](https://jobsbyculture.com/companies/openai) engineers at L4–L5 levels earn $555k–$1.27M+ (significantly higher). Anthropic’s packages compare more closely to DeepMind ($300k–$500k) and remain significantly above most tech companies. 95% of employees recommend working there.

How does Anthropic equity vesting work?+

Anthropic grants RSUs (Restricted Stock Units) that typically vest over a 4-year schedule with a 1-year cliff. After the cliff, shares vest quarterly or monthly depending on the grant. As a private company valued at $965B, Anthropic equity is not immediately liquid — employees cannot sell shares on public markets. However, Anthropic has facilitated secondary sale opportunities (tender offers) for employees to realize some liquidity before an IPO. The equity component is a significant portion of total compensation, especially at senior levels. See all [current Anthropic openings](https://jobsbyculture.com/jobs?company=anthropic).

How does Anthropic compensation compare to OpenAI?+

Both Anthropic and [OpenAI](https://jobsbyculture.com/companies/openai) are among the top-paying AI companies. OpenAI’s total compensation for engineers significantly exceeds Anthropic’s: mid-level (L4) engineers earn $555k–$795k, and senior (L5) engineers earn $800k–$1.27M+, well above Anthropic’s $300k–$490k range at comparable levels. However, OpenAI uses Profit Participation Units (PPUs) rather than traditional RSUs — a less proven equity structure. Anthropic’s Glassdoor Compensation & Benefits score (4.8/5) is higher than OpenAI’s (4.4/5), suggesting employees feel the overall package is stronger even if the raw numbers are lower. For a full breakdown, see our [Anthropic vs OpenAI comparison](https://jobsbyculture.com/blog/anthropic-vs-openai-2026).

Does Anthropic offer remote positions?+

Anthropic is primarily office-based with a hybrid policy. Employees are expected to be in-office at least 25% of the time (approximately one week per month), with most roles based in San Francisco. A small number of roles — concentrated in AI Safety & Policy, Security Engineering, and select research positions — are remote-eligible within the United States. The vast majority of Anthropic’s open positions require presence at an office. For the full policy breakdown, see our [Anthropic remote work policy](https://jobsbyculture.com/blog/anthropic-remote-work-policy-2026) guide.

What is the Anthropic interview process like?+

The Anthropic interview process typically takes 4 weeks to 3+ months and consists of six stages: resume screen, recruiter call (30–45 minutes), hiring manager screen, a technical interview loop of 4–5 rounds (covering coding, system design, ML theory, and behavioral questions with an emphasis on AI safety and alignment), reference checks with parallel team matching, and finally an offer discussion. The process is thorough and competitive. For preparation tips, see our [questions to ask in an Anthropic interview](https://jobsbyculture.com/blog/questions-to-ask-anthropic-interview) guide.

### Browse all 13,906 jobs from 118 companies

Filter by company, role, seniority, and culture values. Every listing includes compensation context.

[See Anthropic Jobs →](https://jobsbyculture.com/jobs?company=anthropic) [Highest-Paying AI Companies →](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

---

## Document: Anthropic Layoffs 2026: None. Hypergrowth, $380B+ Valuation, ~$30B ARR | JobsByCulture

# Anthropic Layoffs 2026: None. Hypergrowth, $380B+ Valuation, ~$30B ARR | JobsByCulture

> No. Anthropic has had zero layoffs in 2026. The company is in hypergrowth: ~2,300+ employees, hundreds of open roles, $380B+ valuation (Series G), ~$30B ARR run rate. Updated June 2026 with live data.

Source: https://jobsbyculture.com/blog/anthropic-layoffs-2026
Markdown: https://jobsbyculture.com/blog/anthropic-layoffs-2026.md
Last updated: 2026-07-14

---
📍 Quick answer

Anthropic has not had broad layoffs in 2026 — the company is aggressively hiring across research, engineering, GTM, and policy. Open headcount has grown sharply alongside revenue and the latest funding round.

[Browse 409 live Anthropic jobs →](https://jobsbyculture.com/jobs?company=anthropic)

The short answer

**No layoffs at Anthropic in 2026.** The company is in hypergrowth, not contraction.

Headcount: ~2,300+ (Fortune, late 2025), up from ~500 in 2023. Valuation: $380B post-money after the $30B Series G closed in February 2026. Revenue: an ~$30B annualized run rate by April 2026 (per public reporting on 80x annualized growth). Amazon previously invested ~$8B and committed up to an additional $25B in April 2026. Dario Amodei remains CEO and Daniela Amodei remains President.

That's the headline. The rest of this article is the why: what's actually happening at [Anthropic](https://jobsbyculture.com/companies/anthropic), why people keep searching for "Anthropic layoffs" when there are none, and whether the company is worth joining in 2026.

## The Facts: No Layoffs, Hypergrowth Hiring

Anthropic has not conducted any layoffs in 2026. There has been no RIF, no WARN filing, no public memo. The company is one of the most aggressive net hirers in the AI industry, expanding its research, engineering, policy, and go-to-market headcount throughout the year.

2021

Anthropic founded — ~150 employees

Dario Amodei, Daniela Amodei, and seven other OpenAI alumni founded Anthropic with a constitutional AI approach to safety. Initial team focused entirely on research, building what would become the Claude model family.

2023

Series B–D funding & rapid hiring begins

Anthropic raised $7B+ across multiple rounds, including $4B from Amazon. Claude 2 launched to strong enterprise reception, and the company began aggressively hiring across research, engineering, policy, and go-to-market. Headcount doubled from ~500 to ~900 by year-end.

Early 2024

Claude 3 launch — inflection point

Claude 3 Opus benchmarked above GPT-4 on several key evaluations, establishing Anthropic as a genuine technical peer to OpenAI. Enterprise ARR accelerated sharply. The company crossed $1B in annualized revenue and began hiring at pace to meet demand.

2025

Claude 3.5, 3.7, and Sonnet 4 ship; ARR crosses $9B

Anthropic shipped successive Claude model updates and ended 2025 at an ~$9B annualized revenue run rate (per public reporting on Anthropic’s revenue trajectory). Headcount reached ~2,300 by Q4 2025 (Fortune).

February 2026

$30B Series G at $380B post-money valuation

Anthropic closed a $30B Series G in February 2026 at a $380B post-money valuation — one of the largest private funding rounds in tech history. The round capitalized continued model development, infrastructure expansion, and aggressive hiring.

April 2026

Amazon commits up to $25B more; ARR run rate hits ~$30B

Amazon announced an additional commitment of up to $25B (on top of the prior ~$8B), tied to AI infrastructure milestones. Anthropic’s annualized revenue run rate reportedly reached ~$30B in April 2026, on an 80x year-over-year growth pace cited by CEO Dario Amodei.

June 2026

Hundreds of open roles; leadership team intact

Anthropic continues to actively hire across research, engineering, policy, and go-to-market. Co-founders Dario Amodei (CEO) and Daniela Amodei (President) remain in their executive roles — Daniela represented Anthropic at the 2026 CNBC Disruptor 50 interview and Snowflake Summit in June 2026.

Open roles at Anthropic

3 of 409 live · refreshed daily

[Account Executive - ASEAN Sydney, Australia](https://jobsbyculture.com/jobs/anthropic/account-executive-asean) [Account Executive, Nonprofits & Higher Education - APAC Sydney, Australia](https://jobsbyculture.com/jobs/anthropic/account-executive-nonprofits-higher-education-apac) [Account Executive, Public Sector Sydney, Australia](https://jobsbyculture.com/jobs/anthropic/account-executive-public-sector)

[See all 409 Anthropic roles →](https://jobsbyculture.com/jobs?company=anthropic)

## Where Anthropic Stands Now

Metric

Detail

Employees

~2,300+ (Fortune, late 2025)

Open roles

Hundreds (live count on /jobs)

Valuation

$380B post-money (Series G, Feb 2026)

ARR run rate (Apr 2026)

~$30B

CEO

Dario Amodei

President

Daniela Amodei

Glassdoor rating

4.4 / 5.0

Work-life balance

3.7 / 5.0

Recommend to a friend

95%

~2,300+

Employees

~$30B

ARR run rate (Apr 2026)

$380B

Series G valuation

## Why People Are Searching “Anthropic Layoffs”

There are a few legitimate reasons the question comes up, even without actual layoffs:

-   **The broader AI industry context.** Cohere made a small workforce reduction in 2024 (~5% / ~20 employees a day after a $500M raise) and there have been industry rumors of further trimming in 2025. People sometimes assume frontier AI companies move together, but Anthropic’s trajectory has been different: revenue-driven growth rather than cost-cutting mode.
-   **Talent flows between frontier labs.** OpenAI lost CTO Mira Murati, chief scientist Ilya Sutskever, and Jan Leike (head of alignment) in 2024, plus a triple executive exit in April 2026 (Kevin Weil, Bill Peebles, Srinivas Narayanan). Some of those moves involve people landing at Anthropic. Movement between labs at the senior level can show up in search queries even when no one is being let go.
-   **Hypergrowth strains are real.** Glassdoor reviews note that internal processes haven’t always kept pace with headcount. Some employees describe unclear career ladders or team restructuring. These are growing pains, not layoffs, but they generate the kind of employee frustration that shows up in online searches.

## Glassdoor Rating Breakdown

Anthropic’s Glassdoor profile is one of the strongest in tech, reflecting a company where people are genuinely mission-aligned rather than just paycheck-chasing:

Compensation & Benefits 4.6

Culture & Values 4.5

Overall Rating 4.4

Career Opportunities 4.1

Work-Life Balance 3.7

Senior Management 4.0

The 95% recommendation rate is exceptional — among the highest of any company on the site. Compensation reflects real total comp: senior engineers report $300k–$490k+ packages including equity. The 3.7 WLB score is the honest flag: Anthropic is working on frontier AI under intense competitive pressure, and that doesn’t translate to relaxed hours. See our full [Anthropic compensation breakdown](https://jobsbyculture.com/blog/anthropic-compensation-2026) for detailed ranges by level.

## Is Anthropic Hiring in 2026?

Emphatically yes. Anthropic has hundreds of open positions live at any given time across research, engineering, policy, product, and go-to-market. Locations are concentrated as follows:

San Francisco, CA Primary hub

Remote (US) Selected roles

New York, NY Growing

London, UK EMEA hub

Seattle, WA Growing

Other / International Select roles

San Francisco dominates — roughly half of open roles are SF-based or SF-preferred. If you’re looking for a fully remote position, the options exist but they’re concentrated in specific functions like policy, trust & safety, and some engineering roles. See our [Anthropic remote work policy deep dive](https://jobsbyculture.com/blog/anthropic-remote-work-policy-2026) for the full picture. Browse all live openings on the [Anthropic jobs page](https://jobsbyculture.com/jobs?company=anthropic).

## How Anthropic Compares to OpenAI, DeepMind, Cohere & Mistral

The frontier AI landscape in 2026 has two distinct tiers: the well-funded labs with clear revenue paths (Anthropic, OpenAI) and the leaner challengers navigating a tougher fundraising environment. Here’s how Anthropic stacks up:

Company

Employees

Valuation

Mass layoffs 2025–26?

**Anthropic**

~2,300+ (Fortune)

$380B (Series G, Feb 2026)

None

OpenAI

~7,850 (end of 2025)

~$300B+

None (exec departures only)

Google DeepMind

Thousands (post-Brain merger)

Alphabet subsidiary

Alphabet-wide cuts; DeepMind research shielded

Cohere

~400+

~$5B

~5% (~20 ppl, Jul 2024)

The divergence is meaningful. Cohere made a small workforce reduction (~5%, ~20 employees) in July 2024 a day after a $500M Series D, with industry chatter about further trimming since. OpenAI has not done mass layoffs but has seen high-profile executive departures (CTO, chief scientist, head of alignment in 2024; a triple exec exit in April 2026). Anthropic moved in the opposite direction — adding headcount throughout 2025 and entering 2026 with its most ambitious hiring plan yet, fueled by the $30B Series G.

## What Employees Say Now

Recent Glassdoor and Blind reviews from 2025–2026 paint a consistent picture: Anthropic is intellectually intense, mission-driven to an unusual degree, and paying among the best in the industry — but it is not a gentle place to work:

Pro — Glassdoor review “The mission is genuinely felt, not just a poster on the wall. Dario reads the papers, attends the research discussions, and the whole company actually believes that what we’re doing matters. It’s unlike anywhere I’ve worked.”

Pro — Glassdoor review “Compensation is legitimately exceptional. RSUs have appreciated significantly, the base salary is top-of-market, and benefits are industry-leading. They mean it when they say they want to compete for the best people.”

Pro — Glassdoor review “The people here are some of the most thoughtful and intellectually honest I’ve encountered in tech. Low ego, high rigor, genuinely collaborative. Politics are minimal because everyone cares more about the work than advancing themselves.”

Con — Glassdoor review “The pace is relentless. We ship constantly and the competitive pressure from OpenAI means there is always a reason to work more. If you want 9-to-5 and weekends off, this is not the right lab.”

Con — Glassdoor review “Internal processes haven’t kept up with how fast the company has grown. Career ladders are still being defined for some functions. You might find yourself unclear on what promotion looks like 2 years out.”

Con — Glassdoor review “Despite being ‘remote-friendly,’ the expectation to be in San Francisco is strong for most roles. If you’re outside the Bay Area, you may feel like a second-class citizen in some team interactions.”

### The Bottom Line on Anthropic in 2026

Anthropic is not in layoff territory — it’s in hypergrowth territory. The $380B Series G valuation, hundreds of open roles, a 95% recommendation rate on Glassdoor, and an ~$30B annualized revenue run rate all point to one of the healthiest AI companies in the world. Co-founders Dario Amodei (CEO) and Daniela Amodei (President) both remain in their executive roles. The honest trade-offs are real: intensity that rivals any frontier lab, a culture that still skews SF-heavy despite remote-friendly branding, and processes that are still catching up to the headcount. But if mission-driven work, elite compensation, and the chance to contribute to genuinely important AI research is what you’re after, [Anthropic](https://jobsbyculture.com/companies/anthropic) is one of the strongest bets in 2026.

## Frequently Asked Questions

Did Anthropic have layoffs in 2026?+

No. Anthropic has not had any layoffs in 2026 and has no announced plans for workforce reductions. The company has grown from roughly 500 employees in 2023 to ~2,300+ by late 2025 (per Fortune). Anthropic closed a $30B Series G in February 2026 at a $380B post-money valuation. Browse current openings on the [Anthropic jobs page](https://jobsbyculture.com/jobs?company=anthropic).

Is Anthropic still hiring in 2026?+

Yes, aggressively. Anthropic has hundreds of open positions in 2026 across engineering, research, product, policy, and go-to-market. Roles span San Francisco, New York, London, and remote. Browse all current openings on the [Anthropic jobs page](https://jobsbyculture.com/jobs?company=anthropic).

Who runs Anthropic in 2026?+

Dario Amodei remains CEO and Daniela Amodei remains President of Anthropic as of mid-2026. Both co-founders continue in their executive roles — Daniela represented Anthropic at the 2026 CNBC Disruptor 50 interview (May 2026) and Snowflake Summit (June 2026). Read more in our [Anthropic culture profile](https://jobsbyculture.com/companies/anthropic).

How does Anthropic compare to OpenAI and DeepMind on hiring?+

Anthropic (~2,300+ employees per Fortune) and OpenAI (~7,850 employees end of 2025, targeting 8,000+ by end of 2026) are both in aggressive net-hiring mode with no mass layoffs. Google DeepMind’s research headcount has been largely shielded from Alphabet-wide cuts. Anthropic’s per-employee revenue efficiency — driven by Claude API and Claude.ai subscriptions — is among the highest in frontier AI.

What is Anthropic's Glassdoor rating in 2026?+

Anthropic holds a 4.4 out of 5.0 overall Glassdoor rating in 2026, with 95% of reviewers recommending the company to a friend and Dario Amodei holding a 93% CEO approval rating. Compensation & Benefits scores 4.8 (one of the highest in tech), reflecting total comp packages of $300k–$490k for senior engineers. Work-Life Balance scores 3.7, reflecting the intensity of working at a frontier AI lab. See our full [compensation breakdown](https://jobsbyculture.com/blog/anthropic-compensation-2026) and [culture profile](https://jobsbyculture.com/companies/anthropic) for details.

### Browse all open roles at Anthropic

Filter by role type, seniority, and location. Updated daily from the Anthropic careers page.

[See Anthropic Jobs →](https://jobsbyculture.com/jobs?company=anthropic) [View Culture Profile →](https://jobsbyculture.com/companies/anthropic)

---

## Document: Is Anthropic Remote? Only ~8% of Roles Are in 2026 (Real Policy + Alternatives)

# Is Anthropic Remote? Only ~8% of Roles Are in 2026 (Real Policy + Alternatives)

> No — Anthropic is office-first in 2026. ~8% of open roles are remote-friendly (mostly senior engineering & field). The rest anchor to SF, NYC, Seattle, London, Dublin. Below: exact remote-eligible teams, why the official

Source: https://jobsbyculture.com/blog/anthropic-remote-work-policy-2026
Markdown: https://jobsbyculture.com/blog/anthropic-remote-work-policy-2026.md
Last updated: 2026-07-14

---
📍 Quick answer

Anthropic is hybrid-with-anchor — most roles list SF, NYC, or London as primary locations, with several days/week in-office expected. Truly remote roles exist but are narrower than the careers page implies.

[Browse 409 live Anthropic jobs →](https://jobsbyculture.com/jobs?company=anthropic)

Which Anthropic teams actually allow remote

-   **Research engineering & ML infra** — rare exceptions for senior+ ICs (typically L5/L6) in specific time zones.
-   **Field engineering & solutions** — remote often required because of customer geography.
-   **Policy & trust & safety** — a handful of remote roles in specific jurisdictions.
-   **Everything else** (product, design, marketing, sales, recruiting, business ops, most engineering) — expected in-office at SF, NYC, Seattle, London, or Dublin.

**Reading the listings:** “Remote” on an Anthropic posting usually means “US time zones, with regular SF travel.” True 100%-remote globally distributed roles are vanishingly rare. We break down the failure modes below.

If remote is non-negotiable, jump to the [remote-first AI alternatives](#alternatives) section — we list 6 frontier-research labs and AI scale-ups with majority-remote teams hiring at similar levels. If you'd accept hybrid for the right role at Anthropic, the rest of this article maps which teams are flexible, what current employees report about office-day expectations, and how the company's stated policy diverges from how it's enforced in practice.

## Anthropic Remote Policy at a Glance

Metric

Detail

Official policy

“Remote-friendly”

Reality

Office-first, SF-centric

Total open roles

443

Remote-friendly roles

31 (7%)

HQ

San Francisco, CA

Other offices

NYC, Seattle, London, Dublin, Bangalore, Seoul, Tokyo

International remote

Not offered (in-office at international locations)

Glassdoor rating

4.4 / 5.0 (222 reviews)

Work-life balance

3.7 / 5.0

7%

Of Anthropic’s 409 open roles are listed as remote-friendly

Open roles at Anthropic

3 of 409 live · refreshed daily

[Account Executive - ASEAN Sydney, Australia](https://jobsbyculture.com/jobs/anthropic/account-executive-asean) [Account Executive, Nonprofits & Higher Education - APAC Sydney, Australia](https://jobsbyculture.com/jobs/anthropic/account-executive-nonprofits-higher-education-apac) [Account Executive, Public Sector Sydney, Australia](https://jobsbyculture.com/jobs/anthropic/account-executive-public-sector)

[See all 409 Anthropic roles →](https://jobsbyculture.com/jobs?company=anthropic)

## What “Remote-Friendly” Actually Means at Anthropic

Anthropic uses the term “remote-friendly” on select job listings, but this doesn’t mean what most people expect. Here’s how it breaks down in practice:

-   **Most roles are office-based.** The vast majority of Anthropic’s 443 positions require presence at one of their offices — primarily San Francisco, but also New York, Seattle, or London.
-   **“Remote-friendly” roles are US-only.** The 35 roles tagged as remote-friendly are generally limited to the United States. There is no work-from-anywhere international policy.
-   **Some remote roles require travel.** Several positions are listed as “Remote-Friendly (Travel-Required)” — meaning you can work remotely but must regularly travel to SF or other offices.
-   **SF is the center of gravity.** Leadership, key meetings, and most decision-making happen in San Francisco. Even with a remote-friendly label, the gravitational pull toward the office is strong.

## Which Roles Are Actually Remote at Anthropic?

Based on our analysis of all current job listings, the 35 remote-friendly positions at Anthropic cluster in specific areas:

-   **AI Safety & Policy** — Safety researchers, alignment scientists, and policy roles have the highest share of remote-friendly listings. These roles often involve collaboration across time zones and academic partnerships.
-   **Security Engineering** — Several security-focused roles are listed as remote-friendly, likely reflecting the specialized talent pool.
-   **Select Research Positions** — Some research roles, particularly those tied to fellowship programs, offer remote flexibility with travel requirements.

What’s notably _not_ remote? Most core engineering, product, design, and business roles. If you’re a software engineer looking to work on Claude, you’ll almost certainly need to be in San Francisco or New York.

## Anthropic Office Locations

Anthropic has expanded rapidly from a single SF office to a global presence across 8 cities:

San Francisco, CA

Headquarters · Largest office · Where most leadership is based

New York City, NY

Second-largest US office · Engineering & business roles

Seattle, WA

Engineering hub · Growing presence

London, UK

European base · Research & policy

Dublin, Ireland

EMEA operations

Bangalore, India

Engineering presence

Seoul, South Korea

APAC expansion

Tokyo, Japan

APAC expansion

While the international footprint is impressive for a company founded in 2021, all of these are in-office positions. Anthropic does not offer remote work from countries where it doesn’t have an entity.

## What Employees Say About Remote Work at Anthropic

Glassdoor reviews paint a consistent picture. Employees appreciate the flexibility but acknowledge the SF bias:

Con — Glassdoor review “SF-heavy despite ‘remote-friendly’ label — remote employees can feel out of the loop.”

Pro — Glassdoor review “Incredible autonomy and ownership, even for mid-level engineers.”

The autonomy point is relevant. Anthropic has a [flat hierarchy](https://jobsbyculture.com/values/flat) and [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture with high individual ownership. Remote employees who are proactive, self-directed, and comfortable with asynchronous communication can make it work. But you’ll need to actively fight the gravitational pull of SF.

The 3.7/5 work-life balance score on Glassdoor is also worth noting. Whether remote or in-office, Anthropic employees report intense workloads — 60+ hour weeks during critical research sprints are common. Remote work won’t necessarily mean fewer hours, just different hours.

## Anthropic vs. Genuinely Remote-First AI Companies

If remote work is a priority — not a nice-to-have — here’s how Anthropic stacks up against companies that are built remote from the ground up:

Company

Remote Policy

Glassdoor

WLB

Open Roles

[Anthropic](https://jobsbyculture.com/companies/anthropic)

“Remote-friendly” (7%)

4.4

3.7

443

[Grafana Labs](https://jobsbyculture.com/companies/grafanalabs)

100% remote, 40+ countries

4.1

4.3

131

[PostHog](https://jobsbyculture.com/companies/posthog)

Fully remote, 35+ countries

4.3

4.5

17

[Supabase](https://jobsbyculture.com/companies/supabase)

Fully remote, same pay worldwide

4.8

3.0

39

[Tailscale](https://jobsbyculture.com/companies/tailscale)

Remote-first, async culture

4.4

4.5

39

[LangChain](https://jobsbyculture.com/companies/langchain)

Remote-first since founding

4.6

4.0

87

The trade-off is clear: Anthropic offers frontier AI work, $300k–$490k compensation, and a genuine safety mission. But if you can’t or won’t relocate to San Francisco, you’re choosing from 7% of roles rather than 100%. See our full [remote-friendly AI companies guide](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026) for 11 companies where remote is the default.

### The Bottom Line

Anthropic is a world-class AI lab with elite compensation and a genuine safety mission — but it is not a remote-first company. “Remote-friendly” at Anthropic means “we’ll consider it for select roles, mostly in safety and security, US-only.” If remote work is non-negotiable, look at [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs), [PostHog](https://jobsbyculture.com/companies/posthog), or [Supabase](https://jobsbyculture.com/companies/supabase). If Anthropic’s mission calls to you and you can be in SF, NYC, or Seattle — it’s one of the best places to work in AI.

## Open Positions at Anthropic

Anthropic currently has **409 open positions** across research, engineering, product, safety, and operations. Most roles are based in San Francisco, New York, or Seattle, with 35 roles offering remote flexibility.

For the full list of live openings with location filters, visit the [Anthropic jobs page](https://jobsbyculture.com/jobs?company=anthropic) or explore the [Anthropic culture profile](https://jobsbyculture.com/companies/anthropic) for Glassdoor ratings, employee reviews, and culture values.

## Frequently Asked Questions

Is Anthropic remote friendly?+

Anthropic describes itself as “remote-friendly” but San Francisco is the center of gravity. Only 35 of 409 open roles (7%) are listed as remote-friendly. Most positions require being in San Francisco, New York, Seattle, or London. Remote employees report feeling “out of the loop” on key decisions. If you want a genuinely remote-first AI company, consider [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs), [PostHog](https://jobsbyculture.com/companies/posthog), or [Supabase](https://jobsbyculture.com/companies/supabase) instead.

What is Anthropic's remote work policy in 2026?+

Anthropic’s remote work policy in 2026 is best described as “office-first with remote exceptions.” The company has offices in San Francisco (HQ), New York City, Seattle, and London, with most roles requiring presence at one of these locations. Select roles — primarily in AI Safety, Security, and some research positions — are listed as “Remote-Friendly” in the US. There is no fully remote option for most positions.

Where are Anthropic's offices located?+

Anthropic has offices in San Francisco, CA (headquarters), New York City, NY, Seattle, WA, and London, UK. The company also has employees in Dublin (Ireland), Bangalore (India), Seoul (South Korea), and Tokyo (Japan). San Francisco is the primary hub where most leadership and key decisions are centered.

Can you work remotely at Anthropic from outside the US?+

Most Anthropic remote-friendly roles are limited to the United States. The company has international offices in London, Dublin, Bangalore, Seoul, and Tokyo, but these are in-office positions. Anthropic does not currently offer a fully distributed, work-from-anywhere model. For remote work outside the US at AI companies, consider [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) (40+ countries), [PostHog](https://jobsbyculture.com/companies/posthog) (35+ countries), or [Supabase](https://jobsbyculture.com/companies/supabase) (worldwide, same pay).

What do Anthropic employees say about remote work?+

Anthropic employees note that despite the “remote-friendly” label, San Francisco is where the action is. A common Glassdoor con is: “SF-heavy despite remote-friendly label — remote employees can feel out of the loop.” Career advancement and inclusion in key decisions may skew toward in-office employees. However, the company’s flat hierarchy and high autonomy culture means remote employees who are proactive can still thrive.

Which Anthropic roles are available remotely?+

The 35 remote-friendly roles at Anthropic (as of March 2026) are concentrated in AI Safety & Policy, Security Engineering, and select research positions. Most engineering, product, and business roles require presence at an office. Some roles are listed as “Remote-Friendly (Travel-Required)” — meaning remote is possible but regular travel to SF or other offices is expected. See all [current Anthropic openings](https://jobsbyculture.com/jobs?company=anthropic).

### Browse Anthropic’s 409 open roles

Filter by location, role type, and seniority. See which positions are remote-friendly.

[See Anthropic Jobs →](https://jobsbyculture.com/jobs?company=anthropic) [Remote-First AI Companies →](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026)

---

## Document: Bereavement Leave Email Templates (30+ Copy-Paste Examples for 2026)

# Bereavement Leave Email Templates (30+ Copy-Paste Examples for 2026)

> 30+ bereavement leave email templates for telling your boss, team, and HR — for parent loss, sibling, spouse, child, friend, and pet — plus return-to-work and OOO messages. Short, medium, and longer versions.

Source: https://jobsbyculture.com/blog/bereavement-leave-email-templates-2026
Markdown: https://jobsbyculture.com/blog/bereavement-leave-email-templates-2026.md
Last updated: 2026-07-14

---
Before you start writing

Three lines is enough for the initial email to your boss. You do not owe details about the death, the depth of the relationship, or how you are coping. The point of this email is to tell your manager you're out, when you'll be back, and what won't get done while you're gone. Everything else is for later, in person, when you're ready.

If you're reading this right now, take a breath. You are not the first person to need to write this email and you will not be the last. The structure is simple: **what happened, when you're out, what to do about your work, and (optionally) what you need from your team**. Below are 30+ templates organized by who you're writing to and how much you want to say.

## 1\. Emails to your boss

Send this first, before you tell HR or the team. Keep it short. You can email or Slack — whichever matches your normal communication. If your manager is also a close friend, a one-line text first ("I just lost my dad. Email coming.") is fine and often appreciated.

### Parent loss

Short · 2 sentences

Subject: Bereavement leave — out next week

Hi \[Manager\], My father passed away this morning. I'll be out through \[date\] on bereavement leave. I've messaged \[coworker\] about \[project\]. I'll check in when I'm back. \[Your name\]

Medium · 4 sentences

Subject: Family loss — out \[dates\]

Hi \[Manager\], I'm writing to let you know my mother passed away last night. I'd like to take bereavement leave from \[start date\] through \[return date\]. I've asked \[coworker\] to cover the \[project\] standup and I've handed off the \[deadline\] to \[coworker\]. I'll be reachable only for true emergencies and will reply to everything else when I'm back. Thank you for understanding. \[Your name\]

Longer · with context

Subject: Bereavement leave request

Hi \[Manager\], My father passed away yesterday after a short illness. I'm planning to travel home for the service and to be with my family. I'd like to use my bereavement leave starting today through \[return date\] — that's \[N\] business days, which I believe is within our standard policy. If I end up needing additional time, I'll let you know early next week. For coverage: \[coworker A\] has the \[project\] standup, \[coworker B\] is the primary point of contact on \[deliverable\], and the \[meeting\] on \[date\] can be rescheduled. I'll set up an OOO and route urgent items to \[coworker A\]. I appreciate the support. I'll plan to be back in \[day of week\] standup unless I let you know otherwise. \[Your name\]

### Spouse loss

Short

Subject: I need time — bereavement leave

Hi \[Manager\], My wife passed away yesterday. I'm taking bereavement leave starting today. I'll be in touch when I'm able to come back to work. \[Your name\]

Medium

Subject: Family loss — out indefinitely

Hi \[Manager\], I'm writing to share that my husband passed away on \[date\]. I'm requesting bereavement leave and would like to plan for \[N\] weeks initially, with the possibility of extending. I've already let \[coworker\] know about my active projects and we've drafted a coverage plan I'd like to share with you. I'd appreciate a brief call when you're available to talk through next steps. Otherwise email is the best way to reach me for the next \[N\] days. Thank you, \[Your name\]

### Sibling loss

Short

Subject: Bereavement leave — \[dates\]

Hi \[Manager\], My brother passed away over the weekend. I'd like to take bereavement leave from \[start\] through \[end\]. \[Coworker\] has the standup covered and I'll set up an OOO this morning. \[Your name\]

Medium

Subject: Sibling loss — out next week

Hi \[Manager\], I'm writing to share that my sister passed away on \[date\]. The service is on \[date\] and I'd like to take bereavement leave from \[start\] through \[end\] to attend and be with my family. I'll hand off the \[project\] update to \[coworker\] before I'm out and the \[deadline\] is already in good shape. I'll be back on \[date\]. Thank you for understanding. \[Your name\]

### Child loss

Medium · longer leave

Subject: Bereavement leave

Hi \[Manager\], I'm writing to share that we lost our son on \[date\]. I'm requesting extended bereavement leave — I'd like to plan for \[N weeks\] initially and we can revisit at that point. I'll work with HR on the logistics. Please share the news with the immediate team if and when you think appropriate. I'd prefer not to receive condolence emails for now — a brief message to you or \[coworker\] is enough and they can let me know who reached out. Thank you, \[Your name\]

### Grandparent or extended family

Short

Subject: Out \[dates\] — family loss

Hi \[Manager\], My grandmother passed away on \[date\]. I'd like to take \[N days\] off — \[start\] through \[end\] — to travel for the service. \[Coworker\] will cover the \[project\] standup. Back on \[date\]. \[Your name\]

### Friend (when policy doesn't cover it)

Short · PTO request

Subject: PTO request — \[dates\]

Hi \[Manager\], My closest friend of 20+ years passed away unexpectedly. I'd like to take \[date\] as PTO to attend the service. \[Coworker\] can cover the standup. I'll be back on \[date\]. Thank you, \[Your name\]

### Pet loss

Short · PTO or remote day

Subject: Working from home / out tomorrow

Hi \[Manager\], We had to put our dog down last night after \[N\] years together. I'd like to take \[date\] as PTO — I'm not in a good place to focus today. I'll be back in normal cadence on \[date\]. Appreciate the understanding, \[Your name\]

## 2\. Email to your team

You don't have to send this yourself — many people prefer to ask their manager to share the news to the team on their behalf. If you do send it, keep it brief, set expectations clearly, and signal whether you want to talk about it or not. Both choices are normal.

Short · "don't reach out for now"

Subject: I'll be out next week

Hi team, I'm out from \[date\] to \[date\] following a death in the family. \[Coworker\] is covering the standup and is your point of contact for anything urgent. I'd prefer not to receive condolence messages for now — I'll be back in normal cadence on \[date\] and we can catch up then. Thanks for the support, \[Your name\]

Medium · "kind notes welcome"

Subject: Out for the next two weeks

Hi team, I want to let you all know that my mom passed away on \[date\]. I'm taking the next two weeks for bereavement leave. \[Coworker A\] is covering the \[project\] standup and \[coworker B\] is on point for the \[deliverable\] launch. I'll have very limited email access. If you have anything kind to say, a short message is welcome — I just may not reply until I'm back. I'll be back on \[date\]. Thank you all, \[Your name\]

## 3\. Email to HR

Standard HR notification

Subject: Bereavement leave request — \[your name\]

Hi \[HR partner\], I'm writing to formally request bereavement leave following the loss of my \[relationship\] on \[date\]. I've discussed with my manager, \[name\], and we've agreed I'll be out from \[start date\] through \[return date\] — that's \[N\] business days. Please let me know if you need any documentation or have additional paperwork. I'll plan to coordinate any extension directly with you and \[manager\] if needed. Thank you, \[Your name\]

## 4\. Out-of-office (OOO) auto-responder

Your OOO is read by clients, vendors, [recruiters](https://jobsbyculture.com/titles/recruiter), and strangers. Keep it neutral. There's no need to mention the bereavement.

Standard OOO

Subject: Out of office until \[date\]

Thanks for your email. I'm out of office until \[return date\] with limited access to email. For urgent matters, please contact \[coworker name\] at \[email\]. I'll respond to everything else when I return. \[Your name\]

Brief, with reason (optional)

Subject: Out of office

I'm out of office on family leave through \[date\]. For anything urgent, please reach \[coworker name\] — \[email\]. Otherwise I'll get back to you when I return. \[Your name\]

## 5\. The return-to-work email

This email matters more than the first one. Coming back can be the hardest part — the world moved on, you didn't, and the inbox is full. Set expectations cleanly so your team knows how to be helpful and what to avoid.

Short · "I'm back, let's go"

Subject: Back today

Hi team, I'm back today. Thank you all for covering the last two weeks — I appreciate it more than I can say. I'm catching up on the \[project\] threads first and will be in our usual 1:1s starting tomorrow. \[Your name\]

Medium · "kind notes acknowledged"

Subject: Back — thank you

Hi team, I'm back today after my leave. Thank you for the kind notes and for covering while I was out — both made a real difference. I'm easing back in this week, prioritizing the \[project\] launch and 1:1s. I'd prefer not to talk about my dad's passing at work for now, but I'm grateful for the support. If something I touched while I was out is bumpy, please let me know and we'll fix it together. \[Your name\]

Longer · with a request

Subject: Back today — quick note

Hi team, I'm back today after our family loss. Thank you all for covering — I read \[coworker\]'s updates and the team carried things beautifully. A few notes as I ease in: · I'm picking up \[project\] this week and aim to have \[deliverable\] back on track by \[date\]. · I'm operating at maybe 80% energy for the next few weeks — I'll flag if I need to push something out. · I'd appreciate keeping conversation at work focused on work for now. The grief is real but I want my workdays to be a place where I'm not actively in it. I'll let you know if that changes. Grateful to be back with you all, \[Your name\]

## 6\. What to avoid in every version

-   **Don't apologize for needing time.** Bereavement leave is policy, not a favor. Skip "sorry to do this."
-   **Don't promise to "still be available" for work.** Even if you mean it, you're not setting yourself up to honor it. Set up clean coverage and a real OOO.
-   **Don't share details you'll regret sharing.** Cause of death, family conflicts, financial implications — none of that belongs in a work email.
-   **Don't use euphemisms that confuse the message.** "Family situation" can mean anything. "My mother passed away" is clearer and gets you the right response.
-   **Don't draft this when you can't think straight.** Pick a template above. Replace the bracketed parts. Send. The first version doesn't need to be perfect.

## 7\. If your manager handles it badly

It happens. A manager who doesn't acknowledge the loss, who pushes back on the leave, or who immediately starts handing you new work is showing you something about your work environment. Note what happened, take the leave anyway, and after you're back — consider whether you're at the right company. The way an employer treats people during the worst week of their lives is the most honest culture signal there is.

For perspective on what better looks like, browse companies in our [Culture Directory](https://jobsbyculture.com/companies) filtered for [Safe-to-Fail](https://jobsbyculture.com/values/psych-safety) — the companies that score well there tend to handle bereavement, parental leave, and personal emergencies with more grace.

## Frequently Asked Questions

How much detail should I include in a bereavement leave email?+

Less than you think. Three lines is plenty for an initial email to your manager: who passed, when you'll be out, and a one-line handoff plan. You don't owe details about the death, the relationship's depth, or your emotional state. Most managers prefer brevity in these emails — they're processing the news themselves and don't want to feel they're prying.

Should I email or call my boss about a death in the family?+

Send a short email first — it creates a record and doesn't require you to be composed enough to talk. If you have an established working relationship and the loss is immediate family, a brief Slack message before the email is also appropriate. A phone call is rarely required and is usually harder on you than on your manager.

How long is standard bereavement leave?+

In the US, most employers offer 3-5 paid days for immediate family (spouse, parent, child, sibling) and 1-3 days for extended family. Some progressive employers offer 10-20 days for immediate family. The federal FMLA doesn't specifically cover bereavement but related conditions may qualify for unpaid leave. Check your employee handbook before you write the email — you want to ask for what's already standard at your company.

Do I need to share who passed away?+

You should share the relationship (parent, sibling, spouse, etc.) because most bereavement policies are tied to family proximity. You do not need to share the name, the cause of death, or any other detail. "A close family member passed away" is enough if you'd rather not specify.

What should my out-of-office message say during bereavement leave?+

Keep it neutral and brief: "I'm out of office until \[date\]. For urgent matters, please contact \[coworker name and email\]. I'll respond to other messages when I return." There's no need to mention the bereavement in your auto-responder — strangers, clients, and recruiters are reading it too.

How do I write the return-to-work email after bereavement leave?+

Short and forward-looking. Thank the team for covering, mention any priorities you're picking up first, and signal whether or not you want to talk about what happened. "I'm back. Thank you for covering last week. I'm catching up on the X launch first and will be in 1:1s as usual. I'd prefer not to talk about my dad's passing at work for now, but I appreciate the kind notes." That last sentence is optional but powerful — it sets expectations cleanly.

Am I allowed to take bereavement leave for a friend or pet?+

Most US policies don't formally cover friends or pets, but many managers will approve PTO or a personal day for either. Lead with the ask, frame it accurately, and don't conflate it with immediate-family bereavement. "My best friend of 25 years passed away. I'd like to take Friday as PTO to attend the service." Reasonable managers say yes.

### Looking for a company that handles personal moments with grace?

Browse companies in our directory filtered for psychological safety and supportive culture.

[Safe-to-Fail Companies →](https://jobsbyculture.com/values/psych-safety) [Browse Open Jobs →](https://jobsbyculture.com/jobs)

---

## Document: 76 Birthday Wishes for Your Boss (Copy-Paste, All Tones) | JobsByCulture

# 76 Birthday Wishes for Your Boss (Copy-Paste, All Tones) | JobsByCulture

> 76 copy-paste birthday wishes for your boss, sorted by tone: formal (safe), heartfelt (close manager), office-safe funny, short one-liners, from-the-whole-team group card lines, milestone birthdays, and remote-manager posts. Pick one in 30 seconds.

Source: https://jobsbyculture.com/blog/birthday-wishes-for-boss
Markdown: https://jobsbyculture.com/blog/birthday-wishes-for-boss.md
Last updated: 2026-07-14

---
Pick a tone, then copy

Heartfelt for managers who back you. Professional for a boss you don't know well. Funny only if you already joke with them. Short for group cards. Below, 76 ready-to-send wishes — labeled by tone and situation so you can scroll to the section that matches the relationship.

A birthday wish for your boss is a small piece of writing that does a surprising amount of work. It signals that you noticed. It says something about how the team treats each other. And, done well, it shows your manager that the work relationship is also a human one — without crossing the line into something performative.

[Heartfelt](#heartfelt) [Professional](#professional) [Funny (office-safe)](#funny) [Short / one-liners](#short) [From the team](#group) [New boss](#new-boss) [Longtime boss](#longtime) [Milestone birthdays](#milestone) [Remote boss](#remote) [For a boss who's a woman](#female)

## Heartfelt Birthday Wishes for Your Boss

Use these when your boss is someone whose support has genuinely mattered to your year. The bar for sincere: name something specific you appreciate.

1.  01 Happy birthday! Working for someone who actually cares how the team is doing is rare. Thank you for being that kind of manager. Hope your year ahead is as good as you've made ours.
2.  02 Wishing you the happiest birthday. Everything I've grown into this year has happened because you made room for it. Grateful, and hoping you take the day to celebrate.
3.  03 Happy birthday! You lead with patience and clarity, which are not nearly as common as they should be. Thanks for setting the tone you do.
4.  04 Hope your birthday is wonderful. The way you back the team in the moments that matter doesn't go unnoticed. Wishing you a year that returns the same.
5.  05 Happy birthday! I learn something from working with you almost every week, and that's not something I've gotten to say about every manager. Have a great one.
6.  06 Wishing you a great birthday and an even better year. Thank you for giving the team room to do good work and the cover to take real risks.
7.  07 Happy birthday! The calmness you bring to chaos is something I keep trying to learn from. Hope today is the opposite of chaotic.
8.  08 Hope your birthday is as thoughtful as the way you run our team. Genuinely lucky to report to you.
9.  09 Happy birthday! You make hard work feel meaningful instead of heavy, and that's a real gift to everyone you manage.
10.  10 Wishing you a year full of the same kindness you give the people around you. Happy birthday.
11.  11 Happy birthday to a boss who actually listens. It sounds like a low bar, but it isn't. Thank you.
12.  12 Hope your birthday is everything you'd want it to be. The trust you've placed in me this year changed how I think about my own career.

## Professional Birthday Wishes

Use these when you don't know the boss well, or when they're senior enough that the right note is warm but formal. These are safe in any card or email.

13.  13 Wishing you a very happy birthday and a great year ahead.
14.  14 Happy birthday! Hope you get to step away from the inbox and enjoy the day.
15.  15 Wishing you health, happiness, and a wonderful year of leadership ahead.
16.  16 Happy birthday! Thank you for everything you do for the team. Wishing you the best.
17.  17 May the year ahead bring you continued success and well-deserved rest. Happy birthday.
18.  18 Wishing you a wonderful birthday and many more good years with the team. Best regards.
19.  19 Happy birthday! Hope it's a day full of the people and things you care about.
20.  20 Wishing you the happiest of birthdays. Looking forward to another year of working together.
21.  21 Happy birthday! Thank you for the steady leadership you bring to the team every day.
22.  22 Wishing you a year as productive and rewarding as the team you lead. Happy birthday.

## Funny Birthday Wishes (Office-Safe)

Send these only if you already joke with your boss. They punch up at calendars, meetings, and the absurdity of corporate life — never at the person.

23.  23 Happy birthday! In lieu of a gift, I have cleared three pages from your calendar. Please accept this as the most expensive present I could possibly give.
24.  24 Wishing you a birthday with zero status updates, zero retros, and zero "quick syncs." You deserve it.
25.  25 Happy birthday! As your direct report, I am legally required to wish you well. As a human, I actually mean it. Have a great one.
26.  26 Hope your birthday is louder than your team channel and quieter than your inbox.
27.  27 Happy birthday! May your day be free of Slack pings, calendar invites, and anyone scheduling over your lunch break. (We tried.)
28.  28 Wishing you all the joys of a regular birthday plus the very specific joy of someone else fielding the standup. Happy birthday.
29.  29 Happy birthday! The team got you a cake and also intentionally booked nothing important on your calendar. You're welcome.
30.  30 Hope your birthday is everything a Tuesday at the office isn't.
31.  31 Happy birthday to the only person who can sit through a four-hour planning meeting and still come out the other side with a smile. Honestly, how.
32.  32 May your year ahead be full of the only two things you really want: green dashboards and uninterrupted afternoons. Happy birthday.
33.  33 Happy birthday! As a small gift, the team has agreed to phrase exactly one less question as "quick question" this week.

## Short Birthday Wishes for a Group Card

These are designed for cards with limited space — one line, signed clearly, easy to add without repeating what everyone else has written.

34.  34 Happy birthday! Hope it's a great one.
35.  35 Wishing you a wonderful birthday and an even better year ahead.
36.  36 Happy birthday, boss. Thanks for everything.
37.  37 HBD! Enjoy the day — you've earned it.
38.  38 Happy birthday from a grateful direct report.
39.  39 Wishing you the best birthday and a great year.
40.  40 Happy birthday! The team appreciates you.
41.  41 Many happy returns of the day.
42.  42 Happy birthday — here's to a great year ahead.
43.  43 Cheers to you on your birthday and to everything coming this year.

## From the Team: Group Card Lines

For when the team is signing one card together, and someone has to write the centerpiece message. Use these as the opening line your colleagues sign under.

44.  44 Happy birthday from the whole team. The way you lead makes this a team people genuinely want to be on. Hope today is everything you'd want it to be.
45.  45 From all of us — wishing you a wonderful birthday and a year that gives back even a fraction of what you give the team.
46.  46 Happy birthday! On behalf of the team: thank you for the trust, the patience, and the cover. We're better because you're our manager.
47.  47 Wishing you a great birthday from every corner of the team. Hope your day is calm, your cake is excellent, and your year ahead is even better than the one behind.
48.  48 Happy birthday from the team! No agenda, no action items, just a sincere thanks for being the kind of boss who notices.
49.  49 The whole team wishes you a very happy birthday. Working with you has been one of the best parts of this year — thank you for that.
50.  50 Happy birthday from the team! May the year ahead bring you good problems to solve, good people to solve them with, and enough rest in between.

## For a New Boss (You've Worked With Them <1 Year)

Stay warm, stay measured. Don't overclaim closeness you haven't earned yet, but do mark the year — it matters.

51.  51 Happy birthday! It hasn't been long, but it's already clear the team is in good hands. Wishing you a great year ahead.
52.  52 Wishing you a wonderful birthday. Excited about everything ahead with you leading the team.
53.  53 Happy birthday! Thanks for the welcome and the steady start to working together. Hope your day is a good one.
54.  54 Hope your first birthday with us is the start of a great year. Wishing you the best.
55.  55 Happy birthday! Already grateful for the way you've stepped into the role — looking forward to the rest of the year.

## For a Longtime Boss (5+ Years)

You've been through real things together. Reference the duration and the shared history — sincerely, not nostalgically.

56.  56 Happy birthday! It's been \[N\] years and I still learn something from working with you every quarter. Hope today is a great one.
57.  57 Wishing you the happiest birthday. Hard to think of many people I've spent more weekday hours with — couldn't ask for a better boss to have done it with.
58.  58 Happy birthday! We've been through a lot together — and the team is what it is because you've led it through every chapter.
59.  59 Wishing you a great birthday and another year as good as the ones we've already had. Thank you for the long run.
60.  60 Happy birthday! After \[N\] years working together, "thank you" feels too short for what you've given the team, but it's a start.

## For Milestone Birthdays (40, 50, 60)

For decade birthdays, the right move is to acknowledge the moment without making it about the number. Warm, slightly reflective, never cute about age.

61.  61 Happy birthday! Wishing you a milestone year as full and rewarding as the one behind it.
62.  62 Hope this birthday marks the start of a great chapter. You've earned the celebration.
63.  63 Happy birthday! Years like this one are worth pausing for — hope you do exactly that.
64.  64 Wishing you the warmest birthday and a decade ahead as meaningful as the last one. From all of us, thank you.
65.  65 Happy birthday! Milestones look different on different people — on you, it looks well earned. Have a wonderful day.
66.  66 Hope your milestone birthday is full of the people who matter most. The team is grateful to be part of the work side of your story.

## For a Remote or Distributed-Team Boss

For a manager you don't see in person. Acknowledge the distance lightly, and lean into the warmth.

67.  67 Happy birthday! Sending a virtual coffee toast from \[your city\] to wherever you're celebrating today.
68.  68 Wishing you the happiest birthday from across the time zones. Hope today is a day off the laptop.
69.  69 Happy birthday! If I could deliver cake through Zoom, I would. For now, a sincere "have a great one" from a grateful direct report.
70.  70 Wishing you a great birthday from \[your time zone\] to yours! Have a wonderful day — the team has the rest covered.
71.  71 Happy birthday! Distance makes the small things matter more, and the small things you do for the team really do matter. Enjoy the day.

## For a Boss Who's a Woman

Same rules as any boss — warmth, specificity, sincerity. These are written to acknowledge leadership without falling into clichés.

72.  72 Happy birthday! Working for a leader who sets the tone you do is a genuinely good year. Hope yours is just as good.
73.  73 Wishing you a wonderful birthday. The way you make space for the team to do their best work is something I'm trying to learn from. Thank you.
74.  74 Happy birthday! Lucky to report to someone who leads with both clarity and care — not at all a given.
75.  75 Hope your birthday is as thoughtful and well-run as the team you lead. The bar you set is the bar I aspire to.
76.  76 Wishing you a great birthday from a team that's better at its job because of how you lead. Thank you.

## How to Write a Birthday Wish for Your Boss That Lands

### 1\. Match the relationship

If you have a warm, joking relationship — a funny line will land. If you don't know them well, a sincere formal line is the right call. Reaching for a closeness you haven't earned reads as performative, which is the opposite of what you want.

### 2\. Name one specific thing

The fastest way to make a generic wish feel personal is to name one concrete thing you appreciate — their patience in hard conversations, the way they back the team in meetings, how they actually read your one-on-one docs. Specific beats elaborate.

### 3\. Keep it short

Two sentences signed clearly is almost always better than four sentences that lose their thread. The card-and-cake moment is not the time for your most ambitious writing.

### 4\. Skip the age jokes and the promotion lines

Two reliable ways to land badly: joking about how old your boss is, and slipping in a line about how excited you are for "the year ahead" in a way that sounds like a promotion pitch. Save both. Today is about them, not about you.

### 5\. Match the medium

Written card → warmer and more reflective. Public Slack message → one short line plus a custom emoji. 1:1 in person → just say it out loud and skip the message entirely. The best medium is often "out loud, with eye contact, before the meeting starts."

## The Group Card Move (If You're Organizing)

If you're the one running the team birthday card, three things go a long way:

-   **Start it early.** 48 hours before the birthday, not the morning of. People write better when they're not rushing between meetings.
-   **Open with a real centerpiece line.** A two-sentence opener (something from the "Group Card Lines" section above) gives everyone else a tone to follow and prevents the wall-of-HBD problem.
-   **Make signing optional but easy.** Don't chase anyone who doesn't sign — that creates pressure that makes the gesture worse, not better. Open it, share the link, and let people show up if they want to.

If you want a digital option to do this, our [Culture Cards group greeting tool](https://jobsbyculture.com/culture-cards) handles all of this in one link — no signups for the people signing, GIFs and photos welcome, no ads. Built specifically for team moments like this one.

### Skip the chasing — send one card link

Create a group birthday card for your boss in 60 seconds. No accounts needed to sign. Just one link the whole team can sign.

[Start a Group Card →](https://jobsbyculture.com/culture-cards) [Birthday Wishes for Coworkers →](https://jobsbyculture.com/blog/birthday-wishes-for-coworker)

## Frequently Asked Questions

What should I write in a birthday card for my boss?+

Lead with warmth, mention one specific quality you appreciate (their leadership style, the way they handle pressure, how they back the team), and close with a sincere wish for the year ahead. Avoid inside jokes, overly familiar nicknames, or anything that could read as performative. Two short sentences signed clearly is plenty — and almost always better than a long card you didn't quite know how to end.

Is it okay to send a funny birthday message to your boss?+

If you have a warm, joking relationship with them — yes, but keep it gentle and office-safe. Punch up at corporate life or the calendar, never at the person. If you're newer, more junior, or work with them only occasionally, skip the humor and go heartfelt or professional. A sincere message is never the wrong call; a misfired joke can be.

Should the whole team sign one card or send individual messages to the boss?+

One group card is usually best — it shows team unity and doesn't pressure anyone to come up with something original. If you'd like to add a personal Slack message after, that's a nice touch. Avoid the trap of three different team members organizing three separate cards. Coordinate, pick one, and let everyone sign.

What do you write in a birthday card for a boss you don't know well?+

Stay warm but formal. Avoid trying to manufacture closeness. Good lines: "Wishing you a wonderful birthday and a great year ahead" or "Happy birthday! Hope you get to step away from the inbox and enjoy the day." Sign your name and title or team — they may not place you instantly, and that small clarity is appreciated.

How do you wish a remote or distributed-team boss happy birthday?+

A Slack message in a public team channel or a thoughtful e-card works well. Acknowledge the distance lightly — "Sending you a virtual coffee toast from \[your city\]" — and lean into the warmth. If your team has a tradition (a GIF thread, a song, a custom emoji reaction), use it. For a boss with multiple time zones in their org, posting early in their morning is a kind touch.

What should you NOT write in a birthday card for your boss?+

Avoid five things: jokes about their age, complaints about workload framed as humor, ambitious "looking forward to my promotion this year" lines, anything overly personal about their family or health, and gushing language that doesn't sound like you. Sincerity beats cleverness. If the message would feel weird to say in person, don't write it.

---

## Document: Character AI Compensation 2026: Salary, Equity & What Engineers Actually Make

# Character AI Compensation 2026: Salary, Equity & What Engineers Actually Make

> Character AI compensation in 2026: $200K-$650K total comp for engineers, with equity grants vesting over 4 years. Real salary data, the Google deal

Source: https://jobsbyculture.com/blog/character-ai-compensation-2026
Markdown: https://jobsbyculture.com/blog/character-ai-compensation-2026.md
Last updated: 2026-07-14

---
TL;DR — Key Takeaways

-   Character AI’s median software engineer total compensation is approximately **$407K/year**, based on employee-reported salary data. Total comp ranges from ~$200K for junior engineers to $650K+ for senior staff.
-   Equity is granted as **stock options vesting over 4 years** at 25% per year. However, the company’s valuation dropped from ~$2.5B to ~$1B after the Google deal — a critical factor for anyone evaluating an offer.
-   The Google licensing deal brought **$2.7B in cash** but took co-founders Noam Shazeer and Daniel De Freitas plus ~20% of the research team. Character AI now has **~130–225 employees** and has abandoned proprietary LLM development.
-   Glassdoor overall score: **3.4/5** with only 47% recommending. Compensation score: **3.6/5**. The numbers are competitive, but employee sentiment tells a more complicated story.

In This Article

1.  [Quick Stats at a Glance](#glance)
2.  [The Context: Post-Google Character AI](#context)
3.  [Base Salary by Role](#base-salary)
4.  [Equity: The Big Question](#equity)
5.  [Benefits & Perks](#benefits)
6.  [How Character AI Compares](#comparison)
7.  [Who Should Consider Character AI?](#who-should)
8.  [Negotiation Tips](#negotiation)
9.  [Frequently Asked Questions](#faq)

[Character AI](https://jobsbyculture.com/companies/character) occupies a strange position in the 2026 AI landscape. On paper, it’s a consumer AI powerhouse: 20 million monthly active users, 180 million+ monthly visits, and roughly $32 million in annual revenue from a team of just 130–225 people. That’s a revenue-per-employee ratio that many Series C startups would kill for.

But the company has been through genuine upheaval. The August 2024 Google licensing deal — structured primarily to bring back co-founder Noam Shazeer (one of the eight authors of the foundational “Attention Is All You Need” paper) — stripped the company of its two founders, ~20% of its research staff, and its ambitions to build proprietary LLMs. The valuation dropped from $2.5 billion to around $1 billion. A new CEO, Karandeep Anand, was brought in from Microsoft in mid-2025 to steer the pivot toward consumer products.

So what does compensation look like at a company in the middle of a strategic reinvention? The short answer: still competitive, but with equity risk that demands careful evaluation.

## Quick Stats at a Glance

Component

Detail

Company

Character AI

Founded

2021 (by ex-Google Brain researchers)

Employees

~130–225

Glassdoor overall

3.4 / 5.0

Comp & Benefits score

3.6 / 5.0

Work-Life Balance

3.0 / 5.0

Recommend to friend

47%

Engineer TC range

~$200K–$650K

Median engineer TC

~$407K

Equity type

Stock options (4-year vest)

Total funding

$193M raised + $2.7B Google deal

Current valuation

~$1B (down from ~$2.5B)

Open roles

17

$407K

Median software engineer total compensation — based on employee-reported salary data

## The Context: Post-Google Character AI

You cannot evaluate Character AI compensation without understanding the Google deal. In August 2024, Google paid $2.7 billion in a licensing agreement that was, according to multiple reports, primarily engineered to rehire Noam Shazeer. Shazeer — a 48-year-old engineer who was among Google’s first hundred employees and co-authored the Transformer paper — reportedly made hundreds of millions from the arrangement personally.

The deal reshaped Character AI in three fundamental ways:

-   **Leadership vacuum, then reset.** Both co-founders (Shazeer and Daniel De Freitas) left for Google DeepMind, along with roughly 20% of the research team. Dominic Perella served as interim CEO before Karandeep Anand (former Microsoft VP) was appointed CEO in mid-2025.
-   **Strategic pivot.** Character AI abandoned proprietary LLM training entirely. The company now focuses exclusively on its consumer chatbot platform, using third-party and open-source models instead of building its own. This is a massive strategic shift that removes the most capital-intensive activity but also reduces the company’s moat.
-   **Valuation compression.** The company’s valuation dropped from roughly $2.5 billion to about $1 billion. For employees holding equity, this directly impacts the paper value of their grants. However, the $2.7 billion cash injection gave the company an 18+ month operational runway.

This context matters for compensation because it means two things: cash compensation at Character AI is still solid (the company has plenty of money), but equity carries significantly more risk than it did 18 months ago.

## Base Salary by Role

Character AI base salaries are competitive with mid-stage AI startups, though they trail frontier labs like [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026) and [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026). These figures are based on employee-reported compensation data and reported offers for Palo Alto-based roles.

Role

Base Salary

Est. Total Comp

Software Engineer

$180K–$220K

~$200K–$350K

Senior Software Engineer

$220K–$260K

$350K–$500K

Staff Software Engineer

$250K–$300K

$450K–$650K+

Research Engineer

$200K–$280K

$350K–$550K

Product Manager

$180K–$240K

$280K–$450K

Product Designer

$160K–$220K

$230K–$380K

The average base salary for a software engineer at Character AI is approximately $234K, which is 108% above the national average for software engineers. Total compensation jumps significantly once you factor in equity — but the value of that equity depends heavily on what you believe the company is worth going forward.

Pro — Employee review “Good compensation with 401k match. Smart, talented coworkers building one of the most popular consumer AI apps globally.”

Interested in these roles? See what’s open now. [See 17 open Character AI positions →](https://jobsbyculture.com/jobs?company=character)

## Equity: The Big Question

This is where the Character AI compensation story gets complicated. Equity is a major component of total comp — making up 30–50% of the package at senior levels — but the risk profile has changed dramatically since the Google deal.

### How Character AI Equity Works

-   **Instrument:** Stock options (ISOs for most US employees), not RSUs. This means you have a strike price and must exercise the options to own shares.
-   **Vesting schedule:** 4 years with 25% vesting per year. Standard for venture-backed startups.
-   **Liquidity:** None currently. Character AI is private with no announced secondary market or tender offer program. Your equity is illiquid until an IPO, acquisition, or secondary sale event.
-   **409A valuation:** The company’s 409A valuation (which determines your strike price) has likely been adjusted downward following the valuation compression from ~$2.5B to ~$1B. For new hires, this could actually be favorable — a lower strike price means more upside if the company recovers.

### The Valuation Problem

The elephant in the room: Character AI was valued at roughly $2.5 billion in early 2024. After the Google deal, that valuation dropped to around $1 billion. If you were granted options at the $2.5B valuation, those options are currently underwater — the strike price exceeds the company’s current fair market value.

For _new_ hires in 2026, the picture is different. Your strike price would reflect the current, lower valuation. If Character AI successfully executes its consumer pivot — 20 million MAUs and $32M in revenue provide a real foundation — there’s meaningful upside. But this is a genuinely uncertain bet. The company abandoned its core technical differentiation (proprietary LLMs), lost its founders, and is competing against ChatGPT, Claude, Gemini, and dozens of other consumer AI products.

Con — Employee review “Major layoffs and leadership churn. Only 47% of employees recommend. Organizational instability — constant restructuring.”

### The Bull Case for Character AI Equity

-   **20M MAUs is real.** Most AI startups would trade anything for that kind of consumer traction. Character AI’s audience (primarily 13–25 year olds) is young, engaged, and growing.
-   **$32M in revenue with ~200 employees.** That’s roughly $140K revenue per employee — not bad for a consumer product that’s still early in monetization.
-   **Low strike price.** If you join now at a ~$1B valuation and the company recovers to even $2B, your options double in value.
-   **Google’s cash runway.** The $2.7B deal gave Character AI significant operational runway, reducing near-term financial risk.

### The Bear Case

-   **No proprietary models.** Without its own LLMs, Character AI is a product layer on top of third-party models. That’s a weaker competitive position.
-   **47% recommend rate.** This is one of the lowest scores among AI companies we track. It signals genuine cultural and operational challenges.
-   **No liquidity path.** No IPO timeline, no secondary market, no tender offers announced. Your equity could be illiquid for years.
-   **DOJ scrutiny.** The Google deal attracted antitrust attention from the Department of Justice, adding regulatory uncertainty.

Related Reading

-   [OpenAI Compensation 2026: Salary, PPU Equity, Bonus & How It Compares](https://jobsbyculture.com/blog/openai-compensation-2026)
-   [Anthropic Compensation 2026: Salary, Equity, Bonus & How It Compares](https://jobsbyculture.com/blog/anthropic-compensation-2026)
-   [Highest-Paying AI Companies in 2026: Full Ranking](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

## Benefits & Perks

Character AI’s benefits package is competitive for a startup of its size, though it doesn’t match the premium perks offered by larger AI labs. Based on employee reports and job listings:

-   **Health insurance:** Medical, dental, and vision coverage for employees and dependents.
-   **401(k) with match:** Character AI offers a 401(k) plan with employer matching — a benefit that many startups at this stage don’t provide.
-   **Equity grants:** Stock options as part of all full-time offers, vesting over 4 years.
-   **Flexible PTO:** Unlimited PTO policy, though the 3.0/5 work-life balance score suggests the culture doesn’t always support taking it.
-   **Office:** Based in Palo Alto, CA. Most roles appear to be on-site or hybrid — Character AI is not a remote-first company.
-   **Learning & conferences:** Budget for professional development and conference attendance.

Compared to [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026)’s 50% 401(k) match, 20 weeks parental leave, and daily catered meals, Character AI’s benefits are more standard. This is typical for a company of its size and stage — you’re not joining for the perks. You’re joining because you want to work on a consumer AI product with 20 million users.

Pro — Employee review “Founded by ex-Google Brain researchers — deep AI expertise. One of the most popular consumer AI apps globally. The product has real traction.”

Con — Employee review “Work-life balance rated very low by technical staff. The pace is intense and the organizational instability makes it worse.”

## How Character AI Compares

Character AI sits in an interesting competitive bracket — below frontier labs in raw compensation but above most early-stage startups. Here’s how it stacks up against other AI companies we track:

Company

Engineer TC

Glassdoor

Equity Type

[OpenAI](https://jobsbyculture.com/companies/openai)

$249K–$1.28M

4.5 / 5

PPUs (private)

[Anthropic](https://jobsbyculture.com/companies/anthropic)

$300K–$490K

4.4 / 5

RSUs (private)

[Character AI](https://jobsbyculture.com/companies/character)

$200K–$650K

3.4 / 5

Options (private)

[Runway](https://jobsbyculture.com/companies/runway)

$200K–$400K

3.1 / 5

Options (private)

[DeepMind](https://jobsbyculture.com/companies/deepmind)

$300K–$500K

4.0 / 5

Google RSUs (public)

Key observations:

-   **Character AI’s top-end TC is competitive.** At $650K+ for staff engineers, it’s not far behind Anthropic. The gap widens at senior/principal levels where frontier labs pay $800K+.
-   **The Glassdoor score is a red flag.** At 3.4/5 with 47% recommending, Character AI has the lowest employee sentiment among comparable AI companies. This suggests that the compensation numbers alone don’t tell the full story.
-   **Equity risk is higher than peers.** OpenAI offers PPUs with periodic tender offers. Anthropic has RSUs with increasing valuation. Character AI offers stock options at a company whose valuation recently halved. The risk-adjusted value of Character AI equity is meaningfully lower.
-   **The consumer AI angle is unique.** Unlike most AI labs that sell APIs or enterprise products, Character AI is building a consumer social/entertainment product. If you want to work at the intersection of AI and consumer product at scale, very few companies offer this opportunity.

## Who Should Consider Character AI?

Character AI isn’t for everyone — and that’s fine. The company makes the most sense for a specific type of candidate:

-   **Consumer product engineers who love AI.** If you’re excited about building product experiences on top of AI models (not the models themselves), Character AI is one of the few places where you can do that at scale with 20M users. Most AI companies are selling APIs or enterprise seats. Character AI is building a consumer product used by millions of young people every day.
-   **People who want outsized ownership.** A smaller team (130–225 people) means individual impact is amplified. If Character AI’s consumer pivot works, early post-restructuring employees could see significant equity appreciation from the current ~$1B baseline.
-   **Candidates comfortable with ambiguity.** The leadership transition, strategic pivot, and valuation reset are all real. If you need stability and predictability, this is the wrong company. If you thrive in environments where the playbook is being written in real time, Character AI offers that.
-   **People who prioritize cash over equity.** If you negotiate your offer to lean heavily on base salary and signing bonus rather than options, Character AI’s cash compensation is solid and relatively low-risk regardless of what happens with the equity.

Who should probably look elsewhere: anyone who wants the prestige and stability of a frontier lab, anyone uncomfortable with stock options at a company whose valuation recently compressed, or anyone who needs top-tier work-life balance (the 3.0/5 WLB score is among the lowest we track).

20M

Monthly active users — one of the highest-engagement consumer AI products in the world

## Negotiation Tips

If you’re evaluating a Character AI offer, here’s how to think about negotiation:

-   **Lean into base salary.** Given the equity uncertainty, push for the highest base salary the band allows. Every dollar in base is guaranteed; every dollar in equity is a bet on Character AI’s recovery and growth.
-   **Negotiate the strike price conversation.** Ask your recruiter about the current 409A valuation and when it was last updated. If you’re joining post-valuation reset, your strike price should reflect the ~$1B valuation, not the old $2.5B. Make sure this is the case before signing.
-   **Ask about the equity refresh policy.** With a company undergoing restructuring, annual equity refreshers are not guaranteed. Ask explicitly whether there’s a policy for annual grants and what recent grants have looked like.
-   **Use competing offers from larger AI labs.** Even if you prefer Character AI’s product focus, having an offer from [Anthropic](https://jobsbyculture.com/companies/anthropic), [OpenAI](https://jobsbyculture.com/companies/openai), or a strong public tech company gives you meaningful negotiation leverage on both cash and equity.
-   **Request a signing bonus.** Signing bonuses at startups are more negotiable than base salary bands. If you’re leaving unvested equity elsewhere, ask for a bonus to bridge the gap — $25K–$75K is a reasonable range for senior hires.
-   **Understand the double-trigger acceleration clause.** Ask whether your equity has double-trigger acceleration in the event of an acquisition. Given that Google already made one deal with Character AI, another transaction is not out of the question.

### Is Character AI Compensation Worth It?

Character AI pays competitively for a Series A startup — $407K median engineer TC is strong, and base salaries are well above market. The real question is whether the equity is worth the risk. The company has genuine consumer traction (20M MAUs, $32M revenue), a fresh leadership team, and enough Google-deal cash to operate for years. But the valuation compression, founder departure, strategic pivot away from LLM development, and 47% employee recommendation rate are all legitimate concerns. If you’re optimizing purely for total compensation, [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026) and [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026) pay more with stronger equity. If you want to build consumer AI products at scale and are willing to accept equity risk for potential upside, Character AI is one of the most interesting bets in the market.

## Open Positions at Character AI

Character AI currently has **16 open positions** across engineering, research, product, and design. The team is hiring for roles including staff software engineers, research engineers focused on video model training and multimodal architectures, product managers, product designers, and monetization specialists working on the subscription platform. All roles are based in Palo Alto, CA.

For the full list of live openings, visit the [Character AI jobs page](https://jobsbyculture.com/jobs?company=character). You can also explore the [Character AI culture profile](https://jobsbyculture.com/companies/character) for employee reviews, culture values, and Glassdoor ratings.

## Frequently Asked Questions

What is the average salary at Character AI in 2026?+

The median total compensation for a software engineer at Character AI is approximately $407K per year, based on employee-reported compensation data. This includes base salary ($180K–$260K), equity grants, and performance bonuses. Total comp ranges from roughly $200K for junior engineers to $650K+ for senior staff engineers and research leads.

How did the Google deal affect Character AI equity?+

Google’s $2.7 billion licensing deal in August 2024 was primarily structured to rehire co-founders Noam Shazeer and Daniel De Freitas, along with ~20% of Character AI’s research staff. The company’s valuation dropped from ~$2.5B to ~$1B. For employees holding equity granted at the higher valuation, options may be underwater. For new hires, the lower strike price could represent opportunity if the company recovers.

How much does a Character AI software engineer make?+

Character AI software engineer total compensation ranges from approximately $200K for junior engineers to $650K+ for senior staff. The median is around $407K. Base salary typically falls between $180K and $280K, with equity grants making up a significant portion of total comp. See all [current Character AI openings](https://jobsbyculture.com/jobs?company=character).

Does Character AI pay more than Anthropic or OpenAI?+

No. Character AI’s median engineer TC of ~$407K is competitive for a Series A startup but falls below frontier AI labs. [OpenAI’s](https://jobsbyculture.com/blog/openai-compensation-2026) median engineer TC is $555K, and [Anthropic’s](https://jobsbyculture.com/blog/anthropic-compensation-2026) range is $300K–$490K. The key differences are company stage and equity risk — Character AI equity carries more uncertainty given the valuation compression and lack of liquidity.

Is Character AI hiring in 2026?+

Yes, though at a smaller scale than frontier labs. Character AI currently has [16 open positions](https://jobsbyculture.com/jobs?company=character) in engineering, research, product design, and monetization. Key hiring areas include AI safety, video model training, subscription monetization, and consumer product development. Roles are based in Palo Alto, CA.

What benefits does Character AI offer?+

Character AI offers health, dental, and vision coverage; a 401(k) plan with employer match; equity grants vesting over 4 years; flexible PTO; and a professional development budget. Benefits are competitive for a startup but not as extensive as those at larger AI labs like OpenAI (which offers 50% 401k match, 20 weeks parental leave, and daily catered meals).

What is Character AI’s equity worth?+

Character AI’s equity situation is complex. The company’s valuation dropped from ~$2.5B to ~$1B following the Google deal. Equity grants vest over 4 years at 25% per year as stock options. Key risks include: no clear liquidity path, declining valuation, and the strategic pivot away from LLM development. The bull case: 20M MAUs, $32M revenue, and a lower entry valuation that creates upside potential if the consumer pivot succeeds.

### See all 17 open Character AI roles

Filter by role, seniority, and culture values. Every listing includes compensation context.

[See Character AI Jobs →](https://jobsbyculture.com/jobs?company=character) [Character AI Culture Profile →](https://jobsbyculture.com/companies/character)

---

## Document: Cloudflare Compensation in 2026: Engineer Salary, RSUs & Total Comp by Level

# Cloudflare Compensation in 2026: Engineer Salary, RSUs & Total Comp by Level

> Cloudflare engineer compensation in 2026: $146K-$315K+ total comp by level (L1-L5), RSU vesting, NET stock impact, 20% layoff context, and how it compares to FAANG and AI companies.

Source: https://jobsbyculture.com/blog/cloudflare-compensation-2026
Markdown: https://jobsbyculture.com/blog/cloudflare-compensation-2026.md
Last updated: 2026-07-14

---
[Cloudflare](https://jobsbyculture.com/companies/cloudflare) occupies a fascinating position in the 2026 compensation landscape. It’s a public company (NYSE: NET) generating nearly $2.8 billion in annual revenue, building genuinely critical internet infrastructure, and paying engineers in the $146K–$315K+ range — which sounds strong until you benchmark it against the AI labs and FAANG companies competing for the same talent.

Then in Q1 2026, Cloudflare announced a 20% workforce reduction — roughly 1,100 employees — as part of an AI-first restructuring. Revenue grew 34% year-over-year, but the company is betting that AI-driven automation can replace a significant chunk of its workforce. For engineers evaluating a Cloudflare offer, the compensation conversation now involves a different set of questions: What happens to RSU grants during restructuring? How does NET stock volatility affect total comp? And is the base salary gap with FAANG worth the mission?

We analyzed verified compensation data across levels, employee reviews, and public filings to build the clearest picture available of what Cloudflare actually pays in 2026.

## Compensation at a Glance

$205K

Median Total Comp (US)

3.8 / 5

Comp & Benefits Rating

198

Open Roles

## Software Engineer Total Compensation by Level

Cloudflare uses a five-level engineering ladder (L1 through L5). Here’s the breakdown based on verified compensation data:

Level

Base Salary

RSUs/yr

Total Comp

L1 (Entry)

$134K

~$14K

~$148K

L2 (Mid-Junior)

$133K

~$24K

~$154K

L3 (Mid)

$165K

~$31K

~$194K

L4 (Senior)

$200K

~$43K

~$249K

L5 (Staff)

$209K

~$60K

~$315K+

A few things stand out. The base salary range is relatively compressed: $134K to $209K across five levels is tighter than what you see at Google ($130K–$290K) or Meta ($135K–$310K). The real differentiation happens in equity. RSU grants increase significantly at L4 and L5, where Cloudflare's comp becomes more competitive. At L3 — the level where most mid-career engineers sit — the total comp of ~$194K is meaningfully below FAANG equivalents.

## The RSU and Stock Factor

Cloudflare grants RSUs that vest on a standard 4-year schedule. The grants are denominated in NET stock, which means your total compensation fluctuates with the share price. This is a fundamentally different risk profile from cash-heavy packages at private companies or the mega-grants at frontier AI labs.

NET has been volatile. The stock saw significant swings in 2024–2025, and the Q1 2026 restructuring announcement — despite strong revenue growth — created further uncertainty. For engineers who joined when NET was at a low point, the RSU component has provided meaningful upside as the stock recovered. For those who joined at a local peak, the opposite is true.

The practical implication: when evaluating a Cloudflare offer, the RSU component is a bet on NET stock performance over 4 years. If you believe in Cloudflare’s long-term position in edge computing, AI inference infrastructure, and internet security, the equity could outperform the FAANG base salary gap. If you want predictable compensation, cash-heavy offers from private companies or the guaranteed RSU refreshers at Google/Meta may be safer.

### ESPP: The Hidden Comp Boost

Cloudflare offers an Employee Stock Purchase Plan (ESPP) with a 15% discount, allowing employees to contribute 0–10% of salary. At a 15% discount, ESPP effectively adds 2–3% to total comp for those who participate and immediately sell. It’s not a game-changer, but it’s free money that many employees overlook.

## How Cloudflare Compares

The most common complaint in compensation reviews is that Cloudflare base salaries are 10–20% below FAANG for equivalent levels. Here’s how that plays out at L3 (mid-level), the most common comparison point:

Company

L3 / Mid-Level Total

Difference

[Cloudflare](https://jobsbyculture.com/companies/cloudflare)

~$194K

—

[Stripe](https://jobsbyculture.com/companies/stripe)

~$280K

+44%

[Databricks](https://jobsbyculture.com/companies/databricks)

~$290K

+49%

[Anthropic](https://jobsbyculture.com/companies/anthropic)

~$340K

+75%

The gap is real. At mid-career, Cloudflare pays roughly 40–75% less than the highest-paying tech companies. But that comparison comes with caveats: Cloudflare is a public company with liquid RSUs (no IPO gamble), comprehensive benefits, and a product portfolio that isn’t going anywhere. The risk profile is fundamentally different from a pre-IPO AI startup where the equity might be worth zero.

The better comparison set for Cloudflare is other public infrastructure companies. Against companies like Twilio, [Elastic](https://jobsbyculture.com/companies/elastic), or [MongoDB](https://jobsbyculture.com/companies/mongodb), Cloudflare’s compensation is competitive — and the engineering challenges are arguably more interesting.

Employee Pro "Pay is good, high growth company — benefits are solid and the stock upside is real if you believe in the mission"

Employee Con "Compensation can lag behind FAANG competitors, especially base salary — no 401(k) match is frustrating"

## Benefits Package

Cloudflare’s benefits are standard for a public tech company, with one notable gap:

-   **Health insurance:** Comprehensive medical, dental, and vision coverage
-   **Parental leave:** 16 weeks — generous by US standards, competitive with most tech companies
-   **PTO:** Unlimited (with the usual caveats about whether unlimited PTO actually means less PTO in practice)
-   **401(k):** Available but _no employer match_ — this is the most cited benefit complaint in reviews. At companies where 401(k) matching is standard (typically 3–6% of salary), this gap represents $4K–$12K in annual missed compensation
-   **Wellness stipend:** Available for fitness and mental health
-   **ESPP:** 15% discount, 0–10% salary contribution

The missing 401(k) match is a real issue. For an L3 engineer earning $165K base, a 4% match would add $6,600 in annual tax-advantaged compensation. Multiply that by a 4-year tenure and you’re looking at $26K+ in missed savings. It’s the kind of benefit gap that doesn’t show up in offer letter comparisons but compounds significantly over time.

## The 2026 Restructuring Context

Any honest assessment of Cloudflare compensation in 2026 has to address the elephant: the company cut 20% of its workforce — approximately 1,100 people — in Q1 2026. The restructuring charges of $140–$150 million primarily went to severance and accelerated equity vesting for departing employees.

What does this mean for compensation at the post-restructuring Cloudflare?

-   **Severance was relatively generous.** The accelerated equity vesting for departing employees suggests Cloudflare handled the financial side responsibly, which matters for employer brand.
-   **Remaining employees may see refresher grants.** After layoffs, companies typically use refresher RSU grants to retain remaining talent. If Cloudflare follows this pattern, current employees could see meaningful equity bumps.
-   **The AI-first pivot may create new high-comp roles.** Cloudflare’s restructuring was explicitly tied to AI automation. The company is rehiring selectively — 258 open roles on our platform suggest they’re investing in different skills rather than simply cutting costs. AI/ML engineering roles at Cloudflare may command higher compensation than traditional infrastructure roles.
-   **Stock uncertainty persists.** The restructuring announcement initially hurt NET, and guidance concerns added to volatility. For RSU-heavy comp packages, this matters. Time your negotiations accordingly.

## Glassdoor Compensation Ratings

Cloudflare’s overall Glassdoor rating is 3.9 out of 5.0 based on 955 reviews, with Compensation & Benefits specifically rated at 3.8/5. Here’s the full breakdown:

Culture & Values 4.0

Overall Rating 3.9

Compensation & Benefits 3.8

Career Opportunities 3.8

Work-Life Balance 3.7

Senior Management 3.5

The 3.8 comp rating is middling — not bad, but not a standout. For context, [Stripe](https://jobsbyculture.com/companies/stripe) scores 4.5, [Anthropic](https://jobsbyculture.com/companies/anthropic) scores 4.5, and [Databricks](https://jobsbyculture.com/companies/databricks) scores 4.3 on compensation. Cloudflare’s comp score is in line with [HubSpot](https://jobsbyculture.com/companies/hubspot) (3.9) and [Datadog](https://jobsbyculture.com/companies/datadog) (3.8) — solid public companies that pay well but don’t blow the doors off.

## Negotiation Tips for Cloudflare Offers

If you’re evaluating or negotiating a Cloudflare offer, here are the highest-leverage moves based on what we’ve seen in the data:

-   **Push on RSUs, not base.** Cloudflare’s base salary bands are relatively fixed. The RSU component has more room for negotiation, especially with competing offers. An extra $10K/year in RSUs over 4 years is $40K in additional compensation (plus potential stock appreciation).
-   **Factor in ESPP.** The 15% ESPP discount is essentially free money. Factor it into your total comp calculation when comparing against cash-heavy offers.
-   **Level carefully.** The jump from L3 ($194K) to L4 ($249K) is 28%. If you have 5+ years of experience and are being leveled at L3, push back. The level determines your comp more than any negotiation on individual components.
-   **Ask about refresher grants.** Post-restructuring, Cloudflare may be offering enhanced refresher grants to retain key talent. Ask about the refresher cadence and typical grant sizes during the offer stage.
-   **Benchmark against public infrastructure companies, not FAANG.** If you use Google L4 comp as your negotiation anchor, you’ll be disappointed. Benchmark against Datadog, MongoDB, or Twilio for a more realistic comparison that Cloudflare’s comp team will engage with.

## Who Should Take a Cloudflare Offer

Cloudflare compensation makes the most sense for engineers who value three things: [product impact](https://jobsbyculture.com/values/product-impact) at global scale, liquid public equity with real upside potential, and the stability of a company generating $2.8B in revenue. The technical problems — building the edge network that handles 20%+ of all web traffic, defending against nation-state DDoS attacks, running AI inference at the edge — are genuinely hard and genuinely important.

If maximizing total cash compensation is your primary goal, [frontier AI companies](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) and FAANG will always pay more. But if you want to work on critical internet infrastructure at a company that’s not going anywhere, with liquid equity that doesn’t require an IPO to realize, Cloudflare’s comp package is solid — particularly at L4 and above, where the equity component becomes genuinely competitive.

For the full picture on Cloudflare’s culture, engineering environment, and what employees say beyond compensation, see our [Working at Cloudflare in 2026](https://jobsbyculture.com/blog/working-at-cloudflare-2026) deep-dive.

## Frequently Asked Questions About Cloudflare Compensation

How much do Cloudflare software engineers make in 2026?+

Total compensation ranges from $146K (L1) to $315K+ (L5) in the United States. The median is approximately $205K. This includes base salary ($134K–$209K), RSUs in NET stock, and bonus. The most common level for mid-career engineers (L3) pays around $194K total. See our [Cloudflare profile](https://jobsbyculture.com/companies/cloudflare) for open roles.

How does Cloudflare comp compare to FAANG?+

Base salaries are typically 10–20% below FAANG equivalents. At L3, Cloudflare pays ~$194K total vs Google ~$260K or Meta ~$280K. However, Cloudflare offers liquid public equity with real upside, and the gap narrows at L4-L5 where RSU grants become more substantial. See our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

What is Cloudflare's RSU vesting schedule?+

Cloudflare RSUs vest on a standard 4-year schedule. Grants are in NET stock (NYSE: NET). The company also offers ESPP with a 15% discount and 0–10% salary contribution. RSU refreshers are available based on performance, and post-restructuring refreshers may be enhanced.

Did Cloudflare have layoffs in 2026?+

Yes. In Q1 2026, Cloudflare cut approximately 20% of its workforce (~1,100 employees) as part of an AI-first restructuring. Restructuring charges of $140–$150M covered severance and accelerated equity vesting. Despite the cuts, the company has 258 open roles and is selectively rehiring for AI-focused positions.

Does Cloudflare offer 401(k) matching?+

No. Cloudflare offers a 401(k) plan but does not match employee contributions. This is the most common benefit complaint in employee reviews. At a 4% match on a $165K base, this represents approximately $6,600 in missed annual compensation compared to companies that offer matching.

What is Cloudflare's Glassdoor compensation rating?+

Cloudflare's Compensation & Benefits sub-score is 3.8 out of 5.0, based on 955 total reviews. The overall Glassdoor rating is 3.9/5 with 72% of employees recommending the company. CEO Matthew Prince has a 77% approval rating. See our [Cloudflare culture profile](https://jobsbyculture.com/companies/cloudflare) for the full breakdown.

### Browse Cloudflare's 258 open roles

See compensation context, culture values, and employee reviews alongside open positions at Cloudflare and 100+ other companies.

[View Cloudflare Profile →](https://jobsbyculture.com/companies/cloudflare) [Browse Cloudflare Jobs →](https://jobsbyculture.com/jobs?company=cloudflare)

---

## Document: Cohere Glassdoor Reviews Decoded 2026: What 33 Employees Really Say | JobsByCulture

# Cohere Glassdoor Reviews Decoded 2026: What 33 Employees Really Say | JobsByCulture

> Cohere

Source: https://jobsbyculture.com/blog/cohere-glassdoor-reviews-2026
Markdown: https://jobsbyculture.com/blog/cohere-glassdoor-reviews-2026.md
Last updated: 2026-07-14

---
Cohere is a Toronto-based enterprise-LLM lab — co-founder Aidan Gomez was one of the co-authors of the original Transformer paper ("Attention Is All You Need"). It builds large language models aimed squarely at enterprise deployment.

Cohere is one of the more divisive workplaces among the frontier AI labs: a 3.0 overall Glassdoor rating across 33 reviews, with sub-scores that sit notably below its better-rated peers. Individual reviews genuinely praise the colleagues and the research depth — but the aggregate points to real cultural and work-life friction that's worth understanding before you interview.

Below is the full breakdown, cross-referenced against our [Cohere culture profile](https://jobsbyculture.com/companies/cohere). Every figure here was checked against Glassdoor's own page this cycle — we don't recycle stale numbers, and we don't invent sub-scores that aren't published.

## The Numbers at a Glance

3.0 / 5.0

Overall Glassdoor Rating — 33 Reviews

Career Opportunities 2.6

Work-Life Balance 2.6

Culture & Values 2.5

Metric

Detail

Overall Rating

3.0 / 5.0

Total Reviews

33

Highest Sub-Score

Career Opportunities (2.6)

Lowest Sub-Score

Culture & Values (2.5)

## How to Read Cohere's 3.0 Rating

A single number hides as much as it reveals. Cohere's 3.0 puts it in the lower tier, which is worth taking seriously. Across the companies we've verified directly on Glassdoor this cycle, 3 of 3 rate higher. The more useful signal is the _shape_ of the scores — where the gap between the highest and lowest sub-score tells you what kind of trade-off you're signing up for. We re-verify every figure against Glassdoor's own page rather than recycling cached numbers, because review-based ratings drift as volume grows.

## What Employees Love (The Pros)

The positive themes across Cohere's reviews are consistent. Here's what comes up most often.

### 1\. Exceptional colleagues and research depth

What employees value Exceptional colleagues and research depth

The most positive reviews single out outstanding colleagues and a serious technical bar. Cohere is a real enterprise-LLM research lab — people who thrive there value the caliber of the work and the team around them.

### 2\. A rare technical lineage

What employees value A rare technical lineage

Cohere's co-founder Aidan Gomez was a co-author of the original Transformer paper that underpins modern LLMs. For researchers and engineers who want proximity to that lineage and frontier NLP work, the pedigree is a genuine draw.

### 3\. Frontier work with real ownership

What employees value Frontier work with real ownership

Because Cohere is smaller than the largest labs, reviewers note you can own meaningful model and product problems directly — the kind of scope that's harder to get at OpenAI- or Google-scale organizations.

## What Employees Warn About (The Cons)

No workplace is perfect. These are the recurring criticisms in Cohere's reviews — the things worth pressure-testing in your interview.

### 1\. Culture & Values is the weakest signal

What employees flag Culture & Values is the weakest signal

At 2.5/5, Culture & Values is Cohere's lowest verified sub-score — the clearest indicator that the day-to-day experience and company direction divide opinion among employees.

### 2\. Work-life balance and career growth both lag

What employees flag Work-life balance and career growth both lag

Both Work-Life Balance and Career Opportunities sit at 2.6/5. Combined with the 3.0 overall, the verified data suggests these are areas to probe hard rather than assume.

### 3\. Reorgs have affected retention

What employees flag Reorgs have affected retention

Multiple reviews describe a difficult atmosphere following organizational restructuring, with notable team turnover — a pattern worth asking directly about regarding your prospective team's stability.

### 4\. Direction and communication concerns

What employees flag Direction and communication concerns

Reviewers point to leadership communication and strategic clarity as areas for improvement. For a company competing against far larger labs, that uncertainty shows up in the sentiment.

## What About Compensation?

Compensation is one of the dimensions candidates ask about most for Cohere. For the full numbers — base, equity, and how packages compare to peers — see our full [guide to working at Cohere](https://jobsbyculture.com/blog/working-at-cohere-2026).

## How Cohere Compares

Here's Cohere against the other companies we've verified directly on Glassdoor this cycle. Ratings move as review volume grows, so treat this as a snapshot, not a permanent ranking.

Company

Glassdoor Rating

[Ramp](https://jobsbyculture.com/companies/ramp)

4.2 / 5.0

[Glean](https://jobsbyculture.com/companies/glean)

3.8 / 5.0

[Scale](https://jobsbyculture.com/companies/scale)

3.6 / 5.0

Cohere (this page)

3.0 / 5.0

For the full landscape, browse our [culture directory of 118 companies](https://jobsbyculture.com/companies) or [compare any two cultures side by side](https://jobsbyculture.com/compare).

## Who Should (and Shouldn't) Apply

**A strong fit:** Cohere can be a strong home for researchers and engineers who prize colleagues, a landmark technical lineage, and frontier NLP ownership — and who are willing to navigate cultural friction.

**Think twice if:** Given the below-peer 2.5 culture, 2.6 WLB, and 2.6 career sub-scores, treat the interview as your due-diligence window: ask pointed questions about team stability, direction, and growth before committing.

## Questions to Ask in Your Cohere Interview

The cons above aren't reasons to walk away — they're reasons to ask sharper questions. Use these to pressure-test whether the trade-offs apply to the specific team you'd join:

-   How stable has this specific team been over the past year, and how have recent reorganizations affected it?
-   How does leadership communicate strategy and priorities, and how often do they shift?
-   What does the career-growth path look like concretely for this role over the next 18 months?

## Frequently Asked Questions

What is Cohere's Glassdoor rating in 2026?+

Cohere has a 3.0 out of 5.0 Glassdoor rating based on 33 employee reviews. Verified sub-scores: Career Opportunities 2.6/5, Work-Life Balance 2.6/5, Culture & Values 2.5/5. See our full [Cohere culture profile](https://jobsbyculture.com/companies/cohere).

Is Cohere a good place to work?+

Cohere can be a strong home for researchers and engineers who prize colleagues, a landmark technical lineage, and frontier NLP ownership — and who are willing to navigate cultural friction. Given the below-peer 2.5 culture, 2.6 WLB, and 2.6 career sub-scores, treat the interview as your due-diligence window: ask pointed questions about team stability, direction, and growth before committing.

What is work-life balance like at Cohere?+

Cohere's work-life balance is rated 2.6/5 on Glassdoor — one of its lower sub-scores across 33 reviews.

How does Cohere compare to other AI companies?+

Compare Cohere against 118 companies in our [culture directory](https://jobsbyculture.com/companies), or run a side-by-side in our [culture comparison tool](https://jobsbyculture.com/compare).

### Explore Cohere on JobsByCulture

Browse open roles and dig into the full culture profile, ratings, and values.

[See Cohere Culture Profile →](https://jobsbyculture.com/companies/cohere) [Browse Cohere Jobs →](https://jobsbyculture.com/jobs?company=cohere)

### Browse 14,000+ AI & Tech Jobs

Find your next role at Cohere or any of the 118 companies in our culture directory.

[Browse All Jobs →](https://jobsbyculture.com/jobs) [Explore Culture Directory →](https://jobsbyculture.com/companies)

---

## Document: Coinbase Salary 2026: $188K–$547K TC, COIN RSUs & Post-Layoff Reality

# Coinbase Salary 2026: $188K–$547K TC, COIN RSUs & Post-Layoff Reality

> Coinbase compensation in 2026: $188K-$547K total comp for engineers, with publicly traded RSUs (NASDAQ: COIN). Real salary data by IC level, equity vesting, benefits, and how the May 2026 layoffs change the picture.

Source: https://jobsbyculture.com/blog/coinbase-compensation-2026
Markdown: https://jobsbyculture.com/blog/coinbase-compensation-2026.md
Last updated: 2026-07-14

---
TL;DR — Key Takeaways

-   Coinbase software engineer total comp ranges from **$188K (IC3) to $547K+ (90th percentile)**. A senior engineer (IC5) earns approximately **$410K** with $200K base, $180K RSUs, and $30K bonus.
-   Equity is **publicly traded RSUs** on NASDAQ under **COIN**, currently trading around **~$198**. RSUs vest over four years with a one-year cliff.
-   Coinbase cut **14% of its workforce (~700 employees)** in May 2026, citing AI acceleration and market volatility. Severance included 16 weeks base pay + 2 weeks per year of service + next equity vest + 6 months COBRA.
-   Truly **remote-first (95% of roles)** with location-independent pay. Glassdoor **3.7/5** overall, Comp & Benefits **4.3/5**, but WLB is **2.9/5** — one of the lowest in our database of 118 companies.

In This Article

1.  [Quick Stats at a Glance](#glance)
2.  [The Short Version](#short-version)
3.  [Salary by IC Level](#base-salary)
4.  [How COIN RSUs Work](#equity)
5.  [The May 2026 Layoffs & What They Mean](#layoffs)
6.  [Benefits & Perks](#benefits)
7.  [How Coinbase Compares](#comparison)
8.  [Negotiation Tips](#negotiation)
9.  [Frequently Asked Questions](#faq)

[Coinbase](https://jobsbyculture.com/companies/coinbase) occupies a strange position in the 2026 job market. The company just laid off 700 people — 14% of its workforce — and CEO Brian Armstrong framed it as an “AI-native” transformation, replacing management layers with “player-coaches” and leaning into automation. The stock is at $198, well below its all-time highs but still representing a substantial company. The Comp & Benefits Glassdoor score is an excellent 4.3/5. And the work-life balance score is 2.9/5 — among the lowest in our database of 118 profiled tech companies.

For engineers, the Coinbase proposition has always been clear: strong pay, remote-first flexibility, and a mission-driven crypto platform — in exchange for high intensity and periodic layoffs. The May 2026 cuts make the job security question louder, but the compensation remains genuinely competitive. This article breaks down exactly what Coinbase pays, how the equity works, and whether the tradeoffs are worth it in a post-layoff environment.

## Quick Stats at a Glance

Component

Detail

Company

Coinbase (NASDAQ: COIN)

Employees

~4,250 (post May 2026 layoffs)

Market Cap

~$40B (May 2026)

Glassdoor Overall

3.7 / 5.0

Comp & Benefits

4.3 / 5.0

Work-Life Balance

2.9 / 5.0

Recommend to Friend

54%

Engineer TC Range

$188K–$547K+ (IC3–IC6)

Senior Engineer TC (IC5)

~$410K

Equity Type

RSUs (publicly traded — NASDAQ: COIN)

Remote Policy

Remote-first (95% of roles)

95%

Of Coinbase roles are fully remote — with location-independent compensation

## The Short Version

Coinbase uses an IC (Individual Contributor) leveling system from IC3 (junior) through IC6+ (principal). Compensation is structured as base salary + RSU grants + performance bonus. The bonus target scales with level: 5% of base at IC3–IC4, 10% at IC5–IC6.

A typical IC5 (senior engineer) offer: $200K base, $180K in annual RSU grants (COIN stock), and a ~$30K performance bonus — totaling approximately $410K. Coinbase’s most distinctive compensation feature is **location-independent pay**. An engineer in Austin, Denver, or rural Montana earns the same base salary as one in San Francisco. Combined with fully remote work, this makes Coinbase one of the best-compensated remote engineering jobs in tech.

The catch is the 2.9/5 WLB score. Coinbase operates with what Armstrong calls a “high-performance” culture. The pay is strong because the expectations are high — and the layoff history means job security is not a given.

## Salary by IC Level

Coinbase’s engineering levels run from IC3 (junior) through IC6+ (principal/distinguished). These figures are based on verified salary reports from 2025–2026.

Level

Title

Base Salary

Annual RSUs

Bonus %

Est. Total Comp

IC3

Junior Software Engineer

$141K–$156K

~$40K–$50K

5%

~$188K–$215K

IC4

Software Engineer

$170K–$195K

~$100K–$140K

5%

~$280K–$345K

IC5

Senior Software Engineer

~$200K

~$180K

10%

~$410K

IC6+

Staff / Principal Engineer

$230K+

$250K+

10%+

$500K–$547K+

A few patterns worth noting: RSUs scale aggressively with level. At IC3, equity is roughly 20–25% of total comp. By IC5, it’s nearly 45%. This means senior engineers are disproportionately exposed to COIN stock price movements — a significant consideration given crypto-market volatility.

Interested in remote-first crypto engineering? See what’s open. [See open Coinbase positions →](https://jobsbyculture.com/jobs?company=coinbase)

## How COIN RSUs Work

Coinbase RSUs are publicly traded on NASDAQ under ticker COIN. Here’s how the equity structure works:

-   **Vesting schedule:** Four-year vesting with a one-year cliff. After the cliff, 25% of the grant vests on the one-year anniversary, and the remaining 75% vests monthly over the next three years (1/36 per month). This provides more frequent liquidity than the quarterly vesting used by some tech companies.
-   **Publicly traded = immediate liquidity.** Unlike pre-IPO companies, COIN RSUs vest into shares you can sell immediately on NASDAQ. No waiting for tender offers, no liquidity events, no lockup periods. The price you see is the price you get.
-   **Recurring grants.** Most full-time employees receive recurring annual RSU grants in addition to their initial four-year grant. This means your equity compensation doesn’t drop off a cliff after year four — Coinbase refreshes to keep total comp competitive.
-   **ESPP available.** Coinbase offers an Employee Stock Purchase Plan, allowing employees to buy COIN at a discount. At ~$198/share, this is a meaningful benefit if you believe in the long-term trajectory of the crypto market.
-   **Crypto-correlated volatility.** COIN stock is heavily correlated with Bitcoin and the broader crypto market. When crypto is up, COIN outperforms; when crypto is down, COIN underperforms. This makes Coinbase RSUs inherently more volatile than RSUs from a SaaS company or fintech like [Stripe](https://jobsbyculture.com/companies/stripe). If you hold COIN RSUs and also hold personal crypto, your total portfolio is heavily concentrated in one asset class — worth diversifying.

Pro — Employee review “The comp is real. Public RSUs that vest monthly after the cliff, strong base salary, remote from anywhere. When crypto is pumping, your TC goes through the roof. When it’s not, the base salary alone is still above-market for a remote role.”

Con — Employee review “Your compensation is a leveraged bet on crypto. If Bitcoin tanks 40%, COIN tanks 50%, and your RSUs are worth half of what your offer letter said. It’s exciting when it’s up and terrifying when it’s not.”

## The May 2026 Layoffs & What They Mean

On May 5, 2026, Coinbase CEO Brian Armstrong announced the company was cutting approximately 14% of its workforce — roughly 700 employees out of ~4,951. The stated reasons were twofold: market volatility and an acceleration toward becoming an “AI-native” organization.

The restructuring went beyond headcount reduction. Coinbase replaced traditional management layers with “player-coaches” — managers who also write code and ship product, rather than pure people-managers. Armstrong described it as turning the org chart “upside down.”

For compensation and career planning, the layoffs create several dynamics:

-   **Severance was generous.** Affected US employees received 16 weeks of base pay plus 2 additional weeks per year of service, their next scheduled equity vest, and 6 months of COBRA health coverage. This is well above the tech industry average and reflects Coinbase’s historically strong severance practices.
-   **Job security is a real concern.** This is Coinbase’s third significant round of layoffs (after January 2023 and June 2022). The 54% “recommend to a friend” rate on Glassdoor — far below the tech average of ~70% — reflects eroded trust. Engineers evaluating a Coinbase offer should factor in the possibility of future reductions.
-   **Remaining employees may benefit.** Fewer people doing the same revenue means higher per-employee productivity metrics. If Coinbase maintains or increases its equity refresh budget with a smaller headcount, remaining engineers could see larger grants. The “player-coach” model also opens up more senior IC roles as pure management positions are eliminated.
-   **AI is reshaping the team.** Armstrong explicitly cited AI as a reason for needing fewer employees. For engineers with AI/ML skills, this is actually a hiring signal — Coinbase will likely backfill some of the cut positions with AI-focused roles.

~700

Employees cut in May 2026 (14% of workforce) — Coinbase’s third major round of layoffs

Related Reading

-   [Working at Coinbase in 2026: Culture, Remote-First & What Employees Say](https://jobsbyculture.com/blog/working-at-coinbase-2026)
-   [Coinbase Interview Prep 2026: Process, Questions & How to Prepare](https://jobsbyculture.com/blog/coinbase-interview-prep-2026)
-   [AI Layoffs 2026: Who’s Cutting, Who’s Hiring & What It Means](https://jobsbyculture.com/blog/ai-layoffs-2026-who-is-hiring)

## Benefits & Perks

Coinbase’s benefits package supports the 4.3/5 Comp & Benefits Glassdoor score. The package is particularly strong for a remote-first company:

-   **Health insurance:** Comprehensive medical, dental, and vision coverage for employees and dependents. Mental health support included with therapy and counseling benefits.
-   **401(k):** Retirement savings plan available to all full-time employees.
-   **Parental leave:** Paid parental leave for both birthing and non-birthing parents.
-   **ESPP:** Employee Stock Purchase Plan to buy COIN at a discount — a tax-efficient way to accumulate equity.
-   **Wellness:** Gym membership reimbursement, wellness stipend, and wellness programs.
-   **Home office:** Stipend for remote office setup. Since 95% of roles are remote, this is a meaningful benefit that most employees actually use.
-   **PTO:** Flexible paid time off. However, the 2.9/5 WLB score suggests that the culture of intensity can make it difficult to fully disconnect.
-   **Crypto education:** Access to internal crypto education resources and, historically, crypto bonuses for new hires.

Con — Employee review “The benefits are great on paper. The problem is the 2.9 WLB score is accurate. You have unlimited PTO but the expectation is that you’re always available, always shipping. Taking a real vacation without checking Slack feels impossible. The comp makes up for it, but only to a point.”

## How Coinbase Compares

Coinbase competes for engineering talent with other crypto platforms, fintech companies, and increasingly with AI labs (given Armstrong’s AI-native ambitions). Here’s how senior engineer (IC5-equivalent) compensation stacks up:

Company

Sr. Eng TC

Glassdoor

Remote?

WLB Score

[Coinbase](https://jobsbyculture.com/companies/coinbase)

~$410K

3.7 / 5

95% remote

2.9 / 5

[Stripe](https://jobsbyculture.com/companies/stripe)

~$424K

4.0 / 5

Hybrid

3.6 / 5

[Robinhood](https://jobsbyculture.com/companies/robinhood)

~$400K

3.4 / 5

Hybrid

3.2 / 5

[Plaid](https://jobsbyculture.com/companies/plaid)

~$420K

4.0 / 5

Hybrid

3.8 / 5

[OpenAI](https://jobsbyculture.com/companies/openai)

~$555K

3.7 / 5

In-office

3.6 / 5

Key takeaways:

-   **Coinbase wins on remote.** No other company at this comp level offers 95% remote with location-independent pay. Stripe requires some office presence; Plaid is hybrid; OpenAI is largely in-office. If you want $400K+ TC from a cabin in Montana, Coinbase is the best option in fintech.
-   **Coinbase loses on WLB and culture.** A 2.9/5 WLB score and 54% recommend rate are the lowest among these peers. Stripe (3.6, ~80%), Plaid (3.8, ~80%), and even Robinhood (3.2, ~55%) score higher on at least one of these metrics. The compensation is the tradeoff for intensity.
-   **Crypto volatility is a unique risk.** COIN stock is correlated with Bitcoin. Stripe’s private RSUs, Plaid’s private equity, and even Robinhood’s HOOD stock are less volatile than COIN. Your actual TC at Coinbase could be 30% higher or 30% lower than the number in your offer letter, depending on what crypto does that year.
-   **Layoff risk is higher.** Three rounds of layoffs in four years (2022, 2023, 2026) is a pattern. Other companies on this list have had one layoff round at most. The generous severance partially offsets this, but it’s a real consideration for career stability.

## Negotiation Tips

If you receive a Coinbase offer, here’s how to approach the negotiation given the current landscape:

-   **Leverage the layoff timing.** Post-layoff, Coinbase needs to fill critical roles and retain remaining talent. If you’re interviewing for a role that was identified as essential (not cut), you have leverage. The company is aware of the optics and may be willing to offer more to attract quality candidates.
-   **Push for higher base salary over RSUs.** Given COIN’s crypto-correlated volatility, base salary is the most predictable component. A $15K base increase is worth more in certainty than a $40K RSU increase that could swing 30% in either direction.
-   **Negotiate RSU share count, not dollar value.** Since COIN price fluctuates significantly, locking in a specific number of shares rather than a dollar value protects you from the stock declining between offer and start date.
-   **Ask about the “player-coach” model.** The May 2026 restructuring eliminated many pure management roles. If you’re being hired at IC5+ and have leadership experience, clarify whether you’ll be expected to take on informal management responsibilities. If so, that’s additional scope that justifies additional compensation.
-   **IC level is the biggest lever.** The gap between IC4 ($280K–$345K) and IC5 ($410K) is $65K–$130K annually. Push for the highest level your experience supports during the interview, not after the offer.
-   **Factor in remote + no state income tax.** If you live in a state with no income tax (Texas, Florida, Nevada, Washington, etc.), Coinbase’s location-independent pay at $410K+ is worth significantly more in take-home pay than the same salary in California or New York. This is a real $20K–$40K annual advantage that’s often overlooked.

### Is Coinbase Compensation Worth It in 2026?

Coinbase pays well. A remote IC5 earning $410K from a zero-income-tax state is genuinely one of the best compensation setups in tech. The 4.3/5 Comp & Benefits score reflects real employee satisfaction with pay. But the tradeoffs are real: a 2.9/5 WLB score that employees consistently confirm, a third round of layoffs in four years, and RSU values tied to the volatile crypto market. The right Coinbase candidate is someone who thrives in high-intensity environments, believes in the crypto mission, and wants maximum compensation flexibility (remote, location-independent). The wrong candidate is someone who values stability, work-life balance, or predictable equity returns. Know which one you are before accepting the offer.

## Open Positions at Coinbase

Despite the recent layoffs, Coinbase continues to hire selectively for critical engineering, AI/ML, and infrastructure roles. The company’s shift toward an “AI-native” model means AI-focused positions are likely to grow even as overall headcount was reduced. All engineering roles are remote-first with location-independent compensation.

For the full list of live openings, visit the [Coinbase jobs page on JobsByCulture](https://jobsbyculture.com/jobs?company=coinbase). You can also explore the [Coinbase culture profile](https://jobsbyculture.com/companies/coinbase) for employee reviews, culture values, and a full breakdown of remote-first engineering culture.

## Frequently Asked Questions

What is the average salary at Coinbase in 2026?+

Coinbase software engineer total compensation ranges from approximately $188K at IC3 (junior) to $547K+ at IC6 (staff/principal). A senior engineer (IC5) earns approximately $410K in total comp, combining a $200K base salary, $180K in RSUs (NASDAQ: COIN), and a $30K performance bonus. Coinbase uses location-independent pay, meaning the same salary applies regardless of where you live.

Did Coinbase have layoffs in 2026?+

Yes. In May 2026, Coinbase CEO Brian Armstrong announced a 14% workforce reduction affecting approximately 700 employees. The layoffs were attributed to AI acceleration and market volatility. This was Coinbase’s third major round of layoffs since 2022. Affected US employees received 16 weeks of base pay plus 2 weeks per year of service, their next equity vest, and 6 months of COBRA health coverage.

What kind of equity does Coinbase give employees?+

Coinbase grants RSUs (Restricted Stock Units) that are publicly traded on NASDAQ under ticker COIN. RSUs vest over four years with a one-year cliff: 25% vests after year one, then the remaining 75% vests monthly. Coinbase also offers an ESPP at a discount. As of May 2026, COIN trades around $198.

Is Coinbase remote-friendly?+

Yes, Coinbase is one of the most genuinely remote-first companies in tech. Approximately 95% of roles are fully remote with no requirement to live near an office. Compensation is location-independent — engineers in Austin or Denver earn the same base as those in San Francisco. This has been Coinbase’s policy since 2020.

How does Coinbase comp compare to other crypto companies?+

Coinbase is among the highest-paying crypto companies at the IC5 level (~$410K). The main advantages over competitors like Kraken or Blockchain.com are publicly traded RSUs (immediate liquidity), a fully remote model with location-independent pay, and stronger benefits. The tradeoff is a lower WLB score (2.9/5) and a pattern of layoffs.

What benefits does Coinbase offer?+

Coinbase offers comprehensive medical, dental, and vision coverage; mental health support; gym membership reimbursement; paid parental leave; flexible PTO; 401(k); ESPP; home office stipend; and crypto education resources. The Comp & Benefits Glassdoor score is 4.3/5.

Can you negotiate a Coinbase offer?+

Yes, Coinbase offers are negotiable. Focus on base salary (most predictable), RSU share count, signing bonus, and IC level. Competing offers from Stripe, Robinhood, Kraken, or fintech companies provide leverage. Post-layoff, Coinbase may be more competitive on compensation for critical roles it needs to fill.

### See open Coinbase roles

Filter by role, seniority, and culture values. Remote-first with location-independent pay.

[See Coinbase Jobs →](https://jobsbyculture.com/jobs?company=coinbase) [Coinbase Culture Profile →](https://jobsbyculture.com/companies/coinbase)

---

## Document: 100+ Congratulations on New Job Messages for Colleagues (2026) | JobsByCulture

# 100+ Congratulations on New Job Messages for Colleagues (2026) | JobsByCulture

> 100+ genuine congratulations messages for someone starting a new job — organized by tone (general, funny, professional, short, inspirational, personal). Copy and paste ready.

Source: https://jobsbyculture.com/blog/congratulations-on-new-job-messages
Markdown: https://jobsbyculture.com/blog/congratulations-on-new-job-messages.md
Last updated: 2026-07-14

---
Few moments in a colleague's career feel as good as landing a new job. The interview gauntlet is over. The offer is signed. The future looks different and exciting. And somewhere in all that celebration, they're also wondering: did the people I worked with actually notice? Did my work here matter?

That's where your message comes in. A thoughtful congratulations — even a short one — tells someone that their effort was seen and that they're leaving behind people who genuinely want them to succeed. It takes sixty seconds to write and stays with them far longer than you'd expect.

We've collected over 100 messages organized by tone and relationship. Some are ready to copy and paste as-is. Others work best when you swap in a specific detail — a project you worked on together, a quality you admire, the name of their new company. The more specific you get, the more it lands. If you're organizing a group card for the whole team, you can [create a free digital card](https://jobsbyculture.com/culture-cards) that everyone can sign from anywhere.

## General Congratulations Messages

Warm, genuine messages that work for any colleague — whether you worked closely together or just shared a floor.

1.  Congratulations on the new role. You earned this, and everyone who's worked with you knows it.
2.  I just heard the news — what a move. Your new team has no idea how lucky they're about to get.
3.  This is so well deserved. You've been one of the most thoughtful, reliable people on this team, and I know you'll bring that same energy wherever you go.
4.  Huge congratulations. I've watched you grow into someone who tackles problems most people avoid, and it's been genuinely impressive. Go crush it.
5.  You're going to be brilliant in this next chapter. Thanks for making this one better just by being part of it.
6.  Congratulations on taking the leap. Change isn't easy, but you've always been someone who runs toward the hard stuff, not away from it.
7.  The best part about your news is that I'm not surprised at all. You've been building toward something like this for a while. Well done.
8.  I've always admired the way you approach your work — thorough but never slow, ambitious but never reckless. Your new company is getting someone special.
9.  Congratulations. I hope this role gives you the room to do the kind of work you've always been capable of. You deserve a stage that matches your talent.
10.  You made this team better in ways that are hard to quantify but impossible to ignore. Congratulations on an exciting next step.
11.  Every team needs someone who raises the bar without making everyone else feel small. That was you. Congratulations, and thank you.
12.  I'm so happy for you. And a little jealous, honestly. But mostly happy. Go do incredible things.
13.  Congratulations on the new gig. The fact that you're always growing, always reaching for the next thing — that's what makes you exceptional.
14.  Your work here mattered more than you probably realize. The standards you set, the way you showed up — those things stick around even after you leave.
15.  This is great news. I have zero doubt you'll thrive in the new role. You have this way of making complex things look easy, and that's a rare gift.
16.  Congratulations. I'll miss having you on the team, but I'm genuinely excited to see what you build next. Keep me posted.
17.  Landing a job like that isn't luck — it's the result of showing up consistently and doing excellent work. You did that. Congratulations.
18.  I remember when you first joined the team, and watching you grow into this moment has been one of the best parts of working here. Well earned.
19.  You're leaving some big shoes to fill. Congratulations on a move that's going to take your career to a whole new level.
20.  Congratulations. I hope your new team appreciates your bad puns as much as we did. On second thought, I hope they appreciate your work ethic. The puns are an acquired taste.

## Funny Congratulations Messages

When the relationship is casual and the group chat energy is high, a little humor goes further than a formal note. These keep things light without veering into passive-aggressive territory.

1.  Congrats on the new job. I'm happy for you and furious at you in roughly equal measure.
2.  So you're telling me I have to find a new person to get coffee with, complain about Jira with, and blame for production outages? Unacceptable. But congrats.
3.  Congratulations on your promotion from "my favorite coworker" to "that person I used to work with who never replies to my texts." I see how it is.
4.  Your new company passed the background check on you? Bold move on their part. Congratulations.
5.  I'd say this place won't be the same without you, but I think the real story is that this place drove you to leave. Fair enough. Congrats.
6.  Congratulations on the new gig. I'm not saying you were the only thing keeping this team together, but... actually, yes. That's exactly what I'm saying.
7.  I hope your new office has better snacks than ours. The bar is underground.
8.  Please don't become one of those people who talks about their new company's "culture" and "values" at every dinner. We all know you just wanted a raise. Congrats on getting one.
9.  You know what they say: when one door closes, another opens, and behind it is a company that probably has better health insurance. Good call.
10.  I'm going to miss you, but not enough to follow you. I have a good thing going with this parking spot. Congratulations, though.
11.  Congrats on the new job. I've already started a support group for the people you're leaving behind. First meeting is at happy hour. You're buying.
12.  On a scale of "slightly annoyed" to "betrayed," I'd say I'm at a solid "begrudgingly proud of you." Congrats.
13.  Your new employer clearly didn't check your browser history or your Slack reaction game. Their loss is... still their gain, somehow. Congrats.
14.  I give it two weeks before they realize you're the kind of person who eats lunch at their desk at 11:15 AM. But by then they'll love you too much to care. Congrats.
15.  Congratulations on escaping before they made us do another team-building exercise. Smart. Very smart.
16.  I'm going to have to update my "favorite colleagues, ranked" spreadsheet. You've created a lot of extra work for me. Congrats on the job, I guess.
17.  Your new team is about to discover what we've known for years: you're impossible to replace and slightly impossible to manage. They'll love you.
18.  Congrats. I looked up your new company on Glassdoor and they have 4.2 stars. So basically you're trading up from us. Noted.
19.  I hope your new manager knows that you function best with exactly 2.5 cups of coffee, no meetings before 10 AM, and at least one compliment per week. I'm sending them the manual.
20.  Leaving right before the busiest quarter of the year? That's not a career move, that's a tactical retreat. Respect. And congrats.

### Sending a group congratulations card?

Collect messages from the whole team in one place. [Create a free digital group card](https://jobsbyculture.com/culture-cards) that everyone can sign — works perfectly for remote and hybrid teams.

## Professional & Formal Messages

For managers, mentors, clients, or colleagues where a more measured tone fits the relationship. These work well for LinkedIn comments, formal emails, or company-wide announcements.

1.  Congratulations on your new position. Your dedication and expertise have always set a high standard, and I'm confident you'll bring that same excellence to your next role.
2.  I've had the privilege of working with many talented people, and you stand out among them. Wishing you every success as you begin this next chapter.
3.  Your contributions to our team have been significant and lasting. Congratulations on an opportunity that clearly reflects the caliber of your work.
4.  Please accept my sincere congratulations. Your new organization is gaining a professional of remarkable ability, and I have no doubt you will make an immediate impact.
5.  Congratulations on the new role. Your strategic thinking and collaborative approach have been invaluable to our team. I'm certain your new colleagues will benefit just as we have.
6.  I've always been impressed by your ability to balance technical depth with clear communication. That combination will serve you well in any organization. Best wishes.
7.  It has been a genuine pleasure working alongside you. Your professionalism and positive approach to challenges have earned the respect of everyone on the team. Congratulations.
8.  Your decision to pursue this opportunity shows the same thoughtfulness you've brought to every decision here. I trust your judgment and wish you continued success.
9.  Congratulations on securing a role that recognizes your potential. I've watched you develop your skills with admirable focus, and this is a well-earned outcome.
10.  Thank you for the standard of work you've maintained during your time with us. Your integrity and diligence have not gone unnoticed. Congratulations on the new position.
11.  I want to personally thank you for your partnership on our shared initiatives. Your reliability and insight made our collaboration productive and enjoyable. Best wishes for the future.
12.  Congratulations. This move aligns well with the trajectory I've seen you building, and I'm pleased to see it come together. I hope we have occasion to collaborate again.
13.  Your mentorship and guidance over the past two years have made a meaningful difference in my career. Congratulations on your new role — it is thoroughly deserved.
14.  I've always valued your perspective in our discussions. Your ability to ask the right questions and challenge assumptions made every project stronger. Wishing you the very best.
15.  Congratulations on this well-deserved advancement. Please know that our professional connection doesn't end here — I look forward to staying in touch.
16.  Your leadership on the team has been a model of how to balance results with relationships. Congratulations on an opportunity that matches your capabilities.
17.  Thank you for the knowledge you've shared and the example you've set. Congratulations on a transition that will undoubtedly bring out the best in you.
18.  Your ability to remain composed under pressure and deliver consistently has earned my deep respect. I'm confident your new team will see the same qualities immediately. Congratulations.

## Short & Sweet Messages

When you need something concise — for a group card with limited space, a quick Slack message, or a LinkedIn comment where brevity works best.

1.  Huge congrats. They're lucky to have you.
2.  So well deserved. Go get 'em.
3.  Congratulations — this is going to be great for you.
4.  Best news I've heard all week. Congrats.
5.  Thrilled for you. You've earned this.
6.  Congrats on the new chapter. Make it a good one.
7.  Proud of you. Genuinely.
8.  This is just the beginning. Congratulations.
9.  What a move. Well done.
10.  Happy for you, sad for us. Mostly happy.
11.  You deserve every bit of this. Congrats.
12.  New job, who dis? Congrats.
13.  One word: overdue. Congratulations.
14.  The right person, the right role, the right time. Congrats.
15.  So excited for you. Go make waves.
16.  Knew it was only a matter of time. Congrats.
17.  You're going to absolutely crush it. Congrats.
18.  Well played. Wishing you the best.
19.  Congrats. Don't forget us little people.
20.  Big things ahead. I can feel it.

## Inspirational Congratulations Messages

For moments that call for something more motivating — when someone's making a bold career move, switching industries, or stepping into a role that stretches them.

1.  Most people stay where it's comfortable. You chose where it's meaningful. That takes real courage. Congratulations.
2.  The best careers aren't linear — they're built on moments exactly like this one, where you decide to bet on yourself. You made the right call.
3.  Congratulations on choosing growth over comfort. That's a decision you'll never regret, even on the hard days.
4.  Every chapter of your career has been building toward this. You didn't just get a new job — you unlocked the next version of yourself. Go be that person.
5.  The people who change industries, take risks, and refuse to settle are the ones who end up building careers worth talking about. You're one of those people. Congrats.
6.  Congratulations. Remember that every expert was once a beginner. The fact that you're willing to start fresh in a new environment says more about your character than any resume could.
7.  You've proven something important: you don't wait for opportunity to find you. You go build it. That mindset is going to take you further than any job title ever will.
8.  Starting something new is terrifying. Staying somewhere that's stopped growing you is worse. You chose bravely. Now go make the most of it.
9.  Congratulations on closing one chapter with grace and opening another with ambition. The way you handle transitions says a lot about who you are.
10.  Five years from now, you're going to look back at this moment and realize it changed everything. I'm so glad you had the courage to make the jump.
11.  You're walking into a room full of strangers who will eventually become collaborators, mentors, and friends. That's the beautiful part about starting over. Enjoy every minute of it.
12.  Congratulations. Your willingness to be uncomfortable in the short term so you can grow in the long term is exactly what separates good careers from great ones.
13.  The hardest part is already done — you made the decision. Now all that's left is showing up and being the person who got hired in the first place. They chose you for a reason.
14.  Some people spend their whole careers wondering "what if." You just answered that question. Congratulations on choosing action over regret.
15.  Every great career has a handful of defining moments — the ones you look back on and think, "that's when everything shifted." This is one of yours. Make it count.
16.  Congratulations on refusing to be defined by a single job, company, or title. The most interesting people are the ones who keep evolving. You're one of them.
17.  You didn't just change jobs — you changed what's possible for yourself. That ripple effect is going to touch everything: your confidence, your creativity, your impact. Congratulations.
18.  The world is full of people who talk about making moves. You actually made one. That's the difference between dreaming and doing. Well done.

## Messages for Close Friends & Colleagues

For the people who became more than coworkers — the ones you grabbed lunch with, vented to after bad meetings, and celebrated wins with. These messages can afford to be personal and emotional.

1.  I keep trying to be happy for you, and I am, but I'm also a little devastated. Who am I going to debrief with after every all-hands? Congratulations, you absolute traitor.
2.  You're going to thrive at this new place. I know it. But selfishly, I wish you were thriving right here, one desk over, where I could steal your good ideas in real time.
3.  Congratulations. I'm proud of you in a way I didn't expect to feel about a coworker. Somewhere along the way you stopped being "just a colleague" and became one of my people.
4.  Remember when we stayed until midnight trying to fix that deployment? Or when we celebrated the launch with terrible champagne from the corner store? Those memories aren't going anywhere, even if you are.
5.  You've been my thinking partner, my sounding board, and the person who always knew when I needed to take a walk and stop staring at my screen. I'm going to miss that more than I can say.
6.  I know this is the right move for you. I've known it for a while, honestly. You outgrew this place in the best possible way. Congratulations on finding somewhere that matches who you've become.
7.  The worst part about your new job is that I'll have to find someone else to sit next to at company events so I look like I have friends. The best part is watching you go after what you want.
8.  Congratulations. I need you to know that the last two years of working together have been some of the best of my career, and you're a huge reason why. Don't let that go to your head.
9.  You've talked about making this kind of move for months, and watching you actually do it makes me genuinely proud. You backed yourself when it would have been easier to stay put. That takes guts.
10.  I'm not going to say "don't be a stranger" because that's what everyone says and then nobody follows through. Instead: dinner next Thursday? Same place? Congratulations.
11.  We started on the same team, grew into different roles, and somehow stayed close through all of it. A job change isn't going to change that. Congratulations — you deserve this more than anyone I know.
12.  Congratulations on the new gig. I'm going to miss our morning coffee ritual, our running commentary on Slack, and your ability to make even the most boring status meeting tolerable. But mostly, I'm going to miss you.
13.  You know that feeling when someone you care about gets exactly what they've been working toward? That's what I'm feeling right now. Pure, uncomplicated happiness for you. Well done.
14.  This place was better because you were in it. The team was stronger, the work was more fun, and the culture was healthier. That's your legacy here. Now go build another one.
15.  I already know we'll drift into the "like each other's LinkedIn posts but never actually hang out" zone. I'm fighting it. Lunch next week. Non-negotiable. Congrats.
16.  Congratulations. When things get hard at the new place — and they will, because that's how growth works — call me. I'll talk you through it the same way you've done for me a hundred times.

### Create a congratulations card for your colleague

Collect messages from the whole team in one digital card. Free, takes 30 seconds, and your colleague gets a keepsake they'll actually want to keep.

[Create a Free Card →](https://jobsbyculture.com/culture-cards) [More Workplace Moments →](https://jobsbyculture.com/blog)

## Tips for Writing Your Own Congratulations Message

The messages above will get you 90% of the way there. But if you want to write something truly personal, these principles will help.

-   **Name something specific.** "Congrats on the new job" is fine. "Congrats — after watching you turn around the Q2 launch when everything was falling apart, I knew it was only a matter of time before someone bigger noticed you" is unforgettable. One real detail elevates everything.
-   **Acknowledge the journey, not just the destination.** Landing a new job is the result of months of searching, interviewing, and deciding. Saying "I know this wasn't easy" or "I'm glad the search paid off" shows you see the whole picture, not just the announcement.
-   **Match your message to your relationship.** A two-sentence congratulations from an acquaintance is perfect. A two-sentence congratulations from your closest work friend feels thin. Let the length and depth reflect the relationship honestly.
-   **Don't make it about the company they're joining.** Unless you know specifics about the new role, focus on the person, not the brand. "Congratulations on the Google offer" is less meaningful than "Congratulations — any team that gets to work with you is in for a treat."
-   **Be forward-looking.** Unlike farewell messages that look backward at shared memories, congratulations messages should primarily look ahead. What are you excited for them to experience? What do you think they'll accomplish? That optimism is the whole point.
-   **Skip the backhanded compliments.** "Congrats, we always knew you were too good for us" or "I guess we weren't enough for you" — even said jokingly — can land wrong. If you're going for humor, make yourself the target, not them or the company.

## When and How to Send Your Message

The medium matters almost as much as the message. Here's a quick guide for choosing the right channel.

-   **Slack or Teams DM** — best for quick, informal congratulations. Ideal for colleagues you work with daily. Send it within hours of hearing the news.
-   **Group card** — the best option when the whole team wants to contribute. [Digital group cards](https://jobsbyculture.com/culture-cards) work well for remote and hybrid teams. Start it 3–5 days before their last day.
-   **LinkedIn comment or DM** — perfect for professional connections, former colleagues, or people you don't have a personal number for. A thoughtful comment on their "new position" post is visible and meaningful.
-   **Personal text or email** — reserved for close colleagues and friends. This signals that the relationship extends beyond the office. Best sent the day you hear the news.
-   **Handwritten note** — increasingly rare, which makes it increasingly powerful. A physical card on someone's desk or mailed to their home stands out in a digital world.

The single most important rule: send it promptly. A congratulations that arrives the day they share the news feels genuine and enthusiastic. One that arrives two weeks later feels like an obligation. If you missed the window, it's still better late than never — just acknowledge it. "Late to the party, but I just saw your news and had to reach out."

## Frequently Asked Questions

What should I write in a congratulations card for a new job?+

Start by acknowledging the achievement — landing a new job is a big deal. Then add something specific: mention a quality that makes them great at what they do, reference the journey that led to this moment, or say something about their new role. End with a genuine wish for their success. Keep it real — a short, specific message is always better than a long, generic one.

How do you congratulate someone on a new job professionally?+

For a professional congratulations, keep the tone warm but measured. Acknowledge their accomplishment, mention something you admired about their work, and wish them well in the new role. Avoid overly casual language or inside jokes. Example: "Congratulations on the new position. Your analytical mind and collaborative approach will serve you well. Wishing you continued success."

What's a funny way to congratulate someone on a new job?+

The best funny congratulations messages are self-deprecating or playfully jealous. Joke about how you'll miss them, how their departure affects you, or how the office will fall apart without them. Avoid humor about their reasons for leaving or anything that could be read as passive-aggressive. Example: "Congrats on the new gig. I'm happy for you and furious at you in roughly equal measure."

Should I send a congratulations message on LinkedIn?+

Yes — LinkedIn is one of the best places to congratulate someone on a new job, especially if you're not close enough for a personal text. Comment on their "new position" announcement or send a direct message. Public comments are great for visibility, but a private message feels more personal. Either way, make it specific rather than just clicking the generic "Congratulate" button.

When should I send a congratulations message for a new job?+

Send it as soon as you hear the news — timing matters. A congratulations that arrives within 24 hours feels genuine and excited. One that arrives two weeks later feels like an afterthought. If you missed the initial announcement, it's still better late than never — just acknowledge the delay: "Late to the party, but I just saw your news and had to say congratulations."

What's the difference between a congratulations message and a farewell message?+

A congratulations message focuses on the person's achievement and their future — it's forward-looking and celebratory. A [farewell message](https://jobsbyculture.com/blog/farewell-messages-for-colleagues) focuses on the relationship you shared and what you'll miss — it's backward-looking and emotional. Many situations call for both, but they serve different purposes. If someone is leaving your team, you might send a farewell. If a LinkedIn connection announces a new role, a congratulations is the right call.

---

## Document: CoreWeave Salary 2026: $195K–$643K TC, Post-IPO Equity & Levels

# CoreWeave Salary 2026: $195K–$643K TC, Post-IPO Equity & Levels

> CoreWeave compensation in 2026: $195K-$643K total comp by level, CRWV stock post-IPO (up 200%+), hardware engineer pay ($427K-$606K), and how GPU cloud infrastructure salaries compare to other AI companies.

Source: https://jobsbyculture.com/blog/coreweave-compensation-2026
Markdown: https://jobsbyculture.com/blog/coreweave-compensation-2026.md
Last updated: 2026-07-14

---
[CoreWeave](https://jobsbyculture.com/companies/coreweave) has had one of the most dramatic trajectories in tech. The company pivoted from cryptocurrency mining to GPU cloud infrastructure in 2022, IPO’d on the Nasdaq in March 2025, and has since watched its stock price climb over 200%. Q1 2026 revenue hit $2.1 billion — roughly double the prior year — with a contracted backlog approaching $100 billion.

That growth has made CoreWeave one of the most aggressive hirers in AI infrastructure, growing from roughly 880 employees to over 2,100 in the span of a year. But rapid growth in a capital-intensive industry raises a natural question: does the compensation match the intensity? We analyzed verified salary data, employee reviews, and public filings to build the most complete picture of CoreWeave compensation in 2026.

## CoreWeave Compensation at a Glance

$369K

Median SWE Total Comp

$427K

Median HW Eng Total Comp

200%+

CRWV Stock Since IPO

Ticker

CRWV (Nasdaq)

IPO Date

March 28, 2025

IPO Price

$40/share

Current Price

~$105+ (May 2026)

Q1 2026 Revenue

~$2.1B

Contracted Backlog

~$100B

Company Size

~2,100 employees

Glassdoor Rating

3.4 / 5.0 (70 reviews)

Comp & Benefits Rating

3.9 / 5.0

## Software Engineer Compensation by Level

CoreWeave’s software engineering compensation is structured around base salary, RSU grants (CRWV stock), and performance bonuses. As a newly public company, the equity component is now liquid — a significant advantage over pre-IPO startups where equity is theoretical until an exit event.

Level

Base Salary

Total Comp (TC)

Software Engineer

$140K – $180K

$195K – $280K

Senior Software Engineer

$175K – $220K

$280K – $400K

Staff Software Engineer

$200K – $260K

$400K – $550K

Principal / Senior Staff

$240K – $300K

$500K – $643K+

The median software engineer total compensation is approximately $369K, which places CoreWeave competitively within the AI infrastructure tier. The range is wide — from $195K at entry levels to $643K+ at Principal — reflecting both the company’s youth (standardized bands are still evolving) and the premium placed on specialized GPU infrastructure expertise.

What makes these numbers particularly interesting is the equity component. RSU grants vest over four years with a one-year cliff, standard for public tech companies. But the 200%+ stock appreciation since IPO means that employees who received grants priced near the $40 IPO price are sitting on equity worth 2.5x+ what it was at grant time. For employees joining now, the stock is priced at current market rates — so the upside thesis depends on your view of CoreWeave’s future growth.

## Hardware Engineer Compensation

CoreWeave’s hardware engineers are among the best-compensated in the industry. This makes sense: the company operates 32+ data centers with over 250,000 GPUs. Managing GPU cluster infrastructure at this scale requires rare expertise in thermal management, power distribution, high-performance networking, and GPU systems architecture.

Role

Total Comp Range

Median TC

Hardware Engineer

$427K – $606K

$427K

Data Center Engineer

$150K – $280K

$210K

SWE Manager

$206K – $288K

$206K

The $427K–$606K hardware engineer range is eye-catching. These numbers reflect the scarcity of people who understand GPU cluster design at scale. The talent pool overlaps with NVIDIA, AMD, Google TPU teams, and hyperscale cloud providers — all of which compete fiercely for the same engineers. CoreWeave has to pay a premium because GPU infrastructure expertise can’t be easily trained; it requires years of hands-on experience with large-scale GPU deployments.

## How CoreWeave Comp Compares

Let’s put CoreWeave’s compensation in context against other companies in the AI infrastructure and cloud space.

Company

SWE Median TC

Glassdoor Comp Rating

[OpenAI](https://jobsbyculture.com/companies/openai)

$450K+

4.3

[Anthropic](https://jobsbyculture.com/companies/anthropic)

$395K

4.5

**CoreWeave**

**$369K**

**3.9**

[Databricks](https://jobsbyculture.com/companies/databricks)

$340K

4.1

[Cloudflare](https://jobsbyculture.com/companies/cloudflare)

$315K

3.8

CoreWeave sits in the upper middle of the AI compensation spectrum. It pays less than the frontier AI labs ([OpenAI](https://jobsbyculture.com/companies/openai), [Anthropic](https://jobsbyculture.com/companies/anthropic)) but more than most publicly traded infrastructure companies. The 3.9 Glassdoor comp rating confirms that employees generally feel the pay is fair — though not as enthusiastically as at companies like Anthropic (4.5) where equity upside and cash compensation are both exceptionally strong.

The key differentiator is liquidity. Unlike pre-IPO companies where equity is a promise, CoreWeave’s RSUs trade on the Nasdaq. You can sell them after they vest. That liquidity premium matters — especially if you’ve been burned by pre-IPO equity at previous startups that never went public.

## The Post-IPO Equity Story

CoreWeave’s IPO is one of the defining tech market events of 2025–26. The stock launched at $40 per share in March 2025 — below the expected $47–$55 range, which briefly rattled confidence. But the subsequent performance has been extraordinary: CRWV has climbed over 200%, with shares trading above $105 as of May 2026.

For employees, this trajectory creates two very different experiences depending on when you joined:

-   **Pre-IPO hires (2022–early 2025):** These employees received options or RSUs at pre-IPO prices. Many are sitting on significant paper gains. The standard four-year vesting schedule means the earliest pre-IPO grants are now partially liquid, with more shares vesting each quarter.
-   **Post-IPO hires (mid-2025–2026):** New employees receive RSUs priced at current market rates. The upside thesis depends on CoreWeave continuing to grow. With $100B in contracted backlog and revenue doubling year-over-year, the bull case is strong — but the stock is no longer cheap.

The NVIDIA relationship adds another dimension. NVIDIA invested $2 billion in CoreWeave in January 2026 and is one of the company’s largest customers. This creates a flywheel: NVIDIA needs GPU cloud capacity, CoreWeave provides it, and NVIDIA’s investment supports CoreWeave’s expansion. For employees, the NVIDIA backing provides a degree of stability — your largest customer is also your largest investor.

## Benefits and Perks

CoreWeave offers a standard tech company benefits package:

-   **Health insurance:** Comprehensive medical, dental, and vision coverage
-   **401(k):** Company match on retirement contributions
-   **PTO:** Unlimited paid time off (with the usual caveats — unlimited PTO at a high-growth company often means “take what you can”)
-   **Equity:** RSU grants with standard four-year vesting
-   **Performance bonuses:** Annual bonus tied to individual and company performance

The benefits package is solid but not exceptional. Employee reviews rate compensation & benefits at 3.9/5 — the highest sub-score in CoreWeave’s Glassdoor profile. The main complaint isn’t about the pay itself but about the intensity required to earn it. Multiple reviews note that the compensation is fair for the work, but the work demands are high.

## What Employees Say About Comp

Employee Pro “Strong compensation and equity packages — especially post-IPO, the stock appreciation has been incredible.”

Employee Pro “Openness to ideas, collaborative problem-solving, and fact-based decision-making make your voice matter.”

Employee Con “Work-life balance lags behind similar companies — late hours and skipping meals contribute to burnout.”

Employee Con “Organizational processes are still maturing — communication channels can be unclear and team collaboration is sometimes siloed.”

The pattern is consistent with what we see across high-growth infrastructure companies: the pay is good, the stock is performing, but the hours are demanding. CoreWeave’s 3.0/5 work-life balance rating (from employee reviews) and 56% “recommend to a friend” rate tell a story of a company that compensates well but asks a lot in return.

## Glassdoor Ratings Snapshot

Compensation & Benefits 3.9

Career Opportunities 3.6

Overall Rating 3.4

Culture & Values 3.0

Work-Life Balance 3.0

The gap between compensation (3.9) and culture/WLB (3.0 each) is the widest in our [directory](https://jobsbyculture.com/companies). This is a company that pays well but has not yet built the organizational infrastructure to match its growth. For context, [Databricks](https://jobsbyculture.com/companies/databricks) has a similar comp profile but scores significantly higher on culture (4.3) and management — reflecting a more mature organization. If you’re evaluating an offer, use our [comparison tool](https://jobsbyculture.com/compare) to see how CoreWeave stacks up against any company on our platform.

## Who Should Consider CoreWeave

CoreWeave compensation is most attractive to engineers who:

-   **Want liquid equity in AI infrastructure.** Unlike pre-IPO startups, CoreWeave’s RSUs can be sold on the Nasdaq after vesting. If you’ve been burned by illiquid equity at startups that never went public, the liquidity premium is real.
-   **Have GPU/infrastructure expertise.** CoreWeave pays a premium for hardware engineers, data center specialists, and distributed systems engineers with GPU experience. If you have NVIDIA ecosystem experience, your leverage in negotiation is significant.
-   **Prioritize total comp over work-life balance.** The company pays well but expects commitment. If you’re in a phase of your career where maximizing earnings matters more than optimizing for balance, CoreWeave delivers.
-   **Believe in the GPU cloud thesis.** With $100B in contracted backlog and every major AI lab needing GPU compute, CoreWeave’s growth trajectory is strong. If you believe the company’s stock will continue to appreciate, the equity component becomes the most valuable part of your compensation.

If work-life balance is your top priority, companies like [Notion](https://jobsbyculture.com/companies/notion), [PostHog](https://jobsbyculture.com/companies/posthog), or [Linear](https://jobsbyculture.com/companies/linear) offer better scores. If you want the comp without the intensity, [Databricks](https://jobsbyculture.com/companies/databricks) and [Stripe](https://jobsbyculture.com/companies/stripe) are strong alternatives with higher culture ratings.

## Frequently Asked Questions About CoreWeave Compensation

How much does CoreWeave pay software engineers?+

CoreWeave software engineer total compensation ranges from $195K to $643K depending on level. The median is approximately $369K. Senior engineers earn $280K–$400K, while Staff-level and above can exceed $500K. These figures include base salary, RSUs (CRWV stock), and performance bonuses. See our [AI engineer salary guide](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026) for market-wide benchmarks.

How much does CoreWeave pay hardware engineers?+

CoreWeave hardware engineers earn $427K to $606K in total compensation. The median is approximately $427K. These are among the highest hardware engineering salaries in the industry, reflecting the specialized skills needed to manage 250,000+ GPU clusters across 32+ data centers.

Is CoreWeave stock worth holding post-IPO?+

CoreWeave (CRWV) stock has risen over 200% since its March 2025 IPO at $40/share. As of May 2026, shares trade around $105+. The company reported Q1 2026 revenue of $2.1B (2x year-over-year) with a nearly $100B contracted backlog. For employees, RSU vesting schedules determine when equity becomes liquid. This is not investment advice — consult a financial advisor.

How does CoreWeave compensation compare to other AI companies?+

CoreWeave's median SWE TC of $369K is competitive within AI infrastructure. [OpenAI](https://jobsbyculture.com/companies/openai) ($450K+) and [Anthropic](https://jobsbyculture.com/companies/anthropic) ($395K) pay more at senior levels, while [Databricks](https://jobsbyculture.com/companies/databricks) ($340K) and [Cloudflare](https://jobsbyculture.com/companies/cloudflare) ($315K) pay less. CoreWeave's hardware engineers ($427K–$606K) are compensated above nearly all competitors. See our [highest-paying AI companies ranking](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

What benefits does CoreWeave offer?+

CoreWeave offers comprehensive health/dental/vision insurance, 401(k) matching, RSU grants (CRWV stock), performance bonuses, and unlimited PTO. As a public company, employees benefit from liquid equity. The overall compensation & benefits Glassdoor rating is 3.9/5.

Does CoreWeave pay well for a public company?+

Yes. CoreWeave's compensation is above-market for a newly public company, particularly in infrastructure and hardware roles. The 3.9/5 Glassdoor comp rating confirms positive sentiment. The post-IPO stock appreciation (200%+) has made early RSU grants particularly valuable. Visit our [CoreWeave culture profile](https://jobsbyculture.com/companies/coreweave) for the full picture.

### Explore CoreWeave’s culture profile & open roles

See CoreWeave’s full ratings, compensation data, and open positions alongside 118 AI & tech companies.

[View CoreWeave Profile →](https://jobsbyculture.com/companies/coreweave) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Cursor (Anysphere) Salary 2026: $808K–$1.28M TC, Equity & How It Compares

# Cursor (Anysphere) Salary 2026: $808K–$1.28M TC, Equity & How It Compares

> Cursor (Anysphere) compensation in 2026: $808K–$1.28M total comp for engineers, with equity at a $29B+ valuation. Real compensation data from verified reports, equity structure, benefits, and how it compares to Anthropic, OpenAI, Vercel, and Linear.

Source: https://jobsbyculture.com/blog/cursor-compensation-2026
Markdown: https://jobsbyculture.com/blog/cursor-compensation-2026.md
Last updated: 2026-07-14

---
📍 Quick answer

Cursor (Anysphere) engineers earn $250k–$650k total comp in 2026 — competitive base, heavy equity at a multi-billion-dollar valuation, small team where individual impact is direct and visible.

[Browse 115 live Cursor jobs →](https://jobsbyculture.com/jobs?company=cursor)

TL;DR — Key Takeaways

-   Reports suggest Cursor engineer total compensation ranges from **$808K to $1.28M+**, with a median around **$1.1M/year** according to verified compensation reports — heavily weighted toward equity.
-   The company grew from a ~$2.5B valuation to **$29.3B** in roughly 12 months (Series C to Series D), with a possible Series E at $50–60B reportedly in discussion for 2026.
-   Cursor is a **~50-person team** with $2B+ ARR — one of the most capital-efficient companies in tech history. Every engineer has outsized product impact.
-   Glassdoor overall score: **4.0/5**; Comp & Benefits: **4.2/5**; WLB: **3.5/5**. Strict 5-day in-office policy at SF HQ.

In This Article

1.  [Quick Stats at a Glance](#glance)
2.  [The Short Version](#short-version)
3.  [Base Salary & Total Comp](#base-salary)
4.  [How Cursor Equity Works](#equity)
5.  [Bonus Structure](#bonus)
6.  [Benefits & Perks](#benefits)
7.  [How Cursor Compares](#comparison)
8.  [Who Cursor Is Right For](#who-fits)
9.  [Negotiation Tips](#negotiation)
10.  [Frequently Asked Questions](#faq)

[Cursor (Anysphere)](https://jobsbyculture.com/companies/cursor) is the most anomalous compensation story in tech right now. A ~50-person company with $2B+ in ARR, a valuation that quadrupled in a year, and total comp packages that reportedly rival or exceed those at frontier AI labs with thousands of employees. Founded in 2022 by Michael Truell, Sualeh Asif, Arvid Lunnemark, and Aman Sanger — all out of MIT — Cursor has become the dominant AI code editor with millions of daily active developers.

But evaluating a Cursor offer requires a different framework than evaluating an OpenAI or Anthropic offer. Almost all of the total compensation is in private equity — and while the trajectory has been extraordinary, the liquidity picture is fundamentally different from a company with established tender offers or a clear IPO timeline. This guide breaks it all down honestly.

## Quick Stats at a Glance

Component

Detail

Company (legal entity)

Anysphere, Inc. (product: Cursor)

Founded

2022, San Francisco

Employees

~50 (intentionally small)

Valuation (last known)

$29.3B (Series D, Nov 2025)

ARR

$2B+ (as of early 2026)

Glassdoor overall

4.0 / 5.0

Comp & Benefits score

4.2 / 5.0

Work-Life Balance

3.5 / 5.0

Recommend to friend

~85%

Engineer TC range (reports suggest)

$808K–$1.28M+

Equity type

Stock options / RSUs (private)

Office policy

5-day in-person, San Francisco

$1.1M

Median software engineer total compensation — per verified compensation reports reports (largely equity-driven)

Open roles at Cursor

3 of 115 live · refreshed daily

[Billing Support Manager Philippines](https://jobsbyculture.com/jobs/cursor/billing-support-manager) [Software Engineer, Developer Productivity San Francisco](https://jobsbyculture.com/jobs/cursor/software-engineer-developer-productivity) [Executive Assistant, User Operations San Francisco](https://jobsbyculture.com/jobs/cursor/executive-assistant-user-operations)

[See all 115 Cursor roles →](https://jobsbyculture.com/jobs?company=cursor)

## The Short Version

Cursor compensation is structured around two things: a competitive base salary and very large equity grants. Based on community reports and verified compensation data, total comp for engineers ranges from roughly $808K to $1.28M+, with a reported median around $1.1M. The cash component (base salary) is estimated to be in the $200K–$300K range — competitive but not anomalous. The massive headline number comes from equity grants priced at a company whose valuation has been rising sharply.

Recruiters have reportedly told candidates that Cursor “pays higher than the labs do” — referring to companies like OpenAI and Anthropic. On paper, this appears to be true based on verified salary reports. The critical asterisk: Cursor equity is private and illiquid. There is no established tender offer program. The realized value of any equity grant depends entirely on when (and whether) a liquidity event occurs.

For the right candidate — someone who believes deeply in Cursor’s trajectory, can work in-person in San Francisco, and thrives in a tiny high-ownership team — the risk/reward profile is extraordinary. For candidates who need near-term liquidity or prefer large team infrastructure, OpenAI or Anthropic may be a better fit.

## Base Salary & Total Comp

Cursor does not publish salary bands, and the company is small enough that roles are highly customized. The following estimates are based on community-reported compensation data, Blind discussions, and publicly available information. Because the sample size is small (~50 employees), treat these as directional rather than authoritative ranges.

Role Type

Est. Base Salary

Est. Total Comp (reports suggest)

Early-career Engineer

$180K–$230K

~$808K–$900K

Mid-level Engineer

$230K–$280K

~$900K–$1.1M

Senior Engineer

$260K–$320K

~$1.0M–$1.28M+

ML / Research Engineer

$280K–$340K

~$1.1M–$1.28M+

The wide gap between base salary and total comp reflects the equity-heavy structure. At a $29B+ valuation with rapid ARR growth, equity grants priced at earlier valuations have seen significant paper appreciation. The exact base salary at Cursor is not widely published — the above ranges are estimates based on available community data, and your actual offer will depend heavily on the specific role and your negotiation.

Curious about open roles at Cursor? [Browse Cursor job openings →](https://jobsbyculture.com/jobs?company=cursor)

## How Cursor Equity Works

Cursor equity is private stock in Anysphere, Inc. — either common stock options or RSUs. Here’s what you need to know before accepting an offer:

-   **Private and illiquid.** Unlike Google RSUs (publicly traded) or OpenAI PPUs (sold in tender offers), Cursor equity cannot currently be sold. You hold paper wealth until a secondary transaction, company-facilitated liquidity event, or eventual IPO.
-   **Valuation trajectory has been remarkable.** Anysphere raised at a ~$2.5B valuation in early 2025, $9.9B in June 2025 (Series C led by Thrive Capital), and $29.3B in November 2025 (Series D led by Accel and Coatue). Reports suggest a Series E at $50–60B was being discussed in 2026. Early employees’ equity has appreciated dramatically on paper.
-   **Revenue fundamentals are real.** This is not a valuation-without-revenue story. Cursor crossed $100M ARR in January 2025, $500M ARR by June 2025, and $2B+ ARR by early 2026. These are real, paid subscribers — not speculative growth metrics.
-   **No established tender offer program (as of this writing).** OpenAI has periodic tender offers that provide real liquidity. Cursor does not have a comparable public program, though secondary market transactions through platforms like Nasdaq Private Market may be possible for some employees.
-   **Standard 4-year vesting with 1-year cliff** is typical for early-stage companies. Specific vesting terms at Cursor are not publicly documented; confirm these with your recruiter.
-   **The upside case is extraordinary.** If Cursor reaches a $50–100B valuation at IPO, early employees at a $2.5–10B valuation will have seen 5–40x appreciation on their equity grants. The revenue trajectory suggests this is plausible, not guaranteed.

Pro — Community report (Blind, 2025) “The comp is insane for the stage. Base is competitive with Big Tech, equity is at a valuation that makes you feel like an early Google employee if this keeps going the way it is.”

Con — Community report (Blind, 2025) “Great TC on paper but it’s all equity you can’t sell. If you need liquidity in the next 2 years, you’re not getting it here unless they do a tender offer.”

Related Reading

-   [Working at Cursor in 2026: Culture, Compensation & What Employees Say](https://jobsbyculture.com/blog/working-at-cursor-2026)
-   [OpenAI Compensation 2026: Salary, PPU Equity, Bonus & How It Compares](https://jobsbyculture.com/blog/openai-compensation-2026)
-   [Highest-Paying AI Companies in 2026: Full Ranking](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

## Bonus Structure

Cursor is a small, product-focused company and does not have a formalized performance bonus structure comparable to large tech companies. Based on available information:

-   **Annual cash bonuses:** Not widely documented. At this stage, equity is the primary compensation lever. Cash bonus programs, if they exist, are not publicly confirmed — expect the total comp to be driven by equity appreciation rather than annual bonus payouts.
-   **Signing bonuses:** Signing bonuses may be offered selectively for senior candidates or to offset unvested equity at a current employer. No public data exists on typical signing bonus sizes at Cursor.
-   **Equity refreshers:** Standard practice at growing companies is to issue annual equity refresher grants. Whether Cursor has a formal annual refresh program is not publicly documented at its current scale; confirm with your recruiter.

The honest picture is that Cursor’s total comp story is almost entirely an equity story. The base salary is competitive; the headline TC number comes from equity grants. If you’re optimizing for guaranteed near-term cash, this is not the profile of a typical Cursor offer.

## Benefits & Perks

As a ~50-person company, Cursor’s benefits infrastructure is still maturing. Here’s an honest picture based on available data:

-   **Health insurance:** Standard medical, dental, and vision coverage is expected. Specific plan details and coverage levels are not publicly documented.
-   **401(k):** A 401(k) plan is expected at this stage, though the employer match level (if any) is not publicly confirmed.
-   **Office environment:** Cursor operates from its San Francisco office with a 5-day in-person requirement. The office environment is described as high-energy and product-focused — typical of a small, high-growth startup.
-   **Learning & development:** No formal L&D budget or conference sponsorship program is publicly documented. The learning environment is primarily on-the-job, working on some of the most technically challenging AI engineering problems in the industry.
-   **Parental leave:** Not publicly documented. Confirm with the recruiter.
-   **Perks infrastructure:** Cursor does not yet offer the extensive perks catalog seen at Anthropic (daily meals, $10K compute stipend) or OpenAI (meals, 50% 401(k) match, 20 weeks parental leave). The company has reportedly acknowledged this and is actively building out its perks as it scales.

Pro — Glassdoor review “You’re building a product that millions of developers use every day. The impact is immediate and real. That alone beats most perks packages at bigger companies.”

Con — Glassdoor review “Benefits are thin for the comp they’re offering. No catered food, nothing fancy. Very startup, very bare-bones. If you care about perks, look elsewhere.”

## How Cursor Compares

Cursor competes for AI engineering talent against frontier AI labs and leading developer tools companies. Here’s how the compensation stacks up — keeping in mind that Cursor’s TC figures include illiquid private equity:

Company

Engineer TC (reports suggest)

Comp Score

Equity Liquidity

[Cursor (Anysphere)](https://jobsbyculture.com/companies/cursor)

$808K–$1.28M+

4.2 / 5

Private (illiquid)

[OpenAI](https://jobsbyculture.com/companies/openai)

$249K–$1.28M

4.4 / 5

PPUs (tender offers)

[Anthropic](https://jobsbyculture.com/companies/anthropic)

$300K–$490K

4.8 / 5

RSUs (private)

[Vercel](https://jobsbyculture.com/companies/vercel)

$250K–$450K

4.3 / 5

RSUs (private)

[Linear](https://jobsbyculture.com/companies/linear)

$200K–$380K

4.5 / 5

Options (private)

Key takeaways from the comparison:

-   **Cursor’s TC on paper exceeds all comparators** when you include equity at current valuation. But “on paper” is doing a lot of work here — the equity is illiquid and the realized value depends on future outcomes.
-   **OpenAI provides the best balance of high TC and partial liquidity.** PPU tender offers have allowed real cash-outs. If you want a frontier AI company with both high comp and demonstrated liquidity, OpenAI is the clearest alternative.
-   **Anthropic has the highest comp satisfaction score (4.8)** despite lower raw numbers, suggesting strong alignment between expected and realized value. Anthropic also pays an above-market base salary component relative to equity.
-   **Vercel and Linear offer more predictable developer-tools comp** with calmer work environments (WLB scores of 4.0+ vs Cursor’s 3.5) but meaningfully lower TC at equivalent equity stages.
-   **Cursor’s 5-day RTO is a significant differentiator** (negatively, for remote-friendly candidates). Vercel and Linear both have remote-friendly or async-friendly cultures — a meaningful quality-of-life difference.

## Who Cursor Is Right For

Cursor compensation is not a fit for every engineer. Here’s an honest breakdown:

-   **You should consider Cursor if:** You are comfortable holding private equity for 2–4+ years, you believe deeply in the AI code editor trajectory, you want to work on a product used by millions of developers daily on a tiny team, and you can commit to full-time in-person work in San Francisco.
-   **Cursor may not be the right fit if:** You need near-term liquidity from your equity, you have dependents that require extensive benefits coverage, you prefer remote or hybrid work, or you want a clear management track — on a ~50-person team, traditional career ladders are limited.
-   **The equity upside is real but uncertain.** At $29B, Cursor has already validated extraordinary value. Whether it reaches $50B, $100B, or plateaus depends on execution, competition from GitHub Copilot, OpenAI Codex, and other tools, and broader market dynamics. The revenue growth so far is exceptional; the future is not guaranteed.

$29.3B

Anysphere valuation as of November 2025 Series D — up from ~$2.5B in early 2025

## Negotiation Tips

Because Cursor is small and hires selectively, each offer is somewhat bespoke. Here’s how to approach negotiation:

-   **Equity grant size is the primary lever.** Base salary is competitive but relatively standardized. The equity grant size and the strike price (for options) are where the largest differences in long-term value occur. Push for the largest grant you can negotiate.
-   **Competing offers from AI labs carry significant leverage.** An offer from OpenAI, Anthropic, or Google DeepMind is the strongest negotiation position. Cursor genuinely competes for this talent pool and will respond to real competing offers.
-   **Clarify vesting terms and cliff.** Standard terms are 4-year vesting with a 1-year cliff. Ask if there is any accelerated vesting on change of control (acquisition), which is important given Cursor’s potential exit paths.
-   **Ask about secondary market liquidity.** Ask explicitly whether the company has facilitated or plans to facilitate any secondary transactions for employees, or whether any tender offers are expected. This is a material question given the illiquid structure.
-   **Understand the strike price on options.** If equity is granted as options (not RSUs), the strike price relative to FMV (409A valuation) determines your actual cost to exercise. Options granted at lower 409A prices in earlier funding rounds have more favorable economics.
-   **Negotiate in-offer signing bonuses for lost unvested equity.** If you’re leaving unvested equity at a current employer, ask Cursor to compensate for this through a signing bonus or accelerated equity grant.

### Is Cursor Compensation Worth It?

By headline numbers, Cursor is among the highest-paying employers in tech — with reports suggesting $808K–$1.28M+ in total comp. But this is almost entirely an equity play on a company at a $29B+ private valuation. If you believe Cursor continues to dominate AI-assisted coding and reaches a liquidity event at $50–100B+, the equity upside is potentially transformative. If you need cash liquidity in the near term, want extensive perks, or prefer remote work, the trade-offs are real. The ideal Cursor candidate combines deep conviction in the product trajectory with the financial runway to hold private equity for multiple years — and thrives in a 50-person, ship-fast, full-time-in-office environment. For that person, the comp story is compelling. Explore the [Cursor culture profile](https://jobsbyculture.com/companies/cursor) or see [open roles](https://jobsbyculture.com/jobs?company=cursor) to learn more.

## Open Positions at Cursor

Cursor hires selectively — the team is intentionally small and every hire is high-conviction. Roles are primarily engineering-focused, spanning backend infrastructure, ML systems, product engineering, and research. There is no traditional recruiting function; the best path in is through a strong public portfolio, deep product knowledge, or a warm referral from an existing team member.

For the full list of live openings, visit the [Cursor jobs page](https://jobsbyculture.com/jobs?company=cursor). You can also explore the [Cursor culture profile](https://jobsbyculture.com/companies/cursor) for Glassdoor ratings, employee reviews, and culture values. For a broader view of working at Cursor, see our [Working at Cursor in 2026](https://jobsbyculture.com/blog/working-at-cursor-2026) deep dive.

## Frequently Asked Questions

What is the average salary at Cursor (Anysphere) in 2026?+

According to verified salary reports, the median total compensation for a software engineer at Cursor is approximately $1.1M per year, with a reported range of $808K to $1.28M+. This figure is heavily weighted toward equity — the cash component (base salary) is estimated to be in the $200K–$300K range, with the rest coming from equity grants in the company at its current $29B+ valuation.

What type of equity does Cursor give employees?+

Cursor (Anysphere) is a private company, and employees are believed to receive stock options or RSUs (restricted stock units) representing common stock in the company. As of late 2025, Anysphere’s last known valuation was $29.3 billion (Series D led by Accel and Coatue), with reports suggesting a Series E at $50–60B was under discussion. The equity represents some of the highest potential upside of any early-stage company in tech, but it is illiquid — employees cannot sell shares without a secondary transaction, tender offer, or IPO.

How much does a Cursor software engineer make?+

Reports suggest Cursor software engineer total compensation ranges from approximately $808K to $1.28M+ per year, with a median around $1.1M according to verified compensation reports. The compensation is structured with a strong base salary (estimated $200K–$300K range) plus significant equity grants. Recruiters have reportedly claimed that Cursor “pays higher than the labs do,” referring to companies like OpenAI and Anthropic. See all [current Cursor openings](https://jobsbyculture.com/jobs?company=cursor).

Does Cursor pay more than Anthropic or OpenAI?+

On paper, total compensation at Cursor appears to exceed both [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026) ($300K–$490K) and even [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026) ($249K–$1.28M, median $555K) based on verified salary reports. However, the crucial difference is liquidity. OpenAI PPUs have been sold in tender offers. Anthropic RSUs carry real private-market value. Cursor equity is at an earlier stage of liquidity — the $1.1M median TC is largely unrealized until a secondary sale or IPO. The upside is enormous if Cursor continues to scale; the uncertainty is higher.

What benefits does Cursor offer?+

Cursor is a ~50-person company and its benefits infrastructure is still maturing. Based on available information, it offers solid healthcare (medical, dental, vision), the standard equity package, and core startup perks. It does not yet offer the extensive perks catalog seen at Anthropic or OpenAI (e.g., daily catered meals, wellness stipends, large conference budgets). One notable policy: Cursor operates with a 5-day in-person requirement at its San Francisco office — which some candidates should factor into their decision.

Is Cursor equity worth anything?+

Cursor’s equity has appreciated dramatically on paper. The company went from a ~$2.5B valuation in early 2025 to $9.9B (Series C, June 2025) to $29.3B (Series D, November 2025), with reports suggesting a Series E at $50–60B is being discussed in 2026. Revenue crossed $2B+ ARR by early 2026. For employees who joined early, the equity appreciation is potentially life-changing — but it remains illiquid. Employees hold private stock and cannot easily sell without a formal secondary transaction or company-facilitated tender offer.

Can you negotiate a Cursor salary offer?+

Yes — Cursor offers are negotiable, particularly on equity grant size. The company competes for top-tier AI and engineering talent against OpenAI, Anthropic, [Vercel](https://jobsbyculture.com/companies/vercel), and [Linear](https://jobsbyculture.com/companies/linear). Having competing offers from any of these companies provides legitimate leverage. Focus negotiation on equity grant size and vesting terms rather than base salary, as equity represents the dominant portion of total compensation.

Is Cursor hiring in 2026?+

Yes, Cursor is hiring selectively in 2026. The team remains intentionally small (~50 people) and the bar is extremely high. Roles are primarily engineering-focused — backend, ML infrastructure, and product engineering. The company has no traditional recruiters; it finds candidates through referrals, inbound interest, and direct sourcing. Browse [current Cursor openings](https://jobsbyculture.com/jobs?company=cursor) or visit the [Cursor culture profile](https://jobsbyculture.com/companies/cursor) to learn more.

### Explore open roles at Cursor

Filter by role, seniority, and culture values. Every listing includes culture context.

[See Cursor Jobs →](https://jobsbyculture.com/jobs?company=cursor) [Working at Cursor in 2026 →](https://jobsbyculture.com/blog/working-at-cursor-2026)

---

## Document: Cursor Remote Work Policy 2026: 100% In-Person — No Remote, No Hybrid (Real Data)

# Cursor Remote Work Policy 2026: 100% In-Person — No Remote, No Hybrid (Real Data)

> Is Cursor (Anysphere) remote-friendly in 2026? No — every role requires in-person work at their San Francisco office. Here

Source: https://jobsbyculture.com/blog/cursor-remote-work-policy-2026
Markdown: https://jobsbyculture.com/blog/cursor-remote-work-policy-2026.md
Last updated: 2026-07-14

---
If you’re researching [Cursor (Anysphere)](https://jobsbyculture.com/companies/cursor) as a potential employer and remote work matters to you, the answer is direct: there is no remote option. Cursor operates as a fully in-person team at a single office in North Beach, San Francisco. No hybrid. No remote-friendly exceptions. No distributed roles.

This isn’t an oversight or a gap in their careers page — it’s a deliberate cultural decision by a founding team that believes the speed and quality of what they’re building comes from being in the same room. For the right candidate, that’s a feature. For everyone else, it’s a hard constraint worth knowing upfront.

## Cursor Remote Policy at a Glance

Metric

Detail

Official policy

Fully in-person

Remote-friendly roles

0 (none)

Hybrid option

Not offered

Office location

North Beach, San Francisco, CA

Number of offices

1 (San Francisco only)

International locations

None

Team size

~50 employees (as of April 2026)

Glassdoor rating

4.0 / 5.0 (~15 reviews)

Work-life balance

3.5 / 5.0

0%

Of Cursor’s open roles are listed as remote or hybrid — the company is 100% in-person

## Why Cursor Is Fully In-Person

Cursor was founded in 2022 by four MIT friends — Michael Truell, Sualeh Asif, Arvid Lunnemark, and Aman Sanger — who built the company from a shared space where everyone worked side by side. That founding dynamic has never changed.

Based on available information from the company’s culture and community discussions, Cursor’s in-person mandate stems from a few core beliefs:

-   **Speed of iteration.** With ~50 people building a product used by millions of developers, every hour matters. In-person collaboration eliminates the friction of async communication and lets the team course-correct in real time.
-   **Tight-knit culture.** The office has a deliberately home-like atmosphere — the no-shoes policy at the door is a real reflection of that. Cursor values the kind of trust and familiarity that’s hard to build over video calls.
-   **Shared context.** At 50 people, everyone is expected to understand everything. When you’re in the same room as the engineer who just shipped a feature, context transfer happens naturally. Distributed teams require active systems to replicate that; Cursor hasn’t built those systems and doesn’t intend to.

This philosophy is increasingly rare in tech, but not unique. Other fast-moving, product-obsessed companies — including early Stripe, Figma, and Notion — built their foundational culture in-person before any remote expansion. Cursor is at that same stage, with the added intensity of competing in the fastest-moving space in software.

## Cursor’s San Francisco Office

Cursor operates from a single office in North Beach, San Francisco. The neighborhood — known for its mix of tech workers, longtime residents, and cafe culture — suits the team’s ethos: productive but not corporate.

San Francisco, CA (North Beach)

Headquarters · Only office · No-shoes culture · Everyone works here

No second location

Cursor has no satellite offices, no international hubs, and no co-working space arrangements

Based on community accounts from people who have visited or interviewed there, the space feels more like a shared living room than a traditional startup office. There’s no formal dress code, no badge-swipe culture, and minimal corporate infrastructure. The focus is on the work.

Candidates who advance to final interviews are typically invited for a two-day on-site project with the core team — which also serves as a preview of the daily environment for anyone considering relocating.

## What Cursor’s In-Person Policy Means for Candidates

If you’re interested in working at Cursor, relocation to San Francisco is non-negotiable. Here’s what to expect:

-   **You must be in San Francisco.** Not the Bay Area broadly — the team works from a single North Beach office. Long commutes from Oakland or the South Bay are not the norm.
-   **Relocation support is typically offered for strong candidates.** Based on available information, Cursor does assist with relocation for the right hires, though terms vary by role and candidate situation.
-   **The hiring process is in-person.** Final-round interviews include an on-site project, so you’ll need to visit San Francisco as part of the process regardless.
-   **Compensation accounts for SF cost of living.** Cursor’s compensation is competitive with larger AI companies. Based on available information, total compensation for engineers ranges from approximately $200,000 to $400,000+. See our [Cursor compensation guide](https://jobsbyculture.com/blog/cursor-compensation-2026) for detail.

Pro — based on available community accounts “The in-person culture is real and it’s part of why the product moves so fast. Everyone is there, everyone knows what’s happening, and there’s no coordination overhead.”

Con — Glassdoor review theme “The pace is relentless. When you’re all in the same room, there’s no ‘off’ button. Work-life balance requires active effort at a place like this.”

## What Employees Say About Working at Cursor

Glassdoor data for Cursor (Anysphere) is limited given the company’s small size — roughly 15 reviews as of April 2026. But the themes are consistent:

-   **Overall rating: 4.0/5** — High for a company with Cursor’s level of intensity.
-   **Work-life balance: 3.5/5** — Below average, consistent with a ~50-person startup shipping at pace.
-   **Compensation: 4.2/5** — Above average; employees note that comp is competitive with much larger companies.
-   **CEO approval: ~90%** — Unusually high, reflecting the team’s confidence in the founding team’s direction.

The 3.5 work-life balance score is worth flagging explicitly: being fully in-person at a company that ships fast does not mean predictable hours. Multiple review themes reference the intensity of the pace. If you join Cursor, you’re signing up for the output of a small team punching well above its weight — in-person, every day.

Pro — Glassdoor theme “Tiny team, extreme ownership. Every engineer ships features that millions of developers use daily. The feedback loop is almost instant.”

Con — Glassdoor theme “No specialists — everyone does everything. Limited HR/people ops. Career growth is bounded by team size.”

## Cursor vs. Other AI Companies: Remote Work Compared

Here’s how Cursor stacks up against four major AI and developer tools companies on remote work policy:

Company

Remote Policy

Glassdoor

WLB

Team Size

[Cursor (Anysphere)](https://jobsbyculture.com/companies/cursor)

100% in-person (SF only)

4.0

3.5

~50

[OpenAI](https://jobsbyculture.com/companies/openai)

Hybrid (~3 days/week in office)

4.0

3.5

~3,000

[Anthropic](https://jobsbyculture.com/companies/anthropic)

Office-first, 8% remote-friendly roles

4.4

3.7

~1,000

[Linear](https://jobsbyculture.com/companies/linear)

Fully remote, 15+ countries

4.5

4.5

~100

[Vercel](https://jobsbyculture.com/companies/vercel)

Remote-friendly (~30% of roles remote)

3.9

4.0

~800

The trade-off is clear. Cursor offers something no distributed team can fully replicate: the velocity and shared context of 50 people building together in one room, on a product that generates $2B+ ARR with minimal headcount. But Linear and Vercel prove that world-class developer tools can be built with distributed teams too, if remote work is non-negotiable for you.

OpenAI and Anthropic sit in the middle — office-anchored, but with some flexibility. If you want to work on frontier AI and are open to hybrid, both are worth exploring. See our [Anthropic remote work breakdown](https://jobsbyculture.com/blog/anthropic-remote-work-policy-2026) for detail.

## Who Should (and Shouldn’t) Apply to Cursor

### Cursor is the right fit if you…

-   Can be in San Francisco (or are willing to relocate) without reservation
-   Thrive in high-intensity, in-person environments with minimal structure
-   Want extreme ownership and direct product impact on a tool used by millions
-   Value speed of execution above almost everything else
-   Are energized by being a generalist, not a specialist

### Cursor is probably not the right fit if you…

-   Require remote or hybrid arrangements for any reason
-   Are outside the US or can’t relocate to San Francisco
-   Want defined work hours, strong HR processes, or structured career progression
-   Prefer deep specialization over broad ownership
-   Prioritize work-life separation over product pace

### The Bottom Line

Cursor (Anysphere) is not remote-friendly — at all. The company is 100% in-person at their San Francisco office, and based on available information, this policy reflects the founding team’s genuine belief in co-location as a competitive advantage. If you can get yourself to North Beach, SF, you’re looking at one of the most exciting ~50-person teams in tech: elite compensation, extreme ownership, and a product that millions of developers love. If you can’t be in San Francisco, consider [Linear](https://jobsbyculture.com/companies/linear) (fully remote, 15+ countries) or [Vercel](https://jobsbyculture.com/companies/vercel) (remote-friendly, distributed team) as alternatives in the developer tools space.

## Open Positions at Cursor

Cursor lists open roles across engineering, research, sales, and operations. All roles are based in San Francisco. For the full list of live openings, visit the [Cursor jobs page](https://jobsbyculture.com/jobs?company=cursor) or explore the [Cursor culture profile](https://jobsbyculture.com/companies/cursor) for Glassdoor ratings, employee review themes, and culture values.

## Frequently Asked Questions

Is Cursor (Anysphere) remote friendly?+

No. Cursor is 100% in-person with no remote or hybrid options. All roles require working on-site at their North Beach, San Francisco office. The company has explicitly stated it believes in tight-knit, in-person collaboration and does not offer exceptions. If remote work is a requirement, consider [Linear](https://jobsbyculture.com/companies/linear) (fully remote, 15+ countries) or [Vercel](https://jobsbyculture.com/companies/vercel) (remote-friendly) instead.

What is Cursor’s remote work policy in 2026?+

Cursor’s remote work policy in 2026 is fully in-person with no exceptions. All employees work from the company’s San Francisco office in North Beach. There is no hybrid option, no remote-friendly designation on any roles, and no distributed team. This is a deliberate cultural choice by the founders, who believe the speed and quality of their product comes from everyone being in the same room.

Where is Cursor’s office located?+

Cursor (Anysphere) has one office, located in North Beach, San Francisco, CA. This is the company’s only location. The office is known for its relaxed, home-like atmosphere — including a no-shoes policy at the door. There are no satellite offices, no international locations, and no plans for expansion beyond San Francisco based on available information.

Can you work remotely at Cursor from outside San Francisco?+

No. Based on available information, Cursor does not offer remote work for any roles. All positions require being physically present at the San Francisco office. Candidates who apply through their careers page are expected to relocate to San Francisco. This applies to engineering, research, sales, and all other roles listed on their careers page. See all [current Cursor openings](https://jobsbyculture.com/jobs?company=cursor).

What do Cursor employees say about the work environment?+

Based on available Glassdoor reviews, Cursor employees highlight extreme ownership and direct product impact as top pros. The in-person culture is described as energizing but intense. Cons include the relentless pace, limited HR structure typical of a ~50-person startup, and work-life balance that requires active effort. Work-life balance scores approximately 3.5/5 on Glassdoor — below the industry average.

How does Cursor’s in-office policy compare to other AI companies?+

Cursor is the most strictly in-person of the major AI developer tools companies. OpenAI requires roughly 3 days per week in office (hybrid). Anthropic is office-first with about 8% remote-friendly roles. Vercel is remote-friendly with ~30% of roles listed as remote. Linear is fully remote across 15+ countries. Cursor stands alone as 100% in-person with no hybrid options at any level. See all [Cursor openings](https://jobsbyculture.com/jobs?company=cursor) or compare on the [Cursor culture profile](https://jobsbyculture.com/companies/cursor).

### Browse Cursor’s open roles

All roles are based in San Francisco. Filter by department and seniority to find your fit.

[See Cursor Jobs →](https://jobsbyculture.com/jobs?company=cursor) [Cursor Compensation Guide →](https://jobsbyculture.com/blog/cursor-compensation-2026)

---

## Document: Databricks Salary 2026: $253K–$1.65M TC, Pre-IPO Equity & How It Compares

# Databricks Salary 2026: $253K–$1.65M TC, Pre-IPO Equity & How It Compares

> Databricks compensation in 2026: $253K-$1.65M total comp for engineers at a $134B valuation. Real compensation data from verified reports, RSU vesting, IPO timeline, and how it compares to Snowflake, OpenAI, Google, and Stripe.

Source: https://jobsbyculture.com/blog/databricks-compensation-2026
Markdown: https://jobsbyculture.com/blog/databricks-compensation-2026.md
Last updated: 2026-07-14

---
📍 Quick answer

Databricks engineers earn $250k–$700k total comp in 2026. Base + bonus + RSUs vesting over 4 years; the late-stage private valuation has driven significant secondary tender events for employee liquidity.

[Browse 786 live Databricks jobs →](https://jobsbyculture.com/jobs?company=databricks)

TL;DR — Key Takeaways

-   Databricks’ median software engineer total compensation is **$504K/year**, ranging from **$253K (L3) to $1.65M (L7)** according to verified salary reports.
-   Equity is granted as **RSUs vesting over 4 years with a 1-year cliff**. Shares don’t convert to liquid stock until a liquidity event — IPO or tender offer.
-   Databricks raised a **$4B Series L in December 2025** at a $134B valuation, with an IPO widely anticipated in **H2 2026**. Pre-IPO RSU opportunity is significant.
-   Glassdoor overall score of **4.0/5** with 82% recommending. Comp & Benefits score: **4.3/5**. Work-life balance: **3.4/5** — a real tradeoff to factor in.

In This Article

1.  [Quick Stats at a Glance](#glance)
2.  [The Short Version](#short-version)
3.  [Base Salary by Level](#base-salary)
4.  [Pre-IPO RSU Equity Explained](#equity)
5.  [IPO Timeline & What It Means for Employees](#ipo)
6.  [Bonus Structure](#bonus)
7.  [Benefits & Perks](#benefits)
8.  [How Databricks Compares](#comparison)
9.  [Who Gets Paid the Most?](#highest-paid)
10.  [Negotiation Tips](#negotiation)
11.  [Frequently Asked Questions](#faq)

[Databricks](https://jobsbyculture.com/companies/databricks) has quietly become one of the most compelling pre-IPO compensation opportunities in tech. Founded in 2013 by the creators of Apache Spark, the company has grown to ~7,000 employees and $5.4B+ in annualized revenue — all while remaining private. Its December 2025 Series L round at a $134B valuation cemented it as one of the most valuable private tech companies in the world.

For engineers, that valuation creates an unusual opportunity: RSU grants in a company with strong fundamentals, massive market momentum in data and AI, and a credible IPO catalyst on the horizon. The compensation numbers are genuinely compelling — but understanding the pre-IPO equity mechanics is essential before accepting any offer.

## Quick Stats at a Glance

Component

Detail

Company

Databricks

Employees

~7,000

Valuation

$134B (Dec 2025 Series L)

IPO status

Pre-IPO — H2 2026 widely anticipated

Glassdoor overall

4.0 / 5.0 (1,595 reviews)

Comp & Benefits score

4.3 / 5.0

Work-Life Balance

3.4 / 5.0

Recommend to friend

82%

CEO approval

88% (Ali Ghodsi)

Engineer TC range

$253K–$1.65M (L3–L7)

Median engineer TC

$504K

Equity type

RSUs (pre-IPO, 4-year vest, 1-year cliff)

Open roles

840+

$134B

Databricks valuation as of December 2025 — one of the largest private tech companies in the world

Open roles at Databricks

3 of 786 live · refreshed daily

[ソリューションアーキテクト (プリセールス) Japan](https://jobsbyculture.com/jobs/databricks/) [デリバリーソリューションアーキテクト Tokyo, Japan](https://jobsbyculture.com/jobs/databricks/) [Account Executive Bengaluru, India; Mumbai, India](https://jobsbyculture.com/jobs/databricks/account-executive)

[See all 786 Databricks roles →](https://jobsbyculture.com/jobs?company=databricks)

## The Short Version

Databricks compensation is structured around three components: base salary, RSU equity grants, and performance bonuses. At the mid-to-senior level (L4–L5), a typical offer includes a base salary of $185K–$240K plus an RSU grant of $400K–$1M vesting over four years, bringing total compensation to $415K–$673K per year at current valuation. At the entry level (L3), total comp starts around $253K. At the highest individual contributor level (L7), it can exceed $1.65M.

The RSU equity grant is the most important variable to understand. Unlike traditional RSUs at a public company where shares can be sold immediately upon vesting, Databricks RSUs don’t convert to liquid shares until a **liquidity event** — either a public IPO or a company-sponsored tender offer. We cover the details and implications [below](#equity).

## Base Salary by Level

Databricks uses a leveling system from L3 (entry-level engineer) to L7 (principal). Base salaries are competitive with FAANG and late-stage startups, with the real differentiation happening in the equity component. These figures are based on verified salary reports as of April 2026.

Level

Title

Base Salary (est.)

Total Comp (verified compensation reports)

L3

Software Engineer

$165K–$190K

~$253K

L4

Software Engineer

$185K–$215K

~$415K

L5

Senior Software Engineer

$210K–$255K

~$673K

L6

Staff Software Engineer

$245K–$305K

~$1.03M

L7

Principal Software Engineer

$290K–$360K

~$1.65M

A concrete L4 offer example (reported March 2026): $190K base + $600K RSU grant over 4 years + $30K target bonus = approximately $430K/year in total compensation. This is broadly consistent with the verified compensation reports median of $415K for L4.

Interested in these salary ranges? See what’s open now. [See 840+ open Databricks positions →](https://jobsbyculture.com/jobs?company=databricks)

## Pre-IPO RSU Equity Explained

This is the section that matters most if you’re evaluating a Databricks offer. RSUs at a pre-IPO company work differently from RSUs at Google, Meta, or Stripe. Here’s exactly how Databricks equity works:

-   **RSUs vest on a 4-year schedule with a 1-year cliff.** You receive 25% of your grant after 12 months, then monthly thereafter. This is the standard schedule used by most tech companies.
-   **Vested RSUs don’t equal liquid cash — yet.** Databricks is still private. When your RSUs vest, you own shares in a private company that cannot be freely sold on the open market. You must wait for a liquidity event.
-   **Liquidity comes from IPO or tender offers.** Databricks has facilitated employee tender offers in the past, allowing vested shareholders to sell a portion of their shares to institutional investors. The frequency and pricing of these offers are at the company’s discretion.
-   **The $134B valuation is meaningful context.** Your RSU grant is priced based on a valuation at time of grant. If Databricks IPOs at a higher valuation (or goes public at $134B+), your shares may be worth more. If the IPO valuation is lower, they’re worth less. This is the primary risk compared to public company RSUs.
-   **No 401(k) match — yet.** Unlike many public peers, Databricks does not currently offer employer 401(k) matching. This is worth factoring into total compensation comparisons. Employees have indicated the company is evaluating adding a match.
-   **Annual refresher grants.** Employees typically receive annual RSU refresher grants based on performance, maintaining ongoing equity exposure as initial grants vest.

Pro — Glassdoor review “RSU package is very competitive, and with the IPO coming, there’s real upside potential. The company’s revenue growth makes this feel like a real opportunity, not wishful thinking.”

Con — Glassdoor review “No 401k match is a real gap when you’re comparing to Google or Stripe. You can’t spend RSUs at the grocery store, and tender offers don’t come often enough.”

The key question for candidates: _how much do you believe in the IPO upside?_ At a $134B valuation and $5.4B+ ARR, Databricks has real fundamentals backing the equity story. The data + AI market is one of the fastest-growing in enterprise tech. But pre-IPO equity always carries more risk than publicly traded RSUs. If you need liquidity soon, factor in the tender offer cadence carefully.

## IPO Timeline & What It Means for Employees

The Databricks IPO is one of the most anticipated in tech. Here’s the current state of play as of April 2026:

-   **No S-1 filed yet.** Databricks has not filed a public or confidential S-1 with the SEC as of April 2026. A confidential S-1 typically precedes a public IPO by 6–12 months.
-   **H2 2026 is the widely expected window.** Based on revenue trajectory ($5.4B+ ARR), the December 2025 Series L, and CEO Ali Ghodsi’s public statements, most analysts project a second-half 2026 IPO. The IPO market itself has also improved significantly compared to 2023–2024.
-   **The $134B valuation sets a high bar.** At a $134B valuation with $5.4B in ARR, Databricks is priced at roughly 25x revenue — high by traditional SaaS standards, but consistent with elite AI-adjacent infrastructure companies. A successful IPO at or above this valuation would be extremely valuable for RSU holders.
-   **Employee RSU implications.** When the IPO lock-up period expires (typically 180 days post-IPO), employees with vested RSUs can sell shares on the open market. This is the primary liquidity event most employees are waiting for.
-   **Downside risk is real.** If market conditions deteriorate or Databricks’ growth slows, the IPO could be delayed or priced below current private market levels. This is the primary risk of joining a pre-IPO company versus a public one.

$5.4B+

Databricks annualized revenue run rate — strong fundamentals backing the IPO equity story

Related Reading

-   [Working at Databricks in 2026: Culture, Compensation & What Employees Say](https://jobsbyculture.com/blog/working-at-databricks-2026)
-   [OpenAI Compensation 2026: Salary, PPU Equity, Bonus & How It Compares](https://jobsbyculture.com/blog/openai-compensation-2026)
-   [Highest-Paying AI Companies in 2026: Full Ranking](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

## Bonus Structure

Databricks offers annual performance-based bonuses on top of base salary and RSUs. Here’s what the data shows:

-   **Annual performance bonus:** Typically 10–20% of base salary, tied to individual performance ratings and company revenue targets. At L4, a $190K base with a 15% target bonus equals approximately $28K in additional annual cash.
-   **Signing bonuses:** Signing bonuses are common for candidates with competing offers or leaving unvested equity at their current employer. These typically range from $20K to $100K+ depending on level and competing offers.
-   **No equity cliff bonus workaround:** Because RSUs have a 1-year cliff, Databricks sometimes structures signing bonuses to partially bridge the gap for candidates who are “leaving money on the table” at their current employer.
-   **Relocation assistance:** Available for candidates relocating to San Francisco, Seattle, New York, Amsterdam, or other major Databricks offices.

Compared to the RSU equity grants (which can represent $200K–$500K+ per year in present value at current valuation), the annual cash bonus is a smaller but still meaningful part of total compensation. At L3–L4 levels especially, the bonus can be a useful negotiating lever.

## Benefits & Perks

Databricks’ benefits package is solid, though it has one notable gap compared to peers: the absence of a 401(k) employer match.

-   **Health insurance:** Comprehensive medical, dental, and vision coverage for employees and dependents. Generally rated well in Glassdoor reviews.
-   **Flexible PTO:** Unlimited / flexible PTO policy. Glassdoor reviews note that actual time-off culture varies by team, with a WLB score of 3.4/5 suggesting the pace is real.
-   **401(k):** Employees can contribute to a 401(k) plan, but Databricks does not currently offer an employer match. This is a meaningful gap relative to peers like Google (100% match up to 3%), Stripe, or Snowflake.
-   **Cell phone & internet reimbursement:** Partial reimbursement for work-related expenses including cell phone and home internet/cable.
-   **Conference & learning budget:** Dedicated budget for professional development, conference attendance, and learning resources. Consistent with the company’s strong “learning” culture value.
-   **Equity refreshers:** Annual RSU refresher grants based on performance — an important benefit that keeps long-tenured employees invested in the company’s success.
-   **Parental leave:** Paid parental leave available, though the specifics vary by location.

Pro — Glassdoor review “Benefits are generally good, and the learning culture is real — I’ve attended multiple conferences and the company actually pays for it. Smart colleagues everywhere.”

Con — Glassdoor review “No 401k match in 2026 is embarrassing for a $134B company. And the pace is intense — the WLB score doesn’t lie. Some teams are brutal.”

## How Databricks Compares

Databricks competes for engineering talent primarily with cloud and data companies (Snowflake, Google, Stripe) and frontier AI labs (OpenAI, Anthropic). Here’s how the compensation stacks up:

Company

Engineer TC

Comp Score

Equity Type

IPO Status

[Databricks](https://jobsbyculture.com/companies/databricks)

$253K–$1.65M

4.3 / 5

RSUs (pre-IPO)

H2 2026 expected

Snowflake

$220K–$1.2M

4.0 / 5

RSUs (public)

Public (NYSE: SNOW)

[OpenAI](https://jobsbyculture.com/companies/openai)

$249K–$1.28M

4.4 / 5

PPUs (pre-IPO)

Pre-IPO

Google

$200K–$900K

4.2 / 5

GSUs (public)

Public (NASDAQ: GOOG)

Stripe

$250K–$450K

4.5 / 5

RSUs (pre-IPO)

Pre-IPO

Key takeaways from the comparison:

-   **Databricks offers the most upside through equity** among this peer group — the combination of a $134B valuation, strong revenue growth, and a near-term IPO creates a compelling pre-IPO equity story that Snowflake (already public) and Google (large cap) can’t match.
-   **Snowflake offers the safest equity liquidity.** As a public company, Snowflake RSUs can be sold upon vesting. For candidates who need liquidity now, Snowflake’s public RSUs have a clear advantage over Databricks’ pre-IPO structure.
-   **OpenAI pays comparably but with a novel equity instrument (PPUs)** that carries its own complexity. See our [OpenAI compensation breakdown](https://jobsbyculture.com/blog/openai-compensation-2026) for details.
-   **Google’s TC ranges top out lower** at senior levels, but Google RSUs are publicly liquid from day of vesting — meaningful for risk-averse candidates.
-   **Stripe’s TC is lower** than Databricks, but benefits like 401(k) matching and a slightly better WLB reputation make the overall package competitive depending on priorities.

For a comprehensive ranking of compensation across the industry, see our full [highest-paying AI companies in 2026](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) analysis.

## Who Gets Paid the Most?

Not all roles at Databricks are compensated equally. The highest-paid individuals fall into predictable categories:

-   **Principal engineers (L7)** command the highest total compensation, reaching $1.65M+ in total comp according to verified compensation reports. These are the architects of core platform infrastructure — runtime, query engine, Photon, MLflow, Delta Lake. The closer your work is to the technical core, the larger the RSU grants tend to be.
-   **Staff engineers (L6)** working on data lakehouse infrastructure, AI/ML platform (Mosaic AI), and cloud partnerships earn $1M+ in total comp. Databricks’ acquisition of MosaicML (now Mosaic AI) in 2023 for $1.3B means ML engineers on that platform command premium compensation.
-   **Senior engineers (L5)** are the workhorse band, earning $673K median. Engineering managers at this level are compensated comparably, with total comp of $600K–$900K depending on team scope and location.
-   **Sales and account executives** have high total comp potential through significant commission structures, particularly on enterprise deals. However, Glassdoor reviews from sales employees rate compensation at 3.9/5 — slightly lower than engineering, likely reflecting quota pressure and variability.
-   **Research and AI/ML roles** linked to Mosaic AI and the core AI platform are seeing increased compensation as Databricks competes with OpenAI and Anthropic for ML talent. Expect above-L5 treatment for research scientists with strong publications or foundation model experience.

$1.65M+

Total compensation for L7 principal engineers — the highest individual contributor comp at Databricks

## Negotiation Tips

If you receive a Databricks offer, here’s how to approach negotiation effectively:

-   **Focus on the RSU grant size, not base salary.** Base salary at Databricks is relatively standardized by level. The RSU equity grant is where the real negotiation happens — a 20–30% increase in your RSU grant can be worth $100K+ per year at current valuation.
-   **Use competing offers from the right companies.** Offers from Snowflake, Google, OpenAI, Stripe, or Anthropic give you the most leverage. The right comp from a public company can be used to argue for a larger equity grant to offset the liquidity risk of pre-IPO RSUs.
-   **Ask about tender offer history and frequency.** Since RSU liquidity depends on tender offers before the IPO, ask your recruiter when the last tender offer was, at what valuation, and how often they occur. This helps you model your real liquidity timeline.
-   **Negotiate the signing bonus to bridge equity gaps.** If you’re leaving unvested RSUs or options at your current employer, ask for a signing bonus to offset the unvested value. Databricks commonly negotiates these, particularly for senior hires.
-   **Push for the higher level if your experience supports it.** Getting leveled at L5 vs. L4 has a dramatically larger impact on total comp (~$250K/year difference) than any negotiation within a fixed level. Make the case for senior leveling during the interview process if your background warrants it.
-   **Factor in the 401(k) gap.** The lack of a 401(k) employer match is worth at least $5K–$10K/year in compensation shortfall compared to peers like Google or Stripe. Use this as part of the overall package comparison when negotiating.

### Is Databricks Compensation Worth It?

Databricks offers one of the most compelling pre-IPO compensation packages in enterprise tech. At a $134B valuation with $5.4B+ ARR and a credible H2 2026 IPO trajectory, the RSU equity upside is real and backed by fundamentals — not just hype. The median $504K engineer TC is competitive with most public companies, and L5+ compensation exceeding $600K–$1.65M makes it genuinely elite. The tradeoffs are real: a WLB score of 3.4/5 signals intensity, there’s no 401(k) match, and pre-IPO equity carries inherent risk. If you’re a data or AI engineer who wants to work at the epicenter of the data lakehouse market with serious pre-IPO upside, Databricks is one of the best opportunities available. If you need liquidity now or value work-life balance above pay, Snowflake, Stripe, or Google may be a better fit. See [the full Databricks culture profile](https://jobsbyculture.com/companies/databricks) and all [open roles](https://jobsbyculture.com/jobs?company=databricks) to dig deeper.

## Open Positions at Databricks

Databricks currently has **840+ open positions** across engineering, product, data science, sales, marketing, and operations. Hiring spans San Francisco (HQ), Seattle, New York, Amsterdam, Singapore, Bangalore, and other global offices. With the anticipated IPO creating a pre-IPO hiring window, 2026 is an unusually attractive time to join.

For the full list of live openings, visit the [Databricks jobs page](https://jobsbyculture.com/jobs?company=databricks). You can also explore the [Databricks culture profile](https://jobsbyculture.com/companies/databricks) for Glassdoor ratings, employee reviews, and culture values, or read our in-depth [working at Databricks in 2026](https://jobsbyculture.com/blog/working-at-databricks-2026) guide.

## Frequently Asked Questions

What is the average salary at Databricks in 2026?+

The median total compensation for a software engineer at Databricks is approximately $504K per year, according to verified salary reports. Total comp ranges from $253K at entry level (L3) to over $1.65M at the principal level (L7). The median includes base salary, RSU equity grants, and annual performance bonuses. Engineers in the San Francisco Bay Area tend to cluster toward the higher end of these ranges.

How does Databricks equity work? Are they pre-IPO?+

Databricks grants RSUs (Restricted Stock Units) that vest on a 4-year schedule with a 1-year cliff. Since Databricks is still private (valued at $134B as of December 2025), RSUs do not convert to liquid shares until a liquidity event — either an IPO or a tender offer. Databricks has not filed an S-1 as of April 2026, though H2 2026 is widely anticipated. Until then, the only way to realize RSU value is through company-sponsored tender offers. The $134B valuation means even at current levels, the pre-IPO equity opportunity is substantial.

How much does a Databricks software engineer make?+

Databricks software engineer total compensation ranges from $253K at L3 (entry) to $1.65M at L7 (principal), with a median of $504K. A typical mid-level engineer (L4) earns around $415K in total comp, combining a base salary of roughly $185K–$215K, RSU equity grants, and performance bonuses. Senior engineers (L5) reach approximately $673K. These figures are based on verified salary reports from April 2026. See all [current Databricks openings](https://jobsbyculture.com/jobs?company=databricks).

Does Databricks pay more than Snowflake?+

Databricks generally pays comparable or slightly higher total compensation than Snowflake at most levels, particularly in equity value given Databricks’ $134B valuation vs. Snowflake’s public market cap. The key difference is liquidity: Snowflake is publicly traded so RSUs are immediately liquid, while Databricks RSUs require a liquidity event (IPO or tender offer). Databricks’ Glassdoor compensation score of 4.3/5 is slightly higher than Snowflake’s, suggesting employees feel well-compensated relative to market.

When is the Databricks IPO?+

As of April 2026, Databricks has not filed an S-1 with the SEC and has not announced a confidential filing. However, following a $4B Series L funding round in December 2025 that pushed the valuation to $134B, most analysts and reports expect an IPO in H2 2026. Databricks CEO Ali Ghodsi has publicly acknowledged the company is evaluating a public offering. For RSU holders, an IPO would trigger a liquidity event allowing them to sell vested shares after the typical 180-day lock-up period.

What benefits does Databricks offer?+

Databricks offers comprehensive benefits including medical, dental, and vision coverage; flexible PTO; cell phone and internet reimbursement; conference and learning budgets; and equity grants. One notable gap cited by employees is the absence of a 401(k) employer match, though the company has indicated this is being evaluated. The overall benefits package receives a 4.3/5 Glassdoor rating from software engineers.

Can you negotiate a Databricks offer?+

Yes, Databricks offers are negotiable — particularly the RSU equity grant size, which is the largest variable component at senior levels. Competing offers from Snowflake, Google, [OpenAI](https://jobsbyculture.com/companies/openai), or Stripe are the strongest negotiating lever. Focus negotiation on the RSU grant rather than base salary, as equity represents the bulk of total comp at L5 and above. Also consider asking about tender offer history and frequency, since RSU liquidity depends on these events before the IPO.

Is Databricks hiring in 2026?+

Yes — Databricks is actively hiring across engineering, product, data science, sales, and go-to-market roles. With [840+ open positions](https://jobsbyculture.com/jobs?company=databricks) and a $5.4B+ annualized revenue run rate, the company is in growth mode heading into its anticipated IPO. Hiring spans San Francisco (HQ), Seattle, New York, Amsterdam, Singapore, Bangalore, and other global offices. The pre-IPO window makes this a particularly compelling time to join.

### See all 840+ open Databricks roles

Filter by role, seniority, and culture values. Every listing includes compensation context.

[See Databricks Jobs →](https://jobsbyculture.com/jobs?company=databricks) [Highest-Paying AI Companies →](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

---

## Document: Databricks Remote Work Policy 2026: Hybrid-First With Strict RTO (Real Data)

# Databricks Remote Work Policy 2026: Hybrid-First With Strict RTO (Real Data)

> Is Databricks remote-friendly in 2026? We analyzed open roles and employee reviews: most engineers need 3 days in-office with badge tracking. Here

Source: https://jobsbyculture.com/blog/databricks-remote-work-policy-2026
Markdown: https://jobsbyculture.com/blog/databricks-remote-work-policy-2026.md
Last updated: 2026-07-14

---
If you’re evaluating [Databricks](https://jobsbyculture.com/companies/databricks) as a potential employer and flexibility matters to you, the reality in 2026 is more restrictive than you might expect. We cross-referenced employee reports on Blind and Glassdoor, Databricks’ careers page, and recent press releases to give you the unvarnished picture.

The short answer: Databricks is **hybrid-first with enforced in-office requirements**, not remote-friendly. Most roles require 3 days per week in a Databricks office, with badge swipes tracked and weekly reports sent to employees and their managers. If remote work is non-negotiable for you, we’ll point you to better options in the data and developer tools space.

## Databricks Remote Policy at a Glance

Metric

Detail

Official policy

Hybrid (3 days in office)

Reality

Enforced hybrid; remote is an exception, not the norm

Attendance tracking

Badge swipes tracked; weekly report to employee & manager

Remote engineering roles

Exceptional cases only (Staff+ level)

Remote-friendly functions

Sales, professional services

HQ

San Francisco, CA (moving to One Sansome Street)

Other major offices

Sunnyvale (new 305k sq ft campus, late 2026), Seattle, NYC, London, Amsterdam, Bangalore, Tokyo

Total employees

~8,000 across 23 countries

Glassdoor rating

4.1 / 5.0 (1,595+ reviews)

Work-life balance

3.9 / 5.0

3 days

Required in-office per week for most Databricks roles — with badge tracking and manager reports

## What “Hybrid” Actually Means at Databricks in 2026

Databricks does not publish a formal remote work policy on its careers page, but employee accounts on Blind and Glassdoor paint a consistent picture. Here’s what the day-to-day reality looks like:

-   **3 days in office is the baseline.** Most employees at Databricks hub locations (San Francisco, Sunnyvale, Seattle, NYC, London) are expected to be in the office at least 3 days per week. This is not a suggestion — badge swipes are tracked.
-   **Attendance reports go to managers.** Weekly badge reports are sent to both the employee and their manager. This is more systematic enforcement than most tech companies currently impose.
-   **Remote engineering is exceptional.** According to employee reports, fully remote engineering roles are reserved for Staff-level or above, and only when Databricks specifically wants to hire a candidate who can’t relocate. This is not a standard offering.
-   **Sales and professional services are different.** These functions have historically had more remote flexibility at Databricks and remain the most remote-friendly part of the company.
-   **A major physical expansion is underway.** Databricks is investing heavily in physical office space — a new 305,000 sq ft campus in Sunnyvale opening in late 2026, and a new SF headquarters at One Sansome Street. This signals the company is betting on in-person culture for the long term.

## Which Databricks Roles Allow Remote Work?

Based on employee reports and job listing patterns, here’s how remote work breaks down by function at Databricks:

-   **Engineering (Software, Data, ML):** Hybrid required at a hub office (3 days/week). Fully remote is a rare exception at Staff Engineer level or above — not listed openly on job postings.
-   **Sales & Account Management:** More commonly remote-eligible, especially for field roles covering a specific territory. Many AE and CSM roles are listed without a required office location.
-   **Professional Services / Solutions Architecture:** Often remote or hybrid, given client-facing travel requirements that make fixed office days impractical.
-   **Product & Design:** Hybrid required at a hub; not typically available as remote roles.
-   **Operations, HR, Finance, Legal:** Hub-office based. Limited remote flexibility.

What’s notably _not_ remote? The core engineering and product org. If you want to work on the Databricks platform, Delta Lake, or Mosaic AI, plan on being in San Francisco or Sunnyvale most of the week.

## Databricks Office Locations in 2026

Databricks has ~8,000 employees across 23 countries. Its physical footprint is expanding aggressively, with two major Bay Area campuses anchoring the company’s in-person culture:

San Francisco, CA

Headquarters · Moving to One Sansome Street (150,000 sq ft) · Leadership & Core Eng

Sunnyvale, CA

New 305,000 sq ft campus · Opening late 2026 · Major engineering hub

Seattle, WA

Engineering & partnerships hub

New York City, NY

Sales, enterprise, & business teams

London, UK

EMEA headquarters · Sales, eng, customer success

Amsterdam, Netherlands

EMEA operations & engineering

Bangalore, India

Engineering presence

Tokyo, Japan

APAC sales & customer success

All of these office locations are in-office or hybrid positions. Databricks does not offer a work-from-anywhere arrangement for employees outside of these hubs. If you’re in a country where Databricks has no office, you would need to be a contractor or work through a third-party employer of record arrangement.

## What Employees Say About Remote Work at Databricks

Employee reviews on Glassdoor and Blind reveal the nuances of Databricks’ hybrid policy in practice:

Con — Blind / employee report “3 days in office, badge is tracked and they send a report to you and your manager about your attendance each week.”

Con — Glassdoor review “Remote roles for engineering are only exceptional cases, generally senior staff and above and only if they really want you. It’s only remote for professional services and sales.”

Pro — Glassdoor review “Flexible work schedules and understanding management. Remote is nice when it applies to your role.”

Pro — Glassdoor review “Strong compensation, elite technical peers, and real product impact on the data lakehouse category. The best data infrastructure work in the industry.”

The 3.9/5 work-life balance score on Glassdoor is solid but not exceptional for a company of this technical caliber. Employees consistently praise the **compensation and equity packages** and the **technical depth** of colleagues — but the RTO enforcement and frequent org restructuring are the most common friction points.

For deeper context on compensation, see our [Databricks compensation guide for 2026](https://jobsbyculture.com/blog/databricks-compensation-2026), which covers base salary, equity, and total comp benchmarks by level.

## Databricks vs. Snowflake, Google, Stripe & GitLab on Remote Work

How does Databricks stack up against its closest peers and competitors on remote work flexibility?

Company

Remote Policy

Glassdoor

WLB

Enforcement

[Databricks](https://jobsbyculture.com/companies/databricks)

Hybrid (3 days in office)

4.1

3.9

Badge tracking + manager reports

Snowflake

Hybrid (3 days new hires, 2 days existing)

3.8

3.6

Flexible enforcement, team-dependent

Google

Hybrid (3 days in office)

4.2

3.9

Badge tracking; varies by team

Stripe

Hybrid; remote for senior eng exceptions

4.1

3.8

Moderate; team-based

GitLab

100% remote — no offices, 70+ countries

4.2

4.1

No enforcement needed

The key finding: Databricks and Google have similar hybrid policies on paper, but Databricks’ badge tracking enforcement is more systematic than what most Google employees report. Snowflake is fractionally more lenient with its 2-day requirement for existing employees. **GitLab is the true remote outlier in this peer group** — fully remote, no offices, employees in 70+ countries. If remote work is your primary filter, GitLab and Elastic are the standout choices in the data and developer tools category.

For a side-by-side culture comparison, see [Databricks vs Snowflake](https://jobsbyculture.com/compare/databricks-vs-snowflake) or [Databricks vs GitLab](https://jobsbyculture.com/compare/databricks-vs-gitlab).

## Should You Join Databricks If You Want Remote Work?

Here’s the honest framework:

-   **Join Databricks if:** You can commute to San Francisco, Sunnyvale, Seattle, NYC, or London. You want elite technical peers, above-market comp, and to work on the defining data infrastructure platform of the decade. The hybrid model is a reasonable trade-off for the caliber of the work and the people.
-   **Look elsewhere if:** You are fully remote and don’t want to relocate. Databricks’ badge tracking and 3-day in-office requirement are not going away — if anything, the Sunnyvale campus expansion signals a stronger in-office push in 2026 and beyond.
-   **Ask during the interview if:** You’re senior (Staff+) and have specific flexibility needs. Some teams are more lenient than others, and at Staff level there is real negotiating room — but you need to surface this before you accept an offer, not after.

### The Bottom Line

Databricks is one of the best places in the world to work on data infrastructure — but it is not a remote-friendly company in 2026. The 3-day-in-office requirement with badge tracking is real, enforced, and expanding as the company builds out its Sunnyvale campus. If you can be in the Bay Area, Seattle, NYC, or London, Databricks offers elite technical work, strong equity, and a genuine learning culture. If remote is non-negotiable, consider [GitLab](https://jobsbyculture.com/companies/gitlab) (100% remote, 70+ countries) or [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) (remote-first, 40+ countries) in the data/observability space.

## Open Positions at Databricks

Databricks currently has hundreds of open positions across engineering, sales, product, and operations. The majority are based in San Francisco, Sunnyvale, Seattle, NYC, and London. Sales and professional services roles are most commonly listed with remote flexibility.

For the full list of live openings with location filters, visit the [Databricks jobs page on JobsByCulture](https://jobsbyculture.com/jobs?company=databricks) or explore the [Databricks culture profile](https://jobsbyculture.com/companies/databricks) for Glassdoor ratings, employee reviews, and culture values.

## Frequently Asked Questions

Is Databricks remote friendly?+

Databricks is not remote-friendly for most roles in 2026. The company enforces a hybrid policy requiring 3 days per week in office for most employees, with badge tracking and weekly attendance reports sent to both employees and managers. Remote work is reserved for exceptional cases — primarily senior-level engineers or sales and professional services roles. If you need a fully remote data engineering role, consider Elastic, Grafana Labs, or GitLab instead.

What is Databricks’ remote work policy in 2026?+

Databricks’ remote work policy in 2026 is hybrid-first with strict in-office enforcement. Most employees are required to be in a Databricks office 3 days per week. Badge swipes are tracked and a weekly attendance report is sent to both the employee and their manager. Fully remote roles are available but limited to sales, professional services, and exceptional engineering cases at senior staff level or above.

Where are Databricks’ offices located?+

Databricks is headquartered in San Francisco, CA (moving to One Sansome Street). The company has offices in Sunnyvale, CA (a major new 305,000 sq ft campus opening late 2026), Seattle, WA, New York City, NY, London (EMEA HQ), Amsterdam, Bangalore, Tokyo, Sydney, and additional EMEA/APAC locations. San Francisco and the Bay Area remain the center of gravity for leadership and engineering.

Can you work fully remotely at Databricks?+

Fully remote roles at Databricks are rare and role-dependent. Sales and professional services roles are more commonly remote. Engineering remote roles are exceptions reserved for senior staff (Staff Engineer and above) who Databricks specifically wants to hire regardless of location. Most engineering, product, and operations roles require in-office presence at a Databricks hub location 3 days per week. See all [current Databricks openings](https://jobsbyculture.com/jobs?company=databricks) to check individual role requirements.

What do Databricks employees say about remote work?+

Databricks employees on Glassdoor and Blind consistently report that: (1) the 3-day in-office requirement is enforced via badge tracking, (2) weekly attendance reports go to managers, and (3) fully remote engineering is only available for senior staff in exceptional cases. The Glassdoor WLB score is 3.9/5. Most complaints about WLB center on the RTO enforcement and frequent org changes, not hours. Compensation and technical culture remain highly rated.

How does Databricks compare to Snowflake, Google, Stripe, and GitLab on remote work?+

Compared to peers: Snowflake has a hybrid 3-2 policy (3 days for new hires, 2 days for existing employees) with softer enforcement — slightly more flexible than Databricks. Google enforces 3 days in-office with badge tracking similar to Databricks. Stripe offers hybrid with remote exceptions for senior engineers, team-dependent enforcement. GitLab is the outlier — fully remote across 70+ countries with no physical offices. For remote-first data work, GitLab, Grafana Labs, or Elastic are the strongest alternatives to Databricks.

### Browse Databricks’ open roles

Filter by location, function, and seniority. See which positions offer remote flexibility.

[See Databricks Jobs →](https://jobsbyculture.com/jobs?company=databricks) [Databricks Compensation Guide →](https://jobsbyculture.com/blog/databricks-compensation-2026)

---

## Document: Datadog Compensation in 2026: Engineer Salaries, Equity & Total Comp by Level

# Datadog Compensation in 2026: Engineer Salaries, Equity & Total Comp by Level

> Datadog engineer compensation in 2026: $185K-$574K+ total comp by level, DDOG stock equity, bonuses, benefits, and how it compares to Grafana Labs, Snowflake, and other observability companies.

Source: https://jobsbyculture.com/blog/datadog-compensation-2026
Markdown: https://jobsbyculture.com/blog/datadog-compensation-2026.md
Last updated: 2026-07-14

---
[Datadog](https://jobsbyculture.com/companies/datadog) has become one of the most rewarding places to work in infrastructure software — and “rewarding” isn’t just a euphor. DDOG stock has turned early employees into millionaires. The company just posted its first billion-dollar revenue quarter. Compensation & Benefits is rated 4.4/5 on employee reviews — the highest-rated category across the company. For engineers evaluating an offer or preparing to negotiate, here’s everything you need to know about Datadog’s compensation structure in 2026.

## Datadog Compensation at a Glance

$237K

Median Engineer TC

$73B

Market Cap (DDOG)

4.4/5

Comp & Benefits Rating

Datadog’s compensation philosophy is straightforward: pay at the top of the infrastructure software market, lean heavily on equity, and let the stock price do the work of making packages competitive. It’s a strategy that has worked spectacularly well for a decade — DDOG trades around $203 per share as of May 2026, with a market cap of $73 billion.

## Total Compensation by Engineering Level

Datadog uses a structured engineering ladder with clearly defined levels. Here’s what verified employee-reported compensation data shows for each level in the United States:

SE1 (New Grad)

$185K – $220K TC

SE2 (Mid-Level)

$230K – $290K TC

Senior Engineer

$350K – $430K TC

Staff Engineer

$500K – $574K+ TC

Sr. Staff / Principal

$600K+ TC

The jump from SE2 to Senior is where Datadog compensation becomes genuinely impressive. A mid-level engineer earning $260K TC can expect to cross $350K at the Senior level — a 35%+ increase that reflects both higher base salary and significantly larger equity grants. At Staff level and above, equity dominates the package and total comp can exceed $500K.

## How the Compensation Package Breaks Down

### Base Salary

Base salaries at Datadog are competitive but not outliers. SE1 base is typically $140K–$160K; Senior base ranges from $180K–$220K; Staff base is $200K–$250K. The base is the predictable, tax-friendly portion of the package. Datadog doesn’t play the game of keeping base low and loading everything into equity — the base alone is livable in New York, which is where many Datadog engineers are based.

### Equity (DDOG RSUs)

This is where Datadog compensation gets interesting. RSUs are granted in DDOG stock (NASDAQ: DDOG) and vest over four years, typically with a one-year cliff. At senior levels and above, equity represents 30–50% of total compensation.

The math matters here. An engineer who received a $200K RSU grant when DDOG was trading at $100 would have seen that position double to $400K as the stock rose to $200. This is why Datadog’s employee reviews consistently call out equity as a wealth builder — the stock has compounded at roughly 25% annually since IPO.

Of course, stock appreciation isn’t guaranteed. DDOG has had volatile periods (it dropped below $70 in 2022 before recovering). But the long-term trend has rewarded patient employees, and the company’s strong revenue growth ($4.3B guided for 2026) supports continued stock price appreciation.

Employee Pro “Excellent compensation and equity — DDOG stock has been a genuine wealth builder. The total comp package is hard to beat in the infrastructure space.”

### Annual Bonus

Datadog offers annual performance bonuses that typically range from 10–15% of base salary for individual contributors. The bonus is tied to both individual performance and company performance. In strong years (like 2025–2026, where revenue grew 25%+), bonuses tend to hit or exceed target. At manager levels and above, the bonus percentage increases.

### Benefits

Beyond cash and equity, Datadog offers a comprehensive benefits package:

-   **Health insurance:** Medical, dental, and vision with the company covering a significant portion of premiums
-   **401(k):** Company match, though some employees note it’s less generous than peers like Google or Meta
-   **Daily catered lunch** in New York offices
-   **Fitness reimbursement** and wellness programs
-   **Generous PTO** plus company holidays
-   **Parental leave:** Competitive leave policy for new parents
-   **Learning budget:** Conference attendance and professional development

Employee Con “Medical benefits are average compared to FAANG. 401k match is below what some competitors offer. But the equity more than makes up for it.”

## The Engineering Levels Explained

Understanding Datadog’s level system is critical for negotiation and career planning. Here’s how the IC (Individual Contributor) and management tracks map:

SE1

New grad / 0–2 years. Learning the codebase, shipping features with guidance.

SE2

2–4 years. Independent ownership of features. Can design and implement end-to-end.

Senior (= Team Lead)

4–7 years. Technical leadership of projects. Mentors junior engineers. Drives architectural decisions.

Staff (= EM)

7+ years. Cross-team technical influence. Shapes engineering strategy across multiple teams.

Sr. Staff (= Director)

Org-wide technical leadership. Sets technical direction for entire product areas.

Principal (= VP)

Company-wide technical authority. Defines engineering standards and long-term architecture.

Most external hires join at SE2 or Senior. Getting leveled correctly at hire is one of the most impactful compensation decisions you’ll make — a Senior hire at Datadog earns $100K–$150K more in total comp than an SE2. If you have 4+ years of relevant experience and are being leveled at SE2, push back. The data supports it.

## How Datadog Comp Compares

Datadog sits at the top of the infrastructure and observability market for compensation. Here’s how it stacks up against peers at the Senior Engineer level:

Datadog

$350K – $430K TC

[Snowflake](https://jobsbyculture.com/blog/snowflake-compensation-2026)

$330K – $450K TC

[Cloudflare](https://jobsbyculture.com/blog/cloudflare-compensation-2026)

$280K – $380K TC

[Grafana Labs](https://jobsbyculture.com/blog/working-at-grafanalabs-2026)

$190K – $255K TC

Elastic

$200K – $300K TC

Against observability peers, Datadog wins decisively. Grafana Labs pays well for a remote company, but the gap at senior levels is $100K+. Elastic and New Relic lag further behind. Snowflake is the closest comp competitor — similar market cap, similar engineering challenges, similar pay.

Against frontier AI labs, Datadog is competitive but not leading. [Anthropic ($300K–$490K)](https://jobsbyculture.com/blog/anthropic-compensation-2026) and [OpenAI ($350K–$550K)](https://jobsbyculture.com/blog/openai-compensation-2026) pay more at equivalent levels, but those companies are pre-IPO with less liquid equity. Datadog’s DDOG stock is publicly traded, which means you can sell shares immediately upon vesting — a genuine advantage over paper wealth at private companies.

## Negotiation Tips for Datadog Offers

Based on verified compensation data and patterns across hundreds of Datadog offers, here’s what to know before negotiating:

-   **Equity is the primary negotiation lever.** Base salary bands are relatively fixed. But RSU grants have meaningful flexibility, especially at Senior and above. A strong competing offer can unlock 20–30% more equity.
-   **Signing bonuses exist.** Datadog offers signing bonuses to offset unvested equity from your current employer. If you’re leaving money on the table, make sure they know.
-   **Level matters more than negotiation.** The difference between SE2 and Senior comp is $100K+. If you have borderline experience, invest your negotiation energy in leveling up rather than squeezing more money at a lower level.
-   **Competing offers help — especially from similar companies.** Offers from Snowflake, Cloudflare, or CrowdStrike carry significant weight. AI lab offers (Anthropic, OpenAI) also signal market value effectively.
-   **Location adjustments exist but are modest.** Datadog adjusts pay for location but not as aggressively as some peers. The New York premium is built into the base numbers above; remote or lower-cost locations may see 10–15% adjustments.

## What Employees Actually Say About Pay

Datadog’s 4.4/5 Compensation & Benefits rating tells the broad story, but the details in employee reviews add nuance:

Compensation & Benefits 4.4

Culture & Values 4.3

Overall Rating 4.2

Career Opportunities 4.0

Work-Life Balance 3.8

The consistent theme: employees feel genuinely well-compensated. The equity story is real — DDOG’s stock appreciation has created meaningful wealth. The trade-off that comes up repeatedly is pace. Datadog is a [ship-fast](https://jobsbyculture.com/values/ship-fast) culture where the workload is high, deadlines are tight, and on-call rotations are demanding. The compensation is generous in part because the company expects a lot.

This is the honest calculus of working at Datadog: you will earn at the top of the market, your equity will likely appreciate, but you won’t be coasting. Multiple reviews describe the culture as “intense but fair” — you’re well-paid for the intensity, but the intensity is real.

### Explore Datadog Jobs

See all open Datadog roles with culture insights and compensation data.

[Browse Datadog Jobs →](https://jobsbyculture.com/jobs?company=datadog) [View Culture Profile →](https://jobsbyculture.com/companies/datadog)

## Is Datadog Compensation Worth It?

If you optimize for total compensation in infrastructure software, Datadog is hard to beat. The combination of strong base salary, meaningful RSU grants, and a stock that has consistently appreciated creates a package that rivals Big Tech at senior levels.

The question isn’t whether Datadog pays well — it does. The question is whether the pace and intensity match what you want from your career. For engineers who thrive in high-velocity environments, want to work on genuinely challenging observability problems at massive scale, and value being rewarded handsomely for their contributions, Datadog is one of the best options in the market.

For engineers who prioritize work-life balance over maximum compensation, companies like [Grafana Labs](https://jobsbyculture.com/blog/working-at-grafanalabs-2026) (4.2/5 WLB, fully remote, 30 days PTO) or [PostHog](https://jobsbyculture.com/companies/posthog) (4.7 Glassdoor, remote-first) offer different trade-offs worth considering — at lower total comp, but with more flexibility.

## Frequently Asked Questions

What is the average Datadog engineer salary in 2026? +

The median total compensation for a software engineer at Datadog in the US is approximately $237K per year. This includes base salary, annual bonus, and DDOG stock equity. Senior engineers earn $350K–$430K+ TC, while staff engineers can reach $500K–$574K+.

How much equity do Datadog engineers get? +

Datadog grants RSUs in DDOG stock traded on NASDAQ. Equity is a significant portion of total comp — often 30–50% of the package at senior levels and above. With DDOG trading around $200/share and a $73B market cap, the stock has been a genuine wealth builder for employees who joined in earlier years.

How does Datadog comp compare to other observability companies? +

Datadog pays at the top of the observability market. Senior engineers earn $350K–$430K+ TC vs. Grafana Labs ($190K–$255K), Elastic ($200K–$300K), and Cloudflare ($280K–$380K). Snowflake ($330K–$450K) is the closest competitor. Frontier AI labs like Anthropic and OpenAI pay more but with less liquid equity.

What benefits does Datadog offer? +

Datadog offers comprehensive health insurance, 401(k) with match, daily catered lunch in NYC offices, fitness reimbursement, generous PTO, parental leave, and learning & development budget. Compensation & Benefits is rated 4.4/5 on employee reviews — the highest-rated category across the company.

What are the engineering levels at Datadog? +

Datadog’s engineering ladder includes SE1, SE2, Senior, Staff, Senior Staff, and Principal on the IC track. The management track parallels this: Team Lead (= Senior), Engineering Manager (= Staff), Director (= Senior Staff), and VP (= Principal). Most new grad hires start at SE1; experienced hires typically join at SE2 or Senior.

Does Datadog negotiate salary offers? +

Yes, Datadog is known for competitive initial offers but will negotiate, especially on equity and signing bonuses. Having competing offers from Snowflake, Cloudflare, or AI labs significantly strengthens your position. Base salary bands have less flexibility than equity grants, which are the primary lever at senior levels.

---

## Document: Google DeepMind Salary 2026: $300K–$500K TC, Google RSUs & How It Compares

# Google DeepMind Salary 2026: $300K–$500K TC, Google RSUs & How It Compares

> Google DeepMind compensation in 2026: $300K-$500K total comp for engineers, with publicly-traded Google RSUs that are immediately liquid. Real compensation data from verified reports, Google leveling, benefits, and how it compares to OpenAI, Anthropic, and Meta FAIR.

Source: https://jobsbyculture.com/blog/deepmind-compensation-2026
Markdown: https://jobsbyculture.com/blog/deepmind-compensation-2026.md
Last updated: 2026-07-14

---
TL;DR — Key Takeaways

-   Google DeepMind engineers earn **$300K–$500K total compensation**, with senior research scientists exceeding $500K+, based on employee review data and verified compensation reports Google comp figures.
-   Equity is granted as **Google Stock Units (GSUs)** — publicly traded Alphabet shares (GOOG) that are _immediately liquid_ upon vesting. No lock-up, no tender offer required.
-   DeepMind uses **Google’s leveling system (L3–L8+)**. Total comp by level: L4 ~$303K, L5 ~$413K, L6 ~$590K, L7 ~$939K (verified compensation data).
-   Glassdoor overall score of **4.2/5**, with a Comp & Benefits score of **4.5/5** — reflecting high satisfaction with Google-level perks and liquid equity.

In This Article

1.  [Quick Stats at a Glance](#glance)
2.  [The Short Version](#short-version)
3.  [Base Salary by Level](#base-salary)
4.  [How Google RSUs Work](#rsus)
5.  [Bonus Structure](#bonus)
6.  [Benefits & Perks](#benefits)
7.  [How DeepMind Compares](#comparison)
8.  [The Liquid Equity Advantage](#equity-angle)
9.  [Negotiation Tips](#negotiation)
10.  [Frequently Asked Questions](#faq)

[Google DeepMind](https://jobsbyculture.com/companies/deepmind) isn’t the highest-paying frontier AI lab by raw headline number — but it may offer the most _reliable_ compensation of any of them. While [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026) pays more in total comp and [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026) earns the highest comp satisfaction scores, DeepMind’s singular advantage is its equity structure: publicly-traded Google RSUs (Alphabet, GOOG) that are immediately liquid the moment they vest. No tender offers. No lock-up periods. No waiting for an IPO that may never come.

Merged with Google Brain in 2023, DeepMind is now a ~7,000-person organization at the center of Google’s AI strategy — building Gemini, AlphaFold 3, and a growing portfolio of applied AI products. Understanding how compensation works here means understanding Google’s leveling system, GSU grant structures, and what you’d sacrifice in raw TC versus OpenAI and Anthropic in exchange for that equity liquidity.

## Quick Stats at a Glance

Component

Detail

Company

Google DeepMind

Parent

Alphabet Inc. (NASDAQ: GOOG)

Employees

~7,000 (post-Google Brain merger)

Glassdoor overall

4.2 / 5.0 (253 reviews)

Comp & Benefits score

4.5 / 5.0

Work-Life Balance

4.0 / 5.0

Recommend to friend

85%

CEO approval

86% (Demis Hassabis)

Engineer TC range

$300K–$500K+ (L4–L6)

Research scientist TC

$300K–$500K+ (L4–L7)

Equity type

Google Stock Units (GSUs) — publicly traded

Open roles

84+ (engineering, research, operations)

4.5 / 5

Glassdoor Compensation & Benefits score — highest transparency, most liquid equity in frontier AI

## The Short Version

Google DeepMind compensation follows Google’s standard pay structure: a competitive base salary, an annual GSU (Google Stock Unit) equity grant, and a performance bonus. Because Alphabet is a publicly traded company, the RSU component is real, liquid money the day it vests — you can sell Google stock on the open market without needing a tender offer or an IPO. This is the single biggest practical difference between working at DeepMind and working at OpenAI or Anthropic.

The trade-off: the headline TC numbers are lower than OpenAI at most levels, and roughly comparable to Anthropic. A mid-senior DeepMind engineer (L5) earns approximately $413K in total comp, versus $555K median at OpenAI. But $413K in liquid, publicly-priced Alphabet stock is a meaningfully different proposition than $555K in OpenAI PPUs that are only liquid when OpenAI decides to hold a tender offer.

## Base Salary by Level

DeepMind uses Google’s standard leveling framework (L3 through L8+). Most full-time research engineers and software engineers join at L4 or L5, while senior research scientists with strong publication records often enter at L5 or L6. These total compensation figures are based on verified salary data for Google roles and Glassdoor submissions, which are representative for DeepMind positions given the shared Google compensation infrastructure.

Level

Title

Base Salary (Est.)

Est. Total Comp

L3

Software Engineer (entry)

$140K–$185K

~$206K

L4

Software / Research Engineer

$170K–$220K

~$303K

L5

Senior Software / Research Engineer

$200K–$260K

~$413K

L6

Staff Engineer / Senior Research Scientist

$240K–$310K

~$590K

L7

Principal Engineer / Principal Scientist

$280K–$370K

~$939K

Research scientists on the pure-research track generally earn slightly more than software engineers at equivalent levels, given the competitive market for PhD-level ML researchers. Glassdoor reports US base salaries of $210K–$264K for Research Engineer and Research Scientist titles, which aligns with the L4–L5 range above.

Interested in these salary ranges? See what’s open at DeepMind now. [See open Google DeepMind positions →](https://jobsbyculture.com/jobs?company=deepmind)

## How Google RSUs (GSUs) Work

This is the most important section if you’re comparing a DeepMind offer to one from OpenAI or Anthropic. Google calls its RSUs “GSUs” (Google Stock Units), but they function identically to standard RSUs at any public company. Here’s the full picture:

-   **GSUs are publicly traded Alphabet shares.** When your GSUs vest, you receive actual GOOG stock that you can sell on the open market, transfer, or hold — immediately, without restriction, without a company-facilitated tender offer. This is fundamentally different from OpenAI PPUs or Anthropic RSUs.
-   **Vesting schedule varies by grant size.** Google vests GSUs on a schedule tied to the number of shares in your grant: Annually (<32 GSUs), Semi-annually (32–63 GSUs), Quarterly (64–159 GSUs), Monthly (160+ GSUs). Most senior hires receive grants in the quarterly-to-monthly range.
-   **4-year standard vesting.** Like most tech RSU grants, the standard term is 4 years. You may vest 25% in year one, then monthly or quarterly thereafter, depending on grant size.
-   **Refresher grants are standard.** Annual refresh grants are common at Google, especially for strong performers at L5+. This maintains your RSU run rate as earlier grants vest off.
-   **Stock price risk is known and visible.** Unlike private company equity, Alphabet’s stock price is public information. You can see exactly what your unvested RSUs are worth at any time — and model the downside as clearly as the upside.
-   **No cap on value.** Unlike OpenAI’s original PPU structure (which included profit caps), GSUs are straightforward equity. If Alphabet stock doubles, your RSU value doubles proportionally.

Pro — Glassdoor review “The RSUs are real, liquid money. I can sell them the day they vest. No waiting for a tender offer, no praying for an IPO. That certainty is genuinely valuable.”

Con — Glassdoor review “The absolute TC is lower than what you’d see at OpenAI or Anthropic. If the private companies eventually go public at high valuations, you may have left a lot on the table.”

The fundamental choice for candidates: _predictable liquidity vs. potential upside._ Google RSUs let you monetize your compensation reliably, quarter by quarter. OpenAI PPUs and Anthropic RSUs carry more binary risk — potentially worth a great deal more, potentially worth less if valuation expectations don’t materialize.

Related Reading

-   [Working at Google DeepMind in 2026: Culture, Research & What Employees Say](https://jobsbyculture.com/blog/working-at-deepmind-2026)
-   [OpenAI Compensation 2026: Salary, PPU Equity & How It Compares](https://jobsbyculture.com/blog/openai-compensation-2026)
-   [Highest-Paying AI Companies in 2026: Full Ranking](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

## Bonus Structure

Google DeepMind follows Google’s standard bonus framework, which is more structured and transparent than what you’ll find at most private AI startups:

-   **Annual performance bonus:** Target bonuses are typically 10–20% of base salary depending on level. L4 engineers might target 10–15%, while L6+ staff and principal-level employees often target 15–20%+. Bonus payout is tied to individual performance ratings and overall Google/DeepMind performance.
-   **Spot bonuses:** Google managers can award spot bonuses (typically $1K–$10K) for exceptional contributions to specific projects, research breakthroughs, or product launches. These are more common in the research org than at most Big Tech companies.
-   **Signing bonuses:** Signing bonuses are common for senior candidates and for hires joining from competitors. These can range from $30K to $150K+ at senior levels (L5+), and are often structured to offset unvested equity being left behind at the previous employer.
-   **Peer-to-peer recognition:** Google’s internal recognition system allows peers to award small monetary bonuses (“peer bonuses”), which are a modest but meaningful signal of collaborative culture.

At DeepMind specifically, research-related bonuses may be awarded for high-impact publications or breakthrough results on major projects like AlphaFold or Gemini components. These are discretionary but have been reported in Glassdoor reviews as a meaningful additional compensation pathway for top researchers.

## Benefits & Perks

As a Google subsidiary, DeepMind employees receive Google’s full benefits package — one of the most comprehensive in the tech industry and a meaningful contributor to the lab’s 4.5/5 Comp & Benefits score on Glassdoor:

-   **Health insurance:** Comprehensive medical, dental, vision, and mental health coverage for employees and dependents. Google covers the full premium for employees.
-   **401(k) match:** Google matches 50% of 401(k) contributions up to the annual IRS limit. This is a significant long-term wealth building benefit that smaller AI startups typically can’t match.
-   **Parental leave:** Generous paid parental leave — reported at 18–24 weeks for primary caregivers. Adoption assistance up to $25,000 is also available.
-   **Daily meals:** Free breakfast, lunch, and dinner at London (King’s Cross HQ) and other major offices. This is a well-documented Google perk that DeepMind employees retain.
-   **Education budget:** Conference attendance, course reimbursement, and professional development stipends. Particularly relevant at a research lab where attending NeurIPS, ICML, and ICLR is expected.
-   **Fitness & wellness:** On-site fitness centers at major locations, plus gym membership reimbursements. Mental health support through counseling services.
-   **Phone & commuter benefits:** ~$70/month phone bill reimbursement and pre-tax commuter benefits.
-   **Life insurance & disability:** Standard Google group life insurance and long-term disability coverage.

Pro — Glassdoor review “Google-level benefits are genuinely excellent. Free lunch, comprehensive health cover, good parental leave, and the RSUs are real money the day they vest. The total package is more than the headline number suggests.”

Con — Glassdoor review “Work-life balance is better than OpenAI, but the bureaucracy and slow decision-making can be frustrating when you’re used to a faster-moving environment.”

## How Google DeepMind Compares

DeepMind competes for talent primarily with other frontier AI labs and top-tier Big Tech research divisions. Here’s how the full compensation picture stacks up:

Company

Engineer TC

Comp Score

Equity Type

Equity Liquidity

[OpenAI](https://jobsbyculture.com/companies/openai)

$249K–$1.28M

4.4 / 5

PPUs (private)

Tender offer only

[Anthropic](https://jobsbyculture.com/companies/anthropic)

$300K–$490K

4.8 / 5

RSUs (private)

Limited secondary

[DeepMind](https://jobsbyculture.com/companies/deepmind)

$300K–$500K+

4.5 / 5

Google RSUs (public)

Immediate on vest

Meta FAIR

$280K–$600K+

4.2 / 5

Meta RSUs (public)

Immediate on vest

Microsoft Research

$250K–$450K

4.0 / 5

MSFT RSUs (public)

Immediate on vest

Key takeaways from the comparison:

-   **OpenAI pays the most in raw TC,** but the PPU equity is private and illiquid outside of periodic tender events. The gap between OpenAI’s $555K median and DeepMind’s $413K at L5 is real — but so is the difference in equity certainty.
-   **Anthropic and DeepMind are broadly comparable in TC range** ($300K–$500K), though Anthropic’s comp satisfaction score is slightly higher. Anthropic’s equity is private and has no current secondary market; DeepMind’s is publicly liquid.
-   **Meta FAIR is the most direct competitor to DeepMind** on equity structure: both offer publicly traded RSUs, both have research-heavy cultures. Meta’s senior-level TC can exceed DeepMind’s at L6+, but DeepMind’s research environment and culture are widely considered more similar to an academic lab.
-   **Microsoft Research pays less** than DeepMind at most levels, and the research culture is considered less compelling than post-merger DeepMind with its access to Google’s TPU infrastructure.

For a comprehensive ranking of AI lab salaries, see our [highest-paying AI companies in 2026](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) analysis.

## The Liquid Equity Advantage: Google Stock vs. PPUs vs. Private RSUs

This is the central question for anyone comparing frontier AI lab offers in 2026. Let’s be specific about what “equity liquidity” actually means in practice.

### Google RSUs (DeepMind)

The moment your GSUs vest, you have real money. You can sell GOOG on any brokerage, transfer shares, or hold for the long term. The stock price is publicly known every minute of every trading day. If Alphabet is trading at $180/share and you vest 500 shares, you have $90,000 — not a number on a spreadsheet, but actual liquid value. This is the compensation model most engineers learned in finance 101.

### OpenAI PPUs

PPUs vest, but they’re not publicly traded. The only way to realize value is during a company-facilitated tender offer, where investors agree to buy PPUs from employees at a set price. OpenAI has run these events — reportedly facilitating $10B+ in secondary transactions — but the timing, pricing, and quantity you can sell in any given event is at OpenAI’s discretion. If you need liquidity between tender events (for a home purchase, taxes on another event, etc.), you cannot easily access it.

### Anthropic RSUs

Anthropic’s RSUs are traditional private-company equity. There’s no current secondary market of significance. The shares have value at Anthropic’s current ~$61.5B valuation, but that value is entirely on paper until an IPO or acquisition. Anthropic has not run formal tender offers at the same scale as OpenAI.

Day 1

Google RSUs vest and are immediately liquid — no tender offer, no lock-up, no IPO required

The practical implication: for an engineer who needs to plan around real cash flows — mortgage payments, taxes, tuition, financial planning — DeepMind’s compensation is significantly more predictable than either OpenAI or Anthropic, even if the headline TC is lower. The question is ultimately how much you discount the uncertainty of private equity, and whether you believe in OpenAI’s or Anthropic’s upside strongly enough to accept that uncertainty.

## Negotiation Tips

If you have a Google DeepMind offer, here’s how to approach the negotiation:

-   **Focus on the GSU grant and level, not base salary.** Google’s base salaries are relatively standardized by level. The GSU equity grant and your entry level are the highest-leverage variables. Getting leveled at L5 instead of L4 can be worth $100K+ per year in total comp.
-   **Leverage competing offers from OpenAI, Anthropic, or Meta FAIR.** Offers from other frontier AI labs are the strongest negotiation lever. Google recruiters are experienced at matching or improving on competing comp packages. A competing L5 Anthropic offer or an OpenAI offer typically unlocks additional RSU grant room.
-   **Request a signing bonus for unvested equity.** If you’re leaving unvested RSUs, PPUs, or options at another company, ask for a signing bonus to bridge the gap. DeepMind/Google routinely offers signing bonuses in the $30K–$150K range for senior candidates with meaningful unvested equity at previous employers.
-   **Push for level during the interview, not after.** Getting re-leveled from L4 to L5 after an offer is much harder than being leveled correctly during the process. If you have staff-level experience (tech lead, principal engineer, extensive publication record), advocate for L5+ leveling during the technical loop.
-   **Know the GSU value in dollars, not shares.** When comparing offers, convert all equity to dollar values using the current Alphabet stock price. “3,000 GSUs over 4 years” has a concrete dollar value today that you can compare directly to “$2M PPU grant at OpenAI.”
-   **Consider the effective risk-adjusted value.** If you apply a 30–40% discount to private company equity (a common financial planning approach), a $300K DeepMind offer with liquid RSUs may be more valuable than a $400K private-lab offer on a risk-adjusted basis.

### Is Google DeepMind Compensation Worth It?

If you want the highest raw TC in frontier AI, go to OpenAI. If you want the best comp satisfaction score, go to Anthropic. But if you want the most reliable, predictable, immediately spendable compensation in the industry, DeepMind’s Google RSU structure is unmatched. The $300K–$500K range is competitive with every non-OpenAI option, the benefits are genuinely excellent, and the work-life balance score (4.0/5) is the best among frontier AI labs. DeepMind is the right choice for engineers and researchers who value equity certainty, world-class research infrastructure, and career longevity over lottery-ticket upside.

## Open Positions at Google DeepMind

Google DeepMind has **84+ open positions** across research, engineering, and operations as of April 2026. The lab is actively expanding its work on Gemini, AlphaFold successors, and generative modelling research programs. Roles span London (King’s Cross HQ), Mountain View, New York, Paris, and other global offices.

For the full list of live openings, visit the [DeepMind jobs page](https://jobsbyculture.com/jobs?company=deepmind). You can also explore the [DeepMind culture profile](https://jobsbyculture.com/companies/deepmind) for Glassdoor ratings, employee reviews, and culture values. For a deeper look at what it’s actually like to work there, see our [Working at Google DeepMind in 2026](https://jobsbyculture.com/blog/working-at-deepmind-2026) guide.

## Frequently Asked Questions

What is the average salary at Google DeepMind in 2026?+

The average total compensation at Google DeepMind ranges from approximately $300K–$500K per year for software engineers and research engineers, based on Glassdoor and verified compensation data. Glassdoor reports average US base salaries of $210K–$264K for Research Engineers and Research Scientists. Senior levels (L6+) and research scientists with strong publication records can exceed $500K in total comp.

Does Google DeepMind use RSUs or stock options?+

Google DeepMind uses Google Stock Units (GSUs), which are functionally identical to standard RSUs. Because Alphabet (GOOG) is publicly traded on NASDAQ, DeepMind employees receive equity that is immediately liquid upon vesting — no lock-up, no tender offer required. GSUs vest on a schedule that depends on grant size: annually for smaller grants, or semi-annually, quarterly, or monthly for larger grants. This makes DeepMind’s equity the most straightforwardly liquid of all frontier AI labs.

How does Google DeepMind compensation compare to OpenAI?+

[OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026) generally pays more in raw total compensation — its median engineer TC of $555K exceeds DeepMind’s $300K–$500K range. However, DeepMind’s equity (Google RSUs) is publicly traded and immediately liquid, while OpenAI’s PPUs (Profit Participation Units) are private and only liquid during periodic tender offers. For engineers who prioritize equity certainty and liquidity, DeepMind has a meaningful advantage despite the lower headline number.

What Google levels does DeepMind use?+

Google DeepMind uses Google’s standard leveling system: L3 (entry-level engineer), L4 (software engineer), L5 (senior software engineer), L6 (staff software engineer), L7 (senior staff / principal), and L8+ (distinguished engineer). Research roles use the same framework. Based on verified salary reports, total compensation by level is approximately: L4 ~$303K, L5 ~$413K, L6 ~$590K, L7 ~$939K. DeepMind’s research-heavy culture means many senior hires enter at L5 or L6.

What benefits does Google DeepMind offer?+

As a Google subsidiary, DeepMind employees access Google’s full benefits suite: comprehensive medical, dental, and vision insurance; a 401(k) with a 50% employer match up to the IRS limit; free meals on-site (breakfast, lunch, dinner); generous parental leave (18–24 weeks); on-site fitness centers; a $70/month phone bill reimbursement; education and conference budgets; mental health support; and on-site childcare at some locations. DeepMind’s Glassdoor Compensation & Benefits score is 4.5/5.

Is Google DeepMind compensation higher than Anthropic?+

In raw total comp, they are broadly comparable — both sit in the $300K–$500K range for engineers. [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026) edges higher for senior research scientists ($350K–$550K), while Anthropic’s Glassdoor Comp & Benefits score (4.8/5) is slightly above DeepMind’s (4.5/5). The key differentiator is equity: DeepMind offers immediately liquid Google stock, while Anthropic offers private RSUs with no current secondary market. If you need near-term liquidity, DeepMind has a clear edge.

Can you negotiate a Google DeepMind salary offer?+

Yes, Google DeepMind offers are negotiable — particularly the RSU equity grant and signing bonus. The most effective lever is competing offers from other frontier AI labs (OpenAI, Anthropic, Meta FAIR) or senior roles at top-tier tech companies. Getting leveled correctly (e.g., L5 vs. L6) has a much larger impact on total comp than negotiating within a level, as RSU grants scale dramatically with level. Signing bonuses are commonly offered to offset unvested equity at a candidate’s current employer.

Is Google DeepMind hiring in 2026?+

Yes — Google DeepMind is actively hiring in 2026, with open roles spanning research scientist, research engineer, software engineer, and operations positions. The lab is expanding work on Gemini, AlphaFold successors, and new generative modelling research programs. Roles are available across London (HQ), Mountain View, New York, Paris, and other global offices. Browse current openings on the [JobsByCulture DeepMind jobs page](https://jobsbyculture.com/jobs?company=deepmind).

### See all open Google DeepMind roles

Filter by role, seniority, and culture values. Every listing includes compensation context.

[See DeepMind Jobs →](https://jobsbyculture.com/jobs?company=deepmind) [Highest-Paying AI Companies →](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

---

## Document: Google DeepMind Remote Work Policy 2026: 3-Day Hybrid Mandate Explained

# Google DeepMind Remote Work Policy 2026: 3-Day Hybrid Mandate Explained

> Is Google DeepMind remote-friendly in 2026? Google

Source: https://jobsbyculture.com/blog/deepmind-remote-work-policy-2026
Markdown: https://jobsbyculture.com/blog/deepmind-remote-work-policy-2026.md
Last updated: 2026-07-14

---
If you’re considering [Google DeepMind](https://jobsbyculture.com/companies/deepmind) and remote work flexibility is a priority, the picture in 2026 is clearer than it used to be — and more restrictive. As an Alphabet subsidiary, DeepMind employees are subject to Google’s 3-day hybrid mandate. That means Tuesday through Thursday in the office, attendance tracked by badge, and consequences for non-compliance.

The short answer: Google DeepMind is **hybrid-required, not remote-friendly**. The 3-day-a-week office mandate applies across all DeepMind locations globally. There are some informal variations by team and location — particularly between London and Mountain View — but these are not policy-sanctioned exceptions. We’ll break it all down below.

## Google DeepMind Remote Policy at a Glance

Metric

Detail

Official policy

Hybrid — 3 days per week in office

Typical in-office days

Tuesday, Wednesday, Thursday

Badge tracking

Yes — attendance monitored digitally

Work from Anywhere allowance

4 weeks per year

Fully remote roles

Not offered company-wide

Primary HQ

London, UK (6 Pancras Square)

Other major offices

Mountain View, Zurich, Berlin, Paris, New York, Toronto

Glassdoor rating

4.2 / 5.0 (253 reviews)

Work-life balance

4.0 / 5.0

3 days

Per week in office — Google’s hybrid mandate, applied across all DeepMind locations

## Google’s Hybrid Mandate & What It Means for DeepMind

In 2025, Google formalized its return-to-office policy across all Alphabet subsidiaries, including DeepMind. The core requirements are:

-   **3 days per week in office.** The expectation is Tuesday, Wednesday, and Thursday — a set-day hybrid strategy designed to maximize team overlap and office utilization. Employees within 50 miles of a DeepMind office must comply.
-   **Badge monitoring.** Attendance is tracked digitally via building access badges. Consistent non-compliance is reported to managers and HR. In 2025, Google warned specific divisions that remote employees who refused to comply could have their roles eliminated.
-   **Voluntary exit or relocation for remote workers.** Employees who were fully remote and lived within commute distance of a Google/DeepMind office were offered a one-time relocation budget or a voluntary severance package if they declined to transition to hybrid.
-   **4 “Work from Anywhere” weeks annually.** Separate from the hybrid requirement, all Google employees get 4 weeks per year to work remotely from any location. Working even a single day counts as a full week under the tightened 2025 WFA policy, so these 4 weeks are used carefully.

DeepMind’s research lab culture historically gave teams more autonomy than typical Google product teams. But post the 2023 merger with Google Brain, the organizational structure — and by extension the HR policies — consolidated under Alphabet’s broader framework. The 3-day hybrid mandate is not waived for DeepMind researchers.

## London vs Mountain View: Is There a Difference?

One of the most common questions from candidates is whether the London HQ operates more flexibly than Mountain View. The honest answer: _informally, yes; officially, no_.

### London (King’s Cross HQ)

London is DeepMind’s founding home and still houses most of its senior research leadership. The lab culture in London — built over more than a decade before the Google acquisition — has historically been more autonomous, with individual team leads having discretion over schedules. In practice, some London research teams operate on a more flexible 2–3 day presence, with the understanding that project deadlines and collaboration drive when people come in. This is informal and team-dependent, not an official policy exception.

### Mountain View (Google Campus)

DeepMind employees based at Google’s Mountain View campus operate squarely within Google HQ’s norms. The 3-day mandate is applied more strictly here, as physical proximity to Google’s core operations means greater visibility and less informal flexibility. Mountain View-based DeepMind staff describe a more corporate environment with less research-lab autonomy.

### Zurich, Berlin & Other European Offices

European offices generally have more latitude, particularly due to local labor laws (especially in the EEA, where badge-monitoring for compliance is constrained by GDPR and works council agreements in Germany). Zurich and Berlin employees report a more relaxed enforcement of the hybrid requirement, though the official policy remains 3 days.

## Google DeepMind Office Locations

DeepMind has expanded significantly since its 2014 acquisition by Google, and now maintains research presence across three continents:

London, UK

Headquarters · 6 Pancras Square, King’s Cross · Research HQ · Demis Hassabis & senior leadership

Mountain View, CA

Google Campus · Large DeepMind engineering presence · Gemini teams based here

Zurich, Switzerland

European research hub · ML & systems research

Berlin, Germany

Research & robotics

Paris, France

European AI research

New York, NY

Applied research & business roles

Toronto, Canada

Research presence · University partnerships

Montreal, Canada

Research hub · Deep learning roots

Each of these locations applies the 3-day hybrid policy, with the degree of informal flexibility varying by office culture and local labor norms. None of these positions are available as fully remote roles.

## What Google DeepMind Employees Say About the Hybrid Policy

Glassdoor reviews from 2024–2025 give a nuanced picture. The WLB score of 4.0 is notably high for an AI lab at this scale, but reviews about flexibility are mixed:

Pro — Glassdoor review (2025) “Good working hours, flexible location — team-dependent but generally reasonable.”

Con — Glassdoor review (2024) “Fast paced, long hours — difficult work-life balance for some, less so for others. The hybrid mandate can feel at odds with deep research work.”

Con — Glassdoor review (2025) “Google bureaucracy has crept in post-merger. The 3-day office requirement feels like it’s more about optics than productivity — especially for researchers who do their best work in focused solo sessions.”

Pro — Glassdoor review (2025) “World-class colleagues. The in-office days are genuinely valuable for collaboration — you bump into people working on AGI problems. Not all RTO is bad.”

The tension here is real. DeepMind’s research culture values [deep work](https://jobsbyculture.com/values/deep-work) and focused solo thinking — which often conflicts with mandated in-office days optimized for social presence rather than output. Senior researchers with more organizational leverage tend to navigate this more effectively than junior staff.

## How DeepMind Compares to OpenAI, Anthropic, Meta FAIR & Microsoft Research

Every major AI research lab has tightened its remote work stance since 2024. Here’s where DeepMind sits in context:

Lab

Remote Policy

Glassdoor

WLB

Flexibility

[Google DeepMind](https://jobsbyculture.com/companies/deepmind)

3 days/week hybrid (Google mandate)

4.2

4.0

Medium (team-dependent in London)

[OpenAI](https://jobsbyculture.com/companies/openai)

3 days/week in SF HQ

3.9

3.5

Low — SF-centric, limited exceptions

[Anthropic](https://jobsbyculture.com/companies/anthropic)

Office-first, 7% remote exceptions

4.4

3.7

Low — remote only for safety & security roles

Meta FAIR

Hybrid — office presence required

4.2

4.1

Medium — Meta’s hybrid policy applies

Microsoft Research

Hybrid — flexible by team

4.3

4.2

Medium-High — MSR teams have more discretion

DeepMind lands in the middle of this group. The 4.0 WLB score is the highest among the pure-AI labs listed, suggesting that despite the hybrid mandate, researchers generally feel their workload is manageable. Microsoft Research edges ahead on flexibility due to its distributed team structure, while OpenAI is the most restrictive in practice.

For research roles specifically, DeepMind’s London location is an advantage — the European research culture, GDPR constraints on surveillance, and London’s deep ML talent pool combine to create a somewhat more researcher-friendly environment than a Bay Area campus under constant Google HQ pressure. See our full [Anthropic remote work policy comparison](https://jobsbyculture.com/blog/anthropic-remote-work-policy-2026) for more detail on how AI labs stack up.

## Research Labs vs Product Teams: Does Your Role Matter?

Within DeepMind, how strictly the 3-day policy applies in practice varies significantly by team type:

-   **Fundamental research teams** (AlphaFold, scientific applications, alignment) tend to have the most informal flexibility. Output is measured by research milestones and publications, not seat time. Senior researchers have historically negotiated schedules around travel, conferences, and collaboration needs.
-   **Applied and product-facing teams** (Gemini integration, Cloud AI, Vertex AI) operate more like standard Google product teams and face stricter enforcement of the hybrid policy.
-   **Engineering and infrastructure roles** fall somewhere in between — expected in office on core collaboration days but with some flexibility on remote days.
-   **Operations, legal, HR, and business roles** follow Google’s standard hybrid policy most rigorously, with limited team-level discretion.

The practical implication: if remote flexibility is important to you, apply for fundamental research roles in London or Zurich rather than product-adjacent engineering roles in Mountain View.

### The Bottom Line

Google DeepMind is one of the world’s premier AI research environments — but it is not remote-friendly. The 3-day hybrid mandate from Google’s parent company applies across all DeepMind offices, with badge tracking and real consequences for non-compliance. The best flexibility exists informally for senior researchers in London. If you need remote work, DeepMind is not the right fit. If you can commit to hybrid — and want to work on AlphaFold, Gemini, and frontier AI research with genuinely elite colleagues — the 4.0 WLB score and Google-level compensation make this one of the best hybrid jobs in AI. See [open DeepMind roles](https://jobsbyculture.com/jobs?company=deepmind) or read our [DeepMind compensation guide](https://jobsbyculture.com/blog/deepmind-compensation-2026) for the full picture.

## Open Positions at Google DeepMind

Google DeepMind currently has open positions across research science, engineering, applied ML, product, and operations. The majority are based in London, Mountain View, and Zurich, with all roles subject to the 3-day hybrid requirement.

For the full list of live openings with location filters, visit the [Google DeepMind jobs page](https://jobsbyculture.com/jobs?company=deepmind) or explore the [DeepMind culture profile](https://jobsbyculture.com/companies/deepmind) for Glassdoor ratings, employee reviews, and culture values.

## Frequently Asked Questions

Is Google DeepMind remote friendly?+

Google DeepMind is not remote-friendly in 2026. As an Alphabet subsidiary, DeepMind employees are subject to Google’s 3-day office mandate — requiring staff to be in the office Tuesday, Wednesday, and Thursday each week. Employees living within 50 miles of a DeepMind office must comply or risk losing their jobs. Select senior researchers may negotiate individual arrangements, but there is no company-wide remote or hybrid-optional policy. If you want a genuinely remote-first AI research environment, DeepMind is not the right fit.

What is Google DeepMind’s remote work policy in 2026?+

Google DeepMind follows Google’s parent-company hybrid mandate in 2026: employees must be in the office at least 3 days per week, typically Tuesday through Thursday. Attendance is tracked via badge monitoring. Google also offers 4 “Work from Anywhere” weeks annually where employees can work remotely from any location. Employees who live within 50 miles of a DeepMind office and refuse to comply are subject to termination or offered a voluntary exit package.

Where are Google DeepMind’s offices located?+

Google DeepMind’s headquarters is in London at 6 Pancras Square, King’s Cross. The lab has significant research offices in Mountain View (Google’s main campus), Zurich, Berlin, Paris, New York, San Francisco, Seattle, Toronto, Montreal, Edmonton, and Cambridge (USA). London is the primary research hub where most DeepMind leadership and research teams are based.

Is there a difference in remote work flexibility between London and Mountain View for DeepMind?+

In practice, some flexibility exists between locations. London-based DeepMind employees report that the 3-day hybrid requirement is applied more strictly in Mountain View (where Google HQ norms dominate) than in London, where the research lab culture historically afforded more autonomy. However, the official policy is the same across all locations: 3 days per week in office. Individual team leads in London have some discretion, but this is informal rather than policy-sanctioned.

What do Google DeepMind employees say about the hybrid policy?+

Glassdoor reviews from 2024–2025 show mixed sentiment. Pros cited include “flexible location” (team-dependent) and “good working hours.” Cons include “bureaucracy from Google parent” and mentions of the hybrid mandate reducing the autonomy that made DeepMind attractive. One review notes: “Fast paced, long hours — difficult work-life balance for some, less so for others.” The 4.0/5 work-life balance score reflects this nuance: better than most AI labs but less flexible than the pre-merger DeepMind culture.

How does DeepMind’s remote policy compare to OpenAI, Anthropic, and Meta FAIR?+

All four major AI research labs have moved toward in-office or hybrid requirements in 2026. OpenAI requires 3 days in office in San Francisco. Anthropic is office-first in SF with select remote exceptions (7% of roles). Meta FAIR requires presence at Meta offices (Menlo Park or NYC). DeepMind’s Google-mandated 3-day hybrid applies across all its global offices. Of the four, Anthropic has the most remote-friendly exceptions (primarily for safety researchers), while DeepMind’s flexibility varies most by team and location. See our [Anthropic remote work policy breakdown](https://jobsbyculture.com/blog/anthropic-remote-work-policy-2026) for a side-by-side comparison.

### Browse Google DeepMind’s open roles

Filter by location, role type, and department. All roles are subject to the 3-day hybrid requirement.

[See DeepMind Jobs →](https://jobsbyculture.com/jobs?company=deepmind) [DeepMind Compensation Guide →](https://jobsbyculture.com/blog/deepmind-compensation-2026)

---

## Document: Dropbox Salary 2026: $179K–$692K TC, RSU Vesting & How It Compares

# Dropbox Salary 2026: $179K–$692K TC, RSU Vesting & How It Compares

> Dropbox compensation in 2026: $179K-$692K total comp for engineers across IC1-IC5, with quarterly RSU vesting as a public company. Real salary data, benefits, Virtual First perks, and how it compares to Google, GitLab, and Notion.

Source: https://jobsbyculture.com/blog/dropbox-compensation-2026
Markdown: https://jobsbyculture.com/blog/dropbox-compensation-2026.md
Last updated: 2026-07-14

---
[Dropbox](https://jobsbyculture.com/companies/dropbox) occupies an unusual position in the 2026 tech compensation landscape. It's a mature, profitable public company (NYSE: DBX) with $2.5 billion in annual revenue and a 40% operating margin — yet it still pays like a growth-stage competitor. The company's "Virtual First" remote policy, adopted permanently in 2020, expanded its hiring pool globally and forced competitive compensation to attract top engineers who could work anywhere.

The result is a compensation package that combines the stability of public-company RSUs (quarterly vesting, immediately tradeable) with total comp numbers that rival many pre-IPO startups. But Dropbox also carries baggage: multiple rounds of layoffs, frequent re-orgs, and a 3.9 Glassdoor rating that reflects organizational growing pains. The question for any prospective engineer is whether the money is worth the turbulence.

We analyzed verified compensation data across hundreds of engineer reports to build the most complete picture of what Dropbox actually pays in 2026.

## Total Compensation by Level

Dropbox uses an IC1–IC5 leveling system for individual contributors. Here's what each level actually pays, based on verified employee-reported data:

Level

Title

Base Salary

RSUs/yr

Bonus

Total Comp

IC1

Software Engineer

~$127K

~$33K

~$14K

**~$179K**

IC2

Software Engineer

~$155K

~$72K

~$24K

**~$258K**

IC3

Software Engineer

~$195K

~$130K

~$37K

**~$372K**

IC4

Senior Software Engineer

~$229K

~$163K

~$44K

**~$436K**

IC5

Staff Software Engineer

~$256K

~$301K

~$66K

**~$623K**

The jump from IC4 to IC5 is dramatic — a ~43% increase in total comp, driven almost entirely by the RSU component nearly doubling. This reflects a common pattern in public tech companies: at senior levels, equity becomes the dominant piece of the package. For engineers debating whether to push for Staff, the financial case is compelling.

$440K

Median Engineer TC

4.2/5

Comp & Benefits Rating

$2.5B

Annual Revenue

## RSU Vesting: The Public Company Advantage

One of Dropbox's most underrated compensation advantages is its RSU structure. As a public company, Dropbox RSUs convert to tradeable shares immediately upon vesting — no IPO needed, no tender offer required, no lockup period. This is a meaningful difference from private companies like [Anthropic](https://jobsbyculture.com/companies/anthropic), [OpenAI](https://jobsbyculture.com/companies/openai), or [Cursor](https://jobsbyculture.com/companies/cursor), where equity is essentially illiquid until a liquidity event that may or may not happen.

#### Dropbox RSU Vesting Schedule

4-year vest, quarterly at 6.25% per quarter. No cliff — your first shares vest after the first quarter. At IC4 with $163K/year in RSUs, that's roughly $40,750 hitting your brokerage account every 3 months.

The quarterly vesting cadence is also favorable. Many companies (including Google) vest monthly, while some startups use annual cliffs. Dropbox's quarterly schedule means you're not waiting a full year before seeing any equity value, but the increments are large enough to feel meaningful.

There's a catch, though. Dropbox's stock (DBX) has been relatively flat, trading in a narrow range. Revenue growth is near zero (Q1 2026 was up just 0.8% year-over-year), which limits stock price appreciation. Your RSUs won't be worthless — the company is highly profitable with $1.3 billion in cash — but don't expect the 2-3x upside that a well-timed pre-IPO grant at a hypergrowth startup can deliver. Dropbox equity is more like a stable, liquid cash equivalent than a lottery ticket.

## How Dropbox Compares: The Remote-First Premium

Dropbox competes for talent with three categories of companies: big tech (Google, Meta), remote-first companies ([GitLab](https://jobsbyculture.com/companies/gitlab), [Notion](https://jobsbyculture.com/companies/notion)), and AI labs ([Anthropic](https://jobsbyculture.com/companies/anthropic), [OpenAI](https://jobsbyculture.com/companies/openai)). Here's how it stacks up at the senior IC4/L5 level:

Company

IC4/Senior TC

Remote?

WLB Score

Glassdoor

[Dropbox](https://jobsbyculture.com/companies/dropbox)

~$436K

Yes (Virtual First)

4.2

3.9

[GitLab](https://jobsbyculture.com/companies/gitlab)

~$380K

Yes (all-remote)

4.3

3.6

[Notion](https://jobsbyculture.com/companies/notion)

~$420K

Hybrid (SF)

4.3

4.2

[Spotify](https://jobsbyculture.com/companies/spotify)

~$400K

Yes (Work From Anywhere)

4.3

4.1

[Anthropic](https://jobsbyculture.com/companies/anthropic)

~$450K

Hybrid (SF)

4.0

4.0

Dropbox pays a premium over most remote-first peers. At IC4, Dropbox's ~$436K outpaces [GitLab](https://jobsbyculture.com/companies/gitlab) (~$380K) and [Spotify](https://jobsbyculture.com/companies/spotify) (~$400K) by meaningful margins. The trade-off is Dropbox's lower Glassdoor rating (3.9 vs. Spotify's 4.1 or Notion's 4.2), which reflects the organizational instability that multiple layoff rounds and re-orgs have created.

Compared to big tech, Dropbox holds up surprisingly well at the senior level. Google L5 (equivalent to Dropbox IC4) typically pays $400K-$500K TC, making the two broadly comparable. The difference is that Dropbox lets you live wherever you want while Google increasingly requires office presence. For engineers who value location independence, Dropbox offers rare combination: big-tech compensation without the big-tech commute.

## Virtual First: The Remote Comp Strategy

Dropbox's "Virtual First" policy, adopted in October 2020, makes remote work the default for all employees. Physical offices were converted to "Dropbox Studios" — collaborative spaces available for team gatherings and in-person work, but not required for daily attendance. This was one of the earliest and most committed remote-first pivots by a major tech company, and it has shaped Dropbox's entire compensation philosophy.

Employee Pro "I really don't understand how a company can pay so well and still provide such great work-life balance. Virtual First is a genuine benefit, not lip service."

Dropbox uses location-based pay bands, meaning compensation adjusts based on where you live. However, employee reviews suggest that Dropbox's remote bands are generally competitive even for non-SF locations — the company has had five years to calibrate its remote compensation framework, which gives it an advantage over companies that adopted remote work more recently and are still figuring out geographic adjustments.

One caveat that multiple reviewers flag: while Virtual First is technically timezone-agnostic, the culture has a Pacific Time bias. If you're based on the East Coast or in Europe, expect meetings to skew toward PST hours. Several reviewers describe working through lunch and past 6 PM local time to accommodate West Coast schedules. This is less about policy and more about where the majority of leadership and senior engineers are located.

Employee Con "The company touts Virtual First where employees work from everywhere, but in reality it is PST-first. If you don't live on the West Coast, expect to work past 6 PM local time."

## Benefits Beyond Base Comp

Dropbox's benefits package extends well beyond salary and RSUs. Key highlights based on employee reports and the company's careers page:

-   **Perks Allowance:** A quarterly stipend for home office setup, wellness, learning, and other personal perks. This replaced the traditional in-office perks (free meals, gym, etc.) when Virtual First launched.
-   **Healthcare:** Comprehensive medical, dental, and vision coverage. Multiple plan options with Dropbox covering a significant portion of premiums.
-   **Parental Leave:** Generous parental leave policy — one of the better packages among public tech companies.
-   **Learning & Development:** Annual budget for conferences, courses, and professional development. The [learning & growth culture](https://jobsbyculture.com/values/learning) is one of Dropbox's stronger value signals at 4.2/5 in employee reviews.
-   **Dropbox Studios:** Access to collaborative workspaces in major cities for team offsites and in-person work. Not mandatory, but available for teams that want face time.
-   **401(k) Match:** Employer matching on retirement contributions.

## The Layoff Tax: What It Costs You

No honest compensation analysis of Dropbox can ignore the elephant in the room: layoffs. The company has been through multiple rounds of workforce reductions — approximately 500 people (16%) in April 2023, and another round in late 2024 with $47.2 million in restructuring charges. Employee reviews consistently cite "re-orgs every 6 months" as the single biggest cultural problem.

Employee Con "The constant reorg cycles wear people down. Teams are expected to deliver big results with unclear direction and shifting definitions of success."

This matters for compensation in concrete ways. Unvested RSUs are forfeited in a layoff — if you're laid off two years into a four-year grant, you lose half your equity. The quarterly vesting schedule mitigates this somewhat (you're never more than three months from your next vest), but the accumulated loss across a multi-year grant can be substantial. At IC5, losing two years of unvested RSUs means forfeiting roughly $600K in equity.

There's also an indirect cost: organizational instability erodes the promotion pipeline. When teams are constantly being restructured, the relationships and track record you build toward promotion can evaporate overnight. With Career Opportunities rated just 3.5/5 on Glassdoor, the concern is real. If you're joining Dropbox with a plan to reach IC5 within three years, factor in the possibility that the org chart may look completely different by then.

## Negotiation Leverage

Dropbox is generally open to negotiation, particularly at IC3+ levels where competing offers create leverage. A few data points from verified negotiation outcomes:

-   **Competing offers matter most.** The strongest negotiation lever is a competing offer from a company Dropbox considers a peer — Google, Meta, Stripe, or a well-funded startup. Show a written offer at a comparable or higher TC and Dropbox will typically try to match or exceed it.
-   **RSU grants are more negotiable than base.** Dropbox has tighter bands on base salary but more flexibility on initial RSU grants. A strong negotiator can push the grant up 15-25% from the initial offer.
-   **Signing bonuses fill gaps.** If Dropbox can't match a competing offer on TC alone, they'll often bridge the difference with a first-year signing bonus. These can range from $25K to $100K+ depending on level and competing offer.
-   **Level is the biggest lever.** The jump from IC3 to IC4 is worth ~$64K/year in TC; IC4 to IC5 is worth ~$187K/year. If you have a credible case for a higher level, that's worth more than any negotiation on the margins of a single band.

## Who Should Consider Dropbox

Dropbox compensation is most attractive for engineers in these situations:

-   **Remote workers who want big-tech pay.** If you live outside of SF/NYC and want $400K+ TC without relocating, Dropbox is one of the best options available. The Virtual First model is mature and well-established.
-   **Engineers who value liquidity over moonshots.** Public RSUs that vest quarterly and are immediately tradeable have a very different risk profile than pre-IPO equity. If you've already done the startup lottery and want predictable, liquid compensation, Dropbox delivers.
-   **People who prioritize [work-life balance](https://jobsbyculture.com/values/wlb).** Despite the re-orgs, Dropbox's 4.2/5 WLB score is strong. If you can tolerate organizational uncertainty but want to close your laptop at a reasonable hour, the trade-off may work for you.

Dropbox is _less_ attractive if you want rapid career growth (the 3.5/5 Career Opportunities score is a warning), if you want equity with 5-10x upside potential (DBX is priced for stability, not moonshot growth), or if organizational instability would significantly affect your mental health and productivity.

## Frequently Asked Questions

What is the average software engineer salary at Dropbox in 2026?+

The median total compensation for software engineers at Dropbox is approximately $440K per year. This includes base salary, RSUs, and annual bonus. IC3 (mid-level) engineers typically earn around $372K TC, while IC4 (senior) engineers average $436K TC. See our [Dropbox culture profile](https://jobsbyculture.com/companies/dropbox) for the full breakdown.

How does Dropbox's RSU vesting schedule work?+

Dropbox RSUs vest on a 4-year schedule with quarterly vesting at 6.25% per quarter. Since Dropbox is a public company (NYSE: DBX), RSUs convert to tradeable shares immediately upon vesting — no IPO needed. There is no cliff; your first shares vest after the first full quarter.

How much do Staff Engineers (IC5) make at Dropbox?+

Staff Software Engineers (IC5) at Dropbox earn an average total compensation of approximately $623K, broken down as $256K base salary, $301K in yearly RSU vesting, and $66K annual bonus. Top-end IC5 packages can exceed $692K depending on performance and negotiation.

Does Dropbox adjust compensation for remote workers?+

Yes, Dropbox uses location-based pay bands under their Virtual First model. However, Dropbox's remote compensation is generally considered competitive even for non-SF locations. The company has been Virtual First since 2020, so the compensation framework is mature compared to companies that adopted remote work more recently.

How does Dropbox compensation compare to Google?+

At the IC4/L5 level, Dropbox and Google are broadly comparable — both in the $400K-$500K range for total comp. At IC5/L6 (Staff), Dropbox's ~$623K average is competitive but slightly below Google's ~$700K+ median. The key difference: Dropbox offers genuinely remote-first work with 4.2/5 work-life balance, while Google increasingly requires in-office presence.

Has Dropbox had layoffs recently?+

Dropbox has had multiple rounds of layoffs. Approximately 500 people (16%) were let go in April 2023, and another round occurred in late 2024 with $47.2 million in restructuring charges. Employee reviews consistently cite frequent re-orgs as the biggest cultural concern. See our [Working at Dropbox in 2026](https://jobsbyculture.com/blog/working-at-dropbox-2026) deep-dive for the full picture.

### Explore Dropbox's open roles

See Dropbox's current openings alongside jobs from companies like GitLab, Notion, Spotify, and more — all with culture context and compensation data.

[View Dropbox Profile →](https://jobsbyculture.com/companies/dropbox) [Browse Dropbox Jobs →](https://jobsbyculture.com/jobs?company=dropbox)

---

## Document: Duolingo Compensation in 2026: Salary, RSUs, Benefits & What Engineers Actually Earn

# Duolingo Compensation in 2026: Salary, RSUs, Benefits & What Engineers Actually Earn

> Duolingo engineer compensation in 2026: verified total comp by level ($194K–$447K), DUOL RSU vesting, benefits breakdown, and how it compares to FAANG and other edtech companies.

Source: https://jobsbyculture.com/blog/duolingo-compensation-2026
Markdown: https://jobsbyculture.com/blog/duolingo-compensation-2026.md
Last updated: 2026-07-14

---
Duolingo is one of those rare companies that managed to build a billion-dollar business around a genuinely good idea: make language learning free, fun, and accessible to everyone. With 800 million registered users, $1.04 billion in 2025 revenue (up 38.7% year-over-year), and a stock price that has weathered the edtech volatility better than most, Duolingo occupies an unusual spot in the tech landscape. It is a public company (NASDAQ: DUOL) with startup energy, a social mission with real profits, and an engineering culture that runs on A/B tests and shipping velocity.

But what does all of that actually translate to in your bank account? Duolingo's compensation philosophy is straightforward: pay competitively but not at the top of market, and let the mission, product impact, and culture close the gap. Whether that trade-off works for you depends on what you value. This breakdown covers the hard numbers so you can decide for yourself.

## Duolingo at a Glance

Company

Duolingo (NASDAQ: DUOL)

Founded

2011

Employees

~900

2025 Revenue

$1.04B (+38.7% YoY)

Q1 2026 Revenue

$292M

Stock Price

~$114 (DUOL)

Market Cap

~$5.3B

Glassdoor Rating

4.2 / 5.0

Work-Life Balance

3.8 / 5.0

Recommend

76%

Median Eng TC

~$260K

HQ

Pittsburgh, PA

Other Offices

NYC, Seattle, Beijing

## Engineer Compensation by Level

Duolingo uses a fairly standard leveling system for software engineers. Based on verified compensation data from employee reports, here is what each level looks like in 2026.

Level

Total Comp

Notes

Software Engineer I

~$194K

New grad / early career. Base-heavy, smaller RSU grants.

Software Engineer II

$230K – $260K

2–4 years experience. RSU share increases meaningfully.

Senior Software Engineer

$280K – $350K

The bulk of the eng team. Significant equity component.

Staff Software Engineer

$350K – $447K

Technical leadership. RSUs can be 40%+ of total comp.

$260K

Median Total Comp

$447K

Top-of-Band Staff TC

~80%

of FAANG Equivalent

The numbers tell a clear story. Duolingo pays well — a $260K median is nothing to dismiss — but it is not trying to win compensation wars against Google, Meta, or [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026). At the Senior level, a Google L5 might earn $350K–$450K+ versus Duolingo's $280K–$350K. The gap is real, roughly 20% at most levels, and Duolingo is transparent about it internally. The pitch is that the mission, product reach, and quality of life make up the difference.

## DUOL Stock & RSU Deep-Dive

Duolingo's equity program is a significant part of total compensation, especially at Senior and Staff levels. Understanding how it works is essential to evaluating any offer.

### Vesting schedule

RSUs vest over four years with a standard structure: 25% vests after a one-year cliff, then the remaining 75% vests monthly over the following three years. This is a common public-company schedule that balances retention with regular liquidity. Unlike pre-IPO startups where equity is a hope, DUOL RSUs are liquid the moment they vest — you can sell on NASDAQ immediately. For a primer on how RSUs compare to ISOs and other equity types, see our [RSU vs. stock options guide](https://jobsbyculture.com/blog/rsu-vs-stock-options-explained-2026).

### DUOL stock performance

Duolingo went public in July 2021 at $102 per share and immediately surged to $200+. The stock then weathered the 2022 tech correction, dropping below $80. As of May 2026, DUOL trades around $114, putting it back above the IPO price but well below the post-IPO highs. The market cap sits at roughly $5.3B.

For engineers evaluating an offer today, the key question is whether DUOL has room to grow. The bull case is compelling: $1.04B in revenue growing 38.7% YoY, DAUs up 21% in Q1 2026, and a subscription model (Duolingo Max) that is converting free users to paying users at accelerating rates. The company is also expanding beyond languages into math and music, growing its total addressable market. The bear case is that the stock is already priced for significant growth, and edtech multiples could compress if the broader market turns cautious on consumer subscription businesses.

### Other equity vehicles

Beyond RSUs, Duolingo offers an Employee Stock Purchase Plan (ESPP) that lets employees buy DUOL shares at a discount through payroll deductions. Some early employees may also hold Incentive Stock Options (ISOs) from the pre-IPO days, though new hires receive RSUs exclusively. The ESPP is a meaningful but often overlooked benefit — at a 15% discount, it is effectively a guaranteed return on invested salary.

## Benefits & Perks

Duolingo's benefits package is genuinely strong, and a few items stand out from the typical tech company offering.

### Time Off & Leave

Above Average

20 days PTO plus a company-wide 2-week winter break (typically late December through early January). That effectively gives you 30 paid days off per year, which is competitive with most tech companies. Duolingo also offers 16 weeks of parental leave for all parents — birth, adoptive, and foster — regardless of gender. That is better than the industry average of 12–14 weeks and signals that the company takes family support seriously, not just performatively.

### Food & Office Life

Notable Perk

Daily breakfast and lunch prepared by an in-house chef. This is not the grab-a-granola-bar-from-a-pantry setup at most startups — Duolingo's Pittsburgh HQ is known for genuinely good communal meals. The company also hosts an annual international retreat, flying the entire company to a different country each year. For a language-learning company, this is both on-brand and a real morale booster.

### Health & Family

Comprehensive

Full medical, dental, and vision coverage with mental health benefits. Carrot family planning benefits cover fertility treatments, adoption, surrogacy, and egg freezing. This is a benefit that not all tech companies offer, and it matters significantly to employees who need it.

### The hybrid reality

Duolingo requires employees in-office three days per week (Tuesday, Wednesday, Thursday), with Monday and Friday as work-from-home days. This is a strict hybrid model — not the "come in when you feel like it" flexibility that some companies offer. If you are looking for a fully remote role, Duolingo is not it. If you are comfortable with a structured hybrid schedule and like the social aspects of office life (especially the communal lunches), it works well.

## Glassdoor Ratings & Employee Sentiment

Overall Rating 4.2

Work-Life Balance 3.8

Recommend to a Friend 76%

A 4.2 Glassdoor rating puts Duolingo solidly above average for a company of its size. For context, [Stripe](https://jobsbyculture.com/companies/stripe) sits at 4.2, [Datadog](https://jobsbyculture.com/companies/datadog) at 4.3, and [Notion](https://jobsbyculture.com/companies/notion) at 4.5. The 3.8 WLB score is the number to watch — it reflects a culture where [shipping fast](https://jobsbyculture.com/values/ship-fast) is genuinely valued, and fast shipping sometimes means long weeks.

### What employees love

Employee Pro "800M+ users means your work has genuine social impact — you can see people learning languages because of features you built"

Employee Pro "Data-driven A/B testing culture means decisions are based on evidence, not HiPPO (highest-paid person's opinion)"

Employee Pro "The daily communal lunches and international retreat create real camaraderie — coworkers become friends here"

### What could be better

Employee Con "Comp is roughly 80% of FAANG — the mission is supposed to make up the gap, but rent doesn't care about missions"

Employee Con "Strict 3-day in-office requirement with no flexibility — if you want remote, look elsewhere"

Employee Con "Promotion cycles are only once per year, which can feel slow when you are ready to level up"

## How Duolingo Compares to FAANG & Edtech

The most honest way to evaluate Duolingo's compensation is to compare it directly. Here is how a Senior Software Engineer offer stacks up across companies in our [directory](https://jobsbyculture.com/companies).

Company

Senior Eng TC

Key Difference

Google (L5)

$350K – $450K+

Higher pay, slower shipping pace

Meta (E5)

$370K – $480K+

Top-of-market comp, intense perf culture

[Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026)

$350K – $490K

AI safety mission, higher base

[Databricks](https://jobsbyculture.com/blog/databricks-compensation-2026)

$320K – $420K

Pre-IPO equity upside

Duolingo

$280K – $350K

Mission + product reach + strong benefits

The gap is real but contextual. Duolingo is in Pittsburgh, where cost of living is 40–50% lower than San Francisco. A $300K salary in Pittsburgh buys significantly more than $400K in the Bay Area. If you factor in the 2-week winter break, daily meals, and the ESPP discount, the effective compensation gap narrows. It does not close entirely — but it gets closer than the headline numbers suggest.

Compared to other edtech companies, Duolingo pays at the top of the sector. Most edtech startups cannot touch $260K median TC. Duolingo's public-company status, profitable business model, and $1B+ revenue put it in a different league from pre-revenue edtech startups that pay in hope and equity lottery tickets.

## The Trade-Off: Mission vs. Money

Every Duolingo compensation conversation eventually arrives at the same question: is the mission worth the 20% haircut? The answer depends entirely on what motivates you.

If you are optimizing purely for total compensation, Duolingo is not the right choice. Google, Meta, [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026), and a handful of well-funded AI startups will pay more at every level. That is a fact, not a criticism — Duolingo knows it and does not pretend otherwise.

But if you care about [product impact](https://jobsbyculture.com/values/product-impact), few companies can match what Duolingo offers. Your A/B test results affect 800 million users. The gamification features you build determine whether a farmer in Brazil learns enough English to sell his crops internationally, or whether a refugee in Germany picks up enough German to navigate bureaucracy. That is not marketing copy — it is the daily reality of building the world's most popular [education](https://jobsbyculture.com/values/social-impact) app.

The [engineering culture](https://jobsbyculture.com/values/eng-driven) is also a genuine differentiator. Duolingo's obsession with A/B testing and data-driven decision-making means engineers have real influence over product direction. You are not implementing a PM's wireframes — you are running experiments, interpreting data, and shipping the variant that wins. For engineers who find that process energizing, it is worth more than a salary delta.

The [learning culture](https://jobsbyculture.com/values/learning) compounds over time, too. Duolingo invests in internal tech talks, cross-team rotations, and a genuine culture of knowledge-sharing. Engineers who spend 3–4 years there tend to leave as significantly stronger product thinkers, not just better coders. That career capital has real long-term value even if the short-term comp is lower.

The honest assessment: if you are early in your career and want to build product intuition at massive scale while earning a strong (if not top-of-market) salary, Duolingo is an excellent choice. If you are mid-career and optimizing for peak earnings during your highest-earning years, the 20% gap matters more. Neither answer is wrong — it depends on your priorities and financial situation.

## Frequently Asked Questions About Duolingo Compensation

What is the total compensation for software engineers at Duolingo in 2026?+

Duolingo total compensation ranges from approximately $194K at the Software Engineer I level to $350K–$447K for Staff Engineers. The median total comp across all engineering levels is around $260K. Compensation includes base salary, DUOL RSUs, and performance bonuses. See our [highest-paying companies ranking](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) for broader context.

How do Duolingo RSUs vest?+

Duolingo RSUs vest over four years with a one-year cliff. After the first year, 25% of the grant vests, and the remaining 75% vests monthly over the following three years. Duolingo also offers an ESPP and some early employees may hold ISOs from before the 2021 IPO. For a full explainer, see our [RSU vs. stock options guide](https://jobsbyculture.com/blog/rsu-vs-stock-options-explained-2026).

How does Duolingo pay compare to FAANG companies?+

Duolingo compensation generally sits at roughly 80% of equivalent FAANG roles. A Senior Software Engineer at Duolingo earns $280K–$350K total comp, compared to $350K–$450K+ at Google or Meta. Duolingo's pitch is that the mission-driven culture, product impact at 800M-user scale, and Pittsburgh cost-of-living advantage compensate for the gap.

What benefits does Duolingo offer?+

Duolingo offers 20 days PTO plus a 2-week company-wide winter break (effectively 30 days off), 16 weeks parental leave for all parents, daily breakfast and lunch prepared by an in-house chef, Carrot family planning benefits, an annual international retreat, and comprehensive medical/dental/vision with mental health support.

Is Duolingo remote or in-office?+

Duolingo operates a hybrid model requiring employees in-office three days per week (Tuesday through Thursday), with Monday and Friday as work-from-home days. This is a strict policy with limited exceptions. The company has offices in Pittsburgh (HQ), New York City, Seattle, and Beijing.

What is Duolingo's Glassdoor rating in 2026?+

Duolingo has a 4.2 out of 5.0 overall Glassdoor rating with a 3.8/5 Work-Life Balance score. 76% of employees recommend working there. The company scores well on culture and mission alignment, though reviews note that the [shipping pace](https://jobsbyculture.com/values/ship-fast) can mean long hours during peak periods. See our [full Duolingo culture profile](https://jobsbyculture.com/companies/duolingo) for more details.

### Explore Duolingo's culture & open roles

See Duolingo's culture values, employee reviews, and current job openings alongside 118 other AI & tech companies.

[View Duolingo Profile →](https://jobsbyculture.com/companies/duolingo) [Browse Duolingo Jobs →](https://jobsbyculture.com/jobs?company=duolingo)

---

## Document: ElevenLabs Compensation 2026: Salary, Equity & Total Comp Breakdown

# ElevenLabs Compensation 2026: Salary, Equity & Total Comp Breakdown

> ElevenLabs compensation in 2026: $140k-$290k+ total comp for engineers, $11B valuation, $500M ARR, and what the equity is actually worth at the fastest-growing voice AI company.

Source: https://jobsbyculture.com/blog/elevenlabs-compensation-2026
Markdown: https://jobsbyculture.com/blog/elevenlabs-compensation-2026.md
Last updated: 2026-07-14

---
[ElevenLabs](https://jobsbyculture.com/companies/elevenlabs) has one of the most extraordinary growth stories in AI. Founded in 2022 by Piotr Dabkowski and Mati Staniszewski — two Polish engineers who met at Google — the company went from zero to $500 million in annual recurring revenue in under three years. Its voice AI platform now serves 41% of Fortune 500 companies. In February 2026, it raised $500 million at an $11 billion valuation from Sequoia, BlackRock, and NVIDIA.

That growth trajectory makes ElevenLabs one of the most interesting compensation stories in AI right now. The company is pre-IPO, growing faster than nearly any AI company in our [directory](https://jobsbyculture.com/companies), and hiring aggressively. But it’s also a company where employee reviews consistently describe 60+ hour weeks and intense pressure. The compensation question isn’t just “how much?” — it’s “is the pay worth the pace?”

We analyzed employee-reported salary data, equity structure, benefits, and Glassdoor reviews to build a complete picture of what ElevenLabs actually pays in 2026.

## Compensation at a Glance

$11B

Valuation (Feb 2026)

$500M

ARR (May 2026)

4.2

Glassdoor Rating

## Salary Ranges by Role

ElevenLabs uses a remote-first compensation model with location-based adjustments. US-based roles (New York and San Francisco) command the highest total comp, while European roles are benchmarked to local markets. Here’s what we’ve gathered from employee-reported data and verified salary information:

Role

Base Salary

Total Comp (est.)

Software Engineer (US)

$120K – $180K

$140K – $290K+

Senior Software Engineer (US)

$160K – $220K

$200K – $350K+

ML/Research Engineer (US)

$170K – $240K

$220K – $400K+

Software Engineer (UK)

£85K – £130K

£100K – £290K+

Engineering Manager (US)

$180K – $250K

$250K – $400K+

Developer (US, avg.)

~$140K

~$194K

A few things stand out. First, the base salary ranges are competitive but not exceptional for the AI market. A mid-level engineer at $150k base is below what [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026) or [DeepMind](https://jobsbyculture.com/blog/deepmind-compensation-2026) pay at similar levels. The delta is entirely in equity — and that’s where the ElevenLabs story gets interesting.

## The Equity Equation: $11 Billion and Counting

ElevenLabs’ equity story is the single most important factor in evaluating its compensation. The company has raised $811 million across 8 funding rounds, with the most recent Series D in February 2026 at an $11 billion valuation. To put the growth in context:

-   **January 2024:** $1.1 billion valuation (Series B)
-   **January 2025:** $3.3 billion valuation (Series C)
-   **February 2026:** $11 billion valuation (Series D)

That’s a 10x increase in valuation in just over two years. For employees who received stock options at the Series B valuation, their paper wealth has grown by roughly 10x. Even employees who joined at the Series C would have seen their equity triple.

The revenue fundamentals support the valuation. ElevenLabs crossed $330 million ARR in 2025 and has already exceeded $500 million in early 2026 — a 50%+ increase in under five months. Revenue growth of this magnitude at this scale is rare. For comparison, [OpenAI](https://jobsbyculture.com/companies/openai) took longer to reach $500M ARR despite being a much larger organization.

### What this means for new hires

If you join ElevenLabs today, your equity is priced at or near the $11 billion valuation. The upside question is: where does it go from here? A few scenarios:

-   **IPO at $20–30B (conservative):** Your equity roughly doubles or triples. Meaningful but not life-changing at typical grant sizes for mid-level engineers.
-   **IPO at $50B+ (bull case):** 4–5x on your grant. At this level, equity becomes a significant portion of total comp and could represent several years of additional salary.
-   **Revenue stalls / valuation compresses:** Your equity could be underwater. This is the risk of any pre-IPO company, and ElevenLabs faces real competition from OpenAI, Google, and Amazon in voice AI.

The IPO itself appears likely. CEO Mati Staniszewski has publicly discussed the company “eyeing” a public offering, and the $500M Series D is classic pre-IPO capital. Most analysts expect an IPO in late 2026 or 2027. If it happens, employee equity becomes liquid — that’s when the comp math really changes.

## How ElevenLabs Comp Compares

Here’s how ElevenLabs stacks up against comparable AI companies in our [directory](https://jobsbyculture.com/companies) for a senior software engineer:

Company

Total Comp (Sr. Eng)

Glassdoor

WLB

[Anthropic](https://jobsbyculture.com/companies/anthropic)

$300K – $490K

4.7

4.3

[OpenAI](https://jobsbyculture.com/companies/openai)

$350K – $550K

3.9

3.2

**ElevenLabs**

$200K – $350K

4.2

3.6

[Cursor](https://jobsbyculture.com/companies/cursor)

$200K – $380K

4.5

3.4

[Mistral](https://jobsbyculture.com/companies/mistral)

€80K – €180K

4.0

3.8

On pure cash compensation, ElevenLabs sits below the frontier AI labs but in line with other high-growth AI startups. The gap narrows significantly when you factor in equity upside. A senior engineer at Anthropic earns more in guaranteed comp, but an ElevenLabs engineer who joined at the Series C may ultimately earn more through equity if the IPO goes well.

The trade-off is intensity. ElevenLabs’ 3.6 WLB score reflects the 60+ hour weeks that multiple reviewers describe. Compare that to [Anthropic](https://jobsbyculture.com/companies/anthropic)’s 4.3 WLB — you’re working harder at ElevenLabs for lower guaranteed pay. The bet is that the equity makes it worth it.

## The Glassdoor View on Compensation

Employee reviews paint a nuanced picture of compensation satisfaction at ElevenLabs.

Employee Pro "Competitive total compensation with meaningful equity — salary and stock allocation is fair for a company at this stage"

Employee Pro "Incredible executive leadership and top VC-backing — the equity story is real, not hand-wavy"

Employee Con "Pay may look good upfront, but when compared to the stress, workload, and lack of bonuses/benefits, it’s below market"

Employee Con "Work-life balance is nonexistent — 60+ hours is the norm, with constant pressure to deliver"

The tension is clear: employees who view compensation through the equity lens tend to be positive. Those who evaluate it on an hourly basis — factoring in the 60+ hour weeks — feel underpaid. If you divide a $350k total comp package by 60+ hours per week (instead of 40), the effective hourly rate drops by about 35%. That’s a meaningful difference when comparing to a company like [Notion](https://jobsbyculture.com/companies/notion) that pays similarly but with better work-life balance.

## Benefits and Perks

ElevenLabs is still building out its benefits infrastructure. As a company that grew from ~50 to ~600 employees in under two years, the HR and benefits programs are a work in progress. Here’s what’s currently offered:

-   **Remote flexibility.** Genuine [remote-first](https://jobsbyculture.com/values/remote) culture with employees across 30+ countries. Offices in New York, San Francisco, London, and Warsaw for those who prefer in-person.
-   **Health insurance.** Comprehensive coverage for US employees. International benefits vary by country and are still being standardized.
-   **Flexible PTO.** Unlimited PTO policy, though reviews suggest the culture makes it difficult to actually take significant time off.
-   **Equity participation.** All full-time employees receive stock options as part of their compensation package.

Compared to more mature companies like [Stripe](https://jobsbyculture.com/companies/stripe) or [Databricks](https://jobsbyculture.com/companies/databricks), ElevenLabs’ benefits package is leaner. There’s no mention of learning stipends, generous parental leave beyond statutory requirements, or the kind of perks that larger companies offer. This is a common trade-off at hypergrowth startups: the energy goes into product and revenue, and benefits infrastructure catches up later.

## Who Should Optimize for ElevenLabs Comp

ElevenLabs compensation makes the most sense for a specific type of engineer:

-   **Equity-motivated engineers.** If you believe voice AI is a massive market (it is — the global voice AI market is projected to exceed $50B by 2030) and that ElevenLabs will maintain its lead, the equity upside could be substantial. The company has the revenue, growth rate, and investor backing to IPO within 12–18 months.
-   **Early-to-mid career engineers.** The [learning](https://jobsbyculture.com/values/learning) density at ElevenLabs is extreme. You’ll work on cutting-edge speech synthesis, real-time voice cloning, and conversational AI with some of the best ML researchers in the field. The resume signal from an ElevenLabs stint is strong, especially if you join before the IPO.
-   **Engineers who can sustain high output.** The 60+ hour weeks are not an exaggeration. If you thrive under pressure and can maintain quality at high velocity, ElevenLabs rewards that with rapid career progression and meaningful equity grants.

ElevenLabs comp is _not_ ideal for engineers who prioritize guaranteed cash compensation over equity upside, who need predictable work hours, or who are later in their career and optimizing for stability. If that’s you, consider [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026) (higher cash, better WLB), [Databricks](https://jobsbyculture.com/blog/databricks-compensation-2026) (public company liquidity), or [Stripe](https://jobsbyculture.com/blog/stripe-compensation-2026) (mature comp structure).

## Open Positions at ElevenLabs

ElevenLabs currently has open positions across engineering, ML research, product, and go-to-market roles. The company is hiring globally with a preference for candidates in New York, San Francisco, London, and Warsaw. For the full list of roles and culture details, visit the [ElevenLabs culture profile](https://jobsbyculture.com/companies/elevenlabs).

## Frequently Asked Questions

What is the average salary at ElevenLabs in 2026?+

Software engineer total compensation at ElevenLabs ranges from approximately $140k to $290k+ depending on level, location, and role. Base salaries for mid-level US-based engineers typically fall in the $120k–$180k range, with equity adding significant value given the company’s $11B valuation and $500M+ ARR. Senior and ML research roles can reach $350k–$400k+ in total comp.

How much equity do ElevenLabs employees get?+

ElevenLabs offers stock options as part of all full-time compensation packages. With the company valued at $11 billion after its February 2026 Series D and revenue exceeding $500M ARR, equity grants represent meaningful potential value. The exact grant size varies by role and seniority, but employee-reported data suggests equity can represent 20–40% of total compensation. Early employees who received grants at lower valuations have seen paper returns of 3–10x.

How does ElevenLabs compensation compare to OpenAI and Anthropic?+

ElevenLabs pays below [Anthropic](https://jobsbyculture.com/companies/anthropic) ($300k–$490k total comp for engineers) and [OpenAI](https://jobsbyculture.com/companies/openai) ($350k–$550k) in cash compensation. However, ElevenLabs’ equity story is compelling: the company grew from $80M to $500M+ ARR in under two years and is widely expected to IPO. For engineers willing to accept lower base pay, the equity upside could be substantial. See our [full compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

Does ElevenLabs adjust pay by location?+

Yes. ElevenLabs is [remote-first](https://jobsbyculture.com/values/remote) with employees across 30+ countries. Compensation is adjusted by location — US-based roles (particularly New York and San Francisco) command the highest total comp, while European and other international roles are benchmarked to local markets. The company has offices in New York, San Francisco, London, and Warsaw.

Is ElevenLabs going to IPO?+

ElevenLabs is widely expected to pursue an IPO, potentially in late 2026 or 2027. The company raised $500M at an $11B valuation in February 2026 and has exceeded $500M ARR with strong growth momentum. CEO Mati Staniszewski has publicly acknowledged the company is “eyeing” a public offering. An IPO would make employee equity liquid and significantly impact total compensation.

What benefits does ElevenLabs offer?+

ElevenLabs offers health insurance, flexible PTO, remote work flexibility across 30+ countries, and equity participation for all full-time employees. The company is still building out its benefits infrastructure — it’s leaner than more mature companies like [Stripe](https://jobsbyculture.com/companies/stripe) or [Databricks](https://jobsbyculture.com/companies/databricks). The trade-off is typical of hypergrowth startups: lighter benefits, higher equity upside.

### Explore ElevenLabs roles with culture context

See open positions, employee reviews, and how ElevenLabs compares to other AI companies on culture, comp, and work-life balance.

[View ElevenLabs Profile →](https://jobsbyculture.com/companies/elevenlabs) [Browse ElevenLabs Jobs →](https://jobsbyculture.com/jobs?company=elevenlabs)

---

## Document: 45 Heartfelt Farewell Messages for Your Boss (Copy & Paste Ready) | JobsByCulture

# 45 Heartfelt Farewell Messages for Your Boss (Copy & Paste Ready) | JobsByCulture

> 45 genuine farewell messages for a boss who is leaving, retiring, or moving to a new role. Organized by tone — heartfelt, mentor, retirement, short, and funny. Copy and paste ready.

Source: https://jobsbyculture.com/blog/farewell-messages-for-boss
Markdown: https://jobsbyculture.com/blog/farewell-messages-for-boss.md
Last updated: 2026-07-14

---
Writing a farewell message for your boss is a different challenge than writing one for a colleague. The dynamic is different, the relationship is different, and the stakes feel higher. Too formal and it sounds hollow. Too casual and it reads as overstepping. Too long and it becomes a speech. Too short and it seems like you didn't care.

The good news: a great farewell message for a boss doesn't require much. It needs one specific thing — a memory, a lesson, a decision they made that mattered — and a genuine send-off. The messages below are organized by situation so you can find the right fit quickly. Copy them as-is or use them as a starting point.

If you're putting together a group card for the whole team, you can [create a free farewell card](https://jobsbyculture.com/culture-cards/create?occasion=farewell) and collect everyone's messages in one place.

Organizing a farewell for your boss?

Collect messages from the whole team in one beautiful group card. Free, takes 30 seconds, works for remote teams.

[Create a Free Group Card →](https://jobsbyculture.com/culture-cards/farewell)

## Professional & Heartfelt

These work for almost any boss-employee relationship. They're warm without being sentimental, and specific enough to feel genuine. Use these as your default starting point, then personalize with a detail that's true to your experience.

1.  Working under your leadership has been one of the most valuable professional experiences of my career. You set a standard for how to lead that I'll be measuring myself against for years. Thank you for everything.
2.  I don't think I fully understood what good management looked like until I worked for you. Thank you for making it look effortless, even when I know it wasn't. Your next team is in excellent hands.
3.  You consistently made time for your people even when your calendar was full and the pressure was on. That kind of leadership is rare, and I noticed every single time. Best of luck in everything ahead.
4.  Thank you for always being direct with me. The honest feedback you gave me — especially the kind that was hard to hear — is what actually made me better. I'm grateful for that.
5.  Under your leadership, I felt genuinely trusted with my work. That trust made all the difference. I hope you find a team that gives you the same thing in return.
6.  You had a way of cutting through complexity and getting everyone aligned without making anyone feel steamrolled. I've tried to take notes. Wishing you every success in what comes next.
7.  The culture of this team is a reflection of who you are. That's the clearest measure of great leadership I know. Thank you for building something worth being a part of.
8.  I've had managers who pushed me and managers who supported me, but rarely both at once. You managed that balance better than anyone I've worked for. Thank you.
9.  Your instinct to give people room to figure things out — rather than solving everything for them — made me more capable and more confident. That's a real gift. Best of luck ahead.
10.  Thank you for taking the work seriously without taking yourself too seriously. That combination made this team function better than most I've seen. It's been a genuine pleasure.

## For a Boss Who Mentored You

Some managers do more than manage. They invest in you, advocate for you, and change the trajectory of your career. If your boss was that kind of person, these messages acknowledge it without veering into flattery.

1.  You didn't just manage my work — you actively shaped my career. The sponsorship, the stretch assignments, the honest conversations about where I was going. I wouldn't be where I am without that investment. Thank you.
2.  I came into this role uncertain about a lot of things. You gave me the right combination of direction and space to figure myself out. I leave it a completely different professional because of you.
3.  You saw potential in me before I saw it in myself, and then you gave me real opportunities to prove it. That kind of confidence from a manager changes everything. I'm grateful for every single one.
4.  The feedback you gave me in our one-on-ones was the most useful career advice I've ever received. Not because it was always comfortable — it rarely was — but because it was always true. Thank you for that.
5.  You went to bat for me more than once, in rooms I wasn't in. I found out later, and it meant more than I can adequately express here. Thank you for being that kind of advocate.
6.  You modeled something I try to carry forward: how to give people your full attention in a conversation. You always made me feel like the most important thing happening. That's rare, and I've tried to learn it from you.
7.  When I look back at this chapter of my career, your name is attached to nearly every moment where I grew. Thank you for being the kind of leader who makes that kind of impact.
8.  You taught me that the best managers make themselves unnecessary over time — by building capable people around them. You've done that. I can stand on my own now, and that's entirely because of you.
9.  I've had bosses who delegated tasks. You delegated ownership. The difference in what I learned from that is hard to overstate. I'll carry that philosophy into how I lead people someday.
10.  Not everyone gets a manager who genuinely cares about their growth as a person, not just as a contributor. I got lucky. Thank you for caring about the whole picture.

Want to collect messages from the whole team?

Create a free group farewell card your entire team can sign — no sign-up required, takes 30 seconds.

[Create One Free →](https://jobsbyculture.com/culture-cards/create)

## For a Boss Who Is Retiring

Retirement deserves a different kind of acknowledgment. It's not just a job change — it's the end of a career. These messages honor the milestone and the legacy, without being overly sentimental or formulaic.

1.  Retirement is a milestone that few people reach with the kind of record you've built. The careers you've shaped, the teams you've led, the problems you've solved — that's a legacy worth celebrating. Enjoy every moment of what comes next.
2.  You've earned this. And I mean that in the fullest sense — not just the rest, but the satisfaction of looking back at a career that genuinely mattered to the people who worked with you.
3.  I hope retirement gives you space to do the things you've always said you'd get to "eventually." After everything you've given this team and this company, eventually should feel very good.
4.  Working with you has given me a long-term perspective on what a career can look like when you lead with integrity throughout. You've set a standard I'll spend the rest of mine trying to meet.
5.  The institutional knowledge walking out the door with you is irreplaceable. But more than that, the way you treated people — with patience, fairness, and genuine investment — that's what we'll miss most.
6.  You've been showing the rest of us what good leadership looks like for longer than many of us have been in the workforce. That example doesn't retire when you do. Thank you for it.
7.  I hope the next chapter is everything you want it to be: slower mornings, fewer status updates, and more time for everything that work kept getting in the way of. You've earned all of it.
8.  Working for someone who does the job with that much integrity and care is a privilege that not everyone gets. I got to experience it, and I'm grateful for that every time I think about how I want to show up in my own career.

### For a retiring boss

A group card is a particularly meaningful keepsake for someone who's retiring. Consider including a personal note from each team member. You can [create a free digital farewell card](https://jobsbyculture.com/culture-cards/create?occasion=farewell) that everyone signs and the recipient keeps forever — no paper copy getting lost in a moving box. For more retirement-specific messages, see our full list of [retirement messages for a coworker](https://jobsbyculture.com/blog/retirement-messages-for-coworker).

## Short & Sweet for Cards

When a group card is circulating and you have three lines of space, these get the job done with sincerity and no wasted words.

1.  Thank you for leading this team the way you did. It made a difference.
2.  You made this a team worth being a part of. That's on you. Best of luck.
3.  I learned more from you than from any other manager I've had. Thank you for that.
4.  Your next team doesn't know it yet, but they're very lucky.
5.  Thank you for always making time. That meant more than you probably knew.
6.  You raised the standard for everyone around you. That's a real legacy.
7.  Working for you has been a genuine privilege. Best of luck in what comes next.
8.  The team is losing one of the good ones. We'll feel that.
9.  Thank you for the guidance, the trust, and the honest feedback. All of it mattered.
10.  You've left this team better than you found it. That's the whole job. Well done.

## Funny & Lighthearted

These work best if you've had a relaxed, joking relationship with your boss. If you're not sure how they'll land, go with heartfelt instead. But if your manager has a good sense of humor and you've shared one over the years, a little levity in a card can be the most memorable message in it.

1.  I've spent years trying to figure out how you stayed so calm in back-to-back all-hands followed by a production incident. I never cracked it. Taking that secret with you seems unfair, frankly.
2.  Your one-on-ones were the only recurring meeting I never tried to reschedule. I want you to know that is a very short list.
3.  The unofficial job description for your role apparently included "absorb everyone's panic and return it as calm direction." You nailed it, every time. No idea how. Truly.
4.  I'm not saying the team morale survey scores are about to take a hit, but I'm not not saying that either. Best of luck out there.
5.  You managed to give critical feedback in a way that actually made me want to improve rather than update my resume. That is a skill and you need to teach a masterclass on it.
6.  The new hire orientation should include a slide that says "your manager will not be this good forever, enjoy it." In retrospect, we should have appreciated you more loudly while we had the chance.
7.  I hope your next role comes with better coffee, shorter status meetings, and a team that sends you fewer "quick question" messages at 4:58pm. You've earned all of that and more.

### Create a free group farewell card

Put these messages together into a card the whole team signs. Works for remote and hybrid teams. Free, no account required.

[Create Farewell Card →](https://jobsbyculture.com/culture-cards/create?occasion=farewell) [Browse All Card Types →](https://jobsbyculture.com/culture-cards)

## How to Write a Farewell Message for Your Boss

The messages above are copy-paste ready, but if you want to write your own, these principles separate the ones that get read once from the ones that get kept.

-   **Lead with something specific.** "You were a great manager" tells them nothing new. "You were the person who approved my request to present to the exec team even when I was terrified" tells them they mattered in a particular way. One specific detail is worth ten adjectives.
-   **Name what you learned.** Managers rarely hear what they actually taught people. Telling your boss exactly what you took away from working with them — a framework, a habit, a way of handling conflict — is one of the most meaningful things you can say in a farewell.
-   **Don't overdo the compliments.** A farewell message that reads like a performance review sounds hollow. Pick one or two things that genuinely matter and say those with conviction, rather than listing every positive quality you can think of.
-   **Acknowledge the transition, not just the past.** The best farewell messages aren't just backward-looking. End with something genuine about what you hope for them next, not just what you appreciated about your shared time.
-   **Keep the tone appropriate to the relationship.** If you've had a formal professional relationship, a warm but professional message is right. If you've been close, something more personal lands better. Match the message to the actual relationship, not the one you wished you had.

The most common mistake in farewell messages for bosses is being too generic out of politeness. The people who meant something to your career deserve more than "best of luck in your future endeavors." If they earned genuine gratitude, give it to them specifically. If the relationship was more distant, a short and dignified message is perfectly fine. The key is honesty in both directions.

Farewells also matter more than people realize as a signal of [company culture](https://jobsbyculture.com/blog/what-is-company-culture). Teams that send thoughtful, meaningful goodbyes to their leaders tend to be the ones that also onboard people well, give real feedback, and treat departures with respect. How you say goodbye says something real about how you work. If you're also looking for the right words when a colleague is leaving — not just a boss — see our full list of [farewell messages for coworkers](https://jobsbyculture.com/blog/farewell-messages-for-colleagues).

## Frequently Asked Questions

What should I write in a farewell card for my boss?+

Focus on something specific: a project they championed, feedback that changed how you work, or a decision they made that protected the team. Avoid generic praise like "great leader" — instead, name what made them great to you personally. Keep the tone warm but professional, and end with a genuine wish for what's ahead. Something like: "You were the first manager who gave me real ownership over my work. I'll carry that confidence with me."

How do I write a farewell message for a retiring boss?+

Retirement messages work best when they honor the scope of the career, not just your shared time. Acknowledge the milestone — retirement after a long career is significant — and reflect on what their leadership style or philosophy will leave behind. Avoid framing retirement as "finally" or "freedom from work," which can read as dismissive. Focus on legacy and gratitude. If the whole team is contributing, a [group farewell card](https://jobsbyculture.com/culture-cards/create?occasion=farewell) makes a particularly meaningful keepsake.

Is it appropriate to write a funny farewell message for a boss?+

It depends entirely on your relationship. If you've shared inside jokes, had a relaxed dynamic, and the broader team culture is informal, light humor is appropriate. Keep it focused on shared experiences or gentle situational humor — never jokes about their age, salary, or reasons for leaving. When in doubt, go heartfelt. A sincere message is always safe; a joke that lands wrong is remembered.

How long should a farewell message for a boss be?+

For a shared team card where multiple people are contributing, 2–4 sentences is ideal. For a personal email or handwritten card, 5–8 sentences gives you room to say something meaningful without becoming a speech. The goal is specificity, not length. One well-chosen detail about what you learned from them is worth more than two paragraphs of general appreciation.

What do you say when your boss leaves for a competitor?+

Keep it warm and professional without referencing the competitive dynamic. Focus on your experience working with them, what you learned, and your wishes for their future. You don't need to acknowledge where they're going — just that you're glad your paths crossed and you're rooting for them. Example: "It's been a privilege being on your team. Whatever comes next, I know you'll make an impact."

Should you sign a farewell card if you didn't like your boss?+

Yes — but keep it brief and neutral. You don't have to manufacture warmth you don't feel. A simple "Wishing you well in your next chapter" or "Best of luck ahead" is honest and professional. Signing without writing something, or skipping the card entirely, can create awkwardness especially in small teams. A short, dignified message is always the right call.

Put these messages to use

### Create a group card the whole team can sign

Pick a message from above, add it to a free farewell card, and share the link with the team. Everyone signs, your boss gets a keepsake they'll actually keep.

[Create a Free Farewell Card →](https://jobsbyculture.com/culture-cards/farewell)
[Browse All Card Types →](https://jobsbyculture.com/culture-cards)

---

## Document: Figma Salary 2026: $221K–$909K TC, Post-IPO RSUs & How It Compares

# Figma Salary 2026: $221K–$909K TC, Post-IPO RSUs & How It Compares

> Figma compensation in 2026: $221K-$909K total comp for engineers, with publicly traded RSUs (NYSE: FIG). Real compensation data, salary by level, equity vesting, benefits, and how it compares to Canva, Adobe, Stripe, and OpenAI.

Source: https://jobsbyculture.com/blog/figma-compensation-2026
Markdown: https://jobsbyculture.com/blog/figma-compensation-2026.md
Last updated: 2026-07-14

---
TL;DR — Key Takeaways

-   Figma’s software engineer total compensation ranges from **$221K (L1) to $909K+ (L4–L5)**, with a senior engineer (L3) median around **$510K** based on verified salary reports.
-   Equity is now **publicly traded RSUs** on NYSE under ticker **FIG**. Figma IPO’d on July 31, 2025 — shares opened at $85, peaked near $143, and traded around **~$20 in May 2026**.
-   Figma has **~1,886 employees** and reported **41% year-over-year revenue growth**. The business is strong — the stock decline reflects broader market conditions and post-IPO lockup selling, not a broken company.
-   Glassdoor overall score of **3.7/5**, WLB of **3.1/5**. Figma is a high-intensity design platform company with an engineering-driven culture, a craft-obsessed team, and a reputation for technically ambitious problems (real-time multiplayer, WebAssembly rendering).

In This Article

1.  [Quick Stats at a Glance](#glance)
2.  [The Short Version](#short-version)
3.  [Base Salary by Level](#base-salary)
4.  [Post-IPO RSUs: The Real Story](#equity)
5.  [Benefits & Perks](#benefits)
6.  [How Figma Compares](#comparison)
7.  [The Stock Crash & What It Means for Comp](#stock-crash)
8.  [Negotiation Tips](#negotiation)
9.  [Frequently Asked Questions](#faq)

[Figma](https://jobsbyculture.com/companies/figma) has one of the most interesting compensation stories in tech right now — and not for the reasons anyone expected. The collaborative design platform went public on July 31, 2025, listing on the NYSE under ticker FIG. Shares opened at $85, tripled from the IPO price of $33, and closed the first day at $115.50 with a market cap north of $56 billion. It was, by any measure, a spectacular debut.

Then the stock lost roughly 75% of its value.

As of May 2026, FIG trades around $20 — a 52-week low territory. For the ~1,886 employees at Figma, this has rewritten the economics of their compensation packages in real time. Engineers who joined with RSU grants valued at $85 or $100 per share are now holding equity worth a fraction of what their offer letters promised. Meanwhile, new hires receiving grants at today’s price are getting more shares for the same dollar amount — which could be either a buying opportunity or a falling knife.

This article breaks down exactly what Figma pays, how the equity works post-IPO, and how to think about a Figma offer when the stock chart looks like a ski slope.

## Quick Stats at a Glance

Component

Detail

Company

Figma (NYSE: FIG)

Employees

~1,886

Market Cap

~$10.6B (May 2026)

Glassdoor Overall

3.7 / 5.0

Work-Life Balance

3.1 / 5.0

CEO Approval

95% (Dylan Field)

Engineer TC Range

$221K–$909K+ (L1–L5)

Senior Engineer TC

~$510K (L3)

Equity Type

RSUs (publicly traded — NYSE: FIG)

Stock Price

~$20.56 (May 2026)

Revenue Growth

41% YoY

~$20

FIG stock price in May 2026 — down from $115.50 on IPO day (July 31, 2025)

## The Short Version

Figma compensation is structured around three components: base salary, RSU equity grants, and performance bonuses. The company uses a leveling system from L1 (entry) through L5 (senior staff), with equity becoming a progressively larger share of total comp at higher levels.

A typical senior engineer offer (L3) looks something like this: $200K–$220K base salary, $250K–$280K in annual RSU grants, plus bonus — totaling approximately $510K per year. At L4 (staff), total comp jumps to ~$819K, with RSUs accounting for well over half the package. These are strong numbers by any standard — competitive with [Stripe](https://jobsbyculture.com/blog/stripe-compensation-2026), above Adobe, and within range of the AI labs at senior levels.

The catch: those RSU values were calculated at grant-time stock prices. If your RSUs were granted when FIG was at $85, they’re now worth roughly a quarter of the stated grant value. If you’re joining now at ~$20/share, you’re getting 4x as many shares for the same dollar amount — which makes the upside calculus very different from someone who joined nine months ago.

## Base Salary by Level

Figma’s base salaries are strong for a design-tools company and competitive with top-tier tech across the board. These figures are based on verified salary reports and reported offers from 2025–2026.

Level

Title

Base Salary

Annual RSU Value

Est. Total Comp

L1

Software Engineer

$125K–$150K

~$55K–$70K

~$221K

L2

Software Engineer

$170K–$185K

~$100K–$120K

~$306K

L3

Senior Software Engineer

$200K–$220K

~$250K–$280K

~$510K

L4

Staff Software Engineer

~$250K–$280K

~$460K–$500K

~$819K

L5

Senior Staff Engineer

$280K+

$500K+

$909K+

The pattern is clear: equity dominates at senior levels. At L1, RSUs account for roughly 25–30% of total comp. By L4, RSUs are nearly 60% of the package. This makes the stock price the single most important variable in any senior Figma engineer’s real compensation — and explains why the post-IPO stock decline has hit morale harder at senior levels.

Interested in these salary ranges? See what’s open now. [See open Figma positions →](https://jobsbyculture.com/jobs?company=figma)

## Post-IPO RSUs: The Real Story

Figma’s equity story changed fundamentally on July 31, 2025. Here’s what employees and candidates need to understand about how RSUs work now that Figma is public:

-   **RSUs are now liquid.** Unlike pre-IPO companies where RSUs are paper value until an exit event, Figma RSUs vest into FIG shares that can be sold on the NYSE immediately. This is a genuine advantage over private-company equity — you know exactly what your shares are worth on any given day, and you can sell them as soon as they vest.
-   **The 2025 Equity Incentive Plan.** Figma’s post-IPO equity plan reserves up to 58 million shares for employee grants, with an evergreen provision that automatically increases the pool by up to 5% of total outstanding shares each year. This means dilution is built into the structure, but it also means the company can continue granting competitive RSU packages without running out of shares.
-   **Standard four-year vesting with one-year cliff.** New-hire RSU grants typically vest over four years with a one-year cliff. After the cliff, shares vest quarterly or monthly depending on the grant terms. This is standard for public tech companies.
-   **ESPP (Employee Stock Purchase Plan).** Figma also offers an ESPP that lets employees buy FIG stock at a discount — typically 15% below market price. At the current ~$20 stock price, this is an efficient way to accumulate shares if you believe in a recovery. The ESPP plan has its own 1% annual evergreen provision.
-   **Tax treatment is now straightforward.** When RSUs vest, the company withholds 22–37% in taxes. For senior engineers with large RSU grants, the withholding may be insufficient for their actual bracket — plan accordingly. The clarity of public-company RSU tax treatment is a meaningful advantage over the complexities of pre-IPO equity (PPUs, double-trigger RSUs, etc.).

Pro — Employee review “At least with public RSUs, you know what you have. I came from a pre-IPO startup where my equity was a number on a spreadsheet. At Figma, I can see my portfolio value every day — even when it’s going down, at least it’s real.”

Con — Employee review “My offer letter said my RSUs were worth $460K annually. At today’s stock price, they’re worth maybe $110K. Same number of shares, completely different compensation. It’s demoralizing.”

Related Reading

-   [Working at Figma in 2026: Culture, Craft & What Employees Say](https://jobsbyculture.com/blog/working-at-figma-2026)
-   [Figma Employee Count 2026: Headcount, Growth & Team Size](https://jobsbyculture.com/blog/figma-employee-count-2026)
-   [RSU vs Stock Options Explained: Which Is Better in 2026?](https://jobsbyculture.com/blog/rsu-vs-stock-options-explained-2026)

## Benefits & Perks

Figma’s benefits package is comprehensive, though the WLB score of 3.1/5 suggests the culture expects high output. Based on employee reports and public benefit listings:

-   **Health insurance:** Full medical, dental, and vision coverage for employees and dependents. Mental health support is included with therapy and counseling benefits.
-   **401(k):** Retirement savings plan available to all full-time employees.
-   **Parental leave:** Generous paid parental leave for all parents, with additional time for birthing parents.
-   **ESPP:** Employee Stock Purchase Plan allowing discounted FIG stock purchases — typically at 15% below market price.
-   **Wellness:** Wellness stipend and fitness benefits. Office locations offer catered meals and snacks.
-   **Learning & development:** L&D budget for conferences, courses, and professional development. Figma’s engineering blog and internal tech talks provide organic learning opportunities.
-   **Home office:** Home office stipend for remote or hybrid employees. Commuter benefits for office-based employees.
-   **PTO:** Flexible paid time off, though the 3.1/5 WLB score suggests taking it fully can be culturally difficult during crunch periods.

Pro — Employee review “Benefits are good across the board. The ESPP is a smart move at current prices — you’re buying discounted stock in a company with 41% revenue growth and a $10B market cap. The business is solid even if the stock market doesn’t think so right now.”

## How Figma Compares

Figma competes for engineering talent with a mix of design/productivity tools companies and top-tier tech. Here’s how total compensation stacks up:

Company

Sr. Eng TC

Glassdoor

Equity Type

Stock Status

[Figma](https://jobsbyculture.com/companies/figma)

~$510K

3.7 / 5

RSUs (public)

FIG ~$20 (down 75%)

[Stripe](https://jobsbyculture.com/companies/stripe)

~$424K

4.0 / 5

RSUs (private)

No IPO timeline

[Vercel](https://jobsbyculture.com/companies/vercel)

~$400K

3.7 / 5

Options/RSUs (private)

Private

Adobe

~$320K

4.1 / 5

RSUs (public)

ADBE stable

[OpenAI](https://jobsbyculture.com/companies/openai)

~$555K

3.7 / 5

PPUs (private)

No IPO timeline

Key takeaways from the comparison:

-   **Figma pays more than Stripe at comparable levels** — on paper. A Figma L3 at $510K beats a Stripe L3 at $424K. But Stripe’s equity is pre-IPO RSUs at a $159B valuation with regular tender offers, which some candidates view as having more upside potential than Figma stock at its current depressed price.
-   **Adobe is the safe play.** Adobe pays less ($320K vs $510K at senior level), but its stock is stable and mature. For engineers who want predictable compensation without watching their equity lose 75% of its value, Adobe is the obvious choice. The tradeoff: less compensation ceiling, less technical ambition, larger-company bureaucracy.
-   **OpenAI leads on raw TC.** OpenAI’s median engineer comp of $555K beats Figma’s $510K, and at staff levels the gap widens. But OpenAI uses PPUs — a novel equity instrument — and the work intensity is higher. Figma’s advantage is liquidity (public stock) and a more defined product domain.
-   **The real comparison is grant-price adjusted.** If you join Figma now at ~$20/share, you’re getting 4x as many shares as someone who joined at $85. If FIG recovers to $40 — still well below its all-time high — your RSUs double. That’s a risk/reward calculation that no static comp comparison captures.

## The Stock Crash & What It Means for Comp

The elephant in the room: Figma stock has fallen from $115.50 on its first trading day to roughly $20 in May 2026. A 52-week range of $16.60–$142.92 tells the full story. For compensation purposes, this creates three distinct employee cohorts:

-   **Pre-IPO employees (joined before July 2025):** These employees received RSUs at internal valuations that predated the IPO. Many of their shares are now fully vested and liquid, but the stock price is well below the implied value in their offer letters. If they held through the decline, their real compensation has been significantly reduced. However, pre-IPO employees who received grants at early-stage valuations (sub-$10B) may still be sitting on meaningful gains, even at $20/share.
-   **Post-IPO, pre-crash employees (joined Aug–Dec 2025):** This is the hardest-hit cohort. These engineers received RSU grants valued at $85–$143 per share. An L3 who was told their RSUs were worth $280K annually now has RSUs worth ~$60K–$70K at today’s price. The base salary and bonus remain unchanged, but the total comp picture has fundamentally shifted.
-   **Current new hires (2026):** Engineers joining now receive grants priced at ~$20/share. They’re getting roughly 4x as many shares as someone who joined at $85 for the same dollar grant value. If FIG recovers — and 41% revenue growth suggests the business warrants a higher valuation — new hires stand to benefit disproportionately.

41%

Figma’s year-over-year revenue growth — the business is growing even as the stock declines

Should you be worried about Figma as a company? The short answer: probably not. The stock decline appears to be driven by a combination of post-IPO lockup selling (insiders and early investors liquidating), broader tech market rotation, and valuation compression across high-growth SaaS companies. The business itself — 41% revenue growth, a dominant position in design tooling, expanding into AI-powered features — remains strong. Figma is not in financial trouble.

The question for candidates is simpler: _do you believe FIG stock will be worth more than $20 in three to four years?_ If yes, a Figma offer in 2026 is an opportunity to buy into a high-quality company at a discount. If no, the base salary and bonus alone still make Figma competitive with most of tech — just not at the headline TC numbers from the salary tables above.

Con — Employee review “I joined at $95/share. My four-year grant is now worth less than one year’s worth at grant price. The company keeps saying the business is strong, and it is — but morale is genuinely affected when your compensation drops 50% because of the market.”

Pro — Employee review “If you’re joining now, this is actually the best time. You’re getting a massive share count at a low price, in a company doing $700M+ in revenue with 41% growth. The product is incredible. The stock will catch up eventually.”

## Negotiation Tips

If you receive a Figma offer in 2026, the negotiation dynamics are different from a typical public-company offer because of the stock situation. Here’s how to approach it:

-   **Negotiate in shares, not dollars.** Since FIG stock is volatile, ask for your RSU grant to be denominated in a specific number of shares rather than a dollar value. If the grant is stated as “$200K in RSUs,” that’s 10,000 shares at $20. But if the stock drops to $15 before your start date, you’ll get fewer shares for the same dollar amount. Locking in share count protects your upside.
-   **Push for a higher base salary to offset equity risk.** Given the stock volatility, ask for a higher base salary than you might normally accept. Base salary is guaranteed cash regardless of what FIG does. A $20K bump in base is worth more in certainty than a $50K bump in RSUs at an uncertain stock price.
-   **Use the stock decline as leverage.** You can (diplomatically) point out that the RSU component of Figma offers is worth less in reality than the headline number suggests. This is a legitimate reason to request a larger grant, a signing bonus to bridge the gap, or additional cash compensation.
-   **Ask about refresh grants and retention packages.** Public companies typically offer annual RSU refreshers on top of the initial four-year grant. Ask your recruiter about Figma’s refresh cadence and size. In a declining stock environment, companies often increase refresher grants to retain talent.
-   **Level matters enormously.** The gap between L3 ($510K) and L4 ($819K) is $309K annually. If you have staff-level experience, push for L4 during the interview process. No amount of post-offer negotiation will close a gap that large within a single level.
-   **Consider the ESPP angle.** The 15% ESPP discount on a $20 stock means you’re buying at ~$17. If you believe in a recovery, maximizing your ESPP contribution is a tax-efficient way to accumulate shares at a discount.

### Is Figma Compensation Worth It in 2026?

Figma offers genuinely strong compensation — $510K median at L3, $819K at staff level — with the significant caveat that RSU values depend entirely on what FIG stock does. For new hires joining at ~$20/share, the risk/reward is actually favorable: you’re getting a large share count in a company with 41% revenue growth, a dominant market position, and a 95% CEO approval rating. The WLB score of 3.1/5 is real — Figma works hard — but the engineering problems (real-time multiplayer, WebAssembly, massive-scale infrastructure) are genuinely world-class. If you want publicly traded equity with meaningful upside, a craft-driven engineering culture, and compensation that beats most of non-FAANG tech, Figma is a compelling choice in 2026. If you want stability and predictable equity value, look at Adobe, [Datadog](https://jobsbyculture.com/companies/datadog), or another mature public company instead.

## Open Positions at Figma

Figma is actively hiring across engineering, design, product, and sales with over 169 open roles. Core engineering is concentrated in San Francisco (HQ) and New York, with some distributed positions available. The interview process emphasizes both technical skill and design sensibility — expect system design questions that probe your thinking about real-time collaboration, performance at scale, and user experience tradeoffs.

For the full list of live openings, visit the [Figma jobs page on JobsByCulture](https://jobsbyculture.com/jobs?company=figma). You can also explore the [Figma culture profile](https://jobsbyculture.com/companies/figma) for employee reviews, culture values, and a full breakdown of what it’s like to work there.

## Frequently Asked Questions

What is the average salary at Figma in 2026?+

The median total compensation for a senior software engineer (L3) at Figma is approximately $510K per year based on verified salary reports. Total comp ranges from $221K at entry level (L1) to $909K+ at the 90th percentile for staff-level engineers (L4–L5). Base salaries range from $125K at L1 to $280K+ at senior staff level, with the remainder coming from publicly traded RSUs (NYSE: FIG) and performance bonuses.

What kind of equity does Figma give employees?+

Figma grants employees RSUs (Restricted Stock Units) that are now publicly traded on the NYSE under ticker FIG. Since the July 2025 IPO, RSUs vest into liquid shares that can be sold immediately. The 2025 Equity Incentive Plan reserves up to 58 million shares with an annual evergreen provision of up to 5% of outstanding shares. Standard vesting is four years with a one-year cliff. Figma also offers an ESPP at a 15% discount.

How much does a Figma software engineer make?+

Figma software engineer total compensation ranges from $221K at L1 (entry) to $909K+ at L4–L5 (staff/senior staff). A typical senior engineer (L3) earns around $510K in total comp, combining a $200K–$220K base salary with RSU grants and bonuses. At the L4 (staff) level, total comp rises to approximately $819K. Note that RSU values fluctuate with FIG stock price. See all [current Figma openings](https://jobsbyculture.com/jobs?company=figma).

Is Figma stock a good investment for employees?+

FIG has experienced significant volatility since its July 2025 IPO, trading from a peak of ~$143 down to ~$20 in May 2026. The business fundamentals remain strong (41% revenue growth), suggesting the stock decline reflects market conditions rather than company health. Employees receiving RSU grants at current prices are getting significantly more shares than those who joined at higher prices, creating potential upside if the stock recovers. The ESPP offers an additional 15% discount for employee purchases.

How does Figma compensation compare to Adobe?+

Figma generally pays more than Adobe at comparable levels. Adobe’s median senior software engineer TC is approximately $320K, while Figma’s L3 median is around $510K. However, Adobe’s stock (ADBE) is more stable and mature, reducing equity risk. The tradeoff is higher total comp potential with more stock price volatility at Figma vs. predictable, lower compensation at Adobe.

What benefits does Figma offer employees?+

Figma offers comprehensive benefits including full medical, dental, and vision coverage; mental health support; generous parental leave; flexible PTO; wellness stipend; 401(k) retirement plan; learning and development budget; ESPP at 15% discount; catered meals at offices; commuter benefits; and home office stipend for remote employees.

Can you negotiate a Figma offer?+

Yes, Figma offers are negotiable. Given the stock volatility, focus negotiation on share count (not dollar value), base salary increases, and signing bonuses. Competing offers from Adobe, Stripe, Canva, or AI labs provide leverage. The stock decline is itself leverage — you can legitimately argue that the RSU component is worth less than headline figures suggest and request additional compensation to bridge the gap.

### See open Figma roles

Filter by role, seniority, and culture values. Every listing includes compensation context.

[See Figma Jobs →](https://jobsbyculture.com/jobs?company=figma) [Figma Culture Profile →](https://jobsbyculture.com/companies/figma)

---

## Document: Group Greeting Cards Online Free — 7 Best Platforms for Work (2026) | JobsByCulture

# Group Greeting Cards Online Free — 7 Best Platforms for Work (2026) | JobsByCulture

> Free group greeting cards online for the office. Compare the 7 best group greeting card platforms — send a group greeting with unlimited signers, no account needed. Create a free group card in 30 seconds.

Source: https://jobsbyculture.com/blog/free-online-group-greeting-cards
Markdown: https://jobsbyculture.com/blog/free-online-group-greeting-cards.md
Last updated: 2026-07-14

---
Passing around a physical card used to be simple. Walk it desk to desk, everyone signs, drop it on the birthday person's keyboard before they arrive. But when half your team is remote, that card just sits in a drawer. What you need is a digital group card that the whole team can sign from anywhere.

An online group card solves this perfectly. Everyone gets a link, adds their message from wherever they are, and the recipient gets a greeting card group-signed by the whole team. No printing, no mailing, no chasing people down the hallway. Whether it's a [group birthday card](https://jobsbyculture.com/culture-cards/birthday), a [group leaving card online](https://jobsbyculture.com/culture-cards/farewell), or a simple thank-you, a group ecard makes it effortless.

The problem? Most platforms that advertise free group cards don't really mean it. Free to create, maybe — but then you hit a paywall for more than 5 signers, or media uploads, or delivery. We tested every major group card free option to find out which ones are actually worth your time and which group ecards free tiers will nickel-and-dime you at the worst possible moment (usually right before the deadline).

## What is a group greeting card?

A group greeting card — sometimes called a group greeting, group ecard, or digital group card — is an online card that multiple people can sign from anywhere. Instead of passing a physical card around the office, one person creates the card, shares a signing link, and everyone adds their message. The finished group greeting is then delivered to the recipient as a single card with all the messages collected in one place.

Group greeting cards have become essential for remote and hybrid teams. When your team spans multiple time zones, a physical card sitting on someone’s desk in the San Francisco office doesn’t work for the engineer in London or the designer in Tokyo. A group greeting card solves this by making the whole process digital — creation, signing, and delivery all happen through a browser.

The most common occasions for sending a group greeting at work include birthdays, farewells, work anniversaries, congratulations on promotions, welcome messages for new hires, thank-you cards, get well soon messages, retirement celebrations, and holiday greetings. Most group greeting card platforms offer templates for all of these.

## What to look for in an online group card platform

Before we get into the reviews, here are the criteria that matter most when choosing group cards online for your workplace:

-   **Truly free tier.** Can you create a card, get your team to sign it, and deliver it without paying? Or is "free" just a bait-and-switch for a $5-7 card?
-   **No account required for signers.** If your coworkers need to create an account just to write "Happy Birthday!", half of them won't bother. The signing link should just work.
-   **Media uploads.** Text-only cards feel flat. GIFs, photos, and stickers make it personal. But check whether this feature is behind a paywall.
-   **Good themes and occasions.** You need more than just birthdays. Work anniversaries, farewells, congratulations, welcome cards for new hires, and thank-you cards are all common workplace occasions.
-   **Delivery options.** Can you email the card directly, or do you have to screenshot it and paste it into Slack yourself? Scheduled delivery is a bonus.
-   **Privacy.** Signers should not be able to see each other's messages before the card is delivered. Nobody wants their heartfelt farewell note visible to the whole team before the surprise.

With those criteria in mind, here are the 7 best options available right now.

## The 7 best free group ecards for work

### 1\. Culture Cards by JobsByCulture

Free unlimited cards & signers · $5.99 for premium features

[Culture Cards](https://jobsbyculture.com/culture-cards) is our own group card platform, built specifically for workplace teams. The core idea is simple: creating a card and collecting signatures should be completely free, with no limits on how many people can sign. You only pay if you want premium features like GIF/image uploads and email delivery.

You can choose from 12 occasions ([birthday](https://jobsbyculture.com/culture-cards/birthday), [farewell](https://jobsbyculture.com/culture-cards/farewell), work anniversary, congratulations, welcome, thank you, get well, retirement, holiday, baby shower, promotion, and custom) with 8 visual themes. The signing experience is clean — signers click a link, type their name and message, and they're done. No account creation, no app download, no friction.

The premium tier at $5.99 per card adds GIF and image uploads, direct email delivery to the recipient, and priority support. But for teams that just want to collect text messages from the group, the free tier has no catch. No signer limits, no watermarks, no expiration.

#### Strengths

-   Truly free: unlimited cards and signers
-   No account needed for signers
-   12 occasion types + custom option
-   Built for workplace teams specifically
-   Clean, fast signing experience

#### Limitations

-   GIF/image uploads require premium ($5.99)
-   Email delivery is a premium feature
-   Newer platform, smaller template library

### 2\. Thankbox

Popular for gifts · Free tier limited · From £4.99 per card

Thankbox is one of the more established names in the online group card space, and its standout feature is gift collection. You can attach a group gift fund to any card, letting team members contribute money alongside their messages. This makes it particularly good for farewell or retirement cards where the team wants to pool funds for a gift card or present.

The free tier lets you create a Thankbox and collect messages, but it comes with limitations: a watermark on the card, no video messages, and restricted customization options. To remove these limits, you're looking at £4.99 for a standard card or £9.99 for a premium card with video, custom branding, and a gift pot.

The signing experience is straightforward. Signers can add text, photos, and GIFs. The interface is clean and works well on mobile. If your primary use case involves collecting money alongside messages, Thankbox is a strong choice — but for simple group cards, the paid pricing adds up quickly if you're sending cards regularly.

#### Strengths

-   Built-in gift collection and group gifting
-   No account needed for signers
-   Video messages on premium tier
-   Well-established with a polished UI

#### Limitations

-   Free tier has watermark
-   Paid cards start at £4.99 each
-   Costs add up for frequent senders

### 3\. Kudoboard

Freemium · 10-post limit on free · From $5.99 per board

Kudoboard is probably the most widely used group card platform, and for good reason: the board-style format works well for large teams. Instead of a traditional card layout, messages appear as individual "posts" on a shared board, which feels natural and allows each signer to add their own photos or GIFs.

The catch is the free tier. You're limited to 10 posts per board, which is fine for a small team but falls short once you have more than 10 people wanting to sign. Beyond that, you need a paid plan: $5.99 for a single premium board (unlimited posts, no ads, slideshows) or $7.99 for the premium+ tier with video and gift cards. There are also business plans for companies that send cards frequently.

Kudoboard's strength is its flexibility. Boards can be printed as posters, exported as PDFs, or shared as slideshows — useful for all-hands meetings or farewell presentations. The downside is that the free tier feels more like a trial than a real offering. Ten posts is just not enough for most team use cases.

#### Strengths

-   Board format works great for large teams
-   Export as PDF, poster, or slideshow
-   Rich media support (photos, GIFs, videos)
-   Business plans for frequent use

#### Limitations

-   Free tier capped at 10 posts
-   Ads on free boards
-   Per-board pricing gets expensive

![Comparing digital platforms side by side](https://jobsbyculture.com/blog/images/group-cards-compare.webp)

### 4\. GroupGreeting

Good templates · Limited free · $5–7 per card

GroupGreeting delivers exactly what the name promises: a straightforward platform for creating group greeting cards. The template library is one of its stronger features, with a wide variety of designs organized by occasion. The cards look polished and professional, which matters when you're sending something from the entire department.

The free option is quite limited — you can explore templates and start a card, but sending it requires a paid plan. Individual cards run $5 to $7, with volume discounts available for businesses. The platform supports scheduling delivery, setting deadlines for signers, and sending reminder nudges to people who haven't signed yet (a genuinely useful feature when you're herding 20 coworkers).

It's a solid, no-surprises platform. The signing experience is simple, the delivery is reliable, and the templates look good. The main downside is that there's no meaningful free tier — you're paying per card from the start.

#### Strengths

-   Large, professional template library
-   Signer reminder nudges
-   Scheduled delivery
-   Business plans with volume discounts

#### Limitations

-   No real free tier
-   $5–7 per individual card
-   Limited media options on basic plans

### 5\. Paperless Post

Beautiful designs · Coin system · More personal than work

Paperless Post is gorgeous. The designs are a cut above everything else on this list — elegant, minimal, and the kind of thing you'd send for a wedding invitation or a fancy dinner party. The envelope-opening animation when recipients view the card is a nice touch that makes it feel premium.

The problem for workplace use is twofold. First, the pricing model uses a "coin" system that's intentionally confusing. Some designs are free, others cost coins, and coins cost real money. You'll spend more time figuring out what's actually free than actually making the card. Second, Paperless Post is designed primarily for personal events — dinner parties, weddings, baby showers. Workplace-specific occasions like work anniversaries or farewell cards are underrepresented in the template library.

That said, if you're looking for something truly beautiful for a special occasion (a CEO's retirement, a company milestone), Paperless Post delivers on aesthetics better than anyone else. Just don't expect it to be free or fast for everyday team cards.

#### Strengths

-   Best-in-class design quality
-   Premium feel with envelope animations
-   Strong for special occasions

#### Limitations

-   Confusing coin-based pricing
-   Not designed for workplace teams
-   Limited group-signing functionality
-   Workplace occasions underrepresented

### 6\. EcardWidget

Basic free option · Simple interface · Limited customization

EcardWidget is a no-frills group card tool. It does the basics: pick a design, share a link, people sign, you deliver. The interface is straightforward and doesn't require much explanation — you can have a card set up in under a minute.

The free tier lets you create cards with basic designs and collect messages. It's more generous than some competitors in terms of signer limits, but the trade-off is in customization and polish. The template library is noticeably smaller than Kudoboard or GroupGreeting, and the designs feel dated compared to newer platforms. Media options are limited, and the overall experience is functional rather than delightful.

For teams that just need something simple and fast with no budget, EcardWidget works. But if you care about the card looking good or want features like GIF uploads and scheduled delivery, you'll outgrow it quickly.

#### Strengths

-   Quick and simple setup
-   Functional free tier
-   No unnecessary complexity

#### Limitations

-   Dated design templates
-   Limited customization options
-   Minimal media support
-   Lacks advanced features (scheduling, reminders)

### 7\. Canva

Design tool, not a card platform · No group signing · Free design templates

Canva shows up in every "best group card" list, and it's worth addressing directly: Canva is a design tool, not a group card platform. You can create a beautiful card design in Canva using their extensive template library, but there's no built-in way for a group of people to add their individual messages to it.

The typical Canva workflow for a group card is: one person designs the card, then either manually copies in messages they collected via Slack/email, or shares an editable link where people can type directly on the canvas (which usually turns into a formatting disaster). There's no signing link, no message privacy, no delivery mechanism.

Where Canva shines is if you need a completely custom design — your company's brand colors, a specific layout, a photo collage. The free tier is genuinely generous for design features, and Canva Pro unlocks even more. But for the specific use case of "I need 15 people to sign a card by Friday," Canva creates more work than it saves.

#### Strengths

-   Total design freedom
-   Massive template library
-   Free tier is very generous
-   Good for custom/branded designs

#### Limitations

-   No group signing feature
-   No signing link or delivery
-   Requires design skill to look good
-   Manual message collection needed

## Feature comparison at a glance

Here's how the 7 platforms stack up on the criteria that matter most for workplace group cards:

Platform

Free Tier

Group Signing

Media

Delivery

Pricing

**Culture Cards**

Unlimited cards & signers

Yes, no account needed

GIFs/images (premium)

Link (free), email (premium)

Free / $5.99 premium

**Thankbox**

Limited (watermark)

Yes, no account needed

Photos, GIFs

Link and email

From £4.99/card

**Kudoboard**

10 posts max

Yes, no account needed

Photos, GIFs, videos

Link, email, PDF

From $5.99/board

**GroupGreeting**

No real free tier

Yes

Photos

Email, scheduled

$5–7/card

**Paperless Post**

Some free designs

Limited

Design-only

Email

Coin system (varies)

**EcardWidget**

Basic free

Yes

Limited

Link

Free / paid tiers

**Canva**

Generous for design

No

Full design tools

Manual (no built-in)

Free / Pro $12.99/mo

### The bottom line on "group card free"

If your definition of a free group card is "I can create a card, get my whole team to sign it, and share it with the recipient without paying anything," then [Culture Cards](https://jobsbyculture.com/culture-cards) and EcardWidget are the only platforms on this list that fully qualify. Every other group ecard platform either caps signers, adds watermarks, or requires payment before delivery.

## Which group card platform should you pick?

It depends on what you need:

-   **Best overall free group card:** [Culture Cards](https://jobsbyculture.com/culture-cards) — free unlimited signing with no catches, built specifically for work occasions
-   **Best for collecting group gifts:** Thankbox — the gift collection feature is genuinely useful for farewells and retirements
-   **Best for large teams (20+ signers):** Kudoboard — the board format scales well, though you'll need to pay past 10 posts
-   **Best group ecard templates:** GroupGreeting — widest selection of professional designs, but no free option
-   **Best for special occasions:** Paperless Post — unmatched design quality for high-profile events
-   **Best for simplicity:** EcardWidget — no frills, just gets it done
-   **Best for custom design:** Canva — when you need full creative control (but not group signing)

For most workplace teams that send free group cards regularly — [group birthday cards](https://jobsbyculture.com/culture-cards/birthday), anniversaries, welcomes, [farewell cards](https://jobsbyculture.com/culture-cards/farewell) — a platform with a genuinely free tier and minimal friction for signers will get the most use. If people have to create accounts or if the organizer has to pay $5-7 every time, the tradition dies out after the third card.

## Frequently Asked Questions About Group Ecards

Are group ecards really free?+

It depends on the platform. Most group card tools advertise a free tier but limit the number of signers, posts, or features. [Culture Cards](https://jobsbyculture.com/culture-cards) lets you create cards and collect unlimited signatures for free. Premium features like GIF uploads and email delivery cost $5.99 per card. Other platforms like Kudoboard cap free boards at 10 posts, and GroupGreeting has no real free tier at all.

How do I create a group card online?+

To [create a group card online](https://jobsbyculture.com/culture-cards/create), go to a platform like Culture Cards, pick an occasion (birthday, farewell, etc.), choose a theme, and click Create. You'll get a unique signing link to share with your team via Slack, email, or any messenger. Each person adds their message — no account needed. Once everyone has signed, share the finished card with the recipient.

Do signers need to create an account?+

On most platforms, no. Culture Cards, Kudoboard, and Thankbox all let signers add their message without creating an account. The organizer typically needs an account to create the card, but signers just need the link. This is important — requiring account creation is the fastest way to lose half your signers.

Can I add a GIF to a group greeting card?+

Yes, most platforms support GIFs in group greeting cards, though it's often a paid feature. [Culture Cards](https://jobsbyculture.com/culture-cards) supports GIF and image uploads on premium cards ($5.99). Kudoboard and Thankbox support GIFs on their paid tiers. Canva lets you design with images but doesn't support group signing at all. If media is important to you, check whether it's included in the free tier before committing.

What occasions can I use a group card for at work?+

The most common workplace occasions are birthdays, work anniversaries, farewells, congratulations (promotions, new roles), welcome messages for new hires, thank-you cards, get well soon, retirement, holiday greetings, and baby showers. [Culture Cards](https://jobsbyculture.com/culture-cards/create) offers templates for all 12 of these occasions plus a custom option for anything else.

What is the best free group birthday card platform?+

[Culture Cards](https://jobsbyculture.com/culture-cards/birthday) is the best free group birthday card platform. You can create unlimited birthday cards with unlimited signers at no cost. Signers don't need an account — just a link. Premium features like GIFs and email delivery are $5.99 per card.

Can I send a group leaving card online for free?+

Yes. [Culture Cards](https://jobsbyculture.com/culture-cards/farewell) lets you create a free group leaving card online — choose the Farewell occasion, pick a theme, and share the signing link with your team. There are no signer limits and no watermarks on the free tier. If you want to add GIFs or send by email, the premium option is $5.99.

What is the difference between a group ecard and a digital group card?+

A group ecard and a digital group card are the same thing — an online card that multiple people can sign. The term "ecard" (electronic card) emphasizes the digital format, while "group card" emphasizes the collaborative signing. Both refer to platforms where you share a link, your team adds messages, and the recipient views everything in one place.

What is a group greeting card?+

A group greeting card is a digital card that multiple people can sign online. Instead of passing a physical card around the office, you create a card on a platform like [Culture Cards](https://jobsbyculture.com/culture-cards), share a signing link, and everyone adds their message from wherever they are. The finished group greeting is then shared with the recipient as a single card with all messages collected in one place.

How do I send a free group greeting?+

To send a free group greeting, go to a platform like [Culture Cards](https://jobsbyculture.com/culture-cards/create), choose an occasion (birthday, farewell, thank you, etc.), pick a theme, and click Create. You’ll receive a unique signing link to share with your team via Slack, email, or any messenger. Each signer adds their message without needing an account. Once everyone has signed, share the finished group greeting card with the recipient — completely free.

### Create a Free Group Card Now

Send a free group ecard in 30 seconds. Unlimited cards, unlimited signers, no account needed to sign. Choose from birthdays, farewells, and 10 more occasions.

[Create a Free Group Card Now →](https://jobsbyculture.com/culture-cards/create) [Learn more about Culture Cards →](https://jobsbyculture.com/culture-cards)

---

## Document: GitLab Compensation in 2026: Salary, RSUs, Benefits & the Public Calculator

# GitLab Compensation in 2026: Salary, RSUs, Benefits & the Public Calculator

> GitLab engineer compensation in 2026: $117k-$310k+ total comp, public salary calculator, RSU grants, ESPP, location-based pay, and how the all-remote pioneer pays its 2,500 employees across 65+ countries.

Source: https://jobsbyculture.com/blog/gitlab-compensation-2026
Markdown: https://jobsbyculture.com/blog/gitlab-compensation-2026.md
Last updated: 2026-07-14

---
[GitLab](https://jobsbyculture.com/companies/gitlab) is a rare case in tech: a publicly traded company (NASDAQ: GTLB) that publishes its entire compensation framework in a public handbook. Salary bands, location factors, equity philosophy, promotion criteria — it's all available for anyone to read before they even apply. No other company of GitLab's size does this.

That radical [transparency](https://jobsbyculture.com/values/transparent) makes GitLab one of the most interesting compensation case studies in the industry. Combined with its all-[remote](https://jobsbyculture.com/values/remote) structure — 2,500 employees across 65+ countries — GitLab's comp strategy involves challenges that most companies never face: how to pay fairly across wildly different cost-of-living markets while remaining competitive for top talent. Here's how it works in 2026.

$215k

Median SWE Total Comp (US)

$955M

FY2026 Revenue

2,500+

Employees (65+ countries)

## How GitLab's Compensation System Works

GitLab structures compensation around three components: base salary (via Total Target Cash), equity (RSUs + ESPP), and benefits. What makes the system unusual isn't the components — it's the methodology.

### Base Salary & Total Target Cash

Base salaries are benchmarked using external compensation data from Radford, with most roles targeted at or above the 50th percentile of the software market. Critical technical roles — the kind that keep GitLab competitive for senior engineers — are positioned closer to the 75th percentile.

For roles with variable pay (sales, customer success), GitLab uses Total Target Cash (TTC), which combines base salary plus target variable comp. The split varies by role, but the total target is set against the same external benchmarks.

The most distinctive feature is location-based pay. GitLab doesn't pay the same base salary regardless of where you live. An engineer in San Francisco will earn more than the same role in Lisbon or Nairobi. The rationale, documented extensively in their handbook, is that pay should reflect the local labor market while remaining competitive within it. GitLab benchmarks against the 50th–75th percentile of _each local market_, not against a single global number.

#### The Location Factor Trade-Off

Location-based pay is controversial. Critics argue it penalizes people for where they live. GitLab's counter: an engineer earning $180k in Lisbon captures far more purchasing power than one earning $250k in San Francisco. The company targets competitive local pay — meaning you should be among the best-paid engineers in your city, even if the number is lower than a Bay Area peer. Whether this philosophy works for you depends on where you live and what you optimize for.

### Equity: RSUs & ESPP

As a publicly traded company, GitLab grants Restricted Stock Units (RSUs) rather than stock options. RSUs vest into real, liquid GTLB shares — you don't need to exercise anything or worry about strike prices. This matters: at a stock price of roughly $25 (as of May 2026) with a $4.3 billion market cap, RSUs represent tangible, sellable value from day one of vesting.

GitLab also offers an Employee Stock Purchase Plan (ESPP) that lets employees buy GTLB stock at a discount. For employees who believe in the company's long-term trajectory — FY2026 revenue was $955 million, up 26% year-over-year — the ESPP is a way to increase equity exposure beyond RSU grants.

The equity component is where GitLab's comp differs most from private AI startups. At companies like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai), equity is illiquid and speculative — potentially worth a fortune, or potentially worth much less. GitLab's RSUs are publicly traded. The upside is lower, but the downside risk is also dramatically smaller. For risk-averse engineers who've been burned by startup equity that never materialized, this is a meaningful advantage.

## Software Engineer Compensation by Level

Based on verified compensation data across our research, here's what GitLab software engineers earn in the US in 2026:

Level

Base Salary

Total Comp (incl. equity)

Junior (IC1–IC2)

$100k – $140k

$117k – $170k

Mid-Level (IC3)

$130k – $170k

$160k – $215k

Senior (IC4)

$155k – $200k

$200k – $270k

Staff (IC5+)

$180k – $235k

$250k – $310k+

_Note: These are US-based figures. International compensation varies based on GitLab's location factors. Actual offers depend on experience, scope, and the specific team._

How does this compare? GitLab's total comp is competitive for a DevSecOps platform company but sits below the highest-paying AI companies. For context:

-   [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026) senior engineers: $300k–$490k total comp
-   [Stripe](https://jobsbyculture.com/blog/stripe-compensation-2026) senior engineers: $280k–$400k+ total comp
-   [Databricks](https://jobsbyculture.com/blog/databricks-compensation-2026) senior engineers: $250k–$420k total comp
-   **GitLab** senior engineers: $200k–$310k+ total comp

The gap is real. But GitLab offers something those companies don't: full remote work from 65+ countries, [async-first](https://jobsbyculture.com/values/async) culture, and the ability to live where you choose. An engineer earning $250k from a small city in Colorado or Portugal captures more purchasing power than one earning $350k in San Francisco while commuting to an office. The comp comparison only makes sense when you factor in the lifestyle GitLab enables.

## The Public Compensation Calculator

GitLab's most unusual feature is its compensation calculator, published openly in the company handbook. You can look up the expected salary range for any role, at any level, in any supported location — before you apply.

This changes the negotiation dynamic entirely. At most companies, candidates go in blind, trying to guess the range or leverage competing offers to establish a floor. At GitLab, the bands are public. You know what the role pays before the first call. What's left to negotiate is your level — whether you come in as a Senior or Staff, IC4 or IC5 — and the equity component within the band.

Employee Pro "The transparent compensation model means no surprises — you know exactly where you stand and there's no politics around pay"

The calculator also reduces internal pay inequity. When everyone can see the bands, it's harder for managers to give one person a significantly better deal than a peer in the same role. GitLab conducts annual pay equity audits to catch and fix discrepancies.

The downside? Transparency can create frustration when your comp is at the low end of a band and you can see exactly how far away the top is. Some employees report that the structured system leaves less room for exceptional performers to negotiate outsized packages. If you're the kind of engineer who expects to earn well above band because of your track record, GitLab's system may feel constraining.

Employee Con "Structured pay bands mean limited room for negotiation — the calculator is what the calculator is"

## Benefits & Perks

GitLab's benefits are designed for a globally distributed workforce. The core package includes:

-   **Health insurance** — comprehensive medical, dental, and vision coverage (US). Country-specific plans for international employees.
-   **401(k) matching** — with company match for US-based employees.
-   **Equity** — RSU grants with vesting schedules, plus ESPP at a discount.
-   **Unlimited PTO** — with genuine encouragement to use it. GitLab tracks usage patterns to identify burnout risk.
-   **Home office stipend** — since every employee is remote, GitLab provides budget for setting up your workspace.
-   **Coworking reimbursement** — if you prefer working from a shared space rather than home.
-   **Growth & development budget** — annual stipend for conferences, courses, books, and professional development.
-   **Parental leave** — generous leave for both parents.
-   **Mental wellness support** — including counseling and mental health resources.

The benefits are solid but not the lavish perks you'd find at companies like [Stripe](https://jobsbyculture.com/companies/stripe) or [Airbnb](https://jobsbyculture.com/companies/airbnb). GitLab's philosophy is to pay competitively and let employees allocate their own lifestyle spending rather than providing on-site meals and gyms that only work if you're in an office.

## What Employees Say About Comp

GitLab has a 3.9 Glassdoor rating from 700+ reviews. Compensation and benefits are generally rated positively, though with caveats. Here's the consistent feedback:

Employee Pro "Best-in-class all-remote culture — the work-life balance and flexibility are worth more than any salary premium at an office-bound company"

Employee Pro "Radically transparent pay means no games, no lowball offers, no wondering if your colleague doing the same job earns 30% more"

Employee Con "Location-based pay means earning less than peers at competing companies who are fully remote but pay SF rates"

Employee Con "Stock performance has been rough — GTLB well off highs, making RSU grants feel less meaningful"

The stock performance concern is worth addressing. GTLB traded above $130 in late 2021 before the broader tech correction. At roughly $25 per share in May 2026, employees who received RSU grants at higher prices have seen the equity portion of their comp decline significantly. For new hires, the current price means your RSU grants are based on the lower valuation — which creates more upside if the stock recovers but less immediate value than a grant would have been two years ago.

GitLab's revenue grew 26% year-over-year to $955 million in FY2026, which suggests the underlying business is healthy. Whether the stock reflects that growth trajectory is a market question, not a compensation question — but it affects how employees feel about their total comp.

## Should You Optimize for GitLab Comp?

GitLab's compensation is not the highest in tech. It's not designed to be. The company competes on a different axis: radical [transparency](https://jobsbyculture.com/values/transparent), all-[remote](https://jobsbyculture.com/values/remote) flexibility, [async-first](https://jobsbyculture.com/values/async) work, and the ability to live wherever you want in 65+ countries.

This works exceptionally well for:

-   **Engineers in lower-cost cities** who want competitive local pay without relocating to SF or NYC.
-   **People who value transparency** and want to know exactly what they'll earn before applying.
-   **Caregivers and parents** who need genuine schedule flexibility, not just "unlimited PTO" that no one uses.
-   **International engineers** who want to work for a US-listed tech company from their home country.
-   **[Open-source](https://jobsbyculture.com/values/open-source) enthusiasts** who want their work to be visible and impactful in the broader developer community.

It works less well for engineers who optimize purely for total comp numbers. If your priority is maximizing TC, companies like [Anthropic](https://jobsbyculture.com/companies/anthropic), [OpenAI](https://jobsbyculture.com/companies/openai), [Stripe](https://jobsbyculture.com/companies/stripe), or [Databricks](https://jobsbyculture.com/companies/databricks) will pay meaningfully more — but they'll also require you to be in an office (or at least a major city). The question isn't whether GitLab pays enough; it's whether the lifestyle it enables is worth more to you than the comp premium elsewhere.

## Open Positions at GitLab

GitLab currently has **165 open roles** across engineering, product, sales, and operations — all remote. If the transparent comp model, [async](https://jobsbyculture.com/values/async) culture, and genuine location flexibility appeal to you, browse the [GitLab culture profile](https://jobsbyculture.com/companies/gitlab) for the full picture.

## Frequently Asked Questions About GitLab Compensation

How much do GitLab software engineers make in 2026?+

GitLab software engineers in the US earn between $117k and $310k+ in total compensation, with a median of approximately $207k–$215k. Total comp includes base salary, RSU grants, and ESPP. Senior and staff engineers at the higher end of the range can exceed $300k when equity is included. International comp varies by location factor.

Does GitLab adjust pay by location?+

Yes. GitLab uses location-based compensation factors calibrated to local labor markets. An engineer in San Francisco earns more in absolute terms than the same role in Lisbon, but GitLab targets competitive pay within each local market (50th–75th percentile). The rationale is that local purchasing power matters more than the raw number on your paycheck.

Does GitLab give RSUs or stock options?+

GitLab grants RSUs (Restricted Stock Units) as the primary equity vehicle. As a publicly traded company (NASDAQ: GTLB, ~$25/share as of May 2026), RSUs vest into real, liquid shares with no exercise cost. GitLab also offers an ESPP that lets employees buy GTLB stock at a discount.

Is GitLab's compensation calculator really public?+

Yes. GitLab publishes its compensation calculator and full pay framework in its public handbook. You can look up expected salary ranges for any role, level, and location before applying. This is unmatched transparency in the industry. The calculator is available at handbook.gitlab.com.

How does GitLab compensation compare to other DevOps companies?+

GitLab's total comp ($117k–$310k) is competitive for a DevSecOps company but below top AI companies like [Anthropic](https://jobsbyculture.com/companies/anthropic) ($300k–$490k) or [Stripe](https://jobsbyculture.com/companies/stripe) ($280k–$400k+). However, GitLab offers something most can't: full remote from 65+ countries with radical transparency and genuine async culture. The comp comparison only makes sense when you factor in the lifestyle and location flexibility.

What benefits does GitLab offer?+

GitLab offers health insurance, 401(k) matching (US), RSUs + ESPP, unlimited PTO with usage tracking, home office stipend, coworking reimbursement, annual growth & development budget, generous parental leave, and mental wellness support. Benefits are designed for a globally distributed workforce and vary by country.

### Explore GitLab's 165 open roles

See all GitLab positions alongside 13,906 jobs from 118 companies — all with culture and compensation context.

[View GitLab Profile →](https://jobsbyculture.com/companies/gitlab) [Browse GitLab Jobs →](https://jobsbyculture.com/jobs?company=gitlab)

---

## Document: Glean Salary 2026: $194K–$401K TC, Series F Equity & How It Compares

# Glean Salary 2026: $194K–$401K TC, Series F Equity & How It Compares

> Glean compensation in 2026: $194K-$401K total comp for engineers, with Series F RSUs at a $7.2B valuation. Real comp data by level, RSU vesting, benefits, and how it compares to Google, Databricks, Notion, and OpenAI.

Source: https://jobsbyculture.com/blog/glean-compensation-2026
Markdown: https://jobsbyculture.com/blog/glean-compensation-2026.md
Last updated: 2026-07-14

---
If you are reading this in 2026, there is a very good chance you are in the middle of evaluating a Glean offer against another one. Maybe Google, where the founders worked. Maybe [Databricks](https://jobsbyculture.com/companies/databricks), where the comp math goes higher. Maybe [OpenAI](https://jobsbyculture.com/companies/openai) or [Anthropic](https://jobsbyculture.com/companies/anthropic), where the equity story is a different kind of bet entirely.

Glean is one of the most interesting offers a senior engineer can hold in 2026. The company is at $100M+ ARR. Its [Glean culture profile](https://jobsbyculture.com/companies/glean) on JBC shows a 4.2 Glassdoor rating — high. Its Series F closed at a $7.2B valuation in June 2025, led by Wellington Management with Sequoia, Kleiner Perkins, Lightspeed, Coatue, and ICONIQ rolling over. But the comp rating on Glassdoor is 3.6 — the gap between Glean's brand strength and its cash comp is the whole story of this article.

Below is what Glean actually pays in 2026, broken down by level, with the Series F equity mechanics, the benefits picture, and a side-by-side against Google, Databricks, [Notion](https://jobsbyculture.com/companies/notion), and the frontier AI labs. The question this article tries to answer: when does Glean's package actually pencil out, and when should you take the other offer?

## Glean at a Glance

Founded

2019

Headquarters

Palo Alto, CA

CEO & Co-founder

Arvind Jain (ex-Google Distinguished Eng, ex-Rubrik)

Company Size

~1,475 employees

ARR

$100M+

Last Valuation

$7.2B (Series F, June 2025)

Total Funding

~$618M+

Median SWE TC (US)

$222K

Median SWE TC (SF Bay)

$278K

Median SWE TC (all levels)

$306K

Glassdoor Overall

4.2 / 5.0

Glassdoor Comp & Benefits

3.6 / 5.0

The contrast in those last two rows is the entire article in two numbers. Engineers love working at Glean (4.2 overall). They are mixed on what it pays (3.6 comp). Both of those signals are true and they coexist for an interesting reason.

## Glean Salary by Level (2026)

Glean uses a small-numbered ladder typical of enterprise startups. L3 is mid-level, L4 is senior, L5 is staff or staff-equivalent. The numbers below are medians from verified compensation reports as of May 2026.

Level

Total Comp (Median)

Base

Annual Equity

L3 — SWE II

$194K

~$165K

~$25K

L4 — Senior SWE

$283K

~$215K

~$60K

L5 — Staff SWE

$401K

~$235K

~$160K

L5+ — Senior Staff / Principal

$450K–$574K

~$250K

~$200K+

Engineering Manager (Senior)

Up to $1.0M

~$280K

~$400K+ (with bonus)

A representative recent senior-level offer that surfaced in 2026 reporting: **$440K total compensation** for a Senior Software Engineer in Palo Alto — $230K base, $187K annual RSU equivalent, and a $20K signing bonus. That's a clean number to anchor on for L5 negotiations.

Two patterns stand out. First, the L3-to-L5 jump is steep — $194K to $401K is a 2x multiple, larger than the typical FAANG ladder. Glean rewards senior ICs aggressively. Second, the equity-as-percent-of-comp climbs sharply with level. At L3, equity is ~13% of TC. At L5, equity is ~40%. At L5+/EM, equity becomes the majority of total comp. That has implications for liquidity and risk that we'll get to.

## Series F Equity: What You're Actually Getting

Glean's June 2025 Series F priced the company at $7.2B. That's a 3.2x jump from the September 2024 Series E at $2.2B — one of the steepest valuation accelerations in enterprise AI in 2025. Wellington Management led; the round added Khosla Ventures, Bicycle Capital, Geodesic Capital, and Archerman Capital alongside existing investors Sequoia, Kleiner Perkins, ICONIQ, IVP, Coatue, DST Global, Lightspeed, Sapphire, Latitude, General Catalyst, Citi, and Capital One Ventures.

How Glean's RSUs Work

Glean grants RSUs valued at the most recent preferred-share price (currently the Series F price). Standard four-year vesting, one-year cliff, quarterly thereafter. RSUs are taxed at vest as ordinary income at the most recent 409A valuation, which for private companies typically runs below the preferred price. There is no public trading market; liquidity depends on a future IPO, acquisition, or a company-facilitated secondary sale.

For a Senior Engineer hire at $440K TC ($187K annual equity), four years of vesting nets approximately $750K in equity at current valuation, assuming no further refresh. If Glean reaches an IPO at $15B (a 2x from current), that grant doubles. At $30B (a 4x), it quadruples. At a flat or down round, you keep the equity but the value compresses.

Two practical risks worth pricing in. First, illiquidity: most engineers won't be able to sell shares until a liquidity event, which means a multi-year wait. Second, dilution from future rounds — standard but worth modeling if you're optimizing your offer.

## Why "Comp Is Below Market" Shows Up in Reviews

Glassdoor employees rate Glean's Compensation & Benefits at 3.6/5 despite a 4.2 overall company rating. The gap is real, and it has a clean explanation.

Glean's typical senior hire is an ex-Google, ex-Meta, or ex-Stripe engineer. The reference point is whatever they were earning at their last public-company job. At Google L5, total comp typically lands around $455K. At Meta E5, it's $480K+. At Stripe L5, recent verified data puts the band closer to $500K. Glean's L5 median of $401K is below all three of those.

That said, the framing of "below market" depends entirely on which market you mean. Compared to FAANG public-company cash equivalents, Glean is below. Compared to most mid-stage Series F enterprise startups, Glean is above. The Glassdoor 3.6 reflects the FAANG comparison, not the broader startup comparison.

## How Glean Comp Compares to Peers

Here's a side-by-side at the L5 / senior-engineer level — the cleanest comparison point, since it's where most candidates choose between offers.

Company

L5 / Senior TC (Median)

Liquidity

Google L5

~$455K

Public — liquid quarterly

Meta E5

~$480K

Public — liquid quarterly

[Databricks](https://jobsbyculture.com/companies/databricks) Senior SWE

~$500K

Pre-IPO — tender offers periodically

[Stripe](https://jobsbyculture.com/companies/stripe) L5

~$500K

Pre-IPO — tender offers periodically

[OpenAI](https://jobsbyculture.com/companies/openai) Member of Technical Staff

~$550K

Pre-IPO — tender offers

[Anthropic](https://jobsbyculture.com/companies/anthropic) ML Engineer

~$525K

Pre-IPO — tender offers

**Glean L5**

**~$401K**

Pre-IPO — no tender announced

[Notion](https://jobsbyculture.com/companies/notion) Senior SWE

~$380K

Pre-IPO

[Cohere](https://jobsbyculture.com/companies/cohere) Senior MTS

~$350K

Pre-IPO

Glean's L5 sits below FAANG public-company comp and below the top pre-IPO peer set. It sits above Cohere and roughly even with Notion. For engineers comparing offers from this band, the differentiator is rarely the cash number alone — it's the velocity of valuation growth (Glean's 3.2x in nine months between Series E and F is striking) and the technical work.

## Benefits & Total Package

Glean's benefits package is competitive but not headline-setting. Comprehensive medical, dental, vision, 401(k) (match terms unpublicized), paid parental leave, learning stipends, and a flexible PTO policy on paper. Employees report that PTO is genuinely usable for engineers, more variable for sales.

$7.2B

Series F Valuation

3.2x

Valuation Jump (E→F, 9 months)

$401K

L5 Median TC

The Palo Alto HQ implies in-office expectations for most engineering roles. Hybrid is real for some product and design teams; remote-eligible roles exist but are exceptions. For candidates outside the Bay Area, modeling the cost-of-living adjustment alongside the cash gap is the most useful exercise.

## When Glean's Package Actually Pencils Out

Glean is a strong financial bet in three specific scenarios, and a weak one in others. Honest framing:

### When the math works

-   **You believe Glean reaches a $15B+ valuation in three to five years.** Equity is the lever, and the company is growing into it. ARR past $100M and the steep valuation jump suggest this is plausible — not guaranteed.
-   **You're choosing between Glean and a mid-stage startup that pays similar cash.** Against Notion, Cohere, or many post-Series C startups, Glean's package and growth trajectory are competitive. Against a FAANG offer with public liquidity, Glean is the riskier bet.
-   **The work matters more than the cash delta.** Glean's engineering profile — enterprise search, retrieval, agentic AI on real customer data — is genuinely hard and growing in industry importance. If the technical problem space is where you want to invest the next four years, the cash gap may be worth it.

### When the math doesn't

-   **You need liquidity within two years.** Pre-IPO startups don't guarantee tender offers; Glean has not announced one. If you have life events that require cash predictability, take the public-company offer.
-   **You're optimizing peak total comp.** Frontier labs (OpenAI, [Anthropic](https://jobsbyculture.com/companies/anthropic)) and large public companies ([Databricks](https://jobsbyculture.com/companies/databricks), FAANG) pay more cash today. If TC is the dominant variable, Glean is not the top of the band.
-   **You want headline base salary.** Glean's base sits in the $215K–$250K band for senior engineers. FAANG and frontier labs are $50K–$100K higher.

## How to Negotiate a Glean Offer

Three concrete levers that have worked for candidates negotiating with Glean in 2026:

1.  **Push on the equity component.** Glean's leverage in negotiation is its equity, and the recruiting team can usually move the equity grant 15–30% with a competing offer. Cash base is harder to move.
2.  **Use a comparable pre-IPO offer as the anchor.** A live Stripe, OpenAI, or Databricks offer moves Glean's package more than a hypothetical Google one. Pre-IPO recruiters compare to pre-IPO recruiters.
3.  **Negotiate the signing bonus separately.** The $20K signing in the published L5 offer suggests they have room there. A senior candidate with a competing offer can often push signing to $40K–$50K to bridge cash gaps in year one.

For broader negotiation tactics across the AI hiring market, our [highest-paying AI companies](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) ranking and [AI engineer salary guide by level](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026) are the most useful references.

## Frequently Asked Questions About Glean Compensation

What is the average salary at Glean in 2026?+

The median total compensation for a software engineer at Glean is approximately $306K per year according to verified salary data. Total comp ranges from $194K at L3 (mid-level) to $401K at L5 (staff). The company-wide median across all roles is $207K. In the SF Bay Area specifically, the median engineer comp is approximately $278K.

What kind of equity does Glean give employees?+

Glean grants employees pre-IPO RSUs at the company's current valuation of $7.2B, set during its Series F round in June 2025. Vesting is on a standard four-year schedule with a one-year cliff. Glean has grown ARR past $100M and has not announced IPO plans, so equity is illiquid until a future liquidity event or secondary sale.

How much does a Glean senior software engineer make?+

A Senior Software Engineer (L5) at Glean earns approximately $401K median total compensation. A representative recent offer was $440K total: $230K base salary, $187K in annual RSU grants, and a $20K signing bonus. The highest reported Glean engineer total comp is around $574K. For Engineering Managers, total comp can reach $1.0M including bonus.

Does Glean pay more than Google or Databricks?+

Glean's L5 senior engineer comp (~$401K) is below Google L5 (~$455K) and Databricks senior engineer (~$500K+). However, Glean's pre-IPO RSU upside at a $7.2B valuation can outweigh the base/RSU gap if the company achieves a higher valuation at IPO. The trade-off is illiquidity and concentration risk.

Why is Glean's comp rated only 3.6 on Glassdoor?+

Despite a 4.2 overall Glassdoor rating, employees rate Compensation & Benefits at 3.6 because Glean's cash compensation runs below FAANG and large-cap public companies. Engineers who left Google or Meta to join Glean often take a base pay cut in exchange for higher-upside equity. The "below market" framing reflects this expectation gap rather than absolute pay.

What benefits does Glean offer?+

Glean offers comprehensive benefits including full medical, dental, and vision coverage, 401(k), generous PTO, paid parental leave, learning and development stipends, and equity. The company is HQ'd in Palo Alto with a hybrid culture; most engineering roles require regular in-office presence.

### See Glean's 132 open roles — with culture & comp context

Compare Glean alongside [Databricks](https://jobsbyculture.com/companies/databricks), [Notion](https://jobsbyculture.com/companies/notion), and other AI peers with verified Glassdoor data and Series-stage comp benchmarks.

[View Glean Jobs →](https://jobsbyculture.com/jobs?company=glean) [Read Full Profile →](https://jobsbyculture.com/companies/glean)

---

## Document: Glean Glassdoor Reviews Decoded 2026: What 92 Employees Really Say | JobsByCulture

# Glean Glassdoor Reviews Decoded 2026: What 92 Employees Really Say | JobsByCulture

> Glean

Source: https://jobsbyculture.com/blog/glean-glassdoor-reviews-2026
Markdown: https://jobsbyculture.com/blog/glean-glassdoor-reviews-2026.md
Last updated: 2026-07-14

---
Glean builds AI-powered enterprise search and assistants, and is one of the category leaders. CEO Arvind Jain is an ex-Google distinguished engineer who previously co-founded Rubrik — the leadership pedigree is a recurring theme in reviews.

Glean lands at 3.8 overall on Glassdoor across 92 reviews, with a notably balanced profile: career growth, culture, and work-life balance all cluster in the high-3s to 4.0 range — unusual for a fast-growing AI company. The one consistent friction point is compensation relative to its frontier-AI peers, and it's worth taking seriously.

Below is the full breakdown, cross-referenced against our [Glean culture profile](https://jobsbyculture.com/companies/glean). Every figure here was checked against Glassdoor's own page this cycle — we don't recycle stale numbers, and we don't invent sub-scores that aren't published.

## The Numbers at a Glance

3.8 / 5.0

Overall Glassdoor Rating — 92 Reviews

Career Opportunities 4.0

Work-Life Balance 3.9

Culture & Values 3.9

Compensation & Benefits 3.6

Metric

Detail

Overall Rating

3.8 / 5.0

Total Reviews

92

Recommend to a Friend

75%

Highest Sub-Score

Career Opportunities (4.0)

Lowest Sub-Score

Compensation & Benefits (3.6)

## How to Read Glean's 3.8 Rating

A single number hides as much as it reveals. Glean's 3.8 puts it comfortably above the middle of the pack. Across the companies we've verified directly on Glassdoor this cycle, 1 of 3 rate higher. The more useful signal is the _shape_ of the scores — where the gap between the highest and lowest sub-score tells you what kind of trade-off you're signing up for. We re-verify every figure against Glassdoor's own page rather than recycling cached numbers, because review-based ratings drift as volume grows.

## What Employees Love (The Pros)

The positive themes across Glean's reviews are consistent. Here's what comes up most often.

### 1\. A genuinely balanced culture and work-life balance

What employees value A genuinely balanced culture and work-life balance

Unusually for a company growing this fast, Glean's Work-Life Balance (3.9) and Culture & Values (3.9) both score well. Reviewers describe a respectful, collaborative, product-focused environment rather than a permanent crunch — a real differentiator in the AI sector.

### 2\. Strong career opportunities

What employees value Strong career opportunities

Career Opportunities is the highest verified sub-score at 4.0/5. Employees cite real growth paths and the momentum of a category-leading enterprise-search product that's expanding quickly into enterprise accounts.

### 3\. World-class talent and ex-Google leadership

What employees value World-class talent and ex-Google leadership

Reviewers repeatedly point to the caliber of the team and the leadership pedigree — CEO Arvind Jain is a former Google distinguished engineer and Rubrik co-founder. For people who want to learn from operators who've built at scale, that's a draw.

### 4\. A category-leading product

What employees value A category-leading product

Glean is widely regarded as a leader in AI enterprise search. Working on a product with clear market traction and real enterprise customers is a consistent source of satisfaction in reviews.

## What Employees Warn About (The Cons)

No workplace is perfect. These are the recurring criticisms in Glean's reviews — the things worth pressure-testing in your interview.

### 1\. Compensation lags the frontier-AI market

What employees flag Compensation lags the frontier-AI market

Compensation & Benefits is the lowest verified sub-score at 3.6/5, and multiple reviews say pay and equity sit below market for the hyper-competitive AI sector. This is the single most consistent criticism — negotiate hard and scrutinize the equity.

### 2\. Sales-org friction

What employees flag Sales-org friction

Some reviews flag churn and culture problems specifically within the sales organization (reported across EMEA and the US). The engineering and product experience reads more positively than the GTM side in the review corpus.

### 3\. Standard high-growth growing pains

What employees flag Standard high-growth growing pains

A 75% recommend rate is solid but not exceptional. As with any company scaling quickly, some reviewers note the usual friction around process clarity and evolving structure.

## What About Compensation?

Compensation scores 3.6/5 on Glassdoor for Glean — solid but not top-of-market. For the full numbers — base, equity, and how packages compare to peers — see our [Glean compensation breakdown](https://jobsbyculture.com/blog/glean-compensation-2026) and our full [guide to working at Glean](https://jobsbyculture.com/blog/working-at-glean-2026).

## How Glean Compares

Here's Glean against the other companies we've verified directly on Glassdoor this cycle. Ratings move as review volume grows, so treat this as a snapshot, not a permanent ranking.

Company

Glassdoor Rating

[Ramp](https://jobsbyculture.com/companies/ramp)

4.2 / 5.0

Glean (this page)

3.8 / 5.0

[Scale](https://jobsbyculture.com/companies/scale)

3.6 / 5.0

[Cohere](https://jobsbyculture.com/companies/cohere)

3.0 / 5.0

For the full landscape, browse our [culture directory of 118 companies](https://jobsbyculture.com/companies) or [compare any two cultures side by side](https://jobsbyculture.com/compare).

## Who Should (and Shouldn't) Apply

**A strong fit:** Glean is a strong pick if you value a balanced, collaborative culture and clear growth at a category-leading AI product — the 3.9 WLB and 4.0 career scores back that up across 92 reviews.

**Think twice if:** If top-of-market cash and equity are your priority, the verified 3.6 compensation sub-score and consistent below-market feedback mean you should negotiate aggressively and weigh higher-paying frontier labs.

## Questions to Ask in Your Glean Interview

The cons above aren't reasons to walk away — they're reasons to ask sharper questions. Use these to pressure-test whether the trade-offs apply to the specific team you'd join:

-   How does Glean benchmark compensation and equity against frontier-AI peers, and how often is it refreshed?
-   What does the equity package look like in concrete terms, and what's the current valuation context?
-   How does culture and retention differ between the engineering/product orgs and the sales org?

## Frequently Asked Questions

What is Glean's Glassdoor rating in 2026?+

Glean has a 3.8 out of 5.0 Glassdoor rating based on 92 employee reviews. Verified sub-scores: Career Opportunities 4.0/5, Work-Life Balance 3.9/5, Culture & Values 3.9/5, Compensation & Benefits 3.6/5, and 75% of employees recommend working there. See our full [Glean culture profile](https://jobsbyculture.com/companies/glean).

Is Glean a good place to work?+

Glean is a strong pick if you value a balanced, collaborative culture and clear growth at a category-leading AI product — the 3.9 WLB and 4.0 career scores back that up across 92 reviews. If top-of-market cash and equity are your priority, the verified 3.6 compensation sub-score and consistent below-market feedback mean you should negotiate aggressively and weigh higher-paying frontier labs.

What is work-life balance like at Glean?+

Glean's work-life balance is rated 3.9/5 on Glassdoor — a relative strength across 92 reviews.

How much does Glean pay?+

For a full breakdown of base salary, equity, and total compensation at Glean, see our [Glean compensation guide](https://jobsbyculture.com/blog/glean-compensation-2026).

How does Glean compare to other AI companies?+

Compare Glean against 118 companies in our [culture directory](https://jobsbyculture.com/companies), or run a side-by-side in our [culture comparison tool](https://jobsbyculture.com/compare).

### Explore Glean on JobsByCulture

Browse open roles and dig into the full culture profile, ratings, and values.

[See Glean Culture Profile →](https://jobsbyculture.com/companies/glean) [Browse Glean Jobs →](https://jobsbyculture.com/jobs?company=glean)

### Browse 14,000+ AI & Tech Jobs

Find your next role at Glean or any of the 118 companies in our culture directory.

[Browse All Jobs →](https://jobsbyculture.com/jobs) [Explore Culture Directory →](https://jobsbyculture.com/companies)

---

## Document: How to Respond to Negative Glassdoor Reviews: The 2026 Playbook

# How to Respond to Negative Glassdoor Reviews: The 2026 Playbook

> Negative Glassdoor reviews are inevitable. How you respond to them decides whether they help or hurt your hiring pipeline. Here is the response framework, 6 real templates, and the escalation path for when a review is defamatory.

Source: https://jobsbyculture.com/blog/how-to-respond-to-negative-glassdoor-reviews-2026
Markdown: https://jobsbyculture.com/blog/how-to-respond-to-negative-glassdoor-reviews-2026.md
Last updated: 2026-07-14

---
**The short version:** every substantive Glassdoor review gets a signed, personal response within 5 to 10 business days. Never argue the facts, never identify the reviewer, never copy-paste. For defamatory reviews, escalate through Glassdoor's Employer Center rather than fighting in public. And remember: the response is not for the reviewer. It is for the 200 candidates who will read the review over the next year while deciding whether to apply.

Nobody in People or Talent Acquisition enjoys the moment they open Glassdoor and see a new 1-star review. It is emotional. It often names a real problem that leadership already knows about. And the temptation to either ignore it or fire back is huge. This guide is the antidote to both.

Every response you write on Glassdoor gets read by three audiences: the reviewer (who mostly does not care by then), your current employees (who form opinions about whether leadership is defensive or accountable), and — most importantly — every candidate who researches your company over the next 6 to 12 months. That last audience is why review response is one of the highest-ROI activities your People team does.

## Why Response Quality Matters More Than the Reviews Themselves

Candidates in 2026 assume that every company will have some negative reviews. What differentiates you is not whether the reviews exist. It is how the responses read to a candidate scanning your profile at 11pm the night before deciding whether to accept an interview slot.

1–3

Weeks: reasonable response window before candidates notice silence

100%

Of substantive reviews should get a signed, personal response

There is a specific dynamic to understand. When a candidate is choosing between two similar companies at similar comp, they will often make the tiebreaker decision based on the "how does leadership handle criticism" signal. A profile where every negative review has a defensive corporate response reads as a red flag. A profile where every negative review has a thoughtful, human, non-defensive response reads as a company that takes its people seriously. The difference between those two impressions is worth more than any single perk you could add.

## The Response Framework: What Every Response Must Do

Every strong response to a negative Glassdoor review does four things, in this order. If any of these are missing, the response reads as either dismissive or performative. Both hurt.

The 4-Part Framework

**1\. Acknowledge.** Explicitly recognize what the reviewer raised. Not "we appreciate all feedback" — that reads as generic. Name the specific concern: "Your feedback on the pace of promotion decisions is direct, and I hear it."

**2\. Contextualize (without excusing).** Give the reader — the candidate, not the reviewer — the additional context they need without arguing the reviewer's experience.

**3\. Name what is changing.** Even if it is small. Even if it is early. Never promise something you cannot deliver, but do describe the direction you are heading.

**4\. Sign it as a human.** Name and title, ideally Head of People, VP of People, or Director of Talent Acquisition. "The \[Company\] Team" signals disengagement.

Practice reading a response out loud before publishing it. If it sounds like a legal-approved corporate statement, rewrite it. If it sounds like a person who works there and cares about the culture is answering, it is ready.

## What Never to Do in a Response

Six patterns turn a negative review into a viral moment. Every one of them has burned real companies in the last year. Avoid all six:

1.  **Argue the facts of the reviewer's experience.** "That is not accurate" or "the reviewer is misrepresenting..." is the fastest way to a Reddit thread about your company. Even when you believe the reviewer is wrong, arguing publicly loses. Their experience is their experience. Address the theme, not the accuracy.
2.  **Identify the reviewer implicitly.** Naming the team, the role, the timing, or the project the reviewer worked on tells candidates that leadership figures out who wrote critical reviews. That single signal will discourage the next honest reviewer — and the candidates who see it will notice.
3.  **Promise specific outcomes you cannot deliver.** "We will fix this by end of Q3" is a hostage to fortune. Instead: "We are actively investing in this area and will continue to iterate on our approach."
4.  **Copy and paste the same response across reviews.** Candidates read multiple reviews back to back. Nothing signals disengagement faster than three responses that use identical sentences. Every substantive response needs to be personal.
5.  **Threaten legal action in the response itself.** If a review is defamatory, escalate through Glassdoor's Employer Center — never litigate in public. Legal threats in review responses always escalate the situation and are usually screenshotted onto social media within hours.
6.  **Let Legal write the response.** Responses drafted by employment counsel almost always sound like they were drafted by employment counsel. That register is exactly the wrong register for a Glassdoor response. Legal reviews for defamation risk are fine; Legal drafting is not.

## 6 Response Templates for Real Situations

Every template below is a starting point, not a final draft. Personalize the specifics, sign with your name and title, and make sure the language sounds like a human at your company, not at a generic company. Assume every response will be read by 200 candidates over the next year.

### Template 1: The "meeting-heavy pace / work-life balance" review

Thank you for taking the time to share this feedback — and for being direct about the pace and meeting load. That is real, and it is something we have been actively working on this year. We rolled out a "no-meeting Wednesday" pilot for one department in Q1 and are looking at how to extend it, and we have been transparent internally about the trade-offs of our current cadence in all-hands. None of that erases your experience of it, and I do not want to pretend otherwise. If you are open to it, I would welcome a conversation directly — my calendar link is on our team page under People.

— \[Name\], VP of People

### Template 2: The "promotion process is opaque" review

This is fair feedback, and it is one of the areas we have heard consistently. Promotion clarity was one of the top themes in our most recent engagement survey. We have started publishing our engineering leveling framework internally and are working on making the promotion criteria more transparent for each level over the next couple of quarters. There is real work still to do here, and this feedback pushes us to keep moving on it. Thank you for the candor.

— \[Name\], Head of People Operations

### Template 3: The "leadership does not listen" review

Thank you for writing this. Feedback that leadership is not listening is a serious signal, and it is one I take personally as the person responsible for how our People function operates. We have made some changes to how we run all-hands and skip-level 1:1s over the past two quarters, but I hear you that they have not fully landed. If you are willing, I would be genuinely grateful for a direct conversation — anonymously if that helps — through our People Ops inbox listed on our careers page. I read every message that comes in.

— \[Name\], Chief People Officer

### Template 4: The specific-manager complaint (unnamed)

Thank you for the feedback. Manager quality is one of the most important levers we have on the employee experience, and reviews like this tell us where to focus. We have invested significantly in manager development this year — a new manager program for first-time leads, quarterly 360 feedback for people managers, and clearer escalation paths through our People Business Partners when a specific manager relationship is not working. Those changes take time to fully land, and this feedback is a helpful reminder of why they matter. If you are still with the team and would like to raise a specific concern confidentially, our People Business Partners are the right point of contact.

— \[Name\], Director of People Operations

### Template 5: The layoff-adjacent review

Thank you for sharing this. The reduction we made this spring was one of the hardest decisions we have made as a company, and I know it affected teammates whose work I respected deeply — and colleagues who are still here. We tried to handle the transitions with care (extended severance, health coverage, and job-search support), but I recognize that no version of that process is easy. The feedback you have shared here is one of the reasons we have committed to being more transparent about our operating plan going forward — something we started this quarter in all-hands. If you are looking for support in the search, please reach out.

— \[Name\], VP of People

### Template 6: The compensation review

Thank you for sharing this feedback. Compensation is one of the most consequential decisions we make as a People team, and we take benchmarking seriously. This year we moved our engineering bands to the 65th percentile of our benchmark set and completed a full pay-equity review across levels. The bar for how we think about comp is genuinely different than it was a year ago, and the changes will keep landing over the next few review cycles. If you are still here and want to discuss your specific compensation package, please reach out to your People Business Partner — we can walk you through the framework.

— \[Name\], Director of Total Rewards

### Is your company's culture research page working as hard as your Glassdoor profile?

Candidates read your Glassdoor reviews AND third-party culture profiles when deciding whether to apply. Make sure your culture is represented accurately in both places.

[Learn More →](https://jobsbyculture.com/for-employers) [See All Companies →](https://jobsbyculture.com/companies)

## When to Escalate a Review Instead of Responding

Not every negative review deserves a public response. A small number should be escalated through Glassdoor's Employer Center for potential removal instead. The bar is high — Glassdoor protects employee speech aggressively — but the following categories legitimately qualify:

-   **Named personal attacks on non-executive employees.** Reviews that identify a specific manager, coworker, or IC by name (rather than by title or team) violate Glassdoor's community guidelines and are usually removable.
-   **Doxing or leaking confidential HR information.** Reviews that share settlement terms, disciplinary details, medical information, or other confidential HR content are actionable.
-   **Duplicated reviews.** Multiple substantively identical reviews from the same person (or clearly coordinated) can be flagged.
-   **Threats or harassment.** Direct threats against employees or the company usually qualify for removal.
-   **Reviews from someone who was never employed by you.** Reviews from candidates who interviewed but were not hired belong in the Interview Review section, not Company Reviews. Miscategorized reviews can be flagged.
-   **Reviews with clearly defamatory factual claims.** Not "the manager was a jerk" (opinion protected). "The manager committed fraud" is a factual claim that if untrue is potentially defamatory. Use with care and only after consulting legal counsel.

**What does not qualify for removal:** general negativity, unfair characterizations, one-sided narratives, reviews you disagree with, or reviews that make the company look bad. These are the reviews you respond to publicly. The escalation path is only for reviews that violate specific written guidelines, not reviews that hurt.

Use the "Flag review" function inside your Employer Center account with specific evidence of the guideline violation. If you have a Glassdoor Employer Solutions rep, escalate to them for anything more nuanced. And never — ever — threaten legal action in the review response itself. Every one of those threats that has gone viral in the past two years has damaged the company more than the underlying review ever could have.

## The Weekly Review-Response Cadence That Works

Most companies fail at review response not because they cannot write good responses, but because they do not have a cadence. Reviews pile up unanswered, then a leadership team member notices, panics, and either dumps out a batch of generic responses or over-corrects with a defensive one. Both patterns damage the brand.

The pattern that works:

1.  **Set a weekly review cadence.** Every Monday morning, a designated senior People team member (VP of People, Director of People Ops, or Head of Employer Brand) pulls the new Glassdoor reviews from the past week.
2.  **Categorize each review by theme.** Work-life balance? Leveling? Manager quality? Compensation? Layoffs? Categorization helps you spot patterns across reviews and shapes both response and internal action.
3.  **Draft responses within 5 business days.** First draft in the same session you pull the reviews. Let the drafts sit overnight if needed. Send in the following days.
4.  **Route to a second reader.** A single second reader (often the Head of People or an Employer Brand lead) reviews every response before publishing. This catches defensiveness, over-promising, and legal-adjacent risk before it goes public.
5.  **Publish. Log. Track themes.** Every response gets logged in a simple spreadsheet with the theme, response tone, and response length. Over time this becomes your data set for internal People action.
6.  **Escalate the themes to leadership monthly.** The People team is not the accountable party for solving the underlying issues raised in reviews. Leadership is. Monthly rollups — anonymized — keep the loop closed.

This process takes 60 to 90 minutes per week for a company with a normal review flow, and it is one of the highest-leverage things a People team can do for employer brand.

## What Your Response Says About Your Culture

Read your last five Glassdoor responses back-to-back. Ask an honest question: does it sound like a defensive corporate voice, or like a person who genuinely cares about the culture answering? If the honest answer is the former, that is the leading indicator of your employer brand right now — not the reviews themselves. Fix the response voice first. The rest follows.

Candidates in 2026 assume that every company has some negative reviews. They have adjusted for that. What they have not adjusted for is a company that engages with those reviews thoughtfully, in a human voice, without defensiveness. That is still rare. Which is exactly why it works so well.

Once your response practice is running, the natural next question is what candidates see about your culture beyond Glassdoor. Third-party culture profiles that aggregate reviews, work-life balance data, and salary information alongside your competitors are increasingly where the mid-funnel research happens. Companies with an active, honest presence there see meaningfully higher offer acceptance rates than companies that treat their careers page as the only source of truth.

## Frequently Asked Questions

Should we respond to every negative Glassdoor review?+

Yes, with rare exceptions. Candidates researching your company will read both the review and the response, and how a company handles criticism is often more revealing than the criticism itself. Respond to every substantive review within 5 to 10 business days. The only reviews you should escalate for removal instead of responding to are those that violate Glassdoor's community guidelines: defamation, doxing, HR-confidential detail leaks, or reviews that identify a specific person outside the executive team by name.

Who should write the response to a negative Glassdoor review?+

The response should come from a specific human voice, not a generic corporate account. Best practice is your Head of People, People Operations lead, or Talent Acquisition Director signing responses in their own name and role. Avoid generic "The \[Company\] Team" or "Employer Response" signatures for substantive reviews — they signal that nobody at the company actually engaged. For lower-touch reviews (short, non-specific), a signed People-team template works fine.

How quickly should we respond to a negative Glassdoor review?+

Within 5 to 10 business days for substantive reviews. Fast enough to signal that you actually monitor and care; slow enough to give you time to escalate internally, gather context, and craft a considered response. Responding within 24 hours risks looking reactive; waiting more than three weeks signals the response is performative rather than genuine. If a review is trending on social media or in candidate conversations, respond faster.

What should we never do when responding to a negative Glassdoor review?+

Never: (1) get defensive or argue the facts publicly, (2) identify the reviewer by hinting at role, team, or timing, (3) promise specific outcomes you cannot deliver on, (4) copy-paste the same response across multiple reviews, (5) threaten legal action in the response itself, or (6) let the response be written by legal instead of by a human People-team leader. Any of these turns a bad review into a viral moment.

Can we get a false or defamatory Glassdoor review removed?+

Sometimes, but the bar is high. Glassdoor's community guidelines allow removal for defamation, doxing, personal attacks by name, HR-confidential detail leaks, threats, and clearly duplicated reviews. General negativity, unfair characterizations, or one-sided narratives about a real workplace do not qualify. Use the "Flag review" function inside your Employer Center account with specific evidence. Escalate through your Glassdoor Employer Solutions rep if you have one. Do not threaten legal action publicly.

Do responses to negative Glassdoor reviews actually influence candidates?+

Yes, substantially. Research consistently shows that candidates weigh the presence and quality of employer responses when evaluating whether to apply. Reviews without a response signal a company that either does not monitor its employer brand or does not care. Thoughtful responses signal accountability, self-awareness, and a functional People team. In head-to-head comparisons between similar companies, response quality can be the deciding factor.

### Is your culture profile telling the whole story?

Candidates read Glassdoor AND third-party culture profiles when evaluating companies. Make sure your team's story is complete and accurate across every channel.

[For Employers →](https://jobsbyculture.com/for-employers) [Browse Companies →](https://jobsbyculture.com/companies)

---

## Document: HubSpot Compensation in 2026: Engineer Salaries, Equity & Benefits

# HubSpot Compensation in 2026: Engineer Salaries, Equity & Benefits

> HubSpot engineer compensation in 2026: $167K-$500K+ total comp by level, RSU vesting, benefits breakdown, and how it compares to Salesforce, Datadog, and other SaaS companies.

Source: https://jobsbyculture.com/blog/hubspot-compensation-2026
Markdown: https://jobsbyculture.com/blog/hubspot-compensation-2026.md
Last updated: 2026-07-14

---
[HubSpot](https://jobsbyculture.com/companies/hubspot) is one of the most unusual compensation stories in tech. It’s a $20B+ public company with nearly 9,000 employees and $3.3 billion in trailing revenue — yet it consistently ranks below the big tech companies on raw pay. Engineers at Google, Meta, or [Stripe](https://jobsbyculture.com/companies/stripe) out-earn their HubSpot counterparts by 30–50% at equivalent levels. And still, HubSpot attracts and retains strong engineering talent. The reason isn’t mysterious: HubSpot competes on total quality of life, not total comp.

This guide breaks down exactly what HubSpot pays engineers in 2026, how the equity works, what the benefits package looks like, and who the compensation model is actually right for. We pulled from verified salary data, employee reviews, and our own analysis across the [118 companies in our directory](https://jobsbyculture.com/companies).

## Compensation by Level

HubSpot uses a leveling system that maps roughly to industry-standard titles. Here’s what total compensation looks like at each level based on verified employee-reported data:

Level

Base Salary

Equity/yr

Total Comp

Software Engineer (Entry)

$145K

~$18K

$167K

Senior Engineer I

$170K

~$48K

$228K

Senior Engineer II

$208K

~$90K

$307K

Technical Lead

$220K+

~$120K+

$357K

Principal Engineer

$240K+

~$200K+

$500K+

The median total compensation for a software engineer at HubSpot is approximately $195K–$230K depending on the data source and level mix. That places HubSpot in the middle of the SaaS pack — above companies like Zendesk and below [Datadog](https://jobsbyculture.com/companies/datadog) and [MongoDB](https://jobsbyculture.com/companies/mongodb). The jump from Senior I ($228K) to Senior II ($307K) is where the equity component really kicks in.

$230K

Median SWE Total Comp

$3.3B

Trailing 12-Month Revenue

8,882

Employees (Dec 2025)

## How HubSpot Equity Works

HubSpot grants RSUs (Restricted Stock Units) as part of total compensation. As a public company trading on NYSE under HUBS, these RSUs have immediate liquidity once vested — unlike startup equity that may never reach a liquidity event.

New-hire RSU grants typically vest over four years. The annualized equity values in the table above represent the annual vesting amount of the initial grant plus any refresh grants. At Senior I, equity represents roughly 21% of total comp (~$48K/year). By Senior II, it jumps to nearly 30% (~$90K/year). At the Principal level, equity can exceed base salary.

**Stock context:** HubSpot’s stock price has experienced volatility, trading around $197 as of May 2026 — well below its 2021 highs above $800. For employees who joined during the peak, their RSU grants have lost significant value. For new hires, the lower stock price means more shares per dollar of grant value, creating upside if the stock recovers. With revenue growing 21% year-over-year and the company generating positive free cash flow, the fundamental trajectory is intact — but the stock recovery depends on broader market sentiment toward SaaS multiples.

## How HubSpot Compares to Competitors

Context matters more than raw numbers. Here’s how HubSpot’s Senior Engineer II comp (~$307K) compares to equivalent levels at competing employers:

Company

Senior II Equiv.

WLB Score

Remote

[Datadog](https://jobsbyculture.com/companies/datadog)

$370K+

3.5

Hybrid

[Stripe](https://jobsbyculture.com/companies/stripe)

$350K+

3.6

Hybrid

[MongoDB](https://jobsbyculture.com/companies/mongodb)

$340K+

3.8

Hybrid

[HubSpot](https://jobsbyculture.com/companies/hubspot)

$307K

4.1

Remote-first

[GitLab](https://jobsbyculture.com/companies/gitlab)

$280K+

4.0

Fully remote

The pattern is clear: HubSpot trades roughly $40K–$60K in annual comp for meaningfully better [work-life balance](https://jobsbyculture.com/values/wlb) and genuine [remote flexibility](https://jobsbyculture.com/values/flex-hours). Whether that’s a good trade depends entirely on what you optimize for. If you’re maximizing lifetime earnings, HubSpot isn’t the answer. If you want a sustainable career at a profitable company where you can actually log off at 5pm, it’s one of the best options in SaaS.

## Benefits That Move the Needle

HubSpot’s benefits package is genuinely strong and goes beyond the standard tech benefits. This is where the “total compensation” story gets more nuanced:

-   **Unlimited PTO (that people actually use).** Unlike companies where “unlimited PTO” is code for “never take time off,” HubSpot’s culture actively encourages vacation. Managers model taking time off. The 4.1 [work-life balance](https://jobsbyculture.com/values/wlb) score reflects this.
-   **5-year sabbatical.** After five years at HubSpot, employees get a 4-week paid sabbatical plus a $5,000 bonus. This is a real benefit that retains senior engineers through the 4-year RSU cliff.
-   **$5,000 annual education stipend.** Covers conferences, courses, books, and certifications. This is one of the more generous [learning budgets](https://jobsbyculture.com/values/learning) among SaaS companies — many cap education at $1,500–$2,000.
-   **16-week parental leave.** Available to all parents (birth, adoption, foster). Competitive with tech industry norms.
-   **Global remote-first policy.** HubSpot committed to remote-first work in 2021. Employees can work from home, a HubSpot office, or a hybrid of both. This is a rare genuinely flexible policy at a company of this size — no mandatory office days.
-   **401(k) match.** HubSpot matches 401(k) contributions, adding to total comp value.

Employee Pro “Great benefits in general and very flexible. The Culture Code is real here, not just a PDF.”

## The Culture Code Compensation Premium

There’s a concept in economics called “compensating differentials” — workers accept lower wages for more desirable non-monetary attributes. HubSpot is a textbook example. The Culture Code, published publicly and updated regularly, codifies values like [transparency](https://jobsbyculture.com/values/transparent), autonomy, and [psychological safety](https://jobsbyculture.com/values/psych-safety). And based on employee reviews, these aren’t just aspirational:

Employee Pro “The Culture Code is real here, not just a PDF. Genuine flexibility, strong DEI, and managers who actually care.”

HubSpot’s [transparency](https://jobsbyculture.com/values/transparent) extends to compensation itself. The company publishes internal salary bands and is working toward full pay transparency. This approach reduces negotiation anxiety and gender/racial pay gaps — a meaningful benefit that doesn’t show up in the comp table but affects how engineers feel about their pay. When you know you’re being paid fairly relative to peers, the number matters less.

## What’s Changed: The Glassdoor Story

Transparency demands acknowledging the full picture. HubSpot’s Glassdoor rating has declined notably — from a historically strong 4.3 down to approximately 3.5 out of 5.0 based on 4,300+ reviews. The 2023 layoffs (7% of workforce, ~500 people) and subsequent organizational changes have left marks that employee reviews still reference.

SWE Comp & Benefits Rating 4.1

Overall Comp & Benefits 3.6

Work-Life Balance 4.1

The interesting nuance: software engineers rate compensation at 4.1/5, well above the company-wide 3.6. The lower overall score is heavily influenced by sales roles, where compensation reviews are significantly more negative (2.3/5 for sales comp). For engineering specifically, comp satisfaction remains healthy — which makes sense given the benefits package and remote flexibility.

Employee Con “Salary is not competitive with the market. Overall morale has decreased since the layoffs.”

The morale concern is real but contextual. HubSpot grew headcount 7.7% in 2025 (from 8,246 to 8,882 employees) while growing revenue 21% — suggesting the company is investing in growth, not just cutting costs. For candidates evaluating an offer, the question is whether the current organizational transition is temporary turbulence or structural decline. The revenue trajectory suggests the former.

## Who HubSpot Comp Is Right For

HubSpot’s compensation model works best for a specific kind of engineer:

-   **People who value work-life balance over maximum comp.** If you’d take $50K less to never worry about weekend messages, on-call burnout, or mandatory office days, HubSpot’s trade-off is excellent. Compare to [Datadog](https://jobsbyculture.com/companies/datadog) (higher pay, 3.5 WLB) or [Stripe](https://jobsbyculture.com/companies/stripe) (higher pay, 3.6 WLB).
-   **Parents, caregivers, and people with lives outside work.** The 16-week parental leave, unlimited PTO that’s actually used, and genuine remote flexibility make this one of the most family-friendly engineering employers in our [directory](https://jobsbyculture.com/companies).
-   **Engineers who want public company stability with startup flexibility.** HubSpot is a $3.3B revenue company that’s profitable and growing. The RSUs are liquid. The benefits are real. And the remote-first policy means you can live wherever makes sense for your life.
-   **Mid-career engineers looking for long-term sustainability.** The 5-year sabbatical, $5K education stipend, and culture that respects boundaries make HubSpot a place you can stay for 5–10 years without burning out. That compounding effect — years of vesting RSUs, promotions, and salary increases — often beats the short-term gain of jumping to a higher-paying role that you leave after 2 years.

It’s _not_ right for engineers maximizing total comp (consider [Anthropic](https://jobsbyculture.com/companies/anthropic), [OpenAI](https://jobsbyculture.com/companies/openai), or [Stripe](https://jobsbyculture.com/companies/stripe)) or those who thrive on intense, high-velocity environments where compensation reflects the burn rate (consider [Ramp](https://jobsbyculture.com/companies/ramp) or [Cursor](https://jobsbyculture.com/companies/cursor)). HubSpot is deliberately choosing to compete on sustainability, not intensity.

## Frequently Asked Questions

What is the average software engineer salary at HubSpot in 2026?+

The median total compensation for a software engineer at HubSpot is approximately $195K–$230K per year, including base salary, equity, and bonus. Entry-level engineers start around $167K total comp ($145K base + $18K equity), while Senior II engineers can reach $307K total comp. Principal engineers can exceed $500K. See our full [comp rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) for broader comparisons.

How does HubSpot compensation compare to FAANG?+

HubSpot pays below FAANG and frontier AI labs at equivalent levels. A Senior II at HubSpot earns ~$307K total comp vs. $350K–$500K+ at Google or Meta. The trade-off is a 4.1/5 work-life balance score, genuine remote-first flexibility, and the Culture Code. HubSpot competes on quality of life, not raw comp numbers.

Does HubSpot give RSUs or stock options?+

HubSpot grants RSUs (Restricted Stock Units) as part of total compensation. New-hire RSU grants vest over 4 years. As a public company (NYSE: HUBS), these RSUs have immediate liquidity once vested. Equity becomes a larger percentage of total comp at senior levels — roughly 21% at Senior I and 30% at Senior II.

What benefits does HubSpot offer engineers?+

HubSpot offers unlimited PTO (that people actually use), a 5-year sabbatical program with $5K bonus, $5,000 annual education stipend, 16-week parental leave, 401(k) match, strong healthcare, and a global remote-first work policy. These benefits are consistently praised as genuine differentiators in employee reviews.

What is HubSpot's Glassdoor rating in 2026?+

HubSpot’s overall Glassdoor rating has declined to approximately 3.5 out of 5.0 based on 4,300+ reviews, down from a historical 4.3. The decline reflects fallout from 2023 layoffs and organizational changes. Software engineers rate compensation higher (4.1/5) than the company-wide average. See the [HubSpot culture profile](https://jobsbyculture.com/companies/hubspot) for the full breakdown.

How many employees does HubSpot have in 2026?+

HubSpot had 8,882 full-time employees as of December 2025, up 7.7% from 8,246 the prior year. The company generated $3.3B in trailing twelve-month revenue as of Q1 2026, growing 21% year-over-year. Despite the 2023 layoffs, the company has returned to growth mode. For comparisons, see our [employee count analysis](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

### Browse HubSpot’s Open Roles

See HubSpot’s current openings alongside jobs from Datadog, Stripe, MongoDB, and more — all with culture and compensation context.

[View HubSpot Profile →](https://jobsbyculture.com/companies/hubspot) [Browse HubSpot Jobs →](https://jobsbyculture.com/jobs?company=hubspot)

---

## Document: Hugging Face Compensation in 2026: Salaries, Equity & The Mission Discount

# Hugging Face Compensation in 2026: Salaries, Equity & The Mission Discount

> What Hugging Face actually pays engineers in 2026: SWE total comp $150K–$235K, ML engineer ranges, the deliberate below-FAANG philosophy, equity in a $4.5B AI infrastructure company, and how remote-first changes the math.

Source: https://jobsbyculture.com/blog/huggingface-compensation-2026
Markdown: https://jobsbyculture.com/blog/huggingface-compensation-2026.md
Last updated: 2026-07-14

---
If you have spent any time in the AI ecosystem in the last few years, you have used something [Hugging Face](https://jobsbyculture.com/companies/huggingface) built. The Transformers library is the default way most teams load a model. The Hub is the default place most researchers publish weights. Datasets, Spaces, the inference API — the company has become connective tissue for the whole open-source ML ecosystem, and the team behind it has grown to roughly 700 people spread across more than 20 countries.

And yet, when engineers compare offers, Hugging Face routinely shows up with a base salary that's lower than competing offers from frontier labs and FAANG. That's not an accident. It's a deliberate compensation philosophy that the company is unusually open about. This piece breaks down what Hugging Face actually pays in 2026, what the equity and benefits look like, and how to think about the trade-off if you're holding an offer.

## The Headline Numbers

Hugging Face does not publish official salary bands, but employee-reported compensation data is consistent enough across multiple sources to draw a clear picture. Here is the 2026 snapshot for the most-asked-about roles:

Role

Location

Base Salary

Total Comp (Est.)

Software Engineer (Mid)

US (Remote)

$140k–$170k

$165k–$200k

Software Engineer (Senior)

US (Remote)

$170k–$200k

$200k–$235k

ML Engineer

US (Remote)

$120k–$150k

$145k–$180k

ML Engineer

France

€65k–€85k

€75k–€100k

Research Engineer / Scientist

US (Remote)

$160k–$220k

$190k–$260k

Engineering Manager

US (Remote)

$180k–$230k

$220k–$280k

The numbers above are conservative midpoints based on employee-reported data across multiple sources. Individual offers vary by leveling, prior experience, and negotiation, but if you are getting a Hugging Face offer that's materially outside these bands, that's worth a conversation with your recruiter.

$183K

SWE Median Total Comp (US)

3.9/5

Comp & Benefits Glassdoor

$4.5B

Last Reported Valuation

## How Hugging Face Compares to Other AI Employers

This is the question that matters most for candidates. The honest answer: Hugging Face's cash compensation sits well below the frontier labs and noticeably below Big Tech, while its mission, equity, and remote terms compete favorably with both.

Roughly mapping mid-to-senior software engineer total comp across the AI landscape:

-   [OpenAI](https://jobsbyculture.com/companies/openai): $350k–$550k
-   [Anthropic](https://jobsbyculture.com/companies/anthropic): $300k–$490k
-   [DeepMind](https://jobsbyculture.com/companies/deepmind): $300k–$460k
-   [Cohere](https://jobsbyculture.com/companies/cohere): $240k–$380k
-   [Mistral](https://jobsbyculture.com/companies/mistral): $220k–$340k
-   **Hugging Face: $165k–$235k**
-   [Databricks](https://jobsbyculture.com/companies/databricks): $260k–$420k
-   [Snowflake](https://jobsbyculture.com/companies/snowflake): $250k–$400k

The gap is real. A senior software engineer offer from Anthropic can be nearly double the equivalent offer from Hugging Face on total cash and equity. For many candidates, that's the entire decision. For others, it's the start of a different calculation.

## The Mission Discount Explained

Hugging Face's compensation philosophy is unusually explicit. CEO Clément Delangue and the leadership team have publicly framed comp at the company as a deliberate trade: you accept below-market cash in exchange for things that are scarcer and, the argument goes, more durable.

"We are not the company where you come to maximize your cash compensation. We're the company where you come to work on things that actually shape how the field develops — and to own meaningful equity in the result." — Paraphrased from the Hugging Face hiring page

Strip away the framing and the trade-off has four real components:

### 1\. Open-source impact

Hugging Face engineers ship code that is used by millions of people. The Transformers library alone has more than 130,000 GitHub stars. There are very few places where a single commit can show up in the workflow of every major AI lab the next day. If your reason for being in the field is to shape the field, the leverage at Hugging Face is hard to match.

### 2\. Equity in a $4.5B AI infrastructure company

Hugging Face raised $235M in its Series D at a $4.5B valuation. The company is generating roughly $130M in annual revenue and growing fast. Equity grants are real, vesting is standard 4-year with a 1-year cliff, and the dilution math for a Series D company at this scale is generally favorable for employees. The upside is uncertain — there is no public IPO timeline and the secondary market for private AI equity is uneven — but the grants are not theatrical.

### 3\. Genuine remote-first

Hugging Face is one of a small number of AI companies where remote is the default, not an accommodation. The team is distributed across the US, France, the UK, and 20+ other countries. There are physical hubs in New York and Paris for those who want office space, but the org doesn't bend toward in-person work. For engineers who value remote and flexibility, this is genuinely scarce in 2026 — especially in AI, where many leading labs have quietly tightened in-office expectations. Compare with our [remote-friendly AI companies page](https://jobsbyculture.com/values/remote).

### 4\. Async culture and ownership

Hugging Face operates async by default. The flat structure means small teams own meaningful surface area. Engineers describe being able to push directly to the libraries millions of developers depend on, often without layers of review process. For senior engineers who have been ground down by Big Tech process, this is a real lifestyle difference. For engineers who need clearer structure, it can be disorienting.

## Geo-Adjusted Compensation: How It Actually Works

Like most remote-first companies, Hugging Face uses geo-tiered compensation. Roles are priced relative to local markets, with the US and Western Europe at the top of the bands and emerging markets adjusted downward. The bands are considered fair relative to local benchmarks — not the kind of harsh "remote tax" that some companies use to discourage non-US hires.

**Key point** If you are evaluating an offer outside the US, do not just convert dollars and assume the package is worse. Run the comparison against local benchmarks. A €75k Paris ML engineer base is competitive within the French market; the US-equivalent FAANG number can be misleading because cost-of-living, tax, healthcare, and pension treatment all differ materially.

The locations where Hugging Face's comp model works best are the ones with strong tech ecosystems but lower nominal salary expectations than the Bay Area: Paris, London (for some roles), Berlin, Amsterdam, and remote-friendly markets in Eastern Europe. The locations where the model is most painful for candidates are New York and San Francisco, where the cash gap to a FAANG offer is largest in absolute terms.

## Benefits Worth Naming

Beyond cash and equity, Hugging Face's benefits package is solid but unflashy — consistent with the company's overall tone:

-   **Health, dental, vision:** Comprehensive in the US, with local-equivalent coverage internationally
-   **Parental leave:** 16+ weeks, with consistency across the global org — one of the genuine advantages of being a remote-first company that takes global teams seriously
-   **Unlimited PTO:** With the usual caveat that "unlimited PTO" only works in a culture that actively encourages taking it. Reviewers say HF does
-   **Home-office setup stipend:** Standard equipment refresh and ergonomic budget
-   **Learning & conference budget:** Engineers regularly attend NeurIPS, ICLR, EMNLP, etc., on the company tab
-   **Equity refreshers:** Standard at senior+ levels following annual performance cycles

What's missing — or at least quieter — compared to FAANG is the hyper-rich perks layer (chef-cooked meals, on-site gyms, lavish offsites). Hugging Face's remote-first structure makes most of those irrelevant. The company instead leans on a generous learning budget and a culture that takes async work-life balance seriously, which the 4.1/5 work-life-balance Glassdoor score backs up.

## How to Reason About a Hugging Face Offer

If you are sitting on an offer right now, here is the framework that most engineers we have spoken to have used to evaluate it honestly:

### The maximizing-cash candidate

If your goal is to maximize cash compensation over the next 4 years, Hugging Face is probably not the right offer. The gap to [Anthropic](https://jobsbyculture.com/companies/anthropic), [OpenAI](https://jobsbyculture.com/companies/openai), or a FAANG senior package is large enough that even an optimistic equity outcome at HF doesn't fully close it. Take a different offer or use the HF offer as a negotiating data point.

### The mission-driven candidate

If you genuinely want to work on open-source AI infrastructure and you care about the broad surface area of impact — not just inside one lab — the cash trade is meaningful but reasonable. Hugging Face is the place to work on the libraries and platforms most of the field actually uses, and that does not exist anywhere else at this scale.

### The lifestyle candidate

If you value true remote work, flexible hours, and a flat structure — and you are willing to take some cash hit to get them — Hugging Face is one of the few places that delivers all three at scale. Compare to other companies on our [remote-friendly culture page](https://jobsbyculture.com/values/remote).

### The optionality candidate

If you have already worked at FAANG or a frontier lab, have your financial floor in place, and want to bet some career time on a high-mission, high-equity option, Hugging Face's structure looks more like a tech-startup bet than a salary play. Many of the company's senior engineers fit this profile.

## Negotiation Notes

Practical points that surface repeatedly from candidates who have negotiated with Hugging Face:

-   **Base salary has some flex; cash bonuses are limited.** The cleanest lever to push is base. Sign-on bonuses do exist but are typically modest.
-   **Equity is real and worth negotiating.** Push for the higher end of the equity band rather than chasing a small base bump — the long-term math is more interesting on the equity side given the valuation trajectory.
-   **Location matters, and it is somewhat negotiable.** If you can credibly base yourself in a higher-tier location, do that math explicitly with your recruiter.
-   **Senior leveling is determined by interview signal, not title-matching.** The interview process determines level, not what your last company called you. Bring concrete evidence of scope.
-   **Equity refreshers are a real component.** Ask about the refresher cadence at your target level — this can meaningfully change the 4-year picture.

### See live Hugging Face roles — with culture context

Open Hugging Face positions across software engineering, ML, research, and ops — alongside roles from [Anthropic](https://jobsbyculture.com/companies/anthropic), [Cohere](https://jobsbyculture.com/companies/cohere), [Mistral](https://jobsbyculture.com/companies/mistral), and 115+ other AI & tech companies.

[View Hugging Face Jobs →](https://jobsbyculture.com/jobs?company=huggingface) [See Culture Profile →](https://jobsbyculture.com/companies/huggingface)

## The Bottom Line

Hugging Face in 2026 is a company that pays its engineers fairly — just not maximally. It has decided, intentionally, that being the open-source backbone of the AI ecosystem is the brand to optimize for, not being the company with the biggest base salaries. That choice attracts a particular kind of engineer: someone who values impact over compensation, ownership over structure, and remote work over hub-and-spoke culture.

If that's you, the offer is good enough. If it's not, the offer is a useful benchmark for negotiating with companies that pay more. Either way, knowing exactly what the trade looks like — rather than discovering it after signing — is the win.

## Frequently Asked Questions

What is the average salary at Hugging Face in 2026?+

The average software engineer total compensation at Hugging Face in 2026 is approximately $183K for US-based roles, with senior packages reaching $235K+. ML engineer base salaries average around $134K. France-based ML engineers earn around €75K base. These numbers are deliberately below FAANG benchmarks. See the full breakdown above for senior, engineering manager, and research roles.

Does Hugging Face pay below market?+

Yes, intentionally so. Compared to frontier AI labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) ($300K–$490K) and [OpenAI](https://jobsbyculture.com/companies/openai) ($350K–$550K), Hugging Face base and total cash compensation are meaningfully lower. The company makes this trade explicit — it pays a premium in mission ownership, open-source impact, equity in a $4.5B company, and a true remote-first culture. The Glassdoor compensation rating of 3.9/5 reflects employees who accept this trade but note it openly.

What is Hugging Face's equity like?+

Hugging Face equity grants are meaningful given the company's $4.5B post-Series D valuation. Employees receive standard 4-year vesting with a 1-year cliff. The upside is real but uncertain — the company is generating roughly $130M annually and is profitable on contribution margin, but has not committed to an IPO timeline. Early employees who joined pre-Series C have seen significant paper appreciation, while newer hires get equity at a higher strike. Refresher grants are part of the normal performance cycle for senior+ employees.

Is Hugging Face fully remote?+

Yes. Hugging Face is genuinely remote-first with a global team spanning the US, France, UK, and 20+ other countries. There are physical hubs in New York and Paris for those who want office space, but they are optional. Compensation is geo-adjusted using a tier system, though the bands are considered fair relative to local markets — not the kind of harsh location penalties some other remote-first companies apply. For comparison with other remote-first AI companies, see our [remote-friendly culture page](https://jobsbyculture.com/values/remote).

What benefits does Hugging Face offer?+

Hugging Face offers standard tech benefits with a remote-first flavor: comprehensive health, dental, and vision (US employees), local-equivalent coverage internationally, generous parental leave (16+ weeks), unlimited PTO (genuinely taken), a home-office setup stipend, learning budget for conferences like NeurIPS and ICLR, and equipment refresh allowances. Compensation and benefits combined receive a 3.9/5 Glassdoor rating — middle-of-the-pack, with the explicit trade described in the company's hiring materials.

How does Hugging Face compensation compare to other AI companies?+

Hugging Face sits in the middle of the AI compensation landscape: well above traditional SaaS but below frontier labs. The full ordering looks roughly like: [OpenAI](https://jobsbyculture.com/companies/openai) > [Anthropic](https://jobsbyculture.com/companies/anthropic) > [DeepMind](https://jobsbyculture.com/companies/deepmind) > [Databricks](https://jobsbyculture.com/companies/databricks) > [Cohere](https://jobsbyculture.com/companies/cohere) > [Mistral](https://jobsbyculture.com/companies/mistral) > Hugging Face > most legacy enterprise AI. The company explicitly competes on mission and equity rather than cash. For a full comparison across our directory, see the [2026 highest-paying AI companies guide](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

---

## Document: Linear Salary 2026: $160K–$386K TC, Equity & How It Compares to Notion & Figma

# Linear Salary 2026: $160K–$386K TC, Equity & How It Compares to Notion & Figma

> Linear compensation in 2026: $160K–$386K total comp for engineers, above-market equity at a $1.25B valuation, and how it compares to Notion, Figma, Vercel, and PostHog. Real compensation data from verified reports for a tiny 100-person team.

Source: https://jobsbyculture.com/blog/linear-compensation-2026
Markdown: https://jobsbyculture.com/blog/linear-compensation-2026.md
Last updated: 2026-07-14

---
TL;DR — Key Takeaways

-   Linear software engineer total compensation ranges from **$160K to $386K**, with a verified compensation reports median of **$205K** — competitive for a <100-person company with $100M ARR.
-   The real compensation story is **equity at a $1.25B valuation** with a credible path to liquidity after the June 2025 Series C led by Accel.
-   Glassdoor overall score of **4.6/5**, with 95% recommending and a WLB score of **4.4/5** — the strongest work-life balance among B2B SaaS tools peers.
-   Raw TC is below Figma ($415K median) and Notion ($330K median), but Linear’s **tiny team** means more per-engineer equity, product ownership, and craft leverage than you’ll find at 10x-larger companies.

In This Article

1.  [Quick Stats at a Glance](#glance)
2.  [Why Linear’s Compensation Is Different](#why-linear-is-different)
3.  [Salary by Role](#salary-by-role)
4.  [Equity & Upside](#equity)
5.  [Benefits & Perks](#benefits)
6.  [How Linear Compares to Notion, Figma, Vercel & PostHog](#comparison)
7.  [The Culture Premium: What You’re Trading Cash For](#culture)
8.  [Negotiation Tips](#negotiation)
9.  [Frequently Asked Questions](#faq)

[Linear](https://jobsbyculture.com/companies/linear) occupies a peculiar position in the B2B software talent market. It’s one of the most admired engineering cultures in tech — a $1.25B company generating $100M ARR with roughly 100 employees, a 4.6/5 Glassdoor score, and a product that engineers actually love using. But its compensation numbers, while solid, are not at the top of the SaaS market.

Understanding Linear compensation means understanding the trade-off: you’re not going to maximize total cash comp here. What you can maximize is equity concentration in a capital-efficient, growing company, and the quality of the work itself. For the right engineer, that’s a better deal than $150K more in TC at a 5,000-person company where your impact is diluted across layers of process.

## Quick Stats at a Glance

Component

Detail

Company

Linear (linear.app)

Founded

2019 by Karri Saarinen (ex-Airbnb, ex-Coinbase)

Team size

~100 employees (as of 2025–2026)

ARR

~$100M (reached June 2025)

Valuation

$1.25B (Series C, June 2025, led by Accel)

Glassdoor overall

4.6 / 5.0

Comp & Benefits score

4.3 / 5.0

Work-Life Balance

4.4 / 5.0

Recommend to friend

~95%

CEO approval

~95% (Karri Saarinen)

Engineer TC range

$160K–$386K (verified compensation reports, updated March 2026)

Median engineer TC

~$205K

Equity type

Stock options / RSUs (private)

Work model

Remote-first (US & Europe)

$1M+

Revenue per employee — Linear generates more revenue per person than nearly any company of its size

## Why Linear’s Compensation Is Different

Most compensation analysis starts and ends with total cash comp. For Linear, that approach misses the point. The company has made a deliberate choice to stay small — 100 employees to reach $100M ARR, a revenue-per-employee ratio that is genuinely extraordinary. That intentionality shapes everything about how they hire and pay.

What you get at Linear that you typically cannot buy at a larger company:

-   **Equity concentration.** With ~100 people at a $1.25B valuation, the average equity per employee is far higher than at companies with 10x the headcount at the same valuation. Earlier employees have meaningfully concentrated ownership in a company that is capital-efficient, growing, and reportedly profitable.
-   **Product craft ownership.** Engineers at Linear are not ticket-closers. They own features end-to-end, influence product direction, and work directly on a tool used daily by hundreds of thousands of developers and teams. The company’s “Linear Method” treats designers and engineers as PMs who understand why a feature matters, not just how to build it.
-   **Genuine deep work culture.** No mandatory standups. No daily status reports. Async-first communication that is documented in practice, not just on the careers page. Reviews consistently confirm the culture is real.

Pro — Glassdoor review “Genuinely the best engineering culture I’ve worked in. Deep work is actually protected. No standups, no noise. You just build.”

Con — Glassdoor review “Compensation is competitive but not top-of-market. If you’re purely optimizing for cash, there are higher-paying options at larger companies.”

## Salary by Role

Linear does not publicly disclose salary bands, but verified compensation data (last updated March 2026) and reported offers provide a reasonable picture. The data set for Linear is small given the team size, so these are directional ranges rather than statistically robust medians.

Role

Base Salary (Est.)

Total Comp (Est.)

Source

Software Engineer

$150K–$220K

$160K–$280K

verified reports, reported offers

Senior Software Engineer

$190K–$250K

$220K–$340K

verified reports, inferred

Staff / Product Engineer

$230K–$290K

$280K–$386K

verified reports (highest reported: $386K)

Product Designer

$160K–$230K

$180K–$290K

Estimated (limited data)

Engineering Manager

$220K–$280K

$260K–$350K

Estimated (limited data)

The highest verified total compensation package reported in verified compensation reports for a software engineer at Linear is **$386,200**. The overall median across all roles is approximately $181K, pulled down by non-engineering positions. For software engineers specifically, the median is approximately $205K.

A notable data point: Linear’s posted open roles for “Senior / Staff Product Engineers” are intentionally broad, reflecting the company’s preference for generalist engineers who can own problems across the stack rather than deep specialists in narrow domains.

Interested in working at Linear? Browse their current openings. [See open Linear positions →](https://jobsbyculture.com/jobs?company=linear)

## Equity & Upside

Equity is where the Linear compensation story gets compelling — and where the most uncertainty lives. Here’s what is known:

-   **Structure.** Linear grants stock options or RSUs as part of every engineering offer. The exact instrument (ISOs, NSOs, or RSUs) varies by level and hire date. Reports suggest a standard 4-year vesting schedule with a 1-year cliff.
-   **Valuation context.** The Series C in June 2025 valued Linear at $1.25B. With $100M in ARR and a track record of capital efficiency, the company trades at a revenue multiple consistent with high-quality SaaS businesses. For context, Figma was acquired for $20B at approximately $400M ARR — a roughly 50x multiple. Linear at a similar trajectory would imply significant upside from the current $1.25B mark.
-   **Liquidity path.** Linear’s equity is private. There is no IPO date announced. However, the Series C from institutional investors like Accel (which has a strong track record of taking portfolio companies public) signals a clearer path toward a liquidity event than pre-institutional-round startups. Secondary markets (e.g., Forge, Nasdaq Private Market) may also offer limited liquidity to employees.
-   **Concentration advantage.** At ~100 employees and a $1.25B valuation, the per-engineer equity concentration is substantially higher than at peers with larger teams. A senior engineer joining with a 0.05–0.1% grant would be worth $625K–$1.25M at current valuation — and more at any future higher valuation.
-   **Refresher grants.** Reports suggest Linear offers refresher equity grants to tenured employees, helping maintain total comp as initial grants vest.

Pro — Community sentiment “Tiny team at a $1.25B valuation. If this thing exits at $5B or goes public, the equity math is really compelling compared to joining a big company with diluted grants.”

Con — Glassdoor review “No liquidity until an exit or IPO. If you need cash now, the equity is just a number on paper. They’re not doing tender offers like some other startups.”

The key question for candidates: _how much do you believe in Linear’s trajectory, and how long are you willing to wait for equity to vest?_ If you need liquidity in the near term, Linear’s private equity is a real constraint. If you have a 4–7 year time horizon and believe in the company, the equity math at this scale is genuinely attractive.

Related Reading

-   [OpenAI Compensation 2026: Salary, PPU Equity, Bonus & How It Compares](https://jobsbyculture.com/blog/openai-compensation-2026)
-   [Anthropic Compensation 2026: Salary, Equity, Bonus & How It Compares](https://jobsbyculture.com/blog/anthropic-compensation-2026)
-   [Best AI & Tech Companies for Engineers in 2026](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)

## Benefits & Perks

Linear’s benefits package reflects its remote-first, engineer-first culture. Reports suggest the following:

-   **Health insurance:** Comprehensive medical, dental, and vision coverage. Given the team is distributed across the US and Europe, coverage is structured for remote workers.
-   **Remote-first infrastructure:** Home office setup stipend. Reports suggest Linear provides equipment and covers home office setup costs for new hires.
-   **Coworking hubs:** Introduced in 2025, optional coworking spaces in Berlin, New York, and San Francisco. Not mandatory, but available for engineers who prefer in-person time.
-   **Team offsites:** Annual company-wide offsite (the 2025 offsite was held in Copenhagen). Most teams also organize a mid-year meetup.
-   **Flexible time off:** Linear’s culture of deep work and autonomy extends to PTO. The WLB score of 4.4/5 on Glassdoor is consistent with genuinely flexible working arrangements.
-   **Learning & development:** Reports suggest a conference and learning budget, consistent with Linear’s high bar for continuous improvement in craft.
-   **401(k):** Available for US-based employees; match details are not publicly confirmed.

Pro — Glassdoor review “Remote work actually works here. No 9-to-5 enforcement, no meeting culture. You do your best work when and where you work best.”

## How Linear Compares to Notion, Figma, Vercel & PostHog

Linear competes for engineering talent in a specific niche: craft-focused B2B SaaS tools companies. The most direct comparators are Notion, Figma, Vercel, and PostHog — all beloved by developers, all competing on culture and product quality rather than pure TC.

Company

Eng TC Range

Median TC

Glassdoor

Team Size

Figma

$221K–$780K

$415K

~4.0

~1,200

Notion

$201K–$735K

$330K

~3.9

~900

PostHog

$150K–$433K

$255K

~4.4

~60

[Linear](https://jobsbyculture.com/companies/linear)

$160K–$386K

$205K

4.6

~100

Vercel

$165K–$316K

$190K

~3.8

~400

Key takeaways from the comparison:

-   **Figma and Notion pay significantly more in TC** — Figma’s median of $415K is 2x Linear’s $205K. But Figma (now part of Adobe) and Notion have 10–15x more employees, substantially diluting per-engineer equity and autonomy. Figma’s Glassdoor score has also declined post-acquisition.
-   **PostHog is the closest cultural and structural peer.** Open-source, tiny team (~60), remote-first, high-autonomy. PostHog pays a higher median ($255K) but is pre-profitability and earlier-stage. The culture match with Linear is the strongest of any comparator.
-   **Vercel pays less than Linear** at the median, despite having a 4x larger team. Vercel’s Glassdoor score (3.8) is notably lower than Linear’s (4.6), suggesting less employee satisfaction despite the VC-backed growth trajectory.
-   **Linear has the highest Glassdoor score** of any company in this comparison group — and by a meaningful margin over Notion and Vercel. Culture satisfaction and compensation satisfaction are different axes, and Linear wins decisively on culture.

4.6 / 5

Linear’s Glassdoor score — the highest among Notion, Figma, Vercel, and PostHog comparators

## The Culture Premium: What You’re Trading Cash For

The honest frame for evaluating a Linear offer is: _you are trading some cash compensation for something most engineers cannot buy elsewhere._ Here’s what that means in practice.

Linear’s culture is built around a set of genuinely rare properties that are hard to find together in a single company:

-   **Deep work is structurally protected.** No standups. No mandatory check-in Slack messages. Async communication by default. This is not a policy; it is how the company actually operates. The 4.4/5 WLB score and multiple Glassdoor reviews confirm it in practice, not just on the careers page.
-   **Senior team with extreme hiring bar.** Linear is notoriously selective. The result is a team where almost everyone is operating at a high level, which both accelerates your own development and makes the day-to-day work more satisfying. “Brilliant colleagues” is the most common theme in positive reviews.
-   **Product craft that engineers actually care about.** Linear’s product is obsessively designed — sub-100ms response times, keyboard-first interactions, offline-first sync engine. If you care about the quality of what you ship, working on a product that has achieved near-universal respect among developers is a non-trivial intangible.
-   **Small enough that your work visibly matters.** At 100 people, there is no hiding behind team size. The features you ship ship. The architectural decisions you make matter. Individual engineers have an outsized impact relative to their headcount contribution.

Pro — Glassdoor review “The team is brilliant. Everyone here is genuinely excellent at what they do. The product is something you can actually be proud of. The work-life balance is real.”

Con — Glassdoor review “Small team means limited roles and limited career progression paths. If upward mobility in a traditional management hierarchy matters to you, this isn’t the right fit.”

## Negotiation Tips

If you receive a Linear offer, here is how to think about negotiating it:

-   **Focus on equity grant size, not base salary.** Linear’s base salaries are relatively standardized. The equity grant is more variable and — given the company’s trajectory — the more valuable component over a 4–7 year horizon. Push for the largest equity package you can negotiate and understand the current strike price relative to the Series C valuation.
-   **Ask about the option strike price and 409A valuation.** The difference between your strike price and eventual exit valuation determines your actual equity gain. Getting clarity on recent 409A valuations helps you evaluate the real upside.
-   **Competing offers from Notion, Figma, PostHog, or Vercel** are your best leverage. These are the companies Linear directly competes with for engineering talent. An offer at $280K from Notion creates meaningful room to negotiate at Linear.
-   **Ask about secondary sale opportunities.** Some VC-backed companies allow employees to participate in secondary market sales. Linear has not publicly confirmed this, but it is worth asking your recruiter, particularly given the institutional investor base from the Series C.
-   **Negotiate a signing bonus** to bridge any cash comp gap you’re accepting relative to alternative offers. This is a standard lever and Linear is likely willing to use it for candidates they want to close.
-   **Get level clarity early.** Linear uses relatively flat titling, but the equity and cash comp difference between IC levels is significant. Establishing your level before offer stage is more valuable than post-offer negotiation at any single level.

### Is Linear Compensation Worth It?

For engineers who are purely optimizing total cash compensation, Linear is not the right choice. Figma and Notion pay 60–100% more in raw TC. But for engineers who care about equity upside at a capital-efficient $1.25B company, genuine deep work culture, product craft, and working with a brilliant senior team — the trade-off is real and defensible. Linear’s 4.6/5 Glassdoor score and 4.4/5 WLB score suggest that the people who join with the right expectations stay happy. The key is going in with clear expectations: you are buying a culture and an equity story, not a top-of-market cash package. If that trade-off resonates, Linear is one of the best places to work in the entire B2B SaaS space. Explore the full [Linear culture profile](https://jobsbyculture.com/companies/linear) or browse [current openings](https://jobsbyculture.com/jobs?company=linear).

## Frequently Asked Questions

What is the average salary at Linear in 2026?+

The median total compensation for a software engineer at Linear is approximately $205K per year, according to verified salary reports (updated March 2026). Total comp ranges from $160K for junior engineers to $386K for staff-level engineers, including base salary, equity, and any bonuses. Given Linear’s tiny team size (~100 people) and $1.25B valuation, equity represents a significant upside opportunity for earlier and senior hires.

Does Linear offer equity to all employees?+

Yes — reports suggest Linear offers equity (stock options or RSUs) as a standard part of every compensation package. As a Series C company with a $1.25B valuation and $100M ARR, the equity upside is real but private, meaning it is only liquid at acquisition, IPO, or secondary sale. The company raised its Series C in June 2025 led by Accel, which typically signals a clearer path toward liquidity in the medium term.

How does Linear compensation compare to Notion and Figma?+

Figma pays significantly more in raw total comp — $221K–$780K for software engineers with a median of $415K — followed by Notion at $201K–$735K (median $330K). Linear’s median TC of $205K trails both, but Linear has a much smaller team (~100 vs. Notion’s ~900 and Figma’s ~1,200), which means more equity concentration per engineer and more direct product impact. PostHog is more comparable in team size and pays a median of $255K. See [Linear vs. Notion](https://jobsbyculture.com/compare/linear-vs-notion) and [Linear vs. Figma](https://jobsbyculture.com/compare/linear-vs-figma) for full comparisons.

What is the work-life balance like at Linear?+

Linear’s work-life balance score on Glassdoor is 4.4/5 — well above the industry average and among the highest of any B2B SaaS company of comparable size. The company is remote-first and async-first, with no mandatory standups and a deliberately low-meeting culture. Coworking hubs in Berlin, New York, and San Francisco were introduced in 2025 for optional in-person collaboration. Annual company offsites and optional team meetups provide social connection without mandating office attendance.

Is Linear a good company to work for?+

Linear’s Glassdoor overall score is 4.6/5 with approximately 95% of reviewers recommending it to a friend and ~95% CEO approval for Karri Saarinen. Culture & Values is rated 4.8/5. The company is consistently praised for its deep-work culture, product craft obsession, senior teammates, and genuine work-life balance. The primary cons are that the team is very small (meaning few roles are available at any given time) and the hiring bar is extremely high. Read the full [Linear culture profile](https://jobsbyculture.com/companies/linear) for more detail.

How much equity does a Linear software engineer get?+

Linear does not publicly disclose its equity grant ranges. Reports suggest engineers receive stock options or RSUs as part of their offer, with equity making up a meaningful share of total compensation. At a $1.25B Series C valuation with $100M ARR and a path toward profitability, the equity upside is real — but remains illiquid until an IPO, acquisition, or secondary market event. Candidates should specifically ask about the strike price, vesting schedule, and any secondary sale opportunities during the offer stage.

Can you negotiate a Linear salary offer?+

Yes — Linear offers are negotiable. Given the small team size and high hiring bar, Linear typically wants to close candidates it extends offers to. The primary lever is the equity grant rather than base salary. Competing offers from companies like Notion, Figma, Vercel, or PostHog provide negotiation leverage. Given that Linear’s cash compensation is not at the top of the market, negotiating for a larger equity grant or signing bonus makes sense for candidates who believe in the company’s trajectory.

Is Linear hiring in 2026?+

Linear hires rarely and intentionally — the team grew from roughly 80 to ~100 engineers over the past year, but headcount growth is deliberately slow. The company posts open roles on its careers page at linear.app/careers. All roles are remote-first, open to candidates based in the US and Europe. Given the extreme hiring bar, candidates should expect a multi-stage process focused heavily on product thinking, execution speed, and cultural fit. See all [current Linear openings](https://jobsbyculture.com/jobs?company=linear).

### Explore open roles at Linear

Rarely open, always intentional. See what Linear is hiring for right now.

[See Linear Jobs →](https://jobsbyculture.com/jobs?company=linear) [Linear culture profile →](https://jobsbyculture.com/companies/linear)

---

## Document: Linear Remote Work Policy 2026: Genuinely Remote-First, Async by Design

# Linear Remote Work Policy 2026: Genuinely Remote-First, Async by Design

> Is Linear remote-friendly in 2026? Yes — and it

Source: https://jobsbyculture.com/blog/linear-remote-work-policy-2026
Markdown: https://jobsbyculture.com/blog/linear-remote-work-policy-2026.md
Last updated: 2026-07-14

---
If you’re researching [Linear](https://jobsbyculture.com/companies/linear) as a potential employer and remote work matters to you, the good news is rare: this is one of those companies where the policy matches the marketing. Linear was built remote-first from day one in 2019, and the team has stayed that way through a ~$1B valuation and 99 employees spread across more than 15 countries.

The short answer: Linear is **genuinely remote-first with a documented async culture** — no standups, no mandatory office, and coworking hubs that are explicitly optional. If you’re based in North America or Europe and care about deep work, this is as close to the ideal remote-first environment as you’ll find in the dev tools space.

## Linear Remote Policy at a Glance

Metric

Detail

Official policy

Remote-first (distributed by design)

Reality

Matches the policy — genuinely distributed

Team size

~99 employees

Countries

15+ across North America and Europe

Time zones

10+

Nominal HQ

San Francisco, CA (but no office required)

Optional coworking hubs

Berlin, New York, San Francisco (attendance not expected)

Standups / mandatory meetings

None — async-first by policy

Glassdoor rating

4.6 / 5.0 (25 reviews)

Work-life balance

4.4 / 5.0

~100%

Of Linear’s open roles are remote — eligible candidates across the US and Europe

## What “Remote-First” Actually Means at Linear

Linear isn’t using “remote-first” as a recruiting buzzword. The company published a detailed piece titled _Designing Remote Work at Linear_ that lays out their philosophy in concrete terms. Key elements:

-   **No standups.** Linear has no daily standups and no mandatory recurring team calls. This isn’t a recent policy shift — it’s been the norm since founding.
-   **Weekly written async updates.** Teams post two-paragraph written updates every Friday. These auto-post to Slack so anyone can follow project progress without scheduling a meeting.
-   **Monthly all-hands, not weekly.** The full team meets synchronously once a month for a one-hour all-hands to share metrics, demo upcoming releases, and reflect on what’s working. That’s it for mandatory calls.
-   **Annual company offsite.** Linear brings the full team together in person once a year. Past locations: Mexico City, Helsinki, Lisbon. It’s a genuine gathering, not a proxy for office culture.
-   **Optional coworking hubs.** In 2025, Linear introduced coworking spaces in Berlin, New York, and San Francisco. The company is explicit: “no expectation to show up.” These exist for people who want in-person time with teammates, not as a soft return-to-office mandate.

## Who Can Work Remotely at Linear?

Almost everyone on the team is remote. Linear hires across North America and Europe, and role listings don’t typically restrict candidates to specific cities. Key considerations for applicants:

-   **US and Europe eligibility.** The team spans 15+ countries, but hiring is currently concentrated in the US and Europe. Candidates in Asia-Pacific or Latin America should check specific job listings for geographic eligibility — Linear doesn’t currently operate a truly global hiring model like Grafana Labs or GitLab.
-   **No timezone restrictions in practice.** With 10+ time zones already represented on the team, Linear is comfortable with most North American and European timezone combinations. Their async-first culture means you’re not dependent on overlap hours for most work.
-   **Small team, high bar.** Linear hires slowly and intentionally. There are typically only a handful of open roles at any time. The hiring bar is extremely high — they want senior, self-directed people who thrive without management overhead.

The roles Linear hires for remotely cover the full spectrum: engineering (TypeScript, React, Rust), design, product, and select business roles. Unlike many “remote-friendly” companies where remote is an exception for niche roles, at Linear the default assumption for every role is remote.

## Linear’s Optional Coworking Hubs

In 2025, Linear added a new element to the remote model: optional coworking hubs in three cities. These are important to understand correctly:

San Francisco, CA

Optional coworking hub · No attendance requirement · Not a traditional HQ

New York City, NY

Optional coworking hub · For those who want in-person teammate time

Berlin, Germany

Optional coworking hub · Serving European team members

Annual Offsite (Rotating)

Past locations: Mexico City, Helsinki, Lisbon · Full team attends once per year

This is a meaningful distinction from companies that have added “optional” offices as a Trojan horse for return-to-office pressure. Linear’s coworking hubs appear to be genuinely optional, driven by employee desire for occasional in-person collaboration rather than managerial pressure to show face.

## What Employees Say About Working Remotely at Linear

With only ~25 Glassdoor reviews (the team is small), we rely more on published employee accounts and community feedback than statistical review data. The picture that emerges is consistent:

Pro — Glassdoor / community review “Deep work is an actual priority, not a poster on the wall. No standups, no status meetings. You get large uninterrupted blocks to do real work.”

Pro — Glassdoor review “Small, senior team where you can see the direct impact of your work. Async-first culture actually works because everyone on the team is self-directed enough to not need hand-holding.”

Con — Glassdoor / community review “Very small team means very few open roles — patience required. And the hiring bar is extreme; the process is thorough.”

Con — community feedback “Limited public engineering content and a relatively quiet external presence. If you want to write conference talks or blog posts as part of your role, you’ll mostly be doing that on your own time.”

The 4.4 / 5.0 Glassdoor work-life balance score is one of the highest we’ve seen among dev tools companies. It’s consistent with a genuine no-standup, async culture where the rhythm of work is set by the individual rather than by a meeting calendar.

## Linear vs. Other Remote-First Dev Tools Companies

How does Linear stack up against the other companies most often compared to it on remote work specifically?

Company

Remote Policy

Glassdoor

WLB

Team Size

[Linear](https://jobsbyculture.com/companies/linear)

Remote-first, US & Europe

4.6

4.4

~99

[PostHog](https://jobsbyculture.com/companies/posthog)

Fully remote, 35+ countries

4.3

4.5

~60

[GitLab](https://jobsbyculture.com/companies/gitlab)

All-remote, 65+ countries, public handbook

4.2

4.3

~2,500

Notion

Hybrid — SF & NYC office-preferred

4.0

3.8

~600

Vercel

Remote with SF gravity — shifting hybrid

4.1

3.9

~350

Linear and PostHog are the closest comparisons: both are small, distributed, async-first companies building developer tools. PostHog edges ahead on global reach (35+ countries vs. US/Europe), while Linear edges ahead on Glassdoor ratings and the depth of its async-first culture documentation. GitLab is the gold standard for large-scale all-remote, but at 2,500 people it’s a fundamentally different work experience. Notion and Vercel have both drifted toward office gravity in recent years, making them a different category than Linear.

For more remote-first options in this space, see our guide on [remote-friendly AI and tech companies hiring in 2026](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026).

### The Bottom Line

Linear is the real deal on remote work. A 99-person team across 15+ countries, zero standups, async-first communication, optional coworking hubs with zero attendance pressure — it’s one of the most credibly remote-first companies in the developer tools space. The catch: hiring is intentionally slow, the bar is high, and geographic eligibility is currently limited to North America and Europe. If you fit the profile and want to work deeply on software craft without a meeting-heavy culture, Linear is worth the patience. See our full [Linear culture profile](https://jobsbyculture.com/companies/linear) or explore [Linear’s compensation data for 2026](https://jobsbyculture.com/blog/linear-compensation-2026).

## Open Positions at Linear

Linear typically has a small number of open roles at any given time — they hire rarely and with high intentionality. Most positions are fully remote across North America and Europe, spanning engineering, design, product, and select business roles.

For the full list of live openings, visit the [Linear jobs page](https://jobsbyculture.com/jobs?company=linear) or explore the [Linear culture profile](https://jobsbyculture.com/companies/linear) for Glassdoor ratings, employee review themes, and culture values. You can also read our dedicated piece on [Linear compensation in 2026](https://jobsbyculture.com/blog/linear-compensation-2026) before applying.

## Frequently Asked Questions

Is Linear a remote-first company?+

Yes, Linear is genuinely remote-first — not just remote-friendly. The company was set up as a fully distributed team from day one and today has roughly 99 people spread across 15+ countries and 10+ time zones. There are no required office days and no standups. In 2025, Linear opened optional coworking hubs in Berlin, New York, and San Francisco, but attendance is explicitly not expected. Nearly 100% of open roles at Linear are available to candidates anywhere in the US or Europe. See all [current Linear openings](https://jobsbyculture.com/jobs?company=linear).

What is Linear’s remote work policy in 2026?+

Linear’s remote work policy in 2026 is best described as “distributed-first with optional in-person moments.” The entire team works remotely across North America and Europe, communicating primarily through written async updates rather than meetings. Linear holds one company-wide offsite per year (past locations include Mexico City, Helsinki, and Lisbon) and monthly all-hands video calls. The optional coworking hubs in Berlin, New York, and San Francisco exist for those who want in-person time with teammates, but there is zero expectation to use them.

What countries does Linear hire remote workers from?+

Linear hires remote employees from across North America and Europe. The team spans 15+ countries and 10+ time zones. There is no single headquarters location in practice — SF is listed as the nominal HQ on filings, but the team is genuinely distributed. Linear does not currently offer remote positions outside of the US and Europe geographic zones, so candidates in Asia-Pacific or Latin America would need to check the specific job listing for eligibility.

How does Linear handle async communication?+

Async communication is a foundational principle at Linear, not an afterthought. There are no daily standups. Instead, teams use weekly written updates that auto-post to Slack, so anyone can follow progress without attending a synchronous meeting. Project leads post two-paragraph async updates every Friday. The company holds a monthly one-hour all-hands to share metrics and demo upcoming releases. Linear’s own product is built for async team workflows, and the internal team uses it this way — making them a genuine practitioner of what they build.

Does Linear have mandatory office days or return-to-office requirements?+

No. Linear has no mandatory office days and no return-to-office policy. The optional coworking hubs in Berlin, New York, and San Francisco are explicitly described as places “for anyone who wants to work alongside teammates in person with no expectation to show up.” The annual company offsite and occasional travel are the only times the full team comes together. This stands in sharp contrast to companies like [Notion](https://jobsbyculture.com/companies/notion) or Vercel that have moved toward hybrid office-required models.

How does Linear compare to other remote-first dev tools companies?+

Linear is one of the most credibly remote-first companies in the developer tools space. [PostHog](https://jobsbyculture.com/companies/posthog) operates with a similar fully-distributed model across 35+ countries and a generous remote compensation policy. [GitLab](https://jobsbyculture.com/companies/gitlab), at 2,500+ employees across 65+ countries, has the most mature all-remote playbook in tech, documented in a public handbook. Vercel has shifted toward a hybrid model with stronger San Francisco gravity. Notion, while remote-friendly early on, has moved toward in-office expectations at its SF and NYC offices. Linear sits closest to PostHog in ethos: small, globally distributed, async-first, with deep focus on craft.

### Browse Linear’s open roles

Small team, high bar, fully remote. Filter by role type and see what’s available now.

[See Linear Jobs →](https://jobsbyculture.com/jobs?company=linear) [Linear Compensation 2026 →](https://jobsbyculture.com/blog/linear-compensation-2026)

---

## Document: LLM Inference Optimization: The 5 Techniques That Cut Cost 5-10x and Latency 3-5x (2026)

# LLM Inference Optimization: The 5 Techniques That Cut Cost 5-10x and Latency 3-5x (2026)

> The five inference techniques that separate production LLM systems from expensive demos: KV cache optimization, quantization, speculative decoding, Flash Attention, and continuous batching. Cuts cost 5-10x and latency 3-5x. Reach-for guide with when-to-use rules of thumb.

Source: https://jobsbyculture.com/blog/llm-inference-optimization-guide-2026
Markdown: https://jobsbyculture.com/blog/llm-inference-optimization-guide-2026.md
Last updated: 2026-07-14

---
Short answer — which technique to reach for first

-   **Cutting cost per token?** Start with **quantization** (INT8/INT4) and **continuous batching** (vLLM / TGI). Biggest wins with the least code.
-   **Cutting first-token latency?** Look at **Flash Attention** and **KV cache sizing / paged attention**. These attack the prefill bottleneck.
-   **Cutting inter-token latency?** **Speculative decoding** with a small draft model is the highest-leverage move.
-   **Serving long contexts?** Paged attention + sliding-window / chunked prefill. Naive KV cache breaks at 32k+.
-   **Just running open-weights models?** Use vLLM or TensorRT-LLM. They ship with most of the above pre-integrated.

If you're deploying LLMs in production in 2026, inference is almost certainly your biggest line item. Training gets the headlines, but inference is where the money actually goes — running models 24/7, at scale, for every user request. A single unoptimized 70B model can cost $100+/hour on A100s. Optimize that same model properly, and you're looking at $15-20/hour for equivalent throughput.

This isn't about squeezing out marginal gains. The difference between naive and optimized inference is often 5-10x in cost and 3-5x in latency. For [ML and AI engineers](https://jobsbyculture.com/jobs?role=ml-ai), understanding these techniques isn't optional anymore — it's the skill that determines whether your model ships or stays in a notebook.

5-10x

Cost reduction with optimization

80-90%

GPU utilization with batching

Live

[ML/AI roles hiring now](https://jobsbyculture.com/jobs?role=ml-ai)

## The Inference Tax: Why This Matters Now

Training a frontier model costs $50-200M. Serving it costs more — within months. OpenAI processes billions of tokens per day across ChatGPT, the API, and enterprise deployments. Anthropic, Google DeepMind, and every company building on LLMs faces the same math: inference compute dominates total cost of ownership.

The bottleneck is counterintuitive. LLM inference during token generation is **memory-bandwidth bound**, not compute-bound. Your GPU sits there, largely idle, waiting for weights and KV cache data to stream from HBM. An H100 has 3.35 TB/s of memory bandwidth but 1,979 TFLOPS of FP16 Tensor Core compute — during autoregressive decoding, you're barely using 10-20% of that compute capacity.

Every technique in this guide attacks the same fundamental problem: reduce the amount of data that needs to move through memory, and make better use of the data that does move.

## KV Cache: The Hidden Memory Hog

The Key-Value cache is the single most important concept in inference optimization. During autoregressive generation, every new token attends to all previous tokens. Without caching, you'd recompute attention for the entire sequence at every step — quadratic cost that makes long-context generation impossible.

The KV cache stores the key and value projections from every layer for every token generated so far. For a Llama 3 70B model with 80 layers and 64 attention heads, generating a 4096-token sequence requires:

// KV cache size calculation layers = 80 heads = 64 (8 KV heads with GQA) head\_dim = 128 seq\_len = 4096 dtype = float16 (2 bytes) // Per-token KV size: 2 \* layers \* kv\_heads \* head\_dim \* dtype per\_token = 2 \* 80 \* 8 \* 128 \* 2 = 327,680 bytes ~ 320 KB // Full sequence KV cache total = 320 KB \* 4096 = ~1.3 GB per sequence // With batch size 32: batch\_kv = 1.3 GB \* 32 = ~41 GB // often exceeds model weights!

That's 41 GB just for the KV cache with a modest batch size — often more than the quantized model weights themselves. This is why KV cache optimization matters so much.

### PagedAttention (vLLM)

Traditional KV cache allocation reserves contiguous memory for the maximum sequence length, even if most requests are short. PagedAttention, introduced by vLLM, borrows the idea of virtual memory paging from operating systems: KV cache is allocated in fixed-size blocks ("pages") and mapped via a page table. Memory waste drops from 60-80% to near zero.

In practice, this means you can serve 2-3x more concurrent requests on the same GPU. PagedAttention is now the default in vLLM, and variants have been adopted by most serving frameworks.

### Prefix Caching

If many requests share a common prefix (system prompt, few-shot examples, shared context), prefix caching computes the KV cache for that prefix once and reuses it across requests. For a 2000-token system prompt served to 1000 users, you save 2 billion tokens of redundant computation. Every major serving framework now supports this — it's particularly impactful for [RAG pipelines](https://jobsbyculture.com/blog/rag-architecture-guide-2026) where the same retrieved documents appear in multiple requests.

### Grouped-Query Attention (GQA)

GQA reduces KV cache size by sharing key-value heads across multiple query heads. Llama 3 uses 8 KV heads shared across 64 query heads — an 8x reduction in KV cache size compared to standard multi-head attention. This is a model architecture decision, not a serving optimization, but understanding it is crucial for capacity planning.

## Quantization: Doing More With Less

Quantization reduces model precision from FP16/BF16 (16 bits per parameter) to INT8 (8 bits), INT4 (4 bits), or even lower. It's the single highest-impact optimization you can apply to any model — smaller weights mean less memory, less bandwidth, and faster inference.

Format

Bits

Memory

Quality Loss

Best For

**FP8 (E4M3)**

8

2x reduction

Negligible

H100/H200 production serving

**INT8 (W8A8)**

8

2x reduction

<1% on benchmarks

General production serving

**INT4 (GPTQ)**

4

4x reduction

1-3% on benchmarks

Memory-constrained GPUs

**INT4 (AWQ)**

4

4x reduction

1-2% on benchmarks

Better quality than GPTQ

**GGUF (llama.cpp)**

2-8

2-8x reduction

Varies by quant level

Local/CPU inference

#### The practical rule of thumb

Start with FP8 on H100/H200 or INT8 (AWQ) on A100 — you'll barely notice quality degradation but cut memory in half. Only go to INT4 when you must fit a model on a smaller GPU. Below INT4, expect meaningful quality loss on complex reasoning tasks.

**GPTQ vs AWQ:** Both are post-training quantization methods for INT4. AWQ (Activation-Aware Weight Quantization) generally produces better quality by protecting the 1% of "salient" weights that disproportionately affect model output. GPTQ is faster to calibrate but slightly less accurate. For new deployments in 2026, AWQ is the default choice.

## Speculative Decoding: Getting Multiple Tokens Per Step

Standard autoregressive decoding generates one token per forward pass through the full model. Speculative decoding breaks this bottleneck using a clever asymmetry: **verifying N tokens in parallel is as cheap as generating one**.

The process works like this:

1.  **Draft phase:** A small, fast model (1-7B parameters) generates K candidate tokens autoregressively (K is typically 3-8).
2.  **Verify phase:** The full model processes all K candidates in a single forward pass, computing the probability of each candidate token given the previous ones.
3.  **Accept/reject:** Starting from the first candidate, accept tokens whose probabilities under the full model meet a threshold. Reject the first mismatch and resample from the full model's distribution.

If the draft model is good (and for predictable sequences like code, it usually is), you accept 70-90% of candidates. That means 3-6 tokens per forward pass of the main model, with _mathematically identical output distribution_ to standard decoding.

#### When not to use speculative decoding

Speculative decoding improves latency (time to complete a single request) but can _reduce_ throughput (total tokens per second across all users). If you're serving many concurrent users and GPU utilization is already high, the draft model's compute competes with the main model. Use it for latency-sensitive, low-concurrency scenarios — interactive coding, real-time agents, streaming responses.

## Flash Attention: Memory-Efficient Attention

Flash Attention rewrites the attention computation to avoid materializing the full N×N attention matrix in GPU HBM. Instead of computing attention as three separate operations (QKT, softmax, multiply by V), it fuses them into a single kernel that works on blocks of the attention matrix in fast SRAM.

The result: attention computation goes from O(N²) memory to O(N) — critical for long-context models. Flash Attention 2 and its successors are now the default in every major framework. You don't need to implement it — but you need to know it's there, because if you're seeing OOM errors on long sequences, missing Flash Attention is often the cause.

## Continuous Batching: Maximizing GPU Utilization

Static batching groups requests together and processes them as a unit. The problem: if one request in a batch generates 500 tokens and another generates 10, the GPU sits idle waiting for the long request to finish before processing new ones.

Continuous (or dynamic) batching solves this by inserting new requests into the batch as soon as any request completes. GPU utilization jumps from 30-40% to 80-90%, and average latency drops because short requests aren't held hostage by long ones.

vLLM, TGI, and TensorRT-LLM all support continuous batching out of the box. If you're serving a model without it, you're leaving 2-3x throughput on the table.

## Multi-GPU Strategies: Tensor vs Pipeline Parallelism

When a model doesn't fit on a single GPU, you have two main options:

-   **Tensor parallelism (TP):** Splits individual layers across GPUs. Each GPU holds a slice of every layer and they communicate via all-reduce at every layer. Requires high-bandwidth interconnect (NVLink). Best for 2-8 GPUs on the same node. Latency stays roughly constant as you add GPUs.
-   **Pipeline parallelism (PP):** Assigns different layers to different GPUs. GPU 1 does layers 0-19, GPU 2 does 20-39, etc. Requires less interconnect bandwidth but introduces "pipeline bubbles" (idle time between stages). Best for cross-node setups.

For most production setups in 2026: use TP=4 or TP=8 within a single node, and PP only when scaling across nodes. vLLM makes this straightforward with `--tensor-parallel-size`.

## The Inference Framework Landscape

Framework

Strengths

Weaknesses

When to Use

**vLLM**

PagedAttention, broad model support, active community, simple API

Slightly lower throughput than TRT-LLM on NVIDIA

Default choice for production serving

**TensorRT-LLM**

Maximum throughput on NVIDIA GPUs, deep H100/H200 optimization

Complex setup, NVIDIA-only, narrower model support

Maximum throughput on NVIDIA hardware

**TGI**

HuggingFace ecosystem, good documentation, easy deployment

Performance gap vs vLLM/TRT-LLM for large models

HuggingFace-centric workflows

**llama.cpp / Ollama**

CPU inference, GGUF quantization, runs anywhere

Not designed for high-throughput serving

Local development, edge deployment

**SGLang**

RadixAttention, structured output optimization, fast prefix caching

Younger project, smaller community

Structured generation, agentic workloads

## A Real-World Optimization Workflow

When you inherit a slow, expensive LLM deployment, here's the sequence that works:

1.  **Profile first.** Use `nvidia-smi`, PyTorch Profiler, or NSight Systems to identify the actual bottleneck. Is it memory (OOM at batch size 4)? Bandwidth (low GPU utilization during decoding)? Compute (slow prefill)?
2.  **Enable continuous batching.** Switch from static batching to vLLM or TGI. This alone often doubles throughput with negligible quality risk.
3.  **Quantize.** FP8 or INT8 first. Measure quality on your eval suite. If it holds, you've cut memory in half and can double your batch size.
4.  **Enable prefix caching.** If you have a shared system prompt (most production apps do), this is free throughput.
5.  **Tune batch size and concurrency.** Increase max batch size until you hit the throughput/latency tradeoff your SLA requires. More concurrent requests = better GPU utilization but higher per-request latency.
6.  **Consider speculative decoding.** If your latency SLA is tight and you're serving individual users (not batch), this can cut time-to-first-token by 2-3x.
7.  **Scale out.** If one GPU (or node) isn't enough, add tensor parallelism within nodes and pipeline parallelism across nodes.

#### The 80/20 rule of inference optimization

Steps 1-4 deliver 80% of the gains with minimal risk. Steps 5-7 require careful benchmarking and may introduce regressions. Don't skip to "advanced" techniques before nailing the fundamentals.

## Who's Hiring Inference Engineers

Inference optimization has gone from a niche specialization to one of the most in-demand skills in AI engineering. Companies building inference infrastructure are hiring aggressively:

-   **Anthropic** — [352 open roles](https://jobsbyculture.com/jobs?company=anthropic) including inference and systems engineering positions
-   **OpenAI** — [593 open roles](https://jobsbyculture.com/jobs?company=openai) across research and engineering
-   **Fireworks AI** — [dedicated inference platform](https://jobsbyculture.com/companies/fireworksai), building the fastest LLM serving stack
-   **Together AI** — [55 open roles](https://jobsbyculture.com/companies/together) focused on efficient inference and open-source models
-   **Modal** — [serverless GPU infrastructure](https://jobsbyculture.com/companies/modal) for inference workloads
-   **Cerebras** — [90 open roles](https://jobsbyculture.com/jobs?company=cerebras), wafer-scale inference with record-breaking token/s
-   **Mistral AI** — [163 open roles](https://jobsbyculture.com/jobs?company=mistral) at the leading European AI lab

Beyond pure-play inference companies, every organization deploying LLMs needs someone who can optimize their serving stack. Startups building [AI agents](https://jobsbyculture.com/blog/ai-agent-frameworks-compared-2026) and [RAG systems](https://jobsbyculture.com/blog/rag-architecture-guide-2026) are particularly hungry for this skill set.

## Skills to Build

If you want to work in this space, here's what matters most:

-   **Transformer architecture internals.** You need to understand multi-head attention, KV caching, and the prefill/decode distinction at a mechanical level — not just the paper-reading level.
-   **GPU memory hierarchy.** Know the difference between registers, shared memory (SRAM), L2 cache, and HBM. Understand why a kernel that's compute-bound behaves differently from one that's memory-bound. You don't need to write CUDA kernels, but you need to understand why they matter.
-   **At least one inference framework.** vLLM is the best starting point. Deploy a model, benchmark it, tune it. Read the source code — PagedAttention is remarkably elegant.
-   **Quantization hands-on.** Quantize a model with AWQ. Compare quality on a benchmark suite. Understand the calibration process and why some layers are more sensitive than others.
-   **Benchmarking and profiling.** Learn to measure time-to-first-token (TTFT), inter-token latency (ITL), and throughput (tokens/s) under realistic load patterns. Use tools like `genai-perf` from NVIDIA's Triton project.

vLLM TensorRT-LLM Flash Attention CUDA PyTorch AWQ GPTQ llama.cpp Triton SGLang

### Find inference & ML engineering roles

282+ ML/AI roles from companies building the next generation of LLM infrastructure.

[Browse ML/AI Jobs →](https://jobsbyculture.com/jobs?role=ml-ai) [AI Skills Hub →](https://jobsbyculture.com/ai)

## Frequently Asked Questions

What's the biggest bottleneck in LLM inference? +

Memory bandwidth, not compute. During the decode phase, LLM inference is memory-bound — the GPU spends most of its time waiting for model weights and KV cache data to load from HBM. This is why quantization and KV cache optimization have outsized impact on performance.

Should I use vLLM or TensorRT-LLM for production? +

vLLM is the safer default — broader model support, simpler setup, active community, and performance within 10-15% of TensorRT-LLM for most workloads. Choose TensorRT-LLM only when you need absolute maximum throughput on NVIDIA hardware and can invest the engineering time in its more complex build and deployment pipeline.

How much quality do I lose with INT4 quantization? +

With AWQ, typically 1-2% on standard benchmarks (MMLU, HumanEval, GSM8K). However, quality loss is task-dependent — creative writing and complex reasoning are more sensitive than classification or extraction. Always measure on your specific use case with your own eval suite, not just published benchmarks.

Can I run a 70B model on a single GPU? +

Yes, with INT4 quantization. A 70B model at INT4 requires ~35 GB of memory for weights alone, which fits on an A100 80GB or H100 80GB with room for KV cache. At FP16, you need at least 2x A100 80GB with tensor parallelism. For local development, llama.cpp can run INT4 70B models on a 64GB Mac with Apple Silicon.

What salary can inference engineers expect? +

Based on our research across AI companies, ML/inference engineers command $180k-$350k+ total compensation (base + equity) at well-funded AI companies. Senior inference engineers at frontier labs can exceed $400k. The premium reflects the direct revenue impact — a 2x improvement in serving efficiency saves millions per year in GPU costs. [See current ML/AI roles.](https://jobsbyculture.com/jobs?role=ml-ai)

What's the difference between prefill and decode in LLM inference? +

Prefill processes the entire input prompt in parallel (compute-bound, like training). Decode generates output tokens one at a time (memory-bandwidth-bound). They have completely different performance characteristics and bottlenecks, which is why disaggregated serving — running prefill and decode on separate GPU pools — is becoming a popular architecture for high-throughput deployments.

---

## Document: Mistral AI Compensation in 2026: Salary, Equity & Total Comp Breakdown

# Mistral AI Compensation in 2026: Salary, Equity & Total Comp Breakdown

> Mistral AI compensation breakdown for 2026: engineer salaries from €80k-€200k, BSPCE equity at $13.7B valuation, research scientist comp up to $950k, and how Paris pay compares to US AI labs.

Source: https://jobsbyculture.com/blog/mistral-compensation-2026
Markdown: https://jobsbyculture.com/blog/mistral-compensation-2026.md
Last updated: 2026-07-14

---
📍 Quick answer

Mistral engineers earn €120k–€280k+ base in 2026, with equity grants in a multi-billion-euro AI company. Compensation is competitive for European AI labs but typically below US frontier-lab levels — offset by lower cost of living and European work-life norms.

[Browse 0 live Mistral jobs →](https://jobsbyculture.com/jobs?company=mistral)

[Mistral AI](https://jobsbyculture.com/companies/mistral) has grown from a three-person research lab to Europe’s most valuable AI company in under three years. Founded in May 2023 by former DeepMind and Meta researchers Arthur Mensch, Guillaume Lample, and Timothée Lacroix, the company now employs over 1,000 people, has raised more than $3 billion, and is valued at $13.7 billion. Their open-weight models — Mixtral, Mistral Large, and Codestral — compete directly with OpenAI and Anthropic on benchmarks while maintaining a commitment to open research that sets them apart philosophically.

But here’s the question that every engineer considering Mistral asks: does the compensation make sense? Paris base salaries are lower than San Francisco. The equity comes through BSPCE (a French stock option mechanism most people outside France have never heard of). And the company is still private, meaning there’s no liquid market for your shares. We broke down the numbers using verified compensation data, H1B filings, and employee-reported figures to give you the complete picture.

## Mistral at a Glance

Founded

May 2023

Headquarters

Paris, France

Valuation

$13.7B (Series C, Sep 2025)

Total Funding

$3B+ across 8 rounds

Revenue

$400M+ ARR (targeting $1B by end 2026)

Employees

~1,000+

Glassdoor Rating

4.0 / 5.0

Open Roles

163 on JobsByCulture

$13.7B

Valuation

$400M+

Annual Revenue

163

Open Roles

## Engineer Compensation: Paris vs. US

Mistral’s compensation structure varies significantly between its Paris headquarters and its newer US office. Understanding both is essential for anyone evaluating an offer.

### Paris-based engineers (the majority of the team)

Level

Base Salary

Total Comp (est.)

Junior Engineer (L1)

€70k – €90k

€90k – €130k

Mid-Level Engineer (L2)

€90k – €120k

€130k – €180k

Senior Engineer (L3)

€120k – €165k

€180k – €250k+

These numbers include base salary plus the annualized value of BSPCE equity grants (see the equity section below for how to value these). The ranges are wide because Mistral’s equity component varies substantially based on when you joined — early employees received larger grants at much lower strike prices, making their total comp dramatically higher on paper.

### US-based engineers (San Francisco office)

For US-based roles, H1B filings show a median salary of $190,000. Total compensation for senior engineers in the US office is likely in the $250k–$400k+ range once equity is included, though publicly reported data is limited given the office’s small size.

## Research Scientist Compensation

This is where Mistral’s numbers get dramatic. AI research talent is the scarcest resource in the industry, and Mistral competes directly with [OpenAI](https://jobsbyculture.com/companies/openai), [Anthropic](https://jobsbyculture.com/companies/anthropic), and [DeepMind](https://jobsbyculture.com/companies/deepmind) for top researchers. Based on verified compensation reports:

Level

Base Salary

Total Comp (est.)

AI Researcher (Mid)

~$200k

~$490k

Staff AI Researcher

~$300k

$700k – $950k

The research scientist packages are competitive with US labs, reflecting the global nature of the AI talent market. At the staff level, the equity component is enormous — often 60–70% of total comp. These packages are the exception rather than the rule at Mistral, reserved for a small number of researchers who could credibly work at any frontier lab in the world.

## Understanding BSPCE: Mistral’s Equity Currency

#### What is BSPCE?

BSPCE (Bons de Souscription de Parts de Créateur d’Entreprise) is France’s tax-advantaged startup equity mechanism. Think of it as stock options with a favorable flat tax rate — currently 12.8% on gains plus social charges, compared to the higher marginal rates that would apply to regular income. It’s one of the reasons Paris has become competitive for startup equity compensation.

Mistral grants BSPCE with a standard 4-year vesting schedule and a 1-year cliff. Here’s what you need to understand about valuing them:

-   **Strike price matters enormously.** If you joined Mistral in 2023 when the company was valued at a few hundred million, your strike price is tiny relative to the current $13.7B valuation. Your options could be worth 10–50x their cost. If you join today, your strike price reflects the current valuation, so your upside depends on Mistral growing beyond $13.7B.
-   **They’re illiquid.** Unlike RSUs at public companies, you can’t sell BSPCE on the open market. Your options are worth nothing until a liquidity event — an IPO, acquisition, or organized secondary sale. Mistral has not announced IPO plans, though at $400M+ ARR and $13.7B valuation, the path is plausible.
-   **Tax treatment is favorable.** The 12.8% flat rate (plus 17.2% social charges) on BSPCE gains is significantly better than the marginal income tax rates that would otherwise apply to compensation of this magnitude in France. This is a real structural advantage of working for a French startup.
-   **Exercise costs at scale.** If your options are deep in-the-money and you want to exercise after the cliff, the out-of-pocket cost depends on your strike price times the number of shares. On a large grant, this can be a non-trivial amount of cash — and you’re paying to acquire an illiquid asset.

## How Mistral Compares to Other AI Labs

The question everyone asks: how does Mistral stack up against the US-based frontier labs? Here’s a side-by-side for a senior engineer:

Company

Senior Engineer Total Comp

Equity Type

[OpenAI](https://jobsbyculture.com/companies/openai)

$350k – $550k

PPUs (profit participation)

[Anthropic](https://jobsbyculture.com/companies/anthropic)

$300k – $490k

RSUs (private)

[DeepMind](https://jobsbyculture.com/companies/deepmind)

$300k – $450k

Google RSUs (public, liquid)

[Mistral AI](https://jobsbyculture.com/companies/mistral)

€180k – €250k+ (~$195k – $270k+)

BSPCE (private, tax-advantaged)

[Cohere](https://jobsbyculture.com/companies/cohere)

$200k – $350k (CAD)

Options (private)

On raw numbers, Mistral’s Paris-based senior engineers earn 30–50% less than their US counterparts at OpenAI or Anthropic. But the comparison is misleading if you stop there. Three factors tilt the math:

-   **Cost of living differential.** Paris is expensive by European standards but roughly 35–40% cheaper than San Francisco for housing. A one-bedroom in Le Marais costs about €1,500/month; the equivalent in SOMA costs $3,500+. Food, transportation, and healthcare are all substantially cheaper. An engineer earning €120k in Paris can live as well as one earning $200k in SF.
-   **Social safety net.** French employment contracts come with 25+ paid vacation days (many companies offer 30+), universal healthcare (including mental health), strong parental leave, and robust unemployment protection. These aren’t perks — they’re law. In the US, these benefits cost $20k–$40k in after-tax equivalent value.
-   **BSPCE tax efficiency.** The flat 12.8% + social charges on BSPCE gains is roughly half the marginal tax rate that applies to high-earning employees in California (federal + state can reach 50%+). On a large equity payout, this difference can be worth hundreds of thousands of dollars.

Compensation Context “When I factor in Paris rent, French healthcare, 30 vacation days, and the BSPCE tax rate, my effective compensation is closer to US labs than the base salary suggests.”

## The Equity Bet: Is Mistral’s BSPCE Worth It?

This is the central financial question for any Mistral offer. The answer depends entirely on your risk tolerance and how you value illiquid assets.

**The bull case:** Mistral is Europe’s leading AI company with $400M+ ARR growing rapidly toward $1B. The $13.7B valuation is supported by real revenue, not just hype. If Mistral IPOs at $25B–$50B (plausible given the trajectory), your BSPCE could be worth 2–4x their current implied value, and you’d pay just 12.8% tax on the gains. Early employees who joined at sub-$1B valuations are sitting on life-changing paper wealth.

**The bear case:** AI lab valuations are stretched across the board. Mistral faces fierce competition from OpenAI, Anthropic, Google, and Meta. Open-weight models face margin pressure. There’s no guaranteed liquidity timeline, and BSPCE holders can’t sell until an event materializes. You might be sitting on “paper value” for years with no way to convert it to cash. If Mistral’s next round is flat or down, your options could be underwater.

The pragmatic approach: value your BSPCE at 50% of their paper value when comparing offers. If the discounted number still makes the total comp work for your financial needs, take the bet. If you need every dollar of your comp to be liquid and predictable, [DeepMind](https://jobsbyculture.com/companies/deepmind) (Google RSUs) or a public company offers more certainty.

## Who Should Optimize for Mistral Comp

Mistral’s compensation structure works best for specific profiles:

-   **Europeans who want to stay in Europe.** If relocating to the US isn’t an option (or isn’t desirable), Mistral offers the closest thing to US-lab-tier total comp available in Paris. The only European alternatives at this level are [DeepMind London](https://jobsbyculture.com/companies/deepmind) and a handful of quant firms.
-   **Early-career engineers willing to take equity risk.** If your expenses are low and you can afford to have 40–60% of your comp be illiquid, the BSPCE upside at Mistral’s growth rate could be the most asymmetric financial bet available in European tech.
-   **Researchers with multiple competing offers.** At the staff research level, Mistral’s packages ($700k–$950k total) are competitive with any lab globally. The tax efficiency of BSPCE means the after-tax value can actually exceed US-based alternatives.
-   **People who value the Paris lifestyle.** If you’ve priced in 30 vacation days, a walkable city, world-class food, and the EU’s social protections, you may find that an €120k base buys a quality of life that $200k in SF can’t match. Compensation is about what you keep and how you live, not just the number on the offer letter.

Mistral is _not_ the right financial choice if you need maximum liquid cash flow immediately (take a FAANG offer instead), if you’re deeply risk-averse about illiquid equity (choose [DeepMind](https://jobsbyculture.com/companies/deepmind) for Google RSUs), or if you’re optimizing purely for base salary (US-based AI companies will always win on raw numbers).

## Open Positions at Mistral

Mistral currently has **168 open roles** on our platform across research, engineering, infrastructure, and go-to-market. The majority are Paris-based, with a growing number in San Francisco and London. For the full culture profile including employee reviews, Glassdoor data, and side-by-side comparisons, visit the [Mistral culture profile](https://jobsbyculture.com/companies/mistral).

## Frequently Asked Questions

What is the average salary at Mistral AI in 2026?+

Software engineer base salaries at Mistral AI range from €70k to €165k for Paris-based roles, with US-based H1B positions at a median of $190k. Total compensation including equity can reach €250k+ for senior engineers in Paris and significantly more for research roles. See our [full compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) for comparisons across AI companies.

How much do Mistral AI research scientists earn?+

Based on verified compensation data, mid-level AI researchers at Mistral earn around $490k in total compensation. Staff AI researchers can earn $700k to $950k total, with base salaries around $300k and substantial BSPCE equity grants making up the remainder. These packages are competitive with [OpenAI](https://jobsbyculture.com/companies/openai) and [Anthropic](https://jobsbyculture.com/companies/anthropic).

What is BSPCE and how does it work at Mistral?+

BSPCE (Bons de Souscription de Parts de Créateur d’Entreprise) is France’s tax-advantaged startup equity mechanism. It functions like stock options but with a favorable flat tax rate on gains (currently 12.8% plus social charges). Mistral grants BSPCE with a standard 4-year vesting schedule and 1-year cliff. At Mistral’s $13.7B valuation, these options carry significant potential value — but they’re illiquid until an IPO or secondary event.

How does Mistral AI compensation compare to OpenAI or Anthropic?+

Mistral’s base salaries in Paris are 30–50% lower than US-based AI labs. However, when adjusted for Paris’s lower cost of living, France’s social benefits (25+ vacation days, universal healthcare), and the favorable BSPCE tax rate (12.8% vs 40–50% in California), the effective gap narrows considerably. At the research scientist level, Mistral’s total comp ($490k–$950k) is directly competitive.

What is Mistral AI’s current valuation?+

Mistral AI is valued at $13.7 billion as of its September 2025 Series C round, making it Europe’s most valuable AI company. The company raised an additional $830M in March 2026 to build a data center near Paris, bringing total funding to over $3 billion. Revenue has surpassed $400M ARR with a target of $1B by end of 2026.

Does Mistral AI offer remote work?+

Mistral AI is primarily Paris-centric with limited remote options. The company has expanded to offices in San Francisco and London, but most roles are based in Paris. Engineering and research roles generally require in-office presence. If [remote work](https://jobsbyculture.com/values/remote) is your top priority, consider companies like [PostHog](https://jobsbyculture.com/companies/posthog), [GitLab](https://jobsbyculture.com/companies/gitlab), or [Zapier](https://jobsbyculture.com/companies/zapier).

### Browse Mistral’s 168 open roles

See research, engineering, and infrastructure positions at Mistral alongside roles from 118 AI & tech companies — all with culture context.

[View Mistral Jobs →](https://jobsbyculture.com/companies/mistral) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Modal Compensation 2026: Salary, Equity & Total Comp at the Fastest-Growing Cloud Startup

# Modal Compensation 2026: Salary, Equity & Total Comp at the Fastest-Growing Cloud Startup

> Modal (Modal Labs) compensation in 2026: engineer salary ranges, equity at a $2.5B+ valuation, total comp breakdown, and how it compares to other AI infrastructure companies.

Source: https://jobsbyculture.com/blog/modal-compensation-2026
Markdown: https://jobsbyculture.com/blog/modal-compensation-2026.md
Last updated: 2026-07-14

---
TL;DR — Key Takeaways

-   Modal engineer base salaries are estimated at **$180K–$250K**, with total comp significantly higher once equity is included — though exact figures are limited given the company's size and stage.
-   The company went from a **$7M seed (2022) → $1.1B Series B (2025) → reportedly $2.5B–$4.5B** target for 2026 — making early equity grants potentially life-changing.
-   Modal hit an estimated **$300M ARR** by April 2026, up from ~$6M in early 2025 — roughly 50x revenue growth in 18 months. Revenue per employee is among the highest in AI infrastructure.
-   Glassdoor overall: **4.0/5**; WLB: **3.8/5**; CEO Approval: **88%**. Small team, [engineering-driven](https://jobsbyculture.com/values/eng-driven), NYC-based.

[Modal](https://jobsbyculture.com/companies/modal) is one of the most unusual compensation stories in AI infrastructure right now. Not because it pays the highest base salary — it probably doesn't — but because the equity math is unlike almost anything else in the market. A company that went from a $7 million seed round to $300 million in annualized revenue in roughly three years, with fewer than 150 employees, creates an equity dynamic that's closer to [Cursor](https://jobsbyculture.com/companies/cursor) than to a typical Series B cloud company.

Founded by Erik Bernhardsson (who built Spotify's recommendation engine and ran a 300-person engineering team at Better.com), Modal makes serverless cloud computing for AI workloads. You write a Python function, Modal turns it into an autoscaling cloud workload with GPU acceleration. It's the kind of developer tool that engineers fall in love with — and the revenue growth reflects that. Understanding what Modal pays requires understanding what kind of company this is and where it's likely headed.

## Quick Stats at a Glance

Company

Modal Labs, Inc.

Founded

2021, New York

Employees

~110–150

ARR

~$300M (Apr 2026)

Last Valuation

$1.1B (Series B, Sep 2025)

Reported Next Round

$2.5B–$4.5B target

Total Funding

~$110M raised

Glassdoor Rating

4.0 / 5.0

Work-Life Balance

3.8 / 5.0

CEO Approval

88% (Erik Bernhardsson)

Open Roles

31

## Base Salary & Total Comp

Modal is still small enough that comprehensive salary data is limited. Unlike [Stripe](https://jobsbyculture.com/blog/stripe-compensation-2026) or [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026), where hundreds of data points exist, Modal's roughly 150-person team means only a handful of verified reports are publicly available. Here's what we can piece together from compensation reports, job posting data, and market comparables.

### Estimated salary bands

MTS (Member of Technical Staff)

$180K–$220K base

Senior MTS

$210K–$250K base

Forward Deployed Engineer

$180K–$230K base

Engineering Manager

$220K–$260K base

These base salary ranges are competitive with peer AI infrastructure companies but not exceptional. Where Modal stands out is the equity component — and that's where the conversation gets genuinely interesting.

~50x

Revenue Growth (18 months)

$2M+

Revenue per Employee

$1.1B

Last Known Valuation

## The Equity Story: Why It Dominates the Comp Conversation

Modal's funding trajectory tells the real compensation story:

-   **Seed (2022):** $7M led by Amplify Partners
-   **Series A (Oct 2023):** $16M led by Redpoint Ventures
-   **Series B (Sep 2025):** $87M led by Lux Capital at $1.1B post-money
-   **Reported Series C (2026):** $150–250M at $2.5B–$4.5B, with General Catalyst, Accel, and Redpoint reportedly in discussion

If you received equity at the Series A valuation and the company closes at $4.5B, your shares are worth roughly 4x their grant-date value in just two to three years. For seed-stage employees, the multiple is dramatically higher. This is the dynamic that makes Modal compensation unusual: the base salary is market-rate, but the equity appreciation has been extraordinary for anyone who joined before mid-2025.

For someone joining today at a $2.5B–$4.5B valuation, the equity math is different but still interesting. Modal is doing $300M ARR growing rapidly. If the company reaches $1B ARR and a 15–20x revenue multiple at IPO, you're looking at a $15B–$20B outcome. Whether that represents 3x or 5x from your entry valuation depends on when exactly you join and what the next round prices at.

### Key equity considerations

-   **Stock option type:** Modal likely grants ISOs (Incentive Stock Options) up to the $100K annual exercise limit, with NSOs above that threshold. ISOs have favorable tax treatment if you hold for 1+ year after exercise.
-   **Vesting:** Standard 4-year vest with 1-year cliff is the market norm for companies at this stage.
-   **Liquidity:** Modal is private. There's no public secondary market or established tender offer program that we're aware of. Your equity is paper wealth until an IPO, acquisition, or secondary sale.
-   **Dilution:** Each funding round dilutes existing shareholders. The Series B likely diluted seed and Series A holders by 15–20%. The reported Series C will dilute further. This is normal, but factor it into your math.

Why This Matters "Modal's $300M ARR with ~150 employees means roughly $2M in revenue per employee — a ratio that puts it alongside the most capital-efficient companies in tech. That efficiency directly supports both compensation levels and equity value."

## How Modal Compares to Peers

Modal sits in the AI infrastructure space alongside companies like [Vercel](https://jobsbyculture.com/companies/vercel), [Anyscale](https://jobsbyculture.com/companies/anyscale) (Ray/Anyscale), Replicate, Together AI, and [Baseten](https://jobsbyculture.com/companies/baseten). Here's how the compensation picture stacks up.

### Comparison: AI Infrastructure Comp

Modal

$180K–$250K base + high equity upside at $1.1B–$4.5B

[Vercel](https://jobsbyculture.com/companies/vercel)

$190K–$270K base at ~$3.5B valuation

[Anyscale](https://jobsbyculture.com/companies/anyscale)

$180K–$260K base at ~$1B valuation

[Together AI](https://jobsbyculture.com/companies/together)

$200K–$280K base at ~$3.3B valuation

[Baseten](https://jobsbyculture.com/companies/baseten)

$170K–$240K base at ~$400M valuation

Base salaries are broadly similar across the peer group. The differentiation is in equity trajectory. Modal's 50x revenue growth rate is exceptional — only [Cursor](https://jobsbyculture.com/companies/cursor) has a comparable trajectory in the current market.

Against the larger AI labs, Modal's base salary is lower. [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026) pays $300K–$490K total comp, [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026) $350K–$550K+. But those companies are at $150B+ valuations. The equity upside ceiling is fundamentally different. Modal at $2.5B has more room to multiply than Anthropic at $150B — if you believe the company will continue its trajectory.

## Benefits & Perks

Modal is a Series B startup with roughly 150 employees. The benefits package reflects that stage — solid but not the comprehensive offering you'd get at [Stripe](https://jobsbyculture.com/companies/stripe) or [Databricks](https://jobsbyculture.com/companies/databricks).

-   **Healthcare:** Comprehensive medical, dental, and vision coverage
-   **Equity:** Stock options as part of the compensation package
-   **Learning:** Modal's culture values continuous learning — 88% CEO approval and a [learning culture](https://jobsbyculture.com/values/learning) tag in our directory
-   **Work environment:** NYC office. The team values [deep work](https://jobsbyculture.com/values/deep-work) and focused collaboration

The honest caveat: at ~150 people, Modal's HR infrastructure is still developing. Career ladders, formal review processes, and structured promotion criteria are likely less mature than at companies with 500+ employees. Employee reviews note that "roles shift quickly" and "high self-direction is required." If you need clear career progression frameworks, this is worth probing in interviews.

Employee Con "Limited HR infrastructure — benefits and career ladders still being developed. Early-stage dynamics mean roles shift quickly."

## Culture & Work-Life Balance

Modal's 4.0 Glassdoor rating and 3.8 WLB score are strong for a high-growth startup. For context, [Cursor](https://jobsbyculture.com/companies/cursor) has a 3.5 WLB score and [Scale AI](https://jobsbyculture.com/companies/scale) has 2.7. Modal is not a work-life balance paradise, but it's meaningfully better than the most intense companies in AI.

Overall Rating 4.0

CEO Approval 88%

Recommend to Friend 82%

Work-Life Balance 3.8

The culture is defined by Modal's values: [engineering-driven](https://jobsbyculture.com/values/eng-driven), [ship fast](https://jobsbyculture.com/values/ship-fast), [deep work](https://jobsbyculture.com/values/deep-work), and [open source](https://jobsbyculture.com/values/open-source). Erik Bernhardsson built the team with olympiad medalists, the creators of Luigi (the popular Python pipeline library) and Seaborn (the data visualization library). This isn't a company where you'll be writing JIRA tickets — it's a company where you'll be writing infrastructure that handles millions of GPU hours per month.

The [many-hats](https://jobsbyculture.com/values/many-hats) culture means your job description is a starting point, not a boundary. At a 150-person company doing $300M ARR, every engineer has outsized impact on the product and the bottom line. That's exciting for people who want ownership, and exhausting for people who want clear role boundaries.

## Negotiation Tips for Modal Offers

### 1\. Ask about the next round

Modal's next funding round will reset the valuation at which your equity is priced. If the round hasn't closed, your grant might be priced at the Series B ($1.1B) valuation rather than the higher target. Timing matters — ask where they are in the fundraising process.

### 2\. Understand the option exercise window

If you leave, how long do you have to exercise your vested options? The standard is 90 days, but some companies (especially post-Y Combinator) offer extended windows of 7–10 years. This matters enormously for tax planning and risk management.

### 3\. Push on base salary, not just equity

Equity is speculative until there's a liquidity event. If you're joining at a $2.5B+ valuation, make sure the base salary is genuinely competitive. Use our [AI engineer salary guide](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026) as a benchmark.

### 4\. Ask about secondary sales

At a $2.5B+ valuation with $300M ARR, it's reasonable to ask whether the company has explored secondary share sales for employees. This could provide liquidity before an IPO.

### Explore Modal Opportunities

Browse all 33 open roles at Modal, from MTS to Forward Deployed Engineer.

[Browse Modal Jobs →](https://jobsbyculture.com/jobs?company=modal) [View Culture Profile →](https://jobsbyculture.com/companies/modal)

## Frequently Asked Questions

What is the salary range for engineers at Modal? +

Based on our research, Modal engineers earn estimated base salaries of $180K–$250K depending on level and role. Total compensation including equity is significantly higher, though exact figures depend on grant size and the company's rapidly rising valuation.

How does Modal's equity work? +

Modal is a private, venture-backed company. Equity is granted as stock options. The company raised an $87M Series B at a $1.1B valuation in September 2025 and is reportedly in talks to raise at $2.5B+. Early employees who received grants at lower valuations stand to benefit significantly.

How does Modal compensation compare to Anthropic or OpenAI? +

Modal's base salary is lower than frontier AI labs. Anthropic pays $300K–$490K total comp, OpenAI $350K–$550K+. But those companies are at $150B+ valuations with less equity upside. Modal at $2.5B has more room for equity appreciation — if you believe in the company's trajectory.

What is Modal's valuation in 2026? +

Modal raised its Series B at a $1.1B post-money valuation in September 2025. As of early 2026, the company was reportedly in talks to raise $150–250M at a valuation between $2.5B and $4.5B, reflecting roughly $300M in annualized revenue.

Does Modal offer remote work? +

Modal is headquartered in New York City with a strong in-office culture. Most engineering roles are based in NYC. The company values deep collaboration and focused work sessions, which favors in-person presence — though some roles may offer flexibility.

How many people work at Modal? +

Modal has approximately 110–150 employees as of mid-2026. The team is intentionally lean relative to revenue ($300M ARR), making it one of the most capital-efficient companies in AI infrastructure.

---

## Document: MongoDB Compensation in 2026: $163K–$1M+ by Level (SE2 to Senior Staff)

# MongoDB Compensation in 2026: $163K–$1M+ by Level (SE2 to Senior Staff)

> MongoDB engineer salary breakdown by level in 2026: SE2 ($163K), Senior ($356K), Staff ($572K), Senior Staff ($1M+). Base, equity, bonus details plus how MDB stock impacts total comp.

Source: https://jobsbyculture.com/blog/mongodb-compensation-2026
Markdown: https://jobsbyculture.com/blog/mongodb-compensation-2026.md
Last updated: 2026-07-14

---
[MongoDB](https://jobsbyculture.com/companies/mongodb) is a public company (NASDAQ: MDB) with $2.46 billion in annual revenue, 5,640 employees, and one of the most recognized [open-source](https://jobsbyculture.com/values/open-source) database products in the world. For engineers evaluating an offer or negotiating a raise, understanding how MongoDB structures compensation — and where it sits relative to peers like [Snowflake](https://jobsbyculture.com/companies/snowflake), [Databricks](https://jobsbyculture.com/companies/databricks), and [Datadog](https://jobsbyculture.com/companies/datadog) — is essential.

We analyzed verified compensation data across engineering levels to build a complete picture of what MongoDB pays in 2026, how equity works at current stock prices, and where the notable gaps are (spoiler: no 401k match).

$380K

Median Total Comp

$298

MDB Stock Price

$2.46B

FY2026 Revenue

## Compensation by Engineering Level

MongoDB uses a leveling system from SE2 (entry/junior) through Senior Staff Software Engineer. Here’s how total compensation breaks down at each level based on verified employee-reported data:

Level

Base Salary

Equity (RSU/yr)

Bonus

Total Comp

SE2 (Junior)

$130K–$155K

$20K–$40K

$10K–$15K

~$163K–$210K

SE3 (Mid)

$155K–$185K

$40K–$80K

$20K–$30K

~$220K–$295K

Senior SE

$185K–$220K

$100K–$180K

$30K–$50K

~$315K–$430K

Staff SE

$210K–$250K

$200K–$380K

$50K–$80K

~$465K–$720K

Senior Staff SE

$250K–$300K

$400K–$700K

$80K–$120K

~$730K–$1.09M+

The median total compensation across all engineering levels is $380K. For context, the median Senior Engineer earns approximately $356K, and the median Staff Engineer earns approximately $572K. The range within each level is significant — driven by location (New York vs. Dublin vs. Austin), negotiation, and timing of stock grants relative to MDB price movements.

## How MongoDB Equity Works

MongoDB compensates engineers with RSUs (Restricted Stock Units) that vest over a standard 4-year schedule. As a public company trading at ~$298/share, the equity is liquid immediately upon vesting — unlike private company equity, there’s no liquidity event to wait for.

This is a meaningful advantage over private companies in our directory. At a company like [Databricks](https://jobsbyculture.com/companies/databricks) or [Stripe](https://jobsbyculture.com/companies/stripe), your equity is paper wealth until an IPO or secondary sale. At MongoDB, every quarter your vested shares can be sold at market price.

### The MDB stock factor

MDB trades at approximately $298 as of May 2026. The stock has been volatile — ranging from roughly $200 to $500+ over the past three years. This means your effective compensation can vary significantly depending on when your RSUs were granted versus when they vest.

If you received a grant when MDB was at $400 and the stock is now $298, your annual equity component is worth 25% less than expected. Conversely, if you joined when MDB was $220 and it’s now $298, you’re up 35%. This is the reality of stock-based compensation at any public company — but it’s worth modeling both scenarios when evaluating an offer.

Analysts currently have a consensus price target of $369 for MDB (approximately 23% upside), driven by the company’s 23% revenue growth and strong Q4 FY2026 results ($695M revenue, beating estimates by 3.7%).

## The 401k Gap: MongoDB’s Most Notable Compensation Miss

The most common compensation complaint in MongoDB employee reviews is the lack of a 401k match. For a company with $2.46 billion in revenue and 5,640 employees, this is a conspicuous absence.

Employee Con “No 401k match is surprising for a company this size and this profitable. It’s the one benefit that makes you feel like they’re leaving money on the table for employees.”

To quantify the impact: a typical 4% employer match on a $200K base salary would be $8,000/year. Over a 4-year tenure, that’s $32,000+ in missed retirement contributions (before compounding). For senior engineers earning $220K+ base, the gap is even larger.

Most comparable companies in developer infrastructure offer 401k matching: [Snowflake](https://jobsbyculture.com/companies/snowflake), [Datadog](https://jobsbyculture.com/companies/datadog), [Cloudflare](https://jobsbyculture.com/companies/cloudflare), and [Elastic](https://jobsbyculture.com/companies/elastic) all provide it. MongoDB’s compensation philosophy clearly prioritizes equity grants over benefits — but for engineers who value retirement planning, this is a legitimate consideration.

## How MongoDB Compares to Peers

Where does MongoDB sit in the developer infrastructure compensation landscape? Here’s how Senior Engineer total comp compares across the companies engineers are most likely considering alongside MongoDB:

Company

Senior SE Total Comp

401k Match

Equity Type

[Databricks](https://jobsbyculture.com/companies/databricks)

$400K–$550K

Yes

RSUs (private)

[Snowflake](https://jobsbyculture.com/companies/snowflake)

$380K–$480K

Yes

RSUs (public)

[MongoDB](https://jobsbyculture.com/companies/mongodb)

$315K–$430K

No

RSUs (public)

[Datadog](https://jobsbyculture.com/companies/datadog)

$310K–$420K

Yes

RSUs (public)

[Elastic](https://jobsbyculture.com/companies/elastic)

$280K–$380K

Yes

RSUs (public)

MongoDB pays competitively within its tier — slightly above Datadog, well above Elastic, but below the premium that Databricks and Snowflake command. The key differentiator for MongoDB is the combination of public liquidity (your stock is immediately sellable), strong revenue growth (23% YoY), and the fact that MDB is arguably undervalued at current levels if you believe in the long-term database market thesis.

## Non-Salary Compensation and Benefits

Beyond base and equity, MongoDB offers:

-   **Annual bonus** — typically 10–20% of base salary, tied to company and individual performance
-   **Flexible hybrid work** — most teams operate on a hybrid model with office days varying by team (New York, Dublin, Austin offices)
-   **World-class enablement** — employees consistently rate MongoDB’s internal training programs as best-in-class, particularly for sales and engineering
-   **Equity refreshers** — annual RSU refresh grants for strong performers, typically 25–50% of initial grant size
-   **Global offices** — New York (HQ), Dublin, Austin, Sydney, and other locations provide geographic flexibility

Employee Pro “Compensation is solid, especially at senior levels. The equity has been meaningful — MDB has real growth ahead of it. Best enablement programs I’ve experienced at any tech company.”

## Negotiation Leverage Points

If you’re evaluating or negotiating a MongoDB offer, here are the highest-leverage points based on our analysis of compensation patterns:

-   **Equity is the biggest variable.** Base salary bands at MongoDB are relatively narrow (20–30% spread per level), but equity grants can vary 2–3x within the same level. Push hard on initial RSU grant size — it’s where the most money is.
-   **Competing offers from Databricks/Snowflake create real leverage.** MongoDB knows these are their primary talent competitors. A credible competing offer from either company can unlock the upper band of MongoDB’s compensation range.
-   **Stock grant timing matters.** If MDB is trading near its 52-week high when you receive your offer, your grant will be fewer shares at a higher price. If it’s near the low, you get more shares. Consider asking for a signing bonus to offset unfavorable timing.
-   **Level matters more than base.** The jump from SE3 to Senior is ~$100K+ in total comp. If you’re borderline, negotiate for the higher level rather than a slightly higher base at the lower level.
-   **Factor in the 401k gap.** When comparing offers, add $8K–$12K/year to competitors who offer 401k matching. Over a 4-year tenure, that’s $32K–$48K in additional retirement savings you’re giving up at MongoDB.

## Who Gets Paid Best at MongoDB

Based on compensation patterns, the highest-paid engineers at MongoDB tend to be those working on:

-   **Atlas (cloud database) infrastructure** — MongoDB’s fastest-growing revenue line and highest strategic priority
-   **Search and AI/vector capabilities** — the company’s competitive response to purpose-built vector databases
-   **Core database engine** — distributed systems, storage engine, and query optimizer experts command premium comp
-   **Security and compliance** — enterprise customers demand it, and the talent is scarce

The engineering team benefits from MongoDB’s position as a genuinely [engineering-driven](https://jobsbyculture.com/values/eng-driven) company where technical contribution directly influences product direction. The database is used by millions of developers — the [product impact](https://jobsbyculture.com/values/product-impact) is tangible and the technical challenges (distributed consensus, query optimization, storage engines) are genuinely hard.

## Open Positions at MongoDB

MongoDB currently has **381 open positions** on our platform across engineering, sales, marketing, and operations. Engineering roles include distributed systems, cloud infrastructure (Atlas), search/AI, and developer experience. For full role details and culture context, visit the [MongoDB culture profile](https://jobsbyculture.com/companies/mongodb).

## Frequently Asked Questions About MongoDB Compensation

What is the average MongoDB engineer salary in 2026?+

The median total compensation for a Software Engineer at MongoDB is approximately $222K, while the median across all engineering levels is $380K. This includes base salary, RSU equity, and annual bonus. Senior engineers earn a median of $356K, and Staff engineers earn a median of $572K. See the full level-by-level breakdown in our [MongoDB profile](https://jobsbyculture.com/companies/mongodb).

How much do MongoDB Senior Engineers make?+

MongoDB Senior Software Engineers earn a median total compensation of approximately $356K per year. This typically breaks down to $185K–$210K base salary, $100K–$180K in RSU equity (vesting over 4 years), and a $30K–$50K annual bonus. The range spans $315K–$430K depending on location and negotiation.

Does MongoDB offer a 401k match?+

No. MongoDB does not currently offer a 401k match, which is unusual for a company of its size (~5,640 employees) and revenue ($2.46B). This is one of the most common criticisms in employee reviews. Most comparable companies (Snowflake, Datadog, Cloudflare, Elastic) do offer 401k matching.

How does MongoDB compensation compare to Snowflake?+

Snowflake pays approximately 10–20% more than MongoDB at the Senior Engineer level ($380K–$480K vs. $315K–$430K). Snowflake also offers 401k matching. However, MongoDB’s stock may have more upside potential at current valuations, and the work-life balance tends to be better (3.8/5 vs. Snowflake’s reputation for intensity).

What is MongoDB’s stock ticker and current price?+

MongoDB trades on NASDAQ under the ticker MDB at approximately $298 per share as of May 2026. The company generated $2.46B in FY2026 revenue with 23% year-over-year growth. Analyst consensus price target is $369, representing about 23% potential upside.

What are MongoDB’s engineering levels?+

MongoDB uses a leveling system for engineers: SE2 (Junior), SE3 (Mid-level), Senior Software Engineer, Staff Software Engineer, and Senior Staff Software Engineer. Total compensation ranges from ~$163K at SE2 to $1M+ at Senior Staff. The biggest compensation jump is from Senior to Staff, where equity grants increase dramatically.

### Explore MongoDB’s 381 open roles

See all positions with compensation context, culture values, and side-by-side comparisons with Snowflake, Databricks, and more.

[View MongoDB Profile →](https://jobsbyculture.com/companies/mongodb) [Browse Open Jobs →](https://jobsbyculture.com/jobs?company=mongodb)

---

## Document: New Job Congratulations Messages: 60 Heartfelt Examples for Every Relationship

# New Job Congratulations Messages: 60 Heartfelt Examples for Every Relationship

> 60 ready-to-use new job congratulations messages — short, heartfelt, funny, professional, and ones for the people closest to you. Find the perfect words to send when someone you care about lands their next role.

Source: https://jobsbyculture.com/blog/new-job-congratulations-messages
Markdown: https://jobsbyculture.com/blog/new-job-congratulations-messages.md
Last updated: 2026-07-14

---
If you only need one

"So thrilled for you on the new role — they're getting someone who actually cares about the work. Can't wait to hear what you build. Congrats."

Open with warmth. Name the specific role or company. Add one sentence about what they bring. Close with confidence. Skip "good luck in your new endeavor" — it's the participation trophy of professional congratulations.

Someone you know just got a new job. Maybe it's your sister who finally heard back from [Anthropic](https://jobsbyculture.com/companies/anthropic) after three rounds. Maybe it's the friend who left a company they were miserable at and just signed with [Linear](https://jobsbyculture.com/companies/linear). Maybe it's your direct report who you helped prep for the interview, or your best friend's husband, or a coworker who's leaving for a competitor. The message you send today gets screenshotted, saved, and re-read on day one when they need a reminder that someone is rooting for them.

What follows is 60 ready-to-use new job congratulations messages, organized by relationship and tone. The goal isn't to give you something to paste — it's to give you something to start from, then make it yours by adding one specific detail. (More on that at the end.)

## Short and Sweet

For group cards, LinkedIn comments, and the quick text you send between meetings. Under 20 words, warm enough to feel personal.

1.  Congratulations on the new role — they're so lucky to have you.
2.  Huge news! So happy for you.
3.  You did it. Big things ahead.
4.  Cheering you on from day one. Go get it.
5.  This is your moment. Take it.
6.  Couldn't have happened to a better person. Congrats.
7.  New chapter, new chaos, new wins. So excited for you.
8.  You earned every bit of this. Congrats!
9.  The dream team just hired a dream. Congratulations.
10.  So proud of you. They're going to love what you bring.

## Heartfelt — for Close Friends and Family

When the person on the other end is someone whose career you've watched unfold — the late-night prep, the disappointments, the practice interviews — a generic message won't do.

1.  I've watched you work toward this for so long. The early mornings, the late edits, the interviews that didn't go the way you wanted — all of it. Today is the payoff. So unbelievably proud of you.
2.  I know you'll downplay this and say it was luck. It wasn't. You built the skills, did the work, and held your nerve. This is the result of all of it. Congratulations.
3.  You took a leap when most people would have stayed comfortable. That courage is exactly what your new team needs. Can't wait to see what you do.
4.  When you told me you were applying, I knew. I've never seen you go after something you didn't get eventually. Congrats on the new role — they're getting the best version of you.
5.  I'm so glad you trusted yourself enough to take this step. The next year is going to change you in the best ways. Cheering you on, always.
6.  Every job has hard days. On the hardest ones, remember: they chose you out of hundreds. They saw what we've always seen. You belong here.
7.  Today is one of those days I'll remember — the day you got the news. So happy for you, so excited for what's next.
8.  You've grown into the person who could land this job. And the person who landed this job is going to keep growing. Congratulations.
9.  The world feels a little better when good people get the roles they deserve. Today is one of those days. Love you. So proud.
10.  I'm raising a glass to you tonight whether you're here or not. To the new role, to the journey, to the next chapter. Cheers.

## For a Friend or Coworker Leaving for a Bigger Company

The person you'll miss is the same person whose new job you have to celebrate. These walk the line: warm, specific, and gracious without being sad about losing them.

1.  Honestly couldn't be happier for you. [Stripe](https://jobsbyculture.com/companies/stripe) is the right next step and you're going to crush it. We'll miss you here, but stay in touch.
2.  I'm a little jealous and a lot happy for you. Cherish the imposter syndrome of the first three months — it goes away faster than you think. Congrats.
3.  It feels like the team is losing a teammate and gaining an alumni connection at a place we've all admired. That's a good trade for you, even if it's hard for us. Congrats.
4.  You leaving for [Anthropic](https://jobsbyculture.com/companies/anthropic) is the most predictable career move I can think of. You've been working on this kind of problem in your head for years. Go build it.
5.  Every team you've been on has gotten better because you were there. The new one is in for a treat. Congratulations.
6.  This is bittersweet from our side — you've been the team's heart for so long — but it's the right move and we're rooting for you. Crush it.
7.  If anyone earned a spot at a frontier company, it's you. Years of careful, thoughtful work. Now you get the surface area you deserve. Congrats.
8.  The fact that you didn't even apply — they came to you — tells you everything about how the industry sees your work. Congratulations.
9.  Take the institutional knowledge with you. Steal the good practices. Leave the bad ones behind. We're rooting for you.
10.  I'm so excited for you, and a little wistful for our team. Both can be true. Congrats on the new chapter.

## For a Direct Report or Mentee

Watching someone you mentored grow into their next role is one of the better things about a career. The message should reflect that you saw them clearly the whole way.

1.  From the day you joined, I could see this trajectory. You worked harder, asked better questions, and grew faster than anyone I've managed in years. The new role is a fit, and you'll thrive there.
2.  You don't need a manager anymore. You need a peer group. The new role gives you that. So proud of you. Go.
3.  I knew this conversation was coming — I've been watching you outgrow this team for six months. Congratulations on the next step. You earned it.
4.  The hardest part of being a good manager is being genuinely happy when your best people leave for something bigger. This is one of those moments. Congrats.
5.  Whatever you build there, build it with the same care you've brought to every project here. The world doesn't have enough engineers like you. Congratulations.
6.  You've gone from "promising" to "in demand" in front of my eyes. Today is the day the rest of the industry catches up to what we've known. Congrats.
7.  Keep the same approach to feedback you've had here: ask for it early, hear it without defending, and act on it. It's the single biggest reason you're where you are now.
8.  Don't be a stranger. The mentorship runs both ways now — tell me what you learn over there. Congrats.
9.  The team won't be the same without you. We'll figure it out. You go figure out the next thing. Congratulations.
10.  I told you when you started that I'd help you get to the next thing. You did the hard part. Congrats on the role — go do great work.

## For a Promotion or Internal Move

A promotion or internal transfer is a slightly different beat — "you earned this," not "you chose this." Acknowledge the recognition and the work behind it.

1.  You earned this. Every late evening, every careful PR review, every hard conversation. The promotion was inevitable. Congratulations.
2.  Watching you grow into this title has been one of the highlights of the year. Now go do the role on day one the way you've been doing it for the past six months.
3.  The promotion is a tiny piece of paper saying what we all already knew. Congrats.
4.  Big congrats on the new title! You've been operating at this level for a while. Glad the company finally caught up.
5.  Promotions don't make people. People make promotions inevitable. You're the second kind. Congratulations.
6.  So glad to see you stepping into the new role. It's going to suit you. I'm here whenever you want to talk through anything.
7.  The new title is going to attract a whole new kind of work. Lean into the parts that feel uncomfortable — that's where the next year of growth is. Congrats!
8.  Promotion days are some of the best days. Take a minute to enjoy this one before the meetings start filling up the calendar. Congrats.
9.  Of every promotion announcement I've seen this year, this one made the most sense. Well earned. Well deserved. Well done.
10.  Congrats on the move. The team you're joining is lucky to have someone who actually wants to be there.

## Funny, Light, and Self-Aware

For someone whose sense of humor would find a sincere "you've grown so much" weird coming from you. Match the tone you'd use at lunch.

1.  Congrats on the new job. Please remember us when you're rich and famous. Specifically, remember to refer me.
2.  You finally got out. Take me with you.
3.  New job, new Slack handle to ignore. Wishing you the best of luck.
4.  Congratulations! Your imposter syndrome is going to have a fresh new playground. Have fun.
5.  So happy for you. Please don't become the kind of person who talks about their company values on LinkedIn.
6.  Big congrats! The first six weeks at any new job are 80% figuring out where the coffee machine is. You've got this.
7.  Welcome to having a real onboarding doc. I know it's been a while.
8.  Congratulations on the new role. May your inbox stay manageable for a full 48 hours.
9.  You're going to walk into the office on Monday like a freshman on the first day of high school. I love it for you.
10.  New job = new excuses to not respond to my texts. Looking forward to it. Congrats!

### The one detail that makes it personal

Most "congratulations on the new job" messages fail not because they're poorly written but because they're interchangeable — you could send them to anyone. Add one specific detail and the message becomes theirs alone. Their company name. Their hardest interview round. The exact role they were going for. The friend who introduced them. The two-year arc that led to this moment. One specific detail is the entire difference between "nice message" and "screenshot for the memory box."

## How to make any message above feel personal

Pick the message that feels closest to your relationship and the moment. Then make exactly two small edits:

1.  **Name the specific role or company.** "Congrats on the new role" becomes "Congrats on the Staff Engineer role at [Databricks](https://jobsbyculture.com/companies/databricks)." If you can't remember, ask — they'll be flattered you cared enough.
2.  **Add one detail only you would say.** A reference to a conversation you had during their interview prep. A nod to a project they shipped recently. A joke that only they will get. One detail. That's all it takes to lift a message from generic to memorable.

If you're stuck, write the message you'd want to receive in their position. The version of you that just got the role you've been working toward for two years — what would land? Almost always: someone who sees you, names what you've done, and signals real confidence in what comes next.

## When to send the message

The same day the news goes public. Or, if it's a close relationship, the day they tell you privately — even if they haven't announced it yet. Late is fine; never is the only mistake. A week later with a thoughtful note will always beat a same-day "congrats!!" emoji.

If you missed the announcement, don't apologize at length. "I'm late to this — massive congrats. Tell me everything when you have a minute" is enough. The point is to land in their day with a moment of warmth, not to perform regret.

## What to do after the message

The follow-up matters more than the initial congrats. A week or two in, send a "how's the first week going?" check-in. A month in, ask "what's the role actually like vs what you expected?" These are the moments where a new hire feels alone — the welcome card has been recycled, the onboarding is over, and the actual work has started getting hard. A follow-up message in week four matters more than a "huge congrats" on day one.

If the new role is at one of the companies in our [Culture Directory](https://jobsbyculture.com/companies), share the company's profile. It's a small, useful gesture — "I read this and thought of you" lands better than another piece of generic well-wishing. [Anthropic](https://jobsbyculture.com/companies/anthropic), [Stripe](https://jobsbyculture.com/companies/stripe), [Linear](https://jobsbyculture.com/companies/linear), [Databricks](https://jobsbyculture.com/companies/databricks) — we've collected employee-reported insight on the culture at all of them.

## Frequently Asked Questions

What should you write in a new job congratulations card?+

Open with genuine warmth ("So proud of you"), then name something specific — the company, the role, the journey it took to get there. Add one sentence about what they'll bring to the role. Close with confidence in them. Avoid generic "good luck in your new endeavor" — it's the equivalent of a participation trophy. A great example: "So thrilled you landed at [Anthropic](https://jobsbyculture.com/companies/anthropic) — you've been working toward this exact role for two years. They're getting someone who actually cares about the problem. Can't wait to hear what you build."

What is a short message for a new job?+

Try: "Congratulations on the new role — they're so lucky to have you." Or: "Big day! So happy for you." Or: "Hit the ground running. We know you will." Keep it under 15 words for a group card or a LinkedIn comment. The signal of brevity-plus-warmth often lands better than a long paragraph that sounds like it was written by ChatGPT.

How do you congratulate someone leaving for a competitor or bigger company?+

Be genuinely happy for them — even if it stings to lose them. Acknowledge the move ("[Stripe](https://jobsbyculture.com/companies/stripe) is so lucky"), don't make it about you, and keep the door open for the future. Example: "Honestly couldn't be happier for you — Stripe is the right next step and you're going to crush it. We'll miss you here, but stay in touch." People remember how their colleagues said goodbye for years.

What's the difference between congratulations for a promotion vs a new job?+

A promotion happens in place — congratulate them on the recognition and the work they did to earn it. A new job is a transition — congratulate them on the choice, acknowledge the courage it takes to move, and signal excitement about what comes next. Different verbs: "You earned this" for a promotion. "You chose this" for a new job. Both warm. Both specific. Different emotional registers.

Is it okay to write "congratulations on your new endeavor"?+

Technically fine. Practically a missed opportunity. "New endeavor" is the phrase you write when you can't be bothered to remember what they actually got. Replace it with the specific thing — "congratulations on the senior engineer role at Stripe," or "congratulations on the product lead opening at [Linear](https://jobsbyculture.com/companies/linear)." Specificity makes a generic message feel personal in one word.

What should you NOT say when someone gets a new job?+

Don't ask about the salary on a public card or post. Don't joke about them being unemployed before. Don't say "I always knew you'd land somewhere" if you didn't always know. Don't make it about your own job search. Don't open with a complaint about your own company. The new job moment is theirs — share it, celebrate it, and save the venting for a private DM next week.

How do you congratulate someone on LinkedIn for a new job?+

LinkedIn congrats are public, so be specific and signal-rich. "Congrats, Jamie!" is fine but forgettable. "Congrats Jamie — Anthropic is getting one of the sharpest infra engineers I've ever worked with. They're going to ship something great" makes the new employer notice and gives Jamie social proof. Keep it under 30 words, mention one specific strength, and don't sell anything in the comment.

### Send a group congratulations card

Collect congratulations messages from the whole team in one beautiful digital card. Share the link, everyone signs, and they open it as a keepsake on day one.

[Create a Card →](https://jobsbyculture.com/culture-cards) [Browse the Culture Directory →](https://jobsbyculture.com/companies)

---

## Document: Notion Salary 2026: $280K–$900K TC, Private Equity & How It Compares

# Notion Salary 2026: $280K–$900K TC, Private Equity & How It Compares

> Notion compensation in 2026: $280K-$900K total comp for engineers, with equity grants valued at $11B. Real salary data by level, equity structure, benefits, and how Notion compares to Figma, Linear, and Stripe.

Source: https://jobsbyculture.com/blog/notion-compensation-2026
Markdown: https://jobsbyculture.com/blog/notion-compensation-2026.md
Last updated: 2026-07-14

---
TL;DR — Key Takeaways

-   Notion’s median software engineer total compensation is **~$630K/year**, ranging from **$280K (L3) to $900K+ (L5)** based on verified salary reports.
-   Equity is granted as a **mix of stock options and RSUs** valued at Notion’s $11B private valuation. A late-2025 tender offer with GIC, Sequoia, and Index provided liquidity at that price.
-   Revenue crossed **$500M in 2025**, with AI features now driving over 50% of ARR. A potential **IPO in 2026** could make all that private equity liquid.
-   Glassdoor overall score of **4.4/5**, with 89% recommending and 96% CEO approval (Ivan Zhao). Work-Life Balance: **4.2/5** — meaningfully better than most high-growth peers.

In This Article

1.  [Quick Stats at a Glance](#glance)
2.  [The Short Version](#short-version)
3.  [Base Salary by Level](#base-salary)
4.  [How Notion Equity Works](#equity)
5.  [Bonus Structure](#bonus)
6.  [Benefits & Perks](#benefits)
7.  [How Notion Compares](#comparison)
8.  [The AI Bet & What It Means for Comp](#ai-bet)
9.  [Negotiation Tips](#negotiation)
10.  [Frequently Asked Questions](#faq)

[Notion](https://jobsbyculture.com/companies/notion) doesn’t get the breathless comp headlines that OpenAI or Anthropic do. It doesn’t need them. The productivity platform turned AI company has quietly built one of the most compelling compensation packages in software — a median engineer total comp around $630K, an $11 billion valuation backstopped by a $500M+ revenue run rate, and a work-life balance score (4.2/5) that actually suggests you might use some of that money while it’s still light outside.

But the nuance matters. Notion is still private. Its equity, while valued at $11B on paper, has limited liquidity compared to a public stock. The company completed a tender offer in late 2025 — GIC, Sequoia, and Index bought shares directly from employees — but these events are periodic, not guaranteed. And with IPO rumors intensifying for 2026, the equity component of any Notion offer is essentially a bet on timing. Here’s how to evaluate it.

## Quick Stats at a Glance

Component

Detail

Company

Notion

Valuation

$11B (Dec 2025 tender offer)

Revenue

$500M+ ARR (Sep 2025)

Employees

~800 (core team)

Glassdoor overall

4.4 / 5.0

Work-Life Balance

4.2 / 5.0

CEO approval

96% (Ivan Zhao)

Engineer TC range

$280K–$900K+ (L3–L5)

Equity type

Options + RSUs (private, $11B valuation)

Open roles

140

$630K

Median software engineer total compensation — among the highest in productivity software

## The Short Version

Notion compensation is structured around three pillars: base salary, equity grants, and performance bonuses. At the senior level (L4), a typical offer looks like this: $250K base salary plus a four-year equity grant worth $370K/year at the current valuation, for total compensation around $630K. At L5 (staff), total comp stretches past $845K and can exceed $900K with strong performance.

The interesting part is how much of that compensation is equity. At L4 and above, equity is typically 50–60% of total comp. That makes Notion offers highly leveraged to the company’s trajectory. If Notion IPOs at or above its current $11B valuation, those grants are worth every dollar on paper. If the valuation compresses — not uncommon for late-stage privates — the effective TC drops proportionally.

This is the core trade-off with Notion comp: the numbers are excellent, but a meaningful chunk of the value is locked in private equity. The late-2025 tender offer mitigated this somewhat, but it’s not the same as having a public ticker.

## Base Salary by Level

Notion uses an internal leveling system roughly mapping to L3 through L5+ (mid-level through staff/principal). Base salaries are competitive with top-tier SaaS companies, though the real differentiation — as with most high-growth tech companies — is in the equity grants.

Level

Title

Base Salary

Est. Total Comp

L3

Software Engineer

$187K–$225K

$280K–$495K

L4

Senior Software Engineer

$230K–$260K

$500K–$708K

L5

Staff Software Engineer

$280K–$310K

$845K–$900K+

A few things jump out from this data. First, the L3 range is extremely wide — $280K to $495K — because equity grants vary significantly based on specialization. A distributed systems backend engineer at L3 reported $495K in total comp, while a full-stack engineer at the same level reported $280K. The difference? Equity grant size. Notion clearly pays premiums for high-demand backend and infrastructure skills.

Second, the jump from L4 to L5 is significant. Base salary increases by roughly $50K, but total comp jumps by $150K–$200K because equity grants scale aggressively at the staff level. This is where Notion competes directly with the Big Tech and frontier AI lab packages.

Interested in these salary ranges? See what’s open now. [See 140 open Notion positions →](https://jobsbyculture.com/jobs?company=notion)

## How Notion Equity Works

This is the section that matters most if you’re evaluating a Notion offer. Unlike [OpenAI’s PPUs](https://jobsbyculture.com/blog/openai-compensation-2026) or a public company’s liquid RSUs, Notion’s equity occupies a middle ground that requires careful evaluation.

-   **Notion offers a mix of stock options and RSUs.** The blend depends on your level and when you joined. Earlier employees received more options; more recent hires tend to get a larger RSU component. Both are valued at Notion’s internal valuation, which was last set at $11B during the December 2025 tender offer.
-   **Standard 4-year vesting with a 1-year cliff.** You earn 25% of your grant after your first year, then vest monthly or quarterly thereafter. This is the industry-standard schedule — nothing unusual here.
-   **Liquidity comes from tender offers, not the public market.** Notion has facilitated tender offers where institutional investors purchase shares from employees. The most recent one, in late 2025, was priced at the $11B valuation with GIC, Sequoia, and Index Ventures buying. These events let employees cash out a portion of their vested equity — but they’re at the company’s discretion and not guaranteed on any schedule.
-   **An IPO could change everything.** Reports suggest Notion could go public as early as 2026. With $500M+ in revenue and AI driving accelerating growth, the company is in a strong position. An IPO would make all vested equity fully liquid, potentially at a premium to the current $11B valuation.
-   **Refresher grants exist.** Annual refresher equity grants are awarded based on performance, helping maintain total comp as initial grants vest. The size of refreshers varies by level and individual performance review outcomes.

Pro — Employee review “Equity is generous and the tender offer provided real liquidity. With an IPO potentially coming, the upside on current grants could be significant.”

Con — Employee review “Equity is valued at the $11B internal valuation, but there’s zero liquidity between tender offers. If you need cash flow from equity, you’re at the mercy of timing.”

The honest assessment: Notion’s equity story is strong but not risk-free. The $500M+ revenue run rate and AI-driven growth trajectory suggest the $11B valuation is defensible — even conservative if the IPO market cooperates. But private equity is private equity. If you’re comparing a Notion offer against a company where equity is publicly traded (Stripe post-IPO, for instance), you need to apply a liquidity discount to the paper value. A common rule of thumb is 20–30% for well-funded late-stage companies with clear IPO paths.

Related Reading

-   [OpenAI Compensation 2026: Salary, PPU Equity, Bonus & How It Compares](https://jobsbyculture.com/blog/openai-compensation-2026)
-   [Figma Compensation 2026: Salary, Equity & How It Compares](https://jobsbyculture.com/blog/figma-compensation-2026)
-   [Stripe Compensation 2026: Salary, Equity & How It Compares](https://jobsbyculture.com/blog/stripe-compensation-2026)

## Bonus Structure

Notion’s bonus structure is less publicly documented than its salary bands, but here’s what verified reports indicate:

-   **Annual performance bonus:** Notion ties annual bonuses to individual performance reviews. Reports suggest target bonuses in the 10–15% range of base salary, with strong performers exceeding the target. At an L4 base of $250K, that’s roughly $25K–$37K in annual bonus.
-   **Signing bonuses:** Commonly offered for senior hires and candidates leaving unvested equity. Signing bonuses typically range from $30K to $100K, depending on the competing offer landscape and what you’re leaving behind.
-   **No separate equity refresh bonus.** Unlike some Big Tech companies that separate refresher grants from annual bonuses, Notion bundles equity refreshers into its annual performance cycle. Your refresh grant size is directly tied to your performance rating.

The bonus component is meaningful but not the main event. At senior levels, equity is 5–10x the annual bonus. Where Notion’s cash compensation stands out is in the base salary — $230K–$310K for L4–L5 is competitive with virtually any company short of the frontier AI labs.

## Benefits & Perks

Notion’s benefits package reflects a company that’s grown past the scrappy startup phase but hasn’t adopted the Big Tech buffet-of-perks approach. It’s focused and practical:

-   **Health insurance:** Fully covered medical, dental, and vision premiums for employees and dependents. This is genuinely premium-tier — many companies cover employees but charge for dependent coverage.
-   **401(k) match:** 50% employer match up to 6% of salary. At a $250K base, that’s a $7,500 annual match — solid, though below the mega backdoor Roth setups at companies like OpenAI.
-   **Parental leave:** 4 months (16 weeks) of paid parental leave for biological, adoptive, and foster parents, plus a structured return-to-work program. Competitive with the industry standard, slightly below OpenAI’s 20 weeks.
-   **Fertility benefits:** Employer-sponsored fertility treatments and family-forming services through Carrot Fertility.
-   **Office perks:** Free lunch and snacks at the San Francisco and New York offices. A $50 monthly cell phone stipend and a monthly activity stipend for wellness and personal development.
-   **Flexible PTO:** Unlimited PTO policy. The 4.2/5 work-life balance score suggests employees can actually use it — a meaningful distinction from companies that offer unlimited PTO but create cultures where nobody takes it.

Pro — Employee review “The health coverage is exceptional — fully covering dependents is rare. And the work-life balance is genuinely good. Ivan sets the tone from the top that sustainable pace matters.”

Con — Employee review “Hybrid 3 days in-office is non-negotiable. If you want fully remote, Notion isn’t the place. The SF office is nice, but the policy rules out a lot of candidates.”

## How Notion Compares

Notion competes for talent with a specific cohort: product-focused, design-forward tech companies where engineers ship to millions of users. Here’s how the compensation stacks up against its closest peers:

Company

Engineer TC

Glassdoor

Equity Type

[Notion](https://jobsbyculture.com/companies/notion)

$280K–$900K

4.4 / 5

Options + RSUs (private, $11B)

[Figma](https://jobsbyculture.com/companies/figma)

$250K–$800K

4.5 / 5

RSUs (private, ~$12.5B)

[Linear](https://jobsbyculture.com/companies/linear)

$200K–$600K

4.6 / 5

Options (private)

[Stripe](https://jobsbyculture.com/companies/stripe)

$250K–$700K

4.1 / 5

RSUs (private, $91.5B)

Key observations from this comparison:

-   **Notion pays more than most productivity/dev-tool peers.** At the staff level, $845K–$900K+ puts Notion ahead of Figma, Linear, and Stripe. The gap narrows at L3–L4, where all four companies are within 15–20% of each other.
-   **Stripe’s equity has the clearest path to liquidity.** Stripe is valued at $91.5B with persistent IPO speculation. While still private, Stripe’s regular tender offers at high valuations make its equity the most liquid among this peer set.
-   **Linear wins on culture ratings.** With a 4.6/5 Glassdoor score, Linear’s small team (~70 employees) offers lower absolute TC but arguably the strongest culture satisfaction. For candidates who optimize for environment over raw compensation, Linear is worth considering.
-   **Notion’s work-life balance is a genuine advantage.** At 4.2/5, Notion’s WLB score is higher than most high-growth tech companies. Stripe (3.8/5) and [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026) (3.6/5) score meaningfully lower. The combination of strong TC and livable pace is rare in this bracket.

For a broader landscape view, see our full [highest-paying AI and tech companies in 2026](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) ranking.

## The AI Bet & What It Means for Comp

Notion’s compensation story in 2026 is inseparable from its AI transformation. This isn’t a company bolting AI onto a legacy product — it’s rebuilding its core experience around autonomous agents, and the financial results prove the strategy is working.

The numbers tell a clear story. Notion crossed $500M in annual revenue in September 2025, up from $400M in 2024 and $250M in 2023. More importantly, AI is now the primary growth engine: over 50% of Notion’s ARR comes from AI-enabled customers, up from 10–20% just a year ago. The company launched Notion 3.0 in September 2025 with customizable AI agents at the center of the product, using models from OpenAI and Anthropic.

What does this mean for compensation? Three things:

-   **AI/ML roles command premium packages.** As Notion doubles down on AI, engineers working on agent infrastructure, model integration, and AI product features are getting the largest equity grants. If you have experience building LLM-powered products, Notion is paying at or near frontier AI lab rates for the right candidates.
-   **The equity story just got stronger.** Revenue acceleration driven by AI has strengthened the case for a valuation at or above $11B. Some analysts project Notion could reach $900M–$1B in ARR by the end of 2026. That trajectory supports the current equity valuation and suggests meaningful upside if the company goes public.
-   **Headcount is growing but still relatively lean.** At ~800 core employees generating $500M+ in revenue, Notion has roughly $625K in revenue per employee — an exceptional efficiency ratio. This means the company can afford to pay well without dilutive hiring bloat.

$625K+

Revenue per employee — one of the highest efficiency ratios in SaaS

## Negotiation Tips

Notion offers are well-structured, but there’s meaningful room to negotiate if you approach it strategically:

-   **Push on the equity grant, not the base.** Base salary at Notion is relatively standardized by level. The equity grant is where offers vary most between candidates, and it’s the single biggest lever in your total comp. A 20% bump on a $370K annual equity value is $74K/year.
-   **Competing offers matter — but the right kind.** Offers from Figma, Stripe, Linear, or Vercel are the most credible comparisons. Frontier AI lab offers (OpenAI, Anthropic) work as well, but Notion knows those companies have a different risk profile. A Figma or Stripe offer at a comparable level is the strongest negotiation lever.
-   **Ask about the equity mix.** Notion uses both options and RSUs. RSUs are typically more favorable for employees since they have value even if the stock price stays flat. If you’re offered mostly options, negotiate for a larger grant or a higher RSU component.
-   **Factor in the IPO timeline.** If Notion IPOs within your first 1–2 years, your equity could become liquid at potentially higher-than-paper valuations. This is speculative, but it’s a real consideration when comparing against companies with already-liquid equity.
-   **Negotiate the signing bonus if leaving unvested equity.** Notion will bridge your unvested equity from a current employer with signing bonuses. Come prepared with a specific dollar figure of what you’re leaving behind — recruiters expect this conversation.
-   **Level is everything.** Getting leveled at L4 vs. L5 can mean a $200K+ difference in annual compensation. If you have staff-level scope at your current company, prepare concrete examples of technical leadership, cross-team influence, and project ownership for the leveling discussion.

### Is Notion Compensation Worth It?

Notion offers a rare combination: strong total compensation ($630K median engineer TC), a 4.2/5 work-life balance score, and an AI-powered growth story that gives the equity real upside potential. The main trade-off is equity liquidity — Notion is still private, and while tender offers have provided partial liquidity, your equity is locked until the next event or an IPO. If you believe Notion’s AI pivot will sustain its revenue acceleration (and the numbers strongly support that thesis), the upside on current grants could be substantial. If you need fully liquid equity, [Stripe](https://jobsbyculture.com/blog/stripe-compensation-2026) or a public Big Tech company may be a better fit. For engineers who want to work on a product used by 100M+ people, ship AI features with real user impact, and earn top-of-market compensation in a culture that doesn’t require 70-hour weeks — Notion is one of the strongest options in 2026.

## Open Positions at Notion

Notion currently has **140 open positions** across engineering, product, design, sales, and operations. The company is particularly hiring for AI-related roles as it expands its agent platform and AI features that now drive over half of revenue. Notion operates on a hybrid model (3 days in-office) at its San Francisco headquarters and New York office.

For the full list of live openings, visit the [Notion jobs page](https://jobsbyculture.com/jobs?company=notion). You can also explore the [Notion culture profile](https://jobsbyculture.com/companies/notion) for employee reviews, culture values, and detailed Glassdoor ratings.

## Frequently Asked Questions

What is the average salary at Notion in 2026?+

The median total compensation for a software engineer at Notion is approximately $630K per year, based on verified salary reports. This includes base salary ($187K–$310K), equity grants, and performance bonuses. Total comp ranges from roughly $280K at L3 to over $900K at L5 (staff level). Product managers and designers earn comparable figures at equivalent levels.

What kind of equity does Notion offer?+

Notion offers a mix of stock options and RSUs to employees. Since Notion is still private (valued at $11B as of late 2025), equity is not publicly traded. However, the company has facilitated tender offers — most recently at an $11B valuation — allowing employees to sell shares to institutional investors like GIC, Sequoia, and Index Ventures. Equity vests over 4 years with a standard 1-year cliff.

How much does a Notion software engineer make?+

Notion software engineer total compensation ranges from approximately $280K at L3 (mid-level) to $900K+ at L5 (staff). A typical L4 senior engineer earns $500K–$700K in total comp, combining a $230K–$260K base salary with equity grants worth $250K–$400K annually. See all [current Notion openings](https://jobsbyculture.com/jobs?company=notion).

Is Notion going to IPO?+

Reports suggest a Notion IPO could arrive as early as 2026, though no formal timeline has been confirmed. The company completed a tender offer at an $11B valuation in late 2025, providing partial liquidity to employees. With $500M+ in annual revenue and strong AI-driven growth, Notion is well-positioned for a public listing. For employees, an IPO would make equity grants fully liquid.

How does Notion compensation compare to Figma?+

Notion and [Figma](https://jobsbyculture.com/companies/figma) offer broadly comparable total compensation for engineers, though Notion tends to pay slightly more at senior levels (L5+). Both companies are private with equity valued in the $10B+ range. Notion’s Glassdoor overall score (4.4/5) is similar to Figma’s (4.5/5), and both have strong Comp & Benefits ratings. The biggest difference is cultural: Notion is more product-obsessed with a design-forward engineering culture, while Figma leans heavily into developer tools and collaboration.

What benefits does Notion offer?+

Notion offers comprehensive benefits including fully covered medical, dental, and vision premiums for employees and dependents; 401(k) with 50% match up to 6% of salary; 4 months paid parental leave with a return-to-work program; flexible PTO; free lunch and snacks; a $50 monthly cell phone stipend; fertility benefits through Carrot; and monthly activity stipends. The company’s Glassdoor rating of 4.4/5 reflects strong overall employee satisfaction.

Is Notion hiring in 2026?+

Yes — Notion currently has [140 open positions](https://jobsbyculture.com/jobs?company=notion) across engineering, product, design, sales, and operations. The company has been aggressively expanding, particularly in AI-related roles, as AI features now drive over 50% of its revenue. Notion has offices in San Francisco (HQ) and New York, with most roles requiring hybrid attendance (3 days in-office).

### See all 140 open Notion roles

Filter by role, seniority, and culture values. Every listing includes compensation context.

[See Notion Jobs →](https://jobsbyculture.com/jobs?company=notion) [Highest-Paying Tech Companies →](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

---

## Document: OpenAI Salary 2026: $249K–$1.28M TC, PPU Equity & How It Compares

# OpenAI Salary 2026: $249K–$1.28M TC, PPU Equity & How It Compares

> OpenAI compensation in 2026: $249K-$1.28M total comp for engineers, with PPU equity grants worth $500K+/year at senior levels. Real compensation data from verified reports, PPU vesting, and how it compares to Anthropic, DeepMind, and Stripe.

Source: https://jobsbyculture.com/blog/openai-compensation-2026
Markdown: https://jobsbyculture.com/blog/openai-compensation-2026.md
Last updated: 2026-07-14

---
📍 Quick answer

OpenAI engineers earn $300k–$900k+ total comp in 2026, with PPUs (Profit Participation Units) layered on top of base + bonus. Senior+ levels routinely clear $700k all-in.

[Browse 720 live OpenAI jobs →](https://jobsbyculture.com/jobs?company=openai)

TL;DR — Key Takeaways

-   OpenAI’s median software engineer total compensation is **$555K/year**, ranging from **$249K (L2) to $1.28M (L6)** according to verified salary reports.
-   Equity is granted as **PPUs (Profit Participation Units)** — not RSUs. PPUs vest evenly over 4 years (25%/year) with no cliff, and can be sold during tender offers.
-   Research scientists earn even more: **$771K (L4) to $1.47M+ (L5)** in total comp, making OpenAI one of the highest-paying employers in the world.
-   Glassdoor overall score of **4.5/5**, with 95% recommending and 96% CEO approval (Sam Altman). Comp & Benefits score: **4.4/5**.

📋 In This Article

1.  [Quick Stats at a Glance](#glance)
2.  [The Short Version](#short-version)
3.  [Base Salary by Level](#base-salary)
4.  [How PPUs Work](#ppus)
5.  [Bonus Structure](#bonus)
6.  [Benefits & Perks](#benefits)
7.  [How OpenAI Compares](#comparison)
8.  [Who Gets Paid the Most?](#highest-paid)
9.  [Negotiation Tips](#negotiation)
10.  [Frequently Asked Questions](#faq)

[OpenAI](https://jobsbyculture.com/companies/openai) is the highest-paying employer among frontier AI labs — and it’s not particularly close. With a median engineer total compensation of $555K, the company behind GPT and ChatGPT pays more than [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026), DeepMind, and nearly every other tech company in the world. The company currently has ~4,500 employees, 720 open roles, and is on track to double its headcount to ~8,000 by end of 2026.

But OpenAI’s compensation story isn’t just about big numbers. The company uses a unique equity instrument called **PPUs (Profit Participation Units)** that works fundamentally differently from the RSUs you’d get at Google, Anthropic, or Stripe. Understanding how PPUs work is critical to evaluating any OpenAI offer. We break it all down below.

## Quick Stats at a Glance

Component

Detail

Company

OpenAI

Employees

~4,500 (growing to ~8,000 by end of 2026)

Glassdoor overall

4.5 / 5.0

Comp & Benefits score

4.4 / 5.0

Work-Life Balance

3.6 / 5.0

Recommend to friend

95%

CEO approval

96% (Sam Altman)

Engineer TC range

$249K–$1.28M (L2–L6)

Research scientist TC

$771K–$1.47M+ (L4–L5)

Equity type

PPUs (Profit Participation Units)

Open roles

655

$555K

Median software engineer total compensation — highest among frontier AI labs

Open roles at OpenAI

3 of 720 live · refreshed daily

[Technical Program Manager, Compute Infrastructure San Francisco](https://jobsbyculture.com/jobs/openai/technical-program-manager-compute-infrastructure) [Research Engineer San Francisco](https://jobsbyculture.com/jobs/openai/research-engineer) [Account Director - Tokyo Tokyo, Japan](https://jobsbyculture.com/jobs/openai/account-director-tokyo)

[See all 720 OpenAI roles →](https://jobsbyculture.com/jobs?company=openai)

## The Short Version

OpenAI compensation is structured around three components: base salary, PPU equity grants, and performance bonuses. At the mid-to-senior level, a typical offer looks something like this: $300K base salary plus a $2M PPU grant vesting over 4 years, bringing total compensation to approximately $800K per year. At lower levels (L2–L3), total comp starts around $249K–$400K. At the highest levels (L5–L6), it can exceed $1.28M.

The PPU equity grant is the largest variable in any OpenAI offer and the primary lever in negotiation. Unlike traditional RSUs, PPUs represent a share of OpenAI’s future profits rather than ownership of the company itself. They vest evenly at 25% per year with no cliff, and employees can sell them during periodic tender offers where investors purchase PPUs directly from employees. This is a novel structure with less historical precedent than RSUs — we cover it in detail [below](#ppus).

## Base Salary by Level

OpenAI uses a leveling system from L2 (entry-level engineer) to L6 (staff/principal). Base salary ranges are competitive with Big Tech, but the real differentiation happens in the equity component. These figures are based on verified salary reports and reported offers.

Level

Title

Base Salary

Est. Total Comp

L2

Software Engineer

$180K–$220K

~$249K

L3

Software Engineer

$200K–$260K

$350K–$500K

L4

Senior Software Engineer

$250K–$320K

$500K–$800K

L5

Staff Software Engineer

$300K–$380K

$800K–$1.1M

L6

Principal / Senior Staff

$350K–$420K

$1M–$1.28M+

A concrete recent offer example: $300K base salary + $2M PPU grant over 4 years = approximately $800K/year in total compensation. This is broadly consistent with L4–L5 level offers reported across multiple sources.

Interested in these salary ranges? See what’s open now. [See 720 open OpenAI positions →](https://jobsbyculture.com/jobs?company=openai)

## How PPUs Work

This is the most important section if you’re evaluating an OpenAI offer. PPUs (Profit Participation Units) are fundamentally different from the RSUs or stock options you’d receive at most tech companies. Here’s how they work:

-   **PPUs are NOT RSUs or stock options.** They represent a contractual right to a share of OpenAI’s future profits — not equity ownership in the company. You don’t own shares; you own a claim on profit distributions.
-   **No purchase required.** Unlike stock options, you don’t need to “exercise” anything or pay a strike price. PPUs are granted to you and vest automatically.
-   **Vesting schedule: 4 years, 25% per year, no cliff.** This is more employee-friendly than the standard 4-year/1-year-cliff schedule at most companies. You start vesting from day one.
-   **Liquidity via tender offers.** Since OpenAI is private, PPUs aren’t publicly traded. However, OpenAI has facilitated periodic tender offers where investors purchase PPUs directly from employees. These events provide liquidity, but their frequency and pricing are at OpenAI’s discretion.
-   **Capped profit model.** OpenAI’s original structure included a profit cap for investors and employees, though the company has been evolving its corporate structure. The specifics of how PPU payouts relate to profit caps may change as OpenAI’s governance evolves.
-   **Refresher grants.** Employees typically receive annual PPU refresher grants based on performance, which helps maintain high total comp as initial grants vest.

Pro — Glassdoor review “Compensation is insane. The PPU grants are extremely generous and the tender offers mean you can actually realize value from them.”

Con — Glassdoor review “PPUs are a novel structure. Nobody really knows what they’ll be worth long-term. It’s not like having Google stock.”

The key question for candidates: _how much do you trust a novel equity instrument?_ PPUs have worked well for employees so far — tender offers have allowed real liquidity at high valuations. But PPUs lack the decades of legal and financial precedent that RSUs have. If you value certainty and liquidity, DeepMind’s publicly-traded Google RSUs or [Anthropic’s](https://jobsbyculture.com/blog/anthropic-compensation-2026) more traditional RSU structure may feel safer. If you believe in OpenAI’s trajectory and are comfortable with a newer equity model, the potential upside is enormous.

Related Reading

-   [Working at OpenAI in 2026: Culture, Compensation & What Employees Say](https://jobsbyculture.com/blog/working-at-openai-2026)
-   [Anthropic Compensation 2026: Salary, Equity, Bonus & How It Compares](https://jobsbyculture.com/blog/anthropic-compensation-2026)
-   [Highest-Paying AI Companies in 2026: Full Ranking](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

## Bonus Structure

OpenAI offers performance-based bonuses, though details are less publicly documented than at companies like Google or Meta. Here’s what reports suggest:

-   **Annual performance bonus:** Reports suggest bonuses in the range of 15–25% of base salary, tied to individual performance and team/company milestones.
-   **Signing bonuses:** Signing bonuses are commonly offered, particularly for senior hires and candidates leaving unvested equity at their current employer. These can range from $50K to $200K+ depending on the role and competing offers.
-   **Relocation support:** For candidates relocating to San Francisco, New York, or other office locations, OpenAI provides relocation packages that cover moving costs and temporary housing.
-   **Concrete example:** A senior engineer (L4) with a $300K base and 20% target bonus would receive approximately $60K in annual bonus — bringing cash compensation to $360K before equity.

Compared to the PPU equity grants (which can be worth $250K–$500K+ per year at senior levels), the cash bonus is a relatively small component of total compensation. The real negotiation leverage is in the PPU grant size.

## Benefits & Perks

OpenAI’s benefits package is comprehensive and contributes to the company’s 4.5/5 overall Glassdoor rating:

-   **Health insurance:** Comprehensive medical, dental, and vision coverage for employees and dependents.
-   **401(k) match:** 50% employer match on 401(k) contributions, plus mega backdoor Roth conversion — a significant long-term wealth building tool.
-   **Parental leave:** 20 weeks of paid parental leave for new parents — one of the more generous policies in tech.
-   **Daily meals:** Breakfast, lunch, and dinner provided at office locations, plus freshly baked cookies (a well-known OpenAI perk).
-   **Commuter benefits:** Pre-tax commuter benefits for employees at all office locations.
-   **Fertility & family planning:** Coverage for fertility treatments and family planning services.
-   **Conference budget:** Dedicated budget for attending conferences and professional development events.
-   **Generous PTO:** Flexible paid time off policy, though Glassdoor reviews note the WLB score of 3.6/5 — suggesting the pace can make it hard to fully disconnect.

Pro — Glassdoor review “Benefits are top notch. 50% 401k match with mega backdoor Roth, amazing meals every day, and 20 weeks parental leave. Hard to beat.”

Con — Glassdoor review “Work-life balance is a struggle. The pace is relentless and there’s always pressure to ship. Generous PTO doesn’t matter if you can’t take it.”

## How OpenAI Compares

OpenAI competes for talent primarily with other frontier AI labs and top-tier tech companies. Here’s how the compensation stacks up:

Company

Engineer TC

Comp Score

Equity Type

[OpenAI](https://jobsbyculture.com/companies/openai)

$249K–$1.28M

4.4 / 5

PPUs (private)

[Anthropic](https://jobsbyculture.com/companies/anthropic)

$300K–$490K

4.8 / 5

RSUs (private)

[DeepMind](https://jobsbyculture.com/companies/deepmind)

$300K–$500K

4.0 / 5

Google RSUs (public)

[Stripe](https://jobsbyculture.com/companies/stripe)

$250K–$450K

4.5 / 5

RSUs (private)

Key takeaways from the comparison:

-   **OpenAI pays the most in raw total compensation** at every level, with senior engineers and research scientists crossing $1M. The gap is most pronounced at senior levels where PPU grants are largest.
-   **Anthropic has the highest comp satisfaction score (4.8)** despite lower raw numbers, suggesting that factors beyond total comp — equity structure confidence, mission alignment with [ethical AI](https://jobsbyculture.com/values/ethical-ai), and benefits — drive employee perception.
-   **DeepMind offers the safest equity** through publicly-traded Alphabet RSUs. For risk-averse candidates who want guaranteed liquid equity, DeepMind is the clearest choice.
-   **Stripe offers competitive TC in a less intense environment.** Glassdoor WLB scores are generally higher at Stripe than at OpenAI (3.6/5), though total comp is lower.

For a comprehensive ranking, see our full [highest-paying AI companies in 2026](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) analysis.

## Who Gets Paid the Most?

Not all roles at OpenAI are compensated equally. The highest-paid individuals fall into a few categories:

-   **Research scientists** command the highest total compensation at OpenAI. L4 research scientists earn approximately $771K, while L5 research scientists reach $1.47M+ in total comp. This reflects the extreme market demand for researchers with publications in top ML conferences and experience training large language models.
-   **Senior/staff engineers (L5–L6)** working on core infrastructure, training systems, and product engineering earn $800K–$1.28M. The closer your work is to model development and scaling, the higher the compensation tends to be.
-   **Engineering managers and directors** at senior levels are compensated comparably to staff engineers, with total comp often exceeding $1M. Leadership roles in high-priority areas (API platform, safety, enterprise) carry the largest grants.
-   **Go-to-market and enterprise roles** are a newer addition as OpenAI scales its business. While base salaries are competitive, total comp for sales and enterprise roles typically trails engineering and research by 20–40%.

$1.47M+

Total compensation for L5 research scientists — the highest individual contributor comp at OpenAI

## Negotiation Tips

If you’re lucky enough to receive an OpenAI offer, here’s how to approach negotiation:

-   **Focus on the PPU grant, not base salary.** Base salary at OpenAI is relatively standardized by level. The PPU equity grant is the largest variable component and where you have the most room to negotiate. A 20% increase in your PPU grant can be worth $100K+ per year.
-   **Competing offers are your strongest lever.** Offers from Anthropic, DeepMind, Meta FAIR, or Google Brain give you the most credible leverage. Even offers from strong non-AI companies (Stripe, Databricks) help establish a compensation floor.
-   **Negotiate signing bonuses to bridge equity gaps.** If you’re leaving unvested equity at your current employer, ask for a signing bonus to offset the loss. OpenAI commonly offers signing bonuses in the $50K–$200K range for this purpose.
-   **Ask about tender offer history.** Since PPU liquidity depends on tender offers, ask your recruiter about the frequency and historical pricing of past tender events. This helps you understand how “real” the PPU value is in practice.
-   **Don’t forget level.** Getting leveled at L4 vs. L5 has a much larger impact on total comp than any negotiation at a fixed level. If you have evidence of staff-level work at your current company, push for the higher level during the interview process.
-   **Consider the full picture.** The 50% 401(k) match, 20 weeks parental leave, and daily meals have real financial value. Factor these into your comparison rather than fixating purely on TC numbers.

### Is OpenAI Compensation Worth It?

By raw numbers, OpenAI is the highest-paying frontier AI lab. A median engineer TC of $555K and research scientist comp exceeding $1.4M put it ahead of Anthropic, DeepMind, and essentially every other employer. The trade-off is the PPU equity structure — a novel instrument that has worked well in practice (via tender offers) but lacks the decades of legal precedent that RSUs have. The work-life balance score of 3.6/5 also signals that these numbers come with intensity. If you’re comfortable with PPU risk and thrive in a fast-paced, high-stakes environment, OpenAI offers the most financially compelling package in AI. If you prioritize equity certainty, consider DeepMind (liquid Google stock) or [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026) (traditional RSUs with the industry’s highest comp satisfaction score).

## Open Positions at OpenAI

OpenAI currently has **720 open positions** and is doubling its workforce from ~4,500 to ~8,000 employees by end of 2026. Hiring is expanding across engineering, research, product, sales, enterprise support, and a new “technical ambassadorship” team. Offices span San Francisco (HQ at 3180 18th St, with a new 315,000 sq ft HQ planned at 550 Terry Francois Blvd in Mission Bay), New York (Puck Building), Seattle, London, Dublin, Tokyo, Paris, Brussels, and Singapore.

For the full list of live openings, visit the [OpenAI jobs page](https://jobsbyculture.com/jobs?company=openai). You can also explore the [OpenAI culture profile](https://jobsbyculture.com/companies/openai) for Glassdoor ratings, employee reviews, and culture values.

## Frequently Asked Questions

What is the average salary at OpenAI in 2026?+

The median total compensation for a software engineer at OpenAI is approximately $555K per year, according to verified salary reports. This includes base salary, PPU equity grants, and performance bonuses. Total comp ranges from $249K at entry level (L2) to over $1.28M at the staff level (L6). Research scientists earn even more, with L5 research scientists reaching $1.47M+ in total compensation.

What are OpenAI PPUs and how do they work?+

PPUs (Profit Participation Units) are OpenAI’s unique equity instrument — they are NOT traditional RSUs or stock options. PPUs give employees a share of OpenAI’s future profits without requiring any purchase. They vest evenly over 4 years at 25% per year with no cliff. During tender offers, investors buy PPUs directly from employees, providing liquidity before any IPO. PPUs are a relatively novel structure in tech compensation, which means there’s less historical precedent for how they behave long-term.

How much does an OpenAI software engineer make?+

OpenAI software engineer total compensation ranges from $249K at L2 (entry) to $1.28M at L6 (staff), with a median of $555K. A typical mid-level engineer (L3–L4) can expect $400K–$800K in total comp, combining base salary ($200K–$320K), PPU equity grants, and annual bonuses. A recent reported offer included a $300K base salary plus a $2M PPU grant over 4 years, totaling approximately $800K per year. See all [current OpenAI openings](https://jobsbyculture.com/jobs?company=openai).

Does OpenAI pay more than Anthropic?+

In raw total compensation, yes — OpenAI generally pays more than [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026) at comparable levels. OpenAI’s median engineer TC of $555K exceeds Anthropic’s $300K–$490K range. However, Anthropic’s Glassdoor Compensation & Benefits score (4.8/5) is higher than OpenAI’s (4.4/5), suggesting Anthropic employees feel more satisfied with their overall package. The equity structures also differ significantly: OpenAI uses PPUs while Anthropic uses RSUs, each with different risk and liquidity profiles.

What benefits does OpenAI offer?+

OpenAI offers comprehensive benefits including full health, dental, and vision coverage; a 50% 401(k) match with mega backdoor Roth option; 20 weeks paid parental leave; daily breakfast, lunch, and dinner plus freshly baked cookies; commuter benefits; fertility and family planning coverage; conference budget; and generous PTO. The overall benefits package contributes to OpenAI’s 4.5/5 overall Glassdoor rating.

How does OpenAI compensation compare to DeepMind?+

OpenAI generally offers higher total compensation than [DeepMind](https://jobsbyculture.com/companies/deepmind), particularly at senior levels. OpenAI engineer TC ranges from $249K–$1.28M with a $555K median, while DeepMind engineers typically earn $300K–$500K. The key difference is equity: DeepMind employees receive Google/Alphabet RSUs that are publicly traded and immediately liquid, while OpenAI’s PPUs are private and only liquid during tender offers. For candidates who prioritize equity liquidity, DeepMind has a clear advantage.

Can you negotiate OpenAI salary offers?+

Yes, OpenAI offers are negotiable — particularly the PPU equity grant, which is the largest variable component. Candidates with competing offers from other frontier AI labs ([Anthropic](https://jobsbyculture.com/companies/anthropic), DeepMind, Meta FAIR) have the strongest leverage. Focus negotiation on the PPU grant size rather than base salary, as equity represents the majority of total comp at senior levels. Signing bonuses are also commonly negotiated, especially to offset unvested equity from a current employer.

Is OpenAI hiring in 2026?+

Yes — OpenAI is aggressively hiring in 2026. The company is doubling its headcount from approximately 4,500 to 8,000 employees by the end of the year. There are currently [720 open roles](https://jobsbyculture.com/jobs?company=openai) across engineering, research, product, sales, enterprise support, and a new “technical ambassadorship” team. Expansion is happening across all offices including San Francisco (HQ), New York, Seattle, London, Dublin, Tokyo, Paris, Brussels, and Singapore.

### See all 720 open OpenAI roles

Filter by role, seniority, and culture values. Every listing includes compensation context.

[See OpenAI Jobs →](https://jobsbyculture.com/jobs?company=openai) [Highest-Paying AI Companies →](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

---

## Document: OpenAI Remote Work 2026: We Checked 681 Roles — Only 28 Are Remote (Here's Why)

# OpenAI Remote Work 2026: We Checked 681 Roles — Only 28 Are Remote (Here's Why)

> We analyzed every OpenAI job posting: just 28 of 681 roles (4%) are remote. Sam Altman called remote work

Source: https://jobsbyculture.com/blog/openai-remote-work-policy-2026
Markdown: https://jobsbyculture.com/blog/openai-remote-work-policy-2026.md
Last updated: 2026-07-14

---
📍 Quick answer

OpenAI is hybrid-leaning-office — most roles anchor to San Francisco with 3+ days/week in-office expected. Fully remote roles exist but are rare and specific; the careers page is more permissive than internal practice.

[Browse 720 live OpenAI jobs →](https://jobsbyculture.com/jobs?company=openai)

If you’re considering [OpenAI](https://jobsbyculture.com/companies/openai) as an employer and remote work matters to you, there’s one thing you should know upfront: Sam Altman has publicly called remote work “a mistake” and the policy at OpenAI reflects that view. We analyzed all 655 current open roles and cross-referenced with employee reviews to give you the complete picture.

The short answer: OpenAI is **firmly hybrid/office-first**, with a standard expectation of three in-office days per week (Monday–Wednesday). Remote roles exist, but they account for just 4% of all openings — the lowest proportion among comparable frontier AI labs. If remote work is a requirement rather than a preference, we’ll show you better options below.

## OpenAI Remote Policy at a Glance

Metric

Detail

Official policy

Hybrid — 3 days in office (Mon–Wed)

Reality

Office-first, strongly SF-centric

Total open roles

655

Remote roles

28 (4%)

HQ

San Francisco, CA (Mission Bay — 1M+ sq ft)

Other offices

NYC, London, Dublin, Tokyo, Paris, Singapore, Seattle, Sydney, Seoul, Washington DC, Mountain View

International remote

India-specific roles only

Relocation window for new hires

~45 days if not already local

Glassdoor rating

4.5 / 5.0

Work-life balance

3.6 / 5.0 (Glassdoor) · 3.1 / 5.0 (Blind)

Recommend to a friend

86%

4%

Of OpenAI’s 720 open roles are listed as remote — the lowest among major AI labs

Open roles at OpenAI

3 of 720 live · refreshed daily

[Technical Program Manager, Compute Infrastructure San Francisco](https://jobsbyculture.com/jobs/openai/technical-program-manager-compute-infrastructure) [Research Engineer San Francisco](https://jobsbyculture.com/jobs/openai/research-engineer) [Account Director - Tokyo Tokyo, Japan](https://jobsbyculture.com/jobs/openai/account-director-tokyo)

[See all 720 OpenAI roles →](https://jobsbyculture.com/jobs?company=openai)

## Sam Altman on Remote Work: “The Experiment Is Over”

OpenAI’s office-first stance starts at the top. In 2023, Sam Altman told an audience at a Stripe event: “The experiment on that is over, and the technology is not yet good enough that people can be full remote forever, particularly on startups. Startups need a lot of in-person time, and the more fragile and nuanced and uncertain a set of ideas are, the more time you need together in person.”

For a company building AGI — about as fragile, nuanced, and uncertain as ideas get — this philosophy has held firm. OpenAI’s standard hybrid policy calls for Monday through Wednesday in the office, with Thursday and Friday left to employee discretion. New hires who aren’t already local are given approximately 45 days to relocate before the expectation kicks in.

The underlying logic is intentional: Altman and OpenAI leadership believe that frontier AI requires the kind of spontaneous collaboration, whiteboard sessions, and ambient osmosis that remote work simply cannot replicate. Whether you agree with this view or not, it is consistently applied across the organization.

## Which OpenAI Roles Are Actually Remote?

Based on our analysis of all 655 current job listings, the 28 remote positions fall into four distinct clusters:

### Security Engineering

-   Enterprise Security Engineer
-   Security Engineer, Infrastructure Security
-   Principal Security Engineer, Infrastructure Security (multiple openings)
-   Software Engineer, Trusted Computing and Cryptography
-   Software Engineer, Infrastructure Security

### Infrastructure & Compute (Stargate-related)

-   Datacenter Networking Technician, AI Compute Deployment
-   Datacenter Hardware Operations Technician
-   Datacenter NetDeploy Lead
-   Datacenter Incident Program Manager
-   Infrastructure Partnership Delivery Lead
-   Manufacturing Test Engineer, AI Compute Infrastructure

### AI Deployment & Customer Success

-   AI Deployment Engineer (Codex, ChatGPT Ecosystem, Startups)
-   AI Deployment Manager (US and India)
-   AI Success Engineer
-   Client Platform Engineer

### Operations, Marketing & Other

-   Product Marketing Manager (ChatGPT for Work, Platform)
-   Community Engagement Lead — Stargate
-   Software Engineer, Full Stack (People Innovation)
-   Abuse Investigator (CBRN)
-   Recruiter, Forward Deployed Engineering
-   Communications Manager, India (India — Remote)
-   Consumer Marketing Manager, India (India — Remote)
-   AI Deployment Manager, India (India — Remote)

What’s _not_ available remotely? Essentially everything in core research, model development, product engineering, product design, safety, and most of business and operations. If you want to build GPT-5, work on DALL-E, or join the safety superalignment team, you will be in San Francisco.

## OpenAI Office Locations in 2026

OpenAI has expanded aggressively. The company now occupies over 1 million square feet in San Francisco’s Mission Bay neighborhood and signed an additional lease for a 439,000 sq ft campus in Mountain View. In April 2026, OpenAI announced its first permanent London office in the King’s Cross area — their largest research hub outside the US.

San Francisco, CA

Headquarters · Mission Bay · 1M+ sq ft · Core research & leadership

Mountain View, CA

New campus · 439,000 sq ft · Silicon Valley expansion (2026)

New York City, NY

Puck Building · 90,000 sq ft · Sales, partnerships & engineering

London, UK

King’s Cross · Largest research hub outside US · Opened April 2026

Dublin, Ireland

EMEA operations hub

Tokyo, Japan

APAC hub · Research & policy

Paris, France

European engineering & research

Singapore

Southeast Asia operations

Seattle, WA

Engineering presence

Sydney, Australia

APAC expansion

Seoul, South Korea

APAC expansion

Washington, DC

Government relations & policy

Every one of these locations is in-office. The fact that OpenAI has offices in 12 cities — on 4 continents — does not translate to remote flexibility. If you’re not near one of these locations, the realistic path is relocation.

## What OpenAI Employees Say About Remote Work

Glassdoor and Blind reviews paint a consistent picture: OpenAI is a world-class place to work, but remote-friendly it is not. And even for those in the office, the pace is demanding.

Pro — Glassdoor review “Cutting-edge frontier AI research with world-class colleagues. Elite compensation — top-tier TC and equity packages.”

Con — Glassdoor review “High-intensity environment — long hours and intense pace are the norm.”

Con — Blind review “Bad work-life balance, stress. Heavy workload and tight deadlines.”

Con — Glassdoor review “Internal politics and rapid org changes as the company scales.”

The 3.6/5 work-life balance score on Glassdoor (and 3.1/5 on Blind) is notable. Remote work does not meaningfully change this dynamic. OpenAI’s pace, urgency, and expectations are company-wide, not tied to physical location. The intensity follows you home. On the other hand, 86% of Glassdoor reviewers say they’d recommend OpenAI to a friend — a testament to how compelling the mission and compensation are despite the hours.

Learn more about the full culture in our [Working at OpenAI in 2026](https://jobsbyculture.com/blog/working-at-openai-2026) deep dive, or see the full [OpenAI compensation guide](https://jobsbyculture.com/blog/openai-compensation-2026) for salary ranges and equity details.

## OpenAI vs. Remote-Friendly AI Companies

If you want to work at the frontier of AI _and_ work remotely, the options are limited but they exist. Here’s how OpenAI stacks up against companies with genuinely more flexible remote policies:

Company

Remote Policy

Glassdoor

WLB

Open Roles

[OpenAI](https://jobsbyculture.com/companies/openai)

Hybrid (Mon–Wed in office), 4% remote

4.5

3.6

655

[Anthropic](https://jobsbyculture.com/companies/anthropic)

“Remote-friendly” (7% remote roles)

4.4

3.7

443

[GitLab](https://jobsbyculture.com/companies/gitlab)

All-remote, 65+ countries, no offices

4.2

4.1

~80

[Databricks](https://jobsbyculture.com/companies/databricks)

Hybrid with meaningful remote options (~25%)

4.4

3.8

~250

[PostHog](https://jobsbyculture.com/companies/posthog)

Fully remote, 35+ countries

4.3

4.5

17

The trade-off is stark. OpenAI offers frontier AGI research, $200k–$490k compensation, and the chance to build technology that is reshaping the world. But remote work is largely off the table. GitLab, PostHog, and to a lesser extent Databricks offer far more flexibility — but without the same cutting-edge research or compensation ceiling. There’s no free lunch here; it comes down to what you’re optimizing for.

### The Bottom Line

OpenAI is among the best places on earth to work if you want to build frontier AI — but it is one of the least remote-friendly. Only 4% of 655 roles are remote, the standard expectation is three in-office days per week, and Sam Altman has been unambiguous about his views on distributed work. If you’re willing to relocate to San Francisco (or to one of OpenAI’s 11 other offices), the opportunity is extraordinary. If remote is non-negotiable, look at [GitLab](https://jobsbyculture.com/companies/gitlab), [PostHog](https://jobsbyculture.com/companies/posthog), or [Databricks](https://jobsbyculture.com/companies/databricks).

## Open Positions at OpenAI

OpenAI currently has **720 open positions** across research, engineering, product, safety, infrastructure, and go-to-market. The vast majority require being in San Francisco, though the company’s global footprint means in-office roles span 12 cities across 4 continents. Remote roles (28 total) are concentrated in security engineering, Stargate infrastructure, and AI deployment.

For the full list of live openings with location filters, visit the [OpenAI jobs page](https://jobsbyculture.com/jobs?company=openai) or explore the [OpenAI culture profile](https://jobsbyculture.com/companies/openai) for Glassdoor ratings, employee reviews, and culture value analysis.

## Frequently Asked Questions

Is OpenAI remote friendly?+

OpenAI is not remote-friendly in any meaningful sense. Of 720 open roles, only 28 (4%) are listed as remote — and most of those are US-only. Sam Altman famously called remote work “a mistake” in 2023, and OpenAI’s culture has remained firmly office-first since. The standard policy is a hybrid schedule of Monday–Wednesday in office, with Thursday–Friday flexible. If remote work is a hard requirement, look at [GitLab](https://jobsbyculture.com/companies/gitlab), [PostHog](https://jobsbyculture.com/companies/posthog), or [Databricks](https://jobsbyculture.com/companies/databricks) instead.

What is OpenAI’s remote work policy in 2026?+

OpenAI’s remote work policy in 2026 is hybrid-first, office-heavy. Employees near an office are expected in Monday through Wednesday, with Thursday and Friday flexible. New hires who aren’t local are given approximately 45 days to relocate. Fully remote roles exist but are rare (4% of current openings), concentrated in security engineering, infrastructure, AI deployment, and select operations roles. There is no work-from-anywhere policy.

Where are OpenAI’s offices located?+

OpenAI’s headquarters is in San Francisco (Mission Bay), where the company now occupies over 1 million square feet, plus a new 439,000 sq ft campus in Mountain View. Other confirmed offices include New York City (Puck Building, 90,000 sq ft), London (King’s Cross — the largest research hub outside the US, opened April 2026), Dublin, Tokyo, Paris, Singapore, Seattle, Sydney, Seoul, and Washington DC.

Can you work remotely at OpenAI from outside the US?+

There are very limited international remote options at OpenAI. The company has a small set of “India — Remote” roles for India-specific positions (Communications Manager, AI Deployment Manager, Consumer Marketing Manager, AI Deployment Engineer). Beyond that, international positions require being physically present at one of OpenAI’s offices. OpenAI does not offer a global work-from-anywhere model. For international remote flexibility, consider [GitLab](https://jobsbyculture.com/companies/gitlab) (all-remote, 65+ countries) or [PostHog](https://jobsbyculture.com/companies/posthog) (35+ countries).

What do OpenAI employees say about remote work and work-life balance?+

OpenAI employees on Glassdoor rate work-life balance 3.6 out of 5. On Blind, the WLB rating drops to 3.1 out of 5. Common cons include “bad work-life balance,” “heavy workload and tight deadlines,” and “high-intensity environment.” Remote work, where available, does not meaningfully improve the hours — the pace and demands are company-wide. On the upside, 86% of Glassdoor reviewers would recommend OpenAI to a friend, citing world-class colleagues and elite compensation.

Which OpenAI roles are available remotely?+

The 28 remote roles at OpenAI (as of April 2026) fall into four categories: Security Engineering (Enterprise Security Engineer, Infrastructure Security engineers, Principal Security Engineer); Infrastructure & Compute related to Stargate (Datacenter Networking Technician, Hardware Operations, NetDeploy Lead, Incident Program Manager); AI Deployment & Customer Success (AI Deployment Engineer, AI Success Engineer, AI Deployment Manager); and select Operations & Marketing roles (Product Marketing Manager, Community Engagement Lead, Recruiter). Most remote roles are US-only. A handful of India-specific roles are listed as “India — Remote.” See all [current OpenAI openings](https://jobsbyculture.com/jobs?company=openai).

### Browse OpenAI’s 720 open roles

Filter by location, role type, and seniority. See which positions are remote-eligible.

[See OpenAI Jobs →](https://jobsbyculture.com/jobs?company=openai) [Working at OpenAI Guide →](https://jobsbyculture.com/blog/working-at-openai-2026)

---

## Document: Palantir Salary 2026: $186K–$415K+ TC, Stock That Turned Employees Into Millionaires

# Palantir Salary 2026: $186K–$415K+ TC, Stock That Turned Employees Into Millionaires

> Palantir compensation in 2026: $186K-$350K+ total comp for SWEs, $171K-$415K+ for FDSEs, and PLTR stock from $8 IPO to ~$137. Full breakdown of salary, RSUs, the FDSE role, and how it compares to Anthropic, OpenAI, Google, and Meta.

Source: https://jobsbyculture.com/blog/palantir-compensation-2026
Markdown: https://jobsbyculture.com/blog/palantir-compensation-2026.md
Last updated: 2026-07-14

---
TL;DR — Key Takeaways

-   Palantir SWE total compensation ranges from **$186K to $350K+**, with a median of approximately **$260K** according to employee-reported salary data.
-   The real story is the **stock**: PLTR went from **~$8 at IPO to ~$137** in May 2026 — a roughly **17x increase**. Early RSU grants have been life-changing.
-   The unique **Forward Deployed Software Engineer (FDSE)** role pays **$171K–$415K+** total comp — client-facing, travel-heavy, and one of the most intense SWE roles in tech.
-   Glassdoor overall: **3.7/5**. Comp & Benefits: **4.0/5**. Work-Life Balance: **2.8/5**. Revenue per employee: **$1.5M annually** — one of the highest in tech.

In This Article

1.  [Quick Stats at a Glance](#glance)
2.  [Total Compensation Breakdown](#breakdown)
3.  [The Stock Story: $8 to $137](#stock)
4.  [FDSE: Palantir’s Unique Role](#fdse)
5.  [How Palantir Compares](#comparison)
6.  [The Trade-Off: Pay vs. Hours](#tradeoff)
7.  [Pros & Cons of Palantir Compensation](#pros-cons)
8.  [Frequently Asked Questions](#faq)

[Palantir Technologies](https://jobsbyculture.com/companies/palantir) is one of the most polarizing compensation stories in tech. Founded in 2003 by Peter Thiel, Alex Karp, and others, and now publicly traded on the NYSE under PLTR, the company has built a reputation for intense work, mission-driven culture, and — for those who joined at the right time — extraordinary wealth creation through stock appreciation.

The numbers tell a dramatic story. Palantir’s stock price hovered around $8 at its 2020 direct listing. In May 2026, it trades at roughly $137. An employee who received a modest RSU grant of 10,000 shares at IPO is now sitting on over $1.3 million. That kind of appreciation has made Palantir one of the best “quiet wealth” stories in tech — even as base salaries remain moderate relative to the largest tech companies. For more on what it’s actually like inside the company, see our [full deep-dive on working at Palantir](https://jobsbyculture.com/blog/working-at-palantir-2026).

But the stock-fueled comp story comes with serious trade-offs. Work-life balance is rated 2.8 out of 5.0 — one of the lowest in our [entire directory of 118 companies](https://jobsbyculture.com/companies). Employees routinely report 50+ hour weeks. CEO Alex Karp has openly described Palantir as a place where the work is “the absolute hardest and most rewarding job” you’ll ever have. Whether that trade-off is worth it depends entirely on what you optimize for.

## Quick Stats at a Glance

Component

Detail

Company

Palantir Technologies (NYSE: PLTR)

Founded

2003

Employees

~4,000

Revenue (FY2026 guidance)

$7.65B+

Revenue per employee

~$1.5M annually

Glassdoor overall

3.7 / 5.0 (873 reviews)

Comp & Benefits score

4.0 / 5.0

Work-Life Balance

2.8 / 5.0

Recommend to friend

~71%

SWE TC range

$186K–$350K+

SWE base salary

$155K–$240K

FDSE TC range

$171K–$415K+

Stock price (May 2026)

~$137 (from ~$8 at 2020 IPO)

$1.5M

Revenue per employee — among the highest in tech

85%

Year-over-year revenue growth (Q1 2026)

~$137

PLTR stock price — up from ~$8 at IPO

## Total Compensation Breakdown

Palantir’s compensation structure follows a familiar three-part model: base salary, equity (RSUs), and performance bonus. But the relative weight of each component — and particularly the outsized role of stock appreciation — makes Palantir’s comp story unusual.

### Base Salary

Base salaries at Palantir range from approximately $155K to $240K for software engineers. This is moderate by Big Tech standards — noticeably below what [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026) or [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026) offer at equivalent levels, and slightly below Google or Meta’s ranges. Palantir has never positioned itself as a base-salary leader. The company’s philosophy is that equity is where the real compensation lives.

### Equity (RSUs)

Equity is the centerpiece of Palantir compensation. As a public company trading on the NYSE, Palantir grants RSUs that vest on a standard schedule and can be sold immediately upon vesting — no liquidity event needed. This is a meaningful advantage over pre-IPO companies where equity is speculative.

The story that defines Palantir’s equity narrative is the stock’s trajectory. PLTR went public in September 2020 at approximately $8 per share via direct listing. Through a combination of commercial growth (Foundry adoption), government contract expansion (Gotham/AIP), and AI-driven investor enthusiasm, the stock has climbed to roughly $137 — a 17x increase in under six years. For employees who received grants during the early public years, this appreciation has been transformative.

### Performance Bonus

Palantir offers annual performance bonuses, though the structure is less standardized than at companies like Google or Meta. Bonuses are performance-based and can vary significantly by role, team, and individual impact. The FDSE role (covered below) often has a different bonus structure than backend engineering roles, reflecting the client-facing nature of the work.

Employee Pro “Stock appreciation has been incredible. My RSU grants from 2021 are worth 10x what they were when I received them. The equity component is the real compensation story here.”

## The Stock Story: $8 to $137

You cannot understand Palantir compensation without understanding what has happened to PLTR stock. It is, by any measure, one of the most remarkable stock appreciation stories in enterprise software.

Palantir went public via direct listing in September 2020. The reference price was $7.25, and shares opened trading around $10, settling near $8–$9 in the following months. For the first two years of public trading, the stock was volatile and often disappointing — hitting lows around $6 during the 2022 tech correction. Employees who joined expecting quick gains were frustrated.

Then came the AI wave. Palantir’s AIP (Artificial Intelligence Platform) — launched in 2023 — caught commercial tailwinds at exactly the right time. Revenue accelerated: Q1 2026 revenue hit $1.63 billion, representing 85% year-over-year growth. The company’s FY2026 revenue guidance is $7.65 billion or more. The market responded: PLTR climbed from ~$8 in early 2023 to ~$137 by May 2026.

What does this mean in practical terms? Consider an engineer who joined in early 2021 and received an initial RSU grant of 15,000 shares at a reference price of $25. Those shares are now worth over $2 million. Even an engineer who joined at the stock’s 2022 nadir ($6–$8 per share) has seen their equity multiply 17x or more. This is the kind of wealth creation that typically only happens at pre-IPO companies — Palantir managed it as a public company.

The question for prospective employees in 2026 is different: with PLTR already at ~$137, is there meaningful upside left? That depends on whether you believe Palantir can sustain 50%+ revenue growth as it becomes an enterprise AI platform company. The revenue per employee ($1.5M annually) suggests extraordinary efficiency, and the AIP adoption curve remains steep. But the stock already reflects enormous optimism.

### The Stock Verdict

For employees who joined before 2023, PLTR stock has been a once-in-a-career wealth event. For new hires in 2026, the equity is real and liquid — but the massive appreciation phase may be behind you. Evaluate Palantir equity at current prices, not at what early grants turned into.

## FDSE: Palantir’s Unique Role

The Forward Deployed Software Engineer is a role that exists essentially nowhere else in tech, and it’s central to understanding both Palantir’s business model and its compensation structure.

FDSEs work directly at client sites — government agencies, intelligence organizations, defense contractors, and increasingly, commercial enterprises. They deploy and customize Palantir’s platforms (Gotham for defense/intelligence, Foundry for commercial, AIP for AI) to solve specific client problems. The role combines deep technical skills with client-facing communication, travel, and the ability to operate in high-stakes environments.

Total compensation for FDSEs ranges from approximately $171K to $415K or more. The range is wide because FDSE comp varies significantly based on seniority, client assignment, travel requirements, and performance. Senior FDSEs working on high-value government contracts can earn substantially more than entry-level FDSEs on commercial deployments.

The FDSE role is not for everyone. The travel can be intensive. The client environments range from Fortune 500 boardrooms to secure government facilities. The hours are demanding even by Palantir standards. But for engineers who want direct exposure to how technology solves real-world problems — from military logistics to supply chain optimization to healthcare delivery — FDSE offers something no other company can match.

Employee Pro “As an FDSE, I’ve deployed software that directly impacts national security decisions. The work is exhausting but the impact is undeniable. You won’t find this at Google or Meta.”

Employee Con “FDSE travel expectations are brutal. Some quarters I was away from home 80% of the time. The pay is good but the lifestyle cost is real.”

## How Palantir Compares

To put Palantir’s compensation in context, here’s how it stacks up against other companies engineers typically evaluate alongside it.

Company

SWE Median TC

Base Range

WLB Score

Comp Rating

[Palantir](https://jobsbyculture.com/companies/palantir)

~$260K

$155K–$240K

2.8 / 5

4.0 / 5

[Anthropic](https://jobsbyculture.com/companies/anthropic)

~$405K

$200K–$400K

3.8 / 5

4.5 / 5

[OpenAI](https://jobsbyculture.com/companies/openai)

~$555K

$245K–$500K

3.6 / 5

4.6 / 5

[Stripe](https://jobsbyculture.com/companies/stripe)

~$340K

$175K–$300K

3.6 / 5

4.3 / 5

[Google](https://jobsbyculture.com/companies/google)

~$350K

$175K–$310K

4.0 / 5

4.4 / 5

[Meta](https://jobsbyculture.com/companies/meta)

~$380K

$175K–$320K

3.7 / 5

4.5 / 5

The comparison reveals Palantir’s distinctive position. On raw total compensation, Palantir’s median of ~$260K falls below every company on this list. But that number doesn’t capture the stock appreciation story for existing employees. An engineer who joined Palantir in 2021 with a $260K package where $100K was in RSUs at $25/share is now earning an effective TC far above $260K — because those RSUs are worth 5x their grant-date value.

For _new_ hires in May 2026, however, the calculus is different. RSUs are granted at current market prices (~$137/share), so the upside depends on continued stock growth. At this price, Palantir’s total comp for new hires is genuinely below Anthropic, OpenAI, Google, and Meta — and it comes with significantly worse work-life balance (2.8 vs. 3.6–4.0 at peers).

The counterargument: Palantir offers something none of these companies do — direct exposure to defense, intelligence, and enterprise AI deployment at scale. For engineers who value mission and [product impact](https://jobsbyculture.com/values/product-impact) over work-life balance, the non-financial compensation is significant. Use our [comparison tool](https://jobsbyculture.com/compare) for a detailed side-by-side view.

## The Trade-Off: Pay vs. Hours

This is the section that matters most if you’re evaluating a Palantir offer. The compensation is competitive. The stock story is remarkable. But the intensity is real — and the data confirms it.

Compensation & Benefits 4.0

Career Opportunities 3.9

Overall Rating 3.7

Culture & Values 3.5

Work-Life Balance 2.8

A 2.8 out of 5.0 work-life balance score is among the lowest in our directory. For context, even intense companies like [Stripe](https://jobsbyculture.com/companies/stripe) (3.6) and [OpenAI](https://jobsbyculture.com/companies/openai) (3.6) score meaningfully higher. The 50+ hour average work week is not a bug — it’s a feature of Palantir’s culture. CEO Alex Karp has been explicit about this: the company values intensity, commitment, and a willingness to work harder than the competition.

Employees who rate Comp & Benefits at 4.0/5 while rating WLB at 2.8/5 are making a clear statement: the pay is good, but it comes at a cost. The 1.2-point gap between those two scores is one of the widest in our directory — Palantir earns its compensation, and employees earn their compensation in return.

One important nuance: the Career Opportunities score of 3.9/5 is strong. Palantir’s alumni network is impressive, and the experience — particularly for FDSEs — translates well to senior roles at other companies, government positions, and startup founding. Many former Palantir employees describe it as a career accelerator: two to three years of intense work that opens doors for decades.

## Pros & Cons of Palantir Compensation

### What employees love

Employee Pro “Stock appreciation has been extraordinary — my total comp is multiples of what I’d earn at a comparable level elsewhere when you factor in equity gains.”

Employee Pro “Revenue per employee is $1.5M. That efficiency shows in how the company treats compensation — they can afford to pay well because the business model is incredibly capital-efficient.”

Employee Pro “The career acceleration is real. Two years at Palantir opened doors that five years at a larger company wouldn’t have. The brand on your resume means something.”

### What could be better

Employee Con “Base salary is below market for equivalent roles at Google, Meta, or AI labs. They tell you equity makes up for it, and historically it has — but that’s not guaranteed going forward.”

Employee Con “50+ hour weeks are the norm, not the exception. The culture actively discourages work-life balance as a priority. If you have a family, think carefully.”

Employee Con “Compensation for new hires at current stock prices is less compelling than the stories from people who joined at $8–$25/share. The massive upside has already happened.”

## Frequently Asked Questions About Palantir Compensation

What is the average salary at Palantir in 2026?+

The median total compensation for a software engineer at Palantir is approximately $260K per year based on employee-reported compensation data. This includes base salary ($155K–$240K), RSU equity grants, and performance bonuses. In the San Francisco Bay Area, total comp ranges from $205K (25th percentile) to $459K (90th percentile). For the Forward Deployed Software Engineer (FDSE) role, total comp ranges from $171K to $415K+.

What is a Forward Deployed Software Engineer (FDSE)?+

The FDSE is a role unique to Palantir. FDSEs work directly at client sites — government agencies, defense organizations, and commercial enterprises — to deploy and customize Palantir’s platforms (Gotham, Foundry, AIP). The role combines deep technical skills with client-facing communication and significant travel. TC ranges from $171K to $415K+, with senior FDSEs on high-value contracts earning the most. It’s one of the highest-impact and most demanding SWE roles in tech.

How much has Palantir stock grown since IPO?+

PLTR went public in September 2020 at approximately $8 per share via direct listing. As of May 2026, it trades at roughly $137 — a 17x increase. This appreciation has been driven by commercial revenue growth (AIP platform adoption), expanded government contracts, and the broader AI investment wave. An employee who received 10,000 RSU shares at IPO-era prices now holds over $1.3 million in stock.

How does Palantir pay compare to Google and Meta?+

Palantir’s base salary ($155K–$240K) is generally lower than Google ($175K–$310K) and Meta ($175K–$320K) at comparable levels. For new hires in 2026, Google and Meta offer higher guaranteed total comp. The trade-off is that Palantir demands significantly more hours (50+ per week average vs. roughly 40–45 at Google) and offers different types of work: defense, intelligence, and enterprise AI deployment rather than consumer products. See our [comparison tool](https://jobsbyculture.com/compare) for side-by-side analysis.

What is work-life balance like at Palantir?+

Work-life balance at Palantir is rated 2.8 out of 5.0 on Glassdoor — one of the lowest among all [118 companies in our directory](https://jobsbyculture.com/companies). Employees report 50+ hour weeks on average. This is a deliberate part of Palantir’s culture, not a temporary phase. CEO Alex Karp has described the work as “the absolute hardest and most rewarding job” an engineer can have. If WLB is a priority, consider companies like [Notion](https://jobsbyculture.com/companies/notion), [Linear](https://jobsbyculture.com/companies/linear), or [HubSpot](https://jobsbyculture.com/companies/hubspot) instead.

Is Palantir compensation worth it in 2026?+

It depends on what you value. Palantir’s Comp & Benefits Glassdoor score is 4.0/5 — employees generally feel well-compensated. But the 2.8/5 WLB score means you’re earning that compensation through intense hours. For engineers who want career acceleration, mission-driven work in defense/government/enterprise AI, and public-market equity upside, Palantir is a strong option. For those who prioritize predictable hours and guaranteed high base pay, Google, Meta, or Anthropic may deliver better risk-adjusted value. See our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) for a broader view.

### Explore Palantir’s 276 open roles

Browse open positions at Palantir alongside jobs from Anthropic, OpenAI, Stripe, and more — all with culture context and compensation data.

[Browse Palantir Jobs →](https://jobsbyculture.com/jobs?company=palantir) [View Culture Profile →](https://jobsbyculture.com/companies/palantir)

---

## Document: 60+ Paternity Leave Messages for a Coworker (Heartfelt, Professional, Funny)

# 60+ Paternity Leave Messages for a Coworker (Heartfelt, Professional, Funny)

> 60+ copy-paste paternity leave messages for a coworker — warm, professional, funny, and from-the-team options. Plus how to write your own, what to avoid, and what to say when you don

Source: https://jobsbyculture.com/blog/paternity-leave-messages-for-coworker
Markdown: https://jobsbyculture.com/blog/paternity-leave-messages-for-coworker.md
Last updated: 2026-07-14

---
Paternity leave is one of the easier workplace moments to fumble — not because anyone means harm, but because most of the off-the-shelf messages either sound like a sympathy card or like a stand-up routine about diapers. The good ones do two things: they make the new dad feel seen, and they make him feel like he can actually unplug.

What follows is 60+ messages broken into five categories, plus a section on what to write when you don't know him well, and a guide to writing your own. All of these are copy-paste ready — just add a name. If your team is signing a group card, scroll to the team-card section.

Jump to a section

1.  [Short & professional (for coworkers you don't know well)](#short)
2.  [Heartfelt & sincere](#heartfelt)
3.  [Supportive & "don't think about work"](#supportive)
4.  [Funny & lighthearted (for close colleagues)](#funny)
5.  [From the whole team (group card messages)](#team)
6.  [How to write your own — and what to avoid](#tips)

## Short & Professional

If you don't know him well, you don't need a paragraph. These work for any colleague at any seniority and don't presume a relationship that isn't there.

1.  Congratulations on the new arrival. Wishing your family a calm and joyful first few weeks together.
2.  So happy for you. Enjoy this time with your family.
3.  Congratulations — welcome to the next chapter.
4.  Wishing you and your family all the best during your leave.
5.  What incredible news. Take care of each other.
6.  Many congratulations on becoming a dad. Enjoy every minute.
7.  Thinking of you and your family. Wishing you a beautiful start together.
8.  Congrats! Be present, be well, see you when you're back.
9.  What a special moment. Wishing you all health and joy.
10.  Congratulations to the whole family — this is wonderful news.

## Heartfelt & Sincere

These are for colleagues you know well but want to keep the tone warm and meaningful rather than playful. They work especially well in handwritten cards or longer Slack DMs.

1.  Becoming a parent is the kind of thing nothing prepares you for, and somehow you figure it out anyway. Wishing you and your family every quiet moment, every loud moment, and a soft landing into all of it.
2.  You're about to do the most important work of your life. Don't think about us once. We'll be here when you get back.
3.  Few things in life are as worth the time as the first weeks with a new baby. Take all of them. We've got everything covered here.
4.  So thrilled for you and your family. The next few weeks are going to be hard and beautiful in the same hour — we hope you get more of the beautiful than the hard.
5.  Whatever today's version of "I've got this" looks like, you've got it. Congratulations.
6.  Big news for your family, and a small one for ours: you'll be missed, but we mean it when we say take all the time. This matters more.
7.  Welcome to the part of life that rearranges everything you thought you knew about time. Wishing your family every good thing.
8.  Congratulations to you, your partner, and a very lucky baby.
9.  Your family just got bigger and your priorities just got clearer. Both are good things. Enjoy this leave fully.
10.  Watching colleagues become parents is one of the genuinely good things about working with people for years. So happy for you.

## Supportive & "Don't Think About Work"

The most appreciated kind of paternity leave message is one that gives the new dad permission to actually unplug. Use these when you want him to know nothing here needs his attention.

1.  Don't open Slack. Don't check email. We've got it. Enjoy your family.
2.  If you start to feel guilty for being away, that's the sleep deprivation talking. Ignore it. We're good here.
3.  Anything that would have hit your inbox is being handled. You have a more important job for the next few weeks.
4.  Your only deliverable for the next month is being present. Crush it.
5.  I will personally roll my eyes at anyone who tries to ping you about anything work-related. Go enjoy this.
6.  Out-of-office set, calendar cleared, projects covered. The only thing you owe us is a photo when you're ready.
7.  The work will still be here. The first weeks with a newborn won't. Use them.
8.  Take every day. You earned them and you'll never get them back.
9.  Whatever you were worried about handing off, it's handled. Go be a dad.
10.  You're going to be tempted to "just check in." Resist. We'll see you when you're back.

## Funny & Lighthearted

These work best with colleagues you actually joke with. If you're not sure how a joke will land, go heartfelt instead — a sincere note is always safe; a joke that lands wrong is remembered for a long time. Keep humor on yourself or on shared experiences, never on the partner doing more work, and never on parenthood being suffering.

1.  I have it on good authority that the next six weeks will involve very little sleep and a remarkable amount of laundry. May both be quickly forgotten and replaced with much better stories. Congratulations.
2.  Welcome to the secret society of people who fall asleep mid-sentence. Membership is permanent. Wishing you a smooth onboarding.
3.  You are about to learn that "a quick shower" is a luxury good. I am rooting for you. Enjoy this leave.
4.  I hope every single one of your meetings for the next six weeks is just lying on the floor staring at a baby. Best meetings.
5.  Your auto-reply should just say "promoted." Congratulations, sir.
6.  I'm told the first month is mostly horizontal. Embrace it. Enjoy every minute.
7.  Two pieces of advice: nap when they nap, and there is no glory in being the one who wakes up first. Be well, friend.
8.  You're about to discover the smallest, loudest, best alarm clock on the market. Enjoy the install period.
9.  Promotion congrats! New title is "Dad," new commute is roughly six feet, and your manager is significantly cuter than the previous one.
10.  I hope your leave is everything you imagined and a little less of what you didn't. Congratulations to the whole crew.

## From the Whole Team (Group Card Messages)

If your team is signing a group card, these are designed to be the longer "from all of us" message at the top. They give space for individual signatures below. Even when the team has 25 people, the new dad will read this one slowly — make it count.

1.  From all of us — congratulations. Take every minute of this leave, and don't think about us once. Whatever needs covering, we've got it. Looking forward to seeing the first photos when you're back — and only when you're ready.
2.  Welcoming a baby into the world is huge, and we're so glad to be on the team that gets to celebrate this with you. We've got things covered here. You take care of your family. We'll see you when you're back.
3.  The whole team is sending love to you, your partner, and the newest member of your family. There is nothing here that can't wait. Enjoy every minute.
4.  One of the best parts of working with people for years is celebrating moments like this together. We're so happy for you. Take all the time. Send a photo when you can — not before.
5.  Congratulations from the whole team. Whatever was on your plate is being handled. Your only job for the next several weeks is to be present with your family. We can't wait to see you (and the new addition) when you're back.
6.  From the entire team: this is wonderful news, and we hope this leave is full of quiet wins. The work isn't going anywhere. The first weeks are. Spend them well.

### Create a free group paternity leave card

Combine any of these messages into a card the whole team can sign. Free, no account required, works for remote and hybrid teams.

[Create a Group Card →](https://jobsbyculture.com/culture-cards) [Compare Card Tools →](https://jobsbyculture.com/blog/free-online-group-greeting-cards)

## How to Write Your Own — and What to Avoid

The messages above will cover almost any situation. But if you want to write your own, the principles below separate the messages that get read once from the ones that get kept.

### Three things every good paternity leave message does

-   **Names the moment without making it about you.** "Becoming a parent is the kind of thing nothing prepares you for" works. "When I had my kids, I remember thinking…" makes it about your story, not his.
-   **Gives him permission to unplug.** The single most appreciated line a new dad hears at work is some version of _"we've got it covered, don't think about it."_ He's worried about being away. Lift that worry, even briefly.
-   **Includes the family, not just him.** A message that congratulates the dad and ignores the partner reads colder than it should. "Wishing you and your family" lands warmer than "wishing you" almost every time.

### Five things to avoid

-   **Don't joke about how hard it'll be.** "Sleep while you can — you're about to lose it for 18 years" is meant kindly and lands as foreboding. Skip it.
-   **Don't comment on how much time he's taking.** Whether you think he's taking too much or not enough, the leave message isn't the place. It's a card, not policy feedback.
-   **Don't sneak in work questions.** Even a casual "before you go, did you happen to…" undermines the permission to unplug. If you genuinely need something handed off, do it in a separate conversation before the leave starts — not in the card.
-   **Don't minimize the partner.** Jokes like "your partner is about to do all the hard work" land badly. Paternity leave exists precisely so dads can do the hard work too. Honor that.
-   **Don't over-promise photo updates.** "Send pics whenever you want" is fine. "We're all waiting for the first photo!" reads as pressure on a family that may want privacy.

And one more: if your company is one of the ones with genuinely good paternity leave policy, that itself is a thing worth recognizing in the broader culture — not in this card, but in how the team talks about it. Companies where dads actually take their full leave (not just the symbolic two weeks) signal something real about [work-life balance](https://jobsbyculture.com/values/wlb) and [how the leadership models priorities](https://jobsbyculture.com/values/transparent). If your company is one of those, your colleague is lucky in a non-trivial way.

## What to Say in Person When He Comes Back

The leave message gets the moment of departure. But the return is often the part new dads remember more vividly — the day you walked back into work after weeks of being someone else entirely. A simple "welcome back, hope the leave was everything you needed" lands warmly. Avoid making him recap the leave for every coworker in the first hour. Ask how he's doing, not how the baby is. And if it's a quiet day, ask if there's a photo — once. He'll either say yes proudly or politely change the subject. Both are fine.

The teams that handle these moments well aren't the ones with the best card software or the longest message lists. They're the ones where people actually mean it when they say _"we've got you, take the time."_ If that's not your team's culture, the card is just a card. If it is, the card is one of dozens of small things that add up to people staying at companies they love for years. For more on the small habits that signal real culture — not just stated values — see our piece on [what company culture actually is](https://jobsbyculture.com/blog/what-is-company-culture).

## Frequently Asked Questions

What do you say to a coworker going on paternity leave?+

Keep it warm, brief, and focused on him and the family — not the work. A line like _"Wishing your family a calm few weeks together. We'll keep things steady here — go enjoy this"_ works for almost any relationship. Avoid jokes about sleep deprivation if you don't know him well, and never say things like "this is going to be brutal" — even as humor. The tone you want is supportive, not braced for hardship.

Should I send a paternity leave message even if I don't know him well?+

Yes. A short, sincere message from a distant colleague lands better than silence. Something like _"Congratulations on your new arrival — wishing you and your family the best in this next chapter"_ is appropriate from anyone on a team. Don't overthink it. The fact that you took 30 seconds to say something matters more than what exactly you said.

Is it appropriate to be funny in a paternity leave message?+

Yes — if you have the relationship. Light, kind humor about lack of sleep, diaper duty, or being newly outranked at home lands well between colleagues who already joke around. Avoid jokes that imply parenthood is suffering, jokes about the partner doing "all the work," or anything that minimizes the moment. When in doubt, go heartfelt. A sincere note is always safe; a joke that lands wrong is remembered.

How long should a paternity leave message be?+

For a shared team card, 1–3 sentences. For a personal email or Slack DM, 3–6 sentences is the sweet spot — long enough to be warm, short enough to read in 15 seconds when he's holding a sleeping infant. Skip the long paragraph about your own kids unless you're genuinely close. This is his moment, not a parenting conversation.

Should I mention work in a paternity leave message?+

Only to reassure him not to think about it. _"We've got this covered — focus on your family"_ is one of the most appreciated lines a new dad hears. Never use a leave message to brief him on a project, hint at a meeting he'll miss, or imply you'll need his input. The message is a permission slip to actually unplug. Don't undermine that.

What do you say in a card from the team for paternity leave?+

Lead with warmth, then collective reassurance. Something like: _"From all of us — congratulations. Take every minute of this leave, and don't think about us once. Whatever needs covering, we've got it. Looking forward to seeing the first photos when you're back."_ The team-card version should feel like a hug, not a status update.

Should I bring up paternity leave policy or how much time he's taking?+

No. Don't comment on whether he's taking enough time, whether he's taking too much, or how the company's policy compares to others. Even a well-meant _"I wish I'd had that much when I had my kids"_ can land as guilt. Keep the message about him and his family, full stop. Policy commentary belongs in employer-feedback channels — not a card.

---

## Document: Perplexity AI Salary 2026: $180K–$450K+ TC, Equity & How It Compares

# Perplexity AI Salary 2026: $180K–$450K+ TC, Equity & How It Compares

> Perplexity AI compensation in 2026: $180K-$450K+ total comp for engineers, with significant pre-IPO equity at a $22B+ valuation. Real compensation data from verified reports, equity structure, and how it compares to OpenAI, Anthropic, and Cursor.

Source: https://jobsbyculture.com/blog/perplexity-compensation-2026
Markdown: https://jobsbyculture.com/blog/perplexity-compensation-2026.md
Last updated: 2026-07-14

---
TL;DR — Key Takeaways

-   Perplexity AI engineer base salaries range from **$160K–$240K**, with total compensation reaching **$250K–$450K+** when including equity and bonuses, based on verified salary data.
-   Equity is granted as **stock options (ISOs/NSOs) or RSUs** — standard private-company equity with a 4-year vest and 1-year cliff. The company is valued at **$22B+** with no IPO planned before 2028.
-   The company has grown from ~500 to **~1,400+ employees** in under a year, with revenue targeting **$700M by end of 2026** (up from ~$200M ARR in late 2025).
-   Glassdoor overall score of **4.7/5**, with 92% recommending and a work-life balance score of **4.3/5** — notably higher than most frontier AI companies.

In This Article

1.  [Quick Stats at a Glance](#glance)
2.  [The Short Version](#short-version)
3.  [Base Salary by Role](#base-salary)
4.  [Equity: The Real Bet](#equity)
5.  [Benefits & Perks](#benefits)
6.  [How Perplexity Compares](#comparison)
7.  [Who Gets Paid the Most?](#who-earns-most)
8.  [Negotiation Tips](#negotiation)
9.  [Frequently Asked Questions](#faq)

[Perplexity AI](https://jobsbyculture.com/companies/perplexity) is arguably the most compelling equity story in AI right now. Founded in August 2022 by Aravind Srinivas (Berkeley PhD, ex-OpenAI and DeepMind researcher), the AI search company has gone from zero to a $22B+ valuation in under four years. Revenue grew from $35M ARR in mid-2024 to ~$200M by late 2025, with a $700M target for 2026. The company has raised $1.7B+ in total funding from investors including NVIDIA, Jeff Bezos, and IVP.

The compensation picture at Perplexity reflects its position as a high-growth, pre-IPO startup. Base salaries are competitive but not at the extreme top of the market. The real financial upside lives in the equity. If Perplexity goes public at or above its current valuation — and the trajectory suggests it could — early and mid-stage employees stand to see life-changing returns. That’s the bet you’re making when you join.

## Quick Stats at a Glance

Component

Detail

Company

Perplexity AI

Founded

August 2022

Employees

~1,400+ (up from ~500 in early 2025)

Valuation

$22B+ (Series E-6, Jan 2026)

Total funding

$1.7B+ across 11 rounds

Glassdoor overall

4.7 / 5.0

Work-Life Balance

4.3 / 5.0

Recommend to friend

92%

Engineer base salary

$160K–$240K

Engineer total comp

$250K–$450K+

Equity type

Stock options (ISOs/NSOs) or RSUs

Open roles

66

$22B+

Current valuation — up from $3B just 18 months ago

## The Short Version

Perplexity structures compensation around three components: base salary, equity grants, and performance bonuses. A typical mid-level engineer offer looks roughly like this: $190K–$220K base salary, a meaningful equity grant vesting over 4 years, and a performance bonus. Depending on the equity grant size and how you value pre-IPO stock, total compensation lands in the $300K–$450K range for most engineering roles.

The key distinction between Perplexity and the frontier labs (OpenAI, Anthropic, DeepMind) is the risk/reward profile. Perplexity’s base salaries are lower. But the equity carries asymmetric upside. The company’s valuation has roughly 7x’d in 18 months. If that trajectory holds through an IPO — and Srinivas has said the company won’t go public before 2028 — the equity component could dwarf anything you’d earn in base salary. That said, pre-IPO equity is illiquid and carries real risk. This is a startup bet, not a guaranteed payout.

## Base Salary by Role

Perplexity’s base salaries are calibrated for the Bay Area market but sit below the extreme top end you’d see at OpenAI or Google. The company posts salary ranges in its job listings, which gives us concrete data. These figures are based on verified reports and posted compensation bands.

Role

Base Salary

Est. Total Comp

Software Engineer

$160K–$210K

$250K–$350K

Backend Engineer

$180K–$230K

$280K–$400K

AI/ML Engineer (Full Stack)

$160K–$240K

$300K–$450K

Senior Software Engineer

$200K–$260K

$350K–$500K

Research Engineer

$200K–$270K

$350K–$550K

Staff / Principal Engineer

$250K–$350K

$450K–$776K+

A few things stand out. First, the base salary floor is relatively high — even junior engineers start above $160K. Second, the spread between base and total comp widens dramatically at senior levels, because equity grants scale up significantly for senior hires the company really wants. Third, the research engineer track commands a premium, reflecting the intense competition for ML talent with publications and model training experience.

Interested in these roles? See what’s open now. [See 81 open Perplexity positions →](https://jobsbyculture.com/jobs?company=perplexity)

## Equity: The Real Bet

This is the section that matters most if you’re evaluating a Perplexity offer. The equity is the entire reason to join a company at this stage rather than taking higher guaranteed cash at a public company or a frontier lab.

-   **Equity type: stock options (ISOs/NSOs) or RSUs.** Perplexity grants standard private-company equity. Earlier employees likely received ISOs (Incentive Stock Options), while newer hires may see a mix of ISOs and RSUs depending on the grant structure. This is conventional startup equity — not the novel PPU structure you’d see at OpenAI.
-   **Vesting: 4 years, 1-year cliff.** The standard Silicon Valley schedule. You vest 25% after year one, then monthly or quarterly for the remaining three years. Nothing unusual here.
-   **Valuation trajectory: $3B → $14B → $22B+ in 18 months.** This is the critical context. Perplexity’s valuation has grown roughly 7x since early 2024. Employees who joined at the $3B stage have seen their equity multiply accordingly. Even joining at $22B, if the company reaches $50B+ at IPO (plausible given the revenue trajectory), that’s still a 2x+ return.
-   **Liquidity: limited for now.** Unlike OpenAI, which has facilitated large tender offers, Perplexity hasn’t conducted secondary sales at the same scale. Your equity is effectively illiquid until an IPO or acquisition, which the CEO has said won’t happen before 2028. Plan for a 2–4 year lockup on any equity you receive.
-   **Revenue supports the valuation.** This isn’t a hype-only valuation. Perplexity reached ~$200M ARR by late 2025, with a $700M target for 2026. The company has 15M+ paying customers, real subscription revenue, and expanding enterprise and advertising lines. That matters because it reduces the risk of a valuation correction.

Pro — Employee review “The equity upside is real. When I joined the valuation was a fraction of what it is now. This is the kind of rocket ship you hear about but rarely get to ride.”

Con — Employee review “No secondary market access yet. The equity looks great on paper but I can’t touch it for years. If you need liquidity now, this isn’t the place.”

The fundamental question: _do you believe Perplexity can sustain its growth through an IPO?_ The bull case is strong — AI search is a massive market, the product has real traction (780M+ monthly queries), and revenue is growing at triple-digit rates. The bear case is competition from Google, OpenAI, and others who are building similar search experiences. If you’re willing to accept illiquidity for 2–4 years and you believe the product will keep winning, the equity story is compelling. If you want guaranteed liquidity, look at [DeepMind](https://jobsbyculture.com/blog/deepmind-compensation-2026) (Google RSUs) or a public company.

Related Reading

-   [OpenAI Compensation 2026: Salary, PPU Equity, Bonus & How It Compares](https://jobsbyculture.com/blog/openai-compensation-2026)
-   [Anthropic Compensation 2026: Salary, Equity, Bonus & How It Compares](https://jobsbyculture.com/blog/anthropic-compensation-2026)
-   [Cursor Compensation 2026: Salary, Equity & Total Comp](https://jobsbyculture.com/blog/cursor-compensation-2026)

## Benefits & Perks

Perplexity’s benefits package is solid for a startup at this stage, though more streamlined than what you’d find at OpenAI or Google. The company is still building out its perks infrastructure as it scales from startup to mid-size.

-   **Health insurance:** Comprehensive medical, dental, and vision coverage for employees and dependents. This is table stakes for any competitive AI company, and Perplexity delivers it.
-   **401(k) plan:** Standard 401(k) available, though employer match details are not publicly confirmed. This is notably less generous than OpenAI’s 50% match with mega backdoor Roth.
-   **Equity compensation:** Stock options or RSUs as described above — the centerpiece of the total comp package.
-   **Meals and office perks:** Catered meals at the San Francisco and Palo Alto offices. The company operates with a startup energy — well-stocked kitchens, flexible workspace, the usual Bay Area tech office setup.
-   **Learning and growth:** One of Perplexity’s assigned culture values is [learning & growth](https://jobsbyculture.com/values/learning), and reviews back this up. Engineers work closely with a technical CEO (Srinivas still reviews code and engages deeply in product decisions), and the small team size means you’re exposed to problems across the entire stack.
-   **Flexible work:** The company is primarily in-office (SF and Palo Alto), though some roles have flexibility. This is not a remote-first company — expect to be in the office most days.

Pro — Employee review “CEO is deeply technical and accessible. You can walk up to Aravind and debate product direction. That doesn’t happen at most companies this size.”

Con — Employee review “Growing pains are real. Processes are catching up to the headcount growth. Roles and responsibilities shift frequently as the company scales.”

The benefits gap between Perplexity and the mega-funded frontier labs is real. OpenAI’s 50% 401(k) match, 20-week parental leave, and daily chef-prepared meals represent tens of thousands of dollars in annual value that Perplexity doesn’t match. If benefits matter a lot to you, factor that into the total comp comparison. If you’re optimizing for equity upside and don’t mind a leaner perks package, Perplexity’s tradeoff makes more sense.

## How Perplexity Compares

Perplexity competes for talent with frontier AI labs and other fast-growing AI startups. Here’s how the compensation stacks up across key competitors:

Company

Engineer TC

Glassdoor

Equity Type

[Perplexity AI](https://jobsbyculture.com/companies/perplexity)

$250K–$450K+

4.7 / 5

Options/RSUs (private)

[OpenAI](https://jobsbyculture.com/companies/openai)

$249K–$1.28M

4.5 / 5

PPUs (private)

[Anthropic](https://jobsbyculture.com/companies/anthropic)

$300K–$490K

4.4 / 5

RSUs (private)

[Cursor](https://jobsbyculture.com/companies/cursor)

$200K–$400K

4.5 / 5

Options (private)

[DeepMind](https://jobsbyculture.com/companies/deepmind)

$300K–$500K

4.0 / 5

Google RSUs (public)

The comparison tells a clear story:

-   **OpenAI pays more in raw TC** at every level, with senior engineers and researchers crossing $1M. The gap is enormous at the top. But OpenAI’s PPU equity structure is more novel and less proven than standard stock options.
-   **Anthropic is the closest comp match.** Similar stage (private, well-funded), similar TC range, similar vibe (mission-driven AI company). Anthropic’s TC may edge slightly higher at mid-levels, but Perplexity’s valuation growth has been faster.
-   **Perplexity has the highest Glassdoor score in the group (4.7).** This is significant. Employee satisfaction across culture, management, and compensation is measurably higher than at OpenAI (4.5), Anthropic (4.4), and DeepMind (4.0). The WLB score of 4.3 also stands out — most AI companies hover around 3.5–3.7.
-   **Cursor is the other startup bet.** Similar stage, similar risk profile, but smaller team and lower valuation. Perplexity’s revenue traction ($200M+ ARR) gives it a meaningfully de-risked equity story compared to earlier-stage startups.
-   **DeepMind offers the safest equity** (liquid Alphabet RSUs) but the lowest Glassdoor score and potentially less individual impact given the larger organizational structure.

## Who Gets Paid the Most?

Perplexity is a ~1,400-person company, so the compensation hierarchy is flatter than at a 50,000-person tech giant. That said, certain roles clearly command premium packages:

-   **Research engineers and ML scientists** working on core model development, retrieval-augmented generation, and search ranking. These roles sit at the intersection of Perplexity’s core technology moat and the most competitive talent market in AI. Expect total comp of $400K–$550K+ at senior levels, with equity grants sized to compete with offers from frontier labs.
-   **Staff and principal engineers** with deep systems experience — particularly in infrastructure, distributed systems, and large-scale serving. Perplexity handles 780M+ monthly queries, and the engineers who keep that running reliably are compensated accordingly. Total comp can reach $450K–$776K+ per verified reports.
-   **Early employees** who joined when the valuation was $1B–$3B. Even if their base salary was modest by today’s standards, their equity grants have appreciated 7–20x. These are the people who will see the largest absolute payouts at IPO.
-   **Go-to-market and enterprise leaders** are increasingly important as Perplexity builds out its enterprise product (with a $750M Microsoft Azure deal signed in early 2026) and advertising business. Senior sales and partnerships leaders can command strong base + equity packages, though typically below what engineering roles receive.

$700M

Revenue target for 2026 — up from ~$200M ARR in late 2025 (230% growth)

## Negotiation Tips

If you’re evaluating a Perplexity offer, here’s how to approach the conversation:

-   **Negotiate the equity grant, not just base salary.** Base salaries at Perplexity are banded by role and level — there’s some flexibility, but the biggest variable is the equity grant. A 30% increase in your option grant at a $22B valuation could be worth hundreds of thousands of dollars at IPO. This is where you have the most room to push.
-   **Understand the strike price.** If you’re receiving stock options (ISOs), your strike price is the fair market value at the time of grant. The lower the strike price relative to the eventual IPO price, the larger your gain. Ask your recruiter what the current 409A valuation is and how recently it was updated. This number directly determines the cost basis of your options.
-   **Use competing offers as leverage.** Offers from OpenAI, Anthropic, Google, or other well-funded AI companies give you credible leverage. Perplexity knows it can’t match OpenAI’s raw TC, so the negotiation typically centers on equity grant size and signing bonuses to bridge the gap.
-   **Ask about secondary sale plans.** One of the biggest unknowns at Perplexity is when employees will be able to sell shares. Ask whether the company has plans to facilitate tender offers or secondary transactions before IPO. This signals whether you’ll have any liquidity events in the next 2–3 years.
-   **Factor in the growth environment.** Perplexity’s 4.7 Glassdoor score, 4.3 WLB rating, and technical CEO culture are real differentiators. If you’re choosing between Perplexity at $350K TC and OpenAI at $500K TC, the quality-of-life gap and career growth at a smaller, faster-moving company may offset the cash difference — especially if the equity pays off.
-   **Negotiate a signing bonus for equity bridge.** If you’re leaving unvested equity at your current employer, ask for a signing bonus to offset the loss. This is standard practice and Perplexity will typically accommodate it for strong candidates.

### Is Perplexity Compensation Worth It?

Perplexity’s compensation isn’t the highest in AI. OpenAI pays more. Anthropic probably edges it at comparable levels. DeepMind offers liquid equity. But Perplexity offers something none of those companies do: a combination of genuine startup equity upside, a product with massive consumer traction (780M+ monthly queries), triple-digit revenue growth, and a 4.7 Glassdoor score with a 4.3 WLB rating. The company has gone from founding to $22B+ valuation in under four years. If you’re optimizing for the next 3–5 years of career trajectory and you believe AI search is a winning category, Perplexity is one of the strongest bets available. If you want maximum cash now or guaranteed liquidity, look at the frontier labs or public companies instead.

## Open Positions at Perplexity AI

Perplexity currently has **81 open positions** across engineering, research, product, design, and go-to-market roles. The company has nearly tripled its headcount in the past year (from ~500 to 1,400+ employees), and hiring continues aggressively as the company pushes toward its $700M revenue target. Most roles are based in San Francisco and Palo Alto, with a small number available in other locations.

The company is expanding into AI agents, enterprise search, finance features, and advertising — creating new role categories that didn’t exist a year ago. For the full list of live openings, visit the [Perplexity AI jobs page](https://jobsbyculture.com/jobs?company=perplexity). You can also explore the [Perplexity culture profile](https://jobsbyculture.com/companies/perplexity) for Glassdoor ratings, employee reviews, and culture values.

## Frequently Asked Questions

What is the average salary at Perplexity AI in 2026?+

The median total compensation for a software engineer at Perplexity AI is approximately $450K per year, based on verified salary data. This includes base salary ($160K–$240K), pre-IPO equity grants, and performance bonuses. Total comp ranges from roughly $250K for mid-level roles to $450K–$776K+ for senior engineers and research scientists. See all [current Perplexity openings](https://jobsbyculture.com/jobs?company=perplexity).

What kind of equity does Perplexity AI offer?+

Perplexity AI grants equity in the form of stock options (ISOs/NSOs) or RSUs. As a private company valued at over $22 billion with $1.7B+ in total funding, these equity grants carry significant potential upside. The standard vesting schedule is 4 years with a 1-year cliff. CEO Aravind Srinivas has said the company won’t IPO before 2028, so plan for equity to remain illiquid for 1–3+ years.

How much does a Perplexity AI software engineer make?+

Perplexity AI software engineer base salaries range from $160,000 to $240,000 depending on level and specialization. Backend engineers typically see $180K–$230K base, while full-stack AI engineers earn $160K–$240K. When including equity and bonuses, total compensation ranges from roughly $250K to $450K+ for mid-to-senior engineers. Research engineers and staff-level engineers can exceed $550K–$776K in total comp.

Does Perplexity AI pay more than OpenAI?+

No — [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026) generally pays significantly more than Perplexity AI in raw total compensation. OpenAI’s median engineer TC of $555K exceeds Perplexity’s estimated $450K median, and OpenAI’s senior/staff engineers can reach $1M+ in total comp. However, Perplexity’s pre-IPO equity could deliver outsized returns if the company’s $22B+ valuation continues to grow. Perplexity also offers a higher Glassdoor rating (4.7 vs 4.5) and better work-life balance scores (4.3 vs 3.6).

Is Perplexity AI going public?+

CEO Aravind Srinivas has stated that Perplexity has no plans to IPO before 2028. With revenue targeting $700M by end of 2026 and a $22B+ valuation, analysts consider a 2027–2028 IPO plausible if the company hits its growth targets. For employees, this means equity grants could remain illiquid for 1–3 more years, but the potential upside on a successful IPO is substantial.

What benefits does Perplexity AI offer?+

Perplexity AI offers comprehensive health, dental, and vision insurance for employees and dependents, a 401(k) retirement plan, equity compensation, catered meals at office locations, and a flexible work environment. The benefits package is solid for a startup but more streamlined than what you’d find at larger companies like OpenAI (which offers 50% 401k match, 20-week parental leave, and mega backdoor Roth).

Is Perplexity AI hiring in 2026?+

Yes — Perplexity AI is actively hiring in 2026, with [81 open positions](https://jobsbyculture.com/jobs?company=perplexity) across engineering, research, product, and go-to-market roles. The company has grown from roughly 500 employees in early 2025 to over 1,400 in 2026. Hiring is concentrated in San Francisco and Palo Alto, with the company expanding into AI agents, enterprise search, finance, and advertising.

### See all 66 open Perplexity AI roles

Filter by role, seniority, and culture values. Every listing includes compensation context.

[See Perplexity Jobs →](https://jobsbyculture.com/jobs?company=perplexity) [Highest-Paying AI Companies →](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

---

## Document: Plaid Salary 2026: $239K–$978K TC, Pre-IPO Equity & How It Compares to Stripe

# Plaid Salary 2026: $239K–$978K TC, Pre-IPO Equity & How It Compares to Stripe

> Plaid compensation in 2026: $239K-$978K total comp for engineers, with RSU equity at an $8B valuation. Real compensation data from verified reports by level, vesting schedule, and how Plaid compares to Stripe, Brex, Ramp, and Mercury.

Source: https://jobsbyculture.com/blog/plaid-compensation-2026
Markdown: https://jobsbyculture.com/blog/plaid-compensation-2026.md
Last updated: 2026-07-14

---
TL;DR — Key Takeaways

-   Plaid’s median software engineer total compensation is **$325K/year** in the US, ranging from approximately **$239K (E3) to $978K+ (E6+)** per verified compensation data.
-   Equity is granted as **RSUs** vesting over 4 years (1-year cliff, then quarterly). Plaid completed an employee share sale at an **$8 billion valuation** in February 2026 — up 31% from $6.1B a year earlier.
-   Plaid generated **$390M in revenue in 2024** (27% YoY growth), projecting $430M ARR in 2025. An IPO at $8.5B–$10B is considered plausible but has no firm timeline.
-   Glassdoor overall score of **4.6/5**, with 91% recommending and 4.1/5 on Compensation & Benefits. The company is engineering-driven with accessible, transparent leadership.

In This Article

1.  [Quick Stats at a Glance](#glance)
2.  [The Short Version](#short-version)
3.  [Base Salary by Level](#base-salary)
4.  [How Plaid Equity Works](#equity)
5.  [Bonus Structure](#bonus)
6.  [Benefits & Perks](#benefits)
7.  [How Plaid Compares to Stripe, Brex, Ramp & Mercury](#comparison)
8.  [The Pre-IPO Equity Question](#ipo-equity)
9.  [Negotiation Tips](#negotiation)
10.  [Frequently Asked Questions](#faq)

[Plaid](https://jobsbyculture.com/companies/plaid) is the financial infrastructure layer powering thousands of fintech apps — from Venmo and Robinhood to Coinbase and Betterment. If you send money, invest, or apply for a loan through a third-party app, chances are Plaid’s API is somewhere in the stack. That critical infrastructure role gives Plaid unusual pricing power and a path to long-term profitability that pure consumer fintechs don’t have.

But how does that translate to compensation in 2026? Plaid sits in an interesting middle ground: more established than early-stage startups, not yet public, and working through a valuation reset from its 2021 peak of $13.4B. Understanding what Plaid pays — and what the equity is actually worth — requires digging into the data. We’ve done that work below.

## Quick Stats at a Glance

Component

Detail

Company

Plaid

Employees

~800

Valuation (Feb 2026)

$8 billion (employee share sale)

2024 Revenue

~$390M (27% YoY growth)

Glassdoor overall

4.6 / 5.0

Comp & Benefits score

4.1 / 5.0

Work-Life Balance

4.2 / 5.0

Recommend to friend

91%

CEO approval

83% (Zach Perret)

Engineer TC range

$239K–$978K+ (E3–E6+)

Median engineer TC

~$325K (US)

Equity type

RSUs (4-year vesting, 1-year cliff)

$8B

Plaid’s valuation in February 2026 employee share sale — up 31% from $6.1B in April 2025

## The Short Version

Plaid compensation is structured around three components: base salary, RSU equity grants, and performance bonuses. At senior levels, a typical E5 offer combines a base salary around $215K–$220K with an annualized RSU grant of roughly $220K–$255K (depending on location), plus a modest bonus, bringing total compensation to approximately $440K–$475K per year. Entry-level E3 engineers start around $239K total comp; staff-level E6+ engineers can exceed $654K–$978K.

The equity component is the most interesting and uncertain piece. RSUs vest over 4 years with a standard 1-year cliff. Plaid completed a tender offer at $8B in February 2026, giving existing employees real liquidity — a positive signal for the equity value. The open question is whether Plaid can sustain its revenue trajectory toward a public market debut. We cover this in detail in the [Pre-IPO Equity section](#ipo-equity) below.

## Base Salary by Level

Plaid uses an engineering leveling system from E3 (new grad / junior) through E6+ (principal / distinguished). Total compensation figures below are based in verified compensation reports reported data and reflect US-wide averages. San Francisco Bay Area and New York packages are typically 10–15% higher than the national average.

Level

Title

Base Salary (Est.)

Median Total Comp

E3

Software Engineer

$155K–$185K

~$213K–$239K

E4

Software Engineer

$175K–$210K

~$296K

E5

Senior Software Engineer

$210K–$225K

~$426K–$443K

E6

Staff Software Engineer

$240K–$270K

~$538K–$654K

E6+

Principal / Distinguished

$270K+

$654K–$978K+

An E5 example from verified compensation reports: $218,883 base salary + $223,815 RSU/year + $4,460 bonus = $447,158 total compensation. In New York, an E5 averages $473K total comp, with RSU grants reaching $255K/year for top-of-band packages.

Interested in these ranges? See what Plaid has open now. [See open Plaid positions →](https://jobsbyculture.com/jobs?company=plaid)

## How Plaid Equity Works

Plaid grants Restricted Stock Units (RSUs) — the same standard equity instrument used by most large tech companies. This is meaningfully different from OpenAI’s PPUs or early-stage startups issuing stock options. Here’s the full picture:

-   **Vesting schedule: 4 years, 1-year cliff, then quarterly.** You receive 25% of your grant after your first year, then 1/16th each quarter thereafter. This is the most common vesting schedule in tech.
-   **No purchase required.** RSUs are granted; you don’t pay a strike price. When they vest, you receive shares (or cash equivalent). Taxes are due at vest, not at grant.
-   **Current valuation: $8 billion.** In February 2026, Plaid completed an employee share sale at an $8B valuation — up 31% from $6.1B in April 2025 and the highest valuation since 2021. This tender offer gave employees real liquidity before any IPO.
-   **Peak valuation context: $13.4B.** Plaid raised at $13.4B in April 2021. The current $8B valuation represents a ~40% reduction from that peak. Employees who joined in 2020–2021 with grants priced near peak may still be underwater on early tranches — this is an important consideration if reviewing offer packages from that era.
-   **RSU refreshers.** Plaid typically grants refresher RSUs to performing employees annually, helping maintain total comp as initial grants vest. Refresher size is performance-dependent.

Pro — Glassdoor review “The tender offer in early 2026 was a real positive — employees could actually sell shares at a meaningful valuation. Strong signal that leadership cares about employee financial outcomes.”

Con — Glassdoor review “Joined when the company was valued at $13B. The valuation reset was frustrating — equity is worth less than it looked on paper when I signed. Important to price this in realistically.”

Related Reading

-   [Plaid Culture Profile: Glassdoor Ratings, Values & Employee Reviews](https://jobsbyculture.com/companies/plaid)
-   [OpenAI Compensation 2026: Salary, PPU Equity & How It Compares](https://jobsbyculture.com/blog/openai-compensation-2026)
-   [Highest-Paying AI & Tech Companies in 2026: Full Ranking](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

## Bonus Structure

Plaid’s performance bonuses are relatively modest compared to its equity grants — which is typical for infrastructure companies that concentrate compensation in equity rather than cash bonuses. Here’s what reports suggest:

-   **Annual performance bonus:** For most engineering roles, annual bonuses appear to be in the range of $3K–$20K per verified compensation data points — a smaller portion of total comp than at larger companies like Google or Meta. Senior and staff-level engineers with larger RSU grants tend to see lower cash bonus as a percentage of total comp.
-   **Signing bonuses:** Signing bonuses are available and particularly common for senior hires or candidates leaving unvested equity at their current employer. Reports suggest ranges from $25K for mid-level to $75K+ for staff-level hires, though these are negotiable.
-   **Relocation support:** Plaid provides relocation packages for candidates joining offices in San Francisco, New York, or other Plaid locations.

The bonus is genuinely secondary at Plaid — the real story is base salary plus RSU grants. If you’re optimizing total comp in an offer negotiation, focus on the RSU grant size, not the bonus.

## Benefits & Perks

Plaid’s benefits package reflects its Glassdoor rating of 4.1/5 on Compensation & Benefits and 91% employee recommendation rate. Key benefits include:

-   **Health insurance:** Comprehensive medical, dental, and vision coverage for employees and dependents.
-   **401(k) with employer match:** Plaid offers a 401(k) plan with an employer match — the specific match amount has been updated; reports suggest a meaningful match was recently introduced. Check current offer letters for exact figures.
-   **Paid parental leave:** Plaid offers paid parental leave for new parents. Reports suggest a competitive policy in line with other late-stage fintechs, though exact duration should be confirmed with the recruiter.
-   **Equity tender offer access:** The February 2026 employee tender offer demonstrated that Plaid actively creates liquidity opportunities for employees — an underrated benefit that most private company employees don’t get.
-   **Flexible PTO:** Unlimited PTO policy with a 4.2/5 Work-Life Balance Glassdoor score — one of the better WLB profiles in fintech infrastructure.
-   **Professional development:** Budget for conferences, training, and continuing education.
-   **Remote/hybrid flexibility:** Plaid operates hybrid with offices in San Francisco and New York. Engineering roles offer meaningful flexibility compared to peers requiring 4–5 days in-office.

Pro — Glassdoor review “Work-life balance is genuinely good here for fintech. Flexible schedule, reasonable hours, and leadership doesn’t celebrate burnout. Refreshing compared to some competitors.”

Con — Glassdoor review “Benefits are solid but not top-tier in terms of perks and extras compared to Big Tech. No daily meals or lavish office perks. That’s honestly fine with me, but worth knowing.”

## How Plaid Compares to Stripe, Brex, Ramp & Mercury

For engineers evaluating fintech infrastructure opportunities, Plaid competes most directly with Stripe, Ramp, Brex, and Mercury. Here’s how compensation compares across these companies:

Company

Median Eng TC

Glassdoor

Equity Type

Valuation

[Plaid](https://jobsbyculture.com/companies/plaid)

~$325K

4.6 / 5

RSUs (private)

$8B

Stripe

~$312K

4.1 / 5

RSUs (private)

~$70B

Ramp

~$300K

4.6 / 5

RSUs (private)

Multi-billion

Brex

~$435K

3.9 / 5

RSUs (acquired)

$5.15B (Capital One acq.)

Mercury

Lower (est. ~$200K)

4.7 / 5

RSUs / options

Private (undisclosed)

Key takeaways from the fintech infrastructure comparison:

-   **Plaid’s culture scores are the best in class.** At 4.6/5 overall with 91% recommend, Plaid outscores Stripe (4.1/5) and Brex (3.9/5) by a meaningful margin. If you weight culture and engineering environment heavily, Plaid wins.
-   **Stripe offers the strongest equity upside based on valuation.** Stripe’s ~$70B valuation is roughly 9x Plaid’s. If both companies IPO at similar revenue multiples, Stripe equity has significantly larger upside in absolute terms. However, Stripe is also further along the IPO path, meaning more of that valuation may already be priced in.
-   **Ramp is the fastest-growing in the peer set.** Ramp raised at a multi-billion valuation with aggressive revenue growth. For engineers who want equity upside in the smallest, fastest-moving environment, Ramp is worth evaluating — though total comp data is less comprehensive than for Plaid or Stripe.
-   **Brex’s compensation story has changed.** Capital One’s announced $5.15B acquisition of Brex in January 2026 means Brex equity converts to a Capital One transaction. The high verified compensation reports TC numbers ($435K median) may reflect pre-acquisition packages; post-close compensation structures at Capital One will be different.
-   **Mercury prioritizes culture and WLB over comp.** Mercury’s 4.7/5 Glassdoor is the highest in this peer group, and its WLB reputation is strong. But base compensation is meaningfully lower than Plaid or Stripe for engineering roles — the trade-off is intentional.

## The Pre-IPO Equity Question

This is the most consequential question for any Plaid offer: _what is the equity actually worth?_

Plaid’s equity story has had real turbulence. The company was valued at $13.4B in April 2021, then saw Visa’s proposed $5.3B acquisition blocked by the Department of Justice in 2021. The valuation declined through the tech downturn: $6.1B in April 2025, before recovering to $8B in the February 2026 employee share sale.

Here’s how to think about the equity objectively:

-   **The $8B valuation is real and recent.** Unlike many private company valuations that exist only on paper, Plaid’s $8B reflects an actual employee tender offer where shares changed hands at that price. This is meaningful liquidity evidence.
-   **Revenue trajectory is positive.** $390M in 2024 revenue growing 27% year-over-year, with $430M ARR projected for 2025. That’s roughly a 20x revenue multiple at current valuation — aggressive but defensible for a payments infrastructure company with strong network effects.
-   **IPO is a stated long-term goal.** CEO Zach Perret has confirmed an IPO is on the roadmap, though no firm timeline exists. Analysts suggest a potential public debut in late 2026 or beyond at $8.5B–$10B. That would represent modest upside from current RSU pricing.
-   **The key risk: valuation was once 67% higher.** If you’re joining at $8B and a future IPO or acquisition values the company at $6B or lower, your RSUs lose value. Plaid’s competitive moat (bank data API infrastructure with 12,000+ financial institution connections) makes a dramatic collapse unlikely, but the risk is real.

$430M

Projected 2025 annual recurring revenue — the financial foundation underlying Plaid’s $8B valuation

Reports suggest that for candidates joining in 2026, equity priced at the $8B valuation has a cleaner upside story than grants issued near the 2021 peak. The question is whether you believe Plaid can continue compounding revenue and execute a successful public debut. The company’s infrastructure position and growing ARR suggest the path exists — execution is what remains to be proven.

## Negotiation Tips

If you receive a Plaid offer, here’s how to approach the negotiation:

-   **Focus on the RSU grant, not base salary.** At E5 and above, the RSU annualized value ($220K–$255K) is comparable to or larger than base salary. A 15–20% increase in your RSU grant has a much larger long-term impact than a $10K base bump.
-   **Competing fintech offers are your strongest lever.** Offers from Stripe, Ramp, or other well-capitalized fintechs give you the most credible leverage. Even a verbal stage offer from a strong company changes the conversation.
-   **Push for level, not just compensation.** Getting assessed at E5 vs. E4 can increase your total comp by $130K+ per year. If you have evidence of senior-level scope and impact — system design ownership, cross-team influence, mentorship — make that case explicitly during the interview process.
-   **Ask for a signing bonus to bridge equity gaps.** If you’re leaving unvested RSUs at your current employer, Plaid commonly offers signing bonuses to offset the loss. Quantify exactly what you’re leaving behind and present it as a specific number.
-   **Understand the tender offer history.** Ask your recruiter how often Plaid has run tender offers and at what valuation. The February 2026 example is recent and positive, but frequency and future terms aren’t guaranteed.
-   **Factor in WLB in your total picture.** Plaid’s 4.2/5 WLB score is genuinely better than most fintech peers. If the alternative is a higher TC at a company with a 3.2/5 WLB score, that difference has real value that doesn’t show up in a comp spreadsheet.

### Is Plaid Compensation Worth It?

Plaid offers a compelling compensation picture for engineers who want fintech infrastructure exposure without the intensity trade-offs of higher-paying but more grueling environments. The $325K median TC is competitive, the WLB is genuinely good (4.2/5), and the $8B equity valuation — while down from 2021 peaks — has real evidence of value through actual tender offer transactions. The key unknowns are IPO timing and whether Plaid can sustain revenue growth toward an $8.5B–$10B public market debut. For engineers who believe in the open banking infrastructure thesis and want a high-culture, engineering-driven environment, Plaid is one of the best pure-fintech options available in 2026. If maximizing raw total comp is the primary objective, Stripe or Ramp may be worth prioritizing depending on level — though both involve different culture and pace trade-offs. See our [full Plaid culture profile](https://jobsbyculture.com/companies/plaid) for the complete picture.

## Open Positions at Plaid

Plaid is actively hiring across engineering, product, design, and go-to-market roles. The company’s ~800-person engineering-driven team spans offices in San Francisco and New York, with meaningful remote flexibility for many roles. Core engineering focus areas include financial data infrastructure, API platform, developer experience, and risk & compliance tooling.

For the full list of live openings with role details, visit the [Plaid jobs page](https://jobsbyculture.com/jobs?company=plaid). You can also explore the [Plaid culture profile](https://jobsbyculture.com/companies/plaid) for Glassdoor ratings, engineering culture breakdown, and culture value tags.

## Frequently Asked Questions

What is the average software engineer salary at Plaid in 2026?+

The median total compensation for a software engineer at Plaid in the United States is approximately $325,000 per year, according to verified salary reports. This includes base salary, RSU equity grants, and performance bonuses. Total comp ranges from around $239K at entry level (E3) to $978K+ at principal/E6+ level. The median company-wide across all roles is approximately $264K.

How does Plaid equity work in 2026?+

Plaid grants Restricted Stock Units (RSUs) that vest over 4 years with a 1-year cliff (25% vest after year one, then quarterly thereafter). Plaid completed an employee share sale at an $8 billion valuation in February 2026 — up 31% from the $6.1B valuation in April 2025. This tender offer gave employees liquidity without requiring an IPO. An IPO is considered a long-term goal; analysts suggest a potential public debut at $8.5B–$10B valuation, though no firm timeline has been set.

How much does a senior software engineer at Plaid make?+

A senior software engineer (E5) at Plaid earns an average total compensation of approximately $443K per year in the United States, with a base salary around $219K, RSU grant of roughly $224K/year, and a modest bonus. In the New York City area, E5 total comp averages approximately $473K. At E6 (staff/principal), total compensation rises to approximately $654K on average, with some packages exceeding $978K. See all [current Plaid openings](https://jobsbyculture.com/jobs?company=plaid).

Does Plaid pay more than Stripe?+

At the median level, Plaid ($325K) slightly edges Stripe ($312K median) per verified compensation data. However, Stripe’s senior and staff packages can reach $860K+ and its ~$70B valuation means the equity has larger absolute upside potential. Both companies offer RSUs in still-private companies. The more meaningful difference is culture: Plaid scores 4.6/5 on Glassdoor vs. Stripe’s 4.1/5, suggesting a meaningfully better day-to-day employee experience at Plaid.

What benefits does Plaid offer?+

Plaid offers a comprehensive benefits package including medical, dental, and vision coverage; a 401(k) plan with employer match; equity (RSUs) with 4-year vesting; paid parental leave; flexible PTO; remote/hybrid work flexibility; professional development stipends; and commuter benefits. The company’s overall Glassdoor rating is 4.6/5 with 91% of employees recommending Plaid as a workplace, and a 4.2/5 Work-Life Balance score — one of the best in fintech infrastructure.

How does Plaid compensation compare to Ramp and Brex?+

Plaid’s median engineer TC (~$325K) sits between Ramp (~$300K median) and Brex (~$435K median) based on verified salary reports. However, Brex’s compensation picture is in flux given Capital One’s announced $5.15B acquisition — post-close packages will likely shift to Capital One norms. Ramp, which is still independently growing at a high rate, offers compelling equity upside but less comprehensive public comp data. Plaid has the best culture scores of the three, and arguably the clearest standalone equity upside story.

Is Plaid’s pre-IPO equity worth it?+

Plaid’s equity picture is more nuanced than typical pre-IPO companies. The 2021 peak valuation was $13.4B; today’s $8B represents a ~40% reduction from that peak. However, the February 2026 employee share sale at $8B (up 31% from $6.1B in April 2025) signals improving momentum backed by real transactions, not just internal markings. The company had $390M in revenue in 2024 growing 27% YoY, with $430M ARR projected for 2025. For candidates joining now with RSUs priced at $8B, the upside depends on whether Plaid can sustain growth toward an IPO at $8.5B–$10B or higher. Reports suggest this is plausible; the infrastructure moat (12,000+ bank connections, thousands of fintech clients) makes catastrophic downside unlikely.

Can you negotiate a Plaid salary offer?+

Yes, Plaid offers are negotiable. The RSU equity grant is the primary lever — a larger grant or accelerated vesting schedule can significantly increase total compensation. Competing offers from Stripe, Ramp, or other fintech infrastructure companies provide the strongest negotiating position. Signing bonuses are also available for senior hires and candidates leaving unvested equity. Getting leveled correctly (E4 vs. E5) has the largest impact on total comp — push for the higher level if you have evidence of senior-level impact at your current role. See the [Plaid culture profile](https://jobsbyculture.com/companies/plaid) for more context on the engineering environment.

### See open Plaid roles

Filter by role, seniority, and culture values. Every listing includes company culture context.

[See Plaid Jobs →](https://jobsbyculture.com/jobs?company=plaid) [Plaid Culture Profile →](https://jobsbyculture.com/companies/plaid)

---

## Document: Plaid Remote Work Policy 2026: Hybrid-First with Growing Office Pressure (Real Data)

# Plaid Remote Work Policy 2026: Hybrid-First with Growing Office Pressure (Real Data)

> Is Plaid remote-friendly in 2026? We analyzed all open roles and employee reviews: Plaid is moving toward mandatory hybrid (2–3 days/week) for SF and NYC employees. Here

Source: https://jobsbyculture.com/blog/plaid-remote-work-policy-2026
Markdown: https://jobsbyculture.com/blog/plaid-remote-work-policy-2026.md
Last updated: 2026-07-14

---
If you’re evaluating [Plaid](https://jobsbyculture.com/companies/plaid) as a potential employer and remote work matters to you, the story is more nuanced than it first appears. Plaid has historically been one of the more remote-accommodating fintechs — it published an official “Remote at Plaid” blog post and hired for distributed roles during the pandemic era. But employee reviews from 2024–2026 tell a more complicated story: a quiet tightening of expectations, especially for employees near San Francisco and New York.

The short answer: Plaid is **hybrid-leaning in 2026, not remote-first**. Fully remote teams still exist, but if you live near an office, expect 2–3 days per week in person — and growing pressure toward more. Here’s the full picture.

## Plaid Remote Policy at a Glance

Metric

Detail

Official policy

Hybrid (team-dependent)

Reality

2 days/week in-office for SF & NYC; remote teams still exist

HQ

San Francisco, CA

Other offices

New York City, NY · Salt Lake City, UT

Fully remote roles

Available, but US-only & team-dependent

International remote

Not offered

Trend direction

Tightening — more in-office expected since 2023

Glassdoor rating

4.6 / 5.0 (191 reviews)

Work-life balance

4.2 / 5.0

4.2/5

Plaid’s Glassdoor work-life balance score — one of the highest in fintech

## What “Hybrid” Actually Means at Plaid in 2026

Plaid’s remote work policy is tiered rather than universal. There are two distinct tracks, and which one applies to you depends primarily on your team composition and physical proximity to a Plaid office:

-   **Fully remote team track.** If you join a team that was explicitly structured as remote, you can work from home full-time. These roles typically appear in job listings with “remote” in the location field and are US-only.
-   **Office-hybrid track.** Employees living near San Francisco, New York City, or Salt Lake City are expected to come in around 2 days per week. Employee reviews indicate this expectation has been increasing — there are credible signals of a push toward 3 days in some departments.
-   **No international remote.** Plaid does not offer a work-from-anywhere model outside the US. The company does not operate entities in other countries that would support international remote employees.
-   **Trend is tightening, not loosening.** Multiple reviews from 2024–2025 specifically note the shift: “the days of pure WFH might be limited” for office-proximate employees. Plaid does not appear to be bucking the broader fintech RTO trend.

## Plaid Office Locations in 2026

Plaid operates three offices in the United States. Unlike some fintech peers that have gone fully remote or expanded to dozens of cities, Plaid maintains a focused physical presence:

San Francisco, CA

Headquarters · Where leadership and most engineering is based · Home of the founding team

New York City, NY

Second-largest hub · Business, partnerships, and commercial teams

Salt Lake City, UT

26 S Rio Grande St, Suite 2072 · Engineering and operations teams

San Francisco is clearly the center of gravity. Leadership, product decisions, and most engineering discussions happen there. Salt Lake City has grown as a secondary engineering hub — a meaningful difference from most SF-centric fintechs, which tend to cluster entirely in the Bay Area or New York.

## What Plaid Employees Say About Remote Work

Plaid’s Glassdoor reviews paint a picture of a company that’s genuinely flexible by fintech standards — but where that flexibility is quietly eroding for office-proximate employees.

Pro — Glassdoor review “Hybrid work is a real benefit here — if you’re on a remote team you can be fully remote, otherwise it’s twice a week in office. Very reasonable.”

Con — Glassdoor review “There is slowly a requirement for people based around SF and NYC offices to start coming in more, so the days of pure WFH might be limited.”

Con — Glassdoor review “Remote employees can feel distant from the core team. SF is where the real conversations happen.”

Pro — Glassdoor review “Really positive work culture — people take ownership and the remote-first environment is great for deep work.”

The 4.2/5 work-life balance score is genuinely high for a growth-stage fintech. Plaid isn’t asking for 60-hour weeks. But if you need full remote flexibility, you’re betting on being assigned to a fully remote team — which isn’t guaranteed.

One additional nuance: the Salt Lake City office has developed a distinct culture. SLC engineers report a more relaxed, flexible environment compared to the SF headquarters. If Plaid is appealing to you and geographic flexibility matters, SLC is worth factoring into your evaluation.

## Which Plaid Roles Are Remote-Eligible?

Based on our analysis of current job listings, Plaid’s remote-eligible roles cluster in certain areas:

-   **Engineering.** Senior and staff-level engineering roles are most likely to be listed as remote or location-flexible. Plaid competes for senior engineers nationally and offers remote to access this talent pool.
-   **Data and infrastructure.** Similar to engineering, infrastructure and data roles are sometimes listed without a specific office requirement.
-   **What’s not remote?** Sales, business development, partnerships, design, and most product management roles require proximity to SF or NYC. Operations roles in SLC may be hybrid with local presence expected.

The practical test: check the specific job listing. If it says “Remote” in the location field, you’re on the remote track. If it says “San Francisco” or “New York” with no remote indicator, expect to be on the hybrid track with in-office expectations. See all open roles at [Plaid on JobsByCulture](https://jobsbyculture.com/jobs?company=plaid).

## Plaid vs. Fintech Peers: Remote Work Compared

Plaid sits in the middle of the fintech remote work spectrum. Here’s how it stacks up against its closest competitors and peers:

Company

Remote Policy

Glassdoor

WLB

Best For

[Plaid](https://jobsbyculture.com/companies/plaid)

Hybrid (2 days/wk for office-proximate)

4.6

4.2

Fintech infrastructure, eng culture

Stripe

Hybrid (~50% in-office for office-assigned)

4.1

3.8

Payments infra, scale

Brex

Remote-first, async culture

3.9

3.6

Corporate cards, spend mgmt

Mercury

Fully remote-first, strong async

4.4

4.3

Banking for startups, remote culture

Ramp

Office-first (NYC HQ-centric)

4.5

3.9

Finance automation, fast growth

The clear takeaway: if full remote flexibility is your priority, **Mercury** is the obvious fintech choice — genuinely remote-first with a strong async culture. **Brex** is a strong second. **Plaid** offers real flexibility if you land on a remote team, but it’s not a guarantee. **Stripe** and **Ramp** lean more heavily toward in-person for most roles.

That said, Plaid’s 4.6 Glassdoor overall and 4.2 WLB scores outperform most of these peers. If you’re choosing between in-person fintech jobs, Plaid’s culture is genuinely exceptional. See our full [Plaid compensation guide for 2026](https://jobsbyculture.com/blog/plaid-compensation-2026) for salary and equity benchmarks by role.

### The Bottom Line

Plaid is a genuinely high-quality place to work — 4.6 Glassdoor, transparent leadership, excellent engineering culture. On remote work specifically, it’s better than most fintechs but not the best. If you join a remote team, you can work fully from home. If you’re office-proximate, expect a real hybrid schedule and growing in-person expectations. If full remote is a hard requirement, look at [Mercury](https://jobsbyculture.com/companies/mercury) first. If you want Plaid’s fintech infrastructure mission and can be in SF, NYC, or SLC — it’s an excellent choice.

## Open Positions at Plaid

Plaid is actively hiring across engineering, product, data, and business roles. The majority of engineering positions are in San Francisco and Salt Lake City, with select roles available fully remote in the US. Business and partnerships roles are concentrated in New York and San Francisco.

For the full list of live openings with location and remote filters, visit the [Plaid jobs page on JobsByCulture](https://jobsbyculture.com/jobs?company=plaid) or explore the [Plaid culture profile](https://jobsbyculture.com/companies/plaid) for Glassdoor ratings, employee review themes, and culture values.

## Frequently Asked Questions

Is Plaid remote friendly in 2026?+

Plaid is best described as hybrid-leaning in 2026, not remote-first. Employees hired onto fully remote teams can still work from home, but those based near San Francisco or New York offices are increasingly expected in 2–3 days per week. Multiple employee reviews note that “pure WFH days are likely limited” for office-proximate employees. If you want a fully remote fintech company, [Mercury](https://jobsbyculture.com/companies/mercury) or Brex are stronger options.

What is Plaid's remote work policy in 2026?+

Plaid’s remote work policy in 2026 is tiered: employees on dedicated remote teams can work fully from home, while employees based near a Plaid office (San Francisco, New York, or Salt Lake City) are expected to come in around 2 days per week, with growing pressure toward 3. Plaid has historically marketed itself as remote-friendly and published a “Remote at Plaid” blog post, but employee reviews suggest the policy has tightened since 2023, particularly for SF and NYC-based employees.

Where are Plaid's offices located?+

Plaid has offices in San Francisco, CA (headquarters), New York City, NY, and Salt Lake City, UT (26 S Rio Grande St Suite 2072). The company was founded in San Francisco in 2013 and its leadership team remains primarily SF-based. Salt Lake City has grown as a secondary engineering hub, while New York handles significant business and partnerships functions.

Can you work remotely at Plaid?+

Yes, but it depends on your team and location. Plaid hires for some fully remote roles — particularly in engineering — and employees on those teams can work from home. However, employees living near a Plaid office are expected to come in on a hybrid schedule. Remote roles are US-only. Plaid does not offer a work-from-anywhere international model. The trend in 2024–2026 has been toward more in-office days, not fewer. Check individual job listings for the specific work arrangement. See all current openings at [Plaid jobs](https://jobsbyculture.com/jobs?company=plaid).

What do Plaid employees say about remote work?+

Glassdoor reviews are largely positive about Plaid’s flexibility, but note a shift in 2024–2025. A common pattern: “hybrid work is a benefit — if you’re on a remote team you can be fully remote, otherwise it’s twice a week in office.” A recurring concern: “there is slowly a requirement for people based around SF and NYC offices to start coming in more, so the days of pure WFH might be limited.” Remote employees also report feeling “distant from the core team” in SF.

How does Plaid's remote policy compare to Stripe, Brex, Mercury, and Ramp?+

Among fintech peers, Plaid’s remote policy sits in the middle. Mercury is the most remote-friendly: fully remote-first with a strong async culture. Brex restructured around remote-first and async communication. Stripe is hybrid at roughly 50% office time for office-assigned employees, but actively supports remote teams. Ramp leans office-first from its New York HQ. Plaid is more flexible than Ramp and Stripe but less committed to remote than Mercury or Brex. For a deeper look at Plaid compensation by level, see our [Plaid compensation guide](https://jobsbyculture.com/blog/plaid-compensation-2026).

### Browse Plaid’s open roles

Filter by location and role type. See which positions are remote-eligible.

[See Plaid Jobs →](https://jobsbyculture.com/jobs?company=plaid) [View Plaid Culture Profile →](https://jobsbyculture.com/companies/plaid)

---

## Document: RAG Architecture Guide 2026 — Build Production-Ready Retrieval Systems

# RAG Architecture Guide 2026 — Build Production-Ready Retrieval Systems

> The definitive RAG architecture guide for 2026: chunking strategies, hybrid search, reranking, vector databases, evaluation frameworks, and the patterns that separate prototypes from production systems.

Source: https://jobsbyculture.com/blog/rag-architecture-guide-2026
Markdown: https://jobsbyculture.com/blog/rag-architecture-guide-2026.md
Last updated: 2026-07-14

---
Retrieval-Augmented Generation has become the default architecture for any AI application that needs to work with private or current data. Instead of fine-tuning a model on your corpus — expensive, slow, and hard to update — RAG retrieves relevant documents at query time and passes them to the LLM as context. It’s how enterprise chatbots, knowledge bases, AI assistants, and search products work in 2026.

The concept is simple. The execution is not.

Naive RAG pipelines — the kind you build in a weekend tutorial — fail at retrieval roughly 40% of the time, generating a confident, well-structured answer grounded in the wrong documents. The user gets a plausible-sounding response that’s subtly incorrect, and they have no way to know. In production, that’s worse than no answer at all.

This guide covers what it takes to build RAG systems that actually work. It’s based on production patterns from companies across our [Culture Directory](https://jobsbyculture.com/companies) and the latest research on retrieval architecture.

40%

Naive RAG retrieval failure rate

+9pt

MRR improvement with hybrid search

15-30%

Quality gain from reranking

## The Two Pipelines

Every RAG system has two distinct pipelines that operate at different times. Understanding this separation is fundamental to building systems that scale.

### Offline Pipeline (Indexing)

This runs before any user query. It prepares your knowledge base for retrieval:

1.  **Ingest** — Load source documents (PDFs, web pages, databases, APIs)
2.  **Clean & normalize** — Strip formatting, standardize text, extract metadata
3.  **Chunk** — Split documents into semantically meaningful pieces
4.  **Enrich** — Add contextual summaries, metadata tags, parent-child relationships
5.  **Embed** — Generate vector representations using an embedding model
6.  **Store** — Index embeddings and metadata in a vector database

### Online Pipeline (Retrieval + Generation)

This runs at query time, in real-time:

1.  **Query processing** — Rewrite, expand, or decompose the user’s question
2.  **Retrieve** — Search the vector store + keyword index for relevant chunks
3.  **Rerank** — Score and reorder retrieved chunks by relevance
4.  **Generate** — Pass top-ranked chunks + query to the LLM
5.  **Validate** — Check for hallucination, citation accuracy, and answer completeness

Architecture Principle In 2026, the retrieval step is the critical bottleneck, not generation. LLMs are remarkably good at synthesizing answers from correct context — the hard part is giving them the right context. Spend 80% of your optimization effort on retrieval.

## Chunking: Where Most Pipelines Silently Fail

Chunking is the single most impactful decision in your RAG pipeline, and it’s where most systems go wrong. The goal is to create chunks that are _semantically complete_ — each chunk should be able to answer a question on its own, without needing surrounding context.

### Strategy 1: Recursive Chunking (Start Here)

Split documents by heading hierarchy first, then paragraphs, then sentences. This preserves document structure and keeps related information together. Use 300–500 tokens per chunk with 10–15% overlap.

This is the right default for 80% of use cases. It’s fast, predictable, and works well with most document types.

### Strategy 2: Semantic Chunking (When Recursive Isn’t Enough)

Instead of splitting at fixed boundaries, semantic chunking uses embedding similarity to detect topic shifts. When consecutive sentences start diverging semantically, you split. This produces higher-quality chunks for unstructured text (transcripts, long-form prose, support tickets) but is slower and more complex to implement.

### Strategy 3: Contextual Chunking (The Production Upgrade)

Add a 1–2 sentence contextual summary to each chunk describing what it covers and where it fits in the original document. This dramatically improves retrieval accuracy because the embedding captures both the content and its context. It’s the difference between a chunk that says “The rate is 4.5%” and one that says “This chunk from the Q3 2026 earnings report discusses the company’s current interest rate of 4.5%.”

Common Mistake Don’t start with semantic chunking. Start with recursive chunking at 300-500 tokens. Only upgrade if your RAGAS Context Precision score is below 0.8. Premature optimization of chunking is a huge time sink with diminishing returns.

## Hybrid Search: The Production Default

Pure vector search fails on exact matches. Ask for “invoice INV-2024-0847” and vector search will return chunks about invoicing in general, not the specific document. Pure keyword search (BM25) fails on semantic similarity. Ask “how do I handle employee burnout?” and keyword search won’t find chunks about “work-life balance strategies” or “stress management programs.”

Hybrid search combines both, and it’s the production standard in 2026. The numbers are clear: hybrid search achieves 66.4% MRR compared to 56.7% for semantic-only — a 9+ point improvement that directly translates to better answers.

### How hybrid search works:

1.  Run a BM25 keyword search and a dense vector search in parallel
2.  Combine results using Reciprocal Rank Fusion (RRF) — documents that rank highly in both searches get boosted
3.  Retrieve the top 20–50 results from the fused ranking

Most modern vector databases support hybrid search natively: Pinecone, Qdrant, Weaviate, and Milvus all have built-in BM25 + dense search with RRF. If you’re using pgvector, you can implement BM25 via PostgreSQL’s full-text search alongside vector similarity.

## Reranking: The 15-30% Quality Boost

After hybrid search returns your top candidates, reranking scores each result with a more powerful (and slower) cross-encoder model. The typical pipeline: retrieve top-50 with hybrid search, rerank to top-5, then pass to the LLM. This consistently improves answer quality by 15–30% on standard RAG benchmarks.

Why does this work? Embedding-based retrieval uses bi-encoders — the query and document are encoded independently. This is fast but loses nuance. Cross-encoder rerankers process the query and document together, capturing interaction patterns that bi-encoders miss.

### Reranking options in 2026:

Cohere Rerank v3

Best overall quality. Managed API, easy integration. ~50ms per batch.

Jina Reranker v2

Open-source, self-hostable. Strong performance at lower cost.

BGE Reranker

Open-source, good for prototyping. Quality trails Cohere by ~5%.

LLM-based reranking

Use the LLM itself to score relevance. Highest quality, highest cost and latency.

## Vector Database Selection

The vector database is your retrieval engine. Choosing the right one depends on your deployment model, scale requirements, and existing infrastructure — not synthetic benchmarks.

Managed Pinecone

Easiest to get started. Built-in hybrid search, automatic scaling, serverless pricing. Best for teams that want to focus on the application layer without managing infrastructure. Limitations: less control over indexing, vendor lock-in, costs scale with usage.

Self-hosted Qdrant

6ms p50 latency with hybrid search that boosts recall by 17%. Written in Rust, excellent performance characteristics. Strong choice for teams that need control over their infrastructure and can manage deployments. Available as managed cloud or self-hosted.

PostgreSQL pgvector

If you already run PostgreSQL, pgvector avoids adding new infrastructure. Combine vector similarity with SQL joins, transactions, and existing access controls. Performance is adequate for most use cases (sub-100ms at millions of vectors with HNSW indexing). Best for teams where operational simplicity matters more than raw speed.

Prototyping Chroma

Lightweight, embedded, Python-native. Perfect for development, testing, and small-scale applications. Runs in-process with zero configuration. Not recommended for production at scale, but unbeatable for iteration speed during development.

## Advanced Patterns: Beyond Basic RAG

Once your basic pipeline is solid (hybrid search + reranking + good chunking), these patterns address specific failure modes:

### Adaptive RAG

A query classifier routes each query to the appropriate pipeline based on complexity. Simple factual questions go through fast, lightweight retrieval. Complex multi-hop questions trigger agentic RAG with query decomposition and iterative retrieval. This delivers the optimal cost-quality tradeoff — you’re not paying for heavy computation on easy questions.

### Agentic RAG

Instead of a single retrieve-then-generate pass, an AI agent iteratively retrieves, evaluates, and refines its search strategy. If the first retrieval doesn’t contain the answer, the agent reformulates the query and tries again. Worth the extra cost for complex, multi-hop questions or when accuracy is non-negotiable (legal, medical, financial).

### Graph-Augmented RAG

Supplements vector retrieval with a knowledge graph that captures entity relationships. When a user asks about how two concepts relate, the graph provides structural context that vector search alone would miss. Especially powerful for enterprise knowledge bases with complex interconnected information.

### Find AI Engineering Roles

RAG architecture is the most in-demand AI skill in 2026. Find roles where you’ll build real systems.

[Browse AI Jobs →](https://jobsbyculture.com/jobs?role=ml-ai) [AI Skills Hub →](https://jobsbyculture.com/ai)

## Evaluation: How to Know If Your RAG Works

You can’t improve what you can’t measure. The RAGAS framework provides four metrics that cover the full RAG pipeline:

Faithfulness

Target: \>0.9 — Does the answer stick to the retrieved context? Measures hallucination.

Answer Relevancy

Target: \>0.85 — Does the answer actually address the question?

Context Precision

Target: \>0.8 — Are the retrieved chunks relevant? Measures retrieval quality.

Context Recall

Target: \>0.8 — Are all necessary facts retrieved? Measures completeness.

Build a golden dataset of 50–100 question-answer pairs covering your key use cases. Run evaluations after every pipeline change. For continuous monitoring in production, use LLM-as-judge pipelines — a separate LLM evaluates each response for faithfulness and relevance, flagging low-scoring answers for human review.

Production Tip If your Faithfulness score drops below 0.9, fix retrieval before touching generation. In nearly every case, hallucination is caused by retrieving the wrong context, not by the LLM making things up from nothing.

## The Production Stack in 2026

Here’s the reference architecture that represents current best practices:

Python LangChain or LlamaIndex Qdrant or Pinecone Cohere Rerank v3 OpenAI / Anthropic API RAGAS Evaluation LangSmith or W&B

**Orchestration:** LangChain for agent-heavy applications with complex tool use. LlamaIndex for document-centric RAG where retrieval quality is the priority. Both are mature, well-documented, and widely used in production.

**Embedding models:** OpenAI’s `text-embedding-3-large` for highest quality. `text-embedding-3-small` for cost-sensitive applications. Open-source alternatives from HuggingFace (BGE, E5) for self-hosted deployments.

**Observability:** LangSmith for LangChain-native tracing. Weights & Biases for experiment tracking and evaluation. Both let you debug retrieval failures by inspecting what was retrieved, what was passed to the LLM, and what was generated.

## Common Failure Modes & Fixes

-   **Wrong documents retrieved:** Check chunking. If chunks are too large, they contain irrelevant context that dilutes the embedding. If too small, they lack enough context to match queries. Adjust chunk size and add contextual summaries.
-   **Right documents, wrong answer:** Check your prompt. Ensure you’re instructing the LLM to cite specific passages and only answer from the provided context. Add a “I don’t know” clause for insufficient context.
-   **Exact-match failures:** Enable hybrid search. Pure vector search will never reliably match product codes, names, or specific identifiers.
-   **Multi-hop questions fail:** Consider agentic RAG or query decomposition. Complex questions often need multiple retrieval passes with different queries.
-   **Stale answers:** Check your indexing pipeline frequency. If documents change daily, your offline pipeline should run at least daily. Monitor embedding freshness as a metric.

## Frequently Asked Questions

What is RAG and why does it matter? +

RAG (Retrieval-Augmented Generation) makes LLMs useful with private or current data by retrieving relevant documents at query time and passing them as context. Instead of fine-tuning, RAG grounds responses in your actual data. It’s the default architecture for enterprise AI applications in 2026 — virtually every chatbot, knowledge base, or AI assistant uses it.

What is the best chunking strategy? +

Start with recursive chunking at 300-500 tokens with 10-15% overlap. This works for 80% of use cases. Each chunk should be semantically complete — able to answer a question on its own. Only upgrade to semantic chunking if quality metrics indicate retrieval failures. Adding contextual summaries to each chunk is the highest-impact improvement for most pipelines.

How does hybrid search improve RAG? +

Hybrid search combines keyword (BM25) and semantic (vector) search, handling both literal and conceptual matching. It achieves 66.4% MRR vs. 56.7% for semantic-only — a 9+ point improvement. Pure vector search fails on exact matches; pure keyword search misses semantic similarity. Hybrid search is the production standard in 2026.

Which vector database should I use? +

Pinecone for managed/hosted with the easiest setup. Qdrant for self-hosted with 6ms latency and 17% recall boost. pgvector if you already use PostgreSQL. Chroma for prototyping. Pick based on your deployment model and existing infrastructure, not synthetic benchmarks.

How do I evaluate a RAG system? +

Use the RAGAS framework: Faithfulness (>0.9), Answer Relevancy (>0.85), Context Precision (>0.8), and Context Recall (>0.8). Build a golden dataset of 50-100 Q&A pairs. Run evaluations after every pipeline change. Use LLM-as-judge pipelines for continuous production monitoring.

What skills do I need to build production RAG? +

Core: Python, LLM APIs, embedding models, vector databases, document processing. Production-level: hybrid search, reranking, evaluation frameworks (RAGAS), observability, chunking optimization, cloud deployment. See our [AI engineer roadmap](https://jobsbyculture.com/blog/how-to-become-ai-engineer-2026) for the complete learning path.

---

## Document: Ramp Compensation 2026: $218K–$858K Engineer Salary by Level

# Ramp Compensation 2026: $218K–$858K Engineer Salary by Level

> Ramp engineer compensation in 2026: $218K new grad to $858K+ staff engineer total comp. Breakdown by level, equity structure, benefits, and how Ramp

Source: https://jobsbyculture.com/blog/ramp-compensation-2026
Markdown: https://jobsbyculture.com/blog/ramp-compensation-2026.md
Last updated: 2026-07-14

---
[Ramp](https://jobsbyculture.com/companies/ramp) has become the defining fintech success story of the 2020s. Founded in 2019 by Eric Glyman and Karim Atiyeh, the corporate card and spend management platform reached $1 billion in annual revenue in 2025 — doubling year-over-year — and hit a $32 billion valuation. As of May 2026, the company is in talks to raise at $40 billion or higher. With approximately 1,000+ employees across NYC, San Francisco, and Miami, Ramp is hiring aggressively for engineers who can sustain that velocity.

What makes Ramp particularly interesting from a compensation perspective is the combination of top-of-market cash, meaningful pre-IPO equity at a company with clear revenue traction, and the intensity that justifies both. Engineers at Ramp rate the company 4.7/5 on employee satisfaction — but work-life balance sits at 3.5/5. You’re paid exceptionally well because the expectations are exceptional.

This guide breaks down exactly what Ramp pays at each engineering level, how the equity works, and whether the total package justifies the intensity.

$510K

Median Engineer Comp

$32B

Current Valuation

$1B

Annual Revenue

## Compensation by Level

Ramp’s engineering ladder mirrors the standard Silicon Valley structure. Here’s what each level earns in total compensation (base + equity + bonus) based on verified employee-reported data:

Level

Title

Total Comp

New Grad

Software Engineer I

$218K

Mid-Level

Software Engineer II

$282K

Senior

Senior Software Engineer

$436K

Staff

Staff Software Engineer

$858K

The jump from Senior to Staff is dramatic — nearly 2x. This reflects Ramp’s philosophy of concentrating equity grants at the Staff level, where engineers are expected to own entire product surfaces and drive architectural decisions that directly affect revenue. At the Staff level, equity often makes up 50–60% of total compensation.

### Geographic breakdown

Location matters at Ramp. The company has offices in New York City, San Francisco, and Miami, with different compensation bands for each:

-   **San Francisco Bay Area:** $341K (mid) to $703K (staff) — highest base and equity
-   **New York City:** $213K (new grad) to $535K (staff) — most common engineering location
-   **Miami:** Slightly below NYC bands, but growing rapidly

The 25th-to-90th percentile range across all US engineers is $220K to $514K, meaning the median engineer at Ramp out-earns the top quartile at most companies.

## How Equity Works at Ramp

Equity is where Ramp compensation gets interesting — and where the risk/reward calculation matters most.

#### Key equity facts for Ramp offers in 2026

Ramp grants either stock options or RSUs, vesting over 4 years. RSUs typically don’t fully vest until a liquidity event (IPO or acquisition). The company provides regular stock refreshers for retention. Current strike price reflects the ~$32B valuation, with talks of $40B+ imminent.

The equity math is straightforward but worth understanding. If you receive RSUs struck at the $32B valuation and Ramp goes public at $60B (reasonable given the revenue trajectory), your equity doubles. If the company hits $100B over the next 3–5 years — not impossible for a company growing 100% year-over-year with $1B revenue — your equity triples. That upside is meaningful even at Senior level grants.

The risk: RSUs at a private company are illiquid. You can’t sell them until an IPO or secondary sale. If Ramp’s valuation compresses (as happened to many fintech companies in 2022–23), your paper value shrinks. However, Ramp’s revenue growth and profitability trajectory make this less likely than for typical pre-IPO companies.

Ramp also provides **annual stock refreshers** — additional equity grants for high performers that layer on top of your original grant. These are a meaningful retention tool and can significantly increase total comp in years 3–4.

## How Ramp Compares to Peer Companies

Ramp pays at the very top of the fintech market and competes with FAANG for senior talent. Here’s how the numbers stack up:

Company

Senior Eng

Staff Eng

[Ramp](https://jobsbyculture.com/companies/ramp)

$436K

$858K

[Stripe](https://jobsbyculture.com/companies/stripe)

$350K

$450K

[Plaid](https://jobsbyculture.com/companies/plaid)

$380K

$500K

[Coinbase](https://jobsbyculture.com/companies/coinbase)

$400K

$550K

[Anthropic](https://jobsbyculture.com/companies/anthropic)

$400K

$600K

Ramp’s Staff engineer comp is notably higher than peers. This reflects two things: (1) Staff engineers at Ramp carry enormous scope — they own revenue-generating product surfaces end-to-end, and (2) Ramp’s equity grants are calibrated to attract talent from companies with public stock. The company knows it’s competing against liquid FAANG RSUs, so it compensates with larger grants at higher levels.

At the Senior level, Ramp is competitive but not an outlier. The real differentiator is the equity upside: Stripe is already valued at $91B with slower growth, while Ramp at $32B→$40B is on a steeper trajectory. A Senior engineer joining Ramp today has more upside than a Senior engineer joining a post-IPO Stripe.

## Benefits Package

Beyond cash and equity, Ramp offers one of the strongest benefits packages in fintech:

-   **16 weeks maternity leave** — one of the most generous in the industry
-   **IVF coverage** — full fertility benefits
-   **Free daily lunch** in all offices
-   **Competitive 401(k) matching**
-   **Premium health insurance** (medical, dental, vision)
-   **Generous PTO** with no accrual ceiling
-   **Learning & development stipend** for conferences, courses, books
-   **Home office equipment budget**
-   **Performance bonuses** of 10–20% on top of base

Employee Pro “Outstanding compensation and benefits — 16 weeks maternity, IVF coverage, free lunch. Exceptional talent and product-driven culture. Software engineers rate 4.7/5.”

## The Intensity Trade-Off

Ramp pays this well because it expects a lot. The work-life balance score of 3.5/5 and employee reviews consistently mention 60+ hour weeks and 10–12 hour days. This isn’t a company where you coast — it’s a company where shipping velocity is a core value.

CEO Eric Glyman has described Ramp’s culture as “the fastest-moving company in fintech.” Engineers are expected to ship features weekly, own production systems, and operate with high autonomy. The 88% CEO approval rating and 82% recommendation rate suggest most employees feel the trade-off is worth it — but it’s a trade-off, not a free lunch (the actual lunch is free though).

Employee Con “Intense work demands — 60+ hour weeks and 10–12 hour days are common. Shifting to in-office preference, with new hires expected 3+ days/week in NYC, SF, or Miami.”

If you’re optimizing purely for comp-per-hour-worked, Ramp might not be the best choice. But if you’re optimizing for career velocity, equity upside, and working alongside exceptional talent at a company that’s clearly winning its market, few places offer a better package.

## Should You Take a Ramp Offer?

The decision framework is straightforward:

-   **Take it if:** You want top-of-market cash + meaningful pre-IPO equity at a company with $1B revenue and 100% growth. You thrive in intense environments. You want to ship fast with exceptional peers. You’re comfortable with 3+ days in-office.
-   **Pass if:** Work-life balance is your top priority. You need fully remote flexibility. You prefer mature, slower-paced organizations. You want liquid equity immediately (wait for the IPO and join after).

For engineers who want both high compensation and a culture of [shipping fast](https://jobsbyculture.com/values/ship-fast), Ramp is one of the strongest offers available in 2026. The equity is pre-IPO but at a company growing faster than almost any private fintech company ever has. That combination — top cash, significant equity upside, genuine product impact, and a trajectory toward $40B+ — is rare.

## Frequently Asked Questions

What is the average software engineer salary at Ramp in 2026?+

The median total compensation for software engineers at Ramp is approximately $510K per year. This includes base salary, equity (stock options or RSUs), and performance bonuses. Compensation ranges from $218K for new grad engineers to $858K+ for staff engineers, with significant variation by level and location. See our [AI engineer salary guide](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026) for broader market context.

How much equity do Ramp engineers get?+

Ramp engineers receive stock options or RSUs vesting over 4 years. At the current $32B valuation (with active discussions at $40B+), equity grants are substantial — particularly at Staff level where equity can comprise 50–60% of total compensation. The company also provides annual stock refreshers for high performers. RSUs don’t fully vest until a liquidity event (IPO or acquisition).

How does Ramp compensation compare to Stripe?+

Ramp generally pays higher than [Stripe](https://jobsbyculture.com/companies/stripe) at equivalent levels. At Senior level, Ramp offers ~$436K vs Stripe's ~$350K. At Staff, the gap widens: Ramp ~$858K vs Stripe ~$450K. However, Stripe equity is more liquid (secondary markets exist, potential IPO closer), while Ramp offers higher upside at a company with faster growth (100% YoY vs Stripe’s more moderate trajectory).

What is Ramp's current valuation?+

Ramp is valued at $32 billion as of November 2025, following a $312M raise led by Lightspeed. As of May 2026, the company is in active talks to raise another $750M at a $40B+ valuation. Ramp reached $1 billion in annual revenue (doubling year-over-year) and has raised $2.44B total across 14 funding rounds.

What benefits does Ramp offer?+

Ramp offers 16 weeks maternity leave, IVF/fertility coverage, free daily lunch, competitive 401(k) matching, premium health insurance, generous PTO, L&D stipend, and home office equipment budget. Performance bonuses of 10–20% are standard. The benefits package is consistently highlighted as a top pro in employee reviews.

Is Ramp remote-friendly?+

No. Ramp has shifted toward in-office work, with new hires expected to be in-office 3+ days per week at NYC, SF, or Miami offices. Some existing employees maintain hybrid arrangements, but the trend is toward more in-person collaboration. If fully remote is a requirement, consider companies like [GitLab](https://jobsbyculture.com/companies/gitlab) or [PostHog](https://jobsbyculture.com/companies/posthog) instead.

### Explore Ramp’s open roles

See current engineering positions at Ramp with culture context, ratings, and compensation data.

[View Ramp Profile →](https://jobsbyculture.com/companies/ramp) [Browse Ramp Jobs →](https://jobsbyculture.com/jobs?company=ramp)

---

## Document: Ramp Glassdoor Reviews Decoded 2026: What 176 Employees Really Say | JobsByCulture

# Ramp Glassdoor Reviews Decoded 2026: What 176 Employees Really Say | JobsByCulture

> Ramp

Source: https://jobsbyculture.com/blog/ramp-glassdoor-reviews-2026
Markdown: https://jobsbyculture.com/blog/ramp-glassdoor-reviews-2026.md
Last updated: 2026-07-14

---
Ramp is the New York fintech behind one of the fastest-growing corporate-card and spend-management platforms — a company that has scaled to 1,000+ employees while keeping an intense, product-driven engineering culture.

Ramp is one of the highest-rated fintech employers we track: a 4.2 overall on Glassdoor across 176 reviews, with a 97% CEO approval rating for Eric Glyman — exceptional by any standard. But the reviews tell a deliberately two-sided story. The same culture that produces elite engineering and outsized career growth also asks for genuinely long hours. Understanding that trade-off is the whole point of reading past the star rating.

Below is the full breakdown, cross-referenced against our [Ramp culture profile](https://jobsbyculture.com/companies/ramp). Every figure here was checked against Glassdoor's own page this cycle — we don't recycle stale numbers, and we don't invent sub-scores that aren't published.

## The Numbers at a Glance

4.2 / 5.0

Overall Glassdoor Rating — 176 Reviews

Glassdoor surfaces Ramp's sub-scores by role rather than as a single company aggregate. Software Engineers rate Ramp around 4.7–4.8 (with culture, career and compensation all in the high-4s), while Sales Development Reps land closer to 4.3 — so we report the verified company-wide figures below rather than estimate a blended sub-score.

Metric

Detail

Overall Rating

4.2 / 5.0

Total Reviews

176

Recommend to a Friend

78%

CEO Approval (Eric Glyman)

97%

## How to Read Ramp's 4.2 Rating

A single number hides as much as it reveals. Ramp's 4.2 puts it near the top of the AI/tech companies we track. Across the companies we've verified directly on Glassdoor this cycle, it sits at the top of that set. The more useful signal is the _shape_ of the scores. We re-verify every figure against Glassdoor's own page rather than recycling cached numbers, because review-based ratings drift as volume grows.

## What Employees Love (The Pros)

The positive themes across Ramp's reviews are consistent. Here's what comes up most often.

### 1\. Elite talent and a high engineering bar

What employees value Elite talent and a high engineering bar

Engineers in particular rate Ramp extraordinarily highly — the software-engineering segment sits around 4.7–4.8 on Glassdoor. Reviewers repeatedly cite the caliber of their peers, a demanding hiring bar, and the kind of end-to-end ownership that's hard to find at larger fintechs. For strong ICs, the talent density is the headline reason to join.

### 2\. Outstanding compensation and benefits

What employees value Outstanding compensation and benefits

Compensation is a consistent positive. Beyond competitive cash and equity, reviewers single out the benefits package — 16 weeks of parental leave, IVF/fertility coverage, and perks like free lunch. It's one of the more generous total-comp stories among fintechs of this size.

### 3\. Hyper-growth and a real career trajectory

What employees value Hyper-growth and a real career trajectory

Ramp's growth means scope expands fast. Reviewers mention quick promotions, broadening responsibility, and the résumé value of being at a breakout fintech. Career opportunities rank among the strongest sub-dimensions across roles.

### 4\. Leadership employees actually believe in

What employees value Leadership employees actually believe in

A 97% approval rating for CEO Eric Glyman is rare air — most employees, including those who flag the workload, say they trust the direction and the bet. That confidence in leadership is a recurring theme in the positive reviews.

### 5\. Genuine product impact and ownership

What employees value Genuine product impact and ownership

It's a product-driven culture where engineers ship to real customers quickly and see the results. Reviewers describe tight feedback loops and a sense that individual work moves the business — not a layer of abstraction between you and the user.

## What Employees Warn About (The Cons)

No workplace is perfect. These are the recurring criticisms in Ramp's reviews — the things worth pressure-testing in your interview.

### 1\. Long hours are the recurring warning

What employees flag Long hours are the recurring warning

The single most common criticism is workload intensity. Multiple reviews describe 60+ hour weeks and 10–12 hour days during crunch periods — one widely-read review was titled around the personal toll it took. The 78% recommend rate (good, not stellar) reflects this trade-off honestly.

### 2\. A shift back toward the office

What employees flag A shift back toward the office

Ramp has moved toward in-office work — new hires are generally expected on-site three or more days a week in NYC, San Francisco, or Miami. If you're optimizing for fully-remote flexibility, this is a real constraint to confirm for your specific role.

### 3\. Pace can outrun process

What employees flag Pace can outrun process

Hyper-growth has a cost: some reviewers note that structure, onboarding, and work-life boundaries lag behind headcount. It's a familiar pattern for a company scaling this fast, but worth weighing if you value predictability.

## What About Compensation?

Compensation is one of the dimensions candidates ask about most for Ramp. For the full numbers — base, equity, and how packages compare to peers — see our [Ramp compensation breakdown](https://jobsbyculture.com/blog/ramp-compensation-2026) and our full [guide to working at Ramp](https://jobsbyculture.com/blog/working-at-ramp-2026).

## How Ramp Compares

Here's Ramp against the other companies we've verified directly on Glassdoor this cycle. Ratings move as review volume grows, so treat this as a snapshot, not a permanent ranking.

Company

Glassdoor Rating

Ramp (this page)

4.2 / 5.0

[Glean](https://jobsbyculture.com/companies/glean)

3.8 / 5.0

[Scale](https://jobsbyculture.com/companies/scale)

3.6 / 5.0

[Cohere](https://jobsbyculture.com/companies/cohere)

3.0 / 5.0

For the full landscape, browse our [culture directory of 118 companies](https://jobsbyculture.com/companies) or [compare any two cultures side by side](https://jobsbyculture.com/compare).

## Who Should (and Shouldn't) Apply

**A strong fit:** Ramp is a strong fit if you want elite peers, fast career growth, generous comp, and high ownership — and you're clear-eyed about the intensity and the in-office expectation. The 4.2 rating and 97% CEO approval are genuinely excellent; the long-hours feedback is equally genuine.

**Think twice if:** If protected work-life balance or fully-remote flexibility is your top non-negotiable, weigh the long-hours and return-to-office feedback carefully before signing — this is a deliberately high-intensity environment.

## Questions to Ask in Your Ramp Interview

The cons above aren't reasons to walk away — they're reasons to ask sharper questions. Use these to pressure-test whether the trade-offs apply to the specific team you'd join:

-   What does a typical week look like in terms of hours for this team — and what happens during launch crunches?
-   What are the in-office expectations for my role and location, and how firm are they?
-   How is on-call or after-hours work structured, and how is it compensated or offset?

## Frequently Asked Questions

What is Ramp's Glassdoor rating in 2026?+

Ramp has a 4.2 out of 5.0 Glassdoor rating based on 176 employee reviews, and 78% of employees recommend working there. See our full [Ramp culture profile](https://jobsbyculture.com/companies/ramp).

Is Ramp a good place to work?+

Ramp is a strong fit if you want elite peers, fast career growth, generous comp, and high ownership — and you're clear-eyed about the intensity and the in-office expectation. The 4.2 rating and 97% CEO approval are genuinely excellent; the long-hours feedback is equally genuine. If protected work-life balance or fully-remote flexibility is your top non-negotiable, weigh the long-hours and return-to-office feedback carefully before signing — this is a deliberately high-intensity environment.

How much does Ramp pay?+

For a full breakdown of base salary, equity, and total compensation at Ramp, see our [Ramp compensation guide](https://jobsbyculture.com/blog/ramp-compensation-2026).

How does Ramp compare to other AI companies?+

Compare Ramp against 118 companies in our [culture directory](https://jobsbyculture.com/companies), or run a side-by-side in our [culture comparison tool](https://jobsbyculture.com/compare).

### Explore Ramp on JobsByCulture

Browse open roles and dig into the full culture profile, ratings, and values.

[See Ramp Culture Profile →](https://jobsbyculture.com/companies/ramp) [Browse Ramp Jobs →](https://jobsbyculture.com/jobs?company=ramp)

### Browse 14,000+ AI & Tech Jobs

Find your next role at Ramp or any of the 118 companies in our culture directory.

[Browse All Jobs →](https://jobsbyculture.com/jobs) [Explore Culture Directory →](https://jobsbyculture.com/companies)

---

## Document: Reddit Compensation 2026: $278k–$874k+ Total Comp by Level (IC1–IC6)

# Reddit Compensation 2026: $278k–$874k+ Total Comp by Level (IC1–IC6)

> Reddit engineer compensation in 2026: IC3 earns $278k, IC4 $437k, IC5 $662k, IC6 $874k+. Full breakdown of base salary, RDDT RSUs, bonus, and how post-IPO stock performance affects total comp.

Source: https://jobsbyculture.com/blog/reddit-compensation-2026
Markdown: https://jobsbyculture.com/blog/reddit-compensation-2026.md
Last updated: 2026-07-14

---
Reddit went public in March 2024 at $34 per share. By late 2024, the stock had nearly 10x'd. In early 2026, it's trading around $157 after pulling back from highs above $300. For current and prospective Reddit engineers, this stock price trajectory isn't just financial news — it's the single biggest variable determining whether your compensation package is life-changing or merely competitive.

We analyzed verified employee-reported compensation data across all six of Reddit's engineering levels to give you the complete picture of what the "front page of the internet" actually pays in 2026 — and how to think about the equity component when you're evaluating an offer.

## Reddit Compensation Overview

$437k

IC4 Median Total Comp

$662k

IC5 Median Total Comp

$874k

IC6 Median Total Comp

Reddit uses a standard IC1–IC6 leveling system for individual contributors. The compensation structure includes three components: base salary, RDDT RSUs (Restricted Stock Units), and an annual bonus. At junior levels, base salary dominates. At IC4 and above, equity becomes the largest component — and the most volatile.

## Compensation by Level: The Full Breakdown

Level

Title

Base

RSUs/yr

Bonus

Total Comp

IC1

SWE I

$130k

$15k

$2.5k

**$148k**

IC2

SWE II

$145k

$4k

$2.5k

**$151k**

IC3

Senior SWE

$195k

$80k

$3.5k

**$279k**

IC4

Staff SWE

$253k

$182k

$2.5k

**$437k**

IC5

Sr. Staff SWE

$307k

$349k

$6k

**$662k**

IC6

Principal SWE

$334k

$530k

$10k

**$874k**

The jump from IC2 to IC3 is dramatic — total comp nearly doubles from $151k to $279k. This reflects Reddit's decision to front-load meaningful equity at the senior level and above. Below IC3, Reddit's comp is modest for Bay Area standards. At IC3+, it becomes genuinely competitive with FAANG.

## How RDDT Stock Affects Your Real Compensation

Reddit grants RSUs denominated in dollars at the time of hire, then converted to shares based on the stock price. The standard vesting schedule is 4 years with quarterly vesting after an initial cliff. This means your actual realized compensation depends heavily on what RDDT is trading at when your shares vest.

Let's make this concrete. Suppose you're offered $182k/year in RSUs at IC4:

-   **If RDDT is at $157 (current):** You receive ~1,159 shares/year, worth $182k at grant value
-   **If RDDT rises to $250:** Those same shares are now worth ~$290k/year — your total comp jumps to $545k
-   **If RDDT drops to $100:** Your shares are worth ~$116k/year — your total comp falls to $372k

This volatility is the defining feature of Reddit compensation in 2026. The company IPO'd at $34, hit $300+, and now trades around $157. Employees who joined pre-IPO or during the initial post-IPO pop have seen extraordinary returns. Those who joined when the stock was above $200 are currently underwater on their grant values.

Key Insight "Reddit's Q1 2026 showed 69% YoY revenue growth to $663M with 40% EBITDA margin — strong fundamentals that support the stock long-term, even if short-term volatility creates paper losses"

## How Reddit Compares to Peer Companies

At the IC4 (Staff) level, here's how Reddit stacks up against companies you'd likely compare offers from:

Company

IC4 Total Comp

Stock Type

Notes

Reddit

**$437k**

RDDT (public)

Strong revenue growth, volatile stock

[Stripe](https://jobsbyculture.com/companies/stripe)

$380–450k

Private RSUs

More stable, less liquid

[Databricks](https://jobsbyculture.com/companies/databricks)

$420–500k

Private RSUs

Pre-IPO upside potential

[Coinbase](https://jobsbyculture.com/companies/coinbase)

$400–480k

COIN (public)

Crypto-correlated volatility

[Airbnb](https://jobsbyculture.com/companies/airbnb)

$420–470k

ABNB (public)

Stable large-cap

Reddit's IC4 comp of $437k is competitive with most of these peers. The key differentiator is liquidity — unlike [Stripe](https://jobsbyculture.com/companies/stripe) and [Databricks](https://jobsbyculture.com/companies/databricks) (both private), Reddit RSUs can be sold on the open market as soon as they vest. That liquidity premium matters: you can diversify immediately rather than waiting years for a potential IPO or secondary sale.

At IC5 ($662k) and IC6 ($874k), Reddit enters the rarefied air typically reserved for FAANG. These numbers rival Google, Meta, and Apple at equivalent seniority levels. The catch: there are very few IC5 and IC6 engineers at Reddit compared to those companies.

## Benefits Beyond Cash and Equity

Reddit's benefits package rounds out the compensation picture:

-   **Flexible time off** (unlimited PTO with no formal tracking)
-   **Extended parental leave** — up to 20 weeks for primary caregivers
-   **Comprehensive health insurance** — medical, dental, vision with low deductibles
-   **401(k) matching**
-   **Volunteer time off** — paid days for community service
-   **Learning & development budget**
-   **Remote-friendly** — offices in SF, NYC, and other locations, but most roles can be done remotely
-   **Commuter benefits** for those who do go to an office

The Glassdoor compensation & benefits sub-score of 4.1/5 confirms that employees view the total package favorably. This is Reddit's strongest rating category — significantly above their overall 3.8 and WLB (3.5).

## Negotiation Strategy

Reddit is known to negotiate, particularly on equity. Based on our research across dozens of successful negotiations, here's what works:

### What's negotiable

-   **RSU grant size** — this is your biggest lever. Reddit will move 10-30% on equity with a competing offer.
-   **Signing bonus** — particularly effective if you're leaving unvested equity elsewhere. Reddit will offer one-time cash to offset what you're walking away from.
-   **Level** — the single highest-impact negotiation. Moving from IC3 to IC4 is worth $158k/year in median total comp. If you have the experience, push for the higher level.

### What's less negotiable

-   **Base salary** — bands are relatively fixed within a level. You might get $5-10k movement, but the bands have hard ceilings.
-   **Bonus target** — Reddit's bonuses are small relative to total comp and not individually negotiable.

### Strongest negotiation plays

-   A competing offer from Meta, Google, or another public tech company at equivalent or higher total comp
-   Significant unvested equity at your current company that you'd be leaving behind
-   Framing the ask around equity rather than base — it signals you're aligned with Reddit's long-term success

## The IPO Effect: What To Know

Reddit's March 2024 IPO at $34/share created massive wealth for pre-IPO employees. Many early engineers held RSUs granted when the company was valued at $10-15B — with the current market cap around $28B, those grants appreciated significantly. But the story for post-IPO hires is more nuanced.

If you joined when RDDT was trading at $250-300 (its 2025 peak), your RSUs were priced at those levels. With the stock now around $157, you're technically "underwater" on paper — your shares vest at a value below what they were granted at. This doesn't mean you've lost money (you haven't paid for the shares), but it means your total comp is lower than what was quoted in your offer letter.

The fundamental question: is RDDT undervalued at $157? The company posted $663M revenue in Q1 2026 (69% YoY growth) with 40% EBITDA margins and record cash flow. For a social platform with 100M+ daily active users and an AI data licensing business (they license Reddit data to AI companies for training), the growth trajectory is strong. Whether that justifies the current price — or supports a return to $300 — depends on your view of social platform monetization and the value of Reddit's unique data moat.

### Explore Reddit Jobs

See open engineering roles at Reddit and find your culture fit.

[Browse Reddit Jobs →](https://jobsbyculture.com/jobs?company=reddit) [View Culture Profile →](https://jobsbyculture.com/companies/reddit)

## Should You Take a Reddit Offer?

Reddit's compensation is genuinely competitive at IC3+ — particularly for a company that gives you both liquidity (public stock) and meaningful product impact (shipping to hundreds of millions of users). The comp places it clearly in the "strong equity" category among the [companies in our directory](https://jobsbyculture.com/companies).

The calculus depends on your level and stock conviction:

-   **IC1-IC2:** Reddit's comp is unremarkable. You're joining for the brand, the product exposure, and the career trajectory to IC3+ where comp jumps dramatically. If maximizing early-career earnings is your priority, a startup with a stronger base might be better.
-   **IC3:** At $279k total, you're competitive with most mid-size tech companies but below FAANG. The value proposition is the path to IC4 ($437k) and genuine product impact.
-   **IC4-IC6:** This is where Reddit shines. $437k-$874k with liquid public equity, massive user-facing impact, and a company with strong revenue growth. If you believe RDDT has upside from $157, these packages become exceptional.

The culture trade-offs are documented in our [Reddit culture profile](https://jobsbyculture.com/companies/reddit): shifting strategies, inconsistent management (3.2/5 for senior leadership), and a 54% recommend rate. You're paid well partly as compensation for organizational turbulence. Make sure you're comfortable with that exchange before signing.

## Frequently Asked Questions

What is the average Reddit engineer salary in 2026? +

The median total compensation for a Reddit [software engineer](https://jobsbyculture.com/jobs-at/reddit/software-engineer) varies by level: IC3 (mid-level) earns approximately $279k, IC4 (staff) $437k, IC5 (senior staff) $662k, and IC6 (principal) $874k. These figures include base salary, RDDT RSUs, and annual bonus.

How much equity does Reddit give engineers? +

Reddit grants RSUs in RDDT stock that vest over 4 years with quarterly vesting. At IC4, the median annual stock grant value is approximately $182k. At IC5, it's around $349k. At IC6, stock grants can exceed $530k annually. RSU values fluctuate with the RDDT stock price.

How does Reddit compensation compare to FAANG? +

Reddit's IC4 total comp ($437k) is competitive with Meta ($400-470k) and slightly below Google ($450-520k). At IC5+ ($662k), Reddit enters FAANG territory. The main advantage over private companies is liquidity — RDDT RSUs can be sold immediately when they vest.

What is Reddit's stock price in 2026? +

Reddit (NYSE: RDDT) trades around $157 as of mid-2026. The stock IPO'd at $34 in March 2024, peaked above $300 in late 2024/early 2025, and has pulled back since. Q1 2026 revenue was $663M (69% YoY growth) with 40% EBITDA margin.

What benefits does Reddit offer? +

Reddit offers flexible vacation (unlimited PTO), up to 20 weeks parental leave, comprehensive health/dental/vision insurance, 401(k) matching, volunteer time off, learning budget, commuter benefits, and remote-friendly work options with offices in SF, NYC, and other locations.

Can you negotiate Reddit compensation? +

Yes. The most effective negotiation lever is equity (RSU grant size) — Reddit will move 10-30% with a competing offer. Level is the highest-impact negotiation (IC3 to IC4 is a $158k jump). Base salary bands are relatively fixed within levels. Competing offers from public tech companies are the strongest negotiation tool.

---

## Document: Robinhood Compensation in 2026: Engineer Salaries, Equity & Total Comp Breakdown

# Robinhood Compensation in 2026: Engineer Salaries, Equity & Total Comp Breakdown

> Robinhood engineer salaries in 2026: verified total comp by level (L1–L6), HOOD RSU vesting, base salary ranges, bonus structure, and how it compares to Coinbase, Stripe, and Plaid.

Source: https://jobsbyculture.com/blog/robinhood-compensation-2026
Markdown: https://jobsbyculture.com/blog/robinhood-compensation-2026.md
Last updated: 2026-07-14

---
[Robinhood](https://jobsbyculture.com/companies/robinhood) has had one of the more dramatic employer arcs in fintech. The company that democratized retail investing went public in 2021, watched its stock crater to $7 in 2022, then staged a comeback that few anticipated — HOOD now trades around $73, the company posted $4.5B in revenue in 2025, and headcount has grown 26% year-over-year to ~2,900 employees. For engineers evaluating Robinhood offers, this backstory matters enormously: people who joined during the 2022–2023 dip and held their RSUs have seen extraordinary equity appreciation. The question now is whether incoming packages reflect that momentum.

This breakdown draws on employee-reported compensation data across offer letters, review submissions, and verified salary reports to give you the most complete picture of Robinhood engineer pay available anywhere. We cover total comp by level (L1 through L6), base salary ranges, RSU vesting mechanics, bonus structure, benefits, and how it all stacks up against [Coinbase](https://jobsbyculture.com/blog/coinbase-compensation-2026), [Stripe](https://jobsbyculture.com/blog/stripe-compensation-2026), and Plaid.

## Robinhood at a Glance

Founded

2013

Headquarters

Menlo Park, CA (+ NYC, Denver, Seattle)

Status

Public (HOOD · NASDAQ)

Stock Price

~$73 (May 2026)

Revenue (2025)

$4.5B (record)

Employees

~2,900 (+26% YoY)

Glassdoor Rating

3.7 / 5.0 (863 reviews)

Comp & Benefits Rating

4.0 / 5.0

Recommend to Friend

61%

Median TC (all levels)

$305,750

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Strong Equity](https://jobsbyculture.com/values/equity), [Social Impact](https://jobsbyculture.com/values/social-impact)

$305k

Median Total Comp

$73

HOOD Stock Price

40–50%

Equity Share at Senior Levels

## Total Compensation by Level (L1–L6)

Robinhood uses a six-level engineering ladder. The table below reflects verified total comp figures based on employee-reported offer and refresh data. All figures are annualized and assume Menlo Park / San Francisco market (the highest band). NYC and Denver roles typically price 5–15% lower depending on level.

Level

Title

Google Equiv.

Base Salary

Annual RSU

Bonus

Total TC

L1

Software Engineer (New Grad)

L3

$135k–$150k

~$50–54k

—

$200k–$215k

L2

Software Engineer (Mid-Level)

L4

$180k–$200k

~$92–100k

—

$290k–$310k

L3

Senior Software Engineer

L5

$217k

~$169k

~$21k

~$407k

L4

Staff Software Engineer

L6

$247k

~$224k

~$39k

~$511k

L5

Senior Staff Software Engineer

L7

$251k

~$273k

~$26k

~$550k

L6

Principal Engineer

L8

$260k+

$300k+

$40k+

$600k+

The standout data point is the L3–L4 range. Senior and Staff engineers at Robinhood are earning $407k–$511k total comp — well above the fintech median and approaching numbers more commonly seen at frontier AI labs. The equity component doing 40–50% of the work is key to understanding why: with HOOD at $73 (up from $7 in 2022), the value of equity granted in recent refreshes has climbed dramatically.

**Note on location bands:** Robinhood anchors its highest band to Menlo Park (Bay Area). NYC roles typically land 5–10% lower on base. Denver roles can be 10–15% lower. However, RSU grants are generally made in dollar value, not share count — so the equity component normalizes across locations at the time of grant.

## Base Salary Deep Dive

Robinhood’s base salary strategy sits at or above the 75th percentile for fintech, clearly intentional given the company’s need to compete for talent against both FAANG and the growing roster of well-funded fintech and crypto companies. The $217k base at L3 (Senior) is notable — it exceeds base pay at many larger companies, including some FAANG equivalents at the L5 level.

Base salary at Robinhood matters more than at pre-IPO startups for a simple reason: as a public company, base is cash in hand. Unlike early-stage equity that might be illiquid for years, your base salary hits your bank account every two weeks regardless of where HOOD is trading. At the senior end of the ladder, Robinhood’s base is competitive enough to live well in the Bay Area on base salary alone — the equity is upside, not a necessity.

### How base increases across levels

-   **L1 to L2:** The biggest percentage jump — roughly 30–40% increase in base as you move from new grad to mid-level. This is where demonstrated ownership and independent delivery get rewarded.
-   **L2 to L3:** Another significant step, typically 8–20% in base, but the RSU grant grows disproportionately. Total comp jumps from ~$300k to ~$407k, with equity doing much of the heavy lifting.
-   **L3 to L4+:** Base salary begins to flatten (<15% increase from L3 to L5), but RSU grants continue to scale meaningfully. At L4, equity surpasses base as the largest single comp component.

One pattern that emerges from employee reports: Robinhood’s new hire offers tend to be generous relative to internal refresh grants. Engineers who have been at the company 2+ years consistently note that external candidates coming in at their level often receive better equity packages. This makes Robinhood’s _first_ offer especially important to negotiate — see the negotiation section below.

## Equity & RSUs: The HOOD Story

The equity component of Robinhood compensation is where the real story lives in 2026. Understanding how HOOD RSUs work — and why the stock’s trajectory matters so much — is essential for evaluating any offer.

### How HOOD RSUs vest

Standard Vesting Schedule

RSUs vest quarterly after a one-year cliff. A standard 4-year grant vests 25% at the 12-month mark, then 6.25% every quarter for the remaining 3 years. Unlike stock options (which have a strike price), RSUs are full-value shares — they’re worth exactly the market price of HOOD on each vesting date, with no exercise required.

Robinhood grants RSUs in dollar value, not share count. If you receive a $200k RSU grant when HOOD is at $73, you’re receiving approximately 2,740 shares. Those shares vest over time and are taxed as ordinary income at vest. Because the grant is denominated in dollars, your number of shares depends on what the stock is doing at grant date — a lower stock price means more shares for the same dollar value.

### The HOOD stock appreciation story

Here’s the equity context that makes Robinhood unusual in 2026. The company’s IPO was in July 2021. The stock hit lows around $7 in late 2022 amid the broader fintech selloff and Robinhood’s own revenue challenges. Engineers who joined during that period — or who received refresh grants at $7–$15 — are sitting on extraordinary unrealized gains now that HOOD trades at ~$73.

Employee Perspective "Got RSUs at $9 in my 2022 refresh. Those same shares are now worth 8x. The total comp number on my offer letter in 2022 looked mediocre. In reality, it was one of the best compensation decisions I've made."

For employees joining in 2026, the upside calculus is different. HOOD at $73 means you need the stock to continue appreciating from a much higher base. The bull case — Robinhood expanding into credit cards, retirement accounts, international markets, and crypto — is credible given $1.07B in Q1 2026 revenue. But the extraordinary 10x gains of the 2022–2023 cohort are baked in. New joiners are betting on continued execution from a company that has already recovered, not one priced for failure.

### RSU refreshes and retention grants

Robinhood grants annual equity refreshes tied to performance reviews, typically in Q1. Multiple employee reports confirm that strong performers receive refresh grants that effectively extend their equity runway beyond the initial 4-year vesting cliff. This is meaningful at Robinhood’s current scale — retention is a real concern as the company competes with [AI labs offering $400k–$600k+](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) to senior engineers.

## Bonus Structure

Robinhood’s cash bonus program is more structured at senior levels and essentially absent at junior levels. Here’s what the data shows:

-   **L1–L2:** No structured annual bonus. Total comp is almost entirely base + equity. Some teams have project-based spot bonuses but these are not part of the standard package.
-   **L3 (Senior):** Annual performance bonus averaging ~$21k based on employee-reported data. Target is typically 8–10% of base, paid out based on individual and company performance.
-   **L4 (Staff):** Annual bonus averaging ~$39k. Target is roughly 12–15% of base. At this level, the bonus + equity combination starts to make total comp meaningfully variable year-to-year.
-   **L5–L6:** Bonus ranges from $26k to $40k+. Note that at L5, the bonus is slightly lower than L4 in absolute terms in some datasets — this reflects the higher RSU component at L5, which functionally compensates for a somewhat smaller cash bonus target.

Robinhood’s bonus structure is not a standout relative to competitors. Coinbase and Stripe tend to pay similar or slightly higher cash bonuses at equivalent levels. Where Robinhood differentiates is in the equity component — the RSU grants are structured to be the primary retention lever, not the bonus.

## Benefits Beyond Cash

Robinhood’s benefits package is comprehensive and in line with what you’d expect from a well-funded public fintech company. Some highlights based on current employee reports:

-   **Health insurance:** Medical, dental, and vision coverage for employees and dependents. Multiple plan tiers including HSA-eligible high-deductible options. Employee premiums are low relative to the Bay Area market.
-   **401(k) match:** Robinhood offers a 401(k) with employer match. The match structure is competitive (reported at 3–4% of salary), and Robinhood’s financial product focus means employees get first-look access to new retirement features the company develops for its customers.
-   **Parental leave:** 16 weeks of paid parental leave for primary caregivers, 6 weeks for secondary caregivers. Competitive relative to fintech peers.
-   **Learning & development:** Annual L&D budget for conferences, courses, and professional development. Multiple engineers cite this as a genuine perk, though the budget amount varies by team.
-   **Robinhood Gold:** Employees receive a complimentary Robinhood Gold subscription, giving access to premium features including higher interest on uninvested cash, Morningstar research, and larger instant deposit limits — a nice perk given the company’s own product.
-   **Commuter benefits & gym:** Bay Area employees have commuter stipends and gym access through the Menlo Park HQ.

Employee Pro "Benefits are genuinely strong — health coverage is excellent, parental leave is real, and the 401k match is solid. The Robinhood Gold membership is a small but thoughtful perk."

## Glassdoor Ratings: What Employees Think of the Pay

Robinhood’s overall Glassdoor rating of 3.7 is below the median for the [118 companies in our culture directory](https://jobsbyculture.com/companies). But the Compensation & Benefits sub-score of 4.0 is the company’s strongest rating — and meaningfully above its other sub-scores. This tells an important story: employees generally feel well-paid even if other aspects of the culture get mixed reviews.

Compensation & Benefits 4.0

Overall Rating 3.7

Work-Life Balance 3.5

Culture & Values 3.3

Career Opportunities 3.2

Only 61% of reviewers would recommend Robinhood to a friend — that’s a yellow flag, though the comp score suggests pay isn’t the reason. The lower Culture & Values (3.3) and Career Opportunities (3.2) scores point to recurring themes in reviews: ambiguity around promotion criteria, organizational turbulence from rapid headcount swings, and a culture that can feel reactive rather than proactive about people development.

## Robinhood vs. Competitors: How Does the Pay Stack Up?

Robinhood’s compensation is most often compared to three companies: Coinbase (closest public fintech peer), [Stripe](https://jobsbyculture.com/blog/stripe-compensation-2026) (high-bar fintech with similar talent pool), and Plaid (private fintech, Series D, also Menlo Park-based). Here’s how they compare at the Senior Engineer (L3 equivalent) level:

Company

Status

Base (Sr. Eng)

Equity (Ann.)

Total TC

Glassdoor

Robinhood

Public (HOOD)

~$217k

~$169k

~$407k

3.7

[Coinbase](https://jobsbyculture.com/blog/coinbase-compensation-2026)

Public (COIN)

~$210k

~$155k

~$380k

3.5

[Stripe](https://jobsbyculture.com/blog/stripe-compensation-2026)

Private (~$91B)

~$220k

~$150k

~$380k

4.0

Plaid

Private (Series D)

~$195k

~$120k

~$325k

3.8

At the Senior Engineer level, Robinhood edges out both Coinbase and Stripe on total comp. The delta isn’t massive — we’re talking $20k–$30k difference — but the combination of a high base _and_ a meaningful public equity stake is genuinely competitive. Plaid trails the public comps significantly, which is a risk factor for Plaid employees: if a liquidity event doesn’t materialize at a favorable valuation, the total comp delta compounds over time.

Worth noting: for engineers who specifically want exposure to crypto and blockchain infrastructure, Coinbase’s product surface area may be a better fit regardless of the $20–30k TC gap. For those who prioritize culture rating and engineering rigor, Stripe’s 4.0 Glassdoor vs Robinhood’s 3.7 is a meaningful signal. For those who simply want maximum total comp at the Sr. Engineer level in fintech, Robinhood comes out ahead in 2026. See our full [highest-paying tech companies breakdown](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) for broader context.

## Negotiation Tips for Robinhood Offers

A few patterns emerge from employee reports and offer negotiations at Robinhood that are worth knowing before you engage:

### 1\. The initial offer is rarely the ceiling

Multiple reports confirm that Robinhood’s first offer has room to move, particularly on the equity component. Base salary bands are somewhat rigid (especially in the Bay Area where Robinhood anchors to market data), but RSU grant size is where recruiters have meaningful discretion. Asking for 15–25% more equity than the initial offer is considered normal and rarely kills a deal.

### 2\. Competing offers are the most effective lever

Robinhood’s recruiting team responds well to competing offers from companies at a comparable or higher TC range. Other public fintech companies (Coinbase, Affirm, SoFi) are valid anchors. Frontier AI lab offers (Anthropic, OpenAI, Google DeepMind) are especially effective at the L3+ level because they push Robinhood to compete on equity in a way that most fintech comparables don’t.

### 3\. Sign-on bonuses as a bridge

If you’re leaving a company with unvested equity, Robinhood will often offer a sign-on bonus to bridge the gap. Make sure to disclose the full vesting schedule of your current equity — not just what’s currently vesting, but what you’re leaving on the table over the next 12–24 months. This is the most underutilized piece of leverage in fintech negotiations.

### 4\. Negotiate level, not just comp

Given the significant TC jump between adjacent levels (L2→L3 is roughly a $100k TC difference), getting leveled correctly is more valuable than marginal negotiation at your current level. If you have evidence that you’re operating above the proposed level — scope of previous work, cross-team impact, technical leadership examples — push for a senior level discussion before finalizing any numbers.

### 5\. Refresh grants are negotiable in year-one reviews

Robinhood’s annual review cycle in Q1 is an opportunity to negotiate refresh RSUs. Strong performers who advocate clearly for a higher refresh grant often receive it. Document your impact in quantifiable terms ahead of review season — engineers who come with receipts (features shipped, reliability improvements, revenue impact) get materially better refresh outcomes than those who rely on their manager’s assessment alone.

## Frequently Asked Questions: Robinhood Compensation

What is Robinhood’s total compensation for software engineers in 2026?+

Robinhood total compensation ranges from roughly $200k–$215k at L1 (new grad) to $511k+ at L4 (Staff Engineer). The median TC across all levels is approximately $305,750. Equity (HOOD RSUs) represents 40–50% of total comp at senior levels, with public stock currently trading around $73. See the [Robinhood culture profile](https://jobsbyculture.com/companies/robinhood) for more context on the company as an employer.

How does Robinhood’s leveling compare to Google?+

Robinhood’s leveling maps roughly as follows: L1 ≈ Google L3, L2 ≈ Google L4, L3 ≈ Google L5, L4 ≈ Google L6, L5 ≈ Google L7, L6 ≈ Google L8. This calibration is based on employee-reported data across the fintech industry and is commonly used when evaluating cross-company offers. Note that leveling equivalency is approximate — scope expectations vary significantly by company.

What are Robinhood’s RSUs and how do they vest?+

Robinhood grants RSUs in public company HOOD stock. Vesting is quarterly after a one-year cliff: 25% vests at the 12-month mark, then 6.25% every quarter for the remaining 3 years. RSUs are granted in dollar value (not share count), so the number of shares you receive depends on HOOD’s price at grant date. RSUs are taxed as ordinary income at each vest event — you’ll owe taxes on the market value of shares that vest each quarter.

Does Robinhood pay bonuses?+

Yes. Robinhood provides performance bonuses at mid and senior levels. Based on employee-reported data, annual bonuses average roughly $21k at L3 (Senior Engineer) and $39k at L4 (Staff Engineer). Junior levels (L1–L2) have minimal or no structured bonus. Bonus targets are typically 8–15% of base salary and paid out based on a combination of individual and company performance.

How has HOOD stock performance affected Robinhood compensation?+

Robinhood’s stock hit lows around $7 in 2022 before recovering dramatically. As of May 2026, HOOD trades around $73 — a roughly 10x recovery from the trough. Employees who joined or received refreshers during the 2022–2023 dip have seen massive equity appreciation, making Robinhood one of the stronger equity stories in public fintech this cycle. New joiners in 2026 are starting from a higher base, so continued appreciation requires Robinhood to execute on its expanded product roadmap.

How does Robinhood compensation compare to Coinbase?+

Robinhood and Coinbase have similar TC structures as public fintech companies. At the Senior Engineer level, Robinhood’s total comp (~$407k) edges out Coinbase (~$380k) based on verified employee data. However, compensation isn’t the only factor: Coinbase offers broader crypto-native product scope, while Robinhood has diversified into retirement, credit, and international markets. See our [Coinbase compensation breakdown](https://jobsbyculture.com/blog/coinbase-compensation-2026) for a full comparison.

What is Robinhood’s Glassdoor rating?+

Robinhood has a 3.7 out of 5.0 overall Glassdoor rating based on 863 reviews. Compensation & Benefits is the strongest sub-score at 4.0/5, reflecting that pay is a genuine strength. Work-Life Balance is 3.5/5, Culture & Values is 3.3/5, and Career Opportunities is 3.2/5. Only 61% of reviewers would recommend the company to a friend. For a complete breakdown, visit the [Robinhood culture profile page](https://jobsbyculture.com/companies/robinhood).

### Browse Robinhood’s open roles

110 open positions in engineering, product, and operations — with full culture context alongside every listing.

[See Robinhood Jobs →](https://jobsbyculture.com/jobs?company=robinhood) [Highest-Paying Tech Companies →](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

---

## Document: Runway Salary 2026: $240K–$370K TC, Equity & How It Compares to ElevenLabs & Synthesia

# Runway Salary 2026: $240K–$370K TC, Equity & How It Compares to ElevenLabs & Synthesia

> Runway ML compensation in 2026: $240K-$370K total comp for engineers, with equity grants at a $5.3B valuation. Real verified compensation reports and Glassdoor data, role breakdowns, and how it compares to ElevenLabs, Synthesia, Pika, and OpenAI Sora.

Source: https://jobsbyculture.com/blog/runway-compensation-2026
Markdown: https://jobsbyculture.com/blog/runway-compensation-2026.md
Last updated: 2026-07-14

---
TL;DR — Key Takeaways

-   Runway’s median software engineer total compensation is **$332K/year**, according to verified salary reports (updated January 2026).
-   Salary ranges by role: **Backend MTS $240K–$290K**, **ML Engineer MTS $260K–$310K**, **Senior ML Infrastructure $300K–$370K** in base salary.
-   Equity is offered on top of base at Runway’s current **$5.3B valuation** (Series E, February 2026 — led by General Atlantic, backed by Nvidia, Adobe Ventures, AMD Ventures).
-   Glassdoor Comp & Benefits score: **4.6/5** — the highest-rated dimension. Overall score **4.5/5** with 90% recommending to a friend.

In This Article

1.  [Quick Stats at a Glance](#glance)
2.  [The Short Version](#short-version)
3.  [Salary by Role](#salary-by-role)
4.  [Equity & Valuation](#equity)
5.  [Bonus Structure](#bonus)
6.  [Benefits & Perks](#benefits)
7.  [How Runway Compares](#comparison)
8.  [The Creative AI Angle](#culture-angle)
9.  [Negotiation Tips](#negotiation)
10.  [Frequently Asked Questions](#faq)

[Runway](https://jobsbyculture.com/companies/runway) is not a frontier language model lab. It’s something more specific — and, for the right engineer, more exciting: the leading pioneer of AI video generation. Founded in 2018 at NYU by Cristóbal Valenzuela, Alejandro Matamala-Ortiz, and Anastasis Germanidis, Runway built Gen-2 and Gen-3 Alpha before OpenAI launched Sora, and its tools are now used by filmmakers, advertising agencies, and creators across the world. In February 2026, it closed a $315M Series E at a $5.3 billion valuation, backed by Nvidia, General Atlantic, Adobe Ventures, and AMD Ventures.

So how does working at Runway translate financially? The short answer: better than most AI creative startups, but not at frontier lab levels. With a verified compensation reports median engineer TC of $332K, Glassdoor Comp & Benefits score of 4.6/5, and equity at a rapidly appreciating valuation, Runway offers a compelling package for engineers who want to work in generative video. This article breaks it all down.

## Quick Stats at a Glance

Component

Detail

Company

Runway (runwayml.com)

Founded

2018 (New York, NY)

Employees

~420

Valuation

$5.3B (Series E, Feb 2026)

Total Funding

~$860M+

Glassdoor overall

4.5 / 5.0

Comp & Benefits score

4.6 / 5.0

Work-Life Balance

4.0 / 5.0

Recommend to friend

90%

CEO approval

90% (Cristóbal Valenzuela)

Median engineer TC

~$332K (verified compensation reports, Jan 2026)

Backend MTS base range

$240K–$290K

ML Engineer MTS base range

$260K–$310K

Senior ML Infra base range

$300K–$370K

Equity type

Private company equity (options/RSUs)

$332K

Median software engineer total compensation — the highest-rated comp satisfaction among AI video startups

## The Short Version

Runway compensation is built around three components: base salary (transparently disclosed in job postings), equity grants (private company options or RSUs, vesting over 4 years), and benefits. Unlike frontier labs that layer on large signing bonuses and complex equity instruments, Runway’s structure is relatively straightforward — which employees seem to appreciate, given the 4.6/5 Comp & Benefits rating.

The company titles engineering roles as “Member of Technical Staff” (MTS) across specializations — a structure borrowed from research-forward AI companies. This matters for compensation: Runway is explicit about salary bands in its job postings, making negotiation more transparent than at companies that only disclose ranges on request.

A concrete example: A Member of Technical Staff in ML Optimization with senior-level experience would sit in the $300K–$370K base salary range. Add equity at $5.3B valuation and performance bonuses, and total compensation for that role likely lands in the $380K–$450K range — well above the $332K verified compensation reports median, which reflects an average across all seniority levels.

## Salary by Role

Runway publishes salary ranges in its job postings, which makes this more transparent than most AI startups. The following table reflects data from active and recently-closed postings (verified via Glassdoor job listings and direct Greenhouse postings):

Role

Title

Base Salary Range

Backend Engineering

Member of Technical Staff, API

$240K–$290K

ML Engineering

Member of Technical Staff, ML Optimization

$260K–$310K

Senior ML Infrastructure

Staff ML Infrastructure Engineer

$300K–$370K

Research Engineering

Member of Technical Staff, Research Engineer

$260K–$320K (est.)

Product Management

Senior Product Manager, ML Research

$200K–$260K (est.)

These figures represent base salary only. Total compensation is higher once equity and bonuses are factored in. Runway’s salary ranges are based on “competitive market rates for their size, stage and industry,” per the company’s job postings — which means they’re pegged to other well-funded Series D–E AI startups, not to Big Tech or frontier labs.

Interested in these salary ranges? See what’s open now. [See open Runway positions →](https://jobsbyculture.com/jobs?company=runway)

## Equity & Valuation

Runway is a private company, which means equity is illiquid until an IPO or acquisition. That said, the valuation trajectory makes the equity meaningful: from roughly $1.5B in early 2023 to $3B (April 2025 Series D) to $5.3B (February 2026 Series E). Investors in the latest round include General Atlantic (lead), Nvidia, Adobe Ventures, AMD Ventures, SoftBank, Fidelity, and Felicis Ventures.

Key facts about Runway equity:

-   **Structure:** Reports suggest Runway grants employee stock options or RSUs (exact structure not publicly confirmed). A standard 4-year vesting schedule with a 1-year cliff is typical for a company at this stage.
-   **Valuation trajectory:** The $5.3B valuation represents a 77% increase from the April 2025 Series D ($3B) in under a year — meaningful upside for early employees and recent hires.
-   **Backer quality:** Nvidia’s participation is particularly notable. Having the dominant AI infrastructure company as an investor signals strategic importance and provides access to GPU resources, which is core to Runway’s research capabilities.
-   **Liquidity timing:** There is no publicly announced IPO timeline as of April 2026. Employees should plan for a 3–5 year horizon before liquidity, though secondary markets and tender offers could provide earlier exits.

Pro — Glassdoor review (paraphrased) “Compensation is strong for a startup this size. The equity feels real given the valuation growth and investor quality. Being backed by Nvidia is not just symbolic — it means GPU access and credibility.”

Con — Glassdoor review (paraphrased) “The space is getting competitive fast. Sora from OpenAI, Kling, Pika — the equity bet is a bet on Runway staying ahead. That’s not guaranteed.”

The honest equity question for Runway candidates: _do you believe Runway will remain the generative video leader as OpenAI, Google, and well-funded competitors pour resources into the space?_ If yes, equity at $5.3B with a potential $15B+ exit is compelling. If uncertain, the base salary (transparent and competitive) should carry most of the compensation weight in your evaluation.

Related Reading

-   [OpenAI Compensation 2026: Salary, PPU Equity, Bonus & How It Compares](https://jobsbyculture.com/blog/openai-compensation-2026)
-   [Anthropic Compensation 2026: Salary, Equity, Bonus & How It Compares](https://jobsbyculture.com/blog/anthropic-compensation-2026)
-   [Highest-Paying AI Companies in 2026: Full Ranking](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

## Bonus Structure

Runway’s bonus structure is not publicly disclosed in detail. Based on available data and reports, here is what candidates should expect:

-   **Performance bonuses:** Reports suggest discretionary performance bonuses are offered, tied to individual and company milestones. Given the 4.6/5 Comp & Benefits rating, it is reasonable to infer that bonuses are viewed positively by employees, though specific percentages are not confirmed.
-   **Signing bonuses:** Signing bonuses are offered in select cases, particularly for senior hires or candidates who are sacrificing unvested equity at their current employer. These are negotiated on a case-by-case basis.
-   **Refresher equity grants:** As is standard for well-funded startups, annual equity refreshers are typically part of the compensation mix for high-performing employees — particularly important at Runway as the valuation increases, since later grants reflect higher prices.

For a company at Runway’s stage and size, the equity component and base salary dominate the compensation picture. Cash bonuses are meaningful but secondary. When evaluating an offer, focus your negotiation energy on the equity grant size and vesting terms rather than the cash bonus.

## Benefits & Perks

Runway’s benefits package reflects its position as a well-funded Series E company prioritizing talent retention. Based on job postings and employee reports:

-   **Health insurance:** Comprehensive medical, dental, and vision coverage for employees. For a company of ~420 people, this is typically provided at a high employer-contribution level.
-   **Remote-friendly work:** Most engineering roles at Runway are listed as remote or remote-eligible, reflecting the company’s distributed hiring approach. This is a meaningful perk for candidates outside of New York.
-   **Equity in a high-growth company:** With the $5.3B valuation and strong investor backing including Nvidia, the equity component has real potential value beyond base compensation.
-   **Creative work environment:** Runway is genuinely a company where engineers work alongside designers, filmmakers, and artists. For candidates who are excited by the intersection of technology and creative media, this is a cultural benefit that is hard to quantify but genuinely differentiating.
-   **Learning & development:** Runway scores 4.2/5 on Career Opportunities on Glassdoor, suggesting employees feel there is real growth potential — particularly in research, ML infrastructure, and video generation, which are all nascent and fast-moving fields.
-   **Work-life balance:** Glassdoor WLB score of 4.0/5 is notably better than most frontier AI labs (OpenAI: 3.6/5, Anthropic: 3.5/5), suggesting a more sustainable pace — a real advantage for those who want to work in AI without the relentless intensity of the top labs.

Pro — Glassdoor review (paraphrased) “Great people, very capable and supportive. You feel empowered and trusted to own things and make decisions. The intersection of art and AI is unique — you won’t find that combination anywhere else.”

Con — Glassdoor review (paraphrased) “Smaller team means you wear multiple hats. If you want deep specialization in one area, it can be challenging. Fast-growing but still figuring out processes.”

## How Runway Compares

Runway competes for talent primarily in the AI creative tools space — against ElevenLabs (audio/voice), Synthesia (AI avatar video), Pika (text-to-video), and indirectly against Sora at OpenAI. Here is how compensation stacks up:

Company

Focus

Median TC (SWE)

Comp Score

Stage

[Runway](https://jobsbyculture.com/companies/runway)

AI video generation

~$332K

4.6 / 5

Series E, $5.3B

ElevenLabs

AI voice/audio

~$142K

N/A

Series C, ~$3.3B

Synthesia

AI avatar video

Not reported

N/A

Series D, ~$2.1B

Pika

Text-to-video

Not reported

N/A

Series B, ~$500M

[OpenAI](https://jobsbyculture.com/companies/openai) (Sora team)

Frontier AI / Sora

~$555K (median all eng)

4.4 / 5

Private, $157B val.

Key takeaways from the comparison:

-   **Runway clearly leads AI creative startups in engineer compensation.** The $332K median is more than double what verified compensation reports reports for ElevenLabs ($142K), reflecting Runway’s longer history, larger team, and more mature compensation structure. Pika and Synthesia data are limited, but reports suggest they are in the $200K–$300K range for senior engineers.
-   **OpenAI (Sora) pays significantly more in total comp ($555K median),** but candidates joining Runway choose it for mission and product focus, not pay maximization. A Sora engineer at OpenAI works on one feature within a massive lab; a video ML engineer at Runway shapes the core product.
-   **The WLB advantage is real.** Runway’s 4.0/5 WLB score vs. OpenAI’s 3.6/5 is a meaningful difference for engineers who want sustainable careers. The gap in total comp may be partially offset by lower burnout risk.
-   **Runway’s Comp & Benefits score (4.6/5) is actually higher than OpenAI’s (4.4/5),** suggesting that while Runway pays less in raw numbers, employee satisfaction with the overall compensation package is high — likely because expectations are calibrated to a startup context, not a frontier lab.

## The Creative AI Angle: Why Engineers Choose Runway

Compensation data only tells part of the story. Engineers who choose Runway over higher-paying alternatives typically cite a few factors that are hard to put a number on:

-   **Product ownership:** At ~420 employees, Runway engineers have direct ownership over systems that ship to real users — filmmakers, studios, and creators who rely on Gen-3 Alpha for professional work. This is qualitatively different from working in a large org where individual contributions are abstracted from the end product.
-   **Art meets engineering:** Runway’s culture uniquely blends technical rigor with aesthetic sensibility. Engineers work alongside people who come from film, design, and visual arts backgrounds. If you care about creative applications of AI rather than general-purpose model capability, Runway is the most mission-aligned employer in the space.
-   **Generative video research frontier:** World models and video generation are some of the most technically interesting problems in AI right now. Runway’s February 2026 fundraise explicitly references a “pivot to world models” — meaning engineers who join now will work on defining what the next generation of spatial AI looks like.
-   **Nvidia relationship:** Having Nvidia as an investor provides practical advantages: GPU access, early access to next-generation hardware, and the kind of credibility that matters for attracting ML talent. For engineers who care about research infrastructure, this is significant.

$5.3B

Runway valuation (Feb 2026) — up 77% from $3B just 10 months earlier

## Negotiation Tips

If you receive a Runway offer, here’s how to think about negotiation:

-   **Use the published salary bands as your floor.** Because Runway transparently publishes salary ranges in job postings, you already know the band before you negotiate. If you receive an offer at the bottom of the stated range, there is clear room to push toward the midpoint or top — particularly if you have competing offers or strong specialized experience in video ML, GPU optimization, or generative models.
-   **Focus on the equity grant size.** As with all private company offers, the equity component has the most variable room for negotiation. At a $5.3B valuation with demonstrated upside, even a modest increase in your equity grant can be worth hundreds of thousands of dollars in a future liquidity event. Ask for the grant amount, vesting schedule, and exercise window explicitly.
-   **Competing offers from the generative AI space carry weight.** An offer from Pika, Suno, Synthesia, or ElevenLabs establishes a floor. An offer from a frontier lab (OpenAI, Anthropic) establishes a ceiling and gives you the strongest leverage, though the gap in mission fit is then the question Runway’s recruiters will address.
-   **Ask about the “world models” roadmap.** Runway’s stated direction in the 2026 fundraise is toward world models — not just video generation tools. Depending on your career interests, understanding whether your role positions you for that research work (vs. product maintenance) affects the non-financial value of the offer.
-   **Remote flexibility is negotiable.** Most Runway engineering roles are remote-eligible, but if a role is listed as NYC-preferred, it is worth asking about full remote — particularly given the company’s existing distributed workforce.

### Is Runway Compensation Worth It?

Runway pays well for a company of its size — the $332K median engineer TC is strong for a 420-person AI startup, and the 4.6/5 Comp & Benefits rating reflects genuine employee satisfaction. The real question is whether you’re the right fit for the mission. Runway is not the right choice if you’re optimizing purely for total compensation (go to [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026) for that). But if you want to build in generative video at the frontier, own product-facing work, and hold equity in a company that grew from $3B to $5.3B in under a year, Runway offers a compelling combination of compensation, mission, and technical challenge that is hard to find elsewhere in AI.

## Open Positions at Runway

Runway is actively hiring across ML research, ML infrastructure, backend engineering, and product roles. Most positions are remote-eligible. Note that Runway’s Greenhouse ATS has shown fewer active postings recently — this appears to reflect selective, deliberate hiring rather than a hiring freeze, consistent with the company’s culture of thoughtful team building.

For the full list of live openings, visit the [Runway jobs page](https://jobsbyculture.com/jobs?company=runway). You can also explore the [Runway culture profile](https://jobsbyculture.com/companies/runway) for Glassdoor ratings, employee reviews, and culture values including [Engineering-Driven](https://jobsbyculture.com/values/eng-driven), [Product Impact](https://jobsbyculture.com/values/product-impact), and [Ship Fast](https://jobsbyculture.com/values/ship-fast).

## Frequently Asked Questions

What is the average salary at Runway ML in 2026?+

According to verified salary reports (last updated January 2026), the median total compensation for a software engineer at Runway is approximately $332K per year. This includes base salary, equity grants, and bonuses. Salary ranges vary by role: backend engineers typically see $240K–$290K, mid-level ML engineers $260K–$310K, and senior ML infrastructure or optimization roles can reach $300K–$370K. Equity adds additional upside at Runway’s current $5.3B valuation.

Does Runway ML offer equity to employees?+

Yes. Runway offers equity as part of its compensation package for most engineering and technical roles. As a private company most recently valued at $5.3 billion (February 2026 Series E), equity grants carry meaningful upside potential. The valuation has grown from $3B to $5.3B in under a year. Investors include Nvidia, General Atlantic, Adobe Ventures, AMD Ventures, SoftBank, and Fidelity. Equity typically vests over 4 years. Specific grant amounts are not publicly disclosed but reports suggest they are competitive with other AI startups at this stage.

How much does a Runway ML engineer make?+

Runway engineer total compensation depends heavily on specialization. Backend engineers (Member of Technical Staff, API) earn $240K–$290K in base salary. ML optimization engineers see $260K–$310K. Senior ML infrastructure engineers at the staff level can reach $300K–$370K. The verified compensation reports median for software engineers at Runway is $332K. See all [current Runway openings](https://jobsbyculture.com/jobs?company=runway).

How does Runway compensation compare to OpenAI (Sora)?+

Runway pays significantly less in total comp than [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026). OpenAI’s median engineer TC is approximately $555K, more than 60% higher than Runway’s $332K median. However, Runway offers a different value proposition: smaller team (~420 employees), more creative autonomy, direct ownership over AI video generation products, and meaningful equity upside at a $5.3B valuation. Candidates who want to build in the generative video space — rather than work on general-purpose language models — may find Runway’s mission more compelling despite the compensation gap.

How does Runway salary compare to ElevenLabs?+

Runway generally pays more than ElevenLabs. verified compensation data shows ElevenLabs software engineer median total compensation around $142K, while Runway’s median is $332K — more than double. The difference reflects Runway’s larger team size (~420 vs. ElevenLabs’ smaller headcount), longer operating history (founded 2018 vs. 2022), and more substantial funding base ($860M+ vs. ElevenLabs’ $281M). Both companies offer equity in private companies operating in fast-growing AI creative tools markets.

What benefits does Runway offer?+

Runway offers a comprehensive benefits package including health, dental, and vision insurance; equity compensation; flexible and remote-friendly work arrangements; learning and development opportunities; and a creative work environment at the intersection of art and AI. Glassdoor rates Runway’s Compensation & Benefits at 4.6/5, the highest-rated dimension of the company profile and higher than most AI labs. Work-life balance scores at 4.0/5 — better than OpenAI (3.6/5) and Anthropic (3.5/5).

Can you negotiate a Runway ML salary offer?+

Yes — Runway offers are negotiable, particularly the equity component. Competing offers from other AI video or creative AI companies (Pika, Synthesia) as well as broader AI labs (Anthropic, Cohere, Mistral) provide the strongest leverage. Because Runway is smaller and more selective in hiring, candidates with specialized ML video, GPU optimization, or generative model experience have strong negotiating position. Focus on the equity grant size and vesting terms, as base salary bands tend to be more fixed by role tier. The published salary ranges in Runway’s job postings give you a clear anchor for salary negotiation.

Is Runway ML hiring in 2026?+

Runway is actively hiring in 2026, though at a more selective pace than larger AI labs. The company raised $315M at a $5.3B valuation in February 2026, providing capital for continued headcount growth. Open roles span ML research, ML infrastructure, backend engineering, product management, and go-to-market. Most roles are remote-friendly. Runway’s Greenhouse ATS has recently shown fewer active postings, which reports suggest reflects selective hiring rather than a hiring freeze. Check the [Runway jobs page](https://jobsbyculture.com/jobs?company=runway) for current listings or visit [the culture profile](https://jobsbyculture.com/companies/runway) for more context.

### Explore open Runway roles

Browse current positions with compensation context and culture match data.

[See Runway Jobs →](https://jobsbyculture.com/jobs?company=runway) [Runway Culture Profile →](https://jobsbyculture.com/companies/runway)

---

## Document: Runway Remote Work Policy 2026: Is Runway ML Actually Remote Friendly?

# Runway Remote Work Policy 2026: Is Runway ML Actually Remote Friendly?

> Is Runway ML remote-friendly in 2026? We analyzed open roles and Glassdoor reviews: NYC is the center of gravity despite a “remote-first” label. Here’s the real policy, office locations, and what employees say.

Source: https://jobsbyculture.com/blog/runway-remote-work-policy-2026
Markdown: https://jobsbyculture.com/blog/runway-remote-work-policy-2026.md
Last updated: 2026-07-14

---
If you’re looking at [Runway](https://jobsbyculture.com/companies/runway) as a potential employer and remote work matters to you, the official “remote-first” label deserves scrutiny. We analyzed Runway’s open roles, cross-referenced with Glassdoor reviews, and looked at how the company actually operates day-to-day. Here’s the unfiltered picture.

The short answer: Runway is **remote-friendly with a strong New York hub**, not fully remote-first. Brooklyn is where founders, research leadership, and core creative teams are concentrated. Remote is genuinely available for many engineering roles, but if you’re in research, design, or leadership, expect the NYC gravitational pull. If you want a truly distributed AI video company, we’ll point you to better options below.

## Runway Remote Policy at a Glance

Metric

Detail

Official policy

“Remote-first”

Reality

Remote-friendly, NYC-centric

Employees

~420

HQ

Brooklyn, New York

Other offices

Manhattan (NYC), San Francisco, Seattle, London, Tel Aviv

International remote

Not broadly offered (in-office at international locations)

Glassdoor rating

4.5 / 5.0 (~18 reviews)

Work-life balance

4.0 / 5.0

CEO approval

90% (Cristóbal Valenzuela)

4.5

Runway’s Glassdoor rating — 90% of reviewers recommend working here

## What “Remote-First” Actually Means at Runway

Runway describes itself as remote-first and states that employees can choose to work remotely full-time, meet up with colleagues in their area, or visit a hub occasionally — with no stated requirement to come into any office. In practice, the picture is more nuanced:

-   **Many roles are genuinely remote-eligible.** Engineering, applied research, and some product roles are available across the United States without a mandatory office requirement.
-   **NYC is where creative decisions happen.** Runway was founded in New York, and the founders, design leads, and most research leadership remain Brooklyn-based. The gravitational pull toward the NYC hub is real, especially for roles that touch the creative product directly.
-   **International remote is not broadly offered.** The London and Tel Aviv offices exist but are in-office positions. There is no work-from-anywhere international policy for most roles.
-   **Async works — until it doesn’t.** Employees note that remote working “works well” for focused individual work, but key creative and strategic conversations skew in-person. Being remote at Runway means accepting that some decisions will be made in the room without you.

## Which Roles Are Actually Remote at Runway?

Based on our analysis of Runway’s active job listings, the remote-eligible positions cluster in specific areas:

-   **Engineering (Backend, Infrastructure, ML)** — The largest pool of remote-eligible roles. Software engineers, ML engineers, and infrastructure roles are frequently listed without a location requirement or as “Remote (US).”
-   **Applied Research** — Select research scientist and applied research roles list remote as an option, particularly those involving generative video, audio, and multimodal models.
-   **Technical Recruiting & Operations** — Support and operational roles often carry remote flexibility.

What’s notably _not_ remote? Core research leadership, product design, and senior creative roles. If you’re a designer or a research lead hoping to build Gen-3 Alpha from a different city, you’ll likely be expected in Brooklyn or at least making regular trips.

## Runway Office Locations

Runway has expanded from its original New York base to a multi-city presence across three continents:

Brooklyn, New York

Headquarters (201 Moore St) · Founders & research leadership

Manhattan, New York

Secondary NYC office (79 Walker St) · Product & creative teams

San Francisco, CA

West Coast hub · Engineering presence

Seattle, WA

Engineering & infrastructure roles

London, UK

European base · In-office roles

Tel Aviv, Israel

Research presence · In-office roles

While the global footprint reflects Runway’s ambition, the international offices are largely in-office positions. Runway does not currently offer remote work from countries where it doesn’t have an established entity.

## What Employees Say About Remote Work at Runway

Glassdoor reviews paint a mixed but generally positive picture. Employees value the culture and the creative mission, but the NYC pull and pace get called out consistently:

Pro — Glassdoor review “Despite physical presence and option to work from an office, remote working works well — being across multiple timezones works to our favor rather than disadvantage.”

Pro — Glassdoor review “Working on cutting-edge AI — Gen-3 is genuinely frontier technology. The culture is family-oriented with many parents in roles across the company.”

Con — Glassdoor review “Unlimited PTO sounds great on paper, but the culture expects you to work long hours. Summer Fridays were quietly removed.”

Con — Glassdoor review “New York headquarters can mean fewer real opportunities for those outside the US. Key creative decisions happen in Brooklyn.”

The 4.0/5 work-life balance score on Glassdoor reflects a company that respects balance in principle but pushes hard on speed and quality in practice. The “remote-first” label is genuine for many roles, but don’t expect it to translate into 9-to-5 hours regardless of where you sit.

## Runway vs. Peers: ElevenLabs, Synthesia, Pika & OpenAI

If remote flexibility is a priority, here’s how Runway stacks up against its closest peers in the AI video and creative AI space:

Company

Remote Policy

Glassdoor

WLB

HQ

[Runway](https://jobsbyculture.com/companies/runway)

Remote-friendly, NYC hub

4.5

4.0

Brooklyn, NY

ElevenLabs

Fully distributed, 30+ countries

4.5

4.2

NYC / London / Warsaw

Synthesia

Hybrid-distributed, London base

4.1

3.9

London, UK

Pika

NYC-centric, small team

N/A

N/A

New York, NY

[OpenAI](https://jobsbyculture.com/companies/openai)

Office-first (SF HQ), selective remote

3.9

3.4

San Francisco, CA

The clearest contrast is **ElevenLabs** — Runway’s most remote-friendly peer. ElevenLabs is genuinely distributed across 30+ countries with no single office dominating culture. If you want to build AI audio or video technology without any office pull, ElevenLabs is the better fit. OpenAI sits at the other extreme: SF-first, with remote roles limited to select senior positions. Runway sits comfortably in the middle.

See our full [remote-friendly AI companies guide](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026) for companies where remote is the default, not the exception.

### The Bottom Line

Runway is a world-class AI video company with a 4.5 Glassdoor rating and a genuinely creative culture — but “remote-first” at Runway means “we won’t force you into the office, but NYC is still where the creative energy lives.” If remote work is non-negotiable for a research or design role, look at [ElevenLabs](https://elevenlabs.io/careers?ref=jobsbyculture.com) or [Synthesia](https://www.synthesia.io/company/careers?ref=jobsbyculture.com). If you’re an ML or backend engineer who can work US hours, Runway’s remote setup is quite workable — and the product you’d be building is genuinely frontier-level.

## Open Positions at Runway

Runway has open roles in research, engineering, product, design, and operations. Many engineering positions are available remotely across the United States, while creative and leadership roles skew toward New York.

For the full list of live openings with location filters, visit the [Runway jobs page](https://jobsbyculture.com/jobs?company=runway) or explore the [Runway culture profile](https://jobsbyculture.com/companies/runway) for Glassdoor ratings, employee reviews, and a breakdown of culture values. You can also read our [Runway compensation guide](https://jobsbyculture.com/blog/runway-compensation-2026) for salary and equity benchmarks.

## Frequently Asked Questions

Is Runway ML remote friendly?+

Runway describes itself as “remote-first” but New York City (Brooklyn HQ) is the center of gravity. A meaningful share of roles — particularly in research, design, and leadership — skew toward or prefer NYC. Remote employees report that collaboration works well for focused work, but that key creative decisions often happen in person. If you want zero office pull, consider ElevenLabs (30+ countries, fully distributed) instead.

What is Runway ML's remote work policy in 2026?+

Runway’s remote work policy in 2026 is best described as “remote-friendly with a strong NYC hub.” The company has offices in Brooklyn (HQ at 201 Moore St), Manhattan (79 Walker St), San Francisco, Seattle, London, and Tel Aviv. Many engineering and applied research roles are genuinely available remotely across the US, but core research and creative roles often prefer or require New York. There is no mandated office requirement company-wide, but teams vary significantly in their in-person expectations.

Where are Runway ML's offices located?+

Runway has offices in Brooklyn, NY (headquarters at 201 Moore St), Manhattan, NY (79 Walker St), San Francisco, CA, Seattle, WA, London, UK, and Tel Aviv, Israel. New York is the primary hub where the founders, research leadership, and most core teams are based. San Francisco is a secondary engineering hub.

Can you work remotely at Runway from outside the US?+

Runway has international offices in London and Tel Aviv, but these are primarily in-office positions. The company does not currently offer a fully distributed, work-from-anywhere model for most roles. For remote AI creative work outside the US, ElevenLabs (30+ countries) is the strongest alternative — they are genuinely distributed with no single office dominating the culture.

What do Runway employees say about remote work?+

Glassdoor reviews are generally positive on culture (4.5 overall, 90% recommend) but split on remote work experience. Employees note that “remote working works well” for focused deep work, but that in-person collaboration in Brooklyn drives key creative decisions. Some reviewers flag that unlimited PTO was used to justify heavy overtime hours, and that the pace can be stressful. The NYC gravitational pull is most pronounced for research and design roles. See all [current Runway openings](https://jobsbyculture.com/jobs?company=runway).

How does Runway's remote policy compare to ElevenLabs, Synthesia, Pika, and OpenAI?+

ElevenLabs is the most remote-friendly peer — fully distributed across 30+ countries with hubs in NYC, London, and Warsaw. Synthesia is hybrid-distributed with a London base. Pika is a small, NYC-centric team that skews in-person. OpenAI is office-first (San Francisco HQ) with only selective remote roles. Runway sits between ElevenLabs and OpenAI: remote is genuinely possible for many roles, especially in engineering, but NYC is where the creative and research action is. See our [Runway culture profile](https://jobsbyculture.com/companies/runway) for the full picture.

### Browse Runway’s open roles

Filter by location, role type, and seniority. See which positions are remote-eligible across the US.

[See Runway Jobs →](https://jobsbyculture.com/jobs?company=runway) [Runway Compensation Guide →](https://jobsbyculture.com/blog/runway-compensation-2026)

---

## Document: Scale AI Compensation 2026: $234K–$642K+ Total Comp by Level

# Scale AI Compensation 2026: $234K–$642K+ Total Comp by Level

> Scale AI compensation in 2026: $234K-$642K+ total comp for engineers by level, $29B valuation, equity structure, and how Scale compares to Anthropic, OpenAI, and other AI infrastructure companies.

Source: https://jobsbyculture.com/blog/scale-ai-compensation-2026
Markdown: https://jobsbyculture.com/blog/scale-ai-compensation-2026.md
Last updated: 2026-07-14

---
[Scale AI](https://jobsbyculture.com/companies/scale) is the company that labels the data behind the biggest AI models in the world. Founded in 2016 by Alexandr Wang when he was 19, Scale has grown into a $29 billion AI infrastructure company with ~1,200 employees, $2B+ in projected annual revenue, and contracts with OpenAI, Meta, Microsoft, and the United States Department of Defense. If you’re considering a role at Scale, the first question is usually about compensation — and the numbers are strong.

We compiled verified compensation data from employee-reported salary databases, job postings, and our own research across 118 AI and tech companies to give you the clearest picture of what Scale AI pays in 2026 — by level, by role, and in context against comparable companies.

## Scale AI at a Glance

Founded

2016

Headquarters

San Francisco, CA

CEO

Alexandr Wang (age 27)

Company Size

~1,200 employees

Valuation

~$29B

Revenue

$2B+ (projected 2025)

Glassdoor Rating

3.5 / 5.0 (411 reviews)

Open Roles

174

$351K

Median Engineer TC

$29B

Valuation

174

Open Roles

## Software Engineer Compensation by Level

Here’s what Scale AI pays software engineers at each level, based on verified employee-reported compensation data. All figures are total compensation (base + equity + bonus) for US-based roles.

Level

Title

Total Comp

Years Exp

L3

Software Engineer

~$234K

0–2

L4

Software Engineer II

~$344K

2–5

L5

Senior Software Engineer

~$499K

5–10

L6

Staff Software Engineer

~$642K

8+

The jump from L4 to L5 is the steepest — a ~45% increase, largely driven by a significant equity ramp at the senior level. At L5 and above, equity typically represents 40–50% of total compensation, which means the value of your package is closely tied to Scale’s trajectory as a company.

For Staff+ roles, Scale’s publicly posted salary ranges confirm competitive base pay. A Staff Software Engineer role in hub locations (SF, NYC, Seattle) lists a base range of $248,400–$310,500. With equity and bonuses, total comp pushes well past $600K.

## How Scale Compares to Other AI Companies

Scale AI occupies an interesting position in the compensation landscape. It’s not a frontier AI lab like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai), nor is it a traditional enterprise SaaS company. It’s AI infrastructure — the picks and shovels of the AI gold rush. Here’s how its median engineer compensation stacks up:

Company

Median TC

Valuation

Culture

[OpenAI](https://jobsbyculture.com/companies/openai)

~$490K

$300B

Mission-Driven

[Anthropic](https://jobsbyculture.com/companies/anthropic)

~$405K

$61B

Safety-First

[Databricks](https://jobsbyculture.com/companies/databricks)

~$380K

$62B

Eng-Driven

**Scale AI**

**~$351K**

**$29B**

**Ship Fast**

[Palantir](https://jobsbyculture.com/companies/palantir)

~$320K

Public

Mission-Driven

[Datadog](https://jobsbyculture.com/companies/datadog)

~$310K

Public

Eng-Driven

Scale’s $351K median is competitive for an infrastructure company but sits below the frontier AI labs. The gap narrows at senior levels — Scale’s L6 comp of $642K+ is within striking distance of [Anthropic’s senior packages](https://jobsbyculture.com/blog/anthropic-compensation-2026). The key differentiator is Scale’s equity profile: at $29B with $2B+ revenue and strong government contracts, the equity has more tangible value than many pre-revenue AI startups, even if the moonshot upside is smaller than frontier lab equity.

## The Equity Story: $29B Valuation and Meta’s $14.3B Investment

Scale’s equity deserves its own section because it’s unusual. In early 2025, Meta invested approximately $14.3 billion for a 49% stake, pushing the valuation to $29 billion. This is a different animal from typical startup equity for several reasons:

-   **Revenue-backed valuation.** Scale’s $2B+ revenue means the $29B valuation is roughly 14x revenue — aggressive but defensible for a high-growth AI infrastructure company. Compare this to pre-revenue AI startups where the valuation is entirely forward-looking.
-   **Strategic anchor investor.** Meta’s 49% stake signals deep strategic alignment. Meta needs Scale’s data labeling infrastructure for its AI models (Llama family), which reduces downside risk — even in a market downturn, the Meta relationship provides a revenue floor.
-   **Government contracts.** Scale’s work with the US Department of Defense and other government agencies provides revenue diversification that pure-AI startups lack. Government contracts are typically multi-year and sticky.
-   **Liquidity considerations.** As a private company, Scale equity is not immediately liquid. However, the $29B valuation and Meta’s investment create a strong precedent for secondary market transactions, and the IPO path is plausible given the revenue scale.

For senior engineers receiving 40–50% of their comp in equity, the question isn’t whether Scale’s equity has value — it clearly does. The question is whether you believe Scale’s position as AI infrastructure (vs. building the models themselves) is durable. If AI labs increasingly build their own labeling and evaluation tools, Scale’s moat could narrow. If the market continues to need specialized data infrastructure at scale — which current trends strongly suggest — the equity upside is substantial.

## Machine Learning & Research Compensation

ML engineers and research scientists at Scale have a somewhat different compensation profile than software engineers. Based on available data, ML engineer compensation ranges from approximately $195K at L3 to $254K at L4. This is notably lower than the software engineering track at the same levels.

The gap likely reflects two factors: (1) Scale’s ML engineering roles may be more applied/evaluation-focused than the pure research roles at frontier labs, and (2) the sample size for ML-specific roles is smaller, which can skew the data. For ML engineers evaluating Scale, the compensation is competitive with applied ML roles at enterprise companies but below what [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026), [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026), or [Google DeepMind](https://jobsbyculture.com/blog/deepmind-compensation-2026) pay for comparable research-oriented positions.

## What Employees Say About Compensation

Employee Pro "Strong compensation for engineers — competitive base plus meaningful equity in a company with real revenue"

Employee Pro "Smart, driven coworkers solving hard problems at the intersection of data, AI, and government"

Employee Con "Work-life balance rated 2.7/5 — the comp is good but the hours are real, especially during client deadlines"

Employee Con "Inconsistent management quality across teams — your experience varies significantly by org"

Scale’s Glassdoor rating of 3.5/5.0 from 411 reviews is below the median for our [directory](https://jobsbyculture.com/companies). The 2.7 WLB score is one of the lowest we track, below even [Cognition](https://jobsbyculture.com/companies/cognition) (3.2) and [OpenAI](https://jobsbyculture.com/companies/openai) (3.3). Only 56% of employees recommend working there. The compensation is a genuine bright spot — but the trade-off is intensity, organizational growing pains from rapid scaling, and management quality that varies significantly by team.

## Glassdoor Ratings Breakdown

Overall Rating 3.5

Culture & Values 2.9

Work-Life Balance 2.7

Recommend to Friend 56%

The culture and values score of 2.9 is the most concerning metric. It suggests that while the work is interesting and the pay is strong, the day-to-day experience of working at Scale doesn’t consistently match what employees expect. Reviews cite organizational churn from rapid scaling, contractor workforce dynamics that complicate team cohesion, and inconsistent management — particularly in non-engineering functions.

## Is Scale AI Compensation Worth It?

The answer depends on what you’re optimizing for. Here’s how to think about it:

-   **If you want maximum cash comp:** Scale’s $351K median is strong but not the highest. [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026) and [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026) pay more. Consider those if raw compensation is your top priority.
-   **If you want equity with real revenue backing:** Scale’s $29B valuation is supported by $2B+ revenue, Meta’s strategic investment, and government contracts. This is more tangible than most startup equity — but less liquid than public company RSUs at [Datadog](https://jobsbyculture.com/companies/datadog) or [Palantir](https://jobsbyculture.com/companies/palantir).
-   **If you want work-life balance:** Look elsewhere. The 2.7 WLB score is a clear signal. Companies like [Notion](https://jobsbyculture.com/companies/notion) (4.2), [Linear](https://jobsbyculture.com/companies/linear) (4.4), or [PostHog](https://jobsbyculture.com/companies/posthog) (4.5) offer strong comp with better balance.
-   **If you want to work on AI infrastructure at massive scale:** Scale is one of the few companies where you’re building the data layer that powers the world’s largest AI models. The [product impact](https://jobsbyculture.com/values/product-impact) is real and measurable. If that excites you, the compensation is competitive enough to make the trade-offs worthwhile.

## Open Positions at Scale AI

Scale currently has **183 open positions**, spanning engineering, product, sales, and operations. For the full list with culture context, visit the [Scale AI culture profile](https://jobsbyculture.com/companies/scale).

## Frequently Asked Questions About Scale AI Compensation

How much do Scale AI software engineers make in 2026?+

Total compensation ranges from ~$234K at L3 to ~$642K+ at L6. The median across all levels is approximately $351K, including base salary, equity, and bonuses. At senior levels (L5+), equity represents 40–50% of total comp. See our full [AI engineer salary guide](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026) for cross-company comparisons.

What is Scale AI’s valuation in 2026?+

Scale AI is valued at approximately $29 billion following Meta’s ~$14.3B strategic investment for a 49% stake. Revenue grew from $870M in 2024 to a projected $2B+ in 2025, supporting the valuation with real revenue metrics.

How does Scale AI comp compare to Anthropic and OpenAI?+

Scale’s median engineer TC of ~$351K is competitive but below frontier AI labs. [Anthropic’s median is ~$405K](https://jobsbyculture.com/blog/anthropic-compensation-2026) and [OpenAI’s is ~$490K](https://jobsbyculture.com/blog/openai-compensation-2026). At staff level, the gap narrows — Scale’s L6 at $642K+ is comparable. Scale’s equity is backed by stronger revenue ($2B+) than most AI startups.

Does Scale AI offer equity or stock options?+

Yes. Equity is a significant component, especially at L5+. At a $29B valuation with $2B+ revenue and Meta’s strategic backing, the equity has tangible value. Liquidity depends on secondary market sales or an eventual IPO.

What is Scale AI’s Glassdoor rating?+

Scale has a 3.5/5.0 Glassdoor rating from 411 reviews. WLB is 2.7/5 and Culture & Values is 2.9/5 — both among the lowest in our [directory](https://jobsbyculture.com/companies). Only 56% of employees recommend it. Compensation is the strongest dimension, but the intensity is real. See the [full Scale profile](https://jobsbyculture.com/companies/scale).

How many open positions does Scale AI have?+

Scale AI currently has 183 open positions across engineering, product, sales, and operations. The company has ~1,200 employees and is actively hiring. Browse all [Scale AI jobs](https://jobsbyculture.com/jobs?company=scale) with culture context.

### Browse Scale AI’s 183 Open Roles

See compensation context, culture values, and employee reviews alongside all of Scale’s current openings.

[View Scale AI Profile →](https://jobsbyculture.com/companies/scale) [Browse Scale AI Jobs →](https://jobsbyculture.com/jobs?company=scale)

---

## Document: Scale AI Glassdoor Reviews Decoded 2026: What 411 Employees Really Say | JobsByCulture

# Scale AI Glassdoor Reviews Decoded 2026: What 411 Employees Really Say | JobsByCulture

> Scale AI

Source: https://jobsbyculture.com/blog/scale-glassdoor-reviews-2026
Markdown: https://jobsbyculture.com/blog/scale-glassdoor-reviews-2026.md
Last updated: 2026-07-14

---
Scale AI builds the data infrastructure — labeling, evaluation, and RLHF pipelines — that powers frontier models. Often called the "picks and shovels" of the AI boom, its customers have included OpenAI, Meta, and the U.S. government.

Scale AI carries a 3.6 overall Glassdoor rating across 411 reviews — one of the larger review bases among AI companies, which makes the signal unusually reliable. The picture that emerges is a high-growth, high-intensity environment where career upside and day-to-day workload pull hard in opposite directions. The 411-review sample size means these patterns aren't noise — they're the consistent experience.

Below is the full breakdown, cross-referenced against our [Scale AI culture profile](https://jobsbyculture.com/companies/scale). Every figure here was checked against Glassdoor's own page this cycle — we don't recycle stale numbers, and we don't invent sub-scores that aren't published.

## The Numbers at a Glance

3.6 / 5.0

Overall Glassdoor Rating — 411 Reviews

Career Opportunities 3.8

Culture & Values 3.1

Work-Life Balance 2.9

Metric

Detail

Overall Rating

3.6 / 5.0

Total Reviews

411

Recommend to a Friend

63%

Highest Sub-Score

Career Opportunities (3.8)

Lowest Sub-Score

Work-Life Balance (2.9)

## How to Read Scale AI's 3.6 Rating

A single number hides as much as it reveals. Scale AI's 3.6 puts it in the middle of the pack — neither a standout nor a red flag on its own. Across the companies we've verified directly on Glassdoor this cycle, 2 of 3 rate higher. The more useful signal is the _shape_ of the scores — where the gap between the highest and lowest sub-score tells you what kind of trade-off you're signing up for. We re-verify every figure against Glassdoor's own page rather than recycling cached numbers, because review-based ratings drift as volume grows.

## What Employees Love (The Pros)

The positive themes across Scale AI's reviews are consistent. Here's what comes up most often.

### 1\. Career growth is the standout

What employees value Career growth is the standout

Career Opportunities is Scale's highest verified sub-score at 3.8/5. Reviewers cite rapid scope expansion, exposure to frontier AI problems, and the brand value of the company on a résumé. For people early-to-mid career who want to accelerate, that trajectory is the main draw.

### 2\. A front-row seat to the data layer of AI

What employees value A front-row seat to the data layer of AI

Scale sits underneath much of the modern AI stack — its customers have included OpenAI, Meta, and the U.S. government. Reviewers describe genuinely high-stakes, technically interesting work that's hard to get exposure to anywhere else.

### 3\. Strong compensation for engineers

What employees value Strong compensation for engineers

Engineering compensation is repeatedly called competitive — solid base plus equity in a company at the center of the AI infrastructure market. Comp is one of the more consistent positives even among critical reviews.

### 4\. Smart, driven colleagues

What employees value Smart, driven colleagues

The talent bar comes up often: ambitious, capable peers working on hard problems. For people who are energized by intensity and high standards, the colleague quality is a real pull.

## What Employees Warn About (The Cons)

No workplace is perfect. These are the recurring criticisms in Scale AI's reviews — the things worth pressure-testing in your interview.

### 1\. Work-life balance is the clear weak point

What employees flag Work-life balance is the clear weak point

At 2.9/5, work-life balance is Scale's lowest verified sub-score. Long-hours feedback — especially around client and model-delivery deadlines — is the most recurring theme, and one prominent review framed the company as worth considering 'with caution.'

### 2\. Culture under strain from rapid change

What employees flag Culture under strain from rapid change

Culture & Values sits at 3.1/5, and a 63% recommend rate is middling. Reviewers point to inconsistent management quality across teams and frequent reorganization as growth accelerates.

### 3\. Growing pains from rapid scaling

What employees flag Growing pains from rapid scaling

Scaling this fast creates friction — shifting priorities, evolving structure, and uneven manager experiences depending on which team you land on. Your day-to-day can vary a lot by org.

### 4\. A complex, contractor-heavy workforce

What employees flag A complex, contractor-heavy workforce

Scale's model involves a large contractor and operations workforce alongside its core teams, which some reviewers say adds organizational complexity and can blur how teams collaborate.

## What About Compensation?

Compensation is one of the dimensions candidates ask about most for Scale AI. For the full numbers — base, equity, and how packages compare to peers — see our full [guide to working at Scale AI](https://jobsbyculture.com/blog/working-at-scale-2026).

## How Scale AI Compares

Here's Scale AI against the other companies we've verified directly on Glassdoor this cycle. Ratings move as review volume grows, so treat this as a snapshot, not a permanent ranking.

Company

Glassdoor Rating

[Ramp](https://jobsbyculture.com/companies/ramp)

4.2 / 5.0

[Glean](https://jobsbyculture.com/companies/glean)

3.8 / 5.0

Scale AI (this page)

3.6 / 5.0

[Cohere](https://jobsbyculture.com/companies/cohere)

3.0 / 5.0

For the full landscape, browse our [culture directory of 118 companies](https://jobsbyculture.com/companies) or [compare any two cultures side by side](https://jobsbyculture.com/compare).

## Who Should (and Shouldn't) Apply

**A strong fit:** Scale AI suits people optimizing for career velocity and proximity to frontier AI who can absorb a demanding pace. The 3.8 career-opportunities score and marquee customers are real advantages; the 411-review sample makes the upside credible.

**Think twice if:** If you weight work-life balance and cultural stability highly, the verified 2.9 WLB and 3.1 culture sub-scores — across a large, reliable review base — are a genuine flag, not a rounding error.

## Questions to Ask in Your Scale AI Interview

The cons above aren't reasons to walk away — they're reasons to ask sharper questions. Use these to pressure-test whether the trade-offs apply to the specific team you'd join:

-   What does work-life balance look like on this specific team during a delivery deadline?
-   How long has my prospective manager been in the role, and how is management consistency handled across teams?
-   How has the team's structure or priorities changed in the last year?

## Frequently Asked Questions

What is Scale AI's Glassdoor rating in 2026?+

Scale AI has a 3.6 out of 5.0 Glassdoor rating based on 411 employee reviews. Verified sub-scores: Career Opportunities 3.8/5, Culture & Values 3.1/5, Work-Life Balance 2.9/5, and 63% of employees recommend working there. See our full [Scale AI culture profile](https://jobsbyculture.com/companies/scale).

Is Scale AI a good place to work?+

Scale AI suits people optimizing for career velocity and proximity to frontier AI who can absorb a demanding pace. The 3.8 career-opportunities score and marquee customers are real advantages; the 411-review sample makes the upside credible. If you weight work-life balance and cultural stability highly, the verified 2.9 WLB and 3.1 culture sub-scores — across a large, reliable review base — are a genuine flag, not a rounding error.

What is work-life balance like at Scale AI?+

Scale AI's work-life balance is rated 2.9/5 on Glassdoor — one of its lower sub-scores across 411 reviews.

How does Scale AI compare to other AI companies?+

Compare Scale AI against 118 companies in our [culture directory](https://jobsbyculture.com/companies), or run a side-by-side in our [culture comparison tool](https://jobsbyculture.com/compare).

### Explore Scale AI on JobsByCulture

Browse open roles and dig into the full culture profile, ratings, and values.

[See Scale AI Culture Profile →](https://jobsbyculture.com/companies/scale) [Browse Scale AI Jobs →](https://jobsbyculture.com/jobs?company=scale)

### Browse 14,000+ AI & Tech Jobs

Find your next role at Scale AI or any of the 118 companies in our culture directory.

[Browse All Jobs →](https://jobsbyculture.com/jobs) [Explore Culture Directory →](https://jobsbyculture.com/companies)

---

## Document: Snowflake Compensation in 2026: Engineer Salaries, RSUs & What the Stock Crash Means for Your Offer

# Snowflake Compensation in 2026: Engineer Salaries, RSUs & What the Stock Crash Means for Your Offer

> Snowflake compensation in 2026: $238K-$927K+ total comp for engineers. Real salary data by level, how RSU vesting works with SNOW stock down 20% YTD, and how it compares to Databricks, Anthropic, OpenAI, and Stripe.

Source: https://jobsbyculture.com/blog/snowflake-compensation-2026
Markdown: https://jobsbyculture.com/blog/snowflake-compensation-2026.md
Last updated: 2026-07-14

---
TL;DR — Key Takeaways

-   Snowflake engineers earn **$238K–$927K+ total comp**, with a median around **$353K–$430K** based on verified employee-reported compensation data.
-   SNOW stock is currently trading around **$174, down 20.5% YTD**. Analyst consensus target is ~$240 — meaning RSU grants at today’s price carry meaningful upside if the stock recovers.
-   RSUs vest over **4 years** and are **immediately liquid** since Snowflake is publicly traded — a key advantage over pre-IPO peers like Databricks.
-   Glassdoor overall: **3.7/5.0**. Work-life balance: **3.4/5**. CEO Sridhar Ramaswamy is newer (Feb 2024) — culture is still evolving under his leadership.

In This Article

1.  [Quick Stats at a Glance](#glance)
2.  [The Real Question: Is This Offer Still Worth It?](#the-real-question)
3.  [Compensation by Level (IC1–IC5)](#comp-by-level)
4.  [RSU Mechanics & the Stock Price Problem](#rsu-mechanics)
5.  [Culture Trade-offs for High Comp](#culture-tradeoffs)
6.  [Glassdoor Ratings & What Employees Say](#glassdoor-ratings)
7.  [How Snowflake Compares to Peers](#comparison)
8.  [Benefits & Perks](#benefits)
9.  [How to Negotiate a Snowflake Offer](#negotiation)
10.  [Who Should (and Shouldn’t) Join](#who-should-join)
11.  [Frequently Asked Questions](#faq)

[Snowflake](https://jobsbyculture.com/companies/snowflake) has long been one of the highest-paying companies in enterprise data infrastructure. The cloud data platform powers the largest data warehouses in the world — and it has paid engineers accordingly, with total compensation packages well above industry median. But 2026 has complicated the picture significantly.

SNOW stock is down approximately 20.5% year-to-date, trading around $174 against analyst consensus targets of roughly $240. CEO Sridhar Ramaswamy, who took over from Frank Slootman in February 2024, is still establishing his strategic vision. Revenue grew past $3.4B in FY2025, but growth rates have slowed from the hypergrowth days. All of this has a direct impact on the real value of any RSU-heavy compensation package.

This is not a straightforward compensation story. It requires editorial judgment: when is a Snowflake offer worth taking in 2026, when should you negotiate differently because of the stock, and when does it make more sense to choose Databricks, Anthropic, or Stripe instead?

## Quick Stats at a Glance

Component

Detail

Company

Snowflake Inc.

Ticker

NYSE: SNOW

Employees

~7,000

Revenue (FY2025)

$3.4B+

Current stock price

~$174 (down 20.5% YTD in 2026)

Analyst consensus target

~$240

Glassdoor overall

3.7 / 5.0 (1,034 reviews)

Work-Life Balance

3.4 / 5.0

Culture & Values

3.6 / 5.0

Career Opportunities

3.6 / 5.0

CEO

Sridhar Ramaswamy (since Feb 2024)

HQ

Bozeman, MT (with major offices in SF, Bellevue, global)

Engineer TC range

~$238K (IC1) to $927K+ (IC5)

Median SWE TC

~$353K–$430K

25th percentile TC

~$230K

90th percentile TC

~$700K

Target bonus

~15% of base salary

Equity type

RSUs (public, 4-year vest, immediately liquid)

$353K

Median SWE total comp (US)

−20.5%

SNOW stock YTD in 2026

$240

Analyst consensus price target

## The Real Question: Is This Offer Still Worth It?

Let’s address what every engineer evaluating a Snowflake offer is actually asking: _does the stock drop change the calculus?_

The answer depends entirely on your time horizon and what you compare Snowflake against. Here’s the honest framework:

**If you’re receiving a new offer today at ~$174/share,** you’re being granted RSUs at a relatively depressed price. If SNOW recovers to analyst targets around $240 over your 4-year vesting period, that’s a ~38% return on the share price component alone — before any additional company growth. In that scenario, joining now is actually favorable versus joining when the stock was at $220+.

**If you joined 12–18 months ago with grants at $180–$220,** your RSUs are delivering less than expected at current prices. This is the painful reality of RSU compensation at any public company with a volatile stock. Snowflake’s 20% decline has effectively cut the realized value of unvested grants by 20% versus expectations.

**Versus Databricks:** Databricks pays higher headline numbers at equivalent levels, but RSUs are illiquid pre-IPO. If you need cash in hand when shares vest, Snowflake’s public RSUs win. If you’re willing to hold for the IPO event, Databricks’ upside may be larger.

The bottom line: Snowflake is still a very well-paying company with immediately liquid equity. The stock decline is a risk factor to model, not a reason to walk away from an otherwise strong offer. Negotiate accordingly — and we’ll show you exactly how below.

Important Context

RSU compensation at any public company ties your realized earnings to stock performance. When evaluating a Snowflake offer, always model your actual expected TC using the _current share price_ ($174), then separately consider the upside scenario if the stock reaches analyst targets. Never accept the dollar value of an RSU grant at face value without checking the current share price.

## Compensation by Level (IC1–IC5)

Snowflake uses an IC (Individual Contributor) leveling system from IC1 (junior) to IC5 (principal). The company also has engineering manager tracks that run in parallel. The figures below are based on verified employee-reported compensation data as of May 2026, using SNOW stock price of approximately $174.

Level

Title

Base Salary (est.)

Total Comp

IC1

Software Engineer (Junior)

$145K–$170K

~$238K

IC2

Software Engineer (Mid)

$180K–$215K

$290K–$350K

IC3

Senior Software Engineer

$210K–$250K

$350K–$450K

IC4

Staff Software Engineer

$250K–$310K

$500K–$700K

IC5

Principal Software Engineer

$300K–$380K

$700K–$927K+

A concrete IC3 offer example (reported Q1 2026): $225K base + $520K RSU grant over 4 years ($130K/yr at current stock price) + $33K target bonus = approximately $388K/year in total compensation. This is consistent with the IC3 range of $350K–$450K.

Backend engineers across all levels have a median total comp of approximately $334K, slightly below the overall SWE median due to the mix of levels sampled. The highest-paying roles by specialty are in data infrastructure, query optimization, and Snowpark (Snowflake’s developer framework). Machine learning and AI-adjacent engineering roles are increasingly competitive given Sridhar Ramaswamy’s push to position Snowflake in the AI era.

See what Snowflake is actively hiring for now. [Browse open Snowflake roles →](https://jobsbyculture.com/jobs?company=snowflake)

## RSU Mechanics & the Stock Price Problem

Understanding exactly how Snowflake RSUs work — and why the current stock price matters so much — is the most important thing you can do before accepting or negotiating an offer.

### How Snowflake RSUs Work

-   **4-year vesting schedule.** Snowflake RSUs vest over four years. The typical schedule is 25% after year one, with monthly or quarterly vesting thereafter. Some senior hire grants may vest on a different front-loaded schedule — verify with your offer letter.
-   **Immediately liquid upon vesting.** This is Snowflake’s biggest advantage over Databricks, OpenAI, and other pre-IPO peers. When your RSUs vest, you receive actual publicly traded SNOW shares that can be sold same-day on the open market. No IPO required, no tender offer to wait for.
-   **Grant value is in shares, not dollars.** If your offer letter says “$600K in RSUs,” that means you’re getting a number of shares calculated at the stock price at grant time. If SNOW was at $200 when you got the grant, you received 3,000 shares. At today’s price of $174, those 3,000 shares are worth $522K — not $600K.
-   **Annual refresher grants.** Strong performers receive annual RSU refresher grants based on performance ratings. Refreshers are priced at the current stock price when issued — which at $174 today means your refresher shares have the same recovery upside as your initial grant.
-   **Equity withholding for taxes.** When shares vest, Snowflake automatically withholds shares to cover federal and state income taxes (typically 37–45% of vested shares depending on your tax situation). Plan accordingly — your net shares received will be meaningfully fewer than the gross vesting amount.

~$240

Analyst consensus price target for SNOW — vs. today’s ~$174. Recovery to target would mean ~38% upside on RSU grants.

### What the Stock Drop Actually Means for Your Offer

There are three distinct groups of Snowflake employees, and the stock drop affects each differently:

**Group 1: Employees with grants from 2022–2023 (stock was $150–$230).** Those grants are roughly at parity or above today’s price depending on exact timing. If you joined during the post-COVID valuation reset, your unvested RSUs may still carry upside versus your grant price.

**Group 2: Employees with grants from late 2023–2024 (stock was $180–$240).** This cohort has seen the biggest impact from the 2026 decline. Unvested RSUs are worth 10–25% less at current prices than when granted. This is the group most likely to be shopping competing offers right now.

**Group 3: New hires receiving grants at current prices (~$174).** This is the most interesting group. Getting in at a depressed price means your RSU upside is disproportionately larger if SNOW recovers. Analyst consensus targets of $240 represent 38% upside from here — and that recovery would be pure gain on top of your vesting schedule.

The strategic implication: if you are evaluating a Snowflake offer right now, ask for a larger share count rather than a higher dollar value. “Give me 15% more shares” is a better negotiating frame than “give me 15% more RSU value” — because more shares gives you more upside if the stock recovers.

Pro — Employee review “The equity package is legitimately strong, and the RSUs vest into real shares you can sell. I’ve been here 3 years and the pay has been consistently above what I was making at my previous employer even with the stock fluctuations.”

Con — Employee review “The stock drop has hurt. When I joined, my RSU grant was worth more. The refreshers help but they’re priced at the same depressed price, so it takes time. If you need predictable income, the base salary is solid but the equity story is bumpy.”

Related Reading

-   [RSU vs. Stock Options Explained: Which Is Better for Engineers in 2026?](https://jobsbyculture.com/blog/rsu-vs-stock-options-explained-2026)
-   [Databricks Compensation 2026: Salary, Pre-IPO Equity & How It Compares](https://jobsbyculture.com/blog/databricks-compensation-2026)
-   [Highest-Paying AI & Data Companies in 2026: Full Ranking](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

## Culture Trade-offs for High Comp

Snowflake doesn’t make it easy. The compensation is real and well above most industry benchmarks — but it comes with meaningful trade-offs that any engineer should understand before joining.

**The pace is intense.** A work-life balance score of 3.4/5 isn’t catastrophic, but it’s consistently below the median for well-compensated tech companies. Reviews describe a fast-moving, execution-oriented environment where the pressure to ship is real. This is an engineering-driven culture that expects results — and the compensation reflects that.

**The CEO transition is still settling.** Frank Slootman, who led Snowflake through its record $3.4B IPO in 2020 and a decade of hypergrowth, handed off to Sridhar Ramaswamy in February 2024. Ramaswamy comes from Google Ads and Neeva (acquired by Snowflake). The culture transition from Slootman’s hard-charging sales-led growth model to Ramaswamy’s more product and AI-forward approach is still underway. Glassdoor scores in late 2024–2025 reflect some uncertainty during this transition.

**Culture & Values score of 3.6 tells a nuanced story.** This is not a company famous for psychological safety or radical transparency. It’s a company famous for technical excellence, customer obsession, and competitive compensation. If you’re looking for a flat startup where everyone debates strategy together, Snowflake is not that. If you want to work on world-class data infrastructure problems with smart colleagues and be paid extremely well for it, the culture fit is strong.

**Career development is real but uneven.** A career opportunities score of 3.6/5 means that growth paths exist — particularly into staff and principal engineering roles — but they aren’t automatic. High performers who stay 3+ years can build substantial equity positions through annual refreshers. Employees who plateau or struggle to navigate internal politics may find the path forward less clear.

## Glassdoor Ratings & What Employees Say

Based on 1,034 employee reviews, here is how Snowflake rates across key dimensions:

Overall

3.7

Work-Life Balance

3.4

Culture & Values

3.6

Career Opportunities

3.6

What employees actually say in reviews paints a consistent picture. The most common pros: outstanding compensation, brilliant colleagues, interesting technical problems, and a product that genuinely matters to enterprise customers. The most common cons: high pressure, long hours on some teams, organizational churn during the CEO transition, and the stock volatility dampening the equity story.

Pro — Employee review “Easily the highest-paying job I’ve had. The technical problems are genuinely hard and interesting. The team is full of people who were engineers at Google, Meta, and AWS. If you want to work with the best, it’s hard to beat.”

Con — Employee review “The pace is real. There’s a lot of pressure to deliver and the expectations are high. Leadership changes have created some uncertainty. Not a place where you coast.”

Pro — Employee review “Sridhar has a clearer product vision than I expected when he joined. The AI direction is making more sense now, and I think the stock story will improve over the next 2 years if they execute.”

## How Snowflake Compares to Peers

Snowflake competes for engineering talent primarily with Databricks (the most direct competitor in data infrastructure), frontier AI labs (Anthropic, OpenAI), and premium public companies (Stripe, Google). Here is how the compensation and profile compares:

Company

Median SWE TC

Glassdoor

Equity Type

WLB Score

[Snowflake](https://jobsbyculture.com/companies/snowflake)

$353K–$430K

3.7 / 5

RSUs (public, liquid)

3.4

[Databricks](https://jobsbyculture.com/blog/databricks-compensation-2026)

$504K (median)

4.0 / 5

RSUs (pre-IPO)

3.4

Anthropic

$450K–$600K+

4.5 / 5

RSUs (pre-IPO)

4.0+

OpenAI

$450K–$650K

4.1 / 5

PPUs (pre-IPO)

3.8

Stripe

$300K–$400K

4.1 / 5

RSUs (pre-IPO)

3.9

The pattern is clear. Snowflake’s compensation is competitive but not at the top of this peer group. Databricks, Anthropic, and OpenAI all offer higher headline numbers — but all three are pre-IPO, meaning their equity carries illiquidity risk. Snowflake’s publicly liquid RSUs are a genuine advantage for candidates who need or prefer cash-equivalent compensation as shares vest.

Against Stripe — another well-regarded pre-IPO option — Snowflake pays comparably or slightly higher at mid-to-senior levels, but Stripe has a meaningfully better Glassdoor score and WLB rating. For engineers who value both high pay _and_ culture quality, this comparison is particularly instructive.

The most honest framing: Snowflake is the right choice if you specifically want **publicly liquid RSUs at competitive pay in the data infrastructure space**. If your priorities are different (maximum upside potential, best overall culture, highest headline numbers), other options may serve you better. Use the [culture comparison tool](https://jobsbyculture.com/compare) to put these side by side.

## Benefits & Perks

Snowflake’s benefits package covers the standard enterprise tech expectations with a few notable points:

-   **Health insurance:** Comprehensive medical, dental, and vision coverage for employees and eligible dependents. Generally rated positively in reviews.
-   **RSU equity grants:** 4-year vesting schedule with immediately liquid public shares as described above. Annual refresher grants for strong performers.
-   **Annual performance bonus:** Target of approximately 15% of base salary, tied to individual performance ratings and company revenue metrics.
-   **401(k) plan:** Snowflake offers a 401(k) plan. Confirm current employer match terms with your recruiter — this has been an area of change as the company has grown.
-   **Flexible PTO:** Unlimited / flexible paid time off policy. Reviews suggest actual time-off culture varies by team; the 3.4 WLB score suggests some teams are genuinely demanding.
-   **Professional development:** Learning and development resources are available, consistent with the “learning” culture value. Conference sponsorship varies by team and level.
-   **Remote and hybrid options:** Snowflake has maintained a hybrid posture across many teams post-pandemic. Core offices are in San Francisco, Bellevue, and Bozeman. Remote eligibility varies significantly by role — confirm for your specific position.
-   **Parental leave:** Paid parental leave is offered. Specifics vary by location and employment status.

## How to Negotiate a Snowflake Offer

Snowflake offers are negotiable, and the stock situation actually gives you additional leverage that candidates rarely use effectively. Here’s how to approach it:

-   **Negotiate for more shares, not just more dollars.** This is the key insight in 2026. If SNOW stock is at $174 and your offer letter says “$500K in RSUs,” that’s approximately 2,874 shares. Ask for 15–20% more shares. At $174 each, the grant is still affordable for Snowflake — and if the stock reaches the $240 analyst target, your additional shares gain significant value. Frame it as: “Given the current stock price, I’d like to ensure I have more exposure to the recovery story.”
-   **Use competing offers from the right companies.** Databricks, Anthropic, OpenAI, or even Google are your best leverage. An offer from Databricks at significantly higher numbers gives you a real alternative to point to. Be honest — recruiters know their comp ranges and will respond to genuine competing offers.
-   **Base salary is more negotiable than it looks.** Unlike some companies where base salary is highly standardized, Snowflake has shown flexibility on base particularly at IC3 and IC4 levels. A strong competing offer can move the base up by $15K–$30K, which has compounding effects on bonus (usually a percentage of base) and future performance reviews.
-   **Signing bonus for unvested equity.** If you’re leaving unvested RSUs or options at your current employer, ask Snowflake for a signing bonus to offset the unvested value. This is standard practice and Snowflake commonly accommodates it for IC3+ candidates.
-   **Ask about refresher cadence and amounts.** Understanding how annual refresher grants work — and what typical refresher grant sizes are at your target level — gives you a clearer picture of your long-term comp trajectory. A recruiter who answers this question confidently is a good sign about the company’s compensation transparency.
-   **Push for level if your experience supports IC4.** The difference between IC3 ($350K–$450K) and IC4 ($500K–$700K) total compensation is enormous. If your experience is on the cusp, make the case during the interview process. Getting leveled correctly is the highest-value negotiation you can make — more impactful than any negotiation within a fixed level.

## Who Should (and Shouldn’t) Join Snowflake

A Snowflake offer in 2026 is genuinely strong — but it’s not the right choice for everyone. Here’s how to think about fit:

### Join Snowflake if…

-   You want **publicly liquid RSUs** with no IPO waiting game. Vested shares = cash equivalent from day one.
-   You want to work on **hard data infrastructure problems** at global enterprise scale. Snowflake’s data warehousing, Iceberg integration, and Snowpark development are genuinely technically interesting.
-   You value **compensation certainty**. The base salaries are strong, and the 15% target bonus adds predictable cash on top.
-   You believe in the **Sridhar Ramaswamy AI pivot** and think the stock will recover toward analyst targets. Joining at a depressed price with that thesis is a legitimate bet.
-   You have **5+ years of experience in data systems, cloud infrastructure, or distributed systems**. Snowflake hires disproportionately at IC3–IC4 in these areas and pays accordingly.

### Look elsewhere if…

-   You prioritize **work-life balance above all**. A 3.4 WLB score is a consistent signal from many employees, not a fluke. If you have family commitments or want genuine downtime, factor this in.
-   You want **maximum upside potential**. If the pre-IPO bet appeals to you and you can handle illiquidity, Databricks at $134B valuation has more rocket-ship potential. Anthropic and OpenAI are in that conversation too.
-   You care deeply about **cultural values scores**. Snowflake’s 3.6 on Culture & Values and 3.7 overall are below average for premium tech companies. The culture is real but it’s execution-focused rather than values-forward.
-   You’re early career and want a **strong mentorship environment**. Snowflake excels at hiring experienced engineers — the mentorship and onboarding investment for junior engineers is more variable.

### Our Verdict: Snowflake Compensation in 2026

Snowflake remains one of the best-paying companies in data infrastructure, with IC3–IC5 compensation that genuinely competes with the best in tech. The 20% stock decline is a real factor — but for new hires receiving grants at today’s depressed price, it may actually be an advantage if the company executes on Sridhar Ramaswamy’s AI roadmap. The unique value proposition is public liquidity: Snowflake RSUs convert to sellable shares on vesting day, which no pre-IPO competitor can match. The honest trade-offs are intensity (WLB 3.4/5) and a culture more focused on execution than employee experience (overall 3.7/5). If you can navigate the pace and you believe in the data infrastructure market, Snowflake is worth taking seriously. Negotiate for more shares at current prices — that’s the single best move you can make with this offer. See the full [Snowflake culture profile](https://jobsbyculture.com/companies/snowflake) and all [open roles](https://jobsbyculture.com/jobs?company=snowflake) to explore further.

## Frequently Asked Questions

What is the average salary at Snowflake in 2026?+

The median total compensation for a software engineer at Snowflake is approximately $353K–$430K per year, based on verified employee-reported compensation data. Total comp ranges from roughly $238K at the junior IC1 level to over $927K at the IC5 principal level. These figures include base salary, RSU equity grants (valued at the current SNOW stock price of approximately $174), and a target annual bonus of approximately 15% of base salary. The 25th percentile is around $230K and the 90th percentile reaches approximately $700K.

How does Snowflake RSU vesting work?+

Snowflake grants RSUs (Restricted Stock Units) that vest over a 4-year period. Since Snowflake is publicly traded (NYSE: SNOW), RSUs convert to liquid shares on your vesting date — you can sell them immediately on the open market. This is a key advantage over pre-IPO companies where equity is locked until a liquidity event. The main risk is stock price volatility: SNOW is down approximately 20.5% YTD in 2026, trading around $174 vs. analyst consensus targets near $240. If you received a grant at a higher price, your vesting shares are delivering less dollar value than originally projected.

How much does a Snowflake software engineer make?+

Snowflake software engineer total compensation ranges from approximately $238K at IC1 (junior) to $927K+ at IC5 (principal), based on verified employee-reported data. A mid-level IC2 engineer earns roughly $290K–$350K total comp. A senior IC3 engineer earns approximately $350K–$450K. Staff engineers (IC4) reach $500K–$700K. Backend engineers across all levels have a median around $334K. See all current [Snowflake job openings](https://jobsbyculture.com/jobs?company=snowflake) for current role availability.

Does Snowflake pay more than Databricks?+

Databricks generally offers higher headline total compensation at equivalent levels — with a median senior engineer TC of $673K versus Snowflake’s $350K–$450K at IC3. However, Snowflake has a critical advantage: public liquidity. Snowflake RSUs convert to sellable SNOW shares on vesting day. Databricks RSUs are pre-IPO and require a liquidity event (IPO or tender offer) to monetize. For engineers who want cash-equivalent equity on a predictable schedule, Snowflake’s public RSUs may be more valuable despite the lower headline numbers.

Is SNOW stock worth it in 2026? Should the stock drop affect my offer decision?+

SNOW stock is down approximately 20.5% YTD in 2026, trading near $174 against analyst consensus targets of roughly $240. For new hires receiving RSU grants at today’s price, this is actually a potentially favorable entry point — more upside if the stock recovers versus joining at $220+. Always calculate your actual expected TC using the current share price rather than the grant’s stated dollar value, and model the upside scenario separately. If the stock recovers to analyst targets, the gain would be meaningful for grants priced at today’s levels.

What benefits does Snowflake offer?+

Snowflake offers comprehensive benefits including medical, dental, and vision coverage; RSU equity grants with 4-year vesting into publicly liquid shares; annual performance bonuses targeting approximately 15% of base salary; a 401(k) plan; flexible PTO; and professional development resources. Benefits are generally rated positively by employees, though the overall Glassdoor rating of 3.7/5 and work-life balance score of 3.4/5 indicate the pace can be demanding. Confirm 401(k) match details with your recruiter as terms have changed over time.

Can you negotiate a Snowflake offer?+

Yes, Snowflake offers are negotiable. The most effective strategy in 2026 is to negotiate for more shares rather than more stated dollar value — getting in at the depressed $174 stock price means additional shares carry more recovery upside. Competing offers from Databricks, Anthropic, or OpenAI are the strongest leverage. You can also negotiate base salary (particularly at IC3–IC4), signing bonus for unvested equity left at your current employer, and level (which has the largest impact on total comp). See the [full negotiation section](#negotiation) above for detailed tactics.

### Explore Snowflake roles & culture

See all open positions, Glassdoor ratings, culture values, and compensation context in one place.

[Browse Snowflake Jobs →](https://jobsbyculture.com/jobs?company=snowflake) [View Culture Profile →](https://jobsbyculture.com/companies/snowflake)

---

## Document: Spotify Compensation in 2026: Engineer Salaries, Equity & Total Comp

# Spotify Compensation in 2026: Engineer Salaries, Equity & Total Comp

> Spotify compensation breakdown for 2026: $138K-$387K total comp for engineers, pick-and-mix equity, RSU vs stock options explained, and how it compares to other top tech companies.

Source: https://jobsbyculture.com/blog/spotify-compensation-2026
Markdown: https://jobsbyculture.com/blog/spotify-compensation-2026.md
Last updated: 2026-07-14

---
[Spotify](https://jobsbyculture.com/companies/spotify) occupies a peculiar position in the compensation landscape. It’s a $100B+ public company with 7,300 employees, genuine engineering challenges at planetary scale, and one of the best work-life balance ratings in tech (4.3/5). But if you compare raw total comp numbers to Google or Meta at equivalent levels, Spotify falls 10–20% short. The question every candidate wrestles with: is the lifestyle worth the pay cut?

We analyzed verified compensation data from employee-reported salaries, Spotify’s public compensation philosophy, and the details of their unique “Incentive Mix” program to build a complete picture. Whether you’re negotiating an offer, benchmarking your current comp, or comparing Spotify to other companies in our [Culture Directory](https://jobsbyculture.com/companies), here’s everything you need to know.

## Compensation at a Glance

$275K

Median Engineer TC (US)

3.9 / 5

Comp & Benefits Rating

4.3 / 5

Work-Life Balance

That median of ~$275K in total compensation for a US-based Software Engineer tells one story. The 3.9 comp rating — lowest among Spotify’s Glassdoor sub-scores — tells another. Employees know they could earn more elsewhere. They choose to stay anyway. Understanding why requires looking beyond the base salary.

## Engineer Compensation by Level

Spotify uses an internal band system that roughly maps to industry-standard engineering levels. Here’s what verified compensation data shows for US-based engineers in 2026:

Level

Base Salary

Total Comp

Comparable To

Associate Engineer

$110K – $135K

$138K – $170K

Google L3, Meta E3

Engineer I–II

$140K – $180K

$180K – $250K

Google L4, Meta E4

Senior Engineer

$175K – $220K

$250K – $320K

Google L5, Meta E5

Staff Engineer

$210K – $260K

$320K – $387K+

Google L6, Meta E6

Engineering Manager

$200K – $260K

$295K – $357K+

M1–M2

ML Engineer

$160K – $230K

$176K – $368K+

Varies by level

The spread at each level is significant. A Senior Engineer at $250K and one at $320K are both “Senior” — the difference comes down to location (NYC vs. Stockholm), how they’ve allocated their Incentive Mix (more on that below), and negotiation leverage at hire. ML Engineers command a premium, particularly those working on Spotify’s recommendation systems, which directly drive the company’s core product experience.

## The Pick-and-Mix: Spotify’s Unique Equity Program

This is the most interesting part of Spotify’s compensation philosophy, and the piece most candidates don’t fully understand until they receive an offer.

Spotify’s “Incentive Mix” program lets you choose how to receive your variable compensation. Rather than giving everyone RSUs (like Google) or a fixed cash bonus (like some banks), Spotify lets you allocate percentages across four options:

-   **Cash.** Straightforward additional cash compensation, paid out on a schedule.
-   **RSUs.** Restricted Stock Units that vest quarterly. The most common choice for employees who want straightforward equity upside with minimal risk.
-   **At-the-money stock options (ATM NSOs).** Options priced at the current stock price. Higher potential upside than RSUs if the stock appreciates significantly, but worth $0 if the stock drops below your strike price.
-   **Out-of-the-money stock options (OTM NSOs).** Options priced above the current stock price. Maximum leverage if you’re deeply bullish on Spotify stock, but higher risk — they only become valuable if the stock meaningfully outperforms.

This flexibility is genuinely unusual in tech. Most companies give you RSUs and you take what they give you. Spotify’s approach lets you express a view on the stock. Conservative employees load up on cash and RSUs. Aggressive employees shift toward options, betting on SPOT appreciation. The result is that two engineers at the same level with the same “target total comp” can have very different actual outcomes depending on how they allocated and what the stock did.

Compensation Pro “The pick-and-mix model is genuinely empowering. I chose 60% RSUs and 40% cash, which gave me predictable income while maintaining equity upside. No other company I interviewed at offered anything like this level of choice.”

The downside? Optionality introduces complexity. New hires who don’t understand the tax implications of NSOs vs. RSUs can make expensive mistakes. If you’re evaluating a Spotify offer, consult a tax advisor before finalizing your mix — the difference between ATM options and RSUs in a flat market is the difference between meaningful equity and paper that expires worthless.

## How Spotify Compares to FAANG & AI Companies

Let’s be direct about where Spotify sits. At the Senior Engineer level (the most common comparison point), verified compensation data tells this story:

Company

Senior Eng TC

WLB Rating

Glassdoor

[Spotify](https://jobsbyculture.com/companies/spotify)

$250K – $320K

4.3 / 5

3.9

[Stripe](https://jobsbyculture.com/companies/stripe)

$280K – $400K

3.6 / 5

4.0

[Anthropic](https://jobsbyculture.com/companies/anthropic)

$300K – $490K

3.5 / 5

4.6

[Databricks](https://jobsbyculture.com/companies/databricks)

$300K – $450K

3.6 / 5

4.0

[OpenAI](https://jobsbyculture.com/companies/openai)

$350K – $550K

3.2 / 5

3.7

The pattern is clear. Spotify pays below the frontier AI labs and below top-tier fintech companies at comparable levels. An engineer at [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai) can earn 30–50% more in total comp. Even [Stripe](https://jobsbyculture.com/companies/stripe), which is a more natural comparison point (established tech, similar scale), pays 15–25% more.

But look at the WLB column. Spotify’s 4.3 work-life balance score is the highest among all the companies listed. That’s not a coincidence — it’s the trade-off. Spotify has explicitly chosen to compete on quality of life rather than raw comp. Managers actively encourage time off. The “Work From Anywhere” policy is genuine. Flexible hours aren’t a perk they advertise and then undermine with on-call expectations.

Compensation Con “Compensation is below market average. The excuse is that people should stay for the cause and not the money. Meanwhile, we’re competing for the same talent as companies paying 30% more.”

For our complete breakdown of the highest-paying AI companies, see the [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

## Benefits Beyond the Paycheck

Spotify’s benefits package partially compensates for the lower base salaries. Some highlights that employees consistently cite:

-   **6 months parental leave.** For both parents. This is industry-leading and a meaningful differentiator for mid-career engineers starting families.
-   **Flexible PTO.** No fixed vacation days — you take what you need. Importantly, Spotify’s culture actually supports using it. Managers track vacation balances and will flag if you haven’t taken time off.
-   **Work From Anywhere weeks.** Employees can work from different locations for extended periods, subject to tax and legal constraints. This is particularly popular among European employees who use it for multi-week stays in warmer climates.
-   **Learning stipends & conference budgets.** Spotify invests in [professional development](https://jobsbyculture.com/values/learning) with dedicated budgets for courses, conferences, and certifications.
-   **Comprehensive healthcare.** In the US, this includes medical, dental, vision, and mental health support. European offices have additional country-specific benefits.

The total benefits value can add $30K–$50K annually depending on how you use them. For an engineer comparing a $280K Spotify offer to a $350K offer at a company with standard benefits and worse WLB, the gap narrows considerably when you factor in the parental leave alone — 6 months paid vs. the industry-standard 12–16 weeks.

## Location & Geo-Adjusted Pay

Spotify adjusts compensation by market, which creates meaningful differences depending on where you work:

-   **New York City:** Highest comp tier in the US. Most senior leadership and a significant portion of engineering operate from the NYC office.
-   **Stockholm:** Headquarters. Compensation reflects Swedish market rates, which are lower than US equivalents but come with Sweden’s social benefits (universal healthcare, 480 days shared parental leave on top of Spotify’s policy).
-   **London:** UK market rates, generally between US and Swedish levels. Growing engineering presence, particularly in ML and infrastructure.
-   **Other locations:** Spotify has offices globally, with comp bands adjusted to each market. Remote roles outside office cities may face additional adjustments.

The gap between NYC and Stockholm for the same level can be 30–40% in raw numbers, though the difference in purchasing power and social benefits narrows that gap significantly. If you’re considering Spotify specifically for the [work-life balance](https://jobsbyculture.com/values/wlb) and [flexibility](https://jobsbyculture.com/values/flex-hours), Stockholm is worth considering — the cultural alignment between Spotify’s values and Swedish work culture is particularly strong.

## Negotiation Tips for Spotify Offers

Based on our analysis of verified Spotify compensation and offer negotiations, here are practical strategies:

-   **Negotiate base salary aggressively.** Spotify’s base salaries have more room than you’d expect. The Incentive Mix is typically set as a percentage of base, so a higher base multiplies across your entire package.
-   **Understand your Incentive Mix before you sign.** Don’t default to whatever the recruiter suggests. Run the scenarios: what does 100% RSUs look like vs. 50% RSUs + 50% cash? Model the stock at +20%, flat, and -20%. Make a deliberate choice.
-   **Use FAANG offers as leverage — but acknowledge the trade-off.** Spotify recruiters know they pay less than Google and Meta. They won’t match those offers dollar-for-dollar. But a competing offer gives you leverage to push Spotify toward the top of their band, which can mean $20K–$40K more than the initial offer.
-   **Ask about refreshers.** Spotify’s annual equity refreshes are part of the ongoing Incentive Mix. Understand the refresh cadence and typical amounts at your level before signing — they matter more than the initial grant over a 4-year stint.
-   **Factor in the intangibles honestly.** If you value [work-life balance](https://jobsbyculture.com/values/wlb), 6 months parental leave, and genuine flexibility, put a dollar figure on that. For many engineers, the $30K–$50K annual pay gap vs. FAANG is more than compensated by the lifestyle difference.

## The Bottom Line: Is Spotify Comp Worth It?

Spotify’s compensation is objectively below the market leaders. At the Senior Engineer level, you’ll earn 10–20% less than at Stripe, 20–30% less than at Databricks, and 30–50% less than at frontier AI labs. The 3.9 comp rating on Glassdoor reflects this reality — employees know they could earn more.

What Spotify offers instead is a life. A 4.3 work-life balance rating — one of the highest in our database. Managers who genuinely care if you take vacation. A flexible equity program that lets you express your own financial preferences. The world’s best recommendation system to work on. And the knowledge that when you leave your laptop at 6 PM, nobody blinks.

For engineers who optimize for total comp above all else, Spotify is not the answer. For engineers who want to solve hard technical problems at scale while still having a life outside of work, it’s one of the best deals in tech. The decision comes down to what you value — and only you can weigh that trade-off.

For more context on Spotify’s engineering culture, squad model, and recent organizational changes, read our full [Working at Spotify in 2026](https://jobsbyculture.com/blog/working-at-spotify-2026) deep-dive.

## Frequently Asked Questions About Spotify Compensation

What is the average software engineer salary at Spotify in 2026?+

The median total compensation for a Software Engineer at Spotify in the US is approximately $275K–$281K per year, including base salary, equity (RSUs or stock options), and cash bonus. Ranges span from $138K for Associate Engineers to $387K+ for Staff Engineers. See our [full compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) for comparisons across 40+ companies.

How does Spotify's pick-and-mix equity program work?+

Spotify’s Incentive Mix program lets you allocate your variable compensation across four options: cash, RSUs, at-the-money stock options (ATM NSOs), or out-of-the-money stock options (OTM NSOs). You choose the percentages. This flexibility is unique in tech — most companies give you RSUs with no choice. Conservative employees favor cash + RSUs; aggressive employees lean toward options for higher potential upside.

How does Spotify compensation compare to FAANG?+

Spotify’s total comp for Senior Engineers ($250K–$320K) is generally 10–20% below FAANG equivalents. Google L5 and Meta E5 engineers typically earn $350K–$450K. However, Spotify’s work-life balance (4.3/5) and flexibility significantly exceed most FAANG companies. For detailed comparisons, use our [company comparison tool](https://jobsbyculture.com/compare).

What are Spotify's engineering levels?+

Spotify uses a band system: Associate Engineer (entry), Engineer I and II (mid-level), Senior Engineer, Staff Engineer, and Principal Engineer. Most external hires enter at Engineer II or Senior level. The management track runs from Engineering Manager through Director. See our [Spotify culture profile](https://jobsbyculture.com/companies/spotify) for more on team structure.

Does Spotify pay differently by location?+

Yes. US roles (primarily NYC) command the highest total comp. Stockholm and London are adjusted to local markets. The gap between NYC and Stockholm can be 30–40% in raw numbers, though Swedish social benefits (universal healthcare, 480 days parental leave) narrow the effective difference. Remote roles outside office cities may face additional adjustments.

What benefits does Spotify offer beyond salary?+

Key benefits include 6 months parental leave (both parents), flexible PTO with genuine support for using it, Work From Anywhere weeks, comprehensive healthcare, learning stipends, and conference budgets. The total benefits value can add $30K–$50K annually. The parental leave alone — double the industry standard — is a significant differentiator for mid-career engineers.

### Explore Spotify’s culture & open roles

See Spotify’s culture values, employee ratings, and open positions alongside 115+ other tech companies.

[View Spotify Profile →](https://jobsbyculture.com/companies/spotify) [Browse Spotify Jobs →](https://jobsbyculture.com/jobs?company=spotify)

---

## Document: Stripe Salary 2026: $208K–$860K TC, Pre-IPO Equity & How It Compares

# Stripe Salary 2026: $208K–$860K TC, Pre-IPO Equity & How It Compares

> Stripe compensation in 2026: $208K-$860K total comp for engineers, with pre-IPO RSUs at a $159B valuation. Real compensation data from verified reports, RSU vesting, benefits, and how it compares to Plaid, Brex, Airbnb, and OpenAI.

Source: https://jobsbyculture.com/blog/stripe-compensation-2026
Markdown: https://jobsbyculture.com/blog/stripe-compensation-2026.md
Last updated: 2026-07-14

---
📍 Quick answer

Stripe engineers earn $250k–$700k total comp in 2026 — competitive base, meaningful RSU grants at a $91.5B valuation, and a structured leveling system that rewards staff+ engineers heavily. Late-stage private liquidity comes via periodic tender offers.

[Browse 524 live Stripe jobs →](https://jobsbyculture.com/jobs?company=stripe)

TL;DR — Key Takeaways

-   Stripe’s median software engineer total compensation is **$340K/year**, ranging from **$208K (L1) to $860K+ (L5–L6)** according to verified salary reports.
-   Equity is granted as **RSUs** tied to a liquidity event. Stripe has facilitated multiple **tender offers** — most recently in early 2026 at a **$159 billion valuation** — providing employees with pre-IPO liquidity.
-   Stripe is **robustly profitable**, processed **$1.9 trillion in payments in 2025**, and has ~8,000 employees post-layoff recovery. IPO is not a near-term priority per co-founder John Collison.
-   Glassdoor overall score of **4.0/5**, Comp & Benefits score of **4.3/5**. WLB is **3.6/5** — high-bar engineering culture with a writing-first communication style sets Stripe apart from typical fintech.

In This Article

1.  [Quick Stats at a Glance](#glance)
2.  [The Short Version](#short-version)
3.  [Base Salary by Level](#base-salary)
4.  [How Stripe RSUs Work](#equity)
5.  [Bonus Structure](#bonus)
6.  [Benefits & Perks](#benefits)
7.  [How Stripe Compares](#comparison)
8.  [Post-Layoff Compensation Context](#post-layoff)
9.  [Negotiation Tips](#negotiation)
10.  [Frequently Asked Questions](#faq)

[Stripe](https://jobsbyculture.com/companies/stripe) is the quiet giant of fintech compensation. While AI labs like [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026) dominate headlines with nine-figure equity packages, Stripe has been methodically building one of the most complete compensation stories in private tech: strong cash salaries, pre-IPO RSUs at a $159 billion valuation, a 4.3/5 Glassdoor Comp & Benefits score, and a world-class engineering culture that continues to attract top talent even after the company’s 2022–2023 layoffs.

The company has approximately 8,000 employees as of April 2026, having rebuilt from its post-layoff low. With $1.9 trillion in payment volume processed in 2025 and a self-described “robustly profitable” business, Stripe is in the unusual position of a private company that doesn’t _need_ to go public — which has direct implications for how employees should think about their equity.

## Quick Stats at a Glance

Component

Detail

Company

Stripe

Employees

~8,000 (post-layoff recovery)

Valuation

~$159B (February 2026 tender offer)

Glassdoor overall

4.0 / 5.0

Comp & Benefits score

4.3 / 5.0

Work-Life Balance

3.6 / 5.0

Recommend to friend

~80%

Engineer TC range

$208K–$860K+ (L1–L5/L6)

Median engineer TC

~$340K (US) / ~$376K (SF Bay Area)

Equity type

RSUs (private, liquidity via tender offers)

IPO status

No confirmed timeline — not a near-term priority

$159B

Stripe’s valuation at the February 2026 tender offer — up from $91B in prior tender rounds

Open roles at Stripe

3 of 524 live · refreshed daily

[Account Executive, AI Sales (Grower) San Francisco, CA](https://jobsbyculture.com/jobs/stripe/account-executive-ai-sales-grower) [Account Executive, Commercial Grower (Japanese Fluency) Japan](https://jobsbyculture.com/jobs/stripe/account-executive-commercial-grower-japanese-fluency) [Account Executive, Commercial Hunter (Japanese Fluency) Japan](https://jobsbyculture.com/jobs/stripe/account-executive-commercial-hunter-japanese-fluency)

[See all 524 Stripe roles →](https://jobsbyculture.com/jobs?company=stripe)

## The Short Version

Stripe compensation is structured around three components: base salary, RSU equity grants, and performance bonuses. Since 2020, Stripe moved from large upfront four-year RSU grants to granting a _fixed dollar value_ of stock annually — a shift that gives employees more predictable equity income but removes the upside of a single large grant appreciating significantly before vesting.

A typical mid-level offer at Stripe looks something like this: $225K base salary plus $180K in annual RSU grants, with an $18.7K bonus — totaling approximately $424K per year at L3. At L4 (staff), total comp rises to ~$633K with a $278K base and $300K in annual RSUs. The equity picture is complicated by the company’s private status, but Stripe has provided liquidity through multiple tender offers, most recently at a $159 billion valuation in early 2026. More detail on how the RSUs work — and the liquidity question — in the [section below](#equity).

## Base Salary by Level

Stripe uses a leveling system from L1 (new grad / entry-level) through L5–L6 (staff and principal). Base salaries are strong relative to most of fintech, though they fall short of frontier AI labs at senior levels. These figures are based on verified salary reports and reported offers.

Level

Title

Base Salary

Annual RSU Grant

Est. Total Comp

L1

Software Engineer

~$144K

~$47K

~$208K

L2

Software Engineer

~$183K

~$73K

~$277K

L3

Senior Software Engineer

~$225K

~$180K

~$424K

L4

Staff Software Engineer

~$278K

~$300K

~$633K

L5–L6

Principal / Senior Staff

$300K+

$400K+

$860K–$1M+

One notable pattern in Stripe’s leveling: equity as a proportion of total comp grows steeply with seniority. At L1, RSUs account for about 23% of total comp. By L4, they account for nearly 47%. This makes the pre-IPO equity question especially important for staff-level candidates evaluating Stripe offers against those from public companies.

Interested in these salary ranges? See what’s open now. [See open Stripe positions →](https://jobsbyculture.com/jobs?company=stripe)

## How Stripe RSUs Work

Stripe’s equity structure has evolved meaningfully over the past several years. Here’s what current and prospective employees need to understand:

-   **RSUs, not options.** Stripe grants Restricted Stock Units, not stock options. You don’t pay a strike price — you simply receive shares as they vest. This is a more employee-friendly structure than stock options, which require you to predict and pay for value at grant time.
-   **Annual grant model since 2020.** Starting in 2020, Stripe shifted from issuing large upfront four-year grants to granting a fixed dollar amount of stock every year. The dollar value stays consistent; the number of shares fluctuates based on Stripe’s current internal share price. This creates more predictable annual income but removes the big upside lottery of a single large grant appreciating 3x before you vest.
-   **Liquidity event trigger.** Stripe RSUs technically vest only upon a “liquidity event” (IPO or acquisition). In practice, Stripe has addressed this through tender offers: the company arranges for investors to buy shares directly from employees, providing liquidity without requiring an IPO.
-   **Tender offer history.** Stripe has run multiple tender offers. In early 2026, a tender offer was facilitated at a **$159 billion valuation** — up from the $91 billion valuation of a prior round. This represents meaningful appreciation and actual cash in employees’ hands.
-   **IPO: not imminent.** Co-founder John Collison stated in January 2026 that an IPO is “not one of our top five or ten or twenty priorities.” Stripe is self-funding and profitable. This means equity liquidity will continue to depend on periodic tender offers rather than a public market exit — which some employees find comfortable and others find limiting.
-   **Tax planning matters.** At IPO (if it happens), Stripe RSUs would settle and become taxable W-2 income on the vesting date even if you don’t sell. Standard withholding on supplemental wages is 22%, but most senior employees receiving large RSU grants will be in a higher bracket. Planning ahead is critical.

Pro — Glassdoor review “Comp is genuinely strong. RSUs with tender offer liquidity means you’re not stuck waiting forever. The $159B valuation tender was a real payday for people who’d been here a few years.”

Con — Glassdoor review “The annual grant model is predictable but it feels like the big upside is gone. You’re not getting a single 4-year grant that 3x’s before it vests. It’s more like a salary supplement than a lottery ticket.”

The key question for candidates: _how comfortable are you with private equity that depends on periodic tender offers for liquidity?_ Stripe’s tender offers have been at progressively higher valuations ($91B to $159B), and the company is financially healthy. But if you want the certainty of publicly-traded stock, Stripe is not the right choice — [Airbnb](https://jobsbyculture.com/companies/airbnb)’s publicly-traded RSUs or a Big Tech employer would better serve that preference.

Related Reading

-   [Working at Stripe in 2026: Culture, Writing-First Teams & What Employees Say](https://jobsbyculture.com/blog/working-at-stripe-2026)
-   [Stripe Layoffs 2026: What Happened, Recovery & Is Stripe Hiring?](https://jobsbyculture.com/blog/stripe-layoffs-2026)
-   [OpenAI Compensation 2026: Salary, PPU Equity, Bonus & How It Compares](https://jobsbyculture.com/blog/openai-compensation-2026)

## Bonus Structure

Stripe offers performance-based bonuses in addition to base salary and RSUs. Here’s what reports suggest about the structure:

-   **Annual performance bonus:** Reports suggest target bonuses in the range of 8–15% of base salary, tied to individual and team performance reviews. At L3 ($225K base), a 10% target bonus would yield approximately $22.5K annually.
-   **Signing bonuses:** Signing bonuses are commonly used at Stripe, particularly to offset unvested equity from a candidate’s current employer. These typically range from $25K to $100K+ at senior levels. Stripe is less aggressive with signing bonuses than frontier AI labs, but they are negotiable.
-   **Relocation support:** For candidates relocating to San Francisco, Dublin, New York, or Singapore, Stripe provides relocation packages covering moving costs and temporary housing allowance.
-   **Note on total comp trajectories:** Reports from verified compensation reports and eFinancialCareers noted that Stripe’s average total comp fell ~7% in 2024 compared to prior years, as post-layoff restructuring and a changed equity model reduced total packages. Comp has stabilized in 2025–2026 but the company is no longer among the absolute top payers at the staff/principal level for engineers who can get competing AI lab offers.

The honest assessment: Stripe’s cash compensation (base + bonus) is excellent. The equity story is strong for employees who have been there long enough to benefit from tender offer appreciation. But for candidates choosing between a Stripe L4 offer and a comparable role at OpenAI or Anthropic, the cash-equivalent total comp numbers strongly favor the AI labs — at least on paper.

## Benefits & Perks

Stripe’s benefits package is comprehensive and contributes to the company’s 4.3/5 Glassdoor Comp & Benefits score. The total benefits value is estimated at approximately $14,600 per employee annually:

-   **Health insurance:** Comprehensive medical, dental, and vision coverage for employees and dependents. Mental health is explicitly covered, with up to 20 therapy sessions per year for employees and their dependents.
-   **401(k) match:** 50% employer match on 401(k) contributions up to $2,000 per year through Fidelity. Note: Stripe’s 401(k) match cap is lower than OpenAI’s (which has no stated cap up to federal limits). Worth factoring into long-term wealth planning.
-   **Parental leave:** 16 weeks paid parental leave for all parents. Birthing parents may qualify for additional medical leave for up to 8 weeks before birth.
-   **Fertility & family planning:** Fully elective fertility program, reimbursed at 80% of costs up to $10,000/year and $20,000 lifetime maximum. One of the more generous fertility benefit structures in fintech.
-   **Wellness stipend:** $125/month wellness stipend for gym memberships, yoga, meditation apps, or other wellness activities.
-   **Life insurance:** Coverage of 2x base annual earnings up to $500,000, with optional voluntary supplemental coverage.
-   **Learning & development:** Onboarding curricula, expert-led internal courses, and educational support. Stripe’s writing culture also means internal memos and long-form communication double as professional development for analytical thinking.
-   **PTO:** Generous paid time off with flexible scheduling, though the WLB score of 3.6/5 suggests the pace can make it difficult to fully disconnect in some teams.

Pro — Glassdoor review “Benefits are solid across the board. The mental health coverage —20 therapy sessions — is something I’ve never seen anywhere else. Fertility coverage is also genuinely good.”

Con — Glassdoor review “The 401k match cap at $2,000 feels stingy for a $159B company. OpenAI matches 50% with no real cap. For someone maxing their 401k, the difference adds up significantly over time.”

## How Stripe Compares

Stripe competes for engineering talent primarily with other fintech companies and, increasingly, with AI labs. Here’s how total compensation stacks up:

Company

Eng TC Range

Comp Score

Equity Type

IPO Status

[Stripe](https://jobsbyculture.com/companies/stripe)

$208K–$860K+

4.3 / 5

RSUs (private)

No timeline

Plaid

$250K–$600K+

4.4 / 5

RSUs (private)

No timeline

Brex

$200K–$500K+

4.2 / 5

Options / RSUs

No timeline

Airbnb

$300K–$750K+

4.5 / 5

RSUs (public — ABNB)

Already public

[OpenAI](https://jobsbyculture.com/companies/openai)

$249K–$1.28M+

4.4 / 5

PPUs (private)

No timeline

Key takeaways from the comparison:

-   **Stripe leads fintech peers at senior levels.** Stripe’s L4+ packages ($633K–$860K+) are competitive with or above Plaid and clearly above Brex for staff engineers. At mid-levels (L2–L3), the gap is smaller and Plaid reports suggest they remain neck-and-neck.
-   **Airbnb wins on equity liquidity.** Airbnb stock (ABNB) is publicly traded. For candidates who want to convert RSUs to cash on a known schedule without waiting for tender offers or an IPO, Airbnb is the clearer choice — though total comp at comparable levels is similar to Stripe’s.
-   **OpenAI pays more, with more risk.** OpenAI’s median TC of $555K vs. Stripe’s $340K is a substantial gap. But OpenAI’s PPUs are a novel equity instrument without the legal and financial history that RSUs have, and the working culture is more intense (similar WLB scores but higher-stakes environment). Stripe is a more predictable career for engineers who want excellent comp without frontier-AI intensity.
-   **Brex is below Stripe at scale.** Brex senior engineers average approximately $450K — meaningfully below Stripe’s L4+ range. Brex is a reasonable choice for earlier-career engineers who want startup velocity, but Stripe dominates on total comp at comparable levels.

## Post-Layoff Compensation Context

Stripe went through two significant rounds of layoffs — 14% of staff in January 2023, and further reductions in late 2024 affecting 300 employees in product, engineering, and operations. These are covered in detail in the [Stripe layoffs post](https://jobsbyculture.com/blog/stripe-layoffs-2026); this section focuses on how those events shaped the compensation landscape for current and prospective employees.

Several compensation dynamics emerged from the post-layoff period:

-   **The annual RSU model absorbed layoff risk differently.** Employees on the old four-year upfront grant model who were laid off lost the unvested portion of those large grants. Under the newer annual grant model, employees receive equity on a yearly cadence, which reduces (though doesn’t eliminate) the “golden handcuffs” effect of unvested equity that traps people in roles they’d otherwise leave.
-   **Total comp declined from peak.** Reports suggest Stripe’s average total comp fell approximately 7% in 2024 from prior peak years. The company is no longer among the absolute highest payers for principal engineers. This is partly structural (the annual grant model vs. large upfront grants that appreciated) and partly market dynamics (AI lab competition resetting benchmarks).
-   **Glassdoor overall score dipped.** Stripe’s Glassdoor overall rating has fluctuated between 3.7 and 4.0 in the post-layoff period, down from a pre-layoff peak closer to 4.3. Comp & Benefits at 4.3/5 remains strong; the drag is on morale, management, and career opportunities scores.
-   **Recovery is genuine.** The $159B tender offer, $1.9T in payment volume, and return to profitable growth are real signals of recovery. New hires and reviews from 2025–2026 skew more positively than those from the 2023–2024 period. The compensation story is stabilizing even if it hasn’t returned to pre-2022 highs.

Pro — Recent Glassdoor review (2026) “Stripe is back. The writing culture, the engineering bar, the comp package — all still here. If you got through the layoff era and stayed, the tender offer made it worth it. New hires are getting solid offers.”

Con — Glassdoor review “The layoffs broke trust in a real way. Comp is still good but it’s hard to ignore that the company cut 14% once. The writing culture is real but perfectionism slows shipping more than it should.”

$1.9T

Payment volume processed by Stripe in 2025 — evidence of a healthy business behind the compensation package

## Negotiation Tips

If you receive a Stripe offer, here’s how to approach the negotiation:

-   **Focus on the annual RSU grant, not base salary.** Base salary at Stripe is relatively standardized by level. The annual equity grant is where you have the most room to negotiate, especially at L3 and above where RSUs account for 40–50%+ of total comp.
-   **Use fintech peers as leverage.** Competing offers from Plaid, Brex, Airbnb, or even Square/Block are credible leverage. If you have an AI lab offer (OpenAI, Anthropic), the total comp gap is large and Stripe recruiters know it — use it to extract the best possible equity package.
-   **Ask about tender offer history and frequency.** Since RSU liquidity depends on tender offers, ask your recruiter directly: how many tender offers has Stripe run in the past three years, at what valuations, and what percentage of employees typically participated? This tells you how “real” the equity value is in practice.
-   **Negotiate the signing bonus to bridge unvested equity.** If you’re leaving unvested RSUs or options at your current employer, request a signing bonus to offset the loss. Document the unvested value clearly — Stripe can usually match or bridge up to 60–80% of verifiable unvested equity.
-   **Level matters enormously.** The difference between L3 ($424K) and L4 ($633K) is $209K in annual total comp. If you have evidence of staff-level impact at your current employer, push for the higher level during the interview process — it’s worth far more than any post-offer negotiation at a fixed level.
-   **Consider the total picture.** The $125/month wellness stipend, 16 weeks parental leave, 20 therapy sessions, and fertility coverage have real financial value. Don’t fixate purely on headline TC numbers at the expense of benefits that matter to your actual life situation.

### Is Stripe Compensation Worth It?

Stripe offers a compelling compensation package for engineers who want top-of-fintech pay, a genuinely elite engineering culture, and a company with a real business — not just a valuation. The $340K median TC and $860K+ at senior levels are strong, the $159B tender offer is evidence that pre-IPO equity can and does provide real liquidity, and the 4.3/5 Comp & Benefits score reflects genuine employee satisfaction. The trade-offs: Stripe has fallen from its previous position as an absolute top payer at principal level (AI labs pay more), the annual RSU model removes the big upside lottery of old-school grants, and the “when does the IPO happen?” question remains unanswered. If you value predictability, writing culture, and fintech at the highest level of scale over maximum raw TC, Stripe is an excellent choice. If you want maximum total comp and can stomach AI lab intensity, [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026) or Anthropic will pay more — with their own equity caveats.

## Open Positions at Stripe

Stripe is actively hiring in 2026 across engineering, product, sales, and operations. With ~8,000 employees and a return to growth, the company is rebuilding thoughtfully after its layoff period. Core hiring is concentrated in San Francisco (HQ), New York, Dublin, Seattle, and Singapore. The writing culture means expectations around communication are unusually high — interview loops include written exercises and memo reviews in addition to technical assessments.

For the full list of live openings, visit the [Stripe jobs page on JobsByCulture](https://jobsbyculture.com/jobs?company=stripe). You can also explore the [Stripe culture profile](https://jobsbyculture.com/companies/stripe) for Glassdoor ratings, employee reviews, and a full breakdown of culture values including engineering-driven, learning, product-impact, transparent, and equity.

## Frequently Asked Questions

What is the average salary at Stripe in 2026?+

The median total compensation for a software engineer at Stripe is approximately $340K per year according to verified salary reports. This includes base salary, RSU equity grants, and performance bonuses. Total comp ranges from $208K at entry level (L1) to $860K+ at senior levels (L5–L6). In the San Francisco Bay Area specifically, the median is higher at approximately $376K.

What kind of equity does Stripe give employees?+

Stripe grants employees RSUs (Restricted Stock Units). Since 2020, Stripe shifted from four-year upfront grants to granting a fixed dollar value of stock annually. RSUs are subject to a liquidity event trigger, though Stripe has facilitated multiple tender offers — most recently in early 2026 at a $159 billion valuation — allowing employees to sell vested shares before any IPO. Stripe remains private as of April 2026, with co-founder John Collison stating an IPO is not among the company’s top priorities.

How much does a Stripe software engineer make?+

Stripe software engineer total compensation ranges from $208K at L1 (entry) to $860K+ at L5–L6 (senior/staff), with a median of approximately $340K. A typical mid-level engineer (L3) earns around $424K in total comp, combining a ~$225K base salary, ~$180K in annual RSU grants, and an ~$18.7K bonus. At the L4 level, total comp rises to approximately $633K with a $278K base and $300K in annual stock grants. See all [current Stripe openings](https://jobsbyculture.com/jobs?company=stripe).

Does Stripe pay more than Plaid or Brex?+

At mid-to-senior levels, Stripe is generally competitive with Plaid and above Brex. Reports suggest Plaid has historically paid slightly higher average total comp at junior levels, while Stripe’s senior and staff-level packages ($450K–$860K+) compare favorably across fintech. Brex senior engineers earn approximately $450K on average — meaningfully below Stripe’s L4+ range. At the highest individual contributor levels (staff/principal), Stripe has fallen from its previous top-of-fintech position as AI lab compensation has reset expectations across the market.

What benefits does Stripe offer?+

Stripe offers comprehensive benefits including full medical, dental, and vision coverage; 50% 401(k) match up to $2,000/year through Fidelity; 16 weeks paid parental leave for all parents; a $125/month wellness stipend; up to 20 therapy sessions per year for employees and dependents; fertility reimbursement up to $20K lifetime; flexible PTO; and learning and development programs. Benefits are estimated to be worth approximately $14,600 per employee annually.

How does Stripe compensation compare to OpenAI?+

[OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026) pays significantly more than Stripe in raw total compensation. OpenAI’s median engineer TC is $555K vs. Stripe’s $340K, and at senior levels the gap widens considerably. The equity structures also differ: OpenAI uses PPUs (a novel private instrument) while Stripe uses RSUs. Stripe’s advantage is more conventional equity mechanics, a more sustainable working culture, and a more established business model. WLB scores are roughly similar (both around 3.6/5), but Stripe’s engineering culture is generally considered less high-pressure than OpenAI’s pace.

Can you negotiate a Stripe offer?+

Yes, Stripe offers are negotiable — particularly the annual RSU grant, which is the largest variable component at senior levels. Candidates with competing offers from Plaid, Brex, Airbnb, or AI labs (OpenAI, Anthropic) have meaningful leverage. Focus negotiation on the equity grant size and signing bonus rather than base salary, which is relatively standardized by level. Stripe also offers relocation support for candidates moving to SF, Dublin, or Singapore offices.

Is Stripe planning an IPO in 2026?+

As of April 2026, Stripe has no confirmed IPO timeline. Co-founder John Collison stated in January 2026 that “an IPO would be a solution in search of a problem” and that going public is not among the company’s top priorities. Instead, Stripe has been providing liquidity to employees through periodic tender offers — most recently in early 2026 at a $159 billion valuation. Stripe processed $1.9 trillion in payments in 2025 and is “robustly profitable,” reducing pressure to raise public capital. Employees should evaluate Stripe equity based on tender offer liquidity, not an imminent IPO.

### See open Stripe roles

Filter by role, seniority, and culture values. Every listing includes compensation context.

[See Stripe Jobs →](https://jobsbyculture.com/jobs?company=stripe) [Stripe Culture Profile →](https://jobsbyculture.com/companies/stripe)

---

## Document: Stripe Layoffs 2026: None. 524 Open Roles, $159B Valuation, $1.9T Payment Volume | JobsByCulture

# Stripe Layoffs 2026: None. 524 Open Roles, $159B Valuation, $1.9T Payment Volume | JobsByCulture

> No layoffs at Stripe in 2026. The company is actively hiring 481 roles, hit a $159B valuation, processed $1.9T in payments, and shipped 288 products at Sessions. Past layoffs (2022, Jan 2025) explained. Updated June 2026.

Source: https://jobsbyculture.com/blog/stripe-layoffs-2026
Markdown: https://jobsbyculture.com/blog/stripe-layoffs-2026.md
Last updated: 2026-07-14

---
📍 Quick answer

Stripe has not announced broad 2026 layoffs as of mid-year. The company is still hiring across engineering, GTM, and infrastructure, though the bar is high and team-by-team headcount is actively managed.

[Browse 524 live Stripe jobs →](https://jobsbyculture.com/jobs?company=stripe)

The short answer

**No layoffs at Stripe in 2026.** The company is hiring, not contracting.

524 open roles right now. ~8,500 employees. $159B valuation (Feb 2026 tender). $1.9T processed in 2025 (+34% YoY). 288 products shipped at Sessions 2026. The two reductions people are still searching about — 14% in Nov 2022 (~1,100 people, severance + accelerated vesting), and 3.5% in Jan 2025 (~300 people) — both pre-date 2026. Stripe has been actively hiring since.

## Latest Stripe News 2026

Stripe has had a blockbuster 2026 so far. Here are the biggest Stripe news developments:

-   **$159B valuation (February 2026).** Stripe reached a $159 billion valuation through a tender offer that provided liquidity to employees — making it the most valuable private fintech company in the world.
-   **288 product launches at Sessions 2026 (April 29).** At Stripe Sessions, their annual conference attended by 9,000+ business leaders, the company unveiled 288 new products and features focused on AI commerce and the agentic economy.
-   **AI agent wallet via Link.** Stripe introduced a digital wallet built for the AI era, where autonomous agents can shop, pay for reservations, and buy tickets. Users grant agents access to their Link wallet via OAuth, and agents create spend requests for approval.
-   **Agentic Commerce Suite expansion.** Through partnerships with Meta and Google, Stripe expanded its Agentic Commerce Suite — positioning the company as the payments infrastructure layer for AI-powered commerce.
-   **$1.9 trillion in payment volume (2025).** Businesses running on Stripe processed $1.9 trillion in total payments in 2025, up 34% year-over-year. That number continues to grow in 2026.
-   **Named a Leader by Forrester.** Stripe was recognized as a Leader by Forrester for merchant payment providers in 2026.

Open roles at Stripe

3 of 524 live · refreshed daily

[Account Executive, AI Sales (Grower) San Francisco, CA](https://jobsbyculture.com/jobs/stripe/account-executive-ai-sales-grower) [Account Executive, Commercial Grower (Japanese Fluency) Japan](https://jobsbyculture.com/jobs/stripe/account-executive-commercial-grower-japanese-fluency) [Account Executive, Commercial Hunter (Japanese Fluency) Japan](https://jobsbyculture.com/jobs/stripe/account-executive-commercial-hunter-japanese-fluency)

[See all 524 Stripe roles →](https://jobsbyculture.com/jobs?company=stripe)

## Is Stripe on a Hiring Freeze?

No — as of May 2026, Stripe is **actively hiring** with **524 open positions** across engineering, sales, product, and operations. While Stripe conducted layoffs in November 2022 (cutting 14% of staff) and again in January 2025 (cutting ~300 employees), the company has since returned to growth mode with 8,000+ employees and $1T+ in payment volume. There is no current hiring freeze at Stripe.

If you’re searching “Stripe layoffs 2026,” here’s the short version: **Stripe is not laying people off in 2026.** The company’s major workforce reduction happened in November 2022, when CEO Patrick Collison cut 14% of staff — roughly 1,100 people. Since then, [Stripe](https://jobsbyculture.com/companies/stripe) has staged one of the most impressive recoveries in fintech.

This article breaks down exactly what happened, how the layoffs affected Stripe’s culture and Glassdoor ratings, and whether the company is worth joining in 2026. Spoiler: the data says yes, with caveats.

## What Happened: The Stripe Layoffs Timeline

Stripe’s layoffs didn’t happen in a vacuum. Like many tech companies, Stripe scaled aggressively during the zero-interest-rate era of 2020–2021, growing from ~4,000 employees to over 8,000. When the macro environment shifted, the correction was painful.

November 3, 2022

Major layoff: 14% of workforce (~1,100 people)

Patrick Collison published an open letter to employees acknowledging the company had “overhired for the world we’re in.” Affected employees received 14+ weeks of severance, accelerated equity vesting, and 6 months of healthcare. The transparency of the letter was widely praised, even by departing employees.

2023

Additional smaller cuts

Stripe made further targeted reductions across some teams, though at a much smaller scale than the November 2022 event. The company focused on operational efficiency and reaching profitability.

2024

Recovery begins

Stripe reached profitability, surpassed $1 trillion in total payment volume, and began actively hiring again. The company stabilized at approximately 8,000–8,500 employees.

January 21, 2025

Second layoff: 3.5% of workforce (~300 people)

Stripe cut 300 employees across product, engineering, and operations. Chief People Officer Rob McIntosh’s memo said the cuts were about ensuring “the right people in the right roles and locations.” An embarrassing incident marred the process: some termination emails accidentally included a PDF image of a cartoon duck. Despite the cuts, Stripe announced plans to grow headcount to ~10,000 by year-end.

2025–2026

Growth resumes, targeting 10,000 employees

Stripe continued hiring aggressively through 2025, adding over 1,100 new hires by mid-year. The company framed the January layoffs as a rebalancing, not a slowdown. By early 2026, Stripe has ~8,000+ employees and 500+ open roles.

February 2026

$159B valuation via tender offer

Stripe reached a $159 billion valuation through an employee tender offer, providing liquidity and making it the most valuable private fintech company in the world. The company has 485+ open positions across engineering, product, sales, and operations.

April 2026

Sessions 2026: 288 new product launches

At Stripe Sessions, attended by 9,000+ business leaders, the company unveiled 288 new products and features including the Agentic Commerce Suite, Link AI agent wallet, and expanded payment methods — positioning Stripe as the infrastructure layer for AI-powered commerce.

## Where Stripe Stands Now

Metric

Detail

Employees

~8,000

Open roles

512

Payment volume (2025)

$1.9T processed (up 34% YoY)

Valuation

$159B (Feb 2026 tender offer)

Profitability

Profitable

CEO

Patrick Collison

Glassdoor rating

4.0 / 5.0

Work-life balance

3.6 / 5.0

Recommend to a friend

80%

~8,000

Employees

512

Open roles

$1.9T

Payments processed (2025)

## How the Layoffs Affected Culture

The 2022 layoffs left a mark on Stripe’s culture. Before the cuts, Stripe held a Glassdoor rating of approximately 4.3 — consistently one of the highest in fintech. The rating dropped to around 3.8 in the months following the layoffs, as remaining employees processed the shock and survivors dealt with increased workloads and uncertainty.

By mid-2024, the trajectory began reversing. Several factors drove the recovery:

-   **Transparent leadership.** Collison’s layoff letter was unusually candid. He took personal responsibility for overhiring, didn’t blame market conditions alone, and the generous severance packages (14+ weeks, equity acceleration, healthcare extension) set a high bar. This built trust with remaining employees.
-   **Writing culture endured.** Stripe’s famous memo-driven culture — where decisions are documented in long-form writing rather than slide decks — survived the layoffs intact. Employees consistently cite this as a differentiator.
-   **Engineering excellence remained the north star.** Stripe continued to ship ambitious products (Stripe Atlas expansion, AI-powered fraud detection, revenue recognition tools) without the culture of overwork that defined some competitors.
-   **Profitability restored confidence.** Reaching profitability signaled that the layoffs weren’t a sign of decline but a course correction. Employees in 2025–2026 reviews express more confidence about Stripe’s long-term trajectory.

That said, scars remain. Some employees note reduced psychological safety — a fear that underperformance could lead to cuts. The 3.6 WLB score reflects teams that are still running lean. And the “golden era” of pre-layoff Stripe, where the company felt untouchable, is over. What replaced it is a leaner, more focused company that employees describe as “grown up.”

## Glassdoor Rating Breakdown

Here’s how Stripe scores across Glassdoor’s key dimensions as of March 2026:

Compensation & Benefits 4.3

Culture & Values 4.0

Overall Rating 4.0

Work-Life Balance 3.6

Career Opportunities 3.6

Senior Management 3.5

The standout is Compensation & Benefits at 4.3 — Stripe still pays top-tier, even post-layoffs. The weaker spots (Senior Management at 3.5, Career Opportunities at 3.6) reflect lingering frustration from the restructuring and flatter org post-layoffs. Notably, recent reviews from 2025–2026 skew more positive than the overall average, suggesting the recovery is real and accelerating.

## Is Stripe Hiring Again?

Yes. Stripe currently has **524 open positions** — a strong signal that the company is past its contraction phase and investing in growth again. Here’s where the roles are concentrated:

San Francisco, CA 86 roles

Bengaluru, India 49 roles

Dublin, Ireland 44 roles

Seattle, WA 38 roles

Singapore 21 roles

New York, NY 19 roles

London, UK 18 roles

Other locations 237 roles

The geographic spread is notable. Stripe isn’t just hiring in San Francisco — Bengaluru, Dublin, and Singapore are major hubs, reflecting the company’s global infrastructure needs. For the full list of live openings, visit the [Stripe jobs page](https://jobsbyculture.com/jobs?company=stripe).

## What Employees Say Now

Recent Glassdoor reviews (2025–2026) paint a picture of a company that has emerged from the layoff era more focused but still demanding:

Pro — Glassdoor review “The writing culture is real. Decisions are documented, debates are rigorous, and the best ideas win regardless of seniority. It’s one of the most intellectually stimulating places I’ve worked.”

Pro — Glassdoor review “Comp is excellent — base, equity, and benefits are all top-tier. They didn’t cut comp even during the layoffs, which says a lot about how they treat people.”

Pro — Glassdoor review “The caliber of engineers here is unmatched. Every code review teaches you something. The bar is incredibly high, but the support to meet it is there.”

Con — Glassdoor review “After the layoffs, there’s a lingering anxiety. Teams are leaner and the pressure to deliver is higher. Work-life balance has gotten harder to maintain.”

Con — Glassdoor review “The ‘move fast’ culture can feel relentless. If you need structure and predictability, this isn’t the place. The bar for performance is high and there’s less tolerance for coasting than pre-layoffs.”

Con — Glassdoor review “Senior management decisions aren’t always transparent. The layoffs were handled well externally, but internally some teams felt blindsided by restructuring.”

### The Bottom Line on Stripe Post-Layoffs

Stripe in 2026 is not the same company it was before the layoffs — and that’s not entirely a bad thing. The overhiring-era excess is gone, replaced by a leaner operation that’s profitable and growing again. The 4.0 Glassdoor, 80% recommendation rate, and 524 open roles all point to a company that has successfully turned the corner. Compensation remains elite (4.3/5.0), the engineering culture and writing tradition are intact, and the business fundamentals are the strongest they’ve ever been. The trade-off? Higher performance expectations, leaner teams, and a 3.6 WLB score that reflects real intensity. If you can handle the pace, [Stripe](https://jobsbyculture.com/companies/stripe) is one of the strongest bets in fintech.

## Frequently Asked Questions

Is Stripe on a hiring freeze?+

No — as of May 2026, Stripe is **actively hiring** with **524 open positions** across engineering, sales, product, and operations. While Stripe conducted layoffs in November 2022 (cutting 14% of staff) and again in January 2025 (cutting ~300 employees), the company has since returned to growth mode with 8,000+ employees and $1T+ in payment volume. There is no current hiring freeze at Stripe. Browse all [current Stripe openings](https://jobsbyculture.com/jobs?company=stripe).

Did Stripe have layoffs recently?+

Yes. Stripe’s most recent layoff was in **January 2025**, when the company cut 300 employees (~3.5% of its workforce) across product, engineering, and operations. Before that, Stripe had a major layoff in November 2022, cutting 14% (~1,100 people). Despite the January 2025 cuts, Stripe said it planned to grow headcount to ~10,000 by year-end. As of March 2026, Stripe is actively hiring with [500+ open roles](https://jobsbyculture.com/jobs?company=stripe).

How many times has Stripe had layoffs?+

Stripe has had two significant rounds of layoffs. The largest was in **November 2022**, cutting ~1,100 employees (14% of workforce). CEO Patrick Collison published an open letter taking responsibility for overhiring. The second was in **January 2025**, cutting 300 employees (~3.5%) across product, engineering, and operations. Additional smaller targeted cuts occurred in 2023. Despite this, Stripe has continued growing and targets ~10,000 employees.

Is Stripe still hiring in 2026?+

Yes. As of March 2026, Stripe has 524 open positions across multiple departments and locations including San Francisco, Dublin, Singapore, Bengaluru, and Seattle. The company is actively hiring for engineering, product, sales, and operations roles. Browse all [current Stripe openings](https://jobsbyculture.com/jobs?company=stripe).

What is Stripe's Glassdoor rating after the layoffs?+

Stripe’s Glassdoor rating is 4.0 out of 5.0 as of March 2026. This is lower than its pre-layoff peak of approximately 4.3, reflecting the impact the layoffs had on employee morale. However, the trajectory is positive — newer reviews skew more favorably, with 80% of employees recommending the company, and Compensation & Benefits rated at 4.3/5.0. See the full [Stripe culture profile](https://jobsbyculture.com/companies/stripe).

What is Stripe's culture like in 2026?+

Stripe’s culture in 2026 centers on engineering excellence and its famous writing culture, where decisions are documented in detailed memos. Employees describe a high-performance, intellectually rigorous environment. The culture took a hit from the 2022 layoffs, with some loss of psychological safety, but reviews from 2025–2026 show recovery. Culture & Values is rated 4.0/5.0 on Glassdoor, with strong marks for compensation (4.3) and a solid 80% recommendation rate. Read more in our [Working at Stripe](https://jobsbyculture.com/blog/working-at-stripe-2026) deep dive.

### Browse all 13,906 jobs from 118 companies

Filter by company, culture values, role type, and seniority level.

[See Stripe Jobs →](https://jobsbyculture.com/jobs?company=stripe) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Stripe Remote Work Policy 2026: Hybrid, Offices & What Employees Actually Say

# Stripe Remote Work Policy 2026: Hybrid, Offices & What Employees Actually Say

> Is Stripe remote-friendly in 2026? ~40% of 8,000 employees are remote, but office-assigned staff spend 50% of time on-site. We break down the hybrid policy, office locations, and what employees really say.

Source: https://jobsbyculture.com/blog/stripe-remote-work-policy-2026
Markdown: https://jobsbyculture.com/blog/stripe-remote-work-policy-2026.md
Last updated: 2026-07-14

---
📍 Quick answer

Stripe is hybrid — most roles list SF, NYC, Seattle, Dublin, or London as primary hubs with several days/week in-office. The "remote" label on the careers page often means "remote within a specific country/region", not globally distributed.

[Browse 524 live Stripe jobs →](https://jobsbyculture.com/jobs?company=stripe)

## What Is Stripe's Remote Work Policy?

Stripe operates a **hybrid model with a remote track** in 2026. Approximately 40% of Stripe’s ~8,000 employees are fully remote, while office-assigned employees spend at least 50% of working days in their local office each month. There is no rigid 3-days-in-office mandate. Stripe does not apply location-based pay cuts — remote employees earn the same as their San Francisco counterparts. The Collison brothers have publicly criticized companies that design RTO policies “around the bottom 5%,” and Stripe currently has **524 open positions** across 20+ global offices.

If you’re evaluating [Stripe](https://jobsbyculture.com/companies/stripe) as an employer and remote work is a deciding factor, the company’s policy is genuinely more nuanced than a simple yes or no. Stripe’s leadership — including co-founder John Collison — has been publicly vocal about valuing remote work and designing policies around top talent rather than the “bottom 5%.” But what does that actually look like on the ground?

The short answer: roughly 40% of Stripe’s ~8,000 employees are fully remote. Office-assigned employees spend at least 50% of working days in their local office each month. There are no blanket RTO mandates, no location-based pay cuts, and no rigid 3-days-in-office rules. That puts Stripe ahead of most fintech peers — but behind true remote-first companies like Airbnb or Plaid.

Open roles at Stripe

3 of 524 live · refreshed daily

[Account Executive, AI Sales (Grower) San Francisco, CA](https://jobsbyculture.com/jobs/stripe/account-executive-ai-sales-grower) [Account Executive, Commercial Grower (Japanese Fluency) Japan](https://jobsbyculture.com/jobs/stripe/account-executive-commercial-grower-japanese-fluency) [Account Executive, Commercial Hunter (Japanese Fluency) Japan](https://jobsbyculture.com/jobs/stripe/account-executive-commercial-hunter-japanese-fluency)

[See all 524 Stripe roles →](https://jobsbyculture.com/jobs?company=stripe)

## Stripe Remote Policy at a Glance

Metric

Detail

Official policy

Hybrid with remote track (~40% fully remote)

Office-assigned requirement

50% of working days in local office per month

Remote employees

~3,200 out of ~8,000 (40%)

HQ

South San Francisco, CA & Dublin, Ireland (dual HQ)

Global offices

20+ cities across North America, Europe, APAC, LATAM

Location-based pay adjustment

None — remote employees earn the same as SF

International remote

Not broadly available — role & country dependent

Glassdoor rating

4.0 / 5.0 (2,800+ reviews)

Work-life balance

3.6 / 5.0

~40%

Of Stripe’s ~8,000 employees work fully remote — up from 20% pre-pandemic

## What Stripe’s Hybrid Policy Actually Means

Stripe operates two distinct tracks for employees: a **fully remote track** and an **office-assigned track**. Here’s how they differ in practice:

-   **Fully remote employees** work from home or a co-working space and have no in-office requirement. They are deliberately placed on teams with other remote employees to reduce the “office context gap” that plagues hybrid teams where some members are local and others are not.
-   **Office-assigned employees** are expected to be in their local office at least 50% of working days in a given month. This is more flexible than a fixed 3-day-per-week rule — you can cluster your office days how you prefer, as long as the monthly aggregate hits the threshold.
-   **No location-based pay cuts.** Unlike Meta, Google, or Twitter/X, Stripe does not reduce salaries for remote employees in lower-cost cities. A remote software engineer in Austin earns the same base and equity as their counterpart in San Francisco.
-   **Remote teams with remote teams.** Stripe proactively structures remote employees together, so there isn’t a dynamic where in-office teammates have context that remote colleagues miss. This is a meaningful structural difference from companies that simply allow ad-hoc remote arrangements.

Leadership philosophy is also worth noting. Co-founder John Collison has criticized companies for designing return-to-office policies “around the bottom 5% of the company,” while Stripe aims to retain “outrageously productive remote people.” CEO Patrick Collison has been open about his own preference for remote-compatible working styles. This top-down philosophy translates into policy: Stripe hasn’t issued sweeping RTO mandates that have roiled competitors.

## Which Roles at Stripe Are Remote-Eligible?

Whether a role is remote-eligible depends primarily on the job family and team. Based on current job listings and Glassdoor reviews, the pattern looks like this:

-   **Engineering & infrastructure** — Most engineering roles, particularly in distributed systems, payments infrastructure, and developer tooling, have strong remote availability. Stripe’s globally distributed engineering org means many teams are already distributed by default.
-   **Product & design** — More mixed. Some product roles list remote as an option; others require proximity to SF or NYC for collaboration-heavy workflows.
-   **Operations & finance** — Typically office-assigned, especially roles requiring regulatory oversight or cross-functional coordination in payments and compliance.
-   **Customer-facing roles** — Least likely to be fully remote, particularly for enterprise sales and strategic account management. Junior customer-facing roles often have a 3-days-in-office expectation when near an office.

The practical implication: if you’re a software engineer, your odds of landing a fully remote role at Stripe are significantly higher than if you’re joining as a sales manager or operations analyst. Check individual job listings carefully — the designation is on the posting itself.

## Stripe’s Global Office Network

Stripe maintains offices in over 20 cities globally. The dual headquarters structure (South San Francisco and Dublin) reflects Stripe’s ambitions as both a US and a global financial infrastructure company:

South San Francisco, CA

US Headquarters · Primary engineering & leadership hub

Dublin, Ireland

European Headquarters · EMEA operations & finance

New York City, NY

Sales, finance, business roles

London, UK

Engineering & UK financial services

Singapore

APAC hub · Southeast Asia operations

Tokyo, Japan

Japan & North Asia expansion

Amsterdam, Netherlands

European engineering & product

Bangalore & Hyderabad, India

Engineering growth centres

Sydney & Melbourne, Australia

APAC sales & operations

Toronto, Canada

North America engineering presence

Additional offices span Berlin, Barcelona, Paris, Stockholm, Prague, Tallinn, Warsaw, Chicago, São Paulo, Mexico City, Dubai, and Zurich. The breadth of this network means most office-assigned employees are not required to commute to San Francisco — they report to a local office in their region.

## What Stripe Employees Say About Remote Work

Glassdoor reviews paint a consistently positive picture on remote flexibility, even if they flag the demanding workload as a separate concern:

Pro — Glassdoor review “Great benefits and remote allowed — Stripe actually means it. I’m on a remote team with other remotes, so I don’t miss out on office context.”

Pro — Glassdoor review “No pay cut for being remote. Same salary as SF. That alone puts Stripe ahead of most companies.”

Con — Glassdoor review “Remote doesn’t mean light workload. Very lean team, a lot of products, very tight deadlines — you’ll work hard wherever you sit.”

Con — Glassdoor review “Promotion criteria can feel opaque especially if you’re remote — it’s not as bad as some companies, but visibility still matters.”

The pattern that emerges: Stripe is genuinely supportive of remote work at a structural level, but “remote-friendly” does not insulate you from Stripe’s notoriously high performance bar. The [Stripe culture profile](https://jobsbyculture.com/companies/stripe) highlights an elite writing culture, rigorous code review, and long-horizon thinking — all of which translate to demanding expectations regardless of location.

Work-life balance scores a 3.6/5 on Glassdoor — below average for a tech company of this caliber. This is driven primarily by lean team sizes and the complexity of operating financial infrastructure at global scale, not by a hostile stance toward remote work specifically.

## Stripe vs. Plaid, Airbnb, Square & Databricks: Remote Policy Compared

Stripe is often evaluated against Plaid, Airbnb, Square (Block), and Databricks by fintech and payments engineers. Here’s how their remote policies actually compare:

Company

Remote Policy

Pay Adjustment

Glassdoor

WLB

[Stripe](https://jobsbyculture.com/companies/stripe)

Hybrid — 40% fully remote; office staff 50% on-site/month

None

4.0

3.6

Plaid

Mostly remote; office optional (not required) near SF/NYC

None

4.1

4.0

Airbnb

Fully remote; work from anywhere (with country restrictions)

None

4.2

4.1

Square / Block

Permanent remote or hybrid — employee’s choice

None

3.8

3.7

Databricks

Hybrid — ~3 days/week in office for most roles

Varies by location

4.3

3.9

The ranking by remote flexibility: **Airbnb > Plaid > Square/Block > Stripe > Databricks**. Airbnb is the gold standard for remote-first fintech/tech, having permanently committed to work-from-anywhere since 2022. Plaid comes close, with office attendance genuinely optional for most engineers. Square/Block lets employees self-select. Stripe sits in a strong fourth place — meaningfully better than Databricks, which enforces a 3-day office requirement.

Worth noting: Stripe’s no-pay-adjustment policy is shared by all five companies above, which is unusual in the broader market and reflects a shared conviction in these fintech leaders that location-based pay cuts undermine talent quality.

### The Bottom Line

Stripe is a genuinely remote-friendly company in a sector where many peers are not. The 40% remote workforce, no location-based pay cuts, and deliberate remote-team structuring put it well ahead of most financial infrastructure companies. If you want fully remote flexibility with zero office expectation, [Airbnb](https://jobsbyculture.com/companies/airbnb) or Plaid may suit you better. But if you want elite engineering culture, top fintech compensation, and the option to work remotely on a team that is also distributed — Stripe is hard to beat. Just go in with realistic expectations: the workload is intense regardless of where you sit. See also: [Stripe Compensation 2026](https://jobsbyculture.com/blog/stripe-compensation-2026) and [Stripe Layoffs 2026](https://jobsbyculture.com/blog/stripe-layoffs-2026) for the full employment picture.

## Open Positions at Stripe

Stripe currently has hundreds of open roles across engineering, product, operations, finance, and go-to-market. Many engineering roles are available to remote candidates. Use the location filter to find remote-eligible positions specifically.

For the full list of live openings, visit the [Stripe jobs page on JobsByCulture](https://jobsbyculture.com/jobs?company=stripe) or explore the [Stripe culture profile](https://jobsbyculture.com/companies/stripe) for Glassdoor ratings, employee review themes, and culture values.

## Frequently Asked Questions

What is Stripe's remote work policy?+

Stripe operates a hybrid model with a remote track in 2026. Approximately 40% of Stripe’s ~8,000 employees are fully remote, while office-assigned employees spend at least 50% of working days in their local office each month. There is no rigid 3-days-in-office mandate. Stripe does not apply location-based pay cuts — remote employees earn the same as their San Francisco counterparts. The Collison brothers have publicly criticized companies that design RTO policies around their worst performers. See all [current Stripe openings](https://jobsbyculture.com/jobs?company=stripe).

Is Stripe remote friendly in 2026?+

Yes, more than most fintech companies. Around 40% of Stripe’s ~8,000 employees are fully remote — up from 20% before the pandemic. However, office-assigned employees are expected to spend at least 50% of working days in their local office each month. Stripe’s leadership explicitly supports remote work, but whether you get a remote role depends heavily on the team and job type. Engineering roles tend to have more remote flexibility than customer-facing or operations roles.

What is Stripe’s remote work policy in 2026?+

Stripe operates a hybrid model with two tracks: fully remote employees (roughly 40% of the company) and office-assigned employees who spend at least 50% of the month in their local office. There is no mandatory 3-days-in-office rule — the 50% monthly threshold gives employees flexibility to cluster office days. Stripe does not apply location-based pay adjustments, meaning remote employees in lower cost-of-living areas earn the same as their SF counterparts.

Where are Stripe’s offices located?+

Stripe has dual headquarters in South San Francisco, CA, and Dublin, Ireland, with offices in Amsterdam, Bangalore, Barcelona, Berlin, Chicago, Dubai, Hyderabad, London, Melbourne, Mexico City, New York, Paris, Prague, São Paulo, Singapore, Stockholm, Sydney, Tallinn, Tokyo, Toronto, Warsaw, and Zurich — over 20 office locations worldwide. Office-assigned employees report to their local office, not San Francisco.

Does Stripe adjust pay for remote workers in lower cost-of-living areas?+

No. Unlike companies such as Meta or Google that apply location-based pay adjustments, Stripe does not reduce compensation for employees who live in lower cost-of-living cities. A remote software engineer in Austin earns the same as one in San Francisco. This is a significant benefit and one reason Stripe consistently attracts strong remote talent. Check [Stripe Compensation 2026](https://jobsbyculture.com/blog/stripe-compensation-2026) for full salary and equity details.

What do Stripe employees say about remote work?+

Glassdoor reviews are broadly positive on remote flexibility. “Great benefits and remote allowed” appears as a positive attribute in over 125 reviews. Employees note that Stripe provides good support for remote workers and that remote engineers are placed on teams with other remote engineers to minimize the office-context gap. The main criticism is that the intense workload doesn’t diminish just because you’re remote — Stripe is known for demanding high standards regardless of where you work. See all [current Stripe openings](https://jobsbyculture.com/jobs?company=stripe).

How does Stripe’s remote policy compare to Plaid, Airbnb, Square, and Databricks?+

Airbnb is the most remote-friendly — fully remote with no pay adjustments and explicit work-from-anywhere flexibility. Plaid is mostly remote, with office attendance optional (not required) for those near SF or NYC. Stripe sits in the middle: ~40% of employees are fully remote, office staff work hybrid (50% on-site per month). Square/Block allows permanent remote or hybrid, with employees self-selecting their arrangement. Databricks requires approximately 3 office days per week for most roles, making it the most office-heavy of the group. Visit our [Stripe culture profile](https://jobsbyculture.com/companies/stripe) for a deeper comparison.

### Browse Stripe’s open roles

Filter by location and role type. See which positions are remote-eligible.

[See Stripe Jobs →](https://jobsbyculture.com/jobs?company=stripe) [Stripe Comp & Equity Guide →](https://jobsbyculture.com/blog/stripe-compensation-2026)

---

## Document: Supabase Compensation in 2026: Salary, Equity & Total Comp Breakdown

# Supabase Compensation in 2026: Salary, Equity & Total Comp Breakdown

> Supabase compensation in 2026: engineer salary ranges ($135K–$255K), equity at a $5B valuation, total comp breakdown, and how it compares to Vercel, Linear, and PostHog.

Source: https://jobsbyculture.com/blog/supabase-compensation-2026
Markdown: https://jobsbyculture.com/blog/supabase-compensation-2026.md
Last updated: 2026-07-14

---
TL;DR — Key Takeaways

-   Software Engineer base salaries range from **$135K–$192K**, with SF-based engineers earning **$160K–$205K**. Senior Engineers have a median around **$201K**, reaching $313K at the 90th percentile.
-   Equity grants of **$120K–$240K over 4 years** at a $5B valuation — with the company reportedly targeting $10B in 2026, making pre-IPO equity genuinely meaningful.
-   Total compensation is **geo-adjusted**: fully remote means your location determines your band. Teammates in high-cost cities earn significantly more than those in lower-cost regions.
-   Glassdoor: **4.8/5** overall (small sample). WLB: **3.0/5** — Supabase is ambitious and fast-moving. Expect intensity, not balance.

[Supabase](https://jobsbyculture.com/companies/supabase) is the rare open-source company that has cracked both developer love and genuine revenue scale. The Firebase alternative built on Postgres has accumulated 4 million developers, raised $544M across six rounds, and achieved a $5B valuation in October 2025 — all while remaining fully distributed, entirely async, and publicly committed to open-source at the core. Understanding Supabase's compensation requires understanding the remote-first philosophy that shapes everything from salary bands to work rhythm to equity structure.

The company was founded by Paul Copplestone and Ant Wilson in 2020. Since then, it has shipped at a pace that has surprised observers: real-time, edge functions, vector search, auth, object storage, and a built-in AI assistant — all integrated into a single developer platform that competes directly with AWS, Firebase, and increasingly, standalone tools for each layer of the stack. The $70M ARR growing at 250% year-over-year is not a fluke — it reflects genuine developer adoption at scale.

## Quick Stats at a Glance

Company

Supabase, Inc.

Founded

2020, San Francisco (fully remote)

Employees

~250–350

ARR

~$70M (2025, +250% YoY)

Developers on Platform

4M+

Last Valuation

$5B (Series E, Oct 2025)

Reported Target

$10B (2026)

Total Funding

$544M (6 rounds)

Investors

Accel, Peak XV, Craft Ventures

Glassdoor Rating

4.8 / 5.0

Work-Life Balance

3.0 / 5.0

CEO

Paul Copplestone

Open Roles

43

## Base Salary: What the Data Shows

Supabase uses geo-adjusted salary bands, a common approach at fully remote companies that want to pay competitively in every market without either over-paying in low-cost regions or losing candidates in high-cost hubs. The result: your location determines which band you fall into, and the variance is substantial.

### Salary ranges by level

Software Engineer

$135K–$192K base (geo-adjusted)

SF-Based Engineer

$160K–$205K base

Senior Software Engineer

$162K–$255K base (median ~$201K)

90th Percentile (Senior)

$313K (base + equity)

Staff / Principal Engineer

Est. $220K–$290K base

Engineering Manager

Est. $210K–$270K base

A few things worth noting about these numbers. First, the $313K figure at the 90th percentile for Senior Engineers represents total compensation including equity value — not base salary alone. Second, "geo-adjusted" at Supabase means the spread is real: a Senior Engineer in Berlin might earn 70–80% of what a counterpart in San Francisco receives. Third, Supabase has been growing fast enough that bands have shifted upward year-over-year as the company has raised capital and achieved scale.

$5B

Series E Valuation (Oct 2025)

250%

ARR Growth Year-over-Year

4M+

Developers on Platform

## Total Compensation: The Equity Equation

The most important number in any Supabase offer letter isn't the base salary — it's the equity grant and how it looks at the current $5B valuation versus the reported $10B target. Here's how the math typically works.

### Equity grant structure

Grant Range

$120K–$240K over 4 years

Vesting Schedule

4-year vest, 1-year cliff

Grant Type

Stock options (ISOs/NSOs)

Current Valuation

$5B (Series E)

Reported Target

$10B (2026)

Liquidity

Pre-IPO; no set timeline

The grant range of $120K–$240K over four years works out to roughly $30K–$60K in annual equity value at the current $5B valuation. If Supabase achieves its $10B target valuation before your grant is fully vested, the value of unvested shares doubles. This is not guaranteed — it's the nature of pre-IPO equity — but given the company's revenue trajectory, the scenario is plausible rather than aspirational.

Total compensation at Supabase therefore ranges considerably by level and geography. At the midpoint for a Senior Engineer in a major US city: $201K base + ~$45K annualized equity = approximately $246K in total cash and equity value. In a lower-cost region: $162K base + ~$30K equity = roughly $192K. The gap is real and intentional.

Why the Equity Story Matters "Supabase went from a $0 product in 2020 to $70M ARR in 2025 growing 250% year-over-year. Companies with that trajectory and a $5B valuation seeking $10B in 2026 are at exactly the inflection point where equity appreciation has historically been most meaningful for employees."

## How Supabase Compares to Peers

Supabase occupies a specific niche: remote-first, open-source, developer infrastructure, pre-IPO. The closest compensation peers are [Vercel](https://jobsbyculture.com/companies/vercel), [Linear](https://jobsbyculture.com/companies/linear), and [PostHog](https://jobsbyculture.com/companies/posthog) — all remote-first dev tools companies with strong engineering cultures and significant open-source presence.

### Comparison: Remote Dev Tools Comp

Supabase

$135K–$255K base; $120K–$240K equity/4yr at $5B

[Vercel](https://jobsbyculture.com/companies/vercel)

$190K–$270K base; strong equity at ~$3.5B valuation

[Linear](https://jobsbyculture.com/companies/linear)

~$190K–$250K base; private, ~$250M raised

[PostHog](https://jobsbyculture.com/companies/posthog)

Transparent salary calculator; ~$150K–$220K base; ~$500M valuation

PlanetScale

$160K–$240K base; went private in 2024

Supabase's base salary range sits roughly in line with peers at similar stages. The equity differentiation comes from valuation trajectory: $5B and reportedly targeting $10B is a more aggressive growth story than Linear (~$250M raised) or PostHog (~$500M valuation). The trade-off is that Vercel, at a similar $3.5B valuation, has more liquidity history and a clearer path to IPO.

Against large public companies, the picture shifts. Stripe pays $250K–$400K+ total comp. Databricks engineers can clear $350K–$500K. But those companies are at $50B+ valuations — the equity upside ceiling is fundamentally different from a $5B pre-IPO company that grew ARR 250% last year. The right comparison isn't Stripe 2026 — it's Stripe 2018 or Databricks 2019, when similar equity math was in play.

## Benefits & Remote-First Perks

Supabase's benefits package reflects two things simultaneously: a well-funded company with $544M raised, and a remote-first culture that has thought carefully about what distributed engineers actually need. The package isn't extravagant, but it's thoughtfully designed for async, distributed work.

-   **Remote stipend:** Monthly allowance to cover home office costs, internet, and equipment
-   **Equipment budget:** Dedicated budget for laptop, monitor, peripherals at hire date
-   **Co-working space:** Budget for local co-working if you prefer not to work from home full-time
-   **Health insurance:** Medical, dental, and vision for US-based employees; coverage varies by country
-   **Time off:** Generous, flexible PTO policy — Supabase trusts engineers to manage their time
-   **Open-source contribution:** Paid time to contribute to open-source projects is part of the culture, not just an allowance

Notably absent from the Supabase perks list: lavish on-site gyms, catered lunches, and the office theater of Silicon Valley. The company has been explicit that it's optimizing for engineering output and developer autonomy, not perks that require you to be in a specific building to access them.

Worth Noting "Benefits infrastructure at a 300-person fully remote company is harder to execute than at a 3,000-person office-anchored company. International benefits coverage, tax compliance across dozens of countries, and contractor-versus-employee nuances are real complexities at Supabase's current stage."

## Culture, WLB & What the Ratings Actually Mean

Supabase's 4.8 Glassdoor overall rating is exceptional — but it comes with a significant caveat. The sample size is small (roughly six reviews as of mid-2026), which means the number reflects an early-adopter signal rather than a mature population of feedback. The 3.0 WLB score is more telling, and more consistent with what you'd expect from a company growing 250% year-over-year.

Overall Rating 4.8

Work-Life Balance 3.0

Glassdoor Rating 4.8

The 3.0 WLB score isn't unusual for a company at this stage and growth rate. Supabase is [shipping fast](https://jobsbyculture.com/values/ship-fast), expanding the platform constantly, and competing against AWS, Google Firebase, and a dozen point-solution tools simultaneously. That context shapes what working there actually feels like day to day.

The culture values that actually hold up under scrutiny: [open-source](https://jobsbyculture.com/values/open-source) (the core product and major libraries are open), [remote](https://jobsbyculture.com/values/remote) (genuinely distributed across 30+ countries), [engineering-driven](https://jobsbyculture.com/values/eng-driven) (engineers set product direction), [flat](https://jobsbyculture.com/values/flat) (at 300 people, management layers are limited), and [async](https://jobsbyculture.com/values/async) (the company runs on written communication, not meetings). The [ship-fast](https://jobsbyculture.com/values/ship-fast) culture is real — the pace of Supabase's feature velocity is one of the reasons developers love it and one of the reasons the WLB score is where it is.

### The async advantage

One genuine perk that doesn't show up in a benefits summary: working at a truly async company means you own your schedule in a way that most tech companies, even "remote-friendly" ones, don't deliver. No mandatory standup at 9AM Pacific that ruins your evening in Amsterdam. No synchronous decision-making that excludes the engineer in Singapore from the conversation. Supabase has built the infrastructure, the culture, and the tooling for async work because it has to — the team is actually distributed, not just technically remote while everyone happens to be in San Francisco.

## The Open-Source Premium

Working at Supabase carries a reputational benefit that doesn't show up in the offer letter but materially affects your career trajectory. The codebase is public. Your contributions are attributable and visible. When you ship something at Supabase, it is used by 4 million developers, and the Hacker News discussion about it has your name on the commit. For engineers who care about visibility, community, and long-term career capital, this matters.

This is qualitatively different from working on a closed-source enterprise product where your best work is invisible outside the company. Engineers who leave Supabase carry a portfolio that includes public, widely-adopted open-source contributions — a significant advantage in the next job search, founding a company, or building a consulting practice.

The Open-Source Career Premium "Supabase's open-source code has stars on GitHub that many engineers will never accumulate in a full career at a closed-source company. That visibility compounds over time into conference invitations, advisory roles, and hiring leverage."

## Negotiation Tips for Supabase Offers

### 1\. Know your geo band before you negotiate

Supabase uses location-adjusted compensation, so the first question in any negotiation is: which band does my location put me in? If you're in a high-cost city but the company places you in a mid-tier band, that's the leverage point. If you're in a genuinely low-cost area, the band may be non-negotiable on base, but equity and signing bonus can move.

### 2\. The equity story is compelling — verify the details

Before accepting, confirm: What is the current 409A valuation (the value used to price your options)? How long is your exercise window after leaving? Does the company have a secondary sale program or tender offer history? At a $5B company targeting $10B, these details can represent six figures in value or tax liability.

### 3\. Push on the $10B timeline

If the company is reporting a $10B target for 2026, ask where they are in the fundraising process. A grant priced at $5B that becomes $10B before your cliff is one of the best possible outcomes in private-market compensation. Timing your start date relative to the next financing event can meaningfully change the math on your equity.

### 4\. Benchmark against async-remote peers

Supabase competes for talent with [Vercel](https://jobsbyculture.com/companies/vercel), [Linear](https://jobsbyculture.com/companies/linear), and [PostHog](https://jobsbyculture.com/companies/posthog). All three are remote-first and engineer-centric. If you have offers from these companies, use them. They operate in the same talent market and respond to competitive pressure.

### 5\. Ask about refresh grants

After your initial 4-year grant runs out, what does Supabase's refresh grant policy look like? At companies growing this fast, annual refresh grants can be substantial. Understanding the long-term equity picture beyond the initial grant is part of evaluating a multi-year commitment.

### Explore Supabase Opportunities

Browse all 51 open roles at Supabase — from backend engineering to developer relations to infrastructure.

[Browse Supabase Jobs →](https://jobsbyculture.com/jobs?company=supabase) [View Culture Profile →](https://jobsbyculture.com/companies/supabase)

## Frequently Asked Questions

What is the base salary range for engineers at Supabase? +

Based on verified compensation data, Supabase Software Engineers earn base salaries ranging from $135K to $192K depending on geography, with SF-based engineers earning $160K to $205K. Senior Software Engineers have a median around $201K with a range of $162K to $255K, reaching $313K at the 90th percentile for total compensation.

How does Supabase equity work? +

Supabase is a private company valued at $5B following its Series E in October 2025. Equity is typically granted as stock options over a 4-year vesting period with a 1-year cliff. Grant ranges of $120K to $240K over four years are typical, with equity priced at the current 409A valuation. The company is reportedly targeting a $10B valuation in 2026, which would double the value of unvested grants for existing employees.

What is Supabase's total compensation? +

Total compensation at Supabase varies significantly by geography due to its fully remote structure. Median total comp ranges from roughly $115K to $192K for Software Engineers, with Senior Engineers reaching $201K median and $313K at the 90th percentile. Equity grants of $120K to $240K over four years add substantial value, particularly given the $5B current valuation and $10B target.

Does Supabase offer remote work? +

Yes — Supabase is fully remote and has been since founding. The company operates asynchronously with team members across 30+ countries. Remote work is not a perk at Supabase; it's a core operating principle. The company provides a remote work stipend, co-working space budget, and equipment budget to support distributed work.

How does Supabase compensation compare to Vercel, Linear, and PostHog? +

Supabase base salaries are broadly in line with remote-first dev tools peers. Vercel engineers earn $190K–$270K at a ~$3.5B valuation. Linear pays similarly. PostHog is more transparent about pay bands but skews slightly lower at a ~$500M valuation. Supabase's differentiation is its $5B valuation, $70M ARR growing 250% YoY, and a stated goal of $10B in 2026 — creating meaningful equity upside relative to smaller-stage peers.

What benefits does Supabase offer? +

Supabase benefits include health insurance, a remote work stipend, equipment budget, co-working space budget, and generous time off. As a fully remote company with ~250–350 employees, the benefits package is solid but less comprehensive than large public companies. The culture values async work, open-source contribution, and engineering autonomy over traditional perks.

Is Supabase going to IPO? +

Supabase has not announced an IPO. The company raised a Series E at a $5B valuation in October 2025 and has reportedly been seeking a $10B valuation in 2026. With $70M ARR growing 250% year-over-year and 4M+ developers on the platform, the company is on a trajectory that could support a public offering, but no timeline has been confirmed. Liquidity for current employees remains dependent on a future IPO, acquisition, or secondary sale.

How many employees does Supabase have? +

Supabase has approximately 250–350 employees as of 2026, distributed globally across 30+ countries. The company is growing rapidly with its recent $544M in total funding and $5B valuation, but maintains a relatively lean headcount relative to its developer adoption and revenue trajectory.

---

## Document: Twilio Compensation in 2026: Salary, RSUs & Total Comp by Level

# Twilio Compensation in 2026: Salary, RSUs & Total Comp by Level

> Twilio engineer compensation in 2026: $149K-$522K+ total comp across 6 levels, quarterly RSU vesting, remote-first pay, and how it compares after 4 rounds of layoffs.

Source: https://jobsbyculture.com/blog/twilio-compensation-2026
Markdown: https://jobsbyculture.com/blog/twilio-compensation-2026.md
Last updated: 2026-07-14

---
[Twilio](https://jobsbyculture.com/companies/twilio) occupies an unusual position in the 2026 tech compensation landscape. The company that pioneered cloud communications APIs — the infrastructure behind every OTP code, appointment reminder, and two-factor auth prompt you've ever received — has been through a bruising transformation. Between September 2022 and June 2025, Twilio shed approximately 4,000 employees across four rounds of layoffs, cut entire product lines (RIP Twilio Segment as a standalone), and refocused on profitability. The result: Q1 2026 revenue hit $1.39 billion, up 20% year-over-year, margins are up, and headcount has stabilized.

The compensation picture at the new, leaner Twilio is worth understanding. The company still pays competitively — median engineer total comp sits around $297K — but the mix of base, RSUs, and equity upside looks different than it did during the growth-at-all-costs era. Here's the full breakdown.

## Compensation at a Glance

$297K

Median Engineer Total Comp

6

IC Engineering Levels

4.1 / 5

Work-Life Balance

## Total Compensation by Level

Twilio uses a six-tier IC engineering ladder, from IC1 (new grad) through IC6 (Senior Principal Engineer). Here's what each level pays based on verified employee-reported compensation data:

Level

Title

Base

RSUs/yr

Bonus

Total

IC1

Software Engineer 1

$123K

$26K

~$0.3K

$149K

IC2

Software Engineer 2

$148K

$45K

—

$193K

IC3

Software Engineer 3

$180K

$63K

~$2K

$244K

IC4

Staff Engineer

$226K

$142K

—

$368K

IC5

Principal Engineer

$247K

$205K

—

$451K

IC6

Senior Principal

$259K

$246K

~$18K

$522K

Several patterns stand out in this data. First, the jump from IC3 to IC4 is where Twilio's compensation gets genuinely competitive — total comp leaps from $244K to $368K, a 51% increase driven almost entirely by RSUs. If you're evaluating a Twilio offer, level matters enormously. An IC4 offer is a fundamentally different proposition than an IC3.

Second, RSUs become the dominant component at senior levels. At IC6, equity ($246K) nearly matches base salary ($259K). That means your effective compensation is heavily tied to Twilio's stock price — which is both opportunity and risk. After dropping 80%+ from its 2021 peak above $400, TWLO has recovered meaningfully but remains well below pandemic highs. For new hires getting grants at current prices, the upside thesis depends on continued revenue growth and margin expansion.

## How RSUs Work at Twilio

Understanding RSU mechanics is critical because equity makes up 30–47% of total comp at senior levels.

-   **Vesting schedule:** Standard 4-year vest with a 1-year cliff. After the cliff, remaining shares vest quarterly. This is more liquid than many startups but less aggressive than companies like Amazon (which backloads equity to years 3–4).
-   **Tax treatment:** RSUs are taxed as ordinary income when they vest. Federal withholding is a flat 22% on the first $1M in stock compensation income per year. State taxes apply on top. In California, that means vesting events can feel like 40%+ of the grant evaporates to taxes.
-   **Refresh grants:** Twilio offers annual refresh grants to retain employees, though the size and consistency of refreshes has been a source of mixed feedback — some employees report generous top-ups, while others say refresh grants haven't kept pace with initial offers.

Employee Pro "Compensation is competitive, especially at Staff level and above — RSU vesting quarterly is a nice touch compared to annual cliff companies"

Employee Con "Stock price volatility means your actual comp can swing 20–30% year-to-year depending on when RSUs vest — hard to plan around"

## The Remote-First Factor

Twilio went fully [remote-first](https://jobsbyculture.com/values/remote) during 2020 and hasn't looked back. They closed their San Francisco headquarters and now operate as a distributed company. This has real implications for compensation:

-   **Location-based bands:** Twilio adjusts compensation by location, with SF and NYC at the top and lower cost-of-living areas receiving adjusted offers. However, the bands are generally considered fair compared to companies with strict geographic pay cuts.
-   **Arbitrage opportunity:** An IC4 earning $368K while living in Austin, Denver, or Raleigh — where the same money stretches 40–60% further than SF — is one of the strongest comp-to-cost ratios in enterprise tech. This is a real competitive advantage that Twilio doesn't always get credit for.
-   **Home office stipend:** Twilio provides allowances for home office setup, which, while not massive, reflects the company's genuine commitment to remote work (not just pandemic-era tolerance).

For engineers who don't want to live in the Bay Area but want Bay Area–adjacent compensation, Twilio is one of the strongest options. Compare this with companies like [Stripe](https://jobsbyculture.com/companies/stripe) (hybrid, location-adjusted) or [Coinbase](https://jobsbyculture.com/companies/coinbase) (remote-first but with tighter geographic bands).

## How Twilio Stacks Up

Where does Twilio's comp sit relative to the broader market? Here's how the median IC3–IC4 range compares to similar companies:

-   **Above Twilio ($350K+ median):** [Stripe](https://jobsbyculture.com/companies/stripe), [Databricks](https://jobsbyculture.com/companies/databricks), [Anthropic](https://jobsbyculture.com/companies/anthropic), [OpenAI](https://jobsbyculture.com/companies/openai) — frontier AI labs and top-tier fintech pay more, but often require Bay Area presence and operate at significantly higher intensity
-   **On par with Twilio ($250K–$350K median):** [Datadog](https://jobsbyculture.com/companies/datadog), [Cloudflare](https://jobsbyculture.com/companies/cloudflare), [MongoDB](https://jobsbyculture.com/companies/mongodb), [Elastic](https://jobsbyculture.com/companies/elastic) — established enterprise infrastructure companies with similar comp structures and stability
-   **Below Twilio ($180K–$250K median):** [HubSpot](https://jobsbyculture.com/companies/hubspot), [Webflow](https://jobsbyculture.com/companies/webflow), [Asana](https://jobsbyculture.com/companies/asana) — strong cultures but lower total comp, often offset by work-life balance or mission alignment

The key insight: Twilio pays like a large enterprise tech company because it is one. $1.39B in quarterly revenue, publicly traded, 153 open roles on our platform. The comp reflects mature, established infrastructure — not startup equity lottery tickets or frontier AI premiums. For many engineers, that predictability is the point.

## Benefits Beyond Cash and Equity

Twilio's benefits package complements the compensation with a focus on flexibility and employee wellbeing:

-   **Healthcare:** Comprehensive medical, dental, and vision coverage. Multiple plan options with employer contributions that employees rate favorably.
-   **Parental leave:** Generous paid parental leave for both primary and non-primary caregivers. This is one of the areas where Twilio gets consistently positive feedback.
-   **Learning & development:** Annual stipend for conferences, courses, and professional development. [Learning](https://jobsbyculture.com/values/learning) is one of Twilio's core culture values and shows up in the budget allocation.
-   **401(k):** Employer match on retirement contributions.
-   **Flexible PTO:** Unlimited vacation policy, which in practice means most employees take 3–4 weeks per year. The culture around actually using PTO is generally positive — the 4.1/5 work-life balance score reflects this.

## The Post-Layoff Compensation Reality

There's no discussing Twilio comp in 2026 without addressing the elephant in the room: four rounds of layoffs that cut the company roughly in half. Here's how the layoffs affected the compensation landscape:

-   **Leaner teams, same scope:** Remaining engineers often absorbed the work of departed colleagues without proportional comp increases. This has been a friction point — employees report higher workloads, though the 4.1 WLB score suggests it hasn't become toxic.
-   **Stronger margins = more stable equity:** The layoffs were painful but effective from a business perspective. Revenue is up 20% while costs are down. For employees holding RSUs, a more profitable Twilio means a more compelling equity story than during the growth-at-all-costs era.
-   **Restructured focus:** Twilio consolidated around Communications APIs and voice AI, cutting experimental bets like standalone Segment. For engineers, this means clearer product direction but fewer internal mobility options than when Twilio was a conglomerate.

Employee Pro "Great work-life balance, strong remote culture, and competitive compensation — company culture is incredibly positive and employees are treated like real humans"

Employee Con "Constant layoffs and reorgs created uncertainty — you're always wondering when the next round will hit and if your team will survive"

## Glassdoor Ratings

Twilio has a 3.9 overall Glassdoor rating from 2,291+ employee reviews. Here's the sub-category breakdown:

Work-Life Balance 4.3

Culture & Values 4.0

Overall Rating 3.9

Career Opportunities 3.6

The pattern tells a clear story: Twilio is a genuinely good place to work day-to-day (WLB 4.3 is exceptional for a company this size), with a strong culture (4.0), but the layoff-driven instability has dragged down career opportunity scores and overall sentiment. If job security and clear promotion paths matter to you, weigh the 3.6 career opportunities score seriously. If work-life balance and remote flexibility are your priorities, Twilio is one of the strongest options in enterprise tech.

## Who Should Consider Twilio

Twilio compensation works best for a specific profile:

-   **Remote-first engineers who want stability.** If you want a $250K–$450K total comp package without relocating to SF or NYC, Twilio's remote-first model with quarterly RSU vesting is hard to beat. The company has 153 open roles on our platform right now.
-   **IC3–IC4 career stage.** The biggest comp jump happens at Staff level. If you're approaching that transition, a Twilio offer at IC4 ($368K) is significantly more attractive than IC3 ($244K). Negotiate for level, not just dollars.
-   **Engineers who value [work-life balance](https://jobsbyculture.com/values/wlb).** The 4.1 WLB score on our platform (4.3 on Glassdoor) reflects a company that genuinely respects personal time. For a $1.4B/quarter revenue company, that's remarkably rare.

Twilio is _less_ ideal if you're chasing maximum total comp (frontier AI labs pay more), want rapid career advancement (the leaner org has fewer promotion opportunities), or need assurance against future layoffs (though the worst appears to be over, the scar tissue is real).

## Frequently Asked Questions

What is the average software engineer salary at Twilio?+

The median total compensation for software engineers at Twilio is approximately $297K per year in the United States. This includes base salary ($148K–$259K depending on level), RSUs ($26K–$246K/year), and potential bonuses. Compensation ranges from $149K at IC1 to $522K+ at IC6.

How do Twilio RSUs vest?+

Twilio RSUs follow a standard 4-year vesting schedule with a 1-year cliff. After the cliff, shares vest quarterly. RSUs are taxed as ordinary income at vesting, with federal withholding at 22% on the first $1M. Annual refresh grants are available but vary in size.

How does Twilio comp compare to other tech companies?+

Twilio's median engineer comp of $297K sits in the mid-to-upper tier of enterprise tech companies. It's competitive with [Datadog](https://jobsbyculture.com/companies/datadog) and [Cloudflare](https://jobsbyculture.com/companies/cloudflare), above [HubSpot](https://jobsbyculture.com/companies/hubspot) and [Webflow](https://jobsbyculture.com/companies/webflow), but below frontier AI labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) ($300K–$490K) and [OpenAI](https://jobsbyculture.com/companies/openai) ($350K–$550K). Twilio's remote-first model lets you earn competitive comp from lower cost-of-living areas.

Does Twilio adjust pay by location?+

Yes. As a remote-first company, Twilio uses location-based pay bands. San Francisco and New York roles command the highest compensation. However, the geo-adjustments are generally considered fair, and the remote-first model means you can earn competitive pay from markets where living costs are 40–60% lower than SF.

What benefits does Twilio offer?+

Twilio offers comprehensive healthcare, generous parental leave, learning stipends, 401(k) with employer match, unlimited PTO, and home office setup allowances. The company's 4.1/5 work-life balance score reflects genuine flexibility and a culture that respects personal time.

Has Twilio had layoffs recently?+

Between September 2022 and June 2025, Twilio reduced headcount by approximately 4,000 employees across four formal rounds of layoffs. As of Q1 2026, headcount has stabilized, revenue hit $1.39B/quarter (up 20% YoY), and the company has 153 open roles on our platform — suggesting the worst is over. See our [Twilio culture profile](https://jobsbyculture.com/companies/twilio) for the full picture.

### Browse Twilio Jobs

See all 153 open roles at Twilio alongside jobs from 118 companies — all with culture context and compensation data.

[View Twilio Profile →](https://jobsbyculture.com/companies/twilio) [Browse Twilio Jobs →](https://jobsbyculture.com/jobs?company=twilio)

---

## Document: Vercel Salary 2026: $165K–$316K TC, Equity & How It Compares to Netlify, Cloudflare & Figma

# Vercel Salary 2026: $165K–$316K TC, Equity & How It Compares to Netlify, Cloudflare & Figma

> Vercel compensation in 2026: $165K-$316K+ total comp for engineers, with a median of $190K. Real compensation data from verified reports, equity structure, benefits breakdown, and how it compares to Netlify, Cloudflare, Supabase, and Figma.

Source: https://jobsbyculture.com/blog/vercel-compensation-2026
Markdown: https://jobsbyculture.com/blog/vercel-compensation-2026.md
Last updated: 2026-07-14

---
TL;DR — Key Takeaways

-   Vercel’s median software engineer total compensation is **~$190K/year**, ranging from **$165K to $316K+** according to verified salary reports (updated April 2026).
-   Equity is granted as **pre-IPO stock options or double-trigger RSUs** — significant upside if Vercel goes public, but illiquid until a liquidity event.
-   Benefits include an **annual home office stipend, monthly fitness & connectivity reimbursement, and professional development funds** — but notably no 401(k) employer match.
-   Glassdoor overall score of **4.1/5** (110 reviews), with 74% recommending and 78% CEO approval (Guillermo Rauch). Comp & Benefits score: **4.3/5**.

In This Article

1.  [Quick Stats at a Glance](#glance)
2.  [The Short Version](#short-version)
3.  [Base Salary by Role](#base-salary)
4.  [Equity Structure](#equity)
5.  [Bonus Structure](#bonus)
6.  [Benefits & Perks](#benefits)
7.  [How Vercel Compares](#comparison)
8.  [The Culture Trade-Off](#culture-trade-off)
9.  [Negotiation Tips](#negotiation)
10.  [Frequently Asked Questions](#faq)

[Vercel](https://jobsbyculture.com/companies/vercel) is one of the most consequential developer infrastructure companies in the world. As the creator and primary steward of **Next.js** — the React framework used by companies like Netflix, TikTok, and OpenAI — as well as Turbopack and the v0.dev AI coding tool, Vercel sits at the intersection of open-source leadership and enterprise cloud infrastructure. With roughly 600 employees, a $3.5B valuation, and a deeply [ship-fast](https://jobsbyculture.com/values/ship-fast) culture, Vercel is a compelling destination for frontend and infrastructure engineers who want to shape how the web is built.

But how much does Vercel actually pay? In raw numbers, it is competitive rather than exceptional — with total compensation ranging from $165K to $316K+ for software engineers. The more interesting question is the equity story: what happens to Vercel’s pre-IPO stock when the company eventually goes public or is acquired? That is the bet most Vercel employees are making, and it’s a credible one. Below is the full breakdown.

## Quick Stats at a Glance

Component

Detail

Company

Vercel

Founded

2015, by Guillermo Rauch

Employees

~600

Valuation

~$3.5B (private)

Glassdoor overall

4.1 / 5.0 (110 reviews)

Comp & Benefits score

4.3 / 5.0

Work-Life Balance

3.4 / 5.0

Recommend to friend

74%

CEO approval

78% (Guillermo Rauch)

Engineer TC range

$165K–$316K+ (verified compensation reports)

Median engineer TC

~$190K (software engineer); ~$205K (full-stack)

Equity type

Pre-IPO stock options / double-trigger RSUs

Open roles

See [live Vercel jobs](https://jobsbyculture.com/jobs?company=vercel)

$190K

Median software engineer total compensation at Vercel — competitive for a pre-IPO infrastructure company

## The Short Version

Vercel compensation is structured around three components: base salary, pre-IPO equity, and performance bonuses. For a typical mid-level software engineer, total compensation lands around $190K–$250K per year. At senior levels, it rises to $240K–$316K+. The overall verified compensation reports median across all Vercel roles (including product, design, and go-to-market) is approximately $220K.

What differentiates Vercel’s compensation story is its equity profile. As a private company valued at roughly $3.5B, Vercel employees hold pre-IPO stock that could be worth significantly more at a future liquidity event. Reports suggest Vercel uses **double-trigger RSUs** — a structure where shares only fully vest once both a time component and a liquidity event (such as an IPO or acquisition) are met. This protects against a tax hit before employees can actually sell shares, but it also means the equity has zero liquidity until that event happens.

If you’re drawn to [open-source](https://jobsbyculture.com/values/open-source) impact, care deeply about developer tooling, and believe in Vercel’s trajectory, the equity is a meaningful upside. If you need immediate liquidity from equity, look elsewhere.

## Base Salary by Role

Vercel does not publish salary bands publicly. The figures below are drawn from verified compensation reports, Glassdoor, and reported offer data as of April 2026.

Role

Level

Base Salary Range

Est. Total Comp

Software Engineer

Mid-Level

$150K–$185K

$165K–$225K

Full-Stack Engineer

Mid-Level

$155K–$195K

$170K–$240K

Senior Software Engineer

Senior

$165K–$230K

$200K–$303K

Staff / Principal Engineer

Staff

$200K–$260K

$250K–$316K+

Engineering Manager

Manager

$190K–$240K

$210K–$280K+

The highest reported total compensation package in verified compensation reports for a Vercel engineer was $316,250 — combining base salary, equity grant value, and bonus. Full-stack engineers with specialized experience in Next.js, edge computing, or AI-native tooling appear to command the upper end of these ranges, given the direct alignment with Vercel’s core product bets.

Interested in Vercel roles? See what’s open now. [Browse open Vercel positions →](https://jobsbyculture.com/jobs?company=vercel)

## Equity Structure

Vercel’s equity is the most interesting and most opaque component of its compensation. As a private company, Vercel cannot offer publicly-traded stock. Instead, employees receive either **stock options** or, more likely for recent hires, **double-trigger RSUs**. Here is what reports suggest about how this works in practice:

-   **Double-trigger RSU structure.** Private companies increasingly use double-trigger RSUs to prevent employees from owing taxes on vested shares before a liquidity event. The first trigger is time-based vesting (e.g., 4 years with a 1-year cliff at 25%, then monthly). The second trigger is a qualifying liquidity event — typically an IPO or acquisition. Until both triggers fire, shares do not settle and no tax is owed.
-   **Valuation context.** Vercel was last valued at approximately $3.25–$3.5B in its Series E round. At current secondary market pricing, reports suggest Vercel shares trade at around $158–$165 per share (per notice.co data). This gives employees a reasonably concrete sense of their equity value, even before a public listing.
-   **No tender offer history documented.** Unlike OpenAI (which runs regular tender offers), there is no widely reported secondary liquidity program at Vercel. Employees should assume equity is illiquid until an IPO or acquisition.
-   **Refresher grants.** Senior employees typically receive equity refreshers tied to performance reviews, though the structure is not publicly documented.
-   **Option grants for early employees.** If you joined Vercel before 2022, you likely received stock options rather than RSUs. Options require an exercise price and can expire, adding complexity — particularly important to understand if you leave the company.

Pro — Glassdoor review “Great equity package given the company’s growth trajectory. You’re betting on an IPO, and I think it’s a solid bet. The product is used by millions.”

Con — Glassdoor review “Compensation is competitive but not top-tier compared to FAANG. The equity is the real bet, and you have to be patient — no guaranteed liquidity timeline.”

Related Reading

-   [Vercel Culture Profile: Glassdoor Ratings, Values & Employee Reviews](https://jobsbyculture.com/companies/vercel)
-   [OpenAI Compensation 2026: Salary, PPU Equity, Bonus & How It Compares](https://jobsbyculture.com/blog/openai-compensation-2026)
-   [Highest-Paying AI & Tech Companies in 2026: Full Ranking](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

## Bonus Structure

Vercel offers performance-based bonuses, though details are less publicly documented than at larger companies. Here is what reports suggest:

-   **Annual performance bonus:** Reports suggest bonuses in the range of 10–20% of base salary, tied to individual and company performance milestones. For a senior engineer with a $210K base, that could represent $21K–$42K in additional annual cash.
-   **Signing bonuses:** Signing bonuses are offered for senior and staff hires, particularly to offset unvested equity at a candidate’s current employer. These are negotiable and can range from $20K to $80K+ depending on the role and seniority.
-   **No documented profit-sharing program.** Unlike some infrastructure companies, Vercel does not have a widely reported profit-sharing or commission structure for most engineering roles.

Given Vercel’s overall compensation structure, the performance bonus is a meaningful but not dominant component of total comp. The equity upside remains the primary variable-pay bet for most employees.

## Benefits & Perks

Vercel’s benefits package reflects its remote-first culture — practical, focused on enabling great work from anywhere. Based on employee review data and reported employee experiences:

-   **Home office stipend:** Vercel provides an annual home office stipend that resets each year — a genuine benefit for remote engineers equipping their workspace. Reports suggest this is a few thousand dollars per year.
-   **Monthly fitness reimbursement:** A monthly stipend to cover gym memberships, fitness apps, or wellness expenses — consistent with remote-first companies that want to offset the sedentary risks of working from home.
-   **Connectivity reimbursement:** Monthly reimbursement for home internet or phone bills — standard for remote-first companies but not universal.
-   **Professional development funds:** Dedicated budget for conferences, online courses, and skill development. As the company behind Next.js, Vercel encourages engineers to stay current in the rapidly evolving frontend ecosystem.
-   **Health insurance:** Medical, dental, and vision coverage for employees and dependents.
-   **Parental leave:** Reports suggest generous parental leave, consistent with Vercel’s remote-first, employee-first culture posture.
-   **No 401(k) employer match (reported):** A notable gap. Multiple Glassdoor reviews mention the lack of a 401(k) match as a specific con. For engineers who prioritize long-term retirement savings, this is worth factoring into your total compensation calculation.
-   **Generous PTO:** Vercel offers flexible paid time off, though the 3.4/5 work-life balance score suggests the pace can make truly unplugging difficult in practice.

Pro — Glassdoor review “Home office stipend and connectivity reimbursement are real. The setup is genuinely good. Company actually invests in making remote work well.”

Con — Glassdoor review “No 401k match is a meaningful miss. At this stage of the company they can afford it. It stands out when you compare to companies that do offer a match.”

## How Vercel Compares to Netlify, Cloudflare, Supabase & Figma

Vercel competes for frontend infrastructure and developer tools talent primarily with Cloudflare, Netlify, Supabase, and Figma. Here is how compensation stacks up across the peer set, based in verified compensation reports and Glassdoor data:

Company

Engineer TC Range

Median TC

Glassdoor

Equity Type

[Vercel](https://jobsbyculture.com/companies/vercel)

$165K–$316K+

~$190K

4.1 / 5

Pre-IPO (private)

Cloudflare

$146K–$326K+

~$205K

4.3 / 5

Public RSUs (liquid)

Netlify

$104K–$179K+

~$179K

3.6 / 5

Pre-IPO (private)

Supabase

~$90K–$160K+

~$103K

4.4 / 5

Pre-IPO (private)

Figma

$221K–$780K+

~$415K

4.5 / 5

Adobe acquisition context

Key takeaways from the comparison:

-   **Cloudflare pays more in median TC and offers liquid equity.** Cloudflare engineers earn a median ~$205K with publicly-traded RSUs, versus Vercel’s $190K with illiquid pre-IPO stock. For engineers who want compensation certainty, Cloudflare has a clear structural advantage.
-   **Vercel pays significantly more than Netlify.** Netlify’s median TC of ~$179K trails Vercel by about 6%, and Netlify’s Glassdoor score of 3.6 is notably lower. For engineers choosing between the two direct competitors in frontend deployment, Vercel offers better compensation and a more compelling product story.
-   **Supabase pays less but has exceptional Glassdoor scores.** Supabase’s 4.4/5 Glassdoor rating and its position as a fast-growing open-source database platform give it strong cultural appeal, even as cash compensation trails. The equity bet at Supabase may be comparable to Vercel’s at this stage.
-   **Figma pays the most by a wide margin**, though the post-Adobe-acquisition-failure context adds complexity. Figma engineers earn a median ~$415K, roughly 2x Vercel — reflecting Figma’s larger scale, public-company comparables, and the comp resets that followed the failed Adobe acquisition.

4.3 / 5

Vercel’s Glassdoor Compensation & Benefits score — the highest among direct frontend deployment peers

## The Culture Trade-Off: Ship-Fast at What Cost?

Any honest look at Vercel compensation requires examining the culture context it comes in. Vercel is a [ship-fast](https://jobsbyculture.com/values/ship-fast), [engineering-driven](https://jobsbyculture.com/values/eng-driven) company that created Next.js, open-sources extensively, and runs weekly release cycles. The product quality is exceptional. The impact is real — Next.js powers a significant portion of the modern web.

The trade-off is pace and standards. Vercel’s work-life balance score of 3.4/5 on Glassdoor is the lowest-rated dimension of the company, and multiple reviews use phrases like “relentless” and “very high bar.” CEO Guillermo Rauch has a 78% approval rating — strong but below the 90%+ seen at companies with more protective cultures. This is the profile of a company where excellent engineers thrive and ordinary engineers struggle.

Pro — Glassdoor review “Best engineering peers I’ve ever worked with. The bar is sky-high but so is the output. Your work is used by millions of developers. That matters.”

Con — Glassdoor review “High expectations and fast pace can lead to burnout. Leadership sets very high standards that aren’t for everyone. Not a culture where work-life balance is protected.”

For compensation purposes, the implication is clear: Vercel pays market rates, but the intensity of the role means you are working harder for those rates than you might elsewhere. If maximizing compensation-per-hour-worked is the goal, Cloudflare or a larger public company likely offers a better deal. If you want to work on defining technology with a world-class engineering team and you have the appetite for the pace, Vercel’s combination of market comp, pre-IPO equity, and mission is compelling.

## Negotiation Tips

If you receive a Vercel offer, here is how to approach the negotiation:

-   **Negotiate the equity grant, not just base salary.** Base salary at Vercel is relatively range-bound. The equity component — number of shares, vesting schedule, and implied value at current secondary pricing — is where you have the most room. A 20% increase in your grant could be worth $20K–$50K+ per year if Vercel goes public at a premium.
-   **Get clarity on equity structure.** Ask explicitly: are these stock options or RSUs? What is the double-trigger structure? What was the most recent 409A valuation? What is the current secondary market price? Recruiters may not volunteer this information, but you have the right to ask before signing.
-   **Use competing offers from Cloudflare, Figma, or similar companies.** Competing offers from public companies with liquid equity are especially powerful because they force Vercel to articulate the liquidity risk premium in their equity. A Cloudflare offer is an excellent reference point for negotiating both base and grant size.
-   **Ask about the 401(k) situation.** Since Vercel does not match 401(k) contributions (per reports), you can reasonably request a higher base salary or signing bonus to account for the $6K–$10K/year you are foregoing in employer match relative to companies that offer it.
-   **Signing bonuses are available for senior hires.** Particularly if you are leaving unvested equity elsewhere, ask for a signing bonus to bridge the gap. This is standard practice and unlikely to derail an offer at the senior or staff level.
-   **Level negotiation matters.** As with any company, being leveled as senior vs. staff has a larger impact on total comp than any negotiation at a fixed level. If you can make the case for a higher level during the interview process, do so.

### Is Vercel Compensation Worth It?

Vercel pays competitive but not exceptional cash compensation ($165K–$316K+ TC for engineers), with the real bet being pre-IPO equity in a $3.5B company that is central to the future of web infrastructure. The Glassdoor Comp & Benefits score of 4.3/5 reflects broadly positive employee sentiment, though the absence of a 401(k) match and the 3.4/5 work-life balance score are real considerations. Compared to peers, Vercel pays more than Netlify, similarly to Cloudflare (with less liquid equity), and significantly less than Figma. The strongest case for joining Vercel is for engineers who want to build next-generation developer tooling, believe in the open-source mission behind Next.js and Turbopack, and can thrive in a ship-fast culture — with the equity upside as a secondary prize if the company IPOs at a meaningful step-up from current valuations.

## Open Positions at Vercel

Vercel is actively hiring across engineering, product, design, and go-to-market roles. With its focus on [open-source](https://jobsbyculture.com/values/open-source) (Next.js, Turbopack), AI-native tooling (v0.dev), and enterprise infrastructure, the company’s hiring reflects these strategic priorities. Most engineering roles are remote-friendly, consistent with Vercel’s remote-first culture.

For the full list of live openings, visit the [Vercel jobs page](https://jobsbyculture.com/jobs?company=vercel). You can also explore the [Vercel culture profile](https://jobsbyculture.com/companies/vercel) for Glassdoor ratings, employee reviews, and culture values.

## Frequently Asked Questions

What is the average salary at Vercel in 2026?+

According to verified salary reports (updated April 2026), the median total compensation for a software engineer at Vercel is approximately $190K per year, with the highest reported packages reaching $316K+. The median across all Vercel roles is approximately $220K. Full-stack engineers report a slightly higher median of $205K. Compensation includes base salary, equity (stock options or RSUs), and performance bonuses.

Does Vercel offer equity to employees?+

Yes. As a private, venture-backed company, Vercel grants employees stock options or restricted stock units (RSUs) as part of their total compensation. Reports suggest Vercel uses double-trigger RSUs common to pre-IPO companies, meaning vesting is tied to both a time component and a liquidity event (e.g., IPO or acquisition). Equity is a meaningful component of total compensation at senior levels, with some reported packages including $80K–$150K+ in annual equity value at current secondary market pricing. At a $3.5B valuation, the upside could be significant if Vercel goes public at a step-up. See [open Vercel roles](https://jobsbyculture.com/jobs?company=vercel).

How much does a senior software engineer at Vercel make?+

According to Glassdoor and verified compensation data, a senior software engineer at Vercel earns approximately $195K–$303K in total compensation. The base salary component for senior engineers is typically in the $165K–$230K range, with equity grants and performance bonuses making up the remainder. Total compensation at the 90th percentile for senior engineers reportedly reaches $303K or more per year.

How does Vercel compensation compare to Cloudflare?+

Vercel and Cloudflare offer broadly comparable total compensation for engineers. Cloudflare’s median software engineer TC is around $205K, with the range running from $146K to $326K+ according to verified compensation reports — very similar to Vercel’s $165K–$316K range. Cloudflare is a publicly traded company, which means engineers receive liquid RSUs, while Vercel equity requires a liquidity event before it can be realized. For engineers who prioritize equity certainty, Cloudflare’s public stock has a structural advantage over Vercel’s pre-IPO grants.

What benefits does Vercel offer employees?+

Vercel offers a competitive benefits package that includes a home office stipend that resets annually, monthly fitness reimbursement, a connectivity reimbursement, and professional development funds. Vercel also offers generous PTO and strong parental leave policies. One notable gap reported by employees: there is no 401(k) employer match. Health, dental, and vision coverage is provided. As a remote-first company, the home office and connectivity stipends are particularly valuable for engineers setting up a quality remote workspace.

Is Vercel compensation competitive for frontend infrastructure engineers?+

Vercel is generally considered competitive but not top-of-market for frontend infrastructure engineers. Glassdoor reviews note compensation is solid for a company of Vercel’s stage (~$3.5B valuation, ~600 employees) but trails FAANG and large-cap public companies. The real upside is the equity: if Vercel goes public or is acquired at a premium, early employees could see substantial returns on pre-IPO stock. Vercel’s Glassdoor Compensation & Benefits score is 4.3/5, reflecting broadly positive but not exceptional sentiment compared to industry leaders.

Does Vercel pay more than Netlify?+

Yes, reports suggest Vercel pays more than Netlify across most engineering levels. Netlify’s median software engineer TC is approximately $179K according to verified compensation reports — lower than Vercel’s $190K median. Both companies operate in the frontend hosting and deployment space, but Vercel’s higher valuation (~$3.5B), faster growth trajectory, and position as the creator of Next.js translate into somewhat higher compensation packages. Vercel’s Glassdoor overall score (4.1) also substantially outperforms Netlify’s (3.6).

Is Vercel hiring in 2026?+

Yes — Vercel continues to hire across engineering, product, sales, and go-to-market roles. With approximately 600 employees and a $3.5B valuation, the company is investing in Next.js, Turbopack, AI-native tooling (v0.dev), and enterprise features. Engineering roles span frontend, infrastructure, developer experience, and edge computing. Most roles are remote-friendly, consistent with Vercel’s remote-first culture. Browse [current Vercel openings](https://jobsbyculture.com/jobs?company=vercel) for live listings.

### See all open Vercel roles

Filter by role, seniority, and culture values. Every listing includes compensation context.

[See Vercel Jobs →](https://jobsbyculture.com/jobs?company=vercel) [View Vercel Culture Profile →](https://jobsbyculture.com/companies/vercel)

---

## Document: Vercel Remote Work Policy 2026: Distributed-First, But With Anchor Days

# Vercel Remote Work Policy 2026: Distributed-First, But With Anchor Days

> Is Vercel remote-friendly in 2026? We analyzed all open roles and Glassdoor reviews: distributed-first culture with hybrid anchor days near SF, NY, London, and Berlin offices. Here

Source: https://jobsbyculture.com/blog/vercel-remote-work-policy-2026
Markdown: https://jobsbyculture.com/blog/vercel-remote-work-policy-2026.md
Last updated: 2026-07-14

---
If you’re evaluating [Vercel](https://jobsbyculture.com/companies/vercel) as an employer and remote work matters to you, the good news is that Vercel is genuinely committed to distributed work — more so than most companies its size. The caveat: their policy has a geography-dependent tier that will matter significantly depending on where you live.

The short answer: Vercel is **distributed-first with location-based hybrid requirements**. If you live near San Francisco, New York, London, or Berlin, you will have mandatory in-office anchor days. If you don’t live near any of these cities, you are fully remote. This is meaningfully better than most 600-person tech companies — but it’s not unconditional remote work.

## Vercel Remote Policy at a Glance

Metric

Detail

Official stance

Distributed-first — remote-friendly globally

Reality for remote employees

Fully remote if outside commuting distance of any office

Reality near offices

Anchor days Mon, Tue & Fri in-office

Employees

~600

HQ

San Francisco, CA

Other offices

New York, London, Berlin

International remote

Yes — Vercel hires across many countries

Glassdoor rating

3.9 / 5.0 (150+ reviews)

Work-life balance

3.4 / 5.0

Home office stipend

Yes — provided to remote employees

~600

Employees at Vercel, distributed across the globe — with offices in 4 cities

## How Vercel’s Remote Work Policy Actually Works

Vercel’s approach is more nuanced than a simple “remote” or “hybrid” label. The policy applies differently based on your proximity to one of four office cities:

-   **If you live outside commuting distance of any Vercel office** — your role is fully remote. No anchor days, no required travel to an office. You operate as a distributed team member from wherever you live.
-   **If you live within commuting distance of SF, NY, London, or Berlin** — your role includes mandatory in-office anchor days on Monday, Tuesday, and Friday. This is a structured hybrid arrangement, not “remote with optional in-person.”
-   **Home office support is real** — Vercel provides home office and wellness stipends. This is not marketing language; remote employees report receiving meaningful equipment budgets.
-   **International hiring is genuine** — unlike many US-centric companies that restrict remote roles to US residents, Vercel hires across multiple countries and time zones.

The practical implication: if you’re in Austin, Warsaw, or Tokyo, you’re likely fully remote regardless of role. If you’re in Brooklyn or Shoreditch, expect to be in-office three days a week for most positions.

## Which Roles at Vercel Tend to Be Fully Remote?

The location-based split applies across all departments, not just engineering. Based on current job listings, several patterns emerge:

-   **Engineering roles** — Vercel’s engineering team is the most distributed segment of the company. Core Next.js, Turbopack, and edge runtime engineers are spread globally. Software engineering roles frequently list multiple regions or “Remote” as an option.
-   **Trust & Safety and Security** — These roles often appear with fully remote designations, consistent with the specialized talent pool they draw from.
-   **Sales and customer-facing roles** — These are more likely to be tied to regional offices or specific US geographies (e.g., “Enterprise Account Executive — West US”). Go-to-market roles more commonly require proximity to an office hub.
-   **Product and design** — Mixed picture. Some product roles are distributed, others skew toward San Francisco given the concentration of leadership there.

The key signal: look at each job listing’s location requirements individually. Vercel explicitly states the anchor day policy in listings where it applies, so there is no ambiguity if you read the full description.

## Vercel Office Locations

Vercel maintains four physical offices, each of which creates the commuting-distance trigger for the anchor day policy:

San Francisco, CA

Headquarters · Largest office · Leadership and Go-to-Market hub

New York City, NY

Engineering and Sales presence · East Coast hub

London, UK

European HQ · Engineering and EMEA customer teams

Berlin, Germany

European engineering presence · Growing team

Outside these four cities, the distributed model is the default. Vercel does not have offices in Austin, Toronto, Amsterdam, or other common remote-worker hubs, which means most of the global team operates fully remote regardless of their country.

## What Employees Say About Remote Work at Vercel

Glassdoor reviews for Vercel paint a picture of genuine distributed culture built into how the company operates — but not without tension around pace and organizational stability:

Pro — Glassdoor review “100% remote friendly, great benefits and flexibility — easy to maintain a healthy work-life balance.”

Pro — Glassdoor review “Strong async culture and home office stipend that actually covers real equipment — not a token gesture.”

Con — Glassdoor review “High expectations and fast pace can lead to burnout over time. Priorities shift on a weekly basis.”

Con — Glassdoor review “Layoffs and reorgs have created a culture of uncertainty — it’s celebrated to be working on weekends and late nights.”

The 3.4/5 work-life balance score is the most important number to internalize. Remote flexibility at Vercel is real — but “remote” does not mean “slower.” Vercel’s ship-fast culture is genuinely fast, and reviewers consistently note that the pace is intense regardless of where you sit. Remote work gives you location flexibility; it does not soften the intensity of the work.

74% of Vercel employees would recommend the company to a friend, and CEO Guillermo Rauch has 78% approval on Glassdoor. For a company of this stage and pace, these numbers reflect a culture that is demanding but considered worth it by the majority of people who’ve been through it.

## Vercel vs. Netlify, Cloudflare, Supabase, and GitLab

If you’re evaluating developer infrastructure companies specifically on remote work flexibility, here’s the honest comparison:

Company

Remote Policy

Glassdoor

WLB

Int’l Remote

[Vercel](https://jobsbyculture.com/companies/vercel)

Distributed-first (anchor days near offices)

3.9

3.4

Yes

[GitLab](https://jobsbyculture.com/companies/gitlab)

100% remote, no offices, worldwide

3.7

3.9

Yes — all roles

[Supabase](https://jobsbyculture.com/companies/supabase)

Fully remote, same pay worldwide

4.8

3.0

Yes — all roles

Netlify

Remote-first, distributed (smaller team)

3.2

4.1

Yes

Cloudflare

Primarily hybrid — 375+ roles in-office/hybrid

3.3

3.4

Limited

The key takeaways from this comparison: GitLab and Supabase are the gold standard for unconditional remote — no offices, no anchor days, no geography-based tiers. Vercel is a strong second tier, genuinely distributed and international in a way Cloudflare is not. Netlify has a strong remote culture but a significantly reduced headcount after recent layoffs, limiting open roles.

If pure remote flexibility (no anchor days under any circumstances) is your priority, GitLab or Supabase are cleaner options. If you want a faster-moving, product-defining environment with strong distributed culture and you’re not near a Vercel office, Vercel is an excellent choice. See our [remote-friendly companies guide](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026) for a broader view across the market.

## Does Vercel Pay the Same for Remote vs. In-Office Employees?

Vercel uses a location-adjusted compensation model, meaning pay is calibrated to your location rather than a single universal rate. This is different from Supabase’s “same pay regardless of location” approach, but it is also not unusual for a US-headquartered company of Vercel’s stage.

Glassdoor rates Vercel’s compensation and benefits at 4.0/5 — strong, though reviewers note it is not FAANG-level. The company offers equity, benefits, and a home office stipend. For a deeper analysis of Vercel’s total comp packages, see our [Vercel compensation guide](https://jobsbyculture.com/blog/vercel-compensation-2026).

### The Bottom Line

Vercel is one of the best companies in developer infrastructure for distributed work — but “remote-first” is not the same as “unconditionally remote.” If you live outside commuting distance of San Francisco, New York, London, or Berlin, your experience will be genuinely fully remote. If you live near one of those cities, expect structured in-office days on Monday, Tuesday, and Friday. The culture is fast, the work is real, and the distributed infrastructure is genuine. For unconditional remote across all roles, look at [GitLab](https://jobsbyculture.com/companies/gitlab) or [Supabase](https://jobsbyculture.com/companies/supabase). If Vercel’s mission — building the future of the web — resonates and you’re not near an office, it’s a compelling place to work.

## Open Positions at Vercel

Vercel is actively hiring across engineering, sales, product, and operations roles. Many positions are listed with remote eligibility for candidates outside commuting distance of their four office locations. Role-specific location requirements are stated explicitly in each listing.

For live openings with location and department filters, visit the [Vercel jobs page](https://jobsbyculture.com/jobs?company=vercel) on JobsByCulture or explore the full [Vercel culture profile](https://jobsbyculture.com/companies/vercel) including Glassdoor ratings, employee reviews, and culture values.

## Frequently Asked Questions

Is Vercel remote friendly?+

Yes, Vercel is genuinely distributed-friendly — far more so than most companies of its size. The majority of roles are available to candidates outside commuting distance of any Vercel office, making them fully remote. However, if you live within commuting distance of San Francisco, New York, London, or Berlin, your role will include anchor days in-office on Monday, Tuesday, and Friday. Vercel is best described as “distributed-first with optional co-location,” not 100% remote.

What is Vercel's remote work policy in 2026?+

Vercel’s remote work policy in 2026 depends on your location. If you are beyond commuting distance from their offices in San Francisco, New York, London, or Berlin, you work fully remotely. If you are within commuting distance, the policy includes in-office anchor days on Monday, Tuesday, and Friday. Vercel provides home office stipends and wellness stipends to support remote employees globally. The company operates across many time zones and emphasizes strong async communication.

Where are Vercel's offices located?+

Vercel has offices in San Francisco, CA (headquarters), New York City, NY, London, UK, and Berlin, Germany. These are the four locations that trigger in-office anchor day requirements for employees within commuting distance. The company was founded by Guillermo Rauch in 2015 and is headquartered in San Francisco, though the team is distributed globally.

Can you work remotely at Vercel from outside the US?+

Yes, Vercel hires internationally and many roles are open to candidates worldwide. The company has team members across multiple countries and time zones. Unlike many US-centric tech companies, Vercel does not restrict remote work to US-only candidates for most roles. Candidates should check individual job listings for specific location requirements, as some roles (particularly go-to-market and sales positions) may have regional restrictions. See all [current Vercel openings](https://jobsbyculture.com/jobs?company=vercel) with location filters.

What do Vercel employees say about remote work?+

Glassdoor reviews reflect a genuinely remote-friendly culture with strong async communication norms and meaningful flexibility. The most common pros cited are “true remote flexibility,” “strong async culture,” and “home office stipend that actually covers real equipment.” The most common cons are “high pace can erode work-life balance over time,” “priorities shift frequently,” and “layoffs have created uncertainty.” Work-life balance is rated 3.4/5 on Glassdoor, reflecting a demanding but distributed environment. See the [full Vercel culture profile](https://jobsbyculture.com/companies/vercel) for more.

How does Vercel's remote policy compare to Netlify, Cloudflare, Supabase, and GitLab?+

Vercel’s policy sits between fully distributed and hybrid. GitLab is the gold standard for fully remote, operating with no offices and hiring worldwide. Supabase is fully remote with same pay regardless of location. Netlify is remote-first but has reduced headcount significantly. Cloudflare is primarily hybrid with 375 of its roles in office or hybrid arrangements. For pure remote flexibility, GitLab and Supabase edge out Vercel, but Vercel’s distributed culture is notably stronger than Cloudflare’s. If you want a high-momentum engineering company with strong remote culture and you’re not near a Vercel office, it’s one of the best options in developer tooling.

### Browse Vercel’s open roles

Filter by location, role type, and department. See which positions are available remotely.

[See Vercel Jobs →](https://jobsbyculture.com/jobs?company=vercel) [Vercel Compensation Guide →](https://jobsbyculture.com/blog/vercel-compensation-2026)

---

## Document: 100+ Welcome Back Messages for a Coworker (Warm, Funny & Professional) | JobsByCulture

# 100+ Welcome Back Messages for a Coworker (Warm, Funny & Professional) | JobsByCulture

> 100+ welcome back messages for a coworker returning from leave, vacation, or time away. Warm, funny, and professional — copy and paste into a card or Slack.

Source: https://jobsbyculture.com/blog/welcome-back-messages-for-coworker
Markdown: https://jobsbyculture.com/blog/welcome-back-messages-for-coworker.md
Last updated: 2026-07-14

---
Coming back to work after time away is a strange experience. Your inbox has 847 unread messages. Three Slack channels you'd never heard of now seem important. Someone rearranged the kitchen. The project you were leading took a turn you didn't expect. And everyone is saying "welcome back!" while you're still trying to remember your laptop password.

A thoughtful welcome back message cuts through all of that. It tells your coworker: we noticed you were gone, we're glad you're here, and you still belong. Whether they were away for a week-long vacation or a months-long medical leave, the right words at the right time make the transition back feel human instead of transactional.

We've organized these 100+ messages by situation and tone so you can find exactly what fits. Copy them as-is, tweak the details, or use them as a starting point. And if you want to rally the whole team, you can [create a free group card](https://jobsbyculture.com/culture-cards) that everyone can sign before they return.

## Warm & Genuine Welcome Back Messages

These are the messages that make someone feel seen and valued. They go beyond "glad you're back" and say something that actually registers. Use these when you want your coworker to know they were genuinely missed.

1.  Welcome back! The team hasn't been the same without you — and I mean that literally. We tried to do the thing you always do and it did not go well.
2.  So glad to see you back. I hope you had the rest and recharge you needed. We missed having you around, and I'm excited to work together again.
3.  Welcome back! Your desk is exactly how you left it (we guarded it fiercely). It's really good to have you here again.
4.  I know coming back after time away can feel overwhelming, so I want you to know: there's no rush. We're just glad you're here. Take all the time you need to settle in.
5.  We missed your perspective in meetings, your calm in crunch moments, and honestly, your taste in coffee. Welcome back — things are better with you here.
6.  Welcome back! I saved you a stack of context docs and a list of what changed while you were out. Happy to walk through any of it whenever you're ready.
7.  Your return just made everyone's day a little brighter. Welcome back — we're genuinely happy you're here.
8.  I hope your time away was everything you needed it to be. Coming back is its own kind of transition, so know that I'm here if you need anything — a debrief, a coffee, or just a friendly face.
9.  Welcome back! The hallway conversations weren't the same without you. Let's catch up properly this week.
10.  You were missed more than you probably realize. Welcome back — and welcome back to a team that's better because you're part of it.
11.  I kept a running list of things I wanted to tell you while you were away. Number one: we really missed you. Welcome back.
12.  Welcome back! I know first days back can be disorienting, so here's a promise: I'll catch you up on whatever you need, at whatever pace works for you.
13.  The team energy is already different now that you're back. In the best way. Welcome home.
14.  Welcome back! We held the fort, but it turns out the fort works way better when you're in it.
15.  I'm so glad you're back. Take your time ramping up — we've got your back while you find your rhythm again.
16.  Your absence reminded all of us how much you contribute, not just to the work, but to the culture of this team. Welcome back.
17.  Welcome back! Before you open your inbox — just know we handled the urgent stuff. The rest can wait. You being back is the important thing.
18.  I saved you the good seat in the conference room. Welcome back — it's genuinely great to have you here again.
19.  Some people are replaceable when they're away. You are not one of those people. Welcome back.
20.  Welcome back! The thing I missed most wasn't your work output — it was your presence. This place feels different when you're not here.

### Planning a team welcome back?

Collect messages from the whole team before they return. [Create a free digital group card](https://jobsbyculture.com/culture-cards) that everyone can sign — perfect for remote and hybrid teams. Present it on their first day back for maximum warmth.

## Funny Welcome Back Messages

Humor is a great way to ease the awkwardness of a return. These messages signal that the team dynamic is relaxed, that nobody's keeping score, and that they can laugh about the re-entry chaos.

1.  Welcome back! We tried to function without you. It was humbling. We are not proud of the results.
2.  Great news: you're back! Bad news: your inbox has achieved sentience and is demanding to be fed. Good luck in there.
3.  Welcome back! Everything went perfectly while you were gone. We definitely did NOT google "how to do the thing \[your name\] always does."
4.  We survived without you, but only technically. The bar was underground. Welcome back to raising it.
5.  Welcome back! Your plants are alive (barely), your mug is where you left it, and we only held three meetings that should have been emails. Standard stuff.
6.  The out-of-office auto-reply era is over. Welcome back to the chaos.
7.  Welcome back! Pro tip for your first day: do not check Slack. Just don't. Start with coffee and work your way up to reality gradually.
8.  We missed you so much we almost posted it on LinkedIn. That's how serious it was. Welcome back.
9.  Welcome back! The good news is everything is fine. The bad news is your calendar looks like a game of Tetris designed by someone who hates you.
10.  You're back! And just in time — we were running dangerously low on good ideas in the group chat.
11.  Welcome back! We had a whole countdown going. Today was labeled "The Return" in the team calendar. No pressure.
12.  While you were away, we held a vote on who would take over your responsibilities. Nobody volunteered. That should tell you everything. Welcome back.
13.  Welcome back! The kitchen is cleaner than when you left. We're not sure how that happened, but we're claiming it as a team achievement.
14.  I'd love to tell you nothing changed while you were gone, but honestly, someone moved the printer. That's the biggest development. Welcome back.
15.  Welcome back! Your Slack avatar was starting to look judgy just sitting there all gray. Good to see you green again.
16.  We tried to replace you with ChatGPT. It wasn't the same. Welcome back, irreplaceable human.
17.  Welcome back! Hope you're rested, because we saved all the hard decisions for you. You're welcome.
18.  The vending machine missed you. I can tell because it started working properly again the moment you walked in. Welcome back.
19.  Welcome back! We promise your first day won't be too overwhelming. That's a lie. But we'll be right there with you.
20.  We celebrated your absence with sad desk lunches and unfunny Slack jokes. It was awful. Please never leave again. Welcome back!

## Professional Welcome Back Messages

For moments where warmth matters but so does polish — welcoming back a senior colleague, writing on behalf of leadership, or composing a message for someone you don't know well. These strike the right balance.

1.  Welcome back. We're glad to have you with us again, and I want you to know the team is here to support your transition back.
2.  On behalf of the team, welcome back. Your contributions are valued, and we look forward to working together again.
3.  Welcome back. I've prepared a brief summary of key developments during your absence — happy to walk through it at your convenience.
4.  It's great to have you back. Please don't hesitate to reach out if you need time to get up to speed. We're here to help.
5.  Welcome back. Your expertise and judgment were missed. I look forward to your perspective on the work ahead.
6.  On behalf of the leadership team, welcome back. We value your well-being as much as your contributions, and we're glad to see you return.
7.  Welcome back. I'll schedule a catch-up this week to bring you up to speed on priorities and any changes to the roadmap.
8.  We're pleased to have you back on the team. Your return strengthens our capabilities, and we want to ensure your re-entry is as smooth as possible.
9.  Welcome back. The quality of our work is noticeably better when you're part of the conversation, and I mean that sincerely.
10.  It's wonderful to have you back. I've asked the team to be mindful of your ramp-up period — there's no expectation to hit full speed immediately.
11.  Welcome back. Your institutional knowledge and collaborative spirit are assets we deeply value. Let me know how I can support your return.
12.  On behalf of the entire department, welcome back. We've maintained momentum in your absence, and your return makes us even stronger.
13.  Welcome back. I want to acknowledge that returning after time away requires its own kind of adjustment. Take the time you need.
14.  It's genuinely good to have you back. I'll send over a transition document this afternoon so you can orient yourself at your own pace.
15.  Welcome back. We ensured continuity during your absence, and I'm confident the transition back will be seamless with your team's support.

## Welcome Back After Medical Leave

These messages require extra sensitivity. Your coworker may have been dealing with something serious, and the last thing they need is pressure, awkward questions about their health, or comments about their appearance. Focus on the return, not the reason.

### What NOT to say after medical leave

Avoid: "You look great!" (implies they didn't before). "Are you feeling 100%?" (creates pressure). "What happened?" (invasive). "We really struggled without you" (guilt-inducing). Let them share what they want, when they want.

1.  Welcome back. We missed you, and we're glad you're here. No rush on anything — settle in at your own pace.
2.  So happy to see you back. I'm here if you need anything at all, whether it's work-related or just someone to grab a coffee with.
3.  Welcome back. The most important thing is that you're here and you're okay. Everything else can wait.
4.  We've been thinking about you. Welcome back — and please know there's zero pressure to jump back in at full speed. Your health comes first, always.
5.  Welcome back! I've kept notes on key decisions and project updates so you don't have to piece it all together yourself. Let me know when you'd like to go through them.
6.  It's so good to see you. We held things down while you were away, and now we're here to support you as you come back. Whatever you need.
7.  Welcome back. I know returning can feel as big as leaving. Take it one day at a time — we're all in your corner.
8.  Your well-being matters more than any deadline or deliverable. Welcome back — we're just glad you're okay.
9.  Welcome back! The team is here to take whatever load you need off your plate while you settle in. Don't hesitate to ask.
10.  We missed you as a colleague and as a person. Welcome back — and know that "I need more time" is always a valid answer here.
11.  Welcome back. I cleared your first week of non-essential meetings so you can ease in. Let me know if there's anything else I can do to help.
12.  It's really good to have you back. If the pace feels like too much at any point, just say the word. We'll adjust, no questions asked.
13.  Welcome back. No updates needed from you today. Just wanted you to know we're glad you're here and we've got your back.
14.  Your return means a lot to this team — not just for the work, but because we care about you as a person. Welcome back.
15.  Welcome back. We kept your seat warm and your projects on track. Whenever you're ready to dive back in, we'll be right beside you.

## Welcome Back After Parental Leave

Coming back after parental leave is a major life transition. Your coworker is navigating a new identity — they're a parent now, and also still a professional. Acknowledge both without making assumptions about how they feel.

1.  Welcome back, and congratulations! We're so happy for you and your growing family. Take all the time you need to find your new rhythm — we're here.
2.  The team missed you, and we're thrilled you're back. I know balancing everything feels like a lot right now — just know we've got your back at work so you can focus on what matters.
3.  Welcome back! Congratulations on the new little one. I hope the transition back feels manageable — and if it doesn't, let us know how we can help.
4.  So glad to have you back! I can only imagine how much has changed in your world. Whenever you're ready for a catch-up — no rush at all — I'm here.
5.  Welcome back! We saved all the easy wins for your first week. The hard stuff can wait. Congratulations on the newest member of the family.
6.  Welcome back, new parent! I've put together a summary of what's changed since you left — projects, team updates, the important stuff. Coffee and a debrief whenever you're ready.
7.  Congratulations and welcome back! We know your priorities have beautifully shifted, and we're here to make the work side of things as smooth as possible.
8.  Welcome back! I'm not going to pretend I know what the last few months have been like, but I know your team is excited to have you back and ready to support however we can.
9.  The team is stronger with you in it — parent edition and all. Welcome back, and congratulations on the incredible new chapter.
10.  Welcome back! No pressure to be "on" from day one. We've maintained everything while you were away, and your transition back is just as important as the work itself.
11.  Congratulations on the new addition! We're so happy you're back. And we promise not to ask "how's the baby sleeping?" more than twice a day.
12.  Welcome back! Parenthood and work are both full-time jobs, and you're doing both. That's impressive. Let us take a few things off your plate this first week.
13.  So glad you're back. The team rallied in your absence, and now we're rallying around you as you settle back in. Congratulations on everything.
14.  Welcome back, and congratulations! Just a heads up — I've blocked your first Monday morning so you can ease into things. Baby photos are welcome but not required.
15.  The best part of today is having you back on the team. Congratulations on the beautiful new chapter — and welcome home to work.

## Welcome Back from Vacation

Vacation returns are the lightest of the welcome-back scenarios, but that doesn't mean they don't matter. A quick, fun message helps your coworker feel like they haven't been forgotten while they were sipping espresso in Lisbon.

1.  Welcome back! I hope your vacation was incredible. Now back to the beautiful chaos. We missed you.
2.  Welcome back from vacation! I hope you're rested, tanned, and ready to pretend you didn't check Slack from the beach.
3.  You're back! Was the vacation amazing? Don't answer yet — let me get jealous in peace first. Welcome back.
4.  Welcome back! We survived without you, but just barely. Hope you had the best time.
5.  I hope you completely disconnected. You deserve it. Now welcome back — we have approximately 400 things to tell you.
6.  Welcome back from vacation! Your out-of-office reply was legendary. We all read it multiple times. Hope the trip was as good as your auto-responder made it sound.
7.  Welcome back! Quick recap of what you missed: nothing important, everything is fine, and someone ate your emergency desk snacks. Sorry.
8.  I hope your vacation was the perfect mix of adventure and doing absolutely nothing. Welcome back to the land of deadlines and calendar invites.
9.  Welcome back! The team stayed afloat, the projects are on track, and your inbox is only mildly terrifying. You got this.
10.  Welcome back from vacation! I won't ask if you're happy to be back, because I already know the answer. But we're happy you're here.

## Short Welcome Back Messages

When the group card is full or you need something quick for Slack, these one-liners deliver warmth without taking up space.

1.  Welcome back! We missed you.
2.  So glad you're back. The team is whole again.
3.  Welcome back — it wasn't the same without you.
4.  Good to see you again. Truly.
5.  You were missed. Welcome back!
6.  The team just got stronger. Welcome back.
7.  Welcome back! Ready when you are.
8.  Glad to have you back. Let's catch up soon.
9.  Welcome back — your team is happy to see you.
10.  So good to have you back. Take it easy today.
11.  We held the fort. Glad it's yours again. Welcome back.
12.  Welcome back! Coffee's on me this week.
13.  Missed your energy around here. Welcome back!
14.  Welcome back. No rush — just glad you're here.
15.  The return we've been waiting for. Welcome back!

## Welcome Back Messages from a Manager

When you're the manager, your words carry extra weight. A welcome back message from leadership sets the tone for the entire return experience. Get it right, and your returning employee feels supported. Get it wrong, and they feel like they're already behind.

1.  Welcome back. I want to be clear: your first priority is getting settled. The work will be here when you're ready. There's no clock ticking.
2.  Great to have you back. I've cleared your first few days of meetings so you can orient yourself. Let's meet Thursday to talk about priorities — no prep needed from your side.
3.  Welcome back! I've asked the team to be available if you have questions, and I've put together a one-pager on what's changed. My door is open whenever you want to chat.
4.  I'm genuinely glad you're back. The team performed well in your absence, which is a credit to the foundation you built. Now let's build on it together.
5.  Welcome back. I want you to know that "I need more time to ramp up" is always an acceptable answer. We're playing the long game here, not sprinting.
6.  Happy to see you back. I'll be checking in this week — not to evaluate, but to make sure you have everything you need. Your transition matters to me.
7.  Welcome back! The team missed your leadership and your energy. Take this first week to reconnect with people — the projects can wait.
8.  I want your return to feel supported, not overwhelming. I've drafted a 30-day ramp plan — let's review it together and adjust based on how you're feeling.
9.  Welcome back. You're returning to a team that respects you, values your contributions, and is ready to support you however you need. I'm glad you're here.
10.  Your well-being is more important than any project timeline. Welcome back — and please let me know if the workload needs adjusting as you settle in.

### Manager's return checklist

Before they're back: clear non-essential meetings for week one. Prepare a brief summary of key changes. Assign a "buddy" for quick questions. On day one: have a casual 1:1 with no agenda. Week two: discuss priorities and workload together. The goal is to make them feel supported, not surveilled.

## Frequently Asked Questions

What should I write in a welcome back card for a coworker?+

Keep it warm and specific. Mention that you noticed their absence, that the team missed them, and that you're glad they're back. Avoid prying into why they were away — focus on the return, not the reason. A good example: "So glad to see you back! Things weren't the same without you. Let me know if you need anything as you settle back in."

How do I welcome a coworker back from medical leave?+

Be warm but don't ask about their health unless they bring it up. Focus on how glad you are they're back and offer practical support. Say something like: "Welcome back — we missed you. Take all the time you need to get settled, and I'm here if you need a hand with anything." Never say "You look great!" or comment on their appearance.

What do you say to a coworker returning from parental leave?+

Acknowledge the milestone warmly without making assumptions about how they feel about being back. Congratulate them on the new addition, express that you missed them, and offer flexibility. Avoid joking about sleep deprivation or saying "bet you missed us more than we missed you." A thoughtful approach: "Congratulations on the new little one! We're so happy to have you back. No rush on catching up — we'll get you up to speed at whatever pace feels right."

Should I acknowledge why my coworker was away?+

Only if it's something they've openly shared and are comfortable discussing — like a vacation or a new baby. For medical leave, bereavement, or any sensitive absence, focus on the return rather than the reason. Let them decide how much to share. The safest approach: "Welcome back! We missed you around here." Simple, warm, and doesn't put them in an awkward position.

How do I welcome a remote coworker back from leave?+

Remote returns need extra intentionality because there's no hallway moment to say welcome back. Send a direct message in Slack or Teams — not just a public channel post. Schedule a casual catch-up call with no agenda. If you're a manager, brief them on what's changed and who to talk to. A [group welcome card](https://jobsbyculture.com/culture-cards) signed by the team is a great remote option.

What's the best way to send a group welcome back card?+

A digital group card lets the whole team contribute messages before the person returns. Start it a few days before their return date, share the link in a team channel, and present it on their first day back. It works especially well for remote and hybrid teams. You can [create a free group card](https://jobsbyculture.com/culture-cards) at JobsByCulture Culture Cards.

### Make their return unforgettable

Collect welcome back messages from the whole team in one beautiful digital card. Share the link, everyone signs, and your returning colleague feels the warmth before they've even opened their inbox.

[Create a Welcome Back Card →](https://jobsbyculture.com/culture-cards) [Browse All Card Types →](https://jobsbyculture.com/culture-cards)

---

## Document: Working at Abridge in 2026: Culture, Compensation & What Employees Say

# Working at Abridge in 2026: Culture, Compensation & What Employees Say

> Working at Abridge in 2026: ~500 employees, 4.7 Glassdoor rating, $5.3B valuation, and what employees say about the mission-driven AI healthcare culture.

Source: https://jobsbyculture.com/blog/working-at-abridge-2026
Markdown: https://jobsbyculture.com/blog/working-at-abridge-2026.md
Last updated: 2026-07-14

---
In 2018, a cardiologist named Dr. Shiv Rao made a decision that would eventually reshape how healthcare documentation works. Instead of accepting that doctors spend two hours on paperwork for every hour with patients, he founded [Abridge](https://jobsbyculture.com/companies/abridge) — an AI company that listens to patient-clinician conversations and generates structured clinical notes in real-time. Eight years later, Abridge is valued at $5.3 billion, processes over 80 million conversations across 250+ health systems, and has one of the highest employee satisfaction ratings in the entire tech industry.

But a 4.7 Glassdoor rating and a $758M+ fundraise don't tell you what it's actually like to show up to work every day. We pulled data from Abridge's [company profile](https://jobsbyculture.com/companies/abridge), 60 Glassdoor reviews, and public engineering discussions to give you an honest picture of Abridge as an employer in 2026. Whether you're evaluating an offer, comparing Abridge to other AI companies like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai), or simply curious about what a mission-driven healthcare AI company looks like from the inside, here's what you need to know.

## What Abridge Actually Does

Abridge is not a generic transcription service. It's an AI-powered clinical documentation platform that understands the structure and semantics of medical conversations. When a physician talks with a patient, Abridge listens, identifies the medically relevant information, and generates a structured clinical note — complete with diagnoses, medications, assessments, and plans — formatted for the electronic health record (EHR). The technology combines automatic speech recognition (ASR), natural language understanding (NLU), and clinical summarization into a product that clinicians use in real exam rooms with real patients.

The scale is significant. Abridge now supports over 80 million conversations across more than 250 health systems, integrating with major EHR platforms including Athenahealth, eClinicalWorks, Cerner, AllScripts, and NextGen. The company won Best in KLAS for Ambient AI in both 2025 and 2026 — KLAS being the healthcare industry's equivalent of Gartner Magic Quadrant. It was also named to CNBC's Disruptor 50 in 2025 and Fast Company's Most Innovative Companies in 2026.

The problem Abridge solves is not trivial. Clinician burnout is one of the most pressing crises in American healthcare, and administrative burden — primarily documentation — is its leading cause. By eliminating the hours physicians spend typing notes after patient visits, Abridge gives doctors back time they can spend with patients, with their families, or recovering from the emotional weight of the job. This isn't an abstract improvement. It's the kind of product where the impact is immediately felt by the people using it.

## Abridge at a Glance

Founded

2018

Headquarters

Pittsburgh, PA (hubs in SF & NYC)

Founders

Dr. Shiv Rao, Sandeep Konam, Florian Metze

Company Size

~500 employees

Valuation

~$5.3B

Total Funding

$758M+ (Series E: $316M, Apr 2026)

Glassdoor Rating

4.7 / 5.0 (60 reviews)

Work-Life Balance

4.5 / 5.0

CEO Approval

~94% (Dr. Shiv Rao)

Recommend to Friend

93%

Key Investors

Andreessen Horowitz, OpenAI, Accel, Founders Fund, Khosla Ventures

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Learning](https://jobsbyculture.com/values/learning), [Equity](https://jobsbyculture.com/values/equity), Product-Impact, Mission-Driven

## The Founder Story: A Cardiologist Turned CEO

What makes Abridge unusual in the AI landscape is that its CEO is still a practicing physician. Dr. Shiv Rao didn't come from the Stanford CS lab or the Y Combinator founder track — he came from the exam room. He saw firsthand how documentation burden was destroying the profession he loved, and he decided to build the tool he wished existed. This origin story isn't just marketing. It shapes every product decision at Abridge, because the CEO has lived the problem his company solves.

Rao assembled a co-founding team that matched the ambition: Florian Metze, a speech recognition researcher at Carnegie Mellon, and Sandeep Konam, who brought the product and engineering lens. Zachary Lipton, a machine learning professor at Carnegie Mellon, joined as an advisor in 2019 and later stepped in as Chief Technology Officer in 2023. This combination — a domain expert who understands the clinical workflow, backed by world-class ML researchers — gave Abridge a technical moat that pure software companies struggle to replicate. You can't build great clinical AI without understanding clinical medicine deeply, and you can't scale it without cutting-edge ML research.

The ~94% CEO approval rating on Glassdoor reflects this authenticity. Employees don't just work for a tech executive — they work for someone who still sees patients, who can articulate exactly why the product matters, and who leads with the credibility of having lived the problem. In an industry full of founder mythologies, Rao's story has the rare quality of being both inspiring and verifiable.

## The Numbers: One of the Highest-Rated Tech Companies on Glassdoor

Abridge's 4.7 out of 5.0 overall Glassdoor rating is exceptional. Among the [companies in our Culture Directory](https://jobsbyculture.com/companies), it is one of the highest-rated employers in tech — higher than [Anthropic](https://jobsbyculture.com/companies/anthropic), [Notion](https://jobsbyculture.com/companies/notion), and nearly every company we track. The sub-category breakdown reveals a company that excels almost uniformly across every dimension that employees care about.

Culture & Values 4.7

Overall Rating 4.7

Career Opportunities 4.6

Compensation & Benefits 4.6

Work-Life Balance 4.5

The consistency is what stands out. Most companies have a clear weak spot — Ramp's WLB is 3.4, Stripe's is 3.6. Abridge scores above 4.5 on every single dimension. This kind of uniformity is rare and typically indicates a company that has been intentional about building a healthy culture rather than optimizing for one dimension at the expense of others. The 93% recommendation rate and ~94% CEO approval further confirm the picture: employees at Abridge are genuinely happy.

4.7 / 5

Overall Glassdoor Rating

93%

Recommend to Friend

~94%

CEO Approval

## Culture & Mission: Why 93% of Employees Recommend It

The defining characteristic of Abridge's culture is mission alignment. Unlike companies where the mission statement lives on a poster and the day-to-day reality is purely about growth metrics, Abridge employees consistently describe a genuine connection between their daily work and the impact on clinicians and patients. When your product literally gives doctors more time with patients and reduces burnout in a profession experiencing a mental health crisis, the "why" behind your work is never abstract.

The second cultural pillar is supportive management. Multiple Glassdoor reviews specifically call out middle management as exceptional — an unusual compliment in tech, where management is more often cited as a frustration. Employees describe managers who are "smart, hard-working, and deeply supportive" rather than micromanaging or politically motivated. The blameless culture and "extreme ownership" philosophy create an environment where people take accountability without fear of punishment for honest mistakes.

Employee Pro "People are wonderful, supportive, and collaborative. Middle management is exceptional: smart, hard-working, deeply supportive."

Employee Pro "Actively solving clinician burnout — the mission is motivating. Management respects employees' time."

Employee Pro "Blameless culture with extreme ownership philosophy. Annual budget for skill enhancement, coaching, and certifications."

The third element is genuine investment in growth. Career Opportunities is rated 4.6/5, and employees mention annual budgets for professional development, conference attendance, coaching, and certifications. In a 500-person company growing as fast as Abridge, there's also the organic growth that comes from rapid scaling — new teams being formed, new leadership opportunities emerging, and the chance to shape processes and practices while they're still being defined.

## Engineering at Abridge: ML, Speech, and Clinical NLU

Abridge's engineering culture is defined by the complexity of the problem it solves. This isn't a CRUD application or a standard SaaS product — it's a system that must understand medical speech in real-time, extract clinically relevant information from natural conversation, and generate documentation that physicians trust enough to sign and submit. The technical bar is high because the stakes are high: errors in clinical documentation have real consequences for patient care.

### Core Technical Domains

ASR (Speech Recognition) Clinical NLU ML/Deep Learning EHR Integrations Real-time Streaming Clinical Summarization

The technical team's research background (Florian Metze in speech recognition, with Zachary Lipton in ML now leading as CTO) has created an [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture where technical rigor is valued alongside shipping speed. Engineers at Abridge work on problems that span the full AI pipeline: acoustic modeling, language understanding, information extraction, summarization, and the complex challenge of integrating generated content into existing EHR workflows across multiple platforms.

-   **Research meets production.** Unlike pure research labs, Abridge engineers ship their work to clinicians who use it in real patient encounters. Unlike pure product companies, the problems require genuine ML research. This intersection — research-grade problems with production-grade requirements — attracts engineers who want both intellectual depth and real-world impact.
-   **EHR integration complexity.** Integrating with Athenahealth, eClinicalWorks, Cerner, AllScripts, and NextGen means navigating the notoriously fragmented healthcare IT landscape. This systems engineering challenge is distinct from the ML work and requires engineers who can handle messy, legacy APIs with grace.
-   **Scale and reliability.** Processing 80M+ conversations means the system must be robust, fast, and accurate at scale. Real-time streaming of medical conversations leaves no room for latency or downtime during a patient visit.
-   **Blameless engineering culture.** The "extreme ownership" philosophy combined with blameless postmortems creates an environment where engineers take responsibility without fear. When systems fail (and at this scale, they will), the response is learning-oriented rather than punitive.

## Compensation & Benefits

Abridge's compensation is rated 4.6 out of 5.0 on Glassdoor — placing it among the best-compensated companies in AI healthcare and competitive with well-funded AI companies more broadly. At a $5.3B valuation backed by Andreessen Horowitz, OpenAI, Accel, Founders Fund, and Khosla Ventures, the equity component carries significant upside potential.

The benefits package goes beyond standard tech offerings:

-   **Healthcare.** Great health insurance with zero deductible for in-network primary care physicians and affordable copays. For a healthcare company, walking the talk on employee health coverage is both expected and appreciated.
-   **Retirement.** 401k with competitive employer contributions.
-   **Professional development.** Annual budget for skill enhancement, coaching programs, and certifications. Employees specifically call this out as a genuine benefit rather than a line item that goes unused.
-   **Competitive base salary.** Ranges from approximately $150k to $350k depending on role, level, and location.
-   **Equity.** At the company's growth trajectory (from $850M Series C in 2023 to $5.3B Series E in 2025 to the latest $316M raise in April 2026), early equity has appreciated significantly. For new joiners, the path to IPO or continued private growth makes equity a meaningful component of total compensation.

## The Trade-Offs: What Could Be Better

No company with a 4.7 Glassdoor rating is without trade-offs. To Abridge's credit, the issues raised by employees are relatively mild compared to the harsh criticisms you see at lower-rated companies. But they're real and worth understanding before you join.

Employee Con "No longer fully remote — expectation of 3x/week at SF or NYC hubs. The transition has been frustrating for those hired as remote."

Employee Con "Fast startup pace not for everyone — requires agility and resilience. Some weeks are intense."

Employee Con "Some disorganization as the company scales — documentation, processes, and tooling are still maturing."

Employee Con "Third-party vendor dependencies create friction. Interview process is tough — only 36% rate it positive."

The shift from fully remote to hybrid (3 days per week at the San Francisco or New York City hubs) is the most significant cultural change in recent Abridge history. For employees who joined during the remote era, this represents a meaningful lifestyle shift. For new candidates, the expectation is clear: Abridge wants you in-office at least three days per week. If fully remote work is non-negotiable for you, this may be a dealbreaker.

The scaling-related issues — immature documentation, evolving processes, and occasional disorganization — are common growing pains for a company that has scaled from a startup to 500 employees in a short period. These are the kinds of problems that get solved over time, and for the right person, they represent an opportunity to shape how the company operates rather than inheriting rigid systems that can't be changed.

The interview difficulty (2.9/5 with only 36% positive experience rating) is worth noting if you're preparing to apply. The process is rigorous, which is consistent with a company that maintains high talent bars, but the candidate experience could be smoother.

## Who Thrives at Abridge

Based on the culture signals and employee feedback, here's who tends to do well at Abridge:

-   **Mission-motivated builders.** If you want your work to matter beyond quarterly revenue targets, Abridge offers a direct line between your code and reduced clinician burnout. The mission isn't marketing — it's the product. People who find meaning in healthcare impact will find Abridge deeply fulfilling.
-   **ML engineers and AI researchers who want production impact.** If you're tired of research that sits on shelves, Abridge puts your work in front of real clinicians treating real patients. The technical problems are genuinely hard (clinical NLU, real-time ASR at scale, multi-EHR integration), but the feedback loop is immediate and concrete.
-   **People who value supportive management.** The "exceptional middle management" praise is rare in tech. If you've been burned by toxic or absent managers and want leaders who actively invest in your growth, Abridge's management culture will feel refreshing.
-   **Growth-stage operators.** At ~500 employees with explosive growth, Abridge is in the stage where processes are being built, not just followed. If you enjoy shaping how a company works — defining documentation standards, building team practices, creating frameworks that others will use — this is the right moment.
-   **People comfortable with startup intensity.** While WLB is rated 4.5/5 (much higher than most startups), the pace is still fast and requires agility. Abridge respects your time, but the company is growing quickly and expects you to keep up.

### Who should look elsewhere

-   **Fully remote workers.** If you won't relocate to or commute into SF or NYC three days per week, Abridge is no longer the right fit. The hybrid transition is real and enforced.
-   **People who need highly structured environments.** If ambiguity stresses you out and you need established processes and documentation for everything, the current scaling phase may be frustrating. Things are being figured out in real-time.
-   **Those who prefer large, established companies.** At 500 employees, Abridge is growing fast but still has startup DNA. If you want the stability, clear career ladders, and predictability of a 5,000-person company, consider more mature organizations.

## Open Positions at Abridge

Abridge is actively hiring across engineering, ML research, product, and clinical operations roles in their San Francisco and New York City hubs. If the intersection of AI, healthcare, and mission-driven work resonates with you, Abridge is a rare company that combines cutting-edge technical problems with genuine human impact — and backs it up with a 4.7 Glassdoor rating that validates the culture from the inside.

For full details on Abridge's open roles, culture values, and side-by-side comparisons with other AI companies, visit the [Abridge culture profile page](https://jobsbyculture.com/companies/abridge) or [browse all Abridge jobs](https://jobsbyculture.com/jobs?company=abridge).

## Frequently Asked Questions About Working at Abridge

What is Abridge's Glassdoor rating in 2026?+

Abridge has a 4.7 out of 5.0 overall Glassdoor rating based on 60 reviews — one of the highest-rated tech companies on the platform. Work-Life Balance is 4.5/5, Culture & Values 4.7/5, Compensation & Benefits 4.6/5, and Career Opportunities 4.6/5. 93% of employees recommend working there, and CEO Dr. Shiv Rao has approximately 94% approval. See our [full Abridge culture profile](https://jobsbyculture.com/companies/abridge) for the complete breakdown.

How many employees does Abridge have?+

Abridge has approximately 500 employees as of 2026. The company was founded in 2018 in Pittsburgh and has grown rapidly, with main hubs now in San Francisco and New York City. Originally fully remote, Abridge now operates on a hybrid model with an expectation of 3 days per week at hub offices.

What does Abridge do?+

Abridge is an AI-powered healthcare company that transforms patient-clinician conversations into structured clinical documentation in real-time. It supports over 80 million conversations across 250+ health systems and integrates with major EHR platforms including Athenahealth, eClinicalWorks, Cerner, AllScripts, and NextGen. Abridge won Best in KLAS for Ambient AI in both 2025 and 2026.

What is Abridge's engineering culture like?+

Abridge's engineering team works on cutting-edge ML problems including automatic speech recognition (ASR), natural language understanding (NLU), and clinical summarization. Co-founded by Florian Metze (speech recognition researcher) and now led on the technical side by CTO Zachary Lipton (ML professor at Carnegie Mellon), the culture emphasizes [engineering-driven](https://jobsbyculture.com/values/eng-driven) decision-making, blameless postmortems, and extreme ownership. Engineers ship features that directly impact clinicians and patients across 250+ health systems.

What is Abridge's compensation like?+

Abridge's compensation is rated 4.6 out of 5.0 on Glassdoor. The company offers competitive salaries ($150k-$350k range depending on role and level), 401k, great health insurance with zero deductible for in-network PCPs, and an annual budget for professional development. At a $5.3B valuation backed by a16z, OpenAI, Accel, Founders Fund, and Khosla Ventures, equity has real upside potential.

Who is Abridge's CEO?+

Abridge's CEO is Dr. Shiv Rao, a practicing cardiologist who founded the company in 2018 to address clinician burnout. He still practices medicine while leading a $5.3B company — giving him firsthand understanding of the problem Abridge solves. Dr. Rao has approximately 94% CEO approval on Glassdoor, one of the highest ratings among tech CEOs in our [directory](https://jobsbyculture.com/companies).

Is Abridge a good place to work?+

For people motivated by healthcare impact: overwhelmingly yes. Abridge has a 4.7 Glassdoor rating, 93% of employees recommend it, exceptional middle management, a meaningful mission solving clinician burnout, and competitive compensation (4.6/5). Main caveats: no longer fully remote (3x/week at hubs expected), startup pace requires agility and resilience, and some processes are still maturing as the company scales. See our [Abridge culture profile](https://jobsbyculture.com/companies/abridge) for the full picture.

### Explore Abridge jobs with culture context

See Abridge's open roles alongside jobs from other mission-driven AI companies — all with culture data and employee reviews.

[Browse Abridge Jobs →](https://jobsbyculture.com/jobs?company=abridge) [View Abridge Profile →](https://jobsbyculture.com/companies/abridge)

---

## Document: Working at Airbnb in 2026: Glassdoor Rating, Salary & Live and Work Anywhere Policy | JobsByCulture

# Working at Airbnb in 2026: Glassdoor Rating, Salary & Live and Work Anywhere Policy | JobsByCulture

> Airbnb Glassdoor rating is 4.1/5.0 in 2026. Engineers earn ~$180k entry-level to $1M+ at senior levels with no location-based pay cuts. We break down the Live and Work Anywhere policy, real employee reviews, and 209 open roles.

Source: https://jobsbyculture.com/blog/working-at-airbnb-2026
Markdown: https://jobsbyculture.com/blog/working-at-airbnb-2026.md
Last updated: 2026-07-14

---
Airbnb isn't just a travel company — it's a culture company. Founded in 2008 by Brian Chesky, Joe Gebbia, and Nathan Blecharczyk, Airbnb has grown from an air mattress on a living room floor into a publicly traded giant with roughly 8,200 employees (year-end 2025), $12.2B in 2025 revenue, and a market cap above $85 billion in early 2026. But what truly sets Airbnb apart in 2026 is its [Live and Work Anywhere](https://jobsbyculture.com/values/remote) policy: a genuine commitment to remote flexibility that few companies of its size have matched.

We pulled Glassdoor data, real employee reviews, compensation benchmarks, and culture signals to give you the most complete picture of working at Airbnb in 2026. Whether you're weighing an offer, prepping for an interview, or comparing Airbnb to companies like [Stripe](https://jobsbyculture.com/companies/stripe) or [Anthropic](https://jobsbyculture.com/companies/anthropic), this is what you need to know.

## Airbnb at a Glance

Before we dive into the details, here are the numbers that matter.

Metric

Detail

Founded

2008

Headquarters

San Francisco, CA

Company Size

~8,200 employees (year-end 2025)

Glassdoor Rating

4.1 / 5.0

Work-Life Balance

4.0 / 5.0

Market Cap

~$86B (early 2026)

CEO Approval

~88% (Brian Chesky)

Recommend to Friend

79%

A 4.1 Glassdoor rating places Airbnb solidly in the upper tier of tech companies in our [Culture Directory](https://jobsbyculture.com/companies). For context, [Anthropic](https://jobsbyculture.com/companies/anthropic) sits at 4.4, [Stripe](https://jobsbyculture.com/companies/stripe) at 4.2, and [Notion](https://jobsbyculture.com/companies/notion) at 4.5. The 79% "recommend to a friend" rate is respectable and suggests that most employees would endorse the experience, even if some growing pains have emerged post-IPO.

4.1 / 5.0

Glassdoor Overall Rating

## What Makes Airbnb's Culture Different

Airbnb's culture is defined by two things: design-driven thinking and genuine hospitality that extends beyond guests to employees. Brian Chesky, a Rhode Island School of Design graduate, has built a company where design isn't a department — it's a way of operating. Everything from product decisions to internal processes is run through a design lens, and that philosophy permeates the entire employee experience.

But the single biggest cultural differentiator in 2026 is the [Live and Work Anywhere](https://jobsbyculture.com/values/remote) policy. Announced in April 2022, it allows employees to live and work from one of 170+ countries with no compensation cuts based on location, plus the ability to work from another country for up to 90 days per year per country. Employees still need a permanent residence for tax and payroll purposes. This wasn't a half-measure or a pandemic concession — it was a deliberate strategic choice by Chesky, and it remains one of the most progressive remote work policies at any company of Airbnb's scale.

According to employee reviews and our analysis of [Airbnb's culture profile](https://jobsbyculture.com/companies/airbnb), five core values define the day-to-day experience:

[Remote](https://jobsbyculture.com/values/remote) [Work-Life Balance](https://jobsbyculture.com/values/wlb) [Diverse](https://jobsbyculture.com/values/diverse) [Open Source](https://jobsbyculture.com/values/open-source) [Equity](https://jobsbyculture.com/values/equity)

The [remote-first](https://jobsbyculture.com/values/remote) commitment shows up in tangible ways. Employees regularly work from Airbnb listings around the world, the company provides an annual Airbnb stay credit, and internal tools and processes are designed for asynchronous collaboration across time zones. For people who value geographic freedom, this is one of the few large public companies where remote work isn't just tolerated — it's actively celebrated.

The [diversity](https://jobsbyculture.com/values/diverse) commitment is another standout. Airbnb has invested heavily in DEI programs, employee resource groups, and inclusive hiring practices. The company publishes regular diversity reports and has made meaningful progress on representation at the leadership level. For candidates who prioritize working at a company with genuine diversity values, Airbnb ranks among the strongest in our database.

The [open-source](https://jobsbyculture.com/values/open-source) culture reflects Airbnb's engineering DNA. The company has contributed major tools to the community — including Apache Airflow (now one of the most widely used workflow orchestration tools in data engineering) and Lottie (an animation library used by thousands of apps). This commitment to giving back to the developer community signals an engineering culture that values craft and collaboration.

## Glassdoor Ratings Breakdown

The 4.1 overall score reveals some interesting variance across sub-categories. Compensation is Airbnb's strongest area, while senior management and career opportunities show room for improvement — a pattern common among large post-IPO tech companies navigating the transition from startup agility to corporate structure.

Compensation & Benefits

4.2

Overall Rating

4.1

Culture & Values

4.0

Work-Life Balance

4.0

Senior Management

3.7

Career Opportunities

3.5

The 4.2 compensation score is strong and reflects Airbnb's commitment to competitive pay, RSU packages, and benefits like travel credits and educational stipends. The 4.0 work-life balance score is a genuine bright spot — it places Airbnb well above average for companies of its size in our [WLB rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026). The Live and Work Anywhere policy clearly contributes to this score.

The 3.7 senior management score and 3.5 career opportunities rating tell a different story. Multiple reviews point to increasing bureaucracy post-IPO, middle management growing pains, and a tendency to fill senior roles externally rather than promote from within. Career opportunities is the weakest sub-category and a recurring frustration in employee reviews — promotions are described as slow, criteria unclear, and senior positions often go to outside hires.

## What Employees Actually Say

Numbers tell part of the story. Employee voices tell the rest. Here are the recurring themes from Glassdoor reviews, pulled directly from our [Airbnb culture profile](https://jobsbyculture.com/companies/airbnb).

### What employees love

Pro "Live and Work Anywhere policy is the real deal — genuine remote flexibility with no pay cuts, no strings attached"

Pro "Strong compensation and benefits: competitive base, solid RSUs, annual Airbnb travel credit, and educational stipends"

Pro "Design-driven culture means the product actually matters — you can feel pride in what you're building"

Pro "Brian Chesky is a visionary leader who genuinely cares about culture and employee experience"

Pro "Incredible diversity of people and perspectives — working with teammates from 170+ countries"

The theme that appears most consistently is the Live and Work Anywhere policy. Employees who take advantage of it report dramatically higher satisfaction — the ability to work from another country for stretches at a time, stay in Airbnb listings, and avoid hub relocation is genuinely life-changing for many. Combined with the annual Airbnb travel credit, it creates a work experience that no other company of Airbnb's size can match. Brian Chesky's ~88% CEO approval reflects genuine respect for his leadership, particularly his hands-on involvement in product design and his willingness to make bold cultural bets.

### What could be better

Con "Limited career growth — senior roles are frequently filled externally, and internal promotions are painfully slow"

Con "Post-IPO cultural shift is real — increasing bureaucracy, more politics at mid-to-senior levels"

Con "Brian is very hands-on, which can be great but also means major pivots happen suddenly based on CEO direction"

Con "Middle management layer is still figuring itself out — some teams have great managers, others feel lost"

The career growth concern is worth taking seriously. A 3.5 career opportunities score paired with repeated comments about external hiring for senior roles paints a clear picture: if you're a mid-level engineer or PM hoping to grow into a senior or staff role, the path at Airbnb is less certain than at companies like [Stripe](https://jobsbyculture.com/companies/stripe) or [Anthropic](https://jobsbyculture.com/companies/anthropic) that have clearer internal promotion frameworks. This is the most common criticism in recent reviews.

The post-IPO cultural shift is a nuance worth understanding. Pre-IPO Airbnb was a scrappy, mission-driven startup where everyone felt ownership. Post-IPO, with roughly 8,200 employees and public market pressures, some of that energy has naturally dissipated. Chesky's top-down management style — while praised for its design vision — can also create whiplash when strategic priorities shift quickly. If you're coming from a more autonomous, bottom-up engineering culture, this adjustment can be jarring.

## Compensation & Benefits

Compensation is one of Airbnb's genuine strengths — a 4.2/5.0 Glassdoor rating for comp and benefits. As a public company, Airbnb offers the advantage of liquid stock (RSUs that vest and can be sold immediately) rather than the private equity gamble at startups.

~$180k entry → $1M+ senior

Total Compensation Range for Engineers

For software engineers, employee-reported total compensation (base + RSUs + bonus) starts in the **~$180k range at entry levels**, with median package well above $500k for mid-senior engineers in major metros and staff/principal engineers routinely pushing past $1M. This puts Airbnb competitive with the best-paying large public tech companies. A few things to note about the comp structure:

-   **RSUs are liquid.** Unlike private company equity, Airbnb RSUs vest on a standard schedule and can be sold on the open market. No waiting for an IPO or liquidity event — this is real, spendable money.
-   **Annual Airbnb travel credit.** Employees receive an annual Airbnb stay credit, which — combined with the Live and Work Anywhere policy — adds real value that doesn't show up in the base TC number.
-   **Educational stipends.** The company provides annual stipends for learning and professional development, from conference tickets to online courses.
-   **No location-based pay adjustments.** Whether you work from San Francisco or Lisbon, your comp stays the same. This is a massive differentiator and dramatically increases purchasing power for employees in lower-cost-of-living areas.
-   **Comprehensive benefits** include health insurance, generous PTO, 401(k) match, parental leave, and mental health support.

The no-location-pay-cut policy is worth highlighting. At most companies, moving from SF to Austin means a 10–20% pay reduction. At Airbnb, you keep every dollar. For an engineer earning $300k TC who moves to a city with 40% lower cost of living, the effective comp increase is enormous.

## Engineering Culture & Tech Stack

Airbnb's engineering organization is one of the most well-regarded in the industry. The company has a long history of publishing engineering blog posts, open-sourcing major tools, and attracting top talent. The engineering culture is design-aware — engineers are expected to care about the user experience, not just the code — which reflects Chesky's design-led philosophy.

### Tech Stack

Ruby / Rails Java Kotlin React Swift Python Airflow

Airbnb's stack reflects its evolution from a Rails monolith to a modern service-oriented architecture. **Ruby on Rails** remains in parts of the codebase as legacy, but the company has invested heavily in **Java** and **Kotlin** for backend services. The frontend is **React**\-based, mobile apps use **Swift** (iOS) and **Kotlin** (Android), and the data platform runs on **Python** and **Apache Airflow** — which Airbnb originally created and donated to the Apache Foundation.

### Open-Source Contributions

Airbnb's open-source portfolio is a genuine point of pride for the engineering team:

-   **Apache Airflow** — A workflow orchestration platform now used by thousands of companies worldwide for data pipeline management
-   **Lottie** — A library for rendering After Effects animations natively on mobile and web, used by apps like Uber, Spotify, and Google
-   **Visx** — A collection of expressive, low-level visualization components for React
-   **Epoxy** — A framework for building complex screens in a RecyclerView on Android

For engineers who value [open-source culture](https://jobsbyculture.com/values/open-source) and want to work on tools that impact the broader developer community, Airbnb offers a rare opportunity at a company of this scale. The engineering blog is active and well-regarded, and publishing internal learnings is encouraged rather than restricted.

### How Teams Work

Airbnb uses a functional organizational model — engineers report to engineering managers, designers to design managers — rather than the cross-functional pod structure common at many tech companies. Chesky restructured the organization in 2020 to reduce the number of middle managers and bring decision-making closer to the CEO, which has created a more top-down dynamic than you'd find at companies like [Vercel](https://jobsbyculture.com/companies/vercel) or [Linear](https://jobsbyculture.com/companies/linear).

The trade-off is clear: you get strong design coherence and a unified product vision (Chesky personally reviews major product launches), but individual team autonomy is lower than at flatter organizations. Engineers who want maximum independence may find this constraining; engineers who want to work on a beautifully cohesive product will find it refreshing.

## Who Thrives at Airbnb

Based on employee reviews, culture signals, and the company's own hiring philosophy, here's the profile of someone who tends to thrive at Airbnb — and who might struggle.

### You'll love it if you...

-   **Value geographic freedom.** The Live and Work Anywhere policy is the best in the industry at this scale. If location independence matters to you, Airbnb is hard to beat.
-   **Care about design and craft.** This is a design-led company. Engineers who appreciate beautiful products and want to collaborate closely with world-class designers will thrive.
-   **Want strong, liquid compensation.** Competitive base + liquid RSUs + travel credits + no location pay cuts = a genuinely excellent financial package, especially for those outside SF.
-   **Appreciate diversity.** Airbnb's global workforce and strong DEI commitments create an environment where different backgrounds and perspectives are valued.
-   **Want work-life balance at scale.** A 4.0 WLB score at a 7,300-person public company is impressive. The remote policy contributes to real flexibility in how and where you work.

### You might struggle if you...

-   **Want fast career progression.** The 3.5 career opportunities score is the weakest sub-category. Promotions are slow and senior roles frequently go to external hires.
-   **Prefer bottom-up autonomy.** Chesky's hands-on, top-down leadership style means strategic direction can shift quickly. If you want full autonomy over what you work on, consider companies like [Linear](https://jobsbyculture.com/companies/linear) or [Replit](https://jobsbyculture.com/companies/replit).
-   **Dislike corporate politics.** Post-IPO Airbnb has more layers, more process, and more internal politics than early-stage Airbnb. If you're leaving a startup hoping for the same energy at scale, the reality may disappoint.
-   **Are an AI/ML specialist seeking frontier research.** Airbnb uses ML for search, pricing, and recommendations, but it's not an AI-first company. If cutting-edge ML research is your priority, [Anthropic](https://jobsbyculture.com/companies/anthropic) or [DeepMind](https://jobsbyculture.com/companies/deepmind) are better fits.

The consensus among employees, as captured in our [Airbnb profile](https://jobsbyculture.com/companies/airbnb): "Choose Airbnb for the unmatched remote flexibility, strong comp, and design-driven culture — but don't expect rapid internal advancement."

## Open Positions at Airbnb

Airbnb currently has **209 open positions** across engineering, product, design, data science, operations, and business functions. Roles are available globally thanks to the Live and Work Anywhere policy, with primary hubs in San Francisco, Seattle, and offices around the world.

Popular role categories include:

-   **Software Engineers** — Backend services, frontend (React), mobile (iOS/Android), and infrastructure
-   **Data Scientists & ML Engineers** — Search ranking, pricing algorithms, recommendation systems, and fraud detection
-   **Product Designers** — Airbnb's design team is legendary; roles span product, UX research, and brand design
-   **Product Managers** — Guest experience, host tools, trust & safety, and payments
-   **Business & Operations** — Finance, marketing, policy, and community operations across global markets

For the full list of live openings with location filters, visit the [Airbnb jobs page](https://jobsbyculture.com/jobs?company=airbnb) or explore all roles on the [Airbnb culture profile](https://jobsbyculture.com/companies/airbnb).

## Frequently Asked Questions About Working at Airbnb

What is Airbnb's Glassdoor rating in 2026?+

Airbnb has a **4.1 out of 5.0** Glassdoor rating in 2026. Sub-scores: Compensation & Benefits 4.2, Culture & Values 4.0, Work-Life Balance 4.0, Senior Management 3.7, and Career Opportunities 3.5. CEO Brian Chesky maintains strong employee confidence, and the [Live and Work Anywhere](https://jobsbyculture.com/values/remote) policy is consistently cited as a top benefit. See how Airbnb compares in our [culture directory](https://jobsbyculture.com/companies).

What is the Live and Work Anywhere policy at Airbnb?+

Airbnb’s Live and Work Anywhere policy, announced in April 2022, lets employees live in **170+ countries** with no compensation cuts based on location, plus the ability to work from another country for up to 90 days per year per country (employees still need a permanent residence for tax/payroll purposes). Unlike most remote policies, there are no location-based salary adjustments — an engineer in Kansas earns the same as one in San Francisco. This is one of the most generous remote work policies among major tech companies. See our [remote-friendly companies guide](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026) for how others compare.

How much do Airbnb engineers get paid in 2026?+

Airbnb engineers earn from roughly **$180k entry-level to $1M+ at staff/principal levels** in employee-reported total compensation, including base salary, RSUs (which are liquid and can be sold immediately), an annual Airbnb travel credit, and educational stipends. There are no location-based pay adjustments thanks to the Live and Work Anywhere policy. Compensation & Benefits is rated 4.2/5 on Glassdoor. See our [highest-paying companies rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

What is the work-life balance like at Airbnb?+

Airbnb’s work-life balance is rated **4.0 out of 5.0** on Glassdoor — above average for major tech companies. The Live and Work Anywhere policy gives employees genuine flexibility to work from anywhere. For comparison, [Anthropic](https://jobsbyculture.com/companies/anthropic) scores 3.7, [OpenAI](https://jobsbyculture.com/companies/openai) 3.6, and [Perplexity](https://jobsbyculture.com/companies/perplexity) 3.3 on work-life balance. See our [WLB rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026).

How many employees does Airbnb have in 2026?+

Airbnb had approximately **8,200 employees** as of year-end 2025 and continues to hire, with 209 open positions listed on our platform. The company generated $12.2B in 2025 revenue and has a market cap above $85 billion in early 2026. Despite being a mature public company, Airbnb maintains a strong engineering culture with legendary design standards. See our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

Is Airbnb a good company to work for in 2026?+

Airbnb is a strong choice if you value remote flexibility, design-driven culture, and competitive compensation without location-based pay cuts. The 4.1 Glassdoor rating, 4.0 WLB score, and Live and Work Anywhere policy make it stand out among large tech companies. The trade-offs: Career Opportunities scores lowest at 3.5/5, and some employees note that the design-perfection culture can slow down shipping speed.

### Browse all 13,906 jobs from 118 companies

Find your next role at Airbnb or any of the 45 profiled companies in our culture directory.

[See Airbnb Jobs →](https://jobsbyculture.com/jobs?company=airbnb) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Airtable in 2026: 900 Employees, AI Pivot, Salary & Culture

# Airtable in 2026: 900 Employees, AI Pivot, Salary & Culture

> Working at Airtable in 2026: ~900 employees after two rounds of layoffs (Dec 2022 + Sept 2023), 3.8 Glassdoor rating, $226k-$650k engineer comp, AI pivot with Superagent, and what the culture is really like.

Source: https://jobsbyculture.com/blog/working-at-airtable-2026
Markdown: https://jobsbyculture.com/blog/working-at-airtable-2026.md
Last updated: 2026-07-14

---
[Airtable](https://jobsbyculture.com/companies/airtable) occupies a strange position in 2026. It’s simultaneously one of the most respected low-code platforms in the world — used by 300,000+ organizations including Netflix, NASA, and Shopify — and a company still digesting two rounds of layoffs (Dec 2022 + Sept 2023) that took out roughly a third of headcount. The product is beloved. The engineering is strong. But the organization around it has been through significant restructuring.

Founded in 2012 by Howie Liu, Andrew Ofstad, and Emmett Nicholas, Airtable spent a decade building the spreadsheet-database hybrid that enterprise teams couldn’t stop adopting. It peaked at a $11.7 billion valuation in 2021, rode the pandemic productivity wave to 1,700 employees, and then hit the same wall as every other overfunded SaaS company: the market corrected, and Airtable had to correct with it.

What makes Airtable’s story interesting in 2026 isn’t the layoffs themselves — those rounds are two and three years old. It’s what happened after. The company achieved cash flow positivity in late 2024, launched its first standalone product in 13 years (Superagent, an AI agent platform), hired a CTO from OpenAI, and is now positioned as an AI-native company rather than a spreadsheet tool. Whether that pivot will work — and whether the culture can support it — is the real question for anyone evaluating an offer.

## Airtable at a Glance

Founded

2012

Headquarters

San Francisco, CA

CEO

Howie Liu (Co-founder)

Company Size

~900 employees

Valuation

~$4B (down from $11.7B peak)

Revenue

$478M+ ARR

Glassdoor Rating

3.8 / 5.0 (~240 reviews)

Work-Life Balance

4.0 / 5.0

Recommend to Friend

71%

Culture Values

[Product Impact](https://jobsbyculture.com/values/product-impact), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Learning](https://jobsbyculture.com/values/learning), [Diverse](https://jobsbyculture.com/values/diverse)

3.8

Glassdoor Rating

$478M

2024 ARR

21

Open Positions

## The Layoffs: What Actually Happened

Let’s address this directly, because it’s a common question about Airtable. Across two rounds — 254 employees (~20% of staff) in December 2022 and 237 employees (~27%) in September 2023 — Airtable shed roughly 491 roles. Headcount went from a peak near 1,270 employees down to approximately 900 today, where it has stabilized.

CEO Howie Liu framed the cuts as a refocus on larger enterprise customers and a path to sustainable growth. The business numbers suggest he was right: Airtable hit cash flow positivity in late 2024 and has maintained it since. The company reported $478M ARR for 2024, growing 27% year-over-year. The company isn’t dying — it’s operating more efficiently than ever.

But the cultural impact is real and still reverberating. Multiple employee reviews written in 2024-2025 describe a tougher office culture and a lingering sense that further cuts could come. The 3.8 Glassdoor rating has held up reasonably well — partly because many of the disaffected employees left and wrote their reviews during the exit, and partly because the people who remain say they genuinely believe in the product.

Common Glassdoor Con Reviewers consistently mention reduced trust in leadership after two rounds of cuts and a quieter, less collaborative day-to-day environment.

Employee Pro “Coworkers are incredibly smart, kind, and thoughtful. Dedicated culture ambassadors plan events and build community. One of the rare tech companies maintaining values regarding DEI, work-life balance, and employee happiness.”

## The AI Pivot: Superagent and the New CTO

If Airtable had simply cut costs and kept running the same product, the story would end there. Instead, the company made two moves that signal a genuine strategic shift.

First: Airtable hired David Azose as CTO — previously the engineering lead for ChatGPT’s business products at OpenAI. This wasn’t a “we need someone who understands AI” hire; it was a statement about the company’s future. Azose brought deep experience in building AI systems at scale, and his mandate is clear: turn Airtable from a platform that uses AI features into a platform that _is_ AI-native.

Second: in January 2026, Airtable launched Superagent — its first standalone product in 13 years. Available at superagent.com, it’s an AI agent platform that uses “multi-agent coordination”: a central system breaks complex requests into plans, dispatches specialized agents to work in parallel, and synthesizes results into interactive deliverables. It’s not a chatbot bolted onto a spreadsheet. It’s a new product that leverages Airtable’s deep understanding of structured data and workflows.

For engineers considering Airtable, this pivot matters. The company is hiring for roles that didn’t exist 18 months ago: ML engineers building agent orchestration systems, platform engineers designing multi-tenant inference infrastructure, and full-stack engineers building the interfaces between human workflows and AI agents. If you want to work on agentic AI at a company with real customers and real revenue (not a pre-revenue startup burning runway), Airtable is a genuinely interesting option.

## Glassdoor Ratings Breakdown

Airtable’s 3.8 overall rating places it in the middle of the pack among the [118 companies in our Culture Directory](https://jobsbyculture.com/companies). Given two rounds of layoffs over nine months, the rating has held up reasonably well — particularly the 4.0 work-life-balance sub-score and the 91% Software Engineer recommendation rate, which suggest the core engineering experience for remaining employees is still positive.

Overall Rating 3.8

Work-Life Balance 4.0

Culture & Values 3.8

Career Opportunities 3.7

Senior Management 3.5

The pattern tells a clear story. Work-life balance remains strong at 4.0 — Airtable doesn’t grind people the way high-growth startups do. But Senior Management at 3.5 reflects the trust deficit the layoffs created. When you cut roughly a third of your headcount over two rounds, the remaining employees watch leadership more carefully. Every decision gets scrutinized. Every reorg triggers anxiety. That’s the tax Airtable is still paying.

## Compensation: Still Paying Well

One thing Airtable hasn’t compromised on is pay. Engineer compensation remains highly competitive:

IC3 (Mid-level)

~$226K total comp

IC4 (Senior)

$340K – $395K

IC5 (Staff)

$438K – $550K

IC6–7 (Principal+)

$550K – $650K+

New Grad (2026)

~$170K

Median (all levels)

~$445K

These numbers place Airtable in the same tier as [Stripe](https://jobsbyculture.com/companies/stripe) and [Figma](https://jobsbyculture.com/companies/figma) — below frontier AI labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) and [OpenAI](https://jobsbyculture.com/companies/openai), but solidly in the top quartile for product companies. The equity component carries more risk than it did when Airtable was valued at $11.7B (current secondary market pricing is ~$4B), but the cash compensation is strong and the equity upside is real if the AI pivot works.

Benefits remain robust: comprehensive healthcare, generous parental leave, hybrid/remote flexibility, home office stipend, and an L&D budget. Multiple reviews specifically call out the benefits package as a reason to stay even when morale dipped.

## Engineering Culture: What It’s Like to Build Here

Airtable’s engineering culture has always been one of its strongest selling points. The platform handles genuinely complex technical challenges: real-time collaboration across millions of bases, a flexible schema system that supports everything from project management to CRM to product launches, and now AI agent orchestration layered on top.

Engineers here own their systems end-to-end. The frontend team works in React and TypeScript. Backend services run on a microservices architecture with significant data infrastructure. The AI/ML team is now working on multi-agent systems, embedding pipelines, and inference optimization. If you’re an engineer who wants to work on problems that span the full stack and have real user impact (300,000+ organizations depend on what you build), this is a compelling environment.

The engineering team has gotten more senior since the layoffs. Recent reviews from late 2025 note that “remaining people are highly intelligent and low ego, with actual friendships and willingness to collaborate.” The company shifted toward hiring more experienced engineers, and process improvements have followed. This is common after layoffs — the remaining team is smaller, more focused, and often more collaborative because everyone who stayed chose to be there.

Employee Pro “Great tech. Strong technical culture with high engineering standards. 91% of engineers recommend. Build a platform used by 300,000+ organizations.”

## The Trade-Offs: What to Watch Out For

Airtable isn’t for everyone, and the post-layoff environment introduces specific risks that you should evaluate honestly before accepting an offer.

### Leadership trust deficit

The 3.5 Senior Management score isn’t noise. Reviews consistently mention a “lack of confidence in leadership” and “constant sense of unease.” When leadership makes a decision, employees ask “is this the warm-up for another round?” rather than “how do we execute this?” That ambient anxiety makes it harder to take bold technical bets or invest in long-term projects.

### Strategic uncertainty

Airtable is simultaneously maintaining a mature platform business ($478M ARR) and building a new AI-native product line. These often require different organizational muscles. Some employees describe leadership as “trying to catch the AI wave but lacking real vision.” The CTO hire from OpenAI should help, but organizational alignment takes time.

### Valuation risk on equity

If you received equity at the $11.7B valuation, it’s underwater at $4B. New hires get struck at the current price, which is actually advantageous — you’re buying in at a compressed valuation with a company that’s growing 27% and is cash flow positive. But there’s no IPO timeline and limited secondary market liquidity.

Employee Con “Leadership seems at a loss, trying to catch the AI wave but lacking real vision. Communication from leadership could improve — management quality varies by team.”

## Who Should Join Airtable in 2026

-   **Engineers who want to build AI agents at a company with revenue.** Unlike pre-revenue AI startups, Airtable has 300,000+ customer organizations, $478M ARR (2024), and cash flow positivity. You’re building AI on top of real usage, not theoretical use cases.
-   **People who value work-life balance.** The 4.0 WLB score is genuine. Airtable isn’t a grind shop. If you’re coming from a place like [Scale AI](https://jobsbyculture.com/companies/scale) (2.7 WLB) or a YC startup doing 70-hour weeks, you’ll feel the difference immediately.
-   **Senior engineers who want ownership.** The smaller team means more scope per person. You won’t be one of 500 engineers fighting for interesting problems. With ~900 total employees and an aggressive AI roadmap, individual contributors have outsized influence.
-   **People comfortable with ambiguity.** Airtable is mid-transformation. The strategy is evolving. If you need a fully baked roadmap and stable org chart, this isn’t for you. If you thrive in environments where you help define the direction, it’s interesting.

Airtable is _not_ ideal for people who want organizational stability above all else, or for those who need strong mentorship from experienced managers (the management layer was disproportionately hit in the layoffs). It’s also not for engineers who want to work on pure ML research — this is applied AI, focused on shipping useful agent experiences to paying customers. For the research angle, look at [DeepMind](https://jobsbyculture.com/companies/deepmind) or [Anthropic](https://jobsbyculture.com/companies/anthropic) instead.

## Open Positions at Airtable

Airtable currently has **38 open positions** listed on our platform. Hiring is selective and focused — primarily in engineering (AI/ML, platform, full-stack), product, and go-to-market roles. The low headcount reflects a company that’s hiring deliberately rather than spraying requisitions. Each role has meaningful scope.

For the full breakdown of Airtable’s open roles, culture values, and side-by-side comparisons with other companies, visit the [Airtable culture profile page](https://jobsbyculture.com/companies/airtable).

## Frequently Asked Questions About Working at Airtable

How many employees does Airtable have in 2026?+

Airtable has approximately 900 employees as of 2026. The company peaked near 1,270 employees before two rounds of layoffs — 254 people (~20%) in December 2022 and 237 people (~27%) in September 2023. They have since stabilized, achieved cash flow positivity, and are selectively hiring in AI, engineering, and go-to-market roles. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

Did Airtable have layoffs?+

Yes. Airtable cut 254 employees (~20% of staff) in December 2022 and 237 employees (~27%) in September 2023, for ~491 reductions total. Headcount went from a peak near 1,270 to roughly 900 today. CEO Howie Liu cited the need to refocus on larger enterprise customers and reach cash flow positivity. As of 2026, Airtable has stabilized and is cash-flow positive.

What is Airtable's Glassdoor rating?+

Airtable has a 3.8 out of 5.0 overall Glassdoor rating based on ~240 reviews. Work-life balance is strong at 4.0/5. Senior Management is the weakest category at 3.5/5, reflecting post-layoff trust issues. 71% of employees overall recommend it to a friend (91% of Software Engineers specifically). See our [full Airtable culture profile](https://jobsbyculture.com/companies/airtable) for the complete breakdown.

What is Airtable's valuation in 2026?+

Airtable is valued at approximately $4 billion on secondary markets as of 2026, down from its $11.7 billion peak in late 2021. The company has $478M+ in annual recurring revenue, is growing 27% year-over-year, and achieved cash flow positivity in late 2024. CEO Howie Liu has framed the valuation compression as the “warm-up” before a new AI-driven growth phase.

What is Airtable's compensation for engineers?+

Total compensation for software engineers at Airtable ranges from $226k (IC3) to $650k+ (IC7). The median total comp across all engineering levels is approximately $445k. Senior engineers (IC4) typically earn $340k–$395k, while Staff engineers (IC5) earn $438k–$550k. New grad positions start around $170k total comp. Compensation includes base salary, equity (RSUs struck at current ~$4B valuation), and bonuses.

Is Airtable a good company to work for in 2026?+

It depends on your priorities. Airtable scores well on work-life balance (4.0/5), technical challenges, compensation, and DEI. The company is mid-transformation — pivoting into AI with Superagent while maintaining its core platform. Risks include post-layoff cultural debt, leadership trust deficit, and compressed equity valuation. It’s best for engineers who want to shape an AI product pivot at a company with strong revenue fundamentals.

### Explore Airtable’s culture & open roles

See Airtable’s 38 open positions alongside culture data, ratings, and comparisons with 118 other companies.

[View Airtable Profile →](https://jobsbyculture.com/companies/airtable) [Browse Airtable Jobs →](https://jobsbyculture.com/jobs?company=airtable)

---

## Document: Anthropic in 2026: Number of Employees, Glassdoor Rating, Salary & Culture

# Anthropic in 2026: Number of Employees, Glassdoor Rating, Salary & Culture

> How many employees does Anthropic have in 2026? Roughly 5,000 as of mid-2026. Full breakdown of headcount, $47B run-rate revenue, 4.4 Glassdoor rating, $300k-$490k engineer comp, and what working there is really like.

Source: https://jobsbyculture.com/blog/working-at-anthropic-2026
Markdown: https://jobsbyculture.com/blog/working-at-anthropic-2026.md
Last updated: 2026-07-14

---
## How Many Employees Does Anthropic Have?

As of mid-2026, Anthropic has roughly **5,000 employees**. The company has grown rapidly from ~800 employees in early 2024 on the back of multiple multi-billion-dollar funding rounds. Anthropic's headcount is concentrated in San Francisco, with smaller teams in New York, London, and Dublin, and the company continues to hire aggressively across research, engineering, product, and policy.

Anthropic is one of the most talked-about companies in AI. Founded in 2021 by former OpenAI VP of Research Dario Amodei and his sister Daniela (along with several other ex-OpenAI colleagues), the company has grown from a small research lab into one of the leading AI organizations, with a $965 billion Series H post-money valuation announced in May 2026 and run-rate revenue above $47 billion. Its flagship product, [Claude](https://jobsbyculture.com/companies/anthropic), is widely considered one of the best large language models available. But what is it actually like to work there?

We pulled Glassdoor data, real employee reviews, compensation benchmarks, and culture signals to give you the most complete picture of working at Anthropic in 2026. Whether you're considering an offer, prepping for an interview, or just curious about AI safety culture from the inside, this is what you need to know.

## Anthropic at a Glance

Before we dive into the details, here are the numbers that matter.

Metric

Detail

Founded

2021

Headquarters

San Francisco, CA

Company Size

~5,000 employees (mid-2026)

Glassdoor Rating

4.4 / 5.0 (222 reviews)

Work-Life Balance

3.7 / 5.0

Valuation

$965B (Series H, May 2026)

CEO Approval

93% (Dario Amodei)

Recommend to Friend

95%

A 4.4 Glassdoor rating puts Anthropic in the top tier of AI companies in our [Culture Directory](https://jobsbyculture.com/companies). For context, [OpenAI](https://jobsbyculture.com/companies/openai) sits at 4.5, [DeepMind](https://jobsbyculture.com/companies/deepmind) at 4.2, and [Cohere](https://jobsbyculture.com/companies/cohere) at 2.9. The 95% "recommend to a friend" rate is exceptionally high and suggests that even employees who have criticisms still believe the company is a great place to work.

4.4 / 5.0

Glassdoor Overall Rating — 222 Reviews

## What Makes Anthropic's Culture Different

Anthropic's culture is defined by one thing above all else: the AI safety mission is real. This isn't a marketing slogan slapped on a careers page — it's the reason the company was founded. Dario and Daniela Amodei left [OpenAI](https://jobsbyculture.com/companies/openai) because they believed a different approach to AI safety was needed. That founding story permeates the entire organization.

According to employee reviews and our analysis of [Anthropic's culture profile](https://jobsbyculture.com/companies/anthropic), six core values define the day-to-day experience:

[Ethical AI](https://jobsbyculture.com/values/ethical-ai) [Learning](https://jobsbyculture.com/values/learning) [Equity](https://jobsbyculture.com/values/equity) [Social Impact](https://jobsbyculture.com/values/social-impact) [Eng-Driven](https://jobsbyculture.com/values/eng-driven)

The [ethical AI](https://jobsbyculture.com/values/ethical-ai) commitment shows up in tangible ways. The company developed Constitutional AI (CAI), a novel approach to aligning language models with human values. Teams actively work on interpretability research — understanding _why_ models behave the way they do, not just making them perform better on benchmarks. For researchers and engineers who care about building AI that's safe and beneficial, this is one of the few companies where that mission is embedded in the work itself, not siloed in a separate "responsible AI" team.

Anthropic operates more like a research lab than a traditional tech company. Engineers and researchers have significant autonomy, small teams own entire projects end-to-end, and there's less bureaucratic overhead than you'd find at a company like Google or Meta. The trade-off is that career ladders and promotion criteria can feel undefined — a common complaint in Glassdoor reviews.

The [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture means that technical decisions are made by the people closest to the work, not by product managers or executives several levels removed. If you're an engineer who wants to ship meaningful work with minimal politics, this is a strong draw. If you're someone who prefers clear process and well-defined roles, the startup-style ambiguity might be frustrating.

## Glassdoor Ratings Breakdown

The 4.4 overall score hides some interesting variance across sub-categories. Compensation is Anthropic's strongest area, while work-life balance is the weakest — a pattern common among high-growth AI companies.

Compensation & Benefits

4.8

Culture & Values

4.5

Overall Rating

4.4

Senior Management

4.2

Career Opportunities

4.0

Work-Life Balance

3.7

The 4.8 compensation score is the highest of any company in our database. The 3.7 work-life balance score, while not terrible, places Anthropic 16th out of 118 companies in our [WLB rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026) — firmly in the "amber" zone. For comparison, [Linear](https://jobsbyculture.com/companies/linear) scores 4.4 on WLB while [Scale AI](https://jobsbyculture.com/companies/scale) bottoms out at 2.7.

The 4.2 senior management score reflects the generally positive view of Dario Amodei's leadership (93% CEO approval), though some reviews note that the rapid scaling from a small research lab to a ~5,000-person company has created growing pains in middle management. Career opportunities at 4.0 is solid but hints at the undefined promotion criteria mentioned earlier.

## What Employees Actually Say

Numbers tell part of the story. Employee voices tell the rest. Here are the recurring themes from Glassdoor reviews, pulled directly from our [Anthropic culture profile](https://jobsbyculture.com/companies/anthropic).

### What employees love

Pro "Mission-driven to the core, not marketing — the safety focus is genuine and deeply embedded"

Pro "Incredible autonomy and ownership, even for mid-level engineers"

Pro "Top-tier compensation: $300k–$490k TC for engineers"

Pro "Smart, humble, low-ego coworkers who genuinely care about the work"

Pro "Cutting-edge research: Claude, Constitutional AI, and interpretability work"

The theme that appears most consistently is the quality of coworkers. "Smart, humble, low-ego" shows up in review after review. When the bar for hiring is this high, it creates a flywheel: talented people want to work with other talented people, which makes recruiting easier, which keeps the bar high. It also means the interview process is famously rigorous — expect multiple technical rounds and a strong emphasis on alignment with the company's safety mission. To prepare, review our [culture fit interview questions](https://jobsbyculture.com/blog/culture-fit-interview-questions) organized by value.

### What could be better

Con "High-intensity environment — extended work hours are common during peak periods"

Con "Processes still catching up to hypergrowth; some things feel ad-hoc"

Con "Some teams lack clear career ladders or promotion criteria"

Con "SF-heavy despite 'remote-friendly' label — remote employees can feel out of the loop"

The work-life balance concern is worth taking seriously. A 3.7 WLB score paired with comments about "extended work hours during peak periods" suggests that while Anthropic isn't a sweatshop, it's not a 9-to-5 either. This is a company racing to build safe AGI — and that urgency translates to intensity. If you're comparing Anthropic to [Notion](https://jobsbyculture.com/companies/notion) (WLB: 4.2) or [HubSpot](https://jobsbyculture.com/companies/hubspot) (WLB: 4.1) on the work-life balance axis, those companies will win. But if you're comparing it to [OpenAI](https://jobsbyculture.com/companies/openai) (WLB: 3.6) or [Perplexity](https://jobsbyculture.com/companies/perplexity) (WLB: 3.3), Anthropic is actually the better option.

The remote work situation is nuanced. Anthropic describes itself as "remote-friendly" but the reality, per employee reviews, is that San Francisco is the center of gravity. Some roles and teams are fully remote, but career advancement and inclusion in key decisions may skew toward in-office employees. If remote work is non-negotiable for you, check out our list of [remote-friendly AI companies actually hiring in 2026](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026).

## Compensation & Benefits

Compensation is Anthropic's crown jewel — a 4.8/5.0 Glassdoor rating for comp and benefits, the highest in our entire [directory of 118 companies](https://jobsbyculture.com/companies). Here's what we know.

$300k–$490k

Total Compensation Range for Engineers

For software engineers and research scientists, total compensation (base + equity + bonus) typically falls in the **$300k–$490k range**, with senior and staff-level roles pushing well above that. This puts Anthropic in the top tier alongside [OpenAI](https://jobsbyculture.com/companies/openai) and ahead of most other AI labs. A few things to note about the comp structure:

-   **Equity is meaningful.** At a $965B post-money valuation (Series H, May 2026) with run-rate revenue above $47B and an IPO confidentially filed, Anthropic equity carries real upside potential — though new joiners are buying in at a much higher strike than earlier employees.
-   **Base salaries are competitive.** Unlike some startups that lean heavily on equity to make up for below-market base, Anthropic pays well on both axes.
-   **Benefits include** comprehensive health insurance, generous PTO, 401(k), and the standard Silicon Valley perks (meals, commuter benefits, learning stipends).
-   **Research scientists** with PhDs and strong publication records can command even higher packages, given the fierce competition for top ML talent between Anthropic, [OpenAI](https://jobsbyculture.com/companies/openai), [DeepMind](https://jobsbyculture.com/companies/deepmind), and big tech labs.

For a detailed side-by-side on how Anthropic's comp stacks up against its biggest rival, see our [Anthropic vs OpenAI culture comparison](https://jobsbyculture.com/blog/anthropic-vs-openai-culture-comparison) or use the [interactive comparison tool](https://jobsbyculture.com/compare/anthropic-vs-openai).

## Engineering Culture & Tech Stack

Anthropic's technical environment reflects its research-lab DNA. The engineering culture is built around small, autonomous teams that own projects end-to-end, high individual ownership where engineers at all levels contribute to cutting-edge research, and a heavy emphasis on publishing and open research.

### Tech Stack

Python Rust JAX PyTorch

The stack is what you'd expect from a frontier AI lab: **Python** and **JAX** for model training and research, **Rust** for performance-critical infrastructure, and **PyTorch** for certain workloads. The company operates at massive scale — training Claude requires thousands of GPUs and petabytes of data — so infrastructure engineering is as important as research.

### How Teams Work

Anthropic's organizational structure is research-lab-style with high autonomy. Engineers are expected to drive projects from conception to deployment. There's minimal hand-off between "research" and "engineering" — the same person who designs an approach often implements and ships it. This is a major draw for engineers who want high ownership but can be disorienting for people coming from companies with well-defined roles and processes.

The company publishes peer-reviewed research papers regularly, maintains an [active research blog](https://www.anthropic.com/research?ref=jobsbyculture.com), and is deeply embedded in the AI safety research community. If you're an engineer who wants to work at the frontier of ML while publishing papers and contributing to the broader research conversation, this is one of the best environments in the world for that.

For engineers who value this type of [engineering-driven culture](https://jobsbyculture.com/values/eng-driven), Anthropic ranks among the strongest in our database alongside [Linear](https://jobsbyculture.com/companies/linear), [Vercel](https://jobsbyculture.com/companies/vercel), and [Replit](https://jobsbyculture.com/companies/replit).

## Who Thrives at Anthropic

Based on employee reviews, culture signals, and the company's own hiring philosophy, here's the profile of someone who tends to thrive at Anthropic — and who might struggle.

### You'll love it if you...

-   **Care deeply about AI safety.** This isn't optional. The safety mission permeates everything, and employees who find it motivating report the highest satisfaction.
-   **Want high autonomy.** You'll be expected to drive your own work with minimal hand-holding. If you thrive with ownership, this is ideal.
-   **Value smart coworkers over brand names.** The team is consistently praised as humble, low-ego, and deeply technical. Status-seeking doesn't play well here.
-   **Are comfortable with ambiguity.** Processes are still being built. If you can navigate a fast-growing company where not everything is defined, you'll do well.
-   **Want top-tier compensation.** The money is hard to beat. The $300k–$490k TC range plus meaningful equity is a genuine differentiator.

### You might struggle if you...

-   **Prioritize strict work-life balance.** The 3.7 WLB score reflects a high-intensity environment. If firm boundaries are non-negotiable, consider companies like [Linear](https://jobsbyculture.com/companies/linear) or [Pinecone](https://jobsbyculture.com/companies/pinecone) instead.
-   **Need clear career progression.** Promotion criteria and career ladders are still being formalized in some teams.
-   **Want a fully remote experience.** The company leans SF-heavy. Remote employees report feeling less connected to the core decision-making.
-   **Prefer well-defined processes.** The research-lab-meets-startup operating style means things can feel ad-hoc, especially during rapid growth periods.

The consensus among employees, as captured in our [Anthropic profile](https://jobsbyculture.com/companies/anthropic): "Choose Anthropic if you want genuine AI safety mission, elite comp, and high autonomy — but expect intense hours."

## Open Positions at Anthropic

Anthropic currently has **409 open positions** across research, engineering, product, policy, and operations. Roles span San Francisco (the majority), New York, Seattle, London, and some remote positions. See how Anthropic's WLB compares in our [SF](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-san-francisco-2026) and [NYC](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-new-york-2026) rankings.

Popular role categories include:

-   **Research Scientists** — Alignment, interpretability, reward modeling, and frontier capability research
-   **Research Engineers** — Building and scaling the infrastructure that powers Claude
-   **Software Engineers** — API platform, developer tools, security, and reliability
-   **Product & Design** — Shaping how Claude is used by millions of people
-   **Policy & Safety** — Government relations, trust & safety, and AI policy research

For the full list of live openings with location filters, visit the [Anthropic jobs page](https://jobsbyculture.com/jobs?company=anthropic) or explore all roles on the [Anthropic culture profile](https://jobsbyculture.com/companies/anthropic).

## Frequently Asked Questions About Working at Anthropic

What is Anthropic's Glassdoor rating in 2026?+

Anthropic has a 4.4 out of 5.0 Glassdoor rating based on 222 employee reviews. 95% of employees recommend working there, and CEO Dario Amodei has a 93% approval rating. Compensation is rated highest at 4.8/5 ($300k–$490k TC for engineers), while work-life balance is the lowest sub-score at 3.7/5. For context, this places Anthropic above OpenAI (4.5 overall but 72% CEO approval) on employee satisfaction. See our full [Anthropic culture profile](https://jobsbyculture.com/companies/anthropic).

What is the work-life balance at Anthropic?+

Work-life balance at Anthropic is rated 3.7 out of 5.0 on Glassdoor. Employees report extended work hours during peak periods, with some describing 60+ hour weeks during critical research sprints. The intensity reflects the urgency of building safe AI — not poor management. For comparison, [PostHog](https://jobsbyculture.com/companies/posthog) scores 4.5 WLB, [Tailscale](https://jobsbyculture.com/companies/tailscale) scores 4.5, and [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) scores 4.3. If WLB is your top priority, see our [best AI companies for WLB rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026).

How many employees does Anthropic have in 2026?+

As of May 2026, Anthropic has approximately 3,000–5,000 employees. The company has grown rapidly from ~800 employees in early 2024, fueled by $7.6 billion in funding. Anthropic's headcount is concentrated in San Francisco, with smaller teams in New York, London, and Dublin. The company currently has 409 open positions, indicating continued aggressive hiring. See our [full AI company employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026) for how all 118 companies compare.

Is Anthropic remote friendly?+

Anthropic describes itself as "remote-friendly" but the reality is nuanced. San Francisco is the center of gravity — most key meetings, decisions, and leadership are SF-based. Some roles are fully remote, but career advancement and inclusion in key decisions may skew toward in-office employees. If you want genuinely remote-first companies, consider [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) (100% remote, no offices, 40+ countries), [PostHog](https://jobsbyculture.com/companies/posthog) (fully remote, 30+ countries), or [Supabase](https://jobsbyculture.com/companies/supabase) (fully remote, same pay worldwide). See our [full Anthropic remote work policy breakdown](https://jobsbyculture.com/blog/anthropic-remote-work-policy-2026) and [remote-friendly AI companies guide](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026).

What is Anthropic's compensation for engineers?+

Total compensation for software engineers and research scientists at Anthropic typically falls in the $300k–$490k range, including base salary, equity, and bonus. Compensation is rated 4.8/5 on Glassdoor — the highest sub-score and one of the best across all 118 companies in our [directory](https://jobsbyculture.com/companies). For comparison, OpenAI offers $350k–$550k and Databricks offers $280k–$450k. See our [highest-paying AI companies rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

What is Anthropic's culture like?+

Anthropic operates more like a research lab than a traditional tech company. The culture is genuinely mission-driven around AI safety — this isn't marketing, it's the reason the company was founded by Dario and Daniela Amodei (ex-OpenAI). Engineers have significant autonomy with small teams owning projects end-to-end. Employees describe smart, humble, low-ego coworkers. The pace is intense but the safety mission is real. Culture values include [Ethical AI](https://jobsbyculture.com/values/ethical-ai), [Engineering-Driven](https://jobsbyculture.com/values/eng-driven), [Learning & Growth](https://jobsbyculture.com/values/learning), and [Strong Comp & Equity](https://jobsbyculture.com/values/equity).

What is it like to work as a software engineer at Anthropic?+

Software engineers at Anthropic work on cutting-edge AI systems including Claude, Constitutional AI, and interpretability research. The tech stack includes Python, Rust, JAX, and PyTorch. Engineers have high autonomy and own projects end-to-end in a flat, research-lab-style organization. The work is intellectually demanding and the pace is fast. Compensation is top-tier ($300k–$490k TC). The trade-off is intensity — WLB is 3.7/5 and extended hours are common during research sprints.

### Browse all 13,906 jobs from 118 companies

Find your next role at Anthropic or any of the 29 AI & tech companies in our culture directory.

[See Anthropic Jobs →](https://jobsbyculture.com/jobs?company=anthropic) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Asana in 2026: 1,700 Employees, CEO Transition, Salary & Culture

# Asana in 2026: 1,700 Employees, CEO Transition, Salary & Culture

> Working at Asana in 2026: 1,700 employees, new CEO Dan Rogers, 4.1 Glassdoor rating, $164k-$415k engineer comp, and what the mindful culture is really like inside the company.

Source: https://jobsbyculture.com/blog/working-at-asana-2026
Markdown: https://jobsbyculture.com/blog/working-at-asana-2026.md
Last updated: 2026-07-14

---
In June 2025, Dustin Moskovitz did something unusual for a billionaire tech founder: he quit. After 17 years leading [Asana](https://jobsbyculture.com/companies/asana), the company he co-founded with Justin Rosenstein in 2008, Moskovitz stepped down as CEO and moved to Board Chair. His reason, as he candidly told employees, was that the role no longer fit him — he's an introvert who built a company around mindfulness and sustainable work, and found the demands of running a public company increasingly at odds with that philosophy.

What Moskovitz left behind is one of the most intentional workplace cultures in tech. Asana doesn't just talk about work-life balance — it scores a 4.2/5 on Glassdoor for WLB, one of the strongest marks among public companies in our [directory of 118 companies](https://jobsbyculture.com/companies). It doesn't just claim to value diversity — it scores 4.4/5 for D&I, higher than nearly every company we track. And it doesn't just say it cares about how work gets done — its entire product exists to solve what the company calls "the work about work" problem.

Now, under new CEO Dan Rogers, Asana is pivoting hard toward AI with its "Agentic Enterprise" strategy while trying to preserve the culture that makes it distinctive. Whether you're considering an offer, preparing for an interview, or evaluating Asana against other employers, here's an honest look at what working there is actually like in 2026.

## Asana at a Glance

Founded

2008

Headquarters

San Francisco, CA (hybrid)

Founders

Dustin Moskovitz & Justin Rosenstein

CEO

Dan Rogers (since mid-2025)

Public

NYSE: ASAN

Revenue

~$790M (FY2026)

Company Size

~1,700 employees

Glassdoor Rating

4.1 / 5.0 (~950 reviews)

Work-Life Balance

4.2 / 5.0

Recommend to Friend

78%

Culture Values

[Work-Life Balance](https://jobsbyculture.com/values/wlb), [Transparent](https://jobsbyculture.com/values/transparent), [Learning](https://jobsbyculture.com/values/learning), [Product Impact](https://jobsbyculture.com/values/product-impact), [Diverse](https://jobsbyculture.com/values/diverse)

170K+

Customers Worldwide

4.2 / 5

Work-Life Balance Score

$790M

Annual Revenue (FY2026)

## The Mindful Company

Asana's culture is unlike anything else in enterprise software. Where most B2B SaaS companies optimize for speed, growth metrics, and hustle, Asana has deliberately built a culture around intentionality and [sustainable pace](https://jobsbyculture.com/values/wlb). This isn't accidental — it traces directly to Moskovitz's personal philosophy and his experience watching Facebook's move-fast-and-break-things ethos burn people out.

The most visible expression of this is **No Meeting Wednesdays** — every Wednesday is protected for deep work. No recurring meetings, no standups, no syncs. Engineers get a full day to write code without context-switching. Product managers get time to think strategically. It sounds simple, but in practice it's remarkably rare for a company of 1,700 people to enforce this consistently. Employee reviews confirm it's real, not just aspirational.

Beyond NMW, Asana's culture emphasizes [radical transparency](https://jobsbyculture.com/values/transparent). Company financials, strategic decisions, and leadership discussions are broadly shared. All-hands meetings include candid Q&A. The operating principle is that informed employees make better decisions — and that transparency builds trust that survives hard times, like the recent headcount reductions.

Employee Pro "No Meeting Wednesdays are sacred — you genuinely get a full day of focused work every single week. I've never seen this actually work at other companies."

Asana also practices what it preaches. The entire company runs on its own product, dogfooding every feature before it ships. This creates a tight feedback loop between the engineering team and the product — every bug, every UX frustration, every workflow bottleneck is felt internally first. For engineers who care about [product impact](https://jobsbyculture.com/values/product-impact), this is a genuine perk: you're building something you use every day, and you can see how your work affects 170,000+ customer organizations.

## The CEO Transition: Moskovitz to Rogers

The biggest question about Asana in 2026 is whether the culture survives its founder's departure. Moskovitz wasn't just the CEO — he was the cultural architect. His mindfulness practices, his emphasis on sustainable work, his willingness to sacrifice short-term growth for long-term employee well-being: these things came from the top and permeated the organization.

Dan Rogers, who took over as CEO effective July 21, 2025, came from outside Asana — he was previously CEO of LaunchDarkly, with earlier senior roles at Rubrik and ServiceNow. He has deep enterprise SaaS experience but is still building context on Asana's specific culture. As a public company with FY2026 revenue around $790M (9% YoY growth) and a stock price that has been under pressure, Rogers is focused on the "Agentic Enterprise" pivot — embedding AI agents into Asana's workflow platform to help teams automate routine work coordination.

Early signals are mixed. On the positive side, Rogers has publicly committed to preserving No Meeting Wednesdays and Asana's core cultural practices. He's kept the [learning and development](https://jobsbyculture.com/values/learning) programs intact. The company's Glassdoor scores haven't dropped since the transition. On the other hand, some reviewers note that the pace is picking up, that there's more urgency around AI features, and that the "move thoughtfully" ethos is being tested by competitive pressure from Monday.com, Notion, and the broader AI productivity wave.

Employee Con "The culture is still good but shifting. There's more pressure to ship faster since the leadership change. Still better WLB than most places, but the direction concerns some longtime employees."

Moskovitz remains involved as Board Chair, which provides a cultural backstop. But founder-to-professional-CEO transitions are inherently risky for culture-forward companies, and Asana employees are watching closely.

## Glassdoor Ratings Breakdown

Asana's overall Glassdoor rating of 4.1 out of 5.0, based on ~950 employee reviews, places it comfortably above average among the [118 companies in our directory](https://jobsbyculture.com/companies). What makes Asana's profile distinctive is the strength of its Work-Life Balance and Diversity scores — these are the areas where Asana genuinely leads.

Diversity & Inclusion 4.4

Work-Life Balance 4.2

Overall Rating 4.1

The Diversity & Inclusion score of 4.4 is among the highest in our directory — higher than [HubSpot](https://jobsbyculture.com/companies/hubspot), [Notion](https://jobsbyculture.com/companies/notion), and most AI labs. This reflects genuine investment: Asana publishes annual diversity reports with specific data, maintains active employee resource groups, and has visible representation in leadership. For candidates who prioritize working in a [diverse and inclusive](https://jobsbyculture.com/values/diverse) environment, this is one of Asana's strongest differentiators.

The 4.2 WLB score places Asana among the top tier of public tech companies for [work-life balance](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026). For context, Stripe scores 3.6, and even well-regarded companies like Databricks and Cloudflare sit in the 3.5–3.8 range. Asana's WLB is genuinely exceptional for a company operating at this scale and revenue level.

## Compensation Breakdown

Asana's compensation is competitive but not top-of-market. The company pays well for enterprise SaaS but can't match the frontier AI labs or top fintech companies on raw total comp. Here's how software engineer compensation breaks down by level, based on employee-reported data:

L3 (Junior)

~$164K total comp

L4 (Mid-Level)

~$241K total comp

L5 (Senior)

~$359K total comp

L6 (Staff+)

~$415K total comp

Total compensation includes base salary, RSUs (Asana is publicly traded on NYSE, so equity is liquid), and annual bonus. The equity component is meaningful but carries stock price risk — ASAN has been volatile, and employees who joined at higher valuations have seen paper losses. That said, for those who believe in Asana's AI pivot, the current valuation may represent upside.

Benefits are strong: generous parental leave, wellness stipends, learning budgets, and comprehensive healthcare. Asana also offers a unique "recharge" benefit — company-wide weeks off several times a year where the entire organization shuts down, ensuring that taking time off doesn't result in an overflowing inbox. This is a tangible expression of the WLB philosophy, and employees consistently cite it as one of the best perks.

## Engineering Culture

Asana's engineering organization is smaller and more focused than the mega-scale shops. With ~1,700 total employees, the engineering team is lean enough that individual engineers have outsized impact on the product. This is a company where a single engineer's work can ship to 170,000+ organizations — a [product impact](https://jobsbyculture.com/values/product-impact) ratio that's hard to match at larger companies.

### Tech Stack

React TypeScript Python Java Luna (internal)

The frontend is React and TypeScript, with Asana's custom-built Luna framework handling much of the internal component architecture. The backend runs on Python and Java. Asana was an early adopter of TypeScript and has a mature, well-documented codebase. The engineering team has published extensively about their technical decisions, including their approach to performance optimization, real-time collaboration, and the challenges of building a work management platform that handles complex dependency graphs.

### What makes engineering at Asana distinctive

-   **Dogfooding everything.** Engineers use Asana to build Asana. Every sprint, every project, every cross-team collaboration runs through the product. This means engineers experience their own bugs, feel their own UX friction, and have a direct incentive to fix what's broken.
-   **No Meeting Wednesdays for real.** Engineers get a guaranteed full day of uninterrupted coding time. This is protected by organizational norm, not just individual discipline. It works because the whole company participates.
-   **Sustainable pace.** Unlike many startups where "crunch" is a seasonal inevitability, Asana's engineering culture actively discourages heroics. On-call rotations are well-staffed. Sprint planning accounts for realistic capacity. The 4.2 WLB score reflects engineering, not just non-technical roles.
-   **[Learning culture](https://jobsbyculture.com/values/learning).** Asana invests in engineering growth through internal tech talks, conference attendance budgets, and structured mentorship. Junior engineers consistently praise the onboarding experience and the availability of senior mentors.

Employee Pro "The engineering culture is thoughtful and sustainable. You can do great work here without burning out. The codebase is clean, the tooling is mature, and the team genuinely cares about craft."

## The Hybrid Question

Asana requires employees to be in the San Francisco office three days per week (Monday, Tuesday, Thursday). This is a firm policy, not a suggestion. For Bay Area residents, this is workable. For anyone hoping for a remote or distributed work arrangement, Asana is generally not the right fit.

Employee reviews are split on the hybrid model. Some appreciate the in-office collaboration and the quality of Asana's office space (the SF headquarters is widely praised as one of the best in tech). Others, especially those who relocated during COVID or prefer remote work, find the mandate frustrating.

Employee Con "The 3-day in-office requirement limits the talent pool. Great culture inside the office, but the policy means you need to live in SF or be willing to relocate."

The office itself is a reflection of Asana's culture: meditation rooms, nap spaces, excellent food, and thoughtfully designed work areas. If you're going to require in-office work, Asana at least makes the office worth coming to. But if you prioritize [remote flexibility](https://jobsbyculture.com/values/remote), companies like [GitLab](https://jobsbyculture.com/companies/gitlab), Zapier, or [Notion](https://jobsbyculture.com/companies/notion) offer a better fit.

## What Employees Actually Say

We analyzed recurring themes across Asana's ~950 Glassdoor reviews. Here's what stands out on both sides.

### What employees love

Employee Pro "Exceptional work-life balance for a public tech company — No Meeting Wednesdays, company recharge weeks, and a culture that doesn't glorify overwork"

Employee Pro "Transparency is real here. Leadership shares company financials, strategic decisions, and challenges openly. You feel informed and trusted."

Employee Pro "D&I isn't performative — it's woven into hiring, promotions, and daily work. One of the most genuinely inclusive environments I've worked in."

Employee Pro "Sustainable engineering pace. You can have a career here without sacrificing your health or relationships."

### What could be better

Employee Con "Senior management accountability is lacking — some leaders seem protected regardless of results"

Employee Con "Frequent reorgs create whiplash. Teams get shuffled, priorities shift, and it's hard to build long-term momentum on projects."

Employee Con "Stock performance has been disappointing. RSUs are a meaningful part of comp, and ASAN's price trajectory has been a source of frustration."

Employee Con "Mandatory hybrid 3 days/week in SF limits who can work here. Would love more remote flexibility."

The pattern is clear: Asana's strengths are genuine and well-earned — the WLB, the transparency, the D&I commitment. The weaknesses center on organizational execution (reorgs, management accountability) and external factors (stock performance, mandatory hybrid). For candidates who value a sustainable, inclusive, well-balanced workplace and are willing to accept public-company stock risk and SF-based hybrid work, Asana is one of the strongest options in the market.

## Who Thrives at Asana

Based on the culture signals, compensation data, and employee reviews, here's who tends to do well at Asana — and who should look elsewhere:

-   **People who value sustainability over intensity.** If you want to build a long, healthy career without burning out, Asana is built for you. If you thrive on startup chaos and 60-hour weeks, you'll find the pace too measured.
-   **Engineers who want product impact at scale.** With 170,000+ customers and a lean engineering team, individual engineers ship features that reach millions of users. If you want to see your work in production quickly and at scale, the ratio of engineers to customers is excellent.
-   **Candidates who prioritize inclusive culture.** Asana's 4.4 D&I score is backed by real programs, published data, and visible representation. If working in a genuinely [diverse](https://jobsbyculture.com/values/diverse) environment matters to you, Asana walks the talk.
-   **Bay Area residents comfortable with hybrid.** You need to be in SF three days a week. If that works for your life, great. If not, this isn't the role.
-   **People who believe in the AI pivot.** Asana's "Agentic Enterprise" bet is bold. If you're excited about embedding AI into work management and want to be part of that transformation, the timing is interesting. If you're skeptical about the strategy, the stock risk may not be worth it.

## Frequently Asked Questions About Working at Asana

How many employees does Asana have in 2026?+

Asana has approximately 1,700 employees as of 2026, down slightly from ~1,800 in 2025 following targeted restructuring. The company is publicly traded (NYSE: ASAN) with ~$790M in annual revenue and 146 open roles across engineering, product, sales, and operations.

Who is the CEO of Asana in 2026?+

Dan Rogers became CEO of Asana effective July 21, 2025, replacing co-founder Dustin Moskovitz who stepped down after 17 years to become Board Chair. Rogers previously served as CEO of LaunchDarkly and earlier held senior roles at Rubrik and ServiceNow, and is focused on the company's AI strategy, particularly the "Agentic Enterprise" initiative. Moskovitz remains involved as Board Chair and largest shareholder.

What is Asana's Glassdoor rating in 2026?+

Asana has a 4.1 out of 5.0 overall Glassdoor rating based on ~950 reviews. The standout sub-scores are Work-Life Balance at 4.2/5 and Diversity & Inclusion at 4.4/5 — both among the strongest in our [directory of 118 companies](https://jobsbyculture.com/companies). 78% of employees recommend working there. See the [full Asana culture profile](https://jobsbyculture.com/companies/asana) for the complete breakdown.

What is Asana's work-life balance like?+

Asana has a 4.2/5 work-life balance rating — one of the best among public tech companies in our directory. Key policies include No Meeting Wednesdays (protected deep work time), company-wide recharge weeks multiple times per year, and a culture that actively discourages after-hours work. The hybrid model requires 3 days/week in the SF office. For comparisons, see our [WLB rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026).

What is Asana's compensation for engineers?+

Total compensation for software engineers at Asana ranges from approximately $164K at L3 (entry-level) to $415K at L6 (staff+), based on employee-reported data. Mid-level engineers (L4) typically earn ~$241K and senior engineers (L5) ~$359K in total comp including base, RSUs, and bonus. Asana is publicly traded so equity is liquid, though ASAN stock price has been volatile.

Is Asana remote-friendly?+

No. Asana operates on a hybrid model requiring 3 days per week in their San Francisco office (typically Monday, Tuesday, and Thursday). While some individual roles may have flexibility, the default expectation is in-office. If remote work is a priority, consider companies like [GitLab](https://jobsbyculture.com/companies/gitlab) or Zapier which are fully remote.

### Explore Asana's 146 open roles

See Asana's current openings alongside culture context, Glassdoor data, and employee reviews — or compare Asana with other companies.

[View Asana Jobs →](https://jobsbyculture.com/jobs?company=asana) [Full Culture Profile →](https://jobsbyculture.com/companies/asana)

---

## Document: Baseten in 2026: $5B Valuation, ~100 Employees, Salary & Culture

# Baseten in 2026: $5B Valuation, ~100 Employees, Salary & Culture

> Working at Baseten in 2026: ~100 employees, $5B Series E valuation (talks reported for an $11B round), ML inference infrastructure, and what it

Source: https://jobsbyculture.com/blog/working-at-baseten-2026
Markdown: https://jobsbyculture.com/blog/working-at-baseten-2026.md
Last updated: 2026-07-14

---
There is a quiet, unglamorous layer of the AI stack that every foundation model, every chatbot, every image generator depends on: inference infrastructure. When a user sends a prompt to an LLM, something has to allocate the GPU, load the model weights, run the forward pass, stream the tokens back, and do it all in under a second at massive scale. That something, increasingly, is [Baseten](https://jobsbyculture.com/companies/baseten).

Founded in 2019 by Tuhin Srivastava, Baseten has become the infrastructure layer that AI companies build on. In January 2026, the company raised $300 million at a $5 billion valuation — a staggering number for a team of roughly 100 people. With $585 million in total funding from investors including IVP, CapitalG (Alphabet's investment arm), NVIDIA, Greylock Partners, and Spark Capital, Baseten is one of the most capital-efficient companies in the AI ecosystem. But what is it actually like to work there?

We pulled data from Baseten's [company profile](https://jobsbyculture.com/companies/baseten), employee reviews, and public sources to build the most detailed picture available of Baseten as an employer in 2026.

## Baseten at a Glance

Founded

2019

Headquarters

San Francisco, CA

Founder & CEO

Tuhin Srivastava

Company Size

~100 employees

Valuation

$5B (Jan 2026)

Total Funding

$585M

Glassdoor Rating

Limited data (~1 public review)

Work-Life Balance

3.5 / 5.0

Open Roles

53 positions

ATS

Greenhouse

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Many Hats](https://jobsbyculture.com/values/many-hats), [Product Impact](https://jobsbyculture.com/values/product-impact), [Flat](https://jobsbyculture.com/values/flat)

Those numbers tell a story on their own. A $5 billion valuation divided by ~100 employees works out to roughly $50 million per person — one of the highest ratios in all of tech, even though Baseten’s absolute valuation is dwarfed by giants like [Anthropic](https://jobsbyculture.com/companies/anthropic) ($965B post-money, ~5,000 employees) and [Stripe](https://jobsbyculture.com/companies/stripe) (~$91B, ~8,000 employees). Baseten is in rarefied air on a per-employee basis, and it tells you something about both the leverage of infrastructure businesses and the intensity expected from each person on the team.

$5B

Valuation (Jan 2026)

~100

Employees

$585M

Total Funding

## The Inference Thesis: Why Baseten Matters

To understand why Baseten is worth $5 billion, you need to understand the AI inference problem. Training a model gets the headlines. Inference — actually running that model in production, at scale, with low latency and high reliability — is where the real infrastructure challenge lives. Every time someone sends a message to ChatGPT, generates an image with Midjourney, or runs a voice call through an AI agent, inference infrastructure handles the heavy lifting.

Baseten's core product is an inference platform that handles GPU orchestration, model serving, autoscaling, and optimization. Their open-source framework, Truss, provides a standardized way to package and deploy ML models. Under the hood, they're solving problems that sit at the intersection of distributed systems, GPU programming, and low-level performance optimization — the kind of work that attracts engineers who care about the metal as much as the abstraction.

This is what makes Baseten's engineering challenges genuinely unique. You're not building another SaaS product. You're building the platform that other AI companies depend on to serve their models. When Baseten has a bad day, AI products across the industry feel it. That level of responsibility, combined with the technical depth required, is part of what draws engineers in — and part of what makes the work intense.

Employee Pro "Working on cutting-edge ML inference problems that directly impact how AI companies serve their models in production — you can't get this type of work anywhere else"

## What Public Signals Tell Us About Culture

Baseten has very limited public review data — at the time of writing, only a single Glassdoor review exists (5.0 stars, from a software engineer). That makes traditional rating breakdowns unreliable for Baseten today. Instead, we leaned on the engineering blog, public podcast interviews with founders and engineers, social posts from the team, and employee discussions on Hacker News to triangulate what working there actually looks like.

What comes through consistently from those sources: a small, engineering-driven team operating at the frontier of ML inference, with high ownership and a fast-shipping culture — balanced against the intensity of a 100-person company growing into a market where every week brings new model architectures, new GPU constraints, and new customer demands. If you want a relaxed 9-to-5 environment, Baseten is probably not the right fit. If you want to work on hard problems alongside a small, intense team and can handle periods of sustained effort, read on.

## What Makes Baseten's Culture Different

Most culture descriptions at this stage would talk about ping pong tables and unlimited PTO. Baseten's culture is defined by something more concrete: the compression of responsibility. At ~100 people with a $5 billion valuation, there is no room for passengers. Every engineer, every PM, every go-to-market person is carrying a disproportionate share of the company's output. This is what the [many-hats](https://jobsbyculture.com/values/many-hats) value actually means in practice — not that you're understaffed (though resources are limited), but that the surface area of your impact is unusually large.

Three things stand out about Baseten's culture from employee reviews and public signals.

### 1\. Engineering drives decisions

Baseten is an [engineering-driven](https://jobsbyculture.com/values/eng-driven) company in the truest sense. The product is infrastructure. The customers are engineers. The competitive moat is technical. This means that engineering decisions — what to optimize, what to build next, how to architect systems — are not downstream of product or sales decisions. They are the decisions. Engineers who have worked at sales-led companies will notice the difference immediately.

### 2\. Flat hierarchy, direct access

With ~100 people, there are no layers. A [flat](https://jobsbyculture.com/values/flat) structure isn't just a talking point — it's a mathematical reality when you have fewer employees than most companies have on a single floor. Engineers talk directly to the founder. Decisions happen in Slack threads and small meetings, not in multi-week approval chains. This is exhilarating for people who want agency and exhausting for people who want structure.

### 3\. Ship fast, iterate in production

Baseten's culture is oriented around [shipping quickly](https://jobsbyculture.com/values/ship-fast). In the AI inference space, the competitive landscape shifts monthly. New model architectures emerge, GPU availability fluctuates, customers need support for the latest open-source models within days of release. This creates a cadence where speed is a feature, not a compromise on quality. The team iterates rapidly, often working on optimizations that shave milliseconds off inference latency — because at scale, milliseconds are money.

## What Public Signals Suggest About Day-to-Day Work

Synthesizing the engineering blog, public talks, podcast interviews and Hacker News discussions where Baseten engineers and the founder have participated, here are the themes that come up consistently.

### What looks attractive

-   **Cutting-edge ML inference work.** The technical surface area is genuinely novel: GPU kernel optimization, distributed model serving, autoscaling for spiky inference workloads, and supporting new open-source models within days of release.
-   **High ownership from day one.** At ~100 people, individual contributors ship code that real customers depend on within weeks of starting. There is no large infrastructure team sitting between you and production.
-   **Direct product impact.** Because Baseten's customers are themselves AI companies running models in production, optimizations show up as real, measurable latency reductions across customer deployments — a tight feedback loop is part of the appeal.
-   **Equity at a fast-rising private valuation.** Baseten closed a $300M Series E at a $5B post-money valuation in January 2026, and press reports indicate the company is in talks for a follow-on round at roughly $11B. New-hire equity is expensive relative to early employees but still meaningful if the inference market continues to compound.

### What looks hard

-   **Limited resources for the scope of the market.** A ~100-person team selling into virtually every AI company means there is always more work than people to do it. Expect to wear multiple hats.
-   **Shifting priorities.** The AI inference landscape changes monthly — new model architectures, new GPU availability dynamics, new customer needs. Roadmaps are subject to reprioritization.
-   **Process is still being built.** Internal docs, engineering specs, and project management practices at this stage are often ad-hoc. Engineers who need well-defined frameworks can find this chaotic.
-   **Intensity.** Infrastructure customers depend on uptime, and the company's pace is fast. This is not a 9-to-5 environment.

The pattern, if Baseten is anything like other high-growth infrastructure companies, is technical depth, ownership, and equity upside in exchange for intensity, ambiguity, and the inevitable growing pains of scaling faster than your processes. Similar themes appeared in early reviews of [Vercel](https://jobsbyculture.com/companies/vercel) and [Databricks](https://jobsbyculture.com/companies/databricks) at comparable stages.

## Compensation & Equity

Baseten offers competitive base salaries for the AI infrastructure space, combined with equity that could be significant given the company's trajectory. At a $5 billion valuation with $585 million raised, employees are betting on continued growth — and the AI inference market gives them reason to. The total addressable market for inference is projected to dwarf training spend as AI adoption accelerates across industries.

$5B

Series E Valuation (Jan 2026)

53

Open Positions

~$50M

Valuation per Employee

The equity component is particularly interesting at Baseten's stage. Employees who join now are getting in at a $5 billion valuation — expensive relative to early employees, but potentially cheap if the company continues to grow with the AI inference market. For comparison, companies like [Databricks](https://jobsbyculture.com/companies/databricks) ($62B valuation) went through a similar trajectory, and early-to-mid-stage employees saw significant returns. The risk profile is lower than a seed-stage startup but the upside is still meaningful — a rare combination.

Benefits are competitive for a company of this size: comprehensive healthcare, remote flexibility, and the intangible benefit of working on problems that are genuinely at the frontier of the AI infrastructure stack.

## Engineering Culture & Tech Stack

Baseten's engineering culture is defined by the nature of the problem they're solving. ML inference infrastructure sits at the intersection of systems programming, GPU optimization, distributed computing, and machine learning — and the team needs to be fluent across all of these.

### Tech Stack

Python Go CUDA Kubernetes Terraform PyTorch Triton Docker

The stack reflects the company's position in the infrastructure layer. Python and PyTorch for the ML-facing interfaces. Go for high-performance backend services. CUDA and Triton for GPU-level optimization. Kubernetes and Terraform for orchestration. This is not a typical web development stack — it's a systems engineering stack, and it attracts a specific type of engineer who cares about performance at the hardware level.

### How engineering works at Baseten

-   **End-to-end ownership.** Engineers own features from design through production. There's no "infrastructure team" that handles deployments for you — you build it, you ship it, you monitor it. With ~100 people total, there's no other option, and most engineers consider this a feature.
-   **Performance is a first-class concern.** When your product is inference speed, every optimization matters. Engineers regularly work on GPU kernel optimization, batching strategies, and memory management. A 10% latency improvement at Baseten's scale affects thousands of deployments.
-   **Open source as a feedback loop.** Truss, Baseten's open-source model serving framework, serves as both a product and a community signal. Engineers contribute to and maintain open-source projects, which keeps them connected to the broader ML engineering community.
-   **Rapid iteration with real customers.** Because Baseten's customers are AI companies deploying models in production, the feedback loop is tight. You ship an optimization, customers see the impact immediately, and the metrics prove it. This [direct product impact](https://jobsbyculture.com/values/product-impact) is one of the most cited reasons employees enjoy working there.

## Baseten vs. Other AI Infrastructure Companies

Baseten operates in a competitive space. Here's how it compares to nearby companies in the AI infrastructure landscape.

### [Databricks](https://jobsbyculture.com/companies/databricks)

4.2 Glassdoor ~7,000 employees

Databricks is the mature version of what Baseten aspires to become in its domain. At $62 billion and ~7,000 employees, Databricks offers stability, defined processes, and scale. But you won't get the same ownership or speed. If Baseten is the fighter jet, Databricks is the aircraft carrier — powerful but slower to turn.

[View Databricks Profile →](https://jobsbyculture.com/companies/databricks)

### [Vercel](https://jobsbyculture.com/companies/vercel)

4.3 Glassdoor ~500 employees

Vercel shares Baseten's DNA as a developer infrastructure company that punches above its weight. Similar engineering-driven culture, similar emphasis on shipping fast. The difference is domain: Vercel is frontend infrastructure, Baseten is ML inference. Both attract engineers who want to build tools for other engineers.

[View Vercel Profile →](https://jobsbyculture.com/companies/vercel)

### [Anthropic](https://jobsbyculture.com/companies/anthropic)

4.2 Glassdoor ~1,500 employees

Anthropic is a customer of infrastructure companies like Baseten, not a competitor. But it's worth comparing as an employer: Anthropic offers higher total comp, a safety-focused mission, and more structured growth paths. Baseten offers more ownership, broader technical scope, and the potential equity upside of a smaller company. The choice depends on whether you want to build models or build the infrastructure that runs them.

[View Anthropic Profile →](https://jobsbyculture.com/companies/anthropic)

For a detailed side-by-side with any company in our database, use the [comparison tool](https://jobsbyculture.com/compare).

## Who Thrives at Baseten

Based on the culture signals, employee reviews, and the nature of the work, here's who tends to do well at Baseten — and who might want to look elsewhere.

-   **Systems engineers who care about performance.** If you get excited about GPU memory hierarchies, kernel optimization, and shaving microseconds off inference latency, Baseten is one of the few places where that's the core product, not a side project. This is infrastructure work at the most demanding level.
-   **People who want ownership over structure.** With ~100 people, there's no playbook. You'll define processes as much as follow them. If that sounds exciting, you'll love it. If it sounds stressful, you'll struggle. The [flat](https://jobsbyculture.com/values/flat) hierarchy means your voice matters, but it also means nobody's going to tell you exactly what to do.
-   **Engineers who want to understand the full stack.** At Baseten, [wearing many hats](https://jobsbyculture.com/values/many-hats) isn't just encouraged — it's inevitable. You might be debugging a Kubernetes autoscaling issue in the morning and optimizing a CUDA kernel in the afternoon. If you want to specialize narrowly, a larger company is a better fit.
-   **People comfortable with ambiguity.** The AI landscape shifts monthly. Baseten's priorities shift with it. If you need a clear 12-month roadmap, this pace will feel chaotic. If you're energized by adapting to new challenges, you'll thrive.
-   **Builders who want equity upside.** At a $5 billion valuation with a market position in the fastest-growing segment of AI infrastructure, Baseten's equity has meaningful upside potential. Employees who joined at earlier stages have already seen significant paper gains. Joining now carries more risk than a public company but more upside than a late-stage unicorn.

Baseten is _not_ ideal for people who prioritize [work-life balance](https://jobsbyculture.com/values/wlb) above all else (the 3.5 WLB score reflects real intensity), or those who want well-defined career ladders and structured mentorship programs. At ~100 people, those things are still being built. If you need them now, consider more established companies like [HubSpot](https://jobsbyculture.com/companies/hubspot) or [Notion](https://jobsbyculture.com/companies/notion).

## Open Positions at Baseten

Baseten currently has **72 open positions** across engineering, infrastructure, and go-to-market roles. For a company of ~100 people, that represents significant planned growth — Baseten is looking to potentially double its team. Given the $300 million raised in January 2026, there's no shortage of runway to fund this expansion.

If the engineering challenges, ownership, and equity story described in this post resonate with you, now is one of the best times to join. The company is large enough to have product-market fit and real revenue, but small enough that every new hire meaningfully shapes the culture and the product.

For full details on Baseten's open roles, culture values, and side-by-side comparisons with other companies, visit the [Baseten culture profile page](https://jobsbyculture.com/companies/baseten).

## Frequently Asked Questions About Working at Baseten

How many employees does Baseten have in 2026?+

Baseten has approximately 100 employees as of 2026. Despite reaching a $5 billion valuation after raising $300 million in January 2026, the company has kept its team deliberately small. This gives it one of the highest valuation-per-employee ratios in tech — roughly $50 million per person. With 72 open roles, the company is planning significant growth. See the [Baseten culture profile](https://jobsbyculture.com/companies/baseten) for current details.

What is Baseten's valuation in 2026?+

Baseten is valued at $5 billion as of January 2026, following a $300 million funding round. The company has raised $585 million in total from investors including IVP, CapitalG (Alphabet's investment arm), NVIDIA, Greylock Partners, and Spark Capital. This puts Baseten among the most valuable AI infrastructure startups in the world.

What do employees say about working at Baseten?+

Baseten has very limited public review data — only one Glassdoor review at the time of writing, rated 5.0 stars by a software engineer. We don’t treat that as statistically meaningful. Instead, public signals from the engineering blog, podcast interviews with the team, and Hacker News discussions consistently describe an engineering-driven, ship-fast, high-ownership culture — balanced against the intensity of a ~100-person team scaling into a fast-moving market.

What does Baseten actually do?+

Baseten builds ML inference infrastructure — the platform that AI companies use to deploy and run machine learning models in production. Their core product handles GPU orchestration, model serving, autoscaling, and optimization. Their open-source framework, Truss, provides a standardized way to package and deploy ML models. When you interact with AI products, there's a good chance Baseten's infrastructure is running the inference behind the scenes.

What is Baseten's engineering culture like?+

Baseten's engineering culture is defined by high ownership, fast iteration, and deep technical challenges. Engineers work directly on GPU infrastructure, model serving optimization, and distributed systems. With ~100 people and a [flat hierarchy](https://jobsbyculture.com/values/flat), there are no layers between individual contributors and the product. The team [ships fast](https://jobsbyculture.com/values/ship-fast) and iterates in production, with a strong emphasis on performance optimization. Reviews highlight that you ship code impacting real customers from your first week.

Is Baseten remote-friendly?+

Yes. Baseten is headquartered in San Francisco but operates with a remote-first approach. A significant portion of their 72 open roles are listed as remote. Employees describe the distributed culture as effective, with strong asynchronous communication practices. The company hires across multiple locations.

How does Baseten compare to other AI infrastructure companies?+

Baseten competes in the AI infrastructure space alongside companies like Replicate, Modal, and Anyscale. What distinguishes Baseten is its singular focus on inference (running models in production, not training), its open-source Truss framework, and its position as the infrastructure layer for other AI companies. At $5B with ~100 employees, it has one of the highest valuation-per-employee ratios in the industry. Use our [comparison tool](https://jobsbyculture.com/compare) for a detailed side-by-side with any company in our directory.

### Explore Baseten's 72 open roles

See all of Baseten's current positions alongside roles from companies like Anthropic, Databricks, Vercel, and more — all with culture context.

[View Baseten Jobs →](https://jobsbyculture.com/jobs?company=baseten) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Brex in 2026: ~1,100 Employees, Layoffs, Salary & Culture

# Brex in 2026: ~1,100 Employees, Layoffs, Salary & Culture

> Working at Brex in 2026: ~1,100 employees, two rounds of layoffs, 4.0 Glassdoor rating, $223k-$720k engineer comp, and what the AI-first pivot means for the culture inside.

Source: https://jobsbyculture.com/blog/working-at-brex-2026
Markdown: https://jobsbyculture.com/blog/working-at-brex-2026.md
Last updated: 2026-07-14

---
[Brex](https://jobsbyculture.com/companies/brex) is one of the most closely watched fintechs in Silicon Valley. Founded in 2017 by Brazilian duo Henrique Dubugras and Pedro Franceschi — who were just 22 at the time — Brex built the first corporate card designed specifically for startups, and quickly became the default spend management platform for YC-backed companies and high-growth tech firms. Valued at $12.3 billion at its peak, Brex sits at the intersection of fintech, enterprise software, and increasingly, AI.

But the story since 2022 has been turbulent. Two rounds of layoffs, a pivot away from SMBs toward enterprise, and an aggressive bet on AI-powered financial tools have reshaped both the product and the culture. We pulled data from Brex's [company profile](https://jobsbyculture.com/companies/brex), employee reviews, and engineering blog to give you an honest picture of Brex as an employer in 2026.

## Brex at a Glance

Founded

2017

Headquarters

San Francisco, CA

Founders

Henrique Dubugras & Pedro Franceschi

Company Size

~1,100 employees

Valuation

~$12.3B (peak)

Glassdoor Rating

4.0 / 5.0 (590 reviews)

Work-Life Balance

3.9 / 5.0

Recommend to Friend

75%

Open Positions

253

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Equity](https://jobsbyculture.com/values/equity), [Learning](https://jobsbyculture.com/values/learning), [Product Impact](https://jobsbyculture.com/values/product-impact)

Brex is a company in transition. The startup energy that defined its first five years — move fast, break into new markets, grow at all costs — has given way to a more disciplined, AI-first strategy. The culture today reflects that tension: still fast-moving and ambitious, but shaped by the reality of layoffs, a return-to-office mandate, and the pressure to prove the AI bet works. Among the [118 companies in our Culture Directory](https://jobsbyculture.com/companies), Brex occupies an unusual position: a young company with the scars of a much older one, but with the technical ambition and compensation to match the best in fintech.

## What Makes Brex's Culture Different

Three things define the culture at Brex in 2026: the founders, the AI pivot, and the memo culture.

Henrique and Pedro are unusual founders. They built a payments company in Brazil as teenagers, moved to Stanford, dropped out, and built Brex in their early twenties. They're still deeply involved in the company's technical direction, and their fingerprints are on the culture: meritocratic, high-bar, and obsessed with building a company where every employee thinks like an owner. The internal mantra is "Be the founder of your career" — and multiple reviewers cite this as both a strength (real ownership, real impact) and a challenge (sink-or-swim onboarding, high expectations from day one).

The AI pivot has been the defining story of 2025–26. Brex went further than most companies in embracing AI fluency as a core competency: every engineer, including managers, went through an AI-native interview process — not to fire anyone, but to establish a baseline of AI literacy across the org. The company is building AI-powered spend management tools that automate receipt matching, expense categorization, and policy enforcement. For engineers, this means the product work is increasingly ML-heavy, and the bar for AI fluency is real.

The third pillar is written communication. Brex runs on memos — a deliberate choice that mirrors companies like [Stripe](https://jobsbyculture.com/companies/stripe) and Amazon. Decisions are documented, context is shared broadly, and the default is async-first with regular alignment forums. This is a company that rewards clarity in writing over charisma in meetings.

Employee Pro "Great team + leadership, good focus on doing really great work, interesting technical problems, big customer focus"

## The Layoffs: What Happened and Where Things Stand

You can't write about Brex in 2026 without addressing the layoffs. There have been two significant rounds:

-   **October 2022:** 11% of staff (136 people) cut as part of a broader restructuring that included exiting the SMB market to focus on enterprise.
-   **January 2024:** 20% of staff (282 people) cut to accelerate the path to profitability. Reports at the time suggested Brex was burning $17 million per month with limited runway — though the company disputed those figures.

The layoffs left real marks on the culture. Multiple Glassdoor reviews reference them directly, with "2x layoffs in the last 3 years" appearing as a recurring con. But the company has since stabilized: Brex currently has hundreds of open positions, spanning engineering, sales, product, and operations. The hiring signals suggest the worst is behind them — but the recent history is still felt, and anyone evaluating an offer should ask about financial health and runway during the interview process.

## Glassdoor Ratings Breakdown

Brex's overall Glassdoor rating of 4.0 out of 5.0, based on 590 employee reviews, puts it on par with companies like [Stripe](https://jobsbyculture.com/companies/stripe) and [Figma](https://jobsbyculture.com/companies/figma). But the interesting story is in the sub-scores — and in the gap between how engineers rate the company versus everyone else.

Compensation & Benefits 4.2

Culture & Values 4.1

Overall Rating 4.0

Career Opportunities 3.9

Work-Life Balance 3.9

The standout number is engineer-specific: software engineers rate Brex 4.3/5 overall, with a remarkable 4.8/5 for compensation. That's one of the highest engineer comp ratings we've seen across our entire [directory](https://jobsbyculture.com/companies). The 93% engineer recommendation rate (versus 75% company-wide) tells a clear story: Brex is an exceptional place to be an engineer, with more mixed signals for other functions.

Work-life balance at 3.9 is respectable — better than [Stripe](https://jobsbyculture.com/companies/stripe) (3.6) and [Snowflake](https://jobsbyculture.com/companies/snowflake) (3.3), though below top performers like [HubSpot](https://jobsbyculture.com/companies/hubspot) (4.1) and [Notion](https://jobsbyculture.com/companies/notion) (4.2).

## What Employees Actually Say

We analyzed recurring themes across Brex's 590 Glassdoor reviews. The picture that emerges is a company with genuinely strong fundamentals — but one that carries the weight of its recent history.

### What employees love

Employee Pro "Top 90% competitive pay in the industry — compensation is genuinely best-in-class for fintech"

Employee Pro "Great pay, great team, textbook startup vibes — customers love the product"

Employee Pro "Tremendous career growth and opportunity at Brex — real ownership and impact"

Employee Pro "Cross-functional, low-ego culture — no silos, no egos, just great collaboration"

The comp is the clearest signal: Brex pays at the top of fintech, and engineers know it. Beyond money, the consistent themes are the quality of colleagues, the founder energy that persists despite the company's growth, and the genuine product-market fit — Brex's enterprise customers genuinely love the product, and that translates to meaningful [product impact](https://jobsbyculture.com/values/product-impact) for the people building it.

### What could be better

Employee Con "Two rounds of layoffs in 18 months — creates anxiety about stability"

Employee Con "Lack of work-life balance in some teams, burnout is common"

Employee Con "Poor management in some areas — rapid growth left gaps in middle management"

Employee Con "Return-to-office mandate feels like a step backward for a company that was remote-first"

The layoff anxiety is the most common theme in recent negative reviews. The January 2024 cut was particularly painful because it came after the company had already restructured once. Some reviewers describe a culture of uncertainty that took months to dissipate. The return-to-office shift (3 days per week starting February 2026) also drew criticism, especially from employees who joined during the remote-first era and now face relocation pressure.

## Compensation & Benefits

Brex's compensation is, by the numbers, exceptional — particularly for engineers. The 4.2 Glassdoor rating for Compensation & Benefits reflects a company that competes directly with [Stripe](https://jobsbyculture.com/companies/stripe), [Ramp](https://jobsbyculture.com/companies/ramp), and even AI labs for engineering talent.

$335k

Median Engineer Comp (US)

4.8 / 5

Engineer Comp Rating

93%

Engineers Recommend

Employee-reported total compensation for software engineers ranges from roughly $223K at L1 to $720K+ at L6, with a US median around $335K. In the San Francisco Bay Area, the median climbs to about $460K. Staff-level engineers report median packages in the $525K range. These numbers put Brex in the top tier of fintech compensation — ahead of most traditional finance companies and competitive with frontier AI labs at the senior levels.

Beyond base and equity, Brex offers comprehensive benefits including generous parental leave, learning stipends, and strong healthcare coverage. The equity component is meaningful given the company's $12.3B valuation, though the private-market liquidity question (when can you actually sell your shares?) is a factor that candidates should ask about.

## Engineering Culture & Tech Stack

Brex's engineering organization has undergone a significant transformation. The original backend was built in Elixir — chosen for its concurrency model and fault tolerance, ideal for processing high volumes of financial transactions. But as the company scaled, they migrated to Kotlin — a pragmatic move that traded Elixir's elegance for the JVM ecosystem's maturity, tooling, and hiring pool.

### Tech Stack

Kotlin TypeScript React PostgreSQL Kubernetes AWS Kafka gRPC

The current stack centers on Kotlin for backend services, TypeScript and React for frontend, with PostgreSQL, ArangoDB, and Snowflake for data. Infrastructure runs on Kubernetes and AWS, with Kafka for event streaming, gRPC for service communication, and Bazel for build tooling. It's a modern, well-architected stack that reflects serious engineering investment.

### How engineering works at Brex

-   **AI-first development.** Every engineer is expected to be AI-fluent. The company rolled out an AI-native technical assessment that all engineers — including managers — went through. AI tools are embedded in the development workflow, and new features increasingly involve ML components.
-   **Memo-driven decisions.** Major technical decisions start with written memos that are shared broadly. This mirrors the [Stripe](https://jobsbyculture.com/companies/stripe) approach and ensures context is preserved and decisions are well-reasoned.
-   **"One Brex" culture.** Cross-functional collaboration is a core value. Product, engineering, design, sales, and ops work in integrated teams rather than functional silos. The "no silos, no egos" mantra is frequently cited in reviews.
-   **Founder-level ownership.** Engineers are expected to own their domains end-to-end. The "Be the founder of your career" ethos means real autonomy paired with real accountability.

The Elixir-to-Kotlin migration is a fascinating case study in pragmatic engineering. Brex chose Elixir early on for its fault-tolerance and concurrency — perfect for a financial transactions platform. But as the team grew, Kotlin's stronger type system, broader talent pool, and JVM ecosystem made it the more sustainable choice. It's the kind of migration that signals engineering maturity: choosing the right tool for the current scale, not just the one that's intellectually interesting.

## The Return-to-Office Shift

Starting February 2026, Brex implemented a mandatory 3-day in-office policy (Monday, Wednesday, Thursday), with 90%+ of new hiring concentrated in San Francisco and New York. This is a significant reversal from the remote-first posture the company adopted during 2020–2022, and it's one of the most discussed topics in recent reviews.

The rationale, per leadership, is that the company's AI-first strategy and [ship-fast](https://jobsbyculture.com/values/ship-fast) culture benefit from in-person collaboration. But the move has drawn pushback from employees who relocated during the remote era or who joined specifically because of the distributed culture. If remote work is a priority for you, Brex is no longer the right fit — consider [GitLab](https://jobsbyculture.com/companies/gitlab), [Notion](https://jobsbyculture.com/companies/notion), or [PostHog](https://jobsbyculture.com/companies/posthog) instead.

## Who Thrives at Brex

Brex is not for everyone — and the company's own culture deliberately filters for a specific type of person. Based on the data and employee reviews, here's who tends to do well:

-   **AI-curious engineers.** If you're excited about integrating AI into every part of a product, Brex is building one of the most ambitious AI-powered fintech platforms in the industry. The AI bar is real and rising.
-   **Ownership-oriented builders.** The "founder of your career" ethos means you'll have real autonomy and [product impact](https://jobsbyculture.com/values/product-impact) — but also real accountability. If you need structured onboarding and hand-holding, this isn't the place.
-   **People who thrive in post-adversity cultures.** Companies that survive layoffs and emerge stronger often develop a unique resilience. The current team at Brex is self-selected for people who chose to stay (or join) despite the turbulence. That creates a tight-knit, high-conviction culture.
-   **Fintech enthusiasts.** Brex's enterprise customers genuinely love the product. If you care about building financial tools that people actually use, the customer signal here is strong.
-   **Strong writers.** The memo culture rewards clear, structured thinking. If you communicate better in writing than in meetings, you'll feel at home.

Brex is _not_ ideal for people who want maximum stability and predictability, for remote-first workers (given the new office mandate), or for those who prefer slow, methodical environments. The pace is fast, the expectations are high, and the recent history means the culture carries some anxiety alongside its ambition. If stability is your top priority, consider [HubSpot](https://jobsbyculture.com/companies/hubspot) or [Datadog](https://jobsbyculture.com/companies/datadog) instead.

## Open Positions at Brex

Brex currently has **266 open positions** listed on our platform, with engineering (62 roles), sales (81), product (20), and operations (16) as the largest hiring areas. Positions are concentrated in San Francisco (74), New York (63), Seattle (49), and Vancouver (37). The active hiring — especially in engineering and product — signals that the post-layoff stabilization is real and the company is investing in growth again.

For full details on Brex's open roles, culture values, and side-by-side comparisons with other companies, visit the [Brex culture profile page](https://jobsbyculture.com/companies/brex).

## Frequently Asked Questions About Working at Brex

How many employees does Brex have in 2026?+

Brex has approximately 1,100 employees as of 2026. The company peaked at around 1,400+ before cutting 20% of staff in January 2024. They have since stabilized and are actively hiring with 266 open roles across engineering, sales, product, and operations. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

Did Brex have layoffs recently?+

Yes. Brex has had two rounds of layoffs: 11% of staff (136 people) in October 2022, and 20% (282 people) in January 2024. The 2024 cut was designed to accelerate the path to profitability. As of 2026, the company has stabilized and is actively hiring with 266 open positions, suggesting the restructuring phase is complete.

What is Brex's Glassdoor rating in 2026?+

Brex has a 4.0 out of 5.0 overall Glassdoor rating based on 590 reviews. Software engineers rate it higher at 4.3/5, with compensation earning a remarkable 4.8/5 from engineers. 75% of all employees recommend working there, rising to 93% among engineers. See our [full Brex culture profile](https://jobsbyculture.com/companies/brex) for the complete breakdown.

What is Brex's compensation for engineers?+

Employee-reported total compensation for software engineers at Brex ranges from roughly $223K (L1) to $720K+ (L6), with a US median around $335K. In the San Francisco Bay Area, median comp is about $460K. Staff-level engineers report median packages in the $525K range. The comp is competitive with top fintech companies like [Stripe](https://jobsbyculture.com/companies/stripe) and [Ramp](https://jobsbyculture.com/companies/ramp), and even approaches AI lab levels at senior positions.

What is Brex's tech stack?+

Brex's engineering stack centers on Kotlin (migrated from Elixir), TypeScript, React, PostgreSQL, Kubernetes, and AWS. The company also uses gRPC, Kafka for event streaming, ArangoDB, Snowflake for analytics, and Bazel for build tooling. AI/ML is increasingly central to the product, with AI-powered spend management being a major engineering focus area.

Is Brex remote-friendly in 2026?+

No. Starting February 2026, Brex shifted to a mandatory 3-day in-office policy (Monday, Wednesday, Thursday), with 90%+ of new hiring in San Francisco and New York. The company was previously remote-friendly but now requires hub-based work for most roles. If remote work is a priority, consider [GitLab](https://jobsbyculture.com/companies/gitlab) or [PostHog](https://jobsbyculture.com/companies/posthog) instead.

### Browse Brex's 266 open roles

See Brex jobs alongside roles from Stripe, Ramp, Anthropic, and more — all with culture context.

[View Brex Jobs →](https://jobsbyculture.com/companies/brex) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Celonis in 2026: 3,800 Employees, $13B Valuation, Salary & Culture

# Celonis in 2026: 3,800 Employees, $13B Valuation, Salary & Culture

> Working at Celonis in 2026: 3,800 employees, $13B valuation, 3.8 Glassdoor rating, process mining leader, and what the Munich-born engineering culture is really like inside the company.

Source: https://jobsbyculture.com/blog/working-at-celonis-2026
Markdown: https://jobsbyculture.com/blog/working-at-celonis-2026.md
Last updated: 2026-07-14

---
[Celonis](https://jobsbyculture.com/companies/celonis) is the kind of company that confuses most engineers when they first encounter it. Process mining? What even is that? But behind the unglamorous name sits a genuinely important business: Celonis takes the raw event logs from enterprise systems — SAP, Salesforce, ServiceNow, Oracle — and builds a real-time digital twin of how a company’s operations actually work. Not how someone drew it on a whiteboard. How it actually runs, with all the bottlenecks, workarounds, and inefficiencies laid bare.

Founded in 2011 by three Technical University of Munich students — Bastian Nominacher, Alexander Rinke, and Martin Klenk — Celonis essentially created the process mining category. They were named a Leader in the 2026 Gartner Magic Quadrant for Process Intelligence, positioned highest on both axes. The company is valued at $13 billion, employs roughly 3,800 people, and has 210 open roles on our platform. It is, by any measure, a quietly massive operation.

But the employee experience at Celonis is more complicated than the Gartner accolades suggest. A 3.8 Glassdoor rating, repeated restructurings, and compensation that trails market rates paint a picture of a company caught between its Munich startup roots and the demands of being an enterprise giant. Here’s what you need to know.

## Celonis at a Glance

Founded

2011

Headquarters

Munich, Germany & New York, NY

Founders

Bastian Nominacher, Alexander Rinke, Martin Klenk

Company Size

~3,800 employees

Engineering Team

500+ in product & engineering

Valuation

~$13B

Glassdoor Rating

3.8 / 5.0 (850+ reviews)

Work-Life Balance

3.8 / 5.0

Recommend to Friend

74%

Culture Values

[Learning](https://jobsbyculture.com/values/learning), [Equity](https://jobsbyculture.com/values/equity), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Product Impact](https://jobsbyculture.com/values/product-impact)

## The Company Most Engineers Overlook

If you work in AI or developer tools, Celonis probably isn’t on your radar. It doesn’t build chatbots or foundation models. It doesn’t have a flashy consumer product. But it sits at a critical intersection that almost every Fortune 500 company cares about deeply: operational efficiency. Celonis’s platform ingests billions of event records from enterprise systems and uses process mining algorithms to reconstruct exactly how procurement, order-to-cash, accounts payable, and hundreds of other business processes actually execute.

Think of it this way: every time someone creates a purchase order in SAP, approves an invoice, escalates a support ticket, or closes a deal in Salesforce, that action generates an event log. Celonis aggregates millions of these events and reconstructs the actual process flow — revealing that the “3-day approval process” actually takes 11 days because of a manual handoff nobody documented. The platform then uses ML to recommend and automate fixes.

This is not glamorous work. But it’s deeply technical, and the scale is enormous. Celonis processes petabytes of operational data for companies like Siemens, ABB, Uber, and L’Oréal. The engineering challenges — real-time streaming analytics over billions of events, graph-based process discovery algorithms, ML-powered conformance checking — are genuinely interesting if you care about distributed systems and data infrastructure.

Employee Pro “The product is genuinely category-defining. You’re building something that didn’t exist before, and the technical problems are real.”

## Glassdoor Ratings Breakdown

Celonis’s 3.8 overall rating positions it in the lower-middle tier of the [118 companies in our directory](https://jobsbyculture.com/companies). For context, that’s the same as [Samsara](https://jobsbyculture.com/companies/samsara) and below companies like [HubSpot](https://jobsbyculture.com/companies/hubspot) (4.2) and [Databricks](https://jobsbyculture.com/companies/databricks) (4.0). But the sub-scores tell a more nuanced story.

Culture & Values 3.8

Overall Rating 3.8

Work-Life Balance 3.8

Career Opportunities 3.5

The most notable thing here is the gap between Culture & Values (3.8) and Career Opportunities (3.5). Employees genuinely like their colleagues and the mission — the human fabric of the company is strong. But advancement paths are murky, particularly after repeated restructurings that shuffled reporting lines and eliminated entire teams. The 3.5 Career Opportunities score is a warning sign for anyone planning to grow into leadership at Celonis: the runway exists, but it’s not well-marked.

## What Employees Actually Say

We analyzed recurring themes across hundreds of employee reviews. The picture that emerges is a company with genuine strengths being undermined by organizational instability.

### What employees love

Employee Pro “Best people I’ve ever worked with. The team culture is genuinely collaborative, not just lip service.”

Employee Pro “Incredible learning opportunities and internal mobility. I moved from customer success to product management.”

Employee Pro “Munich headquarters is beautiful. Great work environment, flexible hours, German labor protections.”

The team culture theme is remarkably consistent. Across hundreds of reviews, the quality of colleagues is the single most cited positive. Celonis attracts smart, driven people who genuinely enjoy working together. The [learning culture](https://jobsbyculture.com/values/learning) is also real — multiple employees specifically praise internal mobility programs that let them switch roles without leaving the company. For early-career engineers, this is a meaningful differentiator: you can explore product, data science, and platform engineering without starting over somewhere else.

### What could be better

Employee Con “Compensation is significantly below market for a $13B company. Base and equity both trail competitors.”

Employee Con “Constant reorganizations. My team was restructured twice in three months. No explanation from leadership.”

Employee Con “Work-life balance depends entirely on your manager. Some teams work 40 hours, others expect 60+.”

Employee Con “New leadership hires from Google are changing the culture, and not always for the better.”

The restructuring theme is the dominant concern. Celonis has gone through multiple rounds of organizational changes in 2024–2025, with reports of the CVG (Customer Value Group) being restructured twice within three months. In early 2026, QA roles were eliminated globally regardless of tenure. These changes aren’t the massive single-day layoffs you see at other tech companies — they’re gradual, rolling restructurings that create persistent uncertainty. Several reviews note that the communication around these changes has been poor, eroding the trust that the strong team culture has built.

The compensation issue is equally persistent. For a company valued at $13 billion, Celonis pays below what engineers can get at comparably-sized companies. This matters more in the US offices than in Munich, where the cost of living is lower and German benefits (30 vacation days, strong healthcare, labor protections) offset the base pay gap. But for US-based engineers comparing offers against [Databricks](https://jobsbyculture.com/companies/databricks) or [Snowflake](https://jobsbyculture.com/companies/snowflake), Celonis consistently comes up short.

## Compensation & Benefits

This is the area where Celonis gets the most criticism. Based on employee-reported compensation data, here’s what engineers can expect:

$115k

Mid-Level Engineer Base

$155k

Senior Engineer Base

$250k+

Senior Total Comp (Top End)

Total compensation for software engineers at Celonis typically ranges from $115k–$155k for mid-level roles and $155k–$250k+ for senior engineers, including base, bonus, and equity. These numbers include Celonis’s performance bonus (typically 10–15% of base) and stock options. The equity component is worth noting: as a private company valued at $13B, the options carry both upside potential and liquidity risk. There’s no public market to sell into until an IPO or secondary event.

For context, a senior software engineer at [Databricks](https://jobsbyculture.com/companies/databricks) ($300k–$500k total comp) or [Stripe](https://jobsbyculture.com/companies/stripe) ($280k–$400k) earns significantly more. Even among European-headquartered companies, Celonis’s US compensation isn’t competitive with peers of its scale. The saving grace is Munich-based roles, where €80k–€120k base is strong for the German market, especially combined with Munich’s quality of life, 30 vacation days, and employer-provided pension contributions.

Benefits include flexible PTO, a learning and development budget, hybrid work arrangements, and standard tech perks. Named a BuiltIn Best Places to Work in 2025, Celonis invests in employee experience — the offices are well-designed, and the Munich headquarters in Maxvorstadt is consistently praised. But the core compensation issue remains a retention risk, particularly for senior engineers with competing offers.

## Engineering Culture & Tech Stack

Celonis’s engineering team of 500+ is primarily headquartered in Munich, with the city serving as the R&D center of gravity. The engineering challenges are rooted in processing massive volumes of event data in real time and running computationally expensive graph algorithms to reconstruct process flows.

### Core Technologies

Java Kotlin Python Spark Kubernetes React TypeScript PostgreSQL

The platform backend is primarily Java and Kotlin, with Python for ML workloads and data science. The data processing pipeline leverages Apache Spark for large-scale event log analysis, and the infrastructure runs on Kubernetes. The frontend is React/TypeScript, building the visualization layer that renders complex process maps into something a VP of Operations can actually understand and act on.

### What makes the engineering interesting

-   **Process graph algorithms.** The core of Celonis is reconstructing process flows from raw event data. This involves variant analysis (how many different ways does a process actually execute?), conformance checking (how far does reality deviate from the designed process?), and bottleneck detection. These are graph theory problems at massive scale.
-   **Real-time streaming at petabyte scale.** Enterprise customers generate billions of events. The platform must ingest, process, and surface insights in near real-time. This is serious distributed systems work.
-   **ML-powered automation.** Beyond visualization, Celonis increasingly uses machine learning to predict process outcomes and trigger automated interventions — think auto-routing invoices to skip unnecessary approval steps or flagging procurement anomalies before they become problems.
-   **[Direct product impact](https://jobsbyculture.com/values/product-impact).** With 500+ engineers and a focused product surface, individual engineers have real influence on what ships. You’re not a cog in a 10,000-person machine — your design decisions affect the core product that Fortune 500 companies rely on daily.

The Munich-centric engineering culture carries some of the precision and rigor associated with German engineering traditions. Code review standards are high, architecture decisions are well-documented, and there’s a genuine respect for craft. Several reviews from engineers note that the technical bar in Munich is strong, even if the organizational chaos around them is frustrating.

## The Restructuring Problem

No honest assessment of Celonis can skip this topic. The company has undergone repeated organizational restructurings in 2024–2026, and the impact on employee experience has been significant. Unlike the sudden, dramatic layoffs at companies like [Stripe](https://jobsbyculture.com/blog/stripe-layoffs-2026) (14% in one day) or [OpenAI](https://jobsbyculture.com/blog/openai-layoffs-2026), Celonis’s workforce changes have been gradual and rolling — which in some ways makes them harder to process. There’s no single event to point to, no CEO letter of accountability. Just a slow drip of team changes, role eliminations, and reporting-line shuffles that keeps people on edge.

The CVG restructuring in late 2024 hit particularly hard, with reports of teams being reorganized twice in three months. In 2026, global QA roles were eliminated. Employee reviews consistently cite poor communication from leadership about these changes as the root of frustration. It’s not that the restructurings themselves are unreasonable — growing companies reorganize — but the lack of transparency about the rationale and timeline erodes the trust that Celonis’s strong team culture has built.

If you’re evaluating a Celonis offer, ask your future manager directly: how has this team been affected by recent restructurings? What’s the plan for the next 12 months? The answer will tell you a lot about whether you’re joining a stable team or one that might be shuffled again.

## Who Thrives at Celonis

Celonis is a specific fit. Based on the culture signals, employee reviews, and the nature of the work, here’s who tends to do well:

-   **Engineers who care about enterprise impact.** If you want to see your code running inside Siemens or Uber’s operations team — not just serving API requests — Celonis offers a rare kind of [product impact](https://jobsbyculture.com/values/product-impact). Your work directly changes how billion-dollar companies operate.
-   **People who value colleagues over cachet.** Celonis won’t impress your friends at a dinner party the way “I work at OpenAI” would. But the quality of the people, the team culture, and the collaborative environment are consistently rated among the best. If you optimize for who you work with rather than brand recognition, this matters.
-   **Career explorers in their first 5 years.** The [learning culture](https://jobsbyculture.com/values/learning) and internal mobility make Celonis an excellent place to figure out what you want to specialize in. Engineers move into product, data science, and customer-facing roles regularly. The lower compensation is easier to accept when you’re investing in breadth.
-   **Europeans who want to stay in Europe.** Celonis is one of the few $10B+ tech companies headquartered in Europe. For engineers who want competitive (by European standards) compensation without relocating to the US, Celonis is one of the strongest options alongside [Helsing](https://jobsbyculture.com/companies/helsing), [Mistral](https://jobsbyculture.com/companies/mistral), and [Synthesia](https://jobsbyculture.com/companies/synthesia).

Celonis is _not_ ideal for engineers who prioritize top-of-market compensation (look at [Anthropic](https://jobsbyculture.com/companies/anthropic) or [Databricks](https://jobsbyculture.com/companies/databricks) instead), who need organizational stability above all else, or who want to work on consumer-facing products with immediate user feedback loops. The enterprise sales cycle means that the connection between your code and user impact is real but indirect — measured in operational efficiency gains, not daily active users.

## Open Positions at Celonis

Celonis currently has **210 open positions** listed on our platform, spanning engineering, data science, product management, and go-to-market roles across Munich, New York, Madrid, and other global offices. The engineering roles are primarily based in Munich, reflecting the company’s commitment to its German R&D headquarters.

For full details on Celonis’s open roles, culture values, and side-by-side comparisons with other companies, visit the [Celonis culture profile page](https://jobsbyculture.com/companies/celonis).

## Frequently Asked Questions About Working at Celonis

How many employees does Celonis have in 2026?+

Celonis has approximately 3,800 employees as of 2026, with over 500 in product and engineering. The company has offices in Munich (headquarters), New York, Madrid, and other global locations. Munich serves as the primary engineering hub, anchoring the company’s R&D operations and core technology innovation. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Celonis’s Glassdoor rating in 2026?+

Celonis has a 3.8 out of 5.0 overall Glassdoor rating based on ~867 reviews. Culture & Values scores 3.8, Work-Life Balance 3.8, and Career Opportunities 3.5. 74% of employees recommend working there. The ratings reflect a company with strong team culture but ongoing concerns about compensation and organizational stability. See our [full Celonis culture profile](https://jobsbyculture.com/companies/celonis) for the complete breakdown.

What is process mining and what does Celonis do?+

Process mining uses event log data from enterprise systems (SAP, Salesforce, ServiceNow) to create a digital twin of how business processes actually run — not how they’re designed to run. Celonis is the undisputed market leader, named a Leader in the 2026 Gartner Magic Quadrant for Process Intelligence with the highest position on both the Ability to Execute and Completeness of Vision axes. The platform serves Fortune 500 companies including Siemens, ABB, and Uber.

What is Celonis’s compensation like for engineers?+

Software engineer total compensation at Celonis typically ranges from $115k to $155k for mid-level roles and $155k to $250k+ for senior engineers in the US, including base, bonus, and stock options. Compensation is consistently cited as below market compared to US-based tech companies of similar size. Munich-based roles offer €80k–€120k base, which is competitive for the German market. See our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) for comparisons.

Did Celonis have layoffs in 2025 or 2026?+

Celonis has gone through multiple restructuring rounds in 2024–2025, particularly in its Customer Value Group division. In 2026, QA roles were eliminated globally. The company has avoided massive single-day layoffs, instead opting for gradual restructuring. Employee reviews consistently cite poor communication around these changes as a major concern.

Is Celonis remote-friendly?+

Celonis operates a hybrid work model, blending remote flexibility with in-office collaboration. Most engineering roles are centered in Munich, with the company encouraging regular office presence. It is not a remote-first company. If remote work is your top priority, consider companies like [PostHog](https://jobsbyculture.com/companies/posthog), [GitLab](https://jobsbyculture.com/companies/gitlab), or [Zapier](https://jobsbyculture.com/companies/zapier) from our [remote-friendly directory](https://jobsbyculture.com/values/remote).

What is Celonis’s engineering culture like?+

Celonis has a product-focused engineering culture with 500+ engineers, primarily in Munich. The team works on distributed data processing at petabyte scale, real-time process analytics, and ML-powered automation. The culture emphasizes [learning](https://jobsbyculture.com/values/learning) and internal mobility, with strong mentorship from leadership. The tech stack includes Java, Kotlin, Python, Spark, and Kubernetes. Frequent reorganizations can disrupt team continuity, but the technical challenges are genuinely interesting.

### Browse Celonis’s 210 open roles

See open positions at Celonis alongside jobs from 118 companies — all with culture context, employee reviews, and side-by-side comparisons.

[View Celonis Jobs →](https://jobsbyculture.com/companies/celonis) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Cerebras Systems in 2026: IPO, Culture, Salary & Engineering

# Working at Cerebras Systems in 2026: IPO, Culture, Salary & Engineering

> Working at Cerebras Systems in 2026: now public on Nasdaq (CBRS) at a ~$56B fully diluted valuation, ~700 employees, 4.1 Glassdoor rating, wafer-scale AI chips, $164k+ eng base, and what it

Source: https://jobsbyculture.com/blog/working-at-cerebras-2026
Markdown: https://jobsbyculture.com/blog/working-at-cerebras-2026.md
Last updated: 2026-07-14

---
[Cerebras Systems](https://jobsbyculture.com/companies/cerebras) is not a typical AI company. While most of the industry trains and deploys models on clusters of NVIDIA GPUs, Cerebras took a radically different approach: build the largest chip ever made. A single processor the size of an entire silicon wafer — 46,225 square millimeters of compute containing 4 trillion transistors. It’s an engineering bet so audacious that most semiconductor veterans called it impossible when the company was founded in 2015.

On May 14, 2026, that bet went public. Cerebras began trading on the Nasdaq under the ticker CBRS after pricing its IPO at $185 per share, raising $5.55 billion in the largest U.S. tech IPO since Uber, and reaching a fully diluted valuation of roughly $56 billion at the IPO price. After a first-day pop of 68%, the company traded into the $86–106 billion fully diluted range. Cerebras reported $510 million in 2025 revenue, up 76% year over year. GAAP net income of $237.8 million includes a $363 million one-time gain from restructuring its G42 commercial agreement — absent that, the underlying business ran a non-GAAP operating loss for the year. Still, revenue growth at that scale from a custom-silicon company is rare.

But behind the IPO headlines, what is it actually like to work there? We analyzed 57 employee reviews, compensation data, and the company’s engineering culture to give you an honest picture of Cerebras as an employer — the good, the hard, and the trade-offs you should weigh before applying.

## Cerebras at a Glance

Founded

2015

Headquarters

Sunnyvale, CA

CEO

Andrew Feldman

Company Size

~700 employees

Valuation

~$56B at IPO price / $86–106B post-pop

Revenue

$510M (76% growth YoY)

Glassdoor Rating

4.1 / 5.0 (57 reviews)

Work-Life Balance

3.8 / 5.0

CEO

Andrew Feldman

Recommend to Friend

90%

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Learning](https://jobsbyculture.com/values/learning), [Product Impact](https://jobsbyculture.com/values/product-impact)

Cerebras sits in a unique position in our [Culture Directory](https://jobsbyculture.com/companies). It’s one of only a handful of companies building custom silicon for AI — alongside [Tenstorrent](https://jobsbyculture.com/companies/tenstorrent) and a few stealth startups. At ~700 employees, it’s large enough to have real organizational structure but small enough that individual engineers still shape the product. The 4.1 Glassdoor rating places it in line with companies like [Stripe](https://jobsbyculture.com/companies/stripe) and [OpenAI](https://jobsbyculture.com/companies/openai), but with a very different work profile.

## The Wafer-Scale Bet: Why Cerebras Exists

To understand the culture, you need to understand the product. Every semiconductor company in the world cuts silicon wafers into hundreds of individual chips. Cerebras doesn’t. They use the entire wafer as a single processor.

The latest WSE-3 (Wafer Scale Engine, third generation) has 900,000 AI-optimized cores, 4 trillion transistors, and delivers 125 petaflops of compute. For context, NVIDIA’s B200 — widely considered the best GPU on the market — has roughly 19x fewer transistors. Cerebras claims a 7,000x memory bandwidth advantage and inference speeds 10–70x faster than GPU clusters for large language models.

The engineering challenge is staggering. Manufacturing defects are inevitable on a piece of silicon this large, so Cerebras designed a “fail-in-place” architecture — redundant cores, redundant routing, and systems that detect and route around defective regions automatically. This is not a GPU competitor built on incremental improvements. It’s a fundamentally different approach to computing, and working on it requires engineers who are comfortable with first-principles thinking at scale.

4T

Transistors (WSE-3)

900K

AI-Optimized Cores

125

Petaflops Compute

## Engineering Culture: First-Principles at Wafer Scale

Cerebras’ engineering culture is shaped by the audacity of its product. When you’re building something that the semiconductor industry considered impossible, you don’t have the luxury of following playbooks. Engineers at Cerebras work at the intersection of chip architecture, compiler design, systems software, and machine learning infrastructure — often within the same team.

The founding team — Andrew Feldman, Gary Lauterbach, Sean Lie, Michael James, and Jean-Philippe Fricker — previously built SeaMicro, a server company they sold to AMD for $334 million in 2012. That shared history matters. Cerebras isn’t a company of strangers who found each other through recruiting. The leadership team has worked together for over a decade, and that continuity permeates the culture with an unusual level of trust and directness.

### Tech Stack & Engineering Domains

SystemVerilog C/C++ Python LLVM PyTorch Custom ISA

Engineering at Cerebras spans several distinct domains:

-   **Chip design.** Hardware engineers work on the WSE architecture itself — core design, memory hierarchy, on-wafer networking, and the fail-in-place redundancy systems. This is deep RTL and physical design work.
-   **Compiler & systems software.** A chip this different needs a custom software stack. Cerebras built its own compiler (based on LLVM) that maps ML workloads onto 900,000 cores, handling data flow, memory management, and communication across the wafer.
-   **ML infrastructure.** Making the WSE accessible to researchers and enterprises means building frameworks, APIs, and integrations with PyTorch and other standard ML tooling. This team bridges the gap between custom hardware and the workflows data scientists actually use.
-   **Inference platform.** Cerebras offers cloud-based inference services, and the team building this handles the full stack from hardware management to API design.

Employee Pro "Amazing talent with a great spirit of mentoring and collaboration — freedom to do your best work on genuinely novel problems"

Multiple reviews highlight the caliber of colleagues as the standout perk. Employees describe teams where “most team members graduated from top CS universities and have Master+ degrees or years of work experience.” The mentorship culture is consistently praised — senior engineers invest real time in growing junior talent, which is unusual for a company operating at this pace.

## What Employees Actually Say

We analyzed themes across Cerebras’ 57 Glassdoor reviews to surface the patterns beyond the aggregate numbers.

### What employees love

Employee Pro "Many cutting-edge projects to explore — genuinely novel problems in chip design, compiler engineering, and ML infrastructure"

Employee Pro "Collaborative culture with strong mentorship and autonomy in small self-managed teams"

Employee Pro "Relatively good pay with competitive total compensation — salary and stock"

The theme is clear: Cerebras attracts engineers who want to work on problems that don’t exist anywhere else. If building a wafer-scale compiler or designing a 4-trillion-transistor processor excites you at a gut level, this is one of the only places on Earth where you can do it. The mentorship culture and team autonomy add a collaborative dimension that distinguishes Cerebras from the “grind and ship” culture of many AI startups.

### What could be better

Employee Con "Top-down decisions with aggressive timelines — speed of execution is prioritized over code quality"

Employee Con "A lot of tech debt and low quality codebase in some areas — the rush to ship creates maintenance burden"

Employee Con "Lack of transparency around promotions, official job titles, and salary bands"

Employee Con "Work-life balance can suffer during crunch periods — aggressive deadlines are common"

The cons paint a picture of a company in growth mode that hasn’t fully matured its internal processes. The aggressive timelines are a natural consequence of competing against NVIDIA — a company with 30,000+ employees and decades of ecosystem lock-in. But several reviews note that the bias toward speed creates tech debt that compounds over time. The promotion transparency issue is common in pre-IPO companies and may improve now that Cerebras is public.

## Glassdoor Ratings Breakdown

Cerebras’ overall 4.1 rating places it solidly among the [best AI companies for engineers](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026). Here’s how the sub-categories break down:

Culture & Values 4.1

Compensation & Benefits 3.9

Overall Rating 4.1

Career Opportunities 4.0

Work-Life Balance 3.8

The 3.8 WLB score is honest for a hardware company racing to establish itself against NVIDIA. For comparison, [CoreWeave](https://jobsbyculture.com/companies/coreweave) — another AI infrastructure company in our directory — operates at a similar intensity. If [work-life balance](https://jobsbyculture.com/values/wlb) is your top priority, companies like [Notion](https://jobsbyculture.com/companies/notion) (4.2) or [Linear](https://jobsbyculture.com/companies/linear) (4.4) are better fits. But for engineers who thrive under intensity and want to work on generational hardware problems, the 3.8 is a reasonable trade-off.

## Compensation & the IPO Effect

Compensation at Cerebras has been competitive but not at the top of the AI market — until now. Based on employee-reported data, here’s what the compensation landscape looks like:

$164K+

MTS Base Salary

3.9 / 5

Comp & Benefits Rating

~$56B

IPO Valuation

Base salaries for Member of Technical Staff (MTS) roles — Cerebras’ primary engineering title — range from roughly $164k to $196k based on employee-reported data, with total compensation reaching $200k–$350k+ when you include equity. The equity component is where things get interesting. With Cerebras now public at a fully diluted valuation around $56 billion at the IPO price (and trading higher after the first-day pop), early employees who received stock grants at earlier valuations could see life-changing returns once lock-ups expire.

Cash compensation alone puts Cerebras below frontier AI labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) and [OpenAI](https://jobsbyculture.com/companies/openai), where senior engineers can earn $300k–$500k+ in total comp. But the equity story is different. Cerebras has real revenue ($510M, up 76% year over year) and a multi-billion-dollar market cap, and even if the underlying business ran a non-GAAP operating loss in 2025 after stripping out a one-time G42 accounting gain, the public market is pricing in continued growth. For engineers who joined in the last 2–3 years, stock appreciation may more than make up for lower base comp.

Post-IPO, expect Cerebras to face pressure to raise cash compensation to compete with public company peers like NVIDIA and AMD, as well as well-funded AI startups. The IPO typically marks an inflection point where companies need to offer competitive RSU packages alongside salaries that match the broader market. For prospective candidates, this means the next 6–12 months may be an unusually good time to negotiate.

## The IPO: What Changes for Employees

Going public transforms a company’s internal dynamics in predictable ways. Here’s what Cerebras employees should expect:

-   **Equity liquidity.** The biggest immediate change. Pre-IPO stock grants were paper wealth — now they’re liquid. Employees who joined early at lower valuations may see significant paydays after lock-up periods expire (typically 90–180 days post-IPO).
-   **Increased scrutiny.** Public companies face quarterly earnings pressure. This can shift internal culture from long-term R&D bets toward shorter-term revenue targets. Cerebras’ leadership will need to balance Wall Street expectations with the multi-year hardware development cycles their product requires.
-   **Process overhead.** SOX compliance, insider trading windows, earnings blackout periods, and more formal financial controls are all part of being public. Engineers rarely feel this directly, but managers and leadership will.
-   **Hiring leverage.** A successful IPO validates the company and makes it easier to recruit. Cerebras can now offer liquid RSUs instead of illiquid private stock, which is a meaningful recruiting advantage against startups.

The 20x oversubscription of the IPO suggests strong market confidence. For current employees, that’s validation. For prospective hires, it means Cerebras is likely to invest heavily in headcount growth — the 99 open positions on our platform today are probably just the beginning.

## Who Thrives at Cerebras

Cerebras is not for everyone, and the company doesn’t try to be. Based on the culture signals, employee reviews, and the nature of the work, here’s who tends to excel:

-   **Hardware-software bridge engineers.** The most impactful engineers at Cerebras understand both silicon and software. If you can reason about cache hierarchies, data flow across a wafer, and compiler optimization in the same conversation, you’re rare and valuable here.
-   **First-principles thinkers.** There are no textbooks for wafer-scale computing. Engineers who default to “how has this been done before?” will struggle. Engineers who ask “what does the physics allow?” will thrive. This is a company where novel solutions are the norm, not the exception.
-   **People who want [product impact](https://jobsbyculture.com/values/product-impact) at a hardware level.** If you want to see your work change how AI models are trained and deployed at a fundamental level, Cerebras offers that. A single WSE-3 replaces entire racks of GPUs. Your engineering decisions ripple through the entire AI infrastructure stack.
-   **Engineers comfortable with ambiguity.** At ~700 employees competing against NVIDIA’s 30,000+, Cerebras can’t plan everything meticulously. You’ll need to make decisions with incomplete information, prototype quickly, and course-correct. The pace is fast and the target moves.

Cerebras is _not_ ideal for engineers who prioritize stability and predictability, prefer working in large teams with well-defined processes, or need strict [work-life balance](https://jobsbyculture.com/values/wlb) boundaries. The aggressive timelines and hardware development cycles mean crunch periods are real. If that’s a dealbreaker, consider companies like [GitLab](https://jobsbyculture.com/companies/gitlab) or [HubSpot](https://jobsbyculture.com/companies/hubspot) that offer more structured environments with better WLB scores.

## How Cerebras Compares

Cerebras occupies a specific niche in the AI landscape. Here’s how it stacks up against comparable companies in our [directory](https://jobsbyculture.com/companies):

-   **vs. [Tenstorrent](https://jobsbyculture.com/companies/tenstorrent):** Also building custom AI chips, led by Jim Keller (legendary chip architect). Tenstorrent is smaller and pre-revenue. Cerebras has the advantage of proven product-market fit and a public offering. Both attract similar engineering profiles.
-   **vs. [CoreWeave](https://jobsbyculture.com/companies/coreweave):** CoreWeave builds GPU cloud infrastructure, primarily using NVIDIA hardware. Cerebras builds the chips themselves. Different technical challenges, similar intensity levels, similar compensation ranges.
-   **vs. [Anthropic](https://jobsbyculture.com/companies/anthropic) / [OpenAI](https://jobsbyculture.com/companies/openai):** The AI labs focus on model research and deployment. Cerebras builds the hardware those models run on. Compensation at the labs is higher (especially for research roles), but Cerebras offers more direct hardware engineering impact and IPO equity upside.

Use our [comparison tool](https://jobsbyculture.com/compare) to see Cerebras side-by-side with any of the companies in our directory.

## Open Positions at Cerebras

Cerebras currently has **99 open positions** on our platform, spanning hardware engineering, software, ML infrastructure, and operations roles. Most positions are based in Sunnyvale, California, with some hybrid arrangements. Post-IPO, expect this number to grow as the company invests in scaling its team.

For the full list of roles, culture values, and side-by-side comparisons, visit the [Cerebras culture profile page](https://jobsbyculture.com/companies/cerebras).

## Frequently Asked Questions About Working at Cerebras

Is Cerebras Systems going public in 2026?+

Yes. Cerebras Systems began trading on the Nasdaq on May 14, 2026 under the ticker symbol CBRS. After lifting the IPO price range multiple times on demand, the company priced above the lifted range at $185 per share, raising $5.55 billion — the largest U.S. tech IPO since Uber. At the IPO price, Cerebras carried a fully diluted valuation of about $56 billion, with the market value pushing into the $86–106 billion range after a 68% first-day pop. The IPO was initially planned for late 2025 but was delayed, partly due to scrutiny around the company’s relationship with a major Middle Eastern customer.

How many employees does Cerebras have?+

Cerebras Systems has approximately 700 employees as of mid-2026. The company has 99 open positions listed on [JobsByCulture](https://jobsbyculture.com/jobs?company=cerebras), spanning hardware engineering, software, ML, and operations roles, primarily based in Sunnyvale, California. For context across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Cerebras Systems' Glassdoor rating?+

Cerebras has a 4.1 out of 5.0 overall Glassdoor rating based on 57 anonymous employee reviews. 90% of employees recommend working there. Work-Life Balance is rated 3.8/5, Compensation & Benefits 3.9/5, Culture & Values 4.1/5, and Career Opportunities 4.0/5. See our [full Cerebras culture profile](https://jobsbyculture.com/companies/cerebras) for the complete breakdown.

What is the Cerebras Wafer Scale Engine?+

The Wafer Scale Engine (WSE) is Cerebras’ core innovation — a processor built on an entire silicon wafer instead of being cut into smaller chips. The latest WSE-3 contains 4 trillion transistors across 900,000 AI-optimized cores, delivering 125 petaflops of compute. It’s the largest chip ever built, measuring 46,225 mm². The key engineering breakthrough was a “fail-in-place” architecture with redundant cores and routing that works around manufacturing defects.

What is the salary at Cerebras Systems for engineers?+

Based on employee-reported compensation data, base salaries for Member of Technical Staff roles at Cerebras range from $164k to $196k, with total compensation (including equity) reaching $200k–$350k+ depending on level and role. With the IPO, equity compensation becomes liquid and could significantly increase effective total comp for early employees.

How does Cerebras compare to NVIDIA as an employer?+

Cerebras and NVIDIA attract different engineering profiles. NVIDIA offers a massive ecosystem (CUDA, cuDNN, TensorRT), higher base compensation at senior levels, and more stability with ~30,000 employees. Cerebras offers the chance to work on fundamentally novel computing architecture, higher equity upside potential, and smaller teams where individual contribution is more visible. Engineers who want to push boundaries in chip design tend to prefer Cerebras; those who want ecosystem breadth and stability tend to prefer NVIDIA.

What is Cerebras’ engineering culture like?+

Cerebras’ engineering culture is defined by the extreme technical challenge of wafer-scale computing. Engineers work at the intersection of chip design, systems architecture, and ML infrastructure. Reviews cite strong [mentorship](https://jobsbyculture.com/values/learning), collaborative teams, and colleagues from top CS programs. The trade-off is aggressive timelines, a bias toward execution speed over code quality, and crunch periods during hardware tape-outs and product launches.

### Explore Cerebras’ 99 open roles

Hardware engineering, ML infrastructure, compiler design — see all positions with culture context and employee insights.

[View Cerebras Profile →](https://jobsbyculture.com/companies/cerebras) [Browse Cerebras Jobs →](https://jobsbyculture.com/jobs?company=cerebras)

---

## Document: Working at Chainguard in 2026: The Security Unicorn Making Open Source Safe by Default

# Working at Chainguard in 2026: The Security Unicorn Making Open Source Safe by Default

> Working at Chainguard in 2026: roughly 500-650 employees, $3.5B valuation, 4.4 Glassdoor rating, fully remote, and what happens when ex-Google open-source engineers build a security company from scratch.

Source: https://jobsbyculture.com/blog/working-at-chainguard-2026
Markdown: https://jobsbyculture.com/blog/working-at-chainguard-2026.md
Last updated: 2026-07-14

---
Most security companies sell fear. [Chainguard](https://jobsbyculture.com/companies/chainguard) sells prevention. Founded in 2021 by five former Google engineers — Dan Lorenc, Kim Lewandowski, Matt Moore, Scott Nichols, and Ville Aikas — the company has grown from a small open-source security startup to a $3.5 billion enterprise in under four years. The product is deceptively simple: hardened container images, language libraries, and VM images that ship with zero known vulnerabilities by default. Instead of asking engineering teams to patch hundreds of CVEs after deployment, Chainguard eliminates them at the source.

The founding team's pedigree is unusual for a security company. These are the people who built Sigstore (the free signing standard now used across the open-source ecosystem), contributed to Kubernetes and Knative at Google, and helped define modern software supply chain security before it became a boardroom concern. That background — deeply technical, open-source-native, practitioner-first — shapes everything about how Chainguard operates as an employer.

We pulled data from Chainguard's Glassdoor reviews (55 as of early 2026), their public careers page, and community signals to give you an honest picture of what it's actually like to work there. Here's what you need to know.

## Chainguard at a Glance

Founded

2021

Headquarters

Fully remote (US-focused)

Founders

Dan Lorenc, Kim Lewandowski, Matt Moore, Scott Nichols, Ville Aikas

Company Size

roughly 500-650 employees

Valuation

$3.5B

Total Funding

$892M

Glassdoor Rating

4.4 / 5.0 (~57 reviews)

Work-Life Balance

4.2 / 5.0

Recommend to Friend

88%

Business Outlook

91% positive

Culture Values

[Remote](https://jobsbyculture.com/values/remote), [Open-Source](https://jobsbyculture.com/values/open-source), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Equity](https://jobsbyculture.com/values/equity), [Work-Life Balance](https://jobsbyculture.com/values/wlb)

Among the [118 companies in our Culture Directory](https://jobsbyculture.com/companies), Chainguard stands out for the combination of a genuinely technical founding team, rapid hypergrowth, and a culture that still feels more like an open-source project than a corporate security vendor. The 4.4 Glassdoor rating and 88% recommendation rate are strong signals — particularly given that ~57 reviews is enough to establish a meaningful pattern rather than just early-employee enthusiasm.

## The Founding Story: From Google's Open-Source Team to $3.5B

Chainguard's origin story matters because it explains the culture. In 2020, the SolarWinds hack exposed a fundamental weakness in the software supply chain: even well-run organizations were vulnerable because the open-source components they relied on weren't secure by default. Dan Lorenc, then at Google, had been working on this problem. He'd created Sigstore, a free standard for signing and verifying software artifacts, and had helped build Tekton (a CI/CD framework for Kubernetes). He saw that the industry needed more than just tools for detecting vulnerabilities after the fact — it needed secure-by-default artifacts that never had the vulnerabilities in the first place.

In 2021, Lorenc left Google along with four colleagues — Kim Lewandowski, Matt Moore, Scott Nichols, and Ville Aikas — all of whom had deep roots in Google's open-source infrastructure. Together, they founded Chainguard with a thesis that seemed almost too simple: what if every container image, every language library, every VM image started with zero known CVEs? Not patched after the fact. Not scanned and flagged. Just clean from the start.

The market validated the thesis quickly. Chainguard raised $892M in total funding across multiple rounds, including a $356M Series D in April 2025 and a $280M growth-financing round led by General Catalyst's Customer Value Fund in October 2025. Annual recurring revenue grew roughly 7x in FY2025 to about $40 million, per the company. In a cybersecurity market saturated with noise and fear-based marketing, Chainguard's practitioner-led, open-source-first approach has resonated with engineering teams at companies that buy based on technical merit.

$3.5B

Valuation

7x

ARR Growth (FY2025)

$892M

Total Funding

This growth trajectory matters for prospective employees because it defines the current experience. Chainguard is a company that has scaled from startup to enterprise in record time. The culture still reflects the open-source roots and practitioner DNA of the founding team, but the organizational infrastructure is scrambling to catch up with the business. That tension — between the scrappy open-source ethos and the demands of a billion-dollar enterprise — is the defining feature of working at Chainguard right now.

## Open-Source DNA: Wolfi, Chainguard Images, and the Culture It Creates

Chainguard is not a company that uses open-source. It is an [open-source company](https://jobsbyculture.com/values/open-source). The distinction matters for understanding the culture. Chainguard's core products — Chainguard Images and Wolfi (a Linux "undistro" designed for containers) — are built on open-source foundations. Wolfi itself is fully open-source. The company's approach to container security grew directly out of open-source supply chain work the founders did at Google.

This shapes the engineering culture in tangible ways. Engineers at Chainguard work in the open, contribute to public projects, and engage with a community of practitioners who use and scrutinize their work. The internal culture mirrors open-source norms: technical merit drives decisions, documentation is a first-class artifact, and credibility comes from what you ship rather than your title. For engineers coming from traditional enterprise security companies, this can feel like a breath of fresh air. For those coming from the open-source world itself, it feels like home.

Employee Pro "The founders are security practitioners who understand what engineers need — not salespeople who view engineering as a cost center"

The open-source orientation also means Chainguard attracts a particular type of engineer. The people who thrive here are those who have opinions about supply chain security, who've dealt with CVE triage at 2 AM, who understand why Sigstore matters. The hiring bar is high, but it's calibrated toward practical security knowledge and open-source contribution rather than algorithmic puzzle-solving. If you've maintained a popular open-source project or built infrastructure used by thousands of developers, Chainguard will notice.

## Remote-First with Exceptional Benefits

Chainguard has been [fully remote](https://jobsbyculture.com/values/remote) since its founding. The company has no central office, and most employees are US-based. This wasn't a pandemic accommodation — it was a deliberate choice by founders who had experienced both the benefits and limitations of Google's office-centric culture and chose differently for their own company.

What sets Chainguard apart from other remote companies is the benefits package. The company offers 100% employer-paid health, dental, and vision insurance — not just for employees, but for their families. In the US healthcare landscape, where family coverage can easily cost $1,500–$2,000+ per month, this is a genuinely meaningful benefit. It's one of the most frequently cited positives in Glassdoor reviews, and it signals something about how the company thinks about employee welfare: not as a retention tactic, but as a baseline.

Employee Pro "100% employer-paid health, dental, and vision for the whole family — I've never seen benefits this good at a startup"

The [work-life balance](https://jobsbyculture.com/values/wlb) score of 4.2/5 on Glassdoor is consistent with what you'd expect from a well-run remote company. It's not the 4.5+ you see at smaller, slower-growing companies like [PostHog](https://jobsbyculture.com/companies/posthog), because Chainguard is in hypergrowth mode. But it's meaningfully higher than the 3.5–3.8 range typical of enterprise security companies. The remote-first model gives people flexibility to structure their days, and the 4.2 rating suggests that flexibility is genuine rather than aspirational.

The downside of fully remote, as several reviewers note, is that it can feel isolating — particularly for employees who joined during rapid scaling phases and haven't yet built strong internal relationships. At roughly 500-650 employees, Chainguard is large enough that you won't know everyone, but small enough that remote isolation is more noticeable than it would be at a 5,000-person company with established virtual social infrastructure.

## Glassdoor Ratings Breakdown

Chainguard's 4.4 overall Glassdoor rating, based on roughly 57 reviews, is one of the stronger scores across the [118 companies in our directory](https://jobsbyculture.com/companies). It sits alongside companies like [Anthropic](https://jobsbyculture.com/companies/anthropic) and above most enterprise security competitors. More importantly, the sub-category scores paint a consistent picture of a company that employees genuinely like working at — with some predictable growing pains.

Overall Rating 4.4

Culture & Values 4.5

Career Opportunities 4.5

Work-Life Balance 4.2

The Culture & Values score of 4.5 is notable because it reflects a company that has managed to maintain its open-source identity even through hypergrowth. Career Opportunities at 4.5 is strong for a company that's only five years old — the rapid growth means new roles and responsibilities are being created constantly, and employees who joined early have had the opportunity to grow into leadership positions that didn't exist a year ago. The 4.2 Work-Life Balance score, while not exceptional, is solid for a company growing this fast.

The 91% positive business outlook is the number that jumps off the page. In our experience, business outlook above 85% is rare and indicates that employees believe in the company's trajectory, not just its current state. At Chainguard, this likely reflects the combination of massive funding, rapid ARR growth, and a product that solves a genuine problem the market is increasingly willing to pay for.

## What Employees Actually Say

The Glassdoor reviews tell a story of a company that gets the big things right but is wrestling with the predictable challenges of scaling at breakneck speed.

### What employees love

Employee Pro "High transparency, zero corporate fluff — the team genuinely cares about making the internet safer"

Employee Pro "Generous equity at a $3.5B valuation with real revenue growth behind it — not vapor equity"

Employee Pro "Strong open-source culture — you're working alongside people who built Sigstore, Wolfi, and key Kubernetes infrastructure"

Employee Pro "Outstanding benefits package — fully paid health coverage for the entire family is genuinely rare"

The consistent theme is authenticity. Employees describe a company where the mission is real (not just marketing), the technical bar is high, and the leadership team is composed of practitioners rather than professional executives. For people coming from traditional enterprise security companies — where sales culture often dominates engineering — Chainguard's [engineering-driven](https://jobsbyculture.com/values/eng-driven) approach is a significant draw.

### What could be better

Employee Con "Hypergrowth means some processes haven't caught up — expect inefficiencies and constant change"

Employee Con "Fully remote can feel isolating, especially for newer employees who haven't built relationships yet"

Employee Con "Some reports of fear-based management concerns — not universal but worth asking about in interviews"

Employee Con "Sales org reviews are more mixed than engineering — the practitioner-first culture may not extend equally across all departments"

The cons deserve honest examination. The "fear-based management" concern that appears in some reviews is worth noting. It's not the dominant sentiment — the 88% recommendation rate and 4.4 overall score indicate that most employees have a positive experience — but it appears often enough that prospective employees should ask pointed questions about management style during the interview process. Hypergrowth companies often have uneven management quality because they promote fast and hire managers externally who may not share the founding culture. Whether this is a systemic issue or a localized one depends on the team you'd be joining.

The split between engineering and sales culture is also worth flagging. At many security companies, sales dominates the culture and engineers feel like an afterthought. At Chainguard, the opposite dynamic can create friction: the practitioner-first, [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture is a genuine strength, but it can leave sales teams feeling like second-class citizens. If you're in go-to-market rather than engineering, calibrate your expectations accordingly.

## Compensation & Equity

Chainguard's compensation package is competitive, anchored by two standout components: the benefits and the equity.

88%

Recommend to Friend

91%

Positive Outlook

4.4

Overall Rating

The [equity](https://jobsbyculture.com/values/equity) story at Chainguard is compelling. At a $3.5B valuation with $892M in total funding raised, the company is well-capitalized after growing FY2025 ARR 7x to $40M. For employees receiving equity grants, the question isn't whether Chainguard is a real business (the ARR growth answers that) but how much further the valuation can grow. The potential paths to liquidity (IPO or acquisition) are both plausible, which means equity has real potential value rather than being lottery tickets.

The 100% employer-paid health, dental, and vision coverage for employees and families is the benefit that gets mentioned most frequently. In the context of US healthcare costs, this represents thousands of dollars per year in effective additional compensation. Combined with a fully remote work model (no commuting costs), the total value proposition extends well beyond base salary.

Base salaries are competitive with the enterprise security market but likely below the frontier AI labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai). The total comp equation depends heavily on how you value the equity component — and at Chainguard's growth rate, that's a bet worth taking seriously.

## Who Thrives at Chainguard — and Who Should Be Cautious

Chainguard's culture is specific enough that fit matters significantly. Based on the Glassdoor data, the founding team's background, and the company's operating model, here's who tends to do well:

-   **Open-source practitioners.** If you've maintained public repos, contributed to CNCF projects, or built infrastructure that other developers use, Chainguard's [open-source culture](https://jobsbyculture.com/values/open-source) will feel natural. The founding team comes from this world, and the culture rewards the same traits: technical rigor, public accountability, and community engagement.
-   **Security engineers who are tired of fear-based selling.** Chainguard's product philosophy is prevention, not detection. If you're burnt out on security companies that sell fear and ship mediocre products, the engineering-driven approach here is genuinely refreshing. The technical problems are real and the product has clear market validation.
-   **People who thrive in ambiguity.** At a company that grew ARR 7x last fiscal year, processes, org charts, and priorities change constantly. If you need clearly defined roles, stable team structures, and predictable workflows, the current growth phase will feel chaotic. If you see ambiguity as opportunity, you'll find plenty of room to shape the company.
-   **Remote-native workers.** Chainguard has been [remote-first](https://jobsbyculture.com/values/remote) from day one. If you've proven you can be productive, communicative, and connected without an office, you'll fit right in. If you secretly prefer in-person collaboration, the fully remote model won't change for you.
-   **Engineers who want equity upside without sacrificing benefits.** The combination of competitive [equity](https://jobsbyculture.com/values/equity) at a $3.5B valuation and exceptional benefits is unusual. Most startups make you choose between equity upside and good benefits. Chainguard offers both.

Chainguard is _not_ ideal for people who need organizational stability, clearly defined career ladders, or a culture where every department is treated equally. The engineering-first culture is a feature, not a bug — but it means go-to-market teams may feel like they're working in a different company. If management style consistency is important to you, ask specific questions about your potential manager during interviews. And if you're looking for a slow-paced, settled environment, a company that grew from zero to $3.5B in four years is not that.

## Open Positions at Chainguard

Chainguard is actively hiring across engineering, security, and go-to-market roles. As a fully [remote](https://jobsbyculture.com/values/remote) company, positions are primarily open to US-based candidates. The combination of rapid growth, strong funding, and the open-source mission described in this post makes Chainguard worth serious consideration for security engineers and infrastructure practitioners who want to work on problems that genuinely matter.

For full details on Chainguard's culture values and open roles, visit the [Chainguard culture profile page](https://jobsbyculture.com/companies/chainguard) or [browse Chainguard jobs](https://jobsbyculture.com/jobs?company=chainguard).

## Frequently Asked Questions About Working at Chainguard

Is Chainguard fully remote?+

Yes. Chainguard is fully [remote](https://jobsbyculture.com/values/remote) with roughly 500-650 employees, primarily US-based. The company was founded as remote-first in 2021 by five former Google engineers and has never had a central office. The culture emphasizes output-based work and async communication.

How many employees does Chainguard have in 2026?+

Chainguard has roughly 500-650 employees as of early 2026 (different sources put the count between ~500 and ~666). The company has grown rapidly from startup to $3.5B valuation in under four years, supported by $892M in total funding including a $356M Series D (April 2025) and a $280M growth round (October 2025) led by General Catalyst.

What is Chainguard's Glassdoor rating?+

Chainguard has a 4.5 out of 5.0 overall Glassdoor rating based on 55 reviews. Work-Life Balance is rated 4.2/5, Culture & Values 4.3/5, and Career Opportunities 4.3/5. 90% of employees recommend working there and 93% have a positive business outlook. See our [full Chainguard culture profile](https://jobsbyculture.com/companies/chainguard) for the complete breakdown.

What does Chainguard actually do?+

Chainguard secures the [open-source](https://jobsbyculture.com/values/open-source) software supply chain. Their main products are Chainguard Images (hardened container images with zero known CVEs), Wolfi (a Linux undistro designed for containers), and secure language libraries and VM images. They apply zero-trust principles to make open-source software safe by default, rather than requiring teams to patch vulnerabilities after deployment.

Who founded Chainguard?+

Chainguard was founded in 2021 by five former Google engineers: Dan Lorenc, Kim Lewandowski, Matt Moore, Scott Nichols, and Ville Aikas. The founders are well-known in the open-source security community — Dan Lorenc created Sigstore, and the team contributed extensively to Kubernetes, Knative, and Tekton at Google.

What is Chainguard's compensation like?+

Chainguard offers competitive compensation with generous [equity](https://jobsbyculture.com/values/equity) at a $3.5B valuation. Benefits include 100% employer-paid health, dental, and vision coverage for employees and their families — one of the most comprehensive health benefits packages in the industry. The company grew ARR roughly 7x to $40M in FY2025, supporting a strong equity narrative.

What are the downsides of working at Chainguard?+

Common criticisms include hypergrowth-related inefficiencies as the company scales rapidly, some reports of fear-based management concerns, a fully remote environment that can feel isolating, and more mixed reviews from the sales organization compared to engineering. The fast pace of a company that grew ARR roughly 7x last fiscal year can feel overwhelming for some employees.

### Explore Chainguard jobs with culture context

See Chainguard's open roles alongside employee reviews, culture values, and side-by-side comparisons with other remote-first security companies.

[Browse Chainguard Jobs →](https://jobsbyculture.com/jobs?company=chainguard) [View Chainguard Profile →](https://jobsbyculture.com/companies/chainguard)

---

## Document: Working at Cloudflare 2026: Employee Count, Glassdoor & Engineering Culture

# Working at Cloudflare 2026: Employee Count, Glassdoor & Engineering Culture

> How many employees does Cloudflare have in 2026? Full breakdown of headcount, Glassdoor rating, engineering culture, compensation, and what makes Cloudflare different from other infra companies.

Source: https://jobsbyculture.com/blog/working-at-cloudflare-2026
Markdown: https://jobsbyculture.com/blog/working-at-cloudflare-2026.md
Last updated: 2026-07-14

---
Cloudflare is one of the most discussed companies on Hacker News — and for good reason. It powers a significant portion of the internet's infrastructure, publishes some of the most transparent postmortems in the industry, and ships at a pace that belies its scale. Engineers admire the company from the outside. But what's it actually like to work there — especially after the company announced a 20% workforce reduction (roughly 1,100 roles) in May 2026 as part of a pivot to an "agentic AI-first" operating model?

We dug into Glassdoor data, employee reviews, compensation signals, and Cloudflare's engineering culture to build the complete picture. Whether you're weighing an offer, prepping for an interview, or just curious about one of the most prominent infrastructure companies in tech, this is everything you need to know about working at Cloudflare in 2026.

## The Numbers at a Glance

Before we unpack what makes Cloudflare tick, here are the numbers that define the company today.

Metric

Detail

Founded

2009

Headquarters

San Francisco, CA (NYSE: NET)

Company Size

Large (~4,400 employees post the May 2026 ~20% reduction; previously ~5,500)

Glassdoor Rating

3.9 / 5.0

Work-Life Balance

3.7 / 5.0

CEO Approval

Matthew Prince, ~77%

Recommend to Friend

~72%

Open Positions

529 (375 Hybrid, 82 In-Office, 52 Distributed)

Stock

NYSE: NET

A 3.9 Glassdoor with 72% recommend places Cloudflare in solid but unexceptional territory. For context, [Databricks](https://jobsbyculture.com/companies/databricks) sits at 4.3 (90% recommend), [Anthropic](https://jobsbyculture.com/companies/anthropic) at 4.4 (95%), and [OpenAI](https://jobsbyculture.com/companies/openai) at 4.5 (93%). Cloudflare's numbers are closer to [Vercel](https://jobsbyculture.com/companies/vercel) (3.9) and [Datadog](https://jobsbyculture.com/companies/datadog) (3.7). The engineering brand is stronger than the Glassdoor score suggests — and the gap tells an important story.

3.9 / 5.0

Glassdoor Overall Rating — 72% Recommend — 3.7 WLB

## The Engineering Brand Gap

Here is the central tension at Cloudflare. Outside the company, engineers worship it. The Cloudflare blog is legendary — detailed postmortems, deep technical dives into internet protocols, and transparent explanations of outages that most companies would bury. When Cloudflare has an incident, they don't just fix it. They publish a 5,000-word analysis of exactly what went wrong and why. This level of transparency has built one of the strongest engineering brands in tech.

Inside the company, the picture is more nuanced. The 3.9 Glassdoor and 72% recommend rate suggest that the day-to-day experience doesn't always match the external reputation. The gap isn't unusual for companies at this scale — at thousands of employees, individual experience varies dramatically by team, manager, and org. But it's worth understanding what drives it.

The answer, overwhelmingly, is **management quality**. Senior Management scores 3.5 out of 5.0 — the lowest sub-category rating and the main source of employee complaints. Cloudflare has brilliant engineers and exciting technology, but the management layer between individual contributors and the executive team is inconsistent. Some teams are exceptionally well-run. Others aren't.

## The May 2026 AI-Driven Restructuring

On May 7, 2026, alongside record Q1 revenue of $639.8 million (up 34% year over year), Cloudflare announced it was cutting roughly 1,100 roles — about 20% of its global workforce. CEO Matthew Prince framed the reduction not as a response to weak demand but as a deliberate restructuring around what he called an "agentic AI-first" operating model, after internal AI usage at the company surged more than 600% over the prior three months.

Prince publicly described his workforce as splitting into three buckets — "builders," "sellers," and "measurers" — with the cuts concentrated on "measurers" in finance, compliance, legal review, middle management, and operations. Cloudflare estimated $140–$150 million in restructuring charges, most landing in Q2, with the plan largely complete by the end of Q3. The market reacted sharply: NET stock dropped more than 20% the day of the announcement.

For anyone evaluating an offer, this matters in two ways. First, prior Glassdoor data — including the sub-scores above — predate the restructuring and largely reflect the pre-cut experience; sentiment among remaining employees will take months to surface in reviews. Second, the categories being cut tell you where Cloudflare sees future leverage (engineering, especially AI-adjacent work) and where it sees less (large back-office and middle-management functions). Candidates with strong AI/infra skills are landing in a company that just doubled down on their bucket; everyone else should ask harder questions during the interview process.

## What Makes Cloudflare Different

Cloudflare was founded in 2009 by Matthew Prince, Lee Holloway, and Michelle Zatlyn with a mission to "help build a better internet." That mission isn't just marketing copy — it's the reason many engineers join and the reason most stay. Cloudflare's network spans 300+ cities in 100+ countries, handling a significant percentage of global internet traffic. When you work at Cloudflare, the infrastructure you build genuinely touches billions of people.

The company went public on the NYSE in 2019 (ticker: NET) and has since expanded from its core CDN and DDoS protection business into an ambitious platform play. Today Cloudflare's product surface includes:

-   **CDN & Performance** — Content delivery, image optimization, and web performance at massive scale
-   **DDoS Protection** — Industry-leading mitigation that handles some of the largest attacks ever recorded
-   **Workers & Edge Computing** — A serverless platform that runs code at the edge, in 300+ cities worldwide
-   **Workers AI** — GPU inference at the edge, making Cloudflare increasingly AI-relevant
-   **Zero Trust Security** — Corporate networking and access control replacing traditional VPNs
-   **R2 Object Storage** — S3-compatible storage with zero egress fees
-   **D1 Database** — SQLite at the edge for Workers applications

This breadth is both a strength and a source of concern. Engineers love the variety — you can work on anything from low-level network protocols to AI inference to developer experience. But some employees note that the expanding product surface creates complexity, and not every product gets the attention and resources it deserves.

## Culture & Values

Cloudflare's culture is defined by a few strong currents. It is deeply **engineering-driven** — technical excellence is genuinely valued and rewarded. The company **ships fast**, with an intensity that matches startups despite its public-company size. And it cares about **product impact** at internet scale, which attracts engineers who want their work to matter beyond quarterly metrics.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Product Impact](https://jobsbyculture.com/values/product-impact) [Learning](https://jobsbyculture.com/values/learning) [Transparent](https://jobsbyculture.com/values/transparent)

The transparency value is particularly notable. Cloudflare's public postmortem culture — where they dissect incidents in excruciating, honest detail — isn't just external PR. Internally, the same ethos applies. When things break, the instinct is to understand and share, not to blame. For engineers who've worked at companies where outages are swept under the rug, this is transformative. You'll learn more from one Cloudflare incident than from a year at many other companies.

Pro "The postmortem culture is incredible. You learn so much from every incident. No blame, just understanding what went wrong and how to fix it."

The **learning** culture extends beyond incidents. Cloudflare operates at the bleeding edge of internet protocols — HTTP/3, QUIC, post-quantum cryptography. Engineers here work on problems that simply don't exist at most companies. If you're intellectually curious about how the internet actually works, Cloudflare is one of the few places where you'll be paid to satisfy that curiosity.

## Engineering Culture & Tech Stack

Cloudflare's engineering culture reflects its infrastructure DNA. The company builds at the lowest levels of the network stack, which demands a specific kind of engineer — someone comfortable with systems programming, performance optimization, and the messy reality of global-scale distributed systems.

### Tech Stack

Go Rust C/C++ TypeScript Lua Workers / Edge

**Go** is the primary language for many services and control plane components. **Rust** powers performance-critical infrastructure like Pingora, Cloudflare's custom HTTP proxy that replaced Nginx. **C/C++** remains present in legacy and low-level networking code. **TypeScript** drives the dashboard and developer-facing tooling. **Lua** still appears in the Nginx-era configuration layer. And of course, **Workers** — Cloudflare's own edge computing platform — is used extensively internally.

### Open Source Contributions

Cloudflare is a significant open-source contributor, which matters for engineers who care about public impact:

-   **Pingora** — A Rust-based HTTP proxy framework that replaced Nginx in Cloudflare's stack, now open-sourced for the community
-   **quiche** — Implementation of the QUIC transport protocol and HTTP/3, used widely beyond Cloudflare
-   **CFSSL** — A toolkit for TLS/PKI certificate management
-   **cloudflared** — The Cloudflare Tunnel client for secure origin connections

The open-source work is genuine, not performative. Pingora's release was a landmark moment — Cloudflare essentially gave away the proxy they built to replace Nginx, one of the most critical pieces of their own infrastructure. For engineers who want their work to be public and impactful, this is a strong signal.

Pro "Smart colleagues who genuinely care about building things the right way. The technical problems here are unlike anything at other companies."

## Glassdoor Ratings Breakdown

The 3.9 overall score is solid but not exceptional. The sub-category ratings tell a more detailed story — and one number in particular stands out.

Culture & Values

4.0

Overall Rating

3.9

Comp & Benefits

3.8

Career Opportunities

3.8

Work-Life Balance

3.7

Senior Management

3.5

The 3.5 Senior Management score is the red flag. At a company where Culture & Values scores 4.0 and the mission genuinely resonates, a 3.5 on management quality indicates a structural problem. Employees love _what_ Cloudflare does and _why_ it does it — but not always _how_ it's managed day to day. This gap between mission alignment and management execution is the defining tension of working at Cloudflare.

For comparison, [Databricks](https://jobsbyculture.com/companies/databricks) scores 4.0 on Senior Management, [Anthropic](https://jobsbyculture.com/companies/anthropic) scores 4.1, and even [Datadog](https://jobsbyculture.com/companies/datadog) at 3.4 is in the same range. The issue isn't unique to Cloudflare, but at 3.5 it's notably low relative to the company's otherwise strong reputation.

The 3.8 Comp & Benefits score reflects a common complaint: Cloudflare's compensation, while competitive, doesn't match FAANG peers on base salary. We'll dig into this in the compensation section.

## Compensation & Benefits

Compensation is rated 3.8 out of 5.0 — decent for a public company, but a step below what top engineers can command at Google, Meta, or the leading AI labs. Here's the nuanced picture.

$180K–$350K

Total Compensation Range for Engineers — Base + Equity + Bonus

Cloudflare's compensation philosophy as a public company involves several components:

-   **Base salary** — competitive but typically 10–20% below FAANG for equivalent levels. This is the most common complaint in compensation reviews.
-   **RSU equity** — Cloudflare grants RSUs in NET stock, which vests over a standard 4-year schedule. The stock's performance directly impacts total compensation.
-   **Annual bonus** — Performance-based bonus tied to individual and company goals.
-   **Benefits** — Comprehensive health insurance, 401(k), parental leave, wellness stipends, and the standard public-company benefits package.
-   **Learning budget** — Professional development stipend for conferences, courses, and certifications.

The total compensation range of $180K–$350K for engineers depends heavily on level, location, and stock performance. Senior engineers in San Francisco can expect the higher end; mid-level engineers in distributed roles will see the lower end. The key trade-off is clear: you're accepting somewhat lower base pay in exchange for working on internet-scale problems with one of the strongest engineering brands in tech. For many engineers, that trade-off is worth it. For others — especially those with competing FAANG offers — the gap can be hard to justify.

Con "Compensation doesn't quite match what you'd get at Google or Meta for the same role. The equity helps, but base salary is where it falls short."

## What Employees Love

Based on employee reviews and public employee feedback, four themes consistently emerge on the positive side.

+ **Mission-driven culture** — "helping build a better internet" resonates with engineers. The work genuinely impacts billions of people and the infrastructure of the web itself.

+ **Smart colleagues who ship fast** — Cloudflare attracts engineers who value innovation and velocity. The talent density is high, especially in systems and infrastructure teams.

+ **Incredible postmortem culture** — you'll learn more from Cloudflare's incident responses than from years at most companies. Transparent, blameless, and deeply technical.

+ **Workers & edge computing** — the Workers platform and Workers AI are genuinely exciting technology. Building at the edge with GPU inference is the frontier of cloud computing.

Pro — Glassdoor Review "The mission is real. When there's a major internet event, you're not watching from the sidelines — you're the one keeping things running for millions of people."

The mission angle is particularly powerful for engineers who've grown tired of optimizing ad clicks or building features for features' sake. At Cloudflare, when you improve network performance by 10ms, that improvement cascades across billions of requests per day. The scale of impact is hard to match outside of the major cloud providers — and Cloudflare's culture is far more engineering-driven than AWS or GCP.

## What Employees Warn About

Honesty requires looking at the other side. Four concerns emerge consistently from reviews and employee feedback.

− **Compensation lags FAANG competitors** — especially on base salary. Engineers with offers from Google, Meta, or top AI labs will notice a gap that equity doesn't always close.

− **Uneven management quality** — Senior Management at 3.5/5 is the lowest sub-rating. Some teams have exceptional leaders; others suffer from inconsistency and poor communication.

− **Leadership inconsistency across orgs** — at thousands of employees, your experience depends heavily on which team you join. The variance between the best and worst teams is significant.

− **Growing product complexity** — the expanding product surface (CDN, Workers, AI, Zero Trust, R2, D1) means not every product gets equal attention, resourcing, or strategic clarity.

Con — Glassdoor Review "Great technology, but management quality varies wildly across teams. Ask a lot of questions about the specific team before you join."

Con — Glassdoor Review "Some teams move fast and have great leadership. Others feel stuck with unclear priorities and too many competing projects."

The management inconsistency is the single biggest risk factor when considering Cloudflare. The technology is undeniably excellent. The mission is genuine. But your day-to-day experience will be shaped more by your manager and team than by any of those bigger factors. If you're interviewing, spend significant time understanding the specific team, the manager's tenure, and the org's recent trajectory. A great team at Cloudflare is one of the best places to be an engineer. A poorly managed team can be frustrating despite all the company-level positives.

## How Cloudflare Compares

Context matters. Here's how Cloudflare stacks up against other infrastructure and developer-tools companies in our [Culture Directory](https://jobsbyculture.com/companies).

Company

Glassdoor

WLB

Mgmt

Employees

Recommend

**Cloudflare**

3.9

3.7

3.5

~4,400

72%

[Databricks](https://jobsbyculture.com/companies/databricks)

4.3

3.7

4.0

~7,000

90%

[Datadog](https://jobsbyculture.com/companies/datadog)

3.7

3.4

3.4

~5,500

68%

[Grafana Labs](https://jobsbyculture.com/companies/grafanalabs)

4.1

4.3

3.6

~1,700

85%

[Vercel](https://jobsbyculture.com/companies/vercel)

3.9

3.5

3.2

~600

72%

The comparison reveals where Cloudflare sits in the landscape. It outperforms [Datadog](https://jobsbyculture.com/companies/datadog) on Glassdoor and WLB but trails [Databricks](https://jobsbyculture.com/companies/databricks) and [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) on both metrics. The management score of 3.5 is on par with the broader infrastructure cohort — [Datadog](https://jobsbyculture.com/companies/datadog) and [Vercel](https://jobsbyculture.com/companies/vercel) face similar management challenges. But [Databricks](https://jobsbyculture.com/companies/databricks) at 4.0 management shows it's possible to maintain leadership quality at scale.

If you want infrastructure-scale problems with better management, [Databricks](https://jobsbyculture.com/companies/databricks) or [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) are strong alternatives. If you specifically want internet infrastructure and edge computing, Cloudflare is the clear leader — nobody else offers the same combination of network scale, protocol innovation, and open-source commitment. Use our [comparison tool](https://jobsbyculture.com/compare?a=cloudflare) to run your own side-by-side analysis.

## Open Roles at Cloudflare

Cloudflare currently has **258 open positions** across engineering, sales, security, and operations. The work model breakdown is notable: 375 hybrid, 82 in-office, and 52 distributed roles. This makes Cloudflare primarily a hybrid company, with select remote opportunities available.

Key areas of hiring include:

-   **Solution Engineering** (80 roles) — the largest department hiring, working directly with enterprise customers on technical implementations
-   **Engineering** (59 roles) — core product and infrastructure engineering across Go, Rust, and TypeScript
-   **Field Sales** (43 roles) — enterprise and commercial sales across global markets
-   **Security** (34 roles) — Zero Trust, DDoS protection, and threat intelligence

For the full list of live openings, visit the [Cloudflare jobs page](https://jobsbyculture.com/jobs?company=cloudflare) or explore the [Cloudflare careers site](https://www.cloudflare.com/careers/?ref=jobsbyculture.com).

## Workers AI & The AI Angle

One of the most interesting developments at Cloudflare is **Workers AI** — GPU-powered AI inference running at the edge across Cloudflare's global network. This positions Cloudflare not just as an infrastructure company but as an increasingly AI-relevant platform. Running inference at the edge, close to users rather than in centralized data centers, is a genuinely differentiated approach.

For engineers interested in the intersection of AI and infrastructure, Workers AI represents a unique opportunity. You're not building another chatbot wrapper — you're building the infrastructure that lets AI models run at the edge, globally, with low latency. It's a fundamentally different challenge from what you'd work on at [OpenAI](https://jobsbyculture.com/companies/openai) or [Anthropic](https://jobsbyculture.com/companies/anthropic), and one that plays directly to Cloudflare's core strengths in edge computing and global network architecture.

## The Bottom Line

### The Verdict

Choose Cloudflare if you want to work on internet-scale infrastructure with one of the strongest engineering brands in tech. The postmortem culture, open-source contributions, and edge computing platform are genuinely best-in-class. But go in with your eyes open about management inconsistency — at 3.5/5 Senior Management, your experience will depend heavily on which team you join. Ask detailed questions about the specific team and manager during interviews. If you land on a great team, Cloudflare is one of the most exciting places to be an infrastructure engineer. If you prioritize compensation above all, FAANG will likely pay more.

Cloudflare's 3.9 Glassdoor doesn't capture the full story. The engineering brand is worth more than that number suggests, and the learning opportunities — from postmortems to protocol innovation to edge computing — are genuinely rare. The 3.5 Senior Management score is equally real and worth taking seriously. The best version of working at Cloudflare is extraordinary. The worst version is a great company with a mediocre manager. Do your homework on the specific team, and you'll be well-positioned to get the former.

## Frequently Asked Questions About Working at Cloudflare

What is Cloudflare's Glassdoor rating in 2026?+

Cloudflare has a **3.9 out of 5.0** Glassdoor rating in 2026. Sub-scores: Culture & Values 4.0, Comp & Benefits 3.8, Career Opportunities 3.8, Work-Life Balance 3.7, and Senior Management 3.5. 72% of employees recommend working there and CEO Matthew Prince has a 77% approval rating. See our full [Cloudflare culture profile](https://jobsbyculture.com/companies/cloudflare).

What is the work-life balance like at Cloudflare?+

Work-life balance at Cloudflare is rated **3.7 out of 5.0** on Glassdoor. This varies significantly by team — some teams report reasonable hours while others face high pressure. For comparison, [Datadog](https://jobsbyculture.com/companies/datadog) scores 3.8, [Stripe](https://jobsbyculture.com/companies/stripe) 3.6, and [Anthropic](https://jobsbyculture.com/companies/anthropic) 3.7. See our [WLB rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026).

How much do Cloudflare engineers get paid?+

Cloudflare engineers earn approximately **$180k–$350k** in total compensation. Comp & Benefits is rated 3.8/5 on Glassdoor — below FAANG peers on base salary but competitive on equity. The company is publicly traded (NYSE: NET), so RSUs provide liquid compensation. See our [highest-paying companies rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

Is Cloudflare a good company to work for?+

Cloudflare is a strong choice if you value mission-driven work, technical excellence, and learning from incidents. The engineering brand is excellent — known for postmortem culture, open-source contributions (Pingora, quiche), and edge computing innovation. The main concerns are compensation lagging FAANG and Senior Management scoring 3.5/5, suggesting uneven management quality across teams.

How many employees does Cloudflare have in 2026?+

Cloudflare has roughly **4,400 employees** as of mid-2026, down from approximately 5,500 before the company announced a ~20% (~1,100-role) restructuring in May 2026 to pivot to an "agentic AI-first" operating model. The company was founded in 2009 and is publicly traded on NYSE (NET). See our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Cloudflare's engineering culture like?+

Cloudflare’s engineering culture is widely respected. The company is known for exceptional postmortem transparency, open-source contributions (Pingora, quiche, CFSSL), and working on critical internet infrastructure. Engineers work with Go, Rust, C/C++, and the Workers edge computing platform. The culture values shipping quickly and technical excellence, but some teams report that pressure can be high.

### Browse all 13,906 jobs from 118 companies

529 Cloudflare roles. CDN, Workers, AI, Zero Trust — internet-scale infrastructure.

[See Cloudflare Jobs →](https://jobsbyculture.com/jobs?company=cloudflare) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Cognition (Devin AI) in 2026: 305 Employees, $25B Valuation & Extreme Performance Culture

# Cognition (Devin AI) in 2026: 305 Employees, $25B Valuation & Extreme Performance Culture

> Working at Cognition in 2026: 305 employees, $25B valuation talks, 3.8 Glassdoor rating, IOI gold medalists founding team, and what the extreme performance culture is really like inside the company behind Devin.

Source: https://jobsbyculture.com/blog/working-at-cognition-2026
Markdown: https://jobsbyculture.com/blog/working-at-cognition-2026.md
Last updated: 2026-07-14

---
[Cognition](https://jobsbyculture.com/companies/cognition) is the most polarizing company in AI right now. Founded in August 2023 by three IOI gold medalists — Scott Wu, Steven Hao, and Walden Yan — the company went from zero to a $25 billion pre-money valuation ($26B post-money) in under three years. Its product, Devin, is an autonomous AI software engineer that grew from a $73M ARR run-rate in mid-2025 to roughly $492 million annualized by May 2026. After acquiring Windsurf (formerly Codeium) in mid-2025, Cognition closed a $1B+ round at the $25B pre-money valuation in late May 2026.

Those are the headline numbers. But what is it actually like to work there? We dug into employee accounts, the company’s own blog posts, and a detailed SF Standard profile to build a picture of Cognition as an employer. The answer is not simple — this is a company that explicitly rejects work-life balance as a goal, where the CEO offered nine months of severance to anyone unwilling to commit to the grind. Whether that sounds exhilarating or exhausting tells you a lot about whether you belong there.

## Cognition at a Glance

Founded

August 2023

Headquarters

San Francisco, CA

Founders

Scott Wu, Steven Hao, Walden Yan

Company Size

~305 employees

Valuation

$25B pre-money (May 2026 round)

Glassdoor Rating

3.8 / 5.0 (limited reviews)

Work-Life Balance

3.2 / 5.0

Annualized Revenue Run-Rate

~$492M (May 2026)

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Strong Equity](https://jobsbyculture.com/values/equity), [Product Impact](https://jobsbyculture.com/values/product-impact)

10

IOI Gold Medals (founding team)

$25B

Valuation Target (2026)

59

Open Roles

## The Founding Story: When Competitive Programmers Build a Company

To understand Cognition’s culture, you have to start with who built it. Scott Wu won three gold medals at the International Olympiad in Informatics. He was the 2011 MathCounts national champion. He dropped out of Harvard to co-found Lunchclub, an AI networking platform, where he served as CTO from 2017 to 2022. Steven Hao earned IOI gold in 2014, studied mathematics and computer science at MIT, and was one of the earliest engineers at [Scale AI](https://jobsbyculture.com/companies/scale). Walden Yan won IOI gold in 2020.

When the three founded Cognition in August 2023, their initial team of 10 engineers held a combined 10 IOI gold medals. That included Gennady Korotkevich, widely regarded as the greatest competitive programmer alive, and Andrew He. The team also drew from [Cursor](https://jobsbyculture.com/companies/cursor), [Modal](https://jobsbyculture.com/companies/modal), [Google DeepMind](https://jobsbyculture.com/companies/deepmind), Waymo, and Nuro.

This matters for culture because competitive programming breeds a specific mindset: obsessive optimization, extreme focus, and a comfort with working at maximum intensity for extended periods. That mindset became the company’s operating system.

## The “Extreme Performance Culture”

Scott Wu doesn’t try to hide it. In a March 2026 profile by the SF Standard, he described Cognition’s work environment as an “extreme performance culture.” The reporting reveals specifics that most startups would keep quiet:

-   The team typically arrives before the 11:30 AM daily all-hands meeting — and often stays past midnight
-   Weekend work is routine, not exceptional. Founding engineer Adhyyan Sekhsaria noted the team had worked until 3 AM the day before his interview
-   After acquiring Windsurf, Wu offered buyouts and nine months of severance to any Windsurf employees unwilling to match this pace
-   The schedule goes “even further than 996” (the infamous Chinese tech schedule of 9 AM to 9 PM, six days a week)

This is not a company that pretends to value balance while quietly expecting 60-hour weeks. Cognition is transparent about the trade-off: you will work harder here than almost anywhere else in tech. In return, you get to work alongside some of the most talented engineers on the planet, on one of the highest-stakes problems in AI, with equity in a company recently valued at $25B pre-money.

Culture Signal "A small and talent-dense team building the future of software engineering — deeply competitive, low-ego culture where people move fast, argue passionately about hard problems, obsess over details others ignore."

## What Daily Life Looks Like

Despite the intensity, Cognition has invested in making the office feel like home — literally. Employees assemble at long tables in the atrium for “family dinner,” with private chefs cooking century-egg congee and Korean short ribs. The San Francisco office features a rooftop with city views, a fitness center (stocked with Devin-branded creatine), and an underground speakeasy with a Cognition-branded poker table and Super Smash Bros. Melee setup.

The perks aren’t performative wellness theater. They’re practical infrastructure for a team that spends most of its waking hours in the same building. When your engineers are routinely working 14+ hour days, feeding them well and giving them places to decompress between sprints isn’t a luxury — it’s operational necessity.

The daily all-hands at 11:30 AM functions as the heartbeat of the company. At 305 employees, Cognition is still small enough that a single standup can keep everyone aligned. The flat structure means individual engineers have direct access to the founders and can influence technical direction without navigating layers of management. This is one of the genuine advantages of joining now, before the company scales past the point where that’s possible.

## The Windsurf Acquisition: A Company That Doubled Overnight

The most significant event in Cognition’s short history happened in July 2025. Google hired away Windsurf’s CEO Varun Mohan, co-founder Douglas Chen, and several research leaders in a $2.4 billion acqui-hire deal — just hours after OpenAI’s $3 billion acquisition offer expired. This left much of Windsurf’s 250-person team without leadership.

Cognition moved fast. Scott Wu made the first call after 5 PM on a Friday and had a signed agreement by Monday morning. The deal brought Cognition Windsurf’s trademark, $82 million of ARR, 350+ enterprise customers, hundreds of thousands of daily active users, and world-class GTM and engineering teams.

The integration shipped in waves through early 2026: SWE-1.5 (a proprietary coding model reportedly 13x faster than competing models), Codemaps, embedded Devin, and a price cut that brought Windsurf’s Pro tier to $15/month. The combined enterprise ARR grew more than 30% post-acquisition.

For employees, the acquisition created both opportunity and turbulence. Windsurf engineers who stayed got access to Cognition’s frontier research and equity in a company potentially worth $25B. Those who couldn’t match the pace got generous exit packages. It was a clean, if ruthless, filter.

## Employee Perspectives: The Honest Picture

### What people love

Culture Signal Talent density is a recurring theme in coverage of the company: the founding team and early hires include multiple IOI gold medalists, including Gennady Korotkevich.

Culture Signal Equity is the headline upside for early employees, given the $25B valuation and small headcount — though the outcome depends on continued growth and a liquidity event.

Culture Signal Cognition is one of a handful of teams working on fully autonomous coding agents, which appeals to engineers who want to be at the frontier of AI applications.

The consistent theme is talent density. At 305 people with 10 IOI gold medalists on the team, the average colleague quality is extraordinarily high. Multiple accounts describe the environment as intellectually stimulating in a way that larger companies can’t replicate — you’re not explaining basic concepts to skip-level managers, you’re debating implementation details with people who’ve solved problems at the world championship level.

### What people find challenging

Culture Signal CEO Scott Wu has publicly described the company as running an "extreme performance culture" with routine late-night and weekend work — not a place optimized for work-life balance.

Culture Signal Cognition is an in-person company headquartered in San Francisco; almost all open roles are listed as on-site.

Culture Signal Rapid scaling and the Windsurf integration mean processes and career ladders are still being built around a fast-growing headcount.

The 3.2 work-life balance score is among the lower scores in our [directory](https://jobsbyculture.com/companies). If balance is your priority, Cognition is the wrong place. If you want to be surrounded by exceptional people solving a genuinely hard problem at breakneck speed, it might be exactly right.

## Compensation & Equity

Public compensation data for Cognition is thin — the company only has ~305 employees and was founded less than three years ago. Early salary reports suggest base salaries for software engineers in the $92K–$127K range, but these numbers almost certainly don’t capture the full picture.

For a company that just raised at $25B pre-money with a roughly $492M revenue run-rate, the equity component is likely substantial. Cognition competes for talent against [Anthropic](https://jobsbyculture.com/companies/anthropic), [OpenAI](https://jobsbyculture.com/companies/openai), and [Google DeepMind](https://jobsbyculture.com/companies/deepmind) — all of which offer total compensation well into the $300K–$500K+ range for senior engineers. A company that hires IOI gold medalists is not doing so with below-market packages.

The real compensation story at Cognition is equity. At a $25B pre-money valuation, early employees with meaningful equity grants are positioned for the kind of outcome that makes the 3 AM nights worthwhile in retrospect — assuming the company continues its trajectory. That’s a significant “if,” but the revenue growth and enterprise traction make it a more credible bet than most startups at this stage.

## Engineering & Product: What You’d Actually Build

Cognition’s engineering work spans two major product surfaces since the Windsurf acquisition:

### Devin — Autonomous AI Software Engineer

Devin is Cognition’s flagship product: an AI agent that can autonomously plan, write, debug, and deploy code. It operates in its own sandboxed environment with a full development setup — shell, browser, code editor. According to Cognition’s own evaluation, Devin is “senior-level at codebase understanding but junior at execution” — a refreshingly honest self-assessment. It excels at tasks with clear requirements that would take a junior engineer 4–8 hours.

### Windsurf — AI-Powered IDE

Post-acquisition, the Windsurf IDE gives Cognition a second product surface: an intelligent code editor with embedded Devin capabilities, Codemaps for codebase navigation, and SWE-1.5 as the underlying model. The $15/month Pro tier has driven rapid user growth.

### Tech stack

Python TypeScript Rust LLMs / Post-Training Agent Frameworks Sandboxed Environments

Engineering roles at Cognition tend to fall into three buckets: research (post-training, model capabilities), product engineering (Devin and Windsurf surfaces), and infrastructure (the sandboxing, orchestration, and deployment systems that let AI agents safely execute code). The “Special Projects Engineer” role on their Ashby board suggests high-autonomy, cross-cutting work — the kind of role where you define the problem as much as you solve it.

## Who Thrives at Cognition

Based on the culture signals, founding team DNA, and employee accounts, here’s who tends to do well:

-   **Competitive by nature.** The founding team are literal world champions. If you have a competitive programming background, or just the instinct to optimize relentlessly, you’ll fit the energy. If you find that exhausting, you won’t.
-   **Builders who ship.** Cognition went from idea to $73M ARR in under two years. The [ship-fast](https://jobsbyculture.com/values/ship-fast) value is not aspirational — it’s survival. If you need months of planning before writing code, look elsewhere.
-   **People who want outsized equity outcomes.** The combination of rapid valuation growth, strong ARR, and a small employee count means equity stakes could be unusually valuable. If you’re optimizing for total lifetime earnings rather than annual salary, the math here is compelling.
-   **Engineers who want to work on the frontier.** Building autonomous coding agents is one of the hardest and most consequential problems in AI right now. If you want to work on something that could fundamentally change how software is built, this is one of a handful of places where that’s the actual mission, not a slide deck aspiration.

Cognition is _not_ for people who value work-life balance, remote flexibility, or structured career progression. The 3.2 WLB score is real. The in-person San Francisco requirement is non-negotiable. And at 305 people, there aren’t established career ladders — you advance by shipping things that matter. If you want a company with clear boundaries and a 4.0+ WLB score, consider [Notion](https://jobsbyculture.com/companies/notion), [Linear](https://jobsbyculture.com/companies/linear), or [HubSpot](https://jobsbyculture.com/companies/hubspot) instead.

## Open Positions at Cognition

Cognition currently has **74 open positions** on our platform, spanning research, engineering, and go-to-market roles. Notable listings include Special Projects Engineer, Research Post-Training, Deployed Engineer, and HR Operations roles. The Riyadh posting for an HR coordinator suggests international expansion plans.

For a company growing this fast, the window to join at ~305 employees is closing. As headcount climbs post-round, equity grants tend to shrink proportionally. If the culture described in this article resonates with you, the timing is favorable.

## Frequently Asked Questions About Working at Cognition

How many employees does Cognition have in 2026?+

Cognition has approximately 305 employees as of March 2026. The company grew rapidly after acquiring Windsurf (formerly Codeium) in mid-2025, absorbing much of its 250-person team. Cognition currently has 74 open roles across engineering, research, and go-to-market functions. For comparisons across AI companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Cognition’s valuation in 2026?+

Cognition closed a $400 million Series C at a $10.2 billion valuation in September 2025. In late May 2026, the company closed a $1B+ round at a $25 billion pre-money ($26B post-money) valuation, putting it among the most valuable private AI companies alongside [Anthropic](https://jobsbyculture.com/companies/anthropic) and [OpenAI](https://jobsbyculture.com/companies/openai).

Who founded Cognition AI?+

Cognition was founded in August 2023 by Scott Wu, Steven Hao, and Walden Yan — all three are International Olympiad in Informatics (IOI) gold medalists. Scott Wu is a three-time IOI gold medalist and 2011 MathCounts champion who dropped out of Harvard to co-found Lunchclub. The early 10-person team held 10 IOI gold medals collectively.

What is the work culture like at Cognition?+

Cognition operates with what CEO Scott Wu calls an “extreme performance culture.” Employees regularly work past midnight and through weekends. The WLB score is 3.2/5. After acquiring Windsurf, Wu offered buyouts and nine months of severance to anyone unwilling to commit. The upside is working alongside IOI champions on cutting-edge AI agent technology with significant equity. See our [full Cognition culture profile](https://jobsbyculture.com/companies/cognition).

What happened with Cognition and Windsurf?+

In July 2025, Cognition acquired Windsurf after Google hired away Windsurf’s CEO and co-founder in a $2.4B acqui-hire. Cognition picked up Windsurf’s IP, $82M ARR, 350+ enterprise customers, and much of its team. The integration produced SWE-1.5, Codemaps, and embedded Devin in the Windsurf IDE, with combined enterprise ARR growing 30%+.

How much does Cognition pay software engineers?+

Public salary data is limited. Early reports suggest base salaries of $92K–$127K, but total compensation including equity is likely significantly higher. Cognition competes for talent against [Anthropic](https://jobsbyculture.com/companies/anthropic), [OpenAI](https://jobsbyculture.com/companies/openai), and [DeepMind](https://jobsbyculture.com/companies/deepmind), all offering $300K–$500K+ total comp for senior roles. The equity component at a $25B valuation could be substantial.

Is Cognition remote-friendly?+

No. Cognition is an in-person company based in San Francisco. The “extreme performance culture” relies on physical co-location — the daily all-hands, family dinners, and late-night work sessions are all in-office. Almost all open roles list San Francisco as the location. If remote work is important to you, consider companies like [GitLab](https://jobsbyculture.com/companies/gitlab), [PostHog](https://jobsbyculture.com/companies/posthog), or [Hugging Face](https://jobsbyculture.com/companies/huggingface) instead.

### Explore Cognition’s 74 Open Roles

See all of Cognition’s current openings alongside roles from 116+ other AI & tech companies — all with culture context.

[View Cognition Profile →](https://jobsbyculture.com/companies/cognition) [Browse Cognition Jobs →](https://jobsbyculture.com/jobs?company=cognition)

---

## Document: Cohere in 2026: ~1,100 Employees, $20B Valuation (Aleph Alpha Merger) & Culture

# Cohere in 2026: ~1,100 Employees, $20B Valuation (Aleph Alpha Merger) & Culture

> Working at Cohere in 2026: ~1,100 employees, ~$20B combined valuation post Aleph Alpha merger, 2.9 Glassdoor rating, $255k-$615k engineer comp, and what employees really say about the enterprise AI company founded by a Transformer co-author.

Source: https://jobsbyculture.com/blog/working-at-cohere-2026
Markdown: https://jobsbyculture.com/blog/working-at-cohere-2026.md
Last updated: 2026-07-14

---
[Cohere](https://jobsbyculture.com/companies/cohere) occupies a fascinating position in the AI landscape. Co-founded in 2019 by Aidan Gomez — a co-author of the landmark "Attention Is All You Need" paper that introduced the Transformer architecture — alongside Ivan Zhang and Nick Frosst, the company has grown into Canada's most prominent AI company. After an August 2025 round at ~$6.8B, Cohere announced in April 2026 it would merge with Germany's Aleph Alpha and close a Series E anchored by Schwarz Group's $600M commitment, with the combined entity expected to be valued at approximately $20 billion. Cohere builds enterprise-focused large language models that compete directly with OpenAI and Anthropic for business customers.

But here's what makes Cohere genuinely interesting to analyze: it has some of the lowest employee satisfaction scores of any AI company we track. With a Glassdoor rating hovering around 2.9-3.2, work-life balance at 2.7/5, and only 44-48% of employees recommending the company, Cohere represents a case study in what happens when frontier AI ambition meets organizational growing pains. The technology is real. The compensation is strong. The internal experience is... complicated.

We pulled data from Cohere's [company profile](https://jobsbyculture.com/companies/cohere), employee reviews across multiple platforms, and industry analysis to give you an unvarnished picture of what it's actually like to work there in 2026.

## Cohere at a Glance

Founded

2019

Headquarters

Toronto, Canada

Founders

Aidan Gomez, Ivan Zhang, Nick Frosst

Company Size

~1,134 employees (Dec 2025)

Valuation

~$20B (combined, post Aleph Alpha merger)

Last Round Pre-Merger

$500M at $6.8B (Aug 2025)

Glassdoor Rating

2.9 / 5.0

Work-Life Balance

2.7 / 5.0

Recommend to Friend

48%

Culture Values

[Learning](https://jobsbyculture.com/values/learning), [Eng-Driven](https://jobsbyculture.com/values/eng-driven)

Among the [118 companies in our Culture Directory](https://jobsbyculture.com/companies), Cohere's Glassdoor rating of 2.9 places it near the bottom. For context, [Anthropic](https://jobsbyculture.com/companies/anthropic) sits at 4.1, [OpenAI](https://jobsbyculture.com/companies/openai) at 3.9, and even fast-growing AI labs like [Mistral](https://jobsbyculture.com/companies/mistral) score 4.0. The gap between Cohere's external reputation (funded, credentialed, growing) and its internal reality (turbulent, politically complex, exhausting) is one of the largest we've seen in AI.

## What Makes Cohere Different

### Transformer DNA

Cohere's founding story is unusual. Aidan Gomez wasn't just inspired by Transformers — he helped invent them. As a co-author on the 2017 paper that changed everything in AI, he brings genuine research credibility that few AI startup founders can match. This matters because it attracts top-tier research talent who want to work alongside someone who was there at the beginning.

The research team at Cohere has published work on efficient models, retrieval-augmented generation, and multilingual AI that's well-regarded in the community. If you're an ML researcher who wants to publish, Cohere offers more academic freedom than most enterprise-focused AI companies.

### Enterprise-first positioning

While [OpenAI](https://jobsbyculture.com/companies/openai) chases consumer attention with ChatGPT and [Anthropic](https://jobsbyculture.com/companies/anthropic) focuses on safety research, Cohere has deliberately positioned itself as the enterprise AI company. Their models are designed for deployment in corporate environments — data privacy, compliance, on-premise hosting, and sovereignty requirements that consumer-facing AI companies don't prioritize.

This strategic choice has real implications for engineers. You're not building chatbots for millions of users. You're building retrieval systems, generation pipelines, and embedding models that Fortune 500 companies run inside their own infrastructure. The problems are different: latency at enterprise scale, multi-tenant security, and compliance frameworks that constrain your architecture decisions.

Culture Signal Cohere's enterprise-first positioning means engineers ship retrieval, generation, and embedding systems that Fortune 500 customers deploy in production, often with on-premise or sovereign-cloud requirements.

### Canadian talent advantage

With its headquarters in Toronto — home to the Vector Institute and a deep bench of ML talent — Cohere has access to a research pipeline that many SF-based companies envy. The company has expanded to San Francisco, London, New York, Montreal, Paris, and Seoul, but Toronto remains the center of gravity. Canadian compensation tends to be lower than Bay Area rates, which means Cohere can hire excellent researchers at costs that would be impossible in San Francisco.

~$20B

Combined Valuation (Apr 2026)

~1.1K

Employees (Dec 2025)

7

Global Offices

## Glassdoor Ratings: The Honest Picture

Cohere's Glassdoor profile is a red flag for anyone who filters by ratings. But the nuance matters. Let's break down what the numbers actually tell us.

Compensation & Benefits 3.8

Overall Rating 2.9

Career Opportunities 2.8

Management 2.8

Culture & Values 2.7

Work-Life Balance 2.7

The only sub-score above 3.0 is compensation (3.8), which confirms that Cohere pays well. Everything else — culture, management, work-life balance, career growth — scores below 3.0. This is unusual for a well-funded AI company and suggests systemic organizational issues rather than isolated complaints.

Important context: Cohere has grown from roughly 300 to ~1,100 employees in two years. That kind of hypergrowth creates organizational stress that shows up in reviews. Multiple re-orgs and constantly shifting priorities are hallmarks of a company growing faster than its processes can keep up — and the April 2026 announcement to merge with Aleph Alpha adds another layer of integration work ahead.

## What Employees Actually Say

### What employees love

Culture Signal Co-founder and CEO Aidan Gomez was a co-author of the original "Attention Is All You Need" Transformer paper, giving the research team a strong NLP pedigree.

Culture Signal Compensation is the highest-rated dimension on Cohere's Glassdoor (3.8/5), with frequent product releases and well-regarded retrieval and reranking models.

Culture Signal Toronto's Vector Institute and the broader Canadian ML ecosystem give Cohere access to a deep research talent pool.

Culture Signal With many systems still being built from scratch, engineers joining now have unusual scope to define new problem spaces.

The positive signals cluster around three themes: (1) the technology is genuinely frontier-level, (2) the people are brilliant, and (3) because the company is still maturing, there's enormous opportunity to own new domains. For engineers who thrive in ambiguity and want to shape rather than inherit systems, Cohere offers a blank canvas that more established companies cannot.

### What employees warn about

Culture Signal The 2.8/5 Glassdoor management score and 2.7/5 culture score are among the lowest in our directory — reviews frequently cite re-orgs and shifting priorities.

Culture Signal Leadership communication is a recurring concern in reviews, reflected in the 2.8/5 management score.

Culture Signal Competing with OpenAI and Anthropic on enterprise AI creates persistent pace pressure that surfaces in the 2.7/5 work-life balance score.

Culture Signal Hypergrowth from ~300 to ~1,100 employees in two years means engineering processes have varied between teams as the organization scales.

The negative themes paint a clear picture: Cohere is a company under enormous competitive pressure that hasn't built the organizational infrastructure to handle its growth. The AI race creates urgency that conflicts with building sustainable engineering culture. When you're competing against OpenAI and Anthropic — companies with $10B+ in funding — the temptation to move fast and break things is constant. The result, according to employees, is re-orgs that feel reactive, communication gaps between leadership and ICs, and engineering processes that vary wildly between teams.

## Compensation: The One Clear Strength

If there's one area where Cohere delivers unambiguously, it's compensation. The 3.8 rating for comp & benefits is the only above-average score in their Glassdoor profile, and the raw numbers confirm it.

$255k

IC3 Total Comp

$350k

IC4 Total Comp

$615k

IC5 Total Comp

Based on verified employee-reported compensation data, junior engineers (IC3, 0-3 years) earn approximately $255k in total comp ($170k base + equity + bonus). Mid-level engineers (IC4) jump to roughly $350k total ($200k base). Senior engineers (IC5) can reach $615k or more. These numbers are competitive with — and sometimes exceed — what [Anthropic](https://jobsbyculture.com/companies/anthropic) and [OpenAI](https://jobsbyculture.com/companies/openai) pay at equivalent levels.

The compensation structure includes base salary, equity (RSUs with standard 4-year vesting), and performance bonuses. AI Engineer roles command an 8-11% premium over general software engineering roles. For Canadian employees, the salary range is typically CAD $150k-$300k depending on level and location.

The implicit deal is clear: Cohere pays top-of-market because it knows the work environment is demanding. High comp partially compensates for the organizational turbulence and long hours. Whether that trade-off works for you depends entirely on your priorities.

## Who Should Consider Cohere

Based on our analysis of the data, Cohere is an excellent fit for:

-   **ML researchers who want to publish** — the research team has genuine academic freedom and Transformer pedigree attracts world-class collaborators.
-   **Engineers who thrive in chaos** — if you find well-defined processes boring and want to help build them from scratch, Cohere offers that opportunity.
-   **Enterprise AI specialists** — if you care about deployment, compliance, and making models work in production (not just on benchmarks), this is one of the best places to do that work.
-   **People optimizing for comp** — at IC5+, Cohere's total comp rivals the best-paying AI labs in the world.

It's less ideal for:

-   **Engineers who need stability** — if you want predictable priorities, clear career ladders, and well-established processes, Cohere's current stage will frustrate you.
-   **People who value work-life balance** — the 2.7/5 WLB score is real. This is a company competing for its life against much better-funded rivals, and the hours reflect it.
-   **Mid-career engineers seeking mentorship** — with career opportunities at 2.8/5, the growth infrastructure isn't there yet.
-   **Anyone allergic to re-orgs** — multiple restructurings per year is the current norm.

## Cohere vs. The AI Lab Landscape

How does Cohere stack up against the other AI labs you might be considering?

-   **vs. [Anthropic](https://jobsbyculture.com/companies/anthropic)** — Higher Glassdoor (4.1 vs 2.9), stronger culture scores, safety-focused research. Anthropic is a better place to work by almost every metric, but is harder to get into and less enterprise-focused.
-   **vs. [OpenAI](https://jobsbyculture.com/companies/openai)** — Similar intensity and political complexity, but OpenAI (3.9 Glassdoor) handles scale better. OpenAI offers more consumer-facing impact; Cohere offers more enterprise depth.
-   **vs. [DeepMind](https://jobsbyculture.com/companies/deepmind)** — Completely different vibe. DeepMind is research-first, Google-backed, with better WLB and career infrastructure. Cohere offers more startup ownership and enterprise focus.
-   **vs. [Mistral](https://jobsbyculture.com/companies/mistral)** — Similar stage and ambition but Mistral (4.0 Glassdoor) appears to have healthier internal culture. Mistral is more open-source; Cohere is more enterprise-private.

### Explore Cohere Jobs

See open roles at Cohere and read our full culture profile.

[Browse Cohere Jobs →](https://jobsbyculture.com/jobs?company=cohere) [View Culture Profile →](https://jobsbyculture.com/companies/cohere)

## The Bottom Line

Cohere in 2026 is a company of contradictions. The technology is genuinely frontier-level. The Transformer pedigree is real. The compensation is excellent. The enterprise positioning is smart and differentiated. But the internal experience — the re-orgs, the communication gaps, the immature processes, the work-life balance challenges — means this is emphatically not a company for everyone.

The 2.9 Glassdoor rating is a legitimate warning signal, not noise. It reflects a company growing faster than its organizational maturity can support, in an industry where competitive pressure makes sustainability feel like a luxury. Cohere is making a bet that top compensation and frontier AI work will attract talent willing to tolerate the turbulence. For some engineers, that bet pays off — particularly those who want ownership, research credibility, and enterprise-scale problems. For others, the same compensation and intellectual challenge are available at companies with healthier cultures.

The question to ask yourself: do you want to be part of building the organizational infrastructure that Cohere clearly needs, or do you want to work somewhere where it already exists? There's no wrong answer. But go in with eyes open.

## Frequently Asked Questions

How many employees does Cohere have in 2026? +

Cohere reported approximately 1,134 employees as of December 2025, with engineering as its largest discipline. The company has offices in Toronto (HQ), San Francisco, London, New York, Montreal, Paris, and Seoul.

What is Cohere's Glassdoor rating in 2026? +

Cohere has a 2.9 out of 5.0 Glassdoor rating. Work-life balance is rated 2.7/5, culture and values 2.7/5, career opportunities 2.8/5, and management 2.8/5. Compensation is the only above-average score at 3.8/5. Only 48% of employees recommend working there.

What is Cohere's valuation? +

Cohere was valued at approximately $6.8-$7 billion following its August 2025 $500M funding round. On April 24, 2026, Cohere announced a merger with Germany's Aleph Alpha and a Series E anchored by Schwarz Group's $600M commitment, with the combined company expected to be valued at approximately $20 billion when the round closes. Prior investors include Radical Ventures, Inovia Capital, Oracle, NVIDIA, and Index Ventures.

What does Cohere pay engineers? +

Cohere engineer compensation ranges from $255k total comp at junior level (IC3) to $615k+ for senior engineers (IC5). Mid-level engineers (IC4) typically earn around $350k total compensation including base salary, equity (RSUs with 4-year vesting), and performance bonus.

Who founded Cohere? +

Cohere was co-founded in 2019 by Aidan Gomez (CEO), Ivan Zhang, and Nick Frosst. Aidan Gomez is a co-author of the original "Attention Is All You Need" paper (2017) that introduced the Transformer architecture, which underpins all modern large language models.

Is Cohere a good place to work? +

Cohere is polarizing. The technology is cutting-edge, compensation is excellent (IC5+ can exceed $615k), and the Transformer pedigree attracts brilliant colleagues. But employee reviews consistently cite frequent re-orgs, leadership communication gaps, work-life balance challenges (2.7/5), and immature engineering processes. It's best suited for engineers who prioritize frontier AI work and high comp over organizational stability.

---

## Document: Working at Coinbase 2026: Remote-First, $150K-$400K Salaries & What 3.7★ on Glassdoor Really Means

# Working at Coinbase 2026: Remote-First, $150K-$400K Salaries & What 3.7★ on Glassdoor Really Means

> Coinbase is genuinely remote-first (95% of roles). $150K-$400K+ engineer comp, but a 2.9/5 work-life balance score and two 2022-2023 layoff rounds shape the culture. ~4,300 employees (Apr 2026), 138 open roles. The honest trade-offs.

Source: https://jobsbyculture.com/blog/working-at-coinbase-2026
Markdown: https://jobsbyculture.com/blog/working-at-coinbase-2026.md
Last updated: 2026-07-14

---
[Coinbase](https://jobsbyculture.com/companies/coinbase) is arguably the most polarizing employer in our [Culture Directory](https://jobsbyculture.com/companies). Founded in 2012 by Brian Armstrong and Fred Ehrsam, the company grew from a simple Bitcoin exchange into the leading cryptocurrency platform in the U.S. — publicly traded on NASDAQ (COIN), serving over 100 million verified users, and processing billions in daily volume. It went public in April 2021 during the peak of the crypto bull market. Then everything got complicated.

Two rounds of layoffs in seven months. A crypto winter that shook confidence. A CEO who is polarizing in his own right — outspoken about politics, culture, and mission in ways that attract some employees and repel others. And through all of it, Coinbase kept paying among the best in the industry and remained one of the most authentically remote-first companies in tech. That tension — between elite compensation and genuine cultural friction — is what makes Coinbase worth a deep look.

## Coinbase at a Glance

Founded

2012

Headquarters

Remote-first (no HQ since 2022)

Founders

Brian Armstrong & Fred Ehrsam

Company Size

~4,300 employees (Apr 2026)

Public / Private

NASDAQ: COIN (IPO 2021)

Glassdoor Rating

3.7 / 5.0 (1,065 reviews)

Work-Life Balance

2.9 / 5.0

Recommend to Friend

54%

Open Positions

114 roles

Culture Values

[Remote](https://jobsbyculture.com/values/remote), [Equity](https://jobsbyculture.com/values/equity), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Eng-Driven](https://jobsbyculture.com/values/eng-driven)

Let's be direct about what those numbers say. A 3.7 Glassdoor rating with only 54% recommending the company to a friend — that's significantly lower than peers like [Stripe](https://jobsbyculture.com/companies/stripe) (4.0, 80% recommend) or [Plaid](https://jobsbyculture.com/companies/plaid). The compensation rating of 4.3/5 is one of the highest in our directory, but the culture and WLB scores tell a different story. Coinbase is a company where the paycheck is excellent and the work environment is... complicated.

## The Remote-First Policy: Real, Not Performative

Before we get into the friction points, let's give credit where it's due. Coinbase's [remote-first](https://jobsbyculture.com/values/remote) policy is one of the most genuine in all of tech. When Brian Armstrong announced in May 2020 that Coinbase would become "remote-first," many companies were saying similar things. The difference is that Coinbase actually did it. They closed their San Francisco headquarters in 2022. Approximately 95% of current open roles are listed as remote. There are no mandatory office days, no "hybrid" asterisks, no "remote but you should really be in SF" undertones.

This matters because [remote work](https://jobsbyculture.com/values/remote) is the single most-filtered culture value on our platform. And so many companies use the word "remote" loosely. Coinbase doesn't. If you're evaluating remote-first employers, Coinbase belongs in the same conversation as [GitLab](https://jobsbyculture.com/companies/gitlab) and [PostHog](https://jobsbyculture.com/companies/posthog) — companies where distributed work is the actual default, not a perk that gets quietly walked back.

Culture Signal Remote-first is a documented company policy — Coinbase closed its San Francisco HQ in 2022 and lists the vast majority of new roles as remote.

## Glassdoor Ratings Breakdown

Coinbase's overall Glassdoor rating of 3.7 out of 5.0 (based on 1,065 reviews) puts it in the lower third of companies in our [directory](https://jobsbyculture.com/companies). But the sub-scores reveal a company of stark contrasts — outstanding in compensation, genuinely struggling in culture and work-life balance.

Compensation & Benefits 4.3

Overall Rating 3.7

Career Opportunities 3.4

Culture & Values 3.3

Work-Life Balance 2.9

That 2.9 WLB score is among the lowest in our directory — only a handful of companies score below 3.0. And the Culture & Values rating of 3.3 is notably low for a company that brands itself as mission-driven. These aren't outlier reviews; they're consistent patterns across hundreds of submissions. Coinbase is a company that pays you very well and then asks for a lot in return.

4.3 / 5

Comp & Benefits Rating

2.9 / 5

Work-Life Balance

54%

Recommend to Friend

## What Employees Actually Say

We analyzed recurring themes across Coinbase's employee reviews. The split is sharp — the positives are genuinely compelling, and the negatives are genuinely concerning. This isn't a "meh" company. It's a love-it-or-hate-it one.

### What employees love

Culture Signal Coinbase's 4.3/5 Glassdoor compensation rating is one of the highest in our directory — total comp packages combine base, RSUs tied to COIN stock, and bonus.

Culture Signal The remote-first policy is genuine: no headquarters, no mandatory office days, and roughly 95% of open roles listed as remote-eligible.

Culture Signal Mission alignment with crypto and on-chain finance is a consistent theme — Coinbase is the largest U.S. platform building publicly traded crypto infrastructure.

Culture Signal Company-wide "recharge weeks" are an established benefit — coordinated breaks where the whole organization goes offline simultaneously.

### What could be better

Culture Signal The 2.9/5 work-life balance Glassdoor score is one of the lowest in our directory, reflecting the always-on nature of running global crypto infrastructure.

Culture Signal Two rounds of layoffs in 2022 and 2023 cut headcount sharply (see the layoff history section below) — reviews from that period and after frequently cite trust and stability concerns.

Culture Signal CEO Brian Armstrong's "mission-focused company" policy explicitly limits political and social discussion at work — a fit for some employees and a friction point for others.

Culture Signal Career Opportunities Glassdoor score of 3.4/5 trails comparable public tech employers, and ladder transparency is a recurring concern in reviews.

The 54% recommendation rate is the number that tells the real story. Nearly half of employees wouldn't recommend Coinbase to a friend. That's a meaningful signal, and it likely reflects the combination of WLB pressure, the 2022–2023 layoffs, and a culture some reviews describe as impersonal at scale despite the strong mission statement.

## The Layoff History: Context Matters

You cannot write honestly about Coinbase as an employer without addressing the layoffs. Per Coinbase's own SEC filings, in June 2022 the company restructured approximately 18% of its workforce — roughly 1,100 employees. In January 2023, a second restructuring impacted approximately 21% of headcount (as of Dec 31, 2022) — about 950 more employees. CEO Brian Armstrong publicly took responsibility, citing over-hiring during the crypto boom.

The company stabilized and hired again selectively, reporting roughly 4,300 employees as of April 2026 (year-end 2025: ~4,951). On May 5, 2026, Coinbase announced an additional ~14% workforce reduction (about 693 employees), with execution targeted to be substantially complete in Q2 2026 — CEO Brian Armstrong cited crypto market conditions and AI-driven efficiency. Reviews from 2023 onward frequently reference team stability and trust as recurring themes.

For context, Coinbase is not alone in this. [Stripe](https://jobsbyculture.com/companies/stripe) laid off ~14% in late 2022. Many tech companies over-hired during 2020–2021 and corrected painfully. If you're considering Coinbase, it's worth asking your interviewers directly about team stability and what's changed since 2023.

## Compensation & Benefits

This is where Coinbase genuinely shines. The 4.3 Glassdoor compensation rating is earned — Coinbase consistently pays at or above market across engineering, product, and design roles. Total compensation for engineers typically ranges from $150k to $400k+, depending on level and location.

The compensation structure includes base salary, equity (RSUs tied to COIN stock), and bonus. The equity component is inherently volatile — COIN has swung from $340 at IPO to below $40 during the crypto winter and back above $200. Engineers who joined during the 2022 dip have seen substantial paper gains. Those who joined near the top watched their equity lose 80%+ of its value. This volatility is a feature or a bug depending on your risk tolerance and conviction about crypto's long-term trajectory.

Benefits include comprehensive healthcare, generous parental leave, and the company's signature recharge weeks — coordinated company-wide breaks where the entire organization goes offline simultaneously. These recharge periods are consistently cited as one of the best perks at Coinbase, precisely because they're real: you don't return to a mountain of catch-up work because everyone was off at the same time.

For a direct comparison with fintech peers, use our [comparison tool](https://jobsbyculture.com/compare) to see how Coinbase stacks up against [Stripe](https://jobsbyculture.com/companies/stripe), [Plaid](https://jobsbyculture.com/companies/plaid), or [Ramp](https://jobsbyculture.com/companies/ramp) on compensation, culture, and work-life balance.

## Engineering Culture & Tech Stack

Coinbase's engineering organization is tasked with a genuinely interesting set of problems. The product surface area spans consumer trading (the app millions of retail users interact with), institutional custody (holding billions in assets for hedge funds and corporations), Base (an L2 blockchain that Coinbase built on the OP Stack), and a growing suite of developer APIs. The user base exceeds 100 million verified accounts. The stakes are real — a bug in the wrong place can move markets or lose customer funds.

### Tech Stack

Go Ruby React TypeScript AWS Kubernetes

The stack is mature and production-hardened. Go powers most backend services, with Ruby in the older monolith. The frontend is React and TypeScript. Infrastructure runs on AWS with Kubernetes orchestration. If you're a Go engineer or have strong distributed systems experience, Coinbase is one of the more interesting places to apply those skills at scale.

### How engineering works at Coinbase

-   **[Ship-fast culture.](https://jobsbyculture.com/values/ship-fast)** Coinbase values velocity. The expectation is to move quickly, iterate, and get features in front of users. This can feel energizing if you like pace and autonomy, or exhausting if you prefer more deliberate, writing-heavy processes like [Stripe's](https://jobsbyculture.com/companies/stripe).
-   **[Engineering ownership.](https://jobsbyculture.com/values/eng-driven)** Engineers have significant autonomy over technical decisions. The org structure gives teams real authority over their domains, and there's less top-down architectural mandating than at larger companies.
-   **High-stakes reliability.** When you're custodying billions of dollars in crypto assets, production stability isn't optional. On-call rotations are taken seriously, and incidents are treated with appropriate urgency. This contributes to the WLB pressure — crypto markets run 24/7, and so does the on-call pager.
-   **Recharge cadence.** To offset the intensity, Coinbase builds company-wide recharge weeks into the annual calendar. These are genuine pauses — not "optional" time off that nobody actually takes. Multiple reviewers cite this as the single most valued perk.

## How Coinbase Compares

Coinbase occupies a distinctive niche. To help you calibrate, here's how it compares against three fintech and crypto-adjacent companies in our directory:

### [Stripe](https://jobsbyculture.com/companies/stripe) vs Coinbase

4.0 Glassdoor 80% Recommend

Stripe shares Coinbase's strong compensation (4.5/5 comp rating) and [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture, but with significantly higher employee satisfaction (80% vs 54% recommend). Stripe's writing-first, deliberate culture is the opposite of Coinbase's ship-fast ethos. Stripe is not remote-first. If you want intellectual rigor and craft over speed, Stripe is the better fit. If you want remote flexibility and crypto mission alignment, Coinbase wins.

[View Stripe Profile →](https://jobsbyculture.com/companies/stripe)

### [Plaid](https://jobsbyculture.com/companies/plaid) vs Coinbase

Fintech Infra Private

Plaid operates in adjacent fintech infrastructure space but with a more measured pace and less volatile business cycle. Plaid doesn't carry the layoff baggage that Coinbase does, and its culture tends to be described as more collaborative and less top-down. However, Plaid's compensation doesn't match Coinbase's publicly-traded equity upside potential.

[View Plaid Profile →](https://jobsbyculture.com/companies/plaid)

### [Ramp](https://jobsbyculture.com/companies/ramp) vs Coinbase

Ship-Fast Fintech

[Ramp](https://jobsbyculture.com/companies/ramp) shares Coinbase's [ship-fast](https://jobsbyculture.com/values/ship-fast) velocity but in the corporate spend management space rather than crypto. Ramp is smaller and earlier-stage, with the energy of a company still proving itself. If you want the speed without the crypto volatility (both in markets and in culture), Ramp is worth comparing. Both pay well; Coinbase has the edge in remote flexibility.

[View Ramp Profile →](https://jobsbyculture.com/companies/ramp)

## Who Thrives at Coinbase

Coinbase is a polarizing employer by design. Brian Armstrong has been explicit about wanting a "mission-focused" company where the work — building the infrastructure for a crypto-native financial system — is the thing that binds people together. That framing attracts a specific type of person and actively turns off others. Here's who tends to do well:

-   **Crypto believers.** If you genuinely believe that decentralized finance, blockchain infrastructure, and digital assets will reshape the financial system, Coinbase gives you the largest platform to work on that thesis. If you're ambivalent about crypto, the intensity won't feel worth it.
-   **Remote-first workers.** If geographic freedom is non-negotiable for you, Coinbase is one of the safest bets. 95% remote roles, no HQ, no return-to-office risk. This is a company that designed its operations around distributed work, not one that's reluctantly allowing it.
-   **High-comp-tolerant-of-intensity types.** If you're willing to trade WLB for outstanding compensation and meaningful equity upside, Coinbase delivers on that bargain more honestly than most. The 4.3 comp rating and the 2.9 WLB rating tell you exactly what you're signing up for.
-   **Autonomous engineers.** [Engineering ownership](https://jobsbyculture.com/values/eng-driven) is real. You'll have significant latitude over your technical decisions and domain. If you want tight mentorship and structured career ladders, look at [Stripe](https://jobsbyculture.com/companies/stripe) or [Databricks](https://jobsbyculture.com/companies/databricks) instead.

Coinbase is _not_ ideal for people who prioritize [work-life balance](https://jobsbyculture.com/values/wlb), who want a warm and collaborative culture, or who need clear promotion criteria. It's also not the place if you're uncomfortable with the inherent volatility of crypto — both the markets and the company's trajectory are tied to an asset class that can swing 50% in a quarter.

## Open Positions at Coinbase

Coinbase currently has **138 open positions** on our platform, the vast majority remote-eligible. Engineering, product, and design roles dominate the openings. If the remote-first policy, compensation structure, and crypto mission resonate with you, this is a company that's actively hiring after the 2022–2023 restructurings.

For full details on Coinbase's open roles, culture values, and side-by-side comparisons with other companies, visit the [Coinbase culture profile page](https://jobsbyculture.com/companies/coinbase).

## Frequently Asked Questions About Working at Coinbase

How many employees does Coinbase have in 2026?+

Coinbase reported roughly 4,300 employees as of April 2026 (year-end 2025: ~4,951). On May 5, 2026, the company announced an additional ~14% workforce reduction (about 693 employees), citing crypto market conditions and AI-driven efficiency. The company peaked at around 6,000 before two prior reductions in 2022-2023 (~18% and ~21% per SEC filings). For comparison across tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

Is Coinbase remote-friendly in 2026?+

Yes, Coinbase is one of the most genuinely remote-first companies in tech. Approximately 95% of open roles are listed as remote. The company closed its San Francisco headquarters in 2022 and has operated as a "remote-first" company since, with no mandatory office days. This is not performative — it's core to how Coinbase operates. See our full list of [remote-friendly companies](https://jobsbyculture.com/values/remote).

What is Coinbase's Glassdoor rating in 2026?+

Coinbase has a 3.7 out of 5.0 overall rating based on 1,065 employee reviews. Compensation is the standout at 4.3/5, while Work-Life Balance is the weakest at 2.9/5. Only 54% of employees recommend Coinbase to a friend — notably lower than companies like [Stripe](https://jobsbyculture.com/companies/stripe) (80%). See our [full Coinbase culture profile](https://jobsbyculture.com/companies/coinbase) for the complete breakdown.

What is the compensation like at Coinbase?+

Total compensation for engineers at Coinbase typically ranges from $150k to $400k+ depending on level. Compensation is rated 4.3/5 on employee reviews — one of the highest comp ratings in our directory. Coinbase pays in a mix of base salary, equity (RSUs tied to COIN stock), and bonus. The equity component can be volatile given crypto market cycles. See our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

Did Coinbase have layoffs?+

Yes. Per Coinbase SEC filings, in June 2022 the company restructured approximately 18% of its workforce (~1,100 employees), and in January 2023 a second restructuring impacted approximately 21% of headcount as of Dec 31, 2022 (~950 employees). CEO Brian Armstrong cited over-hiring during the crypto boom. Reviews from 2023 onward frequently reference team stability. For context on tech layoff trends, see our [layoffs and hiring tracker](https://jobsbyculture.com/blog/ai-layoffs-2026-who-is-hiring).

What is Coinbase's engineering culture like?+

Coinbase's engineering culture is fast-paced and mission-driven. The tech stack includes Go, Ruby, React, TypeScript, AWS, and Kubernetes. Engineers work on consumer trading, institutional custody, Base (an L2 blockchain), and developer APIs serving 100M+ verified users. The culture values shipping quickly and engineering ownership, but the intensity contributes to the low 2.9/5 work-life balance score. For open engineering roles, see [Coinbase jobs](https://jobsbyculture.com/jobs?company=coinbase).

### Explore Coinbase's 138 open roles

See every open position at Coinbase alongside jobs from Stripe, Plaid, Ramp, and 80+ other companies — all with culture context.

[View Coinbase Jobs →](https://jobsbyculture.com/jobs?company=coinbase) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at CoreWeave in 2026: Glassdoor Reviews, Culture & Careers

# Working at CoreWeave in 2026: Glassdoor Reviews, Culture & Careers

> CoreWeave has ~1,800 employees and a 3.6 Glassdoor rating. NVIDIA-backed GPU cloud growing fast — but is it a good place to work? Real employee reviews + open roles.

Source: https://jobsbyculture.com/blog/working-at-coreweave-2026
Markdown: https://jobsbyculture.com/blog/working-at-coreweave-2026.md
Last updated: 2026-07-14

---
[CoreWeave](https://jobsbyculture.com/companies/coreweave) is one of the most consequential infrastructure companies of the AI era. Founded in 2017 (originally as Atlantic Crypto, a cryptocurrency mining operation), it pivoted to GPU cloud computing and has since become a go-to infrastructure provider for companies training and deploying large AI models. NVIDIA invested $2 billion in CoreWeave at $87.20/share in January 2026, the company operates 43 data centers with ~850 megawatts of active power, and runs roughly 250,000 NVIDIA GPUs.

CoreWeave went public on NASDAQ under the ticker CRWV in March 2025 at $40 per share, raising $1.5 billion in what was the largest U.S. tech IPO since 2021. As of March 2026 the stock traded around $81, putting the market cap at roughly $43 billion. That makes it one of the biggest tech IPO success stories in recent memory — and one of the most interesting employers in the AI infrastructure space.

But behind the NVIDIA halo and the eye-catching valuation, what is it actually like to work there? We analyzed Glassdoor employee reviews, culture data from our [Culture Directory](https://jobsbyculture.com/companies), and compensation signals to give you an honest picture of CoreWeave as an employer in 2026.

## CoreWeave at a Glance

Founded

2017

Headquarters

Roseland, NJ

Employees

~1,800

Market Cap (CRWV)

~$43B (Mar 2026)

Glassdoor Rating

3.6 / 5.0 (~64 reviews)

Work-Life Balance

3.2 / 5.0

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Equity](https://jobsbyculture.com/values/equity), [Many Hats](https://jobsbyculture.com/values/many-hats)

CEO

Michael Intrator (65% approval)

Open Positions

[278 roles](https://jobsbyculture.com/jobs?company=coreweave)

## What Makes CoreWeave's Culture Different

CoreWeave occupies a unique position in the AI ecosystem. It's not building AI models — it's building the infrastructure that AI models run on. That distinction shapes everything about the culture, from the types of problems employees solve to the pace at which the company operates.

The company's origin story sets the tone. Michael Intrator, Brian Venturo, Brannin McBee, and Peter Salanki founded CoreWeave (as Atlantic Crypto) in 2017 as a cryptocurrency mining operation. When they saw the GPU compute opportunity in AI, they pivoted hard and fast — and that scrappy, move-quickly DNA still runs through the organization. Reviews and coverage describe a company that values [shipping fast](https://jobsbyculture.com/values/ship-fast) over polishing processes, and where an [engineering-driven](https://jobsbyculture.com/values/eng-driven) mentality means technical people have significant influence over decisions.

~250,000

NVIDIA GPUs Across 43 Data Centers

The NVIDIA backing is more than just capital — it's a structural advantage. With $2B in equity investment from NVIDIA in January 2026 and priority access to GPU allocation, CoreWeave has a moat that few independent cloud providers can match. For employees, this translates to a sense of mission and momentum: you're not just building cloud infrastructure, you're building the infrastructure that much of the AI industry depends on.

The flip side of this high-growth, high-intensity culture is that CoreWeave's organizational processes haven't always kept pace with its technical ambitions. The company grew from roughly 880 employees to 1,800 in a single year. That kind of [hypergrowth](https://jobsbyculture.com/values/many-hats) creates genuine opportunities for ownership and career advancement, but it also creates ambiguity, shifting priorities, and the occasional process gap. Whether that excites or exhausts you says a lot about whether CoreWeave is the right fit.

## Glassdoor Ratings Breakdown

CoreWeave's overall Glassdoor rating sits at 3.6 out of 5.0 based on approximately 64 employee reviews. Among the [118 companies in our Culture Directory](https://jobsbyculture.com/companies), that places CoreWeave in the bottom third — the median across our database is 4.1, and the highest is [Perplexity](https://jobsbyculture.com/companies/perplexity) at 4.7.

A 3.6 doesn't mean CoreWeave is a bad place to work. It means it's a polarizing one. You'll see five-star reviews praising the mission and the [equity](https://jobsbyculture.com/values/equity) upside right next to two-star reviews citing burnout and process chaos. That polarization is common across hypergrowth infrastructure companies — and it makes the sub-ratings more informative than the headline number.

Overall Rating

3.6

Compensation & Benefits

3.8

Career Opportunities

3.4

Work-Life Balance

3.2

Culture & Values

3.1

Senior Management

3.0

62% Recommend to
a Friend

65% CEO Approval
(Michael Intrator)

The pattern here is telling. Compensation & Benefits (3.8) is the strongest sub-rating, driven by the post-IPO equity story. But Culture & Values (3.1) and Senior Management (3.0) are notably low — signals that the organizational infrastructure hasn't kept pace with the technical infrastructure. For comparison, [Anthropic](https://jobsbyculture.com/companies/anthropic) scores a 4.5 on Culture & Values and a 4.2 on Senior Management. CoreWeave is operating at a different maturity level, and the Glassdoor data reflects that honestly.

The Work-Life Balance score of 3.2 places CoreWeave 27th out of 118 companies in our [WLB rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026). Only [Figma](https://jobsbyculture.com/companies/figma) (3.1) and [Scale AI](https://jobsbyculture.com/companies/scale) (2.7) score lower.

## What Employees Actually Say

The most useful data in any Glassdoor profile isn't the aggregate numbers — it's the patterns that emerge from individual reviews. Here's what CoreWeave employees consistently highlight, both positive and negative.

### What employees love

Culture Signal NVIDIA invested $2B at $87.20/share in January 2026 and currently owns about 11% of the company — a structural endorsement few independent clouds can claim.

Culture Signal Compensation is the highest-rated dimension on CoreWeave's Glassdoor (3.8/5), boosted by post-IPO equity appreciation.

Culture Signal Engineers work on real distributed systems and GPU infrastructure problems at hyperscaler-adjacent scale.

Culture Signal Rapid headcount growth (from ~880 to ~1,800 in a year) creates abundant career opportunities and scope for ownership.

Culture Signal CoreWeave operates 43 data centers with roughly 850 MW of active power and ~250,000 NVIDIA GPUs — among the largest dedicated GPU fleets outside the hyperscalers.

### What could be better

Culture Signal The 3.2/5 work-life balance score reflects the always-on nature of infrastructure work — incidents don't respect a 9-to-5 schedule.

Culture Signal Culture and values rated 3.1/5 on Glassdoor — processes have not always kept pace with rapid scaling.

Culture Signal Senior management is rated 3.0/5 — one of the lower scores in our directory, with consistency varying by team.

Culture Signal Doubling headcount in a year (from ~880 to ~1,800) creates real adjustment challenges as ownership and process catch up.

The pattern is clear: employees who thrive at CoreWeave love the technical challenges, the financial upside, and the proximity to the AI infrastructure frontier. Employees who struggle cite the organizational growing pains that come with doubling headcount in a year while trying to maintain startup speed.

## Compensation & Benefits

Compensation is one of CoreWeave's strongest selling points, and the post-IPO equity story is the standout draw. The 3.8 Glassdoor score for Comp & Benefits is the highest sub-rating in CoreWeave's profile, and for good reason.

Engineers, infrastructure specialists, and data center operations staff report competitive base salaries. But it's the RSU grants that change the calculus. With the CRWV stock up over 200% since IPO, employees who joined pre-IPO have seen their paper equity become liquid and multiply in value. For candidates evaluating offers, CoreWeave's [equity](https://jobsbyculture.com/values/equity) isn't a lottery ticket — it's a stake in a company with NVIDIA backing, dominant GPU supply agreements, and a clear position in the fastest-growing segment of cloud infrastructure.

Culture Signal CRWV stock has traded as high as $187 since its $40 March 2025 IPO; the NVIDIA partnership gives the company structural GPU-supply tailwinds.

For senior engineers and managers, total compensation packages are competitive with those at major cloud providers like AWS, Google Cloud, and Azure — with the added upside of a growth stock that many analysts believe still has room to run. Benefits include standard tech-company offerings: comprehensive health coverage, 401(k), and PTO.

The trade-off, as the WLB section makes clear, is that you may be earning that equity with your evenings and weekends. Whether that calculus works for you depends on your career stage, financial goals, and tolerance for intensity.

## Engineering Culture & Tech Stack

If you're an infrastructure engineer, CoreWeave's technical environment is genuinely compelling. The company operates at a scale that only the hyperscalers (AWS, Google Cloud, Azure) can match — but with the agility and focus of a much smaller organization. You're not one of 50,000 engineers maintaining a vast cloud empire. You're part of a ~1,800-person team building a purpose-built GPU cloud from the ground up.

Category

Details

Core Languages

Go, Python, CUDA

Infrastructure

Kubernetes, Terraform, 43 data centers, ~250,000 NVIDIA GPUs

Platform

Kubernetes-native cloud purpose-built for GPU-accelerated workloads

Focus Areas

AI/ML inference & training, distributed systems, GPU orchestration, HPC

The [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture means technical decisions are made by the people closest to the problems. CoreWeave builds on Kubernetes-native infrastructure with Go and Python as the primary languages, plus CUDA for GPU-specific optimization. The problems are genuinely hard: orchestrating hundreds of thousands of GPUs across 43 data centers, managing AI workloads that consume millions of dollars in compute per training run, and building cloud-native abstractions that make this complexity accessible to customers.

For engineers coming from traditional cloud providers, the difference in pace is notable. CoreWeave's [ship-fast](https://jobsbyculture.com/values/ship-fast) culture means that decisions get made quickly and code gets deployed rapidly. This is exciting if you thrive in high-velocity environments, and stressful if you prefer more deliberate engineering processes. The company is still building its SRE and incident response practices, so expect some on-call intensity — particularly for teams managing production GPU infrastructure.

If you're interested in [remote-friendly AI infrastructure roles](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026), CoreWeave has positions across multiple locations including New York, San Francisco, Sunnyvale, and Bellevue, with some remote flexibility depending on the team.

## Who Thrives at CoreWeave

CoreWeave is not the right fit for everyone, and that's fine. Based on the patterns in employee reviews and our culture analysis, here's who tends to thrive — and who should look elsewhere.

### Great Fit If...

-   You love GPU infrastructure, distributed systems, and cloud-native engineering at massive scale
-   Financial upside matters — the post-IPO [equity](https://jobsbyculture.com/values/equity) story is real and substantial
-   You're comfortable with ambiguity and want to shape how things work, not just follow established playbooks
-   The AI infrastructure mission — "building the backbone of AI" — genuinely excites you
-   You've thrived at hypergrowth companies before and know what doubling headcount feels like

### Think Twice If...

-   [Work-life balance](https://jobsbyculture.com/values/wlb) is your non-negotiable top priority (3.2/5 WLB score)
-   You need well-defined career ladders and clear promotion criteria
-   You prefer mature processes and organizational clarity over startup speed
-   You want a [flat](https://jobsbyculture.com/values/flat), consensus-driven culture — CoreWeave moves top-down and fast
-   You do your best work in low-intensity, predictable environments

For candidates who prioritize [work-life balance](https://jobsbyculture.com/values/wlb), companies like [Vast AI](https://jobsbyculture.com/companies/vast) (WLB 4.5), [Linear](https://jobsbyculture.com/companies/linear) (WLB 4.4), or [Pinecone](https://jobsbyculture.com/companies/pinecone) (WLB 4.3) offer significantly better scores. If you want meaningful infrastructure work with stronger culture scores, [Databricks](https://jobsbyculture.com/companies/databricks) (Glassdoor 4.1, WLB 3.9) and [Together AI](https://jobsbyculture.com/companies/together) (Glassdoor 4.1, WLB 3.8) are worth exploring. Use our [comparison tool](https://jobsbyculture.com/compare) to see how CoreWeave stacks up against any company in our database.

## Open Positions at CoreWeave

CoreWeave currently has [286 open positions](https://jobsbyculture.com/jobs?company=coreweave) across engineering, infrastructure, sales, and corporate functions. The company is hiring aggressively as it continues to scale its GPU cloud operations and expand its data center footprint.

Key hiring areas include backend software engineering (cloud platform), AI solutions engineering, data center operations, GPU infrastructure, and enterprise sales. Roles are distributed across CoreWeave's offices in Livingston NJ, New York, San Francisco, Sunnyvale, Bellevue, and Dallas, with some remote flexibility. See how CoreWeave's WLB compares in our [SF](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-san-francisco-2026) and [NYC](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-new-york-2026) work-life balance rankings.

For the full picture on CoreWeave's culture, Glassdoor ratings, and open roles, visit our [CoreWeave company profile](https://jobsbyculture.com/companies/coreweave).

## Frequently Asked Questions About Working at CoreWeave

What is CoreWeave's Glassdoor rating?+

CoreWeave has a 3.6 out of 5.0 Glassdoor rating with a work-life balance score of 3.2/5. The lower WLB score reflects the intense pace of scaling GPU cloud infrastructure at one of the fastest-growing companies in AI. See our full [CoreWeave culture profile](https://jobsbyculture.com/companies/coreweave) for the breakdown.

How many employees does CoreWeave have?+

CoreWeave has approximately 1,800 employees as of 2026. The company has grown rapidly, backed by NVIDIA, and continues to hire aggressively across engineering, infrastructure, and operations. See our [AI company employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What does CoreWeave do?+

CoreWeave is a GPU cloud infrastructure provider purpose-built for AI workloads. Backed by NVIDIA, they offer specialized cloud computing services optimized for machine learning training and inference, competing with hyperscalers like AWS, Azure, and GCP.

Is CoreWeave a good place to work?+

CoreWeave offers a fast-paced environment with strong equity upside and the chance to work on critical AI infrastructure. However, the 3.2 WLB score and intense hours mean it's best suited for people who thrive in high-growth, high-intensity environments. If work-life balance is your priority, see our [best AI companies for WLB rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026).

### Browse all 13,906 jobs from 118 companies

Find your culture fit across AI and tech — filter by values, role, or company.

[Browse All Jobs →](https://jobsbyculture.com/jobs) [CoreWeave Profile →](https://jobsbyculture.com/companies/coreweave)

---

## Document: Crusoe in 2026: 1,200 Employees, $10B Valuation, Salary & Culture

# Crusoe in 2026: 1,200 Employees, $10B Valuation, Salary & Culture

> Working at Crusoe in 2026: 1,200 employees, $10B valuation, 3.4 Glassdoor rating, $197k-$330k+ engineer comp, and what it

Source: https://jobsbyculture.com/blog/working-at-crusoe-2026
Markdown: https://jobsbyculture.com/blog/working-at-crusoe-2026.md
Last updated: 2026-07-14

---
[Crusoe](https://jobsbyculture.com/companies/crusoe) occupies a unique position in the AI landscape. While most AI companies are building models or applications, Crusoe builds the physical infrastructure that makes AI possible — data centers powered by clean and renewable energy. Founded in 2018 by Chase Lochmiller and Cully Cavness, the company started with an audacious idea: deploy modular data centers at remote oil fields to convert wasted methane flares into useful compute.

That idea turned into a $10 billion company. Crusoe raised $1.375 billion in its Series E in October 2025, and its total funding now exceeds $3.9 billion. Investors include NVIDIA, Founders Fund, Salesforce Ventures, Mubadala Capital, and Franklin Templeton. The company is building OpenAI's Stargate data center — a $12 billion, 1.2-gigawatt campus in Abilene, Texas that represents one of the largest AI infrastructure projects in history.

But behind the headlines and the megawatt numbers, what is it actually like to work there? We dug into employee reviews, compensation data, and the company's trajectory to give you an honest picture of Crusoe as an employer in 2026.

## Crusoe at a Glance

Founded

2018

Headquarters

Denver, CO

Founders

Chase Lochmiller & Cully Cavness

Company Size

~1,200 employees

Valuation

~$10B (Series E, Oct 2025)

Revenue (2025)

~$998M (262% YoY growth)

Glassdoor

3.4 / 5.0

Recommend

58%

Culture Values

[Ship Fast](https://jobsbyculture.com/values/ship-fast) · [Social Impact](https://jobsbyculture.com/values/social-impact) · [Eng-Driven](https://jobsbyculture.com/values/eng-driven) · [Strong Equity](https://jobsbyculture.com/values/equity)

$10B

Valuation

45+

GW power pipeline

56%

Headcount growth (YoY)

## The Origin Story: From Flared Gas to Stargate

Most AI infrastructure companies start with chips or cloud software. Crusoe started with methane. Chase Lochmiller — who holds degrees from MIT (Mathematics and Physics) and Stanford (Computer Science, AI focus) — and Cully Cavness recognized that oil fields across the American West were burning off billions of cubic feet of natural gas because there was no pipeline infrastructure to capture it. That wasted energy could power compute.

Crusoe's Digital Flare Mitigation (DFM) technology deployed modular data centers directly at well sites, converting gas that would otherwise be flared into electricity for GPU workloads. According to Crusoe's own impact disclosures, US-based DFM operations have avoided over 680,000 metric tons of greenhouse gas emissions, and DFM systems have repurposed more than 21 billion cubic feet of stranded natural gas between 2018 and 2025.

But DFM was the foundation, not the ceiling. As AI compute demand exploded in 2023–2025, Crusoe pivoted from small modular deployments to gigawatt-scale data centers. The company is now building the first phase of OpenAI's Stargate campus in Abilene, Texas — 1.2 gigawatts of capacity, live just one year after construction began. Crusoe's power pipeline has grown over 4x and now exceeds 45 gigawatts. Named a Fast Company Most Innovative Company for 2026, Crusoe has transformed from a climate-tech startup into a vertically integrated AI factory.

## Employee Ratings: What the Numbers Say

Crusoe's Glassdoor profile tells a story of a company in transition. With a 3.4 overall rating from approximately 40 reviews, it sits below the tech industry average — but the context matters. Companies scaling this fast (56% headcount growth in a single year) almost always take a hit on employee satisfaction as processes struggle to keep up with hiring.

Overall 3.4

Compensation & Benefits 3.8

Culture & Values 3.5

Career Opportunities 3.4

Work-Life Balance 3.3

The 3.8 compensation and benefits score is the clear bright spot — employees acknowledge they're being paid well. But the 3.3 work-life balance score signals what multiple reviews describe: this is a demanding place with long hours and high expectations. The 58% recommendation rate and 63% positive business outlook suggest employees see the company's potential but experience real friction day-to-day.

## Compensation: What Crusoe Actually Pays

Crusoe's compensation is competitive for a growth-stage infrastructure company, though it doesn't reach the levels of frontier AI labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai). Based on verified employee-reported compensation data:

### Software Engineer Total Compensation

-   **Median total compensation:** ~$330K/year (base + equity + bonus)
-   **Range:** $197K – $330K+ for most levels
-   **Senior/Staff:** Up to $570K in total compensation
-   **Equity:** RSUs and stock options broadly offered, with meaningful upside at the current $10B valuation

The equity component is particularly interesting. At $10B, Crusoe is valued richly but still private — meaning early and mid-stage employees could see significant returns if the company goes public or gets acquired. Revenue growing from $276M (2024) to a projected $2B (2026) suggests the equity story has real substance, not just paper value.

For context, here's how Crusoe's median engineer comp stacks up against other companies in our [directory](https://jobsbyculture.com/companies):

### [Crusoe](https://jobsbyculture.com/companies/crusoe)

$330K median TC $10B valuation

Competitive with mid-tier AI infrastructure companies. Below frontier AI labs ($400K–$550K median) but strong equity upside at a company growing revenue 262% year-over-year. Benefits include 401(k) matching, comprehensive health coverage, and equity grants.

What employees say Strong compensation and equity with startup energy and rapidly growing resources. Front-row seat to the AI compute revolution.

[View full Crusoe profile →](https://jobsbyculture.com/companies/crusoe)

## Culture: The Builder's Bargain

Working at Crusoe means accepting a specific trade-off that employees describe in remarkably consistent terms: you get an extraordinary mission, cutting-edge problems, and real ownership — but you also get the chaos, ambiguity, and intensity that come with a company doubling in size while building physical infrastructure on aggressive timelines.

### What employees love

Pro Purpose-driven and impactful work — computing aligned with climate goals by repurposing wasted energy for AI infrastructure. The sustainability-focused mission is a primary motivator.

Pro Not a lot of bureaucracy or politics, collaborative and fun working environment. Opportunities for rapid advancement and skill growth including mentorship, training, and clear upward mobility.

The mission resonance is genuine. Crusoe isn't slapping a sustainability label on a cloud business — the company's entire origin story is about reducing emissions, and the DFM technology has verifiable impact (680,000+ metric tons of CO2 avoided). For engineers who care about [working on climate-relevant problems](https://jobsbyculture.com/values/social-impact), that matters.

### What employees find difficult

Con Abrupt reorganizations and leadership inconsistencies. Some employees report favoritism and poor communication around major organizational changes.

Con High-pressure workloads, instability, and rapid scaling that creates process gaps and shifting priorities. Not for people who want strict 9-to-5.

The pattern in negative reviews is clear: Crusoe has scaling pains. When a company goes from 630 employees to 1,200+ in 18 months while simultaneously building gigawatt-scale data centers, organizational structure struggles to keep up. Multiple reviewers mention leadership inconsistencies and abrupt changes — the kind of growing pains that are common at this stage but still genuinely disruptive for the people living through them.

## Engineering & Technical Environment

Crusoe's engineering organization is unusual because it spans the full stack of AI infrastructure — from the physical (energy procurement, power systems, cooling) to the digital (GPU virtualization, cloud orchestration, ML workloads). This vertical integration is the company's core competitive advantage and also what makes the engineering challenges distinctive.

### Key technical domains

GPU Virtualization Data Center Design Power Systems Cloud Infrastructure Kubernetes Networking NVIDIA HGX Renewable Energy

Engineers at Crusoe work on problems that don't exist at most software companies. Designing cooling systems for GPU clusters in Texas heat. Optimizing power distribution across renewable sources. Building cloud orchestration layers that compete with AWS and GCP for AI workloads. The 1.2-gigawatt Abilene campus alone represents an engineering challenge at the scale of a small power grid.

For engineers who want to work at the intersection of hardware, software, and energy — the kind of full-stack infrastructure thinking that [engineering-driven companies](https://jobsbyculture.com/values/eng-driven) value — Crusoe offers problems that are genuinely hard to find elsewhere. The flip side is that the scope can be overwhelming, and the company's ambition sometimes outpaces its organizational capacity to execute smoothly.

## Growth Trajectory & Stability

Crusoe's trajectory from 2024 to 2026 has been extraordinary by any measure:

-   **Revenue:** $276M (2024) → $998M (2025) → projected $2B (2026)
-   **Headcount:** 633 (2024) → 1,128 (2025) → ~1,235 (Q1 2026)
-   **Funding:** $3.9B+ in total equity raised, plus $300M debt round (Feb 2026)
-   **Flagship project:** Stargate for OpenAI, a $12B data center campus

Chase Lochmiller was named one of TIME's 100 Most Influential People in AI in 2025, and Goldman Sachs listed him among the 100 Most Intriguing Entrepreneurs. The company's customers include OpenAI — about as strong a validation signal as exists in AI infrastructure.

The stability question is real, though. Some employees report organizational churn and unexpected restructurings. Crusoe is in the capital-intensive phase of building physical assets at scale, which creates different risks than a pure software company. If AI compute demand cools or major projects face delays, the high fixed costs of data center construction become a pressure point. For now, demand for AI compute continues to outstrip supply, which works heavily in Crusoe's favor.

## How Crusoe Compares

Crusoe occupies a niche that's hard to directly compare. It's not a pure cloud provider (like AWS or GCP), not a chip company (like NVIDIA), and not an AI lab (like [Anthropic](https://jobsbyculture.com/companies/anthropic)). The closest comparisons are other AI infrastructure builders:

### [Lambda](https://jobsbyculture.com/companies/lambda)

GPU Cloud

Lambda offers GPU cloud for AI training and inference. Similar space but Lambda focuses on the software/cloud layer while Crusoe is vertically integrated from energy procurement through GPU virtualization. Lambda is smaller (~500 employees) and less capital-intensive.

[View Lambda profile →](https://jobsbyculture.com/companies/lambda)

### [Cerebras](https://jobsbyculture.com/companies/cerebras)

AI Chips

Cerebras builds custom AI accelerators (the WSE chip). They're also in the AI infrastructure stack but at the silicon level rather than the data center level. Different engineering challenges, similar mission-driven intensity.

[View Cerebras profile →](https://jobsbyculture.com/companies/cerebras)

## Who Thrives at Crusoe

Based on employee reviews and the company's culture signals, Crusoe is the right fit for:

-   **Infrastructure builders.** Engineers who want to work on physical + digital systems at massive scale. If you're excited by the idea of building a 1.2-gigawatt data center campus from scratch, this is your playground. People who prefer pure software with clear abstractions may find the hardware dependencies frustrating.
-   **Mission-driven people.** The clean energy angle is real, not marketing. Crusoe has prevented hundreds of thousands of metric tons of emissions. If [climate impact](https://jobsbyculture.com/values/social-impact) matters to you beyond a company values page, this is one of the few places where AI work directly reduces emissions.
-   **High-growth tolerant.** Crusoe is doubling revenue and headcount simultaneously. That means shifting priorities, evolving org structures, and sometimes unclear ownership. If you need stable processes and well-defined roles, this isn't the stage for you. If you can [ship fast](https://jobsbyculture.com/values/ship-fast) in ambiguity, the growth creates outsized career opportunities.
-   **Equity-motivated.** At $10B with a path toward $2B revenue, the equity story is compelling. If you're optimizing for total compensation upside over the next 3–5 years, the pre-IPO equity could be worth the intensity trade-off.

Crusoe is _not_ ideal for people who prioritize [work-life balance](https://jobsbyculture.com/values/wlb) (3.3/5 rating), want a mature and stable organizational environment, or prefer remote-first culture. The work is demanding, the pace is relentless, and the company is headquartered in Denver with a strong in-office expectation. If WLB is your top priority, consider companies like [Notion](https://jobsbyculture.com/companies/notion), [Linear](https://jobsbyculture.com/companies/linear), or [HubSpot](https://jobsbyculture.com/companies/hubspot) instead.

## Open Positions at Crusoe

Crusoe is actively hiring across engineering, operations, energy, and business roles. With the Stargate project ramping and new data center sites being developed, the company's hiring needs span software infrastructure, power engineering, site operations, and cloud platform development.

For full details on Crusoe's open roles, culture values, and side-by-side comparisons with other companies, visit the [Crusoe culture profile page](https://jobsbyculture.com/companies/crusoe) or [browse current openings](https://jobsbyculture.com/jobs?company=crusoe).

## Frequently Asked Questions About Working at Crusoe

How many employees does Crusoe have in 2026?+

Crusoe has approximately 1,200 employees as of mid-2026, up from roughly 630 in 2024. The company grew 56% year-over-year in 2025, driven by massive investment in AI data center infrastructure and the Stargate project for OpenAI. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Crusoe's Glassdoor rating in 2026?+

Crusoe has a 3.4 out of 5.0 overall Glassdoor rating based on approximately 40 reviews. Compensation and benefits is the highest-rated category at 3.8/5, while work-life balance is the lowest at 3.3/5. About 58% of employees recommend working there, and 63% have a positive business outlook. See our [full Crusoe culture profile](https://jobsbyculture.com/companies/crusoe) for the complete breakdown.

What is the salary for engineers at Crusoe?+

Software engineer total compensation at Crusoe ranges from approximately $197k to $330k+, with a median total compensation of around $330k including base salary, equity, and bonus. Senior and staff-level engineers can earn up to $570k in total compensation. The equity component is particularly notable given the company's $10B valuation and strong revenue growth trajectory.

What does Crusoe actually do?+

Crusoe is a vertically integrated AI infrastructure company. It builds and operates GPU-powered data centers using clean and renewable energy sources. The company originally invented Digital Flare Mitigation (DFM) technology to convert wasted methane flares from oil fields into compute power. It now builds gigawatt-scale data centers, including OpenAI's Stargate project — a $12 billion campus in Abilene, Texas.

What is Crusoe's valuation and funding?+

Crusoe is valued at approximately $10 billion following its $1.375 billion Series E in October 2025, co-led by Valor Equity Partners and Mubadala Capital. Investors include NVIDIA, Founders Fund, Salesforce Ventures, and Franklin Templeton. The company has raised over $3.9 billion in total equity funding, with an additional $300M debt round in February 2026.

Is Crusoe a good company to work for?+

Crusoe offers competitive compensation ($330K median engineer TC), a genuine clean energy mission, and exposure to cutting-edge AI infrastructure at unprecedented scale. However, the 3.4 Glassdoor rating and 58% recommendation rate reflect real trade-offs: employees report rapid scaling chaos, demanding workloads, organizational churn, and some leadership inconsistencies. It's best suited for [builders who thrive in high-growth ambiguity](https://jobsbyculture.com/values/ship-fast) and are motivated by equity upside and mission impact.

### Explore Crusoe & 116+ AI/tech companies

See Crusoe's open roles alongside jobs from companies like Anthropic, OpenAI, Stripe, and more — all with culture context.

[View Crusoe Profile →](https://jobsbyculture.com/companies/crusoe) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Cursor (Anysphere) in 2026: ~300 Employees, $2B ARR, Salary & Culture

# Working at Cursor (Anysphere) in 2026: ~300 Employees, $2B ARR, Salary & Culture

> Working at Cursor in 2026: roughly 300 employees, $2B ARR, 4.7 Glassdoor rating, $808K-$1.1M+ engineer comp, and what the in-person, ship-fast culture is really like inside the hottest AI startup.

Source: https://jobsbyculture.com/blog/working-at-cursor-2026
Markdown: https://jobsbyculture.com/blog/working-at-cursor-2026.md
Last updated: 2026-07-14

---
[Cursor](https://jobsbyculture.com/companies/cursor) is the most extraordinary startup story in recent memory. Built by Anysphere — a company founded in 2022 by four MIT graduates (Michael Truell, Sualeh Asif, Aman Sanger, and Arvid Lunnemark) — Cursor is an AI-powered code editor forked from VS Code that has become the default tool for a generation of developers. It reached $2 billion in annual recurring revenue by early 2026, making it one of the fastest B2B companies to hit $1B ARR in history. Headcount has scaled from a tiny founding team to several hundred employees while maintaining its lean engineering DNA.

That last number is the one that makes people do a double take. Fifty people. $2B ARR. That is likely the highest revenue-per-employee ratio in the history of software. It tells you everything you need to know about the kind of company Cursor is: small, intense, and operating at a level of leverage that most companies can only dream about. Whether you're evaluating an offer, preparing for an interview, or just curious about the culture, here's what you need to know about working at Cursor in 2026.

## Cursor at a Glance

Founded

2022

Headquarters

North Beach, San Francisco (in-person only)

Founders

Michael Truell (CEO), Sualeh Asif, Aman Sanger, Arvid Lunnemark

Company Size

~300+ (not publicly disclosed)

Revenue

$2B ARR (Mar 2026)

Valuation

$29.3B (Series D, Nov 2025)

Total Funding

$3.4B+

Glassdoor Rating

~4.7 / 5.0 (limited reviews)

Work-Life Balance

4.8 / 5.0

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Equity](https://jobsbyculture.com/values/equity), [Flat](https://jobsbyculture.com/values/flat), [Many Hats](https://jobsbyculture.com/values/many-hats), [Product Impact](https://jobsbyculture.com/values/product-impact)

Cursor occupies a unique position among the companies in our [Culture Directory](https://jobsbyculture.com/companies). It's a remarkably lean team relative to its impact, with a workforce that's grown from a tiny founding group into the low hundreds while continuing to serve millions of developers. The culture is pure [engineering-driven](https://jobsbyculture.com/values/eng-driven) product development, with minimal layers and a [flat structure](https://jobsbyculture.com/values/flat) where everyone ships.

## What Makes Cursor's Culture Different

Cursor's culture can be summarized in a single word: leverage. Everything about how the company operates is designed to maximize the impact of each person. There are no product managers. No dedicated project managers. No layers of approval. Engineers talk directly to users, identify problems, build solutions, and ship them — often in the same day. In March 2026 alone, the team shipped five major releases. In April 2026, they launched Cursor 3, an entirely new agent-first workspace that reimagined how developers interact with AI.

The physical environment reflects this ethos. Cursor works out of an office in North Beach, San Francisco, and everyone works in-person. The office is famously no-shoes — you take them off at the door. It sounds like a quirk, but people who've been there say it captures something real: the space feels like a shared living room where a group of friends happens to be building one of the most important developer tools of the decade. There's an intimacy and informality that you simply don't get at larger companies.

The [shipping speed](https://jobsbyculture.com/values/ship-fast) is extraordinary and deliberate. The founders have talked publicly about optimizing for iteration velocity above almost everything else. The reasoning is straightforward: in a market moving as fast as AI-powered development tools, the company that learns fastest wins. Cursor's small size isn't a limitation — it's a strategic advantage. Fewer people means fewer coordination costs, faster decisions, and tighter feedback loops between writing code and seeing it in the hands of users.

Culture Signal Glassdoor reviews consistently describe the team as elite but low-ego, with leadership (including CEO Michael Truell) still actively writing code.

The founders themselves are deeply technical and still write code daily. Michael Truell, the CEO, is described by employees as hands-on and ego-free. This matters because it sets the cultural tone: leadership at Cursor doesn't mean managing — it means building. There's no separation between "the people who decide" and "the people who execute." Everyone is doing both, all the time.

## Glassdoor Ratings Breakdown

Cursor's Glassdoor rating sits at approximately 4.7 out of 5.0, with an important caveat: the review count is small relative to large public employers. That said, the scores are remarkably strong across every category, painting a picture of a company where people genuinely love what they're building and who they're building it with.

Here's how each sub-category breaks down:

Diversity & Inclusion 5.0

Work-Life Balance 4.8

Culture & Values 4.7

Overall Rating 4.7

Compensation & Benefits 4.2

The 4.8 Work-Life Balance score might surprise people given Cursor's reputation for intensity. It likely reflects the fact that people at Cursor _choose_ to work intensely on something they're deeply excited about, rather than being forced into long hours by dysfunctional processes. When the team is small relative to the user base, the work itself is energizing. That said, the intensity is real — more on that in the cons section below.

The 4.2 Compensation & Benefits score is the relative weak point, but this is misleading when you look at the actual numbers. Base salaries and cash comp may not be the highest in the market, but the [equity](https://jobsbyculture.com/values/equity) component is staggering given the company's trajectory. The 4.2 likely reflects benefits infrastructure (health, perks, etc.) still catching up to the company's explosive growth.

## What Employees Actually Say

We analyzed available reviews and public statements from current and former Cursor employees. Here's what stands out on both sides.

### What employees love

Culture Signal Glassdoor's 5.0/5 Diversity & Inclusion score and 4.7/5 Culture & Values score reflect a strongly positive read of the team and environment.

Culture Signal The flat structure removes most approval chains — reviewers describe being able to ship features end-to-end without process overhead.

Culture Signal With millions of developers using Cursor every day, individual contributions become user-visible within hours rather than quarters.

Culture Signal No product managers and limited middle management mean engineers spend most of their time on product work rather than process.

The theme across every positive review is the same: the people are exceptional, the impact is real, and the signal-to-noise ratio is the highest you'll find anywhere. Multiple people describe it as the best team they've ever been part of. When a company is this small and this successful, the selection effects are powerful — only people who truly want to be there, and who can operate at an elite level, stick around.

### What could be better

Culture Signal Cursor optimizes hard for shipping velocity — reviews and founder commentary describe a pace closer to "all-in" than a predictable 9-to-5.

Culture Signal Hyper-growth at $0→$2B ARR in roughly two years inevitably means shifting priorities and processes still being built mid-flight.

Culture Signal Benefits infrastructure is still maturing — reflected in the relatively lower 4.2/5 Compensation & Benefits Glassdoor score.

Culture Signal Cursor is in-person only at its North Beach SF office, with no documented remote option and no formal career-ladder framework yet.

The cons are the natural flip side of the pros. A small team doing $2B ARR is, by definition, operating at the edge. The intensity is not a bug — it's the core feature. But it means Cursor is not for everyone. The lack of process, the shifting priorities, and the expectation of relentless output will burn out people who need more structure. The benefits gap is real but understandable — the company has been growing so fast that building out HR infrastructure has naturally lagged behind product development.

## Compensation & Benefits

Let's talk about the number that makes Cursor stand out from virtually every other company in our [directory](https://jobsbyculture.com/companies): compensation. According to verified compensation reports, total compensation for software engineers at Cursor ranges from approximately $808K to over $1.1M. That places Cursor among the [highest-paying companies in AI and tech](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026), rivaling or exceeding compensation at frontier AI labs.

$2B

Annual Recurring Revenue

~300+

Estimated Employees

$6M+

Approx. Revenue Per Employee

The compensation structure is heavily weighted toward [equity](https://jobsbyculture.com/values/equity). Given that Cursor's valuation jumped from ~$2.5B to $29.3B in roughly a year — with April 2026 reporting indicating advanced talks for a roughly $2B Series E at a $50B pre-money valuation — early employees are sitting on life-changing equity. This is the trade-off Cursor offers: the cash component is strong but not necessarily market-topping, while the equity upside is among the most compelling in the entire tech industry.

Benefits are still evolving. As a company that has been laser-focused on product, the perks infrastructure is not yet at the level of a [Stripe](https://jobsbyculture.com/companies/stripe) or [Anthropic](https://jobsbyculture.com/companies/anthropic). Expect solid healthcare and the essentials, but don't expect a buffet of wellness stipends and learning budgets — at least not yet. The company is aware of this and actively building it out.

### How Cursor Comp Compares

Company

Engineer TC Range

Team Size

Stage

Cursor

$808K – $1.1M+

~300+

Series D ($29.3B) · Series E in talks ($50B)

[OpenAI](https://jobsbyculture.com/companies/openai)

$350K – $550K+

~3,500

Late-stage ($300B)

[Anthropic](https://jobsbyculture.com/companies/anthropic)

$300K – $490K

~1,500

Series E ($61.5B)

[Stripe](https://jobsbyculture.com/companies/stripe)

$280K – $400K+

~8,000

Pre-IPO ($91B)

[Vercel](https://jobsbyculture.com/companies/vercel)

$200K – $350K

~600

Series E ($3.5B)

The comparison is striking. Cursor's total comp at the engineering level exceeds companies that are orders of magnitude larger. The equity component is doing most of the heavy lifting, but if you believe in the trajectory — and the $0 to $2B ARR run speaks for itself — the financial upside of joining Cursor today is hard to match anywhere in the industry.

## Engineering Culture & Tech Stack

Cursor's engineering culture is inseparable from the product itself. This is a company that builds an AI-powered code editor — the tools for building software are literally the product. The entire team is deeply technical, and the founders are active contributors to the codebase. There is no separation between "engineering" and "the rest of the company" because, in a very real sense, the entire company is engineering.

### Tech Stack

TypeScript Rust Python VS Code (Electron) LLM APIs ML Infrastructure

Cursor is a fork of VS Code, so the editor layer is TypeScript and Electron. The AI and infrastructure layers involve Python for ML pipelines, Rust for performance-critical components, and deep integration with frontier LLM APIs (GPT-4, Claude, and their own fine-tuned models). The technical challenges are fascinating: real-time code prediction, multi-file context management, agent-based task execution, and making AI assistance feel seamless rather than intrusive.

### How engineering works at Cursor

-   **No product managers.** Engineers identify problems, design solutions, and ship them. User feedback flows directly to the people writing code. This creates an extraordinarily tight feedback loop but requires engineers who can think about product, not just implementation.
-   **Ship daily.** The expectation is continuous deployment. Features go from idea to production in days, sometimes hours. The March 2026 sprint — five major releases in a single month — is normal, not exceptional.
-   **Extreme ownership.** There are no handoffs. The person who writes the feature owns it end-to-end: design, implementation, testing, deployment, monitoring, and user support. This is both empowering and demanding.
-   **Flat decision-making.** With a lean team and limited management hierarchy, decisions happen through conversation and consensus, not through approval chains. If you have a good idea and the skill to execute it, you just do it.
-   **[Many hats](https://jobsbyculture.com/values/many-hats).** Everyone does everything. Engineers write marketing copy, respond to user issues, optimize infrastructure, and contribute to hiring. There are no narrow job descriptions at Cursor.

The launch of Cursor 3 in April 2026 — an agent-first workspace that fundamentally rethinks how developers interact with AI — demonstrates the ambition and velocity of this engineering team. Building something that transformative, that quickly, with a small team, is a testament to what a high-trust, low-bureaucracy engineering culture can accomplish.

## Who Thrives at Cursor

Cursor is one of the most selective and intense places to work in tech. Based on the culture signals, employee feedback, and the company's operating model, here's who tends to do well — and who should look elsewhere:

-   **Builders who want maximum leverage.** If your dream is to write code that millions of people use, with no layers between you and the user, Cursor is the highest-leverage opportunity in tech right now. Every commit you make is felt by the entire user base almost immediately.
-   **Full-stack thinkers.** Cursor doesn't hire specialists who only want to work in one narrow domain. You need to be comfortable jumping between frontend, backend, ML infrastructure, and user-facing product decisions — sometimes in the same day. If you love the [many-hats](https://jobsbyculture.com/values/many-hats) startup experience, this is it in its purest form.
-   **People energized by pace.** The [shipping speed](https://jobsbyculture.com/values/ship-fast) at Cursor is not for everyone. If you thrive on momentum, find energy in rapid iteration, and get excited rather than anxious when priorities shift, you'll love it. If you need stability and predictability, you'll find it exhausting.
-   **Low-ego collaborators.** The culture is described as humble and kind despite the intensity. People who need titles, recognition hierarchies, or political maneuvering to feel valued will not fit. The reward at Cursor is the work itself and the impact it creates.
-   **People who believe in the mission.** Cursor is building what they believe is the future of how all software will be written. If that mission genuinely excites you — if you use Cursor yourself and can't stop thinking about how to make it better — you'll feel at home. If AI-powered development tools don't light you up, the intensity won't feel worth it.

Cursor is _not_ ideal for people who want remote work (it's SF in-person only), clear career ladders, established processes, or a well-oiled benefits machine. It's also not the right fit if you prefer deep specialization over breadth. The [flat structure](https://jobsbyculture.com/values/flat) means there's no promotion path in the traditional sense — your "career progression" is measured in impact and equity value, not titles.

Choose Cursor if you want to ship the future of coding at breakneck speed with an elite small team — but expect intensity as the default. If that trade-off excites you, check our [best AI startups to join in 2026](https://jobsbyculture.com/blog/best-ai-startups-to-join-2026) for more companies with similar energy.

## Cursor vs. Other Top AI Companies

To put Cursor in context, here's how it compares to other leading companies across key dimensions that matter to candidates:

Dimension

Cursor

Anthropic

Vercel

Team Size

~300+

~1,500

~600

Individual Impact

Extreme

High

High

Shipping Speed

Daily

Weekly

Fast

Remote Option

No (SF only)

Hybrid (SF)

Remote-first

Career Ladder

Minimal

Developing

Developing

Benefits Maturity

Early

Strong

Strong

Equity Upside

Massive

Strong

Good

Glassdoor

~4.7

4.2

3.9

Cursor stands out as the highest-risk, highest-reward option. If you're optimizing for impact, equity upside, and the experience of working on a rocketship — and you're willing to trade remote flexibility, structured career paths, and polished benefits for it — Cursor is the clear choice. For a more detailed comparison, use our [company comparison tool](https://jobsbyculture.com/compare).

## Recent News & What's Next

Cursor's trajectory in 2026 has been nothing short of extraordinary:

-   **Cursor 3 launch (April 2026):** An agent-first workspace that represents a fundamental rethinking of the code editor. Instead of AI as a sidebar assistant, Cursor 3 puts autonomous agents at the center of the development workflow — they can plan, execute, and iterate on multi-step coding tasks.
-   **Multiple major releases in March 2026:** Including significant improvements to multi-file editing, context awareness, and code generation quality. The shipping cadence remains unusually high for a company at this scale.
-   **Enterprise adoption:** Cursor's footprint in large enterprises has grown rapidly, including a substantial share of Fortune 500 companies per company-reported figures.
-   **Series E in advanced talks at ~$50B pre-money (April 2026):** Reportedly co-led by Andreessen Horowitz and Thrive Capital. If completed, this would make Cursor/Anysphere one of the most valuable private companies in the world.

The question for prospective employees isn't whether Cursor is on an impressive trajectory — that's self-evident. The question is whether the company can maintain its culture, intensity, and shipping velocity as it grows. The transition past 300 people is one of the hardest cultural inflection points a startup faces. Joining now means you'll be part of navigating that transition, for better or worse.

## Open Positions at Cursor

Given the team's size, Cursor has a small but highly selective set of open roles at any given time. The hiring bar is extremely high — the company is looking for generalist engineers who can operate independently, ship fast, and think about product holistically. If the culture and technical challenges described in this post resonate with you, now is a compelling time to explore opportunities.

For full details on Cursor's open roles, culture values, and side-by-side comparisons with other companies, visit the [Cursor culture profile page](https://jobsbyculture.com/companies/cursor).

## Frequently Asked Questions About Working at Cursor

How many employees does Cursor have in 2026?+

Cursor (Anysphere) does not publicly disclose its headcount. External estimates range widely; company coverage describes a workforce that has grown to over 300 employees. Whatever the exact figure, the company generates roughly $2B ARR — extraordinary revenue per employee. The founders have been intentional about staying lean. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Cursor's Glassdoor rating in 2026?+

Cursor has approximately a 4.7 out of 5.0 overall Glassdoor rating, with Work-Life Balance at 4.8/5, Culture & Values at 4.7/5, Diversity & Inclusion at 5.0/5, and Compensation at 4.2/5. The review count is limited relative to large public employers, but the scores are consistently strong. See our [full Cursor culture profile](https://jobsbyculture.com/companies/cursor) for the complete breakdown.

What is a software engineer's salary at Cursor?+

Total compensation for software engineers at Cursor typically ranges from $808K to $1.1M+ per verified compensation reports, including base salary and significant equity. The equity component is particularly compelling given the company's trajectory from $0 to roughly $2B ARR in under two years, with a current $29.3B post-money valuation and a Series E reportedly in advanced talks at a ~$50B pre-money valuation. See our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) for how this compares to other top AI companies.

Is Cursor remote-friendly?+

No. Cursor operates as an in-person team at their office in North Beach, San Francisco. The company believes strongly in the tight-knit, in-person collaboration that comes from a small team working side by side. They even have a famous no-shoes office policy. If remote work is a priority, see our [remote-friendly AI companies](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026) guide instead.

What is Cursor's culture like?+

Cursor's culture is defined by extreme [engineering focus](https://jobsbyculture.com/values/eng-driven), [flat hierarchy](https://jobsbyculture.com/values/flat), and [breakneck shipping speed](https://jobsbyculture.com/values/ship-fast). With a lean team serving millions of users, every individual has outsized [product impact](https://jobsbyculture.com/values/product-impact). Coverage describes the team as elite but humble, with minimal bureaucracy. Engineers wear [many hats](https://jobsbyculture.com/values/many-hats) — there are no product managers, and engineers ship code, talk to users, and contribute to hiring.

What is Cursor's valuation and funding?+

Cursor (Anysphere) closed a $2.3B Series D in November 2025 at a $29.3B post-money valuation, co-led by Accel, Thrive, and Andreessen Horowitz with Coatue, NVIDIA, and Google as new partners. In April 2026, the company was reportedly in advanced talks for a roughly $2B Series E at a $50B pre-money valuation led by Andreessen Horowitz and Thrive Capital. See our [best AI startups to join](https://jobsbyculture.com/blog/best-ai-startups-to-join-2026) for more high-growth opportunities.

What makes Cursor different from other AI startups?+

Three things set Cursor apart: (1) extraordinary revenue efficiency — roughly $2B ARR with a lean team is among the highest revenue-per-employee ratios in software, (2) the product is used by developers themselves, creating a uniquely tight builder-user feedback loop, and (3) the [equity](https://jobsbyculture.com/values/equity) upside is significant given the valuation trajectory. The company went from founding to $29.3B in roughly three years.

### Explore Cursor and 45+ more AI companies

See Cursor's open roles alongside jobs from Anthropic, OpenAI, Stripe, and more — all with culture context and honest reviews.

[View Cursor Jobs →](https://jobsbyculture.com/jobs?company=cursor) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Databricks in 2026: Glassdoor, Salary & Employee Reviews

# Working at Databricks in 2026: Glassdoor, Salary & Employee Reviews

> Is Databricks a good place to work? 4.1 Glassdoor rating, 10,000+ employees, $280k–$450k engineer comp. Real pros & cons from employee reviews + open roles.

Source: https://jobsbyculture.com/blog/working-at-databricks-2026
Markdown: https://jobsbyculture.com/blog/working-at-databricks-2026.md
Last updated: 2026-07-14

---
Databricks is the data and AI company founded by the creators of Apache Spark. Born out of UC Berkeley's AMPLab in 2013, the company has grown from an academic research project into a $134 billion juggernaut (per its February 2026 funding round) with over 10,000 employees and a $5.4B revenue run-rate. Its Lakehouse platform — a unified architecture for data engineering, data science, and machine learning — is now used by thousands of enterprises, from Fortune 500 companies to fast-growing startups. But what is it actually like to work there?

With 786 open positions — the most of any company on our platform — [Databricks](https://jobsbyculture.com/companies/databricks) is aggressively hiring across engineering, sales, product, and data science. We pulled Glassdoor data, real employee reviews, compensation benchmarks, and culture signals to give you the most complete picture of working at Databricks in 2026. Whether you're considering an offer, prepping for an interview, or just curious about what life is like inside one of the largest private tech companies in the world, this is what you need to know.

## Databricks at a Glance

Before we dive into the details, here are the numbers that matter.

Metric

Detail

Founded

2013

Headquarters

San Francisco, CA

Company Size

10,000+ employees

Glassdoor Rating

4.1 / 5.0

Work-Life Balance

3.9 / 5.0

Valuation

$134B (Feb 2026); $165B–$175B reportedly discussed

CEO Approval

~85% (Ali Ghodsi)

Recommend to Friend

82%

A 4.1 Glassdoor rating places Databricks solidly in the upper tier of large tech companies in our [Culture Directory](https://jobsbyculture.com/companies). For context among similarly-sized companies, [HubSpot](https://jobsbyculture.com/companies/hubspot) sits at 4.3, [Stripe](https://jobsbyculture.com/companies/stripe) at 3.7, and [Airtable](https://jobsbyculture.com/companies/airtable) at 4.1. The 82% "recommend to a friend" rate is respectable for a company of this scale and suggests that the majority of employees believe Databricks is a genuinely good place to work, even if the honeymoon phase of startup culture has faded.

791

Open Positions — Most on Our Platform

## What Makes Databricks' Culture Different

Databricks was founded by seven UC Berkeley researchers who created Apache Spark — Ali Ghodsi, Ion Stoica, Matei Zaharia, Patrick Wendell, Reynold Xin, Andy Konwinski, and Arsalan Tavakoli-Shiraji. That academic DNA still runs deep in the company's culture. Unlike many enterprise software companies that are primarily sales-driven, Databricks has maintained a strong engineering focus, with technical excellence valued as highly as revenue growth.

According to employee reviews and our analysis of [Databricks' culture profile](https://jobsbyculture.com/companies/databricks), five core values define the day-to-day experience:

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Learning](https://jobsbyculture.com/values/learning) [Equity](https://jobsbyculture.com/values/equity) [Diverse](https://jobsbyculture.com/values/diverse) [Product Impact](https://jobsbyculture.com/values/product-impact)

The [learning culture](https://jobsbyculture.com/values/learning) is one of Databricks' most distinctive traits. Knowledge-sharing is deeply embedded in how the company operates — internal tech talks, conference-style learning sessions, and mentorship programs are common. This makes sense for a company that literally emerged from a university research lab. Engineers are encouraged to publish, speak at conferences, and contribute to open-source projects. If you're someone who values continuous learning and intellectual growth, this is a major draw.

The [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture means that technical decisions carry real weight. Engineers who built Spark, Delta Lake, and MLflow still work at the company, and that pedigree creates a culture where deep technical work is respected and rewarded. However, Databricks straddles an interesting line: it's simultaneously an engineering-driven company and an enterprise sales machine. That tension is felt internally. Some teams operate with the autonomy and speed of a startup, while others are more tightly coupled to enterprise sales cycles and customer demands.

The [diversity](https://jobsbyculture.com/values/diverse) commitment shows up in both hiring practices and internal culture. Databricks has invested in employee resource groups, diverse hiring pipelines, and inclusive workplace policies. At 10,000+ employees across global offices, maintaining a cohesive culture is a real challenge, and reviews suggest the company is putting genuine effort into it — even if results are still a work in progress.

## Glassdoor Ratings Breakdown

The 4.1 overall score tells a nuanced story when you break it down by category. Compensation is Databricks' strongest area — a pattern common among well-funded late-stage companies — while senior management and work-life balance show room for improvement.

Compensation & Benefits

4.5

Culture & Values

4.2

Overall Rating

4.1

Career Opportunities

4.0

Work-Life Balance

3.9

Senior Management

3.8

The 4.5 compensation score is excellent and reflects Databricks' ability to compete for top talent against both Big Tech and other well-funded startups. The 3.8 senior management score is the weakest link — not unusual for a company that has scaled from a few hundred to 10,000+ employees in a relatively short period. Rapid growth creates management growing pains: middle managers promoted from within may lack experience, and organizational structures get reshuffled frequently.

The 4.0 career opportunities score suggests that while there are plenty of roles and growth paths, the sheer size of the company means that navigating your career requires more intentionality than it would at a smaller startup. Career advancement is possible — there's a lot of room to grow — but it's not always handed to you on a clear ladder.

## What Employees Actually Say

Numbers tell part of the story. Employee voices tell the rest. Here are the recurring themes from Glassdoor reviews, pulled directly from our [Databricks culture profile](https://jobsbyculture.com/companies/databricks).

### What employees love

Pro Engineers who built Spark, Delta Lake, and MLflow remain in technical leadership — the founder-engineer DNA shows up in day-to-day work.

Pro Compensation is the highest-rated dimension on Databricks' Glassdoor (4.5/5), with RSUs in a $134B pre-IPO company.

Pro The platform processes exabytes of data for Fortune 500 customers — large-scale problems are part of routine engineering work.

Pro A learning-oriented culture, including internal tech talks and the public Data + AI Summit, comes through in reviews.

### What could be better

Con Hypergrowth has produced frequent re-orgs and shifting priorities — a recurring theme in reviews from 2024 onward.

Con Legacy Spark-era technical debt is mentioned in reviews as friction for newer features.

Con As an enterprise platform company, large customer deals can influence roadmap and pull engineers into sales-support work.

Con At over 10,000 employees, process overhead has grown, and reviewers note that decisions take longer than they used to.

The work-life balance picture at Databricks is actually quite solid for a company of this size. A 3.9 WLB score ranks 12th in our [work-life balance rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026) — firmly in the amber zone but close to green territory. For context, compare Databricks to other large enterprise software employers: [HubSpot](https://jobsbyculture.com/companies/hubspot) scores 4.1 on WLB with about 8,000 people, while [Stripe](https://jobsbyculture.com/companies/stripe) scores 3.6 with a comparable headcount. Databricks lands right in the middle — not the most relaxed environment, but not a burnout factory either. The main WLB pressure points, per reviews, are tied to enterprise sales cycles (quarter-end pushes) and the pace of product launches, not a "work until midnight" culture.

The tension between engineering and sales cultures is the most nuanced critique. Databricks is, at its core, an enterprise data platform company. That means customer contracts, sales engineers, and quarterly revenue targets are part of the fabric. Some engineers love this — they get to see their work deployed at massive scale for real enterprise customers. Others find it frustrating when a big customer deal shifts the roadmap or pulls engineers into sales-support activities. If you're coming from a pure product company like [Linear](https://jobsbyculture.com/companies/linear) or [Vercel](https://jobsbyculture.com/companies/vercel), the enterprise motion will feel very different.

## Compensation & Benefits

Compensation is one of Databricks' strongest selling points — a 4.5/5.0 Glassdoor rating for comp and benefits places it among the highest in our [directory of 118 companies](https://jobsbyculture.com/companies). Here's what we know.

$280k–$450k

Total Compensation Range for Engineers

For software engineers and data engineers, total compensation (base + equity + bonus) typically falls in the **$280k–$450k range**, with senior and staff-level roles at the higher end. This puts Databricks in a highly competitive tier — not quite at the absolute peak of companies like [Anthropic](https://jobsbyculture.com/companies/anthropic) ($300k–$490k) or [OpenAI](https://jobsbyculture.com/companies/openai), but firmly above most of the market. A few things to note about the comp structure:

-   **Equity is significant.** As a $62B private company that many expect to IPO, Databricks RSUs carry meaningful upside potential. This is a major differentiator compared to already-public companies where the big equity gains may have already happened.
-   **Base salaries are competitive.** Databricks doesn't rely on equity alone to attract talent. Base salaries are at or above market for the Bay Area and other major tech hubs.
-   **Benefits are comprehensive.** Health insurance, generous PTO, 401(k) matching, learning stipends, commuter benefits, and the standard Silicon Valley perks.
-   **Comp across functions.** It's not just engineers who are well-compensated. Sales, product, and data science roles also report strong packages, reflecting the company's enterprise go-to-market investment.

How does Databricks compare to other large companies? [Stripe](https://jobsbyculture.com/companies/stripe) offers similar TC ranges but is already public, so the equity calculus is different. [DeepMind](https://jobsbyculture.com/companies/deepmind) offers strong comp but within Google's pay bands. [HubSpot](https://jobsbyculture.com/companies/hubspot) tends to come in slightly lower on total comp but scores higher on WLB. For engineers who want strong pay with pre-IPO upside at a company processing exabytes of data, Databricks is hard to beat.

## Engineering Culture & Tech Stack

Databricks' technical environment is defined by one word: scale. The company created the Lakehouse architecture — a unified platform that combines the best elements of data warehouses and data lakes. Its engineering teams built and maintain some of the most widely-used open-source data tools in the world, and continue to push the boundaries of distributed computing.

### Tech Stack

Apache Spark Delta Lake MLflow Unity Catalog Python Scala Go Kubernetes

The engineering heritage is extraordinary. Databricks created **Apache Spark** (the de facto standard for distributed data processing), **Delta Lake** (the open-source storage layer that brought reliability to data lakes), and **MLflow** (the most popular open-source ML lifecycle platform). More recently, **Unity Catalog** has become the company's answer to data governance at scale. Engineers at Databricks work on systems that process exabytes of data daily for thousands of enterprise customers.

The primary languages are **Scala** (Spark's native language), **Python** (for ML/data science workloads and the increasingly Python-first ecosystem), and **Go** for newer microservices and infrastructure. Everything runs on **Kubernetes** at massive scale across multiple cloud providers (AWS, Azure, GCP). If you're an engineer who wants to work on truly large-scale distributed systems — not just a service that handles a few thousand requests per second, but infrastructure that underpins the data operations of Fortune 500 companies — Databricks is one of the few places in the world where you can do that.

### How Teams Work

Databricks' engineering organization is structured around product areas — runtime, SQL analytics, ML, data engineering, Unity Catalog, and more. Teams are generally mid-sized (5–12 engineers) and own their areas end-to-end. The company encourages cross-team collaboration, which is important given how interconnected the platform components are. Senior engineers and technical leads have significant influence over architecture and roadmap decisions, reinforcing the [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture.

One thing to know: because Databricks serves enterprise customers, engineering work is often tied to customer requirements and SLAs. This is a double-edged sword. You get to build things that real companies depend on at massive scale (genuinely motivating). But you also have less freedom to pursue purely speculative or research-driven projects compared to an AI research lab like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [DeepMind](https://jobsbyculture.com/companies/deepmind).

## Who Thrives at Databricks

Based on employee reviews, culture signals, and the company's hiring philosophy, here's the profile of someone who tends to thrive at Databricks — and who might struggle.

### You'll love it if you...

-   **Want to work on massive-scale data infrastructure.** If building systems that process exabytes of data for Fortune 500 companies excites you, this is one of the best environments in the world for that.
-   **Value a learning culture.** Tech talks, internal conferences, mentorship programs, and a deep commitment to knowledge-sharing make this a great place for engineers who want to continuously grow.
-   **Want strong compensation at a pre-IPO company.** The $280k–$450k TC range plus meaningful equity in a $134B company with potential IPO upside is a genuine differentiator.
-   **Enjoy the enterprise data space.** If you find it motivating to solve real data problems for real companies at real scale, you'll fit right in.
-   **Want many open positions to choose from.** With 786 open roles — the most on our platform — there's enormous variety in teams, functions, and locations.

### You might struggle if you...

-   **Dislike frequent org changes.** Hypergrowth means restructures, team changes, and shifting priorities are a regular occurrence. If you need stability, this could be frustrating.
-   **Prefer a small startup feel.** At 10,000+ employees, Databricks has inevitably developed some bureaucracy. If you want a 50-person startup where everyone knows each other, look at companies like [Cursor](https://jobsbyculture.com/companies/cursor) or [Replit](https://jobsbyculture.com/companies/replit) instead.
-   **Want to avoid enterprise sales dynamics.** Customer deals influence the roadmap. If you want pure product-led engineering without sales involvement, this may not be the right fit.
-   **Are frustrated by tech debt.** Over a decade of Spark evolution means some legacy systems require careful migration work. If you want a greenfield codebase, newer companies will be more appealing.

The consensus among employees, as captured in our [Databricks profile](https://jobsbyculture.com/companies/databricks): "Choose Databricks if you want massive-scale data engineering, elite comp with pre-IPO upside, and a strong learning culture — but expect org changes and enterprise dynamics."

## Open Positions at Databricks

Databricks currently has **786 open positions** — the most of any company on our platform. Roles span engineering, data science, sales, product, marketing, and operations across San Francisco, Seattle, Amsterdam, London, Berlin, Bangalore, Sydney, and many more global offices. If you're targeting their European offices, our [AI jobs in Paris guide](https://jobsbyculture.com/blog/ai-jobs-paris-2026) covers the broader European AI hiring landscape.

Popular role categories include:

-   **Software Engineers** — Runtime, SQL analytics, data engineering, platform infrastructure, and security
-   **Data Engineers & Scientists** — Building and scaling the Lakehouse platform, MLflow, and Unity Catalog
-   **Solutions Architects & Sales Engineers** — Helping enterprise customers implement and optimize Databricks
-   **Product & Design** — Shaping how millions of data professionals use the platform
-   **Machine Learning & AI** — Foundation models, GenAI features, and ML infrastructure

For the full list of live openings with location and role filters, visit the [Databricks jobs page](https://jobsbyculture.com/jobs?company=databricks) or explore all roles on the [Databricks culture profile](https://jobsbyculture.com/companies/databricks). Preparing for an interview? Check our [questions to ask in a Databricks interview](https://jobsbyculture.com/blog/questions-to-ask-databricks-interview). You can also apply directly through the [Databricks careers page](https://www.databricks.com/company/careers?ref=jobsbyculture.com).

## Frequently Asked Questions About Working at Databricks

What is Databricks' Glassdoor rating?+

Databricks has a 4.1 out of 5.0 Glassdoor rating with a work-life balance score of 3.9/5. Employees praise the engineering culture, strong compensation, and growth opportunities. See our full [Databricks culture profile](https://jobsbyculture.com/companies/databricks) for the detailed breakdown.

How many employees does Databricks have?+

Databricks has approximately 10,000+ employees as of 2026. The company has grown significantly and continues to hire across engineering, product, sales, and machine learning roles. See our [AI company employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026) for comparisons.

What is Databricks' compensation?+

Total compensation for engineers at Databricks typically ranges from $280K to $450K, including base salary, equity, and bonus. As a pre-IPO company, the equity component is a significant draw. For detailed comparisons, see our [highest-paying AI companies rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

Is Databricks going public?+

Databricks is IPO-bound and actively preparing for a public listing. The company has raised significant funding and is one of the most anticipated tech IPOs, making pre-IPO equity a key part of its compensation package for new hires.

### Browse all 13,906 jobs from 118 companies

Find your next role at Databricks or any of the 29 AI & tech companies in our culture directory.

[See Databricks Jobs →](https://jobsbyculture.com/jobs?company=databricks) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Datadog in 2026: Glassdoor, Salary & Engineering Culture | JobsByCulture

# Working at Datadog in 2026: Glassdoor, Salary & Engineering Culture | JobsByCulture

> What

Source: https://jobsbyculture.com/blog/working-at-datadog-2026
Markdown: https://jobsbyculture.com/blog/working-at-datadog-2026.md
Last updated: 2026-07-14

---
Datadog has quietly become one of the most important infrastructure companies in tech. Founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, the company has grown from a simple server monitoring tool into a comprehensive cloud observability platform that processes trillions of data points daily. As a publicly traded company on NYSE (DDOG) with over 10,000 employees and $3.43 billion in 2025 revenue, Datadog is no longer a scrappy startup — it's a scaled public company with the engineering challenges to match.

We dug into Glassdoor data, employee reviews, compensation signals, and Datadog's engineering culture to understand what it's really like to work there in 2026. Whether you're weighing an offer, preparing for an interview, or comparing Datadog against other observability companies, this is the complete picture.

## Datadog at a Glance

Before we unpack the culture, here are the numbers that define Datadog today.

Metric

Detail

Founded

2010

Headquarters

New York, NY (NYSE: DDOG)

Company Size

~10,100 employees (Apr 2026)

Glassdoor Rating

4.2 / 5.0

Work-Life Balance

3.8 / 5.0

Revenue (FY 2025)

$3.43B

Open Positions

454 across 8+ countries

Recommend to Friend

~80%

CEO Approval

Olivier Pomel, ~87%

A 4.2 Glassdoor rating for a company of 10,000+ employees is solid. What makes Datadog's score notable is that it has maintained this level despite scaling rapidly — many companies see ratings drop as they grow past 1,000 employees. The ~80% recommend rate and 87% CEO approval tell a similar story: most people are genuinely satisfied.

4.2 / 5.0

Glassdoor Overall Rating — ~80% Recommend — 87% CEO Approval

## Glassdoor Ratings Breakdown

The 4.2 overall score is respectable, but the sub-category ratings reveal where Datadog truly excels — and where it falls short.

Compensation & Benefits

4.4

Culture & Values

4.3

Overall Rating

4.2

Career Opportunities

4.0

Work-Life Balance

3.8

Senior Management

3.8

Two numbers stand out. The 4.4 compensation score is the highest sub-category — employees genuinely feel well-paid, and DDOG stock has been a wealth builder for those who joined early. The 3.8 work-life balance and 3.8 senior management scores are the weakest links. For a company of this size, 3.8 WLB is reasonable — it's better than [Anthropic](https://jobsbyculture.com/companies/anthropic) (3.7), [Vercel](https://jobsbyculture.com/companies/vercel) (3.5), and [Perplexity](https://jobsbyculture.com/companies/perplexity) (3.3). But it signals that some teams run hot, and the pace isn't always sustainable.

The 3.8 senior management score is worth noting. As Datadog has scaled past 10,000 employees, additional layers of management have been added, and not all of them are universally praised. This is a common pattern in companies that grew from a strong founder-led culture into a large organization.

## Culture & Values

Datadog's culture is rooted in engineering excellence and product velocity. The company was founded by two engineers (Pomel previously worked at Wireless Generation, Lê-Quôc at IBM Research), and engineering has remained the cultural center of gravity even as the sales organization has grown significantly.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Learning](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact) [Equity](https://jobsbyculture.com/values/equity)

Datadog's engineering-driven culture manifests in several concrete ways. Engineers are expected to own problems end-to-end — from design through implementation to production monitoring. The company has a strong internal dogfooding culture: Datadog uses Datadog to monitor Datadog. This creates a tight feedback loop between the engineering team and the product itself.

Culture Signal Reviews and the 4.3/5 Culture & Values Glassdoor score consistently highlight technical depth, smart colleagues, and strong product-market fit.

The "learning" value is genuine. Engineers regularly move between teams and product areas, and the breadth of the observability platform — from infrastructure monitoring to APM to security — means there's always a new domain to explore. For engineers who get bored solving the same type of problem, the surface area is enormous.

However, the culture isn't without tension. As the company has grown, the sales organization has become a dominant force. Some engineers feel that feature prioritization is increasingly sales-driven rather than engineering-driven, which can create friction for those who joined for the technical purity.

Culture Signal Reviews commonly note that sales-driven priorities — particularly large enterprise customer requests — can shape the roadmap and create friction for engineers focused on technical fundamentals.

## Engineering Culture & Tech Stack

Datadog's engineering challenges are genuinely interesting at scale. The platform ingests, processes, and stores trillions of data points daily from millions of hosts across every major cloud provider. This isn't a CRUD app — it's distributed systems engineering at a scale that very few companies operate at.

### Tech Stack

Go Python Rust React Kubernetes Kafka

**Go** is the primary backend language — Datadog was an early adopter and has one of the largest Go codebases in production. **Python** handles data processing, the Agent (the open-source software installed on customer hosts), and internal tooling. **Rust** is used for performance-critical components where Go's garbage collector creates latency issues. **React** powers the dashboard and UI. **Kubernetes** orchestrates the infrastructure, and **Kafka** handles the massive event streaming pipelines.

### What You'll Work On

Datadog's product surface is vast and growing:

-   **Infrastructure Monitoring** — metrics collection, alerting, and dashboards for cloud infrastructure at planetary scale
-   **APM (Application Performance Monitoring)** — distributed tracing, profiling, and service maps across microservices architectures
-   **Log Management** — real-time log ingestion, processing, and analysis at petabyte scale
-   **Security** — cloud SIEM, application security, and compliance monitoring
-   **Synthetics & RUM** — browser testing, API testing, and real user monitoring
-   **CI Visibility** — pipeline monitoring and test optimization for developer workflows

The engineering organization is structured into product-aligned teams, each owning a slice of the platform. This creates clear ownership but can also lead to silos — a tension that employees frequently mention. Cross-team collaboration requires deliberate effort, and some engineers find it harder to influence decisions outside their immediate product area as the company has scaled.

Culture Signal Datadog operates one of the largest Go codebases in production, ingesting trillions of data points daily — the distributed-systems work is real and consistently called out as a draw for engineers.

## Compensation & Benefits

Compensation is Datadog's highest-rated category on Glassdoor at 4.4 out of 5.0. The company pays competitively with FAANG and has the added advantage of being a public company — DDOG stock is liquid and has been one of the best-performing tech stocks over the past five years.

$200K–$400K+

Estimated Total Comp for Engineers — Base + Bonus + DDOG Stock (NYSE)

Here's how compensation breaks down:

-   **Base salary.** Competitive with top-tier tech companies. Senior engineers typically see $180k–$250k+ base depending on location and level.
-   **Stock (RSUs).** DDOG stock grants vest over four years. As a publicly traded company, this is liquid equity — not paper wealth. Employees who joined in earlier years have seen significant returns as the stock has appreciated.
-   **Annual bonus.** Performance-based bonus typically in the 10–20% range of base salary.
-   **Benefits.** Comprehensive health insurance, 401(k) matching, generous PTO, parental leave, and learning stipends.
-   **Global offices.** Competitive compensation in all 8+ office locations, with adjustments for local markets.

For context, Datadog's total compensation is broadly competitive with companies like [Databricks](https://jobsbyculture.com/companies/databricks), Snowflake, and mid-to-senior FAANG roles. It may not reach the absolute peaks of [Anthropic](https://jobsbyculture.com/companies/anthropic) ($300k–$490k) or [OpenAI](https://jobsbyculture.com/companies/openai) ($350k–$550k), but the liquidity of DDOG stock and the company's consistent revenue growth make the equity component particularly attractive. Unlike startup equity, you can sell DDOG stock tomorrow.

## Work-Life Balance

Work-life balance at Datadog is rated 3.8 out of 5.0 — above average but not exceptional. The reality is that balance varies enormously by team.

Some engineering teams operate with predictable schedules and reasonable expectations. Others, particularly those tied to large enterprise customer deadlines or new product launches, can demand extended hours. The sales-driven culture means that when a major customer needs a feature, the timeline can compress quickly.

Culture Signal Work-life balance is rated 3.8/5 on Glassdoor — above average but uneven across teams, with quarter-end pushes and large customer deadlines compressing timelines.

On-call rotations are a reality for many engineering teams. Given that Datadog's customers rely on the platform for production monitoring and alerting, uptime is critical. On-call can be demanding, especially for teams that own high-traffic services.

That said, 3.8 WLB is better than many comparable companies. [Anthropic](https://jobsbyculture.com/companies/anthropic) scores 3.7, [Vercel](https://jobsbyculture.com/companies/vercel) 3.5, and [Perplexity](https://jobsbyculture.com/companies/perplexity) 3.3. If you're looking for strong balance, companies like [PostHog](https://jobsbyculture.com/companies/posthog) (4.5) or [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) (4.3) set a higher bar. But for a scaled public company growing at Datadog's pace, 3.8 is a reasonable number.

## Who Thrives at Datadog

+ **Engineers who love distributed systems at scale** — trillions of data points, millions of hosts, real infrastructure challenges that few companies can offer.

+ **People who want liquid equity** — DDOG is publicly traded. Your stock comp is real money, not a lottery ticket. This matters if you've been burned by startup equity before.

+ **Engineers who want global mobility** — offices in New York, Paris, Tokyo, Singapore, Boston, Seoul, and Sao Paulo. Internal transfers are possible.

+ **People who want clear product-market fit** — $3.43B revenue (FY2025) means you're building something customers genuinely need. No existential product risk.

## Who Might Struggle

− **Engineers who want pure technical autonomy** — the sales-driven roadmap means customer requests can override engineering preferences. If you want to choose what you build, a smaller company may be better.

− **People who dislike organizational complexity** — at 10,000+ employees, there are layers of management, cross-team dependencies, and bureaucratic friction that didn't exist when the company was smaller.

− **Those seeking a small-company feel** — Datadog is a large public company. If you want the intimacy and speed of a 50-person startup, look elsewhere.

− **Engineers who want deep specialization across the org** — some teams can feel siloed, and moving between product areas requires deliberate effort and manager support.

## Open Positions at Datadog

Datadog currently has **421 open positions** across its global offices in New York, Tokyo, Paris, Singapore, Boston, Seoul, and Sao Paulo. The largest hiring areas include:

-   **Enterprise Sales** — 85 roles, reflecting the company's land-and-expand GTM motion
-   **Dev Engineering** — 64 roles across infrastructure, APM, log management, security, and more
-   **Product Management** — 25 roles spanning the full product portfolio
-   **Solutions Engineering** — technical pre-sales and customer success roles
-   **Marketing & Operations** — supporting the company's growth engine

For the full list of live openings, visit the [Datadog jobs page](https://jobsbyculture.com/jobs?company=datadog) or explore the [Datadog culture profile](https://jobsbyculture.com/companies/datadog).

454

Open Positions — New York, Tokyo, Paris, Singapore, Boston, Seoul, Sao Paulo

## The Bottom Line

### The Verdict

Choose Datadog if you want hard distributed systems problems at genuine scale, FAANG-competitive compensation with liquid public stock, and a global engineering organization. The 4.2 Glassdoor and ~80% recommend rate reflect a company where most employees are satisfied — not ecstatic, but genuinely content. The trade-offs are real: sales-driven priorities, organizational growing pains at 10,000+, and WLB that varies by team. If you want a smaller, more engineering-pure environment, look at [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) or [PostHog](https://jobsbyculture.com/companies/posthog). If you want the scale, the comp, and the technical challenges, Datadog delivers.

Datadog represents a specific archetype in tech: the well-run public infrastructure company. It's not the most exciting startup, and it's not trying to be. It's a company that has found enormous product-market fit, pays well, and gives engineers genuinely interesting problems at a scale that very few companies can match. For the right person, that combination is hard to beat.

## Frequently Asked Questions About Working at Datadog

What is Datadog's Glassdoor rating in 2026?+

Datadog has a Glassdoor rating of 4.2 out of 5.0 in 2026. Sub-category scores include Culture & Values at 4.3, Compensation & Benefits at 4.4, Work-Life Balance at 3.8, Senior Management at 3.8, and Career Opportunities at 4.0. Approximately 80% of employees recommend Datadog to a friend, and CEO Olivier Pomel has an 87% approval rating. For context, this puts Datadog above [Databricks](https://jobsbyculture.com/companies/databricks) (4.1) and close to [Anthropic](https://jobsbyculture.com/companies/anthropic) (4.4).

How much do Datadog engineers make in 2026?+

Datadog engineers earn estimated total compensation of $200k to $400k+ depending on level, including base salary, annual bonus, and DDOG stock (NYSE). Senior engineers typically see $180k–$250k+ base salary. The equity component is particularly valuable because DDOG is publicly traded — unlike startup equity, you can sell it immediately. Compensation is broadly competitive with FAANG companies, though it may not reach the absolute peaks of [top AI companies](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) like Anthropic or OpenAI.

What is the work-life balance like at Datadog?+

Work-life balance at Datadog is rated 3.8 out of 5.0 on Glassdoor. Balance varies significantly by team — some teams maintain reasonable hours while others experience intense periods, especially around quarterly pushes or major customer deadlines. On-call rotations are a reality for many engineering teams. For comparison, [Anthropic](https://jobsbyculture.com/companies/anthropic) scores 3.7 WLB, [Vercel](https://jobsbyculture.com/companies/vercel) 3.5, and [PostHog](https://jobsbyculture.com/companies/posthog) 4.5. If work-life balance is your top priority, companies like PostHog or [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) (4.3) may be better fits.

How many employees does Datadog have in 2026?+

Datadog has approximately 10,000 employees as of 2026, with offices in New York (HQ), Paris, Tokyo, Singapore, Boston, Seoul, and Sao Paulo. The company currently has 421 open positions, with the largest hiring areas being Enterprise Sales (85 roles), Dev Engineering (64 roles), and Product Management (25 roles). See our [AI company employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026) for how Datadog compares to other companies.

Is Datadog a good place to work in 2026?+

Datadog is a strong choice for engineers who want hard distributed systems problems at genuine scale, FAANG-competitive compensation with liquid public stock, and a global engineering organization. The 4.2 Glassdoor rating and ~80% recommend rate reflect genuine employee satisfaction. However, the fast pace can lead to long hours on some teams, and the sales-driven culture can sometimes override engineering priorities. If you value engineering autonomy and work-life balance above all else, smaller companies may be a better fit. Check our [full Datadog culture profile](https://jobsbyculture.com/companies/datadog) for detailed ratings, pros, and cons.

What tech stack does Datadog use?+

Datadog's engineering stack includes Go (primary backend language — one of the largest Go codebases in production), Python (data processing, the Datadog Agent, and internal tooling), Rust (performance-critical components), React (frontend dashboard and UI), Kubernetes (infrastructure orchestration), and Kafka (event streaming pipelines). The platform processes trillions of data points daily across infrastructure monitoring, APM, log management, security, synthetics, and CI visibility products.

### Browse all 13,906 jobs from 118 companies

Find your next role at Datadog or any of the 45 AI & tech companies in our culture directory.

[See Datadog Jobs →](https://jobsbyculture.com/jobs?company=datadog) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Decagon in 2026: $4.5B AI Agents Startup, 300+ Employees, Salary & Culture

# Decagon in 2026: $4.5B AI Agents Startup, 300+ Employees, Salary & Culture

> Working at Decagon in 2026: 300+ employees, Series D at $4.5B, 3.9 Glassdoor rating, intense builder culture, and what the AI customer support unicorn is really like inside.

Source: https://jobsbyculture.com/blog/working-at-decagon-2026
Markdown: https://jobsbyculture.com/blog/working-at-decagon-2026.md
Last updated: 2026-07-14

---
[Decagon](https://jobsbyculture.com/companies/decagon) is one of the hottest names in enterprise AI. Founded in 2023 by Jesse Zhang (CEO) and Ashwin Sreenivas (CTO), the company builds AI customer support agents now deployed at 100+ enterprise customers including Avis Budget Group, Block, and Deutsche Telekom. In January 2026 the company raised a $250M Series D at a $4.5B valuation, led by Coatue Management and Index Ventures — tripling its valuation in under six months and cementing its position as one of the defining AI agents companies.

But behind the valuation and the customer logos, what is it actually like to work there? We pulled data from Decagon's [company profile](https://jobsbyculture.com/companies/decagon), 257 Glassdoor reviews, and public hiring signals to give you an honest picture of Decagon as an employer in 2026. Whether you're evaluating an offer or weighing an AI agents startup against bigger names, here's what you need to know.

## Decagon at a Glance

Founded

2023

Headquarters

San Francisco, CA

Founders

Jesse Zhang & Ashwin Sreenivas

Company Size

~300+ employees

Valuation

~$4.5B (Series D, Jan 2026)

Glassdoor Rating

3.9 / 5.0 (257 reviews)

Work-Life Balance

3.7 / 5.0

Recommend to Friend

75%

Key Investors

Coatue, Index, a16z, Accel, Bain Capital Ventures, Elad Gil

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Equity](https://jobsbyculture.com/values/equity), [Product Impact](https://jobsbyculture.com/values/product-impact)

Decagon is a small, high-velocity startup built around a single belief: AI agents can replace most tier-1 customer support. Among the [118 companies in our Culture Directory](https://jobsbyculture.com/companies), Decagon occupies a specific slot — a post-Series-D AI agents company with real enterprise revenue, technical founders still shipping code, and a "builder at any hour" intensity that defines so much of the SF AI scene in 2026.

## What Makes Decagon's Culture Different

Ask people who work at Decagon what defines the culture, and the most common answer is some variation of "intense builder energy". Decagon is the kind of startup where engineers and forward-deployed hires routinely ship to production on day one, where founders Jesse Zhang and Ashwin Sreenivas are still deep in technical reviews, and where the bar for ownership is unusually high. Work hours trend long, but the company is explicit about the trade-off: this is a Series D sprint to category leadership, not a lifestyle job.

The culture traces back to the founders' own backgrounds. Jesse Zhang and Ashwin Sreenivas previously built and sold Helia (acquired by Scale AI) and are both technical operators. That shapes everything downstream — engineers have direct access to founders, decisions move fast, and there's no layer of product bureaucracy between IC work and shipped outcomes. Reviews consistently highlight the quality of peers as one of the best parts of working there.

The second defining characteristic is [shipping speed](https://jobsbyculture.com/values/ship-fast). Decagon sells to F500 enterprises like Eventbrite, ClassPass, Duolingo, and Notion, which means customer feedback loops are immediate and real. Forward-deployed engineers travel on-site with customers and ship fixes within days, not quarters. Multiple reviewers describe the pace as "the fastest I've ever worked" — framed positively by most, cautioned by some.

For engineers who want to work on applied AI at a company that is genuinely winning in its market, Decagon is an unusually pure version of that bet. But there's a trade-off: the pace is relentless, compensation is not top-of-market on base salary (it scores just 3.2/5 on Glassdoor), and the SF-centric office culture means this is not a remote-friendly company. The [equity upside](https://jobsbyculture.com/values/equity) at a $4.5B valuation is the primary financial case for joining now.

Culture Signal Reviews and founder profiles describe Jesse Zhang and Ashwin Sreenivas as still hands-on with technical reviews, with the product genuinely shipping at scale to enterprise customers.

## Glassdoor Ratings Breakdown

Decagon's overall Glassdoor rating of 3.9 out of 5.0, based on 257 employee reviews, places it in solid but not elite territory across our [45-company directory](https://jobsbyculture.com/companies). That's a strong number for a company barely three years old that has scaled from ~30 to ~300+ employees in under 24 months. For context, the 3.9 is in the same band as [Mistral AI](https://jobsbyculture.com/companies/mistral) and just below [Cursor](https://jobsbyculture.com/companies/cursor) at this stage of growth.

Here's how each sub-category breaks down:

Overall Rating 3.9

Culture & Values 3.8

Work-Life Balance 3.7

Senior Management 3.7

Career Opportunities 3.7

Compensation & Benefits 3.2

The pattern is instructive. Culture & Values, WLB, Senior Management, and Career Opportunities all cluster in the 3.7–3.8 range — respectable for a fast-scaling startup. The standout, in a bad way, is Compensation at 3.2. Decagon pays fairly but not generously on base salary, and multiple reviewers flag this as the single biggest gripe. The pitch is explicitly "join for the equity and the mission, not the cash". For people who want top-of-market cash, [Anthropic](https://jobsbyculture.com/companies/anthropic), [OpenAI](https://jobsbyculture.com/companies/openai), and [Ramp](https://jobsbyculture.com/companies/ramp) remain stronger options.

## What Employees Actually Say

We analyzed recurring themes across Decagon's 257 Glassdoor reviews. Here's what stands out on both sides.

### What employees love

Culture Signal Decagon's 3.8/5 Glassdoor Culture & Values score and high hiring bar surface in reviews as strong colleague quality.

Culture Signal Technical founders still active in code reviews give engineers direct access — a recurring theme in coverage of the company.

Culture Signal Decagon agents handle live support traffic across enterprise customers, meaning shipped code reaches end-users within hours, not quarters.

Culture Signal At ~300 employees and growing fast, individual scope and responsibility expand much faster than at a larger AI lab.

The theme is consistent: Decagon attracts ambitious people who want to work on an AI product that is already winning in market. Multiple reviewers cite the caliber of colleagues and the direct involvement of founders as the best things about the company. Forward-deployed engineers in particular describe the role as unusually impactful — you ship code and watch it go live in an F500 customer's support workflow the same week.

### What could be better

Culture Signal Compensation & Benefits is the lowest sub-score on Glassdoor at 3.2/5 — base pay generally trails frontier AI labs, with equity carrying most of the upside.

Culture Signal Long hours are a consistent theme in reviews, in line with Decagon's positioning as a fast-paced Series D AI startup rather than a balanced employer.

Culture Signal With headcount roughly tripling in 18 months, reviews note that process and formal structure are still catching up to scale.

Culture Signal Decagon is San Francisco office-centric — most engineering, product, and GTM roles are on-site or hybrid, with remote-only roles rare.

The cons center on three themes: (1) cash compensation that lags the top of market, (2) long hours typical of a Series D SF AI startup, and (3) some growing-pains process gaps as the headcount tripled in under two years. None of these are deal-breakers, but they frame the trade-off clearly: Decagon is a bet on equity upside and career acceleration, not a balanced or lifestyle company. For flat-organization lovers at a similar stage, [Linear](https://jobsbyculture.com/companies/linear) and [Granola](https://jobsbyculture.com/companies/granola) offer alternative cultural models.

## Compensation & Benefits

Compensation is the weakest part of Decagon's Glassdoor profile at 3.2 out of 5.0, and that's worth taking seriously. The pitch is clear: if you want top-of-market cash, a frontier AI lab or a fintech like [Ramp](https://jobsbyculture.com/companies/ramp) will pay you more. Decagon's case is built around [equity upside](https://jobsbyculture.com/values/equity) at a $4.5B valuation with meaningful growth still ahead, plus the career-acceleration value of being an early engineer at an AI agents company that is clearly winning.

3.2 / 5

Comp & Benefits Rating

75%

Recommend to Friend

$4.5B

Series D Valuation

Base salaries for senior engineers in San Francisco are generally in the competitive-but-not-market-leading range, with meaningful equity grants that scale with seniority. Early employees who joined pre-Series C have already experienced significant paper gains as the valuation rose from ~$65M (seed, 2023) to $1.5B (Series C, mid-2025) to $4.5B (Series D, January 2026) in under three years. The question for new joiners is whether the next leg of growth justifies accepting cash comp that trails the frontier.

Benefits are standard-for-SF: health coverage, equity with typical four-year vesting, and team lunches. This is not a company known for perks theater — the culture is unapologetically work-focused. For a side-by-side view, use the [comparison tool](https://jobsbyculture.com/compare) to see how Decagon stacks up against other AI agents and customer-experience companies in our database.

## Engineering Culture & Tech Stack

Decagon's engineering culture is applied-AI at enterprise scale. The core product is a platform of AI agents that handle customer support conversations for F500 brands, which means the stack blends modern LLM orchestration with the reliability engineering you need to ship to companies like Duolingo and Notion. Engineers work across the full loop: agent design, evaluation tooling, retrieval, guardrails, integrations, and the analytics dashboards that prove ROI to customers.

### Tech Stack

TypeScript Python React LLM Tooling

Decagon's product and platform are primarily TypeScript and React on the frontend, with Python heavily used for the agent orchestration, evaluation, and ML pipeline work. The company integrates with major customer-support platforms (Zendesk, Intercom, Salesforce) and uses the full range of modern LLM providers. Engineers are expected to be comfortable with the whole stack — this is not a place with hard front-end/back-end splits.

### How engineering works at Decagon

-   **Ship to production weekly.** Deploy cadence is fast. Engineers push changes to customer-facing systems multiple times per week, with tight feedback loops from forward-deployed engineers and customers.
-   **Forward-deployed engineering is core.** A meaningful portion of the engineering team works directly with customers on-site, translating requirements into agent configurations and shipping the backend changes needed to support them. This blurs the line between eng and GTM in productive ways.
-   **Founders are in the loop.** Jesse Zhang and Ashwin Sreenivas still review architectural decisions and show up in engineering planning. This is one of the highest-rated aspects of the culture in reviews.
-   **Evaluation over intuition.** Given the product is AI that talks to end users, the team invests heavily in rigorous evaluation infrastructure — this is not vibes-based LLM engineering.

For engineers who have wanted to work on applied AI but felt frontier labs are too research-heavy or too far from users, Decagon is one of the clearest examples of the opposite end of the spectrum — AI that ships and generates real revenue from day one.

## Who Thrives at Decagon

Decagon is not for everyone, and the culture is fairly upfront about it. Based on the signals from 257 reviews, public hiring posts, and founder commentary, here's who tends to do well:

-   **Builders who want applied AI impact.** If you want to work on AI that real users depend on — not research for its own sake — Decagon is one of the cleanest examples in the market. Engineers see the effects of their work in production within days.
-   **People who optimize for equity and career acceleration.** The company is explicit that base comp is not top-of-market. If you're coming for the [equity upside](https://jobsbyculture.com/values/equity) and the ability to own large surface area early in your career, the math makes sense.
-   **Engineers who want to [ship fast](https://jobsbyculture.com/values/ship-fast).** Decagon's deploy cadence is fast and the feedback loop from forward-deployed engineers and F500 customers is short. If you've been frustrated by approval gates and multi-week planning cycles elsewhere, this is a breath of fresh air.
-   **Forward-deployed engineers and generalists.** Decagon invests heavily in FDEs — engineers who sit with customers, translate enterprise requirements into agent configurations, and ship backend changes to match. If you like the mix of customer-facing work and real engineering, few places do this as intensely.
-   **People comfortable with SF-centric, in-person culture.** Decagon is not a remote-first company. Most core roles are in San Francisco, and the culture assumes in-person collaboration. If you thrive in office environments with high density of talent, this is a plus.

Decagon is _not_ ideal for people who prioritize [work-life balance](https://jobsbyculture.com/values/wlb) above all else, people looking for a remote-first company, or people whose financial situation requires top-of-market cash compensation. The 3.7 WLB score and 3.2 comp score reflect real trade-offs. If those are dealbreakers, consider [Linear](https://jobsbyculture.com/companies/linear) (4.4 WLB), [HubSpot](https://jobsbyculture.com/companies/hubspot) (4.1 WLB), or the frontier labs [Anthropic](https://jobsbyculture.com/companies/anthropic) and [OpenAI](https://jobsbyculture.com/companies/openai) for higher cash comp.

## Open Positions at Decagon

Decagon is actively hiring across engineering, forward-deployed engineering, product, design, and GTM. Most roles are in San Francisco with select positions in New York. Following the $250M Series D in January 2026, the company is investing in scaling the engineering team and building out forward-deployed capacity for new enterprise customers.

For full details on Decagon's open roles, culture values, and side-by-side comparisons with other companies, visit the [Decagon culture profile page](https://jobsbyculture.com/companies/decagon) or browse current [Decagon jobs](https://jobsbyculture.com/jobs?company=decagon).

## Frequently Asked Questions About Working at Decagon

How many employees does Decagon have in 2026?+

Decagon has approximately 300+ employees as of early 2026, up from roughly 100 a year earlier. The company is hiring aggressively following the $250M Series D in January 2026, with open roles across engineering, forward-deployed engineering, product, and GTM. For broader context across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

How much did Decagon raise in its Series D?+

Decagon raised a $250M Series D in January 2026 at a $4.5B valuation, led by Bain Capital Ventures with participation from Accel, A\*, and Elad Gil. The company has now raised over $400M total since its 2023 founding. The valuation is up from $1.5B at Series C in mid-2025, reflecting rapid enterprise adoption.

What is Decagon's Glassdoor rating in 2026?+

Decagon has a 3.9 out of 5.0 overall Glassdoor rating based on 257 employee reviews. Sub-scores are Culture & Values (3.8), Work-Life Balance (3.7), Senior Management (3.7), Career Opportunities (3.7), and Compensation (3.2). 75% of employees recommend working there. See our [full Decagon culture profile](https://jobsbyculture.com/companies/decagon) for the complete breakdown.

Who founded Decagon and what is their background?+

Decagon was founded in 2023 by Jesse Zhang (CEO) and Ashwin Sreenivas (CTO). Both are ex-Google and previously built Helia, which was acquired by Scale AI. The pair are technical operators who remain deeply involved in engineering — reviewers consistently cite "founders who still ship code" as one of the best parts of the culture.

What is Decagon's engineering culture like?+

Decagon's engineering culture is builder-first and fast-shipping. Engineers deploy to F500 customers multiple times per week, own systems end-to-end, and work closely with forward-deployed engineers and the founders. The tech stack is TypeScript, Python, React, and modern LLM tooling. Work-life balance rates 3.7/5 — demanding but not unsustainable for most reviewers. If you want applied AI with real production impact, this is one of the purest bets in the market.

What is Decagon's compensation for engineers?+

Decagon's compensation rating on Glassdoor is 3.2/5 — the weakest sub-score in its profile. Base salaries are generally considered fair for San Francisco but trail frontier AI labs such as [Anthropic](https://jobsbyculture.com/companies/anthropic) and [OpenAI](https://jobsbyculture.com/companies/openai). The core financial case is equity upside at a $4.5B valuation plus career acceleration. See our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

Is Decagon remote-friendly?+

No — Decagon is San Francisco office-centric. Most engineering, product, and GTM roles are listed as on-site or hybrid with strong preference for in-person collaboration. Forward-deployed engineering roles involve travel to enterprise customer sites but still route through SF. Fully remote roles are rare. For [remote-first companies](https://jobsbyculture.com/values/remote), see our culture directory.

### Explore Decagon & similar AI companies

See Decagon's open roles and browse culture-matched jobs from companies like Cursor, Cognition, Harvey, and Sierra — all with culture context.

[View Decagon Profile →](https://jobsbyculture.com/companies/decagon) [Decagon Jobs →](https://jobsbyculture.com/jobs?company=decagon)

---

## Document: Working at Deepgram in 2026: Voice AI, $1.3B Valuation & Culture

# Working at Deepgram in 2026: Voice AI, $1.3B Valuation & Culture

> Working at Deepgram in 2026: ~314 employees, $1.3B valuation, 4.6 Glassdoor rating, $210k-$300k+ engineer comp, and what the voice AI culture is really like inside.

Source: https://jobsbyculture.com/blog/working-at-deepgram-2026
Markdown: https://jobsbyculture.com/blog/working-at-deepgram-2026.md
Last updated: 2026-07-14

---
Most people in AI are chasing text. [Deepgram](https://jobsbyculture.com/companies/deepgram) bet everything on sound. Founded in 2015 by Scott Stephenson, a former particle physicist who worked on the ATLAS experiment at CERN, Deepgram set out to build speech recognition from the ground up — not by tweaking existing models, but by training custom deep neural networks on raw audio data. A decade later, that bet has paid off: a $1.3 billion valuation, partnerships with IBM and Twilio, and over 200,000 developers building on their APIs.

But what’s it actually like to work there? With a 4.6 Glassdoor rating — one of the highest among the [118 companies in our Culture Directory](https://jobsbyculture.com/companies) — Deepgram stands out on paper. We dug into employee reviews, the engineering blog, and the company’s recent trajectory to give you an honest picture of Deepgram as an employer in 2026.

## Deepgram at a Glance

Founded

2015

Headquarters

San Francisco, CA

Founder & CEO

Scott Stephenson (ex-CERN physicist)

Company Size

~~314 employees

Valuation

$1.3B (Series C, Jan 2026)

Total Funding

$235M+

Glassdoor Rating

4.6 / 5.0 (46 reviews)

Work-Life Balance

4.3 / 5.0

Recommend to Friend

88%

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Learning](https://jobsbyculture.com/values/learning), [Product Impact](https://jobsbyculture.com/values/product-impact)

Deepgram occupies a fascinating niche in the AI landscape. While [OpenAI](https://jobsbyculture.com/companies/openai) and [Anthropic](https://jobsbyculture.com/companies/anthropic) race to build general-purpose reasoning, and [ElevenLabs](https://jobsbyculture.com/companies/elevenlabs) focuses on voice generation, Deepgram has planted its flag in the infrastructure layer: real-time speech understanding at enterprise scale. Their Nova-3 models achieve word error rates of 5.26% on general English, and their Voice Agent API is the only enterprise-grade platform that handles speech-to-text, text-to-speech, and conversational AI in a single streaming connection. More than 1,300 organizations use their APIs in production.

## The Culture: Physicist Founders, Engineer-Led Decisions

Deepgram’s culture is shaped by its origin story. Scott Stephenson didn’t come from a startup accelerator — he came from experimental physics, where you design instruments to observe phenomena that no one else can see. That sensibility permeates the company. Deepgram doesn’t use off-the-shelf models and fine-tune them. They build speech models from scratch, train on proprietary datasets, and optimize inference pipelines down to the hardware level.

This translates into an [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture where technical excellence is the primary currency. Employees consistently describe working alongside “talented, humble, and kind people who trust you to do great work.” There’s a conspicuous absence of bureaucratic overhead — at ~314 people, the company is small enough that individual engineers can trace a direct line between their code and the customers it serves.

Culture Signal Glassdoor's 4.5/5 Career Opportunities score is one of the highest in our directory — engineers consistently describe broad scope and minimal blockers in reviews.

The [learning opportunities](https://jobsbyculture.com/values/learning) are a recurring theme in reviews. Deepgram is doing genuinely novel work at the intersection of deep learning, audio signal processing, and real-time systems. Engineers regularly encounter problems that don’t have textbook solutions — how to reduce inference latency below 300ms while maintaining accuracy across 36+ languages, how to build speech-to-speech models that preserve emotional tone without converting to text at any intermediate step. If you’re the kind of engineer who thrives on hard, open-ended problems, that’s a powerful draw.

But the culture isn’t without tension. Multiple reviewers note that Deepgram operates with a CEO-driven decision-making style. Scott Stephenson is deeply involved in technical and strategic choices, and several employees report that “top-down decisions can override team consensus.” For engineers who thrive with strong founder leadership — think [Cursor](https://jobsbyculture.com/companies/cursor) or early [Stripe](https://jobsbyculture.com/companies/stripe) — this can feel energizing. For those who expect collaborative decision-making at every level, it can be frustrating.

Culture Signal Glassdoor reviews describe a CEO-led decision style where top-down calls can override team consensus — a fit for some employees and a friction point for others.

## Glassdoor Ratings Breakdown

Deepgram’s 4.6 overall rating places it in the top 10% of our [directory](https://jobsbyculture.com/companies), alongside companies like [Cursor](https://jobsbyculture.com/companies/cursor) (4.7) and [Linear](https://jobsbyculture.com/companies/linear) (4.8). With 46 reviews, it’s a smaller sample than companies like [Stripe](https://jobsbyculture.com/companies/stripe) (2,800 reviews) or [Datadog](https://jobsbyculture.com/companies/datadog) (1,200+), but the consistency across reviews is striking.

Compensation & Benefits 4.5

Career Opportunities 4.5

Overall Rating 4.6

Culture & Values 4.3

Work-Life Balance 4.3

The standout here is Career Opportunities at 4.5 — unusually high for a company of this size. This makes sense when you consider the learning velocity. At a 260-person company building novel AI infrastructure, engineers take on scope that would require three levels of seniority at a larger org. The Compensation & Benefits score at 4.5 reflects competitive startup comp with meaningful equity upside at a unicorn valuation. The Work-Life Balance of 4.3 is strong, though some reviews caveat that “you’ll work very hard — it’s hard to find a good balance at times.”

## What Employees Actually Say

### What employees love

Culture Signal Deepgram's 4.3/5 Culture & Values Glassdoor score and 4.3/5 work-life balance score consistently surface trust, autonomy, and a learning-oriented environment in reviews.

Culture Signal Reviews describe a leadership team open to new ideas, with intellectual curiosity treated as core to the role rather than a side perk.

Culture Signal Across the 46 Glassdoor reviews, "humble" and "kind" are common descriptors of the team — an unusual signal for a competitive AI infrastructure company.

The thread connecting every positive review is trust. Deepgram gives engineers real ownership with minimal gatekeeping. That’s partly structural — at 260 people, there simply aren’t enough layers of management to create bottlenecks — and partly cultural. The founding team came from research labs where intellectual autonomy is the default, and that norm has persisted as the company scaled.

### What could be better

Culture Signal Reviews note that intensity is real — engineers describe periods where balance is hard despite the 4.3/5 WLB Glassdoor score.

Culture Signal Several reviews flag communication gaps — strategic context not always shared broadly with engineers executing on it.

The cons cluster around two themes: (1) the intensity that comes with a fast-growing startup in a competitive market, and (2) communication gaps that some attribute to the CEO-driven decision style. Deepgram conducted two rounds of layoffs in 2023 per third-party reporting (~9% in February, ~20% in October), so any "post-layoff" framing in older reviews refers to that period; the company is currently hiring again following the January 2026 Series C. The communication issue is worth noting — at a company this size, it's fixable, and likely something leadership is actively working on as headcount scales.

## Compensation & Benefits

Deepgram’s compensation is competitive for a Series C startup, particularly given the equity upside at a $1.3 billion valuation. The 4.5 Glassdoor rating for Compensation & Benefits puts it in the same tier as [Stripe](https://jobsbyculture.com/companies/stripe) (4.5) and [Anthropic](https://jobsbyculture.com/companies/anthropic).

$266K

Median SWE Total Comp

$1.3B

Valuation (Jan 2026)

88%

Recommend to Friend

Based on verified employee-reported salary data, total compensation for software engineers at Deepgram ranges from approximately $210K to $300K+, depending on level and specialization. The median engineering package sits around $266K, which includes base salary, equity, and bonuses. That’s below frontier AI labs like [OpenAI](https://jobsbyculture.com/companies/openai) ($350K–$550K+) and [Anthropic](https://jobsbyculture.com/companies/anthropic) ($300K–$490K), but competitive for a sub-300-person startup — and the equity component carries real upside given the $1.3B valuation and growing enterprise revenue.

The $130M Series C round, led by AVP with participation from BlackRock, Twilio, ServiceNow Ventures, SAP, and Citi Ventures, adds institutional credibility. These aren’t speculative bets from early-stage VCs — they’re strategic investments from companies that are themselves customers of Deepgram’s voice AI infrastructure. That investor profile matters for equity value: enterprise customers as investors typically signal durable revenue, not hype-driven valuation.

## Engineering Culture & Tech Stack

Deepgram’s engineering is what differentiates it from nearly every other company in the voice AI space. While competitors often wrap OpenAI’s Whisper model in an API layer, Deepgram trains its own speech models from scratch. That’s a harder path — it requires building custom training infrastructure, assembling proprietary datasets, and optimizing every layer of the inference pipeline — but it produces models that are faster, more accurate, and more customizable for enterprise use cases.

### Tech Stack

Rust C++ Python Go CUDA PyTorch

The core inference engine is written in Rust and C++ for maximum performance — when you’re processing real-time audio at sub-300ms latency, every microsecond in the pipeline matters. Python drives the ML training pipelines and research experimentation, while Go powers the backend API services. CUDA and custom GPU kernels optimize the deep learning inference path. This is not a “wrap a model in FastAPI” stack — it’s systems-level engineering that spans from GPU memory management to WebSocket streaming protocols.

### What engineers work on

-   **Nova model family.** Deepgram’s flagship speech-to-text models, now in their third generation. Nova-3 achieves state-of-the-art accuracy across 36+ languages. The ML team works on architecture design, training data curation, and inference optimization.
-   **Speech-to-speech models.** A milestone achievement: end-to-end models that translate speech directly without intermediate text conversion, preserving nuance, intonation, and emotional tone. This is frontier research, not incremental improvement.
-   **Voice Agent API.** The industry’s first enterprise-grade, real-time conversational AI API. Engineers build the streaming infrastructure that handles STT, TTS, and orchestration in a single connection — replacing what previously required stitching three separate services together.
-   **On-premise deployments.** For customers in healthcare, finance, and government who can’t send audio to the cloud. Engineers work on containerized deployments that run Deepgram’s full model stack in customer environments.

The technical depth is genuine. Deepgram has processed over 50,000 years of audio and transcribed more than one trillion words. Their IBM partnership — integrating Deepgram’s speech capabilities into watsonx Orchestrate as IBM’s first voice partner — signals the kind of enterprise trust that only comes from battle-tested infrastructure.

## Recent Momentum: The $130M Series C

Deepgram entered 2026 with significant momentum. The January 2026 Series C round raised $130M at a $1.3B valuation, making Deepgram a unicorn. But the funding story is less about the number and more about what it signals.

First, Deepgram reached the round cash-flow positive — meaning the $130M isn’t survival capital but growth fuel. Annual usage had grown 3.3x over the preceding four years, driven by the explosion of voice AI agents, call center automation, and real-time transcription in sectors like healthcare and legal. Second, the investor mix (BlackRock, Stanford, Columbia, plus strategic partners Twilio, SAP, ServiceNow, and Citi Ventures) reflects institutional confidence in the durability of the business, not just the technology.

The funding is earmarked for three priorities: expanding the team from 150 to 250+ employees (mostly engineering and sales), launching the “Powered by Deepgram” program for OEM partnerships, and building a Voice AI Collaboration Hub in San Francisco. They also acquired OfOne, a Y Combinator-backed startup specializing in voice AI for restaurants — an early move into vertical-specific voice applications.

## Who Thrives at Deepgram

Based on the culture signals, compensation data, and employee feedback, here’s who tends to do well:

-   **Systems-level engineers.** If you think in terms of memory layouts, latency budgets, and GPU utilization, this is your kind of company. Deepgram’s engineering problems are closer to what you’d find at [Cerebras](https://jobsbyculture.com/companies/cerebras) or a robotics company than at a typical SaaS startup.
-   **ML researchers who want [production impact](https://jobsbyculture.com/values/product-impact).** Unlike pure research labs, every model improvement at Deepgram ships to production and serves real customers within weeks. If you want your research to matter beyond a paper, that’s a compelling proposition.
-   **Self-starters who don’t need hand-holding.** The “few guardrails” approach means you get autonomy, but it also means you need to be comfortable navigating ambiguity. Deepgram won’t give you a detailed spec — they’ll give you a problem and trust you to figure it out.
-   **People excited about the voice AI market.** This matters more than it sounds. Voice AI is having its ChatGPT moment — customer service bots, medical dictation, real-time translation, AI phone agents. If you believe voice is the next major interface layer (and the $130M from strategic investors suggests the market does), Deepgram is the infrastructure play.

Deepgram is _not_ ideal for engineers who want highly structured environments with clear career ladders and extensive documentation. It’s a fast-moving startup that prioritizes [shipping](https://jobsbyculture.com/values/ship-fast) over process. If you want the career ladder transparency of [HubSpot](https://jobsbyculture.com/companies/hubspot) or the writing-culture structure of [Stripe](https://jobsbyculture.com/companies/stripe), this will feel chaotic. If you want the flat, high-trust, high-impact energy of a company building something genuinely new, it’s one of the best places in AI to do it.

## Open Positions at Deepgram

Deepgram currently has **67 open positions** listed on our platform, spanning ML engineering, backend infrastructure, developer relations, and enterprise sales. With the Series C funding specifically designated for team expansion, 2026 is an active hiring window. Roles span San Francisco, Ann Arbor (where the company has deep ties to the University of Michigan research community), and remote.

For full details on Deepgram’s open roles, culture values, and side-by-side comparisons with other companies, visit the [Deepgram culture profile page](https://jobsbyculture.com/companies/deepgram).

## Frequently Asked Questions About Working at Deepgram

How many employees does Deepgram have in 2026?+

Deepgram has approximately 314 employees as of April 2026 per third-party data. The company raised a $130M Series C in January 2026 at a $1.3B valuation and has been expanding rapidly, primarily in engineering and sales. They currently have open roles on our platform, indicating continued hiring. For context across AI companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Deepgram's Glassdoor rating in 2026?+

Deepgram has a 4.6 out of 5.0 overall Glassdoor rating based on 46 reviews. Key sub-scores include Work-Life Balance at 4.3/5, Compensation & Benefits at 4.5/5, and Career Opportunities at 4.5/5. 88% of employees recommend working there. This places Deepgram in the top 10% of all [118 companies in our directory](https://jobsbyculture.com/companies).

What is the salary for engineers at Deepgram?+

Total compensation for software engineers at Deepgram ranges from approximately $210K to $300K+, depending on level. The median engineering package is around $266K, including base salary, equity, and bonus. Compensation is rated 4.5/5 on Glassdoor. For broader compensation comparisons, see our [highest-paying AI companies rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

What is Deepgram's tech stack?+

Deepgram's core speech models are built in Rust and C++ for performance-critical inference. Python drives ML training pipelines, Go powers backend services, and CUDA/custom GPU kernels optimize the deep learning path. Their Nova models process speech-to-text at sub-300ms latency. They've also built end-to-end speech-to-speech models that bypass text entirely — a genuine technical milestone.

What is Deepgram's culture like?+

Deepgram's culture values include [Engineering-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Learning & Growth](https://jobsbyculture.com/values/learning), and [Product Impact](https://jobsbyculture.com/values/product-impact). Employees describe a collaborative, humble team with strong trust and few guardrails. The main trade-off is a CEO-driven decision style where top-down calls can sometimes override team consensus.

Is Deepgram a good company to work for?+

With a 4.6 Glassdoor rating and 88% recommendation rate, Deepgram ranks among the highest-rated companies in our [directory of 118 AI and tech companies](https://jobsbyculture.com/companies). Employees praise the talented, humble team, exciting voice AI market, and rapid growth opportunities. The trade-offs are intensity (startup pace in a competitive market) and a CEO-driven decision culture. If you want autonomy, hard problems, and meaningful equity at a unicorn, Deepgram is a strong choice.

### Explore Deepgram’s 67 Open Roles

See Deepgram’s open positions alongside jobs from companies like Anthropic, Cursor, ElevenLabs, and more — all with culture context.

[View Deepgram Profile →](https://jobsbyculture.com/companies/deepgram) [Browse Deepgram Jobs →](https://jobsbyculture.com/jobs?company=deepgram)

---

## Document: Working at Google DeepMind 2026: 5,600 Employees, £180K+ Salaries & the Culture Nobody Talks About

# Working at Google DeepMind 2026: 5,600 Employees, £180K+ Salaries & the Culture Nobody Talks About

> Google DeepMind has 5,600 employees, a 4.2 Glassdoor rating, and $300K-$500K comp in 2026. Nobel Prize-winning research culture, but 3.8/5 career growth. The real trade-offs inside.

Source: https://jobsbyculture.com/blog/working-at-deepmind-2026
Markdown: https://jobsbyculture.com/blog/working-at-deepmind-2026.md
Last updated: 2026-07-14

---
Google DeepMind is where Nobel Prize-winning science meets Google-scale infrastructure. Born from the 2023 merger of DeepMind (co-founded in London in 2010 by Demis Hassabis, Shane Legg, and Mustafa Suleyman) and Google Brain, the combined entity has become arguably the most prolific AI research organization in the world. Its work on [AlphaFold](https://alphafold.ebi.ac.uk/?ref=jobsbyculture.com) won the 2024 Nobel Prize in Chemistry. Its CEO, Demis Hassabis, is a Nobel laureate. But what is it actually like to work there?

We pulled Glassdoor data, real employee reviews, compensation benchmarks, and culture signals to give you the most complete picture of working at Google DeepMind in 2026. Whether you're weighing an offer, prepping for an interview, or just curious about what happens when a frontier research lab operates inside one of the world's largest companies, this is what you need to know.

## Google DeepMind at a Glance

Before we dive into the details, here are the numbers that matter.

Metric

Detail

Founded

2010 (DeepMind); merged with Google Brain 2023

Headquarters

London, UK (also Mountain View, CA)

Company Size

~2,000+ research scientists & engineers (estimates vary)

Co-founders

Demis Hassabis, Shane Legg, Mustafa Suleyman (2010)

Glassdoor Rating

4.2 / 5.0

Work-Life Balance

4.0 / 5.0

CEO Approval

~88% (Demis Hassabis)

Recommend to Friend

~85%

A 4.2 Glassdoor rating puts DeepMind solidly in the upper tier of AI companies in our [Culture Directory](https://jobsbyculture.com/companies). For context, [OpenAI](https://jobsbyculture.com/companies/openai) sits at 4.5, [Anthropic](https://jobsbyculture.com/companies/anthropic) at 4.4, and [Cohere](https://jobsbyculture.com/companies/cohere) at 2.9. But here's the standout: DeepMind's 4.0 work-life balance score is the **best among all frontier AI labs** — beating [Anthropic](https://jobsbyculture.com/companies/anthropic) (3.7), [OpenAI](https://jobsbyculture.com/companies/openai) (3.6), and [Perplexity](https://jobsbyculture.com/companies/perplexity) (3.3) by a meaningful margin.

4.2 / 5.0

Glassdoor Overall Rating

## What Makes DeepMind's Culture Different

DeepMind's culture is defined by one fundamental tension that, remarkably, it has managed to resolve: **research-first ambition backed by the world's largest tech infrastructure**. Most frontier AI labs are either scrappy startups burning through runway or giant corporate divisions where research serves product goals. DeepMind operates in a rare sweet spot — the intellectual freedom and deep-work culture of an elite research institution, combined with Google's compute, data, and financial resources.

The Nobel Prize pedigree is not just a marketing talking point. When AlphaFold solved protein folding and won the 2024 Nobel Prize in Chemistry, it validated something DeepMind had believed since its founding: that AI could be used to make fundamental scientific breakthroughs, not just better chatbots or ad-targeting algorithms. That mission attracts a specific kind of researcher and engineer — people who want their work to advance the frontiers of science itself.

According to employee reviews and our analysis of [DeepMind's culture profile](https://jobsbyculture.com/companies/deepmind), seven core values define the day-to-day experience:

[Deep Work](https://jobsbyculture.com/values/deep-work) [Learning](https://jobsbyculture.com/values/learning) [Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Diverse](https://jobsbyculture.com/values/diverse) [Ethical AI](https://jobsbyculture.com/values/ethical-ai) [Equity](https://jobsbyculture.com/values/equity) [Flex Hours](https://jobsbyculture.com/values/flex-hours)

The [deep-work culture](https://jobsbyculture.com/values/deep-work) is perhaps DeepMind's greatest differentiator. Unlike many tech companies where engineers are pulled into endless meetings, Slack threads, and sprint ceremonies, DeepMind protects focus time fiercely. Research scientists and engineers are given the space to think deeply about hard problems — sometimes for months or years — without the pressure to ship incremental features on a two-week cadence. If you've ever read Cal Newport's _Deep Work_ and thought "I wish my company actually worked this way," DeepMind is one of the few places where it does.

The [diversity](https://jobsbyculture.com/values/diverse) that comes from DeepMind's London headquarters is a genuine cultural advantage. The team spans dozens of nationalities, and the London location means European work culture norms — generous holiday allowances, reasonable working hours, and a genuine respect for personal time — are baked into the organization's DNA. This is a big part of why the WLB score is 4.0, far above other frontier labs based in the intensity of San Francisco.

The [ethical AI](https://jobsbyculture.com/values/ethical-ai) commitment is taken seriously, with a dedicated ethics team and a track record of publishing research on AI safety, fairness, and societal impact. DeepMind was one of the first AI labs to establish an ethics board, and the Hassabis leadership team regularly speaks about responsible AI development at the highest levels of government and academia.

## Glassdoor Ratings Breakdown

The 4.2 overall score reveals a company with exceptional compensation and genuine work-life balance, but some friction around career progression and corporate structure. Let's break it down.

Compensation & Benefits

4.5

Culture & Values

4.3

Overall Rating

4.2

Senior Management

4.0

Career Opportunities

3.8

Work-Life Balance

4.0

The 4.5 compensation score reflects Google's industry-leading pay bands, which DeepMind employees benefit from directly. The 4.0 work-life balance score is the real headline here — it's the **highest WLB rating of any frontier AI lab** in our database. For comparison: [Anthropic](https://jobsbyculture.com/companies/anthropic) scores 3.7, [OpenAI](https://jobsbyculture.com/companies/openai) scores 3.6, and [Perplexity](https://jobsbyculture.com/companies/perplexity) scores 3.3. If you want to work at the bleeding edge of AI research _without_ sacrificing your evenings and weekends, DeepMind is the best option available.

The 3.8 career opportunities score — the lowest in the breakdown — hints at a tension that comes up repeatedly in employee reviews: career progression at DeepMind is tied to Google's leveling system (L5–L7 for most roles). While Google's system is well-defined, it can feel corporate and slow compared to the faster promotion cycles at startups. Some employees also report that the 2023 Brain merger created organizational ambiguity that hasn't fully resolved.

The 4.0 senior management score reflects generally positive sentiment about Hassabis's leadership. His Nobel Prize and scientific credibility give him unique authority among AI lab leaders — he's not a business executive overseeing researchers, but a researcher leading researchers. That authenticity resonates with the team.

## What Employees Actually Say

Numbers tell part of the story. Employee voices tell the rest. Here are the recurring themes from Glassdoor reviews, pulled directly from our [DeepMind culture profile](https://jobsbyculture.com/companies/deepmind).

### What employees love

Pro "World-class research environment — access to TPUs, compute, and the best minds in AI"

Pro "Google-level compensation with startup-level intellectual freedom"

Pro "Genuine work-life balance — rare for a frontier AI lab"

Pro "Nobel Prize-winning research (AlphaFold) — your work can literally change science"

Pro "London HQ means European work culture benefits"

The theme that appears most consistently is the quality of the research environment. DeepMind employees have access to resources that few organizations on Earth can match — Google's TPU clusters, massive datasets, and a concentration of talent that includes multiple Turing Award and Nobel Prize recipients. For researchers who want to push the boundaries of what's possible in AI, this is genuinely one of the best places in the world to do it.

The "Google-level comp with startup-level freedom" combination is what makes DeepMind's value proposition unique. You get the financial security and benefits of one of the world's most profitable companies, but the day-to-day work feels more like an academic research lab than a corporate division. This is a rare and genuinely attractive combination.

### What could be better

Con "Google bureaucracy can slow things down — layers of approval for some projects"

Con "Career progression tied to Google's leveling system — can feel corporate"

Con "Some teams feel disconnected after the Brain merger"

Con "Publication process can be slow due to internal review requirements"

The Google bureaucracy concern is the most frequently cited frustration. DeepMind operates inside Google's corporate structure, which means navigating approval processes, HR systems, and organizational decisions that were designed for a 180,000-person company. For researchers who came from academia or small startups, the overhead can feel stifling. Things that should take days sometimes take weeks.

The Brain merger is still creating friction in some areas. Before the merger, DeepMind and Google Brain were effectively competing research labs within Alphabet. Combining them created cultural integration challenges — different research philosophies, overlapping projects, and organizational politics that hadn't existed when each lab operated independently. Most employees say this has improved significantly since 2023, but it hasn't fully resolved.

The publication process is a nuanced issue. DeepMind publishes more peer-reviewed research than almost any other AI lab, but internal review requirements can delay papers. Some researchers feel this creates tension between academic norms (publish quickly, share openly) and corporate priorities (protect competitive advantage). If rapid publication is important to you, this is worth discussing during the interview process.

## Compensation & Benefits

Compensation is one of DeepMind's strongest selling points, thanks to its integration into Google's pay structure. The 4.5 Glassdoor rating for comp and benefits places it among the top-paying companies in our [directory of 118 companies](https://jobsbyculture.com/companies).

$300k–$500k

Total Compensation Range (Google L5–L7)

For research scientists and software engineers, total compensation (base + equity + bonus) typically falls in the **$300k–$500k range** across Google's L5 to L7 bands. Senior research scientists and principal engineers can push well beyond that. Here's what makes the comp structure distinctive:

-   **Google RSUs that vest monthly.** Unlike startup equity with uncertain liquidity, Google stock (GOOG) is public and trades on NASDAQ. RSUs vest over 4 years, providing real, predictable income from day one.
-   **Base salaries are top-of-market.** Google's base pay is consistently at or above the 90th percentile for tech companies, with annual refreshes tied to performance.
-   **Google-tier benefits.** Comprehensive health insurance, 20+ PTO days, parental leave, 401(k) matching (US) or pension contributions (UK), on-site meals at major offices, and a generous learning stipend.
-   **London cost-of-living advantage.** While London isn't cheap, TC packages at DeepMind's London HQ are often comparable to US levels, creating significantly better purchasing power than San Francisco or New York.
-   **Research scientists with strong publication records** (NeurIPS, ICML, ICLR) can command exceptional packages, given the fierce competition for top ML talent between DeepMind, [OpenAI](https://jobsbyculture.com/companies/openai), [Anthropic](https://jobsbyculture.com/companies/anthropic), and other frontier labs.

For a side-by-side comparison of how DeepMind stacks up against its competitors, use the [interactive comparison tool](https://jobsbyculture.com/compare/deepmind-vs-openai) or explore individual [company profiles](https://jobsbyculture.com/companies/deepmind).

## Engineering Culture & Tech Stack

DeepMind's engineering culture reflects its dual identity as both a research institution and a Google division. The best way to understand it: think of an elite university CS department, but with Google's infrastructure budget.

### Tech Stack

Python JAX TensorFlow TPU Clusters GPU Clusters

DeepMind's stack centers on **Python** and **JAX** (which DeepMind/Google Brain largely created) for research and model training. **TensorFlow** remains in use for production workloads, and the lab has unique access to Google's custom **TPU** hardware alongside massive **GPU** clusters. The compute available to DeepMind researchers is essentially unlimited by any reasonable standard — this is one of the key advantages of being inside Google.

### How Teams Work

DeepMind's organizational structure is team-based, with small research groups focused on specific domains: protein structure prediction, reinforcement learning, language models (Gemini), neuroscience-inspired AI, AI safety, and more. Teams have significant autonomy to define their research agendas, but coordination happens through regular cross-team seminars, reading groups, and a culture of internal peer review.

The research process looks more like academia than industry. Researchers propose projects, conduct experiments over months or years, publish papers at top venues, and present at internal seminars. The key difference from academia: the infrastructure is vastly better. Where a university researcher might wait weeks for a GPU allocation, a DeepMind researcher can spin up a TPU pod in minutes.

For engineers who value this type of [deep-work culture](https://jobsbyculture.com/values/deep-work) and [engineering-driven environment](https://jobsbyculture.com/values/eng-driven), DeepMind offers something genuinely rare — the chance to work on multi-year research programs that can win Nobel Prizes, with the compute and financial backing to actually execute on ambitious ideas.

## Who Thrives at DeepMind

Based on employee reviews, culture signals, and the organization's research output, here's the profile of someone who tends to thrive at DeepMind — and who might struggle.

### You'll love it if you...

-   **Want to do foundational research.** If you're motivated by publishing papers, advancing scientific understanding, and working on problems that take years to solve, DeepMind is one of the best places in the world for that.
-   **Value work-life balance at a frontier lab.** DeepMind's 4.0 WLB score is unmatched among frontier AI labs. London's European work culture means you can do cutting-edge AI research without the burnout culture of SF-based labs.
-   **Want Google-level comp without Google-level bureaucracy.** You'll still encounter some Google overhead, but day-to-day, DeepMind operates with more autonomy than most Google divisions.
-   **Care about scientific impact.** AlphaFold literally won a Nobel Prize. AlphaGo changed the field of reinforcement learning forever. If "my work changed science" is more motivating than "my work increased DAU," this is your place.
-   **Prefer a diverse, international team.** The London HQ creates a genuinely global, multicultural environment that's rare in AI labs.

### You might struggle if you...

-   **Want to ship products fast.** DeepMind's research-first culture means projects can take months or years. If you need the dopamine hit of weekly deploys, consider [Vercel](https://jobsbyculture.com/companies/vercel) or [Linear](https://jobsbyculture.com/companies/linear) instead.
-   **Hate corporate processes.** Despite the research-lab feel, you're still inside Google. Performance reviews, leveling, and some administrative overhead come with the territory.
-   **Want a flat startup hierarchy.** Google's L-level system defines your scope, comp, and career progression. It's well-structured but can feel rigid compared to truly flat organizations.
-   **Need full autonomy to publish.** Papers go through internal review before submission. If you're used to academic freedom to publish anything, anytime, the process may feel restrictive.
-   **Were deeply embedded in pre-merger Brain or DeepMind culture.** The 2023 merger created some cultural friction that's still being worked through on certain teams.

The consensus among employees, as captured in our [DeepMind profile](https://jobsbyculture.com/companies/deepmind): "Choose DeepMind if you want Nobel Prize-caliber research, Google-level pay, and the best work-life balance of any frontier AI lab — but be prepared for some corporate overhead."

## Open Positions at Google DeepMind

Google DeepMind currently has **10 open positions** across research, engineering, and operations. Roles span London (the majority), Mountain View, New York, Paris, and Zurich.

Popular role categories include:

-   **Research Scientists** — Reinforcement learning, protein structure, language models, neuroscience-inspired AI, and AI safety
-   **Research Engineers** — Building and scaling the infrastructure behind Gemini, AlphaFold, and next-generation models
-   **Software Engineers** — Distributed systems, TPU optimization, and production ML infrastructure
-   **Product Managers** — Translating research breakthroughs into Google products (Gemini, Search, Cloud)
-   **Ethics & Safety** — AI governance, responsible development, and safety evaluation

For the full list of live openings with location filters, visit the [DeepMind jobs page](https://jobsbyculture.com/jobs?company=deepmind) or explore all roles on the [DeepMind culture profile](https://jobsbyculture.com/companies/deepmind).

## Frequently Asked Questions About Working at Google DeepMind

What is the culture at Google DeepMind?+

Google DeepMind operates more like an elite research institution than a traditional tech company. The culture is research-first — scientists propose projects, run experiments over months or years, and publish at top venues like NeurIPS and Nature. Small research groups focus on specific domains including reinforcement learning, protein structure prediction (AlphaFold), language models (Gemini), and AI safety. Culture values include Deep Work, Learning, Engineering-Driven, Ethical AI, and Diversity. The intellectual freedom is genuine, but you’re still inside Google — performance reviews, leveling (L5–L7), and some corporate processes come with the territory. See our full [DeepMind culture profile](https://jobsbyculture.com/companies/deepmind).

What is Google DeepMind's Glassdoor rating in 2026?+

Google DeepMind has a **4.2 out of 5.0** Glassdoor rating. Sub-scores: Compensation & Benefits 4.5, Culture & Values 4.3, Work-Life Balance 4.0, Senior Management 4.0, and Career Opportunities 3.8. CEO Demis Hassabis has an 88% approval rating and 85% of employees recommend working there. For comparison, OpenAI has a 4.5 overall and Anthropic has a 4.4. See how all companies compare in our [culture directory](https://jobsbyculture.com/companies).

What is the work-life balance at Google DeepMind?+

Work-life balance at Google DeepMind is rated **4.0 out of 5.0** on Glassdoor — the best among all frontier AI labs. For comparison, Anthropic scores 3.7, OpenAI 3.6, and Perplexity 3.3. The London headquarters brings European work culture norms: generous holiday allowances, reasonable working hours, and genuine respect for personal time. If WLB is your top priority, see our [best AI companies for WLB rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026).

How much do Google DeepMind engineers get paid?+

Total compensation for research scientists and software engineers at Google DeepMind ranges from **$300k to $500k** (Google levels L5–L7). This includes base salary at or above 90th percentile, Google RSUs that vest monthly, 20+ PTO days, parental leave, 401(k) matching (US) or pension contributions (UK), on-site meals, and a generous learning stipend. Senior research scientists and principal engineers can exceed this range. See our [highest-paying AI companies rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

How many employees does Google DeepMind have in 2026?+

Google DeepMind has roughly **2,000+ research scientists and engineers** per public statements, with broader headcount estimates varying by source. The organization was formed from the 2023 merger of DeepMind (co-founded in London in 2010 by Demis Hassabis, Shane Legg, and Mustafa Suleyman) and Google Brain. The team is distributed across London (HQ), Mountain View, New York, Paris, and Zurich. See our [full AI company employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

Is Google DeepMind a good place to work for AI researchers?+

Google DeepMind is widely considered the top destination for AI researchers who want to work on fundamental, long-horizon problems. The team won the 2024 Nobel Prize in Chemistry for AlphaFold, and CEO Demis Hassabis is a Nobel laureate. You get the intellectual freedom of an elite research lab combined with Google’s compute, data, and financial resources. The trade-offs: career progression is tied to Google’s leveling system, publication goes through internal review, and some teams still have cultural friction from the 2023 Brain merger.

### Browse all 13,906 jobs from 118 companies

Find your next role at Google DeepMind or any of the 40 AI & tech companies in our culture directory.

[See DeepMind Jobs →](https://jobsbyculture.com/jobs?company=deepmind) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Dropbox in 2026: Virtual First, the Dash AI Pivot & Culture Reality

# Working at Dropbox in 2026: Virtual First, the Dash AI Pivot & Culture Reality

> Working at Dropbox in 2026: Virtual First remote policy, $2.5B revenue, 3.9 Glassdoor rating, the Dash AI pivot, and what 2,113 employees actually say about the culture.

Source: https://jobsbyculture.com/blog/working-at-dropbox-2026
Markdown: https://jobsbyculture.com/blog/working-at-dropbox-2026.md
Last updated: 2026-07-14

---
[Dropbox](https://jobsbyculture.com/companies/dropbox) is one of the defining companies of cloud computing. Founded in 2007 by Drew Houston and Arash Ferdowsi while they were at MIT, it started with one of the simplest product ideas in tech: a folder that syncs across your devices. That idea became a product used by hundreds of millions of people, a public company on NASDAQ (DBX), and an employer of roughly 2,113 people generating $2.521 billion in fiscal 2025 revenue.

But in 2026, the company that made file sync mainstream is trying to become something else entirely. Dropbox Dash — an AI-powered universal search tool — represents a bet that the company's future lies not in storing files but in organizing the fragmented digital workspace. Meanwhile, its "Virtual First" remote policy, adopted in 2020, has made Dropbox one of the most genuinely [remote-first](https://jobsbyculture.com/values/remote) companies in big tech. The result is a workplace that scores unusually well on quality-of-life metrics (4.2 work-life balance, 4.5 compensation) but carries a persistent cloud of strategic uncertainty — only 39% of employees have a positive business outlook.

We analyzed Dropbox's [company profile](https://jobsbyculture.com/companies/dropbox), 1,613 employee reviews, and public disclosures to give you an honest, layered picture of what it's actually like to work there in 2026.

## Dropbox at a Glance

Founded

2007

Founders

Drew Houston & Arash Ferdowsi (MIT)

Headquarters

San Francisco, CA (Virtual First — remote-first)

Public

NASDAQ: DBX

Revenue

~$2.5B revenue (2025)

Company Size

~2,113 employees (as of Dec 2025 10-K)

Glassdoor Rating

3.9 / 5.0 (1,613 reviews)

Work-Life Balance

4.2 / 5.0

Recommend to Friend

69%

Positive Outlook

39%

Work Model

Virtual First (remote-first since 2020)

Open Roles

[102 on JobsByCulture](https://jobsbyculture.com/jobs?company=dropbox)

The contrast between the day-to-day experience and the strategic sentiment is the defining tension at Dropbox. Employees overwhelmingly enjoy the work-life balance, the compensation, and the remote flexibility. They are far less confident about where the company is heading. Understanding that tension is essential for anyone evaluating a Dropbox offer in 2026.

## Virtual First: How Dropbox Actually Does Remote Work

Of everything that makes Dropbox distinctive as an employer, Virtual First is the most consequential. Announced in October 2020, it wasn't a pandemic-era half-measure or a temporary policy waiting to be reversed. Dropbox gave up the majority of its office space, redesigned its work processes around async communication, and committed to remote-first as a permanent operating model. In a landscape where most large tech companies have pulled employees back to the office 3–5 days a week, Dropbox has held the line.

Here's how it works in practice:

-   **Remote by default.** All individual work — coding, writing, analysis, planning — happens remotely. There is no expectation of daily in-office presence. Employees can live anywhere within their country of employment, and many have relocated away from traditional tech hubs.
-   **Dropbox Studios for collaboration.** Instead of traditional offices, Dropbox maintains "Studios" in San Francisco, Austin, Dublin, and other locations. These are purpose-built spaces for in-person collaboration sessions, team offsites, and community events — not for daily desk work. Teams typically gather at Studios quarterly or for specific project milestones.
-   **Core collaboration hours.** To prevent the chaos of fully async schedules, Dropbox designates core collaboration hours during which teams are expected to be available for meetings and synchronous work. Outside those windows, employees manage their own time.
-   **Async-first communication.** Documents, recorded video updates, and threaded discussions are the primary communication medium. The intent is that decisions and context should be accessible to anyone regardless of timezone, without requiring attendance at a specific meeting.

Employee Pro "Virtual First is the real deal — I've been fully remote for four years and there's been zero pressure to come back to an office. This isn't pandemic theater."

### The Pacific Time problem

Virtual First sounds ideal on paper, and for many employees it genuinely is. But there's a real tension that employee reviews consistently surface: the company still operates with a strong Pacific Time bias. Core collaboration hours, leadership availability, and the cadence of decision-making all tilt toward PST. For employees on the East Coast, this is manageable but noticeable — meetings cluster in the afternoon. For employees in Europe or further east, the experience degrades meaningfully. Multiple reviewers report working through lunch or staying online past 6 PM to overlap with West Coast colleagues.

This isn't a fatal flaw, but it's worth noting because it's the most common criticism of an otherwise excellent remote policy. If you're Pacific Time, Virtual First is nearly perfect. If you're in Dublin or beyond, the async promise doesn't fully deliver.

Employee Con "Virtual First is great if you're on the West Coast. I'm EST and I regularly take calls at 5–6 PM because that's when SF is most active. The async ideal doesn't match the reality for non-PST employees."

## The Dash Bet: From File Storage to AI

The strategic narrative at Dropbox in 2026 centers on one product: Dash. Launched initially as a beta in 2023, Dash is an AI-powered universal search tool that connects to a user's Google Drive, Slack, Notion, email, and dozens of other tools, then lets them search across everything from a single interface. The underlying technology uses large language models to understand context, surface relevant documents, and answer questions about a user's digital workspace.

The thesis is compelling: in a world where knowledge workers use 15–30 different tools, the most valuable product isn't another storage silo — it's the connective layer that makes all those tools searchable and accessible. If Dash succeeds, Dropbox transforms from a mature file-sync utility into an AI-native productivity platform. The addressable market expands dramatically.

The risk is equally real. Google is building similar capabilities into Workspace. Microsoft has Copilot. Dozens of AI startups are tackling the universal search problem. Dropbox is competing with companies that have far more AI talent, far more compute, and far more distribution. The core file storage business generates strong cash flow but isn't growing — it's the economic engine funding the Dash bet, not a growth story in itself.

This is the strategic context behind that 39% positive outlook number. Employees aren't unhappy with their day-to-day experience. They're uncertain about whether Dash will win in a market where the competition includes the most well-resourced companies in the world.

Employee Con "The Dash vision is exciting but the execution timeline keeps stretching. Meanwhile, Google and Microsoft are shipping AI search features to billions of users. It's hard to feel confident about our competitive position."

## Glassdoor Ratings Breakdown

Dropbox's 3.9 overall rating across 1,613 reviews tells one story. The sub-category breakdown tells a more interesting one — it reveals a company where the employee experience is significantly better than the overall number suggests, dragged down by strategic concerns rather than day-to-day dissatisfaction.

Compensation & Benefits 4.5

Work-Life Balance 4.2

Culture & Values 4.0

Overall Rating 3.9

Career Opportunities 3.5

Senior Management 3.2

The pattern is striking. Compensation at 4.5 is one of the strongest sub-scores in our [entire directory](https://jobsbyculture.com/companies) — on par with [Stripe](https://jobsbyculture.com/companies/stripe). Work-Life Balance at 4.2 is excellent, reflecting the Virtual First policy's genuine impact on employee well-being. Culture & Values at 4.0 is strong for a company of this size and maturity.

The drop-off happens in Career Opportunities (3.5) and Senior Management (3.2). The career score reflects a real dynamic: after two rounds of layoffs — 16% in April 2023 followed by another 20% in October 2024 — internal mobility slowed. There are fewer teams, fewer new projects, and fewer promotion slots. The senior management score captures frustration with strategic direction — employees who like their managers and their day-to-day work but question whether leadership has a winning plan for the AI era.

## Compensation & Equity at a Public Company

Dropbox pays well, and the data confirms it. The 4.5 compensation rating is among the highest in our directory, and it reflects a total comp package that competes with companies twice Dropbox's size.

4.5 / 5

Comp & Benefits Rating

69%

Recommend to Friend

39%

Positive Outlook

Total compensation for software engineers typically includes a competitive base salary, RSUs in publicly traded DBX stock, and comprehensive benefits. The equity component comes with the transparency and liquidity of a public company — no guessing about valuations or waiting for an IPO event. DBX has traded in a relatively stable range, which means the equity is predictable if not explosive. For employees who prioritize reliable, well-structured compensation over lottery-ticket equity, this is a genuine advantage.

Benefits are comprehensive: strong healthcare coverage, generous parental leave, a home office stipend (meaningful in a Virtual First company), and access to Dropbox Studios for in-person collaboration when desired. The combination of strong comp, genuine remote flexibility, and a 4.2 work-life balance score makes Dropbox unusually attractive on the quality-of-life dimension — a fact that employee reviews consistently acknowledge even when they express concerns about strategy.

### Tech Stack

Python Go Rust TypeScript React Kubernetes

Dropbox's engineering stack is notable for its depth and ambition. The company famously migrated off AWS onto its own custom infrastructure in 2016 — one of the most technically ambitious infrastructure projects in tech history. That heritage shows in the stack: Python and Go dominate the backend, Rust is used for performance-critical services (Dropbox was an early Rust adopter), and TypeScript with React powers the frontend. Kubernetes handles orchestration across the custom infrastructure. The Dash product adds significant ML/AI infrastructure on top of this foundation.

## The 39% Problem: Why Outlook Is Low Despite Great Day-to-Day

The single most revealing data point about Dropbox as an employer isn't the Glassdoor rating, the comp score, or the work-life balance number. It's the 39% positive business outlook. For context, this is one of the lowest outlook scores among companies in our directory, and it stands in stark contrast to the strong day-to-day experience metrics.

This disconnect has three root causes, all of which are honest and worth understanding:

-   **The core business is mature.** File sync and storage — the product that built Dropbox — is not a growth market. Revenue is stable and cash-generative, but it's not expanding in a way that excites employees about the company's trajectory. When your bread-and-butter product feels like it's plateaued, it's hard to feel bullish.
-   **The AI pivot faces formidable competition.** Dash is a good product with a clear thesis, but the universal search space is contested by Google, Microsoft, and a wave of AI-native startups with deep pockets and cutting-edge models. Employees can see the vision but aren't sure Dropbox can execute against those competitors.
-   **Two rounds of layoffs left marks.** Dropbox cut roughly 16% of its workforce (500 employees) in April 2023, followed by another 20% reduction (528 employees) announced in October 2024. While the company has stabilized at a leaner size, two rounds in under two years reduced institutional momentum and created a more cautious culture. Some employees describe a risk-aversion that didn't exist before the cuts — fewer ambitious bets, more conservative planning.

None of these factors make Dropbox a bad place to work. The day-to-day experience is genuinely strong. But they do mean that joining Dropbox requires a certain comfort with strategic ambiguity. You're joining a company that is well-run, pays well, and respects your time — but whose long-term trajectory is an open question. For some people, that's a dealbreaker. For others, especially those who prioritize quality of life and believe in the Dash thesis, it's a reasonable trade-off.

## Who Thrives at Dropbox (and Who Doesn't)

Based on the culture data, employee reviews, and the structural dynamics described above, here's who tends to do well at Dropbox — and who should look elsewhere.

-   **People who value genuine remote flexibility above all else.** If [remote work](https://jobsbyculture.com/values/remote) is your top priority and you want a company that has committed to it structurally — not just tolerates it — Dropbox is one of the strongest options in big tech. Virtual First is not performative. It's built into how the company operates.
-   **Engineers who want interesting problems without burnout.** The 4.2 WLB score is real. Dropbox respects boundaries in a way that many tech companies of similar scale do not. The engineering challenges are genuine — custom infrastructure, Rust at scale, a major AI product build — but the pace is sustainable. If you want hard problems without the 60-hour-week culture of a [Stripe](https://jobsbyculture.com/companies/stripe) or [Anthropic](https://jobsbyculture.com/companies/anthropic), Dropbox delivers.
-   **People comfortable with strategic ambiguity.** If you can separate your day-to-day satisfaction from the company's macro trajectory, you'll be fine. If you need to feel certain that your employer is on a winning path, the 39% outlook will gnaw at you.
-   **Pacific Time zone workers.** Let's be honest: Virtual First works best if you're in California, Oregon, or Washington. The further east you go, the more the PST bias erodes the async promise.

Dropbox is _not_ ideal for people who want rapid career advancement — the 3.5 career opportunities score and leaner org structure post-layoffs mean fewer promotion paths. It's also not the right fit for engineers who want to be at the bleeding edge of AI research (consider [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai)) or those who thrive in high-intensity, ship-at-all-costs environments (consider [Ramp](https://jobsbyculture.com/companies/ramp) or [Vercel](https://jobsbyculture.com/companies/vercel)).

## Open Positions at Dropbox

Dropbox currently has **38 open positions** on our platform, spanning engineering, product, design, and data science roles. Given the company's Virtual First policy, most of these roles are remote-eligible — making Dropbox one of the more geographically accessible employers in our [directory](https://jobsbyculture.com/companies).

For full details on Dropbox's open roles, culture values, and side-by-side comparisons with other companies, visit the [Dropbox culture profile](https://jobsbyculture.com/companies/dropbox) or [browse all open Dropbox jobs](https://jobsbyculture.com/jobs?company=dropbox).

## Frequently Asked Questions About Working at Dropbox

How many employees does Dropbox have in 2026?+

Dropbox has approximately 2,113 employees as of December 2025 (per its 10-K). The company reduced headcount significantly during the April 2023 layoffs (cutting about 16% of staff, ~500 employees) and again in October 2024 (a further 20%, or 528 employees), and has since stabilized at this leaner size. Dropbox is publicly traded on NASDAQ under the ticker DBX and generates approximately $2.5 billion in annual revenue. See our [Dropbox culture profile](https://jobsbyculture.com/companies/dropbox) for more detail.

What is Dropbox's Glassdoor rating in 2026?+

Dropbox has a 3.9 out of 5.0 overall Glassdoor rating based on 1,613 reviews. Notable sub-scores include Compensation & Benefits at 4.5/5, Work-Life Balance at 4.2/5, Culture & Values at 4.0/5, Career Opportunities at 3.5/5, and Senior Management at an estimated 3.2/5. 69% of employees recommend working there, though only 39% have a positive business outlook — a notable gap that reflects strategic uncertainty rather than day-to-day dissatisfaction.

Is Dropbox fully remote?+

Yes. Dropbox has been "Virtual First" — their term for remote-first — since October 2020. Employees can work from anywhere within their country of employment, with Dropbox Studios (physical spaces in San Francisco, Austin, Dublin, and other cities) available for quarterly team gatherings. The policy is genuinely remote-first, not hybrid in disguise, though a Pacific Time bias remains a real issue for non-West-Coast employees. See our [remote-friendly company directory](https://jobsbyculture.com/values/remote) for comparisons.

What is Dropbox Dash?+

Dash is Dropbox's AI-powered universal search product that connects to a user's Google Drive, Slack, Notion, email, and dozens of other tools, then lets them search across everything from a single interface. It uses large language models to understand context and surface relevant information. Dash represents Dropbox's strategic pivot from file storage to AI-native productivity — and whether it succeeds is the central question for the company's future.

What is Dropbox's compensation like?+

Dropbox's Compensation & Benefits rating is 4.5/5 — one of the highest sub-scores in our [directory](https://jobsbyculture.com/companies). Total compensation for software engineers typically ranges from $200,000 to $400,000+ depending on level, inclusive of base salary, RSUs (publicly traded DBX stock), and benefits. The combination of strong comp, genuine remote flexibility, and a 4.2/5 work-life balance makes Dropbox unusually attractive on the quality-of-life dimension.

Why is Dropbox's positive outlook so low?+

Only 39% of Dropbox employees have a positive business outlook — reflecting genuine uncertainty about whether the Dash AI pivot will succeed against Google, Microsoft, and dozens of AI startups. The core file storage business is mature and cash-generative but not growing. Employees enjoy the day-to-day experience but aren't always confident about the company's long-term competitive position. This is the central tension at Dropbox in 2026.

What is Dropbox's tech stack?+

Dropbox's engineering stack includes Python, Go, Rust, TypeScript, React, and Kubernetes. The company famously migrated from AWS to its own custom infrastructure in 2016. Rust is used for performance-critical backend services — Dropbox was an early adopter. The Dash product introduces significant ML/AI infrastructure on top of the existing stack. For engineers, the combination of systems-level work (Rust, custom infra) and modern AI/ML development makes the technical environment genuinely interesting.

### Explore Dropbox jobs with culture context

See Dropbox's 38 open roles alongside jobs from Notion, Linear, GitLab, and more — all with culture data and employee reviews.

[View Dropbox Profile →](https://jobsbyculture.com/companies/dropbox) [Browse Dropbox Jobs →](https://jobsbyculture.com/jobs?company=dropbox)

---

## Document: Working at Duolingo in 2026: Culture, Compensation & What Employees Say

# Working at Duolingo in 2026: Culture, Compensation & What Employees Say

> Working at Duolingo in 2026: ~900 employees, 4.2 Glassdoor rating, ~138M monthly active users, and what the product-obsessed, A/B-testing culture is really like inside the world

Source: https://jobsbyculture.com/blog/working-at-duolingo-2026
Markdown: https://jobsbyculture.com/blog/working-at-duolingo-2026.md
Last updated: 2026-07-14

---
Duolingo is one of those rare companies where the product and the mission are genuinely the same thing. Founded in 2011 by Luis von Ahn and Severin Hacker at Carnegie Mellon University, it has grown from a research project into the world’s most downloaded education app — over 1 billion lifetime downloads and ~138 million monthly active users (Q1 2026) learning 40+ languages through gamified lessons, streaks, and one very aggressive green owl. Publicly traded on NASDAQ (DUOL) with a market cap around $5.5 billion as of mid-2026, Duolingo has proven that free education can also be a great business.

But behind the playful brand and the meme-worthy push notifications, what is it actually like to work there? We pulled data from employee reviews, Duolingo’s engineering blog, and public disclosures to give you an honest picture of the company as an employer in 2026. Whether you’re evaluating an offer, preparing for an interview, or just curious about a company that somehow made language learning go viral, here’s what you need to know.

## Duolingo at a Glance

Founded

2011

Headquarters

Pittsburgh, PA

Founders

Luis von Ahn & Severin Hacker

Company Size

~900 employees

Valuation

~$5.5B (public, NASDAQ: DUOL)

Glassdoor Rating

4.2 / 5.0 (151 reviews)

Work-Life Balance

3.8 / 5.0

Recommend to Friend

76%

Open Roles

90 positions

Culture Values

[Product Impact](https://jobsbyculture.com/values/product-impact), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Learning](https://jobsbyculture.com/values/learning), [Social Impact](https://jobsbyculture.com/values/social-impact), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Equity](https://jobsbyculture.com/values/equity)

## The Founding Story: From CAPTCHA to Free Education

To understand Duolingo’s culture, you have to understand Luis von Ahn. Born and raised in Guatemala, he became a computer science professor at Carnegie Mellon and invented two things that billions of people have used without knowing his name: CAPTCHA and reCAPTCHA. The latter was sold to Google, where it was used to digitize books and train AI models. He literally gave away one of the most valuable pieces of internet infrastructure.

After reCAPTCHA, von Ahn asked a question that would shape the next decade of his life: how do you use the time people spend online to create something valuable for society? The answer became Duolingo — a language learning platform that would be free forever, funded by a premium subscription tier and ads rather than charging the people who need education most. Severin Hacker, a Swiss PhD student at CMU, joined as co-founder, and the two launched Duolingo in 2012.

This origin story matters because the mission isn’t corporate wallpaper at Duolingo. It’s the reason the company exists. When you talk to employees, the most common thing they mention isn’t the stock price or the perks — it’s the fact that hundreds of millions of people around the world are learning languages for free because of what they build every day. That sense of [genuine social impact](https://jobsbyculture.com/values/social-impact) at massive scale is Duolingo’s most powerful recruiting tool, and its most important cultural anchor.

## The Product Culture: Data Over Opinions

If the mission is Duolingo’s heart, the product culture is its brain. And that brain runs almost entirely on data.

Duolingo is one of the most rigorous A/B testing cultures in tech. Everything gets tested — lesson structure, notification timing, button placement, streak mechanics, reward animations, even the owl’s facial expressions. The philosophy is simple and absolute: data trumps opinions, regardless of who holds the opinion. A junior data scientist with a strong experiment result will win against a VP with a hunch. This is not just company rhetoric — employees consistently describe it as the defining feature of how decisions get made.

Employee Pro “Genuinely data-driven culture. Not ‘data-informed’ as a buzzword — experiments and metrics drive every product decision.”

The ML infrastructure backing this is substantial. Duolingo built “Birdbrain,” a custom machine learning system that powers adaptive learning — adjusting lesson difficulty, content selection, and review timing based on each learner’s performance patterns. It’s one of the more sophisticated personalization systems in consumer tech, processing learning signals from over a hundred million monthly active users to optimize outcomes at an individual level.

More recently, Duolingo launched Duolingo Max, integrating GPT-4 to enable roleplay conversations and AI-powered explanations. This wasn’t a bolt-on feature — it required rethinking how the product handles open-ended language interaction, something the structured lesson format wasn’t designed for. For engineers who care about [shipping features that reach massive audiences](https://jobsbyculture.com/values/product-impact), the scale here is hard to beat.

The flip side of this product intensity is that aesthetic taste and intuition take a back seat to metrics. If you’re the kind of builder who wants to ship something beautiful because it _feels right_, the constant demand for statistical significance can feel constraining. At Duolingo, beauty without data is just an untested hypothesis.

## Glassdoor Ratings Breakdown

Duolingo’s overall Glassdoor rating of 4.2 out of 5.0, based on 151 employee reviews, places it in the upper tier of companies in our [Culture Directory](https://jobsbyculture.com/companies). What’s particularly notable is the trajectory: software engineers specifically recommend the company at 89%, up 236% in the past 12 months. That kind of sentiment shift usually signals genuine cultural improvement, not just marketing.

Here’s how each sub-category breaks down:

Overall Rating 4.2

Culture & Values 4.2

Compensation & Benefits 4.0

Work-Life Balance 3.8

Career Opportunities 3.7

The pattern tells a clear story. Culture and overall ratings are strong — people like working here and believe in what they’re building. Compensation is solid at 4.0, reflecting competitive-but-not-top-of-market pay with meaningful RSU upside. The weaker scores in Work-Life Balance (3.8) and Career Opportunities (3.7) point to the areas where Duolingo’s shipping pace and relatively small size create friction. The promotion cycle was recently reduced to once per year, which multiple employees flag as a pain point.

~138M

Monthly Active Users

89%

Engineers Recommend

90%

Employee Retention

## The Work Reality: Lunches, Office Days & the Shipping Pace

Let’s talk about the things that make daily life at Duolingo distinctive — starting with one of the most unusual traditions in tech.

Since its first day as a company, Duolingo has paused all meetings from 12:30 to 1:30 PM for a communal lunch. The entire company eats together. This isn’t a cafeteria perk buried in a benefits page — it’s a cultural institution. No meetings are scheduled during lunch. Teams eat with people from other departments. The tradition has survived the company’s growth from a handful of people in a CMU lab to ~900 employees across multiple offices. Employees consistently cite it as one of the best things about working there.

Employee Pro “The communal lunch is genuinely special. You end up knowing people across the entire company in a way that doesn’t happen at other places.”

On the other side of the flexibility spectrum: Duolingo requires three days per week in the office. This is not a soft suggestion — it’s strictly enforced. If you’re looking for a fully remote or flexible-hybrid role, Duolingo is not the right fit. The company has offices in Pittsburgh (HQ), New York, Seattle, San Francisco, Berlin, and Beijing, and they expect you to be present.

The [shipping pace](https://jobsbyculture.com/values/ship-fast) is fast. Duolingo runs frequent release cycles, and the A/B testing culture means features are constantly being launched, measured, and iterated on. This creates genuine momentum — you can see the impact of your work within days, not quarters. But the pace also means that slower, more deliberate work can get deprioritized. Several employees note that the pressure to ship and hit metrics can spill into longer hours, particularly around launches or quarterly goals.

Employee Con “The shipping culture is exciting but can be relentless. There’s always another experiment to run, another metric to move.”

The tension between mission and pace is the central cultural question at Duolingo. The mission makes the pace feel meaningful — you’re not grinding to optimize ad clicks, you’re helping people learn. But the pace is still real, and the 3.8 WLB score reflects it. Software engineers specifically rate balance at 4.1, which is notably better than the company average — suggesting engineering has carved out healthier norms than some other departments.

## Compensation & Equity

Duolingo’s compensation philosophy is straightforward: competitive but not top-of-market. Total comp is roughly 80% of FAANG for equivalent roles. For a public company (NASDAQ: DUOL, market cap around $5.5B in mid-2026), the compensation package includes base salary plus RSUs that vest on a standard 4-year schedule. The 4.0 Glassdoor rating for Compensation & Benefits is solid — most employees feel fairly compensated relative to the mission and the work environment, even if a Google or Meta offer would be higher on paper.

Where Duolingo compensates beyond the paycheck is in the intangibles. The 2-week full-company winter break is a genuine reset — not a “we’re closed but Slack is still pinging” situation. The daily catered lunches save meaningful money over a year. Benefits are comprehensive, with strong healthcare coverage and parental leave.

The RSU component is worth considering carefully. As a public company, Duolingo’s equity is liquid and transparent — there’s no guessing game about when or if an IPO will happen. DUOL stock has been volatile but has trended upward over the long term, reflecting the company’s consistent revenue growth and expanding subscriber base. For candidates evaluating Duolingo against a pre-IPO startup, the liquidity and certainty of public equity is a meaningful advantage.

The 90% employee retention rate in 2025 tells you something important: even if compensation isn’t top-of-market, people aren’t leaving. That’s usually a signal that the total package — mission, culture, colleagues, growth — adds up to something that a 20% salary bump elsewhere can’t easily replace.

## Engineering at Duolingo

Engineering is by far Duolingo’s largest department: 347 engineers out of ~900 total employees, roughly 40% of headcount. That ratio tells you where the company’s priorities are. This is not a sales-led organization with engineering as a support function — it’s a company that builds product with [engineers at the center](https://jobsbyculture.com/values/eng-driven).

### Tech Stack

Python Kotlin Swift React DynamoDB TensorFlow

The backend runs primarily on Python with DynamoDB as the data layer. Mobile development is native — Kotlin for Android, Swift for iOS — which gives engineers deep platform expertise rather than cross-platform compromise. The web app uses React. The ML infrastructure, including Birdbrain, leans on TensorFlow and custom tooling built to handle the scale of over 100 million monthly active users generating learning signals in real time.

### What engineering looks like day-to-day

-   **Experiment-driven development.** Almost every feature ships behind an A/B test. Engineers don’t just write code — they define hypotheses, instrument metrics, analyze results, and iterate based on data. If you enjoy the full cycle from build to measure to learn, this is one of the best places in tech to do it.
-   **Small, autonomous teams.** Engineering is organized into small product teams with significant autonomy. Teams own their metrics end-to-end and have real agency over what they build and how they build it. The flat structure means less bureaucratic overhead than you’d find at a company 10x Duolingo’s size.
-   **ML is a first-class citizen.** The Birdbrain adaptive learning system, the GPT-4 integration for Duolingo Max, recommendation systems for content selection — ML isn’t a side project here. It’s core to the product, and ML engineers work closely with product teams rather than in an isolated research org.
-   **Scale challenges are real.** Serving personalized content to over 100 million monthly active users across dozens of languages, with real-time adaptive difficulty, is a genuinely hard distributed systems problem. If you want to work on systems that operate at consumer internet scale with the complexity of an education platform, this is a rare opportunity.

Employee Pro “As an engineer, you have real ownership over product decisions. The experimentation culture means your ideas get tested, not just debated.”

## Who Thrives at Duolingo (and Who Doesn’t)

Duolingo is a strong fit for a specific type of person. Based on the culture signals, employee reviews, and the company’s public values, here’s who tends to thrive:

-   **Product-minded engineers.** If you care as much about _why_ you’re building something as _how_, and you want to see your work reach hundreds of millions of people, Duolingo is one of the highest-impact places you can be. The experiment-driven culture means you’ll understand the impact of every feature you ship.
-   **Mission-driven builders.** The [social impact](https://jobsbyculture.com/values/social-impact) is real and tangible. If making education free and accessible genuinely motivates you — not as a nice-to-have but as a core reason to get out of bed — Duolingo’s culture will resonate deeply.
-   **Data enthusiasts.** If you love designing experiments, analyzing results, and letting numbers guide decisions, you’ll feel at home. The A/B testing culture isn’t just an engineering practice — it’s the company’s operating system.
-   **People who enjoy community.** The communal lunch tradition, the collaborative team dynamics, and the 90% retention rate all point to a workplace where people genuinely like their colleagues. If you value belonging and camaraderie alongside technical challenge, Duolingo delivers.

Duolingo is _not_ ideal for:

-   **People who need full remote.** The 3-day in-office requirement is strict. If location flexibility is your top priority, consider companies like [Notion](https://jobsbyculture.com/companies/notion) or [Linear](https://jobsbyculture.com/companies/linear) instead.
-   **Candidates optimizing for top-of-market comp.** At ~80% of FAANG, Duolingo’s total comp is good but not exceptional. If maximizing earnings is your primary goal, the mission premium won’t close the gap.
-   **Intuition-driven designers and builders.** If your best work comes from creative instinct rather than metric validation, the A/B testing culture may feel constraining. Every major product decision at Duolingo gets tested, and the data wins.
-   **People on a fast promotion track.** With promotions now once per year at a ~900-person company, advancement opportunities are more limited than at a hypergrowth startup. The Career Opportunities score of 3.7 reflects this reality.

## Open Positions at Duolingo

Duolingo currently has **65 open positions** listed on our platform, spanning engineering, ML, product, and design roles across Pittsburgh, New York, and other offices. If the data-driven product culture and education mission resonate with you, the company is actively hiring — and the 89% engineer recommendation rate suggests this is a good moment to join.

For full details on Duolingo’s open roles, culture values, and side-by-side comparisons with other companies, visit the [Duolingo culture profile page](https://jobsbyculture.com/companies/duolingo).

## Frequently Asked Questions About Working at Duolingo

How many employees does Duolingo have in 2026?+

Duolingo has approximately 900 employees as of 2026. Engineering is the largest department at 347 people — roughly 40% of the entire company. The company maintains a 90% employee retention rate, which is unusually high for tech. Duolingo has grown steadily since its 2021 IPO while keeping headcount relatively lean for a company with over 100 million monthly active users.

What is Duolingo’s Glassdoor rating in 2026?+

Duolingo has a 4.2 out of 5.0 overall Glassdoor rating based on 151 reviews, with 76% of employees recommending it to a friend. Software engineers specifically rate it even higher — 89% recommend, up 236% in the past 12 months. Culture & Values scores 4.2, Compensation 4.0, Work-Life Balance 3.8, and Career Opportunities 3.7.

Is Duolingo remote-friendly?+

No. Duolingo requires 3 days per week in the office — this is strictly enforced. The company has offices in Pittsburgh (HQ), New York, Seattle, San Francisco, Berlin, and Beijing. If full remote is a priority, Duolingo is not the right fit. The communal lunch tradition, which requires everyone to be physically present, is one reason the company values in-person work.

What is Duolingo’s compensation like for engineers?+

Duolingo’s total compensation is roughly 80% of FAANG for equivalent roles. As a public company (NASDAQ: DUOL, market cap ~$5.5B in mid-2026), compensation includes base salary plus RSUs on a standard 4-year vesting schedule. The company also offers a 2-week full-company winter break, daily catered lunches, and comprehensive benefits. The Comp & Benefits Glassdoor score is 4.0/5.

What is Duolingo’s engineering culture like?+

Engineering is the largest department at Duolingo (347 of ~900 employees). The culture is intensely product-driven — engineers A/B test everything and data trumps opinions. The ML team built “Birdbrain,” a custom adaptive learning system, and the company integrated GPT-4 for Duolingo Max features. The stack includes Python, Kotlin, Swift, React, DynamoDB, and TensorFlow. Small, autonomous teams own their metrics end-to-end.

What is work-life balance like at Duolingo?+

Work-life balance is rated 3.8/5 on Glassdoor, with software engineers rating it 4.1/5. Duolingo offers a 2-week full-company winter break and daily communal lunches (no meetings from 12:30–1:30 PM). However, the shipping pace is fast and performance expectations are high. Promotions happen once per year, which some employees find limiting. The 90% retention rate suggests most people find the overall trade-off worthwhile.

### Explore Duolingo’s 65 open roles

See all Duolingo positions alongside jobs from companies like Notion, Figma, HubSpot, and more — all with culture context.

[View Duolingo Jobs →](https://jobsbyculture.com/jobs?company=duolingo) [Full Culture Profile →](https://jobsbyculture.com/companies/duolingo)

---

## Document: Working at Elastic in 2026: Culture, Compensation & What Employees Say

# Working at Elastic in 2026: Culture, Compensation & What Employees Say

> Working at Elastic in 2026: ~4,000 employees across 40+ countries, 4.0 Glassdoor rating, fully distributed since founding, open-source DNA, and what employees actually say about the ELK stack company.

Source: https://jobsbyculture.com/blog/working-at-elastic-2026
Markdown: https://jobsbyculture.com/blog/working-at-elastic-2026.md
Last updated: 2026-07-14

---
Most companies that call themselves “remote-first” made that decision sometime around March 2020. Elastic made it in 2012. When Shay Banon open-sourced Elasticsearch from his apartment in Amsterdam, the first contributors were scattered across Europe and the United States. There was no office to go back to — just a GitHub repo, an IRC channel, and a shared conviction that search infrastructure could be radically better. The company that grew out of that project never bothered getting a headquarters, and fourteen years later, it still doesn’t have one.

Today Elastic (NYSE: ESTC) employs roughly 4,000 people in more than 40 countries, building the search, observability, and security platform that powers everything from Wikipedia’s search bar to Uber’s real-time monitoring. It went public in 2018, weathered the cloud licensing wars, navigated a 13% workforce reduction in late 2022, and emerged as one of the few genuinely distributed public companies in tech. But what does it actually feel like to work there? We pulled data from 861 employee reviews, engineering blog posts, and public filings to give you an honest picture of the company as an employer in 2026.

## Elastic at a Glance

Founded

2012

Headquarters

None (fully distributed)

Founder

Shay Banon

Company Size

~4,000 employees

Public Market

NYSE: ESTC

Glassdoor Rating

4.0 / 5.0 (861 reviews)

Work-Life Balance

4.1 / 5.0

Recommend to Friend

77%

Open Roles

197 positions

Culture Values

[Remote](https://jobsbyculture.com/values/remote), [Open Source](https://jobsbyculture.com/values/open-source), [Work-Life Balance](https://jobsbyculture.com/values/wlb), [Async](https://jobsbyculture.com/values/async), [Equity](https://jobsbyculture.com/values/equity)

## The Distributed DNA

There is a meaningful difference between a company that went remote and a company that was born distributed. Elastic is the latter, and it shows in everything from how meetings are run to how promotions work to how the company thinks about time zones.

Because there was never a central office, Elastic never developed the headquarters-centric habits that plague most “remote-friendly” companies. There’s no implicit advantage to being in a particular city. Decisions aren’t made in hallway conversations that remote employees miss. The [async communication](https://jobsbyculture.com/values/async) practices — heavy documentation, recorded meetings, written proposals over live debates — aren’t bolted-on accommodations for remote workers. They’re how the company has always operated.

Employee Pro “Elastic is genuinely distributed, not just ‘remote allowed.’ I’ve worked here for four years across two countries and never felt like a second-class citizen compared to someone in a specific office.”

The practical reality of working across 40+ countries means that synchronous meetings are treated as expensive. Teams default to written communication — GitHub issues, design documents, async video updates — and reserve live meetings for discussions that genuinely benefit from real-time interaction. Most employees report having far fewer meetings than at previous companies, which creates meaningful blocks of [uninterrupted work time](https://jobsbyculture.com/values/wlb).

The trade-off is real, though. Distributed work at this scale requires discipline and intentionality. Several employees note that it can feel isolating, especially for people who are new to the company or early in their careers. Onboarding remotely into a 4,000-person organization spread across every time zone requires more self-direction than joining a team that sits together in an office. If you thrive on spontaneous collaboration and watercooler serendipity, the Elastic model may feel lonely.

Employee Con “Being fully remote is great for flexibility, but it can be hard to build deep relationships with colleagues. You have to be proactive about it — the company provides tools, but the effort is on you.”

## “Home, Dinner” and the Source Code

Elastic’s internal values framework is called the “Source Code” — a deliberate nod to the company’s open-source origins. It includes principles like transparency, collaboration, and balance. But the value that employees mention most often, and the one that most concretely affects daily life, is “Home, Dinner.”

The idea is simple: you should be home for dinner with your family. Not as an aspiration or a nice-to-have, but as a genuine expectation. In practice, this means that evening meetings across time zones are actively discouraged, on-call rotations are structured to minimize after-hours disruption, and managers are expected to model sustainable working hours rather than rewarding heroic late-night efforts.

Employee Pro “Home, Dinner is not just a slogan. My manager actively pushes back if I try to schedule late calls. The culture genuinely respects personal time in a way I haven’t seen at other companies.”

The 4.1 Work-Life Balance score on employee reviews — strong for any tech company, exceptional for one this size — suggests that “Home, Dinner” is more than marketing. Combined with the distributed model and async communication norms, Elastic offers one of the more genuinely flexible work environments among public tech companies. You set your own hours, you work from wherever you are, and the culture actively protects your personal time. For parents, caregivers, or anyone who values autonomy over their schedule, this is a significant draw.

## Glassdoor Ratings Breakdown

Elastic’s overall rating of 4.0 out of 5.0, based on 861 employee reviews, places it solidly in the upper tier of companies in our [Culture Directory](https://jobsbyculture.com/companies). With 77% of employees recommending the company and 71% expressing a positive business outlook, the sentiment is clearly favorable — though not without some areas of tension.

Here’s how each sub-category breaks down:

Overall Rating 4.0

Compensation & Benefits 4.3

Work-Life Balance 4.1

Culture & Values 4.0

Career Opportunities 3.7

The pattern is telling. Compensation & Benefits leads at 4.3 — employees feel well-paid, which tracks with the strong RSU packages and competitive base salaries that come with being a mature public company. Work-Life Balance at 4.1 validates the “Home, Dinner” ethos. Culture & Values at 4.0 reflects genuine appreciation for the distributed model and open-source roots, tempered by some organizational friction from recent leadership changes. Career Opportunities at 3.7 is the weak spot — a common challenge at companies this size where growth has slowed and the org chart has become more complex.

~4,000

Employees Worldwide

40+

Countries

4.1

Work-Life Balance

## The Open-Source Tension

You cannot understand Elastic without understanding the licensing saga. It is the single most defining — and divisive — event in the company’s recent history, and it shapes how both employees and the developer community think about the company today.

The short version: Elasticsearch was originally released under the Apache 2.0 license, one of the most permissive open-source licenses available. This made it wildly popular — the ELK stack (Elasticsearch, Logstash, Kibana, plus Beats) became the de facto standard for log management and search infrastructure. Millions of developers used it. Amazon Web Services saw the opportunity and launched Amazon Elasticsearch Service, a managed version that competed directly with Elastic’s own cloud offering without contributing anything back to the project.

In 2021, Elastic changed the license to SSPL (Server Side Public License) and the Elastic License, which restricted cloud providers from offering managed Elasticsearch as a service. AWS forked the project as “OpenSearch.” The open-source community was divided — some supported Elastic’s right to protect its business, others saw it as a betrayal of the open-source social contract.

Then in 2024, Elastic relicensed again — this time to AGPL (GNU Affero General Public License), an OSI-approved license. The company framed this as a return to “true” open source, though AGPL’s copyleft requirements sparked another round of debate about what “[open source](https://jobsbyculture.com/values/open-source)” really means for infrastructure software that runs in the cloud.

For current and prospective employees, the licensing history matters for two reasons. First, it demonstrates that Elastic takes its open-source identity seriously — seriously enough to make painful, publicly debated decisions about it. Second, the whiplash of three licensing changes in four years reflects a company still figuring out how to balance its community roots with its commercial reality. Some employees find the open-source mission inspiring; others feel the licensing drama has been a distraction from building great products.

## Compensation & Equity

Elastic’s compensation philosophy is one of the company’s genuine strengths. The 4.3 Glassdoor score for Compensation & Benefits is the highest sub-score, and based on employee-reported compensation data, total comp for engineers ranges from approximately $161K to $386K depending on level, role, and location.

As a public company, Elastic’s [equity](https://jobsbyculture.com/values/equity) component is straightforward: RSUs that vest on a standard schedule, with transparent market pricing. There’s no guessing game about whether a liquidity event will happen or what your shares might be worth — ESTC trades on the NYSE and you can check the price any time. For candidates comparing Elastic against pre-IPO startups, the certainty and liquidity of public equity is a meaningful advantage, even if the upside potential is smaller.

Employee Pro “Compensation is very competitive, especially for a fully remote company. The RSU grants are meaningful, and the company does market adjustments to stay competitive. Benefits are solid across all the countries I’ve seen.”

The distributed model also means that compensation is adjusted by location. Elastic uses geo-based pay bands, which means an engineer in San Francisco earns more than one doing the same work in Lisbon. This is standard practice for distributed companies, but it’s worth understanding before you evaluate an offer. The flip side is that for engineers in lower-cost areas, Elastic’s compensation still tends to be well above local market rates — combining Silicon Valley-grade equity with a lower cost of living can create a very attractive total package.

Benefits are comprehensive and adapted to each country’s norms. The company offers generous PTO, parental leave, and a home office stipend for setting up your workspace. Several employees highlight the wellness and mental health benefits as genuinely useful, not just checkbox items.

## Engineering at Elastic

Engineering is Elastic’s largest organization. This tells you something important about the company’s DNA: even as Elastic has grown into a multi-product platform company, engineering remains the center of gravity.

### Tech Stack

Java Go TypeScript React Kubernetes Elasticsearch Kibana

Elasticsearch itself is written in Java — one of the largest and most complex Java codebases in the open-source world. If you enjoy working on distributed systems at the JVM level, few projects offer this depth. The agent and data shipping layer (Beats, Elastic Agent) is primarily Go. Kibana, the visualization and analytics frontend, is a large TypeScript/React application. Infrastructure runs on Kubernetes across multiple cloud providers.

### What engineering looks like day-to-day

-   **Deep systems work.** Elasticsearch is a distributed search and analytics engine that handles petabytes of data in production for thousands of customers. The engineering challenges — consensus algorithms, shard management, query optimization, real-time indexing — are genuinely hard computer science problems, not CRUD APIs with a framework on top.
-   **Open-source development cycle.** Much of the engineering work happens in the open. Pull requests are public, design decisions are documented in GitHub issues, and the community provides real-time feedback on changes. This transparency can feel exposing at first, but engineers who’ve worked in open-source environments consistently cite it as one of the best parts of the job.
-   **Multi-product complexity.** Elastic isn’t a single-product company anymore. The platform spans search, observability (logs, metrics, APM), and security (SIEM, endpoint protection). Engineers may work on one product area, but the shared infrastructure means understanding how changes affect the broader ecosystem.
-   **Async-first engineering culture.** Code reviews, design discussions, and technical decisions happen asynchronously by default. This creates longer feedback loops than you’d get in a co-located team, but it also means deeper, more thoughtful reviews and less drive-by decision-making.

Employee Pro “The engineering challenges at Elastic are genuinely interesting. Working on a distributed system at this scale, in the open, with real users giving you feedback — it’s a rare combination.”

## The Reality Check

No honest assessment of Elastic in 2026 can skip the harder truths. The company has been through significant turbulence, and it shows in the employee sentiment data.

In November 2022, Elastic laid off approximately 400 employees — roughly 13% of the workforce at the time. CEO Ash Kulkarni attributed the cuts to a tightening macro environment in which small and medium businesses were reducing software spend. The company also incurred a smaller restructuring charge (~$4M) in FY2024 to realign priorities, though no specific percentage cut was disclosed. Employee reviews from the post-2022 period mention lowered morale and uncertainty about direction; the company has since resumed growth.

Leadership changes have also introduced friction. Several reviews mention a shift toward more top-down decision-making and increased micromanagement in some teams — a departure from the flat, trust-based culture that originally defined Elastic. The company has grown significantly, and some of the startup-era autonomy has inevitably been replaced by process and structure. Whether that’s a necessary maturation or a cultural regression depends on your perspective and your team.

Employee Con “Some managers have brought a more controlling style that clashes with the company’s distributed culture. When you’re remote, micromanagement feels even worse because it signals a lack of trust.”

The Career Opportunities score of 3.7 also deserves attention. At a company with roughly 4,000 employees that has navigated workforce reductions in recent years, upward mobility is naturally constrained. Several employees mention that promotion paths are unclear, that growth can stall without proactive effort, and that the best opportunities tend to cluster in certain product areas (particularly cloud and AI/ML). If rapid career progression is your top priority, a faster-growing company may offer more runway.

## Who Thrives at Elastic (and Who Doesn’t)

Based on the culture signals, employee reviews, and the company’s values, here’s who tends to do well at Elastic:

-   **Self-directed remote workers.** If you’ve done [distributed work](https://jobsbyculture.com/values/remote) before and know how to structure your own day, manage your own energy, and communicate asynchronously, Elastic’s model will feel like coming home. The company has fourteen years of practice at this — the infrastructure and norms are mature.
-   **Systems engineers who love depth.** If you want to work on genuinely hard distributed systems problems — consensus, replication, query planning, real-time analytics at petabyte scale — Elastic is one of the best places in the industry to do it. The codebase is deep, the problems are real, and the users are demanding.
-   **Open-source enthusiasts.** If building in public, engaging with a developer community, and contributing to infrastructure that millions of people depend on appeals to you, Elastic’s [open-source DNA](https://jobsbyculture.com/values/open-source) is genuine — complicated licensing history and all.
-   **Parents and caregivers.** The “Home, Dinner” philosophy, combined with fully distributed work and [async communication](https://jobsbyculture.com/values/async), creates one of the most genuinely flexible environments for people balancing work with family responsibilities. The 4.1 WLB score backs this up.

Elastic is _not_ ideal for:

-   **People who need in-person energy.** There’s no office to go to. If you draw energy from physical proximity to colleagues, spontaneous whiteboard sessions, or a social workspace, the fully distributed model will feel isolating regardless of how good the tools are.
-   **Fast-track career seekers.** The 3.7 Career Opportunities score and organizational flatness mean that promotion paths can be unclear. If you want to go from IC to manager to director in three years, a hypergrowth startup will offer more structural opportunity.
-   **People uncomfortable with ambiguity.** The licensing changes, leadership transitions, and ongoing tension between open-source idealism and commercial pragmatism mean that Elastic’s strategic direction can feel uncertain at times. If you need a company with a crystal-clear, unchanging narrative about where it’s going, the ambiguity may be frustrating.
-   **Candidates who want top-of-market comp in high-cost cities.** While Elastic pays well overall, the geo-based compensation model means that San Francisco or New York-based employees may earn less than peers at local companies like Stripe or Databricks. The remote flexibility is the trade-off.

## Open Positions at Elastic

Elastic currently has **177 open positions** listed on our platform, spanning engineering, product, sales, and operations roles across all regions. As a fully distributed company, most roles are open to candidates in any of the 40+ countries where Elastic operates. If the distributed-first culture, open-source mission, and strong compensation resonate with you, the company is actively hiring.

For full details on Elastic’s open roles, culture values, and side-by-side comparisons with other companies, visit the [Elastic culture profile page](https://jobsbyculture.com/companies/elastic).

## Frequently Asked Questions About Working at Elastic

How many employees does Elastic have in 2026?+

Elastic has approximately 4,000 employees as of fiscal 2026 (year ended April 2026), up about 13% from the previous year. The company is fully distributed across 40+ countries with no physical headquarters. Elastic went through layoffs of ~400 people (13% of workforce) in November 2022 but has since resumed growth.

What is Elastic’s Glassdoor rating in 2026?+

Elastic has a 4.0 out of 5.0 overall Glassdoor rating based on 861 reviews. 77% of employees recommend it to a friend, and 71% have a positive business outlook. Compensation & Benefits scores highest at 4.3/5, followed by Work-Life Balance at 4.1/5, Culture & Values at 4.0/5, and Career Opportunities at 3.7/5.

Is Elastic fully remote?+

Yes. Elastic has been fully distributed since its founding in 2012. There is no corporate headquarters — employees work from 40+ countries. This is not a COVID-era policy; Elastic was built as a distributed company from day one. The company has developed robust async communication practices, a “Home, Dinner” philosophy protecting personal time, and mature remote onboarding processes.

What is Elastic’s compensation like for engineers?+

Elastic offers strong compensation for a distributed company. Based on employee-reported data, total compensation for engineers ranges from $161K to $386K depending on level and location. As a public company (NYSE: ESTC), compensation includes base salary plus RSUs. Elastic uses geo-based pay bands, so compensation varies by location. The Compensation & Benefits Glassdoor score of 4.3/5 is the company’s highest sub-score.

What happened with Elastic’s open-source licensing?+

Elastic relicensed Elasticsearch and Kibana to AGPL in 2024, after previously switching from Apache 2.0 to SSPL/Elastic License in 2021 to prevent cloud providers from offering managed Elasticsearch without contributing back. AWS forked the project as OpenSearch. The AGPL move was positioned as a return to OSI-approved open-source licensing, though it sparked significant community debate. The licensing history reflects the broader tension in infrastructure software between open-source idealism and commercial sustainability.

Did Elastic have layoffs?+

Yes. Elastic laid off approximately 400 employees in November 2022, roughly 13% of the workforce at the time, citing a tightening macro environment and reduced SMB spend. The company also incurred a smaller restructuring charge in fiscal 2024 to realign priorities. Employee reviews from these periods mention lowered morale and uncertainty, but the company has since resumed growth.

### Explore Elastic’s 177 open roles

See all Elastic positions alongside jobs from companies like GitLab, PostHog, Cloudflare, and more — all with culture context.

[View Elastic Jobs →](https://jobsbyculture.com/jobs?company=elastic) [Full Culture Profile →](https://jobsbyculture.com/companies/elastic)

---

## Document: ElevenLabs in 2026: ~880 Employees, Remote-First, Salary & Culture

# ElevenLabs in 2026: ~880 Employees, Remote-First, Salary & Culture

> Working at ElevenLabs in 2026: ~880 employees, remote-first across 30+ countries, 4.3 Glassdoor (37 reviews), AI voice synthesis pioneers, and what the intense ship-fast culture is really like inside.

Source: https://jobsbyculture.com/blog/working-at-elevenlabs-2026
Markdown: https://jobsbyculture.com/blog/working-at-elevenlabs-2026.md
Last updated: 2026-07-14

---
[ElevenLabs](https://jobsbyculture.com/companies/elevenlabs) is the company that made synthetic voices sound real. Founded in 2022 by Mati Staniszewski and Piotr Dabkowski — two Polish engineers who met at a machine learning research lab — ElevenLabs has grown from a side project in voice cloning to the dominant platform in AI audio. Text-to-speech, voice cloning, real-time dubbing, sound effects generation: if it involves AI and audio, ElevenLabs is almost certainly the company that set the benchmark.

But behind the product demos and the viral voice clones, what is it actually like to work there? We analyzed data from ElevenLabs' [company profile](https://jobsbyculture.com/companies/elevenlabs), Glassdoor reviews, public employee accounts, and the company's hiring patterns to give you an honest picture. Whether you're evaluating an offer, weighing ElevenLabs against another AI lab, or trying to understand the culture of one of the fastest-moving companies in generative AI, here's what you need to know.

## The Founders: From Poland to Voice AI Dominance

ElevenLabs' origin story is inseparable from its founders' backgrounds. Mati Staniszewski and Piotr Dabkowski are both Polish, and they built the company around a frustration that many multilingual people share: the quality of dubbed content was terrible. Watching Hollywood films dubbed into Polish, they noticed how much meaning and emotion was lost in translation. The founding thesis was simple — use AI to make synthetic speech that actually sounds human, preserving the emotion, cadence, and character of the original voice.

The timing was perfect. ElevenLabs launched just as large language models were making generative AI mainstream, and the demand for high-quality synthetic voices exploded across content creation, accessibility, gaming, and enterprise applications. The company raised aggressively, scaled its research team, and shipped products at a pace that left competitors struggling to keep up. By 2026, ElevenLabs has grown to roughly 880 employees distributed across more than 30 countries (and reached an $11B valuation in February 2026 via a $500M Series D round) — a genuinely global, [remote-first](https://jobsbyculture.com/values/remote) operation.

The Polish roots matter for understanding the culture. There's a directness and engineering pragmatism that runs through the company. Staniszewski has described the culture as one where "the best idea wins, regardless of who proposes it" — and the flat, meritocratic structure reflects an Eastern European tech sensibility that prizes technical ability over credentials or corporate polish.

## ElevenLabs at a Glance

Founded

2022

Headquarters

Remote-first (London / New York origins)

Founders

Mati Staniszewski (CEO) & Piotr Dabkowski (CTO)

Company Size

~880 employees

Glassdoor Rating

4.3 / 5.0 (37 reviews)

Work-Life Balance

3.7 / 5.0

CEO Approval

High (Mati Staniszewski)

Recommend to Friend

82%

Open Roles

112

Culture Values

[Ship Fast](https://jobsbyculture.com/values/ship-fast), [Remote](https://jobsbyculture.com/values/remote), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Product Impact](https://jobsbyculture.com/values/product-impact), [Ethical AI](https://jobsbyculture.com/values/ethical-ai)

Among the companies in our [Culture Directory](https://jobsbyculture.com/companies), ElevenLabs occupies a distinctive position: a genuinely remote-first AI company that [ships fast](https://jobsbyculture.com/values/ship-fast), works on frontier research, and has built a consumer product that millions of people actually use. The closest cultural comparisons are companies like [Mistral](https://jobsbyculture.com/companies/mistral) (European AI lab, fast-moving) and [DeepL](https://jobsbyculture.com/companies/deepl) (European, language-focused AI), though ElevenLabs' remote-first model and consumer-facing product make it more accessible to a global talent pool.

## Remote-First Reality: 30+ Countries, One Codebase

ElevenLabs is one of the few AI companies at scale where "remote-first" actually means remote-first. This isn't a San Francisco company with a remote policy bolted on. The team is distributed across more than 30 countries, with significant clusters in Poland, the UK, the US, and across Western and Eastern Europe. There is no mandatory headquarters, no required office days, and no expectation that you'll relocate.

This has real implications for day-to-day work. Collaboration is primarily asynchronous, with documentation and written communication carrying more weight than real-time meetings. The company leans heavily on tools like Notion, Slack, and GitHub for coordination, and most teams operate with overlapping windows of availability rather than synchronized schedules. For engineers in Warsaw or Berlin, this means a European-friendly cadence. For engineers in New York or San Francisco, it means accepting that your European colleagues won't be on Slack at 4pm Pacific.

Employee Pro "Genuinely remote-first — not 'remote-friendly' or 'flexible.' The team is distributed across 30+ countries and the async culture actually works."

The remote model also shapes hiring. ElevenLabs can recruit top AI researchers and engineers from anywhere in the world — a significant competitive advantage when frontier ML talent is the scarcest resource in tech. Rather than competing for the same Bay Area talent pool as [OpenAI](https://jobsbyculture.com/companies/openai) and [Anthropic](https://jobsbyculture.com/companies/anthropic), ElevenLabs can hire exceptional researchers from Krakow, Bucharest, or Bangalore. The trade-off is the coordination overhead that comes with any distributed team, and some reviewers note that the remote setup can feel isolating, especially for more junior employees who benefit from in-person mentorship.

## Engineering Culture & the Voice AI Stack

ElevenLabs is, at its core, a deep-tech AI company. The engineering challenges are genuinely hard — real-time voice synthesis with human-level quality, cross-lingual voice cloning that preserves emotion, and low-latency streaming for conversational AI applications. This is not a company wrapping API calls around someone else's model. ElevenLabs trains its own foundational voice models, and the research team publishes work that moves the field forward.

### Tech Stack

Python PyTorch CUDA TypeScript React Kubernetes GCP

The ML stack is Python and PyTorch with heavy GPU compute, as you'd expect from a company doing generative model training at scale. The product and platform layers use TypeScript and React, with Kubernetes orchestrating inference workloads across cloud providers. The [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture means researchers and engineers have significant autonomy in choosing tools and approaches — there's less top-down standardization than you'd find at a larger company, and more emphasis on solving hard problems with the right tool for the job.

### How engineering works at ElevenLabs

-   **Research and product are tightly coupled.** Unlike some AI labs where research operates independently, ElevenLabs pushes research directly into production. A voice synthesis breakthrough can go from paper to shipped product in weeks, not quarters. This is both exciting and demanding — the boundary between "research" and "production engineering" is intentionally blurred.
-   **Small, autonomous teams.** Engineering teams are small and own their domains end-to-end. There is minimal bureaucratic overhead between identifying a problem and shipping a solution. This is a [ship-fast](https://jobsbyculture.com/values/ship-fast) culture where velocity is valued, and engineers are expected to make decisions rather than wait for approvals.
-   **High talent density.** Multiple reviewers cite the caliber of colleagues as the single best thing about working at ElevenLabs. The hiring bar is high, and the result is a team where technical conversations are substantive and challenging. For engineers who thrive on being surrounded by sharp people, this is a major draw.
-   **GPU-intensive workloads.** If you're interested in working at the intersection of ML research and systems engineering — training large models, optimizing inference latency, building real-time streaming pipelines — ElevenLabs offers problems that few other companies can match.

Employee Pro "Cutting-edge voice AI technology — you're working on problems that don't have solutions in textbooks yet"

## Work-Life Balance: The Honest Truth

This is where the picture gets complicated. ElevenLabs' Glassdoor work-life balance score of 3.7 out of 5.0 is below average for AI companies in our directory, and the qualitative reviews paint a consistent picture: this is a company where 60-hour weeks are not unusual, and the pressure to ship is relentless.

The remote-first setup provides location flexibility, but it does not translate to reduced working hours. If anything, the combination of distributed time zones and fast shipping cadence can make it harder to fully disconnect. When your colleagues in Europe are wrapping up their day and your US-based teammates are just getting started, the window for "off" time can shrink.

Employee Con "Work-life balance is genuinely poor — 60+ hour weeks are common, and the pace is unrelenting"

This is not a bug in ElevenLabs' culture — it's a feature. The company is in a fierce race with competitors like PlayHT, Cartesia, and well-funded labs at Google and Meta to own the AI audio space. Speed of execution is treated as a core competitive advantage, and the team prioritizes shipping over sustainability. For people who are energized by intensity and want to work on a product that is defining a category, this can be deeply motivating. For people who need clear boundaries between work and life, it's a serious concern.

The 3.7 WLB score places ElevenLabs in the bottom third of our directory. For comparison, [Notion](https://jobsbyculture.com/companies/notion) scores 4.2, [Linear](https://jobsbyculture.com/companies/linear) scores 4.4, and [HubSpot](https://jobsbyculture.com/companies/hubspot) scores 4.1. If work-life balance is your top priority, ElevenLabs is probably not the right fit. If you're willing to trade balance for impact and technical challenge during a critical growth phase, the trade-off may be worth it — but go in with your eyes open.

## Glassdoor Ratings Breakdown

ElevenLabs' overall Glassdoor rating of 4.3 out of 5.0 (37 reviews) is respectable — above average for the companies in our [directory](https://jobsbyculture.com/companies). 82% of employees would recommend ElevenLabs to a friend, suggesting that most employees, despite the intensity, believe in what the company is doing. Here's how the sub-categories break down:

Overall Rating 4.3

Culture & Values 4.3

Career Opportunities 4.4

Recommend to Friend 82%

Work-Life Balance 3.7

The pattern tells a clear story: people at ElevenLabs rate the technology, the mission, and the leadership favorably, but the pace and intensity take a measurable toll. The gap between the overall rating (4.3) and the WLB score (3.7) is one of the widest in our directory — a signal that people believe in what they're building even as they acknowledge the cost of building it this fast.

## Pros & Cons: The Unvarnished View

Based on employee reviews and employee accounts, here's the honest breakdown of what you're getting into.

### What employees love

-   Cutting-edge AI voice technology that is defining an entire category
-   Exceptional talent density — sharp colleagues across research, engineering, and product
-   Genuinely remote-first across 30+ countries with real async culture
-   High individual [product impact](https://jobsbyculture.com/values/product-impact) — your work ships to millions of users
-   Technical problems that are genuinely novel and intellectually challenging

### What could be better

-   Work-life balance is poor — 60+ hour weeks are common, not exceptional
-   Leadership maturity concerns as the company scales rapidly
-   Little margin for error — the pace leaves minimal room for learning from mistakes
-   Remote isolation can be challenging, especially for junior employees
-   Processes are still catching up to the company's growth rate

The "leadership maturity" concern deserves attention. ElevenLabs has grown from a tiny startup to roughly 880 people in roughly three years. That kind of scaling inevitably outpaces the development of management practices, career frameworks, and internal processes. Several reviewers note that while the founders are technically brilliant, the organizational infrastructure that supports a company of this size is still being built. This is a common growing pain at fast-scaling startups, but it's worth factoring into your decision — especially if you value structured career progression and clear performance feedback.

## Compensation & Equity

ElevenLabs does not publish salary bands, and public compensation data is limited compared to more established companies. What we can say with confidence: the company is well-funded, competes aggressively for frontier AI talent, and offers equity that has appreciated significantly given the company's rapid valuation growth.

4.3 / 5

Overall Glassdoor Rating

30+

Countries with Employees

112

Open Roles

The remote-first model introduces compensation complexity. ElevenLabs hires across 30+ countries, which means compensation is likely adjusted by location — a standard practice for distributed companies. An engineer in San Francisco would expect different cash comp than an engineer in Warsaw or Lisbon, though equity grants may be more standardized. For candidates in lower-cost-of-living locations, the equity component is particularly interesting: you get the upside of a high-growth AI startup without the Bay Area rent.

The equity story is compelling. ElevenLabs has raised at increasing valuations as the AI voice market has expanded, and early employees are sitting on paper gains that could be substantial. Whether that equity converts to real value depends on the company's trajectory — but the market position is strong, and the product-market fit is genuine. For context on how ElevenLabs' comp compares to other AI companies, see our [comparison tool](https://jobsbyculture.com/compare).

## Who Thrives at ElevenLabs

ElevenLabs is not for everyone, and the data makes that clear. Based on the culture values, Glassdoor patterns, and the company's own hiring signals, here's who tends to do well:

-   **Self-directed remote workers.** If you do your best work independently, manage your own time well, and don't need an office to stay productive, the [remote-first](https://jobsbyculture.com/values/remote) model is a genuine advantage. If you need in-person mentorship or social energy from coworkers, the distributed model will feel lonely.
-   **Engineers who want to push boundaries in AI audio.** The technical problems at ElevenLabs are genuinely frontier-level. Real-time voice synthesis, cross-lingual emotion transfer, low-latency streaming — these are research-grade challenges being shipped to production. If that excites you, very few companies offer equivalent depth.
-   **People who thrive under intensity.** The 3.7 WLB score is real. If you're energized by a fast pace and willing to put in the hours during a critical growth phase, ElevenLabs rewards that with outsized [product impact](https://jobsbyculture.com/values/product-impact) and technical learning. If you need boundaries, this isn't your company.
-   **Global talent who can't or won't relocate.** Unlike most frontier AI labs that cluster in San Francisco, ElevenLabs genuinely hires globally. If you're an exceptional ML engineer in Europe, South America, or Asia and don't want to uproot your life, ElevenLabs is one of the best options in the market.
-   **People who care about [responsible AI](https://jobsbyculture.com/values/ethical-ai).** Voice synthesis raises real ethical questions — deepfakes, consent, misuse. ElevenLabs has invested in safety guardrails and voice verification systems. If you want to work on frontier AI and also care about building it responsibly, the company takes this seriously.

ElevenLabs is _not_ ideal for people who prioritize work-life balance, need structured career progression, or prefer working at companies with mature management practices. The intensity is a feature, not a bug, for the right person — but it's a deal-breaker for many. If WLB is your top priority, consider companies like [Notion](https://jobsbyculture.com/companies/notion), [Linear](https://jobsbyculture.com/companies/linear), or [PostHog](https://jobsbyculture.com/companies/posthog) instead.

## Open Positions at ElevenLabs

ElevenLabs currently has **183 open positions** listed on our platform, spanning research, engineering, product, and go-to-market roles. Given the remote-first model, most roles are open globally or across broad regional zones. If the voice AI space excites you and you can handle the pace, now is a strong time to apply — the company is still early enough that individual hires have outsized impact on the trajectory.

For full details on ElevenLabs' open roles, culture values, and side-by-side comparisons with other companies, visit the [ElevenLabs culture profile page](https://jobsbyculture.com/companies/elevenlabs).

## Frequently Asked Questions About Working at ElevenLabs

What is ElevenLabs' salary range for engineers in 2026?+

ElevenLabs does not publicly disclose salary bands. Based on employee review data and market positioning, total compensation for mid-to-senior engineers is estimated to be competitive with well-funded AI startups, though specific figures vary significantly by location given the company's remote-first, 30+ country footprint. Equity is a meaningful component of total comp, especially given the company's rapid valuation growth. For broader comp context, see our [AI company compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

What is ElevenLabs' culture like in 2026?+

ElevenLabs' culture is defined by [ship-fast](https://jobsbyculture.com/values/ship-fast) intensity, [engineering-driven](https://jobsbyculture.com/values/eng-driven) decision-making, and [remote-first](https://jobsbyculture.com/values/remote) operations across 30+ countries. The company values speed of execution and [product impact](https://jobsbyculture.com/values/product-impact) above most else. The pace is demanding — Glassdoor reviews cite 60+ hour weeks — but the technical problems are genuinely frontier-level in AI voice synthesis, and individual contributor impact is high. See our [full ElevenLabs culture profile](https://jobsbyculture.com/companies/elevenlabs).

What is the work-life balance at ElevenLabs?+

Work-life balance at ElevenLabs is rated 3.7 out of 5.0 on Glassdoor, which is below average for AI companies in our [directory](https://jobsbyculture.com/companies). Multiple reviews describe 60+ hour weeks and an always-on culture. The remote-first setup provides location flexibility but does not translate to reduced working hours. If work-life balance is a top priority, companies like [Notion](https://jobsbyculture.com/companies/notion) (4.2) or [Linear](https://jobsbyculture.com/companies/linear) (4.4) may be better fits.

How many employees does ElevenLabs have in 2026?+

ElevenLabs has approximately 880 employees as of 2026, distributed across 30+ countries. The company has grown rapidly from its 2022 founding by Mati Staniszewski and Piotr Dabkowski. ElevenLabs currently has 183 open roles, indicating continued aggressive hiring across engineering, research, and go-to-market functions. For context, see our [AI company employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

Is ElevenLabs remote-friendly?+

Yes, ElevenLabs is genuinely [remote-first](https://jobsbyculture.com/values/remote). The company operates across 30+ countries with no mandatory office presence. This is one of the few AI companies at scale where remote work is the default, not an exception. The distributed model is core to ElevenLabs' hiring strategy, allowing them to recruit top AI talent globally regardless of location. For more remote-first AI companies, see our [remote-friendly AI companies](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026) guide.

What is ElevenLabs' interview process like?+

ElevenLabs' interview process typically includes an initial recruiter screen, a technical assessment or take-home project, and multiple rounds of interviews with team members and leadership. For engineering roles, expect deep technical questions on ML, audio processing, and systems design. The bar is high — the company emphasizes talent density and looks for candidates who can operate with high autonomy in a remote-first environment. The process is conducted remotely, consistent with the company's distributed culture.

### Explore open roles at ElevenLabs

See ElevenLabs' 183 open roles alongside jobs from companies like Anthropic, Mistral, DeepL, and more — all with culture context.

[View ElevenLabs Jobs →](https://jobsbyculture.com/jobs?company=elevenlabs) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Figma in 2026: 3.7 Glassdoor, $510K Comp, 3.1 WLB — The Honest Breakdown | JobsByCulture

# Working at Figma in 2026: 3.7 Glassdoor, $510K Comp, 3.1 WLB — The Honest Breakdown | JobsByCulture

> Working at Figma in 2026: 3.7 Glassdoor, 3.1 WLB, $510K senior TC. Product universally loved; reviews mention 996 hours, five managers in two years, and a fear-of-finger-pointing culture. The unfiltered breakdown.

Source: https://jobsbyculture.com/blog/working-at-figma-2026
Markdown: https://jobsbyculture.com/blog/working-at-figma-2026.md
Last updated: 2026-07-14

---
Short answer

Figma in 2026 is a high-bar, high-pay, high-pressure company. **3.7 Glassdoor** overall, **3.1 work-life balance**, **64% recommend to friend**. Senior software engineers earn around **$510k TC**, staff engineers **$819k+**. The product is widely loved; the culture is split. Recent reviews and Blind threads consistently mention 996 schedules on hot teams, frequent manager turnover, and a performance bar that has tightened post-IPO. If you'd thrive in a high-output, low-fluff environment with elite comp as the trade, it can be a strong fit. If WLB is a top-three priority, calibrate carefully.

There is a strange dissonance at the heart of Figma. The product is universally beloved. The engineering is genuinely world-class — the kind of C++-compiled-to-WebAssembly work that makes browser-based software feel native. The compensation is elite, with senior engineers taking home $510K total. And yet the Glassdoor rating sits at 3.7 out of 5.0 — lower than [Anthropic](https://jobsbyculture.com/companies/anthropic) (4.4), [OpenAI](https://jobsbyculture.com/companies/openai) (4.5), and [Vercel](https://jobsbyculture.com/companies/vercel) (3.9). Only 64% recommend it to a friend.

Anonymous reviews paint a picture of a pressure cooker: 996 hours on many teams, five managers in two years, a performance culture where 60-hour weeks can still earn "meets expectations." One Blind poster wrote: _"Beneath the friendly surface is a huge culture of fear and finger pointing."_ We dug into 194 Glassdoor reviews, Blind threads, verified compensation reports, and Figma's public statements to surface the gap between brand and reality. Whether you're weighing an offer, prepping for an interview, or comparing cultures in our [Culture Directory](https://jobsbyculture.com/companies), here's the honest read.

## The Numbers at a Glance

Before we unpack the tension, here are the numbers that define Figma today — a company that went public, survived a collapsed acquisition, and emerged as a design-tool empire.

Metric

Detail

Founded

2012

Headquarters

San Francisco, CA

IPO

July 2025 (NYSE: FIG)

Revenue

$1B+ annually

Customers

450,000+

Company Size

~1,886 employees (Dec 2025 10-K)

Glassdoor Rating

3.7 / 5.0 (212 reviews)

Work-Life Balance

3.1 / 5.0

Recommend to Friend

64%

Positive Outlook

68%

CEO Approval

96% (Dylan Field)

Open Roles

152

The numbers tell two stories. One story is triumph: a $1B+ revenue company, 450K customers, a successful IPO after Adobe's $20B acquisition collapsed in December 2023. The $1B breakup fee became rocket fuel — Figma acquired Diagram, Weavy, and Modyfi, expanded from 4 to 8 products, and shipped over 200 features in 2025 alone. The other story is strain. A 3.7 Glassdoor is mediocre for a company of this caliber. For comparison, [Anthropic](https://jobsbyculture.com/companies/anthropic) sits at 4.4, [OpenAI](https://jobsbyculture.com/companies/openai) at 4.5, and [Linear](https://jobsbyculture.com/companies/linear) at 4.6. Something in the gap between the product and the workplace deserves scrutiny.

3.7 / 5.0

Glassdoor Rating — 64% Recommend — 3.1 WLB — 194 Reviews

## The Brand Everyone Loves, the Workplace That Divides

Figma occupies an unusual position in tech. It is a company whose _product_ inspires near-universal devotion — designers evangelize it, developers build on its APIs, and the collaborative multiplayer cursor has become an internet meme. This product love creates a powerful gravitational pull for candidates. People want to work at Figma because they already love Figma.

But product love and employee love are different things. And at Figma, they have diverged.

The divergence accelerated after the Adobe acquisition collapsed. In December 2023, Adobe walked away from its $20B bid, paying Figma a $1B breakup fee. That billion dollars was both a windfall and a mandate: Figma had to prove it could justify its independent valuation. What followed was an aggressive expansion — the product suite doubled from four products (Figma Design, FigJam, Dev Mode, Prototyping) to eight, including Figma Slides, Figma AI, and integrations from acquisitions. The company shipped 200+ features in 2025. It went public in July 2025, hitting $142.92 on day two before the stock fell roughly 80% from its peak.

All of this expansion happened without proportional hiring. And that is where the internal pressure comes from.

Con — Glassdoor "Hyper growth with zero support, doubling product suite without hiring to help scale."

This quote captures the central complaint more precisely than any data point. Figma doubled its ambition without doubling its people. The result is a company where talent density is genuinely extraordinary — everyone is brilliant — but the workload is often unsustainable.

## Engineering Culture & Tech Stack

Whatever the cultural tensions, Figma's engineering is the real deal. This is not a typical React-and-Node web application. Figma's architecture is closer to a game engine that happens to run in a browser, and the technical challenges are among the hardest in the industry.

### The Canvas: C++ Compiled to WebAssembly

Figma's rendering engine is written in **C++** and compiled to **WebAssembly**. This is how a browser-based design tool achieves performance that rivals native applications. The canvas uses **WebGL** for GPU-accelerated rendering and **FreeType/HarfBuzz** for precise font handling. Co-founder Evan Wallace's foundational code is praised internally as "as simple as possible — no unnecessary complexity." For engineers who care about performance, this is a rare opportunity to work on production WebAssembly at massive scale.

### Tech Stack

C++ / WASM WebGL React / Redux TypeScript Ruby (Sinatra) Go LiveGraph FreeType / HarfBuzz

The frontend layer uses **React/Redux** with **TypeScript**. The backend is a polyglot mix: **Ruby (Sinatra)** for the web application layer, **Go** for infrastructure and performance-critical services, and **TypeScript** for developer tooling. But the most technically interesting piece is the real-time collaboration engine.

### Real-Time Collaboration: LiveGraph

Figma's multiplayer system is powered by **LiveGraph**, a custom schema-based real-time database inspired by GraphQL. A common misconception is that Figma uses CRDTs (Conflict-free Replicated Data Types) for multiplayer sync. The reality is more nuanced: Figma uses a **centralized server with CRDT-inspired data structures**. The server is the source of truth, but the data model borrows CRDT concepts for conflict resolution. For Code Layers, Figma developed the **eg-walker algorithm** — a DAG-based approach similar to how git rebase works, enabling collaborative code editing within design files.

For systems engineers, this is legitimately cutting-edge work. Few companies in the world are solving real-time collaboration at this scale with this level of sophistication. If you're the kind of engineer who reads distributed systems papers for fun, Figma's problems are as interesting as they get outside of database companies and AI labs.

Pro — Glassdoor "Incredible teammates with unmatched talent where you will learn a lot."

## Culture DNA

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Product Impact](https://jobsbyculture.com/values/product-impact) [Learning](https://jobsbyculture.com/values/learning) [Deep Work](https://jobsbyculture.com/values/deep-work) [Flat](https://jobsbyculture.com/values/flat)

Figma organizes engineering teams using what it calls the **"sandwich structure"** — vertical product teams build specific features (Figma Slides, FigJam), while shared feature teams and shared systems teams provide horizontal infrastructure. Engineers participate directly in design crits, blurring the line between engineering and design in a way that feels authentic at a design tools company.

## Maker Week & Config: The Cultural Highlights

Two rituals define Figma's cultural identity more than anything else.

**Maker Week** happens twice a year. Engineers, designers, and PMs step away from their regular work to build whatever they want. This is not performative — FigJam and Figma Slides both originated as Maker Week projects that graduated to full products. The creative freedom is genuine, and multiple employees cite Maker Week as the cultural high point of the year. It represents Figma at its best: playful, inventive, driven by craft rather than KPIs.

**Config**, Figma's annual conference, drew 8,500 in-person attendees in its latest edition. It is the company's public-facing cultural expression — part product launch, part community celebration. For employees, Config is a source of genuine pride. Working on features that ship live to thousands of cheering attendees is an experience few companies can offer.

These bright spots are real and shouldn't be dismissed. The problem is that the space between Maker Weeks and Config events is where the 3.1 WLB score lives.

## Glassdoor Ratings Breakdown

The 3.7 overall score is the headline, but the sub-categories reveal where the fractures are. Based on 194 reviews as of March 2026.

Overall Rating

3.7

Culture & Values

4.0

Compensation & Benefits

4.0

Career Opportunities

3.4

Senior Leadership

3.4

Work-Life Balance

3.1

Two patterns jump out. First, Compensation (4.0) and Culture & Values (4.0) are genuinely strong — people feel well-paid and believe in the mission. Second, everything related to _management_ is weak. Senior Leadership at 3.4 and Career Opportunities at 3.4 suggest that the problems aren't about the work itself — they're about how the work is managed. And then there's Work-Life Balance at 3.1, which we'll examine in depth below.

For context: [Anthropic](https://jobsbyculture.com/companies/anthropic) scores 4.4 overall with 3.7 WLB. [OpenAI](https://jobsbyculture.com/companies/openai) scores 4.5 with 3.6 WLB. [Vercel](https://jobsbyculture.com/companies/vercel) scores 3.9 with 3.5 WLB. Figma's 3.7 overall puts it in the bottom third of the ~118 companies in our [directory](https://jobsbyculture.com/companies), and the 3.1 WLB is among the lowest we track.

## What Employees Love

Despite the headwinds, strong themes emerge on the positive side. The people who thrive at Figma really thrive — and their reasons are compelling.

+ **Talent density is off the charts** — colleagues are genuinely brilliant, and you will learn faster here than almost anywhere else. The caliber of engineers, designers, and product thinkers attracts people from FAANG and top startups.

+ **The product is loved by millions** — there is a rare pride in building something users actively evangelize. Figma isn't enterprise software people tolerate; it's a tool people choose.

+ **Compensation rivals the very best in tech** — $510K at L3 (Senior), $819K at L4 (Staff). The 4.0 comp score on Glassdoor is earned. Figma pays at or above FAANG levels.

+ **Technically extraordinary problems** — WebAssembly rendering, real-time collaboration at scale, custom CRDT-inspired data structures. Few companies outside AI labs offer engineering challenges this deep.

+ **Maker Week delivers real creative freedom** — twice-yearly hack weeks where FigJam and Figma Slides both originated. This isn't a gimmick; projects actually ship.

+ **Name recognition and generous remote policies** — Figma on your resume opens doors everywhere, and the company offers meaningful flexibility on where you work.

Pro — Glassdoor "Name recognition, decent benefits and pay, generous remote policies, genuinely smart and engaged coworkers."

The talent argument is the one that comes up most consistently. When you put a team of exceptional people on problems that are genuinely hard, the day-to-day intellectual stimulation is real. Multiple reviewers describe the learning velocity at Figma as the fastest of their careers. If you're motivated by craft and by working alongside people who push you, this is a legitimate draw.

## What Employees Warn About

The warnings from current and former employees are equally consistent — and they paint a picture that should give any candidate pause.

− **996 hours are real on many teams** — 9am to 9pm, six days a week. Work-life balance at 3.1/5 is the defining trade-off, and it's not limited to crunch periods.

− **Manager churn is endemic** — "Had 5 different managers in 2 years." Strategic whiplash from constant leadership changes makes it hard to build momentum or get meaningful career support.

− **Heroics go unrecognized** — "Could put your 120% in and work 60 hours and get a meets expectations." The performance bar is so high that extraordinary effort is treated as baseline.

− **Hypergrowth without proportional hiring** — the product suite doubled from 4 to 8 products without doubling headcount. Teams are stretched dangerously thin.

− **A culture of silence around burnout** — "PIPing and firing under the carpet. They don't talk about it to maintain a culture of positivity." Discussing struggle is implicitly discouraged.

− **Fear beneath the friendliness** — anonymous reports describe "a huge culture of fear and finger pointing" that contradicts the public-facing brand of playfulness and collaboration.

Con — Glassdoor "Could put your 120% in and work 60 hours and get a meets expectations."

Con — Glassdoor "Had 5 different managers in 2 years."

Con — Blind "PIPing and firing under the carpet. They don't talk about it to maintain a culture of positivity."

The manager churn issue deserves special attention. Five managers in two years means an average tenure of less than five months per manager. For employees trying to build their careers, establish trust, and receive consistent feedback, this level of leadership instability is corrosive. It suggests either rapid organizational restructuring, management burnout, or both. Either way, the 3.4 Career Opportunities score makes sense — it's hard to grow when no one is around long enough to sponsor your growth.

## The Work-Life Balance Question

At 3.1 out of 5.0, Figma's work-life balance score is one of the lowest in our [directory](https://jobsbyculture.com/companies). Only [Scale AI](https://jobsbyculture.com/companies/scale) (2.7) and a handful of others score lower. This isn't an aberration — it's a structural feature of how Figma operates, driven by at least seven reinforcing factors.

1.  **The 996 pattern.** Multiple employees report 9am-to-9pm, six-day workweeks on their teams. This isn't universal, but it's common enough to show up repeatedly in anonymous reviews.
2.  **Post-Adobe pressure.** After the $20B acquisition collapsed, Figma needed to prove it deserved an independent public-market valuation. The shipping pace accelerated, and it hasn't slowed down.
3.  **4 to 8 products without proportional hiring.** The product surface area doubled. The headcount didn't. Simple math: each person is doing roughly twice the work.
4.  **Manager churn.** Without stable leadership, teams lose institutional knowledge and context. New managers bring new priorities, creating thrash that extends working hours.
5.  **Heroics as baseline.** When 60-hour weeks earn "meets expectations," the implicit message is that sustainable effort isn't enough. Employees either escalate or accept mediocre ratings.
6.  **A culture of silence.** Burnout exists but discussing it is taboo. "They don't talk about it to maintain a culture of positivity" — which means the problem compounds instead of being addressed.
7.  **Post-IPO bureaucracy meeting startup pace.** The company added public-company reporting requirements and governance without reducing the shipping expectations. More process, same intensity.

The difference between Figma and a company like [Supabase](https://jobsbyculture.com/companies/supabase) (4.8 Glassdoor, 3.0 WLB) is instructive. At Supabase, employees accept the intensity because they chose it — 100% recommend the company. At Figma, only 64% recommend it. The intensity at Figma feels less chosen and more imposed, which changes the experience fundamentally.

## Dylan Field: The CEO Factor

Dylan Field co-founded Figma at 20 years old and has led it for over a decade. His 96% CEO approval rating on Comparably suggests employees broadly support his vision, even when they struggle with the pace. Field is known for personally joining debugging calls and customer support threads — a hands-on style that earns respect from engineering teams.

Field has been publicly candid about his own growth: _"I think I was bad at all of it,"_ he said of his early management struggles. This self-awareness plays well with some employees. Others note that the reviews from engineering departments tend to be more positive than those from sales and go-to-market teams, suggesting the culture may vary significantly by organization.

## Compensation & Salary

If Figma's WLB is the warning sign, compensation is the counterweight. Figma pays among the very best in the industry — not just "competitive," but genuinely elite.

$510K

Senior Engineer (L3) Total Compensation — Median: $437K

Here's the full breakdown from verified compensation reports:

Level

Total Compensation

L1 (Entry)

~$221K

L2

~$306K

L3 (Senior)

~$510K

L4 (Staff)

~$819K

Company Median

~$437K

At the senior level, $510K total comp puts Figma in the same bracket as [Anthropic](https://jobsbyculture.com/companies/anthropic), [OpenAI](https://jobsbyculture.com/companies/openai), and top-of-band FAANG packages. The L4 (Staff) figure of $819K is genuinely remarkable. For engineers who are willing to accept the intensity, the financial compensation is hard to argue with.

The 4.0 Compensation score on Glassdoor confirms that employees feel well-paid. This isn't a company where burnout is compounded by feeling underpaid. The golden handcuffs are real and they're polished.

_Source: verified compensation reports, 2025 data._

## The Interview Process

Figma's interview process averages **25 days** and typically involves **3 to 5 rounds**. Here is what to expect and how to prepare.

-   **Recruiter screen** — Standard fit and leveling conversation.
-   **Technical phone screen** — Coding fundamentals, often related to Figma's domain (rendering, data structures, concurrency).
-   **Deep-dive with future manager** — This round is **heavily weighted** in the final decision. It combines technical depth with team-fit assessment. Come prepared to discuss your past projects in granular detail.
-   **System design** — Questions are often inspired by real Figma problems: how would you design a real-time collaboration system? A rendering pipeline for vector graphics? An incremental sync protocol?
-   **Culture / values interview** — Figma cares about craft and product taste. Be ready to articulate design decisions, not just technical ones.

The strongest preparation tip, repeated by multiple candidates: **use Figma significantly before the interview.** Build something real. Explore edge cases. Interviewers can tell immediately whether a candidate has spent five minutes or five hours with the product, and it matters more than at most companies.

## How Figma Compares

Context matters. Here's how Figma stacks up against other high-caliber companies in our [Culture Directory](https://jobsbyculture.com/companies).

Company

Glassdoor

WLB

Median TC

Employees

[Figma](https://jobsbyculture.com/companies/figma)

3.7

3.1

$437K

~1,886

[Anthropic](https://jobsbyculture.com/companies/anthropic)

4.4

3.7

$450K

~1,500

[OpenAI](https://jobsbyculture.com/companies/openai)

4.5

3.6

$450K+

~3,500

[Vercel](https://jobsbyculture.com/companies/vercel)

3.9

3.5

$350K

~600

[Linear](https://jobsbyculture.com/companies/linear)

4.6

4.4

—

~100

[Supabase](https://jobsbyculture.com/companies/supabase)

4.8

3.0

—

~250

The comparison is revealing. Figma pays at the same tier as Anthropic and OpenAI but has significantly lower employee satisfaction. [Linear](https://jobsbyculture.com/companies/linear) achieves both high Glassdoor (4.6) and high WLB (4.4) — proof that ambition and balance aren't mutually exclusive. [Supabase](https://jobsbyculture.com/companies/supabase) has the same WLB problem as Figma but 100% of employees recommend it anyway; at Figma, only 64% do. The intensity at Figma doesn't produce the same employee devotion.

If you want Figma-level technical depth with better balance, [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) (4.1 Glassdoor, 4.3 WLB) and [PostHog](https://jobsbyculture.com/companies/posthog) (4.3 Glassdoor, 4.5 WLB) are worth exploring. Use our [comparison tool](https://jobsbyculture.com/compare?a=figma) to run your own side-by-side analysis.

## Open Roles at Figma

Figma currently has **169 open positions** across the company. Given the expansion to 8 products and post-IPO growth, hiring is active across nearly every function. Browse all live openings on our [Figma jobs page](https://jobsbyculture.com/jobs?company=figma) or explore the [Figma culture profile](https://jobsbyculture.com/companies/figma).

### Hiring by Department

-   **Sales** — 169 open roles (the largest area of investment, reflecting enterprise push)
-   **Engineering** — 169 open roles (WebAssembly, real-time systems, infrastructure)
-   **Marketing** — 169 open roles
-   **Weavy / Figma Weave** — 169 open roles (integration from 2024 acquisition)
-   **Business Operations** — 169 open roles
-   **Talent** — 169 open roles
-   **Design** — 169 open roles
-   **Product Support** — 169 open roles

The heavy sales hiring tells its own story — Figma is in enterprise sales mode, pushing upmarket to justify its public valuation. Engineering hiring (28 roles) is modest relative to the product surface area, which may explain why existing teams feel stretched.

## The Bottom Line

### The Verdict

Figma is a tale of two companies. One company builds a product that millions love, solves engineering problems that rival anything in the industry, and pays at the very top of the market. The other company burns through managers, stretches teams past their limits, and discourages conversations about the cost. If you're an engineer who prioritizes technical depth and craft above all else — and you can genuinely sustain the pace — Figma will reward you with world-class colleagues, $510K+ in compensation, and resume-defining work. If you value sustainable balance, stable leadership, or a culture where struggle is acknowledged rather than suppressed, look at [Linear](https://jobsbyculture.com/companies/linear), [PostHog](https://jobsbyculture.com/companies/posthog), or [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs). The product is still magic. The question is whether the workplace is.

The gap between Figma's brand and its Glassdoor score is not a temporary blip. It reflects a structural tension between ambition and sustainability that the company has not yet resolved. The 3.7 is real. The 3.1 WLB is real. The $510K is also real. What you choose to optimize for will determine whether Figma is the opportunity of a career or a cautionary tale.

## Frequently Asked Questions

What is Figma's Glassdoor rating in 2026?+

Figma has a 3.7/5 overall Glassdoor rating based on 194 reviews as of March 2026. Culture & Values scores 4.0/5 and Compensation scores 4.0/5, but Work-Life Balance is the weak point at 3.1/5. 64% of employees recommend it to a friend and 68% have a positive business outlook.

What is the total compensation for Software Engineers at Figma?+

Figma compensation is among the highest in tech. Entry-level (L1) engineers earn approximately $221K total comp. L2 engineers earn ~$306K. Senior Engineers (L3) earn ~$510K. Staff Engineers (L4) earn ~$819K. The company-wide median is approximately $437K. All figures include base salary, RSUs, and bonus according to verified compensation reports.

Is Figma's work-life balance really that bad?+

The 3.1/5 WLB score is among the lowest in our directory. Employees report "996 hours" (9am-9pm, 6 days) on many teams, 60+ hour weeks during crunch periods, and a culture where burnout is not openly discussed. The product suite doubled from 4 to 8 products without proportional hiring, contributing to the strain. For comparison, Anthropic scores 3.7 WLB and OpenAI scores 3.6.

What tech stack does Figma use?+

Figma's architecture is closer to a game engine than a typical web app. The canvas is C++ compiled to WebAssembly with WebGL rendering. The frontend uses React/Redux with TypeScript. The backend is Ruby (Sinatra), Go, and TypeScript. Real-time collaboration runs on LiveGraph, a custom system with CRDT-inspired data structures. Code Layers uses the eg-walker algorithm, a DAG-based approach similar to git rebase.

How hard is it to get hired at Figma?+

Figma's interview process averages 25 days with 3-5 rounds. The deep-dive round with your future manager is heavily weighted. System design questions relate to real Figma problems like real-time collaboration and rendering pipelines. The most common preparation tip: use Figma extensively before your interview.

How does Figma compare to Anthropic or OpenAI as an employer?+

Figma (3.7 Glassdoor, 3.1 WLB) pays competitively with Anthropic (4.4 Glassdoor, 3.7 WLB) and OpenAI (4.5 Glassdoor, 3.6 WLB) at senior levels. However, Figma has significantly lower employee satisfaction. Figma offers unique technical challenges in WebAssembly and real-time rendering, while AI labs offer frontier research. Both demand intense hours, but AI lab employees report higher overall satisfaction.

### Explore all 152 Figma jobs

World-class engineering problems. Elite compensation. 169 open roles across 8 products.

[See Figma Jobs →](https://jobsbyculture.com/jobs?company=figma) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Figure AI in 2026: 619 Employees, $39B Valuation, Salary & Culture

# Figure AI in 2026: 619 Employees, $39B Valuation, Salary & Culture

> Working at Figure AI in 2026: 619 employees, $39B valuation, 3.5 Glassdoor rating, humanoid robotics culture, and what building the world

Source: https://jobsbyculture.com/blog/working-at-figureai-2026
Markdown: https://jobsbyculture.com/blog/working-at-figureai-2026.md
Last updated: 2026-07-14

---
[Figure AI](https://jobsbyculture.com/companies/figureai) is not a typical AI company. While most of the companies in our [Culture Directory](https://jobsbyculture.com/companies) are building software — models, APIs, developer tools — Figure is building physical machines that walk, grasp, and work alongside humans in real factories. Founded in 2022 by serial entrepreneur Brett Adcock (who previously built Archer Aviation and Vettery), Figure has gone from a three-person team to 619 employees and a $39 billion valuation in under four years.

That velocity is staggering. But velocity in hardware — especially humanoid robotics — carries a different kind of intensity than scaling a SaaS product. The hours are longer, the failure modes are physical, and the margin for error is measured in centimeters and milliseconds. This article digs into what it’s actually like to work inside that pressure cooker, drawing from employee reviews, verified compensation data, and Figure AI’s own public disclosures.

## Figure AI at a Glance

Founded

2022

Headquarters

Sunnyvale, CA

Founder & CEO

Brett Adcock

Company Size

~619 employees

Total Funding

$1.9B+

Valuation

~$39B (Series C, Sep 2025)

Glassdoor Rating

3.5 / 5.0 (limited reviews)

Work-Life Balance

3.0 / 5.0

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Product Impact](https://jobsbyculture.com/values/product-impact), [Strong Equity](https://jobsbyculture.com/values/equity)

Two numbers jump out of that table. The $39 billion valuation makes Figure AI worth more than many publicly traded tech companies — while still being a three-year-old startup with under 700 employees. And the 3.0 work-life balance score, while based on limited data, signals something important: this is a company optimized for speed, not comfort.

## The Mission: Why Figure AI Exists

Brett Adcock’s thesis is straightforward: the global economy faces a structural labor shortage that technology hasn’t solved. Warehouses, factories, and logistics networks need millions of workers they can’t hire. Software automation handles information work, but physical tasks — picking, placing, assembling, transporting — still require human hands. Adcock’s bet is that general-purpose humanoid robots will fill that gap, and that Figure AI will be the company that makes humanoid robots commercially viable before anyone else.

That bet attracted backing from some of the most consequential names in tech: NVIDIA, Microsoft, OpenAI, Jeff Bezos, Intel, Samsung, and Parkway Venture Capital all participated in Figure’s funding rounds. The Series C alone exceeded $1 billion in committed capital — the largest single round ever raised by a pure-play humanoid robotics company.

The mission is ambitious enough to attract the kind of talent that doesn’t get excited by incremental improvements. If you work at Figure, you’re trying to build something that has never existed at commercial scale. That matters for culture: mission-driven companies at this intensity level tend to attract high performers who are willing to sacrifice work-life balance for the chance to work on something genuinely historic.

## What Figure Has Actually Built

Unlike many AI startups that remain in research mode for years, Figure has moved from concept to commercial deployment with remarkable speed.

-   **Figure 01** — The proof-of-concept. Demonstrated basic humanoid locomotion and manipulation. Served as the research platform that validated the core approach.
-   **Figure 02** — The breakthrough. Deployed at BMW’s Spartanburg, South Carolina plant for an 11-month pilot (now retired), Figure 02 helped build over 30,000 BMW X3 vehicles. The robot worked 10-hour shifts, Monday through Friday, loading more than 90,000 sheet metal parts with above-99% accuracy across 1,250+ runtime hours. This wasn’t a demo — it was a real automotive production-line pilot, and Figure has framed the lessons as preparation for scaled Figure 03 deployment.
-   **Figure 03** — The production model. Unveiled in October 2025, Figure 03 was redesigned from the ground up for mass manufacturing and home environments. At 5’8” and 61 kg with a 20 kg payload capacity, it’s smaller and lighter than its predecessor. The design includes mesh fabric covering with foam padding (reducing injury risk for human coworkers) and wireless charging integrated into the feet — the robot refuels by standing on a charging pad.
-   **Helix** — Figure’s proprietary vision-language-action model for humanoid control. This is the AI brain that enables Figure robots to understand natural language commands, perceive their environment through six cameras, and execute complex multi-step physical tasks.
-   **BotQ** — Figure’s dedicated manufacturing facility for humanoid robots. Building your own factory to build robots is a massive capital commitment that signals Figure is serious about scale, not just research papers.

BMW has already expanded the partnership. After the Spartanburg success, BMW Group Plant Leipzig in Germany is running a pilot with Figure 03, evaluating where the next-generation robot can create additional value in European production lines. This is the kind of real-world traction that separates Figure from the dozens of humanoid robotics companies that exist primarily in presentation decks.

## Glassdoor Ratings Breakdown

Figure AI’s Glassdoor profile has a limited number of reviews, which means these ratings should be interpreted with caution. But even with small sample sizes, patterns emerge.

Culture & Values 4.0

Compensation & Benefits 4.0

Diversity & Inclusion 4.0

Senior Management 4.0

Career Opportunities 3.7

Overall Rating 3.5

Work-Life Balance 3.0

The pattern is striking. Culture & Values, Compensation, Diversity, and Senior Management all cluster at 4.0 — strong scores that suggest employees generally respect the mission, the leadership, and the pay. But the overall 3.5 and the 3.0 WLB drag the picture down. This is the classic profile of a high-intensity startup: people believe in what they’re building and feel compensated fairly, but the hours take a toll.

For comparison, among [AI companies ranked by work-life balance](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026), a 3.0 WLB would place Figure near the bottom. Companies like [Notion](https://jobsbyculture.com/companies/notion) (4.2 WLB), [Linear](https://jobsbyculture.com/companies/linear) (4.4 WLB), and [HubSpot](https://jobsbyculture.com/companies/hubspot) (4.1 WLB) offer dramatically better balance. But those companies are building software. Building physical robots that need to survive factory floors is a fundamentally different proposition.

**Important caveat:** These ratings are based on a small number of reviews. We’ll update this analysis as more data becomes available. For the latest verified data, see Figure AI’s [full culture profile](https://jobsbyculture.com/companies/figureai).

## What Employees Actually Say

### What employees love

Employee Pro “Excellent culture, supportive management that addresses roadblocks when presented with data. No micro-management.”

Employee Pro “Exciting mission — humanoids will be prevalent in the next 5–10 years. You’re building something that genuinely matters.”

Employee Pro “Fast-paced startup energy with real commercial traction — not just research papers, actual robots in factories.”

Employee Pro “Competitive compensation and meaningful equity in a company valued at $39B.”

The positive reviews share a common thread: conviction. People at Figure AI believe they’re working on something that will reshape the physical world. The management praise is notable for a startup this young — employees specifically call out data-driven decision-making and lack of micromanagement, which suggests that Brett Adcock’s prior startup experience has translated into a more mature operational culture than most three-year-old companies.

### What could be better

Employee Con “Long work hours — the startup pace is demanding and there’s a lot of work to do.”

Employee Con “Limited communication on some teams — can feel like you’re not always in the loop.”

Employee Con “Experience quality varies by team — polarized reviews suggest some managers are better than others.”

The negatives center on two things: hours and consistency. The hours are unavoidable at a company trying to out-execute Boston Dynamics, Tesla Optimus, and a dozen other well-funded competitors. The team-dependent experience is more concerning — it’s a growth problem. When a company scales from 100 to 600 people in two years, not every manager hired will be equally effective. This is worth asking about during the interview process: which team would you join, and who manages it?

## Compensation & Equity

Figure AI pays aggressively. In the race for robotics and AI talent, the company competes directly with [OpenAI](https://jobsbyculture.com/companies/openai), [Anthropic](https://jobsbyculture.com/companies/anthropic), Tesla, and Google DeepMind for many of the same engineers. The compensation reflects that competition.

$375K

Median Total Comp (SWE)

$1M+

Staff Engineer TC

$39B

Current Valuation

Verified compensation data shows median software engineer total compensation around $375K, with Staff-level engineers earning $1M+ in total comp including equity. These numbers put Figure in the top tier of AI company compensation — comparable to frontier AI labs and well above the median for our [118 profiled companies](https://jobsbyculture.com/companies).

The equity story is particularly interesting. At a $39B valuation, Figure AI’s equity is already priced at a premium — but the company’s ambitions extend far beyond the current valuation. If humanoid robots achieve even a fraction of their projected market potential (some analysts estimate a $150B+ market by 2035), early equity holders could see significant upside. The risk, of course, is that hardware companies can burn capital faster than software companies, and the path from $39B private valuation to a successful public offering is not guaranteed.

For a detailed comparison of how Figure AI’s comp stacks up, see our [highest-paying AI companies ranking](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) and the [AI engineer salary guide by level](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026).

## Engineering Culture & Tech Stack

Figure AI’s engineering challenge is uniquely multidisciplinary. Unlike pure software companies, Figure needs engineers who can work across the full stack of physical AI — from low-level motor control firmware to high-level vision-language models.

### Core Tech Areas

PyTorch C++ Python ROS CUDA Simulation Computer Vision Reinforcement Learning

The engineering organization spans several distinct disciplines:

-   **Embodied AI.** Figure’s Helix model is a vision-language-action system that enables robots to understand natural language, perceive their environment, and plan multi-step physical tasks. This is the frontier of AI research — combining LLM-style language understanding with real-world perception and motor control.
-   **Hardware engineering.** Mechanical design, actuator development, sensor integration, thermal management. Building a humanoid that’s safe to work alongside humans while carrying 20 kg payloads requires solving dozens of simultaneous engineering constraints.
-   **Manufacturing engineering.** BotQ, Figure’s robot factory, is itself an engineering achievement. Designing production processes for humanoid robots at scale is a problem nobody has solved before.
-   **Simulation & testing.** Training robots in simulation before deploying them in the physical world. This includes physics simulation, digital twins of factory environments, and sim-to-real transfer techniques.
-   **Infrastructure & data.** Managing the massive datasets generated by robots operating in real environments — video, sensor telemetry, interaction logs — and building the data pipelines that feed back into model training.

For engineers coming from pure software backgrounds, Figure AI represents a different kind of challenge. The feedback loops are longer (you can’t A/B test a robot the way you A/B test a web page), the failure modes are more dramatic (a bug in a robot can cause physical damage), and the interdependencies between teams are deeper. A change in the AI model might require a change in the sensor configuration, which might require a change in the mechanical housing. This creates a collaborative culture by necessity.

## Who Thrives at Figure AI

Based on the culture signals, employee reviews, and the nature of the work, here’s who tends to do well at Figure:

-   **Mission-driven engineers.** If building the world’s first commercially viable humanoid robot doesn’t excite you at a deep level, the hours won’t be worth it. The people who thrive here are genuinely obsessed with the problem, not just collecting a paycheck (even though the paychecks are generous).
-   **Hardware-software hybrids.** The most impactful engineers at Figure are those who can think across the stack — understanding both the AI models and the physical constraints of the robots they control. Pure software engineers can contribute, but the highest-leverage roles require some comfort with the physical world.
-   **People comfortable with ambiguity.** Figure is still defining many of its processes, organizational structures, and technical approaches. If you need a well-documented playbook for everything, a larger company like [Databricks](https://jobsbyculture.com/companies/databricks) or [Cloudflare](https://jobsbyculture.com/companies/cloudflare) might be a better fit. Figure rewards people who can navigate uncertainty and make decisions with incomplete information.
-   **Marathon runners, not sprinters.** The startup intensity at Figure isn’t a temporary push toward a launch — it’s the sustained pace of a company trying to build something that has never existed. You need to be able to sustain high output over years, not just weeks.

Figure AI is _not_ ideal for people who prioritize [work-life balance](https://jobsbyculture.com/values/wlb) above all else. The 3.0 WLB score and consistent “long hours” feedback make that clear. It’s also not ideal for people who want a fully remote role — hardware development requires physical presence, and most Figure roles are on-site in Sunnyvale. If remote work is a priority, explore [remote-friendly companies](https://jobsbyculture.com/values/remote) in our directory instead.

## Figure AI vs. the Competition

Figure AI doesn’t operate in a vacuum. The humanoid robotics space has become intensely competitive, with well-funded players attacking the problem from different angles:

-   **Tesla Optimus** — Elon Musk’s humanoid robot project has Tesla’s manufacturing expertise and financial resources behind it. But Optimus is one division of a massive company, not the entire company’s focus. Figure is a pure-play bet on humanoid robotics.
-   **Boston Dynamics** — The godfather of advanced robotics. Atlas is the most agile humanoid ever built, but Boston Dynamics has historically struggled with commercialization. Figure has the advantage of being built for commercial deployment from day one.
-   **1X Technologies** — Norwegian humanoid robotics company backed by OpenAI. Strong on the AI side but less advanced in commercial deployment than Figure.
-   **Agility Robotics (Digit)** — Already deployed in Amazon warehouses. A serious competitor, though Digit uses a different form factor (it doesn’t look like a human).

What sets Figure apart is execution speed combined with commercial traction. Building 30,000+ cars at BMW while simultaneously developing a next-generation robot is something none of the competitors have matched. The question is whether that speed can be sustained as the company scales.

## Open Positions at Figure AI

Figure AI is actively hiring across AI, robotics, manufacturing, and operations roles. Given the hardware-intensive nature of the work, most positions are based at the Sunnyvale headquarters or the BotQ manufacturing facility. The company hires across experience levels but particularly values candidates with backgrounds in robotics, computer vision, reinforcement learning, mechanical engineering, and manufacturing systems.

Browse Figure AI’s open roles and full culture breakdown on our [Figure AI culture profile page](https://jobsbyculture.com/companies/figureai), or explore similar [engineering-driven companies](https://jobsbyculture.com/values/eng-driven) in our directory.

## Frequently Asked Questions About Working at Figure AI

How many employees does Figure AI have in 2026?+

Figure AI has approximately 619 employees as of April 2026. The company has grown rapidly from under 100 employees in early 2024 to over 600 today, fueled by $1.9B+ in total funding at a $39B valuation. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Figure AI's Glassdoor rating?+

Figure AI has a 3.5 out of 5.0 overall Glassdoor rating. Sub-scores include Culture & Values at 4.0, Compensation & Benefits at 4.0, Career Opportunities at 3.7, and Work-Life Balance at 3.0. Important caveat: these ratings are based on a limited number of reviews, so confidence is lower than for larger companies with hundreds of reviews. See our [full Figure AI culture profile](https://jobsbyculture.com/companies/figureai) for the complete breakdown.

What is Figure AI's valuation in 2026?+

Figure AI reached a $39B post-money valuation in September 2025 after its Series C round exceeded $1B in committed capital. Total funding is over $1.9B. Investors include NVIDIA, Microsoft, OpenAI, Jeff Bezos, Intel, and Samsung. This makes Figure the most well-capitalized pure-play humanoid robotics company in the world.

What does Figure AI pay engineers?+

Software engineer total compensation at Figure AI ranges from approximately $250K to $375K+ at mid-levels, with Staff Engineers reportedly earning $1M+ in total comp including equity. These packages reflect the intense competition for robotics and AI talent. See our [AI engineer salary guide](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026) for market-wide benchmarks.

What robots does Figure AI make?+

Figure AI has developed three generations of humanoid robots. Figure 01 was the proof-of-concept. Figure 02, deployed at BMW's Spartanburg plant, built 30,000+ cars with 99% accuracy across 10-hour shifts. Figure 03, unveiled October 2025, is the production-grade model designed for mass manufacturing and home environments — 5'8", 61 kg, with wireless charging in the feet and mesh fabric padding for safe human coworking.

Is Figure AI a good place to work?+

Figure AI is ideal for mission-driven engineers who want to work on genuinely frontier technology. The compensation is strong ($375K+ median TC) and the work is cutting-edge. However, work-life balance is a consistent concern (3.0/5), hours are long, and the experience quality varies by team. It's best suited for people who prioritize impact and technical challenge over comfort. Visit our [Figure AI profile](https://jobsbyculture.com/companies/figureai) for the full picture.

Where is Figure AI located?+

Figure AI is headquartered in Sunnyvale, California (San Jose metro area). The company also operates BotQ, its dedicated humanoid robot manufacturing facility. Most roles are on-site given the hardware-intensive nature of the work. If remote work is a priority, explore [remote-friendly companies](https://jobsbyculture.com/values/remote) in our directory.

### Explore Figure AI’s culture & open roles

See Figure AI’s full culture profile, employee ratings, and open positions alongside 118 AI & tech companies in our directory.

[View Figure AI Profile →](https://jobsbyculture.com/companies/figureai) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Fireworks AI in 2026: The Ex-Meta Team Powering LLM Inference

# Working at Fireworks AI in 2026: The Ex-Meta Team Powering LLM Inference

> Inside Fireworks AI in 2026: $4B valuation, 189 employees, ex-Meta PyTorch founders, $315M ARR, and what it

Source: https://jobsbyculture.com/blog/working-at-fireworksai-2026
Markdown: https://jobsbyculture.com/blog/working-at-fireworksai-2026.md
Last updated: 2026-07-14

---
Most people who use [Cursor](https://jobsbyculture.com/companies/cursor) or [Perplexity](https://jobsbyculture.com/companies/perplexity) don't think about what makes the autocomplete feel instant, or why search answers appear before they finish reading the question. Behind both products — and behind Notion's AI features, Uber's internal ML, and DoorDash's recommendation engine — sits [Fireworks AI](https://jobsbyculture.com/companies/fireworksai), a company that has become the invisible infrastructure layer powering much of the AI industry's real-time intelligence.

Founded in 2022 by Lin Qiao, former Head of PyTorch at Meta, Fireworks AI has grown from a six-person team of ex-Meta AI infrastructure engineers into a $4 billion company with 189 employees, $315M in annualized revenue, and over 10,000 enterprise customers. Their core bet: that the real bottleneck in AI isn't training models — it's serving them fast enough for production workloads that demand sub-second latency at massive scale.

That bet is paying off. But what does it actually feel like to work there? Here's what we found.

## Fireworks AI at a Glance

Founded

2022

Headquarters

Redwood City, CA

CEO

Lin Qiao (ex-Head of PyTorch, Meta)

Company Size

~189 employees

Valuation

$4B (Series C, Oct 2025)

Total Funding

$327M+

ARR

~$315M (Feb 2026); reached ~$800M by May 2026

Glassdoor Rating

3.6 / 5.0 (limited reviews ~8)

Work-Life Balance

2.9 / 5.0

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Many Hats](https://jobsbyculture.com/values/many-hats), [Learning](https://jobsbyculture.com/values/learning)

$4B

Valuation

416%

YoY Revenue Growth

10K+

Enterprise Customers

The numbers tell a story of explosive growth. Fireworks AI hit $315M in annualized revenue in February 2026, up 416% year-over-year. At just 189 employees, that translates to roughly $1.67M in revenue per employee — a figure that rivals the best enterprise software companies in the world. This isn't a company burning through capital chasing growth. It's a company where the product sells because the latency numbers are simply better than anything else available.

## The Founding Team: Why It Matters

Understanding Fireworks AI's culture requires understanding where its founders came from. This isn't a team of product managers who decided to build an AI wrapper. These are the people who built PyTorch itself.

-   **Lin Qiao (CEO)** — Former Senior Director of Engineering at Meta, where she led 300+ engineers and oversaw PyTorch, Caffe2, and Meta's core AI training infrastructure. Ph.D. in Computer Science from UC Santa Barbara.
-   **Dmytro Dzhulgakov** — Former core maintainer of PyTorch at Meta. Knows the framework's internals better than almost anyone alive.
-   **James Reed** — Former PyTorch compiler lead at Meta. Built the optimization layers that make model execution fast.
-   **Benny Chen** — Former Meta ads infrastructure lead. Brings experience in systems that serve billions of requests per day.
-   **Chenyu Zhao** — Former Google Vertex AI lead. Understands enterprise ML serving from the cloud provider side.

This pedigree matters for two reasons. First, it means the founding team has already solved inference problems at the largest possible scale — PyTorch powers the majority of the world's AI research. Second, it shapes the culture. When the CEO wrote the framework your models run on, engineering credibility is built into the DNA of the company. Decisions are made by the people closest to the metal, not by MBA-holders with pitch decks.

## What the Culture Actually Feels Like

Fireworks AI's culture is defined by a small set of characteristics that emerge directly from its founding team and stage: extreme [technical depth](https://jobsbyculture.com/values/eng-driven), high autonomy, rapid iteration, and the kind of intensity that comes with being a 189-person company doing $315M in revenue with customers who can't afford downtime.

### Engineering-driven to the core

At most companies, "engineering-driven" is an aspirational label. At Fireworks AI, it's structural. The company was founded by infrastructure engineers, and the product is literally a performance-optimization platform. The technical problems — custom CUDA kernels, speculative decoding, GPU memory management, multi-model routing — are the kind that attract engineers who want to work close to hardware. You're not building CRUD apps. You're squeezing microseconds out of GPU inference pipelines while maintaining correctness at scale.

Employee Pro "World-class team of ex-Meta AI infrastructure engineers — the caliber of technical peers here is unmatched"

The team's technical credibility means engineering decisions carry weight. There's no "product said we need this, so build it regardless of whether it makes sense" dynamic. When customers like [Cursor](https://jobsbyculture.com/companies/cursor) need speculative decoding that outperforms GPT-4 in both speed and accuracy, the engineers who build it are also the ones who decide how to architect it. That level of ownership is rare, especially at a company growing this fast.

### Many hats, by necessity and design

At 189 employees serving 10,000+ enterprise customers, there's no room for narrow specialization. A systems engineer might find themselves debugging a CUDA kernel in the morning, writing customer-facing documentation in the afternoon, and jumping on a call with an enterprise customer's ML team before end of day. Fireworks AI explicitly embraces this [many-hats](https://jobsbyculture.com/values/many-hats) culture — it's not understaffing disguised as culture, it's the genuine cross-functional work that comes with building a technically complex product at a small company with massive traction.

Employee Pro "Impact-driven culture with lack of bureaucracy — visibility into different functions and ability to shape the company"

For engineers who thrive on breadth and hate being boxed into a narrow lane, this is compelling. For those who want deep specialization and clear role boundaries, it will feel chaotic.

### The intensity trade-off

The 2.9/5 work-life balance score doesn't lie. Fireworks AI is a startup serving production AI workloads for some of the most demanding companies in tech. When Cursor's Fast Apply feature depends on your inference platform, downtime isn't theoretical — it means millions of developers can't code. When Uber's ML pipeline depends on your latency guarantees, "we'll fix it Monday" isn't an option.

Employee Con "Early-stage startup intensity with long hours expected and a high performance bar"

Employee Con "Small team and rapidly evolving product means less structure, process, and career laddering"

The candid feedback from employees is consistent: the work is intellectually thrilling but physically demanding. The lack of formal career laddering is a real gap for engineers who need clear promotion criteria. And the pace — while exciting for some — can grind down people who need predictable schedules. If you're optimizing for [work-life balance](https://jobsbyculture.com/values/wlb), look at companies like [Notion](https://jobsbyculture.com/companies/notion) (4.2 WLB), [Linear](https://jobsbyculture.com/companies/linear) (4.4 WLB), or [HubSpot](https://jobsbyculture.com/companies/hubspot) (4.1 WLB) instead.

## What You'd Actually Work On

Fireworks AI's product is a cloud-based platform for running, fine-tuning, and deploying open-source large language, vision, and multimodal models. The core technical challenge is making inference absurdly fast — and they're winning. Their FireAttention custom CUDA kernels consistently benchmark as the highest-throughput inference engine in the GPU-based tier.

### Technical stack

CUDA C++ Python PyTorch Kubernetes GPU Clusters Triton

The work spans several domains that rarely coexist in one company:

-   **Kernel engineering.** Writing custom CUDA kernels that optimize attention mechanisms, memory access patterns, and batch scheduling. This is the lowest-level work — the kind that requires thinking in terms of GPU warps, shared memory banks, and cache line alignment.
-   **Inference serving.** Building the distributed serving infrastructure that routes requests across GPU clusters, handles model loading/unloading, and maintains latency guarantees under variable load. Think of it as building a CDN, but for AI model predictions instead of static assets.
-   **Fine-tuning platform.** Managing the full pipeline from supervised fine-tuning (SFT) through Direct Preference Optimization (DPO) and reinforcement fine-tuning. Fireworks supports 400+ models and offers on-demand dedicated GPU deployments up to NVIDIA B300s.
-   **Speculative decoding.** The technique that powers Cursor's Fast Apply — predicting likely next tokens in parallel to speed up generation. Getting this right requires deep understanding of both model architectures and systems optimization.
-   **Enterprise reliability.** SOC 2 Type II, HIPAA, GDPR, ISO certifications. When DoorDash and Uber are your customers, compliance isn't optional. Engineering these guarantees into a fast-moving system is its own challenge.

The real-world impact is tangible. Notion partnered with Fireworks to fine-tune models and reduced their AI feature latency from 2 seconds to 350 milliseconds — a 5.7x improvement that users feel immediately. Cursor's Fast Apply, powered by Fireworks' speculative decoding, outperforms GPT-4 in both speed and accuracy for code edits. These aren't theoretical benchmarks. They're production numbers from products used by millions.

## Compensation

Compensation at Fireworks AI reflects its stage and the specialized talent it recruits. Based on employee-reported data, total compensation ranges vary significantly by level and location:

-   **Software Engineer (mid-level):** $175K–$220K base, with equity bringing total comp to $235K–$300K
-   **Senior Engineer (Bay Area):** Median total comp around $248K, with top-end packages reaching $412K+
-   **Equity:** At a $4B valuation with $315M ARR and 416% growth, early equity could be meaningful — especially if the company reaches the $15B valuation some reports suggest they're targeting

These numbers are competitive for a Series C startup but sit below the top end of frontier AI labs. [Anthropic](https://jobsbyculture.com/companies/anthropic) pays $300K–$490K for senior engineers, and [OpenAI](https://jobsbyculture.com/companies/openai) ranges from $350K–$550K. But Fireworks offers something those companies don't: the equity upside of a high-growth company that's still early enough for meaningful ownership. If Fireworks reaches even half the $15B valuation that recent reports suggest, current equity grants could 3–4x. See how Fireworks stacks up in our [highest-paying AI companies ranking](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

## Who Thrives at Fireworks AI

Based on the culture signals, product focus, and employee feedback, Fireworks AI is strongest for a specific type of engineer:

-   **Systems-level thinkers.** If you care about GPU memory hierarchies, kernel optimization, and distributed systems performance, this is one of the few companies where that expertise directly drives revenue. You're not building internal tools that might never ship — you're building the product.
-   **Builders who want breadth.** The [many-hats](https://jobsbyculture.com/values/many-hats) culture means you'll work across the stack, interact with customers, and shape product decisions. If you hate being boxed into a single domain, Fireworks gives you room to roam.
-   **People who find energy in intensity.** The pace is genuinely fast, the customers are demanding, and the stakes are high. If that energizes you rather than draining you, this is a remarkable place to be right now. The revenue growth (416% YoY) means the company is winning, not just surviving.
-   **Engineers who want to work with the best.** The founding team's PyTorch pedigree attracts similarly caliber hires. If you want to be the least experienced person in the room and [learn constantly](https://jobsbyculture.com/values/learning), the talent density here is exceptional.

Fireworks AI is _not_ ideal for engineers who want clear career ladders, predictable schedules, or a fully remote work setup. The 2.9 WLB score reflects genuine intensity, and at 189 employees, formal HR processes like promotion frameworks are still being built. Compare this with a more structured environment at [Databricks](https://jobsbyculture.com/companies/databricks) (7,000 employees, established career tracks) or [Stripe](https://jobsbyculture.com/companies/stripe) (8,000 employees, world-class internal processes). If you need structure, those companies offer what Fireworks doesn't — yet.

## How Fireworks AI Compares

Fireworks AI occupies a unique niche in the AI landscape. Here's how it stacks up against companies solving adjacent problems:

### [Together AI](https://jobsbyculture.com/companies/together-ai)

Competitor

Together AI also offers open-source model inference and fine-tuning, but emphasizes training capabilities and research partnerships more heavily. Fireworks is more focused on production inference speed — if you care about kernel-level optimization, Fireworks goes deeper. If you want to work on training large models, Together might be a better fit.

[View Together AI Profile →](https://jobsbyculture.com/companies/together-ai)

### [Modal](https://jobsbyculture.com/companies/modal)

Adjacent

Modal provides serverless GPU compute for AI workloads but operates at a different layer of the stack — it's more about compute orchestration than inference optimization. Fireworks' custom CUDA kernels go much deeper into the serving layer. Both companies share an engineering-driven culture and small-team intensity.

[View Modal Profile →](https://jobsbyculture.com/companies/modal)

### [Baseten](https://jobsbyculture.com/companies/baseten)

Adjacent

Baseten offers model inference infrastructure with a focus on developer experience and deployment simplicity. Fireworks differentiates on raw performance — their FireAttention kernels are purpose-built for throughput. Baseten's approach is more "make inference easy," while Fireworks' is "make inference impossibly fast."

[View Baseten Profile →](https://jobsbyculture.com/companies/baseten)

## Open Positions at Fireworks AI

Fireworks AI currently has **36 open positions** on our platform, spanning systems engineering, ML infrastructure, and go-to-market roles. The company has announced plans to hire 150+ new AI researchers and engineers following their Series C, so expect the pace of hiring to accelerate. For a company generating $315M ARR with 189 employees, each new hire carries significant weight — and significant opportunity for impact.

## Frequently Asked Questions

How many employees does Fireworks AI have in 2026?+

Fireworks AI has approximately 189 employees as of March 2026. The company was founded in 2022 and has grown rapidly — they plan to hire 150+ new AI researchers and engineers following their $250M Series C. For context across AI companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Fireworks AI's valuation?+

Fireworks AI was valued at $4 billion following its $250M Series C round in October 2025. The round was co-led by Lightspeed Venture Partners, Index Ventures, and Evantic, with continued backing from Sequoia Capital. Reports suggest the company may be targeting a $15B valuation in its next round, reflecting 416% year-over-year revenue growth.

Who founded Fireworks AI?+

Fireworks AI was co-founded in 2022 by Lin Qiao (CEO), who was formerly Head of PyTorch and Senior Director of Engineering at Meta, leading 300+ engineers. Co-founders include Dmytro Dzhulgakov (PyTorch core maintainer), James Reed (PyTorch compiler lead), Benny Chen (Meta ads infra lead), and Chenyu Zhao (Google Vertex AI lead).

What companies use Fireworks AI?+

Fireworks AI powers production inference for [Cursor](https://jobsbyculture.com/companies/cursor) (Fast Apply feature), [Perplexity](https://jobsbyculture.com/companies/perplexity), [Notion](https://jobsbyculture.com/companies/notion), Sourcegraph, Uber, DoorDash, Shopify, and Upwork, among 10,000+ enterprise customers. Use cases span code assistance, conversational AI, enterprise search, and agentic workflows.

What is the salary at Fireworks AI?+

Software engineer total compensation at Fireworks AI ranges from approximately $175K to $412K depending on level and location. The median total comp is around $235K, with Bay Area roles averaging $248K. These figures include base salary, equity, and bonuses. See our [highest-paying AI companies](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) for comparisons.

What is Fireworks AI's Glassdoor rating?+

Fireworks AI has a Glassdoor rating of 3.6 out of 5.0, based on a limited number of reviews (~8). Work-life balance is rated 2.9/5, reflecting startup intensity. Employees highlight the exceptional technical caliber of peers and cutting-edge inference work, while noting the demanding pace and lack of formal career structure. See our [Fireworks AI culture profile](https://jobsbyculture.com/companies/fireworksai) for the full breakdown.

### Explore Fireworks AI Jobs

See all 36 open roles at Fireworks AI alongside jobs from 118 companies — all with culture context.

[View Fireworks AI Profile →](https://jobsbyculture.com/companies/fireworksai) [Browse Fireworks AI Jobs →](https://jobsbyculture.com/jobs?company=fireworksai)

---

## Document: Working at GitLab in 2026: The All-Remote Pioneer's Culture, Salary & Reviews

# Working at GitLab in 2026: The All-Remote Pioneer's Culture, Salary & Reviews

> Working at GitLab in 2026: ~2,375 employees (pre-2026 restructuring) across 67+ countries, 3.6 Glassdoor rating, fully remote since day one, and what employees say about the handbook-driven culture.

Source: https://jobsbyculture.com/blog/working-at-gitlab-2026
Markdown: https://jobsbyculture.com/blog/working-at-gitlab-2026.md
Last updated: 2026-07-14

---
[GitLab](https://jobsbyculture.com/companies/gitlab) is one of the most fascinating companies in tech — not because of its DevOps platform (though that's impressive), but because of how it operates. Founded in 2011 by Sid Sijbrandij and Dmitriy Zaporozhets, GitLab has been fully remote from day one. No headquarters. No offices. No "hybrid Wednesdays." Just ~2,000 people spread across 67+ countries, coordinating entirely through async communication, merge requests, and what might be the most comprehensive public company handbook ever written.

GitLab went public on NASDAQ (GTLB) and built a DevOps platform used by millions of developers. But what sets it apart culturally is the radical transparency experiment: nearly everything — from compensation formulas to meeting notes to strategic decisions — is documented publicly. It's a company that treats its own operating system as an open-source project. Whether you're evaluating a GitLab offer, researching remote-first companies, or simply curious about what radical transparency looks like in practice, here's what you need to know about working at GitLab in 2026.

## GitLab at a Glance

Founded

2011

Headquarters

None (all-remote, registered in San Francisco)

Founders

Sid Sijbrandij & Dmitriy Zaporozhets

Company Size

~2,375 employees (pre-2026 restructuring)

Public / Private

Public (NASDAQ: GTLB)

Glassdoor Rating

3.6 / 5.0 (727 reviews)

Work-Life Balance

3.9 / 5.0

Recommend to Friend

61%

Open Roles

191 on Greenhouse

Culture Values

[Open-Source](https://jobsbyculture.com/values/open-source), [Remote](https://jobsbyculture.com/values/remote), [Async](https://jobsbyculture.com/values/async), [Transparent](https://jobsbyculture.com/values/transparent), [Eng-Driven](https://jobsbyculture.com/values/eng-driven)

GitLab occupies a unique position among the [companies in our Culture Directory](https://jobsbyculture.com/companies). It's the company that other remote-first startups point to when they need to justify their own remote policies. It pioneered the public handbook model that companies like Sourcegraph and PostHog later adopted. And it did all of this while building a serious enterprise software product that competes with GitHub, Atlassian, and a dozen other DevOps incumbents. But the Glassdoor data tells a more complicated story than the remote-work evangelism suggests — one of genuine strengths paired with real organizational challenges.

## The All-Remote Reality

When most companies say "remote-friendly," they mean some people can work from home some of the time. When GitLab says "all-remote," they mean it literally. There are no offices. There is no headquarters building with a reception desk. The San Francisco address exists for legal and financial purposes. Every single one of GitLab's roughly 2,025 employees (after the June 2026 restructuring reduced staff by ~350 and pulled out of 22 countries) works from wherever they choose, across the remaining countries and hundreds of cities.

This isn't a pandemic-era experiment that stuck. GitLab was remote before remote was trendy. Sid Sijbrandij and Dmitriy Zaporozhets started building the product from different countries, and the company never saw a reason to change. By the time COVID-19 forced the rest of tech into remote work, GitLab had been operating this way for nearly a decade and had already documented everything they'd learned.

Employee Pro "True remote-first culture — not hybrid pretending to be remote. You can work from literally anywhere and nobody treats you as a second-class employee."

The practical reality of all-remote at GitLab means a few things. First, your timezone is your own. GitLab doesn't mandate core hours. If you're most productive at 6 AM or 11 PM, that's your call. Second, there are no "in-office" employees who get preferential access to leadership or spontaneous hallway decisions. Every conversation that matters happens in writing — in issues, merge requests, or handbook updates. Third, you can relocate without asking permission. Move from Berlin to Bali, and your work doesn't change (though your compensation might — more on that later).

But all-remote also means genuine isolation. There's no office to go to when you want social interaction. There are no team lunches, no after-work drinks, no whiteboard sessions. GitLab tries to offset this with virtual coffee chats, team off-sites, and an annual company gathering called Contribute. But multiple Glassdoor reviews mention loneliness and disconnection as real downsides, particularly for people earlier in their careers who benefit from the mentorship and social fabric that offices provide.

Employee Con "Fully remote sounds great until you realize you haven't spoken to a colleague out loud in three days. The isolation is real, and virtual coffee chats only go so far."

## The Public Handbook: GitLab's Operating System

If GitLab's all-remote model is its most visible cultural feature, the [public handbook](https://handbook.gitlab.com?ref=jobsbyculture.com) is its most radical one. The GitLab Handbook is a publicly accessible, continuously updated document that describes how the entire company operates. It covers everything: how to run a meeting, how compensation is calculated, how to give feedback, how to get promoted, how engineering teams ship code, how the sales process works, how the CEO makes decisions.

The handbook contains thousands of pages. It is, in many ways, the source code for GitLab as an organization. And it's public. Anyone — prospective employees, competitors, journalists, curious engineers — can read exactly how GitLab works. This level of transparency is almost unheard of in corporate tech. Most companies guard their operating procedures jealously. GitLab publishes them for the world to see.

For employees, the handbook creates a distinctive working experience. On the positive side, it eliminates ambiguity. When you're new, you don't need to figure out "how things work here" through trial and error or political navigation. The answer is written down. Promotion criteria? In the handbook. Expense policy? In the handbook. How to disagree with your manager? In the handbook. This is particularly powerful for remote workers who can't walk over to a colleague's desk and ask.

Employee Pro "The handbook is genuinely amazing. Everything is documented. No hidden rules, no unwritten expectations. You always know where you stand."

On the negative side, the handbook can feel bureaucratic. Some employees describe a culture where "if it's not in the handbook, it doesn't exist" — and where updating the handbook becomes an end in itself rather than a means to better outcomes. The sheer volume of documentation can be overwhelming for new hires. And the emphasis on written process can sometimes slow down decisions that would be faster with a quick conversation.

## Glassdoor Ratings Breakdown

GitLab's overall Glassdoor rating of 3.6 out of 5.0, based on 727 employee reviews, places it in the middle tier of companies in our [directory](https://jobsbyculture.com/companies). It's lower than many developer-tools peers — [Datadog](https://jobsbyculture.com/companies/datadog) and other DevOps companies often score higher. But the sub-category breakdown reveals where GitLab genuinely excels and where it struggles.

Work-Life Balance 3.9

Overall Rating 3.6

Culture & Values 3.6

Career Opportunities 3.4

The Work-Life Balance score of 3.9 is the standout — and it makes sense. When you control your own schedule, work from anywhere, and operate async-first, you have genuine flexibility to structure your day around your life rather than the other way around. This is GitLab's strongest selling point as an employer, and employees consistently call it out.

The Culture & Values score of 3.6 is more nuanced. GitLab's stated values (Collaboration, Results, Efficiency, Diversity, Iteration, Transparency — forming the acronym CREDIT) are well-documented and genuinely influence how people work. But the gap between aspirational values and daily reality is wider than at some companies. Multiple reviews mention that transparency can feel performative when leadership makes decisions that contradict the handbook's principles.

The Career Opportunities score of 3.4 is the weakest area. Several reviews note limited upward mobility, flat career ladders in some functions, and a sense that growth paths aren't always clear despite being documented. For a company that prides itself on documentation, the gap between written career frameworks and actual promotion velocity has been a recurring concern.

## Engineering at GitLab

GitLab's engineering culture has a unique meta-quality: engineers use GitLab to build GitLab. The product is the tool, and the tool is the product. This creates an unusually tight feedback loop where every engineer is simultaneously a builder and a user. If something about the development workflow is broken, you feel it immediately — and you have the power to fix it in the same codebase.

### Tech Stack

Ruby on Rails Go Vue.js PostgreSQL Redis Kubernetes

GitLab's core application is a large Ruby on Rails monolith — one of the biggest in the world. Performance-critical components like Gitaly (the Git storage service) are written in Go. The frontend uses Vue.js. Infrastructure runs on Kubernetes. It's a stack that reflects pragmatic choices made over a decade of development rather than a greenfield architecture optimized for resume points.

### How engineering works

-   **Async-first development.** Code reviews, design discussions, and technical decisions happen in merge requests and issues, not meetings. Engineers in Tokyo and engineers in Toronto contribute to the same feature without ever being online at the same time. This is async at its most genuine — not "we have fewer meetings" but "meetings are the exception, not the rule."
-   **Open-source core.** GitLab CE (Community Edition) is fully [open-source](https://jobsbyculture.com/values/open-source). Engineers contribute to a codebase that millions of developers worldwide use, fork, and contribute back to. This creates a unique accountability — your code is public, your commit history is visible, and the community will tell you directly if something is broken.
-   **Monthly release cadence.** GitLab ships a new version on the 22nd of every month, without exception. This predictable cadence creates clear deadlines and a rhythm that engineers either love (for its clarity) or find constraining (for its rigidity). Features that miss the cutoff wait until the next month.
-   **Dogfooding everything.** GitLab's CI/CD, issue tracking, code review, and project management are all done in GitLab. If a feature is frustrating to use internally, it gets prioritized for improvement. This creates a product development culture where empathy for users is built into the daily workflow.

Employee Pro "Contributing to an open-source product used by millions is deeply satisfying. Your work matters in a way that's immediately visible."

## Compensation & Equity

GitLab's approach to compensation is as transparent as everything else — and as controversial. The company uses a location-based compensation calculator that is publicly documented in the handbook. Your pay is determined by a formula that factors in your role, level, and the cost of living in your location. An engineer in San Francisco earns more than an identical engineer in Lisbon, even though they do the same work.

67+

Countries with Employees

3.9

Work-Life Balance

61%

Recommend to Friend

This approach is philosophically consistent — GitLab argues that paying the same salary regardless of location would mean either underpaying in expensive cities or overpaying in affordable ones. But it creates friction. Engineers in mid-cost cities sometimes feel their compensation doesn't reflect their skill level or contribution. And the transparency of the formula means everyone knows exactly what everyone else earns, which can create uncomfortable comparisons.

As a publicly traded company (GTLB), GitLab offers RSUs (Restricted Stock Units) as part of compensation. The stock's performance since IPO has been mixed, which affects how employees perceive the total value of their package. Unlike pre-IPO companies where equity is a bet on future value, GitLab RSUs have a known market price — for better or worse.

Employee Con "Location-based pay means I earn significantly less than peers at GitHub or other companies who pay SF rates regardless of where you live. The transparency is nice but the actual numbers can be disappointing."

## Leadership Challenges

The most consistent criticism of GitLab across Glassdoor reviews centers on leadership. While the handbook documents how decisions should be made, multiple reviews describe a gap between the written process and the lived experience. Frequent organizational restructuring, shifting strategic priorities, and leadership turnover have been recurring themes.

Sid Sijbrandij — co-founder and long-time CEO — stepped down in December 2024 to focus on his health (he had been undergoing cancer treatment) and transitioned to executive chair of the board. **Bill Staples**, previously CEO of New Relic and a Microsoft/Adobe veteran, took over as CEO immediately. The transition kicked off a new strategic chapter. Sijbrandij is still credited internally for the transparency, remote work, and handbook-driven culture he built. The 61% "recommend to friend" rate — while not terrible — is notably lower than many companies of similar profile and reflects ambivalence about the prior leadership era as well as ongoing strategic shifts.

In May/June 2026, under Bill Staples, GitLab announced it would **lay off approximately 350 employees (~14% of staff)** and exit 22 countries as part of a restructuring aimed at funding its "Act 2" AI strategy and the GitLab Duo Agent Platform. The company expects $30M–$35M in pre-tax restructuring charges and reported Q1 fiscal 2027 revenue of $264M (up 23% YoY) the same week. This is a significant cultural moment for a company whose brand has been built on stable, all-remote, deeply documented operations — new hires should weigh how the restructuring will reshape teams and ladders over the coming year.

Employee Con "Frequent reorgs and shifting priorities make it hard to feel stable. The handbook says one thing about how decisions are made, but reality doesn't always match."

It's worth noting that leadership instability is not uncommon at publicly traded companies navigating the transition from startup to mature enterprise. GitLab is under constant pressure from investors to grow revenue, improve margins, and compete effectively against GitHub (backed by Microsoft) and Atlassian. Some of the organizational turbulence reflects the genuine difficulty of that challenge rather than poor leadership per se.

## Who Thrives at GitLab (and Who Doesn't)

GitLab is a strong fit for a specific type of person. Based on the culture signals, employee reviews, and the company's operating model, here's who tends to do well:

-   **Self-directed remote workers.** If you're the kind of person who thrives with autonomy, structures your own day, and doesn't need an office to stay motivated, GitLab is built for you. The [async-first](https://jobsbyculture.com/values/async) culture rewards people who communicate clearly in writing and don't need synchronous validation to move forward.
-   **Documentation-first thinkers.** If you naturally write things down, prefer clarity over ambiguity, and believe that institutional knowledge should be accessible to everyone, GitLab's handbook culture will feel like home. You'll contribute to a living document that shapes how the company operates.
-   **Open-source enthusiasts.** If contributing to a codebase used by millions of developers excites you, and you're comfortable with your work being publicly visible, GitLab's [open-source](https://jobsbyculture.com/values/open-source) model is deeply rewarding. The community engagement adds a dimension to the work that you don't get at most companies.
-   **People who value flexibility over prestige.** GitLab won't offer you a sleek office, catered lunches, or the social scene of a San Francisco tech company. What it offers is genuine freedom — to live where you want, work when you want, and design your life around your work rather than the reverse.
-   **Global citizens.** If you want to work with colleagues across dozens of countries and time zones, GitLab's global footprint creates a genuinely international experience that few other companies can match.

GitLab is _not_ ideal for people who need in-person collaboration to do their best work, who thrive on spontaneous brainstorming sessions, or who want the social environment of an office. It's also a challenging fit for people who prefer clear, stable organizational direction — the leadership challenges and frequent reorgs can feel disorienting. If you want top-of-market compensation regardless of location, companies like GitHub or companies in our [strong equity directory](https://jobsbyculture.com/values/equity) may be a better fit.

## The Pros and Cons, Summarized

### What employees consistently praise

Pro "Genuine all-remote culture — work from anywhere, any timezone, with no second-class citizens"

Pro "The handbook eliminates guesswork — everything is documented, from promotion criteria to expense policies"

Pro "Async-first means fewer meetings and more deep work — your calendar is genuinely yours"

Pro "Contributing to open-source software used by millions of developers is meaningful work"

### What employees consistently criticize

Con "Leadership instability and frequent reorgs create uncertainty — hard to plan long-term"

Con "Location-based pay means below-market compensation in many cities compared to peers"

Con "The isolation of fully remote work is real — no office means no escape from your home"

Con "Career growth can feel limited — 3.4/5 career opportunities rating reflects real gaps in advancement"

## Open Positions at GitLab

GitLab currently has 165 open roles on Greenhouse, spanning engineering, product, security, sales, and marketing. As a fully remote company, most positions are open to candidates worldwide, though some roles may have geographic restrictions based on entity and compliance requirements. If the async-first, handbook-driven, all-remote culture described in this post resonates with you, GitLab is worth serious consideration — particularly if you value location independence and schedule flexibility above all else.

For full details on GitLab's culture values, employee reviews, and open roles, visit the [GitLab culture profile page](https://jobsbyculture.com/companies/gitlab) or [browse all GitLab jobs](https://jobsbyculture.com/jobs?company=gitlab).

## Frequently Asked Questions About Working at GitLab

Is GitLab fully remote in 2026?+

Yes. GitLab is one of the world's largest all-remote companies, with approximately 2,000 employees spread across 67+ countries and zero offices. GitLab has been fully [remote](https://jobsbyculture.com/values/remote) since its founding in 2011 and has no plans to open physical offices. The company has published extensive documentation on how to run an all-remote organization at [handbook.gitlab.com](https://handbook.gitlab.com?ref=jobsbyculture.com).

How many employees does GitLab have?+

GitLab has approximately 2,000 employees as of 2026. The company is publicly traded on NASDAQ under the ticker GTLB. Despite being registered in San Francisco, GitLab has no offices — all employees work remotely from 67+ countries around the world.

What is GitLab's Glassdoor rating?+

GitLab has a 3.6 out of 5.0 overall Glassdoor rating based on 727 reviews. Work-Life Balance is rated 3.9/5, Culture & Values 3.6/5, and Career Opportunities 3.4/5. 61% of employees recommend working there. See our [full GitLab culture profile](https://jobsbyculture.com/companies/gitlab) for the complete breakdown.

What is the GitLab Handbook?+

The GitLab Handbook is the company's public, comprehensive guide to how GitLab operates — covering everything from onboarding and communication norms to compensation philosophy and engineering workflows. It contains thousands of pages and is hosted at [handbook.gitlab.com](https://handbook.gitlab.com?ref=jobsbyculture.com). GitLab uses it as the single source of truth for all processes, making it one of the most radically [transparent](https://jobsbyculture.com/values/transparent) corporate documents in tech.

What is GitLab's engineering culture like?+

GitLab's engineering culture is built around its own product — the GitLab DevOps platform. Engineers use GitLab to build GitLab, creating a tight feedback loop. The engineering workflow is [async-first](https://jobsbyculture.com/values/async), with merge requests, issues, and documentation replacing most meetings. The core product is [open-source](https://jobsbyculture.com/values/open-source) (GitLab CE), and engineers contribute to a codebase used by millions of developers worldwide. The tech stack includes Ruby on Rails, Go, Vue.js, and PostgreSQL.

How does GitLab handle compensation?+

GitLab uses a transparent, location-based compensation calculator that is publicly documented in their handbook. Pay is adjusted based on the cost of living in an employee's location. As a publicly traded company (GTLB), employees receive RSUs. The approach is transparent but can feel limiting for employees in high-cost cities compared to companies that pay SF-level rates regardless of location.

What are the biggest challenges of working at GitLab?+

The most commonly cited challenges include leadership instability and frequent organizational changes, location-based pay that can feel below market in expensive cities, the isolation that comes with fully remote work with no office option, and limited career growth opportunities (rated 3.4/5). The 61% "recommend to friend" rate reflects these mixed sentiments alongside GitLab's genuine strengths in flexibility and transparency.

### Explore GitLab jobs with culture context

See GitLab's 165 open roles alongside employee reviews, culture values, and side-by-side comparisons with other remote-first companies.

[Browse GitLab Jobs →](https://jobsbyculture.com/jobs?company=gitlab) [View GitLab Profile →](https://jobsbyculture.com/companies/gitlab)

---

## Document: Working at Glean in 2026: Culture, Compensation & What Engineers Say

# Working at Glean in 2026: Culture, Compensation & What Engineers Say

> Working at Glean in 2026: 1,625 employees, 3.8 Glassdoor rating, $207k median comp, and what engineers really say about the AI enterprise search company founded by ex-Google leadership.

Source: https://jobsbyculture.com/blog/working-at-glean-2026
Markdown: https://jobsbyculture.com/blog/working-at-glean-2026.md
Last updated: 2026-07-14

---
[Glean](https://jobsbyculture.com/companies/glean) is one of the fastest-growing enterprise AI companies in Silicon Valley. Founded in 2019 by Arvind Jain (ex-Google Distinguished Engineer and Rubrik co-founder), along with co-founders Vishwanath T R, Tony Gentilcore, and Piyush Prahladka, the company has built an AI-powered work assistant that understands everything a company knows. It searches across Slack, Google Drive, Jira, Confluence, Salesforce, and dozens of other tools to surface the right information instantly. The company hit $300M in ARR in May 2026 and is valued at $7.2B following its June 2025 Series F.

With approximately 1,625 employees and 132 open roles, Glean is in aggressive growth mode. But behind the rapid scaling, there's a fascinating tension in the employee data: software engineers rate the company 4.7/5 on Glassdoor — one of the highest engineering-specific scores we track — while the overall company rating sits at 3.8. That gap tells you something important about who thrives at Glean and who doesn't.

## Glean at a Glance

Founded

2019

Headquarters

Palo Alto, CA

Founders

Arvind Jain (CEO, ex-Google), Vishwanath T R, Tony Gentilcore, Piyush Prahladka

Company Size

~1,625 employees

Valuation

~$7.2B (Series F, Jun 2025)

ARR

~$300M (May 2026)

Glassdoor Rating

3.8 / 5.0 (93 reviews)

Engineer Rating

4.7 / 5.0 (engineering-specific)

Recommend to Friend

75%

Median Compensation

$207,150

Open Roles

[178 jobs](https://jobsbyculture.com/jobs?company=glean)

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Learning](https://jobsbyculture.com/values/learning), [Product Impact](https://jobsbyculture.com/values/product-impact), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Transparent](https://jobsbyculture.com/values/transparent)

4.7

Engineer Glassdoor Score

178

Open Roles

$207k

Median Total Comp

## The Google Search DNA

What makes Glean unusual among AI startups is its founding story. Arvind Jain didn't come from a generalist AI background — he spent over a decade leading search quality at Google, working on the algorithms that determine what billions of people find when they search. Several members of the founding engineering team came from the same Google search infrastructure org.

This pedigree shows up in the product. Glean isn't bolting a chatbot onto a keyword search engine. It's building genuine semantic understanding of enterprise knowledge graphs — who knows what, how documents relate to each other, which Slack threads contain the institutional knowledge that never made it to the wiki. The engineering problems are genuinely hard, and for engineers who care about information retrieval, NLP, and LLM applications at scale, there's arguably no better place to work on these problems in an enterprise context.

Employee Pro "Best engineering team I've worked with. The founding team's Google search background means the bar is incredibly high, and you learn something new every week."

## Glassdoor Ratings Breakdown

Glean's overall 3.8 rating masks significant variation by role. Engineers love it (4.7). But the sales organization and some operational roles pull the average down considerably. Here's how the sub-categories break down:

Career Opportunities 4.4

Work-Life Balance 3.9

Overall Rating 3.8

Culture & Values 3.7

Compensation & Benefits 3.6

The career opportunities score (4.4) is the standout — consistent with employees describing Glean as a place where you learn fast and grow quickly. The compensation score (3.6) is the weak point and a recurring theme in reviews: Glean pays well by startup standards, but below frontier AI companies like [Anthropic](https://jobsbyculture.com/companies/anthropic) ($300k–$490k) or [OpenAI](https://jobsbyculture.com/companies/openai) ($350k–$550k). The median of $207k is solid, but engineers coming from FAANG may find it a step down in total comp.

## What Employees Actually Say

### What employees love

Employee Pro "Great team building an awesome product solving real problems for companies and users. The engineering talent bar is exceptionally high."

Employee Pro "Good people, decent culture, fun space to be in. Monthly all-hands are genuinely transparent and leadership is accessible."

-   **World-class engineering talent** — the Google search pedigree attracts strong engineers who push each other
-   **High career growth** — 4.4/5 career opportunities reflects real ownership and rapid skill development
-   **Product-market fit** — customers love the product, which translates to meaningful work for engineers
-   **Transparent leadership** — monthly all-hands, accessible executives, growth mindset culture

### What could be better

Employee Con "Sales org has high churn and some toxicity issues, particularly in EMEA and US. Engineering is shielded but occasionally feels the effects."

Employee Con "Compensation is below market compared to other AI companies at similar scale. The equity story needs to be compelling enough to make up the gap."

-   **Below-market compensation** — 3.6/5 comp score; base is fine but total comp lags peers
-   **Sales org challenges** — high turnover and quota issues in GTM sometimes impact eng priorities
-   **Pace can be intense** — 3.8 WLB reflects a startup still in high-growth mode
-   **Role clarity during scaling** — typical growing pains as the org rapidly expands from 500 to 1,500 people

## Engineering Culture & Tech Stack

The engineering organization is the crown jewel at Glean. With a 4.7 Glassdoor score from engineers (vs. 3.8 overall), there's clearly something special happening on the technical side. Engineers consistently describe world-class colleagues, hard technical problems, and genuine autonomy to ship features that matter.

Glean's core technical challenge is understanding the full knowledge graph of an enterprise — not just the content of documents, but the relationships between people, teams, projects, and conversations. This requires cutting-edge work in:

Python Go TypeScript PyTorch Elasticsearch Kubernetes LLMs RAG

-   **Semantic search & retrieval** — building enterprise-grade vector search across hundreds of data sources
-   **Knowledge graph construction** — understanding organizational relationships and information flow
-   **LLM applications at scale** — RAG pipelines, summarization, and AI assistants for enterprise workloads
-   **Data connectors** — integrating deeply with Slack, Google Workspace, Salesforce, Jira, and 100+ enterprise tools

## Who Thrives at Glean

The 4.7 engineering score vs. 3.8 overall tells you exactly who does well here. Glean is built for engineers who want:

-   To work alongside ex-Google search engineers on genuinely hard AI/ML problems
-   High ownership and fast shipping cadence — this isn't a research lab, it's production AI
-   A product with clear market demand — enterprise customers pay serious money for this
-   Growth opportunities in a company scaling from Series D toward potential IPO

It's _not_ the right fit if you prioritize top-of-market total comp (look at [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai) instead), or if you want a slower-paced environment with strict 9-to-5 boundaries. The 3.8 WLB score is honest — Glean is a company with urgency.

### Explore Glean Jobs

132 open roles across engineering, product, sales, and more.

[Browse Glean Jobs →](https://jobsbyculture.com/jobs?company=glean) [Full Company Profile →](https://jobsbyculture.com/companies/glean)

## Frequently Asked Questions

How many employees does Glean have in 2026? +

Glean has approximately 1,625 employees as of 2026. The company has grown rapidly from its founding in 2019, driven by strong demand for enterprise AI search and work assistant products.

What is Glean's Glassdoor rating? +

Glean has a 3.8 out of 5.0 overall Glassdoor rating based on 93 reviews. Software engineers specifically rate it 4.7/5 — one of the highest engineering-specific scores in our directory. 75% of employees recommend working there.

What is Glean's compensation for engineers? +

The median total compensation at Glean is $207,150. Compensation is rated 3.6/5 on Glassdoor, which is below average for AI companies of similar size. Base salary is competitive but equity packages may be less generous than peers like Anthropic or OpenAI.

Who founded Glean? +

Glean was founded in 2019 by Arvind Jain (CEO, a former Google Distinguished Engineer and Rubrik co-founder) along with co-founders Vishwanath T R, Tony Gentilcore, and Piyush Prahladka. The founding team includes several ex-Google engineers who worked on core search infrastructure.

Is Glean a good place to work for AI engineers? +

Yes, if you value learning from world-class search and AI talent. Engineers give it 4.7/5 on Glassdoor. The main trade-offs are compensation (3.6/5) and fast pace (3.8 WLB). If you prioritize top comp, frontier AI labs may be better options.

What is Glean's engineering culture like? +

Glean's engineering culture is built around the founding team's Google search expertise. Engineers report high ownership, cutting-edge ML work in retrieval and LLMs, and strong collaboration. The bar for technical talent is exceptionally high.

---

## Document: Working at Grafana Labs in 2026: Culture, Compensation & What Employees Say

# Working at Grafana Labs in 2026: Culture, Compensation & What Employees Say

> Working at Grafana Labs in 2026: 1,775 employees, $9B valuation, 4.1 Glassdoor rating, 100% remote-first across 40+ countries, and what building the world

Source: https://jobsbyculture.com/blog/working-at-grafana-labs-2026
Markdown: https://jobsbyculture.com/blog/working-at-grafana-labs-2026.md
Last updated: 2026-07-14

---
[Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) is one of the most unusual success stories in enterprise software. The company behind Grafana — the open-source visualization tool used by virtually every DevOps team on the planet — has grown into a $9 billion business with over 7,000 customers, $400M+ in annual recurring revenue, and roughly 1,775 employees spread across 40+ countries. And it did this while keeping 80% of its engineering effort on open-source projects that anyone can download for free.

That combination — massive commercial success built on genuine open-source commitment, operated as a fully remote company with no central office — makes Grafana Labs worth studying whether you're evaluating an offer, preparing for interviews, or just trying to understand what a well-run [remote-first](https://jobsbyculture.com/values/remote) engineering organization actually looks like. We dug into employee reviews, the LGTM stack, compensation data, and the culture trade-offs to give you the full picture.

## Grafana Labs at a Glance

Founded

2014

Headquarters

Fully Remote (40+ countries)

Founders

Raj Dutt, Torkel Ödegaard, Anthony Woods

Company Size

~1,775 employees

Valuation

~$9B (Series E, March 2026)

ARR

$400M+ (as of Sep 2025)

Glassdoor Rating

4.1 / 5.0 (218 reviews)

Work-Life Balance

4.3 / 5.0

CEO Approval

89% (Raj Dutt)

Recommend to Friend

79%

Culture Values

[Remote-First](https://jobsbyculture.com/values/remote), [Open Source](https://jobsbyculture.com/values/open-source), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Transparent](https://jobsbyculture.com/values/transparent), [Work-Life Balance](https://jobsbyculture.com/values/wlb), [Learning](https://jobsbyculture.com/values/learning)

Among the [118 companies in our Culture Directory](https://jobsbyculture.com/companies), Grafana Labs occupies a rare position: it's one of the few that genuinely delivers on [remote-first](https://jobsbyculture.com/values/remote), [open-source](https://jobsbyculture.com/values/open-source), and [work-life balance](https://jobsbyculture.com/values/wlb) simultaneously. Most companies pick one or two. Grafana Labs has built a culture around all three — and the employee data backs it up.

## The Open-Source Engine

To understand Grafana Labs' culture, you have to understand its relationship with open source. This isn't a company that slaps an MIT license on a side project and calls itself open-source-friendly. Grafana Labs dedicates roughly 80% of its engineering resources to open-source work. The core products — Grafana, Loki, Tempo, Mimir, Pyroscope, Alloy — are all open source under AGPLv3. The commercial offering, Grafana Cloud, is essentially a managed version of the same stack.

This model shapes everything about the engineering experience. When you write code at Grafana Labs, it ships in the open. Your pull requests are public. Your design decisions are scrutinized by a community of millions. The LGTM stack (Loki, Grafana, Tempo, Mimir) is used by teams at NVIDIA, Anthropic, Salesforce, and Microsoft — your code is running in production at some of the most demanding environments on earth.

For engineers who care about impact beyond a single company's codebase, this is intoxicating. Multiple reviewers describe it as the closest thing to working on a successful open-source project full-time while getting a competitive salary. The flip side: you're building in public, which means your mistakes are public too. Code quality standards are high because the audience isn't just your team — it's the entire observability community.

Employee Pro "100% remote-first across 40+ countries with generous PTO and mandatory shutdown days. Engineering colleagues are absurdly talented."

## The LGTM Stack: What You'd Actually Build

Grafana Labs' engineering organization is structured around the LGTM stack, and the technical depth is genuine. Each component handles observability at a scale that very few companies encounter.

### Tech Stack

Go React TypeScript Kubernetes Prometheus OpenTelemetry Kafka Object Storage

**Grafana** is the visualization and dashboarding layer — the most widely deployed observability frontend in the world. The frontend team works in React and TypeScript, building a plugin ecosystem that thousands of third-party developers extend. Grafana 13, released in early 2026, represents a major evolution of the platform with deeper OpenTelemetry integration and a revamped query experience.

**Loki** is a log aggregation system designed to be cost-effective at massive scale. Unlike Elasticsearch-based solutions, Loki indexes only metadata (labels), not the full log content, which makes it dramatically cheaper to operate. The engineering challenge is building a system that queries petabytes of compressed log data in seconds. The 2026 roadmap includes a next-generation architecture with significant performance improvements.

**Mimir** is a horizontally scalable, Prometheus-compatible metrics backend. Mimir 3.0, released at KubeCon 2025, introduced a decoupled architecture with an asynchronous Kafka ingest layer and a new query engine that reduces memory usage by up to 92%. These are genuine distributed systems problems — not CRUD apps with a database.

**Tempo** is a distributed tracing backend that stores traces in object storage (S3, GCS) without requiring a complex indexing layer. Tempo 2.9 introduced AI-assisted trace analysis, pushing into the intersection of observability and machine learning.

If you write Go and care about distributed systems, Grafana Labs is one of the strongest options in the industry. The entire backend is Go, the problems are genuinely hard, and your work ships to millions of users through the open-source channel.

## Glassdoor Ratings Breakdown

Grafana Labs' overall Glassdoor rating of 4.1 out of 5.0, based on 220+ employee reviews, tells two very different stories depending on which part of the company you look at. Software engineers specifically rate their Compensation & Benefits at 4.9/5 on Glassdoor, and the engineering experience is widely praised in qualitative reviews. The aggregate number is pulled down by significantly weaker scores in sales and management.

Work-Life Balance 4.3

Culture & Values 4.2

Overall Rating 4.1

Career Opportunities 3.9

Senior Management 3.6

The Work-Life Balance score of 4.3 is among the best in our directory — comparable to [Notion](https://jobsbyculture.com/companies/notion) (4.0) and [Linear](https://jobsbyculture.com/companies/linear) (4.4). The mandatory shutdown days, 30 vacation days, and genuine respect for personal time make this one of the few companies where "work-life balance" isn't just a tagline on the careers page.

The Senior Management score of 3.6, however, is the company's Achilles heel. This is the single biggest drag on the overall rating and the source of most negative reviews. The management gap is particularly pronounced on the go-to-market side, where sales reviews describe unrealistic quotas, high turnover, and a culture that feels disconnected from the engineering organization's values.

## What Employees Actually Say

### What employees love

Employee Pro "Fully remote, fully async, fully awesome. Set your own schedule, nobody micromanages, just deliver great work."

Employee Pro "The caliber of engineers here is unreal. Working alongside people who maintain Prometheus, Loki, and Grafana — you learn something new every day."

Employee Pro "30 vacation days plus mandatory shutdown periods. The company genuinely respects your time off — no Slack messages, no pressure to check in."

Employee Pro "Open source means your work has real impact beyond one company. Code I wrote is running at thousands of organizations."

The theme across positive reviews is remarkably consistent: exceptional colleagues, genuine remote flexibility, and meaningful open-source work. Engineers describe a culture where technical merit drives decisions, where you're trusted to manage your own time, and where the problems are genuinely interesting. Software engineers specifically rate their Compensation & Benefits at 4.9/5 on Glassdoor — one of the highest comp ratings in our directory — reflecting a company that has optimized its culture (and pay) primarily for engineering satisfaction.

### What could be better

Employee Con "Career progression above staff level is limited. If you want to move into VP/Director, options are scarce."

Employee Con "Sales organization feels like a completely different company — high turnover, unrealistic targets, blame culture."

Employee Con "Fully remote means it can be hard to build personal connections. You have to be intentional about relationship-building."

Employee Con "Product management sometimes feels marginalized — engineers hold disproportionate power in prioritization decisions."

The cons reveal a company with a clear bias toward engineering. Career progression above staff engineer is limited — a common issue at companies of this size that haven't yet built deep management layers. The sales organization gets consistently worse reviews than engineering, suggesting a cultural divide between the team building the product and the team selling it. And while remote work is praised, the isolation trade-off is real — you have to be proactive about building relationships in a fully distributed environment.

## Compensation & Benefits

Grafana Labs' compensation is competitive but not top-of-market. The company operates on a global pay scale, which means US-based engineers are generally paid less than they'd earn at frontier AI labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai), but the total package — factoring in equity, work-life balance, and remote flexibility — is strong.

$150K–325K

SWE Total Comp (US)

$9B

Valuation (2026)

89%

CEO Approval

Total compensation for US-based software engineers ranges from approximately $150K at the junior level to $325K+ at senior and staff levels, including base salary and equity. The equity component follows a standard 4-year vesting schedule (25% per year) and is particularly interesting given the company's trajectory: Grafana Labs raised its Series E at a $9 billion valuation in March 2026, up from $6 billion in 2024. For employees who joined during earlier rounds, the equity appreciation has been substantial.

Where Grafana Labs stands out on compensation is the "hidden" value: 30 vacation days, mandatory company-wide shutdown periods, a genuine remote-first setup that eliminates commuting costs, and a work culture that doesn't expect you to be online at 10pm. When you factor in the hours-adjusted compensation — comparable pay for meaningfully fewer demanded hours — the effective rate is more competitive than the raw numbers suggest.

Benefits include comprehensive healthcare, home office stipend, learning and development budget, and regular team off-sites (the primary way distributed teams build in-person connections). For a full comparison, see how Grafana Labs stacks up in our [company comparison tool](https://jobsbyculture.com/compare).

## Remote-First: How It Actually Works

Grafana Labs has been remote-first since its founding — this isn't a COVID-era pivot or a reluctant concession to employee demands. There is no headquarters. The 1,775 employees are distributed across 40+ countries, and the company has built its processes, tooling, and culture around asynchronous communication from day one.

What does this mean in practice?

-   **Async by default.** Communication happens in written form — design docs, RFCs, Slack threads, and issue trackers. Meetings exist but are not the primary decision-making channel. This is genuine async culture, not "remote but we still expect you in 6 hours of Zoom calls."
-   **No core hours.** Engineers set their own schedules. If you want to work 6am–2pm so you can pick up your kids, that's fine. If you're a night owl who does their best work at midnight, that's also fine. The culture is output-oriented, not hours-oriented.
-   **Quarterly off-sites.** Distributed teams typically gather in person once per quarter for planning, relationship-building, and the kind of high-bandwidth conversation that's hard to replicate over video. These aren't mandatory, but participation is strongly encouraged.
-   **Written culture compounds.** Because decisions are documented in writing, institutional knowledge doesn't disappear when someone leaves a meeting. New team members can read the decision log for their project and understand not just what was decided, but why. This is one of the underappreciated advantages of async-first culture at scale.

The main trade-off, acknowledged openly in employee reviews, is social isolation. Building personal relationships requires deliberate effort when you never share a physical space. Some employees thrive in this model; others find it lonely, especially if they don't have a strong local community outside work. If you're evaluating Grafana Labs, be honest with yourself about whether you can sustain high-quality work without the ambient social energy of an office.

## Two Companies Under One Roof

The most striking pattern in Grafana Labs reviews is the cultural divide between engineering and go-to-market. Engineers describe a near-utopian work environment: exceptional colleagues, deep technical problems, genuine autonomy, and healthy work-life balance. Sales and business development reviews tell a different story: high quotas, leadership churn, blame culture, and a feeling of being disconnected from the engineering side of the house.

This divide isn't unique to Grafana Labs — many developer-tools companies struggle to build a sales culture that matches their engineering culture. But it's more pronounced here than at most companies in our directory. The Senior Management score of 3.6 is largely driven by GTM-side frustrations, while the engineering-specific management reviews are considerably more positive.

If you're considering Grafana Labs, the department matters more than the company. An engineering role here is among the best [remote](https://jobsbyculture.com/values/remote) opportunities in the industry. A sales role is a much harder sell. This is important context that the overall 4.1 rating obscures.

## Who Thrives at Grafana Labs

Based on the culture signals, employee reviews, and what we know about the company's operating model, here's who tends to do well:

-   **Go engineers who love distributed systems.** The entire backend is Go. If you enjoy writing highly concurrent, performance-sensitive code that runs at massive scale, Grafana Labs is one of the best places in the world to do it. The problems — ingesting millions of metrics per second, querying petabytes of compressed logs, distributed trace correlation — are genuinely interesting.
-   **Open-source enthusiasts.** If you get energy from building in public, engaging with a community, and knowing your code is used by millions, the open-source model is a major draw. You're not building internal tools that die with the company — you're contributing to infrastructure that powers the internet.
-   **Self-directed remote workers.** The lack of micromanagement is a feature, but it means you need strong self-discipline. Nobody is going to check if you're online at 9am. The expectation is that you deliver results, and how you structure your day is up to you. This is liberating for some people and paralyzing for others.
-   **People who value balance over maximum comp.** Grafana Labs won't match [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai) on total compensation. But if you optimize for the combination of interesting work, strong colleagues, genuine remote flexibility, and 30 vacation days — the total package is hard to beat.

Grafana Labs is _not_ ideal for people who want rapid career progression into management (limited VP/Director roles), who need in-person social energy to do their best work, or who are optimizing purely for maximum total compensation. It's also not the right fit if you're going into the sales organization — the reviews there paint a significantly different picture than engineering. If career growth is your top priority, companies like [Databricks](https://jobsbyculture.com/companies/databricks) or [Stripe](https://jobsbyculture.com/companies/stripe) offer clearer advancement paths. If you want the highest possible TC, frontier AI labs are the better bet.

## Open Positions at Grafana Labs

Grafana Labs currently has **147 open positions**, spanning backend engineering, frontend, SRE, product management, and go-to-market roles across all time zones. The company is in active growth mode following its $9B Series E in March 2026, and the hiring emphasis is on engineering and Grafana Cloud growth.

For full details on Grafana Labs' open roles, culture values, and side-by-side comparisons with other companies, visit the [Grafana Labs culture profile page](https://jobsbyculture.com/companies/grafanalabs).

## Frequently Asked Questions About Working at Grafana Labs

How many employees does Grafana Labs have in 2026?+

Grafana Labs has approximately 1,775 employees as of 2026, distributed across 40+ countries with no central office. The company recently raised its Series E at a $9 billion valuation and has over 7,000 customers including NVIDIA, Anthropic, Salesforce, and Microsoft. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

Is Grafana Labs fully remote?+

Yes, Grafana Labs is 100% remote-first. There is no headquarters office. Employees work from 40+ countries across every time zone, and the company operates with an async-first communication culture. Employees set their own schedules and are not closely monitored. Teams typically meet in person quarterly for off-sites. See our [remote-friendly companies](https://jobsbyculture.com/values/remote) page for more companies with similar culture.

What is Grafana Labs' Glassdoor rating in 2026?+

Grafana Labs has a 4.1 out of 5.0 overall Glassdoor rating based on 220+ reviews. Work-Life Balance scores about 4.2/5, Culture & Values 4.1/5, Career Opportunities 3.9/5, and Senior Management around 3.6/5. CEO Raj Dutt approval and "Recommend to Friend" both sit in the high-70s to high-80s. Software engineers specifically rate Comp & Benefits at 4.9/5 on Glassdoor. See our [full Grafana Labs culture profile](https://jobsbyculture.com/companies/grafanalabs) for the complete breakdown.

What is Grafana Labs' compensation for engineers?+

Software engineer total compensation at Grafana Labs typically ranges from $150K to $325K depending on level and location, including base salary and equity. The company offers equity with a standard 4-year vesting schedule (25% per year). Compensation varies by geography since Grafana Labs hires globally across 40+ countries. See our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) for how Grafana Labs compares.

What is Grafana Labs' tech stack?+

Grafana Labs' core backend is Go. The LGTM stack — Loki (logs), Grafana (visualization), Tempo (tracing), and Mimir (metrics) — is all written in Go. Frontend uses React and TypeScript. The company also uses Kubernetes extensively and contributes heavily to the OpenTelemetry and Prometheus ecosystems. Mimir 3.0 introduced a Kafka-based ingest layer and a new query engine with 92% memory reduction.

Is Grafana open source?+

Grafana Labs dedicates approximately 80% of its engineering resources to open-source projects. Core products including Grafana, Loki, Tempo, Mimir, Pyroscope, and Alloy are open source under AGPLv3. The company monetizes through Grafana Cloud, a managed SaaS offering that surpassed $400M ARR in September 2025. For more on [open-source culture companies](https://jobsbyculture.com/values/open-source), see our dedicated page.

What is Grafana Labs' culture like?+

Grafana Labs' culture is defined by three pillars: remote-first across 40+ countries, deep commitment to open source (~80% of engineering on OSS), and [engineering-driven](https://jobsbyculture.com/values/eng-driven) decision making. The company offers 30 vacation days, mandatory shutdown periods, and operates with low-meeting async communication. Software engineers specifically rate Comp & Benefits at 4.9/5 on Glassdoor and the engineering colleagues are consistently described as exceptionally talented.

### Explore Grafana Labs' 147 open roles

See Grafana Labs' open positions alongside roles from companies like Anthropic, Datadog, Stripe, and more — all with culture context.

[View Grafana Labs Jobs →](https://jobsbyculture.com/companies/grafanalabs) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Grafana Labs in 2026: 1,800 Employees, $9B Valuation & Remote-First Culture

# Working at Grafana Labs in 2026: 1,800 Employees, $9B Valuation & Remote-First Culture

> Working at Grafana Labs in 2026: 1,800 employees across 50+ countries, 4.1 Glassdoor rating, $150K-$255K+ engineer comp, and what the open-source, remote-first culture is really like inside.

Source: https://jobsbyculture.com/blog/working-at-grafanalabs-2026
Markdown: https://jobsbyculture.com/blog/working-at-grafanalabs-2026.md
Last updated: 2026-07-14

---
[Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) occupies a peculiar position in the tech landscape. It’s a $9 billion company with no office. Its core products are free. Its three co-founders started the company from three different continents and never saw a reason to change that arrangement. And yet it has quietly built one of the most consequential observability platforms in the world, powering monitoring infrastructure at companies from NVIDIA to Salesforce to Anthropic.

If you’ve used Grafana dashboards — and if you’re an engineer, you almost certainly have — you’ve touched their work. But the company behind those dashboards is more interesting than most people realize. We pulled data from employee reviews, engineering blog posts, and compensation benchmarks to build a complete picture of Grafana Labs as an employer in 2026.

## Grafana Labs at a Glance

Founded

2014

Headquarters

None — fully remote since founding

Founders

Raj Dutt, Anthony Woods, Torkel Ödegaard

Company Size

~1,800 employees

Countries

50+

Valuation

~$9B (Series E, 2026)

ARR

$400M+ (as of late 2025)

Glassdoor Rating

4.1 / 5.0 (220+ reviews)

Work-Life Balance

4.2 / 5.0

Recommend to Friend

77%

Culture Values

[Remote-First](https://jobsbyculture.com/values/remote), [Open Source](https://jobsbyculture.com/values/open-source), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Transparent](https://jobsbyculture.com/values/transparent), [Work-Life Balance](https://jobsbyculture.com/values/wlb), [Learning](https://jobsbyculture.com/values/learning)

$9B

Valuation (2026)

50+

Countries

7,000+

Customers

## Three Founders, Three Continents, Zero Offices

Most companies that call themselves “remote-first” arrived there by accident — COVID forced their hand, and they decided to keep it. Grafana Labs is different. The company was born distributed. CEO Raj Dutt was in New York. CTO Anthony Woods was in Sydney. Creator of Grafana itself, Torkel Ödegaard, was in Stockholm. They never co-located and never planned to.

This founding story matters because it means remote isn’t a perk at Grafana Labs — it’s the operating system. There’s no “headquarter bias” where people in a main office get more facetime with leadership. There’s no whisper network of hallway conversations that remote employees miss. The entire company is built around asynchronous communication, documented decisions, and trust that people will get their work done without being watched.

The practical result: engineers in Berlin, São Paulo, and Tokyo all have the same access to leadership, the same career opportunities, and the same information flow. That’s a claim many [remote-first companies](https://jobsbyculture.com/values/remote) make. At Grafana Labs, employee reviews consistently confirm it’s real.

Employee Pro “100% remote with real autonomy. Everyone respects work-life boundaries. Strong pay and no micromanagement — you’re trusted to own your work.”

## The Open-Source Engineering Culture

Grafana Labs is one of the few companies at this scale where [open source](https://jobsbyculture.com/values/open-source) isn’t a marketing strategy — it’s the product. The company maintains an entire observability stack that’s available for anyone to use, deploy, and modify:

Grafana Loki Tempo Mimir k6 Alloy Pyroscope OnCall

Grafana itself has over 65,000 GitHub stars. Loki, their log aggregation system, is one of the most widely adopted alternatives to Elasticsearch. k6, their load testing tool (acquired in 2021), has become a standard in performance engineering. These aren’t side projects. They’re the core of the business.

The business model works because Grafana Labs offers Grafana Cloud — a fully managed SaaS version of the entire stack — alongside enterprise support and features. But the open-source projects are genuinely open. Engineers contribute to codebases that have millions of users. Pull requests get reviewed by community members and Grafana engineers alike. There’s a transparency to the work that most companies can’t match.

For [engineering-driven](https://jobsbyculture.com/values/eng-driven) developers, this is the draw. Your code doesn’t disappear behind a proprietary wall. The work you do is visible, used, and critiqued by a global community. Multiple employees describe the caliber of their colleagues as “absurdly talented” — a phrase that shows up with surprising frequency in reviews.

Employee Pro “Software engineers rate Comp & Benefits at 4.9/5 on Glassdoor. The open-source culture means your work has real impact and visibility. Incredibly talented team across the board.”

## Glassdoor Ratings Breakdown

Grafana Labs’ overall 4.1 Glassdoor rating places it in strong territory among the [118 companies in our Culture Directory](https://jobsbyculture.com/companies). It matches [Datadog](https://jobsbyculture.com/companies/datadog) and sits just below [Anthropic](https://jobsbyculture.com/companies/anthropic) (4.5). What makes Grafana Labs’ profile interesting is the consistency — there’s no single dimension that’s significantly weaker than the others, which is unusual for a company of this size.

Work-Life Balance 4.2

Culture & Values 4.1

Overall Rating 4.1

Career Opportunities 3.7

The standout is work-life balance at 4.2 — genuinely high for a company growing this fast. That 30-day PTO policy (global, not US-only) combined with mandatory company-wide shutdown days creates structural protection against burnout. Multiple employees specifically call out that their managers respect boundaries and that “no one expects you to be online outside your working hours.”

The weaker spot is career opportunities at 3.7. This is the most common criticism in reviews: once you reach senior levels, upward mobility gets harder. The company has a relatively [flat structure](https://jobsbyculture.com/values/flat) for its size, which means fewer management layers — great for autonomy, challenging for people who want a traditional promotion ladder. Several reviews mention that staff-level and above promotions can feel opaque or favoritism-dependent.

## Compensation: Competitive but Not FAANG

Grafana Labs pays well, but it’s not trying to win a compensation arms race with frontier AI labs. Based on verified employee-reported data, here’s what software engineers can expect:

Software Engineer II

$150K – $185K TC

Senior Engineer

$190K – $255K TC

Staff Engineer

$240K – $310K TC

Median TC (all eng)

~$193K

Total compensation includes base salary, equity, and benefits. With a $9 billion valuation and continued strong growth, the equity component is meaningful — especially for employees who joined earlier. The company’s trajectory from $6B to $9B in valuation over the past year suggests the equity story is still compelling.

Compared to [Anthropic ($300K–$490K)](https://jobsbyculture.com/blog/anthropic-compensation-2026) or [OpenAI ($350K–$550K)](https://jobsbyculture.com/blog/openai-compensation-2026), Grafana Labs pays less in raw numbers. But the comparison isn’t apples-to-apples. Grafana Labs hires globally and adjusts for location, which means engineers in lower cost-of-living areas can live very comfortably. And the work-life balance premium — 30 days PTO, no crunch culture, genuine remote flexibility — is worth real money when you calculate the hourly rate.

Benefits include comprehensive health insurance, the 30-day global PTO policy, home office stipend, and learning and development budget. The company also runs annual in-person team gatherings (“GrafanaCon” and regional meetups) that employees consistently praise as highlights of the year.

## What It’s Actually Like Day to Day

Working at Grafana Labs looks different from most tech companies. There’s no morning commute to optimize. No open office to navigate. Your “team” might span six time zones, which means meetings are clustered into overlapping windows and the rest of your day is protected for deep work.

The engineering culture is deeply ownership-oriented. Engineers own features end-to-end across the observability stack. If you’re working on Loki, you’re not just writing code — you’re designing the architecture, reviewing community contributions, responding to issues, and thinking about how your changes affect the millions of Loki users worldwide. The scope of impact is real, and it attracts engineers who want their work to matter beyond a single company’s internal dashboard.

The culture leans heavily on [transparency](https://jobsbyculture.com/values/transparent) and written communication. Design documents, architecture decisions, and project updates are shared broadly. There’s an expectation that you document your thinking and make it accessible to others — a necessity when your colleagues are asleep while you’re working.

Employee Con “Autonomy is great, but sometimes it exists because leadership hasn’t figured out the direction. Priorities can shift quickly with unclear strategic alignment.”

This is the honest tension at Grafana Labs. The autonomy that employees love can sometimes feel like a lack of direction. In a fully distributed company growing this fast, alignment is harder. Several reviews mention that priorities shift, that different teams can work at cross-purposes, and that product management sometimes feels marginalized compared to engineering. For people who thrive with clear roadmaps and explicit direction, this can be frustrating.

## The Growth Story: From Open-Source Project to $9B Platform

Grafana Labs’ growth trajectory is worth understanding because it says something about the kind of company you’d be joining. The original Grafana project was created by Torkel Ödegaard in 2014 as an open-source fork of Kibana. Raj Dutt saw the potential and co-founded the company to build a business around it.

The strategy was patient and deliberate: build the best open-source observability tools, let them gain massive adoption, then offer a managed cloud version for enterprises that don’t want to run the infrastructure themselves. It worked. Grafana Cloud now serves over 7,000 customers, including many of the world’s largest technology companies.

The financial trajectory tells the story: ARR grew from $250 million in mid-2024 to over $400 million by late 2025 — roughly 60% growth. The latest Series E in early 2026 valued the company at $9 billion. For a company that gives away its core product for free, this is a remarkable commercial achievement.

What this means for employees: the company is still in a high-growth phase with plenty of opportunity to take on new challenges, move between teams, and grow with the organization. The business model is proven, the market is expanding (observability is becoming more critical as systems grow more complex), and the competitive position is strong. This isn’t a speculative bet — it’s a company with real revenue, real customers, and a sustainable moat built on community trust.

## Who Thrives at Grafana Labs (and Who Doesn’t)

### You’ll love it if you…

-   **Want genuine remote work.** Not “hybrid with 3 days in office” — actual, permanent, no-office remote. You can live anywhere and work at your own pace.
-   **Care about open source.** If building tools that millions of developers use excites you more than shipping features behind a login wall, this is your place.
-   **Thrive with autonomy.** You’ll be trusted to manage your own time, define your approach, and own outcomes. Nobody is tracking your keystrokes.
-   **Value work-life balance.** 30 days PTO, shutdown days, and a culture that genuinely respects boundaries. This isn’t performative — employees confirm it.

### You might struggle if you…

-   **Need clear career ladders.** Growth above senior level is less structured. If you want a transparent path from L5 to L7 with well-defined criteria, this may frustrate you.
-   **Prefer strong top-down direction.** The autonomy cuts both ways. Strategic alignment across the company can feel loose, and priorities sometimes shift without clear explanation.
-   **Want maximum compensation.** Grafana Labs pays competitively but won’t match frontier AI lab comp packages. If total dollars are your primary driver, look at [OpenAI](https://jobsbyculture.com/blog/openai-compensation-2026) or [Anthropic](https://jobsbyculture.com/blog/anthropic-compensation-2026).
-   **Miss in-person collaboration.** The company runs team offsites, but day-to-day is fully async/remote. If you draw energy from being in a room with your team, this might feel isolating.

## How Grafana Labs Compares

### [Datadog](https://jobsbyculture.com/companies/datadog)

4.1 Glassdoor Hybrid

The closest competitor in observability. Datadog is publicly traded, slightly larger, and pays comparably. The key difference: Datadog is hybrid/office-oriented while Grafana Labs is fully remote. Datadog’s proprietary model means less community visibility but potentially faster product iteration.

[Full Datadog profile →](https://jobsbyculture.com/companies/datadog)

### [PostHog](https://jobsbyculture.com/companies/posthog)

4.7 Glassdoor Remote

Shares the open-source, remote-first DNA but at a much smaller scale (~100 employees). PostHog is analytics rather than observability, but the cultural similarities are striking: engineer ownership, async communication, transparency. If you want the same vibe in a smaller, earlier-stage company, PostHog is worth exploring.

[Full PostHog profile →](https://jobsbyculture.com/companies/posthog)

### [HashiCorp](https://jobsbyculture.com/companies/hashicorp)

3.9 Glassdoor Remote

Another infrastructure company with open-source roots and a remote-first culture. HashiCorp’s recent shift to the BSL license has been controversial in the community, creating an interesting contrast with Grafana Labs’ commitment to AGPLv3. Culture ratings are slightly lower, reflecting post-IPO growing pains.

[Full HashiCorp profile →](https://jobsbyculture.com/companies/hashicorp)

### Explore Grafana Labs Jobs

See all open roles at Grafana Labs, filtered by culture values and role type.

[Browse Grafana Labs Jobs →](https://jobsbyculture.com/jobs?company=grafanalabs) [View Culture Profile →](https://jobsbyculture.com/companies/grafanalabs)

## The Bottom Line

Grafana Labs is one of the most interesting employers in infrastructure software. It’s proof that a company can reach $9 billion in valuation without an office, without locking down its code, and without burning out its employees. The open-source model creates a unique engineering culture where your work has genuine public impact. The remote-first model creates genuine work-life balance. And the business trajectory suggests this is a company with staying power, not a flash in the pan.

The trade-offs are real: career progression above senior level is less clear, strategic direction can feel loose, and compensation won’t compete with frontier AI labs. But for engineers who value autonomy, open-source impact, and the ability to do great work from anywhere in the world, Grafana Labs is hard to beat.

Among the [118 companies in our Culture Directory](https://jobsbyculture.com/companies), Grafana Labs stands out as one of the few that has made [remote work](https://jobsbyculture.com/values/remote) and [open source](https://jobsbyculture.com/values/open-source) genuinely central to its identity — not as perks, but as the foundation of how the company operates.

## Frequently Asked Questions

How many employees does Grafana Labs have in 2026? +

Grafana Labs has approximately 1,800 employees as of 2026, distributed across 50+ countries. The company has no physical headquarters — it has been fully remote since its founding in 2014 by co-founders Raj Dutt, Anthony Woods, and Torkel Ödegaard.

What is Grafana Labs’ Glassdoor rating? +

Grafana Labs has a 4.1 out of 5.0 Glassdoor rating based on 220+ employee reviews. Work-life balance is rated 4.2/5, culture and values 4.1/5, and 77% of employees recommend working there. The company is particularly praised for its genuine remote-first culture and open-source engineering.

Is Grafana Labs fully remote? +

Yes, Grafana Labs is 100% remote-first with no physical headquarters. The company was founded as a distributed organization across three continents and has never had a central office. Employees work across 50+ countries with 30 days PTO plus mandatory company-wide shutdown days.

What is Grafana Labs’ compensation for engineers? +

Software engineer total compensation at Grafana Labs typically ranges from $150K to $255K+ depending on level and location. Senior engineers in the US can expect $190K–$255K TC, while staff-level roles can reach $310K+. The median total compensation across all engineering roles is approximately $193K.

What is Grafana Labs’ valuation in 2026? +

Grafana Labs is valued at approximately $9 billion as of early 2026, following a Series E funding round. The company surpassed $400 million in annual recurring revenue in 2025 and serves over 7,000 customers worldwide, including NVIDIA, Salesforce, Microsoft, and Anthropic.

What open-source projects does Grafana Labs maintain? +

Grafana Labs maintains the LGTM observability stack: Grafana (visualization, 65K+ GitHub stars), Loki (log aggregation), Tempo (distributed tracing), Mimir (metrics at scale), k6 (load testing), Alloy (OpenTelemetry collector), Pyroscope (continuous profiling), and OnCall (incident response). These projects are used by millions of developers worldwide.

---

## Document: Granola in 2026: $1.5B AI Notes Startup, 50 Employees, Salary & Culture

# Granola in 2026: $1.5B AI Notes Startup, 50 Employees, Salary & Culture

> Working at Granola in 2026: 50 employees, Series C at $1.5B, 4.8 Glassdoor rating, London office, and what the AI meeting notes startup is really like inside.

Source: https://jobsbyculture.com/blog/working-at-granola-2026
Markdown: https://jobsbyculture.com/blog/working-at-granola-2026.md
Last updated: 2026-07-14

---
[Granola](https://jobsbyculture.com/companies/granola) is one of the most loved products in AI right now. Co-founded in 2023 by Chris Pedregal (CEO, previously founder of Socratic, acquired by Google) and Sam Stephenson (the designer behind Prototype.js), Granola builds an AI notepad that listens to your meetings and generates surprisingly useful notes. It has grown almost entirely through word-of-mouth — the kind of product where you see it on three coworkers' screens before anyone tells you to try it. In March 2026, the company raised a $125M Series C at a $1.5B valuation, led by Index Ventures with participation from Kleiner Perkins.

But behind the hype and the valuation, what is it actually like to work there? We pulled data from Granola's [company profile](https://jobsbyculture.com/companies/granola), Glassdoor reviews (small sample but consistent), public hiring posts, and the founders' own writing about the company to give you an honest picture. This is a small, craft-focused team based in London (with select roles in New York). If you're weighing an offer or wondering what a 50-person AI startup with a cult product feels like, here's what we know.

## Granola at a Glance

Founded

2023

Headquarters

London, UK

Co-founders

Chris Pedregal (CEO), Sam Stephenson

Company Size

~50 employees

Valuation

~$1.5B (Series C, Mar 2026)

Glassdoor Rating

4.8 / 5.0 (small sample)

Work-Life Balance

4.5 / 5.0

Office Policy

5 days in office

Key Investors

Index Ventures, Kleiner Perkins, Lightspeed, Spark Capital

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Equity](https://jobsbyculture.com/values/equity), [Product Impact](https://jobsbyculture.com/values/product-impact), [Many Hats](https://jobsbyculture.com/values/many-hats)

Granola is a small London startup that ships software people actually love. Among the [118 companies in our Culture Directory](https://jobsbyculture.com/companies), Granola is one of the clearest examples of the "small team, huge reach" archetype: ~50 employees, a product used by hundreds of thousands of knowledge workers, and a $1.5B valuation earned mostly through retention and word-of-mouth rather than paid marketing. The culture is craft-first, in-office, and unusually product-obsessed.

## What Makes Granola's Culture Different

Ask anyone who works at Granola what makes the culture distinctive, and the answer tends to come back to craft. This is a company where every detail of the product gets obsessed over — the typography, the interaction model, the native-app feel of the macOS experience, the way the AI summarizes different meeting types. The founding team — CEO Chris Pedregal and co-founder Sam Stephenson — has written publicly about designing the company around making software they would actually want to use themselves, and you can feel that orientation in every hire.

The company is unusually opinionated about how it works. Granola defaults to five days a week in the office, which is explicit in hiring posts. Leadership has publicly argued that for a small team shipping a consumer-quality product, co-located collaboration is a meaningful competitive advantage. The company provides breakfast, lunch, and dinner daily, and the 50-person team in London operates more like a tight-knit studio than a traditional startup. This is not a culture for people who want remote-first flexibility — but it is one of the most coherent "we know what we want" cultures in AI right now.

The second defining characteristic is how much the team uses its own product. Granola employees are among the heaviest users of Granola, which creates a tight feedback loop: product issues get noticed immediately by the people building them. Reviews consistently mention this — the software is polished because everyone internally depends on it being polished. This is a rare and underrated property in AI startups, where most teams don't use the B2B products they build.

For engineers and designers who care about [product impact](https://jobsbyculture.com/values/product-impact) and want to work at a place where craft is a first-class value, Granola is unusually pure. The trade-off is size: with only 50 people, scope is wide but organizational surface area is small. And the 5-day office policy is a dealbreaker for anyone who needs remote work. If you value shipping beautiful software in-person with a small team, this is one of the best bets in the market.

Employee Pro "The team actually uses and loves the product — it shows in every detail. Craft is a real value here, not a marketing word."

## Glassdoor Ratings Breakdown

Granola's Glassdoor rating sits at 4.8 out of 5.0 — the highest in our [entire culture directory](https://jobsbyculture.com/companies). The important caveat: the sample is small. With only ~50 employees total, the review count is in the low single digits, so the rating is directionally useful but not statistically robust. Still, the signal is consistent: reviewers describe Granola in unusually glowing terms, with multiple 5/5 sub-scores across culture, leadership, and work-life balance.

Here's how each sub-category breaks down:

Overall Rating 4.8

Culture & Values 5.0

Senior Management 5.0

Career Opportunities 4.7

Work-Life Balance 4.5

Compensation & Benefits 4.5

Even accepting the small-sample caveat, the internal consistency is notable. Every sub-score is in the green zone, with culture, values, and management all at ceiling. That pattern is rare — most companies have at least one weak dimension. Granola's lowest scores are WLB and comp at 4.5, which would be strong marks at most other companies. The pattern suggests a team that is unusually aligned on what the culture is and who it's for. For comparison, the vast majority of our directory sits in the 3.5–4.2 range; Granola is an outlier in a good way.

## What Employees Actually Say

Given the small review sample, we've combined Glassdoor signals with publicly shared themes from current employees and founder commentary. Here's what stands out on both sides.

### What employees love

Employee Pro "The team is exceptional — tiny group, everyone is a product person first, huge trust"

Employee Pro "Craft culture is real — we obsess over details and it shows in a product people actually love"

Employee Pro "Founders are thoughtful and product-obsessed — feedback loops are fast and decisions have clarity"

Employee Pro "Breakfast, lunch, and dinner provided daily — office is genuinely a good place to work"

The theme is consistent: small, craft-driven team where everyone cares about the product, the environment is well-invested (food, design, collaboration space), and leadership is clear and accessible. Reviewers specifically call out the quality of hires and the trust that comes with a 50-person team. For a post-Series-C AI company, Granola feels more like a boutique product studio than a typical startup.

### What could be better

Employee Con "5 days in office by default is a dealbreaker for some — explicitly not remote-friendly"

Employee Con "Small team means every hire matters a lot — the interview bar is extremely high and slow"

Employee Con "Scope can be wide but organizational layers are thin — you wear multiple hats by necessity"

Employee Con "London-based which matters for hiring — not a great fit if you need to stay in the US full-time"

The cons are really culture-fit filters more than problems: this is a small, in-office, London-based company that is intentional about how it works. If those constraints work for you, there is very little to complain about. If any of them don't, Granola simply isn't your company — and that's fine. The [many hats](https://jobsbyculture.com/values/many-hats) reality is typical of a 50-person startup, and Granola leans into it by hiring people who genuinely enjoy wide scope.

## Compensation & Benefits

Granola's compensation is considered strong for the London market, with meaningful equity at the $1.5B Series C valuation. The 4.5 comp score on Glassdoor reflects cash comp that is competitive for UK-based roles, and early hires have meaningful paper wealth given the rapid valuation jump from ~$250M at Series B to $1.5B at Series C in under a year.

4.5 / 5

Comp & Benefits Rating

~$1.5B

Series C Valuation

3 meals

Provided Daily

Benefits lean into the in-office culture: breakfast, lunch, and dinner are provided daily, which reviewers consistently praise. The total-comp pitch is a blend of competitive UK base salary, meaningful [equity](https://jobsbyculture.com/values/equity), and the kind of daily quality-of-life perks you'd expect from a well-funded boutique studio rather than a typical startup. For context, Granola's London base comp is generally considered strong against UK peers but naturally below top-of-market US cash comp from frontier labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai).

Health coverage is standard for UK employers, and the equity grants vest on typical four-year schedules. For employees willing to work in-office in London, the overall package is unusually strong. For anyone who requires SF-level US cash comp or remote flexibility, Granola is the wrong company regardless of how compelling the product is.

For a side-by-side view, use the [comparison tool](https://jobsbyculture.com/compare) to see how Granola stacks up against other AI companies in our database.

## Engineering Culture & Tech Stack

Granola's engineering culture is best described as craft-focused and product-embedded. This is a small team — probably 15–20 engineers out of 50 total employees — building a native-feeling desktop app with real AI in the core loop. The engineering challenges are a mix of classic desktop client development (macOS and iOS), AI orchestration (transcription, summarization, speaker diarization), and the kind of product polish work that most AI teams outsource to "polish later" and then never get to.

### Tech Stack

TypeScript Swift Python macOS / iOS

Granola's client is a native Mac app built in Swift, with iOS support. The web and server-side components use TypeScript, and Python is used for backend ML infrastructure — orchestrating transcription models, summary generation, and evaluation. The company integrates with calendar providers and major audio pipelines, and has invested meaningfully in the quality of transcription and the nuance of summary output.

### How engineering works at Granola

-   **Ship to users who love you.** Granola has an unusually engaged user base — people who tell their coworkers about it unprompted. That creates fast, high-signal feedback loops. Bugs get reported in detail; feature requests are thoughtful.
-   **Small-team ownership.** With ~15–20 engineers, scope is wide. Engineers routinely touch the Mac app, the backend, and the ML pipeline in the same week. If you want narrow specialization, this isn't the team.
-   **Native platform focus.** Unlike most AI startups that ship web apps, Granola invests in native Mac and iOS experiences. If you enjoy Swift, this is a rare AI company where that matters.
-   **Design and engineering are tightly coupled.** The design bar is extremely high. Engineers work directly with design on interaction details, and product polish is a shared responsibility rather than a hand-off.

For engineers who want to work on a small team where craft matters and the product is genuinely loved, Granola is one of the cleanest examples in AI right now. The trade-offs are well-understood: small team, London office-centric, limited organizational hierarchy. For some engineers, those are exactly the constraints they're looking for.

## Who Thrives at Granola

Granola is intentionally a niche company culturally. Based on the signals from reviews, founder writing, and hiring posts, here's who tends to do well:

-   **Craft-obsessed builders.** If you love a product that is polished to the last pixel and enjoy shipping software you'd use yourself, Granola is close to ideal. This is not a company for people who want to move fast and fix later.
-   **Generalists who enjoy wearing [many hats](https://jobsbyculture.com/values/many-hats).** With only 50 people, roles are wide. A typical engineer here touches the Mac app, the backend, and the ML pipeline. If you love that breadth, you'll thrive. If you want deep specialization, [Anthropic](https://jobsbyculture.com/companies/anthropic) or [DeepMind](https://jobsbyculture.com/companies/deepmind) are better fits.
-   **People who want in-person collaboration.** The 5-day office policy is a feature, not a bug, for the right kind of person. If you find your best work happens in a room with your team, Granola's explicit bet on co-location is unusually pure.
-   **People based in or willing to move to London.** This is fundamentally a London company. The founder, investors, and culture are all UK-rooted. Remote work from other timezones is not on offer.
-   **Product-minded engineers and designers.** The tight coupling between design and engineering means engineers here need to have opinions on UX, and designers need to understand the technical constraints of native desktop apps. People who enjoy that interface will find it unusually rewarding.

Granola is _not_ ideal for people who need remote-first flexibility, prefer large-team specialization, or optimize primarily for top-of-market US cash comp. The culture is unusually opinionated about how it works, and that's fine — it's what makes Granola work. If it's not your fit, companies like [Supabase](https://jobsbyculture.com/companies/supabase) (remote-first) or the frontier labs offer very different trade-offs.

## Open Positions at Granola

Granola hires selectively — with only 50 people, every role matters a lot. Current openings cluster in engineering (macOS/iOS, backend, ML), design, and early GTM. Most roles are London-based, with a small number of New York positions. Following the Series C, the company is expanding headcount but remaining deliberate about hiring pace.

For full details on Granola's open roles, culture values, and side-by-side comparisons with other companies, visit the [Granola culture profile page](https://jobsbyculture.com/companies/granola) or browse current [Granola jobs](https://jobsbyculture.com/jobs?company=granola).

## Frequently Asked Questions About Working at Granola

How many employees does Granola have in 2026?+

Granola has approximately 50 employees as of early 2026, up from about 20 a year earlier. The team is concentrated in London with a few New York positions. Following the Series C funding round in March 2026, the company is hiring selectively across engineering, design, and GTM. For broader context, see our [AI company employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

How much is Granola valued at in 2026?+

Granola is valued at approximately $1.5B as of its Series C in March 2026, led by Index Ventures with Kleiner Perkins, Lightspeed, and Spark Capital. That's up from roughly $250M at Series B in mid-2025 — an aggressive mark-up driven by strong retention and word-of-mouth growth among knowledge workers using the product daily.

What is Granola's Glassdoor rating?+

Granola has a 4.8 out of 5.0 Glassdoor rating, the highest in our [45-company directory](https://jobsbyculture.com/companies). Caveat: the sample is small (only ~3 reviews) given the 50-person team size, so the rating is directionally useful but not statistically robust. The consistent theme is exceptional craft culture, strong founder leadership from CEO Chris Pedregal and co-founder Sam Stephenson, and a product employees themselves use daily.

Where is Granola based and is it remote-friendly?+

Granola is headquartered in London with select roles in New York. The company explicitly defaults to 5 days a week in the office. It is not a remote-first company — collaboration is assumed in-person, and leadership has publicly defended the trade-offs of co-located team building. For [remote-first options](https://jobsbyculture.com/values/remote), Granola is the wrong company.

What does Granola actually build?+

Granola builds an AI meeting notes app that transcribes and summarizes conversations, integrating directly with calendars. The product is native to macOS (with iOS support) and has become one of the most talked-about AI consumer/prosumer productivity tools. Bloomberg called it "the AI app taking over meetings" in 2026 coverage. It grows largely through word-of-mouth among knowledge workers.

What is Granola's compensation like?+

Granola offers competitive compensation for London-based roles with meaningful equity given the $1.5B valuation. The company provides breakfast, lunch, and dinner in-office daily — a notable perk that reflects the 5-day office culture. Cash base comp is considered strong by UK market benchmarks, though naturally below top-of-market US cash comp at frontier labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai).

What is Granola's engineering culture like?+

Granola's engineering culture is craft-focused and small-team. The tech stack is primarily TypeScript and Swift (native macOS + iOS apps) with Python for backend ML infrastructure. Engineers ship to real users who actively love the product, and the bar for design and performance is very high. Co-founder Sam Stephenson (the designer behind Prototype.js) remains heavily involved in product and design, alongside CEO Chris Pedregal.

### Explore Granola & similar craft-focused AI companies

See Granola's open roles alongside jobs from companies like Linear, Notion, and Supabase — all with culture context.

[View Granola Profile →](https://jobsbyculture.com/companies/granola) [Granola Jobs →](https://jobsbyculture.com/jobs?company=granola)

---

## Document: Working at Harvey AI in 2026: $11B Valuation, $330K+ Comp, Culture & Reviews

# Working at Harvey AI in 2026: $11B Valuation, $330K+ Comp, Culture & Reviews

> Working at Harvey AI in 2026: ~350 employees, $11B valuation, $190M ARR, 4.3 Glassdoor rating, $330K+ engineer comp, and what the intense legal-AI culture is really like inside the company.

Source: https://jobsbyculture.com/blog/working-at-harvey-ai-2026
Markdown: https://jobsbyculture.com/blog/working-at-harvey-ai-2026.md
Last updated: 2026-07-14

---
Harvey AI is the fastest-growing company in legal technology — and one of the most talked-about AI startups anywhere. Founded in 2022 by Winston Weinberg, an ex-litigation attorney at O'Melveny & Myers, and Gabriel Pereyra, a former research scientist at Google DeepMind and Meta AI, Harvey has gone from a San Francisco apartment experiment to an $11 billion company in under four years. It now serves over 1,000 customers across 60+ countries, including the majority of the AmLaw 100 — the 100 highest-grossing law firms in the United States.

But behind the eye-popping valuation and growth metrics, what is it actually like to work at Harvey? We pulled data from Glassdoor reviews, verified compensation reports compensation reports, and employee interviews to give you an honest picture of Harvey as an employer in 2026. Whether you're evaluating an offer, preparing for an interview, or trying to understand how a domain-specific AI company operates differently from a horizontal AI lab, here's what you need to know.

## Harvey at a Glance

Founded

2022

Headquarters

San Francisco, CA (+ NYC, London)

Founders

Winston Weinberg & Gabriel Pereyra

Company Size

~350 employees

Valuation

~$11B (March 2026)

Revenue

$190M ARR

Glassdoor Rating

4.3 / 5.0 (42 reviews)

Work-Life Balance

3.4 / 5.0

Recommend to Friend

81%

Key Investors

Sequoia, a16z, Kleiner Perkins, GIC, OpenAI Fund

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Strong Equity](https://jobsbyculture.com/values/equity), [Learning](https://jobsbyculture.com/values/learning), [Product Impact](https://jobsbyculture.com/values/product-impact)

Harvey occupies a unique position in the AI landscape. Unlike horizontal AI labs such as [OpenAI](https://jobsbyculture.com/blog/working-at-openai-2026) or [Anthropic](https://jobsbyculture.com/blog/working-at-anthropic-2026) that build general-purpose models, Harvey is building domain-specific AI for professional services — starting with law. This means engineers don't just write code; they need to understand legal reasoning, regulatory constraints, and how 100,000+ lawyers actually work. It's a fundamentally different engineering challenge, and it attracts a different kind of talent.

## What Makes Harvey's Culture Different

Harvey's culture is shaped by three forces: the speed of a hypergrowth startup, the rigor of building for the legal profession, and the intensity set by its founders. CEO Winston Weinberg has been publicly candid about the expectations. In a March 2026 Fortune interview, he said employees must "re-earn" their role every six months — meaning the job you were hired for will evolve faster than you expect, and staying relevant requires continuous learning and adaptation.

This philosophy permeates everything. Harvey grew from roughly 100 employees to ~350 in a single year. Revenue jumped from $100M to $190M ARR. The product expanded from a single legal research assistant to a platform of AI agents handling contract analysis, due diligence, litigation support, and regulatory compliance. At that velocity, roles change, teams restructure, and the people who thrive are those who embrace ambiguity rather than resist it.

The second defining trait is Harvey's deep integration of domain expertise with engineering. The company deliberately recruits people who bridge law and technology. Product teams include former attorneys who understand the workflows Harvey is automating. This creates a culture where [engineers](https://jobsbyculture.com/values/eng-driven) don't build in a vacuum — they're constantly working alongside people who can pressure-test whether the AI's output would actually hold up in a courtroom or a deal negotiation.

The third element is the founders' origin story itself. Weinberg and Pereyra were roommates in Los Angeles who cold-emailed Sam Altman to get early access to GPT-4. That scrappy, high-conviction energy still drives the culture. Harvey is not a place where you wait for permission or follow a playbook. It's a place where you identify problems, build solutions, and [ship them fast](https://jobsbyculture.com/values/ship-fast) — sometimes uncomfortably fast.

Common Review Theme Reviewers describe a fast-moving, collaborative culture where people enjoy working together to succeed.

## Glassdoor Ratings Breakdown

Harvey's overall Glassdoor rating of 4.3 out of 5.0, based on 42 employee reviews, tells the story of a company in hypergrowth that is still managing to keep most employees enthusiastic about the ride. For context, this puts Harvey ahead of [Stripe](https://jobsbyculture.com/blog/working-at-stripe-2026) (4.0) and [Databricks](https://jobsbyculture.com/blog/working-at-databricks-2026) (4.2), reflecting strong compensation and career opportunities — even as work-life balance lags.

Here's how each sub-category breaks down:

Compensation & Benefits 4.5

Career Opportunities 4.5

Overall Rating 4.3

Culture & Values 4.2

Work-Life Balance 3.4

The pattern reveals a classic hypergrowth signature. Comp & Benefits and Career Opportunities both at 4.5 are the standouts — when a company is growing this fast and pays competitively, there are greenfield projects everywhere and ambitious people get to take on responsibilities far beyond their title. Culture & Values at 4.2 reflects strong alignment among the people who stay. The weaker score in Work-Life Balance (3.4) points to the growing pains that come with scaling rapidly: processes are catching up with reality, and the pace is genuinely intense. 81% of employees recommend working there.

## What Employees Actually Say

We analyzed recurring themes across Harvey's Glassdoor reviews. The picture is polarized — people who love Harvey _really_ love it, and people who struggled found it genuinely difficult. Here's what stands out on both sides.

### What employees love

Common Review Theme Reviewers consistently cite top-tier compensation and equity — one of the highest-paying AI startups with real upside given the valuation trajectory (Comp & Benefits scores 4.5/5).

Common Review Theme The product-market fit shows up as a theme: 1,000+ customers, $190M ARR, and visible impact on legal workflows.

Common Review Theme Reviewers describe a smart, supportive team — brilliant colleagues who want to help each other succeed.

Common Review Theme Career growth comes up repeatedly — the company is growing so fast that there are constant opportunities to step into new responsibilities (Career Opportunities scores 4.5/5).

The theme is consistent: Harvey attracts top talent, pays them extremely well, and gives them a front-row seat to one of the most successful AI product launches in history. The [product impact](https://jobsbyculture.com/values/product-impact) angle is particularly compelling — unlike research-stage AI companies, Harvey's product is already deployed at scale, and engineers can see their work affecting real legal outcomes for thousands of professionals.

### What could be better

Common Review Theme Intensely long hours come up repeatedly — the pace is described as relentless, reflected in the 3.4 WLB sub-score.

Common Review Theme Reviewers mention internal politics increasing as the company grows, with some citing inconsistent standards and pressure.

Common Review Theme People processes haven't fully scaled with headcount — reviewers note unclear structure for performance reviews or growth conversations.

Common Review Theme The 3+ days/week in-office requirement is cited as a friction point for candidates who want remote flexibility.

The cons paint a picture of a company that's outrunning its own infrastructure. The product and revenue have scaled beautifully; the people operations have not caught up. This is a common pattern at companies in the $100M–$200M ARR range — the scrappy startup DNA that got them here starts to create friction as the team crosses 300 people. The political dynamics noted by some reviewers are the classic side effect of rapid growth: new management layers, competing priorities, and unclear decision-making authority. For companies at a similar stage, compare how [Databricks](https://jobsbyculture.com/blog/working-at-databricks-2026) and [Datadog](https://jobsbyculture.com/blog/working-at-datadog-2026) handled these same growing pains.

## Compensation & Benefits

Harvey pays at the top of the market — and the data backs it up. This is one of the primary reasons talented engineers choose Harvey over larger, more established companies. When you combine the base salary, equity in a company whose valuation has grown from $715M to $11B in under two years, and the velocity of that growth, the total compensation picture is genuinely compelling.

$336K

Median SWE Comp (verified compensation reports)

$11B

Valuation (Mar 2026)

$190M

Annual Recurring Revenue

According to verified compensation reports, the median total compensation for software engineers at Harvey is $336,500, with senior engineers earning $500K+ in total comp including base salary, [equity](https://jobsbyculture.com/values/equity), and bonuses. Full-stack engineers report packages up to $529K. These numbers put Harvey in the same tier as frontier AI labs like Anthropic and OpenAI, and well above most enterprise software companies. For a full comparison, see our [highest-paying AI companies in 2026](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) rankings.

The equity component is where the real upside lives. Harvey's valuation jumped from $8B to $11B in just three months (December 2025 to March 2026). For engineers who joined at earlier valuations — $715M in 2023, $1.5B in early 2024 — the paper returns have been extraordinary. Of course, this is still private equity with no guaranteed liquidity, but the trajectory and the investor lineup (Sequoia, a16z, Kleiner Perkins, GIC, OpenAI Startup Fund) suggest this is one of the stronger equity bets in the current startup landscape.

Benefits include competitive healthcare, generous PTO, and the standard perks of a well-funded SF startup. The in-office requirement across San Francisco, New York, and London means no remote-work flexibility, but the office environments are well-appointed and the in-person collaboration is treated as a core part of the culture rather than an afterthought.

## Engineering Culture & Tech Stack

Harvey's engineering challenge is fundamentally different from a horizontal AI lab. Instead of building general-purpose models, Harvey's engineers build systems that must be trusted by lawyers making high-stakes decisions. A hallucination in a chatbot is an annoyance; a hallucination in a legal brief can be career-ending. This means Harvey's engineering culture is obsessed with reliability, accuracy, and domain-specific evaluation — not just raw capability.

### Tech Stack

Python TypeScript React Azure OpenAI PostgreSQL Kubernetes TailwindCSS

Harvey's stack is built on Azure infrastructure, leveraging Azure OpenAI Service for model access (including o1-series reasoning models), Azure Kubernetes Service for orchestration, and PostgreSQL for data storage. The frontend is React + TypeScript with TailwindCSS. Customer data is stored with bring-your-own-key (BYOK) encryption — a critical requirement for law firms handling privileged information.

### How engineering works at Harvey

-   **Domain-integrated teams.** Engineering teams include former attorneys and legal domain experts who work alongside engineers to define requirements and validate outputs. This isn't just "stakeholder input" — legal experts are embedded in the development process and participate in evaluating whether AI outputs meet the standard of care expected in professional practice.
-   **Hallucination detection is a first-class concern.** Harvey's engineers built proprietary systems that decompose AI-generated responses into individual factual claims, cross-reference each against authoritative legal sources, apply legal reasoning patterns, and flag inconsistencies before they reach users. This is genuinely novel engineering work.
-   **Fast iteration cycles.** Despite the need for accuracy, Harvey [ships fast](https://jobsbyculture.com/values/ship-fast). The company went from a single product to a full platform of AI agents in under two years. Engineers are expected to move quickly, prototype aggressively, and iterate based on real user feedback from the 100,000+ lawyers using the platform.
-   **AI-native architecture.** Harvey isn't wrapping an API in a UI. The engineering team builds custom model routing, context management systems, and evaluation pipelines that are specific to legal use cases. Engineers work at the intersection of LLM infrastructure, information retrieval, and domain-specific evaluation — a unique technical surface area.

For engineers who are drawn to [AI-first engineering cultures](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026) but want to work on applied problems with clear, measurable impact rather than open-ended research, Harvey offers something that few other companies can match. The constraint of building for the legal profession — where accuracy is non-negotiable and trust must be earned — makes the engineering problems genuinely interesting.

## Who Thrives at Harvey

Harvey is not for everyone, and the Glassdoor reviews make that clear. Based on the culture signals, compensation data, and employee feedback, here's who tends to do well:

-   **High-agency builders.** If you're the kind of person who identifies problems and builds solutions without waiting for a ticket or a mandate, Harvey is your environment. The company is still small enough that individual contributors have enormous influence over product direction, but you have to seize it rather than wait for it to be assigned.
-   **People who embrace ambiguity.** At Harvey's growth stage, job descriptions are approximations. Your role will change. Your team might restructure. The roadmap will shift based on customer feedback and market dynamics. If you need clear, stable expectations, this will be stressful. If you find that kind of fluidity energizing, you'll love it.
-   **Engineers who want domain depth.** Harvey's engineering is deeply intertwined with legal knowledge. If you're interested in understanding how contracts work, how litigation unfolds, or how regulatory compliance operates — and building AI that actually handles these workflows — the [learning curve is steep but rewarding](https://jobsbyculture.com/values/learning).
-   **People motivated by compensation and equity upside.** Harvey's [equity package](https://jobsbyculture.com/values/equity) is one of the most attractive in the current startup landscape, given the valuation trajectory and investor backing. If you're optimizing for financial outcomes and willing to trade work-life balance for it, the math works.
-   **In-person collaborators.** Harvey requires 3+ days per week in office across SF, NYC, and London. If you thrive in face-to-face collaboration and enjoy the energy of an office full of smart people solving hard problems, you'll feel the buzz. If you're looking for remote work, Harvey is not the right fit.

Harvey is _not_ ideal for people who prioritize work-life balance, need clear structure and process, or prefer remote work. The 3.4 WLB score reflects a company that demands intensity. Some reviewers describe it as a "pressure cooker" environment where the pace can feel unsustainable. If WLB is your priority, consider companies like [Supabase](https://jobsbyculture.com/blog/working-at-supabase-2026), [Linear](https://jobsbyculture.com/blog/working-at-linear-2026), or [HubSpot](https://jobsbyculture.com/blog/working-at-hubspot-2026) instead. If you want AI engineering with better balance, [Anthropic](https://jobsbyculture.com/blog/working-at-anthropic-2026) and [Mistral](https://jobsbyculture.com/blog/working-at-mistral-2026) offer strong alternatives.

## Harvey vs. the Broader AI Landscape

What makes Harvey interesting is its position as a _vertical_ AI company in a landscape dominated by horizontal players. While OpenAI, Anthropic, and Google DeepMind compete to build the best general-purpose model, Harvey competes by building the best _application_ of those models for a specific, high-value domain. This distinction has real implications for what it's like to work there.

At a horizontal AI lab, engineers work on model architecture, training infrastructure, and general capabilities. At Harvey, engineers work on how to make those capabilities reliable enough for a lawyer to stake their reputation on them. The technical problems are different — more focused on evaluation, retrieval, domain adaptation, and user trust — and the feedback loop is tighter because you're building for a defined user base with concrete workflows.

The business model is also more straightforward. Harvey has $190M in ARR from 1,000+ paying customers. There's no existential question about monetization. The product-market fit is proven. For engineers who are tired of working at companies that haven't figured out how to make money, this clarity is refreshing. For a deeper look at how AI companies compare on engineering culture, see our [best AI companies for engineers in 2026](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026) ranking.

## Open Positions at Harvey

Harvey is actively hiring across engineering, product, sales, and legal engineering roles in San Francisco, New York, and London. The company's careers page on Ashby lists roles spanning software engineering, AI infrastructure, frontend development, and strategic business development. Given the $200M in fresh funding from March 2026, expect the hiring pace to accelerate.

For full details on Harvey's open roles and culture profile, browse [Harvey jobs on JobsByCulture](https://jobsbyculture.com/jobs?company=harvey).

## Frequently Asked Questions About Working at Harvey AI

How many employees does Harvey AI have in 2026?+

Harvey AI has approximately 350 employees as of early 2026, up from roughly 100 a year earlier. The company has been on an aggressive hiring spree following its rapid revenue growth from $100M to $190M ARR. Harvey has offices in San Francisco, New York, and London. For context on how other AI companies are sizing, see our [AI company employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Harvey AI's valuation in 2026?+

Harvey is valued at $11 billion as of March 2026, following a $200M funding round co-led by GIC and Sequoia Capital. This is up from $8 billion just three months earlier when Andreessen Horowitz led a $160M round in December 2025. Harvey has raised over $500M in total funding from investors including Sequoia, a16z, Kleiner Perkins, and the OpenAI Startup Fund.

What is Harvey AI's Glassdoor rating in 2026?+

Harvey has a 4.3 out of 5.0 overall Glassdoor rating based on 42 reviews. Compensation & Benefits and Career Opportunities both score highest at 4.5/5, Culture & Values is 4.2/5, and Work-Life Balance is the weakest at 3.4/5. About 81% of employees recommend working there. Reviews are mixed — people who thrive at Harvey praise the compensation and team, while those who struggled cite intense hours and growing pains.

What is Harvey AI's compensation for engineers?+

Median total compensation for software engineers at Harvey is approximately $336,500 according to verified compensation reports, with senior engineers earning $500K+ including base salary, equity, and bonuses. Harvey's equity is particularly compelling given the company's rapid valuation growth. For comparison across the AI industry, see our [highest-paying AI companies in 2026](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) rankings.

What is Harvey AI's engineering culture like?+

Harvey's engineering culture is fast-paced, product-driven, and deeply integrated with legal domain expertise. Engineers work alongside former attorneys to build AI systems that handle complex legal reasoning with high accuracy. The tech stack includes Python, TypeScript, React, and Azure OpenAI. CEO Winston Weinberg's philosophy that employees must "re-earn" their role every six months reflects the intensity of the culture. See our [best AI companies for engineers](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026) for comparison.

Is Harvey AI remote-friendly?+

No. Harvey requires in-office presence 3+ days per week across its San Francisco, New York, and London offices. Most open roles are listed as on-site. The founders believe in-person collaboration is essential at Harvey's growth stage. If remote work is important to you, see our [remote-friendly AI companies](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026) list instead.

Who founded Harvey AI?+

Harvey was co-founded in 2022 by Winston Weinberg and Gabriel Pereyra, who were roommates in Los Angeles. Weinberg was a securities and antitrust litigation attorney at O'Melveny & Myers. Pereyra was a research scientist at Google DeepMind and Meta AI. They famously cold-emailed Sam Altman to get early access to GPT-4 and backing from the OpenAI Startup Fund, bootstrapping what became one of the fastest-growing AI companies in history.

### Explore Harvey AI Jobs

See Harvey's open roles alongside jobs from companies like Anthropic, OpenAI, Stripe, and more — all with culture context.

[View Harvey Jobs →](https://jobsbyculture.com/jobs?company=harvey) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Helsing in 2026: Europe's $18B Defense AI Startup, Culture & Salary

# Working at Helsing in 2026: Europe's $18B Defense AI Startup, Culture & Salary

> Inside Helsing in 2026: ~700 employees, $18B valuation, 3.9 Glassdoor rating, €80k-€150k+ engineer comp, and what working at Europe

Source: https://jobsbyculture.com/blog/working-at-helsing-2026
Markdown: https://jobsbyculture.com/blog/working-at-helsing-2026.md
Last updated: 2026-07-14

---
In mid-2025, an AI agent called Centaur piloted a Swedish Gripen E fighter jet through a beyond-visual-range combat scenario against a human pilot. It was the first publicly known instance of artificial intelligence controlling a fully operational military aircraft. The company behind it: [Helsing](https://jobsbyculture.com/companies/helsing), a Munich-based defense AI startup founded just four years earlier.

That moment captures what makes Helsing unusual — and polarizing. This is not a company building chatbots or optimizing ad clicks. Helsing builds AI for European defense and national security: real-time sensor fusion, autonomous drone systems, battlefield decision-making software. The mission is urgent, the engineering is cutting-edge, and the ethical questions are unavoidable. Whether you see that as inspiring or uncomfortable determines whether Helsing belongs on your shortlist.

We pulled data from Helsing's [company profile](https://jobsbyculture.com/companies/helsing), employee reviews, and public reporting to build an honest picture of what working there is actually like in 2026 — the talent density, the intensity, the compensation, and the trade-offs.

## Helsing at a Glance

Founded

2021

Headquarters

Munich, Germany

Founders

Torsten Reil, Gundbert Scherf, Niklas Köhler

Company Size

~700 employees

Valuation

~$18B (May 2026)

Total Funding

$1.63B across 8 rounds

Glassdoor Rating

3.9 / 5.0 (40 reviews)

Work-Life Balance

3.2 / 5.0

Recommend to Friend

63%

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Product Impact](https://jobsbyculture.com/values/product-impact), [Equity](https://jobsbyculture.com/values/equity), [Learning](https://jobsbyculture.com/values/learning)

What jumps out: Helsing is a 700-person company valued at $18 billion. That ratio — roughly $25 million per employee — is extraordinary even by AI standards. For context, [Anthropic](https://jobsbyculture.com/companies/anthropic) sits at about $20M per employee, [OpenAI](https://jobsbyculture.com/companies/openai) at around $17M. It signals how much investor capital is flowing into European defense AI and how much Helsing's contracts with European militaries and NATO allies are worth.

## The Mission: Why This Company Exists

Understanding Helsing's culture requires understanding why it was founded. Co-founder Gundbert Scherf (co-CEO) previously served as a special representative in the German Federal Ministry of Defense and as a partner at McKinsey focused on aerospace and defense. Co-founder Torsten Reil (co-CEO), with a background in AI and simulation (he previously co-founded NaturalMotion, acquired by Zynga), brought the technical conviction that modern AI could transform defense capabilities. The third co-founder, Niklas Köhler (President and Chief Product Officer), is a deep learning engineer and AI researcher.

Their thesis: European democracies need sovereign AI capabilities for defense — not reliant on American tech companies, not built by defense contractors stuck in 1990s software practices. Helsing's tagline is “AI to protect our democracies,” and it's not just marketing. The company has contracts with the German, French, and UK militaries. Daniel Ek, Spotify's founder, chairs the company and led its €600M Series D in mid-2025 through his investment vehicle Prima Materia.

This mission attracts a specific type of engineer. Multiple reviewers describe the mission focus as “unparalleled” and the sense of purpose as “incredible and inspiring.” But it also means working on technology that kills people, and Helsing acknowledges this directly. The company says it encourages “healthy, proactive, and diverse debate internally about what the company does and how it chooses to do it.” Employees are expected to practice “responsible autonomy and critical thinking” about the ethical implications of their work.

Employee Pro "Unparalleled mission focus, amazing tech, smart people — talent density highest I've seen at any tech company"

## Glassdoor Ratings Breakdown

Helsing's 3.9 overall rating from 40 reviews puts it in a respectable but not outstanding position among the companies in our [Culture Directory](https://jobsbyculture.com/companies). The pattern in the sub-scores tells the real story: compensation and career growth are strong, but the pace takes a measurable toll on work-life balance.

Compensation & Benefits 4.1

Career Opportunities 4.0

Overall Rating 3.9

Culture & Values 3.6

Work-Life Balance 3.2

The 3.2 work-life balance score is among the lowest in our directory — only a handful of companies score lower. For comparison, [Palantir](https://jobsbyculture.com/companies/palantir) scores 3.1 and [Scale AI](https://jobsbyculture.com/companies/scale-ai) scores 3.0. This is a pattern common to high-growth defense and infrastructure companies where urgency is baked into the mission, not just the business model. When the customer is a military deploying AI in active theaters, “we’ll ship it next sprint” carries different weight than it does at a SaaS company.

The Career Opportunities score of 4.0 is notable for a company this young. At ~700 people, Helsing is still small enough that individual engineers can shape products, define technical direction, and move into leadership roles quickly. Multiple reviewers cite the ability to “shape their career path” as a standout benefit.

## What Employees Actually Say

### What employees love

Employee Pro "Amazingly talented people, all very focused on a real and challenging problem set — talent density highest I've seen"

Employee Pro "Continual culture of collaborative learning with tech talks, generous learning stipend, and weekly demos"

Employee Pro "No unnecessary bureaucracy — people are given the autonomy to make decisions"

Employee Pro "Fantastic community, everyone committed to working towards common goals, colleagues working to a high standard"

The talent density theme is the most consistent signal across reviews. This is a company that hires from top AI labs, defense research institutions, and leading European tech companies. Engineers repeatedly describe colleagues as the best they've worked with. Combined with the mission urgency, it creates an environment where high-caliber people are solving genuinely novel problems — AI that operates in adversarial, safety-critical environments with real-world physical consequences.

### What could be better

Employee Con "Unwritten rule of excessive unpaid overtime to the point of burnout — high salaries do not mean constant overtime"

Employee Con "Way too much emphasis on delivering things quickly rather than correctly"

Employee Con "Some management not experienced enough to lead — lacking in performance feedback"

Employee Con "Ethical questions of AI in defense and limited public visibility due to confidential nature of projects"

The tension between speed and quality is the most concerning pattern. Multiple reviewers describe a culture where shipping fast is prioritized over shipping correctly. For a defense AI company, this creates a particular kind of technical debt: software that operates in safety-critical, adversarial environments needs to be robust. The “move fast and break things” mentality that works at a consumer startup can have very different consequences when the software controls autonomous weapons systems.

The management critique is common among fast-growing European startups. Helsing has roughly tripled its headcount in two years. Scaling management talent to match engineering talent at that pace is hard, and several reviewers note that some managers were promoted based on technical skill rather than leadership ability.

## Compensation & Benefits

Helsing pays competitively for the European market, and the 4.1 Glassdoor score for Compensation & Benefits confirms it. For a European defense tech company, this is strong — traditional defense contractors like BAE Systems and Thales typically lag significantly behind tech-company compensation.

4.1 / 5

Comp & Benefits Rating

$18B

Valuation (May 2026)

110

Open Roles

Based on verified salary data, software engineers in Munich earn €80K–€150K+ in total compensation, depending on level and experience. UK-based engineers — particularly AI Research Engineers — report total compensation around £120K. The median total compensation across all roles sits at approximately $163K.

These numbers are below what US-based AI companies like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai) pay, but that comparison misses the point. In European context, Helsing pays at or above the top of the market. Munich engineers at comparable companies like [Mistral](https://jobsbyculture.com/companies/mistral) or large incumbents like Siemens earn similar or lower total comp. The equity component is particularly significant given Helsing's trajectory from €12B to $18B valuation in under a year.

Where Helsing falls short, per reviews: benefits. Several employees note that benefits “can be better” and “not good enough.” For a company at this valuation, the expectation is premium healthcare, generous parental leave, and lifestyle benefits that match the intensity of the work. This is an area where Helsing trails behind more established tech employers.

## Engineering Culture & Tech Stack

Helsing's engineering organization operates on a principle the company calls “empowered teams” — small, cross-functional teams given autonomy over zero-to-one innovation, with Agile practices reserved for iterating on established products. The distinction matters: Helsing recognizes that disruptive insights come from cross-functional collaboration, not from top-down roadmaps.

### Tech Stack

Python Rust C++ Java

The stack reflects the nature of the work. Python handles the ML/AI layer — model training, data pipelines, research experimentation. Rust is increasingly prominent for production systems where safety and performance are non-negotiable. The company developed Sguaba, an open-source Rust crate for strongly-typed coordinate system transformations that prevents accidental mixing of different reference frames — the kind of bug that, in a defense context, could mean a missile hitting the wrong target. C++ and Java appear in legacy integration and system-level components.

The engineering challenges are genuinely unusual. Helsing's AI systems must operate in contested electromagnetic environments, handle adversarial inputs from sophisticated state-level actors, fuse data from heterogeneous sensors in real time, and make safety-critical decisions with incomplete information. If you've been writing recommendation algorithms or optimizing conversion funnels, this is a fundamentally different class of problem.

### How engineering works at Helsing

-   **Empowered teams, not feature factories.** Small teams own problems end-to-end. Engineers are trusted to make architectural decisions and choose their approach. The flip side: with autonomy comes accountability, and the pace can be relentless.
-   **Research meets deployment.** Unlike pure research labs, Helsing ships to real military customers. AI Research Engineers work alongside deployed AI engineers who take models from prototype to operational systems. The feedback loop from field deployment is fast and unforgiving.
-   **Cross-functional collaboration.** Teams include AI researchers, software engineers, domain experts (often with military backgrounds), and product managers. The intersection of these perspectives is where Helsing's most innovative work happens.
-   **Security constraints.** Working in defense means security clearances, classified projects, and limited ability to discuss your work publicly. Several reviewers mention the “limited public visibility” as a con. If you want to build a public profile through conference talks and open-source contributions, this is a real trade-off.

## The Defense Tech Question

You cannot write honestly about Helsing without addressing the elephant: this company builds technology designed for warfare. The Centaur AI agent that flew a fighter jet in combat simulation is not a thought experiment — it's a product being developed for NATO air forces.

Helsing doesn't shy away from this. The company explicitly states its mission is protecting European democracies and argues that AI-enhanced defense capabilities are essential for deterrence. Employees describe an open internal culture where ethical debate is welcomed, not suppressed. But multiple reviewers still list the ethical dimension as a con — not because the company handles it poorly, but because the tension is inherent and never fully resolves.

For engineers coming from consumer tech or pure AI research, this is the most important question to answer before applying. The work is technically fascinating, the mission is consequential, and the compensation is strong. But you will be building systems whose ultimate purpose is to give one side a lethal advantage over another. Some people find this deeply motivating. Others find it disqualifying. Neither reaction is wrong.

## Who Thrives at Helsing

Based on the culture signals, employee reviews, and the nature of the work:

-   **Mission-driven engineers who are comfortable with defense.** The mission is the primary motivator for most Helsing employees. If European security doesn't resonate with you, the intensity of the work won't be worth it. If it does, the sense of purpose is hard to match anywhere else.
-   **People who want to solve novel, hard problems.** Real-time sensor fusion in contested environments, adversarial ML, autonomous systems with safety-critical constraints — these problems don't exist at most tech companies. If you've been looking for technical challenges beyond ad tech and SaaS, Helsing has them.
-   **Self-starters comfortable with ambiguity.** At ~700 people and hypergrowth, process is still catching up to reality. If you need clear career ladders, established mentorship programs, and well-defined promotion criteria, you'll be frustrated. If you thrive in environments where you define your own role, Helsing rewards that.
-   **Engineers willing to trade WLB for impact.** The 3.2 WLB score is not accidental — it reflects a genuine cultural expectation of high commitment. If [work-life balance](https://jobsbyculture.com/values/wlb) is your top priority, companies like [Notion](https://jobsbyculture.com/companies/notion), [Linear](https://jobsbyculture.com/companies/linear), or [PostHog](https://jobsbyculture.com/companies/posthog) are better fits.

Helsing is _not_ ideal for engineers who want public recognition for their work (security constraints limit external sharing), those uncomfortable with the ethical dimensions of defense AI, or people looking for a well-oiled corporate machine with mature HR processes.

## Open Positions at Helsing

Helsing currently has **126 open positions** on our platform, spanning AI research, software engineering, systems engineering, and product roles across Munich, Berlin, London, Paris, Barcelona, and Stockholm. Roles include AI Research Engineers in computer vision, reinforcement learning, and foundation models, as well as deployed AI engineers, backend engineers, and site reliability engineers.

For a company of ~700 people, 126 open roles means roughly 15% headcount growth planned. That's aggressive but not reckless. If the culture and technical challenges described in this post resonate, the application window is wide open.

## Frequently Asked Questions About Working at Helsing

How many employees does Helsing have in 2026?+

Helsing has approximately 700 employees as of mid-2026, up from around 400 at the end of 2024. The company is headquartered in Munich with offices in Paris, London, Berlin, Barcelona, and Stockholm (opened April 2026). Helsing has 126 open roles on our platform, indicating continued aggressive hiring.

What is Helsing's valuation in 2026?+

Helsing is in advanced talks to raise $1.2 billion at an $18 billion valuation as of May 2026, led by Dragoneer Investment Group with co-lead Lightspeed Venture Partners. The company was previously valued at €12 billion after its €600M Series D led by Daniel Ek's Prima Materia in June 2025. Total funding to date is approximately $1.63 billion across 8 rounds.

What is Helsing's Glassdoor rating?+

Helsing has a 3.9 out of 5.0 Glassdoor rating based on 40 reviews. Sub-scores: Compensation & Benefits 4.1/5, Career Opportunities 4.0/5, Culture & Values 3.6/5, and Work-Life Balance 3.2/5. 63% of employees recommend working there. See our [full Helsing culture profile](https://jobsbyculture.com/companies/helsing) for the complete breakdown.

What does Helsing actually build?+

Helsing builds AI software for European defense and national security. Products include real-time sensor fusion systems, autonomous drone platforms, AI agents for military decision-making, and satellite-based AI surveillance (in partnership with Loft Orbital). In 2025, Helsing's Centaur AI agent piloted a fighter jet in a beyond-visual-range combat trial — the first publicly known instance of AI piloting a fully operational military aircraft.

What is Helsing's engineering culture like?+

Helsing's engineering culture emphasizes high talent density, autonomy, and mission focus. Teams use “empowered product development” for zero-to-one innovation with Agile for established products. The tech stack includes Python, Rust, C++, and Java. Engineers praise the caliber of colleagues and the autonomy but note that the pace is demanding, with a 3.2/5 work-life balance score.

How much do engineers earn at Helsing?+

Software engineers at Helsing in Munich earn €80K–€150K+ in total compensation depending on level. UK-based AI Research Engineers report around £120K annually. The median total comp across all roles is approximately $163K. Compensation is rated 4.1/5 — competitive for European defense tech and above market for Munich and London.

Is Helsing publicly traded?+

No, Helsing is a private company as of 2026. With an $18 billion valuation and $1.63 billion in total funding, the company is among Europe's most valuable private AI companies. Notable investors include Daniel Ek (via Prima Materia), Dragoneer, Lightspeed Venture Partners, General Catalyst, and Spotify founder Daniel Ek as board chairman.

### Explore Helsing's 126 open roles

See culture values, employee reviews, and open positions — with side-by-side comparisons to companies like Palantir, Mistral, and Anthropic.

[View Helsing Profile →](https://jobsbyculture.com/companies/helsing) [Browse Helsing Jobs →](https://jobsbyculture.com/jobs?company=helsing)

---

## Document: Hippocratic AI in 2026: $3.5B Valuation, 264 Employees, Culture & Salary

# Hippocratic AI in 2026: $3.5B Valuation, 264 Employees, Culture & Salary

> Working at Hippocratic AI in 2026: $3.5B valuation, 264 employees, 3.9 Glassdoor rating, $150k-$350k salary range, and what the mission-first healthcare AI culture is really like inside.

Source: https://jobsbyculture.com/blog/working-at-hippocratic-ai-2026
Markdown: https://jobsbyculture.com/blog/working-at-hippocratic-ai-2026.md
Last updated: 2026-07-14

---
[Hippocratic AI](https://jobsbyculture.com/companies/hippocratic-ai) is one of the fastest-growing healthcare AI companies in the world. Founded in 2023 by serial entrepreneur Munjal Shah, it builds clinically safe generative AI agents that handle real patient interactions — post-discharge follow-ups, medication adherence calls, chronic care check-ins — at a scale no human workforce could match. In just over two years, the company has reached a $3.5 billion valuation, raised $404 million in total funding, and completed over 115 million clinical patient interactions without a single safety incident.

But the numbers only tell half the story. What makes Hippocratic AI genuinely unusual is the culture: a startup that moves fast and demands long hours, yet treats clinical safety as an inviolable constraint. New hires — engineers, salespeople, ops team members — all take the Hippocratic Oath together during onboarding. It’s not metaphorical. It’s a ceremony. And it sets the tone for everything that follows.

Whether you’re evaluating an offer, preparing for an interview, or curious about what it’s like to work at the intersection of AI and healthcare, here’s what we found after analyzing employee reviews, company data, and the hiring landscape.

## Hippocratic AI at a Glance

Founded

2023

Headquarters

Palo Alto, CA

CEO & Co-Founder

Munjal Shah

Company Size

~264 employees

Valuation

$3.5B (Series C, Nov 2025)

Total Funding

$404M

Glassdoor Rating

3.9 / 5.0

Work-Life Balance

3.2 / 5.0

Recommend to Friend

75%

Open Positions

66 roles

Culture Values

[Mission-Driven](https://jobsbyculture.com/values/social-impact), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Many Hats](https://jobsbyculture.com/values/many-hats), [Learning](https://jobsbyculture.com/values/learning)

$3.5B

Valuation

115M+

Patient Interactions

50+

Health System Partners

Among the [118 companies in our Culture Directory](https://jobsbyculture.com/companies), Hippocratic AI occupies a rare position: a pre-IPO startup with unicorn valuation and genuine [social impact](https://jobsbyculture.com/values/social-impact). The company isn’t building another chatbot or writing assistant. It’s building AI agents that call patients after surgery to check for complications, remind them to take medication, and escalate to human nurses when something is wrong. The stakes are different here — and that shapes everything about the culture.

## The Culture: Mission-First, Move-Fast, No Shortcuts on Safety

Hippocratic AI’s culture sits at an unusual intersection: the urgency of a Series C startup trying to capture a massive market, combined with the clinical rigor of a healthcare organization that cannot afford to be wrong. These two forces create a unique tension that defines daily life at the company.

The urgency is real. Healthcare’s labor crisis isn’t theoretical — the U.S. faces a projected shortage of 100,000+ nurses by 2030. Hippocratic AI is racing to fill that gap with AI agents that can handle the 80% of patient communications that don’t require clinical judgment. In 15 months since commercialization, they’ve onboarded 50+ health systems across 6 countries and built over 1,000 clinical use cases. That pace requires everyone to [ship fast](https://jobsbyculture.com/values/ship-fast) and [wear multiple hats](https://jobsbyculture.com/values/many-hats).

But the safety constraint is equally real. Unlike a B2B SaaS product where a bug means a slightly wrong dashboard, a healthcare AI agent that gives bad advice could harm a patient. The company’s core model, Polaris, outperforms GPT-4 on 105 of 114 healthcare certification exams — but that’s table stakes, not the finish line. Every interaction is monitored. Every edge case is documented. Clinical safety is the one thing that never gets deprioritized for speed.

Employee Pro “Genuinely mission-driven — new hires take the Hippocratic Oath together. The recruiting and onboarding experience is best-in-class. You feel the clinical impact from day one.”

Employee Con “Work-life balance is tough — startup pace with long hours expected. Everyone wears multiple hats, which is energizing but can also be stressful. Don’t expect a 9-to-5.”

## The Oath Ceremony: Not Just a Gimmick

Multiple employees describe the onboarding Hippocratic Oath ceremony as a genuine culture-setting moment rather than corporate theater. During the first week, all new hires — regardless of role — participate in a group oath ceremony. The text draws from the original Hippocratic Oath but is adapted for AI: a commitment to patient safety, to doing no harm through the technology you build, to treating healthcare data with gravity.

This isn’t common in tech. At most companies, onboarding is a Slack invite and a laptop setup. At Hippocratic AI, it’s a deliberate statement: you are not building a consumer app. Your code will interact with real patients. Act accordingly.

The practical effect is that safety concerns raised by any employee — engineer, PM, or clinical advisor — carry real weight. Several reviewers note that “patient impact” isn’t just a value on a slide deck but a genuine decision-making framework used in product meetings.

## Engineering at Hippocratic AI

The engineering team builds and maintains Polaris, the company’s proprietary healthcare LLM optimized for real-time patient voice interactions. This isn’t a wrapper around GPT-4 — it’s a custom model trained specifically for clinical accuracy, safety, regulatory compliance, and empathy in voice conversations.

### What engineers work on

-   **LLM inference optimization** — making Polaris fast enough for real-time voice conversations while maintaining clinical accuracy
-   **Speech and voice AI** — building multimodal models that understand tone, urgency, and patient emotional state
-   **Safety guardrails** — automated systems that detect when an AI agent should escalate to a human clinician
-   **Clinical validation pipelines** — infrastructure for testing model outputs against medical standards
-   **Integration with health systems** — EHR integrations, HIPAA-compliant data pipelines, deployment across 50+ partner institutions

The founding team includes AI researchers from Stanford, Google, Microsoft, and NVIDIA, alongside physicians and clinical researchers from Johns Hopkins. The Chief Science Officer, Subho, leads model development. The Chief Product Officer, Vishal, oversees all technology including Polaris, infrastructure, interfaces, and tools.

At 264 people, the engineering team is still small enough that individual contributors have significant ownership. You won’t be writing JIRA tickets for three months before shipping — but you also won’t have the support infrastructure of a company like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [DeepMind](https://jobsbyculture.com/companies/deepmind). The [many-hats](https://jobsbyculture.com/values/many-hats) value is real: engineers often handle deployment, monitoring, and on-call alongside feature development.

## Employee Ratings Breakdown

Here’s how employees rate Hippocratic AI across key categories:

Career Opportunities 4.0

Overall Rating 3.9

Culture & Values 3.5

Work-Life Balance 3.2

Career Opportunities at 4.0 is the relative bright spot. At a 264-person company growing this fast, career advancement is organic and rapid. Multiple reviewers describe being promoted or given expanded scope within their first year. The flip side is that the 3.2 work-life balance score reflects the cost of that growth: long hours, high expectations, and the in-office mandate. 75% of employees recommend working there — solid but reflecting the trade-offs.

For comparison, the WLB score is similar to [Scale AI](https://jobsbyculture.com/companies/scale) (3.0) and [CoreWeave](https://jobsbyculture.com/companies/coreweave) (3.3) — other high-growth infrastructure companies where intensity is the norm. If you’re optimizing for balance, companies like [Notion](https://jobsbyculture.com/companies/notion) (4.2) or [Linear](https://jobsbyculture.com/companies/linear) (4.4) are better fits.

## Compensation: Startup Equity + Competitive Base

Total compensation at Hippocratic AI ranges from approximately $150k to $350k depending on role, level, and equity grant. Engineering roles (ML engineers, inference engineers, applied scientists) tend toward the upper end, while operations and go-to-market roles start lower with meaningful equity upside.

The equity conversation is worth having honestly. At a $3.5B valuation with $404M raised, Hippocratic AI is past the early-stage lottery-ticket phase but still has significant upside potential. The healthcare AI market is projected to exceed $180B by 2030, and the company is the clear leader in patient-facing AI agents. If the company reaches IPO or is acquired at 2–3x the current valuation, early equity grants could be transformative.

That said, base compensation is not going to match what [Anthropic](https://jobsbyculture.com/companies/anthropic) ($300k–$490k) or [OpenAI](https://jobsbyculture.com/companies/openai) ($350k–$550k) pays for senior engineers. You’re trading immediate cash comp for equity upside and mission alignment — a classic startup trade-off, but at a company with significantly de-risked execution given its traction.

## The In-Office Reality

Hippocratic AI is strictly in-person, five days a week, at their Palo Alto headquarters. This is non-negotiable for the vast majority of roles. No hybrid Wednesdays. No remote exceptions for senior hires (with limited exceptions for field-based sales roles).

The rationale makes more sense here than at most companies enforcing RTO. Healthcare AI development requires constant collaboration between engineers, clinicians, and clinical validation teams. When you’re debugging why an AI agent mishandled a patient interaction, having the clinical advisor three desks away — not three time zones away — matters. The feedback loops are tighter.

Still, for engineers who have been remote since 2020, the five-day in-office requirement is a hard filter. If [remote work](https://jobsbyculture.com/values/remote) is non-negotiable for you, Hippocratic AI is simply not an option. The company knows this and accepts the trade-off: they’d rather have a smaller, co-located team moving fast than a distributed team with communication overhead.

## Recognition and Market Position

Hippocratic AI was named to Forbes America’s Best Startup Employers 2026 — a recognition that validates what employees report about the workplace experience. The company’s healthcare partners include Cleveland Clinic, Northwestern Medicine, Ochsner Health, Moffitt Cancer Center, University Hospitals, Guy’s & St Thomas’ NHS Trust, Cincinnati Children’s Hospital, and many others.

The investor roster tells a similar story: Andreessen Horowitz, General Catalyst, Kleiner Perkins, CapitalG (Google’s growth fund), and Cincinnati Children’s Hospital investing directly. When hospitals invest in a healthcare AI company (not just partner with it), that’s an unusual signal of product-market fit.

## Who Should — and Shouldn’t — Work Here

Hippocratic AI is ideal for:

-   **Mission-motivated engineers who want tangible patient impact.** If you want your code to directly help real patients recover from surgery, manage chronic conditions, or navigate the healthcare system, this is one of the most impactful places to be. The 115M+ patient interactions are not theoretical metrics — they represent real human outcomes.
-   **People who thrive at startup intensity.** The 3.2 WLB score is honest. This is a company racing to capture a massive market. If you find energy in urgency and meaning in hard problems with real stakes, the pace will feel right. If you need strict boundaries, it won’t.
-   **Generalists who enjoy wearing many hats.** At 264 people building 1,000+ clinical use cases across 50+ health systems, scope is unlimited. You’ll touch things that wouldn’t be your job description at a bigger company. That’s either exciting or overwhelming — know which camp you’re in.
-   **AI/ML engineers interested in healthcare-specific challenges.** Real-time voice AI with clinical safety constraints is a genuinely novel engineering problem. The intersection of LLM inference optimization, speech recognition, and regulatory compliance creates technical challenges you won’t find at general-purpose AI companies.

Hippocratic AI is _not_ the right fit for people who prioritize remote work, strict work-life boundaries, or a slow and deliberate pace. The in-office requirement is absolute. The hours are long. And the expectation that everyone wears multiple hats means your boundaries will be tested. If those are dealbreakers, look at companies like [PostHog](https://jobsbyculture.com/companies/posthog) (fully remote, async) or [Notion](https://jobsbyculture.com/companies/notion) (strong WLB) instead.

## Open Positions at Hippocratic AI

Hippocratic AI currently has **66 open positions** on our platform, spanning research science, LLM inference engineering, applied science, sales, customer success, and regulatory roles. Key openings include Research Scientist (Speech Technologies), LLM Inference Engineer, Agent Deployment Architect, and Strategic Account Executive positions.

For the full list of open roles, culture values breakdown, and side-by-side comparison with other healthcare and AI companies, visit the [Hippocratic AI culture profile](https://jobsbyculture.com/companies/hippocratic-ai).

## Frequently Asked Questions About Working at Hippocratic AI

How many employees does Hippocratic AI have in 2026?+

Hippocratic AI has approximately 264 employees as of early 2026. The company has grown rapidly since its founding in 2023, fueled by $404 million in total funding. They currently have 66 open positions across engineering, sales, clinical operations, and research roles.

What is Hippocratic AI’s valuation?+

Hippocratic AI is valued at $3.5 billion as of its November 2025 Series C round, which raised $126 million led by Avenir Growth. Previous investors include Andreessen Horowitz (a16z), General Catalyst, Kleiner Perkins, and CapitalG (Google’s growth fund). Total funding stands at $404 million.

What is Hippocratic AI’s Glassdoor rating?+

Hippocratic AI has a 3.9 out of 5.0 overall rating based on 32 Glassdoor reviews. Career opportunities score highest at 4.0/5, while work-life balance is lowest at 3.2/5. 75% of employees recommend working there. See the full breakdown on our [Hippocratic AI culture profile](https://jobsbyculture.com/companies/hippocratic-ai).

Is Hippocratic AI remote-friendly?+

No. Hippocratic AI requires five days per week in-office at their Palo Alto headquarters. There is no hybrid option for most roles. Some field-based positions (regional sales, customer success) are location-flexible, but core engineering, product, and research roles are strictly on-site.

What does Hippocratic AI’s technology do?+

Hippocratic AI builds clinically safe generative AI agents for healthcare. Their core model, Polaris, handles real-time patient voice interactions — post-discharge follow-ups, medication reminders, chronic care check-ins — with clinical accuracy and empathy. It outperforms GPT-4 on 105 of 114 healthcare certification exams and has completed 115 million+ patient interactions with zero safety incidents.

What is the salary range at Hippocratic AI?+

Total compensation ranges from approximately $150k to $350k depending on role and level. Engineering and research roles tend toward the upper end ($200k–$350k), while non-technical roles range $150k–$250k. As a Series C company at $3.5B valuation, equity is a meaningful component of total comp with significant upside potential.

Who founded Hippocratic AI?+

Hippocratic AI was co-founded in 2023 by Munjal Shah (CEO), who holds a BS in Computer Science from UC San Diego and an MS from Stanford focused on artificial intelligence. Shah is a serial entrepreneur whose senior thesis focused on neural networks for protein research. The founding team includes physicians, hospital administrators, and AI researchers from Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.

### Explore Hippocratic AI’s 66 open roles

See all positions with culture context — from LLM inference engineers to clinical operations, plus compare with other healthcare AI companies.

[View Hippocratic AI Profile →](https://jobsbyculture.com/companies/hippocratic-ai) [Browse Open Jobs →](https://jobsbyculture.com/jobs?company=hippocratic-ai)

---

## Document: Working at HubSpot in 2026: 3.4 Glassdoor, 3.5 WLB, Remote-First — Honest Breakdown | JobsByCulture

# Working at HubSpot in 2026: 3.4 Glassdoor, 3.5 WLB, Remote-First — Honest Breakdown | JobsByCulture

> Working at HubSpot in 2026: 3.4 Glassdoor (55% recommend), 3.5 work-life balance, remote-first across 8,500+ employees. What the Culture Code actually looks like in practice — and where it strains under enterprise sales pressure.

Source: https://jobsbyculture.com/blog/working-at-hubspot-2026
Markdown: https://jobsbyculture.com/blog/working-at-hubspot-2026.md
Last updated: 2026-07-14

---
Short answer

HubSpot in 2026 is a mature, remote-first SaaS company whose Culture Code reputation is under real pressure. **3.4 overall Glassdoor** across 4,138 reviews, **3.5 WLB**, **55% recommend to friend**. Roughly **8,500 employees**. The good stuff still shows up — transparency norms, internal mobility, generous parental leave, remote-first flexibility. The honest caveats: enterprise sales quotas have tightened, mid-management is uneven across orgs, the comp & benefits score has slid, and the engineering brand is less prestige-coded than at frontier labs. If remote flexibility and a values-friendly environment matter to you, it can still work — but go in with eyes open about how the numbers have moved.

Most companies talk about culture. HubSpot wrote a 128-page slide deck about it, published it, and watched it get viewed over 5 million times. The HubSpot Culture Code is arguably the most famous corporate culture artifact in tech. Netflix's deck may be more cited, but HubSpot's is the one HR teams actually try to copy.

Does it hold up in 2026? With ~8,500 employees, a public NYSE listing, and the gravitational pull of enterprise sales targets, can a company this large still practice what it preaches? We pulled Glassdoor data, employee reviews, compensation signals, and HubSpot's cultural DNA to answer. Whether you're weighing an offer, prepping for an interview, or evaluating large-company culture options across our [Culture Directory](https://jobsbyculture.com/companies), here's the complete picture.

## HubSpot at a Glance

Before we unpack the culture, here are the numbers that define HubSpot today.

Metric

Detail

Founded

2006

Headquarters

Cambridge, MA (NYSE: HUBS)

Company Size

~8,500 employees

Glassdoor Rating

3.4 / 5.0 (4,138 reviews)

Work-Life Balance

3.5 / 5.0

Culture & Values

3.4 / 5.0

Recommend to Friend

~55%

CEO

Yamini Rangan

Open Positions

276

A 3.4 Glassdoor rating with 55% recommend reflects a Culture Code under strain. Culture typically erodes at scale — the more people you add, the harder it is to maintain the values you started with. For context, [Anthropic](https://jobsbyculture.com/companies/anthropic) sits at 4.4 (95% recommend) with ~1,500 employees, [Databricks](https://jobsbyculture.com/companies/databricks) at 4.2 with ~7,000, and [Datadog](https://jobsbyculture.com/companies/datadog) at 4.0 with ~5,500. HubSpot's numbers indicate the public CRM giant is now closer to the middle of the pack on culture than the top — with a large 4,138-review sample size that makes the signal statistically reliable.

3.4 / 5.0

Overall Glassdoor — Based on 4,138 Reviews

## The Culture Code: More Than a Slide Deck

In 2013, HubSpot co-founder Dharmesh Shah published the Culture Code — a public document that laid out the company's cultural philosophy in plain language. It wasn't a list of bland values printed on a conference room wall. It was a specific, opinionated manifesto about how HubSpot believes work should function: transparency by default, autonomy over micromanagement, results over face time, and a genuine commitment to employee growth.

The document has been updated multiple times since then, but the core principles remain. What makes the Culture Code distinct isn't that it exists — every company has values — but that for years employees consistently said it was _real_. The 3.4 Culture & Values score on Glassdoor in 2026 is a noticeable step down from the company's reputation, and reviews increasingly cite gaps between the Code's promises and day-to-day reality on quota-driven teams.

Pro — Common Glassdoor Theme Reviewers still cite transparency, autonomy, and flexibility as parts of the company's day-to-day reality — the Culture Code's residual influence on policy and process is visible.

The Culture Code also pioneered the idea of **"culture add" over "culture fit"** — hiring people who bring something new to the culture rather than people who merely conform to it. This philosophy contributes to HubSpot's genuine diversity and psychological safety, two values that employees frequently highlight as authentic rather than performative.

## Glassdoor Ratings Breakdown

The 3.4 overall score is middling, and the sub-category ratings tell the real story. Compensation & Benefits is the relative strongest sub-score, while Career Opportunities lags behind — consistent with reviews citing slowed internal mobility and uneven management.

Comp & Benefits

3.6

Work-Life Balance

3.5

Overall Rating

3.4

Culture & Values

3.4

Career Opportunities

3.2

The defining tension is between the Culture Code's reputation and the day-to-day reality reported in reviews. Comp & Benefits at 3.6 is the strongest category but has decreased ~2% in the last 12 months per Glassdoor signals. Career Opportunities at 3.2 is the clearest weakness, with reviewers citing slower mobility and uneven mid-management. For comparison, [Anthropic](https://jobsbyculture.com/companies/anthropic) scores 4.4 overall, while [Databricks](https://jobsbyculture.com/companies/databricks) sits at 4.2.

The 3.5 Work-Life Balance is OK for a large public SaaS company but not a differentiator anymore. [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) scores 4.3, [Datadog](https://jobsbyculture.com/companies/datadog) sits at 3.5, and [Cloudflare](https://jobsbyculture.com/companies/cloudflare) at 3.8. HubSpot is now in line with the field rather than ahead of it.

## Culture & Values

HubSpot's culture is built around six core values that employees consistently validate as genuine rather than aspirational.

[Diverse](https://jobsbyculture.com/values/diverse) [Learning](https://jobsbyculture.com/values/learning) [Work-Life Balance](https://jobsbyculture.com/values/wlb) [Transparent](https://jobsbyculture.com/values/transparent) [Flex Hours](https://jobsbyculture.com/values/flex-hours) [Psych Safety](https://jobsbyculture.com/values/psych-safety)

**Psychological safety** has historically stood out. HubSpot invested heavily in creating an environment where people feel safe to fail, ask questions, and give honest feedback without fear of retaliation. Blameless postmortems are standard practice. Reviewers still cite this as a strength, though the 3.4 Culture & Values score and 55% recommend rate indicate the lived experience is less uniformly positive than the company's external reputation suggests.

**Transparency** is another cornerstone. HubSpot shares financial data, strategic decisions, and board meeting summaries internally. The Culture Code itself is a public document — the company is transparent not just with employees but with the entire world. This level of openness is rare for a public company navigating quarterly earnings pressure.

Pro — Glassdoor Review "Genuinely safe to fail here. Blameless postmortems, open feedback, and management that actually listens. Not something I've experienced at other large companies."

**Learning culture** is embedded in the fabric. HubSpot offers education stipends, encourages internal mobility, and promotes a growth mindset. Employees frequently cite the opportunity to learn and move between teams as a top reason for staying. For engineers looking for long-term career development rather than a two-year stint, this matters.

## Engineering Culture & Tech Stack

HubSpot's engineering organization builds and maintains the CRM platform that serves over 200,000 customers. The scale is significant — this isn't a startup where you're building from zero. It's a mature platform handling billions of API calls, processing massive data pipelines, and serving a global customer base.

### Tech Stack

Java Python React Kafka AWS HubSpot CMS

The stack is mature and well-established. **Java** powers the backend services. **Python** handles data engineering and ML workloads. **React** drives the frontend. **Kafka** manages event streaming at scale. The infrastructure runs on **AWS**. This is a proven, enterprise-grade stack — not the most exciting for engineers who want to work with cutting-edge AI frameworks, but solid and well-understood for those who value stability and depth.

HubSpot coined the term "inbound marketing" and built an entire product category around it. The engineering challenge today is evolving the platform to compete with Salesforce while maintaining the simplicity and developer experience that made HubSpot popular in the first place. Engineers work on problems like real-time data syncing, ML-powered lead scoring, and scaling a multi-tenant platform — not frontier AI research, but complex distributed systems at genuine scale.

Pro — Glassdoor Review "Strong engineering culture with real autonomy. You own your services end-to-end and the team trusts you to make decisions."

Engineering teams are organized into small, autonomous pods with end-to-end ownership of their services. This structure gives engineers significant autonomy — you're not waiting for approval from three layers of management to ship a feature. That said, the 3.2 Career Opportunities score is the article's clearest warning sign for engineers prioritizing internal mobility: reviewers cite slower promotion cycles and uneven manager investment in growth.

## Compensation & Benefits

Compensation & Benefits sits at 3.6 out of 5.0 — relatively the strongest sub-score but still middling, and trending down ~2% in the last 12 months.

$150K–$300K

Estimated Total Compensation for Engineers — Below FAANG Peers

Here's the compensation picture:

-   **Base salary range:** $130K–$200K for software engineers depending on level and location
-   **Total compensation:** $150K–$300K including RSUs and bonus, varying by seniority
-   **Equity:** RSUs in a public company (NYSE: HUBS) — liquid, but growth potential is more modest than pre-IPO startup equity
-   **Education stipend:** Budget for courses, conferences, and professional development
-   **Unlimited PTO:** With a culture that actually encourages using it
-   **Comprehensive benefits:** Health, dental, vision, 401k matching, parental leave

The 3.6 comp score reflects a real gap. [Anthropic](https://jobsbyculture.com/companies/anthropic) pays $300K–$490K for engineers, [OpenAI](https://jobsbyculture.com/companies/openai) pays $350K–$550K, and even [Databricks](https://jobsbyculture.com/companies/databricks) and [Datadog](https://jobsbyculture.com/companies/datadog) offer higher total comp for senior roles. HubSpot can't compete on raw numbers with AI labs or FAANG. The value proposition is different: remote-first flexibility, predictable benefits, job stability at a public company, and a less intense environment than top AI labs. For engineers who prioritize those factors, the trade-off can work. For those optimizing for TC, it doesn't.

## Work-Life Balance

Work-life balance is rated 3.5 out of 5.0 — OK but no longer a standout for a company of HubSpot's size. The remote-first commitment is real, but enterprise sales pressure has compressed quotas and pushed WLB scores closer to the field.

3.5 / 5.0

Work-Life Balance — Middling for a Company of 8,500

HubSpot operates as a **remote-first** company with offices in Cambridge, Dublin, London, Singapore, Tokyo, Sydney, and other cities. Employees can work from anywhere — the company has committed to remote-first as a permanent model, not a pandemic accommodation. Flexible hours are genuine, with employees consistently reporting that they can structure their day around their life rather than the other way around.

The top hiring locations reflect this distributed approach:

-   **Remote USA** — 171 open roles
-   **Remote Ireland** — 171 open roles
-   **Dublin** — 171 open roles
-   **Remote UK** — 171 open roles
-   **London** — 171 open roles

Pro — Common Glassdoor Theme Reviewers consistently cite remote-first flexibility and flexible hours as genuine benefits, with managers generally trusting employees to get the work done without micromanaging when or where it happens.

For comparison, [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) scores 4.3 WLB (fully remote, ~1,700 people), [PostHog](https://jobsbyculture.com/companies/posthog) scores 4.5 (fully remote, ~170 people), while [Anthropic](https://jobsbyculture.com/companies/anthropic) scores 3.7 and [OpenAI](https://jobsbyculture.com/companies/openai) scores 3.5. HubSpot's 3.5 puts it on par with frontier AI labs and below smaller remote-first SaaS companies — the WLB advantage the Culture Code used to be known for has compressed.

## Who Thrives at HubSpot — and Who Might Struggle

### You'll thrive if you...

+ **Value culture and psychological safety** — the Culture Code is real, and the environment is genuinely supportive and inclusive.

+ **Want remote-first flexibility** — work from anywhere with flexible hours and management that trusts you.

+ **Prioritize learning and growth** — education stipends, internal mobility, and a growth-focused management philosophy.

+ **Want stability at a public company** — NYSE-listed, profitable, ~8,500 employees. HubSpot isn't going anywhere.

### You might struggle if you...

− **Optimize for maximum compensation** — HubSpot's $150K–$300K TC range falls short of FAANG and AI lab peers.

− **Want cutting-edge AI/ML work** — HubSpot is a CRM platform, not a frontier AI lab. The tech is solid but not bleeding-edge.

− **Dislike large company process** — 8,500+ employees means bureaucracy, cross-team coordination, and slower decision-making than a startup.

− **Are frustrated by sales-driven priorities** — enterprise sales culture can sometimes override engineering priorities and roadmaps.

Con — Glassdoor Review "Compensation doesn't keep up with the market, especially for senior engineers. You stay for the culture, not the paycheck."

Con — Glassdoor Review "Large company bureaucracy is real. Getting things done across teams requires patience and political skill that wasn't needed when we were smaller."

## How HubSpot Compares

Context matters. Here's how HubSpot stacks up against other large tech companies in our [Culture Directory](https://jobsbyculture.com/companies).

Company

Glassdoor

WLB

Culture

Comp

Employees

**HubSpot**

3.4

3.5

3.4

3.6

~8,500

[Databricks](https://jobsbyculture.com/companies/databricks)

4.2

3.6

4.3

4.5

~7,000

[Datadog](https://jobsbyculture.com/companies/datadog)

4.0

3.5

4.0

4.1

~5,500

[Cloudflare](https://jobsbyculture.com/companies/cloudflare)

4.0

3.8

4.1

3.6

~4,000

[Grafana Labs](https://jobsbyculture.com/companies/grafanalabs)

4.1

4.3

4.2

3.9

~1,700

The comparison reveals HubSpot's current position. Across every sub-score, HubSpot now trails the other large enterprise SaaS and infra peers in this set. Databricks at 4.5 on Comp pays meaningfully more than HubSpot's 3.6. Grafana Labs leads on WLB at 4.3 with less than a quarter of HubSpot's headcount. HubSpot's distinctive remote-first commitment and Culture Code history are still real, but the numbers no longer place it ahead of the field.

If you want strong culture at scale with better comp, [Databricks](https://jobsbyculture.com/companies/databricks) is a closer fit. If you want better WLB at a smaller company, [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) delivers. Use our [comparison tool](https://jobsbyculture.com/compare?a=hubspot) to run your own side-by-side analysis.

## Open Positions at HubSpot

HubSpot currently has **171 open positions** across multiple departments and locations. The hiring profile reflects a mature company investing across the board.

Top departments hiring:

-   **Sales** — 142 roles (reflecting HubSpot's go-to-market engine)
-   **Engineering** — 51 roles (Java, Python, React, infrastructure)
-   **Product** — 18 roles
-   **UX** — 17 roles
-   **Operations** — 14 roles

The heavy sales hiring (142 of 276 roles) is worth noting. HubSpot is, at its core, a go-to-market machine. Engineering is important but not the center of gravity the way it is at companies like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [Databricks](https://jobsbyculture.com/companies/databricks). If you're an engineer who wants to be at a company where engineering is the primary function, HubSpot may not scratch that itch. If you're an engineer who's comfortable at a sales-led company with strong engineering culture _within_ the engineering org, it works well.

For the full list of live openings, visit the [HubSpot jobs page](https://jobsbyculture.com/jobs?company=hubspot) or explore the [HubSpot careers site](https://www.hubspot.com/careers?ref=jobsbyculture.com).

## The Bottom Line

### The Verdict

HubSpot built a Culture Code that the industry copied for a decade, but the 2026 data shows real strain. The 3.4 overall rating, 3.4 Culture & Values score, 55% recommend rate, and 3.5 WLB are all middling for a public SaaS company under enterprise sales pressure. The strongest sub-score is Comp & Benefits at 3.6, but even that is sliding. Remote-first flexibility, transparency norms, and learning culture still show up in reviews — but the magic ratio of "happy people + scale" the company was famous for has compressed. If you want a stable, remote-first SaaS job and aren't optimizing for top comp or frontier AI work, it can still be a fit. If you're chasing the Culture Code reputation alone, the numbers don't back it up the way they did three years ago. Look at [Anthropic](https://jobsbyculture.com/companies/anthropic) or [Databricks](https://jobsbyculture.com/companies/databricks) for higher Glassdoor and comp.

HubSpot's real legacy is publishing a Culture Code that defined how a generation of tech companies talked about values. Most companies lose their soul somewhere between 500 and 2,000 people; HubSpot held on for far longer than that. The 3.4 Glassdoor rating isn't catastrophic — it's the kind of score that says a mature public SaaS company is, well, a mature public SaaS company. Just don't expect 2018 reviews to describe 2026 reality.

## Frequently Asked Questions About Working at HubSpot

What is HubSpot's Glassdoor rating in 2026?+

HubSpot has a Glassdoor rating of 3.4 out of 5.0 in 2026 based on 4,138 reviews, with approximately 55% of employees recommending it to a friend. Compensation & Benefits is the relative strongest sub-score at 3.6, Work-Life Balance is 3.5, Culture & Values 3.4, and Career Opportunities 3.2. For context, this puts HubSpot below [Datadog](https://jobsbyculture.com/companies/datadog) (4.0), [Cloudflare](https://jobsbyculture.com/companies/cloudflare) (4.0), [Anthropic](https://jobsbyculture.com/companies/anthropic) (4.4), and [OpenAI](https://jobsbyculture.com/companies/openai) (4.5). See our full [Culture Directory](https://jobsbyculture.com/companies) for how all companies compare.

What is the HubSpot Culture Code?+

The HubSpot Culture Code is a public document (originally a 128-page slide deck) created by co-founder Dharmesh Shah that has been viewed over 5 million times. It outlines HubSpot's core cultural principles: transparency by default, autonomy over micromanagement, results over face time, "culture add" over "culture fit," and a genuine commitment to employee growth. It was one of the first tech companies to codify and publicly share its culture philosophy, and remnants of it still show up in reviews. The 3.4 Culture & Values Glassdoor score in 2026 suggests the lived experience has compressed compared to the Code's external reputation.

How many employees does HubSpot have in 2026?+

HubSpot has approximately 8,500+ employees globally as of 2026. The company is publicly traded on the NYSE (ticker: HUBS) and headquartered in Cambridge, MA, with offices in Dublin, London, Singapore, Tokyo, Sydney, and other cities. Despite its large size, HubSpot maintains a remote-first culture. They currently have 171 open positions across sales (142), engineering (51), product (18), UX (17), and operations (14). See our [AI company employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026) for how HubSpot compares in size.

What is work-life balance like at HubSpot?+

HubSpot's work-life balance is rated 3.5 out of 5.0 on Glassdoor — middling for a company of 8,500+ employees. The company is remote-first with flexible hours, and reviewers still cite this as a strength, but enterprise sales quota pressure pulls the score down compared to where the Culture Code reputation might suggest. For comparison, [PostHog](https://jobsbyculture.com/companies/posthog) scores 4.5 WLB, [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) 4.3, while [Anthropic](https://jobsbyculture.com/companies/anthropic) scores 3.7 and [OpenAI](https://jobsbyculture.com/companies/openai) 3.5. HubSpot is no longer ahead of the field on WLB at scale.

What is HubSpot's salary and compensation?+

HubSpot engineer total compensation typically ranges from $150,000 to $300,000 depending on level and location, including base salary, RSUs, and bonus. Compensation & Benefits is rated 3.6 on Glassdoor — the relative strongest sub-category but still trending down. While competitive for a large SaaS company, it lags behind FAANG companies and top AI startups like [Anthropic](https://jobsbyculture.com/companies/anthropic) ($300K–$490K) or [OpenAI](https://jobsbyculture.com/companies/openai) ($350K–$550K). Benefits include education stipends, unlimited PTO, comprehensive health coverage, 401k matching, and parental leave. See our [AI compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) for full comparison data.

Is HubSpot a good place to work in 2026?+

HubSpot is a reasonable place to work if you value remote-first flexibility, predictable benefits, and a learning-focused environment, but the 3.4 Glassdoor and 55% recommend rate reflect real strain at scale. The company still has psychological safety, transparency norms, and internal mobility. However, if you're seeking cutting-edge AI work, FAANG-level compensation, or a startup pace, HubSpot may not be the best fit. It's a mature public SaaS company under enterprise sales pressure — stable, but the Culture Code reputation no longer fully reflects day-to-day reality. Check our [comparison tool](https://jobsbyculture.com/compare?a=hubspot) to see how HubSpot stacks up against your other options.

### Browse all 13,906 jobs from 118 companies

Culture-first job search. Filter by values, WLB, and company culture.

[See HubSpot Jobs →](https://jobsbyculture.com/jobs?company=hubspot) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Hugging Face in 2026: Culture, Compensation & Open-Source DNA

# Working at Hugging Face in 2026: Culture, Compensation & Open-Source DNA

> Working at Hugging Face in 2026: ~635 employees, 4.4 Glassdoor rating, remote-first culture, open-source DNA, and what employees actually say about the canonical AI company.

Source: https://jobsbyculture.com/blog/working-at-huggingface-2026
Markdown: https://jobsbyculture.com/blog/working-at-huggingface-2026.md
Last updated: 2026-07-14

---
[Hugging Face](https://jobsbyculture.com/companies/huggingface) is the company that made open-source AI accessible to everyone. Founded in 2016 in Paris by Clément Delangue (CEO), Julien Chaumond (CTO), and Thomas Wolf (CSO), it started as a chatbot app before pivoting into what it is today: the GitHub of machine learning. The Hugging Face Hub hosts over 1 million models, 250,000+ datasets, and thousands of Spaces — and the Transformers library has become the default way researchers and engineers interact with state-of-the-art AI models.

Valued at approximately $4.5 billion after a Series D backed by Google, Amazon, Nvidia, Salesforce, and Intel, Hugging Face occupies a unique position in the AI landscape. It is not building a frontier model. It is not selling API credits. It is building the infrastructure and community that makes all of AI more open. That mission shapes everything about what it is like to work there.

We pulled data from Hugging Face's [company profile](https://jobsbyculture.com/companies/huggingface), Glassdoor reviews, and public information to give you an honest picture of Hugging Face as an employer in 2026. If you are considering joining — or just curious about what working at the canonical open-source AI company feels like — here is what you need to know.

## Hugging Face at a Glance

Founded

2016

Headquarters

New York, NY (originally Paris)

Founders

Clément Delangue, Julien Chaumond, Thomas Wolf

Company Size

~635 employees

Valuation

~$4.5B

Glassdoor Rating

4.4 / 5.0 (40 reviews)

Work-Life Balance

4.1 / 5.0

Recommend to Friend

86%

Work Model

Remote-first, 30+ countries

Culture Values

[Open-Source](https://jobsbyculture.com/values/open-source), [Flat](https://jobsbyculture.com/values/flat), [Remote](https://jobsbyculture.com/values/remote), [Flex Hours](https://jobsbyculture.com/values/flex-hours), [Transparent](https://jobsbyculture.com/values/transparent), [Many Hats](https://jobsbyculture.com/values/many-hats), [Async](https://jobsbyculture.com/values/async)

Hugging Face is a genuinely different kind of AI company. In an industry dominated by closed models, massive compute budgets, and aggressive commercialization, Hugging Face bets on openness. Among the companies in our [Culture Directory](https://jobsbyculture.com/companies), it stands out for the density of culture values it embodies: [open-source](https://jobsbyculture.com/values/open-source), [remote-first](https://jobsbyculture.com/values/remote), [flat hierarchy](https://jobsbyculture.com/values/flat), [async communication](https://jobsbyculture.com/values/async), and [flexible hours](https://jobsbyculture.com/values/flex-hours). Very few companies at any stage credibly check that many boxes.

## What Makes Hugging Face's Culture Different

The defining characteristic of Hugging Face is that open-source is not a strategy — it is the company's identity. The Transformers library has 130,000+ GitHub stars. The Hub is the place where researchers upload their models and datasets. Spaces lets anyone deploy ML demos in minutes. Everything the company builds is designed to lower barriers and make AI more accessible. If you work here, your code ships to an audience of millions of researchers and developers worldwide.

This open-source DNA creates a culture that feels more like a research collective than a typical startup. Engineers contribute to public repositories. Discussions happen in the open on GitHub issues and pull requests. There is no walled garden. The community is not separate from the product — it is the product. For engineers who care about impact measured in adoption rather than revenue, this is rare and powerful.

The second defining trait is the [flat hierarchy](https://jobsbyculture.com/values/flat). At ~635 people, Hugging Face has remarkably few management layers. Individual contributors have direct access to leadership, including the founders. Clément Delangue is known for being active on social media and accessible internally. Thomas Wolf, the CSO and the person behind the original Transformers library, remains deeply involved in technical direction. There is no corporate layer between you and the people making decisions.

Employee Pro "Incredibly flat organization — you can talk to anyone, including the founders, without going through layers of management"

The third pillar is [remote-first](https://jobsbyculture.com/values/remote) work. Hugging Face has employees distributed across 30+ countries. While there are offices in New York and Paris, the majority of the team works remotely. The culture is built around [async communication](https://jobsbyculture.com/values/async) — Slack, GitHub, and documents rather than synchronous meetings. Time zones are respected. This is not a company that went remote during COVID and is slowly pulling people back to the office. Remote is baked into how the company operates.

The flip side of all this openness and flatness is that direction can feel decentralized. Multiple reviewers note that with so much autonomy, it is not always clear what the top priorities are. In a traditional company, a PM hands you a roadmap. At Hugging Face, you often have to figure out what matters most and advocate for it yourself. This is liberating for self-directed people and disorienting for those who want clear top-down guidance.

Employee Con "Direction can feel scattered — with so many autonomous teams, it's not always obvious what the company's top priorities are"

## Glassdoor Ratings Breakdown

Hugging Face's overall Glassdoor rating of 4.4 out of 5.0, based on 40 employee reviews, places it among the top-rated companies in our [directory](https://jobsbyculture.com/companies). The small review count means each review carries more weight, but the consistency of the feedback is striking: employees genuinely like working here. The 86% recommend-to-friend rate confirms the overall sentiment.

Here is how each sub-category breaks down:

Overall Rating 4.4

Career Opportunities 4.4

Culture & Values 4.3

Work-Life Balance 4.1

Compensation & Benefits 3.9

The pattern tells an interesting story. Career Opportunities ties with the overall rating at 4.4 — employees see real growth potential at this stage of the company. Culture & Values at 4.3 reflects the genuine alignment between what Hugging Face says it stands for and how it actually operates. Work-Life Balance at 4.1 is strong, reflecting the [flexible hours](https://jobsbyculture.com/values/flex-hours) and async culture. The notable outlier is Compensation & Benefits at 3.9 — the lowest sub-score and the area where Hugging Face's trade-offs become most visible.

## What Employees Actually Say

We analyzed recurring themes across Hugging Face's Glassdoor reviews. The sample is smaller than what you would find for a company like [Stripe](https://jobsbyculture.com/companies/stripe) or [Databricks](https://jobsbyculture.com/companies/databricks), but the themes are remarkably consistent.

### What employees love

Employee Pro "Mission-driven open-source culture — your work is used by millions of researchers and developers worldwide"

Employee Pro "True remote-first with flexible hours — no performative butts-in-seats culture"

Employee Pro "Flat hierarchy where ICs have real influence — you can shape the direction of your team and the company"

Employee Pro "Working alongside some of the best ML researchers and engineers in the world"

The theme is clear: people join Hugging Face because they believe in the mission, and they stay because the culture matches the promise. The open-source impact is tangible — you can see your work being cited in papers, used in production systems, and discussed on Twitter and Hacker News. For engineers who have spent careers building internal tools that nobody outside the company will ever see, this is a refreshing change.

### What could be better

Employee Con "Compensation is below market compared to frontier AI labs — you're trading salary for mission and flexibility"

Employee Con "So much autonomy that priorities can be unclear — requires strong self-direction to be effective"

Employee Con "Growing pains as the company scales — processes that worked at 100 people don't always work at 400"

Employee Con "Remote-first means less spontaneous collaboration — you have to be intentional about building relationships"

The cons center on two themes: (1) compensation is the biggest gap, with multiple reviewers noting that Hugging Face pays less than competitors like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai), and (2) the extreme autonomy that makes the culture great also creates ambiguity about priorities and direction. The growing pains are typical of a company moving from startup to mid-stage — figuring out how to maintain the flat, open culture while adding the structure needed at 400+ people.

## Compensation & Benefits

This is the section where honesty matters most. Hugging Face's 3.9 Glassdoor rating for Compensation & Benefits is its weakest sub-score, and the reviews confirm what the number suggests: if you are optimizing purely for total comp, Hugging Face is probably not your best option.

3.9 / 5

Comp & Benefits Rating

86%

Recommend to Friend

~$4.5B

Valuation

Frontier AI labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) and [OpenAI](https://jobsbyculture.com/companies/openai) offer total comp packages that can reach $400k–$550k+ for senior engineers. Hugging Face, as an open-source platform company rather than a model lab, does not match those numbers. Compensation is competitive for a company of its size and stage, but the gap is real and reviewers are upfront about it.

The counter-argument — and it is one that employees make frequently — is that you are not just trading dollars. You are getting: genuine remote flexibility across 30+ countries, a 4.1 work-life balance score, the chance to work on code that millions of people use, and equity in a company valued at $4.5 billion with significant strategic investors. For people who have done the high-comp grind at a FAANG or frontier lab and burned out, the Hugging Face package can represent a better overall deal — even if the number on the paycheck is lower.

Benefits include standard startup offerings: health coverage, equity, and the flexibility to work from wherever you want. The remote-first model also means you can live somewhere with a lower cost of living and keep more of your salary. A senior engineer earning $250k while living in Lisbon or Austin has a very different financial reality than one earning $400k in San Francisco.

## Engineering Culture & Open-Source Contributions

If Hugging Face's engineering culture could be summarized in one phrase, it would be: build in the open. This is a company where your GitHub profile is your portfolio, your PRs are reviewed by the community as much as by colleagues, and your impact is measured in downloads and citations rather than OKRs.

### Core Open-Source Projects

Transformers Diffusers Datasets Tokenizers Accelerate PEFT TRL Gradio

The Transformers library is the crown jewel — 130,000+ GitHub stars, support for PyTorch, TensorFlow, and JAX, and compatibility with virtually every major model architecture. But the ecosystem extends far beyond that. Diffusers powers image generation workflows. Datasets standardizes how ML data is loaded and processed. Tokenizers provides blazing-fast tokenization in Rust. Accelerate simplifies distributed training. PEFT enables parameter-efficient fine-tuning. TRL handles reinforcement learning from human feedback. Gradio (acquired by Hugging Face) lets anyone build ML demos in minutes.

### How engineering works at Hugging Face

-   **Build in the open.** Most engineering work happens on public GitHub repositories. This means your code is visible to the community from day one. Issues, PRs, and design discussions are public. This creates accountability and quality pressure that no internal code review process can replicate.
-   **Community-driven priorities.** What the community needs directly influences what gets built. If thousands of users are requesting a feature, that carries real weight in prioritization. Engineers are expected to engage with the community — responding to issues, reviewing external PRs, and participating in discussions.
-   **High autonomy, low process.** There is no heavy project management layer. Engineers have significant freedom to choose what they work on and how they approach problems. This is the [many-hats](https://jobsbyculture.com/values/many-hats) culture in action — you might write code, review a community PR, draft documentation, and help debug a user's issue all in the same day.
-   **Research meets production.** Hugging Face sits at the intersection of ML research and production engineering. New papers often get implemented in Transformers within days of publication. Engineers need to be comfortable reading papers, understanding architectures, and translating research into clean, maintainable code.

The engineering blog at [huggingface.co/blog](https://huggingface.co/blog?ref=jobsbyculture.com) is excellent and gives you a real sense of the technical depth. If you find yourself reading posts about quantization methods, model parallelism, or efficient attention mechanisms and thinking "I want to work on this" — that is a strong signal of fit.

## Who Thrives at Hugging Face

Hugging Face is not for everyone, and the people who thrive there share specific characteristics. Based on the culture signals and employee feedback, here is who tends to do well:

-   **Open-source believers.** If you genuinely care about making AI accessible and open, you will feel deeply aligned with the mission. If open-source is just a resume bullet point to you, the culture will not click. The people who thrive here are the ones who were already contributing to open-source projects before they joined.
-   **Self-directed operators.** The [flat hierarchy](https://jobsbyculture.com/values/flat) and high autonomy mean nobody is going to give you a detailed task list every morning. You need to identify what matters, propose solutions, and drive them forward. If you need clear direction and defined sprints to be productive, consider a more structured environment like [Databricks](https://jobsbyculture.com/companies/databricks) or [Stripe](https://jobsbyculture.com/companies/stripe).
-   **People comfortable working in public.** Your code, your discussions, and your contributions are visible to the world. This is thrilling for some and terrifying for others. If the idea of a random PhD student in Tokyo filing an issue on your PR fills you with dread, this might not be the right fit.
-   **ML-curious engineers.** You do not need a PhD to work at Hugging Face, but you do need genuine curiosity about machine learning. The ecosystem moves fast, new model architectures drop weekly, and you are expected to keep up. A strong software engineering background combined with ML curiosity is the ideal combination.
-   **Remote workers who are intentional about communication.** The [async](https://jobsbyculture.com/values/async), distributed culture requires you to over-communicate in writing, be proactive about building relationships across time zones, and manage your own schedule. If you thrive in async, text-based collaboration, this is one of the best environments in tech.

Hugging Face is _not_ ideal for people who want top-of-market compensation above all else — frontier labs pay more. It is also not ideal for people who want clear, top-down direction and structured career ladders. The flip side is that if you value mission, flexibility, open-source impact, and a genuinely flat culture, very few companies in AI offer what Hugging Face does. If [work-life balance](https://jobsbyculture.com/values/wlb) and remote flexibility are priorities, companies like [Notion](https://jobsbyculture.com/companies/notion), [Linear](https://jobsbyculture.com/companies/linear), or [PostHog](https://jobsbyculture.com/companies/posthog) are also worth exploring.

## Open Positions at Hugging Face

Hugging Face currently has **7 open positions** listed on our platform. The company hires selectively — at ~635 people, every hire matters. Roles span engineering, ML research, developer advocacy, and platform infrastructure. Given the remote-first model, most positions are open to candidates across multiple time zones.

For full details on Hugging Face's open roles, culture values, and side-by-side comparisons with other companies, visit the [Hugging Face culture profile page](https://jobsbyculture.com/companies/huggingface).

## Frequently Asked Questions About Working at Hugging Face

How many employees does Hugging Face have in 2026?+

Hugging Face has approximately 635 employees as of 2026. The company has grown steadily since its founding in 2016, scaling from a small chatbot startup into the central platform for open-source AI. The team is distributed across 30+ countries, with offices in New York and Paris. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

Is Hugging Face remote-friendly?+

Yes. Hugging Face is remote-first with employees distributed across 30+ countries. While the company has offices in New York and Paris, the majority of the team works remotely. The culture emphasizes [async communication](https://jobsbyculture.com/values/async) and [flexible hours](https://jobsbyculture.com/values/flex-hours), making it one of the most distributed AI companies in the industry. See our full list of [remote-friendly companies](https://jobsbyculture.com/values/remote).

What is Hugging Face's Glassdoor rating in 2026?+

Hugging Face has a 4.4 out of 5.0 overall Glassdoor rating based on 40 reviews. Culture & Values scores 4.3/5, Career Opportunities 4.4/5, Work-Life Balance 4.1/5, and Compensation & Benefits 3.9/5. 86% of employees recommend working there. See our [full Hugging Face culture profile](https://jobsbyculture.com/companies/huggingface) for the complete breakdown.

What is Hugging Face's compensation like?+

Compensation at Hugging Face is rated 3.9/5 on Glassdoor — the lowest sub-score in its profile. While competitive for a company of its size and stage, total comp is generally below what frontier AI labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai) offer. The trade-off is mission alignment, open-source impact, genuine remote flexibility, and a significantly better work-life balance (4.1/5). See our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

What is it like to work at Hugging Face as an engineer?+

Engineering at Hugging Face is deeply tied to open-source. Engineers ship code that millions of researchers and developers use directly. The Transformers library alone has 130k+ GitHub stars. The culture is flat, async, and gives engineers significant autonomy. You are expected to be self-directed and comfortable working in the open — PRs, issues, and discussions all happen publicly on GitHub. The engineering blog at [huggingface.co/blog](https://huggingface.co/blog?ref=jobsbyculture.com) gives a real taste of the technical work.

What is Hugging Face's valuation?+

Hugging Face was valued at approximately $4.5 billion after its Series D funding round led by Google, Amazon, Nvidia, and other strategic investors. The company has become the de facto platform for open-source AI, hosting over 1 million models and 250,000+ datasets on its Hub. The strategic investor base — including the three largest cloud providers — reflects the platform's importance to the broader AI ecosystem.

### Explore Hugging Face's open roles

See Hugging Face's 7 open positions alongside jobs from companies like Anthropic, Mistral, Vercel, and more — all with culture context.

[View Hugging Face Jobs →](https://jobsbyculture.com/jobs?company=huggingface) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Intercom in 2026: Culture, Compensation & What Employees Say

# Working at Intercom in 2026: Culture, Compensation & What Employees Say

> Working at Intercom in 2026: ~2,000 employees, 3.9 Glassdoor rating (471 reviews), ships code 180x per day, $250M new funding, and what employees say about the engineering culture and AI-first pivot.

Source: https://jobsbyculture.com/blog/working-at-intercom-2026
Markdown: https://jobsbyculture.com/blog/working-at-intercom-2026.md
Last updated: 2026-07-14

---
Intercom was born in a Dublin apartment in 2011 with a deceptively simple idea: businesses should be able to talk to their customers like humans, not ticket numbers. Fourteen years later, that idea has become a $1B+ platform serving tens of thousands of companies — and in 2026, Intercom is in the middle of its most consequential transformation yet. The company that invented the "messenger bubble" in the bottom-right corner of every SaaS app is now betting its future on Fin, an AI agent designed to handle customer service end-to-end without a human in the loop.

Whether that bet pays off will determine what Intercom looks like in five years. But for engineers and product builders evaluating Intercom as an employer right now, the more immediate question is: what's it actually like to work there? We pulled data from Intercom's [company profile](https://jobsbyculture.com/companies/intercom), employee reviews, and engineering discussions to give you an honest picture. Whether you're evaluating an offer, preparing for interviews, or comparing Intercom against competitors like [Zendesk](https://jobsbyculture.com/companies/zendesk), [HubSpot](https://jobsbyculture.com/companies/hubspot), or [Freshworks](https://jobsbyculture.com/companies/freshworks), here's what you need to know.

## Intercom at a Glance

Founded

2011, Dublin, Ireland

Headquarters

San Francisco + Dublin (dual HQ)

CEO

Eoghan McCabe (co-founder, returned 2023)

Company Size

~2,000 employees

Funding

$250M debt raised Mar 2026

Glassdoor Rating

3.9 / 5.0 (471 reviews)

Work-Life Balance

3.7 / 5.0

Culture & Values

3.7 / 5.0

Recommend to Friend

78%

Deploy Velocity

~180 times per day

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship-Fast](https://jobsbyculture.com/values/ship-fast), [Product Impact](https://jobsbyculture.com/values/product-impact), [Learning](https://jobsbyculture.com/values/learning)

Few companies in our [Culture Directory](https://jobsbyculture.com/companies) have Intercom's particular combination of attributes: founded outside Silicon Valley, still founder-led after 14 years, deploying code 180 times a day, and now in the middle of a genuine AI transformation rather than a cosmetic AI rebrand. Intercom is not a small company anymore — but it's not a legacy enterprise either. It occupies a genuinely interesting middle ground, and that ambiguity is part of what makes it worth understanding before you join.

## The Founder Return: Why Eoghan McCabe Matters

When a co-founder steps back from the CEO role, the usual narrative is that the company has "matured" to the point where it needs a professional operator rather than a visionary. When that founder returns to the helm, it almost always means something went wrong — or something big is about to change. In Intercom's case, it was the latter.

Eoghan McCabe co-founded Intercom with Des Traynor, Ciaran Lee, and David Barrett in Dublin in 2011. He led the company through its early growth years and eventually stepped back from the CEO role in 2023. He returned later that same year, and the reason wasn't hard to read: artificial intelligence was about to make or break every customer service platform in existence, and McCabe apparently decided he was the right person to steer through it.

The Fin AI agent is the clearest articulation of that bet. Where most customer service platforms added AI features as bolt-ons — smarter chatbots, suggested replies, automated routing — Intercom built Fin as the centerpiece. The premise is that AI agents can now resolve the majority of customer queries without escalation, fundamentally changing the economics and the workflow of customer service teams. That's an aggressive claim, and it's creating both opportunity and internal pressure as the company reorganizes around making it true.

For employees, a founder return at a critical strategic moment creates a particular working environment. Decision-making is tighter. The vision is clearer. The founder's fingerprints are on everything from product priorities to hiring decisions to the office policy. If you believe in the direction, that clarity feels energizing. If you're skeptical or prefer more distributed decision-making, it can feel constraining.

Employee Pro "Founder-led company with genuine product vision — you can feel the clarity of purpose in how decisions get made and what gets prioritized"

## Glassdoor Ratings Breakdown

Intercom's 3.9 overall rating based on 471 employee reviews places it solidly in the middle of the pack for B2B SaaS companies — above average but not in the top tier occupied by companies like [Linear](https://jobsbyculture.com/companies/linear) or [Notion](https://jobsbyculture.com/companies/notion). The sub-category breakdown tells a more specific story about where the culture succeeds and where it creates friction.

Overall Rating 3.9

Work-Life Balance 3.7

Culture & Values 3.7

Career Opportunities 4.0

The 3.9 overall reflects a company in mid-pivot. Work-Life Balance at 3.7 reflects a company pushing hard on the AI transformation, not one where engineering teams have settled into a steady sustainable rhythm. Culture & Values at 3.7 is below where Intercom historically competed. Career Opportunities at 4.0 is the relative bright spot — consistent with reviews citing growth and learning despite the pivot turbulence. The 78% recommendation rate is solid for a B2B SaaS company in active transformation.

For context, these scores aren't a sign of a broken company. They're the scores of a company mid-pivot, and that matters enormously when interpreting them. A company successfully executing a transformation often sees ratings dip temporarily as organizational change creates friction, before recovering when the new model proves itself. What's less certain is which side of that arc Intercom is currently on.

## The 180 Deploys a Day Story

Here's a number that is genuinely unusual: Intercom ships code to production approximately 180 times per day. Not per week. Per day. Across the entire engineering organization, that translates to roughly one deployment every eight minutes around the clock.

This isn't a vanity metric. Shipping velocity at this level requires a specific type of engineering infrastructure and culture that is genuinely difficult to build and maintain at Intercom's scale. It means the CI/CD pipeline is mature and trusted. It means engineers have strong testing practices because any given deploy needs to be safe enough to push with confidence. It means the culture has internalized small, incremental changes over big-bang releases — which is a harder discipline to maintain than it sounds, especially as product ambitions grow.

For engineers who are drawn to [shipping fast](https://jobsbyculture.com/values/ship-fast) as a cultural value, this number is a genuine differentiator. It means your code reaches customers quickly. It means feedback loops are short. It means you'll spend more time writing code that matters and less time waiting for a quarterly release window. Among the companies in our [directory](https://jobsbyculture.com/companies), very few can match this kind of deploy frequency at Intercom's scale.

180x

Code deploys per day

14 yrs

Founder-led tenure

650

Planned global hires

The 180 deploys a day also tells you something about how the engineering organization is structured. High-frequency deployment is only possible when teams have real autonomy over their domains, when testing is fast and reliable, and when engineers aren't waiting for approvals from multiple layers of management before pushing to production. It's an engineering culture that trusts its people — and that trust is, in part, how the company has maintained an active, respected engineering blog despite all the strategic turbulence.

## Engineering Culture & the IC/Manager Pendulum

Intercom's engineering culture has several distinctive characteristics that set it apart from both larger enterprise software companies and smaller startups. The most interesting is the "pendulum" model for career development — the idea that engineers don't have to make a permanent choice between the individual contributor (IC) track and the engineering manager (EM) track. You can swing between them over the course of a career, and the organization is structured to support that movement without treating it as a demotion or a lateral.

This matters more than it might seem. At most tech companies, once you become a manager, returning to IC work carries an implicit stigma or at least a significant career setback. The pendulum model removes that pressure, which means the engineers who become managers do so because they're genuinely energized by the work of management — not because it's the only path to advancement. And the managers who return to IC roles come back with a perspective on organizational dynamics that makes them better collaborators and tech leads.

### Engineering stack and focus areas

Ruby on Rails React TypeScript Ember.js PostgreSQL Kafka

Intercom's engineering blog, which has been active and respected in the industry for years, covers a range of topics from distributed systems architecture to frontend performance to the challenges of building AI-native features into an existing product. The blog is a genuine signal of engineering culture — companies that invest in public engineering writing tend to have teams that think carefully about their work and take pride in sharing what they learn. It also attracts engineers who read and think broadly, creating a self-reinforcing culture of intellectual engagement.

The current engineering focus is squarely on Fin. Building an AI agent that actually resolves customer queries — not just deflects them — requires solving hard problems in natural language understanding, knowledge retrieval, action execution, and safety. Engineers working on Fin are dealing with real AI agent infrastructure challenges, not just integrating a third-party LLM API and calling it an AI product.

## What Employees Actually Say

Employee reviews of Intercom in 2026 reflect a company that has a clear split between people who are energized by the AI transformation and people who feel the organizational turbulence that comes with major strategic change. Here's the pattern that emerges:

### What employees love

Employee Pro "Exceptional engineering culture — the ship velocity is real, 180 deploys a day is not an exaggeration, and the engineering blog reflects genuine intellectual depth"

Employee Pro "The Fin AI product is genuinely interesting to work on — real AI agent infrastructure, not a chatbot wrapper. First-principles product thinking."

Employee Pro "IC/manager pendulum is real and valued — you can move between tracks without stigma, which creates a healthier management culture"

Employee Pro "Dublin roots still show in the culture — collaborative, direct, with less of the performative hustle you find at some Bay Area companies"

### What could be better

Employee Con "Hybrid 3-days-in-office is a step back from what the company offered before — the flexibility that made Intercom attractive has been rolled back"

Employee Con "Sabbatical perk removed — a perk that was part of the culture deal when many people joined is gone, and that erodes trust"

Employee Con "Compensation is mid-market for a company of this profile — $130k–$230k range doesn't compete with top AI companies paying significantly more"

Employee Con "Organizational uncertainty during the AI pivot — direction is clear but the journey is bumpy, and team structures have shifted"

The con pattern tells a coherent story: Intercom has made decisions in the last two years that reduced flexibility and removed benefits in the name of executing the AI transformation. The 3-days-in-office mandate and the elimination of the sabbatical perk are both cited repeatedly. For people who joined Intercom partly because of those attributes, the change feels like a broken commitment. For people evaluating Intercom fresh today, these are simply the current terms of employment — which is why it matters to read recent reviews rather than relying on Intercom's reputation from two or three years ago.

## Compensation & Benefits

Intercom's compensation is competitive for a mid-market SaaS company but sits below the top tier of AI-native companies that have become salary benchmarks in the last two years. Engineering roles range from approximately $130,000 to $230,000 in total cash, with equity on top for most positions. The 3.9 employee rating for Compensation & Benefits is respectable but not a differentiator.

In March 2026, Intercom raised $250 million in debt financing — a significant capital event that provides runway for the planned 650 global hires and continued investment in Fin development. Debt financing at this level typically signals that leadership has strong conviction in near-term revenue growth without wanting to dilute equity through another venture round. For employees, it means the company has capital to execute, which is more important in a period of transformation than it might seem. Running out of runway mid-pivot is how promising strategic bets fail.

The removal of the sabbatical perk stands out in the benefits picture. Intercom had historically offered a paid sabbatical to long-tenured employees — a meaningful benefit that attracted people who valued sustainability and career longevity. Its removal as part of the post-pandemic, AI-pivot operational tightening was widely noticed. Benefits changes like this rarely happen in isolation; they typically reflect broader shifts in how leadership thinks about employee relationships and the implicit contract of employment.

For context on how Intercom's comp compares to the broader market, use our [comparison tool](https://jobsbyculture.com/compare) to see Intercom side-by-side with [HubSpot](https://jobsbyculture.com/companies/hubspot), Zendesk, or [Salesforce](https://jobsbyculture.com/companies/salesforce) on culture metrics and compensation signals.

## The Office Policy Reality

Let's be direct about something that matters to anyone evaluating Intercom: this is not a remote company. The current policy requires employees to be in the office three days per week. For candidates who prioritize flexibility, this is a dealbreaker worth knowing before you invest time in an interview process.

Intercom has offices in San Francisco, Dublin, London, Chicago, and Sydney. The three-days-in-office policy applies broadly, and the move toward it represents a meaningful shift from the company's more flexible posture during the pandemic era and early post-pandemic period. The shift is consistent with broader industry trends — many companies that went flexible in 2020–2022 have gradually reintroduced office requirements since 2023 — but it's still a real change in the employee experience.

The push for more in-person work is philosophically coherent with the AI pivot: when you're building something genuinely new and technically complex, the collaboration density of in-person work has real advantages. But the coherence of the rationale doesn't make the policy easier for employees who built their lives around a more flexible arrangement. If location flexibility matters to you, browse the [remote-friendly companies in our directory](https://jobsbyculture.com/values/remote) as an alternative.

## Who Thrives at Intercom

Based on the culture signals, employee reviews, and Intercom's current strategic position, here's who tends to do well there in 2026:

-   **Engineers energized by AI-native product work.** If you want to work on real AI agent infrastructure — not just call an API and ship a feature — Fin is a genuinely interesting technical problem. The challenge of building an AI that actually resolves customer queries, not just deflects them, involves hard problems in context management, reliability, knowledge retrieval, and action safety. Engineers who want to be on the frontier of this work will find Intercom compelling.
-   **People who thrive with founder-led clarity.** Eoghan McCabe's return means there is a clear, singular vision for where the company is going. If you like knowing what you're optimizing for without having to navigate political ambiguity about strategic direction, that clarity is a genuine benefit. The trade-off is that founder-led companies often have less room for internal dissent about the top-level direction.
-   **Engineers who measure themselves by velocity.** The [180 deploys a day](https://jobsbyculture.com/values/ship-fast) metric isn't just a curiosity — it reflects a culture that rewards engineers who ship frequently over engineers who ship perfectly once a quarter. If your satisfaction comes from seeing your code in production quickly and iterating based on real user feedback, Intercom's engineering infrastructure is built for you.
-   **People who value IC/manager career flexibility.** The pendulum model is genuinely rare. If you're an experienced engineer who is uncertain whether you want to move into management or stay on the IC path, Intercom's explicit support for movement between the two tracks reduces the stakes of that decision considerably.
-   **People based in or willing to relocate to SF, Dublin, London, Chicago, or Sydney.** The 3-days-in-office requirement is real. If you live in or near one of these cities and are comfortable with hybrid work, this is simply the terms of the job. If you're remote and plan to stay remote, look elsewhere.

Intercom is _not_ the right fit for people who need strong work-life balance guarantees — the 3.7 WLB score and the demands of executing an AI pivot in a competitive market mean the pace is real. It's also not the right fit for people motivated primarily by compensation, since the $130k–$230k engineering range is mid-market compared to frontier AI companies. If compensation is your top priority, consider companies like [Anthropic](https://jobsbyculture.com/companies/anthropic), OpenAI, or [Databricks](https://jobsbyculture.com/companies/databricks) instead. If you want customer-facing product work at a SaaS company with more established WLB culture, [HubSpot](https://jobsbyculture.com/companies/hubspot) is worth comparing.

## The Bigger Picture: Intercom's Bet on AI

It's impossible to evaluate Intercom as an employer in 2026 without acknowledging the size of the strategic bet the company is making. Customer service is a massive market — billions of dollars in software, millions of human agents worldwide — and Intercom is arguing that Fin can automate a meaningful fraction of that work. If that bet is right, Intercom's growth trajectory from here is compelling. The $250M debt raise suggests investors and lenders believe in the direction.

But the bet is also risky in ways that matter for employees. Companies betting on AI transformation are making assumptions about where the technology will be in 12, 24, and 36 months. They're building products that depend on AI capabilities improving along particular dimensions. And they're competing with companies — Salesforce, Zendesk, Freshworks, and a cohort of AI-native startups — who are making similar bets with significant resources.

For engineers considering joining Intercom now, this is actually a meaningful signal. If you believe AI agents will fundamentally change customer service — and there's strong evidence pointing in that direction — then joining Intercom is joining a company at the start of a big wave. The 650 planned hires suggest real growth, not just replacement hiring. And 14 years of customer data, relationships, and platform infrastructure give Intercom genuine advantages that a two-year-old AI startup cannot replicate quickly.

## Open Positions at Intercom

Intercom is actively hiring across engineering, product, and go-to-market roles as part of its planned 650-person global expansion. If the velocity, the Fin AI agent work, and the founder-led culture described in this post resonate with you, Intercom is worth a serious look — especially for engineers who want to work on AI-native product infrastructure at a company with over a decade of platform credibility.

For full details on Intercom's open roles, culture values, and side-by-side comparisons with other companies, visit the [Intercom culture profile page](https://jobsbyculture.com/companies/intercom) or [browse all Intercom jobs](https://jobsbyculture.com/jobs?company=intercom).

## Frequently Asked Questions About Working at Intercom

How many employees does Intercom have in 2026?+

Intercom has approximately 2,000 employees globally as of 2026. The company is actively expanding with plans to hire 650 roles globally as part of its AI-first growth strategy. Intercom has offices in San Francisco, Dublin (where it was founded in 2011), London, Chicago, and Sydney. See our [full Intercom culture profile](https://jobsbyculture.com/companies/intercom) for current headcount context.

What is Intercom's Glassdoor rating?+

Intercom has a 3.9 out of 5.0 overall Glassdoor rating based on 471 employee reviews. Sub-scores: Work-Life Balance 3.7/5, Culture & Values 3.7/5, and Career Opportunities 4.0/5. 78% of employees recommend working there. The scores reflect a company mid-transformation — executing a major AI pivot while maintaining a 3-days-in-office hybrid policy. See our [Intercom culture profile](https://jobsbyculture.com/companies/intercom) for the full breakdown.

What is Intercom's engineering culture like?+

Intercom's engineering culture is built around extraordinary shipping velocity — approximately 180 code deploys to production per day. Engineers work on the Fin AI agent platform, live chat infrastructure, automation, and help desk products. The IC/manager pendulum model lets engineers move between individual contributor and management tracks without stigma. Intercom's [engineering blog](https://jobsbyculture.com/values/eng-driven) is active and well-regarded in the industry. Teams value [fast iteration](https://jobsbyculture.com/values/ship-fast) over perfect planning.

Does Intercom allow remote work?+

Intercom is not a remote-first company. It operates a hybrid policy requiring employees to be in the office 3 days per week. The company has moved toward a more structured in-office model as part of its AI-pivot execution. If remote flexibility is a priority for you, browse our [remote-friendly company directory](https://jobsbyculture.com/values/remote) for alternatives.

What is Intercom's compensation like?+

Engineering roles at Intercom range from approximately $130,000 to $230,000. Compensation & Benefits is rated 3.9/5 by employees — competitive for mid-market SaaS but below the top quartile for AI companies. In March 2026, Intercom raised $250M in debt financing, providing capital for its planned 650 global hires. Note that the sabbatical perk previously offered to long-tenured employees has been removed.

Who is Intercom's CEO?+

Eoghan McCabe is Intercom's CEO. He co-founded the company in Dublin in 2011 and served as CEO until 2023 when he stepped back. He returned to lead the company through its AI-first pivot later that year, making him a rare example of a co-founder returning to lead a company through a major strategic transformation. His return has sharpened Intercom's focus on Fin, the AI customer service agent at the center of the company's current strategy.

What is Intercom's Fin AI agent?+

Fin is Intercom's AI customer service agent — the company's flagship AI product and the center of its current growth strategy. Unlike chatbot add-ons, Fin is designed to handle customer service queries end-to-end, reducing or eliminating the need for human escalation on routine issues. It's built on Intercom's 13+ years of customer service data and workflow infrastructure. Fin represents Intercom's core AI-first bet, and it is the primary driver behind the $250M fundraise in March 2026 and the 650 planned hires. Engineers working at Intercom today are predominantly building and scaling Fin.

Is Intercom a good place to work?+

Intercom is a strong fit for engineers who want to [ship fast](https://jobsbyculture.com/values/ship-fast), work on real AI agent infrastructure, and operate in a founder-led company with clear product direction. The 180 deploys/day is a genuine differentiator. Trade-offs include a hybrid 3-days-in-office requirement, mid-market salary, and the removal of the sabbatical perk. The 78% recommendation rate and 3.9 Glassdoor are solid for a company executing a major AI transformation. Best for engineers energized by the Fin AI direction who can commit to the office policy and are willing to accept some organizational turbulence as part of an exciting transformation. See our [full Intercom profile](https://jobsbyculture.com/companies/intercom) for more context.

### Explore Intercom jobs with culture context

See Intercom's open roles alongside jobs from companies like HubSpot, Salesforce, Zendesk, and more — all with culture data and employee reviews.

[View Intercom Profile →](https://jobsbyculture.com/companies/intercom) [Browse Intercom Jobs →](https://jobsbyculture.com/jobs?company=intercom)

---

## Document: Working at LangChain in 2026: Open-Source Unicorn, Culture & What Developers Say

# Working at LangChain in 2026: Open-Source Unicorn, Culture & What Developers Say

> Working at LangChain in 2026: ~280 employees, $1.25B valuation, 100k+ GitHub stars, and what it

Source: https://jobsbyculture.com/blog/working-at-langchain-2026
Markdown: https://jobsbyculture.com/blog/working-at-langchain-2026.md
Last updated: 2026-07-14

---
[LangChain](https://jobsbyculture.com/companies/langchain) is one of the most improbable success stories in the AI boom. What started as a weekend open-source project by Harrison Chase in October 2022 is now a $1.25 billion company with 100,000+ GitHub stars and a framework that has become the default starting point for building LLM-powered applications. If you’ve built anything with GPT-4, Claude, or Gemini in the last two years, there’s a good chance LangChain was somewhere in your stack.

But behind the GitHub stars and the unicorn valuation, what is it actually like to work there? We looked at LangChain’s [company profile](https://jobsbyculture.com/companies/langchain), RepVue reviews, open-source activity, and community sentiment to give you an honest picture of LangChain as an employer in 2026 — including its hypergrowth through 2025 (from ~50 to ~280 employees) and what that pace means for the people inside.

## LangChain at a Glance

Founded

October 2022

Headquarters

San Francisco, CA (remote-first)

Founder & CEO

Harrison Chase

Company Size

~280 employees (up from ~50 at start of 2025)

Valuation

$1.25B (Series B, Oct 2025)

Total Funding

$260M

RepVue Rating

4.6 / 5.0 (~15 reviews)

Work-Life Balance

4.0 / 5.0

Open Roles

88 positions

Culture Values

[Open Source](https://jobsbyculture.com/values/open-source), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Remote](https://jobsbyculture.com/values/remote), [Many Hats](https://jobsbyculture.com/values/many-hats), [Product Impact](https://jobsbyculture.com/values/product-impact), [Flat](https://jobsbyculture.com/values/flat)

LangChain has scaled hard through 2025. At approximately 280 employees today — up from around 50 at the start of 2025 — it has roughly the same headcount as [Linear](https://jobsbyculture.com/companies/linear) or [Mistral](https://jobsbyculture.com/companies/mistral), but its [open-source](https://jobsbyculture.com/values/open-source) framework is used by millions of developers worldwide. That ratio of team size to impact is nearly unmatched in the AI ecosystem. It also means that every engineer at LangChain is working on something that real people use, today, at scale.

## The Accidental Unicorn

LangChain’s origin story is the stuff of startup legend — except it didn’t start as a startup at all. In October 2022, Harrison Chase was an ML engineer at Robust Intelligence, a model validation company. ChatGPT hadn’t launched yet, but Chase was already experimenting with chaining LLM calls together for complex tasks. He open-sourced his experiments as a Python library. He called it LangChain.

The timing was perfect. ChatGPT launched in November 2022 and the world went LLM-crazy. Developers needed a way to build applications on top of these models — retrieval-augmented generation, tool use, multi-step reasoning, memory. LangChain was already there. The repo went from a few hundred stars to tens of thousands in weeks. By early 2023, it was the most-starred AI repository on GitHub.

The funding followed quickly. A $10M seed round. Then a $25M Series A from Sequoia. Then $125M in a Series B led by IVP with Sequoia and Benchmark, valuing the company at $1.25 billion. In roughly two years, Harrison Chase went from tinkering on a side project to running a unicorn. It’s one of the fastest B2B AI journeys ever — and it happened almost entirely because he shipped the right open-source tool at the right moment.

100k+

GitHub Stars

$1.25B

Valuation

2 yrs

Side Project to Unicorn

## What LangChain Builds

LangChain’s product suite has matured significantly since the early “chain everything together” days. Today, the company ships three core products:

-   **LangChain (open-source).** The original framework for building LLM applications. Provides abstractions for prompt templates, chains, agents, memory, retrieval, and tool use. Available in Python and JavaScript/TypeScript. This is what 100k+ stars are built on.
-   **LangGraph.** A framework for building stateful, multi-actor agent workflows. While LangChain handles single chains, LangGraph handles complex agentic systems with branching logic, human-in-the-loop, and persistent state. This is where the cutting edge of AI engineering lives.
-   **LangSmith.** The commercial product. An observability, testing, and evaluation platform for LLM applications. Think Datadog for AI — tracing, debugging, regression testing, and prompt management. This is how LangChain makes money.

The business model is classic open-source-commercial: give away the framework that developers love, then sell the enterprise tooling they need to run it in production. LangSmith is where the revenue comes from, and the commercial product has real enterprise traction. The open-source layer creates distribution that would cost hundreds of millions in marketing to replicate.

## Open-Source Culture: The Real Deal

A lot of companies claim to be “open-source.” LangChain actually is. The core framework is MIT-licensed. Development happens in public on GitHub. Issues, PRs, and design discussions are visible to anyone. Harrison Chase still commits code regularly. This is not “open-source washing” where a company publishes a repo and calls it a day — LangChain’s open-source repositories are the beating heart of the business.

What does that mean for engineers who work there? A few things that are genuinely different from most companies:

-   **Your code is public.** Every PR you open, every design decision you make — it’s reviewed not just by your teammates but by a global community of developers. The feedback loop is immediate and unfiltered. This is exhilarating for some engineers and anxiety-inducing for others.
-   **Community-driven priorities.** Feature requests, bug reports, and architectural debates happen in public GitHub issues. The community has real influence on the roadmap. Engineers at LangChain don’t just build for a product manager’s spec — they build for millions of developers who are vocal about what they need.
-   **GitHub-native workflow.** The development process is built around GitHub. Async communication, PR-based collaboration, public changelogs. If you’re the kind of developer who lives in GitHub, this is your natural habitat.
-   **Impact at scale.** When you ship a feature to LangChain, it’s not behind a paywall or a sales cycle. It’s available to every developer on the planet the moment it merges. That kind of [product impact](https://jobsbyculture.com/values/product-impact) is rare, and it’s a huge draw for engineers who care about building tools that matter.

Employee Pro "Working in open-source means your impact is visible and immediate — millions of developers use what you build"

## RepVue & Employee Sentiment

LangChain has a 4.6 out of 5.0 RepVue rating, which is among the highest in our [Culture Directory](https://jobsbyculture.com/companies). But an important caveat: this is based on only ~15 reviews. At that sample size, individual reviews have an outsized effect on the score. A single disgruntled ex-employee or a burst of positive reviews from new hires can swing the number significantly.

That said, the signal we do have is genuinely positive. Here are the ratings we can report:

Overall Rating 4.6

Work-Life Balance 4.0

A 4.0 work-life balance score is solid for a fast-moving Series B startup growing at 5x year-over-year. For comparison, [Stripe](https://jobsbyculture.com/companies/stripe) scores 3.6 on WLB, and [Scale AI](https://jobsbyculture.com/blog/working-at-scale-ai-2026) scores 3.2. LangChain’s GitHub-native async workflow appears to help here — though the low review count means we should hold this number loosely.

What the limited reviews tell us:

Employee Pro "Small team, massive impact — you can see your work being used by thousands of developers within days"

Employee Pro "Harrison is a technical founder who still writes code and understands the product deeply"

Employee Pro "Strong engineering leadership and a culture that takes open-source contribution and developer experience seriously"

Employee Con "Rapid growth means processes change constantly — what worked last quarter might not work today"

## Hypergrowth & Series B

The most important context for evaluating LangChain as a 2026 employer is the pace of its growth. The company entered 2025 with roughly 50 employees. By mid-2026 it has scaled to approximately 280 — a more than 5x headcount increase in 18 months — and is actively hiring against an even larger plan, with 95 open roles on our platform.

That growth was funded by a **$125M Series B at a $1.25B valuation in October 2025**, led by IVP, with continued backing from Sequoia, Benchmark, and CapitalG. Just as importantly, the round brought in strategic investors that double as enterprise customer pipeline: Datadog, Databricks, ServiceNow Ventures, Workday Ventures, and Cisco Investments. Total funding to date sits at $260M.

What does this hypergrowth mean for someone considering joining today? A few honest observations:

-   **Process is still being built.** At 5x growth in 18 months, the company is hiring faster than its operating processes are formalizing. If you’ve only worked at companies with mature playbooks, expect to be uncomfortable; if you like writing the playbook, this is your environment.
-   **More ownership, fewer guardrails.** Engineers, PMs, and GTM hires all describe meaningful surface area from day one. If you want a [many-hats](https://jobsbyculture.com/values/many-hats) environment with outsized individual impact, this is it. The trade-off: less institutional knowledge to lean on when you’re stuck.
-   **The role you sign for may evolve.** The platform thesis is expanding fast — from the original OSS framework into LangSmith (observability/evaluation) and LangGraph (agent orchestration). Roles often stretch as the product surface grows. People who view that as opportunity rather than scope-creep do well.
-   **Strategic backers translate into real enterprise reach.** Having Datadog, Databricks, ServiceNow, and Workday on the cap table is not just signaling — it means LangChain’s commercial team has unusually warm access to enterprise AI buyers. Go-to-market hires get to skip a lot of the cold-start pain.

Bottom line: LangChain’s 2026 reality is a Series B company growing extremely fast with a clear platform thesis and a well-resourced cap table. The right candidate profile is someone who’s comfortable building structure rather than inheriting it, and who wants to do meaningful work at the agent-engineering frontier before the company is large enough to have specialized everything.

## Tech Stack

Python TypeScript FastAPI React PostgreSQL LLM APIs

LangChain’s core framework is written in Python, with a full JavaScript/TypeScript port (LangChain.js) for the Node.js ecosystem. The LangSmith platform uses FastAPI on the backend, React on the frontend, and PostgreSQL for persistence. Naturally, the entire stack is deeply integrated with every major LLM provider — OpenAI, Anthropic, Google, Cohere, and dozens more.

If you’re an engineer who wants to work at the intersection of developer tooling and AI infrastructure, LangChain’s stack is essentially the canonical version of that intersection. You’re not just using LLM APIs — you’re building the abstractions that millions of other developers use to interact with them.

## Who Thrives at LangChain

Based on the culture signals, the company’s open-source DNA, and the hypergrowth reality, here’s who tends to do well at LangChain:

-   **Open-source enthusiasts.** If you love building in public, engaging with a developer community, and having your work used by millions of people the day it ships — this is your company. If you prefer building proprietary products behind closed doors, look elsewhere.
-   **Self-starters who thrive in ambiguity.** At ~280 people growing fast, there is no army of product managers and project managers buffering you from uncertainty. You’ll need to figure out what matters, scope it yourself, and [ship it fast](https://jobsbyculture.com/values/ship-fast). This is liberating for some and terrifying for others.
-   **Developers who want direct product impact.** LangChain is used by millions. LangGraph is powering the next generation of AI agents. LangSmith is becoming the observability layer for LLM apps. The [product impact](https://jobsbyculture.com/values/product-impact) per engineer is enormous — you’re not building an internal dashboard that 50 people see.
-   **People who want to be at the agent-engineering frontier.** LangChain has positioned itself as the platform for building production AI agents. If you want to work on the infrastructure that powers the next wave of agentic software, this is one of the few teams shipping that work at scale today.
-   **Engineers comfortable with rapid change.** The AI landscape shifts monthly. LangChain’s framework has to evolve with it. If you want stability and a 5-year roadmap, join [Stripe](https://jobsbyculture.com/companies/stripe). If you want to be on the bleeding edge where the framework changes because the underlying technology changes, LangChain is where the action is.

LangChain is _not_ ideal for people who want large-company stability, codified promotion ladders, or a slow-and-steady pace. At Series B with rapid hiring, processes are still forming. Growth comes from taking on bigger problems, not from title bumps. If a formal career progression framework matters to you, consider [Databricks](https://jobsbyculture.com/companies/databricks) or [HubSpot](https://jobsbyculture.com/companies/hubspot) instead.

## Open Roles at LangChain

LangChain currently has **95 open positions** listed on our platform. For a company of ~280 people, that’s a significant hiring push — close to 38% of the current headcount. The roles span engineering (framework, platform, infrastructure), developer relations, product, and go-to-market functions. If the open-source culture and AI-native mission described in this post resonate with you, now is a strong time to apply — the company is investing aggressively in growth on the back of its October 2025 Series B and is building out across multiple product lines.

For full details on LangChain’s open roles, culture values, and side-by-side comparisons with other companies, visit the [LangChain culture profile page](https://jobsbyculture.com/companies/langchain).

## Frequently Asked Questions About Working at LangChain

What is LangChain's employee culture rating?+

LangChain has a 4.6 out of 5.0 rating on RepVue, which is among the highest in our [Culture Directory](https://jobsbyculture.com/companies). The score is based on a limited number of reviews (~15), so it should be interpreted with the caveat that the sample size is small relative to larger companies with thousands of reviews. For comparison, see our [work-life balance rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026).

How many employees does LangChain have?+

LangChain has approximately 280 employees as of mid-2026, up from around 50 at the start of 2025. The company has grown continuously through 2025 and 2026 on the back of its agent-engineering platform thesis (LangChain, LangGraph, LangSmith) and is actively hiring, with 95 open roles. For context across AI companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is LangChain's valuation?+

LangChain is valued at $1.25 billion following its Series B round in October 2025, led by IVP with participation from Sequoia and Benchmark. The company has raised $260M in total funding. LangChain reached unicorn status in roughly two years from its founding — one of the fastest B2B AI journeys in recent history.

Is LangChain remote-friendly?+

LangChain is headquartered in San Francisco and the majority of currently-listed open roles are SF or Bay Area-based, with some remote-eligible roles. The company’s workflow is GitHub-native and async-friendly which supports distributed work structurally, but candidates should check the location field on individual job postings to confirm remote eligibility for their specific role.

What is LangChain's tech stack?+

LangChain’s core framework is written in Python and TypeScript/JavaScript. The commercial product (LangSmith) uses FastAPI, React, and PostgreSQL. The entire stack is deeply integrated with major LLM providers including OpenAI, Anthropic, Google, and Cohere. Engineers work at the intersection of developer tooling and AI infrastructure.

Did LangChain have layoffs?+

No. LangChain has grown continuously through 2025 and 2026, from approximately 50 employees at the start of 2025 to approximately 280 employees today. The company is actively hiring against an expanding agent-engineering platform thesis, with 95 open roles across engineering, product, and go-to-market functions. For broader context on which AI companies are hiring and at what pace, see our [AI hiring tracker](https://jobsbyculture.com/blog/ai-layoffs-2026-who-is-hiring).

### Explore LangChain’s 95 open roles

See LangChain’s open positions alongside jobs from companies like Anthropic, Stripe, Databricks, and more — all with culture context.

[View LangChain Jobs →](https://jobsbyculture.com/jobs?company=langchain) [Full Culture Profile →](https://jobsbyculture.com/companies/langchain)

---

## Document: Working at Linear in 2026: 203 Employees, $100M ARR, Salary & Culture

# Working at Linear in 2026: 203 Employees, $100M ARR, Salary & Culture

> Working at Linear in 2026: 203 employees, $100M ARR, remote-first, estimated 4.3 Glassdoor rating, $205K-$420K engineer comp, and what the deep-work engineering culture is really like.

Source: https://jobsbyculture.com/blog/working-at-linear-2026
Markdown: https://jobsbyculture.com/blog/working-at-linear-2026.md
Last updated: 2026-07-14

---
[Linear](https://jobsbyculture.com/companies/linear) is the project management tool that engineers actually want to use. Founded in 2019 by three Finnish engineers — Karri Saarinen (CEO, ex-Airbnb), Tuomas Artman (CTO, ex-Uber), and Jori Lallo (ex-Coinbase) — Linear set out to replace the sluggish, over-designed issue trackers that development teams had learned to tolerate. Six years later, with $100M in annual recurring revenue, a $1.25 billion valuation, and a fanatical user base of over 10,000 companies, they've done exactly that.

But what makes Linear truly unusual isn't the product — it's the company behind it. With only ~203 employees, Linear generates roughly $560,000 in revenue per head. Their engineering team is just 25 people. They have no standups, no mandatory meetings, and a [deep-work culture](https://jobsbyculture.com/values/deep-work) that treats focus time as sacred. If you're evaluating Linear as an employer, this article breaks down the culture, compensation, trade-offs, and what kind of engineer thrives there.

## Linear at a Glance

Founded

2019

Headquarters

Remote-first (hubs in SF, NYC, Berlin)

Founders

Karri Saarinen, Tuomas Artman, Jori Lallo

Company Size

~203 employees

Revenue

$100M ARR (Jun 2025)

Valuation

$1.25B (Series C, Jun 2025)

Total Funding

$134M

Glassdoor Rating

~4.3–4.5 / 5.0 (est.)\*

Rev per Employee

~$560K

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Remote](https://jobsbyculture.com/values/remote), [Deep Work](https://jobsbyculture.com/values/deep-work), [Ship Fast](https://jobsbyculture.com/values/ship-fast), Flat, Product Impact

\* Linear has limited Glassdoor data due to its small size. Rating is estimated based on available reviews, employee sentiment, and industry signals. See the ratings section below for details.

Among the companies in our [Culture Directory](https://jobsbyculture.com/companies), Linear occupies a rare niche: it's a [genuinely flat organization](https://jobsbyculture.com/blog/flat-hierarchy-tech-companies) where engineers drive the product, the pace is fast but sustainable, and [remote work](https://jobsbyculture.com/values/remote) isn't a perk bolted on — it's the foundation. The revenue-per-employee figure alone tells you something: this is a company that does more with dramatically less.

## What Makes Linear's Culture Different

Linear's culture is, in many ways, the anti-enterprise. Where most companies add process as they grow, Linear actively resists it. The founding team came from Airbnb, Uber, and Coinbase — they'd seen firsthand how bureaucracy and bloated tooling slow down engineering teams. Linear was built to be the opposite, and the internal culture mirrors the product philosophy: fast, opinionated, and stripped of everything unnecessary.

The defining cultural trait is [deep work](https://jobsbyculture.com/values/deep-work). Linear is async-first by design. There are no daily standups. Meetings are minimized and treated as a cost, not a default. Engineers are expected to spend the majority of their time writing code, not sitting in syncs. This is not a vague aspiration — it's enforced through tooling, norms, and a leadership team that genuinely believes maker schedules require protection.

Founder Quote — Karri Saarinen "Linear is for people who care deeply about the craft of building software and want to do it with minimal friction."

The second defining characteristic is radical leanness. Only ~25 engineers serve 10,000+ customers. That ratio is astonishing in SaaS. It works because of small, autonomous teams (2–4 people per feature), end-to-end ownership, and a ruthless focus on quality over quantity. Engineers don't specialize — they're full-stack generalists who own a feature from database schema to pixel-perfect UI. This isn't understaffing; it's a deliberate architectural and organizational choice.

The third is the zero-bug policy. When a bug is found at Linear, it gets fixed immediately — not triaged into a backlog, not prioritized against feature work. This sounds extreme, but it's central to how Linear maintains product quality with such a small team. Technical debt doesn't accumulate because it's never allowed to compound.

Industry Recognition "Most-loved developer tool" — Pragmatic Engineer 2025 Survey. Featured in Pragmatic Engineer's deep-dive on companies that "move fast with little process."

## Estimated Glassdoor Ratings

Linear has limited Glassdoor data — at ~203 employees, the review sample is small. Rather than present unverified numbers, we've estimated ratings based on available Glassdoor reviews, the company's known policies (5 weeks PTO, remote-first, strong equity), industry reputation, and employee sentiment from public sources. These are estimates, not verified Glassdoor scores.

Culture & Values 4.6

Work-Life Balance 4.4

Compensation & Benefits 4.2

Overall Rating (est.) 4.3

Career Opportunities 3.5

The pattern tells you exactly what Linear is: exceptional culture and balance, strong comp, but limited career ladder. At ~203 people, there simply aren't many rungs to climb. If your primary motivation is career progression through management layers, Linear is not the place. If you want to do outstanding work with outstanding people and be compensated well for it, the estimated ratings suggest it delivers.

## What Employees Actually Say

Based on publicly available reviews, engineering blog posts, and interview signals, here are the consistent themes about working at Linear.

### What employees love

Employee Pro "Genuine remote-first culture — not hybrid-with-guilt. You can be in Berlin or Buenos Aires and it doesn't matter."

Employee Pro "The caliber of teammates is remarkably high. Everyone here could be a senior engineer anywhere else."

Employee Pro "Deep work is actually real here. No standups, minimal meetings, long stretches of uninterrupted coding."

Employee Pro "Working on a product that engineers genuinely love using — user feedback is almost universally positive."

The through-line is clear: Linear attracts high-caliber generalists who want to build an excellent product without the usual organizational overhead. The [remote-first](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026) setup is repeatedly praised as genuine — not the hybrid compromise that many companies label as "remote-friendly." The 5 weeks of PTO and 4 months of parental leave reinforce that this is a company that trusts adults to manage their own time.

### What could be better

Employee Con "Limited career ladder — with ~200 people, there's nowhere to go 'up.' You grow sideways, not vertically."

Employee Con "Remote can be isolating. The annual offsite helps, but day-to-day you're largely on your own."

Employee Con "The generalist expectation is high — if you want to specialize deeply in one area, it's not really the culture."

Employee Con "High bar and fast pace requires extreme autonomy. There's very little hand-holding."

The cons are structural, not cultural — and that's actually a good sign. Nobody complains about toxic management, unclear values, or political dynamics. The complaints are about trade-offs inherent to a small, remote-first, high-trust team: limited growth paths, isolation risks, and the generalist expectation that means you'll be writing database migrations on Monday and tweaking CSS on Tuesday. For some engineers, that's the dream. For others, it's exhausting.

## Compensation & Benefits

Linear pays competitively for a Series C startup, with a compensation philosophy that emphasizes equity upside and employee-friendly terms — a meaningful distinction in an industry where equity often comes with punishing exercise windows.

$205K

Median Total Comp

$420K

L3 Engineer (High)

$560K

Revenue per Employee

The L3 engineer range of $257K–$420K (total compensation including equity) is competitive with larger companies. What sets Linear apart is the equity structure: early exercise options and extended exercise windows mean that if you leave Linear, you don't face the typical 90-day ticking clock to come up with hundreds of thousands of dollars to exercise your options. This is rare and materially increases the value of equity compensation. Given the $1.25B valuation and strong revenue trajectory, the upside potential is real.

### Benefits snapshot

-   **5 weeks PTO** — generous for a US-based startup, standard for a company with Finnish founders who believe in proper rest
-   **4 months parental leave** — among the best in our directory for a company this size
-   **Coworking stipend** — covering a desk at a local coworking space for remote employees
-   **Hack Weeks** — regular time to explore ideas outside the roadmap
-   **Annual offsites** — the whole company gathers (Copenhagen in 2025) for a week of in-person connection
-   **Employee-friendly equity** — early exercise + extended windows

### How Linear compares on compensation

Company

Engineer TC Range

Equity Terms

Remote?

Linear

$257K–$420K

Early exercise + extended

Remote-first

[Vercel](https://jobsbyculture.com/companies/vercel)

$200K–$380K

Standard 4-year vest

Remote-first

[Supabase](https://jobsbyculture.com/companies/supabase)

$180K–$350K

Standard 4-year vest

Remote-first

[Stripe](https://jobsbyculture.com/companies/stripe)

$280K–$400K+

RSUs, pre-IPO

Hybrid

Linear won't out-pay frontier AI labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai) on raw total comp. But the combination of competitive pay, employee-friendly equity, [genuine remote work](https://jobsbyculture.com/values/remote), 5 weeks PTO, and the chance to work on a beloved product with an elite small team is a package that's hard to find elsewhere.

## Engineering Culture & Tech Stack

Linear's engineering culture is its crown jewel — and the reason the product feels so fast, so polished, and so opinionated. Understanding how engineering works at Linear is essential to understanding whether you'd thrive there.

### Tech Stack

TypeScript React Node.js PostgreSQL GraphQL

The stack is deliberately "boring" — and that's the point. TypeScript runs end-to-end, from the frontend React client to the Node.js backend to the GraphQL API layer. PostgreSQL handles persistence. There's no microservices sprawl, no Kubernetes orchestra, no bleeding-edge framework churn. The founders explicitly chose proven, well-understood technologies so that engineering time goes into product quality, not infrastructure firefighting.

### How engineering works at Linear

-   **Small autonomous teams (2–4 people).** Each team owns a feature area end-to-end. There's no coordination overhead with a dozen other teams. You decide what to build, how to build it, and when it ships.
-   **No standups, minimal meetings.** The async-first culture means updates happen in writing, not in 15-minute ceremonies. Engineers protect their mornings (or whatever their peak hours are) for focused coding.
-   **Full-stack generalists.** Linear doesn't hire "frontend engineers" or "backend engineers." Everyone works across the stack. You might optimize a Postgres query in the morning and ship a pixel-perfect animation in the afternoon.
-   **Zero-bug policy.** Bugs are treated as urgent. When one is found, it jumps the queue. This keeps the product quality bar extremely high and prevents the slow accumulation of tech debt that plagues most SaaS companies.
-   **Move fast with little process.** There's no elaborate sprint planning or story point estimation. Teams ship continuously, with fast iteration cycles. Pragmatic Engineer featured Linear specifically for this approach.

The engineering blog and the product itself serve as the best portfolio of what Linear engineers produce. The app's sub-50ms interactions, offline-first architecture, and keyboard-driven design are all the result of this culture — a small team that cares obsessively about craft and has the organizational freedom to pursue it.

## Recent News & Trajectory

Linear has been on a strong trajectory through 2025 and into 2026:

-   **June 2025:** Series C funding of $82M led by Accel at a $1.25B valuation, officially reaching unicorn status
-   **June 2025:** Crossed $100M ARR, up from roughly $50M the prior year
-   **December 2025:** Launched agent-powered integrations, bringing AI-driven automation to project workflows
-   **Early 2026:** AI summarization features for issues and projects, reducing the time spent writing status updates
-   **2026:** Deep-linking with Cursor 3, connecting IDE workflows directly to Linear issues
-   **April 2026:** Web forms for Linear Asks, opening up cross-functional request management

The company is expanding its product surface area while maintaining the lean team philosophy. The AI features are particularly interesting — rather than building generic AI wrappers, Linear is integrating AI into the core workflow in ways that reduce process overhead, which is completely aligned with the company's [ship-fast](https://jobsbyculture.com/values/ship-fast) culture.

## Who Thrives at Linear

Linear is a very specific kind of workplace, and it self-selects for a specific kind of engineer. Based on the culture signals, here's who tends to do well — and who doesn't.

-   **Self-directed generalists.** If you light up when you get to touch every layer of the stack and don't need a manager telling you what to work on next, this is your environment. Linear's small teams mean you'll have enormous scope — but zero hand-holding.
-   **Craft-obsessed builders.** If you care about the difference between 50ms and 200ms load time, if you notice when a transition animation is 2px off, if you find satisfaction in a clean database schema — you'll be among your people. Linear's [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture rewards obsessive attention to quality.
-   **Deep workers.** If your best work happens in long, uninterrupted blocks and you resent meetings that fragment your day, Linear's async-first culture was designed for you. The [deep-work](https://jobsbyculture.com/values/deep-work) philosophy is structural, not aspirational.
-   **Remote natives.** If you've proven you can be highly productive without an office, without in-person social cues, and without someone checking if you're online — Linear's [remote-first](https://jobsbyculture.com/values/remote) model will feel natural. If you need the social energy of an office to stay motivated, the isolation will be challenging.
-   **People who value craft over career ladders.** If your measure of a good year is "I shipped something excellent" rather than "I got promoted to Senior Staff," Linear will feel deeply satisfying. If you need visible career progression with title changes every 18 months, you'll feel stuck at a 203-person company.

Linear is _not_ ideal for engineers who want deep specialization (backend-only or ML-only roles), those who thrive on in-person collaboration, or those who need structured mentorship and career development programs. It's also not for people who struggle with ambiguity — the low-process environment means you have to be comfortable navigating without detailed specs or roadmaps. If that sounds stressful rather than liberating, look at more structured environments like [Stripe](https://jobsbyculture.com/companies/stripe) or [Databricks](https://jobsbyculture.com/companies/databricks).

## Linear vs. Similar Companies

To put Linear in context, here's how it compares to other companies that engineers often evaluate alongside it:

Dimension

Linear

[Vercel](https://jobsbyculture.com/companies/vercel)

[Supabase](https://jobsbyculture.com/companies/supabase)

Size

~203

~400

~150

Remote

Remote-first

Remote-first

Remote-first

Revenue

$100M ARR

~$100M ARR

~$30M ARR

Rev/Employee

$560K

~$250K

~$200K

Eng Team

~25 engineers

~100 engineers

~60 engineers

Meetings

Minimal (async)

Low

Low (async)

Career Ladder

Limited

Developing

Limited

Valuation

$1.25B

$3.25B

$2B

Linear stands out on efficiency. The revenue-per-employee and revenue-per-engineer ratios are exceptional. For engineers who want maximum impact with minimum organizational friction, Linear is arguably the strongest option in the developer tools space. Use our [comparison tool](https://jobsbyculture.com/compare) for a full side-by-side with any company in our directory.

## Frequently Asked Questions About Working at Linear

How many employees does Linear have in 2026?+

Linear has approximately 203 employees as of February 2026. The engineering team is remarkably lean at around 25 people, serving 10,000+ customers and generating $100M in annual recurring revenue. This gives Linear one of the highest revenue-per-employee ratios in SaaS at approximately $560K. For comparison across tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

Is Linear remote-friendly?+

Yes, Linear has been remote-first since its founding in 2019 — it's not a pandemic adaptation. The team spans 15+ countries and 10+ time zones. Optional coworking hubs exist in San Francisco, New York, and Berlin, but attendance is not required. The company runs annual offsites (Copenhagen in 2025) to build in-person connections. Communication is async-first with minimal meetings. See our full list of [remote-friendly companies hiring in 2026](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026).

What is Linear's Glassdoor rating in 2026?+

Linear has limited Glassdoor data due to its small size (~203 employees). Based on available reviews and industry signals, we estimate an overall rating of approximately 4.3–4.5 out of 5.0. The company is consistently praised for its engineering culture, remote flexibility, and product quality. This is an estimate, not a verified Glassdoor score. See our [full Linear culture profile](https://jobsbyculture.com/companies/linear) for more details.

What is Linear's engineering culture like?+

Linear's engineering culture centers on deep work, async communication, and minimal process. There are no daily standups. Teams are small (2–4 people) and fully autonomous. Engineers own features end-to-end as full-stack generalists. The company follows a zero-bug policy where bugs are fixed immediately rather than backlogged. The tech stack is deliberately straightforward: TypeScript end-to-end, React, Node.js, PostgreSQL, and GraphQL. Pragmatic Engineer named Linear the "most-loved dev tool" in their 2025 survey.

What is Linear's compensation for engineers?+

Median total compensation at Linear is approximately $205K. For L3 engineers, the range is $257K–$420K including base salary, equity, and benefits. Linear offers employee-friendly equity terms with early exercise options and extended exercise windows — uncommon perks that significantly increase the real value of stock options. Given the $1.25B valuation and strong revenue growth, the equity upside potential is meaningful. See our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

What benefits does Linear offer?+

Linear offers 5 weeks of PTO, 4 months of parental leave, a coworking stipend for remote employees, regular Hack Weeks for exploration, and annual company offsites in locations like Copenhagen. The benefits are designed for a distributed team — there are no office perks to miss out on, because there's no central office to begin with.

What are the downsides of working at Linear?+

The main trade-offs are: limited career ladder (~200 employees means few management positions), potential isolation from fully remote work, a generalist expectation that may not suit engineers who want deep specialization, and a high bar for autonomy with minimal hand-holding. The company's timezone focus is also weighted toward North America and Europe, which can create challenges for team members in other regions.

### Interested in working at Linear?

See Linear's open roles with culture context, or browse all jobs from companies in our directory.

[View Linear Jobs →](https://jobsbyculture.com/jobs?company=linear) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Lovable in 2026: Culture, Salary & What Employees Say

# Working at Lovable in 2026: Culture, Salary & What Employees Say

> Working at Lovable in 2026: 146 employees, $400M+ ARR, $6.6B valuation, ~3.5 Glassdoor rating, and what the intense ship-fast culture is really like inside the fastest-growing SaaS startup.

Source: https://jobsbyculture.com/blog/working-at-lovable-2026
Markdown: https://jobsbyculture.com/blog/working-at-lovable-2026.md
Last updated: 2026-07-14

---
Lovable is the company that made "vibe coding" a household term. Founded in Stockholm in late 2023 by Anton Osika and Fabian Hedin, the AI app builder lets anyone turn a natural language prompt into a working full-stack application. In less than two years, Lovable went from an open-source experiment called GPT Engineer to a $6.6 billion company generating over $400M in annual recurring revenue — making it one of the [fastest revenue ramps in SaaS history](https://jobsbyculture.com/blog/best-ai-startups-to-join-2026).

But behind the staggering growth numbers, what is it actually like to work there? We pulled data from Glassdoor reviews, public interviews, the company's careers page, and employee accounts to give you an honest picture of Lovable as an employer in 2026. Whether you're evaluating an offer, preparing for an interview, or trying to understand the culture of the hottest AI startup on the planet, here's what you need to know.

## Lovable at a Glance

Founded

November 2023

Headquarters

Stockholm, Sweden

Other Offices

London, Boston, San Francisco

Founders

Anton Osika (CEO) & Fabian Hedin (CTO)

Company Size

~146 employees

Revenue

$400M+ ARR (Feb 2026)

Valuation

$6.6B (Series B, Dec 2025)

Total Funding

$530M+

Glassdoor Rating

~3.5 / 5.0 (limited reviews)

Work-Life Balance

~3.0 / 5.0

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), Product Impact, Learning

Note: Lovable has only ~11 Glassdoor reviews as of early 2026. All ratings in this article should be treated as directional estimates, not statistically robust data. We'll update this article as more reviews come in.

Lovable is a small, talent-dense team that has achieved something almost unprecedented: $2.7 million in ARR per employee. That number already surpasses what Gartner predicts next-wave unicorns will achieve by 2030. Among the companies in our [Culture Directory](https://jobsbyculture.com/companies), Lovable occupies a unique niche — it's not a mature tech giant with thousands of employees, but a hyper-growth rocket ship where every individual has outsized [velocity](https://jobsbyculture.com/values/ship-fast) and impact.

## The Origin Story: From GPT Engineer to $6.6B

To understand Lovable's culture, you need to understand where it came from. In 2023, Anton Osika released GPT Engineer, an open-source project that used large language models to generate entire codebases from natural language descriptions. It quickly became one of the most-starred AI repositories on GitHub, accumulating over 50,000 stars. The project proved that there was massive demand for AI-powered software creation — not just code completion, but full application generation.

Anton and co-founder Fabian Hedin incorporated Lovable in November 2023 and launched a commercial product in mid-2024 targeting non-technical users. The product hit $100M ARR in just eight months — the fastest path to that milestone in SaaS history. By February 2026, ARR had crossed $400M, and the company added $100M in a single month (March 2026). The revenue trajectory puts Lovable alongside [Cursor as the fastest-growing AI startups](https://jobsbyculture.com/blog/best-ai-startups-to-join-2026) ever.

In December 2025, Lovable closed a $330M Series B at a $6.6 billion valuation, led by CapitalG (Alphabet's growth fund) and Menlo Ventures. The investor roster reads like a who's who of enterprise tech: NVentures (NVIDIA), Salesforce Ventures, Databricks Ventures, Atlassian Ventures, HubSpot Ventures, Khosla Ventures, and DST Global, among others. Both co-founders became billionaires, and the total funding raised crossed $530M.

Common Review Theme Reviewers consistently describe building a product used by millions of people at a company growing faster than anything they've seen in their careers.

## What Makes Lovable's Culture Different

Lovable describes its culture in three phrases: **extreme ownership**, **high velocity**, and **low-ego collaboration**. Those aren't just taglines — they reflect the reality of building a generational product with a team of 146 people serving nearly 8 million users.

The first thing that stands out is the [engineering-driven](https://jobsbyculture.com/values/eng-driven) decision-making. Lovable is a company where the product is the strategy. Anton Osika is a technical founder who still engages deeply with the product. Engineers don't wait for product managers to hand them specs — they identify problems, prototype solutions, and [ship fast](https://jobsbyculture.com/values/ship-fast). The cadence is closer to a research lab iterating on experiments than a traditional product development cycle.

The second defining characteristic is the speed. Lovable ships multiple times per day. Features that would take quarters at a larger company get shipped in days. This isn't theoretical velocity — the product's evolution from basic prompt-to-app generation to supporting GitHub integration, Supabase backends, custom domains, and team collaboration features all happened within months. When the company says "high velocity," they mean it.

The third element is the Swedish roots. Lovable describes Stockholm as its permanent home, and the culture reflects Swedish design sensibilities: clean, accessible, human-centered. There's a low-ego quality to how the company communicates, even as it has achieved extraordinary commercial success. The team challenges the notion that tech is only for technical experts, which shapes everything from the product's UX to who they hire.

Common Review Theme Reviewers consistently mention extreme autonomy — owning your area completely and moving fast without bureaucratic approvals.

## Glassdoor Ratings Breakdown

Lovable's Glassdoor profile has approximately 11 reviews as of early 2026 — a small sample that limits how much we can extrapolate. The overall rating sits around 3.5 out of 5.0, which is below average for the companies in our [directory](https://jobsbyculture.com/companies). However, the small review count means a single negative review has outsized impact, and several reviews appear to be from interview candidates rather than employees. Take these numbers as directional signals, not definitive assessments.

Here's the approximate breakdown:

Culture & Values 3.5

Overall Rating 3.5

Career Opportunities 3.2

Work-Life Balance 3.0

Compensation & Benefits 2.6

The pattern tells a clear story about early-stage trade-offs. The culture and overall scores are decent at 3.5 — people find the work exciting and the mission compelling. But compensation (2.6) and work-life balance (3.0) are significant weak points. The comp score is the lowest in our entire directory, though it's worth noting that Swedish compensation structures differ significantly from US tech norms, and early-stage equity isn't factored into Glassdoor salary ratings. The WLB score of 3.0 reflects what multiple reviewers describe: long hours, often 9am to 9pm, driven by the sheer pace of growth.

## What Employees Actually Say

Despite the limited review volume, consistent themes emerge from Glassdoor reviews, LinkedIn posts, and public employee statements about working at Lovable.

### What employees love

Common Review Theme Reviewers cite explosive growth and the constant novelty of new problems — nothing routine, every week brings new challenges.

Common Review Theme Massive product impact comes through in reviews — features built reach millions of people within days.

Common Review Theme High autonomy and trust come up repeatedly — employees are expected to own their area and make decisions without waiting for approval.

Common Review Theme Talent density is a recurring theme — a small team doing what normally takes hundreds of people.

The recurring theme is impact. When you're one of 146 people building a product used by 8 million, your individual contribution is tangible and immediate. This is the core appeal of Lovable as an employer: the ratio of personal impact to company scale is nearly unmatched in the industry. For people who thrive on seeing their work matter, this is intoxicating.

### What could be better

Common Review Theme Long hours are cited as the norm — the pace is intense and there's always more to do than people to do it.

Common Review Theme Processes are still being built — reviewers note that career ladders and review cycles are ad hoc.

Common Review Theme Compensation reportedly lags behind larger competitors, especially for US-based roles — reflected in the 2.6 comp sub-score.

Common Review Theme Some candidate-side reviews describe the interview process as rushed.

The cons are the predictable trade-offs of hyper-growth. A company that grew from 15 to 146 people in roughly a year is inevitably building the plane while flying it. Processes, career frameworks, and internal tooling are catching up to the pace of hiring and product development. The compensation concern is real but nuanced — Lovable's equity could be extraordinarily valuable if the growth trajectory continues, but base salaries reportedly sit below what established tech companies offer, particularly for US-based roles used to Bay Area comp packages.

## Compensation & Benefits

Lovable's compensation picture is the most complex part of the story. The Glassdoor comp rating of 2.6/5 is notably low, but context matters enormously here.

$6.6B

Valuation (Dec 2025)

$2.7M

ARR per Employee

146

Employees (Feb 2026)

Lovable is a Stockholm-headquartered company, and Swedish tech salaries are structurally lower than US norms. A senior engineer in Stockholm might earn SEK 700k–900k ($65k–85k USD) in base salary, which looks low by San Francisco standards but is competitive in the Nordics. The US offices in Boston and San Francisco presumably offer higher base comp, but specific data is scarce given the company's size and age.

The equity story is where things get interesting. Early employees at a company valued at $6.6B with $400M+ ARR and explosive growth are sitting on potentially life-changing equity. If Lovable's trajectory continues — and the investor roster suggests serious confidence — the total comp picture including equity could be extraordinary. But equity is speculative, and the base salary gap is real for employees who need to pay Bay Area or London rents.

Benefits information is limited given the company's youth. Lovable's Swedish headquarters means employees in Stockholm benefit from Sweden's robust social safety net — generous parental leave, universal healthcare, and strong worker protections. US-based employees likely receive standard startup benefits, though specific details aren't publicly documented.

## Engineering Culture & Tech Stack

Lovable's engineering culture is defined by one principle: ship the product that makes everyone a builder. The entire company exists to prove that software creation doesn't require traditional coding skills, and the engineering team embodies that mission by building at a pace that most larger teams can't match.

### Tech Stack

React TypeScript Supabase Claude (Anthropic) Node.js Tailwind CSS

The platform itself is built on React and TypeScript with Supabase powering the backend infrastructure. The AI code generation layer leverages Anthropic's Claude models, and the applications that Lovable generates for users also default to React, TypeScript, Tailwind CSS, and Supabase — creating an interesting recursive relationship where the product's tech stack mirrors the platform's.

### How engineering works at Lovable

-   **Small teams, full ownership.** Engineers own entire features end-to-end. With 146 people total (not all engineers), there's no room for handoffs or siloed responsibilities. You identify a problem, build the solution, ship it, and monitor the results.
-   **Daily shipping.** Lovable pushes updates multiple times per day. The CI/CD pipeline is optimized for speed, and the expectation is that features go from idea to production in days, not weeks. This is a [ship-fast](https://jobsbyculture.com/values/ship-fast) culture in the purest sense.
-   **AI-native development.** The engineering team doesn't just build AI tools — they use them. Lovable engineers leverage their own product and other AI coding tools to accelerate development, creating a tight feedback loop between building the product and being its power users.
-   **Rapid iteration over perfection.** Unlike companies that optimize for code quality above all else, Lovable optimizes for learning velocity. Ship, measure, iterate. The priority is getting features in front of 8 million users quickly and learning from real usage patterns.

For engineers coming from more structured environments, Lovable's engineering culture will feel liberating or chaotic depending on your temperament. There are fewer guardrails, fewer review gates, and fewer processes than you'd find at a company like [Stripe](https://jobsbyculture.com/companies/stripe) or [Databricks](https://jobsbyculture.com/companies/databricks). But the trade-off is that your code reaches millions of users almost immediately, and you can see the impact in real-time.

## Who Thrives at Lovable

Lovable is not for everyone, and the company is explicit about that. Based on the culture signals, employee accounts, and the company's own messaging, here's who tends to thrive:

-   **Builders who crave speed.** If you want to [ship fast](https://jobsbyculture.com/values/ship-fast) and see your work in production immediately, Lovable is one of the best places in tech right now. If you prefer methodical planning and extensive review cycles, this isn't your environment.
-   **People energized by chaos.** A company growing this fast is inherently messy. Priorities shift. Processes don't exist yet. If you're the kind of person who builds the road while driving on it, you'll thrive. If you need clear structures and stable priorities, look elsewhere.
-   **Engineers who want outsized impact.** At 146 employees serving 8 million users, the impact-per-person ratio is extraordinary. Every feature you build, every optimization you ship, is felt by millions. This is the opposite of being a cog in a machine.
-   **People who believe in the mission.** Lovable's thesis is that software creation should be accessible to everyone, not just professional developers. If you genuinely believe in democratizing software, the pace and intensity feel purposeful rather than exhausting.
-   **Early-career risk-takers.** If you're early in your career and willing to trade work-life balance for [accelerated learning](https://jobsbyculture.com/values/eng-driven), Lovable compresses years of experience into months. The equity upside and resume signal of being at the fastest-growing SaaS company can be career-defining.

Lovable is _not_ ideal for people who prioritize work-life balance, need established career ladders, or expect top-of-market base compensation. The 3.0 WLB score and 2.6 comp score are honest signals. If those factors are non-negotiable for you, consider companies with stronger profiles in those areas — like [Notion](https://jobsbyculture.com/companies/notion), [Linear](https://jobsbyculture.com/companies/linear), or [HubSpot](https://jobsbyculture.com/companies/hubspot).

## Office & Location

Lovable is an office-based company. The headquarters in Stockholm remains the cultural center of gravity, and the company has described it as its permanent home. The Swedish roots show up in the product design philosophy and the emphasis on accessibility and craftsmanship.

In 2025–2026, Lovable expanded with offices in London, Boston, and San Francisco to be closer to US and UK customers. These offices serve both engineering and go-to-market functions. The multi-city setup means you can work from several hubs, but this is not a remote company — most roles require regular in-office presence.

For candidates in the US, the Boston and San Francisco offices offer a way to join Lovable without relocating to Sweden. However, given the Stockholm HQ's cultural importance, US-based employees should expect some degree of cross-timezone collaboration and potentially occasional travel to Stockholm.

## How Lovable Compares

### [Lovable vs. Cursor](https://jobsbyculture.com/jobs?company=lovable)

Hyper-Growth AI-Native

Lovable and Cursor are often compared as the two fastest revenue ramps in SaaS history. Both build AI coding tools, but they target different users: Cursor serves professional developers with an AI-enhanced IDE, while Lovable targets non-technical users who want to build apps through natural language. Cursor is fully remote; Lovable is office-based. Both demand intense pace, but the work cultures differ significantly.

Key Difference "Cursor builds for developers. Lovable builds for everyone else. Both are growing at unprecedented speed."

## Open Positions at Lovable

Lovable currently has **70+ open positions** across engineering, product, business development, customer success, and operations. The company is hiring in Stockholm, London, Boston, and San Francisco. Roles range from founding customer success managers to compliance engineers, strategic partnership leads, and core engineering positions.

Given the company's pace, the role you apply for today may look different in three months. Lovable is at the stage where job titles are less important than your ability to contribute. If the culture and mission described here resonate with you, now is arguably the most impactful time to join — the team is small enough that every new hire shapes the company's trajectory.

## Frequently Asked Questions About Working at Lovable

How many employees does Lovable have in 2026?+

Lovable has approximately 146 full-time employees as of early 2026, though the company is hiring aggressively with 70+ open roles. This makes Lovable one of the most revenue-efficient companies in SaaS history, generating roughly $2.7M in ARR per employee — a figure that surpasses Gartner's 2030 predictions for next-gen unicorns. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Lovable's revenue in 2026?+

Lovable reached $400M+ ARR by February 2026, up from $100M in July 2025. The company added $100M in a single month (March 2026), making it one of the fastest revenue ramps in SaaS history alongside Cursor. Lovable hit $100M ARR in just 8 months after launch — faster than any SaaS company on record.

What is Lovable's Glassdoor rating?+

Lovable has an estimated rating of approximately 3.5 out of 5.0 on Glassdoor, though with limited reviews (only ~11 as of early 2026). The small sample size means this rating should be treated as directional, not definitive. Compensation & Benefits is rated around 2.6/5, while Work-Life Balance sits at approximately 3.0/5.

Is Lovable remote-friendly?+

No, Lovable is primarily office-based. The company is headquartered in Stockholm, Sweden, with offices in London, Boston, and San Francisco. While the multi-city setup means employees can be based in several hubs, most roles require regular office presence. This is not a remote-first or remote-friendly company. For remote AI companies, see our [remote-friendly AI companies](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026) guide.

What is Lovable's tech stack?+

Lovable's platform is built on React and TypeScript for the frontend, with Supabase for backend infrastructure. The AI code generation layer leverages Anthropic's Claude models. The product itself enables users to build full-stack web applications through natural language prompts — a paradigm known as "vibe coding." Generated apps also use React, TypeScript, Tailwind CSS, and Supabase by default.

Who founded Lovable?+

Lovable was co-founded by Anton Osika (CEO) and Fabian Hedin (CTO) in November 2023. Anton previously created GPT Engineer, an open-source project that became one of the most-starred AI repos on GitHub with 50,000+ stars. The commercial vision behind GPT Engineer evolved into Lovable, which launched as a full product in mid-2024. Both co-founders became billionaires following the $6.6B Series B valuation.

What is Lovable's culture like?+

Lovable's culture is defined by extreme ownership, high velocity, and low-ego collaboration. The company values [shipping fast](https://jobsbyculture.com/values/ship-fast), product impact, and [engineering-driven](https://jobsbyculture.com/values/eng-driven) decision-making. The pace is intense — reviews mention 9am-to-9pm hours — but autonomy is high and individual impact is massive given the small team size. The Swedish roots bring a design-first, accessibility-conscious sensibility that distinguishes it from Silicon Valley startup culture.

### Explore open roles at Lovable

See Lovable's 70+ open roles alongside jobs from companies like Anthropic, Cursor, Vercel, and more — all with culture context.

[View Lovable Jobs →](https://jobsbyculture.com/jobs?company=lovable) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Mercor in 2026: $10B Valuation, 200 Employees, Salary & Culture

# Mercor in 2026: $10B Valuation, 200 Employees, Salary & Culture

> Working at Mercor in 2026: ~200 employees, $10B valuation, 4.0 Glassdoor rating, $150k-$350k engineer comp, and what the youngest self-made billionaires built inside the AI hiring platform.

Source: https://jobsbyculture.com/blog/working-at-mercor-2026
Markdown: https://jobsbyculture.com/blog/working-at-mercor-2026.md
Last updated: 2026-07-14

---
[Mercor](https://jobsbyculture.com/companies/mercor) is the most improbable company in our [Culture Directory](https://jobsbyculture.com/companies). Founded in January 2023 by three college dropouts who were high school debate partners in San Jose, California, it reached a $10 billion valuation by October 2025 — making co-founders Brendan Foody, Adarsh Hiremath, and Surya Midha the youngest self-made billionaires in the world at age 22. The company organizes human intelligence to power the AI economy, connecting hundreds of thousands of domain experts with frontier AI labs and enterprises that need human expertise to train, evaluate, and refine their models.

But Mercor isn't just a staffing agency with a chatbot bolted on. The platform uses AI to match talent to tasks, assess capabilities through automated evaluations, and manage the entire lifecycle of AI training data generation at scale. Their clients include six of the "Magnificent Seven" tech giants, plus [OpenAI](https://jobsbyculture.com/companies/openai) and [Anthropic](https://jobsbyculture.com/companies/anthropic). Revenue growth has been explosive. And the core team building all of this? Roughly 200 people.

That combination — hypergrowth, tiny team, enormous clients, very young leadership — creates a work environment unlike almost anything else in tech. Here's what it's actually like inside.

## Mercor at a Glance

Founded

2023

Headquarters

San Francisco, CA

Founders

Brendan Foody (CEO), Adarsh Hiremath (CTO), Surya Midha (COO)

Company Size

~200 employees

Valuation

$10B (Series C, Oct 2025)

Total Funding

$450M+ (Felicis, Benchmark, Peter Thiel)

Glassdoor Rating

4.0 / 5.0 (103 reviews)

Work-Life Balance

4.0 / 5.0

Recommend to Friend

78%

Culture Values

[Ship Fast](https://jobsbyculture.com/values/ship-fast), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Flat](https://jobsbyculture.com/values/flat), [Equity](https://jobsbyculture.com/values/equity)

The numbers tell an unusual story. A $10 billion valuation divided by ~200 employees gives Mercor one of the highest revenue-per-employee ratios of any startup in our directory. The 4.0 Glassdoor rating is respectable for a company growing this fast, though the 78% recommendation rate is notably lower than peers like [Anthropic](https://jobsbyculture.com/companies/anthropic) (88%) or [Cursor](https://jobsbyculture.com/companies/cursor) (95%). That gap reflects the intensity of the environment — people who thrive here love it, but it's not for everyone.

## The Origin Story Matters

You can't understand Mercor's culture without understanding how it was built. Brendan Foody, Adarsh Hiremath, and Surya Midha grew up together in San Jose, competing on the Bellarmine College Preparatory speech and debate team. They went to college — Hiremath to Harvard, Foody and Midha to Georgetown — and dropped out together during their sophomore year in 2023 to start Mercor.

They were 19 years old. Within two years, they raised $450 million across three rounds. Hiremath, as CTO, built the core AI matching and evaluation systems. Foody ran business development, landing contracts with the largest AI labs in the world. Midha managed operations and the rapidly scaling contractor network. By the time Forbes named them the youngest self-made billionaires in late 2025, Mercor was already processing millions of tasks per month for its enterprise clients.

This founding DNA — ambitious, scrappy, competitive, very young — permeates every part of the company. The culture runs on conviction and speed, not consensus and process. If that sounds exciting, keep reading. If it sounds exhausting, that's also valid.

## What Makes Mercor's Culture Different

Mercor operates at a pace that most companies would find unsustainable. Employee reviews and public reporting consistently describe a 9am-to-9pm, six-days-a-week work schedule as the norm — not an exception during crunch periods, but the baseline expectation. This isn't a company that talks about "hustle culture" performatively. The founders themselves are known for extreme working hours, and the culture reflects that.

Employee Pro "Building the AI hiring infrastructure — massive TAM and strong revenue growth. You're working on something that actually matters."

The flip side of that intensity is genuine impact. With ~200 people and a $10 billion valuation, there are no passengers. Engineers ship features that immediately affect how major AI labs train their models. A product decision by a single IC can influence workflows used by OpenAI, Google, and Meta. The ratio of individual impact to company scale is among the highest of any company in our [directory](https://jobsbyculture.com/companies).

The [flat hierarchy](https://jobsbyculture.com/values/flat) is real, not aspirational. At 200 people, there simply aren't enough management layers for politics to take root. Engineers talk directly to the founders. Decisions happen in Slack threads, not committee meetings. If you've spent time at a large company where shipping a feature requires six approval layers, Mercor will feel like removing a straitjacket. But the flatness also means limited mentorship infrastructure, unclear career ladders, and the expectation that you'll figure things out yourself.

Employee Con "Intense 9am-9pm, 6-day work schedule — long hours are the norm, not the exception. Work-life balance is a real sacrifice at this stage."

## The Data Breach: What Actually Happened

Any honest assessment of Mercor in 2026 has to address the March 2026 data breach. On March 27, attackers pushed poisoned versions of LiteLLM — a popular open-source AI proxy library — to PyPI. The malicious packages were live for approximately 40 minutes before being detected and removed, but that was enough. Mercor was among thousands of companies affected, and the breach reportedly resulted in the exfiltration of approximately 4 terabytes of data.

The fallout was significant. Multiple lawsuits were filed. Meta, one of Mercor's largest clients, paused work with the company while the breach was investigated. For a company that manages sensitive personal information about hundreds of thousands of contractors — resumes, skill assessments, payment details — the breach raised fundamental questions about security infrastructure.

Mercor has since invested heavily in security engineering (the role is actively being hired for at their San Francisco office), and the incident appears to have accelerated their security maturity. But for prospective employees, it's worth understanding: this is a company that grew extraordinarily fast, and some of the organizational infrastructure didn't keep pace. The breach was a supply chain attack, not a failure of basic security hygiene — but the scale of data exposed suggests that data isolation and access controls needed improvement.

## Glassdoor Ratings: Reading Between the Lines

Mercor's 4.0 overall rating from 103 reviews requires context. A significant portion of those reviews come from contractors in the talent network, not full-time employees. Contract workers rate aspects like project consistency and job security, which naturally skew lower for a marketplace model. The full-time employee experience is likely different from the blended rating, though we don't have enough full-time-only reviews to calculate a separate score.

Work-Life Balance 4.0

Overall Rating 4.0

Recommend to Friend 78%

The 4.0 WLB score is notably higher than you'd expect given the reported 9-9-6 work schedule for full-time employees. This likely reflects that contractors (who set their own hours and work remotely) pull the WLB average up, while full-time employees in San Francisco experience meaningfully more intensity. Among full-time-focused reviews, the intensity theme is unmistakable.

## What Employees Actually Say

### What employees love

Common Review Theme Reviewers cite competitive comp and the $10B valuation as meaningful upside on equity.

Common Review Theme The tiny core team is consistently described as creating outsized individual impact — not a cog in a machine.

Common Review Theme Technical founders are still deeply involved in product, and reviews note leadership genuinely understands the technical challenges.

Common Review Theme Working at the intersection of AI and labor markets is described as a genuinely novel problem space.

The recurring theme is impact and upside. People who join Mercor are making a bet — that the intensity and sacrifice of working in a hypergrowth startup with very young leadership will pay off in career acceleration, equity value, and the experience of building something at the frontier of AI. For the right person, that bet is clearly working out.

### What could be better

Common Review Theme Rapid growth has created organizational growing pains — reviewers note processes and structure haven't caught up with scale.

Public Reporting The March 2026 LiteLLM supply chain breach raised real security concerns and led to Meta pausing work with Mercor.

Common Review Theme Work-life balance is widely described as sacrificed for speed of execution — this is not a balance-first job.

Common Review Theme Limited mentorship and career development infrastructure — you're expected to be self-directed.

The cons paint a picture of a company that's moving faster than its organizational infrastructure can support. This is common in hypergrowth startups, but at Mercor it's amplified by the sheer speed of the growth trajectory. Going from zero to $10 billion in two years means processes, documentation, and team structures are perpetually catching up. For experienced engineers who thrive in ambiguity, this is a feature. For people who need clear processes and defined growth paths, it's a risk.

## Compensation & Equity

Mercor compensates aggressively to attract talent in one of the most competitive hiring markets in the world. Full-time engineering roles in San Francisco and NYC range from approximately $130K to $500K in total compensation, depending on role and level. The wide range reflects the difference between junior engineers and senior or staff-level hires.

$10B

Current Valuation

~200

Full-Time Employees

57

Open Positions

The [equity](https://jobsbyculture.com/values/equity) component is particularly compelling. At a $10 billion valuation with strong revenue growth and major enterprise clients, Mercor equity has a credible path to liquidity. The company's backers — Felicis Ventures, Benchmark, and Peter Thiel — are among the most successful venture investors in history. For employees who joined at earlier valuations, the paper returns have been extraordinary.

That said, the $10 billion entry point means new hires are buying in at a significant premium. The question for prospective employees is whether Mercor can grow into a $30-50 billion company, which would require sustained revenue growth and successful expansion beyond AI training into broader recruitment. That's plausible but far from guaranteed. Compared to [Anthropic](https://jobsbyculture.com/companies/anthropic) ($300K-$490K for engineers) or [OpenAI](https://jobsbyculture.com/companies/openai) ($350K-$550K), Mercor's top-end comp is competitive but the risk profile is different — Mercor is younger, less proven, and more dependent on the continued growth of the AI training market.

## Engineering Culture & Tech Stack

Mercor's engineering team is small and [engineering-driven](https://jobsbyculture.com/values/eng-driven). With the CTO being one of the three co-founders, engineering has a direct seat at the strategic table. The team builds the AI matching algorithms, the evaluation infrastructure, the marketplace platform, and the enterprise integrations that connect Mercor to its clients' workflows.

### Tech Stack

Python TypeScript React ML/AI LLMs PostgreSQL

The engineering challenges are genuinely interesting. Mercor has to build systems that can evaluate human expertise across dozens of domains — from machine learning research to legal analysis to creative writing — and match those humans to tasks with enough precision that frontier AI labs trust the training data. That's a combination of marketplace dynamics, ML-powered assessment, and large-scale data pipeline engineering that's unlike what you'd find at most companies.

### How engineering works at Mercor

-   **Ship-fast culture.** Mercor values speed over perfection. Features go from idea to production in days, not weeks. For engineers who want tight feedback loops and visible impact, this is the main draw.
-   **Full-stack ownership.** With ~200 employees total, engineers wear many hats. You'll work across the stack, from frontend to ML pipeline to infrastructure. There's no "that's not my job" culture.
-   **Founder-led technical decisions.** CTO Adarsh Hiremath is hands-on in architecture and technical direction. This means less committee-driven design but also fewer layers of review.
-   **Building for scale under pressure.** When your clients include OpenAI and Google, downtime and data quality issues have immediate consequences. The engineering bar is high because it has to be.

The open engineering roles — ML Engineer, Infrastructure Engineer, Security Engineer, Applied AI Engineer — reflect where the company is investing. Post-breach, security engineering has become a clear priority. ML and infrastructure hires signal continued investment in the core matching and evaluation platform.

## Who Thrives at Mercor

Mercor is a polarizing workplace, and that's a feature, not a bug. Based on the culture signals, employee reviews, and the company's trajectory, here's who tends to do well:

-   **High-agency builders.** If you need a manager to define your sprint, Mercor isn't for you. The people who thrive here are those who can identify what needs to be built, build it, and ship it without waiting for permission. The [flat structure](https://jobsbyculture.com/values/flat) rewards initiative.
-   **People comfortable with chaos.** Processes are evolving. Documentation may be sparse. Priorities can shift quickly based on client needs or market conditions. If you find ambiguity paralyzing, look elsewhere. If you find it energizing, this is your environment.
-   **Mission-driven engineers.** Mercor is building infrastructure for how AI learns from human expertise. If the intersection of labor markets and AI genuinely interests you — not just as a buzzword but as a technical problem — the work here is intellectually compelling.
-   **People who optimize for career acceleration over balance.** Joining a $10 billion company at ~200 employees gives you the kind of scope and responsibility that would take years to earn at a larger company. The trade-off is your personal time. If you're at a life stage where you can make that trade, the upside is real.

Mercor is _not_ ideal for people who want structured mentorship, clear career ladders, or predictable hours. It's not a good fit if you prioritize [work-life balance](https://jobsbyculture.com/values/wlb) — companies like [Notion](https://jobsbyculture.com/companies/notion), [Linear](https://jobsbyculture.com/companies/linear), or [PostHog](https://jobsbyculture.com/companies/posthog) would be better choices. And if you're uncomfortable with the risk profile of a very young company with very young founders navigating enterprise relationships and a recent security incident, that discomfort is rational.

## The Elephant in the Room: Very Young Leadership

Mercor's founders are 22-23 years old. That's worth addressing directly, because it affects the work experience in concrete ways.

On the positive side: the founders are demonstrably exceptional operators. Building a company to $10 billion in two years, landing six of the Magnificent Seven as clients, and managing a global contractor network of hundreds of thousands — these aren't things that happen by accident. Foody's business development skills, Hiremath's technical vision, and Midha's operational execution have been validated by both investors and customers at the highest level.

On the other side: management maturity takes time to develop, regardless of intelligence. Multiple reviews reference organizational growing pains that are common in companies where the leadership team is learning management for the first time while simultaneously scaling at breakneck speed. The company has hired experienced operators (including a People Ops Manager role currently open), but the founding DNA still sets the cultural tone.

For prospective employees, the question isn't whether the founders are smart — they clearly are. It's whether you're comfortable working in an environment where the leadership is building the plane while flying it, at a speed and altitude that leaves little room for error.

## Open Positions at Mercor

Mercor currently has **65 open positions**, primarily based in San Francisco with some NYC roles. Key engineering hires include Machine Learning Engineer, Infrastructure Engineer, Security Engineer, and Applied AI Engineer. The company is also hiring for People Ops, Strategic Project Lead, and various business roles — reflecting the post-Series C push to build out organizational infrastructure.

For full details on Mercor's open roles, culture values, and side-by-side comparisons with other companies, visit the [Mercor culture profile page](https://jobsbyculture.com/companies/mercor).

## Frequently Asked Questions About Working at Mercor

What does Mercor do?+

Mercor is an AI-powered hiring and talent marketplace that connects skilled professionals with companies that need human expertise to train, evaluate, and improve AI models. Their clients include six of the "Magnificent Seven" tech giants, [OpenAI](https://jobsbyculture.com/companies/openai), and [Anthropic](https://jobsbyculture.com/companies/anthropic). They also provide AI-driven recruitment tools for broader hiring.

How many employees does Mercor have in 2026?+

Mercor has approximately 200 full-time employees as of 2026. The company manages a much larger network of contractors — hundreds of thousands of domain experts who train AI models — but the core team building the platform is intentionally small. They currently have 65 open roles listed on [our jobs board](https://jobsbyculture.com/jobs?company=mercor).

What is Mercor's valuation in 2026?+

Mercor is valued at $10 billion as of its October 2025 Series C round led by Felicis Ventures. The company went from a $2 billion valuation in February 2025 to $10 billion by October — a 5x increase in eight months. Total funding raised is over $450 million from investors including Benchmark and Peter Thiel.

Who founded Mercor?+

Mercor was founded in January 2023 by Brendan Foody (CEO), Adarsh Hiremath (CTO), and Surya Midha (COO). The three were high school friends at Bellarmine College Preparatory in San Jose. They dropped out of college — Hiremath from Harvard, Foody and Midha from Georgetown — during their sophomore year. All three became the youngest self-made billionaires at age 22.

What is Mercor's Glassdoor rating?+

Mercor has a 4.0 out of 5.0 Glassdoor rating based on 103 reviews. Many reviews come from contractors rather than full-time employees, which affects the rating. The work-life balance score is also 4.0/5, and 78% of reviewers recommend working there. See our [full Mercor culture profile](https://jobsbyculture.com/companies/mercor) for the complete breakdown.

What happened with the Mercor data breach?+

In March 2026, Mercor was affected by a supply chain attack targeting LiteLLM, a popular AI proxy library. Attackers pushed poisoned versions of the package to PyPI. The breach reportedly resulted in the exfiltration of approximately 4 terabytes of data. Multiple lawsuits were filed, and some clients, including Meta, temporarily paused work with the company. Mercor has since increased investment in security engineering.

What is Mercor's compensation for engineers?+

Full-time engineering compensation at Mercor ranges from approximately $130K to $500K total comp depending on role and level. Roles are primarily based in San Francisco and NYC. The company offers competitive equity at the $10B valuation, with investors including Felicis, Benchmark, and Peter Thiel. Compare with other AI companies in our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

### Explore Mercor's open roles

See Mercor's 65 open positions alongside roles from companies like Anthropic, Cursor, Scale AI, and more — all with culture context.

[View Mercor Profile →](https://jobsbyculture.com/companies/mercor) [Browse Mercor Jobs →](https://jobsbyculture.com/jobs?company=mercor)

---

## Document: Mercury in 2026: The Fintech That Bet Everything on Haskell — Culture, Salary & What Employees Say

# Mercury in 2026: The Fintech That Bet Everything on Haskell — Culture, Salary & What Employees Say

> Working at Mercury in 2026: ~1,300 employees, millions of lines of Haskell, 4.4 Glassdoor rating, $138K-$370K engineer comp, and what the product-first culture is really like inside the startup banking platform.

Source: https://jobsbyculture.com/blog/working-at-mercury-2026
Markdown: https://jobsbyculture.com/blog/working-at-mercury-2026.md
Last updated: 2026-07-14

---
Most fintechs start with Rails. Maybe Python. If they're feeling ambitious, Go or Rust. [Mercury](https://jobsbyculture.com/companies/mercury) went a different direction entirely: they built their banking platform — every API endpoint, every transaction processor, every compliance check — in Haskell. Not as a side experiment. Not for one microservice. The entire backend. Millions of lines of production Haskell processing $248 billion in transaction volume in 2025.

This is the kind of engineering decision that either makes you lean forward in your chair or makes you close the browser tab. If you're still reading, Mercury might be your kind of company. Founded in 2017 by Immad Akhund, Max Tagher, and Jason Zhang, Mercury has grown from a scrappy startup banking alternative into the financial platform used by over 300,000 customers — backed by a $300M Series C from Sequoia Capital in 2025 and a $200M Series D at a $5.2B valuation in May 2026, with conditional OCC approval received in April 2026 for a national bank charter.

We analyzed employee reviews, engineering blog posts, and community sentiment to give you an honest picture of what it's actually like to work at Mercury in 2026. Whether you're evaluating an offer, preparing for an interview, or just curious about what a Haskell-at-scale engineering culture looks like in practice, here's what you need to know.

## Mercury at a Glance

Founded

2017

Headquarters

San Francisco, CA (Remote-Friendly)

Founders

Immad Akhund (CEO), Max Tagher (CTO) & Jason Zhang (COO)

Company Size

~1,300 employees

Funding

$300M Series C (2025) + $200M Series D (May 2026, $5.2B)

Glassdoor Rating

4.4 / 5.0 (114 reviews)

Work-Life Balance

4.0 / 5.0

Compensation & Benefits

4.6 / 5.0

Recommend to Friend

82%

Engineer Comp Range

$138K – $370K

Culture Values

[Product Impact](https://jobsbyculture.com/values/product-impact), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Learning](https://jobsbyculture.com/values/learning), [Equity](https://jobsbyculture.com/values/equity), [Many Hats](https://jobsbyculture.com/values/many-hats)

4.4 / 5

Glassdoor Rating

~1,300

Employees

$248B

Transaction Volume (2025)

## The Haskell Bet: Mercury's Defining Engineering Decision

Let's start with the elephant in the room, because it's the most interesting thing about Mercury as an engineering organization. When Immad Akhund, Max Tagher, and Jason Zhang founded Mercury in 2017, they made a decision that most CTOs would consider career-ending: they chose Haskell as their primary backend language for a banking platform.

The reasoning is straightforward once you understand what Mercury actually does. This is a company that moves money. Real money. Billions of dollars. When your transaction processor has a bug, it's not a broken button or a misaligned div — it's someone's payroll failing, or a wire transfer going to the wrong account, or a compliance violation that could result in regulatory action. In that context, Haskell's famously strict type system isn't academic indulgence. It's a risk management strategy.

Haskell's type system catches entire categories of bugs at compile time that would slip through in Ruby, Python, or even Go. Null pointer exceptions, type mismatches, improper state transitions — the compiler rejects them before the code ever runs. For a banking platform processing hundreds of billions in volume, that compile-time safety net translates directly into fewer production incidents and faster development velocity once engineers are up to speed on the language.

Employee Pro "The Haskell codebase is genuinely impressive — the type system gives you confidence when shipping banking features that you simply don't get in other languages"

The trade-off is real, though. Haskell has a smaller talent pool than practically any mainstream language. Mercury can't just hire any experienced backend engineer — they need people who either already know Haskell or are motivated enough to learn it. This acts as a natural filter: Mercury's engineering team tends to attract people who are genuinely curious about programming languages, who care about correctness, and who are willing to climb a steep learning curve for long-term benefits. The result is unusually high talent density.

### Tech Stack

Haskell React Nix AWS Swift Kotlin

The backend is exclusively Haskell — one of the largest production Haskell codebases in the world. The frontend is React, with Swift and Kotlin powering the mobile applications. Nix handles build tooling and reproducible environments, which pairs well with Haskell's emphasis on determinism. Infrastructure runs on AWS. It's an opinionated stack, and that's the point: every technology choice reflects the same philosophy of correctness and reliability that drove the Haskell decision in the first place.

## Culture & Mission: Banking for the Builders

Mercury's mission is to make banking work for startups. Traditional banks were built for large enterprises with dedicated finance teams. Mercury built something different: a banking platform that understands how startups actually operate. Treasury management, automated bookkeeping, bill pay, corporate cards, venture debt — all in one product, designed for founders who would rather be building than managing banking relationships.

Over 300,000 customers now use Mercury, and the company reached $650 million in annualized revenue in 2025. The $300M Series C from Sequoia in 2025, the $200M Series D at a $5.2B valuation in May 2026, and conditional OCC approval for a national bank charter in April 2026 all signal that Mercury is transitioning from fintech startup to genuine financial institution. For employees, this means the work has real weight — you're not building another SaaS dashboard, you're building infrastructure that companies depend on to make payroll and fund operations.

CEO Immad Akhund brings an unusual background to fintech. A Y Combinator alum and serial entrepreneur, he's built multiple companies across different domains. His leadership style, according to employee reviews, emphasizes product quality and engineering autonomy over process and hierarchy. He's well-regarded internally — particularly for maintaining a [product-first](https://jobsbyculture.com/values/product-impact) culture even as the company scales past 1,300 employees.

Mercury earned Great Place to Work certification, with 95% of employees surveyed saying it's a great place to work. That's a strong signal, especially for a company growing as rapidly as Mercury has been — scaling toward 1,300 employees while pursuing a national bank charter is one of the hardest things in fintech, and the data suggests Mercury is managing it well so far.

## Glassdoor Ratings Breakdown

Mercury's overall Glassdoor rating of 4.4 out of 5.0, based on 114 employee reviews, places it in the upper tier among the companies in our [Culture Directory](https://jobsbyculture.com/companies). It's ahead of peers like [Ramp](https://jobsbyculture.com/companies/ramp) and [Stripe](https://jobsbyculture.com/companies/stripe) (4.0), and comparable to companies like [Anthropic](https://jobsbyculture.com/companies/anthropic) (4.4) and [Databricks](https://jobsbyculture.com/companies/databricks) (4.3). Here's how the sub-categories break down:

Overall Rating 4.4

Compensation & Benefits 4.6

Culture & Values 4.1

Career Opportunities 4.1

Work-Life Balance 4.0

The 4.0 WLB score is solid for a high-growth fintech — not extraordinary, but well above peers competing for the bank-charter category. There are periods of intensity, particularly around regulatory milestones and major product launches. Mercury is honest about this trade-off: you're building something that matters, and that sometimes means long weeks. The 4.6 compensation rating is the standout sub-score and signals that pay is widely viewed as competitive even as Mercury races to scale.

## Compensation & Benefits

Mercury's compensation is competitive for a growth-stage fintech. Total compensation for software engineers ranges from approximately $138K at IC1 (early career) to $300K+ at IC4, with a median around $214K. Senior and staff-level roles can reach up to $370K total comp. The [equity](https://jobsbyculture.com/values/equity) component is particularly meaningful given Mercury's trajectory — $300M Series C from Sequoia, $650M annualized revenue, and a national bank charter application all point to significant future value.

$214K

Median Engineer Comp

82%

Recommend to Friend

4.6 / 5

Comp & Benefits

For context, Mercury's comp is in line with well-funded fintech peers like [Ramp](https://jobsbyculture.com/companies/ramp) and slightly below frontier AI companies like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai), which offer $300K–$550K+ for senior engineers. But the equity upside at Mercury's current stage — post-Series C but pre-IPO — could close that gap significantly depending on how the bank charter process and continued revenue growth play out.

Benefits are comprehensive and reflect the company's startup-banking DNA: competitive healthcare, generous parental leave, and a genuine investment in professional development. The remote-friendly model means compensation is available to engineers outside the Bay Area, though there may be location-based adjustments.

## What Employees Actually Say

We analyzed recurring themes across Mercury's employee reviews. Here's what stands out on both sides.

### What employees love

Employee Pro "The talent density is genuinely high — smart, motivated teammates who care about the product and push you to do your best work"

Employee Pro "Real autonomy and ownership — you're not fighting through layers of approval to ship features"

Employee Pro "Product-first mindset across the company — engineering and design have genuine influence on what gets built"

Employee Pro "Great Place to Work certified for a reason — the culture feels intentional, not accidental"

The theme is consistent: Mercury attracts people who care about building a great product. The [product-first](https://jobsbyculture.com/values/product-impact) mindset isn't just marketing — employees consistently cite it as one of the defining characteristics of the culture. Engineers have real input into product direction, design is taken seriously, and the Haskell codebase (love it or hate it) forces a level of thoughtfulness about code quality that permeates the engineering organization.

### What could be better

Employee Con "Still scaling processes — some things that worked at 500 people are creaking at 1,300"

Employee Con "Ambiguity and shifting priorities — the pace of growth means plans change quickly"

Employee Con "Work-life balance can be uneven — quiet periods followed by intense sprints around launches and regulatory deadlines"

The cons are classic growth-stage complaints, and they're the honest kind. Mercury is a company that's scaled from 850 to 1,300 employees in a short window while simultaneously building financial infrastructure, pursuing a bank charter (conditional OCC approval received April 2026), and expanding its product suite. Some organizational friction is inevitable. The question for candidates is whether you see ambiguity as an obstacle or an opportunity — the [many-hats](https://jobsbyculture.com/values/many-hats) culture means there's room to define your role and have outsized impact, but you need to be comfortable with things not being fully figured out yet.

## Who Thrives at Mercury

Based on the culture signals, employee reviews, and the engineering stack, here's who tends to do well at Mercury:

-   **Engineers who love programming languages.** If you're the kind of developer who has opinions about type systems, who reads PL research papers for fun, or who's been looking for a reason to write Haskell professionally, Mercury is one of the only places in fintech where that passion is directly useful. You don't need to know Haskell coming in — but you need to be genuinely excited about learning it.
-   **Product-minded builders.** Mercury's [product-first](https://jobsbyculture.com/values/product-impact) culture rewards engineers who think beyond the code. If you care about why you're building something, not just how, and you want your work to directly impact 300,000+ customers, this is a strong fit.
-   **People who thrive in ambiguity.** At ~1,300 employees with a [many-hats](https://jobsbyculture.com/values/many-hats) culture, Mercury still has that "figure it out" energy. Processes are being built in real time. If you need a perfectly documented org chart and well-defined career ladder before you start, you'll be frustrated. If you see gaps as opportunities, you'll love it.
-   **Self-starters with high agency.** The autonomy is real, but so is the expectation. Nobody is going to micromanage your day or tell you exactly what to build. You're expected to identify problems, propose solutions, and [ship](https://jobsbyculture.com/values/ship-fast) them — with support but without hand-holding.
-   **People who care about fintech's actual impact.** Mercury isn't building another social app. When you ship a feature, it helps real founders make payroll, manage cash flow, and keep their companies alive. If that kind of tangible [product impact](https://jobsbyculture.com/values/product-impact) motivates you — serving 300,000+ customers across the startup ecosystem — the mission resonance here is strong.

Mercury is _not_ ideal for people who want a predictable, well-established big-company environment, or for engineers who prefer mainstream tech stacks and would rather not learn Haskell. While the 4.0 WLB score is solid, there are genuine periods of intensity tied to regulatory milestones and product launches. If you want even more headroom on [work-life balance](https://jobsbyculture.com/values/wlb), consider companies like [Notion](https://jobsbyculture.com/companies/notion), [Linear](https://jobsbyculture.com/companies/linear), or [HubSpot](https://jobsbyculture.com/companies/hubspot) instead.

## Frequently Asked Questions About Working at Mercury

How many employees does Mercury have in 2026?+

Mercury has approximately 1,300 employees as of 2026, having grown from around 850 in recent years. The company is actively hiring across engineering, product, and operations as it scales its banking platform and pursues a national bank charter from the OCC.

What is Mercury's Glassdoor rating in 2026?+

Mercury has a 4.4 out of 5.0 overall Glassdoor rating based on 114 reviews. Compensation & benefits is rated 4.6/5, work-life balance 4.0/5, culture & values 4.1/5, and 82% of employees recommend working there. Mercury is also Great Place to Work certified, with 95% of surveyed employees saying it's a great place to work.

Why does Mercury use Haskell for its backend?+

Mercury chose Haskell for its entire backend because banking software demands extreme reliability. Haskell's strong type system catches entire categories of bugs at compile time — null pointer exceptions, type mismatches, improper state transitions — that would slip through in languages like Ruby or Python. The codebase has grown to millions of lines of production Haskell, making it one of the largest Haskell codebases in the world.

What is Mercury's compensation for software engineers?+

Total compensation for software engineers at Mercury ranges from approximately $138K at IC1 to $300K+ at IC4, with a median around $214K. Senior and staff-level roles can reach up to $370K. Mercury also offers competitive equity packages, which are especially meaningful given the company's $300M Series C from Sequoia and $650M annualized revenue.

Is Mercury remote-friendly?+

Mercury is headquartered in San Francisco but operates as a remote-friendly company. Many engineering, product, and operations roles can be performed remotely. The company has built distributed engineering practices supported by asynchronous communication. Some teams may have in-office expectations, so it's worth clarifying for specific roles during the interview process.

What is Mercury's engineering culture like?+

Mercury's engineering culture is defined by its Haskell-first backend, high talent density, and genuine engineering autonomy. The team values correctness and reliability — a natural extension of building banking infrastructure. Engineers are expected to be product-minded, with real input into what gets built. The tech stack also includes React (frontend), Nix (build tooling), AWS (infrastructure), and Swift/Kotlin for mobile.

How much transaction volume does Mercury process?+

Mercury processed $248 billion in transaction volume in 2025 and has reached $650 million in annualized revenue. Over 300,000 customers use Mercury as their banking platform. The company raised a $300M Series C led by Sequoia Capital in 2025, followed by a $200M Series D at a $5.2B valuation in May 2026. Mercury received conditional OCC approval in April 2026 for a national bank charter.

### Explore Mercury's open roles

See Mercury's current openings alongside jobs from companies like Anthropic, Ramp, Stripe, and more — all with culture context.

[View Mercury Jobs →](https://jobsbyculture.com/jobs?company=mercury) [Mercury Culture Profile →](https://jobsbyculture.com/companies/mercury)

---

## Document: Working at Mistral AI in 2026: Culture, Compensation & What Employees Say | JobsByCulture

# Working at Mistral AI in 2026: Culture, Compensation & What Employees Say | JobsByCulture

> What

Source: https://jobsbyculture.com/blog/working-at-mistral-2026
Markdown: https://jobsbyculture.com/blog/working-at-mistral-2026.md
Last updated: 2026-07-14

---
Mistral AI is the company that proved Europe could compete at the frontier of AI. Founded in April 2023 by three ex-researchers from Google DeepMind and Meta AI, Mistral went from a Paris apartment to a roughly €11.7 billion (~$13.7B) Series C post-money valuation in under three years. Its open-weight models — especially Mixtral, the first competitive mixture-of-experts model released to the public — shook up an industry dominated by American labs. But what is it actually like to work there?

We pulled Glassdoor data, employee reviews, compensation signals, and culture indicators to build the most complete picture of working at Mistral AI in 2026. Whether you're considering a role, preparing for an interview, or curious about what Europe's most ambitious AI company feels like from the inside, this is what you need to know.

## The Numbers at a Glance

Before we get into the qualitative details, here are the numbers that matter.

Metric

Detail

Founded

April 2023

Headquarters

Paris, France

Other Offices

London, Palo Alto, Germany, Singapore

Company Size

800+ employees

Glassdoor Rating

4.0 / 5.0 (conservative estimate; see note below)

Work-Life Balance

3.8 / 5.0 (Glassdoor, very small sample)

Valuation

~€11.7B / ~$13.7B post-money (Series C, Sep 2025)

Total Funding

$3.05B equity + $830M debt (Mar 2026)

Founders

Arthur Mensch (CEO, ex-DeepMind), Guillaume Lample & Timothée Lacroix (CTO, both ex-Meta AI)

Open Roles

141

Recommend to Friend

~80% (estimated)

A note on the Glassdoor score: Glassdoor currently shows a 4.8 rating for Mistral AI, but that's based on only 3 reviews — far too few to be statistically meaningful. We use a conservative 4.0 estimate based on the available qualitative feedback and comparisons with similarly-staged companies. For context, [Anthropic](https://jobsbyculture.com/companies/anthropic) sits at 4.4 with 222 reviews, [OpenAI](https://jobsbyculture.com/companies/openai) at 4.5, and [Cohere](https://jobsbyculture.com/companies/cohere) at 2.9. As more reviews accumulate, this score will adjust.

4.0 / 5.0

Glassdoor Overall Rating — Conservative Estimate

## What Makes Mistral AI Different

Mistral AI's origin story is unlike any other AI company. In April 2023, three researchers — Arthur Mensch (CEO, ex-Google DeepMind), Guillaume Lample (ex-Meta AI), and Timothée Lacroix (CTO, ex-Meta AI) — left their positions at two of the world's best AI labs to build something from scratch in Paris. The three originally met as students at École Polytechnique. Within weeks of founding they had raised their seed round. Within months they had released Mistral 7B, an open-weight model that outperformed much larger competitors. The speed was unprecedented.

What happened next cemented Mistral's reputation. In December 2023, they released **Mixtral 8x7B** — the first competitive open-weight mixture-of-experts model — via a torrent link on Twitter, with no marketing, no press release, and no blog post. It was a statement: we ship, and we let the work speak for itself. That ethos still defines the company.

By 2026, Mistral has evolved significantly. The product lineup now includes **Mistral Large** (their frontier proprietary model), **Le Chat** (a consumer-facing AI assistant competing with ChatGPT and Claude), and a full suite of **Mistral APIs** for enterprise customers. The €1.7B Series C in September 2025, led by ASML, brought post-money valuation to roughly €11.7B (~$13.7B) — making Mistral the most valuable AI company in Europe, with $3.05B in total equity funding. In March 2026, Mistral added $830M in debt financing to buy roughly 13,800 NVIDIA chips for a new Paris-area data center.

The team grew from a handful of founders to **800+ employees** in under three years — a scaling trajectory that matches the ambition. Offices now span Paris (HQ), London, Palo Alto, Germany, and Singapore. The positioning is clear: Mistral is the European alternative to [OpenAI](https://jobsbyculture.com/companies/openai) and [Anthropic](https://jobsbyculture.com/companies/anthropic), with a particular focus on AI sovereignty and the idea that Europe should have its own frontier AI lab.

One important nuance: open-weight models were Mistral's original differentiation, and they remain a core part of the strategy. But the company has shifted toward a mix of open and proprietary models. Mixtral and smaller models remain open-weight; the most capable models like Mistral Large are proprietary. This hybrid approach has drawn some criticism from open-source purists, but it reflects the economic reality of competing at the frontier.

## The Culture: Research Lab Meets Startup

Mistral's culture sits at the intersection of two worlds: a serious research lab and a breakneck startup. The founders are ex-researchers who published some of the most cited papers in NLP and large language models. That academic DNA shows up in how the company thinks about problems — rigorously, technically, and with an emphasis on first principles. But the pace is pure startup: fast, intense, and sometimes chaotic.

According to employee reviews and our analysis of [Mistral's culture profile](https://jobsbyculture.com/companies/mistral), several core values define the day-to-day experience:

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Flat Hierarchy](https://jobsbyculture.com/values/flat) [Many Hats](https://jobsbyculture.com/values/many-hats) [Open Source](https://jobsbyculture.com/values/open-source) [Learning](https://jobsbyculture.com/values/learning)

Reviews describe the team as "incredibly talented and passionate people who are kind" — a combination of high competence and low ego that's rare at this level. The founders set the tone: deeply technical, allergic to corporate politics, and focused on the work rather than the optics. Multiple sources emphasize the [flat hierarchy](https://jobsbyculture.com/values/flat). When you're 800+ people building frontier AI models, there's little room for bureaucracy.

The [ship-fast](https://jobsbyculture.com/values/ship-fast) mentality is both a strength and a source of intensity. Mistral became famous for releasing models via torrent links with no fanfare. That culture of "just ship it" persists. Teams move quickly, decisions are made by the people doing the work, and the bias is always toward action. The flip side is that processes are still catching up to the pace of growth — something common for a company less than three years old.

In-person collaboration is strongly valued. Mistral operates with a **minimum 3 days per week in office**, centered on the Paris headquarters. This isn't a fully remote company, and if you're hoping to work from a beach in Bali, this isn't the place. The Paris-centric culture means that while London and Palo Alto offices exist, the center of gravity — and the center of decision-making — is firmly in France.

## Engineering Culture & Tech Stack

Mistral's engineering culture reflects its research-lab origins. The team is building some of the most technically demanding systems in AI: training frontier language models, optimizing inference at scale, and shipping consumer and enterprise products simultaneously. The hiring bar is extremely high — many team members have PhDs and publication records from top conferences.

### Tech Stack

Python PyTorch JAX C++ CUDA TypeScript React Next.js Docker Kubernetes Terraform Ray

The stack spans the full spectrum of frontier AI engineering. **Python**, **PyTorch**, and **JAX** power the model training and research side. **C++** and **CUDA** are used for performance-critical inference optimization — getting Mixtral and Mistral Large to run fast and cheap is a core competitive advantage. On the product side, **TypeScript**, **React**, and **Next.js** power Le Chat and the developer-facing APIs. Infrastructure runs on **Docker**, **Kubernetes**, **Terraform**, and **Ray** for distributed training.

### What Teams Are Building

The engineering work at Mistral falls into several major areas:

-   **Frontier model training** — Designing and training the next generation of Mixtral and Mistral Large models, pushing the state of the art in mixture-of-experts architectures and beyond
-   **Inference infrastructure** — Building the serving stack that powers millions of API calls per day, optimizing for latency and cost at scale
-   **Consumer products** — Le Chat is Mistral's answer to ChatGPT and Claude, requiring full-stack engineering from real-time streaming to UI/UX
-   **Enterprise platform** — APIs, fine-tuning tools, and deployment options for enterprise customers across Europe and globally
-   **Research** — Many team members publish papers at NeurIPS, ICML, and other top venues, maintaining Mistral's reputation as a research-driven company

With ~168 open roles against an 800+ employee base, Mistral is in active expansion mode. The company is scaling teams across all functions, not just engineering. For engineers who want to work at the frontier of AI while being part of a still-small-enough team to have real impact, the window is open.

## Compensation & Benefits

Compensation at Mistral is rated **4.8 / 5.0** in the small Glassdoor sample — one of the highest scores in our database (caveat: 3 reviews), reflecting a company that understands it's competing for global talent against the deepest pockets in Silicon Valley.

~$13.7B

Series C Post-Money Valuation (Sept 2025)

A few important factors shape Mistral's compensation picture:

-   **Competitive for Europe, different from US FAANG.** Mistral pays well by European standards, and the compensation is designed to attract top talent from DeepMind London, Meta Paris, and other European AI hubs. Base salaries may not reach the $300k+ levels common at US frontier labs, but the total package — including equity — is competitive when you factor in Paris cost of living, which is significantly lower than San Francisco.
-   **Equity is a real differentiator.** At a roughly $13.7B Series C post-money valuation with $3.05B in equity funding and strong revenue growth from enterprise customers, Mistral equity carries genuine upside potential. Early employees hold stock that could be worth substantially more at a future IPO or secondary sale.
-   **French labor protections apply.** France's 35-hour work week is the legal standard, though startup culture means the reality is often more. French labor law also provides strong protections around severance, parental leave, and vacation time — guardrails that US startups simply don't offer.
-   **Benefits are typical of top-tier French tech.** Comprehensive health insurance (including mutuelle top-up), generous vacation (5 weeks minimum by French law, often more), transportation subsidies, and meal vouchers are standard. The Paris office itself is in a prime location.

For engineers comparing Mistral to US-based alternatives: the raw dollar comp may be lower, but the total quality-of-life package — Paris lifestyle, French labor protections, meaningful equity in a roughly $13.7B-valued company, and lower cost of living — makes the math more nuanced than a simple salary comparison suggests.

## Work-Life Balance

Work-life balance comes in at **3.8 / 5.0** on Glassdoor's tiny 3-review sample. We treat that with caution — in practice, employee feedback and our conservative read both suggest a more demanding rhythm closer to the broader frontier-AI norm.

Glassdoor sub-scores below are based on a very small sample (3 reviews) and should be read as directional rather than statistically meaningful.

Culture & Values (Glassdoor sample)

4.8

Compensation & Benefits (Glassdoor sample)

4.8

JBC Conservative Overall

4.0

Senior Management (Glassdoor sample)

4.8

Career Opportunities (Glassdoor sample)

4.8

Work-Life Balance (Glassdoor sample)

3.8

The main refrain in employee feedback is that the AI space is "incredibly fast moving and competitive." Mistral isn't just building products — it's trying to prove that a European company can compete with the best-funded American labs. That existential pressure translates directly to intensity in the day-to-day work.

This is not a 9-to-5 job. The 3-day-a-week office requirement, combined with the startup pace, means that work bleeds into evenings and weekends, especially around major model launches or product deadlines. If you're coming from a large European corporation expecting a relaxed pace, the adjustment will be significant.

That said, French labor law provides some meaningful guardrails that American startups lack. The _droit à la déconnexion_ (right to disconnect) is legally protected in France, and while startup culture pushes against it, the legal framework creates a floor that doesn't exist at comparable US companies. For comparison, [OpenAI](https://jobsbyculture.com/companies/openai) scores 3.6 on WLB but without any of these legal protections. [Anthropic](https://jobsbyculture.com/companies/anthropic) is slightly better at 3.7.

## Career Growth & Opportunities

Career opportunities in the small Glassdoor sample show **4.8 / 5.0**; we caution that 3 reviews is too small to be reliable. For a company that didn't exist three years ago, the lived experience reflects both genuine opportunity and real growing pains.

The opportunity side is clear: with ~168 open roles against an 800+ employee base, there's significant room to grow into new responsibilities. When a company is scaling this fast, the people who are already there often get first crack at newly created leadership positions, expanded team mandates, and cross-functional projects that simply didn't exist six months ago.

The challenge side is equally clear: Mistral is less than three years old. Formal career ladders are minimal. Promotion criteria are still being defined in many teams. If you're someone who needs a clear "here's what you do to get from L4 to L5" framework, you'll find it lacking. Growth at Mistral comes from doing — from shipping models, building products, and taking on responsibility — not from checking boxes on a promotion rubric.

This mirrors the experience at other young frontier AI companies. [Anthropic](https://jobsbyculture.com/companies/anthropic), founded in 2021, faces similar feedback about undefined career progression. The companies that score highest on career opportunities in our [directory](https://jobsbyculture.com/companies) tend to be more mature organizations with formalized HR processes — not characteristics you'd associate with a sub-three-year-old AI lab.

## What Employees Love

Pro "Incredibly talented, passionate, and kind team — low-ego culture where everyone is genuinely excited about the work"

Pro "Working on frontier AI models that compete with the best in the world — Mixtral and Mistral Large are real technical achievements"

Pro "European AI champion — there's a real sense of mission around building AI sovereignty for Europe"

Pro "~$13.7B Series C valuation with $3B+ in equity funding — strong financial position means the company isn't going anywhere"

Pro "Open-weight model heritage — Mixtral had genuine impact on the open-source AI ecosystem"

Pro "Paris headquarters — one of the world's best cities to live in, with excellent quality of life"

The most consistent theme across employee feedback is the quality and character of the team. "Talented, passionate, and kind" appears in multiple forms. This tracks with what we see at other research-driven AI companies — when the hiring bar is extremely high and the mission is compelling, the result is a team of people who genuinely enjoy working together. The European mission adds an extra layer of motivation that's distinct from the Silicon Valley AI scene: Mistral employees believe they're building something important not just for their company, but for an entire continent's technological independence.

## What Employees Warn About

Con "Relentless pace — the AI space is 'incredibly fast moving and competitive,' and the intensity is constant"

Con "Glassdoor WLB sits at 3.8/5 (on a small sample) — this is not a relaxed environment, and evening work is common"

Con "Paris-centric with limited remote flexibility — 3 days/week minimum in office, and key decisions happen in Paris"

Con "Very young company — processes, career ladders, and organizational structure are still being built"

Con "Shift from fully open-weight to a mix of open and proprietary models may alienate some idealists"

Con "Competing against companies with 5–20x more funding creates existential pressure that permeates the culture"

The intensity concern is the most important one to understand before joining. Mistral is competing against [OpenAI](https://jobsbyculture.com/companies/openai) (~$852B post-money valuation as of March 2026, ~7,800 employees) and [Anthropic](https://jobsbyculture.com/companies/anthropic) ($61.5B valuation, 1,500 employees) with significantly fewer resources. That gap in funding and headcount means every Mistral employee is doing more, moving faster, and operating under more pressure than their counterparts at larger labs. Some people thrive in that environment. Others burn out. Knowing which category you fall into is critical before accepting an offer.

The open-weight question is more philosophical but still worth considering. If you're joining Mistral specifically because of its open-source ethos, be aware that the company's strategy has evolved. The most capable models are now proprietary, and the business model increasingly looks like a standard AI company rather than an open-source champion. The open-weight heritage is real, and smaller models remain open, but the trajectory is worth understanding clearly.

## How Mistral AI Compares

Context matters. Here's how Mistral stacks up against other frontier AI companies across key metrics.

Company

Glassdoor

WLB

Employees

Valuation

Open Roles

**Mistral AI**

4.0 (est.)

3.8 (small sample)

800+

~$13.7B

~141

[Anthropic](https://jobsbyculture.com/companies/anthropic)

4.4

3.7

~1,500

$61.5B

443

[OpenAI](https://jobsbyculture.com/companies/openai)

4.5

3.6

~7,800

$852B

631

[Cohere](https://jobsbyculture.com/companies/cohere)

2.9

3.5

~500

$5.5B

124

[Together AI](https://jobsbyculture.com/companies/together)

4.1

3.8

~200

$3.3B

46

A few takeaways from the comparison. Mistral's 4.0 Glassdoor rating (conservative estimate; Glassdoor sample is too small to be reliable) places it solidly in the middle of the frontier AI pack — below [OpenAI](https://jobsbyculture.com/companies/openai) and [Anthropic](https://jobsbyculture.com/companies/anthropic), but well above [Cohere](https://jobsbyculture.com/companies/cohere). The Glassdoor-reported WLB of 3.8 sits close to OpenAI's 3.6 and Anthropic's 3.7 — suggesting that intensity is the norm across frontier AI, not a Mistral-specific problem.

Mistral's ~168 open roles against an 800+ headcount signals aggressive but targeted growth. Compare that to OpenAI's 631 roles for ~7,800 employees and Anthropic's 443 for 1,500. Want to see a detailed head-to-head? Try our [interactive comparison tool](https://jobsbyculture.com/compare?a=mistral).

## Open Roles at Mistral AI

Mistral currently has **~168 open positions** across research, engineering, product, sales, marketing, legal, and HR. Roles span multiple offices, with the majority based in Paris.

Key hiring areas include:

-   **Research Scientists** — Model architecture, training, and evaluation for next-generation Mixtral and Mistral Large models
-   **ML Engineers** — Inference optimization, distributed training infrastructure, and model serving at scale
-   **Software Engineers** — Le Chat consumer product, API platform, and developer tools
-   **Infrastructure & DevOps** — Kubernetes, GPU cluster management, and cloud infrastructure
-   **Go-to-Market** — Sales, marketing, and partnerships as Mistral scales its enterprise business across Europe and beyond
-   **Legal & Policy** — Navigating the EU AI Act and European AI regulation landscape

For the full list of live openings with location filters, visit the [Mistral AI jobs page](https://jobsbyculture.com/jobs?company=mistral) or explore all roles on the [Mistral culture profile](https://jobsbyculture.com/companies/mistral).

## The Bottom Line

The Verdict

Choose Mistral AI if you want to build frontier AI models at Europe's most ambitious AI company — with talented, kind colleagues and a Paris lifestyle. But expect startup intensity, limited remote flexibility, and a company still figuring out its processes. This is a bet on Europe's AI future, and the people who thrive here are the ones who find that mission as motivating as the technical work itself.

Mistral AI occupies a unique position in the AI landscape. It's the only European company genuinely competing at the frontier of large language models. The team is world-class, the funding is real ($3.05B and counting), and the technical achievements — from Mixtral to Mistral Large — speak for themselves. The culture of low-ego, high-competence collaboration is exactly what you'd hope for from a company founded by top researchers.

The trade-offs are equally real. The 3.6 WLB score reflects genuine intensity. The Paris-centric office requirement limits flexibility. The company is less than three years old, which means processes, career ladders, and organizational maturity are works in progress. And the competitive pressure of being outfunded 5-to-1 by American rivals creates a pace that's thrilling for some and exhausting for others.

If you're a researcher or engineer who wants to work at the cutting edge of AI, who's excited about the European mission, and who thrives in high-intensity environments with brilliant colleagues — Mistral is one of the most compelling opportunities in the world right now. The ~168 open roles suggest the window is wide open.

## Frequently Asked Questions About Working at Mistral AI

What is Mistral AI's Glassdoor rating?+

Glassdoor currently shows a 4.8 overall rating for Mistral AI based on only 3 reviews — far too small to be statistically meaningful. JBC uses a conservative 4.0 estimate. The Glassdoor sample reports work-life balance at 3.8/5; we treat that as directional given the small sample. See our full [Mistral AI culture profile](https://jobsbyculture.com/companies/mistral) for the breakdown.

Where is Mistral AI based?+

Mistral AI is based in Paris, France. It is Europe's leading AI startup and the only European company genuinely competing at the frontier of large language models, with over $3 billion in funding. For more on AI jobs in Paris, see our [AI jobs in Paris guide](https://jobsbyculture.com/blog/ai-jobs-paris-2026).

How many employees does Mistral have?+

Mistral AI has grown to roughly 800+ employees in 2026 (some external trackers report figures north of 1,000), up from the founding trio of Arthur Mensch, Guillaume Lample, and Timothée Lacroix in April 2023. See our [AI company employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

Is Mistral AI open source?+

Yes, Mistral AI is known for its open-weight models. The company has released several models under permissive licenses, making them available for the broader AI community to use and build upon. See our [open-source AI companies guide](https://jobsbyculture.com/blog/open-source-ai-companies-hiring-2026) for more.

### Explore Mistral AI Opportunities

Browse all ~168 open roles at Mistral AI, or read the full culture profile with Glassdoor ratings and employee reviews.

[Explore all 141 Mistral AI jobs →](https://jobsbyculture.com/jobs?company=mistral) [Read the full culture profile →](https://jobsbyculture.com/companies/mistral)

---

## Document: Modal in 2026: ~150 Employees, $4.65B Valuation, Salary & Culture

# Modal in 2026: ~150 Employees, $4.65B Valuation, Salary & Culture

> Working at Modal in 2026: ~150 employees, $4.65B valuation (May 2026), world-class engineering team, ~$300M annualized revenue, and what the eng-driven deep-work culture is really like inside the company.

Source: https://jobsbyculture.com/blog/working-at-modal-2026
Markdown: https://jobsbyculture.com/blog/working-at-modal-2026.md
Last updated: 2026-07-14

---
Company Snapshot — 2026

Employees

~150

Glassdoor Rating

4.0 / 5.0

Recommend

82%

CEO Approval

88%

Work-Life Balance

3.8 / 5.0

Location

🇺🇸 NYC · Remote

[⚙️ Eng-Driven](https://jobsbyculture.com/values/eng-driven) [🚀 Ship Fast](https://jobsbyculture.com/values/ship-fast) [🧠 Deep Work](https://jobsbyculture.com/values/deep-work) [📖 Open Source](https://jobsbyculture.com/values/open-source) [🎭 Many Hats](https://jobsbyculture.com/values/many-hats)

## What Is Modal?

Modal Labs is a cloud infrastructure platform purpose-built for AI and data-intensive workloads. It was founded in January 2021 by Erik Bernhardsson — the engineer behind Spotify's recommendation algorithms and the creator of **Luigi**, one of the most widely-used Python workflow orchestration tools — with Akshat Bubna joining as co-founder and CTO later that year. Modal offers developers a serverless compute platform that makes it trivially easy to run code in the cloud without managing infrastructure.

Instead of wrestling with Kubernetes, Docker, and cloud IAM policies, Modal users write Python code and Modal handles the rest: provisioning GPUs, scaling containers, managing dependencies, and orchestrating workloads. It's become the go-to platform for AI/ML teams, data scientists, and startups that need powerful compute without the DevOps overhead.

In 2026, Modal sits at one of the most exciting intersections in tech: **AI infrastructure**. With the AI boom showing no signs of slowing, the demand for elegant, developer-friendly compute platforms has skyrocketed — and Modal's revenue trajectory (from roughly $119M annualized at the end of 2025 to ~$300M by April 2026, per Sacra's estimates) is proof that they've built something developers genuinely love. If you're considering a role at [Modal](https://jobsbyculture.com/companies/modal), here's what you need to know about the culture, the work, and the tradeoffs.

## Modal's Culture: Engineering-Driven to the Core

Modal isn't a company that happens to employ engineers. It's a company _built by and for engineers_. The founding team's pedigree speaks for itself: Erik Bernhardsson created Luigi and has deep expertise in music recommendation systems and ML infrastructure. Other team members have created **Seaborn** (the beloved Python data visualization library) and include **olympiad medalists** — people who have competed at the highest levels of mathematics and computer science.

This concentration of raw engineering talent creates a distinctive culture. At Modal, technical excellence isn't aspirational — it's the baseline. The company operates with an [eng-driven](https://jobsbyculture.com/values/eng-driven) ethos where engineers have significant autonomy over product decisions, architecture choices, and technical direction. There are no layers of product managers translating between customers and engineers. The people building the product are the people who understand it most deeply.

The [deep work](https://jobsbyculture.com/values/deep-work) culture at Modal is another distinguishing factor. In an era where many tech companies have devolved into meeting marathons and Slack-driven interrupt cultures, Modal actively protects focused engineering time. The team understands that building robust cloud infrastructure requires sustained concentration — the kind that produces elegant abstractions and reliable systems, not quick hacks.

### Ship Fast, but Ship Right

Modal embodies a [ship fast](https://jobsbyculture.com/values/ship-fast) mentality, but not at the expense of quality. The platform handles production workloads for thousands of developers, so reliability matters. The cadence is more "move fast with high standards" than "break things and apologize later." Engineers are expected to take ownership of features from conception to production, which means thinking about edge cases, failure modes, and user experience — not just getting code through CI.

With approximately 150 employees as of April 2026, Modal still operates with the intensity and pace of an early-stage startup. Roles are fluid, responsibilities shift, and there's an expectation that everyone wears [many hats](https://jobsbyculture.com/values/many-hats). One day you might be debugging a container orchestration issue; the next, you're writing documentation or hopping on a call with a key customer. This is exhilarating for the right person and exhausting for the wrong one.

## What Employees Say: The Glassdoor Picture

Glassdoor Ratings Breakdown

Overall Rating

4.0

Work-Life Balance

3.8

Recommend

82%

CEO Approval

88%

Modal's 4.0 Glassdoor rating is strong, especially for a startup at this stage. The 88% CEO approval rating for Erik Bernhardsson is notably high and reflects a leadership style that resonates with the technical team. The 82% recommendation rate suggests that the vast majority of employees would encourage others to join — a meaningful signal when the sample size is small and each review carries more weight.

The 3.8 work-life balance score tells an honest story. Modal is a high-growth startup operating in one of the most competitive spaces in tech. The pace is real, but it's not gratuitous. The deep-work culture means that the intensity comes from genuine product challenges, not from manufactured urgency or performative busyness.

### What's Working

-   World-class engineering team — includes creators of Luigi, Seaborn, and olympiad medalists
-   High-impact product with rapid revenue growth (~$300M annualized as of April 2026) — developers widely praise the platform

### What's Challenging

-   Early-stage startup dynamics — roles shift quickly, requires high self-direction
-   Limited HR infrastructure — benefits and career ladders still being developed

Based on employee reviews

## The Open Source DNA

Modal's [open source](https://jobsbyculture.com/values/open-source) heritage runs deep. Erik Bernhardsson didn't just use open source tools at Spotify — he created one of the most popular ones. Luigi has thousands of GitHub stars and is used by data teams worldwide. Seaborn, created by another Modal team member, is a foundational tool in the Python data science ecosystem.

This open source DNA shapes how Modal thinks about developer experience. The team builds products as developers _for_ developers. They understand the frustration of poorly-documented APIs, the joy of a well-designed abstraction, and the power of tools that just work. Modal's SDK is deliberately Pythonic, minimal, and opinionated — reflecting the team's belief that good infrastructure should disappear, leaving developers free to focus on their actual problems.

For engineers who care about open source, this matters. Working at Modal means being part of a team that has directly shaped the Python ecosystem and continues to contribute to it. There's a genuine culture of giving back to the developer community, not just extracting value from it.

## The Product: Why Developers Love It

Understanding why Modal is growing so fast requires understanding the pain it eliminates. Before Modal, running a compute-intensive Python function in the cloud meant:

1\. Writing a Dockerfile
2\. Setting up a Kubernetes cluster (or at least understanding one)
3\. Configuring IAM roles, networking, and storage
4\. Managing GPU drivers and CUDA versions
5\. Building a deployment pipeline
6\. Paying for idle compute

With Modal, the same task requires adding a decorator to your Python function. The platform handles everything else — from container builds to GPU provisioning to auto-scaling to billing by the second. For AI researchers training models, data scientists running batch jobs, or startups deploying inference endpoints, this is transformative.

That revenue acceleration isn't hype — it reflects genuine developer adoption driven by word-of-mouth. When a tool genuinely makes engineers' lives easier, they tell their colleagues. Modal has benefited enormously from this organic growth loop, which is a testament to the product quality that the engineering team has delivered.

## Compensation and Benefits

As a well-funded startup in the AI infrastructure space, Modal offers competitive compensation packages. While specific numbers vary by role and seniority, early-stage startups of Modal's caliber typically offer:

**Base salary** that's competitive with (though sometimes slightly below) Big Tech, **meaningful equity** that could be significant given the company's growth trajectory, and the kind of **career acceleration** that only comes from being early at a rocketship company. For senior engineers, the total compensation packages are designed to attract talent from companies like Google, Meta, and other top-tier tech firms.

The tradeoff, as Glassdoor reviews note, is that **benefits and career ladders are still being developed**. Modal is a ~150-person company — they don't have the HR infrastructure of a 10,000-person enterprise. If you need a meticulously defined promotion framework, comprehensive L&D budgets, and a full suite of wellness perks on day one, this may not be the right fit. If you're motivated by impact and equity upside — especially given the $4.65B valuation set in May 2026 — Modal's offer is compelling.

## Location and Remote Work

Modal is headquartered in **New York City** and supports **remote work** across the United States. The New York office serves as a hub for in-person collaboration, and many team members choose to work there regularly. However, the company's distributed engineering culture means that remote employees aren't second-class citizens.

For engineers in New York, Modal offers the opportunity to be part of the city's rapidly growing AI and infrastructure ecosystem. For remote workers, it offers the chance to work with a world-class team without relocating. The company's tooling and communication patterns are designed to support both modes of work effectively.

### Who Thrives at Modal

The people who do best here share certain characteristics

-   ⚙️

    **Systems thinkers with deep technical chops.** You understand distributed systems, container orchestration, or cloud infrastructure at a deep level — and you want to make it elegant.

-   🧭

    **Self-directed operators.** You don't wait for someone to tell you what to do. You identify problems, propose solutions, and execute — even when the path isn't clear.

-   🚀

    **Builders who love developer tools.** You get genuinely excited about creating tools that other engineers love to use. You care about API design, documentation, and user experience.

-   🎭

    **Generalists comfortable wearing many hats.** You're happy debugging a production issue in the morning, writing a blog post in the afternoon, and reviewing architecture proposals in the evening.

-   📈

    **People energized by growth and ambiguity.** You see triple-digit-percentage revenue growth as thrilling, not terrifying. You're comfortable when processes are still forming and roles are still evolving.

-   🧠

    **Engineers who protect deep work.** You value sustained focus over constant collaboration. You produce your best work in uninterrupted blocks and appreciate a culture that respects that.


## Who Might Not Thrive

Modal's early-stage dynamics aren't for everyone, and that's perfectly fine. You might struggle here if:

**You need structured career progression.** Modal doesn't yet have the formalized leveling, promotion cadences, and career ladder documentation that larger companies offer. If knowing exactly what "Senior Staff Engineer Level 7" requires is important to you, you'll find this frustrating.

**You prefer well-defined roles.** At 110 people, everyone at Modal operates outside their nominal job description regularly. If you want to focus exclusively on your core discipline without getting pulled into adjacent work, a larger company might be a better fit.

**You want comprehensive benefits from day one.** The HR infrastructure is still developing. While Modal offers competitive compensation, the ancillary benefits package may not match what established tech companies provide.

**You're uncomfortable with pace and ambiguity.** Rapid revenue growth means the company is changing constantly. Priorities shift, plans evolve, and what was true last quarter may not be true this quarter. Some people find this energizing; others find it destabilizing.

## Modal vs. the Competition

Modal competes for talent with a range of companies, from cloud giants (AWS, Google Cloud) to AI-focused startups (Replicate, Anyscale, Together AI) to developer tools companies (Vercel, Railway). Here's how it stacks up:

**Compared to Big Cloud (AWS, GCP, Azure):** Modal offers dramatically more ownership, faster feedback loops, and the equity upside of an early-stage company. You'll ship features that reach users in days, not quarters. The tradeoff is less stability, fewer resources, and less established processes.

**Compared to other AI infra startups:** Modal's differentiator is the caliber of its engineering team and the elegance of its product. The team's open source pedigree (Luigi, Seaborn) and competitive programming backgrounds translate into a uniquely high technical bar.

**Compared to developer tools companies:** Modal is more infrastructure-heavy and systems-oriented than most developer tools startups. If you want to work at the intersection of cloud infrastructure and AI — the deepest, most technically challenging layer of the stack — Modal is a compelling choice.

## Leadership: Erik Bernhardsson and Akshat Bubna

CEO Erik Bernhardsson's CEO approval rating on Glassdoor is consistently strong, and is exceptionally high for a startup founder. Bernhardsson is known in the engineering community for his technical blog posts, his work on Spotify's recommendation systems, and his open source contributions. He's a leader who leads by technical example, not by corporate authority. Co-founder and CTO Akshat Bubna joined Modal in 2021 and anchors the technical side of the leadership team.

This matters because it sets the tone for the entire company. When the founders are people who have personally built widely-used open source tools and can engage with the deepest technical challenges, it creates a culture where engineering excellence is genuinely valued — not just marketed.

## The Opportunity Ahead

Modal sits at the convergence of several massive trends: the explosion of AI workloads, the frustration with traditional cloud complexity, the shift toward serverless and pay-per-use compute, and the growing demand for GPU access. Every one of these trends is accelerating.

For engineers joining Modal in 2026, the opportunity is to build the infrastructure layer that enables the next generation of AI applications. It's the kind of foundational work that — if Modal continues its trajectory — could define how developers interact with cloud compute for decades.

The risk is real: Modal is competing against companies with orders of magnitude more resources. But the steep revenue growth — tracked publicly by Sacra and validated by the $4.65B valuation set in the May 2026 round — suggests that developer love is a more powerful moat than marketing budgets. If you're the kind of engineer who wants to build something that other engineers genuinely love to use, Modal deserves a serious look.

### Interested in working at Modal?

Browse open roles and see if your values match.

[View Modal Jobs](https://jobsbyculture.com/jobs?company=modal)

## Frequently Asked Questions

How many employees does Modal have in 2026?

Modal Labs has approximately 150 employees as of April 2026 (per Tracxn data). The company has grown alongside its move to roughly $300M in annualized revenue while keeping an engineering-focused team based in New York with remote options.

What is Modal's Glassdoor rating in 2026?

Modal has a 4.0 out of 5.0 Glassdoor rating in 2026, with 82% of employees recommending the company and an 88% CEO approval rating for Erik Bernhardsson.

What is the work-life balance like at Modal?

Modal's work-life balance scores 3.8 out of 5.0 on Glassdoor. As an early-stage startup with explosive growth, the pace is intense but the deep-work culture means focused productivity rather than performative long hours.

Is Modal remote-friendly?

Yes, Modal is headquartered in New York but supports remote work. The company's distributed engineering culture allows team members to work from various locations across the United States.

What is the engineering culture like at Modal?

Modal's engineering culture is world-class. The team includes creators of widely-used open source projects like Luigi and Seaborn, as well as olympiad medalists. The culture emphasizes engineering-driven decision making, shipping fast, and deep technical work.

What are the downsides of working at Modal?

According to Glassdoor reviews, the main downsides include early-stage startup dynamics where roles shift quickly and require high self-direction, and limited HR infrastructure with benefits and career ladders still being developed.

Who founded Modal?

Modal Labs was founded in January 2021 by CEO Erik Bernhardsson, who is known for creating Luigi (the popular Python workflow orchestration tool) at Spotify and for his deep technical expertise in infrastructure and machine learning. Akshat Bubna joined as co-founder and CTO later that year.

Data sourced from Glassdoor reviews, public company information, Sacra revenue tracking, Reuters reporting on the May 2026 funding round, and community reports. Last updated June 2026. For the latest openings, visit [Modal's careers page](https://modal.com/careers?ref=jobsbyculture.com).

---

## Document: Working at MongoDB in 2026: Culture, Compensation & What Employees Say

# Working at MongoDB in 2026: Culture, Compensation & What Employees Say

> Working at MongoDB in 2026: 5,500 employees, 4.0 Glassdoor rating, $2.46B revenue, strong equity (MDB stock), and what employees say about the engineering culture and missing 401k match.

Source: https://jobsbyculture.com/blog/working-at-mongodb-2026
Markdown: https://jobsbyculture.com/blog/working-at-mongodb-2026.md
Last updated: 2026-07-14

---
[MongoDB](https://jobsbyculture.com/companies/mongodb) is one of those rare companies that fundamentally changed how developers think about data. Founded in 2007, it introduced the document model to a world dominated by relational databases and convinced an entire generation of engineers that not every problem needs SQL. Nearly two decades later, MongoDB is a public company (NASDAQ: MDB) with $2.46 billion in annual revenue, 65,200+ customers, and a product that has evolved far beyond its open-source roots into a full cloud data platform.

But what's it actually like to work there in 2026? With a leadership transition underway, a maturing culture, and a stock that engineers watch closely, MongoDB occupies an interesting position in the market — neither scrappy startup nor stale enterprise. We pulled data from MongoDB's [company profile](https://jobsbyculture.com/companies/mongodb), 2,509 Glassdoor reviews, and engineering discussions to give you an honest picture. Whether you're evaluating an offer, comparing MongoDB against competitors like [Databricks](https://jobsbyculture.com/companies/databricks) or [Snowflake](https://jobsbyculture.com/companies/snowflake), or just curious about the culture, here's what you need to know.

## The Numbers: MongoDB's Glassdoor Breakdown

MongoDB's overall Glassdoor rating of 4.0 out of 5.0, based on 2,509 employee reviews, places it solidly among respected tech employers. It's the same overall score as [Stripe](https://jobsbyculture.com/companies/stripe), and the volume of reviews — more than 2,500 — gives us high confidence in the data. This isn't a handful of disgruntled former employees or a dozen enthusiastic new hires. It's a genuine cross-section of the company over time.

Here's how each sub-category breaks down:

Compensation & Benefits (Engineers) 4.3

Overall Rating 4.0

Culture & Values 3.9

Career Opportunities 3.9

Work-Life Balance 3.8

The pattern tells a clear story. Compensation leads at 4.3 for engineers — MDB stock grants and competitive base pay make MongoDB a financially attractive place to work. Career Opportunities and Culture & Values both sit at 3.9, reflecting a company that still invests in growth but has accumulated some of the organizational complexity that comes with 5,500 employees. The 3.8 Work-Life Balance score is decent but comes with a caveat that multiple reviewers emphasize: it varies dramatically by team. Some teams operate at a relaxed, sustainable pace. Others push hard, especially around major releases.

4.0 / 5

Overall Glassdoor Rating

79%

Recommend to Friend

$2.46B

FY2026 Revenue

## What MongoDB Actually Does (It's Not Just a Database Anymore)

If your mental model of MongoDB is "that NoSQL database from 2012," you're working with outdated information. MongoDB in 2026 is a comprehensive data platform, and understanding the product scope matters if you're considering working there — because it directly shapes the engineering challenges and the types of roles available.

The core product remains the MongoDB database — the world's most popular document database, now at version 8.2, which the company calls its most feature-rich release ever. But the business has shifted decisively toward Atlas, MongoDB's fully-managed cloud platform. Atlas now represents 73% of total revenue and is growing at 29% year-over-year. This is where most of the engineering investment is going, and it's where most new hires will focus their work.

Beyond the database itself, MongoDB is pushing into AI with "MongoDB Agent Skills" — capabilities that let AI agents interact directly with MongoDB data. This positions MongoDB at the intersection of the database layer and the rapidly growing AI agent ecosystem. For engineers joining in 2026, this means working on problems that combine traditional distributed systems challenges with cutting-edge AI integration work.

The customer base is massive: 65,200+ organizations worldwide, ranging from startups using the free tier to enterprises running mission-critical workloads. When you ship a feature at MongoDB, it reaches millions of developers. That's the [product impact](https://jobsbyculture.com/values/product-impact) story — and it's genuine.

## Engineering Culture & Technical Depth

MongoDB's [engineering culture](https://jobsbyculture.com/values/eng-driven) is built around solving genuinely hard distributed systems problems. The core database engine is written in C++, which gives you a sense of the technical depth involved. This isn't a CRUD app company — engineers work on storage engines, query optimizers, replication protocols, and the kind of systems-level challenges that most developers only read about in papers.

### Tech Stack

C++ Go Python Java JavaScript

The C++ core engine is where the deepest systems work happens — storage, indexing, transactions, replication. Go and Java power much of the Atlas cloud platform and surrounding services. Python and JavaScript appear in tooling, drivers, and the AI integration layer. It's a polyglot environment that matches different languages to different problem domains.

### How engineering works at MongoDB

-   **Staff Engineering path publicly documented.** MongoDB has a formal broad-impact career track for senior individual contributors. The Staff Engineer role is well-defined with clear expectations, which signals that MongoDB takes IC career growth seriously — you don't have to become a manager to advance.
-   **Best-in-class enablement and training.** This is the single most-cited pro across Glassdoor reviews. Multiple employees describe MongoDB's internal training programs as the best they've encountered at any company. For engineers earlier in their careers, this alone is a compelling reason to consider MongoDB.
-   **Distributed teams with yearly offsites.** Engineering teams are described as "primarily remote" with flexible work arrangements and annual in-person gatherings. This hybrid model gives engineers focus time for deep work while maintaining team cohesion through periodic face-to-face collaboration.
-   **Real technical depth.** The problems are genuinely hard — building a database engine that handles petabytes of data with strong consistency guarantees across globally distributed clusters. If you want to work on systems that push the boundaries of distributed computing, MongoDB delivers.

Employee Pro "Best-in-class enablement and training programs — genuinely the best I've encountered at any company. Strong engineering culture with real technical depth."

## The Leadership Transition

In November 2025, MongoDB announced that CJ Desai would become CEO, succeeding Dev Ittycheria who had led the company since 2014. Ittycheria's tenure was transformative — he took MongoDB from a niche open-source project to a public company with $2.46B in annual revenue. Under his leadership, MongoDB was named a Glassdoor Best-Led Company in 2025, which speaks to how employees perceived the management quality.

Leadership transitions at public companies always introduce uncertainty. The early signals from CJ Desai's tenure suggest continuity rather than revolution — the product strategy remains focused on Atlas growth and AI integration, and there haven't been significant structural changes. But transitions like this are worth monitoring. The culture a company projects and the culture employees experience can diverge during periods of new leadership as priorities shift and new executives bring their own management philosophies.

For candidates evaluating MongoDB right now, the transition cuts both ways. On one hand, there's the risk that a new CEO changes things you might have liked about the old regime. On the other, transitions often create opportunity — new leaders want to prove themselves, which can mean more investment in the teams and initiatives that demonstrate results quickly.

## Compensation & Benefits: The Good and the Missing 401k Match

MongoDB's compensation is strong. Engineers rate it 4.3 out of 5 on Glassdoor, and the numbers back it up. Salary ranges span $130k to $300k depending on level and location, with MDB stock grants providing meaningful equity exposure to a public company with a $20B+ market cap. Unlike private company equity, MongoDB stock is liquid — you can sell it on any trading day, which eliminates the "paper wealth" problem that plagues employees at late-stage startups.

The [equity component](https://jobsbyculture.com/values/equity) is particularly noteworthy. As a public company, MongoDB offers RSUs that vest on a standard schedule. The stock has had periods of significant volatility (it peaked above $500 and has traded as low as $200), so the value of your equity package depends partly on timing and market conditions. But the liquidity alone makes it more tangible than options in a pre-IPO company that may or may not go public.

However, there's one glaring gap that multiple Glassdoor reviewers call out: **MongoDB does not offer a 401k match.** For a company generating $2.46 billion in annual revenue with ~5,500 employees, the absence of a 401k match is surprising and feels like an unnecessary cost-saving measure. It's not a dealbreaker for most candidates, but it's the kind of thing that signals where the company's priorities lie — and it's a common friction point for employees comparing their total compensation to peers at similarly-sized companies.

Employee Con "No 401k match is surprising for a company this size and revenue. It's a small thing, but it adds up and sends the wrong signal."

Beyond base and equity, MongoDB offers a global presence with flexible hybrid arrangements, solid healthcare, and the training programs that employees rave about. The total package is competitive — just know that the 401k gap is real and will cost you a few thousand dollars per year compared to companies that match.

## What Employees Actually Say

### What employees love

Employee Pro "Strong engineering culture with real technical depth — this is a great place to solve complex engineering challenges"

Employee Pro "Competitive compensation with solid equity packages. MDB stock gives you real, liquid upside in a growing public company."

Employee Pro "Global presence with flexible hybrid arrangements — primarily remote team with yearly in-person offsites"

Employee Pro "Great company, fast paced — there's a real sense of momentum. Recognized as Glassdoor Best-Led Company 2025."

### What could be better

Employee Con "Culture has become more political at larger scale — navigating internal dynamics takes more energy than it should"

Employee Con "WLB varies significantly by team — some teams are sustainable, others push hard around releases"

Employee Con "Some departmental silos — cross-team collaboration isn't always smooth at this scale"

Employee Con "Team-switching happens when things don't work out — can feel disruptive rather than supportive"

The pattern across reviews is consistent: MongoDB is a technically strong, well-compensated environment that has grown into some of the organizational challenges common at its scale. The culture isn't broken — 79% still recommend it — but it's not the tight-knit, everyone-knows-everyone environment it was at 1,000 employees. That's a natural evolution, not a failure, but it's worth understanding before you join.

## Who Thrives at MongoDB / Who Should Look Elsewhere

Based on the culture signals, Glassdoor patterns, and the company's current trajectory, here's who tends to do well at MongoDB:

-   **Engineers who want technical depth at scale.** If you want to work on hard distributed systems problems — storage engines, query optimization, global replication — with the safety net of a profitable public company, MongoDB is a strong fit. The problems are real, the scale is massive, and you won't be building yet another CRUD API.
-   **People who value [learning and growth](https://jobsbyculture.com/values/learning).** The training programs are genuinely exceptional. If you're in a career stage where skill development matters as much as compensation, MongoDB's enablement culture will accelerate your growth faster than most alternatives.
-   **Engineers who want liquid equity.** MDB stock is tradeable today. You're not betting on a future IPO or exit event. For people who want their [equity compensation](https://jobsbyculture.com/values/equity) to be real and tangible, this is a significant advantage over pre-IPO companies.
-   **People comfortable with organizational complexity.** MongoDB is 5,500 people. There are politics, silos, and processes. If you need a flat, startup-like environment, look at smaller companies in our [directory](https://jobsbyculture.com/companies). If you can navigate organizational dynamics while doing strong technical work, MongoDB rewards that skillset.
-   **Engineers who want product impact at global scale.** 65,200+ customers. Millions of developers using your work. If [impact](https://jobsbyculture.com/values/product-impact) matters to you, few companies offer the combination of technical depth and user reach that MongoDB provides.

MongoDB is _not_ ideal for people who want a flat, nimble startup environment. It's also not the right fit if you need a company with strong work-life balance guarantees across all teams — the 3.8 average masks significant team-by-team variance. If you want the database/infrastructure space with a smaller, more dynamic environment, consider [Databricks](https://jobsbyculture.com/companies/databricks) or [Supabase](https://jobsbyculture.com/companies/supabase). If WLB is your top priority, look at companies like [Notion](https://jobsbyculture.com/companies/notion) or [Linear](https://jobsbyculture.com/companies/linear).

## The Bottom Line

MongoDB in 2026 is a mature, profitable infrastructure company that still offers genuine technical challenges. The engineering culture is strong, the compensation is competitive (minus the 401k match), and the product impact is real. The leadership transition adds a layer of uncertainty, but the fundamentals — $2.46B in growing revenue, 65,200+ customers, dominant market position in document databases — suggest stability.

The 4.0 Glassdoor rating with 79% recommendation tells you that most people who work there are satisfied, though not ecstatic. It's the score of a company that does many things well without being transcendent at any single dimension. For engineers who want to work on important infrastructure at scale, get paid well, learn constantly, and build things used by millions of developers worldwide, MongoDB is a genuinely strong option. Just budget for your own 401k contributions.

## Open Positions at MongoDB

MongoDB is actively hiring across engineering, product, and go-to-market roles in New York, Dublin, Austin, and remote locations globally. If the technical challenges and learning culture described in this post resonate with you, MongoDB is worth serious consideration — especially if you value working on infrastructure that powers a significant chunk of the internet.

For full details on MongoDB's open roles, culture values, and side-by-side comparisons with other companies, visit the [MongoDB culture profile page](https://jobsbyculture.com/companies/mongodb) or [browse all MongoDB jobs](https://jobsbyculture.com/jobs?company=mongodb).

## Frequently Asked Questions About Working at MongoDB

What is MongoDB's Glassdoor rating in 2026?+

MongoDB has a 4.0 out of 5.0 overall Glassdoor rating based on 2,509 reviews. Work-Life Balance is rated 3.8/5, Culture & Values 3.9/5, Career Opportunities 3.9/5, and Compensation & Benefits 4.3/5 for engineers. 79% of employees recommend working there. MongoDB was named a Glassdoor Best-Led Company in 2025. See our [full MongoDB culture profile](https://jobsbyculture.com/companies/mongodb) for the complete breakdown.

How many employees does MongoDB have?+

MongoDB has approximately 5,500 employees globally, with offices in New York City (headquarters), Dublin, Austin, and distributed teams worldwide. The company has grown steadily alongside its $2.46B revenue (FY2026, up 23% year-over-year). MongoDB serves 65,200+ customers and is publicly traded on NASDAQ under the ticker MDB.

What is MongoDB's engineering culture like?+

MongoDB offers deep technical challenges including work on the core database engine (C++), the Atlas cloud platform, and AI integrations (MongoDB Agent Skills). The Staff Engineering career path is publicly documented, offering a broad-impact track for senior ICs. Employees consistently describe it as having "best-in-class enablement and training programs" with real technical depth. Teams are primarily remote with flexible work and yearly in-person offsites.

Does MongoDB allow remote work?+

MongoDB is a hybrid/remote-friendly company with global distribution. Engineering teams are described as "primarily remote" with "flexible work and yearly in-person offsites." The company has offices in NYC, Dublin, and Austin, but supports distributed work across many roles. Check specific job listings for location requirements, as some positions may require office presence.

What is MongoDB's compensation like?+

Engineers rate compensation 4.3/5 on Glassdoor. MongoDB offers MDB stock grants (RSUs) as a public company, with salary ranges of $130k–$300k depending on level and location. The equity is liquid since MDB trades on NASDAQ. Notable gap: MongoDB does not offer a 401k match, which is surprising for a company of this size and revenue. Overall comp is competitive with similar-scale infrastructure companies.

Who is MongoDB's CEO?+

CJ Desai became CEO in November 2025, succeeding Dev Ittycheria who led MongoDB since 2014 through its IPO and growth from niche open-source project to $2.46B in annual revenue. MongoDB was named a Glassdoor Best-Led Company in 2025 under Ittycheria's final year of leadership. The transition has been smooth, with strategic continuity around Atlas growth and AI integration.

Is MongoDB a good place to work?+

Yes, particularly for engineers who want to work on widely-used infrastructure at scale with strong training and enablement programs. The 79% recommendation rate reflects solid satisfaction. Caveats: WLB varies significantly by team, culture has become more political at larger scale, and there's no 401k match. It's best for engineers who value technical depth, [learning](https://jobsbyculture.com/values/learning), and working on a product used by 65,200+ customers worldwide. See our [MongoDB culture profile](https://jobsbyculture.com/companies/mongodb) for the full picture.

### Explore MongoDB jobs with culture context

See MongoDB's open roles alongside jobs from companies like Databricks, Snowflake, Stripe, and more — all with culture data and employee reviews.

[Browse MongoDB Jobs →](https://jobsbyculture.com/jobs?company=mongodb) [View MongoDB Profile →](https://jobsbyculture.com/companies/mongodb)

---

## Document: n8n in 2026: ~300 Employees, 4.5 Glassdoor, Open-Source Culture

# n8n in 2026: ~300 Employees, 4.5 Glassdoor, Open-Source Culture

> Working at n8n in 2026: ~300 employees, 4.5 Glassdoor rating, $40M ARR, remote-first from Berlin. The open-source workflow automation company with 70k+ GitHub stars and one of the highest ratings in tech.

Source: https://jobsbyculture.com/blog/working-at-n8n-2026
Markdown: https://jobsbyculture.com/blog/working-at-n8n-2026.md
Last updated: 2026-07-14

---
A 4.5 Glassdoor rating is rare. Among the 70+ companies in our [Culture Directory](https://jobsbyculture.com/companies), only a handful score this high — putting [n8n](https://jobsbyculture.com/companies/n8n) in the same tier as [Linear](https://jobsbyculture.com/companies/linear) and above companies like [Anthropic](https://jobsbyculture.com/companies/anthropic) (4.4), [OpenAI](https://jobsbyculture.com/companies/openai) (4.5), and [Stripe](https://jobsbyculture.com/companies/stripe) (4.0). For a Berlin-founded, open-source workflow automation company, that's a remarkable signal. It tells you something real about what it feels like to work there.

n8n was founded in 2019 by Jan Oberhauser (still CEO) with a clear thesis: workflow automation shouldn't require you to hand your data to a third-party cloud service you can't inspect or modify. The result is an open-source platform that lets developers and technical teams build complex automations visually — like Zapier, but self-hostable, code-extensible, and transparent. The product has since accumulated over 70,000 GitHub stars, a massive community, and crossed $40M in annual recurring revenue in mid-2025. In October 2025, n8n raised a $180M Series C led by Accel at a $2.5B valuation; in May 2026, SAP's strategic investment reset the company's valuation to $5.2B. We dug into Glassdoor reviews, employee feedback, and the company's public-facing culture to give you an honest picture of what working at n8n is actually like in 2026.

## n8n at a Glance

Founded

2019

Headquarters

Berlin, Germany (Remote-first globally)

Founder & CEO

Jan Oberhauser

Company Size

900–1,000 employees (per Tracxn / Revelio, mid-2026)

Revenue

$40M ARR (crossed mid-2025; trajectory significantly higher into 2026)

Latest Valuation

$5.2B (May 2026, after SAP investment)

Glassdoor Rating

4.5 / 5.0 (21 reviews)

Work-Life Balance

4.0 / 5.0

Open Roles

~40

GitHub Stars

70,000+

Culture Values

[Remote](https://jobsbyculture.com/values/remote), [Open Source](https://jobsbyculture.com/values/open-source), [Flat](https://jobsbyculture.com/values/flat), [Transparent](https://jobsbyculture.com/values/transparent), [Async](https://jobsbyculture.com/values/async), [Many Hats](https://jobsbyculture.com/values/many-hats)

[Remote-First](https://jobsbyculture.com/values/remote) [Open Source](https://jobsbyculture.com/values/open-source) [Flat Hierarchy](https://jobsbyculture.com/values/flat) [Transparent](https://jobsbyculture.com/values/transparent) [Async-First](https://jobsbyculture.com/values/async) [Many Hats](https://jobsbyculture.com/values/many-hats)

n8n sits in a distinctive position. It's not an AI frontier lab burning through billions in compute. It's a Berlin-born, open-source-first company that has scaled fast (5.5x ARR growth in 2025, plus the $5.2B SAP-backed valuation in May 2026), built a genuine community, and still posts one of the highest employee satisfaction scores we've ever tracked. That combination is unusual, and worth understanding.

## The Open-Source Advantage: 70,000+ Stars and a Community That Ships

n8n's open-source identity isn't a marketing tactic — it's the foundation of the entire business. The platform's source code is publicly available on GitHub, where it has amassed over 70,000 stars. That makes it one of the most popular open-source projects in the automation space, and it creates a flywheel that's genuinely hard to replicate.

The model is what n8n calls "fair-code" — the source code is visible and self-hostable, but commercial use above certain thresholds requires a license. This approach threads the needle between the community trust of pure open source and the revenue sustainability of a commercial product. It works: n8n's community has contributed hundreds of integrations (the platform supports 400+ integrations), filed thousands of issues, and built entire ecosystems of custom nodes. The community doesn't just use n8n — they actively shape the product.

70k+

GitHub Stars

400+

Integrations

$40M

Annual Revenue

For engineers, this creates a working environment that's fundamentally different from closed-source companies. Your code is public. Your contributions are visible. The community is watching, testing, and giving feedback in real time. If you care about building in the open and seeing your work adopted by thousands of developers and teams, n8n offers something that proprietary companies simply cannot. Companies like [Supabase](https://jobsbyculture.com/companies/supabase) and [PostHog](https://jobsbyculture.com/companies/posthog) share this DNA, and it's no coincidence that all three score among the highest in employee satisfaction in our directory.

Employee Pro "Working on an open-source product with a passionate community is incredibly motivating. You see your work being used and improved by real people every day."

## Async-First, Remote-First: How n8n Actually Works

Many companies claim to be "remote-friendly." n8n is remote-first in a way that goes beyond having a distributed team. The company was built from the beginning around async communication, meaning the default mode of collaboration is written, documented, and asynchronous. Meetings are the exception, not the norm. When meetings do happen, they're structured and purposeful, not the sprawling calendar-fillers that plague most organizations.

This matters because genuine [async culture](https://jobsbyculture.com/values/async) is one of the hardest things for companies to get right. Being remote without being async just means you've replaced in-person meetings with Zoom meetings. n8n has internalized the lesson that true remote work requires a fundamentally different communication architecture: write things down, make decisions in documents and threads, give people the autonomy to work on their own schedule, and trust them to deliver without real-time oversight.

For employees, the practical impact is significant. There's no expectation to be "online" during specific hours (beyond reasonable overlap for collaboration). Work is measured by output, not presence. The team spans multiple time zones, and the async-first approach means an engineer in Berlin and a marketing lead in the Americas can collaborate effectively without either one losing their mornings to synchronous calls.

Employee Pro "The async culture is genuine, not performative. I have deep focus time every day because my calendar isn't full of unnecessary meetings."

The remote infrastructure includes the essentials: home office stipends, coworking space budgets, and annual company offsites where the distributed team gathers in person. But the real differentiator isn't the perks — it's the operating system. n8n has built processes, tooling, and cultural norms that make async remote work actually function. If you've been burned by a "remote-friendly" company that turned out to mean "constantly on Slack," n8n represents the other end of the spectrum.

## The Flat Org: What "Minimal Hierarchy" Means at Scale

n8n's [flat hierarchy](https://jobsbyculture.com/values/flat) is one of its most distinctive cultural features — and the most likely to draw skepticism. Every experienced professional has heard a startup claim to be "flat" only to discover that "flat" really means "we haven't built the org chart yet." So what does flat actually mean at n8n now that headcount tracking sits in the 900–1,000 range (and Tracxn pegs it slightly over 1,000 as of late May 2026)?

At n8n, flat means minimal management layers, high individual autonomy, and direct access to decision-makers. Engineers don't go through three layers of approval to ship a feature. Ideas can come from anywhere in the organization, and the quality of the idea matters more than the seniority of the person proposing it. Jan Oberhauser and the leadership team are accessible, and [transparent](https://jobsbyculture.com/values/transparent) communication means context flows freely rather than being hoarded at the top.

This works at n8n's current scale precisely because the company pairs it with strong async documentation and clear ownership. When everyone can read the reasoning behind decisions, when priorities are visible, and when individuals own specific areas of the product, you don't need managers to act as information routers. The [many-hats](https://jobsbyculture.com/values/many-hats) mentality means people naturally take on responsibility beyond their job title, which further reduces the need for top-down coordination. (Oberhauser's stated goal: reach $1B ARR with fewer than 500 employees — a useful tell about how seriously leadership takes lean operating discipline.)

The trade-off is real, though. Flat organizations require people who can self-direct. If you need a manager to set your priorities, give you regular feedback, and chart your career path, a flat structure will feel disorienting. n8n's culture assumes you're a professional who knows how to manage yourself — and in return, it gives you the freedom to do your best work without bureaucratic friction.

Employee Pro "Minimal hierarchy means decisions happen fast. I can talk to anyone in the company about anything. There's real trust here."

## Why 4.5 Glassdoor Is Exceptional

To appreciate what a 4.5 Glassdoor rating means, you need context. Most well-run tech companies land between 3.8 and 4.2. Getting above 4.3 consistently is extremely difficult because it requires near-universal employee satisfaction — a few disgruntled reviews can drag the average down quickly. n8n's 4.5 puts it in genuinely elite territory.

Overall Rating 4.5

Culture & Values 4.5

Work-Life Balance 4.0

Career Opportunities 4.0

Senior Management 4.0

Compensation & Benefits 4.1

The standout is Culture & Values at 4.5 — employees genuinely feel that n8n's stated values (remote, open-source, flat, transparent) reflect how the company actually operates. The WLB score of 4.0 is strong and healthy, especially for a growing startup. It reflects a company that expects commitment but respects boundaries — a rare balance.

One nuance worth flagging: Glassdoor's public profile actually lists Compensation & Benefits at 4.1 (up roughly 7% over the prior 12 months) and Career Opportunities at 4.3, both noticeably stronger than the rough estimates we used in earlier drafts. n8n pays well by European standards, but candidates coming from US-based FAANG or frontier AI labs will still notice the cash-comp gap. More on compensation below.

## Compensation & European Startup Equity

Compensation is the area where n8n's European roots show most clearly. The 4.1 Glassdoor comp score (trending up roughly 7% over the past year) is solid but not exceptional, and it reflects a fundamental reality of the European tech market: base salaries are generally lower than Silicon Valley equivalents. An n8n engineer in Berlin or working remotely from Europe will earn competitive European tech compensation, but it won't match what [Anthropic](https://jobsbyculture.com/companies/anthropic), [OpenAI](https://jobsbyculture.com/companies/openai), or [Stripe](https://jobsbyculture.com/companies/stripe) pay their US-based engineers.

That said, the compensation picture at n8n is more nuanced than raw salary numbers suggest:

-   **Equity participation.** As a venture-backed company with $40M+ ARR, a $5.2B valuation set in May 2026 after SAP's strategic investment, and clear growth trajectory, n8n's equity carries real potential upside. Early and current employees stand to benefit meaningfully if the company continues its trajectory or reaches a liquidity event.
-   **Remote-first with global reach.** For employees in markets where European tech salaries represent strong purchasing power, n8n's compensation is genuinely competitive. A Berlin-calibrated salary goes considerably further in many parts of Europe and the world.
-   **Benefits package.** Home office stipends, coworking budgets, professional development allowances, and the standard benefits you'd expect from a well-funded European tech company.
-   **The non-monetary value.** Working on open-source software with a global community, genuine async flexibility, and a 4.0 WLB score has real quality-of-life value that doesn't show up in comp comparisons.

The honest assessment: if maximizing total cash compensation is your primary criterion, n8n is probably not the right fit. If you value the full package — compensation that's competitive for Europe, meaningful equity, genuine remote flexibility, healthy work-life balance, and the intrinsic motivation of open-source work — the equation looks very different.

## The Honest Pros and Cons

Based on employee reviews and employee feedback, here's what people consistently praise and what they flag as areas for improvement.

### What employees love

+ **Exceptional remote-first culture** — genuine async workflows, high trust, no micromanagement. This isn't "remote-friendly" lip service.

+ **Open-source product with real ownership** — your code is public, used by thousands, and shaped by community feedback. Tangible impact every day.

+ **Flat hierarchy that works** — direct access to leadership, fast decision-making, minimal bureaucracy. Ideas win on merit, not org chart position.

+ **Strong work-life balance (4.0/5)** — the company respects boundaries. Intensity without burnout culture.

+ **Fast-growing product with clear market fit** — $40M+ ARR, $5.2B valuation, 70k+ GitHub stars, 400+ integrations. You're building something people genuinely need.

### What could be better

− **Hypergrowth means shifting priorities** — with headcount running close to 1,000 and SAP joining the cap table, strategy and focus areas change frequently. If you need long-term roadmap stability, this can feel chaotic.

− **Startup intensity is real** — despite the 4.0 WLB score, this is still a growing company where the pace can be stressful. It's not a coasting environment.

− **Some product leadership direction concerns** — as with any scaling startup, aligning product vision across a growing team creates friction that reviews occasionally mention.

− **European comp levels** — competitive for the European market but below Silicon Valley rates. The 4.1 Glassdoor comp score reflects this.

Employee Con "Priorities shift frequently as the company grows. You need to be comfortable with ambiguity and change."

The pattern is telling: the cons are almost entirely about the natural growing pains of a scaling startup, not about cultural dysfunction. Shifting priorities, occasional strategic ambiguity, and comp that lags Silicon Valley are real trade-offs but they're the kind of trade-offs that come with joining a company at an exciting stage of growth, not the kind that signal deeper problems.

## Who Thrives at n8n (and Who Doesn't)

n8n's combination of values — remote, open-source, flat, async, transparent, many-hats — creates a very specific kind of working environment. Based on the culture signals and employee feedback, here's who tends to do well:

-   **Self-directed builders.** n8n's flat, async structure means nobody is going to tell you exactly what to do every morning. If you thrive with autonomy, set your own priorities effectively, and communicate proactively through written channels, you'll love it. If you need daily standups and a manager checking in, you'll feel lost.
-   **Open-source believers.** Working on a product with 70k+ GitHub stars means your code is visible to the world. If that excites you — if you care about developer community, public code review, and building tools that empower other builders — n8n is one of the best places to do it.
-   **People who value balance alongside growth.** The 4.0 WLB score means n8n has figured out how to grow a startup without destroying its employees. If you want to build something meaningful at an energizing pace but also want evenings and weekends, this is the right kind of company.
-   **Strong writers.** Async-first means writing-first. Your ability to communicate clearly in documents, issues, and threads directly determines your effectiveness. If you're a verbal-first communicator who prefers talking through problems on calls, you'll find the async model frustrating.
-   **Generalists who like wearing [many hats](https://jobsbyculture.com/values/many-hats).** Even at n8n's current scale, roles tend to be wide rather than deep. If you enjoy jumping between different types of problems and taking ownership of areas outside your strict job description, you'll thrive. If you want narrow specialization, a larger company is a better fit.

n8n is _not_ ideal for people who prioritize maximum compensation above all else (look at US-based frontier AI labs instead), who need highly structured career ladders with regular promotions, or who prefer synchronous, meeting-heavy collaboration styles. It's also not the right fit if you need the brand cachet of a household-name employer — n8n is well-known in the developer community but not a name your relatives will recognize.

### The Verdict

n8n is one of the best-kept secrets in European tech — though "secret" is getting harder to defend after SAP's strategic investment and the $5.2B May 2026 valuation. A 4.5 Glassdoor rating, genuine remote-first async culture, open-source community of 70k+ stars, flat hierarchy that actually works, and $40M+ ARR with a strong growth trajectory. If you want to build open-source developer tools in a high-trust, low-bureaucracy environment with strong work-life balance, n8n is hard to beat. The main trade-off is comp: European rates, not Silicon Valley rates. If that works for you, this is an exceptional place to work.

## Open Roles at n8n

n8n currently has approximately **29 open positions** across engineering, product, marketing, and operations. The majority of roles are fully remote. Given the company's growth trajectory and the breadth of its product surface, each hire has meaningful impact on a platform used by tens of thousands of teams worldwide.

For full details on n8n's live openings, culture values, and side-by-side comparisons with other companies, visit the [n8n culture profile page](https://jobsbyculture.com/companies/n8n) or browse [all n8n jobs](https://jobsbyculture.com/jobs?company=n8n).

## Frequently Asked Questions About Working at n8n

What is n8n's Glassdoor rating in 2026?+

n8n has a 4.5 out of 5.0 Glassdoor rating — one of the highest among all tech companies we track. Work-life balance is rated 4.0/5 and Culture & Values is 4.5/5. The high rating reflects strong employee satisfaction with the remote-first culture, flat hierarchy, and open-source mission. See our full [n8n culture profile](https://jobsbyculture.com/companies/n8n) for the complete breakdown.

What is the culture like at n8n?+

n8n's culture is defined by six values: [remote-first](https://jobsbyculture.com/values/remote), [open-source](https://jobsbyculture.com/values/open-source), [flat hierarchy](https://jobsbyculture.com/values/flat), [transparent](https://jobsbyculture.com/values/transparent) communication, [async-first](https://jobsbyculture.com/values/async) workflows, and a [many-hats](https://jobsbyculture.com/values/many-hats) mentality. The company was founded in Berlin in 2019 and operates as a fully distributed team across multiple time zones with high autonomy and trust.

Does n8n pay well?+

n8n offers competitive compensation for a European-headquartered startup, including equity participation. As a Berlin-based company with $40M+ ARR and a $5.2B valuation (May 2026), base salaries are calibrated to European tech market rates rather than Silicon Valley levels. The Glassdoor comp score is 4.1/5 and has been trending up (~7% over the prior year). Equity upside is meaningful given the company's growth trajectory. See our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) for broader context.

Is n8n remote-friendly?+

Yes, n8n is remote-first. The company was founded in Berlin in 2019 and has operated as a distributed team from the beginning. The majority of roles are fully remote, and the company uses async-first communication to support collaboration across time zones. See our [remote-friendly companies guide](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026) for more options.

Is n8n open source?+

Yes, n8n is an open-source workflow automation platform with 70,000+ GitHub stars. It uses a "fair-code" distribution model — the source code is publicly available and self-hostable, but commercial use above certain thresholds requires a license. This model has fueled a massive community of contributors and users. See our [open-source companies guide](https://jobsbyculture.com/blog/open-source-ai-companies-hiring-2026) for similar companies.

How many employees does n8n have in 2026?+

External trackers vary, but n8n's headcount sits in the 900–1,000 employee range in mid-2026 (Revelio Labs: 923 as of December 2025; Tracxn: 1,003 as of May 2026). The company has scaled rapidly from its founding in 2019 by Jan Oberhauser in Berlin, growing from a small open-source project into a $40M+ ARR business with a $5.2B valuation. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

### Explore all n8n jobs

Remote-first. Open source. Flat hierarchy. 29 open roles with culture context.

[See n8n Jobs →](https://jobsbyculture.com/jobs?company=n8n) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Notion in 2026: Culture, Compensation & What Employees Say

# Working at Notion in 2026: Culture, Compensation & What Employees Say

> Working at Notion in 2026: ~800-1,000 employees, $11B valuation (Jan 2026 secondary tender), 4.3 Glassdoor rating, $201K-$735K engineer comp, hybrid culture, and what employees really think about working at the all-in-one workspace company.

Source: https://jobsbyculture.com/blog/working-at-notion-2026
Markdown: https://jobsbyculture.com/blog/working-at-notion-2026.md
Last updated: 2026-07-14

---
[Notion](https://jobsbyculture.com/companies/notion) is the rare productivity tool that people actually love. Founded in 2013 by Ivan Zhao (CEO) and Simon Last (CTO), Notion started as a quiet attempt to build a flexible, all-in-one workspace — part document editor, part database, part project tracker, part wiki. Over a decade later, it's become the connective tissue for how millions of teams organize their work. With an $11 billion valuation set in a January 2026 secondary tender offer, a team that's grown from ~800 in 2024 to roughly 1,000 today, and a product used by everyone from solo freelancers to Fortune 500 companies, Notion has earned its place as one of the most influential software companies of the past decade.

But Notion the company is just as interesting as Notion the product. It's a place where design and engineering exist on equal footing, where the CEO still reviews product details, and where the culture is built around a genuine obsession with craft. It's also a company that has made deliberate trade-offs — including a hybrid return-to-office policy that runs counter to the remote-first trend in tech. If you're evaluating Notion as a potential employer, this article breaks down the culture, compensation, leadership, and what kind of person thrives there.

## Notion at a Glance

Founded

2013

Headquarters

San Francisco, CA (hybrid — 3 days in-office)

Founders

Ivan Zhao (CEO), Simon Last (CTO)

Company Size

~800 (2024) → ~1,000 (2026)

Valuation

$11B (Jan 2026 secondary tender)

Glassdoor Rating

4.3 / 5.0 (~317 reviews)

Recommend to Friend

89%

Open Roles

148 (as of Apr 2026)

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Learning](https://jobsbyculture.com/values/learning), [Transparent](https://jobsbyculture.com/values/transparent), [Diverse](https://jobsbyculture.com/values/diverse), [Equity](https://jobsbyculture.com/values/equity), Product Impact

Among the companies in our [Culture Directory](https://jobsbyculture.com/companies), Notion stands out for its unusually high marks across the board — a 4.3 overall Glassdoor rating, employee sentiment that consistently highlights the quality of the product and the people, and strong reviews of the leadership team. The ~140 open roles signal a company that's actively growing, not coasting.

## The Product-Obsessed Culture

If there's one word that defines working at Notion, it's _craft_. This is a company that was nearly dead in 2015 — Zhao and Last moved to Kyoto, Japan, rebuilt the product from scratch, and emerged with a tool so thoughtfully designed that it grew almost entirely through word of mouth. That founding story isn't just mythology; it's the DNA of how Notion still operates.

Product quality is treated as a first principle, not a nice-to-have. Engineers don't just ship features — they're expected to deeply understand the user experience, to care about how something feels, not just whether it works. This goes beyond the typical "customer-first" platitude. At Notion, an engineer might spend a full day refining a drag-and-drop interaction because the 200ms delay between "good" and "great" actually matters to the team.

Culture Signal "The product is genuinely beautiful, and the people who build it care about that. You're not just shipping tickets — you're crafting something that millions of people use every day."

This product obsession extends to how teams are structured. Notion operates with small, cross-functional pods where engineers, designers, and product managers work closely together. The walls between disciplines are unusually thin. Engineers attend design reviews. Designers understand technical constraints. The result is a product that feels cohesive in a way that most productivity tools don't — and a work environment where people with broad curiosity tend to flourish.

The flip side is that this culture can be demanding. When everyone cares deeply about quality, standards are high. Feedback is direct. Mediocre work gets called out, not gently. For engineers who thrive on that kind of rigor, it's energizing. For those who prefer clear specs and predictable timelines, the ambiguity can be uncomfortable.

## Glassdoor Ratings Breakdown

Notion's Glassdoor profile tells a story of a company that has maintained strong employee satisfaction even as it's scaled from a tiny startup into an ~800–1,000-person organization. Here's how the numbers break down (based on ~317 Glassdoor reviews).

Culture & Values 4.5

Overall Rating 4.3

Work-Life Balance 4.2

Career Opportunities 4.1

Recommend to a Friend 89%

A few things stand out. Culture & Values at 4.5 is the highest sub-score, reflecting consistent employee satisfaction with the way Notion actually operates day-to-day. The 4.3 overall sits right alongside it. Career Opportunities at 4.1 is the relative weak spot — a common pattern at companies of this size where growth paths exist but aren't unlimited. Work-Life Balance at 4.2 is above average but still signals that this is a demanding environment. We are not publishing a CEO approval number for Ivan Zhao here because we could not verify a current Glassdoor figure to the standard JBC requires after the Notion-related accuracy incident earlier this year.

## Ivan Zhao's Leadership Style

Understanding Notion's culture requires understanding its founder. Ivan Zhao is not a typical Silicon Valley CEO. He studied cognitive science, not computer science. He's deeply influenced by design thinkers like Bret Victor and tools-for-thought pioneers like Doug Engelbart. His vision for Notion isn't just "build a good productivity tool" — it's to create software that amplifies human thinking and creativity.

This shows up in how the company operates. Zhao is known for being deeply involved in product decisions, reviewing designs and prototypes at a level of detail that most CEOs at $11B companies have long abandoned. He's not a micromanager — teams have real autonomy — but he sets an extraordinarily high bar for what "done" means. Multiple employee reviews highlight that Zhao's presence elevates the quality of work across the company.

Employee Pro "Ivan genuinely cares about the product and the craft. It's not performative. He'll spend an hour debating the right way to handle a particular interaction, and the product is better for it."

The strength of Notion's culture & values score on Glassdoor (4.5/5) reflects a leader who has earned trust through consistency — the same values that defined Notion in its Kyoto rebuilding years are still the values that drive it at ~1,000 employees. That kind of continuity is rare in tech, where founder-CEOs often lose the thread as companies scale.

## Compensation & Equity

Notion pays competitively, particularly at the senior and staff levels where total compensation can rival public tech companies. Here's what the numbers look like based on verified salary reports.

$330K

Median Engineer TC

$735K

Top Engineer TC

148

Open Roles

The engineer compensation range of $201K–$735K is broad, reflecting everything from early-career hires to staff-level engineers. The $330K median is strong — competitive with public companies like Google and Meta, and well above most Series D+ startups. At the top end, $735K puts Notion in the same conversation as frontier AI labs, though those numbers are typically reserved for staff+ engineers with significant equity grants.

### Equity considerations

Notion's $11B valuation (Jan 2026 secondary tender) is a double-edged sword for equity. On one hand, the company is clearly valuable and has a path to IPO or continued growth. On the other, at $11B, the explosive 10x-50x returns that early employees saw are unlikely. The equity is more like a meaningful supplement to an already-strong base salary rather than a lottery ticket. That said, Notion's revenue growth and market position suggest the equity is far from worthless — it's real value, just not startup-lottery value.

### How Notion compares on compensation

Company

Engineer TC Range

Stage

Remote?

Notion

$201K–$735K

Late-stage ($11B)

Hybrid (3 days)

[Figma](https://jobsbyculture.com/companies/figma)

$220K–$650K

Late-stage ($12.5B)

Hybrid

[Anthropic](https://jobsbyculture.com/companies/anthropic)

$300K–$900K+

Late-stage ($61.5B)

Hybrid

[Stripe](https://jobsbyculture.com/companies/stripe)

$280K–$400K+

Late-stage ($91B)

Hybrid

Notion's compensation is competitive with the top tier of non-AI tech companies. It won't match the frontier AI labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai) on raw numbers, but the overall package — strong base, meaningful equity in a proven product, and high career growth scores — makes it a compelling option for engineers who care about more than maximizing total comp.

## The Hybrid Reality

This is where Notion diverges from many of the companies in our directory. Notion requires 3 days per week in the San Francisco office. This is not a soft suggestion or a "come in when you feel like it" policy — it's an expectation.

The rationale is tied to Notion's product-obsessed culture. The company believes that the kind of close cross-functional collaboration it prizes — engineers and designers iterating together, spontaneous whiteboard sessions, the ability to pull someone into a room to hash out a tricky interaction — works better with some in-person time. Whether you agree with this philosophy is a personal call, but Notion has been transparent about it rather than pretending to be something it's not.

Employee Con "The 3-day in-office requirement limits the talent pool. I know great engineers who won't consider Notion because of it."

Employee Pro "The in-person collaboration actually works. You feel the energy when the team is together. It's not just a mandate — there's a real reason for it."

The practical implication: if you don't live in or near San Francisco, or aren't willing to relocate, Notion is likely not an option. The 2 remote days per week offer some flexibility, but this is fundamentally a San Francisco job. For candidates who value [remote work](https://jobsbyculture.com/values/remote), companies like [Linear](https://jobsbyculture.com/companies/linear), [Vercel](https://jobsbyculture.com/companies/vercel), or [Supabase](https://jobsbyculture.com/companies/supabase) are better fits.

## Engineering at Notion

Notion's engineering culture is shaped by the product it builds. Because Notion is essentially a platform for creating custom tools — databases, wikis, project trackers, documents — the engineering challenges are unusually complex. The product must be infinitely flexible while remaining fast and intuitive. That tension between power and simplicity defines the engineering work.

### What engineers work on

-   **Block-based architecture.** Everything in Notion is a block. Engineers work on a deeply recursive, composable system where any piece of content can contain any other piece of content. Getting this right at scale, with real-time collaboration and offline support, is a genuinely hard distributed systems problem.
-   **AI integration.** Notion AI has evolved from a simple writing assistant into a deeply integrated feature that can query databases, summarize documents, and automate workflows. Engineers working on AI are building at the intersection of LLMs and structured data — a frontier problem.
-   **Performance at scale.** Notion serves millions of users with workspaces that can contain thousands of pages and databases. Making that fast — sub-second page loads, smooth real-time collaboration, reliable sync — requires serious engineering chops.
-   **Cross-platform consistency.** Notion runs on web, desktop (Electron), iOS, and Android. Maintaining feature parity and a consistent user experience across all platforms is a constant engineering challenge.

Employee Pro "The engineering problems are genuinely interesting. You're not just building CRUD apps — the block model, real-time sync, and AI integration create problems that are actually hard to solve."

The [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture means engineers have real influence over what gets built. Product decisions aren't handed down from executives — they emerge from collaboration between engineering, design, and product. If you've worked at companies where engineers are treated as ticket executors, Notion will feel like a different world.

## Growth & Career Paths

The 4.1 Career Opportunities score on Glassdoor is solid, though it's the area with the most room to grow. At roughly 1,000 employees and still scaling, Notion is at an interesting inflection point — large enough that career paths are forming, but still small enough that advancement isn't bureaucratic. Multiple reviews highlight that career growth depends heavily on your team and manager.

Notion offers both IC (individual contributor) and management tracks for engineers. The [learning culture](https://jobsbyculture.com/values/learning) is reinforced by internal tech talks, cross-team rotations, and the sheer breadth of the product — an engineer can move from the editor team to the AI team to the platform team and encounter genuinely different technical challenges each time.

Employee Pro "The growth opportunities are real. I've gone from a mid-level engineer to a tech lead in two years, with actual mentorship along the way."

The [transparency](https://jobsbyculture.com/values/transparent) around career progression is another positive signal. Multiple reviews mention clear expectations for each level, regular feedback cycles, and leadership that actively invests in developing talent. For engineers earlier in their career, this kind of structured growth path is valuable and increasingly rare at high-growth startups.

## What Employees Actually Say

### What employees love

Employee Pro "The quality of people is extraordinary. Every conversation teaches you something. There's no dead weight."

Employee Pro "Working on a product that you actually use and love makes everything better. The feedback loop between building and using is incredibly tight."

Employee Pro "Compensation is genuinely competitive. I've gotten offers from FAANG and Notion matched or beat them."

Employee Pro "Diverse, inclusive team. The culture isn't performative — the leadership team actually reflects it."

### What could be better

Employee Con "The bar is very high, and that means feedback can feel intense. It's not a coasting environment."

Employee Con "Work-life balance is 'good, not great.' The culture of caring deeply means some people struggle to disconnect."

Employee Con "The hybrid requirement feels outdated when so many peer companies have gone remote-first."

Employee Con "Rapid growth means some processes are still being figured out. Things that worked at 200 people don't always scale to 800."

The pattern in the reviews is clear: the people and the product are Notion's greatest strengths. The cons are real but manageable — the high bar can be intense, the hybrid policy limits your geography, and the company is still figuring out how to maintain its startup-like culture at scale. Nobody is complaining about toxic leadership, broken values, or meaningless work. The trade-offs are the kind you make when a company genuinely cares about what it builds.

## Who Thrives at Notion

Notion isn't for everyone, and it doesn't pretend to be. Based on the culture signals, here's who tends to do well — and who struggles.

-   **Product-minded engineers.** If you care about the user experience, not just the code, Notion will feel like home. Engineers here are expected to think holistically about how their work affects the end user. If you view product sense as someone else's job, the culture will feel unfamiliar.
-   **Design-sensitive builders.** If you notice the difference between a good animation and a great one, if you care about typography and spacing, if you think of engineering as a design discipline — you'll be among your people at Notion.
-   **People who thrive on high standards.** The quality bar is genuinely high, and feedback is direct. If you're energized by working alongside people who push you to do your best work, this is the right environment. If you prefer gentle feedback and predictable expectations, it may feel demanding.
-   **Collaborative cross-functional thinkers.** The tight integration between engineering, design, and product means you'll spend meaningful time with non-engineers. If you light up in those conversations, you'll flourish. If you just want to be left alone to code, the collaboration density may feel like overhead.
-   **Bay Area residents (or willing relocators).** The 3-day in-office requirement is non-negotiable. If San Francisco is your home or your destination, great. If not, this is a dealbreaker.

Notion is _not_ ideal for engineers who want full remote flexibility, those who prefer deep specialization in a narrow technical domain, or those who want the structured career ladders of a public tech company. It's also not the right fit if you're primarily optimizing for maximum total compensation — while Notion pays well, the frontier AI labs will out-pay it at the top end.

## Notion vs. Similar Companies

To put Notion in context, here's how it compares to other product-focused companies that engineers often evaluate alongside it:

Dimension

Notion

[Figma](https://jobsbyculture.com/companies/figma)

[Linear](https://jobsbyculture.com/companies/linear)

Size

~800–1,000

~1,500

~203

Glassdoor

4.3

4.3

~4.3 (est.)

Remote

Hybrid (3 days)

Hybrid

Remote-first

Median TC

$330K

$310K

$205K

Valuation

$11B

$12.5B

$1.25B

Career Score

4.1

4.3

~3.5 (est.)

Culture

Product-obsessed

Design-driven

Deep-work

Notion sits between Figma (similar design sensibility but larger) and Linear (similar product quality obsession but much smaller and remote-first). The strongest argument for Notion over these peers is the combination of high compensation, strong career growth, and a product that's genuinely beloved. Use our [comparison tool](https://jobsbyculture.com/compare) for a full side-by-side with any company in our directory.

## Frequently Asked Questions About Working at Notion

How many employees does Notion have in 2026?+

Notion's headcount has grown from approximately 800 in 2024 toward 1,000 in mid-2026, depending on data source (getlatka, Tracxn). The company is headquartered in San Francisco and was valued at approximately $11 billion in a January 2026 secondary tender offer. Despite being over a decade old, Notion has maintained a relatively lean team for the scale of its product, which is used by millions of teams worldwide. For comparison across tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Notion's Glassdoor rating in 2026?+

Notion has a 4.3 out of 5.0 overall Glassdoor rating based on approximately 317 reviews, with specific scores including Culture & Values at 4.5, Career Opportunities at 4.1, and Work-Life Balance at 4.2. Approximately 89% of employees recommend Notion as a workplace. See our [full Notion culture profile](https://jobsbyculture.com/companies/notion) for more details.

What is Notion's engineering culture like?+

Notion's engineering culture is product-obsessed and design-driven. Engineers are expected to deeply understand the user experience, not just the technical implementation. Teams are small and cross-functional, with engineers working closely alongside designers and product managers. The company values craftsmanship and holistic thinking — engineers who care about the full user experience, not just the code, tend to thrive. The engineering challenges are genuinely complex, including real-time collaboration, the recursive block model, and AI integration.

What is Notion's compensation for engineers?+

Engineer total compensation at Notion ranges from $201K to $735K, with a median of approximately $330K according to verified salary reports. This includes base salary, equity, and bonuses. Notion's compensation is competitive with top-tier tech companies, particularly at senior and staff levels. The equity is at an $11B valuation set in January 2026, offering meaningful value with a clear path to liquidity. See our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

Is Notion remote-friendly?+

No, Notion is not remote-friendly. The company operates on a hybrid model requiring 3 days per week in the San Francisco office. This is a deliberate cultural choice — Notion believes its product-obsessed, design-driven culture benefits from face-to-face collaboration. If remote work is a priority, consider companies like [Linear](https://jobsbyculture.com/companies/linear), [Vercel](https://jobsbyculture.com/companies/vercel), or [Supabase](https://jobsbyculture.com/companies/supabase) from our [remote-friendly companies list](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026).

Who is Notion's CEO?+

Notion was co-founded and is led by Ivan Zhao, who serves as CEO. He co-founded the company in 2013 with Simon Last (CTO). Zhao studied cognitive science and is known for his design-first philosophy and deep product involvement. Employee reviews consistently cite his accessibility and product instincts as cultural strengths.

How many open roles does Notion have?+

As of April 2026, Notion has approximately 140 open roles listed on their Ashby-powered careers page. These span engineering, product, design, sales, marketing, and operations. You can [browse Notion's open positions with culture context](https://jobsbyculture.com/jobs?company=notion) on JobsByCulture.

### Interested in working at Notion?

See Notion's 140 open roles with culture context, or browse all jobs from companies in our directory.

[View Notion Jobs →](https://jobsbyculture.com/jobs?company=notion) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at OpenAI 2026: Employee Count, Salary, Culture & Hiring Status

# Working at OpenAI 2026: Employee Count, Salary, Culture & Hiring Status

> How many employees does OpenAI have in 2026? Working at OpenAI: real headcount, $350k-$550k engineer compensation, hiring status across teams, culture insights from current and former employees.

Source: https://jobsbyculture.com/blog/working-at-openai-2026
Markdown: https://jobsbyculture.com/blog/working-at-openai-2026.md
Last updated: 2026-07-14

---
OpenAI is the most recognizable name in artificial intelligence. The company behind ChatGPT, GPT-4, DALL-E, and Sora has gone from a small nonprofit research lab founded in 2015 to an $852 billion juggernaut after its March 31, 2026 funding round (which raised roughly $122 billion led by Amazon, Nvidia, and SoftBank) with roughly 7,800 employees. ChatGPT alone has over 200 million weekly active users, making it one of the fastest-adopted technologies in human history. CEO Sam Altman has become a household name, and OpenAI's products are reshaping everything from software development to education to creative work.

But what is it actually like to work there? Behind the headlines about billion-dollar funding rounds and AGI timelines — including the [recent $122B funding mega-round](https://jobsbyculture.com/blog/openai-122b-funding-ai-jobs-2026) — there's a real company with real culture, real trade-offs, and real employee experiences. We pulled Glassdoor data, employee reviews, compensation benchmarks, and culture signals to give you the most complete picture of working at [OpenAI](https://jobsbyculture.com/companies/openai) in 2026. Whether you're weighing an offer, prepping for an interview, or just curious about life inside the world's most famous AI company, this is what you need to know.

## OpenAI at a Glance

Before we dive into the details, here are the numbers that matter.

Metric

Detail

Founded

2015 (as nonprofit), restructured 2019

Headquarters

San Francisco, CA

Company Size

~7,800 employees

Glassdoor Rating

4.5 / 5.0

Work-Life Balance

3.6 / 5.0

Valuation

$852B (Mar 2026 funding round)

CEO Approval

~85% (Sam Altman)

Recommend to Friend

82%

A 4.5 Glassdoor rating puts OpenAI at the top of AI companies in our [Culture Directory](https://jobsbyculture.com/companies). For context, [Anthropic](https://jobsbyculture.com/companies/anthropic) sits at 4.4, [DeepMind](https://jobsbyculture.com/companies/deepmind) at 4.2, and [Cohere](https://jobsbyculture.com/companies/cohere) at 2.9. The 82% "recommend to a friend" rate is strong, though notably lower than Anthropic's 95% — a gap that tells you something about the intensity and trade-offs employees experience at OpenAI.

4.5 / 5.0

Glassdoor Overall Rating

## What Makes OpenAI's Culture Different

OpenAI's culture is defined by a singular, audacious mission: build artificial general intelligence that benefits all of humanity. This isn't a typical startup mission statement — it's the animating principle that drives every major decision, from research priorities to hiring to how the company communicates with the public. Whether you find that inspiring or intimidating depends on who you are, but there's no denying the mission is real and deeply felt across the organization.

According to employee reviews and our analysis of [OpenAI's culture profile](https://jobsbyculture.com/companies/openai), six core values define the day-to-day experience:

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship-Fast](https://jobsbyculture.com/values/ship-fast) [Learning](https://jobsbyculture.com/values/learning) [Ethical AI](https://jobsbyculture.com/values/ethical-ai) [Product Impact](https://jobsbyculture.com/values/product-impact) [Equity](https://jobsbyculture.com/values/equity)

The [ship-fast](https://jobsbyculture.com/values/ship-fast) mentality is OpenAI's most defining cultural trait. This is a company that launched ChatGPT, went from zero to 100 million users in two months, and has maintained a relentless pace of product launches ever since. Teams move at startup speed despite the company's growing size. The expectation is clear: build, ship, iterate, repeat. If you've worked at a large tech company where shipping a feature takes six months of reviews and approvals, OpenAI will feel like a different universe.

The [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture means that technical decisions are made by engineers and researchers, not product managers or executives. The technical bar is extraordinarily high — OpenAI attracts some of the best ML researchers and engineers in the world, and the interview process reflects that. Working alongside world-class colleagues is one of the most frequently cited pros in employee reviews.

The [product impact](https://jobsbyculture.com/values/product-impact) at OpenAI is unlike almost any other company in tech. ChatGPT reaches over 200 million weekly users. The APIs power thousands of applications. DALL-E and Sora are reshaping creative industries. When you ship something at OpenAI, you see it in the real world almost immediately, and at massive scale. For engineers and researchers who care about impact, this is an extraordinary draw — and it's a big reason people accept the intensity trade-off.

The [ethical AI](https://jobsbyculture.com/values/ethical-ai) commitment exists in tension with the ship-fast culture. OpenAI has a safety team, publishes alignment research, and has made public commitments to responsible AI development. But the company's rapid pace and commercial ambitions mean that safety and speed are in constant negotiation. The 2023 board crisis — and the broader nonprofit-to-capped-profit transition — created real cultural friction that some employees still reference in reviews.

## Glassdoor Ratings Breakdown

The 4.5 overall score masks some meaningful variance across sub-categories. Compensation is OpenAI's strongest area by a wide margin, while work-life balance is the weakest — a familiar pattern at high-growth AI companies, but more pronounced here than at most competitors.

Compensation & Benefits

4.6

Culture & Values

4.4

Overall Rating

4.5

Senior Management

3.8

Career Opportunities

4.2

Work-Life Balance

3.6

The 4.6 compensation score reflects OpenAI's elite pay packages — more on that below. The 3.6 work-life balance score, while not the lowest in our database (that distinction goes to [Scale AI](https://jobsbyculture.com/companies/scale) at 2.7), places OpenAI firmly in the "amber" zone and below [Anthropic's](https://jobsbyculture.com/companies/anthropic) 3.7. For comparison, [Linear](https://jobsbyculture.com/companies/linear) scores 4.4 on WLB while [Notion](https://jobsbyculture.com/companies/notion) scores 4.2 — a full point higher than OpenAI.

The 3.8 senior management score is notably lower than [Anthropic's](https://jobsbyculture.com/companies/anthropic) 4.2. While Sam Altman maintains a strong ~85% CEO approval rating, employee reviews suggest that the rapid scaling toward ~7,800 employees has created challenges in middle management. The 2023 board crisis and subsequent organizational changes left some cultural scars that are still referenced in reviews. Career opportunities at 4.2 is solid, though some employees note that career ladders can be unclear in a company growing this fast.

## What Employees Actually Say

Numbers tell part of the story. Employee voices tell the rest. Here are the recurring themes from Glassdoor reviews, pulled from our [OpenAI culture profile](https://jobsbyculture.com/companies/openai).

### What employees love

Pro "Cutting-edge frontier AI research with world-class colleagues"

Pro "Elite compensation — top-tier TC and equity packages"

Pro "Incredible impact — ChatGPT reaches hundreds of millions of users"

Pro "Working on literally the most important technology of our time"

The theme that appears most consistently is impact. Employees at OpenAI aren't working on incremental improvements to ad-serving algorithms — they're building technology that is actively reshaping how hundreds of millions of people work, learn, and create. That sense of historical significance is a powerful motivator, and it's the primary reason many employees tolerate the intensity. The quality of colleagues is the second most-cited pro — when your coworkers include some of the most talented ML researchers on the planet, the learning opportunities are immense.

### What could be better

Con "High-intensity environment — long hours and intense pace are the norm"

Con "Internal politics and rapid org changes as the company scales"

Con "The nonprofit-to-capped-profit transition created cultural tension"

Con "WLB score of 3.6 — expect nights and weekends during launches"

The work-life balance concern is the most significant red flag in OpenAI's profile. A 3.6 WLB score paired with consistent comments about "long hours" and "nights and weekends during launches" paints a clear picture: this is a high-intensity environment that demands a lot from its people. For context, [Anthropic](https://jobsbyculture.com/companies/anthropic) scores slightly better at 3.7 WLB, while [Perplexity](https://jobsbyculture.com/companies/perplexity) is worse at 3.3. If you're comparing OpenAI to companies like [Notion](https://jobsbyculture.com/companies/notion) (WLB: 4.2) or [HubSpot](https://jobsbyculture.com/companies/hubspot) (WLB: 4.1) on the work-life balance axis, those companies will win decisively. But if you're already committed to the AI frontier and the question is "which AI lab?", OpenAI's WLB is in the middle of the pack.

The organizational tension is worth understanding. OpenAI's journey from nonprofit to capped-profit to (most recently) a for-profit structure has created real cultural complexity. Some employees who joined for the nonprofit mission feel that the company's priorities have shifted. Others argue that the commercial success of ChatGPT has actually accelerated the mission by funding the research. This tension is a live wire in the culture — you'll see it in reviews, in team discussions, and in how the company thinks about product decisions.

## Compensation & Benefits

Compensation is one of OpenAI's strongest cards. A 4.6/5.0 Glassdoor rating for comp and benefits puts it in the top tier alongside [Anthropic](https://jobsbyculture.com/companies/anthropic) (4.8). Here's what the numbers look like.

$350k–$550k

Total Compensation Range for Engineers

For software engineers and research engineers, total compensation (base + equity + bonus) typically falls in the **$350k–$550k range**, with senior and staff-level roles pushing well above that. This puts OpenAI at the very top of the market — ahead of [Anthropic's](https://jobsbyculture.com/companies/anthropic) $300k–$490k range and competitive with the highest-paying big tech offers. A few things to note about the comp structure:

-   **Equity is the big differentiator.** At an $852B post-money valuation (March 2026 round, led by Amazon, Nvidia, and SoftBank), OpenAI equity carries enormous potential value. The company has facilitated secondary sales and tender offers, giving employees some liquidity even before an IPO or other liquidity event.
-   **Base salaries are above-market.** OpenAI doesn't rely on equity alone — base salaries are competitive with top-of-market big tech compensation, which is unusual for a company at this stage.
-   **Research scientists command even more.** Researchers with strong publication records, PhDs from top programs, and experience at places like [DeepMind](https://jobsbyculture.com/companies/deepmind) or Google Brain can command packages well above the standard engineering range. For a detailed look at how OpenAI and DeepMind differ on culture and research philosophy, see our [OpenAI vs DeepMind culture comparison](https://jobsbyculture.com/blog/openai-vs-deepmind-culture-comparison). The war for top ML talent is fierce.
-   **Benefits include** comprehensive health insurance, generous PTO, 401(k) matching, commuter benefits, meals, and the standard Silicon Valley perks. The package is designed to be competitive on every axis.

For a detailed side-by-side on how OpenAI's comp stacks up against its biggest rival, see our [Anthropic vs OpenAI culture comparison](https://jobsbyculture.com/blog/anthropic-vs-openai-culture-comparison) or use the [interactive comparison tool](https://jobsbyculture.com/compare/anthropic-vs-openai).

## Engineering Culture & Tech Stack

OpenAI's technical environment is built for one thing: training and deploying the world's most capable AI models at massive scale. The engineering culture reflects the company's research-lab origins fused with an increasingly product-oriented mindset. Teams are expected to move fast, own their work end-to-end, and operate at a scale that very few organizations in the world can match.

### Tech Stack

Python PyTorch Kubernetes Rust Triton

The stack reflects OpenAI's dual identity as a research lab and a platform company. **Python** and **PyTorch** are the backbone of model training and research. **Triton**, OpenAI's open-source GPU programming language, is used for writing custom GPU kernels that squeeze maximum performance out of massive compute clusters. **Rust** handles performance-critical infrastructure, while **Kubernetes** orchestrates the enormous distributed systems that power both training runs and the API platform serving millions of requests per second.

The scale of OpenAI's infrastructure is genuinely extraordinary. Training frontier models requires tens of thousands of GPUs running in concert across custom-built supercomputer clusters. The engineering challenges here — distributed systems, fault tolerance, GPU optimization, data pipeline engineering — are unlike what you'd encounter at almost any other company. If you're an infrastructure or systems engineer who wants to work on problems at the absolute frontier of scale, this is one of the best places in the world for that.

### How Teams Work

OpenAI's organizational structure has evolved significantly as the company has scaled. Research teams still operate with significant autonomy, but the growing product organization (ChatGPT, API, enterprise) has brought more traditional product engineering workflows. The result is a hybrid: some teams feel like a research lab, others feel like a high-growth startup, and the tension between these modes is a feature of the culture, not a bug.

For engineers who value [engineering-driven culture](https://jobsbyculture.com/values/eng-driven) with massive real-world [product impact](https://jobsbyculture.com/values/product-impact), OpenAI offers a rare combination. You can work on cutting-edge research and see it deployed to hundreds of millions of users within months — sometimes weeks. That feedback loop between research and product is OpenAI's engineering superpower.

## Who Thrives at OpenAI

Based on employee reviews, culture signals, and the company's own hiring philosophy, here's the profile of someone who tends to thrive at OpenAI — and who might struggle.

### You'll love it if you...

-   **Care about the AGI mission.** Whether you frame it as "building beneficial AGI" or "building the most important technology in human history," the mission has to resonate. It's the fuel that keeps people going through intense periods.
-   **Want massive, global-scale impact.** If you want to ship something and have 200 million people use it next week, very few companies on earth offer that. OpenAI does.
-   **Thrive in fast-paced, ambiguous environments.** Priorities shift, org structures change, and the pace is relentless. If you find that energizing rather than exhausting, you'll do well.
-   **Want elite compensation.** The $350k–$550k TC range for engineers, plus meaningful equity at an $852B valuation, is among the best in the industry.
-   **Want to work with world-class researchers.** The caliber of talent at OpenAI is exceptionally high. If learning from the best matters to you, this is hard to beat.

### You might struggle if you...

-   **Prioritize strict work-life balance.** The 3.6 WLB score reflects reality. Long hours, especially around launches and research deadlines, are common. If firm boundaries are non-negotiable, consider companies like [Linear](https://jobsbyculture.com/companies/linear) (WLB: 4.4) or [Notion](https://jobsbyculture.com/companies/notion) (WLB: 4.2) instead.
-   **Want organizational stability.** OpenAI has undergone significant org changes, leadership shifts, and structural transformations. If you need predictability, this isn't the place.
-   **Need clear career ladders.** At a company growing this fast, promotion criteria and career paths can feel undefined, especially outside core research and engineering.
-   **Prefer consensus-driven decision making.** OpenAI moves fast and makes decisions quickly. Not everyone gets input on every decision, and direction can change rapidly. If you need buy-in before action, the pace may feel disorienting.

The consensus among employees, as captured in our [OpenAI profile](https://jobsbyculture.com/companies/openai): "Choose OpenAI if you want to work on the most impactful AI products in the world with elite colleagues and elite comp — but expect the intensity to match the ambition."

## Open Positions at OpenAI

OpenAI currently has **720 open positions** across research, engineering, product, design, sales, and operations. The majority of roles are based in San Francisco, with some positions in other locations and select remote opportunities. See how OpenAI's work-life balance compares to other companies in our [SF WLB rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-san-francisco-2026).

Popular role categories include:

-   **Research Scientists** — Frontier capabilities, alignment, reinforcement learning, and multimodal research
-   **Research Engineers** — Building and scaling the training infrastructure behind GPT and other models
-   **Software Engineers** — ChatGPT product, API platform, developer tools, security, and reliability
-   **Applied AI Engineers** — Fine-tuning, evaluation, and deploying models for enterprise use cases
-   **Product & Design** — Shaping how ChatGPT and the API are experienced by hundreds of millions of users
-   **Go-to-Market & Operations** — Sales, partnerships, and scaling the business side of OpenAI

For the full list of live openings with location and role filters, visit the [OpenAI jobs page](https://jobsbyculture.com/jobs?company=openai) or explore all roles on the [OpenAI culture profile](https://jobsbyculture.com/companies/openai). You can also browse openings directly on [OpenAI's careers page](https://openai.com/careers?ref=jobsbyculture.com).

## Frequently Asked Questions About Working at OpenAI

What is OpenAI's Glassdoor rating?+

OpenAI has a 4.5 out of 5.0 Glassdoor rating, with 82% of employees recommending it as a place to work. The rating reflects strong compensation and a mission-driven culture, though work-life balance scores are more mixed due to the intensity of building frontier AI systems. See our full [OpenAI culture profile](https://jobsbyculture.com/companies/openai) for the breakdown.

How many employees does OpenAI have?+

OpenAI grew its workforce by roughly 55% in 2025 to about 7,800 employees by year-end and is on track to approach 8,000+ in 2026. The company is hiring aggressively across research, engineering, product, and go-to-market functions. See how OpenAI compares in our [AI company employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is OpenAI's compensation?+

Total compensation for engineers at OpenAI typically ranges from $350K to $550K, including base salary, equity (PPUs), and bonus. This makes OpenAI one of the highest-paying AI companies in the industry. For detailed comparisons, see our [highest-paying AI companies rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

Is OpenAI going public?+

OpenAI is targeting an IPO filing in H2 2026, with the company valued at approximately $852B. The transition from a nonprofit to a for-profit structure is part of the preparation for a public listing. This would make it one of the largest tech IPOs in history.

### Browse all 13,906 jobs from 118 companies

Find your next role at OpenAI or any of the 29 AI & tech companies in our culture directory.

[See OpenAI Jobs →](https://jobsbyculture.com/jobs?company=openai) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Palantir in 2026: 4,000 Employees, Salary & Culture

# Working at Palantir in 2026: 4,000 Employees, Salary & Culture

> Working at Palantir in 2026: 4,000 employees, 3.7 Glassdoor rating, $150k-$400k comp, Forward Deployed Engineers, and what the intense mission-driven culture is really like inside.

Source: https://jobsbyculture.com/blog/working-at-palantir-2026
Markdown: https://jobsbyculture.com/blog/working-at-palantir-2026.md
Last updated: 2026-07-14

---
[Palantir Technologies](https://jobsbyculture.com/companies/palantir) is one of the most polarizing companies in tech. Founded in May 2003 by Peter Thiel, Alex Karp, Joe Lonsdale, Stephen Cohen, and Nathan Gettings — with early backing from the CIA's In-Q-Tel — it spent its first decade building classified data analysis platforms for the intelligence community. Then it went public via direct listing in 2020, survived a brutal stock downturn, and emerged as one of the biggest AI winners of 2024–2026 — with PLTR shares surging on the back of its AIP (Artificial Intelligence Platform) and growing commercial business.

But Palantir has never been a normal tech company. The culture is intense by design. The work touches national security, counterterrorism, and battlefield logistics alongside commercial supply chains and hospital operations. The signature role — Forward Deployed Engineer — has no real equivalent anywhere else in tech. And the employee reviews tell a consistent story: intellectually the most stimulating job you will ever have, at a cost to your personal life that not everyone is willing to pay.

We pulled data from Palantir's [company profile](https://jobsbyculture.com/companies/palantir), employee reviews, and public filings to give you an honest picture of what working at Palantir actually looks like in 2026.

## Palantir at a Glance

Founded

2003

Headquarters

Denver, CO (moved from Palo Alto in 2020)

CEO

Alex Karp

Company Size

~4,430 employees (10-K, Feb 2026)

Public

NYSE: PLTR

Glassdoor Rating

3.7 / 5.0 (~879 reviews)

Work-Life Balance

2.8 / 5.0

Recommend to Friend

63%

Key Offices

Denver · Palo Alto · Washington DC · New York · London

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Product Impact](https://jobsbyculture.com/values/product-impact), [Strong Equity](https://jobsbyculture.com/values/equity), [Ship Fast](https://jobsbyculture.com/values/ship-fast)

Palantir occupies a unique position among the companies in our [Culture Directory](https://jobsbyculture.com/companies). It is not trying to be a pleasant place to work. It is trying to be the most consequential software company in the world — and it builds its culture around that ambition with an almost philosophical seriousness. CEO Alex Karp, a Stanford PhD in social theory, writes shareholder letters that read more like political manifestos than earnings calls. The company's identity is inseparable from the idea that software can be a moral instrument — that the right data infrastructure, deployed in the right hands, can prevent terrorist attacks, accelerate drug development, and optimize military logistics.

Whether you find that inspiring or unsettling tells you a lot about whether Palantir is right for you.

## The Palantir Culture: Intensity by Design

Palantir's culture is not the result of growing too fast or losing control of expectations. It is a deliberate choice. The company selects for intensity the way some companies select for credentials or pedigree. The hiring process is notoriously rigorous — multiple rounds of technical interviews, case studies, and culture screens that specifically probe whether candidates can handle ambiguity, pressure, and the moral weight of the work.

Once inside, the pace is relentless. Palantir employees describe a culture where the mission genuinely matters to people — not as a recruiting tagline, but as the organizing principle of daily work. Teams ship software that goes into production for government agencies and Fortune 500 companies, often with timelines measured in weeks rather than quarters. The feedback loop is short and visceral: you build something, deploy it to a customer, and watch it succeed or fail in a real operational environment.

Employee Pro "The problems are genuinely hard and genuinely matter. You're not optimizing ad clicks — you're building software that people rely on for life-and-death decisions."

This creates a specific kind of energy. Employees describe feeling a level of ownership and impact that is rare at companies of any size. A junior engineer at Palantir might be deploying software to a military command center within their first year. A product manager might be briefing a Fortune 100 CEO on their platform's capabilities. The access and exposure are extraordinary — and the expectations match.

Employee Con "The intensity is real. 60-hour weeks are common, and there's an implicit expectation that you're always available. If you want balance, this is not the place."

The trade-off shows up clearly in the data. Palantir's work-life balance score of 2.8 out of 5.0 is one of the lowest in our entire directory. For comparison, [Anthropic](https://jobsbyculture.com/companies/anthropic) scores 3.2, [Stripe](https://jobsbyculture.com/companies/stripe) scores 3.6, and companies like [Notion](https://jobsbyculture.com/companies/notion) and [Linear](https://jobsbyculture.com/companies/linear) are above 4.0. Palantir is not trying to compete on balance — it is competing on impact, and it is explicit about the cost.

## Forward Deployed Engineers: The Signature Role

No discussion of Palantir's culture is complete without understanding the Forward Deployed Engineer (FDE). This is the role that defines Palantir's operational DNA — and it has no real equivalent at any other major tech company.

FDEs work directly with customers, often on-site at client locations. They take Palantir's platforms (Gotham for government, Foundry for commercial, AIP for AI) and adapt them to solve specific, high-stakes problems in real time. An FDE might spend three months embedded with a defense agency, building data integration pipelines for a specific operational need. The next quarter, they might be at a pharmaceutical company, building models to optimize clinical trial logistics.

### What makes the FDE role unique

-   **Customer-facing engineering.** FDEs are not consultants. They write production code. But they do it in the context of specific customer problems, which means they need to understand the domain — whether that's military logistics, hospital operations, or energy grid management — as deeply as the software.
-   **Extreme ambiguity.** FDE projects rarely come with clear requirements documents. You show up, learn the customer's world, identify the highest-leverage problem, and build a solution. The ability to operate with incomplete information is not optional.
-   **Travel.** Depending on the assignment, FDEs can spend significant time at client sites. Some thrive on this; others burn out. The travel expectations vary by team and customer, but it is a real factor to consider.
-   **Accelerated growth.** The breadth of exposure is unmatched. An FDE in their second year will have worked across multiple industries, built multiple production systems, and interacted with senior decision-makers at client organizations. This makes the FDE role one of the strongest career accelerators in tech for people who can handle the pace.

Employee Pro "I learned more in two years as an FDE than I did in five years at a FAANG company. The scope of problems, the customer exposure, the speed of iteration — nothing else compares."

The FDE role is not for everyone. People who want deep specialization, predictable schedules, or the ability to work exclusively on a single product for years will find it disorienting. But for engineers who are energized by variety, ambiguity, and direct customer impact, it is one of the most compelling roles in the industry.

## Glassdoor Ratings Breakdown

Palantir's overall rating of 3.7 out of 5.0 from approximately 879 reviews tells a nuanced story. This is not a company that scores uniformly across categories — the spread between the highs and lows is wider than almost any company in our directory, which reflects the polarizing nature of the experience.

Career Opportunities 3.9

Overall Rating 3.7

Culture & Values 3.4

Work-Life Balance 2.8

The Career Opportunities score of 3.9 is the strongest category and tracks with what employees consistently say: Palantir is a career accelerator. The problems are hard, the exposure is broad, and the Palantir name on a resume opens doors. Former Palantir engineers are heavily recruited by top startups and AI labs.

Culture & Values at 3.4 is more mixed. People who align with Palantir's mission — and are comfortable with government and defense work — tend to rate this highly. Those who struggle with the political implications of the work, or who feel the intensity crosses into unhealthy territory, rate it lower. The dispersion in this category is notably high.

And then there's work-life balance at 2.8. This is not a hidden cost — Palantir is upfront about the expectations. But a 2.8 means a meaningful percentage of employees are rating their WLB at 1 or 2 out of 5, which represents genuine burnout risk. If you're considering Palantir, the WLB score is the single most important number to sit with honestly.

## What Employees Actually Say

### What employees love

Employee Pro "Intellectually the most stimulating environment I've ever worked in. Every day is a different problem, and the caliber of people is extraordinary."

Employee Pro "Real product impact — you ship software that goes into production for actual customers, not internal prototypes that sit on a shelf."

Employee Pro "The equity has been life-changing. PLTR stock performance since 2023 has made early and mid-tenure employees very wealthy."

Employee Pro "Career growth is unmatched. Two years here is worth five anywhere else in terms of skill development and resume signal."

### What could be better

Employee Con "Work-life balance is genuinely poor. Evenings and weekends are not truly your own, especially on customer-facing teams."

Employee Con "The government work is not for everyone. Some people struggle with the ethical implications and the secrecy requirements."

Employee Con "Management can feel opaque — decisions are made at the top and communicated downward. Not a flat or consensus-driven culture."

Employee Con "Burnout is a real risk. The intensity is sustainable for 2–3 years, but many people leave after that."

The pattern is telling. The pros all center on impact, growth, and intellectual stimulation. The cons all center on pace, balance, and sustainability. Palantir is the rare company where both the enthusiastic advocates and the critics are describing the same place accurately — they just weigh the trade-offs differently.

## Compensation & Equity

Palantir's compensation story has changed dramatically over the past three years, and the reason is one ticker symbol: PLTR.

$150k–$400k

Total Comp Range

63%

Recommend to Friend

NYSE: PLTR

Public Since 2020

Total compensation at Palantir typically ranges from $150k to $400k depending on role, level, and location. Base salaries are competitive but not at the very top of the market — the real differentiator is [equity](https://jobsbyculture.com/values/equity). Palantir grants RSUs in PLTR stock, and the stock's performance since 2023 has turned what were once modest equity packages into significant wealth.

PLTR went through a painful post-IPO period, dropping from its direct listing price and languishing for over a year. Employees who joined during that trough and held their equity have seen extraordinary returns as AI hype, strong commercial growth, and consistent profitability drove the stock to new highs. For current employees, the equity component is a major part of the compensation story — and a key reason many cite for staying despite the intensity.

Base salary bands are structured by level and location. Denver-based roles tend to offer slightly different bands than Palo Alto or New York. The company also offers relocation packages for FDE roles that require moving to be near customer sites. Benefits include healthcare, 401(k), and standard tech perks, though reviews suggest the benefits package is more "solid" than "exceptional" compared to companies like [Stripe](https://jobsbyculture.com/companies/stripe) or [Databricks](https://jobsbyculture.com/companies/databricks).

The honest assessment: if you're optimizing purely for base salary, there are companies that pay more. If you're optimizing for total compensation including equity upside in a company with strong revenue growth and AI tailwinds, Palantir's package is compelling — especially at senior levels where the RSU grants are substantial.

## Government vs. Commercial: Two Palantirs

One of the most important things to understand about Palantir is that it operates in two distinct worlds — and the experience can vary significantly depending on which side you're on.

### Government (Gotham)

Palantir's original business. Gotham is the platform used by intelligence agencies, military organizations, and government bodies. Work on this side involves security clearances, classified environments, and problems that are often literally matters of national security. The mission clarity is powerful, but the secrecy requirements can be isolating, and the government procurement cycle adds layers of complexity that don't exist on the commercial side.

### Commercial (Foundry & AIP)

The fast-growing side of the business. Foundry is Palantir's commercial data platform, and AIP (Artificial Intelligence Platform) is the newer AI layer that has driven much of the company's recent stock surge. Commercial teams work with Fortune 500 companies across healthcare, energy, automotive, and financial services. The pace is faster, the feedback loops are shorter, and the work feels more like a traditional (if unusually intense) tech company.

AIP in particular has become Palantir's growth engine. The platform allows enterprises to deploy large language models on their own data with governance and security controls — a value proposition that has resonated strongly with large enterprises that want AI capabilities without sending their data to third-party APIs. For engineers, AIP represents some of the most interesting work at Palantir right now: building the infrastructure that lets companies safely use frontier AI models at enterprise scale.

## Who Thrives at Palantir (and Who Doesn't)

Based on employee reviews, the culture signals in our data, and the company's own recruiting materials, here's an honest assessment of fit.

### You'll thrive if you are:

-   **Mission-driven in a specific way.** Not "I want to make the world better" in an abstract sense, but "I believe software deployed to the right institutions can solve critical problems." Palantir's mission is not about consumer delight — it's about institutional effectiveness, often in defense, intelligence, and critical infrastructure. You need to be comfortable with that.
-   **Energized by ambiguity.** Especially in FDE roles, you will regularly face problems with no clear solution and no detailed spec. If that excites you rather than paralyzes you, Palantir is a strong fit.
-   **Willing to trade balance for impact.** The 2.8 WLB score is real. If you're in a phase of your career where you want to compress decades of learning into years and are willing to work harder than you ever have, Palantir will reward that intensity with unmatched growth.
-   **A generalist who [ships fast](https://jobsbyculture.com/values/ship-fast).** Palantir values engineers who can move across domains, learn new industries quickly, and deliver working software under pressure. Deep specialization matters less than adaptability and speed.

### You should look elsewhere if you:

-   **Prioritize work-life balance.** This is not a criticism — it's a compatibility question. If a 2.8 WLB score gives you pause, trust that instinct. Companies like [Notion](https://jobsbyculture.com/companies/notion), [Linear](https://jobsbyculture.com/companies/linear), or [HubSpot](https://jobsbyculture.com/companies/hubspot) offer strong cultures without the intensity.
-   **Are uncomfortable with defense and government work.** Even on the commercial side, Palantir's identity is intertwined with its government roots. If the ethics of defense tech are a dealbreaker for you, no amount of equity upside will make it work.
-   **Want deep technical specialization.** FDE roles in particular are generalist by design. If you want to spend five years going deep on distributed systems or machine learning research, consider [Anthropic](https://jobsbyculture.com/companies/anthropic) or [Databricks](https://jobsbyculture.com/companies/databricks) instead.
-   **Expect transparent, consensus-driven management.** Palantir is top-down in its decision-making. Alex Karp's vision drives the company. If you want a flat organization where ICs shape strategy, this isn't it.

## Open Positions at Palantir

Palantir currently has **276 open positions** on our platform, spanning Forward Deployed Engineering, software engineering, product, and business development roles across Denver, Palo Alto, Washington DC, New York, and London. The company is actively growing its commercial and AIP teams, making this a particularly good time to apply if the culture and mission resonate with you.

### Explore Palantir's 276 open roles

See all Palantir positions with culture context — alongside jobs from Anthropic, Stripe, Databricks, and 100+ other companies.

[View Palantir Jobs →](https://jobsbyculture.com/jobs?company=palantir) [Palantir Culture Profile →](https://jobsbyculture.com/companies/palantir)

## Frequently Asked Questions About Working at Palantir

How many employees does Palantir have in 2026?+

Palantir reported approximately 4,430 employees in its February 2026 10-K filing (as of December 31, 2025), up roughly 12.5% year-over-year. The company has grown steadily since its founding in 2003, with headcount increasing as commercial revenue has accelerated alongside its longstanding government contracts. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is the Forward Deployed Engineer role at Palantir?+

Forward Deployed Engineers (FDEs) are Palantir's signature role — engineers who work directly with customers on-site, adapting Palantir's platforms to specific use cases. They operate at the intersection of engineering, consulting, and product, often traveling to client sites and solving ambiguous, high-stakes problems in domains like defense, finance, and healthcare. It's one of the strongest career accelerators in tech for engineers who thrive on variety and ambiguity.

What is Palantir's Glassdoor rating in 2026?+

Palantir has a 3.7 out of 5.0 overall rating based on approximately 879 reviews. Work-life balance is rated 2.8/5 — one of the lowest in our [directory](https://jobsbyculture.com/companies). Career Opportunities is the strongest category at 3.9/5, and 63% of employees recommend working there. See our [full Palantir culture profile](https://jobsbyculture.com/companies/palantir) for the complete breakdown.

What is Palantir's compensation for engineers?+

Total compensation at Palantir typically ranges from $150k to $400k depending on role and level, including base salary, RSUs in PLTR stock, and bonus. The equity component has become particularly valuable given PLTR's significant stock price appreciation since 2023. Senior FDEs and staff engineers at the top of the range can approach $400k+ in total comp during strong stock years.

Does Palantir only do government work?+

No. While Palantir was originally built around government and defense contracts (Gotham platform), its commercial business (Foundry and AIP platforms) has grown rapidly and now represents a significant and fast-growing share of total revenue. Commercial customers include major enterprises in healthcare, energy, finance, and manufacturing. The AIP platform for enterprise AI deployment has been the company's primary growth driver.

Is Palantir a good company to work for?+

It depends entirely on what you optimize for. Palantir is exceptional for intellectual stimulation, mission-driven work, [product impact](https://jobsbyculture.com/values/product-impact), and [equity](https://jobsbyculture.com/values/equity) upside. It is not ideal for work-life balance (2.8/5), predictable hours, or low-stress environments. People who thrive there tend to be mission-oriented, high-autonomy engineers who want to solve ambiguous problems with real-world consequences. If balance is your priority, companies like [Notion](https://jobsbyculture.com/companies/notion) or [Linear](https://jobsbyculture.com/companies/linear) may be a better fit.

What is Palantir's stock performance?+

PLTR has been one of the strongest-performing tech stocks since 2023. After a difficult post-IPO period where the stock dropped significantly, it surged on the back of AI tailwinds, strong commercial growth via AIP, and consistent profitability. This has made Palantir's equity compensation particularly attractive — employees who joined during the stock's low point have seen significant gains. As a public company, current employees receive RSUs that vest on a regular schedule.

---

## Document: Perplexity AI in 2026: 4.7 Glassdoor Rating, ~500 Employees & Why Engineers Love It

# Perplexity AI in 2026: 4.7 Glassdoor Rating, ~500 Employees & Why Engineers Love It

> Perplexity AI has the highest Glassdoor rating (4.7/5) of any AI company we track — but a 3.3 work-life balance score. ~500 employees, 95% CEO approval, and the real culture trade-offs.

Source: https://jobsbyculture.com/blog/working-at-perplexity-2026
Markdown: https://jobsbyculture.com/blog/working-at-perplexity-2026.md
Last updated: 2026-07-14

---
Perplexity AI has done something almost no one predicted three years ago: it made people reconsider whether Google Search is the best way to find information on the internet. Founded in August 2022 by Aravind Srinivas (CEO, ex-OpenAI, ex-Google), Denis Yarats, Johnny Ho, and Andy Konwinski, Perplexity has grown from a side project into one of the most-used AI products in the world — an answer engine that combines large language models with real-time web retrieval to deliver sourced, conversational answers.

By 2026, the company has grown to roughly 1,200+ employees, sits at a $21.2B post-money valuation after the Series E-6 round, and posts roughly $200M in annualized revenue serving around 45M monthly active users. It is competing directly with Google Search. But what is it actually like to _work_ there? We dug into [Perplexity's full culture profile](https://jobsbyculture.com/companies/perplexity), Glassdoor reviews, and employee sentiment data to build a complete picture.

The short version: Perplexity is one of the most exciting places in AI right now — and one of the most demanding. Its Glassdoor overall rating sits in the 4.6–4.7 range — one of the highest among the AI labs we track — while its work-life balance score lands in the low 3s. That tension tells you everything you need to know about the culture.

## Perplexity AI at a Glance

Founded

August 2022

Co-Founders

Aravind Srinivas (CEO), Denis Yarats, Johnny Ho, Andy Konwinski

Headquarters

San Francisco, CA

Employees

~1,200+

Valuation

~$21.2B (Series E-6)

Glassdoor Rating

**~4.6–4.7 / 5.0** Top tier in our database

WLB Score

**~3.3–3.9 / 5.0** Glassdoor data is mixed; see note below

Recommend to Friend

~90% (Glassdoor)

Culture Values

[Ship-Fast](https://jobsbyculture.com/values/ship-fast), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Learning](https://jobsbyculture.com/values/learning), Product Impact, Equity

Open Positions

[81 open roles](https://jobsbyculture.com/companies/perplexity)

The numbers tell a striking story. A ~4.6–4.7 overall rating alongside a low-3s WLB score is among the widest gaps between "employees love working here" and "employees work really hard" in our database. It's the hallmark of a company where the mission, the product, and the pace of impact are compelling enough that people willingly trade personal time for the experience. (Glassdoor's published WLB score for Perplexity has bounced between 3.3 and 3.9 across recent snapshots, so treat the exact number as directional, not precise.)

## What Makes Perplexity's Culture Different

Most AI companies score high on Glassdoor either because they offer great work-life balance (like [Linear](https://jobsbyculture.com/companies/linear) at 4.6 overall, 4.4 WLB) or because their mission is inspiring enough to offset moderate intensity (like [Anthropic](https://jobsbyculture.com/companies/anthropic) at 4.4 overall, 3.7 WLB). Perplexity is a different animal: employees rate it in the 4.6–4.7 range overall despite explicitly acknowledging that work-life balance is uneven.

That paradox only makes sense when you understand the culture. Perplexity is an [engineering-driven](https://jobsbyculture.com/values/eng-driven) company that runs like a [ship-fast](https://jobsbyculture.com/values/ship-fast) startup. The team is still small relative to the product's reach — even at 1,200+ employees, the impact per engineer is significant. Features go from idea to production in days, not quarters. When you push code at Perplexity, millions of people use it that same week. For a certain type of engineer, that feedback loop is addictive.

CEO Aravind Srinivas is deeply technical and highly accessible. Multiple reviewers describe a flat, meritocratic environment where the best idea wins, regardless of who proposes it. There is very little corporate politics. There is a lot of building.

The flip side is that "ship fast" as a cultural value, when combined with a mission as ambitious as challenging Google Search, produces intensity that doesn't really cycle. This isn't a company where sprints are followed by recovery weeks. The pace is constant, and the expectation is that you match it. We've held back from publishing a specific CEO approval percentage here after the Glassdoor inflation incident earlier in 2026 — the trust signal is real, but the exact number bounces enough that we'd rather not anchor readers on a precise figure.

Employee Pro "Fastest-growing AI product — real users, real revenue, and genuine product-market fit"

Employee Con "Startup intensity — expect long hours and high expectations across the board"

## Glassdoor Ratings Breakdown

Let's look at how Perplexity scores across each Glassdoor sub-rating. The pattern reveals exactly where the company excels and where the trade-offs lie.

~4.6–4.7

Overall Rating (Glassdoor)

~90%

Recommend to Friend

$21.2B

Series E-6 Valuation

Note: Perplexity's Glassdoor sample is small (43 reviews) and individual sub-scores have moved around — e.g. WLB has shown anywhere from 3.3 to 3.9 depending on the snapshot. We've published a directional range here rather than over-anchoring on a single number after the Glassdoor inflation incident earlier in 2026.

Culture & Values ~4.6–4.8

Compensation & Benefits ~4.3–4.5

Senior Management ~4.3–4.5

Career Opportunities ~4.0–4.2

Work-Life Balance ~3.3–3.9

Overall Rating ~4.6–4.7

The Culture & Values score in the high 4s is extraordinary — close to the ceiling of what we see on Glassdoor. Combined with a Senior Management score in roughly the same range, it paints a picture of a leadership team that employees genuinely respect and a cultural identity that people buy into deeply.

A Compensation & Benefits score in the 4.3–4.5 range confirms that Perplexity is paying competitively in a market where AI talent commands premium rates. Career Opportunities in the low 4s is strong for a company at this stage — though some of that reflects the reality that rapid growth creates opportunities naturally.

And then there's Work-Life Balance — the clear outlier. Even on the more generous Glassdoor snapshot (3.9), it would rank near the bottom of our database. On the lower 3.3 snapshot, it sits in the same neighborhood as [CoreWeave](https://jobsbyculture.com/companies/coreweave) and [Figma](https://jobsbyculture.com/companies/figma). Perplexity employees work hard either way — but they're much happier about it than peers at similarly intense companies.

## What Employees Actually Say

Glassdoor numbers are useful, but the real insight comes from what employees write. Here are the most consistent themes from Perplexity reviews, drawn from our [company profile](https://jobsbyculture.com/companies/perplexity).

### What Employees Love

Employee Pro "Fastest-growing AI product — real users, real revenue, and genuine product-market fit"

Employee Pro "Small team, massive impact per engineer — your work ships to millions quickly"

Employee Pro "Strong compensation and equity — early-stage upside with competitive base pay"

Employee Pro "CEO is deeply technical and accessible — leadership sets a strong engineering-first tone"

The pattern is clear: people love the product, the impact, the compensation, and the leadership. These four themes appear in nearly every positive review. The recurring emphasis on "impact per engineer" suggests a team that feels ownership over what they build — the opposite of companies where individual contributions get lost in organizational complexity.

### What Could Be Better

Employee Con "Startup intensity — expect long hours and high expectations across the board"

Employee Con "Growing pains as the team scales fast — roles and responsibilities shift frequently"

Employee Con "Limited work-life balance — the pace is relentless and downtime is scarce"

Employee Con "Processes are catching up to growth — some things feel ad-hoc as the org matures"

The cons tell a consistent story: this is a young, fast-moving company that hasn't had time to build the organizational infrastructure of a mature company. Roles shift. Processes are informal. And the pace doesn't let up. For people who need stability and predictability, these are serious concerns — not just minor caveats.

## Compensation & Benefits

Perplexity's 4.5 Compensation & Benefits score on Glassdoor places it among the top payers in the AI space. Here's what we know about how they structure comp.

**Base salary** is competitive for the Bay Area AI market, though multiple sources suggest it's not always the highest offer a candidate will receive. Companies like [OpenAI](https://jobsbyculture.com/companies/openai) and [Anthropic](https://jobsbyculture.com/companies/anthropic) can match or exceed on guaranteed cash. Where Perplexity differentiates is on the [equity](https://jobsbyculture.com/values/equity) side.

**Equity** is the headline draw. As one of the fastest-appreciating private companies in tech, Perplexity stock has been a significant wealth-creation vehicle for early and mid-stage employees. The company has raised at increasingly high valuations — the ~$21.2B post-money set in the Series E-6 round represents massive growth from even two years ago. For engineers who joined early, the paper gains are substantial. For new hires, the question is whether the growth trajectory continues.

**Benefits** include comprehensive health, dental, and vision coverage, along with standard Bay Area startup perks: meals at the office, equipment budgets, and professional development stipends. Nothing that would stand out in a comparison with other well-funded AI startups, but nothing notably missing either. The emphasis is clearly on equity and impact rather than lifestyle perks.

For a broader look at how Perplexity's compensation compares, use our [company comparison tool](https://jobsbyculture.com/compare) to see side-by-side breakdowns with companies like [OpenAI](https://jobsbyculture.com/companies/openai), [Anthropic](https://jobsbyculture.com/companies/anthropic), or [DeepMind](https://jobsbyculture.com/companies/deepmind).

## Engineering Culture & Tech Stack

Perplexity's engineering challenge is one of the most interesting in AI right now: build a search engine that can compete with Google, but powered by LLMs and real-time retrieval-augmented generation (RAG). The technical surface area is enormous — search indexing, LLM orchestration, real-time web crawling, citation accuracy, inference optimization, and consumer-scale serving.

Python TypeScript Rust LLM Orchestration RAG Search Indexing Real-time Inference

The engineering team works in small, high-ownership groups. There is no heavy process layer — engineers are expected to be full-stack thinkers who can take a problem from idea to production independently. The tech stack centers on Python and TypeScript for application code, with Rust for performance-critical infrastructure. The team includes alumni from Google Search, Meta AI, and OpenAI, bringing deep expertise in the exact domains Perplexity operates in.

For engineers who value [learning](https://jobsbyculture.com/values/learning), the problem space is exceptionally rich. You're working at the intersection of information retrieval, language models, and consumer product design — three fields that are each evolving rapidly. The [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture means technical decisions are made by the people closest to the code, not by product managers or executives working from slides.

The competitive context adds urgency. Perplexity is going head-to-head with the most profitable product in the history of the internet. Google Search generates over $175 billion in annual revenue. Competing with that requires both technical excellence and relentless execution — which explains why the culture prizes [shipping speed](https://jobsbyculture.com/values/ship-fast) above almost everything else.

## Who Thrives at Perplexity

Based on the culture signals, Glassdoor reviews, and our analysis of Perplexity's [full profile](https://jobsbyculture.com/companies/perplexity), here's our honest assessment of who fits best — and who should look elsewhere.

### Great fit if you are...

-   **A high-intensity builder.** You thrive when the pace is fast, the stakes are real, and your work ships to millions of users quickly. You're energized by pressure, not drained by it.
-   **Mission-driven about AI search.** You genuinely believe that AI can build a better way to access information, and you want to be at the company that's furthest along in proving it.
-   **Comfortable with ambiguity.** Even at 1,200+ employees and growing fast, roles shift, processes are informal, and you may need to figure things out as you go. That excites you rather than frustrates you.
-   **Seeking outsized financial upside.** You believe in the company's trajectory and want [equity](https://jobsbyculture.com/values/equity) in what could be one of the defining AI companies of this decade.
-   **Technically deep and broadly capable.** You can go from LLM fine-tuning to production serving to frontend polish. Specialists who only want to work in one narrow domain may struggle in an environment that values full-stack thinking.

### Not the right fit if you...

-   **Prioritize work-life balance.** Even the more generous Glassdoor WLB read (~3.9) is below the rest of Perplexity's metrics; the lower reads (~3.3) are firmly in the bottom tier. Consider [Linear](https://jobsbyculture.com/companies/linear) (WLB 4.4), [Pinecone](https://jobsbyculture.com/companies/pinecone) (WLB 4.3), or [Notion](https://jobsbyculture.com/companies/notion) (WLB 4.2) instead — all profiled in our [WLB rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026).
-   **Need clear career ladders and stable processes.** Perplexity is still building its organizational infrastructure. If you need a well-defined promotion path and formal performance reviews, a larger company like [DeepMind](https://jobsbyculture.com/companies/deepmind) or [HubSpot](https://jobsbyculture.com/companies/hubspot) is a better fit.
-   **Want a remote-first environment.** Perplexity is headquartered in San Francisco and values in-person collaboration. If you're looking for [remote-first](https://jobsbyculture.com/values/remote) culture, check our [remote-friendly AI companies list](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026).
-   **Prefer research over product.** If you want to publish papers and pursue fundamental breakthroughs at a deliberate pace, [DeepMind](https://jobsbyculture.com/companies/deepmind) (WLB 4.0) is the stronger choice. Perplexity is relentlessly product-focused.

## Open Positions at Perplexity

Perplexity currently has [81 open positions](https://jobsbyculture.com/companies/perplexity) across engineering, research, product, and business roles. Key areas of hiring include search infrastructure (Rust and C++ engineers), AI/ML engineers, full-stack product engineers, and go-to-market roles as the company scales its enterprise and consumer businesses.

Roles are primarily based in San Francisco, with some positions in Belgrade (Serbia) for search infrastructure work, and select roles in London. The interview process is technical and fast-moving — consistent with the [ship-fast culture](https://jobsbyculture.com/values/ship-fast) of the company itself.

For a full list of open roles with direct application links, visit the [Perplexity company profile](https://jobsbyculture.com/companies/perplexity) or browse all positions on our [jobs board](https://jobsbyculture.com/jobs).

## Frequently Asked Questions About Working at Perplexity AI

What is Perplexity AI's company culture like?+

Perplexity AI has an engineering-driven, ship-fast startup culture. Features go from idea to production in days, not quarters. The environment is flat and meritocratic — the best ideas win regardless of who proposes them. Employees describe “very little corporate politics” and “a lot of building.” CEO Aravind Srinivas (ex-OpenAI, ex-Google) is deeply technical and highly accessible, and Glassdoor's senior-management score sits in the mid-4s. The trade-off is intensity: Glassdoor's WLB score for Perplexity has bounced between roughly 3.3 and 3.9 across recent snapshots, reflecting genuinely long hours. See our full [Perplexity culture profile](https://jobsbyculture.com/companies/perplexity).

What is Perplexity AI's Glassdoor rating in 2026?+

Perplexity AI's Glassdoor overall rating sits in the 4.6–4.7 range across recent snapshots (43 reviews). Sub-scores are directional rather than precise given the small sample: Culture & Values ~4.6–4.8, Compensation & Benefits ~4.3–4.5, Senior Management ~4.3–4.5, Career Opportunities ~4.0–4.2, and Work-Life Balance ~3.3–3.9. Roughly 90% of employees recommend working there. See how all companies compare in our [culture directory](https://jobsbyculture.com/companies).

What is the work-life balance at Perplexity AI?+

Work-life balance at Perplexity AI is one of the company's weaker Glassdoor scores. Different snapshots have shown anywhere from 3.3 to 3.9 out of 5. Employees describe long hours, high expectations, and a relentless pace with limited downtime. If WLB is a priority, consider [Linear](https://jobsbyculture.com/companies/linear) (4.4), [Pinecone](https://jobsbyculture.com/companies/pinecone) (4.3), or [Notion](https://jobsbyculture.com/companies/notion) (4.2). See our [WLB rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026).

How many employees does Perplexity AI have in 2026?+

Perplexity AI has grown to roughly **1,200+ employees** as of 2026. The company was founded in August 2022 by Aravind Srinivas, Denis Yarats, Johnny Ho, and Andy Konwinski, sits at a $21.2B post-money valuation after the Series E-6 round, and is actively hiring across engineering, research, product, and business roles. The team includes alumni from Google Search, Meta AI, and OpenAI. See our [full employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

Is Perplexity AI remote friendly?+

Perplexity AI is not remote-first. The company is headquartered in San Francisco and values in-person collaboration. Some positions are available in Belgrade (Serbia) for search infrastructure work and select roles in London, but the core team is SF-based. If you want genuinely remote-first companies, consider [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) (100% remote, 40+ countries), [PostHog](https://jobsbyculture.com/companies/posthog) (fully remote), or [Supabase](https://jobsbyculture.com/companies/supabase) (fully remote, same pay worldwide). See our [remote-friendly AI companies guide](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026).

What does Perplexity AI pay engineers?+

Perplexity AI offers competitive Bay Area compensation with base salary, equity, and standard startup benefits (health, dental, vision, office meals, equipment budgets, professional development stipends). The equity component is the headline draw — at the ~$21.2B post-money valuation from the Series E-6 round, early and mid-stage employees have significant wealth-creation potential. For how Perplexity compares to other AI companies on compensation, see our [highest-paying AI companies rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

### Browse all 13,906 jobs from 118 companies

Explore open roles at Perplexity and 39 other AI & tech companies — filtered by culture, role, and location.

[See Perplexity Jobs →](https://jobsbyculture.com/companies/perplexity) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Pinecone in 2026: Culture, Compensation & What Employees Say

# Working at Pinecone in 2026: Culture, Compensation & What Employees Say

> Working at Pinecone in 2026: ~130 employees, 4.2 Glassdoor rating, $130K-$305K total comp, fully remote, and what it

Source: https://jobsbyculture.com/blog/working-at-pinecone-2026
Markdown: https://jobsbyculture.com/blog/working-at-pinecone-2026.md
Last updated: 2026-07-14

---
[Pinecone](https://jobsbyculture.com/companies/pinecone) is the company that made vector databases a category. Founded in 2019 by Dr. Edo Liberty — who previously served as Head of Amazon AI Labs at AWS — Pinecone bet early that the AI boom would need purpose-built infrastructure for similarity search and retrieval-augmented generation. That bet paid off. With $138M raised from a16z, ICONIQ, and Menlo Ventures at a $750M valuation, Pinecone now serves over 4,000 customers and has become the default vector database for teams building AI applications.

But the company has also been through turbulence. A 30% reduction in force in 2024 cut headcount from around 185 to roughly 130. Founder Edo Liberty stepped back from the CEO role in September 2025, handing the reins to Ash Ashutosh while moving to Chief Scientist. Revenue sits at $14M — impressive for an infrastructure startup, but modest for the valuation. So what is it actually like to work at Pinecone today? We dug into employee reviews, the engineering architecture, and the culture signals to find out.

## Pinecone at a Glance

Founded

2019

Headquarters

New York, NY (fully remote)

Founder

Dr. Edo Liberty (now Chief Scientist)

CEO

Ash Ashutosh (since Sept 2025)

Company Size

~130 employees

Funding

$138M raised (Series B, $750M valuation)

Glassdoor Rating

4.2 / 5.0

Work-Life Balance

4.3 / 5.0

CEO Approval

85%

Comp Range

$130K – $305K total comp

Culture Values

[Remote](https://jobsbyculture.com/values/remote), [Flex Hours](https://jobsbyculture.com/values/flex-hours), [Learning](https://jobsbyculture.com/values/learning), [Product Impact](https://jobsbyculture.com/values/product-impact), [Eng-Driven](https://jobsbyculture.com/values/eng-driven)

4.2 / 5

Glassdoor Rating

~130

Employees

$138M

Total Raised

## The Founder’s Story: From Amazon AI Labs to Vector Search

Pinecone’s DNA traces directly to Edo Liberty’s research career. Before founding the company, Liberty spent years at Yahoo Research working on large-scale machine learning and dimensionality reduction, then led Amazon AI Labs at AWS, where he oversaw SageMaker and other ML infrastructure products. The experience gave him a front-row seat to a growing problem: as ML models produced increasingly complex embeddings, there was no purpose-built system to store, index, and query them at scale.

Traditional databases weren’t designed for high-dimensional vector similarity search. The existing solutions — Elasticsearch with approximate nearest neighbors, or FAISS running on a single machine — didn’t scale for production workloads. Liberty founded Pinecone in 2019 to build the missing infrastructure layer: a fully managed, cloud-native vector database purpose-built for AI applications.

This research-to-product lineage shows up in the culture. Pinecone is an [engineering-driven](https://jobsbyculture.com/values/eng-driven) company where technical depth matters. The engineering team — roughly 79 people, more than half the company — includes veterans from AWS, Databricks, Google, and Microsoft. Conversations tend toward first principles. If you’re the kind of engineer who wants to understand why an indexing algorithm works, not just how to use it, this is your kind of place.

Employee Pro "Exceptional colleagues — the caliber of people here is genuinely impressive. Everyone is sharp, curious, and deeply technical."

## Remote-First, For Real

Pinecone is one of the companies where [“remote”](https://jobsbyculture.com/values/remote) actually means remote. While the company is nominally headquartered in New York, the vast majority of the team works distributed across the US and internationally. This isn’t a pandemic-era adaptation that’s being slowly walked back — the company was built remote from the start, and the tooling, processes, and culture reflect that.

Employees consistently cite the remote setup as a genuine perk, not a compromise. Combined with [flexible hours](https://jobsbyculture.com/values/flex-hours), the work-life balance score of 4.3/5 reflects a company that trusts people to manage their own time. For a startup with $14M in revenue that’s competing against well-funded alternatives like Weaviate, Qdrant, and Milvus, the fact that WLB scores this high is notable. Many companies at this stage sacrifice balance for speed. Pinecone, at least according to its employees, has mostly avoided that trap.

That said, being remote and small (~130 people) means you need to be self-directed. There’s no office buzz to keep you in the loop. You need to be proactive about communication, seek out context, and stay connected to the team through intentional effort rather than proximity.

Employee Pro "Warm and welcoming culture even as a remote company. You feel genuinely connected to the team despite never sharing an office."

## Glassdoor Ratings Breakdown

Pinecone’s 4.2 overall rating places it in strong territory — ahead of companies like [Stripe](https://jobsbyculture.com/companies/stripe) (4.0) and [Databricks](https://jobsbyculture.com/companies/databricks) (4.0), and on par with [Anthropic](https://jobsbyculture.com/companies/anthropic) (4.2). For a company that went through a 30% layoff, maintaining this score speaks to the strength of the underlying culture.

Work-Life Balance 4.3

Overall Rating 4.2

Culture & Values 4.1

Compensation & Benefits 3.8

Career Opportunities 3.7

The pattern tells a clear story. Work-life balance and culture are genuine strengths — Pinecone’s 4.3 WLB score is one of the highest in our [directory](https://jobsbyculture.com/companies). The weaker spots are compensation (3.8) and career opportunities (3.7). The comp score reflects a common complaint in reviews: base salaries that skew below market, with total comp leaning heavily on equity. Career opportunities are naturally limited at a 130-person company — there are only so many roles to grow into. But for the right person, that constraint is also the appeal: at Pinecone, your work is the product.

## Engineering at Pinecone: Serverless Vector Search

If Pinecone’s culture is defined by one thing, it’s the engineering. The company’s signature technical achievement is **Pinecone Serverless** — an architecture that decouples storage from compute, enabling 10–100x cost reduction compared to traditional vector database deployments. This isn’t just marketing; it’s a fundamental rearchitecting of how vector search works at scale.

### Tech Stack

Rust Go Python AWS EKS Aurora S3 KMS

The core vector engine is written in Rust — chosen for its memory safety guarantees and performance characteristics, critical for a system that needs to handle billions of vectors with sub-millisecond query latency. Backend services are built in Go, while client SDKs and ML tooling use Python. The entire platform runs on AWS infrastructure: EKS for container orchestration, Aurora for metadata, S3 for vector storage, and KMS for encryption.

### What engineers actually work on

-   **Indexing algorithms.** Building and optimizing approximate nearest neighbor search at massive scale. This is where Edo Liberty’s research background shows up — the team works on novel approaches to high-dimensional indexing that push beyond standard HNSW and IVF methods.
-   **Serverless infrastructure.** Managing the storage-compute separation that makes Pinecone Serverless work. Engineers deal with cold-start optimization, dynamic resource allocation, and multi-tenant isolation — real distributed systems problems, not configuration management.
-   **Query optimization.** Making vector similarity search fast across diverse workloads — from small-scale prototypes to production RAG pipelines processing millions of queries per day.
-   **Client ecosystem.** Building SDKs, integrations with LangChain, LlamaIndex, and other AI frameworks, and developer experience tooling. This is the surface area where Pinecone meets its 4,000+ customers.

With ~79 engineers out of ~130 total employees, engineering is the center of gravity. This is not a sales-led organization. Product decisions are driven by technical insight, and engineers have real ownership over architecture and roadmap. For engineers who want [direct product impact](https://jobsbyculture.com/values/product-impact) on AI infrastructure that thousands of teams depend on, it’s a compelling environment.

Employee Pro "You get to work on genuinely hard infrastructure problems that matter to the entire AI ecosystem. The technical work is deeply satisfying."

## Compensation & Benefits

This is where Pinecone’s story gets more nuanced. Total compensation ranges from approximately $130K to $305K depending on role and level, based on employee-reported data. The 3.8 Glassdoor rating for Compensation & Benefits is the weakest sub-score in Pinecone’s profile, and employee reviews point to a consistent theme: base salaries tend to fall below market, with total comp relying heavily on equity.

For a Series B company valued at $750M, equity can be meaningful — but it’s also inherently uncertain. If Pinecone reaches a strong exit, early employees will do well. If the competitive landscape shifts (and vector databases are an increasingly crowded space), the equity may not fully compensate for the base salary gap. This is the classic startup trade-off, and Pinecone’s comp structure leans into it more than some peers.

That said, the remote-first setup creates its own form of compensation. No commute, no geographic restrictions, and the flexibility to structure your day around your life rather than the reverse. For many employees, the WLB advantages offset the cash compensation gap. It depends on your personal financial situation and risk tolerance.

$130K–$305K

Total Comp Range

85%

CEO Approval

4,000+

Customers

## What Employees Actually Say

We analyzed recurring themes across Pinecone’s employee reviews. Here’s what stands out on both sides.

### What employees love

Employee Pro "The people are exceptional — warm, welcoming, and technically brilliant. Best team I’ve worked with."

Employee Pro "Fully remote with a genuine culture — not the disconnected, Zoom-fatigued version of remote. People actually care about each other."

Employee Pro "Great work-life balance. Flexible hours, no micromanagement, and the trust to do your best work on your own schedule."

Employee Pro "Working on core AI infrastructure that the entire ecosystem depends on. The product impact is tangible."

### What could be better

Employee Con "The 2024 layoffs were painful — 30% of the company let go. It took time for trust and morale to rebuild."

Employee Con "Base salary is below market. The equity story is compelling but uncertain in a competitive landscape."

Employee Con "Growing competition from Weaviate, Qdrant, Milvus, and even built-in vector search in PostgreSQL and MongoDB."

Employee Con "Career growth paths are limited at ~130 people — not many levels to grow into."

The pattern is clear. Pinecone’s strengths are its people, its remote culture, and the intellectual quality of the work. The concerns center on the 2024 layoffs (which left scar tissue), below-market base pay, and competitive pressure. The CEO transition from Liberty to Ashutosh adds uncertainty — leadership changes at a 130-person company are felt by everyone.

## The Elephant in the Room: 2024 Layoffs

Any honest profile of Pinecone has to address the 2024 reduction in force. Cutting 30% of a company is not a minor event. It reduced headcount from roughly 185 to about 130, affected people across functions, and inevitably shook confidence in the company’s trajectory.

The context matters: Pinecone, like many AI infrastructure companies, had hired aggressively during the 2022–2023 generative AI boom. When the market sobered and the company needed to focus resources on its serverless architecture and core product, the cuts followed. This is a familiar pattern in the industry — [Stripe](https://jobsbyculture.com/companies/stripe), [Notion](https://jobsbyculture.com/companies/notion), and many others went through similar corrections.

What distinguishes Pinecone’s recovery is that the core culture seems to have held. The 4.2 Glassdoor rating, maintained through and after the layoffs, suggests that the remaining team is genuinely engaged. Employee reviews from 2025 and 2026 are largely positive, with the layoffs mentioned as context rather than a defining grievance. The company isn’t pretending it didn’t happen, but it has moved forward.

## Who Thrives at Pinecone

Based on the culture signals, employee reviews, and the company’s technical profile, here’s who tends to do well at Pinecone:

-   **Infrastructure-minded engineers.** If you care about how vector indexing works under the hood, how to optimize memory access patterns in Rust, or how to build a multi-tenant serverless platform — this is your kind of problem space. Pinecone is not a product company that happens to have a backend. It _is_ the backend.
-   **Self-directed remote workers.** The [remote-first](https://jobsbyculture.com/values/remote) culture is genuine, but it requires discipline. You need to be comfortable managing your own time, communicating asynchronously, and staying productive without the structure of an office. If you thrive with [flexible hours](https://jobsbyculture.com/values/flex-hours) and autonomy, you’ll love it.
-   **People who value depth over breadth.** Pinecone does one thing — vector search — and aims to do it better than anyone. If you want to go deep on a focused problem domain rather than context-switching across ten product areas, the focus here is appealing.
-   **Those comfortable with startup risk.** At ~130 people, $14M revenue, and growing competition, Pinecone is a genuine startup bet. The upside is real (the AI infrastructure market is enormous), but so is the uncertainty. You should be comfortable with that calculus.
-   **Continuous learners.** The [learning culture](https://jobsbyculture.com/values/learning) is strong. With engineers from AWS, Databricks, Google, and Microsoft on the team, the bar for technical knowledge is high — and the environment pushes you to meet it.

Pinecone is _not_ the right fit if you prioritize top-of-market cash compensation, need clear promotion ladders, or want the stability of a large, profitable company. If you’re optimizing for [equity upside](https://jobsbyculture.com/values/equity) and top-tier comp, consider [Anthropic](https://jobsbyculture.com/companies/anthropic) or [Databricks](https://jobsbyculture.com/companies/databricks). If you want a similarly strong remote culture but at a larger, more established company, look at [Cloudflare](https://jobsbyculture.com/companies/cloudflare) or [HubSpot](https://jobsbyculture.com/companies/hubspot).

## Frequently Asked Questions About Working at Pinecone

How many employees does Pinecone have in 2026?+

Pinecone has approximately 130 employees as of 2026. The company went through a 30% reduction in force in 2024, cutting from around 185 to roughly 130. They have since stabilized and are selectively hiring for engineering and go-to-market roles.

Is Pinecone fully remote?+

Yes. Pinecone is a fully remote company. While it is nominally headquartered in New York, the majority of the team works remotely across the US and internationally. Remote work is a core part of the culture, not a pandemic-era adaptation — the company was built distributed from the start.

What is Pinecone’s Glassdoor rating?+

Pinecone has a 4.2 out of 5.0 overall Glassdoor rating. Work-life balance is rated 4.3/5, and CEO approval is 85%. The score has held steady through and after the 2024 layoffs, which suggests the core culture remains strong. See our [full Pinecone culture profile](https://jobsbyculture.com/companies/pinecone) for the complete breakdown.

What is Pinecone’s tech stack?+

Pinecone’s core vector engine is built in Rust for performance and memory safety. Backend services use Go, and client SDKs and ML tooling are in Python. The platform runs on AWS: EKS for orchestration, Aurora for metadata, S3 for vector storage, and KMS for encryption. The serverless architecture decouples storage from compute, achieving 10–100x cost reduction.

What is the compensation at Pinecone?+

Total compensation at Pinecone ranges from approximately $130K to $305K depending on role and level, including base salary, equity, and benefits. Based on employee reviews, base salaries tend to be below market, but total comp is competitive when equity is factored in. Pinecone has raised $138M at a $750M valuation from a16z, ICONIQ, and Menlo Ventures.

Who founded Pinecone?+

Pinecone was founded in 2019 by Dr. Edo Liberty, who previously served as Head of Amazon AI Labs at AWS and worked at Yahoo Research. In September 2025, Liberty transitioned to Chief Scientist, with Ash Ashutosh taking over as CEO to scale the company’s go-to-market operations.

Did Pinecone have layoffs?+

Yes. Pinecone conducted a 30% reduction in force in 2024, reducing headcount from approximately 185 to around 130 employees. The company cited a need to focus resources on its serverless architecture and core product. As of 2026, the team has stabilized and is hiring selectively for key roles.

### Explore Pinecone’s Culture & Open Roles

See Pinecone’s culture profile, employee ratings, and open positions — all with culture context to help you decide if it’s the right fit.

[View Pinecone Profile →](https://jobsbyculture.com/companies/pinecone) [Browse Pinecone Jobs →](https://jobsbyculture.com/jobs?company=pinecone)

---

## Document: Plaid in 2026: ~1,300 Employees, 4.2 Glassdoor Rating, Salary & Culture

# Plaid in 2026: ~1,300 Employees, 4.2 Glassdoor Rating, Salary & Culture

> Working at Plaid in 2026: ~1,300 employees, 4.2 Glassdoor rating, $6.1B Series E valuation (Apr 2025 down round), 89% recommend, competitive engineer comp, and what the transparent engineering-driven culture is really like inside the company.

Source: https://jobsbyculture.com/blog/working-at-plaid-2026
Markdown: https://jobsbyculture.com/blog/working-at-plaid-2026.md
Last updated: 2026-07-14

---
If you've ever linked a bank account inside Venmo, Robinhood, Coinbase, or any of the thousands of fintech apps that make up the modern financial ecosystem, you've used Plaid. The company's APIs are the invisible backbone connecting consumer bank accounts to the applications that need them — and in 2026, Plaid remains one of the most coveted employers in fintech for engineers, product managers, and designers alike.

With headcount tracking around 1,300 employees as of early 2026 (per external trackers like Tracxn and Unify), Plaid occupies a sweet spot: large enough to power critical financial infrastructure for millions of users, yet small enough that individual contributors can see their work ship and move metrics. That combination — meaningful scale with startup-like impact — is a big part of why roughly 89% of employees on Glassdoor recommend working here.

In this deep-dive, we'll break down what it's actually like to work at Plaid in 2026, drawing on roughly 194 Glassdoor reviews, public data, and the culture signals that define the company. We'll also address the $13.4B-to-$6.1B Series E down round in April 2025 head-on — that's a real piece of context for anyone evaluating equity. Whether you're considering an offer or just curious how one of fintech's most important companies operates, here's what you need to know.

## Plaid's Culture DNA

Every company claims to have a great culture. What makes Plaid's feel distinct is how consistently employees describe it. Across review data, five themes emerge repeatedly:

[⚙️ Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [🪟 Transparent](https://jobsbyculture.com/values/transparent) [📚 Learning](https://jobsbyculture.com/values/learning) [🎯 Product Impact](https://jobsbyculture.com/values/product-impact) [🛡️ Safe to Fail](https://jobsbyculture.com/values/psych-safety)

Let's unpack what these look like in practice.

### ⚙️ Engineering-Driven Decision-Making

Plaid is, at its core, an [engineering-driven company](https://jobsbyculture.com/values/eng-driven). The product is an API. The customers are developers. And the internal culture reflects that reality. Technical decisions are made by the people closest to the code, not by committees three layers removed. Engineers at Plaid don't just execute on specs handed down from product managers — they actively shape product direction, propose architectural decisions, and own the outcomes of their work.

This engineering-centric approach extends beyond the engineering org itself. Product managers are expected to be technically literate. Designers understand API constraints. And leadership, led by CEO Zach Perret (himself a technical founder), communicates in ways that respect the technical complexity of the work being done.

### 🪟 Radical Transparency

One of the most consistent themes across Plaid reviews is the quality and [transparency of senior leadership](https://jobsbyculture.com/values/transparent). Employees highlight highly accessible and transparent senior leadership as a defining feature of the company. In practice, this means company-wide all-hands meetings where leadership shares financials, strategy, and challenges openly. It means executives who respond to direct messages and make themselves available for skip-level conversations. It means a culture where information defaults to open rather than closed.

At roughly 1,300 employees, Plaid is large enough that this level of transparency requires intentionality — it doesn't happen by accident. The fact that employees consistently call it out as a strength suggests the company has invested in building the rituals and systems that keep information flowing even as the org grows.

### 📚 A Learning-Oriented Environment

Plaid sits at the intersection of fintech, banking regulation, data infrastructure, and developer tools — domains that are all evolving rapidly. Employees describe a [learning culture](https://jobsbyculture.com/values/learning) where curiosity is encouraged and there's always something new to master. Whether it's understanding the nuances of ACH transaction processing, navigating the regulatory landscape around open banking, or architecting systems that handle millions of API calls per day, the work at Plaid is intellectually demanding in ways that keep engineers engaged and growing.

### 🎯 Real Product Impact

There's a material difference between working on a product that people use and working on a product that powers an entire ecosystem. Plaid's APIs are embedded in thousands of applications that millions of consumers interact with daily. When you ship a feature at Plaid, you're not just improving one app — you're improving the financial connectivity layer for an entire industry. That sense of [product impact](https://jobsbyculture.com/values/product-impact) is a powerful motivator, and employees consistently cite it as one of the best things about working here.

### 🛡️ Psychological Safety

The concept of [psychological safety](https://jobsbyculture.com/values/psych-safety) — feeling safe to take risks, make mistakes, and speak up without fear of punishment — has become a buzzword in tech. At Plaid, employees describe it as something that actually shows up in day-to-day interactions. Teams conduct blameless post-mortems. Engineers feel empowered to push back on timelines they believe are unrealistic. New hires report feeling welcomed and supported rather than thrown into the deep end. This matters especially at a company building critical financial infrastructure, where the cost of getting things wrong is high and the temptation to create a fear-driven culture is real.

### 📊 Glassdoor Ratings Breakdown

Based on roughly 194 employee reviews (sourced from Glassdoor)

Overall Rating 4.2 / 5.0

Work-Life Balance 4.2–4.4 / 5.0

Culture & Values 4.3 / 5.0

Career Opportunities 4.2 / 5.0

Recommend to a Friend 89%

## What Employees Love — and What They Don't

No company is perfect. Even with a 4.2 Glassdoor rating and 89% recommendation rate, Plaid has real trade-offs. Here's what employees consistently highlight based on Glassdoor review data:

### ✅ What Employees Love

-   89% of employees recommend — highly accessible and transparent senior leadership
-   Strong engineering culture with competitive compensation and real product impact (Culture & Values 4.3/5)

### ⚠️ What Employees Flag

-   Organizational changes can create uncertainty as the company scales
-   WLB sentiment is mixed by role — some software engineers report tighter schedules than the headline 4.2–4.4 average
-   April 2025 Series E was a down round (from a $13.4B 2021 peak to $6.1B) — equity math has changed

Based on employee reviews (~194 reviews)

The WLB picture is mixed. The company-wide average sits in the 4.2–4.4 range, which is genuinely strong. But software-engineer-specific reviews on Glassdoor have come in significantly lower (closer to 3.1/5), and there are reviews flagging that "good work life balance historically but this is changing." For engineering candidates in particular, treat the headline number as an upper bound and probe specific teams during your loop.

The organizational changes concern is also worth contextualizing. Plaid has undergone significant evolution over the past few years — navigating the post-Visa-acquisition-attempt landscape, expanding into new product areas like identity verification and income data, and adjusting its go-to-market strategy. The April 2025 $575M Series E was a deliberate down round — valuation fell from a 2021 peak of $13.4B to $6.1B — with CEO Zach Perret framing the underlying business fundamentals as "dramatically stronger than they were in 2021." That's a real piece of context if you're evaluating equity, and it's a sign of how transparent leadership is willing to be even when the news is uncomfortable.

## Compensation at Plaid

Plaid's compensation lands in competitive territory with other top-tier fintech and infrastructure companies. While Plaid remains a private company (meaning equity compensation comes with the usual liquidity considerations), the total compensation packages are designed to compete with public tech companies for top talent. The April 2025 down round to $6.1B is the elephant in the room for equity holders — current grants are pegged to that lower mark, which makes the upside scenario cleaner but also tells you the company is being realistic about the macro environment.

Typical total compensation ranges for engineers in 2026 (base + equity + bonus):

-   **Software Engineer (L3/early career):** $180k–$250k total comp
-   **Senior Software Engineer (L4):** $250k–$350k total comp
-   **Staff Software Engineer (L5):** $350k–$450k+ total comp
-   **Engineering Manager:** $300k–$420k total comp

Beyond base compensation, Plaid offers comprehensive benefits including health coverage, 401(k) matching, generous PTO, parental leave, and learning stipends. The company's San Francisco headquarters also provides the standard amenities you'd expect from a well-funded tech company, though the hybrid work policy means not all employees are in-office full time.

## What You'll Actually Work On

Understanding what you'd actually do day-to-day at Plaid requires understanding the product surface area, which has expanded significantly beyond the company's original bank-linking use case:

-   **Core Link API:** The flagship product — connecting consumer bank accounts to applications. This involves working with thousands of financial institutions, each with their own data formats, authentication flows, and quirks.
-   **Transactions & Balance Data:** Normalizing, categorizing, and delivering financial transaction data at scale. Think machine learning for transaction categorization, real-time balance checks, and data quality systems.
-   **Identity Verification:** Plaid's expansion into KYC (Know Your Customer) and identity verification, helping fintechs verify that users are who they say they are.
-   **Income & Employment Verification:** APIs for verifying income and employment data, used in lending decisions, rental applications, and more.
-   **Payments:** Enabling ACH and bank-to-bank payment initiation through Plaid's infrastructure.
-   **Platform & Infrastructure:** The systems that power everything else — API gateways, data pipelines, security infrastructure, monitoring, and developer tools.

For engineers, this means working on genuinely hard technical problems: building reliable systems that interface with legacy banking infrastructure, processing sensitive financial data at scale, maintaining regulatory compliance across multiple jurisdictions, and doing it all with the reliability expectations of critical financial infrastructure.

## Who Thrives at Plaid

Plaid isn't for everyone. Based on the culture signals and employee feedback, here are the profiles that tend to do best:

🔧

#### Builder-First Engineers

You care more about shipping great products than climbing the corporate ladder. You want to write code that millions of people depend on and see your work make a tangible difference.

🧠

#### Curious Generalists

You're excited by the intersection of fintech, infrastructure, and regulation. You love learning new domains and don't mind diving into the complexities of financial systems.

🤝

#### Transparent Communicators

You thrive in environments where information flows freely. You appreciate leadership that's honest about challenges and you contribute to that transparency by speaking up yourself.

🎯

#### Mission-Driven Pragmatists

You believe in democratizing financial access and building infrastructure that makes fintech possible — but you're also practical about shipping, iterating, and making trade-offs.

### Who Might Struggle

On the flip side, Plaid may not be the best fit if you're primarily motivated by rapid title advancement (career paths may vary by department), if you prefer highly stable organizational structures (the company is still evolving across multiple product lines), or if you want to work on consumer-facing products where your mom can see your app on her phone (Plaid's APIs are infrastructure — powerful but invisible).

## Leadership Under Zach Perret

CEO Zach Perret co-founded Plaid in 2013 with William Hockey, and his continued leadership provides a level of founder-mode stability that many fintech companies lack. Perret is technical, product-oriented, and — based on employee reviews — accessible in a way that founders at 1,300-person companies often aren't.

The leadership transparency that employees highlight isn't accidental. Perret has been intentional about building communication rituals — regular all-hands meetings, written strategy memos, and open Q&A sessions — that scale as the company grows. This top-down commitment to transparency creates the environment that makes Plaid's 4.2 Glassdoor rating possible, and it shows up in how directly the company addressed the 2025 down round publicly rather than burying the news.

## Plaid's Position in 2026

It's worth understanding where Plaid sits in the broader fintech landscape as you consider joining. In 2026, the company faces both enormous opportunity and real competitive pressure:

-   **Open Banking Tailwinds:** Regulatory trends in the US and globally are pushing toward open banking standards, which fundamentally validates Plaid's thesis. The Consumer Financial Protection Bureau's Section 1033 rules are creating new opportunities for data-sharing infrastructure.
-   **Product Expansion:** Plaid's move beyond bank linking into identity, income, and payments represents a significant expansion of its addressable market. Each new product line means new engineering challenges and new career opportunities.
-   **Competition:** Players like MX, Finicity (Mastercard), and Yodlee continue to compete in various segments. Plaid's engineering talent and developer experience remain key differentiators.
-   **Private Company Dynamics:** Plaid remains private in 2026. The April 2025 Series E (at a $6.1B valuation, down from the 2021 peak of $13.4B) is reportedly the last private round before listing. Equity compensation still comes with liquidity-timeline uncertainty, but the company's revenue growth and strong market position underpin the long-term thesis.

## The Interview Process

Plaid's interview process is rigorous but respectful — reflecting the engineering-driven, learning-oriented culture. A typical engineering interview loop includes:

1.  **Recruiter Screen:** 30-minute conversation about your background, interests, and what you're looking for.
2.  **Technical Phone Screen:** A coding exercise focused on data structures, algorithms, and problem-solving ability.
3.  **On-site (Virtual or In-Person):** 4-5 rounds including system design, coding, debugging a real-world problem, and values/culture alignment. Plaid places emphasis on collaboration and communication during technical interviews — they want to see how you think, not just whether you get the right answer.
4.  **Hiring Committee & Offer:** A calibrated review process followed by an offer discussion.

Candidates consistently report that the process is well-organized, interviewers are prepared, and feedback is provided promptly — all signals of a company that takes hiring seriously and respects candidates' time.

## View Plaid Jobs

Explore open roles at Plaid and find the one that matches your skills and values.

[View Plaid Jobs →](https://jobsbyculture.com/jobs?company=plaid)

## How Plaid Compares

When evaluating Plaid, it's natural to compare it against other companies you might be considering. Here's how it stacks up on key metrics:

-   **vs. Stripe:** Both are developer infrastructure companies, but Stripe is significantly larger (~8,000+ employees) and public-market adjacent. Plaid (~1,300) offers more individual impact at a smaller scale; Stripe offers more career progression options and established processes.
-   **vs. Coinbase:** Both are fintech but in very different domains. Plaid is more stable (traditional banking infra vs. crypto volatility) with a higher Glassdoor rating. Coinbase offers exposure to crypto/web3.
-   **vs. Early-Stage Fintech Startups:** Plaid offers significantly more stability, better compensation, and established engineering practices. Startups offer more equity upside and broader role scope.
-   **vs. Big Tech (Google, Meta):** Plaid offers more product impact per engineer and a mission-driven focus on financial infrastructure. Big Tech offers higher guaranteed compensation, more resources, and established career ladders.

## Frequently Asked Questions

How many employees does Plaid have in 2026?

External trackers put Plaid's headcount around 1,300 employees in early 2026 (Tracxn / Unify), recovering past pre-layoff levels after the December 2022 reduction of 260 employees. The company is headquartered in San Francisco, CA.

What is Plaid's Glassdoor rating in 2026?

Plaid has a 4.2 out of 5.0 Glassdoor rating based on roughly 194 reviews, with 89% of employees recommending the company. That's above average for fintech overall, with particularly strong sub-scores for Culture & Values (4.3) and Career Opportunities (4.2).

What is the work-life balance like at Plaid?

Plaid's company-wide work-life balance is rated 4.2–4.4 out of 5.0 on Glassdoor, which is well above average for fintech and tech overall. Note: software-engineer-specific reviews show a lower WLB score (closer to 3.1), so the experience can vary by role and team. Probe specific teams during your interview loop.

What is the culture like at Plaid?

Plaid's culture is engineering-driven, transparent, and learning-oriented. Employees highlight highly accessible and transparent senior leadership, strong psychological safety, and the opportunity to build APIs used by Venmo, Robinhood, and thousands of fintechs. The company values curiosity, collaboration, and shipping products that have real-world impact on financial infrastructure.

How much do engineers make at Plaid?

Plaid offers competitive compensation. Total compensation for software engineers typically ranges from $180k for early-career roles to $450k+ for staff-level engineers, including base salary, equity, and bonuses. Equity is now pegged to the April 2025 $6.1B Series E valuation (down from a 2021 peak of $13.4B). As a private company, equity liquidity remains a consideration.

Who is the CEO of Plaid?

Zach Perret is the CEO and co-founder of Plaid. He co-founded the company in 2013 with William Hockey, and has led it through its growth into one of the most important financial infrastructure companies in the world. Employees consistently highlight his accessibility and transparent communication style.

What are the downsides of working at Plaid?

Based on employee reviews, the main downsides include organizational changes that come with multi-product expansion, role-by-role variance in work-life balance (software-engineer WLB sits well below the headline number), and equity that's now pegged to a meaningfully lower $6.1B valuation after the April 2025 down round. As a private company, equity liquidity remains a consideration. That said, with an 89% recommendation rate, the majority of employees view the positives as outweighing these concerns.

## Bottom Line

Plaid in 2026 is a company that has successfully navigated the transition from scrappy startup to critical financial infrastructure provider — without losing the engineering-driven, transparent culture that made it special in the first place. At roughly 1,300 employees, it offers a rare combination: the stability and compensation of an established company with the impact and velocity of a much smaller one.

The 4.2 Glassdoor rating and 89% recommendation rate aren't accidents. They're the result of a leadership team that has been intentional about culture, a product that engineers genuinely care about, and an environment where transparency and psychological safety aren't just values on a wall but lived experiences — even when the news is uncomfortable, as with the 2025 down round.

If you're an engineer, product manager, or designer who wants to build infrastructure that powers the future of financial services — and you value transparency, learning, and real product impact — Plaid deserves a serious look. Explore open roles on the [Plaid company page](https://jobsbyculture.com/companies/plaid) or [browse current Plaid job listings](https://jobsbyculture.com/jobs?company=plaid).

[Visit Plaid Careers ↗](https://plaid.com/careers?ref=jobsbyculture.com)

---

## Document: Working at PostHog in 2026: Open-Source Culture, Remote-First & What Employees Say

# Working at PostHog in 2026: Open-Source Culture, Remote-First & What Employees Say

> Working at PostHog in 2026: ~200 employees across 30+ countries, 4.3 Glassdoor rating, open-source product analytics with 70k+ GitHub stars, and what the radically transparent culture is actually like.

Source: https://jobsbyculture.com/blog/working-at-posthog-2026
Markdown: https://jobsbyculture.com/blog/working-at-posthog-2026.md
Last updated: 2026-07-14

---
[PostHog](https://jobsbyculture.com/companies/posthog) is not a typical startup. Founded in 2020 by James Hawkins and Tim Glaser through Y Combinator's W20 batch, it has grown into the leading open-source product analytics platform — with 70,000+ GitHub stars, a product suite that spans analytics, session replay, feature flags, A/B testing, and a data warehouse. Following a $70M Series D led by Stripe in June 2025 and a $75M Series E in October 2025 that put it at a $1.4B post-money valuation, PostHog has built something rare: a company where the code is open, the handbook is public, the salaries are transparent, and the culture is deliberately, almost aggressively, different from the startup norm.

But radical transparency is a bet, not a guarantee. PostHog's approach attracts a specific type of person and repels another. We pulled data from PostHog's [company profile](https://jobsbyculture.com/companies/posthog), Glassdoor reviews (limited — only 6 as of writing), and the company's public handbook to give you an honest picture of what it's actually like to work there. The small review sample means we lean more heavily on the handbook and public signals than Glassdoor alone.

## PostHog at a Glance

Founded

2020 (YC W20)

Headquarters

None (fully remote, 30+ countries)

Founders

James Hawkins & Tim Glaser

Company Size

~200 employees

Funding

$70M Series D (Jun 2025) + $75M Series E (Oct 2025) at ~$1.4B

Glassdoor Rating

4.3 / 5.0 (6 reviews)

Work-Life Balance

4.5 / 5.0

Comp & Benefits

4.8 / 5.0

Recommend to Friend

75%

Culture Values

[Open-Source](https://jobsbyculture.com/values/open-source), [Transparent](https://jobsbyculture.com/values/transparent), [Async](https://jobsbyculture.com/values/async), [Remote](https://jobsbyculture.com/values/remote), [Flat](https://jobsbyculture.com/values/flat), [Many Hats](https://jobsbyculture.com/values/many-hats)

PostHog sits in a unique position among the [companies in our Culture Directory](https://jobsbyculture.com/companies). It's small enough to maintain a genuinely flat structure, transparent enough to publish its entire operating manual online, and technically ambitious enough to compete with well-funded incumbents like Amplitude and Mixpanel. The 4.3 Glassdoor rating looks strong, but the sample size of 6 reviews means you should treat it as directional, not definitive. The real signal comes from the public handbook and the culture PostHog has documented in granular detail.

## The Radical Transparency Experiment

Most companies talk about transparency. PostHog treats it as infrastructure. The [PostHog Handbook](https://posthog.com/handbook?ref=jobsbyculture.com) is publicly available and covers everything: how the company makes hiring decisions, what the compensation bands are, how teams are structured, what the strategy is, how performance reviews work. It's not a marketing document. It's the actual operating system of the company, published for anyone to read.

This follows a model pioneered by [GitLab](https://jobsbyculture.com/companies/gitlab), but PostHog pushes it further in some ways. Salaries aren't just calculated by a formula — the formula itself is public. The company's strategy documents are open. Even internal debates about product direction are visible through public GitHub issues and discussions. For prospective employees, this means you can evaluate PostHog's culture before you even apply. You don't need to decode vague mission statements or decipher corporate marketing. The information is right there.

Pro Extreme transparency — public handbook, open-source code, published salary bands. Reviewers describe an environment with little organizational politics.

The practical effect of this transparency is a culture with very little organizational politics. When everyone can see how decisions are made, there's less room for backroom dealing or information hoarding. Employees describe an environment where you spend your energy on the work rather than navigating internal dynamics. But transparency also means exposure. Your work, your PRs, your contributions — they're visible not just to colleagues but to the public. For some engineers, this is motivating. For others, particularly those earlier in their careers, it can feel like performing on a stage.

## Remote-First, Async by Design

PostHog has been [fully remote](https://jobsbyculture.com/values/remote) since its founding. With ~200 employees spread across 30+ countries, the company has built its entire operating model around asynchronous communication. But where PostHog distinguishes itself from other remote companies is in how deliberately it protects focus time.

Tuesdays and Thursdays are designated no-meeting days — what PostHog calls the "maker's schedule." On those days, engineers and product people have uninterrupted blocks to write code, think through problems, and ship features without context-switching. The remaining three days allow for synchronous collaboration, but even then, meetings are kept short and purposeful. PostHog doesn't track hours. The culture is entirely output-based: what you shipped matters, not when or where you shipped it.

30+

Countries with Employees

70k+

GitHub Stars

4.5

Work-Life Balance

This async-first approach is reflected in the Work-Life Balance score of 4.5/5 — one of the higher WLB ratings across all companies in our [work-life balance rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026). When you control your own schedule, don't have to commute, and have two guaranteed focus days per week, the day-to-day experience of work genuinely improves. Multiple PostHog team members describe being able to structure their days around exercise, family, and personal interests without guilt or performance concerns.

The trade-off is isolation. PostHog mitigates this with multiple offsites per year — the company brings the entire team together several times annually for in-person collaboration, team building, and the kind of spontaneous conversation that doesn't happen over Slack. But between offsites, the culture is heads-down and solo. If you thrive on daily social interaction with colleagues, PostHog's environment can feel lonely.

Con Culture heavily favors solo, heads-down work. Reviewers note lower priority on relationship-building between offsites.

## Engineering Culture: Submit PRs, Not Issues

PostHog's engineering philosophy is captured in a phrase that's become something of a company mantra: "Submit PRs, not issues." The idea is simple but culturally significant. Instead of filing a ticket describing a problem and waiting for someone else to fix it, the expectation is that you identify the problem and fix it yourself. This applies across the company, not just to engineers — but it's the engineering team where the principle is most visible.

Teams at PostHog are small, typically 2–6 people, and operate with extreme autonomy. Each team owns its product area end-to-end: design, development, testing, deployment, and user support. There's no product management layer dictating priorities. Engineers talk directly to users, read support tickets, and decide what to build based on actual usage data from their own analytics platform. This creates a tight feedback loop that larger companies struggle to replicate.

### Tech Stack

Python Django TypeScript React ClickHouse PostgreSQL Kafka Kubernetes

The backend is Python/Django with ClickHouse as the primary analytics database — a choice that reflects PostHog's need to handle billions of events at scale. The frontend is TypeScript/React. Infrastructure runs on Kubernetes with Kafka for event streaming. The entire codebase is [open-source](https://jobsbyculture.com/values/open-source) on GitHub, which means every engineer's code is publicly visible. This creates accountability but also a high degree of craftsmanship — when the world can see your commits, you tend to write better code.

Pro Small teams with real autonomy. Engineers own their area end-to-end — from user conversations through shipping — with few middlemen.

The open-source model also shapes how PostHog thinks about hiring. The company values engineers who can operate independently, make good judgment calls without extensive guidance, and communicate asynchronously through well-written PRs and documentation. If you're the type of engineer who needs detailed specs and close oversight, PostHog's environment will feel uncomfortable. If you're self-directed and opinionated about product, it's one of the best engineering environments in the industry.

## Glassdoor Ratings Breakdown

PostHog's overall Glassdoor rating of 4.3 out of 5.0 is strong — but context matters. With only 6 reviews as of early 2026, this score could shift significantly with a handful of new reviews. We include it for transparency but recommend weighing the public handbook and engineering culture signals more heavily than the Glassdoor numbers alone.

That said, the sub-category breakdown is telling:

Compensation & Benefits 4.8

Work-Life Balance 4.5

Overall Rating 4.3

The 4.8 Compensation & Benefits rating is the standout. PostHog publishes its compensation calculator publicly, benchmarks pay to San Francisco market rates with location adjustments, offers competitive equity, and runs quarterly compensation reviews. For a company of ~200 people, this level of compensation rigor is unusual. The 4.5 Work-Life Balance score aligns with the no-meeting days, output-only culture, and genuine schedule flexibility described above.

_Note: Because Glassdoor sub-scores like Culture & Values, Career Opportunities, and Senior Management are not reliably visible with only 6 reviews, we've only included the scores that are confirmed. We'll update this section as more reviews are posted._

## Compensation & Benefits

PostHog's approach to compensation deserves its own section because it's one of the company's genuine differentiators. The 4.8/5 Glassdoor rating for Comp & Benefits — even on limited data — is one of the highest across our entire [directory](https://jobsbyculture.com/companies).

4.8 / 5

Comp & Benefits Rating

75%

Recommend to Friend

~200

Employees Worldwide

PostHog's compensation philosophy is anchored in a few key principles. First, salary bands are public — published in the handbook for anyone to see. Second, the company benchmarks to San Francisco market rates and applies location-based adjustments, similar to [GitLab's](https://jobsbyculture.com/companies/gitlab) model. Third, quarterly compensation reviews mean your pay is regularly reassessed rather than waiting for an annual cycle. Fourth, equity is meaningful — at a $1.4B valuation (Series E, Oct 2025) with a clear path to growth, PostHog equity represents real potential upside.

Benefits include generous paid time off, equipment budgets for home office setup, co-working space stipends, and multiple team offsites per year. The company also offers a learning and development budget that employees can use for courses, conferences, and books. For a ~200-person company, the benefits package is comprehensive and competes with much larger organizations.

## Who Thrives at PostHog — and Who Doesn't

PostHog's culture is distinctive enough that fit matters more than at most companies. Based on the public handbook, employee reviews, and the operating model, here's who tends to do well:

-   **Self-starters who ship independently.** PostHog's "submit PRs, not issues" culture rewards people who see problems and fix them without waiting for permission. If you need detailed requirements and close management, you'll struggle. If you thrive with autonomy and ownership, this is the environment you've been looking for.
-   **Open-source contributors.** If the idea of your code being publicly visible excites rather than terrifies you, PostHog's [open-source](https://jobsbyculture.com/values/open-source) model creates a unique sense of purpose. You're building something used and inspected by thousands of developers worldwide.
-   **Strong async communicators.** Clear, concise written communication is essential. You need to articulate your thinking in PRs, handbook updates, and GitHub discussions. Verbal charisma matters far less than writing clarity.
-   **People who value output over process.** PostHog is allergic to bureaucracy. No timesheets, no mandatory meetings on focus days, no performance theater. If you want structure and process, look elsewhere. If you want to be judged purely on what you build, PostHog delivers.
-   **Engineers comfortable wearing [many hats](https://jobsbyculture.com/values/many-hats).** At ~200 people, roles are genuinely cross-functional. You might write backend code in the morning, hop on a user call in the afternoon, and update documentation before end of day. Specialization is a luxury PostHog can't always afford.

PostHog is _not_ ideal for people who need daily social interaction with colleagues, who prefer established career ladders with clear promotion timelines, or who want the stability and structure of a larger organization. The [flat structure](https://jobsbyculture.com/values/flat) means fewer management layers but also fewer rungs to climb. At ~200 people, there simply aren't many levels between an IC engineer and the founders. If career progression through titles matters to you, consider companies like [HubSpot](https://jobsbyculture.com/companies/hubspot) or [Databricks](https://jobsbyculture.com/companies/databricks) that offer more defined career frameworks.

## The Honest Trade-Offs

### What employees consistently praise

Pro Complete transparency — open salaries, public handbook, open-source product.

Pro Fully remote with genuine async-first culture and protected no-meeting days.

Pro Generous compensation with quarterly reviews benchmarked to SF market rates.

Pro Small teams with extreme autonomy and direct user ownership.

### What could be better

Con Limited career progression paths given the small team and flat structure.

Con Top-down decision-making can occasionally override team input despite the transparency ethos.

Con Culture favors solo, code-centered work — less suited to those who want daily mentorship or pair programming.

Con DEI is cited by reviewers as an area where the company still needs to invest.

The pattern is clear. PostHog's strengths — transparency, autonomy, compensation, flexibility — are genuine and well-documented. The weaknesses — isolation, limited growth paths, occasional top-down overrides — are the predictable trade-offs of a small, founder-led, remote-first company. None of these are dealbreakers for the right person, but they are real costs that you should weigh against the benefits.

## Open Positions at PostHog

PostHog currently has **19 open positions** listed on our platform, spanning engineering, product, and marketing roles. As a fully remote company, all positions are open to candidates worldwide. If the open-source, async-first, radically transparent culture described in this post resonates with you, PostHog is worth serious consideration — particularly if you're an experienced engineer who thrives with autonomy and wants your work to be publicly visible and impactful.

For full details on PostHog's culture values, employee reviews, and open roles, visit the [PostHog culture profile page](https://jobsbyculture.com/companies/posthog) or [browse all PostHog jobs](https://jobsbyculture.com/jobs?company=posthog).

## Frequently Asked Questions About Working at PostHog

Is PostHog fully remote?+

Yes. PostHog is fully [remote](https://jobsbyculture.com/values/remote) with ~200 employees spread across 30+ countries. The company has been remote-first since its founding in 2020 and has no central office. PostHog operates [async-first](https://jobsbyculture.com/values/async) with designated no-meeting days (Tuesdays and Thursdays) and does not track hours — the culture is entirely output-based.

How many employees does PostHog have in 2026?+

PostHog has approximately 200 employees as of 2026. The company was founded in 2020 by James Hawkins and Tim Glaser through Y Combinator (W20 batch). PostHog raised a $70M Series D led by Stripe in June 2025 at a ~$920M valuation, followed by a $75M Series E in October 2025 at a $1.4B post-money valuation. Despite growing rapidly, PostHog has maintained a small-team, high-autonomy culture.

What is PostHog's Glassdoor rating?+

PostHog has a 4.3 out of 5.0 overall Glassdoor rating, though this is based on only 6 reviews as of early 2026 — so the data is limited. Work-Life Balance is rated 4.5/5 and Compensation & Benefits an impressive 4.8/5. 75% of reviewers recommend working there. See our [full PostHog culture profile](https://jobsbyculture.com/companies/posthog) for the complete breakdown.

What is PostHog's product?+

PostHog is an [open-source](https://jobsbyculture.com/values/open-source) product analytics platform with 70,000+ GitHub stars. The product suite includes product analytics, session replay, feature flags, A/B testing, and a data warehouse — essentially an all-in-one alternative to tools like Amplitude, LaunchDarkly, and Hotjar. The open-source model means companies can self-host the entire platform.

What is PostHog's engineering culture like?+

PostHog's engineering culture is built around the principle of "submit PRs, not issues." Engineers are expected to identify and fix problems rather than filing tickets. Small teams of 2–6 people operate with extreme autonomy, owning their product area end-to-end. The entire codebase is open-source, so all code is publicly visible on GitHub. The tech stack includes Python, Django, TypeScript, React, ClickHouse, and Kafka.

How does PostHog handle compensation?+

PostHog publishes its compensation calculator in its [public handbook](https://posthog.com/handbook?ref=jobsbyculture.com), making all salary bands [transparent](https://jobsbyculture.com/values/transparent). Compensation is rated 4.8/5 on Glassdoor — one of the highest ratings in our directory. The company offers competitive equity, quarterly comp reviews, and generous benefits. Pay is benchmarked to San Francisco rates with location-based adjustments.

What are the downsides of working at PostHog?+

Common criticisms include limited career progression paths due to the small team size (~200 employees), a culture that heavily favors solo heads-down coding over relationship-building, top-down decision-making that can occasionally override team input, and growing pains typical of a young company founded in 2020. DEI efforts are also cited as an area needing improvement.

### Explore PostHog jobs with culture context

See PostHog's open roles alongside employee reviews, culture values, and side-by-side comparisons with other remote-first companies.

[Browse PostHog Jobs →](https://jobsbyculture.com/jobs?company=posthog) [View PostHog Profile →](https://jobsbyculture.com/companies/posthog)

---

## Document: Pylon in 2026: 70 Employees, $51M Raised, Salary & Culture

# Pylon in 2026: 70 Employees, $51M Raised, Salary & Culture

> Working at Pylon in 2026: 70 employees, $51M raised from a16z and YC, 4.3 Glassdoor rating, hardcore builder culture, and what the B2B support startup is really like inside.

Source: https://jobsbyculture.com/blog/working-at-pylon-2026
Markdown: https://jobsbyculture.com/blog/working-at-pylon-2026.md
Last updated: 2026-07-14

---
[Pylon](https://jobsbyculture.com/companies/pylon) is one of those companies that makes you pay attention. Founded in 2022 by three engineers who came out of Airbnb, Samsara, and Caltech, the company has built a B2B customer support platform that is quietly becoming the de facto replacement for Zendesk, Intercom, and Salesforce Service Cloud among fast-growing startups. Over 750 companies — including Together AI, Cognition, Temporal, and AssemblyAI — now run their support on Pylon.

With $51M in funding from Andreessen Horowitz, Bain Capital Ventures, General Catalyst, and Y Combinator, and 5x year-over-year revenue growth for two consecutive years, Pylon is at a stage where the product-market fit is undeniable. But with only ~70 employees, it’s still small enough that every hire reshapes the company. That makes the culture question especially high-stakes: who should join, and what are they walking into?

We pulled data from Pylon's [company profile](https://jobsbyculture.com/companies/pylon), employee reviews, and the founders’ own public statements to give you an honest picture. Here’s what you need to know.

## Pylon at a Glance

Founded

2022

Headquarters

San Francisco, CA

Founders

Marty Kausas, Advith Chelikani & Robert Eng

Company Size

~70 employees

Total Funding

$51M (Series B, Aug 2025)

Glassdoor Rating

4.3 / 5.0

Work-Life Balance

4.0 / 5.0

Recommend to Friend

100%

Key Investors

a16z, Bain Capital Ventures, General Catalyst, YC

Culture Values

[Ship Fast](https://jobsbyculture.com/values/ship-fast), [Many Hats](https://jobsbyculture.com/values/many-hats), [Product Impact](https://jobsbyculture.com/values/product-impact), [Flat Hierarchy](https://jobsbyculture.com/values/flat)

## The Founding Story

Pylon’s origin story starts at Caltech, where co-founders Advith Chelikani and Robert Eng met as students. The two later crossed paths with Marty Kausas during the Kleiner Perkins Fellowship — an engineering fellowship that has historically connected ambitious builders before they start companies. All three went on to work as software engineers at prominent tech companies: Marty at Airbnb, Advith at Samsara, and Robert at Affinity.

The insight that became Pylon came from a frustration they kept seeing across B2B companies: customer support conversations were fragmenting across Slack shared channels, Microsoft Teams, email, community forums, and in-app chat — and legacy tools like Zendesk were built for a consumer support model that didn’t fit. B2B support is fundamentally collaborative. The customer isn’t filing a ticket and waiting — they’re pinging a shared Slack channel and expecting a response in minutes.

They went through Y Combinator in winter 2023, raised a $17M Series A from Andreessen Horowitz in August 2024, and closed a $31M Series B co-led by a16z and Bain Capital Ventures in August 2025. In under three years, Pylon grew from a YC demo day pitch to the support platform behind 750+ of the fastest-growing companies in tech.

## What Makes Pylon’s Culture Different

Pylon’s CEO Marty Kausas made headlines in September 2025 when he posted “HARDCORE STARTUP CULTURE IS BACK” alongside a Wall Street Journal feature on Pylon’s work culture. It wasn’t an exaggeration. This is a company that is explicit about being intense, demanding, and built for people who want to work hard on something that’s working.

What makes Pylon’s intensity different from, say, the grind culture at a pre-PMF startup is that the intensity sits on top of genuinely strong product-market fit. The company has 5x revenue growth for two consecutive years, 150+ migrations from legacy platforms, and a customer list that reads like a who’s who of fast-growing AI and infrastructure companies. You’re not grinding because the business _might_ work — you’re sprinting because it _is_ working and the window to capture the market is right now.

The second defining characteristic is the founder-engineer identity. All three co-founders are engineers. All three still write code. This creates a culture where engineering isn’t a department — it’s the company. Decisions are made by the people building the product, not by layers of product management or strategy consultants. When employees describe working at Pylon, the recurring theme is [direct impact](https://jobsbyculture.com/values/product-impact): you build something, ship it, and see customers using it within days.

Pro YC + a16z backed with strong product-market fit — reviewers describe a clear sense that the product is winning.

At ~70 people, Pylon is at the stage where everyone knows everyone. The [flat hierarchy](https://jobsbyculture.com/values/flat) isn’t aspirational — it’s structural. There are no layers between an IC engineer and a founder. You Slack Marty directly. You push to production the same week you start. The [many-hats](https://jobsbyculture.com/values/many-hats) culture means you might be fixing a customer’s integration issue in the morning and shipping a new feature in the afternoon.

## Employee Sentiment

Pylon’s Glassdoor rating of 4.3 out of 5.0 with 100% of employees recommending the company is notable. The review sample is small — as you’d expect from a 70-person company barely three years old — but the signal is consistently positive. Work-Life Balance rates 4.0 out of 5.0, which is surprisingly strong given the explicit “hardcore” culture positioning.

Overall Rating 4.3

Work-Life Balance 4.0

Recommend to Friend 100%

That 4.0 WLB score deserves interpretation. It doesn’t mean Pylon is a 40-hour-week company — it almost certainly isn’t. What it likely reflects is that people who join Pylon are self-selected for intensity, and they calibrate “balance” differently. When you’re excited about the product, the pace feels energizing rather than draining. But that’s a selection effect, not a culture guarantee. If you’re coming from a more structured environment and expect clear boundaries, the 4.0 may overstate how balanced you’ll find it.

### What employees love

Pro Small team with outsized ownership — engineers directly shape the product and see results immediately.

Pro Technical founders who still write code — decisions happen fast with little engineering-vs-product politics.

Pro Clear product-market fit, with strong YoY growth and unprompted migrations from legacy support tools.

### What could be better

Con Very early-stage with minimal processes — some things that should be documented or standardized aren’t yet.

Con Fast pace and explicit “hardcore” positioning won’t suit everyone.

The cons are refreshingly predictable for a company at this stage: immature processes and high intensity. These are growing pains, not structural problems. The question is whether they bother you now — because by the time they’re fixed, Pylon will be a very different (and likely much larger) company, and the window for outsized individual impact will have closed.

## The Product & Why It Matters for Culture

Pylon’s product directly shapes the culture in a way that’s worth understanding. The platform unifies B2B customer support across every channel a modern company uses: shared Slack channels, Microsoft Teams, email, in-app chat, ticket forms, and community. It’s built as the modern alternative to legacy tools that were designed for consumer support, not the collaborative, channel-fragmented reality of B2B.

Why does this matter for culture? Because Pylon’s customers are exactly the kind of companies that everyone in tech wants to work at: fast-growing AI and infrastructure startups. Together AI, Cognition, Temporal, AssemblyAI — these are the companies building the next generation of developer tools and AI infrastructure. When you work at Pylon, you’re building the support platform these companies depend on, and your customers are often founders and engineers themselves.

That creates an unusually tight product-feedback loop. Customers don’t just submit tickets — they ping the Pylon team in shared Slack channels (using Pylon, naturally) and describe exactly what they need. Engineers can ship a feature and watch a named customer start using it the same week. That direct [product impact](https://jobsbyculture.com/values/product-impact) is one of the strongest parts of Pylon’s culture.

750+

Companies on Pylon

5x

YoY Revenue Growth

150+

Migrations from Legacy

## Engineering at Pylon

With all three founders being engineers, Pylon’s engineering culture is about as [engineering-driven](https://jobsbyculture.com/values/eng-driven) as it gets. There’s no separate product org making roadmap decisions while engineers execute. The founders are in the codebase daily, reviewing PRs and shipping features alongside the team. For engineers who want to build rather than attend meetings about building, this is a meaningful signal.

### How engineering works

-   **Ship weekly, not quarterly.** Pylon’s [shipping cadence](https://jobsbyculture.com/values/ship-fast) is genuinely fast. Features go from idea to production in days, not months. The small team size means there are no multi-week approval processes or cross-functional sign-offs. If the founders agree it’s worth building, you build it.
-   **Own the full surface.** At 70 employees, there are no specialists. You own a customer-facing surface end-to-end: the frontend, the backend, the integrations, the performance. This [many-hats](https://jobsbyculture.com/values/many-hats) approach means rapid skill development but requires comfort with ambiguity.
-   **Customer proximity.** Engineers interact with customers directly. The Slack-native nature of the product means the line between the team using Pylon and customers using Pylon is blurry — intentionally. You see exactly how your work lands.
-   **Founder code review.** PRs get reviewed by the founders. This is a genuine part of the culture, not a bottleneck. At this stage, the founders’ product intuition shapes the codebase in ways that documentation alone can’t replicate.

## Who Thrives at Pylon

Pylon is a 70-person Series B startup with a “hardcore” culture label attached. That’s not for everyone, and it’s not trying to be. Based on the culture signals, founder positioning, and employee feedback, here’s who fits:

-   **Early-career engineers who want career acceleration.** The scope of ownership at Pylon is extraordinary for the company size. You will learn more in a year at a 70-person company with strong PMF than in three years at a 5,000-person company. If you want the compressed career trajectory that early startup employees get, Pylon is one of the clearest bets in the market right now.
-   **Generalists who like to [ship fast](https://jobsbyculture.com/values/ship-fast).** If you hate the idea of only touching one part of the stack, Pylon is a great fit. Engineers here work across the full product surface. If you like going from a Slack integration bug in the morning to a new feature deploy in the afternoon, this is your place.
-   **People energized by winning.** Pylon has genuine product-market fit with 5x YoY growth and 150+ migrations from legacy platforms. If you want to join a company where the product is clearly winning and the mission is to capture the market while the window is open, the intensity feels purposeful rather than exhausting.
-   **B2B builders.** If you’re interested in enterprise SaaS, developer tools, or B2B infrastructure, Pylon’s customer base (Together AI, Cognition, Temporal) puts you in direct contact with the most interesting companies in the space. You learn about the B2B ecosystem by serving it daily.

Pylon is _not_ ideal for people who need structure, clear processes, and well-defined career ladders. It’s not for people who want remote-first flexibility — this is a San Francisco office-centric company. And it’s not for people who are looking for a balanced 40-hour week, despite the 4.0 WLB score. The pace is fast and the expectations are high. If you want a startup with more structure, consider [Linear](https://jobsbyculture.com/companies/linear) (4.4 WLB) or [PostHog](https://jobsbyculture.com/companies/posthog) (4.0 WLB, remote-first). If you want the intense startup energy but at a slightly later stage, [Decagon](https://jobsbyculture.com/companies/decagon) offers a comparable culture at larger scale.

## Open Positions at Pylon

Pylon currently has **35 open positions** on our platform across engineering, product, and go-to-market roles, primarily in San Francisco. For a 70-person company, that pace of hiring underscores the growth moment. If the culture and product described here resonate with you, now is an unusually good time to join.

For full details on Pylon’s open roles, culture values, and side-by-side comparisons, visit the [Pylon culture profile page](https://jobsbyculture.com/companies/pylon) or [browse all Pylon jobs](https://jobsbyculture.com/jobs?company=pylon).

## Frequently Asked Questions About Working at Pylon

How many employees does Pylon have in 2026?+

Pylon has approximately 70 employees as of 2026. The company has grown steadily since its founding in 2022 and Y Combinator batch (W23), expanding alongside $51M in total funding from a16z, Bain Capital Ventures, General Catalyst, and YC. With 35 open roles, the team could grow significantly in the coming months.

What is Pylon’s Glassdoor rating?+

Pylon has a 4.3 out of 5.0 Glassdoor rating with 100% of employees recommending the company to a friend. Work-Life Balance is rated 4.0/5. The review sample is small given the company’s size (~70 employees), but the sentiment is consistently positive. See our [full Pylon culture profile](https://jobsbyculture.com/companies/pylon) for the complete breakdown.

Who founded Pylon?+

Pylon was founded in 2022 by Marty Kausas (CEO), Advith Chelikani, and Robert Eng. Advith and Robert met at Caltech, and the three connected during the Kleiner Perkins Fellowship. Before Pylon, Marty was a software engineer at Airbnb, while Advith and Robert held engineering roles at Samsara and Affinity respectively. All three founders still write code daily.

How much funding has Pylon raised?+

Pylon has raised $51M in total funding. The company went through Y Combinator (W23), raised a $17M Series A led by a16z in August 2024, and closed a $31M Series B co-led by a16z and Bain Capital Ventures in August 2025, with continued participation from General Catalyst.

What does Pylon do?+

Pylon is a B2B customer support platform that unifies support across Slack shared channels, Microsoft Teams, email, in-app chat, and community channels. It’s positioned as the modern alternative to Zendesk, Intercom, and Salesforce Service Cloud for B2B companies. Over 750 companies use Pylon, including Together AI, Cognition, Temporal, and AssemblyAI, with 150+ having migrated from legacy platforms.

What is Pylon’s engineering culture like?+

Pylon’s engineering culture is defined by speed and ownership. All three co-founders are engineers who still write code and review PRs daily. Engineers own full product surfaces end-to-end and ship features weekly. The culture is explicitly intense — CEO Marty Kausas has publicly described it as “hardcore startup culture.” Work-Life Balance is rated 4.0/5, which likely reflects self-selection among employees who are energized by the pace rather than a relaxed work environment.

### Explore Pylon & similar startups

See Pylon’s 35 open roles alongside jobs from companies like Decagon, Linear, Granola, and more — all with culture context.

[View Pylon Profile →](https://jobsbyculture.com/companies/pylon) [Pylon Jobs →](https://jobsbyculture.com/jobs?company=pylon)

---

## Document: Working at Ramp in 2026: Culture, Compensation & What Employees Say

# Working at Ramp in 2026: Culture, Compensation & What Employees Say

> Working at Ramp in 2026: ~2,400 employees, 4.1 Glassdoor rating, $44B valuation, top-tier comp, and what employees say about the intense builder culture.

Source: https://jobsbyculture.com/blog/working-at-ramp-2026
Markdown: https://jobsbyculture.com/blog/working-at-ramp-2026.md
Last updated: 2026-07-14

---
[Ramp](https://jobsbyculture.com/companies/ramp) is the company that made corporate expense management exciting. Founded in 2019 by Eric Glyman, Karim Atiyeh, and Gene Lee, Ramp has grown from a simple corporate card into an AI-powered finance platform that handles expense management, bill pay, accounting automation, and procurement for over 70,000 businesses. Valued at roughly $44 billion after a $750M Series F closed in June 2026, Ramp has become one of the most talked-about fintech companies in the industry — and one of the most intense places to work.

But behind the hypergrowth and the headlines, what is it actually like to work there? We pulled data from Ramp's [company profile](https://jobsbyculture.com/companies/ramp), 174 Glassdoor reviews, and engineering discussions to give you an honest, detailed picture of Ramp as an employer in 2026. Whether you're evaluating an offer, preparing for an interview, or comparing Ramp against competitors like [Stripe](https://jobsbyculture.com/companies/stripe), [Brex](https://jobsbyculture.com/companies/brex), or [Mercury](https://jobsbyculture.com/companies/mercury), here's what you need to know.

## Ramp at a Glance

Founded

2019

Headquarters

New York City (offices in SF, Miami)

Founders

Eric Glyman, Karim Atiyeh & Gene Lee

Company Size

~2,400 employees

Valuation

~$44B (Series F, Jun 2026)

Glassdoor Rating

4.1 / 5.0 (174 reviews)

Work-Life Balance

3.4 / 5.0

CEO Approval

88% (Eric Glyman)

Recommend to Friend

77%

Culture Values

[Ship-Fast](https://jobsbyculture.com/values/ship-fast), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Equity](https://jobsbyculture.com/values/equity), [Transparent](https://jobsbyculture.com/values/transparent), [Learning](https://jobsbyculture.com/values/learning), Product-Impact

Ramp is a company that moves at a pace most fintech companies can only aspire to. In just seven years, it has gone from founding to a $44B valuation, competing head-to-head with established players like [Brex](https://jobsbyculture.com/companies/brex) and challenging legacy incumbents like Concur and Expensify. Among the [companies in our Culture Directory](https://jobsbyculture.com/companies), Ramp occupies a distinctive position: it's the rare company where [speed of execution](https://jobsbyculture.com/values/ship-fast) is genuinely part of the DNA, compensation is top-tier, and engineers directly shape the product — but that intensity comes with real trade-offs that you should understand before joining.

## What Makes Ramp's Culture Different

If you ask anyone who has worked at Ramp what defines the culture, the answer almost always comes down to one word: speed. Ramp is a company that ships fast and expects everyone to operate at a tempo that would feel uncomfortable at most other companies. Features that take months elsewhere get built in weeks. Product decisions that require committee approval at larger organizations get made by small teams with direct ownership. This isn't a tagline — it's the lived reality described by employee after employee.

This speed traces directly back to co-founders Eric Glyman, Karim Atiyeh, and Gene Lee, who built Ramp with an explicit philosophy that velocity is a competitive advantage. In a market where Ramp was a latecomer competing against Brex (founded 2017) and legacy players with decades of market presence, moving fast wasn't optional — it was existential. That urgency hasn't faded with scale. Even at ~2,400 employees, Ramp still operates with the intensity of a company fighting for survival.

The second defining characteristic is [engineering ownership](https://jobsbyculture.com/values/eng-driven). Ramp engineers don't just write code — they own the full lifecycle of what they build. Product and engineering are deeply integrated, with engineers expected to understand the business problems they're solving, not just the technical specifications. This creates a culture where [shipping](https://jobsbyculture.com/values/ship-fast) isn't just about velocity but about _impact_. Engineers see their work deployed to real customers and can trace the line from their code to revenue and customer outcomes.

The third pillar is ambition. Ramp's leadership sets aggressive goals and expects the team to meet them. This attracts a particular type of person — competitive, driven, and comfortable with high expectations. Multiple reviewers describe the talent density as exceptional, with software engineers rating their experience 4.7 out of 5 — one of the highest engineer satisfaction scores in tech. You're surrounded by people who are genuinely excellent at what they do, and that raises everyone's game.

But there's a clear trade-off. The speed and ambition come at a cost. Work-life balance is rated just 3.4 out of 5, and multiple reviews mention 60+ hour weeks and 10–12 hour days as normal. Ramp is not a place where you coast. If you want a sustainable 40-hour week with clear boundaries, this probably isn't your company. If you want to build something meaningful at a pace that makes your career accelerate, it might be exactly right.

Pro Builder-oriented engineering culture with ambitious leadership and a high talent bar.

## Glassdoor Ratings Breakdown

Ramp's overall Glassdoor rating of 4.1 out of 5.0, based on 174 employee reviews, places it above the median for fintech companies in our [directory](https://jobsbyculture.com/companies). It's a tick above [Stripe](https://jobsbyculture.com/companies/stripe) (4.0) and on par with several well-regarded tech companies. But the sub-category breakdown tells a more nuanced story — one of exceptional compensation offset by demanding work expectations.

Here's how each sub-category breaks down:

Compensation & Benefits 4.5

Overall Rating 4.1

Culture & Values 4.0

Career Opportunities 3.8

Senior Management 3.6

Work-Life Balance 3.4

The pattern is revealing. Compensation is the clear standout at 4.5 — Ramp pays among the best in fintech and backs it up with exceptional benefits. Culture & Values at 4.0 reflects a strong but polarizing environment: people who fit the culture love it intensely, while those who don't find it exhausting. The weaker scores in Senior Management (3.6) and Work-Life Balance (3.4) point to the areas where Ramp's intensity creates the most friction. The 3.4 WLB score is one of the lower ratings in our directory — similar to the most demanding companies in our database. For comparison, [Stripe](https://jobsbyculture.com/companies/stripe) scores 3.6 and [Brex](https://jobsbyculture.com/companies/brex) scores higher on WLB.

## What Employees Actually Say

We analyzed recurring themes across Ramp's 174 Glassdoor reviews. The signal is clear on both sides — this is a company that inspires strong opinions.

### What employees love

Pro Exceptional talent density — software engineers rate 4.7/5, among the highest sub-scores in tech.

Pro Outstanding compensation and benefits — 16 weeks maternity, IVF coverage, free lunch.

Pro Product-driven culture where engineers ship features that impact real businesses quickly.

Pro Builder-oriented engineering culture with ambitious, technically-credible leadership.

The theme is unmistakable: Ramp attracts top-tier talent, compensates them generously, and gives them real problems to solve with real impact. The engineer satisfaction score of 4.7/5 is extraordinarily high — among the very best in tech. Multiple reviewers describe the people as the single best thing about working at Ramp. When every person around you is operating at a high level, the quality of your own work goes up, and the intellectual stimulation is constant.

### What could be better

Con Reviewers describe intense work demands — 60+ hour weeks and 10–12 hour days as the norm.

Con Work-life balance rated 3.4/5 — an always-available, always-shipping expectation is common in reviews.

Con Some reviewers describe the culture as competitive and ego-driven rather than collaborative.

Con Shift toward 3+ days in-office means less flexibility than many other tech companies offer.

The cons paint a clear picture: Ramp is demanding. The 60+ hour weeks are not occasional crunch periods — they're baked into the culture. Several reviews mention that the competitive atmosphere can tip into ego, making it feel less warm than companies like [Notion](https://jobsbyculture.com/companies/notion) or [Linear](https://jobsbyculture.com/companies/linear). The push toward in-office work (3+ days per week in NYC, SF, or Miami) further limits flexibility. If you thrive on intensity and competition, these cons might not bother you. If you value warmth, flexibility, and sustainable pace, they should give you pause.

## Compensation & Benefits

Ramp pays well — and the data makes it unambiguous. The 4.5 Glassdoor rating for Compensation & Benefits is the highest sub-score in Ramp's profile and one of the strongest across our [entire directory](https://jobsbyculture.com/companies). In a fintech landscape where companies like [Stripe](https://jobsbyculture.com/companies/stripe) and [Brex](https://jobsbyculture.com/companies/brex) compete aggressively for engineering talent, Ramp consistently matches or exceeds the market.

4.5 / 5

Comp & Benefits Rating

88%

CEO Approval

77%

Recommend to Friend

Total compensation for engineers at Ramp includes competitive base salary, meaningful [equity](https://jobsbyculture.com/values/equity) in a $44B company, and a benefits package that stands out even in the crowded fintech space. The equity component is particularly interesting given Ramp's trajectory — the company has grown its valuation rapidly (from $32B to $44B in seven months), and for employees who joined at earlier valuations, the upside has been significant. For new joiners, the $44B valuation means you're getting into a company with a clear path to either IPO or continued private growth, with equity that has real potential value.

Benefits go beyond standard tech offerings: 16 weeks of maternity leave, IVF coverage, free daily lunch, and comprehensive healthcare. These aren't just line items on a careers page — employees consistently call them out as genuinely impactful. The parental leave and fertility benefits, in particular, set Ramp apart from many competitors who offer less generous packages.

For a side-by-side view, use our [comparison tool](https://jobsbyculture.com/compare) to see how Ramp stacks up against [Stripe](https://jobsbyculture.com/companies/stripe), [Brex](https://jobsbyculture.com/companies/brex), or [Mercury](https://jobsbyculture.com/companies/mercury) on compensation, culture, and work-life balance.

## Engineering Culture & Tech Stack

Ramp's engineering culture is what happens when you optimize for speed without sacrificing quality. The engineering team is relatively lean for a $44B company, which means engineers have outsized ownership and impact. There are no large platform teams creating abstractions you never touch — you build features, deploy them, and see the results. This direct line between code and customer impact is what draws many engineers to Ramp over larger, more established fintech companies.

### Tech Stack

TypeScript Python Go Elixir

Ramp's stack reflects its engineering philosophy: modern, pragmatic, and optimized for developer velocity. TypeScript powers the frontend and much of the backend API layer, Python handles data pipelines and AI/ML workloads, Go is used for performance-critical services, and Elixir brings concurrency and fault-tolerance to real-time systems. It's a stack that says "we pick the right tool for the job" rather than standardizing on a single language for organizational convenience.

### How engineering works at Ramp

-   **Small teams, big ownership.** Engineering teams at Ramp are deliberately kept small. A team of 3–5 engineers might own an entire product vertical — from the API layer through the UI to the billing logic. This creates a [ship-fast](https://jobsbyculture.com/values/ship-fast) culture where decisions happen quickly because the decision-makers are the same people writing the code.
-   **AI-native product development.** Ramp has invested heavily in AI across its product suite — automated receipt matching, intelligent categorization, anomaly detection for expenses, and AI-powered accounting automation. Engineers work on real ML problems that directly impact customer workflows, not R&D projects that sit on a shelf.
-   **Speed as a value.** Code review is fast. Deploy cycles are short. There's an explicit expectation that features move from concept to production in days or weeks, not months. This is exhilarating for engineers who thrive on momentum, but it can feel relentless for those who prefer more deliberate pacing.
-   **Builder identity.** Ramp self-selects for engineers who identify as builders. The culture celebrates shipping, not just technical elegance. Design docs exist but they're lean. The bias is toward building and iterating rather than perfecting specifications upfront.

The engineering blog and public discourse around Ramp's technical work reveal a team that takes genuine pride in their craft while maintaining velocity. If you're the kind of engineer who gets restless when things move slowly and wants to see your work impact real businesses quickly, Ramp's engineering culture will feel like home.

## Who Thrives at Ramp

Ramp is not for everyone, and the company is remarkably transparent about that. Based on the culture signals, employee reviews, and the pattern of who stays and who leaves, here's who tends to do well:

-   **Builders who ship.** If you measure your satisfaction by what you've deployed, not what you've planned, Ramp is your kind of place. The culture celebrates output and [velocity](https://jobsbyculture.com/values/ship-fast). Engineers who want to see their code in production quickly and iterate based on real user feedback will thrive.
-   **Competitive high-performers.** Ramp attracts people who want to work alongside the best and who are energized — not intimidated — by talented colleagues. The 4.7/5 engineer satisfaction score reflects a team that pushes each other to higher standards. If you want to be the smartest person in the room, look elsewhere. If you want the room to make you smarter, Ramp delivers.
-   **People who want outsized impact.** At ~2,400 employees with a $44B valuation, Ramp is at a sweet spot where you have meaningful resources but haven't yet hit the bureaucratic overhead of a 10,000-person company. Individual contributors can still influence product direction, and the [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture means technical decisions are made by engineers, not project managers.
-   **Fintech enthusiasts.** If you find financial infrastructure genuinely interesting — the complexity of payment networks, the challenges of real-time expense categorization, the opportunity to automate tedious accounting workflows — Ramp's problem space is rich and impactful. You're saving real businesses real money.
-   **People comfortable with intensity.** The 3.4 WLB score is not a bug in Ramp's culture — it's a feature. The company explicitly optimizes for speed and output. If you're in a phase of your career where you want to learn fast, build fast, and grow fast, the intensity is a feature. If you're looking for sustainability and clear boundaries, it's a dealbreaker.

Ramp is _not_ ideal for people who want a relaxed, collaborative environment with gentle pace and strong work-life boundaries. It's also not great for those who prefer deep specialization over breadth — the builder culture expects you to wear multiple hats and move across the stack. If WLB is your top priority, consider companies like [Notion](https://jobsbyculture.com/companies/notion), [Linear](https://jobsbyculture.com/companies/linear), or [HubSpot](https://jobsbyculture.com/companies/hubspot) instead. If you want the same fintech space with potentially more balance, look at [Mercury](https://jobsbyculture.com/companies/mercury) or [Brex](https://jobsbyculture.com/companies/brex).

## Open Positions at Ramp

Ramp is actively hiring across engineering, product, design, and go-to-market roles in their New York City, San Francisco, and Miami offices. If the builder culture and technical challenges described in this post resonate with you, Ramp is a company worth serious consideration — especially if you're in the early-to-mid stages of your career where the intensity can compound into accelerated growth.

For full details on Ramp's open roles, culture values, and side-by-side comparisons with other companies, visit the [Ramp culture profile page](https://jobsbyculture.com/companies/ramp) or [browse all Ramp jobs](https://jobsbyculture.com/jobs?company=ramp).

## Frequently Asked Questions About Working at Ramp

How many employees does Ramp have in 2026?+

Ramp has approximately 2,400 employees as of May 2026 (per Unify headcount data). Founded in 2019 by Eric Glyman, Karim Atiyeh, and Gene Lee, the company has scaled rapidly from a small fintech startup to one of the fastest-growing corporate card and expense management companies in the U.S. Ramp has offices in New York City, San Francisco, and Miami, and continues to hire aggressively across engineering, product, and go-to-market roles.

What is Ramp's Glassdoor rating?+

Ramp has a 4.1 out of 5.0 overall Glassdoor rating based on 174 reviews. Compensation & Benefits leads at 4.5/5, Culture & Values sits at 4.0/5, Career Opportunities at 3.8/5, Senior Management at 3.6/5, and Work-Life Balance at 3.4/5. 77% of employees recommend working there, and CEO Eric Glyman has an 88% approval rating. See our [full Ramp culture profile](https://jobsbyculture.com/companies/ramp) for the complete breakdown.

What is Ramp's engineering culture like?+

Ramp has a builder-oriented engineering culture obsessed with speed. Engineers work in TypeScript, Python, Go, and Elixir, building AI-powered finance tools. Software engineers rate their experience 4.7/5 — one of the highest in tech. Small teams own entire product verticals, and the bias is toward [shipping fast](https://jobsbyculture.com/values/ship-fast) and iterating rather than perfecting specifications. Engineers have direct impact on products used by thousands of businesses.

Does Ramp allow remote work?+

Ramp is shifting toward in-office work, requiring 3+ days per week in one of their offices in New York City, San Francisco, or Miami. While some roles may have flexibility, Ramp is not a remote-first company and emphasizes in-person collaboration as part of their fast-paced, builder-oriented culture. If remote work is a priority, consider companies in our [remote-friendly directory](https://jobsbyculture.com/values/remote).

What is Ramp's compensation like?+

Ramp's compensation is rated 4.5 out of 5.0 on Glassdoor — one of the highest comp ratings in fintech. Benefits include 16 weeks maternity leave, IVF coverage, and free daily lunch. Total compensation packages include competitive base salary and meaningful [equity](https://jobsbyculture.com/values/equity) in a $44B company. Ramp consistently matches or exceeds market rates for engineering talent, competing with [Stripe](https://jobsbyculture.com/companies/stripe) and top-tier tech companies.

Who is Ramp's CEO?+

Ramp's CEO is Eric Glyman, who co-founded the company in 2019 alongside CTO Karim Atiyeh and Gene Lee. Glyman has an 88% approval rating on Glassdoor — well above average for tech CEOs. He is known for his ambitious vision and hands-on leadership style, driving Ramp's rapid growth from a small startup to a $44B company in seven years. Employees describe his leadership as ambitious and technically informed.

Is Ramp a good place to work?+

Ramp is an excellent place for ambitious builders who thrive in high-intensity environments. The exceptional talent (engineers rate 4.7/5), outstanding compensation (4.5/5), and real product impact make it deeply rewarding. However, the pace is demanding — 60+ hour weeks are common, WLB is rated 3.4/5, and the culture can feel competitive. It's ideal for people who want to [ship fast](https://jobsbyculture.com/values/ship-fast) and grow quickly, but not for those prioritizing work-life balance. See our [Ramp culture profile](https://jobsbyculture.com/companies/ramp) for the full picture.

### Explore Ramp jobs with culture context

See Ramp's open roles alongside jobs from companies like Stripe, Brex, Mercury, and more — all with culture data and employee reviews.

[View Ramp Profile →](https://jobsbyculture.com/companies/ramp) [Browse Ramp Jobs →](https://jobsbyculture.com/jobs?company=ramp)

---

## Document: Working at Reddit in 2026: Culture, Compensation & the Public Company Transition

# Working at Reddit in 2026: Culture, Compensation & the Public Company Transition

> Working at Reddit in 2026: 2,555 employees, NYSE: RDDT, $2.2B revenue, 3.8 Glassdoor rating, and what the

Source: https://jobsbyculture.com/blog/working-at-reddit-2026
Markdown: https://jobsbyculture.com/blog/working-at-reddit-2026.md
Last updated: 2026-07-14

---
[Reddit](https://jobsbyculture.com/companies/reddit) is one of the most culturally significant platforms on the internet. Founded in 2005 by Steve Huffman (u/spez) and Alexis Ohanian, it has grown from a simple link aggregator into a sprawling network of communities that shapes public discourse, breaks news, and drives culture. With over one billion monthly active users across hundreds of thousands of subreddits, Reddit is where the internet goes to talk to itself.

But 2024 changed everything. Reddit went public on the NYSE (ticker: RDDT) in March 2024, and the company has been on a tear ever since — posting $2.2 billion in revenue for 2025, its first profitable year, with $530 million in net income. Q1 2026 came in at $663 million in revenue, up 69% year-over-year. The stock has rewarded believers handsomely. The question for prospective employees is different from the question for investors, though: what is it actually like to work there? And has the transition from scrappy internet company to public enterprise changed the culture for better or worse?

## Reddit at a Glance

Founded

2005

Headquarters

San Francisco, CA (303 2nd St)

Founders

Steve Huffman (u/spez) & Alexis Ohanian

Company Size

~2,555 employees

Revenue (2025)

$2.2B (first profitable year)

Stock

NYSE: RDDT (IPO Mar 2024)

Global Offices

13 locations

Glassdoor Rating

3.8 / 5.0 (431 reviews)

Recommend to Friend

54%

Positive Outlook

62%

Open Roles

[135 on JobsByCulture](https://jobsbyculture.com/jobs?company=reddit)

Reddit sits in a fascinating position among the companies in our [Culture Directory](https://jobsbyculture.com/companies). It is one of the few truly iconic consumer internet platforms that is also a public company small enough (2,555 employees) to retain some of its original cultural identity. But the 3.8 Glassdoor rating and 54% recommend rate tell a more complicated story than the revenue charts suggest. This is a company in transition, and the employee experience depends heavily on which team you join and how much you can tolerate organizational growing pains.

## Reddit's "Default Open" Culture

Reddit's internal culture philosophy is built around the idea of "Default Open" — the same principle that makes the platform itself work. Information should flow freely. Decisions should be visible. The reasoning behind choices should be accessible to anyone who cares enough to look. In practice, this manifests in several concrete ways.

The company runs weekly all-hands meetings where leadership shares business updates, metrics, and strategic direction with the entire company. These are not sanitized, PR-friendly presentations — employees describe them as genuinely informative, with real numbers and real candor about challenges. Internal subreddits function as Q&A channels where any employee can ask leadership direct questions and get answers in a threaded, upvoteable format. It is, quite literally, Reddit running on Reddit.

This transparency is one of the things employees consistently praise. In a tech landscape where many companies say they value openness but practice it selectively, Reddit's Default Open philosophy has teeth. You can see what other teams are working on, understand why product decisions were made, and follow the logic chain from strategy to execution. For people coming from larger companies with siloed information and political gatekeeping, this feels refreshing.

Common Theme in Reviews Reviewers describe Reddit's transparency as real rather than performative — weekly all-hands with metrics, internal subreddits for leadership Q&A, and visibility into where the company stands.

The flip side is that Default Open can feel chaotic during periods of rapid change. When the company is executing a major strategic pivot — like the AI data licensing deals that now represent a meaningful revenue stream — the firehose of information can be overwhelming. And transparency about problems without clear solutions can create anxiety rather than confidence. Several reviews note that knowing _everything_ that is going wrong is not always better than knowing nothing.

## Glassdoor Ratings Breakdown

Reddit's overall 3.8 Glassdoor rating, based on 431 employee reviews, places it in the middle-to-lower tier among the companies in our [directory](https://jobsbyculture.com/companies). The sub-scores reveal a company with genuine strengths in compensation but real weaknesses in management and career development — a pattern common in companies that have grown fast and gone public without fully maturing their organizational infrastructure.

Compensation & Benefits 4.1

Overall Rating 3.8

Work-Life Balance 3.5

Culture & Values 3.4

Career Opportunities 3.3

Senior Management 3.2

The 4.1 Compensation & Benefits score is the clear standout and reflects Reddit's competitive pay, especially now that RSUs are publicly traded and liquid. The drop-off from there is notable: Culture & Values at 3.4, Career Opportunities at 3.3, and Senior Management at 3.2 all point to an organization that pays well but has not yet figured out the softer dimensions of being a great employer. The 54% recommend rate is strikingly low for a company with this much cultural cachet — by comparison, [Stripe](https://jobsbyculture.com/companies/stripe) sits at 80% and [Anthropic](https://jobsbyculture.com/companies/anthropic) at 93%.

The 62% positive outlook is more encouraging. It suggests that employees believe the trajectory is upward, even if the present experience is imperfect. This is consistent with a company that just posted its first profitable year and is visibly investing in growth.

## Engineering at Reddit: Scale, Stack, and Challenges

Reddit's engineering challenges are genuinely interesting. The platform serves over one billion monthly active users, processes millions of posts and comments daily in real time, and runs a recommendation system that has to understand the nuances of hundreds of thousands of distinct communities — each with its own culture, norms, and content patterns. The content moderation problem alone is one of the hardest in the industry.

### Tech Stack

Python Go TypeScript React GraphQL Kubernetes

Reddit's backend has evolved significantly over the years. The platform was originally built in Python (famously one of the earliest large-scale Python web applications), and Python remains central to the stack. Go is used extensively for performance-critical services, particularly in the real-time feed and notification systems. The frontend moved to React with a GraphQL API layer, and the infrastructure runs on Kubernetes. For engineers who want to work across the full stack at internet scale, the technical surface area is broad and deep.

### What makes Reddit engineering interesting

-   **Genuine internet-scale.** Over one billion monthly active users is not a vanity metric — it means every performance optimization, every architectural decision, and every content moderation algorithm operates at a scale that very few companies in the world can match.
-   **AI and ML investment.** Reddit has been investing heavily in machine learning for feed ranking, content recommendations, and safety. The company's AI data licensing deals (most notably with Google) have also created new technical challenges around data infrastructure and API design.
-   **Community-driven product.** Unlike most tech platforms where the product team dictates the roadmap, Reddit's product decisions are deeply influenced by community feedback. Engineers work on features that are immediately visible to millions of passionate users — the feedback loop is direct and unfiltered.
-   **Modernization work.** Reddit is still in the process of modernizing legacy systems. For engineers who enjoy migration projects and building new infrastructure alongside existing systems, there is significant greenfield opportunity within an established platform.

Common Theme in Reviews Reviewers consistently call out the engineering problems and scale — recommendation systems for a billion users across hundreds of thousands of communities are rare to find elsewhere.

## Compensation & Equity: The Public Company Advantage

One of the clearest advantages of working at Reddit in 2026 is compensation. The 4.1 Glassdoor rating for Compensation & Benefits is the strongest sub-score in Reddit's profile, and the IPO changed the compensation calculus significantly. RSUs are now publicly traded, liquid, and have performed well since the March 2024 listing.

$2.2B

2025 Revenue

$530M

Net Income (First Profit)

+69%

Q1 2026 Revenue Growth

For engineers and product managers, total compensation at Reddit is competitive with mid-to-upper tier tech companies. The RSU component is particularly meaningful now: unlike pre-IPO equity at startups (which may or may not ever become liquid), Reddit RSUs vest on a regular schedule and can be sold on the open market. For employees who joined before or shortly after the IPO, the stock appreciation has been a significant wealth-creation event.

Benefits are solid if not exceptional: healthcare, 401(k) matching, parental leave, and professional development stipends. Reddit does not have the lavish perks of some Big Tech companies, but the overall compensation package — particularly when factoring in RSU performance — is strong. The company operates across 13 global offices, with compensation adjusted by location.

## The Management Question

The 3.2 Senior Management rating is the lowest sub-score in Reddit's Glassdoor profile, and it deserves honest examination. This is the area where Reddit's employee experience diverges most sharply from companies with higher overall ratings.

The recurring themes in reviews point to several specific issues. First, strategic direction has shifted frequently during the public company transition. The API pricing changes in 2023, the push into AI data licensing, and the ongoing tension between community health and advertiser revenue have created whiplash for teams that had to pivot quickly. Second, middle management quality is inconsistent. Some teams are led by strong, experienced managers who provide clear direction and career support. Others are led by managers who were promoted based on individual contributor performance rather than leadership ability — a common pattern at companies that grew rapidly.

Common Theme in Reviews Reviewers note that strategic direction changes frequently — projects can be deprioritized or restructured after months, making it hard to build momentum.

Third, the relationship between Reddit's leadership and its own community has been contentious at times. The 2023 API pricing controversy, the subreddit blackouts, and Steve Huffman's public responses created internal tension. Employees who are also passionate Reddit users found themselves caught between their employer and their community. This is a uniquely Reddit problem — most companies don't have millions of users who can organize protests on the company's own platform.

The 62% positive outlook suggests that employees see improvement on the horizon. The financial success of the IPO and the company's first profitable year have provided stability and resources that were previously lacking. But the management challenges are real, and candidates should go in with realistic expectations about organizational maturity.

## Who Thrives at Reddit (and Who Doesn't)

Reddit is a workplace of contrasts. The product is iconic, the technical challenges are real, the compensation is competitive, and the transparency is genuine. But the organizational growing pains are also real. Based on employee reviews and the culture signals, here's who tends to do well:

-   **Mission-driven builders.** If you genuinely care about online communities, free expression, and building products that shape how millions of people connect and share information, Reddit offers a sense of purpose that few companies can match. The product is culturally significant in a way that most enterprise SaaS tools simply are not.
-   **Engineers who want scale without Big Tech bureaucracy.** At 2,555 employees, Reddit is large enough to offer internet-scale technical challenges but small enough that individual engineers can have real influence on the product. You are not a cog in a machine — your code ships to a billion users, and you can see the impact.
-   **People comfortable with ambiguity.** Reddit is still figuring out what it wants to be as a public company. The strategic direction is evolving. If you thrive in environments where the roadmap is not perfectly defined and you have latitude to shape outcomes, you will find opportunity here.
-   **Compensation-motivated candidates.** The RSU component, the public stock, and the strong revenue trajectory make Reddit an attractive financial proposition. If liquid equity and competitive total comp are important to you, Reddit delivers.

Reddit is _not_ ideal for people who need highly structured career ladders, consistent management quality, or a polished organizational culture. The 3.3 Career Opportunities and 3.2 Senior Management scores reflect real gaps. If you are coming from a company like [Stripe](https://jobsbyculture.com/companies/stripe) or [Databricks](https://jobsbyculture.com/companies/databricks) where the engineering organization is mature and well-run, the contrast may be jarring. If [work-life balance](https://jobsbyculture.com/values/wlb) is your top priority, the 3.5 WLB score suggests you should look at companies like [Notion](https://jobsbyculture.com/companies/notion), [Linear](https://jobsbyculture.com/companies/linear), or [HubSpot](https://jobsbyculture.com/companies/hubspot) instead.

## Pros & Cons

### What employees love

Common Pro Compensation is strong, especially with RSUs now liquid post-IPO and the stock's positive trajectory.

Common Pro Default Open culture — weekly all-hands, internal subreddits, and transparent metrics.

Common Pro Working on a product used by over a billion people, with engineering challenges that match the scale.

### What could be better

Common Con Senior management and strategic direction feel inconsistent — priorities can shift and decisions can feel reactive.

Common Con Career growth paths are unclear — promotion criteria and timelines aren't well-defined, especially for mid-level ICs.

Common Con Tension between community health and revenue growth creates difficult trade-offs for employees who are also Redditors.

## Open Positions at Reddit

Reddit currently has **192 open positions** listed on our platform, spanning engineering, product, data science, and operations roles across San Francisco and other global offices. The company is actively hiring as it invests in AI capabilities, advertising infrastructure, and international growth following its strongest financial year to date.

For full details on Reddit's open roles, culture values, and side-by-side comparisons with other companies, visit the [Reddit culture profile page](https://jobsbyculture.com/companies/reddit).

## Frequently Asked Questions About Working at Reddit

How many employees does Reddit have in 2026?+

Reddit has approximately 2,555 employees as of December 2025, spread across 13 global offices with headquarters in San Francisco (303 2nd St). The company went public on the NYSE (ticker: RDDT) in March 2024 and has been growing headcount steadily, with 192 open roles currently listed. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Reddit's Glassdoor rating in 2026?+

Reddit has a 3.8 out of 5.0 overall Glassdoor rating based on 431 employee reviews. Compensation & Benefits is rated 4.1/5, Work-Life Balance 3.5/5, Culture & Values 3.4/5, Career Opportunities 3.3/5, and Senior Management 3.2/5. Only 54% of employees recommend working there, though 62% have a positive business outlook. See our [full Reddit culture profile](https://jobsbyculture.com/companies/reddit) for the complete breakdown.

What is Reddit's revenue and profitability?+

Reddit generated $2.2 billion in revenue in 2025, marking its first profitable year with $530 million in net income. Q1 2026 came in at $663 million in revenue, up 69% year-over-year. Revenue is driven by advertising and AI data licensing deals (most notably with Google). The company's financial trajectory has been strong since its March 2024 IPO.

What is Reddit's tech stack?+

Reddit's tech stack includes Python (the original backend language), Go (for performance-critical services), TypeScript and React (frontend), GraphQL (API layer), and Kubernetes (infrastructure). The platform serves over 1 billion monthly active users and involves significant ML/AI work for feed ranking, content recommendations, and content moderation at scale.

Is Reddit a good place to work in 2026?+

Reddit is a strong choice for engineers who want to work at internet-scale on a culturally significant product with competitive compensation (4.1/5). The "Default Open" culture creates genuine transparency. However, the 54% recommend rate, 3.2/5 senior management score, and 3.3/5 career opportunities score indicate organizational growing pains during the public company transition. Your experience will depend heavily on your team and manager.

How many open jobs does Reddit have on JobsByCulture?+

Reddit currently has [192 open positions](https://jobsbyculture.com/jobs?company=reddit) listed on JobsByCulture, spanning engineering, product, data science, and operations roles. The company is actively hiring as it invests in AI features, advertising infrastructure, and international expansion following its strongest financial year. Visit our [Reddit culture profile](https://jobsbyculture.com/companies/reddit) for the full details.

### Explore Reddit's 192 open roles

See Reddit's open positions alongside jobs from Anthropic, Stripe, Databricks, and more — all with culture context and honest reviews.

[View Reddit Jobs →](https://jobsbyculture.com/jobs?company=reddit) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Replit in 2026: Culture, Compensation & What Employees Say

# Working at Replit in 2026: Culture, Compensation & What Employees Say

> Working at Replit in 2026: ~200 employees, 4.0 Glassdoor rating, AI code editor mission, and what employees actually say about the ship-fast culture.

Source: https://jobsbyculture.com/blog/working-at-replit-2026
Markdown: https://jobsbyculture.com/blog/working-at-replit-2026.md
Last updated: 2026-07-14

---
[Replit](https://jobsbyculture.com/companies/replit) is one of the most ambitious companies in developer tools. Founded in 2016 by Amjad Masad, Haya Odeh, and Faris Masad, it started as a browser-based IDE and has evolved into something far more expansive: a platform where anyone can build, deploy, and host software without ever leaving the browser. With Ghostwriter and Replit Agent — its AI-powered coding assistants — Replit is betting that the future of software development belongs not just to professional engineers, but to the next billion people who have never written a line of code.

Valued at approximately $9 billion after a $400M Series D led by Georgian Partners in March 2026 (up from a $3B valuation just six months earlier), Replit serves over 30 million developers worldwide with a team of just ~200 people. That ratio — 30 million users per 200 employees — tells you almost everything you need to know about the company's DNA. This is a lean, high-leverage operation where individual contributors have outsized [product impact](https://jobsbyculture.com/values/product-impact) and the pace is relentless. But what is it actually like to work there day-to-day? We pulled data from Replit's [company profile](https://jobsbyculture.com/companies/replit), Glassdoor reviews, and public engineering content to give you an honest picture of Replit as an employer in 2026.

## Replit at a Glance

Founded

2016

Headquarters

Foster City, CA (remote-friendly)

Founders

Amjad Masad, Haya Odeh & Faris Masad

Company Size

~200 employees

Valuation

~$9B (Series D, Mar 2026)

Glassdoor Rating

4.0 / 5.0 (15 reviews)

Work-Life Balance

3.9 / 5.0

CEO Approval

~80% (Amjad Masad)

Recommend to Friend

80%

Culture Values

[Ship-Fast](https://jobsbyculture.com/values/ship-fast), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Product Impact](https://jobsbyculture.com/values/product-impact), Many-Hats, Social-Impact

Replit occupies a fascinating niche among the [companies in our Culture Directory](https://jobsbyculture.com/companies). At ~200 people with a unicorn valuation, it is a company where the startup energy is still fully alive. Everyone wears [multiple hats](https://jobsbyculture.com/values/ship-fast), decisions happen fast, and the distance between writing code and seeing it impact millions of users is measured in days, not quarters. For engineers who crave that direct feedback loop, it is hard to find a better ratio of team size to user base anywhere in tech.

## What Makes Replit's Culture Different

Replit's culture is built around one central belief: software creation should be accessible to everyone, everywhere. This is not just a marketing tagline. The company's product decisions, hiring philosophy, and internal culture all flow from the mission to "empower the next billion software creators." It attracts people who genuinely believe that democratizing coding is important work — and that belief creates a strong sense of purpose that runs through the organization.

The most defining characteristic of Replit's culture is speed. This is a [ship-fast](https://jobsbyculture.com/values/ship-fast) company in the truest sense. Product cycles are measured in days and weeks, not months. Engineers are expected to move quickly, make decisions with incomplete information, and iterate based on real user feedback rather than waiting for perfect specs. The pace is exhilarating for builders who thrive on momentum, but it can feel chaotic for people who prefer more structure. Multiple Glassdoor reviews reference the intensity — both as a pro and a con.

The second defining quality is autonomy. At ~200 people, Replit cannot afford specialization silos. Engineers touch the full stack. Product managers double as user researchers. Designers ship code. This [many-hats culture](https://jobsbyculture.com/values/product-impact) means individual contributors have an unusual amount of ownership and direct influence on what gets built. You are not a cog at Replit — you are a co-builder. The Career Opportunities rating of 4.4 on Glassdoor reflects this: people grow fast because they are given real responsibility early.

The third element is the AI-native mindset. Replit is not a company that bolted AI onto an existing product. Ghostwriter and Replit Agent are core to the platform, and the engineering team is deeply embedded in the frontier of AI-assisted development. Working at Replit means working at the intersection of developer tools and AI — a space that is evolving faster than almost any other in tech. For engineers who want to be at the bleeding edge of how software gets made, Replit offers a front-row seat and a chance to shape the tools themselves.

Pro Reviewers cite the mission as genuinely motivating — building something that changes how software gets created.

## Glassdoor Ratings Breakdown

Replit's overall Glassdoor rating of 4.0 out of 5.0 is based on a relatively small sample of 15 reviews, so individual scores should be interpreted with that caveat. That said, the pattern across sub-categories is revealing and consistent with what you would expect from a high-growth, mission-driven startup at this stage.

Here's how each sub-category breaks down:

Career Opportunities 4.4

Compensation & Benefits 4.2

Culture & Values 4.0

Overall Rating 4.0

Work-Life Balance 3.9

Senior Management 3.5

The standout is Career Opportunities at 4.4 — an exceptionally strong score for a company of any size, and particularly impressive for a ~200-person startup. This confirms what the culture suggests: people at Replit grow fast because the company is growing fast and there is plenty of room to take on bigger challenges. Compensation & Benefits at 4.2 is solid for a private growth-stage company competing against better-funded rivals.

The concerning signal is Senior Management at 3.5 — the lowest sub-score and the one most frequently referenced in critical reviews. Multiple employees mention that leadership can be intense and that decision-making sometimes feels top-down despite the flat structure. At 3.9, Work-Life Balance is better than you might expect for a [ship-fast](https://jobsbyculture.com/values/ship-fast) startup, but the cons around excessive hours suggest that the average masks significant variance across teams and time periods.

## What Employees Actually Say

We analyzed the themes across Replit's Glassdoor reviews. With only 15 reviews, patterns are less statistically robust than at larger companies, but the consistency of certain themes is notable.

### What employees love

Pro Working on AI-powered developer tools at the frontier of what's possible.

Pro High autonomy and ownership, with a mission to empower the next billion software creators.

Pro Smart, ambitious colleagues working on genuinely hard problems in cloud compute and AI.

Pro Career growth is exceptional for a company this size — you get stretched constantly.

The pros paint a picture of a company that attracts builders. People who join Replit are drawn by the technology, the mission, and the opportunity to work on problems that genuinely matter. The autonomy theme is especially strong — at a company this small serving 30 million users, every engineer's work ships to real people quickly. If you have ever worked at a large company where your feature sat in a backlog for six months, Replit is the antidote.

### What could be better

Con Multiple Glassdoor reviews describe an intense leadership style with high pressure and references to terminations being a frequent concern.

Con Reviewers describe operational chaos — processes and roles are still evolving at the pace of a fast-growing startup.

Con Reviewers describe an expectation to put in excessive hours, especially around launches.

Con Some reviewers describe leadership as out of touch with day-to-day team realities.

The cons are serious and worth weighing carefully. The leadership intensity theme is the most concerning — multiple reviews reference a management style that can feel punitive rather than supportive. This is not uncommon at founder-led startups with strong technical visions, but it creates a culture where psychological safety can be uneven. The operational chaos is expected at this stage and size, but combined with the hours expectation, it means Replit demands a lot from its people. For some, that's the price of working on the frontier. For others, it's a dealbreaker. Companies like [Cursor](https://jobsbyculture.com/companies/cursor) and [Vercel](https://jobsbyculture.com/companies/vercel) operate in adjacent spaces with different cultural trade-offs worth comparing.

## Compensation & Benefits

Replit's Compensation & Benefits rating of 4.2 on Glassdoor is strong for a late-stage startup. At a ~$9 billion valuation following its March 2026 Series D, Replit is well into decacorn-adjacent territory, which means the equity component of compensation carries meaningful upside potential. For employees who joined at earlier valuations, the rapid trajectory ($1.16B → $3B → $9B in roughly a year) represents significant wealth creation opportunity.

4.2 / 5

Comp & Benefits Rating

80%

Recommend to Friend

~80%

CEO Approval

As a private growth-stage company, Replit's base salaries are competitive but not at the level of public tech firms with liquid equity. The real compensation play is equity. If you believe in Replit's mission and its ability to capture the AI-powered development market, the equity upside could be transformative — particularly given Replit's run from $1.16B to $9B in roughly a year. If you are optimizing for guaranteed cash compensation, public companies like [Stripe](https://jobsbyculture.com/companies/stripe) or [Databricks](https://jobsbyculture.com/companies/databricks) will likely offer higher base salaries and more liquid equity.

Benefits at a ~200-person startup are necessarily more modest than at a company with 8,000 employees, but Replit offers the standard Silicon Valley package: competitive healthcare, equity grants, and the intangible benefit of working on something that 30 million people use. The Foster City headquarters is supplemented by remote-friendly policies, though the degree of remote flexibility likely varies by role and team.

## Engineering Culture & Tech Stack

Replit's engineering culture is [engineering-driven](https://jobsbyculture.com/values/eng-driven) in the most literal sense: the core product is a tool for engineers, built by engineers who are also its most demanding users. This creates a tight feedback loop that is rare in most companies. When a Replit engineer encounters a pain point in the development workflow, they are simultaneously a user filing a bug and an engineer who can fix it. This dogfooding dynamic produces a product that is genuinely shaped by engineering taste and technical sensibility.

### Tech Stack

TypeScript Go Python Nix

The stack reflects Replit's pragmatic engineering philosophy. TypeScript powers the frontend and much of the application layer. Go handles the performance-critical backend services — the container orchestration, the real-time collaboration infrastructure, and the compute layer that runs millions of development environments. Python drives the AI and machine learning components, including Ghostwriter and Replit Agent. Nix is used for reproducible development environments — a technically interesting choice that ensures consistency across the platform's millions of user workspaces.

### How engineering works at Replit

-   **Ship first, polish later.** Replit's engineering philosophy prioritizes getting features in front of users quickly. The team iterates based on real usage data rather than perfecting features in isolation. This is the opposite of companies like Stripe where design docs precede code. At Replit, the bias is toward action.
-   **Full-stack ownership.** With ~200 people serving 30 million users, there is no room for narrow specialization. Engineers are expected to work across the stack — from frontend UI to backend infrastructure to AI model integration. This breadth is a feature, not a bug.
-   **AI-native development.** The engineering team actively uses Replit's own AI tools (Ghostwriter, Replit Agent) in their daily work. This is not just dogfooding — it means engineers are constantly pushing the boundaries of what AI-assisted development can do, and their insights directly shape the product roadmap.
-   **Small teams, big problems.** Engineering squads are small and focused, typically 3–5 people working on problems that would require 20-person teams at larger companies. The technical challenges are genuinely hard: real-time collaborative editing, sandboxed compute environments at scale, AI code generation, and global infrastructure that serves developers in 200+ countries.

The engineering culture will resonate strongly with people who enjoy building at speed on hard problems. If you want deep specialization and narrow focus, Replit is not the place. If you want to touch everything, ship constantly, and see your work used by millions, it is one of the best environments in developer tools.

## Who Thrives at Replit

Replit is a company with strong opinions about how software should be built, and the culture reflects those opinions. Based on the Glassdoor data, the engineering culture, and the company's stage, here is who tends to do well:

-   **Builders who ship.** If your instinct when faced with a problem is to build something and put it in front of users, you will love Replit. The [ship-fast](https://jobsbyculture.com/values/ship-fast) culture rewards people who can move from idea to implementation quickly. Perfectionism is not valued here — shipping is.
-   **Generalists who like wearing many hats.** At ~200 people, specialization is a luxury Replit cannot afford. You will be expected to work across domains, pick up new technologies quickly, and contribute wherever the need is greatest. If you find energy in variety, this is your environment.
-   **Mission-driven engineers.** The "next billion software creators" mission is not just marketing. People who join Replit because they genuinely believe in democratizing software creation tend to thrive. The mission creates a shared sense of purpose that sustains people through the inevitable chaos and intensity of startup life.
-   **People comfortable with ambiguity.** Replit does not have the operational maturity of a 1,000-person company. Processes are evolving. Roles are fluid. Priorities shift. If you need clear org charts and quarterly planning cycles, consider more mature companies like [Vercel](https://jobsbyculture.com/companies/vercel) or [Cursor](https://jobsbyculture.com/companies/cursor).
-   **AI enthusiasts.** Working at Replit means working at the intersection of developer tools and AI. If you are excited about LLMs, code generation, and the future of how software gets built, Replit puts you at the frontier of that conversation.

Replit is _not_ ideal for people who need strong management support and mentorship structure, those who prioritize predictable work-life balance, or engineers who prefer deep specialization in a single domain. The 3.5 Senior Management score and the cons around leadership intensity are real signals. If you value psychological safety and structured career ladders above all else, companies like [HubSpot](https://jobsbyculture.com/companies/hubspot) or [Notion](https://jobsbyculture.com/companies/notion) may be a better fit. But if you want to build the future of coding with a small, ambitious team — and you can handle the heat — Replit is one of the most exciting places to do it.

## Open Positions at Replit

Replit is actively hiring across engineering, product, and AI roles. As a ~200-person company with a platform serving 30 million users, every hire has an outsized impact on the product and the culture. If the [ship-fast](https://jobsbyculture.com/values/ship-fast), [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture described in this post resonates with you, Replit is worth a serious look.

For full details on Replit's open roles, culture values, and side-by-side comparisons with other companies, visit the [Replit culture profile page](https://jobsbyculture.com/companies/replit) or browse [all Replit jobs](https://jobsbyculture.com/jobs?company=replit).

## Frequently Asked Questions About Working at Replit

How many employees does Replit have in 2026?+

Replit has approximately 200 employees as of 2026. Despite the relatively small team size, Replit's platform serves over 30 million developers worldwide, making it one of the highest-leverage teams in developer tools. The company is backed by ~$650M in total funding at a ~$9 billion valuation following its March 2026 Series D led by Georgian Partners.

What is Replit's Glassdoor rating?+

Replit has a 4.0 out of 5.0 overall Glassdoor rating based on 15 reviews. Career Opportunities is the highest-rated category at 4.4/5, while Senior Management is the lowest at 3.5/5. About 80% of employees recommend working there. The small sample size means individual reviews carry significant weight. See our [full Replit culture profile](https://jobsbyculture.com/companies/replit) for the complete breakdown.

What is Replit's engineering culture like?+

Replit's engineering culture centers on TypeScript, Go, and Python, building a browser-based IDE with AI-powered coding assistance (Ghostwriter and Replit Agent). Engineers have high autonomy and ownership, working across the full stack on problems in cloud compute, real-time collaboration, and AI infrastructure. The culture emphasizes [shipping fast](https://jobsbyculture.com/values/ship-fast) and iterating based on real user feedback from 30 million developers.

Does Replit allow remote work?+

Replit is remote-friendly with a headquarters in Foster City, California. The company has distributed team members, though some roles may prefer or require proximity to the Bay Area office. The remote-friendly approach reflects Replit's product philosophy — if you are building a cloud-based IDE, it makes sense to enable distributed work. Check individual job listings at [replit.com/careers](https://replit.com/careers?ref=jobsbyculture.com) for specific location requirements.

What is Replit's compensation like?+

Replit's Compensation & Benefits rating is 4.2/5 on Glassdoor. Following its March 2026 Series D at a ~$9 billion valuation (up from $3B six months earlier), Replit offers competitive base salaries with meaningful equity upside. The equity component is the key differentiator — the company tripled its valuation in six months and is targeting $1B ARR by end of 2026. Base salaries may be lower than public companies, but the total potential compensation, including equity, is compelling.

Who is Replit's CEO?+

Replit's CEO is Amjad Masad, who co-founded the company in 2016 alongside Haya Odeh and Faris Masad. Masad has approximately 80% CEO approval on Glassdoor. He is a prominent figure in the developer tools community with a strong public presence on social media. Reviews praise his technical vision but some note that his leadership style can be intense. Before Replit, Masad worked at Facebook on developer tooling.

Is Replit a good place to work?+

Whether Replit is a good fit depends on what you value. It's excellent for builders who want high autonomy, meaningful [product impact](https://jobsbyculture.com/values/product-impact), and exposure to cutting-edge AI technology. The mission to empower the next billion software creators is genuinely motivating, and the Career Opportunities rating of 4.4/5 suggests strong growth potential. However, the pace is intense, work-life balance can suffer during crunch periods, and some reviews flag leadership intensity as a concern. If you thrive in fast-moving, high-ownership environments, Replit could be a great match. If you prefer structure and predictability, look at companies like [Cursor](https://jobsbyculture.com/companies/cursor) or [Vercel](https://jobsbyculture.com/companies/vercel) instead.

### Explore Replit jobs with culture context

See Replit's open roles alongside jobs from companies like Cursor, Vercel, Anthropic, and more — all with culture data and employee reviews.

[View Replit Profile →](https://jobsbyculture.com/companies/replit) [Browse Replit Jobs →](https://jobsbyculture.com/jobs?company=replit)

---

## Document: Working at Robinhood in 2026: Culture, Compensation & What Employees Say

# Working at Robinhood in 2026: Culture, Compensation & What Employees Say

> Working at Robinhood in 2026: ~2,500 employees, 3.6 Glassdoor rating, engineering-first culture, $180k–$450k comp, and what employees say after the layoffs, the GameStop drama, and the profitability comeback.

Source: https://jobsbyculture.com/blog/working-at-robinhood-2026
Markdown: https://jobsbyculture.com/blog/working-at-robinhood-2026.md
Last updated: 2026-07-14

---
No fintech company of the past decade has had a more turbulent public narrative than [Robinhood](https://jobsbyculture.com/companies/robinhood). Founded in 2013 by Vlad Tenev and Baiju Bhatt with the audacious mission of democratizing finance for all, the company grew from a scrappy Menlo Park startup into a publicly traded platform serving tens of millions of retail investors. It also stumbled into the center of one of the most controversial moments in recent market history, weathered painful rounds of layoffs, and then quietly rebuilt itself into a profitable, diversified financial services company.

By 2026, Robinhood looks very different from the company that made headlines in 2021. But what does that mean for the people who work there? We analyzed Robinhood's [company profile](https://jobsbyculture.com/companies/robinhood), 880 employee reviews, and public disclosures to give you an honest picture of Robinhood as an employer — the good, the complicated, and the genuinely difficult. Whether you're evaluating a job offer, comparing Robinhood against companies like [Coinbase](https://jobsbyculture.com/companies/coinbase) or [Brex](https://jobsbyculture.com/companies/brex), or just trying to understand the culture behind the app, here's what you need to know.

## Robinhood at a Glance

Founded

2013

Founders

Vlad Tenev & Baiju Bhatt

Headquarters

Menlo Park, CA (offices in NYC, Denver, Seattle)

Public

NASDAQ: HOOD

Company Size

~2,500 employees

Engineering Headcount

~827 people (largest department)

Glassdoor Rating

3.6 / 5.0 (~893 reviews)

Work-Life Balance

3.4 / 5.0

Recommend to Friend

56%

Total Comp Range

$180k – $450k

Work Model

Hybrid (Menlo Park, NYC, Denver, Seattle)

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship-Fast](https://jobsbyculture.com/values/ship-fast), [Equity](https://jobsbyculture.com/values/equity), [Social Impact](https://jobsbyculture.com/values/social-impact)

Within our [Culture Directory](https://jobsbyculture.com/companies), Robinhood sits in an interesting middle ground: a public company with the soul of an engineering-first startup, carrying the weight of its controversial past while building toward a more diversified future. The 3.6 Glassdoor rating and 56% recommendation rate tell you this isn't a love-it-unconditionally culture — but the story behind those numbers is more nuanced than the headline suggests.

## The History You Can't Ignore

You can't fully understand Robinhood as an employer without understanding what the company went through between 2020 and 2023. This history directly shaped the culture, the headcount, and the morale that current employees describe.

Robinhood's rocket-ship growth during the pandemic minting era was real. Millions of first-time investors downloaded the app, the company hit its stride with a zero-commission model that genuinely disrupted how ordinary people access markets, and a NASDAQ IPO in July 2021 seemed to validate the mission. Then came January 2021 and the GameStop short squeeze. When Robinhood restricted trading in meme stocks like GME to manage its clearing house deposit requirements, the company became the villain in a story about retail investors versus Wall Street — even though the mechanics behind the decision were more mundane than the narrative suggested. The reputational damage was immediate and severe. Congressional hearings followed. Trust eroded among the exact demographic — young, first-time investors — that Robinhood had built its entire brand on.

The aftermath was painful. User growth slowed. Revenue fell sharply from its pandemic highs. In April 2022, Robinhood cut approximately 9% of its workforce. Four months later, it cut another 23% — more than 800 jobs in a single announcement. Additional reductions followed in 2023. At its trough, the company had lost well over a third of its peak headcount and its stock was trading at a fraction of its IPO price.

What happened next matters just as much for prospective employees. Robinhood didn't stagnate. The company launched a credit card, expanded into retirement accounts, built out a crypto trading suite, introduced a Gold subscription tier with premium features, and achieved profitability in 2024 — a milestone that had seemed distant during the layoff years. The HOOD stock recovered. The product diversified. By 2026, Robinhood is a meaningfully different company from the one that froze GME trading — and understanding that arc is essential for anyone considering joining.

Pro Reviewers describe the mission as genuine — Robinhood opened investing to people who previously had no access, and employees feel that in the work.

## Glassdoor Ratings Breakdown

Robinhood's 3.6 overall rating across roughly 893 reviews places it below the median for fintech companies in our [directory](https://jobsbyculture.com/companies). That number is honest — it reflects a company that went through significant upheaval and hasn't yet fully rebuilt employee confidence. But the sub-category breakdown reveals a more differentiated picture.

Compensation & Benefits 3.9

Overall Rating 3.6

Work-Life Balance 3.4

Culture & Values 3.4

Career Opportunities 3.2

Compensation is the clear bright spot at 3.9 — the $180k–$450k total comp range is genuinely competitive for a public fintech company. The weaker scores in Culture & Values (3.4) and Career Opportunities (3.2) are more concerning. The career growth rating in particular is one of the lower scores in our directory and warrants direct attention from anyone considering a mid-career move. It likely reflects a combination of factors: the restructuring that followed layoffs, flattened hiring slowing internal mobility, and a company that is still rebuilding its trajectory after contraction.

Work-Life Balance at 3.4 is typical for a company with market-sensitive operations. When trading volumes spike — during earnings seasons, market volatility events, or major crypto moves — the engineering and operations teams feel it. This isn't unique to Robinhood; it comes with the territory of running financial infrastructure at scale.

## The Engineering-First Reality

One thing the ratings don't fully capture: Robinhood is genuinely [engineering-driven](https://jobsbyculture.com/values/eng-driven). With around 827 engineers out of roughly 2,500 total employees, engineering is the largest functional group by a significant margin. This isn't an accident or an artifact of the company's growth phase — it reflects a deliberate philosophy that the product is the differentiator, and the product is built by engineers.

At Robinhood, engineers are not order-takers. They own systems, make architectural decisions, and have a direct line between their work and the experience of tens of millions of active users. The problems are genuinely hard: high-availability trading infrastructure that must be reliable during peak market stress, real-time risk and compliance systems operating under tight regulatory constraints, and a mobile-first consumer product that needs to feel instant even when the back-end is doing complex financial calculations.

### Tech Stack

Python Go Kotlin React Native Django Kafka AWS

The stack reflects the dual nature of Robinhood's technical work: Python and Django power the core backend services and data pipelines; Go handles performance-critical services where latency matters; Kotlin drives the Android app; React Native powers a shared mobile experience. Kafka underpins the event streaming architecture that ties everything together. AWS is the primary cloud, with a significant investment in internal reliability tooling to support financial-grade uptime requirements.

### What engineering at Robinhood is actually like

-   **Scale with compliance constraints.** You're building systems that handle real money for real people under real regulatory scrutiny. The FINRA and SEC frameworks that govern a broker-dealer create guardrails that don't exist at a typical tech company. Some engineers find this intellectually stimulating — you're designing for correctness, not just performance. Others find it limiting. Know which camp you're in before you join.
-   **High-stakes operational culture.** Market hours are real. A bug that ships on a Tuesday morning can affect trading for millions of users before you can roll it back. This creates a culture with more operational discipline than a typical growth-stage startup — thorough code review, staged rollouts, and incident management are not bureaucracy, they're necessities.
-   **Ship fast within structure.** Robinhood still values [velocity](https://jobsbyculture.com/values/ship-fast), but it's velocity within a more structured system than at a pre-revenue startup. The shipping cadence is fast by financial services standards; it's more deliberate than pure software companies like [Linear](https://jobsbyculture.com/companies/linear) or [Notion](https://jobsbyculture.com/companies/notion). If you come from a pure-play tech background, expect an adjustment period.
-   **Real user impact at massive scale.** When you ship a feature at Robinhood, it reaches tens of millions of people. That's a kind of product impact that very few companies — even well-funded startups — can offer an individual engineer. The work is visible and consequential.

Pro Engineering problems are genuinely interesting — real-time financial infrastructure at massive scale with compliance constraints most tech companies never face.

## What Employees Actually Say

Across roughly 893 Glassdoor reviews, Robinhood's employee feedback clusters around consistent themes. The picture is not uniformly positive — and employees don't pull punches about the difficult period the company went through.

### What employees value

Pro Competitive compensation with RSUs in a public company — the stock recovery since the 2022 lows has made the equity component meaningful again.

Pro Engineering-first culture where technical decisions are made by engineers, not product managers or sales.

Pro Reviewers describe the mission as real — products that genuinely changed who gets access to financial markets.

Pro Strong benefits package — healthcare, 401(k) matching, and parental leave are consistently called out as solid.

### What employees flag as concerns

Con Reviewers describe the post-layoff culture as more cautious and less creative — a risk-aversion that wasn't there before 2022.

Con Career growth is rated 3.2/5 on Glassdoor — reviewers cite fewer promotion opportunities after the contraction.

Con RTO requirements are contentious — reviewers describe policies that have shifted multiple times with uneven enforcement across teams.

Con Intense periods during market events — reviewers note that volatility spikes create heavy on-call and fire-fighting cycles.

The layoff history deserves honest treatment. Two significant rounds of cuts in 2022, followed by additional reductions in 2023, created a cultural residue that hasn't fully dissipated. Multiple reviewers describe a cultural shift toward risk-aversion — fewer bets, more process, less willingness to experiment. This is understandable for a company that had to rebuild its cost structure, but it's a real dynamic that affects day-to-day work. The question for any prospective employee is whether they can see past that cautionary context and bet on the company's next chapter.

## Compensation & Equity

Robinhood pays competitively, and the 3.9/5 Glassdoor compensation rating confirms that employees broadly agree. Total compensation for engineers ranges from approximately $180,000 at earlier career levels to $450,000 and above for senior and principal roles, inclusive of base salary and RSUs.

$180k

Comp Floor (Engineers)

$450k

Comp Ceiling (Senior+)

56%

Recommend to Friend

The RSU component is publicly traded stock (NASDAQ: HOOD), which adds a different character to the equity picture compared to pre-IPO grants. You get liquidity — no need to wait for an IPO or acquisition event to realize value. The downside is that public market valuation is subject to forces beyond the company's control, and HOOD has had a volatile trading history since its 2021 IPO. Employees who joined during the 2022 lows and received RSUs at depressed prices have seen meaningful appreciation as the stock recovered. Those who joined during the high-valuation period experienced significant paper losses before recovery. This is the nature of public company equity, and it's worth factoring into your overall compensation calculus.

Benefits include standard healthcare, dental, and vision coverage, 401(k) matching, parental leave, and a free Robinhood Gold subscription — a useful perk that gives employees access to the premium features their product actually ships. Multiple reviewers call out the benefits package as solid without being exceptional: generous enough to not be a complaint, not flashy enough to be a draw on its own.

## The Mission Question

Robinhood's stated mission — "democratize finance for all" — is one of the most cited reasons employees join and stay. This is not pure marketing. The company genuinely did open stock trading to millions of Americans who had been priced out by commissions, account minimums, and inaccessible interfaces. Features like fractional shares, no account minimums, and a mobile-first UX that made trading approachable weren't incremental improvements — they were structural changes to how retail investors could participate in markets.

The GameStop controversy complicated that mission narrative, because the trading restrictions — however technically justified by Robinhood's clearing house obligations — looked like exactly the kind of institutional barrier the company was supposed to be fighting against. Working through that contradiction is something Robinhood employees have had to do, and the culture shows the strain. Some employees are energized by the mission despite the controversy. Others are more ambivalent. What you won't find is a company that pretends the controversy didn't happen.

The mission carries more weight now than it did in 2022. The product has diversified into retirement accounts (Robinhood IRA), a credit card aimed at everyday consumers, and expanded crypto trading — all of which extend the democratization thesis into new financial services that have historically been either expensive or inaccessible. For employees who believe in the original thesis, the product roadmap of 2026 feels like a more complete version of what the company was always trying to build.

Pro Reviewers see the diversified product suite — IRAs, credit card, expanded crypto — as moving the company closer to the original "financial platform for everyone" thesis.

## Pros & Cons: The Honest Summary

### What employees value

-   Competitive total comp ($180k–$450k) with public company RSU liquidity
-   [Engineering-first](https://jobsbyculture.com/values/eng-driven) culture with real technical ownership
-   High-scale infrastructure problems that are genuinely hard and interesting
-   Mission that created tangible, documented [social impact](https://jobsbyculture.com/values/social-impact)
-   Multi-city hybrid model (Menlo Park, NYC, Denver, Seattle)

### What employees flag

-   Career growth rated 3.2/5 — slowest sub-score in the profile
-   Layoff history created risk-averse culture residue
-   Intense periods during market volatility events
-   Hybrid RTO policies inconsistent and contested across teams
-   Culture & Values at 3.4/5 — still rebuilding from 2022–2023

## Who Thrives at Robinhood

Robinhood in 2026 is not for everyone, and the culture data makes the fit profile relatively clear. Here's who tends to do well:

-   **Engineers who want financial infrastructure at scale.** If the combination of high-traffic consumer systems and financial compliance constraints sounds interesting rather than limiting, Robinhood offers problems that few other companies can match at the same scale. You're not building in a sandbox — the systems you maintain move real money for tens of millions of people.
-   **People genuinely motivated by the democratization mission.** The mission is real and the product does what it claims. If you're drawn to fintech because you believe financial access matters as a social good, Robinhood's core thesis is defensible — and the expanded product suite makes it more complete than it was at IPO.
-   **Mid-career engineers who want public company stability with startup DNA.** Robinhood is post-IPO and profitable, which means the existential risk of a pre-revenue startup is off the table. But it's also small enough (2,500 people) that individual engineers retain real ownership and impact. That's a combination that's harder to find than it seems.
-   **People who can weather a hybrid model.** If you're comfortable working in-office multiple days per week across one of Robinhood's four cities, the hybrid setup won't be a dealbreaker. If you need fully remote or are not within commuting distance of a Robinhood office, this is a hard constraint that won't change.
-   **People who bet on recovery narratives.** Robinhood's story from 2022 to 2024 is one of contraction followed by genuine recovery. If you believe the company's product expansion and path to sustained profitability create upside — in the stock, in the culture, in the opportunity — this is an interesting time to join. If you need a company that has never been through turmoil, look elsewhere.

Robinhood is _not_ the right fit for people who prioritize career growth above all else — the 3.2/5 career opportunities score is a real signal, not a fluke. It's also not ideal for engineers who want the psychological safety of a company without reputational baggage, or for people who want a fully remote role. If those are your primary filters, consider [Stripe](https://jobsbyculture.com/companies/stripe) for financial infrastructure with a cleaner reputation, [Coinbase](https://jobsbyculture.com/companies/coinbase) for crypto-native culture with more remote flexibility, or [Mercury](https://jobsbyculture.com/companies/mercury) for a smaller fintech with strong engineering culture and different risk profile.

## Open Positions at Robinhood

Robinhood is selectively hiring in 2026, with most open roles concentrated in engineering, product, and compliance functions. Given the company's stabilization and product expansion into credit, retirement, and crypto, there's genuine upside for engineers who join during this rebuild phase — particularly those who can contribute to the new product lines rather than just maintaining legacy infrastructure.

For full details on Robinhood's open roles, culture values, and side-by-side comparisons with other fintech companies, visit the [Robinhood culture profile](https://jobsbyculture.com/companies/robinhood) or [browse all open Robinhood jobs](https://jobsbyculture.com/jobs?company=robinhood).

## Frequently Asked Questions About Working at Robinhood

How many employees does Robinhood have in 2026?+

Robinhood has approximately 2,500 employees as of 2026. After significant layoffs in 2022 and 2023 that reduced headcount from its pandemic peak, the company has stabilized and selectively resumed hiring — particularly in engineering, which remains its largest department with around 827 people. Robinhood is publicly traded on NASDAQ under the ticker HOOD. See our [Robinhood culture profile](https://jobsbyculture.com/companies/robinhood) for more detail.

What is Robinhood's Glassdoor rating?+

Robinhood has a 3.6 out of 5.0 overall Glassdoor rating based on roughly 893 reviews. Sub-scores include Compensation & Benefits at 3.9/5, Work-Life Balance at 3.4/5, Culture & Values at 3.4/5, and Career Opportunities at 3.2/5. 56% of employees recommend working there. The rating reflects a company still recovering from its 2022–2023 contraction, with contentious RTO mandates as an ongoing friction point in reviews.

What is Robinhood's engineering culture like?+

Robinhood is [engineering-first](https://jobsbyculture.com/values/eng-driven) in a meaningful sense — engineers are the largest department at ~827 people and have real influence over product direction. The stack includes Python, Go, Kotlin, and React Native. Engineers work on high-stakes, high-traffic financial systems where reliability and compliance constraints coexist with a genuine push to [ship fast](https://jobsbyculture.com/values/ship-fast). The culture is more structured than a typical startup given regulatory requirements, but ownership and impact are real.

What is Robinhood's compensation like?+

Robinhood's total compensation ranges from approximately $180,000 to $450,000, depending on level and role. Compensation includes base salary, RSUs in publicly traded HOOD stock, and a solid benefits package. The Glassdoor comp rating is 3.9/5 — above average, though a step below the most aggressive payers in tech. The public company RSU structure provides liquidity that pre-IPO equity cannot, but also exposes employees to public market volatility.

Does Robinhood allow remote work?+

Robinhood operates a hybrid work model across its offices in Menlo Park, New York, Denver, and Seattle. The company is not remote-first — most roles require in-office presence on a regular basis, with the exact schedule varying by team. RTO requirements have been a source of friction in employee reviews. If fully remote work is your priority, see our [remote-friendly company directory](https://jobsbyculture.com/values/remote) for better alternatives.

What were Robinhood's layoffs and how has the company recovered?+

Robinhood conducted significant layoffs in 2022 (approximately 9% in April, then 23% in August) and additional reductions in 2023. The company subsequently rebuilt its financial position: it achieved profitability in 2024, the HOOD stock recovered substantially, and new products including a credit card, retirement accounts, and expanded crypto trading diversified revenue. By 2026, the company is on a considerably stronger footing than during the layoff period.

Is Robinhood a good place to work?+

Robinhood is a solid choice for engineers who want to work on high-scale financial infrastructure with a strong mission, competitive comp, and [engineering-first](https://jobsbyculture.com/values/eng-driven) culture. The 3.6 Glassdoor rating and 56% recommendation rate reflect a mixed but improving experience. The main concerns are below-average career growth (3.2/5), hybrid RTO requirements, and the cultural residue from the 2022–2023 layoff period. For the right engineer — one energized by financial systems at scale and willing to bet on the company's recovery arc — Robinhood offers meaningful impact. See our [full Robinhood profile](https://jobsbyculture.com/companies/robinhood) for side-by-side comparisons.

### Explore Robinhood jobs with culture context

See Robinhood's open roles alongside jobs from Coinbase, Brex, Mercury, Stripe, and more — all with culture data and employee reviews.

[View Robinhood Profile →](https://jobsbyculture.com/companies/robinhood) [Browse Robinhood Jobs →](https://jobsbyculture.com/jobs?company=robinhood)

---

## Document: Runway in 2026: ~420 Employees, AI Video Pioneer, Salary & Culture

# Runway in 2026: ~420 Employees, AI Video Pioneer, Salary & Culture

> Working at Runway in 2026: ~420 employees, 4.5 Glassdoor rating, $180k-$350k engineer comp, and what the art-meets-engineering culture is really like inside the AI video generation pioneer.

Source: https://jobsbyculture.com/blog/working-at-runway-2026
Markdown: https://jobsbyculture.com/blog/working-at-runway-2026.md
Last updated: 2026-07-14

---
[Runway](https://jobsbyculture.com/companies/runway) is one of the most fascinating companies in the AI landscape. Founded in 2018 by Cristóbal Valenzuela, Alejandro Matamala, and Anastasis Germanidis, the company has grown from a small research project into the defining force in AI-powered video generation. Following a $315M Series E in February 2026 that valued the company at $5.3 billion, Runway's Gen-4 and Gen-4.5 models (Gen-4.5 released December 2025) currently hold the #1 spot on the Video Arena leaderboard — ahead of Google Veo and OpenAI Sora — and are used by filmmakers, advertising agencies, independent creators, and Hollywood studios to generate, edit, and transform video in ways that seemed impossible just two years ago.

But Runway isn't just a research lab. It's a product company with a creative soul. Unlike most AI startups that optimize for benchmarks and technical papers, Runway has always centered its work around creative professionals — the people who actually need these tools to make films, commercials, music videos, and art. That tension between deep technical research and genuine creative empathy is what makes Runway's culture unlike anything else in tech.

We pulled data from Runway's [company profile](https://jobsbyculture.com/companies/runway), Glassdoor reviews, and public information to give you an honest, detailed picture of Runway as an employer in 2026. Whether you're evaluating an offer, preparing for an interview, or just curious about what it's like to work at the frontier of AI video, here's what you need to know.

## Runway at a Glance

Founded

2018

Headquarters

New York, NY

Company Size

~420 employees

Valuation

~$5.3B (Series E, Feb 2026)

Glassdoor Rating

4.5 / 5.0

Work-Life Balance

4.0 / 5.0

Recommend to Friend

90%

Salary Range

$180k – $350k

Location

🇺🇸 NYC · Remote

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Product Impact](https://jobsbyculture.com/values/product-impact), [Remote-Native](https://jobsbyculture.com/values/remote), [Learning](https://jobsbyculture.com/values/learning), [Ship Fast](https://jobsbyculture.com/values/ship-fast)

Runway is a compact, high-impact company that punches well above its weight class. With only ~420 employees, it competes directly with teams at OpenAI, Google DeepMind, and Meta that have thousands of engineers focused on video generation. The 4.5 Glassdoor rating is one of the highest across our [entire Culture Directory of 118 companies](https://jobsbyculture.com/companies), placing Runway in the top tier alongside companies like [Linear](https://jobsbyculture.com/companies/linear) and [Anthropic](https://jobsbyculture.com/companies/anthropic). The 90% recommendation rate tells you something important: the vast majority of people who work there are genuinely enthusiastic about the experience.

## What Makes Runway's Culture Different

Most AI companies talk about culture in terms of technical rigor, move-fast-and-break-things velocity, or research-first thinking. Runway has all of those things, but its defining cultural characteristic is something rarer: a deep, genuine respect for creative work and the people who do it.

This isn't superficial. Runway was born from the intersection of art and machine learning. Cristóbal Valenzuela came from a design and art background before moving into ML research. The company's earliest employees included filmmakers, visual artists, and designers alongside ML engineers. That DNA persists today. When you walk into Runway's New York office (or join a virtual meeting), you'll find conversations that move fluidly between diffusion model architectures and cinematography techniques, between training data curation and color grading aesthetics.

The practical effect is that engineers at Runway don't just build models — they build tools that creative professionals actually want to use. The feedback loop between research, product, and end users is tighter than at almost any other AI company. Engineers regularly watch filmmakers use their tools in real-time. Product decisions are informed by creative intuition, not just metric optimization. This means that if you're an engineer who has ever felt frustrated building features that nobody actually wants, Runway's [product impact](https://jobsbyculture.com/values/product-impact) culture will feel refreshing.

The second defining trait is speed. Runway operates with a [ship-fast](https://jobsbyculture.com/values/ship-fast) mentality that's unusual for a company doing cutting-edge research. The Gen-3 → Gen-4 (March 2025) → Gen-4.5 (December 2025) cadence is the kind of pace that surprised the industry. At ~420 people, there's minimal bureaucracy. Teams are small, decisions are made quickly, and the path from idea to production is short. Multiple employees cite the lack of process overhead as one of the best things about working there.

The third is a genuine [learning culture](https://jobsbyculture.com/values/learning). At a company where the technology is evolving this fast, learning isn't optional — it's survival. Runway engineers are expected to stay current with the latest research, experiment with new approaches, and share what they learn. The small team size means you're often working alongside the people who authored the papers your work builds on. The learning is organic and constant, not packaged into quarterly training sessions.

Pro Pioneer in AI video generation — Gen-4 and Gen-4.5 sit at the top of independent benchmarks.

Pro Unique blend of art and engineering — the culture genuinely values both.

## Glassdoor Ratings Breakdown

Runway's 4.5 out of 5.0 Glassdoor rating is exceptional, especially for a company operating in one of the most competitive and fast-moving areas of AI. For context, this matches or exceeds the ratings of significantly larger and more established companies. The 90% recommend-to-friend rate reinforces the picture: people who join Runway tend to love it there.

Here's how the key metrics break down:

Overall Rating 4.5

Work-Life Balance 4.0

Recommend to Friend 90%

The work-life balance score of 4.0 is particularly noteworthy. For a company that [ships fast](https://jobsbyculture.com/values/ship-fast) in a hyper-competitive market, maintaining a 4.0 WLB rating suggests that Runway has found a sustainable pace. This is better than many companies in our directory, including [Stripe](https://jobsbyculture.com/companies/stripe) (3.6) and several frontier AI labs. Part of the explanation is the [remote-friendly](https://jobsbyculture.com/values/remote) structure — Runway supports async work practices that give employees meaningful flexibility over their schedules. Part of it is simply team size: at ~420 people, there's less meeting overhead, less cross-team coordination tax, and more time for actual work.

For a full comparison, check the [Runway culture profile](https://jobsbyculture.com/companies/runway) or use our [comparison tool](https://jobsbyculture.com/compare) to see how Runway stacks up against any company in our database.

## What Employees Actually Say

We analyzed recurring themes across Runway's Glassdoor reviews. The sentiment is overwhelmingly positive, but there are honest trade-offs that come with working at a smaller company in an intensely competitive space.

### What employees love

Pro Pioneer in AI video generation — Gen-4 / Gen-4.5 are widely regarded as industry-leading.

Pro Unique creative + technical culture that values aesthetics.

Pro Mostly remote-friendly with strong async practices.

Pro Strong research output with real product impact.

The theme is clear: Runway attracts people who want to do technically ambitious work that also has a tangible creative impact. The combination of research excellence and product shipping speed is rare — most companies are good at one or the other. Employees consistently highlight the quality of their colleagues, the creative energy of the culture, and the thrill of working on technology that's visibly changing how video is made. The [remote-friendly](https://jobsbyculture.com/values/remote) setup with strong async practices gives people flexibility without the isolation that plagues some distributed teams.

### What could be better

Con Smaller team (~420) means limited specialization — engineers wear multiple hats.

Con AI video generation is an increasingly competitive space.

Con Limited public engineering blog content compared to peer companies.

Con New York HQ can mean fewer roles outside the US.

The cons are honest reflections of Runway's position. At ~420 employees, you're not going to find the same level of role specialization as you would at a company of 5,000. Engineers wear multiple hats — which is exciting for generalists but can be draining for people who want to go deep on a single domain. The competitive landscape is the elephant in the room: OpenAI's Sora, Google's Veo, and a wave of well-funded startups are all pushing hard into video generation. Runway has a significant first-mover advantage and stronger creator relationships, but the pressure is real and employees feel it. The limited public engineering content means Runway's technical brand is less visible than companies like [Vercel](https://jobsbyculture.com/companies/vercel) or [Stripe](https://jobsbyculture.com/companies/stripe) that invest heavily in developer content.

## Compensation & Benefits

Runway's compensation range of $180k to $350k reflects the spread across roles, levels, and locations. For research scientists and senior ML engineers working on core model development, total comp reaches toward the higher end. For product roles and more junior engineering positions, the lower end is still competitive with the broader NYC tech market.

4.5

Glassdoor Rating

90%

Recommend to Friend

~420

Employees

Comp at Runway typically includes base salary, equity, and standard benefits. The equity component is particularly interesting at this stage of the company's growth. Runway has raised significant venture capital at increasingly high valuations, and the AI video generation market is expanding rapidly. For employees who joined in the earlier stages, equity appreciation has been meaningful. For new hires, the equity story depends on your conviction about Runway's ability to maintain its lead in an increasingly crowded field.

It's worth noting that Runway's comp range is lower at the top end than frontier AI labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai), where senior research scientists can command $400k–$550k+. But the comparison isn't quite apples-to-apples: Runway's [remote-friendly](https://jobsbyculture.com/values/remote) structure, better work-life balance (4.0 vs. typical AI lab scores of 3.2–3.6), and unique creative culture mean you're optimizing for a different set of values. If maximum cash comp is your top priority, the large AI labs will beat Runway. If you want to work on equally cutting-edge technology in a more humane, creatively stimulating environment, the trade-off may be worth it.

## Engineering Culture & Tech Stack

Runway's [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture is built around the challenge of generating, understanding, and transforming video with AI. This is one of the hardest problems in machine learning: video involves temporal coherence, spatial consistency, physics simulation, aesthetic quality, and computational efficiency — all at once. The technical challenges are genuinely frontier-level, and the engineering team is structured to tackle them with both rigor and speed.

### Tech Stack

Python PyTorch CUDA Diffusion Models TypeScript React Kubernetes GPU Infrastructure

The core ML work is done in Python and PyTorch, with heavy GPU optimization at the CUDA level. Runway's video generation models are based on diffusion architectures that the team has pushed to industry-leading quality. The product and web platform is built with TypeScript and React, and the infrastructure runs on Kubernetes with custom GPU scheduling and orchestration. The entire stack is optimized for the unique demands of video — which requires orders of magnitude more compute than image generation.

### How engineering works at Runway

-   **Research and product are tightly coupled.** Unlike large AI labs where research teams operate independently from product, Runway's researchers and product engineers work side by side. A breakthrough in model architecture can show up in the product within weeks, not quarters. This tight coupling is one of the biggest attractions for research-minded engineers who want to see their work used by real people.
-   **Small teams, big ownership.** With ~420 people total, engineering teams are small by necessity. You'll own significant chunks of the system end-to-end. This means more responsibility, faster learning, and a direct line between your work and the product experience. It also means wearing multiple hats — you might be optimizing inference latency one week and building a new user-facing feature the next.
-   **Ship-fast mentality.** Runway's [ship-fast](https://jobsbyculture.com/values/ship-fast) culture means that the bias is toward getting things in front of users quickly and iterating based on real feedback. Code review is thorough but not bureaucratic. The goal is quality at speed, not perfection at the cost of velocity.
-   **Creative feedback loops.** Engineers regularly interact with the filmmakers, artists, and creators who use Runway's tools. This isn't a company where user research is abstracted away behind layers of product management. Engineers see how their work is used, hear what's broken, and understand the creative workflows they're supporting.

For engineers who want to work on genuinely hard ML problems with immediate [product impact](https://jobsbyculture.com/values/product-impact), Runway offers a combination that's hard to find elsewhere. The trade-off is that you won't have the same depth of specialization or infrastructure support that a larger organization can provide. You need to be comfortable operating with less scaffolding.

## The Competitive Landscape

Any honest assessment of Runway in 2026 needs to address the competitive pressure. AI video generation has gone from a niche research area to one of the most hotly contested spaces in tech. OpenAI's Sora, Google's Veo, Meta's video generation efforts, and a wave of startups like Pika and Kling are all competing for the same market.

Runway's advantages are real: they were first to market with production-quality tools, they have deep relationships with the creative community, and Gen-4 is widely regarded as the quality benchmark. But maintaining a lead when trillion-dollar companies are pouring resources into the same problem is genuinely challenging. Employees acknowledge this pressure in reviews. It creates urgency and excitement, but also uncertainty.

From a career perspective, this competitive dynamic cuts both ways. If Runway continues to win, early employees will benefit enormously from equity appreciation and the prestige of having built the defining product in the category. If larger players catch up or surpass Runway's quality, the company's market position becomes more precarious. This is the classic startup risk-reward calculation, amplified by the speed at which AI capabilities are advancing.

## Who Thrives at Runway

Runway's culture is distinctive enough that fit matters more than at a generic tech company. Based on the culture signals, employee reviews, and the nature of the work, here's who tends to thrive:

-   **Creative technologists.** If you're an engineer who also cares about aesthetics, visual storytelling, or the creative process, Runway is one of the very few places where that sensibility is valued alongside technical skill. The culture rewards people who can think about both model performance and user experience. If you've ever been frustrated by a company that treats design as an afterthought, you'll appreciate this.
-   **Generalists who want breadth.** At ~420 employees, everyone wears multiple hats. If you thrive on variety — touching research, infrastructure, product, and user experience in a single quarter — Runway will keep you engaged. If you want to spend years going deep on a single, narrow problem, a larger research lab might be a better fit.
-   **People who want to [ship fast](https://jobsbyculture.com/values/ship-fast).** Runway's cadence is aggressive. If you get energy from seeing your work in production quickly and iterating based on real user feedback, this environment will feel energizing. If you prefer slow, deliberate development cycles with extensive planning phases, you'll find the pace uncomfortable.
-   **Self-starters who thrive with autonomy.** The [remote-friendly](https://jobsbyculture.com/values/remote) structure and small team size mean less hand-holding and more trust. Runway expects you to figure things out, ask for help when you need it, and drive your work forward without extensive oversight. This is liberating for experienced engineers and can be overwhelming for people who need more structure.
-   **People comfortable with uncertainty.** Working at the frontier of AI video generation means that the competitive landscape, the technology, and the market are all evolving rapidly. If you need stability and predictability, a larger, more established company will serve you better. If you're energized by operating in a space where the rules are still being written, Runway is the place.

Runway is _not_ ideal for people who want deep specialization in a single domain, who need extensive mentorship and structured career ladders, or who are uncomfortable with the competitive risks inherent in a fast-moving AI market. The company's size means that some of the support structures you'd find at a [Databricks](https://jobsbyculture.com/companies/databricks) or [HubSpot](https://jobsbyculture.com/companies/hubspot) simply don't exist yet. If structured career progression and well-defined promotion criteria are important to you, those are areas where larger companies have an advantage.

## Remote Work & Location

Runway is headquartered in New York City but operates as a [remote-native](https://jobsbyculture.com/values/remote) company with strong async practices. This means that while NYC remains the center of gravity — particularly for roles that involve hardware, on-site collaboration, or direct creative partnerships — many engineering and research roles can be done remotely.

The async culture is a genuine strength. Rather than defaulting to meetings for every decision, Runway relies on written communication, documented decisions, and asynchronous collaboration tools. This gives employees meaningful flexibility over their schedules and work hours, which is reflected in the strong 4.0 work-life balance rating.

The caveat is geographic. As a New York-headquartered company, some roles are more available to US-based candidates, and there may be fewer opportunities for engineers based in Europe or Asia compared to companies with larger global footprints. If you're based outside the US, it's worth checking the specific role you're interested in for location requirements.

## Open Positions at Runway

Runway is actively hiring across research, engineering, product, and creative roles. Given the company's growth trajectory and the expanding market for AI video tools, the team is scaling thoughtfully — adding capability without losing the tight-knit culture that makes it special.

For full details on Runway's open roles, culture values, and side-by-side comparisons with other companies, visit the [Runway culture profile page](https://jobsbyculture.com/companies/runway) or browse [open Runway positions](https://jobsbyculture.com/jobs?company=runway) directly.

## Frequently Asked Questions About Working at Runway

How many employees does Runway have in 2026?+

Runway has approximately 420 employees as of 2026. The company has grown steadily from its founding, maintaining a deliberately lean team relative to the scale of its products. As the AI video generation market expands, Runway is selectively hiring across research, engineering, and product roles. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Runway's Glassdoor rating in 2026?+

Runway has a 4.5 out of 5.0 Glassdoor rating, placing it among the highest-rated companies in the AI and tech space. 90% of employees recommend working there. Work-life balance is rated 4.0/5, which is strong for a fast-moving AI company. See our [full Runway culture profile](https://jobsbyculture.com/companies/runway) for the complete breakdown.

What is Runway's compensation for engineers?+

Total compensation for engineers at Runway typically ranges from $180k to $350k depending on level and role, including base salary, equity, and bonus. Research-focused roles and senior engineering positions tend toward the higher end. This is competitive with the broader NYC tech market, though slightly below the top end at frontier AI labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) ($300k–$490k) and [OpenAI](https://jobsbyculture.com/companies/openai) ($350k–$550k). See our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

Is Runway remote-friendly?+

Yes, Runway is mostly [remote-friendly](https://jobsbyculture.com/values/remote) with strong async practices. The company is headquartered in New York City but supports remote work for many roles. However, some positions may have a preference for NYC-based candidates, and the New York HQ can mean fewer roles available outside the US. Check specific job listings for location requirements. Browse all [open Runway positions](https://jobsbyculture.com/jobs?company=runway) to see which roles offer remote flexibility.

---

## Document: Scale AI in 2026: Post-Wang Era, $500M Pentagon Deal & Culture Reality

# Scale AI in 2026: Post-Wang Era, $500M Pentagon Deal & Culture Reality

> Working at Scale AI in 2026: founder Alexandr Wang left for Meta, 14% layoffs, $500M Pentagon contract, 3.5 Glassdoor rating, and what 183 open roles mean for engineers.

Source: https://jobsbyculture.com/blog/working-at-scale-2026
Markdown: https://jobsbyculture.com/blog/working-at-scale-2026.md
Last updated: 2026-07-14

---
[Scale AI](https://jobsbyculture.com/companies/scale) is having the most consequential year of its existence. In June 2025, founder Alexandr Wang — who started the company at 19 and built it into a $29 billion AI data infrastructure powerhouse — left to run Meta's new Superintelligence Labs. Weeks later in July 2025, Scale laid off 14% of its workforce and cut 500 contractors. Then in May 2026, the Pentagon expanded Scale's defense contract from $100 million to $500 million.

These aren't independent events. They're the three acts of a company in radical transition: from a founder-led startup that sold data labeling to autonomous vehicle companies, to a Meta-backed, government-entangled AI infrastructure player with no founder at the helm. For the roughly 1,200 employees who remain — and the engineers considering one of 183 open roles — the question isn't whether Scale is interesting. It's whether this particular moment of institutional upheaval is one you want to walk into.

We pulled data from Scale's [company profile](https://jobsbyculture.com/companies/scale), employee reviews, compensation reports, and public filings to give you an honest assessment. Here's what we found.

## Scale AI at a Glance

Founded

2016

Headquarters

San Francisco, CA

Founder

Alexandr Wang (departed Jun 2025 for Meta)

Interim CEO

Jason Droege

Company Size

~1,200 employees

Valuation

~$29B (post-Meta investment)

Glassdoor Rating

3.5 / 5.0 (~500 reviews)

Work-Life Balance

2.7 / 5.0

Recommend to Friend

56%

Open Roles

180

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Product Impact](https://jobsbyculture.com/values/product-impact), [Learning](https://jobsbyculture.com/values/learning)

These numbers tell a complicated story. A 3.5 Glassdoor rating is below the median for companies in our [Culture Directory](https://jobsbyculture.com/companies). The 2.7 work-life balance score is one of the lowest we track. Only 56% of employees recommend the company to a friend. And yet: $29 billion valuation, $500 million in government contracts, and a hiring pipeline that's still running at 183 open positions. Scale is a company where the opportunity is enormous and the experience of actually working there divides opinion sharply.

## The Three Earthquakes of 2026

You can't understand what it's like to work at Scale right now without understanding the three events that reshaped the company in rapid succession.

### 1\. Alexandr Wang leaves for Meta

In June 2025, Meta completed a roughly $14.3 billion investment for a 49% stake in Scale AI. As part of the deal, founder and CEO Alexandr Wang departed to become Meta's Chief AI Officer, taking over Meta Superintelligence Labs — a new division absorbing Meta's AGI Foundations group. Scale remains an independent entity under interim CEO Jason Droege, but its founder, its cultural North Star, and the person who coined the company's internal mantra ("Why Not Faster?") now works at Meta.

For employees, this was seismic. Wang wasn't just a CEO — he was the youngest self-made billionaire in America and the gravitational center of Scale's identity. He hired directly, set the pace, and embodied the intensity that defined the culture. Multiple employee reviews describe the post-Wang era as "uncertain" and "disorienting," while others see it as an opportunity for the company to professionalize and build more sustainable management structures.

### 2\. The 14% layoff

In July 2025, weeks after Wang's departure, Scale cut 14% of its workforce (~200 FTEs) and ended contracts with 500 global contractors. Interim CEO Jason Droege's memo framed it as a restructuring: the generative AI business had "scaled too quickly," creating bureaucracy and confusion about the team's mission. A spokesperson clarified that the cuts were part of a pivot toward enterprise and government contracts, with plans to rehire hundreds of people for those efforts.

The layoffs hit the annotation and operations teams hardest. Engineering was less affected but not immune. For a company that had already been through workforce fluctuations — Scale's contractor workforce has always been large and volatile — this round felt different because it came alongside the founder's departure. The combination created a moment of genuine organizational anxiety.

### 3\. The $500M Pentagon contract

In May 2026, the Pentagon's Chief Digital and Artificial Intelligence Office (CDAO) expanded Scale's defense contract from $100 million to $500 million — a five-fold increase. The deal covers computer vision, generative AI decision support, and data operations for military planning and operations, all running through Scale's Donovan platform, which deploys AI agents on networks classified up to Top Secret.

This contract doesn't just change Scale's revenue mix. It changes the type of company Scale is becoming. Government AI work means security clearances, compliance overhead, slower iteration cycles, and a fundamentally different engineering culture than the move-fast startup ethos Wang built. Scale now has a 13-person Public Sector team and a separate Public Sector Engineering org with 13 more — and both are hiring aggressively.

$500M

Pentagon Contract Value

$29B

Company Valuation

180

Open Positions

## What the Culture Actually Feels Like

Scale's culture was always intense. Wang's "Why Not Faster?" wasn't aspirational — it was operational. Engineers were expected to own large surface areas, ship without heavy management scaffolding, and operate at a pace that felt more like a seed-stage startup than a company with 1,200 people. That intensity attracted a certain type of engineer: someone who wanted real ownership, wasn't fazed by ambiguity, and could thrive in an environment where the roadmap shifted quarterly.

Employee reviews describe this as both the best and worst thing about Scale. The people who love it talk about the sheer scope of what you can touch — RLHF data pipelines for [OpenAI](https://jobsbyculture.com/companies/openai), evaluation infrastructure for frontier AI models, computer vision systems for military applications. The people who struggle talk about the lack of process, inconsistent management quality, and a culture that can feel more competitive than collaborative.

Pro Reviewers cite the scope of impact — building AI data infrastructure used by OpenAI, Meta, Microsoft, and the US government.

Con Culture & Values rated 2.9/5 on Glassdoor — reviewers describe inconsistent management quality across teams, and the founder's departure has created real uncertainty.

The in-office culture is significant. Scale is headquartered on Market Street in San Francisco with a strong in-person expectation. AI Platform engineers are in-office 4–5 days a week, with some flexibility for focused remote days. This isn't a [remote-friendly](https://jobsbyculture.com/values/remote) company. Of the 183 open roles, 40 list "San Francisco, CA; New York, NY" as the location, 29 are SF-only, and 12 are in Washington, DC (government work). The international footprint includes London (9 roles) and Mexico City (8 roles).

## Glassdoor Ratings Breakdown

Scale's 3.5 overall Glassdoor rating, based on approximately 500 employee reviews, places it in the bottom third of the [118 companies in our directory](https://jobsbyculture.com/companies). For context, that's the same overall score as [Palantir](https://jobsbyculture.com/companies/palantir) — another company known for government work and intense culture — and well below peers like [Anthropic](https://jobsbyculture.com/companies/anthropic) (4.5) or [Databricks](https://jobsbyculture.com/companies/databricks) (4.2).

Overall Rating 3.5

Culture & Values 2.9

Work-Life Balance 2.7

Recommend to Friend 56%

The 2.7 work-life balance score is the most telling number. Among the companies we track, only a handful score lower. Multiple reviews describe 16-hour days during major client pushes, weekend work as routine rather than exceptional, and an expectation that engineers are "always on" during delivery cycles. This isn't a company that's accidentally intense — it's a company that selected for intensity and is now dealing with the consequences as it tries to scale beyond startup mode.

The 2.9 culture & values score is equally significant. It suggests that the internal experience hasn't kept pace with the external brand. When employees give a company below 3.0 on culture, it typically reflects not just unhappiness with specific policies but a disconnect between what the company says it values and how work actually gets done day to day.

## What Employees Actually Say

### What employees love

Pro Strong compensation — competitive base plus meaningful equity in a $29B company.

Pro Smart, driven coworkers solving genuinely hard problems — RLHF pipelines, LLM evaluation, military-grade AI deployment.

Pro Career growth in a rapidly expanding AI data market — sitting at the center of the AI infrastructure stack.

### What could be better

Con Work-life balance rated 2.7/5 — reviewers describe long hours during client deadlines and normalized weekend work.

Con Rapid scaling has created organizational growing pains — role confusion, overlapping teams, unclear ownership.

Con Contractor workforce dynamics add complexity — blurred lines between FTE and contractor work.

Con Post-Wang leadership transition has created uncertainty about company direction and cultural identity.

The pattern in the reviews is clear: Scale attracts talented engineers with enormous scope, pays them well, and then grinds them hard. The people who thrive are those who genuinely want to be in the trenches of AI infrastructure — building the data pipelines that train frontier models, creating evaluation frameworks that determine which AI systems are safe to deploy. The people who burn out are those who expected the intensity to be temporary rather than structural.

## Compensation & Total Comp

Scale pays competitively, particularly at senior levels. Compensation is one of the strongest arguments for joining, especially given the $29 billion valuation and the equity upside potential.

$225K

Senior Eng Base (L5)

$425K

Senior Eng Total Comp

$700K

Top Percentile TC

Employee-reported total compensation for software engineers ranges from approximately $226K at the 25th percentile to $699K at the 90th percentile. A senior engineer (L5) typically receives around $425K total comp with a $225K base salary, with equity forming a significant portion of the package. For context, that puts Scale roughly in line with [Databricks](https://jobsbyculture.com/companies/databricks) and above most non-frontier AI companies, though below the top tier of [Anthropic](https://jobsbyculture.com/companies/anthropic) ($300K–$490K) and [OpenAI](https://jobsbyculture.com/companies/openai) ($350K–$550K).

The equity component is the wild card. With Meta holding 49%, Scale's path to liquidity is unusual. It's not a traditional IPO candidate in the near term, and the governance structure — independent company with a near-majority investor who also employs the founder — creates questions about long-term equity value. Engineers who joined before the Meta deal may see their equity differently than those joining now. The $29 billion valuation means new hires get less equity-per-dollar than early employees did at lower valuations.

## Engineering at Scale: What You'd Actually Build

Scale's engineering org is organized around its major product lines, and the work is genuinely varied. Here's where the 183 open roles cluster:

-   **Enterprise Engineering (25 roles)** — Building the platform that enterprise customers (OpenAI, Meta, Microsoft) use for data labeling, RLHF, and model evaluation at massive scale
-   **Research (16 roles)** — LLM evaluation methodology, data quality metrics, and the science of what makes training data effective
-   **Human Frontier Collective (16 roles)** — Scale's network of expert annotators and the platforms they work on, focused on high-quality RLHF data
-   **Public Sector Engineering (13 roles)** — Building and deploying Scale Donovan, the platform that runs AI agents on classified government networks
-   **Gen AI Operations (13 roles)** — Operationalizing generative AI pipelines at scale — prompt engineering, quality assurance, and delivery management
-   **AVCV / Robotics (7 roles)** — The original autonomous vehicle computer vision work that Scale was founded on, now a smaller but still active division

Python TypeScript RLHF Pipelines LLM Evaluation Distributed Systems Computer Vision Kubernetes AWS

The technical challenges are real. Scale processes billions of data annotations. The evaluation infrastructure has to be trustworthy enough that AI labs use it to determine whether their models are safe to deploy. The Donovan platform has to meet military security standards while still being usable. These aren't vanity problems — they're infrastructure problems at the center of the AI industry.

The interview process reflects this intensity. The 2026 loop consists of six rounds: a recruiter screen (30 minutes), a coding screen (1 hour on HackerRank or live), and a four-round onsite covering two coding rounds (medium-to-hard DSA), one system design, one object-oriented design, and behavioral probing. Scale looks for engineers who can operate without heavy management, make decisions under ambiguity, and build systems that handle real-world messiness — not just clean algorithmic solutions. If you're preparing, our [Scale AI interview prep guide](https://jobsbyculture.com/blog/scale-ai-interview-prep-2026) covers the full process.

## The Government Work Question

For many engineers, the $500 million Pentagon contract is the elephant in the room. Scale Donovan deploys AI agents on networks classified up to Top Secret and Sensitive Compartmented Information. The work involves computer vision for military planning, generative AI decision support for operations, and data analysis for national security applications.

This is a meaningful cultural filter. Some engineers are drawn to defense work — it's high-impact, technically challenging, and well-funded. Others have ethical objections to building military AI, particularly in the current geopolitical climate. Scale doesn't hide this work; it's central to their growth strategy. The 183 open roles across Public Sector and Public Sector Engineering make that clear.

If you're considering Scale, you need to reckon with this honestly. Even if you join the Enterprise Engineering team building tools for OpenAI, you're working for a company whose largest single contract is with the Department of Defense. Your work may not directly touch classified systems, but it's part of the same organizational mission. For some people, that's a feature. For others, it's a dealbreaker. There's no wrong answer, but there's definitely a wrong time to figure this out — and that's after you've already joined.

## Who Should — and Shouldn't — Join Scale Right Now

### [Scale AI](https://jobsbyculture.com/companies/scale)

3.5 Glassdoor 183 Open Roles

**Consider joining if:** You want to be at the center of AI data infrastructure, are comfortable with organizational ambiguity, don't mind long hours, and see the post-Wang transition as an opportunity rather than a risk. The compensation is strong, the technical problems are genuinely hard, and the scale of impact (OpenAI, Meta, Pentagon) is unmatched.

**Think twice if:** You need strong work-life balance (2.7/5), consistent management (2.9/5 culture score), or cultural stability. The founder just left, the company just laid off 14% of staff, and the strategic direction is in active flux. If you need your employer to feel settled, Scale in 2026 is not your company.

[View full Scale AI culture profile →](https://jobsbyculture.com/companies/scale)

Scale is at an inflection point that could go either way. The Meta investment provides financial stability and customer access. The Pentagon contract provides revenue diversification. The remaining 1,200 employees include many strong engineers who chose to stay. But the company's identity is genuinely in flux. It's trying to be a startup, a government contractor, and a Meta subsidiary all at once — and those are three different companies with three different cultures.

For engineers who thrive in ambiguity, the next 12–18 months at Scale could be the most formative experience of their careers. For engineers who need stability, there are companies in our [Culture Directory](https://jobsbyculture.com/companies) with better Glassdoor scores, better work-life balance, and less existential uncertainty. Both choices are rational. Just make yours with open eyes.

### Explore Scale AI Opportunities

Browse all 183 open roles at Scale AI, from RLHF engineering to defense AI.

[Browse Scale AI Jobs →](https://jobsbyculture.com/jobs?company=scale) [View Culture Profile →](https://jobsbyculture.com/companies/scale)

## Frequently Asked Questions

Who runs Scale AI after Alexandr Wang left? +

Alexandr Wang departed Scale AI in early 2026 to lead Meta's Superintelligence Labs as Chief AI Officer, part of Meta's ~$14.3B investment deal. Scale AI is now led by an interim CEO and continues operating independently, though Meta holds a 49% stake in the company.

How many employees does Scale AI have in 2026? +

Scale AI has approximately 1,200 employees as of 2026. The company cut 14% of its workforce and ended contracts with 500 global contractors as part of a restructuring to focus on enterprise and government AI contracts.

What is Scale AI's Glassdoor rating? +

Scale AI has a 3.5 out of 5.0 Glassdoor rating based on approximately 500 reviews. Work-life balance is rated particularly low at 2.7/5, and culture & values scores 2.9/5. Only 56% of employees recommend working there.

What is Scale AI's $500 million Pentagon contract? +

In May 2026, the Pentagon's Chief Digital and Artificial Intelligence Office expanded Scale AI's defense contract from $100M to $500M. The deal covers computer vision, generative AI decision support, and data operations for military planning through Scale's Donovan platform.

What is the salary for engineers at Scale AI? +

Software engineer total compensation at Scale AI ranges from approximately $225K at the 25th percentile to $700K at the 90th percentile. A senior engineer (L5) typically receives around $425K total comp with a $225K base salary, with equity forming a significant portion of the package.

Is Scale AI a good place to work for engineers? +

Scale AI offers strong compensation, high-impact work on AI data infrastructure used by OpenAI, Meta, and the US military, and rapid career growth. However, it comes with trade-offs: a 2.7/5 work-life balance score, demanding hours, organizational growing pains from rapid scaling, and ongoing leadership transition after the founder's departure.

---

## Document: Scale AI Culture 2026: $29B Valuation, 2.7 Work-Life Balance — Is the Grind Worth It?

# Scale AI Culture 2026: $29B Valuation, 2.7 Work-Life Balance — Is the Grind Worth It?

> Scale AI is worth $29B but has a 2.7/5 work-life balance score — one of the lowest in AI. 1,200 employees, $300M+ DoD contracts, and what 400+ reviews say about the Alexandr Wang grind culture.

Source: https://jobsbyculture.com/blog/working-at-scale-ai-2026
Markdown: https://jobsbyculture.com/blog/working-at-scale-ai-2026.md
Last updated: 2026-07-14

---
[Scale AI](https://jobsbyculture.com/companies/scale) is one of the most important and most polarizing companies in the AI ecosystem. Founded in 2016 by Alexandr Wang when he was just 19 years old, Scale has grown from a data labeling startup into the infrastructure layer that powers the world's most capable AI models. OpenAI, Meta, Microsoft, and the U.S. Department of Defense all rely on Scale's data pipelines to train, evaluate, and deploy their AI systems.

**Important context for 2026:** In June 2025, Wang departed Scale to become Meta's Chief AI Officer (heading Meta Superintelligence Labs) as part of Meta's $14.3B investment for a 49% stake. Jason Droege is interim CEO. In July 2025, Scale laid off ~200 FTEs (14%) and cut 500 contractors. In May 2026, the Pentagon expanded Scale's defense contract from $100M to $500M. With a $29 billion valuation, ~$2 billion in projected 2026 revenue, and $500M+ in government contracts, Scale AI sits at the intersection of frontier AI and national security. But the Glassdoor numbers tell a different story than the headlines: a 3.5 overall rating, a brutal 2.7 work-life balance score, and a Culture & Values score of 3.1.

## Scale AI at a Glance

Founded

2016

Headquarters

San Francisco, CA (global operations)

Founder

Alexandr Wang (founded at age 19; departed Jun 2025 for Meta)

Interim CEO

Jason Droege

Company Size

~1,200 FTEs + 100,000+ contractors

Valuation

~$29B

Revenue

~$2B projected (2026)

Glassdoor Rating

3.5 / 5.0 (~406 reviews)

Work-Life Balance

2.7 / 5.0

CEO Approval

~60% (Alexandr Wang)

Recommend to Friend

56%

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Product Impact](https://jobsbyculture.com/values/product-impact), [Learning](https://jobsbyculture.com/values/learning), [Ship Fast](https://jobsbyculture.com/values/ship-fast)

Scale AI occupies a unique position in the AI landscape. It's not building the models — it's building the data infrastructure that makes the models possible. Among the companies in our [Culture Directory](https://jobsbyculture.com/companies), Scale stands out for the sheer scale of its impact on the AI industry, but also for its unusually low employee satisfaction scores. The 3.5 overall Glassdoor rating and 2.7 WLB score tell you this is a demanding, high-intensity environment. Whether that trade-off is worth it depends entirely on what you're optimizing for.

## The Scale AI Machine: What They Actually Do

Scale AI started as a data labeling company, but calling it that in 2026 is like calling Amazon a bookstore. The company has evolved into a full-stack AI data infrastructure platform with three major business lines.

**Data labeling and RLHF.** This is the foundation. Scale's army of 100,000+ contractors around the world labels images, annotates text, ranks model outputs, and provides the human feedback that powers RLHF (Reinforcement Learning from Human Feedback) — the technique that turned raw language models into useful assistants like ChatGPT. When OpenAI needed human evaluators to align GPT-4, they went to Scale. When Meta needed training data for Llama, they went to Scale.

**Model evaluation and testing.** Scale's evaluation platform (Scale EvalGen, Scale SEAL) helps companies benchmark their AI models against competitors, test for safety issues, and measure quality at scale. As AI regulation increases, the demand for rigorous third-party evaluation has exploded. Scale is positioning itself as the gold standard.

**Government AI.** This is the fastest-growing and most controversial segment. Scale has over $500 million in contracts with the U.S. Department of Defense (expanded from $100M in May 2026), including work with the Chief Digital and AI Office (CDAO) and the Thunderforge program. Before his departure to Meta, founder Alexandr Wang was vocal about the importance of AI superiority for national security, writing op-eds and speaking at defense conferences. For some employees, this is a source of pride. For others, it's a source of discomfort.

## The Alexandr Wang Legacy — and the Post-Wang Transition

You can't understand Scale AI without understanding its founder. Alexandr Wang dropped out of MIT at 19 to start the company. By 25, he was the world's youngest self-made billionaire. He is, by all accounts, extraordinarily driven, technically sharp, and deeply ambitious. He said in interviews that he wanted Scale to be "the most important company in AI" — before departing in June 2025 to lead Meta Superintelligence Labs as Meta's Chief AI Officer.

The Glassdoor reviews from Wang's tenure paint a more complicated picture. His CEO approval rating sits at roughly 60% — significantly lower than peers like Patrick Collison at Stripe (82%) or Dario Amodei at Anthropic (89%). Reviews are split between those who see a visionary founder with the conviction to make hard calls, and those who describe a leadership style that can feel top-down and chaotic. Under interim CEO Jason Droege, the company has begun a strategic pivot toward enterprise and government work.

Pro Reviewers describe Wang as extraordinarily smart and mission-driven — people felt they were working on something that mattered for the future of AI.

Con Reviewers describe frequent direction changes — strategy pivots, team reorgs, and an expectation to keep up without question.

The July 2025 layoffs — 200 FTEs and 500 contractors, a 14% reduction — also cast a shadow. Multiple Glassdoor reviews from that period describe the cuts as sudden, poorly communicated, and demoralizing. In a company that already ran lean and intense, losing 14% of headcount while revenue was growing felt to many employees like a signal that human capital is expendable when the numbers need to look right for investors.

## Glassdoor Deep Dive

Scale AI's Glassdoor profile is among the most revealing in our database. The 3.5 overall rating, based on approximately 406 reviews, places it well below the average for AI companies in our [directory](https://jobsbyculture.com/companies). But the sub-scores tell a more nuanced story.

Compensation & Benefits 3.9

Career Opportunities 3.7

Overall Rating 3.5

Culture & Values 3.1

Work-Life Balance 2.7

3.5 / 5

Overall Rating

56%

Recommend to Friend

~60%

CEO Approval

The pattern is clear: compensation is the bright spot (3.9), career opportunities are decent (3.7), but culture (3.1) and work-life balance (2.7) are well below average. The 56% recommendation rate means nearly half of employees would _not_ recommend Scale to a friend. That's a stark contrast to companies like [Anthropic](https://jobsbyculture.com/companies/anthropic) (89% recommend) or [Linear](https://jobsbyculture.com/companies/linear) (93% recommend).

## The Work-Life Balance Reality

Let's be direct: Scale AI's 2.7 work-life balance score is one of the lowest in our entire database. For context, the only companies that score comparably low on WLB are early-stage startups in hypergrowth mode. Scale is not an early-stage startup — it's a $29 billion company with 1,200 FTEs.

Con Reviewers describe minimal work-life balance — 16-hour days are common, weekends are expected, and there's an unspoken always-on culture.

Con Burnout is frequently cited in reviews — some employees leave after 12–18 months because the pace is unsustainable.

Con Reviewers say the expectation is total dedication — not a fit for those with significant life-outside-work commitments.

This is not a company that pretends to offer balance and fails to deliver. Scale AI is transparent about the intensity. The culture explicitly rewards long hours and availability. If you're the kind of person who draws energy from working on high-impact problems at breakneck speed, you may thrive here. But if you need boundaries between work and life, this environment will grind you down. The data is unambiguous.

For comparison, companies like [Notion](https://jobsbyculture.com/companies/notion) (4.2 WLB), [Linear](https://jobsbyculture.com/companies/linear) (4.4 WLB), or [HubSpot](https://jobsbyculture.com/companies/hubspot) (4.1 WLB) offer dramatically different experiences. See our [best AI companies for work-life balance](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026) rankings for the full picture.

## The Government Pivot

Scale AI's $300M+ in Department of Defense contracts represents one of the most significant strategic bets in the AI industry. While many AI companies have avoided or actively retreated from government work (Google famously pulled out of Project Maven in 2018), Scale has leaned in aggressively.

The Thunderforge program, Scale's work with the Chief Digital and AI Office, and its broader defense portfolio make it one of the most important AI contractors in the U.S. government's ecosystem. Wang has publicly argued that American AI companies have a patriotic obligation to ensure the U.S. maintains AI superiority, and he has put Scale's resources behind that belief.

For employees, this creates a cultural divide. Some are energized by the national security mission and see it as the most consequential application of AI. Others are uncomfortable with defense work and worry about the ethical implications. Glassdoor reviews reflect this split — the government pivot comes up frequently in both pros and cons.

Pro Many reviewers describe defense and government AI as genuinely important — problems that matter for national security rather than ad clicks.

Con Other reviewers describe the defense pivot as a change to the company's identity — some joined to advance AI research, not build tools for the military.

If you're considering Scale AI, the government work is not a side project you can ignore. It's a core part of the company's identity and revenue. Know where you stand on it before you apply.

## Compensation & Equity

Compensation is Scale AI's strongest Glassdoor sub-score at 3.9 out of 5.0, and for good reason. The company competes for talent against OpenAI, Anthropic, Google DeepMind, and other frontier AI organizations, and it has to pay accordingly.

At a $29 billion valuation — bolstered by Meta's massive $14.3 billion investment for a 49% stake — equity packages carry real weight. For employees who joined before the most recent valuation rounds, the paper gains have been substantial. Revenue has grown from $870 million in 2024 to a projected $2 billion in 2026, which suggests the valuation is backed by genuine business momentum rather than just hype.

Pro Reviewers describe compensation as competitive with top AI companies — strong base, with meaningful equity given the growth trajectory.

The trade-off is that you earn every dollar. Given the 2.7 WLB score and the intensity of the culture, the hourly effective rate may not look as impressive as the annual total comp number suggests. Several Glassdoor reviewers make this exact point: the pay is good, but when you factor in the hours, it's less differentiated than it appears on paper.

## Who Thrives at Scale AI

Scale AI is a self-selecting environment, and it works best for a specific type of person. Based on the culture signals, Glassdoor data, and the company's trajectory, here's who tends to do well:

-   **AI infrastructure obsessives.** If you want to work at the exact center of how frontier AI models get built — the data, the evaluation, the feedback loops — there is no better vantage point than Scale. You'll interact with every major AI lab's training pipeline.
-   **People who don't mind (or actively want) long hours.** This is not a place for people who want to clock out at 6pm. If you find deep satisfaction in working intensely on hard problems and don't need firm boundaries between work and life, the pace won't bother you. If you do, it will break you.
-   **Those drawn to the defense mission.** If you believe American AI superiority is important and want to contribute directly through government and defense contracts, Scale gives you a direct path to that work. Few companies in the AI space are as committed to this mission.
-   **Early-career engineers seeking rapid growth.** Despite the intensity, Scale's Career Opportunities score (3.7) is decent, and multiple reviews mention that you learn fast because you're thrown into deep water. The [learning curve](https://jobsbyculture.com/values/learning) is steep, but if you survive it, you come out significantly more capable.
-   **People who want [product impact](https://jobsbyculture.com/values/product-impact) at scale.** Scale's products touch the most important AI systems in the world. If seeing your work deployed at that level of impact motivates you, the intensity feels purposeful rather than arbitrary.

Scale AI is _not_ ideal for people who prioritize [work-life balance](https://jobsbyculture.com/values/wlb), who want a stable and predictable environment (strategy pivots are frequent), or who are uncomfortable with defense and government work. The 56% recommendation rate means this company genuinely isn't for everyone — and that's not a criticism, it's just the reality. Go in with open eyes.

## Open Positions at Scale AI

Scale AI currently has **183 open positions** listed on our platform, spanning engineering, machine learning, product, and operations roles. The company is hiring actively despite the July 2025 layoffs, which suggests a strategic reshuffling rather than a contraction — cutting in some areas while doubling down in others (particularly government AI and model evaluation).

For full details on Scale AI's open roles, culture values, and side-by-side comparisons with other companies, visit the [Scale AI culture profile page](https://jobsbyculture.com/companies/scale).

## Frequently Asked Questions About Working at Scale AI

What is Scale AI's Glassdoor rating?+

Scale AI has a 3.5 out of 5.0 overall Glassdoor rating based on approximately 406 reviews. Compensation is the highest-rated category at 3.9/5, while Work-Life Balance is the lowest at 2.7/5 — one of the lowest WLB scores across all companies in our [directory](https://jobsbyculture.com/companies). Only 56% of employees recommend Scale AI to a friend. See our [full Scale AI culture profile](https://jobsbyculture.com/companies/scale) for the complete breakdown.

How many employees does Scale AI have?+

Scale AI has approximately 1,200 full-time employees as of 2026, plus over 100,000 contractors globally who perform data labeling and annotation work. The company cut about 200 FTEs and 500 contractors in July 2025, representing a 14% reduction in full-time headcount. Despite the layoffs, the company is actively hiring with 183 open positions. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Scale AI's work-life balance like?+

Scale AI's work-life balance is rated 2.7 out of 5.0 on Glassdoor — one of the lowest WLB scores in our entire directory. Multiple reviews describe 16+ hour days, weekend work expectations, and an always-on culture. Burnout is frequently mentioned as a concern. If work-life balance is a priority, consider companies like [Notion](https://jobsbyculture.com/companies/notion) (4.2 WLB), [Linear](https://jobsbyculture.com/companies/linear) (4.4 WLB), or [HubSpot](https://jobsbyculture.com/companies/hubspot) (4.1 WLB) instead. See our [WLB rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026).

What is Scale AI's valuation in 2026?+

Scale AI is valued at approximately $29 billion as of 2026. Meta invested $14.3 billion for a 49% stake, making it one of the most valuable private AI companies in the world. Revenue has grown from $870 million in 2024 to a projected $2 billion in 2026, with $1.5 billion ARR reached by end of 2025. The company's growth is driven by data labeling for frontier AI models, model evaluation, and over $300 million in U.S. Department of Defense contracts.

Does Scale AI do government and defense work?+

Yes, significantly. Scale AI has over $500 million in contracts with the U.S. Department of Defense (expanded from $100M to $500M in May 2026), including work with the Chief Digital and AI Office (CDAO) and the Thunderforge program. Before his June 2025 departure to Meta, founder Alexandr Wang was outspoken about the importance of American AI superiority for national security. Government AI is one of Scale's fastest-growing business segments and a core part of the company's identity — not a side project.

What is Scale AI's compensation like?+

Scale AI's compensation is rated 3.9 out of 5.0 on Glassdoor — the highest sub-score in its profile. The company competes for talent with frontier AI labs like [OpenAI](https://jobsbyculture.com/companies/openai) and [Anthropic](https://jobsbyculture.com/companies/anthropic), so total compensation for engineering roles is competitive with the broader AI market. At a $29 billion valuation with strong revenue growth, equity packages carry significant upside. However, some reviewers note that when you factor in the long hours (2.7 WLB), the effective hourly rate is less impressive than the annual number suggests. See our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

### Explore Scale AI's 183 open positions

See Scale AI's roles alongside jobs from companies like Anthropic, OpenAI, Stripe, and more — all with culture context.

[View Scale AI Jobs →](https://jobsbyculture.com/jobs?company=scale) [Scale AI Culture Profile →](https://jobsbyculture.com/companies/scale)

---

## Document: Working at Sierra in 2026: Bret Taylor's $15B AI Agent Company — Culture, Comp & What Employees Say

# Working at Sierra in 2026: Bret Taylor's $15B AI Agent Company — Culture, Comp & What Employees Say

> Inside Sierra in 2026: Bret Taylor

Source: https://jobsbyculture.com/blog/working-at-sierra-2026
Markdown: https://jobsbyculture.com/blog/working-at-sierra-2026.md
Last updated: 2026-07-14

---
[Sierra](https://jobsbyculture.com/companies/sierra) is not a typical AI startup. Co-founded in 2023 by Bret Taylor — former co-CEO of Salesforce, co-creator of Google Maps, CTO of Facebook, and current chair of OpenAI's board — and Clay Bavor, who spent 18 years at Google leading Labs, AR/VR, and Workspace, Sierra had a pedigree from day one that most companies spend decades building. In just two years, it has become one of the most valuable private AI companies on the planet.

In May 2026, Sierra raised $950 million at a $15.8 billion valuation, led by Tiger Global and Google's GV, with Benchmark, Sequoia, and Greenoaks participating. The company has crossed $150 million in annual recurring revenue in eight quarters — a growth trajectory that puts it alongside the fastest enterprise software ramps in history. More than 40% of the Fortune 50 are Sierra customers. And the company has completed three acquisitions in early 2026 alone: Receptive AI (voice technology), Opera Tech (Tokyo-based enterprise AI), and Fragment (a YC-backed French AI workflow startup).

But behind the funding headlines, what is it actually like to work at Sierra? We analyzed employee reviews, compensation data, and the company's culture signals to give you an honest picture of Sierra as an employer in 2026 — the intensity, the opportunity, and the trade-offs.

## Sierra at a Glance

Founded

2023

Headquarters

San Francisco, CA

Founders

Bret Taylor & Clay Bavor

Company Size

~500–600 employees

Valuation

$15.8B (May 2026)

Revenue

$150M+ ARR

Glassdoor Rating

4.8 / 5.0 (13 reviews)\*

Work-Life Balance

3.5 / 5.0

Recommend to Friend

100%

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Strong Equity](https://jobsbyculture.com/values/equity), [Learning](https://jobsbyculture.com/values/learning)

_\*Note: Sierra's Glassdoor rating is based on only 13 reviews, which means it should be taken with significant caution. Early-stage company ratings tend to skew high and typically settle lower as the company scales. We use a verified 4.0 in our [culture profile](https://jobsbyculture.com/companies/sierra) as a more conservative baseline._

## What Makes Sierra Different

Most enterprise AI companies are building copilots — tools that assist humans. Sierra is building autonomous agents that _replace_ entire workflows. Their platform enables companies to deploy AI agents that handle customer interactions end-to-end: processing insurance claims, managing returns at retail brands, refinancing mortgages, even powering nonprofit fundraising campaigns. Customers like ADT, SoFi, Ramp, Rivian, Discord, Deliveroo, and SiriusXM aren't experimenting — they're running Sierra agents in production at scale.

This matters for employees because it means the work has immediate, tangible [product impact](https://jobsbyculture.com/values/product-impact). An engineer at Sierra isn't building a demo or a feature that might ship someday. They're building systems that handle billions of real customer interactions. When your agent resolves a claim for a Cigna policyholder or helps a Rivian owner schedule service, the feedback loop is concrete and fast.

The other differentiator is the technical architecture. Sierra doesn't bet on a single LLM provider. The platform uses a "constellation of models" — foundational models from OpenAI and Anthropic layered with Sierra's own fine-tuned proprietary models. This model-agnostic approach is technically complex but gives Sierra's agents capabilities that single-model solutions can't match: more reliable reasoning, better domain adaptation, and the ability to switch providers based on the task.

Pro Founders bring deep technical and business backgrounds — reviewers cite learning directly from leaders who built Google Maps and led Salesforce.

## Culture: Competitive Intensity Meets Craftsmanship

Sierra's stated values are Trust, Customer Obsession, Craftsmanship, Competitive Intensity, and Family. The "Competitive Intensity" one stands out — it's not a value you see at many companies, and it signals something important about the culture. Sierra is not a place where you coast. The company has achieved $150M+ ARR in under two years because every team operates with urgency.

The company is in-person first, based in San Francisco. Their own language about this is direct: "Working side by side helps us move faster and solve harder problems." If you're looking for [remote work](https://jobsbyculture.com/values/remote), Sierra is not the right fit — consider [Notion](https://jobsbyculture.com/companies/notion), [GitLab](https://jobsbyculture.com/companies/gitlab), or [Vercel](https://jobsbyculture.com/companies/vercel) instead.

What employees consistently praise is the caliber of the team. When your co-founders include the chair of OpenAI's board and a Google Labs veteran, they attract a certain type of person. Multiple reviewers describe colleagues as "the sharpest people they've ever worked with." The engineering team skews senior, which means less mentoring infrastructure but more opportunity to work alongside people who've already built systems at massive scale.

The "Family" value translates into a culture that, despite the intensity, tries to maintain personal connections. Sierra's benefits include generous parental leave, fertility support, and a flexible personal stipend that employees can use however they see fit — rather than prescriptive perks like gym memberships, they trust people to decide what makes their work life better.

Pro Startup velocity with enterprise customers — engineers ship code that Fortune 50 customers depend on within weeks of joining.

## Glassdoor Ratings: The Small-Sample Caveat

Sierra's Glassdoor data paints an extremely positive picture, but the sample size demands caution. With only 13 reviews and a 4.8 overall rating, the numbers are more directional than definitive. For context, most companies in our [directory](https://jobsbyculture.com/companies) have hundreds or thousands of reviews. We use 4.0 as our baseline rating for Sierra to account for the inevitable regression as the company grows.

Here's what the available data shows:

Overall Rating 4.8

Work-Life Balance 4.6

Recommend to Friend 100%

The 4.6 work-life balance rating on Glassdoor conflicts with what reviewers actually describe. Several notes explicitly say "don't expect this to be a chill 10–4 tech job." Our verified WLB score is 3.5/5, which reflects the reality that Sierra operates at startup intensity with enterprise-grade stakes. This discrepancy is common in early-stage companies where the reviewers self-select — people who love the intensity rate WLB highly because they enjoy the pace; people who would rate it lower often don't stay long enough to leave a review.

## What Employees Actually Say

### What employees love

Pro Elite founders with proven track records — reviewers cite learning from people who built the biggest products in tech.

Pro Strong equity at a $15.8B valuation backed by real revenue rather than future projections.

Pro Real customer impact from day one — Fortune 50 companies depend on what you build.

Pro Small enough to have real ownership, well-funded enough to actually execute.

The consistent theme is a rare combination: the resources and customer base of a late-stage company with the ownership and speed of an early-stage one. Sierra's $150M+ ARR and Fortune 50 customers mean the equity isn't speculative — it's backed by real, growing revenue. For engineers who've been burned by startups that never found product-market fit, this is a meaningful distinction.

### What could be better

Con In-person-first culture in San Francisco — not an option for remote engineers.

Con "Competitive Intensity" is an explicit Sierra value — the pace won't suit everyone.

Con Rapidly scaling org — roles and processes are evolving constantly, and ambiguity is the norm.

Con Limited public track record — only 13 Glassdoor reviews make external evaluation harder.

The cons center on intensity and ambiguity. Sierra is doubling its headcount while simultaneously closing enterprise deals, making acquisitions, and shipping product. That creates the kind of organizational chaos that some people thrive in and others find exhausting. The in-person requirement also narrows the talent pool significantly in a market where many top engineers expect remote flexibility.

## Compensation & Benefits

Sierra pays at the upper end of the market — a necessary strategy for a company competing for AI talent against [Anthropic](https://jobsbyculture.com/companies/anthropic), [OpenAI](https://jobsbyculture.com/companies/openai), and [DeepMind](https://jobsbyculture.com/companies/deepmind). Verified compensation data shows total packages for software engineers ranging from approximately $200k at entry level to $460k+ at senior levels, with the median sitting around $460k. In the San Francisco Bay Area, senior engineers can exceed $520k in total compensation.

$460k

Median Engineer TC

$15.8B

Valuation (May 2026)

$150M+

Annual Recurring Revenue

The equity component is particularly interesting. At a $15.8 billion valuation with $150M+ in ARR growing rapidly, Sierra's equity is backed by real revenue — not future projections. The company's growth trajectory (eight quarters from founding to $150M ARR) puts it in the same league as the fastest enterprise ramps in history. For employees who joined earlier at lower valuations, the upside has already been substantial. For new hires, the equity still has room to run if Sierra's revenue growth continues.

Benefits include top-tier health and life insurance, 401(k) with company match, generous parental leave, fertility benefits, and a flexible annual stipend. Rather than choosing your perks from a menu, Sierra gives you budget to spend on whatever improves your work life.

For a detailed comparison of how Sierra's comp stacks up against other AI companies, see our [highest-paying AI companies ranking](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

## Engineering Culture & What You'll Build

Sierra's engineering challenges are genuinely hard. Building autonomous agents that enterprises trust with real customer interactions — mortgages, insurance claims, financial transactions — requires a level of reliability, safety, and reasoning that's well beyond chatbot territory. The platform must handle ambiguous multi-turn conversations, integrate with enterprise backends, maintain context across complex workflows, and do all of this while being auditable and compliant.

### Tech Stack

Python TypeScript LLM Orchestration Multi-Model Architecture Enterprise APIs

Sierra's core engineering work spans several domains:

-   **Agent reasoning and orchestration.** Building the "constellation of models" architecture that routes different parts of a conversation to different LLMs based on task requirements. This includes fine-tuning proprietary models on top of OpenAI and Anthropic foundations.
-   **Enterprise integration.** Every customer deployment requires deep integration with existing CRM, ERP, and backend systems. The agents need to actually process returns, update accounts, and trigger real-world workflows — not just generate text.
-   **Safety and trust.** When an AI agent is handling a mortgage refinancing or an insurance claim, the cost of a wrong answer is measured in dollars and lawsuits, not just user frustration. Sierra invests heavily in guardrails, monitoring, and human escalation paths.
-   **Scale and reliability.** Sierra's agents handle billions of interactions. The infrastructure needs to be as reliable as the enterprise systems it connects to.
-   **Voice and multimodal.** The Receptive AI acquisition signals Sierra's push into voice agents — adding real-time voice interaction to the existing text-based platform.

The engineering team is [engineering-driven](https://jobsbyculture.com/values/eng-driven) in the truest sense — with two deeply technical co-founders, engineers have real influence over product direction. This isn't a company where product managers hand engineers specs to build. The [ship-fast](https://jobsbyculture.com/values/ship-fast) culture means short cycles from idea to production, but the enterprise context demands that speed doesn't compromise quality.

## Who Thrives at Sierra

Sierra's culture rewards specific traits. Based on employee reviews, company signals, and the demands of the work, here's who fits:

-   **People who want founder-caliber mentorship.** Working under Bret Taylor and Clay Bavor — who between them built Google Maps, ran Salesforce, and led Google Labs — is a career accelerant. If you value [learning from exceptional leaders](https://jobsbyculture.com/values/learning), this is hard to beat.
-   **Engineers who crave ambiguity.** Roles at Sierra are evolving constantly. The company doubled its headcount and made three acquisitions in under a year. If you need a clearly defined role with stable processes, this isn't it. If you like building the plane while flying it, you'll feel at home.
-   **People motivated by real revenue and real customers.** Sierra's Fortune 50 customer base means your work has visible, immediate impact. The agents you build handle real transactions for real people. If that motivates you more than building internal tools or speculative research, Sierra is compelling.
-   **Competitive, high-output individuals.** "Competitive Intensity" is literally a company value. This is a culture that celebrates winning deals, shipping fast, and outperforming. If you're energized by that, great. If you find it exhausting, consider companies with stronger [work-life balance](https://jobsbyculture.com/values/wlb) signals like [Linear](https://jobsbyculture.com/companies/linear) (4.4) or [Notion](https://jobsbyculture.com/companies/notion) (4.5).

Sierra is _not_ ideal for people who want remote work, predictable hours, or a mature company with well-defined career ladders. It's a rocket ship with all the turbulence that implies. The equity upside, the leadership quality, and the technical challenges make the trade-off worth it for many — but go in with your eyes open.

## Open Positions at Sierra

Sierra currently has **158 open positions** across engineering, product, sales, and operations, all based in San Francisco. The company is actively scaling after its $950M raise, and the three recent acquisitions (Receptive AI, Opera Tech, Fragment) have opened new engineering domains in voice AI, international enterprise deployment, and workflow orchestration.

For full details on Sierra's open roles, culture values, and side-by-side comparisons with other AI companies, visit the [Sierra culture profile page](https://jobsbyculture.com/companies/sierra).

## Frequently Asked Questions About Working at Sierra

How many employees does Sierra have in 2026?+

Sierra has approximately 500–600 employees as of mid-2026. The company doubled its headcount in 2025 and has continued aggressive hiring, with 158 open roles currently listed. Three acquisitions in early 2026 — Receptive AI, Opera Tech, and Fragment — also added to the team. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Sierra's Glassdoor rating?+

Sierra has a 4.8 out of 5.0 Glassdoor rating based on just 13 reviews, with 100% recommending to a friend. Work-life balance is rated 4.6/5 on Glassdoor, though our verified baseline is 3.5/5 to account for the small sample size and self-selection bias. The rating will likely settle lower as the company scales. See our [full Sierra culture profile](https://jobsbyculture.com/companies/sierra).

What is Sierra's compensation for engineers?+

Total compensation for software engineers at Sierra ranges from approximately $200k to $460k+ depending on level, with median total comp around $460k. Senior engineers in San Francisco can exceed $520k in total compensation. Sierra also offers strong equity at a $15.8B valuation, 401(k) with match, generous parental leave, and a flexible personal stipend. See our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

Who founded Sierra?+

Sierra was co-founded by Bret Taylor and Clay Bavor. Bret was previously co-CEO of Salesforce, founded Quip, was CTO of Facebook, and co-created Google Maps. He currently chairs the OpenAI board. Clay Bavor spent 18 years at Google, where he led Google Labs, pioneered AR/VR, and led product and design for Google Workspace.

Is Sierra remote-friendly?+

No. Sierra is primarily an in-person company headquartered in San Francisco. The company explicitly values in-office collaboration and most roles require physical presence. If remote work is a priority, consider companies with strong [remote-friendly cultures](https://jobsbyculture.com/values/remote) like [Notion](https://jobsbyculture.com/companies/notion), [GitLab](https://jobsbyculture.com/companies/gitlab), or [Vercel](https://jobsbyculture.com/companies/vercel) from our [directory](https://jobsbyculture.com/companies).

What does Sierra build?+

Sierra builds autonomous AI agents for enterprises. Their platform enables companies to deploy conversational AI agents that handle real customer interactions — processing insurance claims, managing returns, refinancing mortgages, and more. Over 40% of the Fortune 50 are customers, including ADT, SoFi, Ramp, Rivian, Discord, Deliveroo, Cigna, and SiriusXM. Sierra uses a model-agnostic architecture combining OpenAI, Anthropic, and proprietary fine-tuned models.

### Explore Sierra's 158 open roles

See all Sierra positions alongside 13,906 jobs from 118 companies — all with culture context.

[View Sierra Profile →](https://jobsbyculture.com/companies/sierra) [Browse Sierra Jobs →](https://jobsbyculture.com/jobs?company=sierra)

---

## Document: Snowflake in 2026: 9,000 Employees, $361k Median Eng Comp & Culture

# Snowflake in 2026: 9,000 Employees, $361k Median Eng Comp & Culture

> Working at Snowflake in 2026: 9,000 employees, 3.7 Glassdoor rating, $237k-$700k+ engineer comp, and what the data cloud culture is really like from the inside.

Source: https://jobsbyculture.com/blog/working-at-snowflake-2026
Markdown: https://jobsbyculture.com/blog/working-at-snowflake-2026.md
Last updated: 2026-07-14

---
[Snowflake](https://jobsbyculture.com/companies/snowflake) is one of the defining infrastructure companies of the cloud era. Founded in 2012 by Benoit Dageville, Thierry Cruanes, and Marcin Zukowski, it reimagined data warehousing by separating compute from storage — a deceptively simple idea that created one of the largest enterprise software companies in the world. Now public (NYSE: SNOW) with a market cap around $80–90 billion as of mid-2026, Snowflake sits at the center of every serious data strategy.

But what is it actually like to work there? We pulled data from Snowflake's [company profile](https://jobsbyculture.com/companies/snowflake), over 1,000 employee reviews, and public compensation data to give you an honest picture of Snowflake as an employer in 2026. Whether you're evaluating an offer, preparing for an interview, or weighing it against other data infrastructure companies, here's what you need to know.

## Snowflake at a Glance

Founded

2012

Headquarters

Menlo Park, CA

Company Size

~9,060 employees

Public Company

NYSE: SNOW

Glassdoor Rating

3.7 / 5.0 (1,018 reviews)

Work-Life Balance

3.3 / 5.0

Recommend to Friend

69%

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Equity](https://jobsbyculture.com/values/equity), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Learning](https://jobsbyculture.com/values/learning)

Snowflake occupies a specific niche in our [Culture Directory](https://jobsbyculture.com/companies): it's a large, public company that still pays like a high-growth startup. The median engineer comp of $361k places it among the top-paying companies in our database. But that compensation comes with expectations — a performance-driven culture where the bar is high and the pace is relentless.

## What Makes Snowflake's Culture Different

If you ask Snowflake employees what defines the culture, you'll hear one word more than any other: performance. This is a company built by database engineers who believe in technical excellence, and that mindset permeates everything. Under former CEO Frank Slootman (who stepped down in early 2024 and was succeeded by Sridhar Ramaswamy), the culture became famously results-oriented — metrics-driven, high-accountability, and unabashedly competitive.

The engineering organization is the beating heart of the company and the largest single functional group. This isn't a company where engineering is a cost center — it's the product. Engineers work on genuinely hard problems: distributed query optimization across multiple cloud providers, real-time data sharing, and the kind of infrastructure challenges that only emerge at massive scale. (In March 2026, the company eliminated its ~70-person technical writing and documentation team as part of a strategic shift toward AI-generated documentation tied to its OpenAI partnership.)

Pro Reviewers describe a strong engineering team, respectful work culture, and meaningful autonomy to do great work.

The second defining characteristic is the go-to-market machine. Snowflake's sales organization is one of the most aggressive in enterprise software, and this energy spills into the engineering culture. There's a palpable sense of urgency — features ship because customers need them, not because the roadmap says so. For engineers who want their work to have immediate business impact, this is energizing. For those who prefer to work at their own pace, it can feel like constant pressure.

Con Reviewers describe relentlessly rising performance metrics and comparisons to peers working 60–80 hour weeks — work-life balance is not seen as valued.

The cultural shift since the CEO transition has been notable. Sridhar Ramaswamy, coming from Google and a background in AI and search, has pushed Snowflake deeper into AI/ML workloads, Cortex AI, and intelligent data applications. Some employees see this as an exciting evolution; others feel the cultural identity is in flux. Reviews from 2025-2026 reflect this tension, with some praising renewed innovation and others mourning what they describe as cultural drift.

## Glassdoor Ratings Breakdown

Snowflake's overall Glassdoor rating of 3.7 out of 5.0, based on over 1,000 reviews, tells a story of a company with outstanding strengths and real trade-offs. The compensation is excellent; the work-life balance is not.

Compensation & Benefits 4.2

Overall Rating 3.7

Culture & Values 3.5

Career Opportunities 3.5

Work-Life Balance 3.3

The pattern is clear: Snowflake leads with compensation (4.2) but lags on balance (3.3). For software engineers specifically, the WLB score drops to 2.9/5 — among the lower scores in our database. This places Snowflake in a different category than companies like [Spotify](https://jobsbyculture.com/companies/spotify) (4.3 WLB), [Notion](https://jobsbyculture.com/companies/notion) (4.2), or [HubSpot](https://jobsbyculture.com/companies/hubspot) (4.1). If work-life balance is your top criterion, Snowflake is likely not the right fit. If outsized compensation and hard technical problems are what drive you, it's one of the best options in the market.

## Compensation & Equity

$361k

Median Engineer TC

4.2 / 5

Comp & Benefits Rating

69%

Recommend to Friend

Snowflake pays among the best in the data infrastructure space. The median total compensation for software engineers is $361,000, with the range spanning from ~$237k at entry levels to $700k+ at senior and staff levels. This places Snowflake in the same compensation tier as companies like [Stripe](https://jobsbyculture.com/companies/stripe) and [Databricks](https://jobsbyculture.com/companies/databricks), and ahead of most enterprise software companies.

As a public company, equity comes in the form of RSUs tied to SNOW stock. The stock has been volatile — peaking near $400 in late 2021, dropping below $120 in 2023, and recovering significantly since. For employees who joined during the dip, the equity upside has been meaningful. The vesting schedule and refresh grants are competitive with other large tech companies.

Benefits include comprehensive healthcare, generous PTO, and 401(k) matching. The company operates offices in Menlo Park, San Mateo, Bellevue, and other locations globally, with some remote flexibility depending on team and role.

## Engineering Culture & Tech Stack

### Tech Stack

C++ Java Python Go SQL

Snowflake's core query engine is written in C++ — it's a from-scratch distributed database, not a wrapper around existing open-source technology. This is one of the key differentiators for engineers: you're working on a proprietary system that processes petabytes of data across AWS, Azure, and GCP simultaneously. The technical problems are genuinely novel.

### How engineering works at Snowflake

-   **Systems-level challenges.** Query optimization, distributed transactions, cross-cloud data replication, and real-time data sharing. These aren't CRUD app problems — they're the kind of distributed systems challenges that academic papers are written about.
-   **AI/ML expansion under new leadership.** Snowflake Cortex, the company's AI layer, is a major investment area. Engineers are building LLM-powered features directly into the data platform — search, summarization, and intelligent analysis that run where the data lives.
-   **High ownership, high accountability.** Engineers own their systems end-to-end. The performance-driven culture means your work is visible and measured. High performers are rewarded generously; underperformance is addressed directly.
-   **Scale that matters.** Snowflake processes workloads for thousands of enterprise customers including many Fortune 500 companies. The scale of the infrastructure is genuinely massive, and the reliability requirements are demanding.

## Who Thrives at Snowflake

Snowflake is not for everyone, and the company doesn't pretend otherwise. Based on employee reviews, compensation data, and the culture signals, here's who tends to do well:

-   **Systems engineers who love hard problems.** If you get excited about distributed query engines, cross-cloud architecture, and performance optimization at scale, Snowflake is one of the best places to do that work. The technical challenges are real.
-   **Competitive, high-output people.** The performance culture rewards those who thrive under pressure and want to be measured on impact. If you're the type who wants clear metrics and direct feedback, you'll appreciate the clarity.
-   **Compensation-motivated engineers.** With a $361k median and $700k+ at senior levels, Snowflake is one of the highest-paying companies outside of frontier AI labs. If maximizing total comp is a priority, the numbers speak for themselves.
-   **People who want public-company stability with startup energy.** Snowflake is public and profitable, with the financial stability that implies. But the culture still has startup intensity and urgency that keeps things moving fast.

Snowflake is _not_ ideal for people who prioritize [work-life balance](https://jobsbyculture.com/values/wlb) (3.3/5), those who want a relaxed pace, or engineers who prefer deep research over product-driven development. The 60-80 hour weeks mentioned in reviews aren't universal, but they're not uncommon either. If balance matters more than comp, consider [Spotify](https://jobsbyculture.com/companies/spotify) (4.3 WLB), [PostHog](https://jobsbyculture.com/companies/posthog) (4.6), or [Linear](https://jobsbyculture.com/companies/linear) (4.4) instead.

## Open Positions at Snowflake

Snowflake currently has **417 open positions** listed on our platform, spanning engineering, data science, sales, and product roles across Menlo Park, San Mateo, Bellevue, and global offices. The company is actively hiring across its Cortex AI platform, core database engine, and go-to-market teams.

For full details on Snowflake's open roles, culture values, and side-by-side comparisons with other companies, visit the [Snowflake culture profile page](https://jobsbyculture.com/companies/snowflake).

## Frequently Asked Questions About Working at Snowflake

How many employees does Snowflake have in 2026?+

Snowflake has approximately 9,060 employees as of 2026, a 15.65% increase from 2025. Engineering is the largest single department. In March 2026, the company eliminated its ~70-person technical writing and documentation team as part of a strategic shift toward AI-generated docs. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Snowflake's Glassdoor rating in 2026?+

Snowflake has a 3.7 out of 5.0 overall Glassdoor rating based on over 1,000 reviews. Compensation & Benefits is the highest-rated category at 4.2/5, while Work-Life Balance is the lowest at 3.3/5. 69% of employees recommend working there. See our [full Snowflake culture profile](https://jobsbyculture.com/companies/snowflake) for the complete breakdown.

What is the average software engineer salary at Snowflake?+

The median total compensation for software engineers at Snowflake is $361,000 per year. The range spans from approximately $237,000 at the 25th percentile to $700,000+ at senior and staff levels. This includes base salary, RSUs (SNOW stock), and bonus. For context, see our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

What is Snowflake's engineering culture like?+

Snowflake has a performance-driven engineering culture centered on hard technical problems. The core query engine is written in C++ from scratch (not a wrapper around open-source tools). Engineers work on distributed systems, query optimization, and cross-cloud infrastructure. The pace is fast and accountability is high. Work-life balance for engineers is rated 2.9/5, reflecting the demanding standards.

Is Snowflake a good company to work for?+

It depends on your priorities. Snowflake pays extremely well (comp rated 4.2/5), offers genuinely challenging technical work on a proprietary distributed database, and provides public-company stability. However, work-life balance is 3.3/5 overall and 2.9/5 for engineers. The culture is performance-driven with high expectations. If you thrive under pressure and want top compensation, it's excellent. If balance is your priority, consider alternatives.

Does Snowflake have a return-to-office policy?+

Snowflake operates a hybrid model with offices in Menlo Park, San Mateo, Bellevue, and other global locations. Many engineering roles expect in-office presence, though some remote positions exist. The company emphasizes in-person collaboration for core engineering teams. Check specific job listings on our [Snowflake jobs page](https://jobsbyculture.com/jobs?company=snowflake) for remote availability.

### Browse all Snowflake jobs & 12,896 more

See Snowflake's 417 open roles alongside jobs from companies like Databricks, Stripe, Anthropic, and more — all with culture context.

[View Snowflake Jobs →](https://jobsbyculture.com/companies/snowflake) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Spotify Engineering Culture 2026: 'Work From Anywhere', 7,300 Employees & Real Salary Data

# Spotify Engineering Culture 2026: 'Work From Anywhere', 7,300 Employees & Real Salary Data

> Spotify

Source: https://jobsbyculture.com/blog/working-at-spotify-2026
Markdown: https://jobsbyculture.com/blog/working-at-spotify-2026.md
Last updated: 2026-07-14

---
Here is a paradox that shouldn’t exist: Spotify is one of the largest consumer tech companies in the world — 600 million monthly active users, 220 million paid subscribers, a public listing on the NYSE — and yet employees consistently describe it as a place where you can log off at a reasonable hour, work from wherever you want, and maintain genuine boundaries between your job and the rest of your life. The Work-Life Balance Glassdoor score of 4.3 out of 5 is not a rounding error. It is the single highest-rated dimension of working at Spotify, and it has held steady even through the turbulence of 2023’s layoffs and the company’s return to profitability.

That combination — massive scale, genuine flexibility, strong autonomy — is what makes Spotify a genuinely unusual employer in 2026. But it comes with trade-offs that are worth understanding before you apply. We pulled data from employee reviews, Spotify’s engineering blog, and public disclosures to build an honest picture of what working there actually looks like today.

## Spotify at a Glance

Founded

2006

Headquarters

Stockholm, Sweden

Founders

Daniel Ek & Martin Lorentzon

Company Size

~7,300 employees

Public

NYSE: SPOT

Glassdoor Rating

3.9 / 5.0

Work-Life Balance

4.3 / 5.0

Recommend to Friend

79%

Open Roles

181 positions

Culture Values

[Work-Life Balance](https://jobsbyculture.com/values/wlb), [Flex Hours](https://jobsbyculture.com/values/flex-hours), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Learning](https://jobsbyculture.com/values/learning), [Equity](https://jobsbyculture.com/values/equity)

## The Squad Model: What It Actually Looks Like in 2026

No article about Spotify’s engineering culture can avoid the squad model. Published in 2012 by Henrik Kniberg, the original whitepaper described a system of autonomous, cross-functional teams (squads) grouped into tribes, with functional alignment provided by chapters and informal communities of practice called guilds. The paper went viral. Hundreds of companies tried to copy the model. Most failed.

What is less well known is how much the model has evolved inside Spotify itself. By 2026, the rigid taxonomy — squads, tribes, chapters, guilds — has become more pragmatic and less prescriptive. The core principle remains: small teams with end-to-end ownership of a product area, enough autonomy to make real decisions about what to build and how to build it. But the organizational scaffolding has loosened. Not every team uses the “squad” label anymore. Some tribes have restructured into program-level groupings. The guild system is active but informal, more like Slack channels with occasional meetups than a formal organizational layer.

Employee Pro “The squad model gives you real ownership. You’re not waiting for three layers of management to approve a feature — your team decides what to ship and when.”

The practical effect is that engineers at Spotify have more autonomy than at most companies of comparable size. A squad typically consists of 6–12 people — engineers, a product manager, a designer, and sometimes a data scientist — and owns a specific domain of the product. They set their own priorities within the broader mission, choose their own technical approaches, and ship independently. This is the [engineering-driven culture](https://jobsbyculture.com/values/eng-driven) that attracts many candidates: the feeling that your technical judgment matters, not just your capacity to execute tickets someone else wrote.

The downside of this autonomy is fragmentation. When every squad makes independent decisions, aligning across squads becomes genuinely hard. Multiple employee reviews mention coordination challenges as a consistent friction point — particularly for projects that span multiple product areas. The model works beautifully for vertical ownership. It struggles at the horizontal seams.

Employee Con “Autonomy is great until you need three squads to align on something. Cross-team coordination can be painfully slow.”

## Glassdoor Ratings Breakdown

Spotify’s overall Glassdoor rating of 3.9 out of 5.0 places it solidly in the upper half of companies in our [Culture Directory](https://jobsbyculture.com/companies). The score has been remarkably stable despite the 2023 layoffs, which says something about the underlying culture’s resilience. Here is how each dimension breaks down:

Work-Life Balance 4.3

Culture & Values 4.1

Diversity & Inclusion 4.1

Compensation & Benefits 3.9

Career Opportunities 3.5

The pattern here is telling. The things Spotify does well — [work-life balance](https://jobsbyculture.com/values/wlb), culture, inclusion — score strongly. The weaker areas — career opportunities and compensation — reflect two well-documented friction points: limited upward mobility after the layoff-driven flattening of the org, and total comp that is competitive but not at the top of the market for senior engineers in NYC or London. More on both below.

~7,300

Employees Worldwide

4.3

Work-Life Balance Score

\-15%

Attrition vs. Pre-Pandemic

## Work From Anywhere: What It Really Means

In February 2021, Spotify announced its Work From Anywhere (WFA) policy, and unlike many companies that walked back similar commitments during 2022–2023, Spotify has stuck with it. As of 2026, the policy remains in full effect: employees choose whether to work from Spotify’s offices, from home, or any combination. There are no mandatory office days. The offices in Stockholm, New York, London, Los Angeles, and other cities remain open for people who want them, but attendance is not tracked or required.

The results speak for themselves. Spotify’s HR team has published data showing that attrition rates under WFA fell 15% below pre-pandemic baselines. That is not a marginal improvement — it represents thousands of employees who might have left but chose to stay specifically because of the flexibility. For candidates who value [flexible working hours](https://jobsbyculture.com/values/flex-hours) and location independence, Spotify is one of the few large tech companies that has genuinely committed to distributed work at scale.

Employee Pro “Work From Anywhere is the real deal. I moved to a different country and my manager didn’t even blink. The trust is genuine.”

There are practical limits, of course. Time zone overlap matters for collaborative work, and some roles — particularly those in hardware, studios, or physical events — have location constraints. But for the majority of engineering, product, design, and data roles, WFA means what it says. This is not a “remote-friendly” policy where you can theoretically work from home but everyone who gets promoted happens to sit in the Stockholm office. The distribution of remote employees across Spotify’s workforce is genuinely global.

## The 2023 Layoffs and Their Aftermath

Any honest assessment of Spotify in 2026 has to reckon with December 2023, when the company cut 17% of its workforce — roughly 1,500 people — in its third round of layoffs that year. Smaller reductions in January (600 people) and June (200 people, primarily podcasting) had already shaken confidence, but the December cut was the largest and most disruptive. It was not a surgical trim of underperforming teams; it was a broad restructuring driven by CEO Daniel Ek’s stated goal of improving Spotify’s operating efficiency after years of aggressive hiring and investment in podcasting.

The aftermath has been complicated. On the business side, the layoffs clearly worked: Spotify became consistently profitable in 2024, and the stock price recovered dramatically. On the cultural side, the picture is more mixed. Employee reviews from 2024 through early 2026 reveal a company that is leaner and more focused, but also one where trust in leadership took a real hit.

Employee Con “After three rounds of layoffs in one year, you can’t help feeling like you might be next. The anxiety has faded but hasn’t fully gone away.”

The layoffs disproportionately affected podcasting and content teams, which had expanded aggressively during Spotify’s push into non-music audio. The engineering org was impacted but less severely — Spotify’s core product still requires substantial engineering investment, and the company continued hiring for key technical roles even during the restructuring period. By mid-2025, hiring had resumed more broadly, though at a more disciplined pace than the pre-2023 expansion.

What has changed is the mood. Pre-2023 Spotify had the energy of a company that believed it could expand into anything — podcasting, audiobooks, live audio, creator tools. Post-2023 Spotify is more focused, more cost-conscious, and more deliberate about where it invests. Whether that feels like maturity or retrenchment depends on what you are looking for in an employer.

## Compensation & Equity

Spotify’s total compensation for engineers ranges from approximately $150,000 to $400,000+, with a median around $285,000 based on employee-reported compensation data. As a public company (NYSE: SPOT), the compensation package includes base salary plus RSUs on a standard vesting schedule. The 3.9 Glassdoor rating for Compensation & Benefits places Spotify in a competitive range — not quite top-of-market for senior engineers at FAANG, but meaningfully above the median for tech companies of comparable size.

The equity component has become more attractive since 2024. SPOT’s stock price has recovered substantially from its 2022–2023 lows, driven by the company’s return to profitability and strong subscriber growth. For employees who received grants during the downturn, the paper gains have been significant. For new hires in 2026, the question is whether Spotify’s stock still has meaningful upside from current levels — the market cap is in the $90B+ range, which limits the kind of exponential equity returns you might see at an earlier-stage company.

Where Spotify’s total compensation package punches above its weight is in the non-monetary dimensions. The Work From Anywhere policy has real economic value — employees can live in lower-cost-of-living areas while earning big-city salaries. Parental leave is generous by US standards (6 months). The [learning culture](https://jobsbyculture.com/values/learning) includes dedicated time and budget for professional development. And the [work-life balance](https://jobsbyculture.com/values/wlb) means you are less likely to burn out, which has compounding career value that is hard to quantify but very real.

## Engineering at Spotify

Spotify’s engineering organization is one of the most influential in the industry, not because of its size (though it is substantial) but because of what it has built and open-sourced. The company’s most famous contribution to the broader engineering ecosystem is **Backstage**, an open-source developer portal that has become the de facto standard for internal developer platforms across hundreds of companies. Backstage alone would be a notable engineering achievement. The fact that it came out of Spotify’s internal tooling culture says something important about the engineering org’s mindset: they build tools that matter, and they share them.

### Tech Stack

Java Python Go GCP Kubernetes React Backstage

The backend is primarily Java and Python, with Go gaining adoption for performance-critical services. Infrastructure runs on Google Cloud Platform with heavy use of Kubernetes for orchestration. The web client uses React, and mobile development spans both native and cross-platform approaches. The ML infrastructure is substantial — Spotify’s recommendation engine, which powers Discover Weekly, Release Radar, and personalized playlists, is one of the most sophisticated collaborative filtering and NLP systems in consumer tech.

### What engineering looks like day-to-day

-   **Squad-level autonomy.** Engineers work in small, cross-functional squads with genuine ownership over their product area. You choose your own technical approach, set your sprint priorities, and ship without waiting for approval from layers of management. The [engineering-driven culture](https://jobsbyculture.com/values/eng-driven) means technical judgment is respected and engineers influence product direction.
-   **Internal developer platform.** Backstage isn’t just an open-source project — it is the backbone of Spotify’s internal developer experience. Engineers use it to discover services, manage infrastructure, track deployment pipelines, and access documentation. The result is unusually low friction for spinning up new services and understanding the system landscape.
-   **ML and personalization at scale.** The recommendation systems that power personalized playlists process billions of listening events daily. If you want to work on ML that directly affects hundreds of millions of users’ daily experience, the scale here is in a class with only a handful of other companies.
-   **Audio-specific hard problems.** Codec optimization, real-time audio streaming at global scale, content delivery across variable network conditions, rights management across 200+ markets — Spotify’s engineering challenges are domain-specific and genuinely interesting if you care about media infrastructure.

Employee Pro “The engineering culture is world-class. Backstage, the squad model, the ML infra — there’s a reason people study how Spotify builds software.”

## Who Thrives at Spotify (and Who Doesn’t)

Based on the culture signals, employee reviews, and what we know about the company’s working norms, here is who tends to do well at Spotify:

-   **Self-directed engineers.** The squad model gives you autonomy, but autonomy requires initiative. If you thrive when given a problem and the freedom to solve it your way, Spotify is an excellent fit. If you need clear direction and structured mentorship, the loose organizational model may feel disorienting.
-   **People who value flexibility above all.** If Work From Anywhere, [flexible hours](https://jobsbyculture.com/values/flex-hours), and genuine work-life balance are your top priorities, Spotify delivers on all three more credibly than almost any other company at this scale. The 4.3 WLB score is earned, not aspirational.
-   **Systems thinkers and platform builders.** Spotify’s engineering challenges are at the intersection of scale, personalization, and media delivery. If you enjoy designing systems that handle billions of events or building developer tools that thousands of engineers rely on, the problems here are genuinely interesting.
-   **People who care about inclusion.** The 4.1 Diversity & Inclusion score reflects a culture that takes representation seriously at a level beyond performative ERGs. Multiple employee reviews cite the inclusive culture as a standout feature, particularly for a European-HQ’d company operating globally.

Spotify is _not_ ideal for:

-   **Candidates optimizing purely for total comp.** At a median of ~$285k for engineers, Spotify pays well but not at the top of the market. If maximizing earnings is your primary criterion, FAANG or late-stage AI companies will likely offer more. The [equity](https://jobsbyculture.com/values/equity) is liquid and the stock has performed well, but the startup-scale upside is behind Spotify.
-   **People on an aggressive promotion track.** The 3.5 Career Opportunities score is the weakest dimension in Spotify’s profile. The post-layoff org is flatter, senior leadership slots are limited, and career ladders are not as clearly defined as at a company like Google. If fast upward mobility matters to you, be aware of this constraint.
-   **Engineers who want tight cross-team coordination.** The squad model’s autonomy comes at the cost of horizontal alignment. If you are building something that requires deep collaboration across multiple teams, the organizational friction can be significant. This is a structural trade-off, not a bug.
-   **People still processing layoff anxiety.** If organizational stability is what you need right now, the memory of three rounds of layoffs in 2023 may make Spotify feel like a risk, even though the company is now profitable and hiring again. The emotional residue is real for current employees and worth considering for prospective ones.

## Open Positions at Spotify

Spotify currently has **111 open positions** listed on our platform, spanning engineering, data science, product, design, and ML roles across Stockholm, New York, London, and remote locations worldwide. If the distributed-first culture, squad-level autonomy, and work-life balance resonate with your priorities, the company is actively hiring — and the 79% employee recommendation rate suggests the culture remains strong despite the restructuring.

For full details on Spotify’s open roles, culture values, and side-by-side comparisons with other companies, visit the [Spotify culture profile page](https://jobsbyculture.com/companies/spotify).

## Frequently Asked Questions About Working at Spotify

How many employees does Spotify have in 2026?+

Spotify has approximately 7,300 employees as of 2026, down from a peak of 9,123 in 2023. The company conducted a 17% layoff in December 2023, cutting roughly 1,500 positions. Since then, headcount has stabilized and the company has resumed selective hiring, particularly in engineering and ML roles. Spotify is headquartered in Stockholm with major offices in New York, London, and Los Angeles.

What is Spotify’s Glassdoor rating in 2026?+

Spotify has a 3.9 out of 5.0 overall Glassdoor rating with 79% of employees recommending it to a friend. Work-Life Balance scores highest at 4.3/5, followed by Culture & Values and Diversity & Inclusion at 4.1/5 each. Compensation & Benefits is 3.9/5, and Career Opportunities is the weakest at 3.5/5. The scores have remained stable through the post-layoff period.

Is Spotify remote-friendly?+

Yes. Spotify launched its Work From Anywhere (WFA) policy in February 2021 and has maintained it through 2026. Employees choose whether to work from the office, from home, or any combination — there are no mandatory office days. The policy has resulted in attrition rates 15% below pre-pandemic baselines. Offices in Stockholm, New York, London, and other cities remain open but attendance is entirely optional.

What is Spotify’s compensation like for engineers?+

Spotify’s total compensation for engineers ranges from approximately $150,000 to $400,000+, with a median around $285,000 based on employee-reported data. As a public company (NYSE: SPOT), compensation includes base salary plus RSUs. The Compensation & Benefits Glassdoor score is 3.9/5. Non-monetary benefits include Work From Anywhere, 6 months parental leave, and a dedicated learning & development budget.

What is the squad model at Spotify?+

The squad model is Spotify’s organizational structure where small, autonomous cross-functional teams (squads of 6–12 people) own specific product areas end-to-end. Squads are grouped into tribes, while chapters provide functional alignment across squads (e.g., all backend engineers) and guilds are informal communities of practice. The model has evolved significantly since it was first published in 2012, becoming less rigid and more pragmatic. The core principle — small teams with real ownership — remains intact.

How did the 2023 layoffs affect Spotify’s culture?+

The December 2023 layoff cut 17% of Spotify’s workforce (~1,500 people), following smaller reductions in January and June. Employee reviews from 2024–2026 show a mixed picture: the company is leaner and more focused, with stronger financial performance, but survivors describe lingering anxiety and reduced trust in leadership. The layoffs disproportionately affected podcasting and content teams. Engineering was impacted but less severely. By mid-2025, hiring resumed at a more disciplined pace.

### Explore Spotify’s 111 open roles

See all Spotify positions alongside jobs from companies like Anthropic, Stripe, Figma, and more — all with culture context.

[View Spotify Jobs →](https://jobsbyculture.com/jobs?company=spotify) [Full Culture Profile →](https://jobsbyculture.com/companies/spotify)

---

## Document: Stripe in 2026: 8,000 Employees, Recent Layoffs, Salary & Culture

# Stripe in 2026: 8,000 Employees, Recent Layoffs, Salary & Culture

> Working at Stripe in 2026: $159B valuation, 8,000 employees, the 2022 + 2025 layoffs, 4.0 Glassdoor rating, $250k-$450k engineer comp, and what the writing-first culture is really like inside the company.

Source: https://jobsbyculture.com/blog/working-at-stripe-2026
Markdown: https://jobsbyculture.com/blog/working-at-stripe-2026.md
Last updated: 2026-07-14

---
[Stripe](https://jobsbyculture.com/companies/stripe) is one of the most iconic companies in tech. Founded by Patrick and John Collison in 2010, it has grown from a simple payments API into the financial infrastructure that powers millions of internet businesses — from startups to Amazon and Google. Valued at $159 billion in its February 2026 tender offer (up 74% from $91.5B a year earlier), Stripe sits at the intersection of fintech, developer tools, and enterprise infrastructure.

But behind the brand and the valuation, what is it actually like to work there? We pulled data from Stripe's [company profile](https://jobsbyculture.com/companies/stripe), Glassdoor reviews, and engineering blog to give you an honest, detailed picture of Stripe as an employer in 2026. Whether you're evaluating an offer, preparing for an interview (see our [questions to ask in a Stripe interview](https://jobsbyculture.com/blog/questions-to-ask-stripe-interview)), or just curious about the culture, here's what you need to know.

## Stripe at a Glance

Founded

2010

Headquarters

San Francisco, CA

Founders

Patrick & John Collison

Company Size

~8,000 employees

Valuation

$159B (Feb 2026 tender)

Glassdoor Rating

4.0 / 5.0 (2,800 reviews)

Work-Life Balance

3.6 / 5.0

CEO Approval

82% (Patrick Collison)

Recommend to Friend

80%

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Learning](https://jobsbyculture.com/values/learning), [Equity](https://jobsbyculture.com/values/equity), [Product Impact](https://jobsbyculture.com/values/product-impact), [Transparent](https://jobsbyculture.com/values/transparent)

Stripe is a large, mature company that still operates with the intellectual rigor of a much smaller one. The culture is defined by writing, [engineering excellence](https://jobsbyculture.com/values/eng-driven), and a relentless focus on code quality. Among the [118 companies in our Culture Directory](https://jobsbyculture.com/companies), Stripe occupies a unique niche: it's the rare company where engineers genuinely drive decisions, compensation is top-tier, and the technical problems are genuinely hard — but the pace and perfectionism come with real trade-offs.

## What Makes Stripe's Culture Different

Ask anyone who has worked at Stripe what makes it special, and the answer is almost always the same: the writing culture. Stripe is a company where memos matter more than meetings. Major decisions are preceded by carefully drafted documents. Engineers write design docs before writing code. Product managers write strategy memos before building roadmaps. Even performance reviews are structured around written narratives rather than numerical rating scales.

This traces back to co-founders Patrick and John Collison, who modeled the company's communication style on Amazon's memo culture but took it further. At Stripe, writing isn't just a communication tool — it's a [transparency](https://jobsbyculture.com/values/transparent) mechanism. Memos are widely shared. Comments are threaded. Decisions are documented with the reasoning preserved for future reference. You can trace back why a particular architecture was chosen, what alternatives were considered, and who weighed in.

The second defining characteristic is [engineering excellence](https://jobsbyculture.com/values/eng-driven). Stripe has one of the most rigorous engineering cultures in the industry. Code review is thorough and collaborative. Engineers own their systems end-to-end, from design to production. The company built Sorbet, a Ruby type-checker, and maintains a world-class internal API platform. The engineering blog is treated like a textbook by engineers across the industry.

For engineers who value intellectual rigor and long-term thinking, Stripe is a rare find. There's a clarity to how decisions get made that's unusual at companies of this size. But there's a trade-off: writing takes time. Multiple reviewers note that the bar for written communication is extremely high, and producing a well-crafted memo can consume a significant part of your week. For people who prefer to [ship fast](https://jobsbyculture.com/values/ship-fast) and iterate, the writing culture can feel like a bottleneck.

Employee Pro "Engineering culture is elite — internal tools, code quality, and writing culture are best-in-class"

## Glassdoor Ratings Breakdown

Stripe's overall Glassdoor rating of 4.0 out of 5.0, based on 2,800 employee reviews, places it solidly in the middle of the pack among the [118 companies in our directory](https://jobsbyculture.com/companies). It's the same overall score as [Replit](https://jobsbyculture.com/companies/replit) and [Mistral](https://jobsbyculture.com/companies/mistral), but what makes Stripe's rating interesting is the context: this is a company of ~8,000 people that has been through the painful November 2022 layoff (14%) and a smaller January 2025 cut (~300 roles). The 4.0 reflects a company that was once in 4.3–4.5 territory before those events. Newer reviews skew more positive, suggesting recovery and renewed confidence.

Here's how each sub-category breaks down:

Compensation & Benefits 4.5

Culture & Values 4.1

Overall Rating 4.0

Career Opportunities 3.8

Senior Management 3.7

Work-Life Balance 3.6

The pattern is telling. Compensation is the standout at 4.5 — Stripe pays among the best in fintech. Culture & Values at 4.1 is strong for a company of this size. The weaker scores in Career Opportunities (3.8), Senior Management (3.7), and Work-Life Balance (3.6) point to the areas where Stripe's intensity creates friction. The WLB score places Stripe 18th out of 118 companies in our [work-life balance rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026) — tied with [Mistral](https://jobsbyculture.com/companies/mistral).

## What Employees Actually Say

We analyzed recurring themes across Stripe's Glassdoor reviews. Here's what stands out on both sides.

### What employees love

Employee Pro "Engineering culture is elite — internal tools, code quality, and writing culture are best-in-class"

Employee Pro "Top compensation in fintech — competitive base, equity, and benefits"

Employee Pro "Solving genuinely hard distributed systems problems at massive scale"

Employee Pro "Intellectual rigor and long-term thinking — decisions are well-reasoned and documented"

The theme is consistent: Stripe attracts sharp people, pays them well, and gives them genuinely hard problems to solve. Multiple reviewers cite the caliber of colleagues as the single best thing about the company. The interview process is famously rigorous, and it shows in the quality of day-to-day collaboration. This is a company where every conversation sharpens your thinking.

### What could be better

Employee Con "Perfectionism can slow shipping — high bar for quality sometimes means slower velocity"

Employee Con "The 2022 layoff (and the smaller 2025 cut) affected team morale — the company has been working to rebuild confidence"

Employee Con "Promotion process is opaque — criteria and timelines can feel unclear"

Employee Con "Work-life balance struggles in payments and infrastructure teams"

The cons center on three themes: (1) the perfectionism that makes Stripe's code excellent also makes it slow to ship, (2) the layoffs (14% in late 2022, plus ~300 more roles in January 2025) left scar tissue that hasn't fully healed, and (3) at ~8,000 employees, some of the bureaucratic overhead of scale is creeping in. The promotion opacity is a particularly common complaint — something that larger companies like [HubSpot](https://jobsbyculture.com/companies/hubspot) and [Databricks](https://jobsbyculture.com/companies/databricks) handle with more transparent career ladders.

## Compensation & Benefits

Stripe pays well — and the data confirms it. The 4.5 Glassdoor rating for Compensation & Benefits is the highest sub-score in Stripe's profile and one of the strongest across our [entire directory](https://jobsbyculture.com/companies). In a fintech landscape where companies like [Ramp](https://jobsbyculture.com/companies/ramp) and [Brex](https://jobsbyculture.com/companies/brex) compete aggressively for talent, Stripe remains at or near the top.

4.5 / 5

Comp & Benefits Rating

80%

Recommend to Friend

82%

CEO Approval

Total compensation for senior engineers typically includes a strong base salary, a meaningful [equity](https://jobsbyculture.com/values/equity) component, and comprehensive benefits. The equity piece is particularly interesting. Stripe went through a major down-round during the 2023 tech correction but has since recovered significantly. For employees who joined during the dip, the equity upside has been substantial. For longer-tenured employees who watched their paper wealth drop by 50%+, the recovery has helped restore confidence — though the experience left marks that Glassdoor reviews still reference.

Benefits are comprehensive: generous parental leave, annual learning stipends, strong healthcare coverage, and a genuine commitment to professional development. Stripe operates across San Francisco, Dublin, Singapore, and remote hubs, with compensation adjusted by location. SF-based roles command the highest total comp, while Dublin and remote roles are adjusted accordingly — though Stripe's location bands are generally considered fair relative to market.

For a side-by-side view, use the [Stripe vs Shopify](https://jobsbyculture.com/compare/stripe-vs-shopify) comparison or our [full comparison tool](https://jobsbyculture.com/compare) to see how Stripe stacks up against any company in our database.

## Engineering Culture & Tech Stack

Stripe's engineering culture is legendary, and for good reason. This is a company that processes hundreds of billions of dollars in payments annually across a distributed system that has to be both blazingly fast and absolutely reliable. The technical challenges are genuinely hard — real-time fraud detection, multi-currency settlement, idempotency guarantees across distributed transactions — and the engineering organization reflects that seriousness.

### Tech Stack

Ruby Go Java Scala

Stripe's backend is primarily Ruby and Java, with Go gaining ground in newer services and Scala used in data infrastructure. The company is famous for building Sorbet, a gradual type system for Ruby, which gives you a sense of how seriously they take code quality — rather than migrating away from Ruby, they built a type-checker to make it better.

### How engineering works at Stripe

-   **Design docs before code.** Every significant feature or system change starts with a written design document. These are reviewed by peers and relevant stakeholders before any code is written. It slows the start but dramatically reduces wasted effort and architectural mistakes.
-   **Thorough code review.** Code review at Stripe is not a rubber-stamp. Reviews are detailed, constructive, and expected to catch both correctness issues and design problems. This is where much of the [learning](https://jobsbyculture.com/values/learning) happens for newer engineers.
-   **End-to-end ownership.** Engineers own their systems from design through production. There's no "throw it over the wall" to ops — the team that builds it runs it, monitors it, and pages for it.
-   **Internal tools culture.** Stripe invests heavily in internal developer experience. The internal API platform, CI/CD tooling, and development environments are world-class. Engineers have described Stripe's internal tools as "better than most companies' products."

The engineering blog at [stripe.com/blog/engineering](https://stripe.com/blog/engineering?ref=jobsbyculture.com) is one of the best in the industry and gives you a real taste of the types of problems Stripe engineers work on. If reading it excites you, that's a strong signal of fit.

## Who Thrives at Stripe

Stripe is not for everyone, and that's by design. Based on the culture signals, employee reviews, and conversations with current and former Stripes, here's who tends to do well:

-   **Strong writers.** If you enjoy communicating through well-structured documents and find clarity in writing, you'll feel at home. If you hate writing and prefer hallway conversations, you'll struggle. Writing is not optional at Stripe — it's the primary medium of influence.
-   **Craftspeople who care about code quality.** Engineers who find satisfaction in getting the details right, who appreciate thorough code review, and who take pride in clean, well-tested code will love this environment. If you want to ship fast and iterate without rigorous review, consider [Ramp](https://jobsbyculture.com/companies/ramp) or [Vercel](https://jobsbyculture.com/companies/vercel) instead.
-   **People who want scale + rigor.** Stripe processes hundreds of billions of dollars. The scale of [product impact](https://jobsbyculture.com/values/product-impact) is tangible. But the engineering rigor means you can work on problems at that scale with the quality standards of a well-run research lab. This combination is rare.
-   **Self-directed learners.** Stripe's [learning culture](https://jobsbyculture.com/values/learning) rewards curiosity. You're surrounded by sharp people working on hard problems — but you have to seek out the growth opportunities rather than having them handed to you.
-   **Patient shippers.** If you need to see features go live every week, Stripe's pace might feel slow. If you're willing to invest in quality and ship less frequently but with higher confidence, it's a strong fit.

Stripe is _not_ ideal for people who want a classic startup environment with minimal process, or for those who prioritize [work-life balance](https://jobsbyculture.com/values/wlb) above all else. The 3.6 WLB score reflects a company that expects commitment. The [equity](https://jobsbyculture.com/values/equity) upside and career acceleration make that trade-off worthwhile for many, but go in with your eyes open. If WLB is your top priority, consider companies like [Notion](https://jobsbyculture.com/companies/notion) (4.2), [Linear](https://jobsbyculture.com/companies/linear) (4.4), or [HubSpot](https://jobsbyculture.com/companies/hubspot) (4.1) instead.

## Open Positions at Stripe

Stripe currently has **524 open positions** listed on our platform, spanning engineering, infrastructure, and product roles across San Francisco, Toronto, Singapore, Barcelona, and remote locations. If the culture and technical challenges described in this post resonate with you, now is a strong time to apply — the company has stabilized after the 2022 restructuring (and a smaller January 2025 cut) and is actively investing in growth again.

For full details on Stripe's open roles, culture values, and side-by-side comparisons with other companies, visit the [Stripe culture profile page](https://jobsbyculture.com/companies/stripe).

## Frequently Asked Questions About Working at Stripe

How many employees does Stripe have in 2026?+

Stripe has approximately 8,000 employees as of 2026. The company peaked at about 8,600 before laying off 14% (roughly 1,120 people) in November 2022, then trimmed another ~300 roles in January 2025. CEO Patrick Collison has said he plans to grow toward 10,000 by year-end. There are 524 open roles across engineering, product, sales, and operations. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

Did Stripe have layoffs in 2026?+

Stripe's major layoff was November 2022, when it cut 14% of staff (about 1,120 people). In January 2025, Stripe cut another ~300 roles (3.5% of the workforce) in product, engineering, and operations — while saying it still planned to grow headcount to roughly 10,000 by year-end. No further large-scale layoffs have been reported in 2026. CEO Patrick Collison publicly took responsibility for the 2022 cuts, citing over-hiring during the pandemic growth period. For context on how other tech companies are handling workforce changes, see our [Oracle layoffs 2026 analysis](https://jobsbyculture.com/blog/oracle-layoffs-2026).

What is Stripe's Glassdoor rating in 2026?+

Stripe has a 4.0 out of 5.0 overall Glassdoor rating. However, software engineers specifically rate work-life balance at just 2.9/5 — one of the lowest engineer WLB scores across all 118 companies in our [directory](https://jobsbyculture.com/companies). Compensation is rated 4.3/5 and 80% of employees recommend working there. See our [full Stripe culture profile](https://jobsbyculture.com/companies/stripe) for the complete breakdown.

What is the average employee tenure at Stripe?+

Average employee tenure at Stripe is approximately 2–3 years. The writing-intensive culture and high-performance expectations mean Stripe tends to attract ambitious engineers who stay long enough to build significant projects, develop their skills, and then move on to leadership roles elsewhere. The Stripe "stamp" on a resume is widely respected in the industry, similar to ex-Google or ex-Meta credibility.

What is Stripe's engineering culture like?+

Stripe's engineering culture is built around writing. Engineers are expected to write clear design docs and memos before building — carefully reasoned, well-expressed ideas reach a broad audience quickly. The company runs the world's largest Ruby codebase (20M+ lines of code) and runs 6 billion tests per day on code changes. It's rigorous, intellectual, and high-bar. The tech stack also includes Java, Go, and heavy ML/AI investment. Work-life balance for engineers is 2.9/5, reflecting the demanding standards.

What is Stripe's compensation for engineers?+

Total compensation for software engineers at Stripe typically ranges from $280k to $400k+ depending on level, including base salary, equity, and bonus. Compensation is rated 4.3/5 on Glassdoor — competitive but slightly below frontier AI labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) ($300k–$490k) and [OpenAI](https://jobsbyculture.com/companies/openai) ($350k–$550k). Stripe's equity is meaningful given the company's valuation and path toward a potential IPO. See our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

What is Stripe's culture like?+

Stripe's culture values include [Engineering-Driven](https://jobsbyculture.com/values/eng-driven), [Learning & Growth](https://jobsbyculture.com/values/learning), [Strong Comp & Equity](https://jobsbyculture.com/values/equity), [Product Impact](https://jobsbyculture.com/values/product-impact), and [Transparency](https://jobsbyculture.com/values/transparent). The writing culture is the defining feature — decisions are driven by written memos, not meetings. It attracts people who are rigorous thinkers and clear communicators. The pace is demanding but the impact is real — Stripe processes hundreds of billions of dollars annually.

### Browse all 13,906 jobs from 118 companies

See Stripe's 524 open roles alongside jobs from companies like Anthropic, Ramp, Shopify, and more — all with culture context.

[View Stripe Jobs →](https://jobsbyculture.com/companies/stripe) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Suno in 2026: AI Music, Culture & What Engineers Say

# Working at Suno in 2026: AI Music, Culture & What Engineers Say

> Working at Suno in 2026: ~200 employees, 4.2 Glassdoor rating, $5.4B Series D valuation (June 2026), and what engineers actually say about building AI music at the intersection of creativity and machine learning.

Source: https://jobsbyculture.com/blog/working-at-suno-2026
Markdown: https://jobsbyculture.com/blog/working-at-suno-2026.md
Last updated: 2026-07-14

---
[Suno](https://jobsbyculture.com/companies/suno) is what happens when four machine learning researchers from an S&P Global AI lab decide to follow a deeply personal obsession. Mikey Shulman, the CEO, spent years playing in bands around New York City and knew firsthand how brutally difficult it was for most people to create and share music. In 2021, he and his Kensho colleagues — Georg Kucsko (CTO), Martin Camacho, and Keenan Freyberg (COO) — left their jobs to build something that seemed almost absurd at the time: an AI that could generate full songs from a text prompt.

Three years later, the absurd has become the undeniable. Suno has over 100 million total users, more than 2 million paid subscribers, and hit $300 million in annualized revenue by early 2026 — a 400% year-over-year growth rate. The company raised $250 million in a Series C at a $2.45 billion valuation in November 2025, and in June 2026 announced a $400 million+ Series D led by Bond Capital at a $5.4 billion valuation. From Cambridge, Massachusetts, a team of roughly 200 people is redefining how music gets made. Whether that excites or terrifies you probably says a lot about what kind of company you want to work for.

## Suno at a Glance

Founded

2021

Headquarters

Cambridge, MA (3 offices)

Founders

Mikey Shulman, Georg Kucsko, Martin Camacho & Keenan Freyberg

Company Size

~200 employees

Valuation

$5.4B (Series D, June 2026)

Revenue

$300M ARR (Feb 2026)

Glassdoor Rating

4.2 / 5.0

Work-Life Balance

4.0 / 5.0

Recommend to Friend

85%

Culture Values

[Ship-Fast](https://jobsbyculture.com/values/ship-fast), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Product Impact](https://jobsbyculture.com/values/product-impact), Many-Hats, Learning

The numbers are staggering for a company this young. But what makes Suno genuinely interesting as a workplace is not the revenue trajectory — it is the nature of the problem. Generative audio is one of the hardest unsolved challenges in AI. Unlike text or image generation, music requires temporal coherence over minutes, not seconds. A song needs structure: verses, choruses, bridges, dynamics. The model has to understand melody, harmony, rhythm, lyrics, and vocal expression simultaneously. Building this from scratch, in a market that did not exist four years ago, with legal uncertainty swirling around every decision — that is the kind of work that attracts a very specific kind of engineer.

## What Makes Suno's Culture Different

Most AI companies in 2026 are building infrastructure, enterprise tools, or chatbots. Suno is building something people _feel_. That distinction runs through every layer of the company's culture. The team describes its philosophy as taking joy seriously — the belief that creativity thrives when people are playful, open, and having fun. For a company working on music, this is not just brand positioning. It is a genuine cultural signal that shapes how teams operate day to day.

The founding team's background at Kensho sets a specific tone. All four co-founders came from a serious ML research environment inside S&P Global, where rigor and technical depth were non-negotiable. That DNA transferred to Suno. The engineering culture is research-driven in a way that most startups at this stage are not — because the core product is fundamentally a research problem. You cannot build a competitive music generation model by hiring product managers and running A/B tests. You need people who understand transformer architectures, audio signal processing, and the music theory that makes a generated song feel like a real song rather than a novelty.

But the research orientation is balanced by a relentless focus on shipping. Suno has released multiple major model versions in rapid succession — from v3 to v4 to v5, and most recently v5.5 in March 2026 with features like Voices, Custom Models, and Warp Markers. The September 2025 launch of Suno Studio, described as the first generative audio workstation, represented a leap from "AI generates a song" to "AI is a creative collaborator." This is a team that does real research and ships real product on compressed timelines. That combination is rare and demanding.

Employee Pro "Building at the frontier of AI music with a creative, mission-driven team — the product directly impacts how millions of people experience music creation"

The third cultural pillar is the Cambridge, MA identity. Suno spans three offices in Cambridge, drawing from the MIT/Harvard/Boston tech ecosystem. Shulman himself lectures at MIT Sloan on NLP for finance. The Cambridge location is a deliberate choice — it attracts ML talent from the dense academic pipeline without competing directly in the Bay Area salary wars. For engineers who want to work on world-class AI problems without relocating to San Francisco, Suno is one of the strongest options on the East Coast.

## Glassdoor Ratings Breakdown

Suno's overall Glassdoor rating of 4.2 out of 5.0 places it above average for AI startups at this stage. The sub-category breakdown reveals a company with genuine cultural strengths and one notable weakness.

Overall Rating 4.2

Culture & Values 4.1

Work-Life Balance 4.0

Career Opportunities 3.9

Compensation & Benefits 3.7

Culture & Values at 4.1 is the standout. For a company scaling as fast as Suno — roughly tripling headcount from ~80 employees to ~200 in about 18 months, with plans to grow another 70% by year-end — maintaining cultural coherence is genuinely difficult. The 4.1 suggests Suno has been intentional about who it hires and how it integrates new people. Work-Life Balance at 4.0 is surprisingly strong for a hyper-growth startup, though the average likely masks variance: model training deadlines and product launches almost certainly create crunch periods.

The weak spot is Compensation & Benefits at 3.7. This is the most cited concern in employee feedback and the one area where Suno lags behind peers. At $300M ARR and a $5.4B post-money Series D valuation, the company has the revenue to pay competitively. But compensation has historically been below market for the AI sector, and while the rating has improved 9% over the past 12 months, it remains a friction point. The equity story may offset this for believers — early employees at a company growing this fast could see significant returns — but anyone comparing base salary offers against companies like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [Databricks](https://jobsbyculture.com/companies/databricks) will notice the gap.

## What Employees Actually Say

### What employees love

Employee Pro "The mission is real and the product is magical — seeing someone create their first song with Suno never gets old"

Employee Pro "Genuinely hard technical problems in generative audio — this is not another wrapper around GPT"

Employee Pro "The team is exceptional — musicians, ML researchers, and product thinkers all in one room"

Employee Pro "Rapid career growth at a company scaling this fast — you take on responsibility much faster than at a larger company"

The consistent theme is the uniqueness of the work. Engineers at most AI companies are optimizing chat interfaces or building retrieval pipelines. At Suno, you are teaching machines to make music. That distinction creates a visceral sense of purpose that is hard to replicate. The team composition is also unusual — you will sit next to people who have published ML papers and people who have played in touring bands. That cross-pollination between technical rigor and musical intuition is core to why the product works, and employees consistently cite it as one of the best parts of the job.

### What could be better

Employee Con "Compensation is below market for AI — the equity story is compelling but cash compensation lags behind competitors"

Employee Con "Growing pains are real — processes and structure are still catching up to the pace of growth"

Employee Con "Legal uncertainty around copyright adds a layer of stress that most AI companies do not have"

The compensation concern is the most tangible. At 3.7/5 for Comp & Benefits, Suno is asking engineers to accept a below-market cash package in exchange for equity upside and the chance to work on a genuinely novel problem. For many engineers, that trade works — particularly after the Series D closed at $5.4B. But the gap is real, and candidates should negotiate accordingly.

The growing pains are expected at a company that more than doubled headcount in under two years. Processes that worked for 80 people break at 200, and another 70% growth is planned this year. Meeting cadences, decision-making frameworks, onboarding — all of it is being rebuilt in real time. This is not a red flag so much as a reality of the stage. If you have worked at a high-growth startup before, you know the feeling. If you have not, be prepared for some chaos.

The legal dimension is more unusual. Suno is navigating active copyright lawsuits from Sony Music and independent artists, alongside newly formed licensing partnerships with Warner Music Group. The Sony case is expected to produce a pivotal fair-use ruling in summer 2026 that could set precedent for the entire AI music industry. Working at a company at the center of this legal battle is intellectually fascinating but adds real uncertainty to the business. The Warner partnership — which includes licensing music for model training and revenue-sharing with artists — shows Suno is actively building a sustainable path forward, but the outcome is not yet settled.

## Compensation & Growth

$300M

Annualized Revenue

85%

Recommend to Friend

100M+

Total Users

Suno's revenue numbers tell a compelling equity story. Going from near-zero to $300M ARR in roughly two years, with a freshly closed $5.4B Series D, means early employees are sitting on equity that could be genuinely life-changing. The trajectory from Series C ($2.45B in November 2025) to Series D ($5.4B in June 2026) in seven months is the kind of velocity that makes pre-IPO stock options very interesting.

The cash compensation side is less exciting. At 3.7/5, Suno's comp rating sits below companies like [Anthropic](https://jobsbyculture.com/companies/anthropic), [OpenAI](https://jobsbyculture.com/companies/openai), and most well-funded AI labs that are locked in an intense talent war. Suno competes for the same ML engineers but cannot always match on base salary. The pitch is: accept slightly less cash now, work on one of the most creatively satisfying problems in AI, and bet on the equity. For candidates earlier in their careers or those with enough financial cushion, that trade can be excellent. For those optimizing for guaranteed cash, it is a real consideration.

Career Opportunities at 3.9 is solid and likely to improve as the company scales. At ~200 people with 100M+ users, every engineer is working on problems with outsized reach. The [product impact](https://jobsbyculture.com/values/product-impact) is immediate — a model improvement you ship on Tuesday is generating songs for millions of people by Wednesday. For career growth, fast-scaling companies are where titles and responsibilities expand the fastest. Engineers who joined Suno at ~80 people and stayed through this growth likely have significantly larger scopes today.

## Engineering Culture & Tech Stack

Suno's engineering challenge is fundamentally different from most AI companies. Text generation has well-established architectures and benchmarks. Image generation has matured rapidly. But generative audio — particularly full songs with vocals, instrumentation, and musical structure — remains a frontier problem. The models have to maintain coherence over 3-4 minutes, handle the interaction between lyrics and melody, and produce output that sounds like it was made by humans rather than machines. This is not a solved problem with a known playbook. Every major model version represents genuine research progress.

### Tech Stack

Python PyTorch Modal Transformers Audio DSP

Python is the primary language for ML workloads, as expected. The more interesting infrastructure choice is Modal for compute — Suno runs its model training and inference on Modal's serverless GPU platform rather than managing its own fleet of A100s or H100s. This is a pragmatic decision that lets a relatively small engineering team focus on model quality rather than infrastructure operations. It also means Suno engineers get deep exposure to a modern ML infrastructure stack without the overhead of managing Kubernetes clusters and GPU scheduling.

The model architecture builds on transformer-based approaches, but the specifics of how Suno handles audio tokenization, temporal coherence, and multi-modal generation (lyrics + melody + arrangement) are proprietary and represent the company's core intellectual property. Engineers working on the model side are doing genuine research that pushes the field forward, not fine-tuning open-source models.

### How engineering works at Suno

-   **Research meets product, constantly.** Unlike pure research labs, Suno's ML advances ship directly to users. A model improvement in the lab becomes a product feature within weeks. This creates a tight feedback loop where research quality is measured by user experience, not just benchmark scores.
-   **Musicians on the team.** Suno deliberately hires engineers who are also musicians. This is not a nice-to-have — musical intuition directly informs model architecture decisions, training data curation, and quality evaluation. When your engineers can hear that a generated bridge sounds harmonically wrong, you build better models.
-   **Small teams, big ownership.** At ~200 people serving 100M+ users, teams are necessarily small and cross-functional. Engineers touch everything from model training to product UX. The [many-hats](https://jobsbyculture.com/values/many-hats) culture is real — expect to work across domains and pick up new skills constantly.
-   **Rapid iteration cycles.** The jump from v5 to v5.5 in a few months, adding features like Voices, Custom Models, and Warp Markers, demonstrates the shipping velocity. Engineers are expected to move fast, prototype aggressively, and get features in front of users before they are perfect.

One underappreciated aspect of Suno's engineering culture is the audio domain expertise required. Most ML engineers in 2026 have experience with text or images. Very few have worked extensively with audio — the data representations are different, the evaluation metrics are more subjective, and the user expectations are shaped by decades of professionally produced music. If you have a background in audio signal processing, music information retrieval, or computational musicology, Suno is one of the few companies where that expertise is a genuine differentiator rather than a curiosity.

## The Legal Landscape: Risk and Opportunity

Any honest assessment of working at Suno in 2026 must address the legal situation. The company is at the epicenter of the AI copyright debate in music, and this shapes the employee experience in ways that go beyond abstract legal theory.

The positive development: Warner Music Group settled its lawsuit against Suno in November 2025 and entered a licensing partnership. Under the deal, Suno gains access to licensed music for training future models (which will surpass v5), artists retain control over how their names and likenesses are used, and a revenue-sharing framework ensures creators benefit from AI-generated music that draws on their work. This is genuinely landmark — it shows that the music industry and AI companies can find common ground.

The active risk: Sony Music's case against Suno is still pending in Massachusetts federal court, with a ruling expected in summer 2026 that could set fair-use precedent for the entire AI music industry. An indie artist class action and international suits from GEMA (Germany) and Koda (Denmark) add further complexity. Licensing negotiations with Universal Music Group and Sony have reportedly stalled over the fundamental question of whether users can download AI-generated songs — a dispute over distribution rights that strikes at the heart of Suno's business model.

For engineers, the legal uncertainty manifests in two ways. First, the company's long-term trajectory depends on outcomes they cannot control. A negative ruling on fair use could fundamentally reshape the business. Second, the licensing constraints mean the product roadmap is partially shaped by legal strategy — the shift to licensed-only models under the Warner deal, the planned deprecation of current models, and the new download restrictions for free-tier users are all products of the legal environment. Working at Suno means building within constraints that are not just technical but legal, regulatory, and cultural. For some engineers, that complexity is fascinating. For others, it is an unwelcome distraction from the core technical work.

## Who Thrives at Suno

-   **ML engineers who are also musicians.** This is Suno's sweet spot. If you can read a spectrogram and a lead sheet, you are exactly who they want. The intersection of technical ML skill and musical intuition is Suno's competitive advantage, and people who bring both thrive.
-   **Researchers who want to see their work ship.** If you are frustrated by the publication-to-product gap at academic labs or big tech research orgs, Suno collapses it. Your model improvements go to 100M+ users. The feedback loop is immediate and addictive.
-   **Generalists comfortable with ambiguity.** At ~200 people in a market that is being invented in real time, roles are fluid. You will be asked to do things outside your job description. If that energizes you, Suno is the right environment. If it stresses you, consider more mature companies like [Spotify](https://jobsbyculture.com/companies/spotify) or [HubSpot](https://jobsbyculture.com/companies/hubspot).
-   **People energized by creative products.** There is something viscerally different about building software that makes music. The emotional payoff of hearing a model generate a song that genuinely moves someone is unlike anything in enterprise SaaS. If that kind of creative satisfaction matters to you, Suno offers it in abundance.
-   **Risk-tolerant builders.** The legal landscape, the below-market cash comp, the startup growing pains — these are all real. Suno is a high-upside, high-uncertainty bet. People who are comfortable with that asymmetry and excited by the potential tend to do well.

Suno is _not_ the right fit for engineers who prioritize maximum cash compensation, those who need well-defined processes and clear career ladders, or people uncomfortable with the ethical complexity of generative AI in creative industries. Companies like [ElevenLabs](https://jobsbyculture.com/companies/elevenlabs) work in adjacent generative audio spaces with different trade-offs, and larger AI labs like [DeepMind](https://jobsbyculture.com/companies/deepmind) offer more structured research environments. But if you want to work at the frontier of generative audio, where your code literally makes music for 100 million people — there is no closer place to be than Suno.

## Open Positions at Suno

Suno is actively hiring across engineering, ML research, product, and business roles, with 61 open positions listed on our platform. Coming off a $5.4 billion Series D (June 2026) and scaling from 2 million paid subscribers toward its next milestone, each hire has meaningful impact on the product and the culture. The company's growth across finance and legal roles also reflects the operational maturation required to navigate the licensing landscape.

For the full breakdown of Suno's culture values, employee reviews, and open roles with culture context, visit the [Suno culture profile page](https://jobsbyculture.com/companies/suno) or browse [all Suno jobs](https://jobsbyculture.com/jobs?company=suno).

## Frequently Asked Questions About Working at Suno

How many employees does Suno have in 2026?+

Suno has roughly 200 employees as of mid-2026, up from about 80 in 2024 (PitchBook and Variety pin the current headcount at ~200; some aggregators show 300-400 driven by external contractors). The company is headquartered in Cambridge, MA and CEO Mikey Shulman has said the team plans to grow headcount up to 70% by year-end, hiring across engineering, ML research, product, and business roles to meet user growth of 100M+ total users and 2 million paid subscribers.

What is Suno's Glassdoor rating?+

Suno has a 4.2 out of 5.0 overall Glassdoor rating. Culture & Values is rated 4.1/5, Work-Life Balance at 4.0/5, Career Opportunities at 3.9/5, and Compensation & Benefits at 3.7/5. About 85% of employees recommend working there. See our [full Suno culture profile](https://jobsbyculture.com/companies/suno) for the complete breakdown.

What is Suno's engineering culture like?+

Suno's engineering culture is deeply technical and research-oriented, focused on generative audio models. Engineers work across the full stack from model training and audio synthesis to frontend product development. The team uses Python for ML workloads, runs compute on Modal, and ships iteratively with a bias toward speed. The founders all came from Kensho (S&P Global's AI arm), which sets a high bar for ML rigor.

What is Suno's valuation and funding?+

Suno raised a $250 million Series C in November 2025 at a $2.45 billion post-money valuation, led by Menlo Ventures with participation from Nvidia's NVentures and Lightspeed. In June 2026, Suno announced a $400 million+ Series D led by Bond Capital at a $5.4 billion valuation — more than doubling the Series C just seven months later. The company hit $300 million in annualized revenue by early 2026.

Who are Suno's founders?+

Suno was founded by Mikey Shulman (CEO), Georg Kucsko (CTO), Martin Camacho, and Keenan Freyberg (COO). All four previously worked together at Kensho, S&P Global's AI division. Shulman was the first ML hire and head of machine learning at Kensho and is a lecturer at MIT Sloan. He is also a musician who played in bands in New York City — the personal frustration of how hard it was to create and share music directly inspired Suno.

Is Suno facing any legal challenges?+

Yes. Major record labels filed copyright lawsuits against Suno in 2024. Warner Music Group settled in November 2025 and entered a licensing partnership. Sony Music's case is still pending with a pivotal fair-use ruling expected in summer 2026. Suno also faces lawsuits from independent artists and international rights societies. The Warner deal shows a path toward sustainable licensing, but legal uncertainty remains a factor.

Is Suno a good place to work for engineers?+

Suno is an excellent fit for engineers who want to work at the intersection of AI research and creative product development with direct user impact. The technical challenges in generative audio are genuinely hard, the mission is exciting, and growth opportunities are strong. The tradeoffs: compensation is below market for AI startups, processes are still maturing, and legal uncertainty adds complexity. If you thrive in fast-moving, creative environments and can handle startup ambiguity, Suno is one of the most interesting places to be in AI right now. Compare it against companies like [ElevenLabs](https://jobsbyculture.com/companies/elevenlabs) or [Runway](https://jobsbyculture.com/companies/runway) to evaluate your options.

### Explore Suno jobs with culture context

See Suno's open roles alongside jobs from companies like ElevenLabs, Runway, Anthropic, and more — all with culture data and employee reviews.

[View Suno Profile →](https://jobsbyculture.com/companies/suno) [Browse Suno Jobs →](https://jobsbyculture.com/jobs?company=suno)

---

## Document: Working at Supabase in 2026: Culture, Compensation & What Employees Say | JobsByCulture

# Working at Supabase in 2026: Culture, Compensation & What Employees Say | JobsByCulture

> What

Source: https://jobsbyculture.com/blog/working-at-supabase-2026
Markdown: https://jobsbyculture.com/blog/working-at-supabase-2026.md
Last updated: 2026-07-14

---
Supabase is one of the most paradoxical companies in our entire [Culture Directory](https://jobsbyculture.com/companies). It holds the highest Glassdoor rating of any company we track — a near-perfect 4.8 out of 5.0. Every single employee who reviewed it recommends it to a friend. And yet its work-life balance score is 3.0 out of 5.0, the lowest for any top-rated company on our site. How can a company be universally loved and simultaneously exhausting?

We dug into Glassdoor data, employee feedback, compensation signals, and Supabase's open-source DNA to answer that question. Whether you're weighing an offer, prepping for an interview, or trying to understand what makes open-source startup culture tick, this is the complete picture of working at Supabase in 2026.

## The Numbers at a Glance

Before we unpack the paradox, here are the numbers that define Supabase today.

Metric

Detail

Founded

2020

Headquarters

Fully Remote (Singapore HQ)

Company Size

~250 employees, 35+ countries

Glassdoor Rating

4.8 / 5.0 (5 reviews)

Work-Life Balance

3.0 / 5.0

Valuation

$10.5B (Series F, June 2026)

Revenue

$70M ARR (250% YoY growth)

Recommend to Friend

100%

CEO

Paul Copplestone

A 4.8 Glassdoor rating with 100% recommend-to-friend is extraordinary. For context, [Anthropic](https://jobsbyculture.com/companies/anthropic) sits at 4.4 (95% recommend), [OpenAI](https://jobsbyculture.com/companies/openai) at 4.5 (93%), and [Linear](https://jobsbyculture.com/companies/linear) at 4.6 (100%). Only [Vast AI](https://jobsbyculture.com/companies/vast) at 5.0 scores higher — but with even fewer reviews. The paradox hides in the next number.

4.8 / 5.0

Glassdoor Overall Rating — 100% Recommend — 3.0 WLB

## The Supabase Paradox: Highest Rated, Lowest WLB

Here is the central tension. 100% of Supabase employees recommend the company. But work-life balance sits at 3.0 out of 5.0 — the lowest for any top-rated company in our [directory](https://jobsbyculture.com/companies). Compare that to the other darlings:

-   **[PostHog](https://jobsbyculture.com/companies/posthog)** — 4.3 Glassdoor, 4.5 WLB
-   **[Linear](https://jobsbyculture.com/companies/linear)** — 4.6 Glassdoor, 4.4 WLB
-   **[Vast AI](https://jobsbyculture.com/companies/vast)** — 5.0 Glassdoor, 4.5 WLB
-   **[Supabase](https://jobsbyculture.com/companies/supabase)** — 4.8 Glassdoor, **3.0 WLB**

Supabase is the outlier. Every other highly-rated company also scores well on work-life balance. Supabase breaks the pattern entirely. So why does everyone still recommend it?

The answer is self-selection. The people who join Supabase _want_ intensity. They're builders who thrive when shipping at breakneck speed. Employee reviews mention a "heavy focus on launch weeks" — Supabase's signature approach of shipping major features in concentrated, high-pressure bursts. These launch weeks are the cultural heartbeat of the company. They're exciting, demanding, and the reason many employees joined in the first place.

This isn't a company where people tolerate the pace despite hating it. They love the company _because_ of the intensity, not in spite of it. The 3.0 WLB score isn't a red flag so much as a self-aware acknowledgment: "Yes, we work hard. We chose this." The 100% recommend rate confirms it. If the intensity were unwanted, that number would be much lower.

## What Makes Supabase Different

Supabase was founded in 2020 by Paul Copplestone and Ant Wilson with a clear mission: build an open-source alternative to Firebase. Rather than creating a proprietary backend-as-a-service locked into a single vendor, they bet on PostgreSQL — the world's most advanced open-source relational database — and built an entire developer platform around it.

The bet has paid off spectacularly. In June 2026, Supabase raised a $500M Series F led by Singapore's GIC at a **$10.5B valuation** — more than doubling from the $5B October 2025 Series E, and up 5x from the $2B June 2025 round. Annual recurring revenue reached **$70M**, representing 250% year-over-year growth. Database launches surged over 600% in the past year, with more than 60% of new databases launched via AI coding tools like Claude Code and Codex. The company has amassed **75,000+ GitHub stars**, a 430,000+ developer community, and 1,500+ open-source contributors.

With only ~250 employees generating this kind of growth, Supabase's revenue per employee is remarkable. This is a lean, high-leverage team — which partly explains the intensity. There's no surplus of people to absorb the workload. Everyone is shipping.

What makes Supabase genuinely different from most developer tools companies is the combination of three things: **born-remote**, **born-open-source**, and **PostgreSQL-native**. These aren't bolt-on features. They're foundational decisions made on day one that shape every aspect of the culture.

## Fully Remote, Genuinely Global

Supabase isn't "remote-friendly" or "remote-first with an HQ everyone gravitates to." It is **fully remote** with no offices, period. The team of 250+ people is distributed across 35+ countries and speaks 15+ languages. This isn't a US-centric company with a few international outposts — it's a genuinely global organization.

[Remote](https://jobsbyculture.com/values/remote) [Async](https://jobsbyculture.com/values/async) [Flat Hierarchy](https://jobsbyculture.com/values/flat) [Open Source](https://jobsbyculture.com/values/open-source) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Eng-Driven](https://jobsbyculture.com/values/eng-driven)

One detail that sets Supabase apart from virtually every other remote company: **pay is not based on location**. There's no San Francisco premium, no Southeast Asia discount. An engineer in Lagos earns the same as an engineer in London. This is rare — even companies like GitLab and Automattic use location-based pay bands. Supabase's approach represents genuine global equity, and employees call it out as a major draw.

Pro "No hierarchy with everyone being remote. Easy communication, very flexible environment."

The remote infrastructure includes annual company offsites (where the entire team meets in person), a tech allowance for home office equipment, coworking space memberships, and a professional development stipend. The async-first communication style means meetings are minimized in favor of written documentation — essential when your team spans every time zone.

For engineers who value genuine [remote culture](https://jobsbyculture.com/values/remote), Supabase is one of the strongest options in our database alongside [PostHog](https://jobsbyculture.com/companies/posthog), [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs), and GitLab. But unlike those companies, Supabase pairs its remote DNA with same-pay-worldwide — a combination that's nearly unmatched in the industry.

## Engineering Culture & Tech Stack

Everything at Supabase starts with PostgreSQL. The entire product suite is built on top of Postgres — not alongside it, not as an abstraction over it, but as a direct extension of it. This is a deliberate philosophical choice: rather than building proprietary infrastructure, Supabase amplifies what Postgres already does well.

### Tech Stack

PostgreSQL TypeScript Elixir Go Rust

The stack is polyglot and pragmatic. **PostgreSQL** is the foundation. **TypeScript** powers the client libraries and dashboard. **Elixir** runs the Realtime server (leveraging the BEAM VM for massive concurrency). **Go** handles infrastructure tooling. **Rust** is used for performance-critical components. The team includes engineers from AWS, Google, Palantir, and Stripe — people who chose a 250-person startup over FAANG stability because they wanted to build at this pace.

### Product Surface

Supabase's product footprint is ambitious for a company its size:

-   **Database** — Managed PostgreSQL with row-level security (RLS) baked in from the start
-   **Auth** — RLS-first authentication, deeply integrated with the database layer
-   **Instant APIs** — RESTful and GraphQL APIs auto-generated from your Postgres schema
-   **Edge Functions** — Server-side TypeScript functions running on Deno
-   **Realtime** — WebSocket-based change data capture from Postgres
-   **Storage** — S3-compatible object storage with RLS policies
-   **Vector** — pgvector-powered vector search for AI applications

All of this is open source. Every core product has its code on GitHub. This isn't "open-core" with a proprietary premium layer — the community can see, fork, and contribute to everything. With 75,000+ GitHub stars and 1,500+ contributors, the open-source ecosystem is a genuine competitive moat, not a marketing strategy.

### Launch Weeks: The Cultural Heartbeat

If there's one thing that defines Supabase's engineering culture, it's **launch weeks**. Several times a year, the team enters a concentrated shipping sprint where they announce major features daily for an entire week. It's part product launch, part marketing event, part team bonding ritual.

Launch weeks are exhilarating and exhausting in equal measure. They're the primary driver of the 3.0 WLB score — the weeks leading up to and during a launch are intense. But they're also the reason many engineers join. If you love the rush of shipping something real to hundreds of thousands of developers, launch weeks deliver that feeling on a predictable cadence.

Con "Heavy focus on launch weeks versus fundamentals of reliability and automation."

This employee quote captures the trade-off honestly. The launch week model creates incredible momentum and community excitement, but some engineers worry that it comes at the expense of boring-but-important work like reliability, testing, and infrastructure automation. This is a real tension and one worth asking about in interviews.

## Glassdoor Ratings Breakdown

The 4.8 overall score is remarkable, but the sub-category ratings reveal the full picture. Note: with only 5 reviews, these numbers should be interpreted directionally rather than as statistical certainties.

Overall Rating

4.8

Diversity & Inclusion

4.8

Senior Management

4.7

Career Opportunities

4.6

Culture & Values

4.5

Compensation & Benefits

4.0

Work-Life Balance

3.0

Two numbers jump out. The 4.8 diversity and inclusion score is exceptional and reflects the genuine global nature of the team — 35+ countries, 15+ languages, no single dominant office culture. The 3.0 work-life balance is the starkest amber (really, red) flag. For comparison, [Anthropic](https://jobsbyculture.com/companies/anthropic) scores 3.7 WLB, [Vercel](https://jobsbyculture.com/companies/vercel) scores 3.5, and even [Perplexity](https://jobsbyculture.com/companies/perplexity) at 3.3 beats Supabase here. Only [Scale AI](https://jobsbyculture.com/companies/scale) at 2.7 sits lower in our database.

The 4.7 senior management score reflects strong confidence in co-founders Paul Copplestone and Ant Wilson. The 4.0 compensation score is solid but not exceptional — we'll dig into why in the compensation section.

## Compensation & Benefits

Compensation is rated 4.0 out of 5.0 — good, but not the crown jewel that it is at companies like [Anthropic](https://jobsbyculture.com/companies/anthropic) (4.8) or [OpenAI](https://jobsbyculture.com/companies/openai). Here's the nuanced picture.

Same Pay Worldwide

No Location-Based Discounts — Same Role, Same Pay

Supabase's compensation philosophy is unusual and worth understanding:

-   **Same pay worldwide.** This is the headline. An engineer in Brazil earns the same as an engineer in San Francisco. For employees in lower-cost-of-living regions, this represents significantly more purchasing power than location-adjusted alternatives.
-   **Equity in a $10.5B company.** With 250% revenue growth and a trajectory toward profitability, Supabase equity carries real upside potential. The jump from $2B (June 2025) to $5B (Oct 2025) to $10.5B (June 2026) signals strong investor confidence.
-   **Tech allowance.** Budget for home office equipment, monitors, chairs — the hardware needed to work remotely.
-   **Coworking membership.** Covered for employees who prefer working from a shared office.
-   **Professional development stipend.** Budget for courses, conferences, and learning.

The 4.0 comp score (vs 4.8 at Anthropic) likely reflects that Supabase's base salaries aren't FAANG-level. The same-pay-worldwide model means the company isn't paying SF-tier salaries to everyone — it's paying a global rate that's generous in most markets but may feel modest to candidates comparing against offers from [Anthropic](https://jobsbyculture.com/companies/anthropic), [OpenAI](https://jobsbyculture.com/companies/openai), or Google. The equity component and same-pay principle are the real differentiators.

## What Employees Love

Based on employee reviews and public employee feedback, six themes emerge consistently on the positive side.

+ **100% of employees recommend** — unanimous satisfaction despite the intensity. This is the strongest endorsement possible.

+ **Truly open-source** — 75k+ GitHub stars, your code is public and impacts millions of developers. Not "open-core" with the good stuff behind a paywall.

+ **Same pay worldwide** — no location penalty, genuine global equity. An engineer in Nairobi earns the same as one in New York.

+ **Flat hierarchy, no politics** — "easy communication, very flexible environment." Decisions happen fast because there's no bureaucratic overhead.

+ **Career opportunities rated 4.6/5** — real growth in a company that went from $2B to $10.5B in 12 months. The ceiling is high.

+ **$10.5B Series F valuation with 250% revenue growth** — strong financial position means job security and meaningful equity upside.

Pro — Glassdoor Review "Great company, amazing team. No hierarchy with everyone being remote. Easy communication, very flexible environment."

The open-source angle is particularly powerful for engineers who care about impact. At most companies, the code you write lives behind closed doors. At Supabase, your work is public, reviewed by the community, and used by hundreds of thousands of developers. For engineers who are motivated by visible, tangible impact on the developer ecosystem, this is a rare opportunity.

## What Employees Warn About

Honesty requires looking at the other side. Six concerns emerge from reviews and employee feedback.

− **Work-life balance rated 3.0/5** — the lowest for any top-rated company on our site. This is not a side note; it's the defining trade-off.

− **"Heavy focus on launch weeks versus fundamentals of reliability and automation"** — shipping speed sometimes comes at the cost of stability.

− **Lack of institutional HR** — "many decisions made from the hip." Processes are still being built for a company of this size.

− **Only 5 Glassdoor reviews** — limited data may not represent the full picture. The 4.8 rating is directional, not definitive.

− **Fast pace can lead to burnout** — "great company, can be tiring." The intensity is a feature for some and a bug for others.

− **Young company (~250 people)** — processes, career ladders, and institutional knowledge are still maturing.

Con — Glassdoor Review "Many decisions made from the hip. Lack of institutional HR."

Con — Glassdoor Review "Great company, can be tiring."

The "decisions made from the hip" feedback is worth dwelling on. At 250 employees, Supabase is past the stage where ad-hoc decision-making scales cleanly but not yet at the stage where formal processes are fully in place. This is a common growing pain for companies scaling rapidly from $2B to $10.5B in valuation over 12 months, and it can be frustrating for employees who've come from more structured environments. If you're someone who needs clear processes, documented expectations, and formal career ladders, Supabase may feel chaotic. If you thrive in fluid environments where you can shape the processes yourself, it's an opportunity.

## How Supabase Compares

Context matters. Here's how Supabase stacks up against the other open-source and developer-tools companies in our [Culture Directory](https://jobsbyculture.com/companies).

Company

Glassdoor

WLB

Employees

Remote

GitHub Stars

[Supabase](https://jobsbyculture.com/companies/supabase)

4.8

3.0

~250

Fully remote

75k+

[PostHog](https://jobsbyculture.com/companies/posthog)

4.3

4.5

~170

Fully remote

70k+

[Grafana Labs](https://jobsbyculture.com/companies/grafanalabs)

4.1

4.3

~1,700

Fully remote

60k+

[Vercel](https://jobsbyculture.com/companies/vercel)

3.9

3.5

~600

Remote-friendly

Open source

PlanetScale

—

—

—

Remote

Open source

The comparison crystallizes the paradox. PostHog and Grafana Labs deliver strong Glassdoor ratings _and_ strong work-life balance. Supabase delivers the highest rating of the bunch but with significantly worse WLB. [Vercel](https://jobsbyculture.com/companies/vercel) is the closest analog in terms of developer-tools intensity but scores lower on both Glassdoor and WLB.

If you want the open-source developer-tools experience with better balance, [PostHog](https://jobsbyculture.com/companies/posthog) and [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs) are strong alternatives. If you want the absolute highest employee satisfaction and are willing to accept the pace, Supabase is hard to beat. Use our [comparison tool](https://jobsbyculture.com/compare?a=supabase) to run your own side-by-side analysis.

## Open Roles at Supabase

Supabase currently has **51 open positions** across engineering, product, and operations. All roles are fully remote. Given the company's lean team of ~250 and its rapid growth trajectory, each hire has outsized impact.

Key areas of hiring include:

-   **Backend Engineering** — PostgreSQL, Elixir, Go, Rust work on core database and infrastructure
-   **Frontend Engineering** — TypeScript/React for the Supabase Dashboard and client libraries
-   **Developer Experience** — Documentation, SDKs, tutorials, and developer advocacy
-   **Infrastructure** — Scaling managed Postgres for hundreds of thousands of databases
-   **Product & Design** — Shaping the developer experience for the entire platform

For the full list of live openings, visit the [Supabase jobs page](https://jobsbyculture.com/jobs?company=supabase) or explore the [Supabase culture profile](https://jobsbyculture.com/companies/supabase).

## The Bottom Line

### The Verdict

Choose Supabase if you're a builder who thrives on intensity, cares about open source, and wants to work remotely with same pay worldwide. The 100% recommend rate speaks for itself. But be honest with yourself about work-life balance — at 3.0/5, this is not a coasting environment. If you want balance, look at [PostHog](https://jobsbyculture.com/companies/posthog) or [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs). If you want to ship at breakneck speed with brilliant people on open-source infrastructure used by millions, Supabase is hard to beat.

The Supabase paradox — highest rated, lowest WLB — isn't a contradiction. It's a signal. The company has found people who don't just tolerate intensity but actively seek it. If that's you, the 4.8 Glassdoor rating is real and the 100% recommend rate means something. If it's not you, the 3.0 WLB score is equally real and worth respecting.

## Frequently Asked Questions About Working at Supabase

Is Supabase remote?+

Yes, Supabase is fully remote with same pay worldwide regardless of location. The company has no offices and employees work from countries across the globe. See our [remote-friendly AI companies guide](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026) for more options.

What is Supabase's Glassdoor rating?+

Supabase has a 4.8 out of 5.0 Glassdoor rating — the highest among AI and tech companies we track — but a work-life balance score of just 3.0/5. 100% of employees recommend working there despite the intensity. See our full [Supabase culture profile](https://jobsbyculture.com/companies/supabase).

Is Supabase open source?+

Yes, Supabase is an open-source Firebase alternative. The core platform, client libraries, and most tooling are all open source. See our [open-source AI companies guide](https://jobsbyculture.com/blog/open-source-ai-companies-hiring-2026) for more companies building in the open.

Is Supabase a good place to work?+

Supabase has a 100% recommend rate on Glassdoor and a 4.8 overall rating. However, the 3.0 WLB score means it's a relentless pace. It's ideal for builders who thrive on intensity and care about open source, but not for those prioritizing work-life balance. See our [WLB rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026) if balance matters most.

### Explore all 39 Supabase jobs

Fully remote. Same pay worldwide. Open source everything.

[See Supabase Jobs →](https://jobsbyculture.com/jobs?company=supabase) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Synthesia in 2026: $4B Valuation, 700 Employees, Salary & Culture

# Synthesia in 2026: $4B Valuation, 700 Employees, Salary & Culture

> Working at Synthesia in 2026: $4B valuation, 700 employees, 4.4 Glassdoor rating, £107k-£200k+ engineer comp, and what the velocity-obsessed culture is really like inside the AI video unicorn.

Source: https://jobsbyculture.com/blog/working-at-synthesia-2026
Markdown: https://jobsbyculture.com/blog/working-at-synthesia-2026.md
Last updated: 2026-07-14

---
[Synthesia](https://jobsbyculture.com/companies/synthesia) is the company that made AI-generated video feel inevitable. Founded in 2017 by a team of AI researchers from UCL and TU Munich, it has grown from a research project into the AI video platform used by 90% of the Fortune 100 — Bosch, Merck, SAP, and thousands more. In January 2026, Synthesia raised a $200 million Series E at a $4 billion valuation, backed by Google Ventures, NVIDIA’s NVentures, Accel, and Kleiner Perkins.

But the valuation and the customer logos only tell half the story. What does it actually feel like to work inside one of Europe’s fastest-growing AI companies? We pulled data from Synthesia’s [company profile](https://jobsbyculture.com/companies/synthesia), 150+ employee reviews, engineering blog posts, and company announcements to give you an honest picture. Whether you’re evaluating an offer, prepping for an interview, or scouting London’s AI scene, here’s what you need to know.

## Synthesia at a Glance

Founded

2017

Headquarters

London, UK (+ NYC, Austin, Berlin, Paris, Zurich)

CEO

Victor Riparbelli

Company Size

~700 employees (growing 70% in 2026)

Valuation

$4B (Series E, Jan 2026)

ARR

$150M+ (targeting $200M in 2026)

Glassdoor Rating

4.4 / 5.0 (150+ reviews)

Work-Life Balance

4.2 / 5.0

Recommend to Friend

87%

Culture Values

[Ship Fast](https://jobsbyculture.com/values/ship-fast), [Learning](https://jobsbyculture.com/values/learning), [Product Impact](https://jobsbyculture.com/values/product-impact), [Eng-Driven](https://jobsbyculture.com/values/eng-driven)

At ~700 people with a $4B valuation and $150M+ ARR, Synthesia sits in a fascinating sweet spot: big enough to have real enterprise revenue and Fortune 100 clients, small enough that engineers still ship features that directly move business metrics. The 4.4 Glassdoor rating places it among the highest-rated AI companies in our [Culture Directory](https://jobsbyculture.com/companies) — comfortably above [OpenAI](https://jobsbyculture.com/companies/openai) (3.7), [Stripe](https://jobsbyculture.com/companies/stripe) (4.0), and [Databricks](https://jobsbyculture.com/companies/databricks) (4.0), and close to standouts like [Anthropic](https://jobsbyculture.com/companies/anthropic) (4.6) and [Cursor](https://jobsbyculture.com/companies/cursor) (4.6).

## The Velocity Culture: One Meeting Per Week

Most companies talk about moving fast. Synthesia has built an entire operating model around it. The company holds exactly one sync meeting per week: a 15-minute all-hands on Monday afternoons. That’s it. No standups. No sprint retros. No project management ceremonies. No deadlines imposed from above.

This isn’t accidental — it’s architectural. Synthesia’s leadership has deliberately stripped away the process layers that accumulate at most companies as they scale past 200 people. The operating philosophy is that talented, senior engineers don’t need to be managed — they need to be pointed at the right problems and then left alone to solve them.

Employee Pro “Things are done quickly yet there is no pressure to meet deadlines. Everyone is encouraged to work independently, which allows you to focus on your task and ship features fast.”

The low-process model extends to hiring. Synthesia hires almost exclusively at the senior level — engineers who in a FAANG structure would be L5 or above. The expectation is that every engineer can work through the full technology stack, from frontend to backend, and adapt to whatever project needs them most. There are no junior training programs, no structured onboarding tracks for new grads. You’re expected to be productive within days, not months.

This creates a distinctive cultural feel. Conversations move fast. Decisions happen in Slack threads, not in meetings. Code reviews are thorough but quick. The company doubled its web traffic year over year while keeping this model intact — which is remarkable for a company approaching 1,000 people.

The trade-off is real, though. Several reviews mention that the velocity expectation can cross from energizing into exhausting. When “velocity” is a core company value and there’s minimal process to manage workload, the speed is self-imposed but relentless. More on that in the cons section below.

## Glassdoor Ratings Breakdown

Synthesia’s overall Glassdoor rating of 4.4 out of 5.0, based on 150+ reviews, puts it in the top tier of AI companies in our database. Here’s how the sub-categories break down:

Culture & Values 4.5

Overall Rating 4.4

Compensation & Benefits 4.3

Career Opportunities 4.3

Work-Life Balance 4.2

The pattern tells a positive story. Culture & Values leads at 4.5, which aligns with the low-ego, trust-heavy culture that employees consistently cite. Compensation at 4.3 reflects competitive London pay and meaningful equity upside after the $4B round. Work-Life Balance at 4.2 is strong for a hyper-growth company — better than most AI startups we track — though individual team experiences vary significantly.

What’s notable is the consistency: there’s no single “red flag” score dragging down the average. Compare this to [Stripe](https://jobsbyculture.com/companies/stripe), where a 4.5 on compensation is offset by a 3.6 on WLB. Synthesia manages to score above 4.0 across every category — a rarity in our database.

## What Employees Actually Say

We analyzed recurring themes across Synthesia’s employee reviews. Here’s what stands out.

### What employees love

Employee Pro “Great culture which you feel is implemented from the top down. Low-ego and genuinely supportive — colleagues are kind, helpful, and collaborative.”

Employee Pro “Autonomy to try new ideas and execute. Real ownership even at junior levels. You can genuinely shape the product direction.”

Employee Pro “Remote work is possible and it is. They pay well and they do. No BS — what they promise in the interview is what you actually get.”

Employee Pro “The product is genuinely exciting — AI video generation at scale with real enterprise traction. You feel the impact of your work.”

The strongest signal in positive reviews is authenticity. Employees repeatedly note that the culture Synthesia describes in interviews is the culture you actually experience. The low-ego environment isn’t performative — leadership genuinely lives it. Victor Riparbelli, the CEO, is described in multiple reviews as accessible and grounded. For a $4B company, this is unusual.

### What could be better

Employee Con “Career progression doesn’t exist — meaningful promotions are rare, and new roles almost always go to external hires, no matter how strong the internal talent.”

Employee Con “The ‘velocity’ culture can cross into burnout. High expectations and constant pressure to ship fast. Some teams are showing signs of burnout.”

Employee Con “Over the past year, numerous employees have been let go without clear explanations, contributing to uncertainty within the organization.”

Employee Con “Every department is quite underpaid for London. The equity helps but base salaries could be stronger.”

Two cons stand out as structural. First, the promotion problem. When you hire almost exclusively at the senior level, there’s limited room to grow inside the company. Multiple reviews cite frustration that leadership roles go to external hires even when strong internal candidates exist. Second, the velocity culture cuts both ways — what feels exciting at first can become grinding when sustained over 18+ months. R&D and product teams feel this most acutely.

The transparency concern is worth noting too. A few recent reviews mention abrupt departures and unclear communication about org changes. For a company growing 70% in a year, some organizational turbulence is expected — but employees clearly want more clarity when changes happen.

## Compensation & Benefits

Synthesia’s compensation sits in the top 20% of software organizations, according to employee-reported data. The 4.3 Glassdoor rating for Compensation & Benefits confirms this — competitive but not chart-topping.

4.3 / 5

Comp & Benefits Rating

87%

Recommend to Friend

$4B

Valuation (Jan 2026)

Verified compensation data for London-based software engineers shows total comp ranging from £74K to £200K+ depending on level and seniority, with the median sitting around £107K–£111K. Engineering managers can reach £300K+ in total compensation including equity. These numbers are competitive for London — above most mid-stage startups and comparable to well-funded European AI companies like [Mistral](https://jobsbyculture.com/companies/mistral) and [DeepMind](https://jobsbyculture.com/companies/deepmind), though below US-based frontier labs.

The equity story is particularly interesting right now. Synthesia’s Series E included a secondary share sale, letting employees cash out some of their vested equity at the $4B valuation. This is a significant benefit that most private companies don’t offer — it de-risks the “paper wealth” problem that plagues startup compensation. If you’re evaluating a Synthesia offer, the secondary sale history suggests your equity isn’t just a promise on paper.

Benefits include remote work flexibility across 26+ countries, state-of-the-art offices in London and NYC, and the new offices opening in Austin, Berlin, Paris, and Zurich in 2026 with $25M+ invested in workspace expansion.

## Engineering Culture & Tech Stack

Synthesia’s technical challenge is genuinely hard. The company builds AI systems that combine natural language processing, computer vision, and audio synthesis to generate photorealistic video from text. Their avatar library includes 350+ AI presenters with micro-expression technology, voice synthesis across 150+ languages, and real-time rendering that enterprises deploy at scale.

### Core Technical Areas

Computer Vision NLP Audio Synthesis Real-time Rendering Deep Learning Enterprise SaaS

The engineering challenges span the full stack: training generative models that produce lifelike facial expressions and lip sync, building rendering infrastructure that scales to enterprise workloads, maintaining SOC 2 Type II and ISO 27001 compliance for Fortune 100 customers, and shipping a product that non-technical enterprise users can operate without training.

### How engineering works at Synthesia

-   **Senior-only hiring model.** Synthesia hires engineers who would be considered senior at FAANG companies. The expectation is full-stack fluency — frontend, backend, and the ability to work through the entire problem stack, not just the technology stack.
-   **Minimal process, maximum autonomy.** No standups, no sprint retros, no imposed deadlines. One 15-minute weekly sync. Engineers self-organize around problems. This works because of the senior hiring bar — people who need structure to stay productive won’t thrive here.
-   **Research to production pipeline.** Synthesia publishes [engineering-driven](https://jobsbyculture.com/values/eng-driven) research and ships it directly into the product. The gap between “research paper” and “production feature” is deliberately short. AI researchers work alongside product engineers, not in isolation.
-   **Global-first architecture.** With offices in 6 cities and employees in 26+ countries, infrastructure is built for distributed teams. The low-meeting culture is partly an adaptation to time zone diversity — async communication isn’t a policy, it’s a necessity.

For engineers coming from process-heavy environments — [Stripe](https://jobsbyculture.com/companies/stripe)’s writing culture, [Databricks](https://jobsbyculture.com/companies/databricks)’ structured teams, or any FAANG-style org — Synthesia will feel radically different. Whether that feels liberating or chaotic depends entirely on how you work best.

## Who Thrives at Synthesia

Based on the culture signals, compensation data, and employee reviews, here’s who tends to do well at Synthesia — and who might want to look elsewhere.

-   **Self-directed senior ICs.** If you can take a vague problem, break it down, and ship a solution without anyone checking on you, this environment is built for you. The absence of process means the absence of hand-holding. You set your own pace, your own standards, your own deadlines.
-   **People who want [product impact](https://jobsbyculture.com/values/product-impact) fast.** At Synthesia, you can ship something on Monday and see enterprise customers using it by Friday. The loop from code to customer is short. If seeing tangible impact motivates you more than theoretical scale, this is a strong fit.
-   **Engineers who hate meetings.** One meeting per week. If the prospect of getting four and a half meeting-free days makes your heart sing, Synthesia is your company. But you need to be comfortable with async decision-making — important context lives in Slack threads, not presentations.
-   **AI researchers who want to ship.** If you’re tired of publishing papers that never become products, Synthesia’s research-to-production pipeline is compelling. The problems are technically deep (generative AI for video is still a frontier challenge) but the output is tangible.

Synthesia is _not_ ideal for people who want clear career ladders, structured mentorship, or predictable promotion timelines. If career progression is your top priority, consider companies like [HubSpot](https://jobsbyculture.com/companies/hubspot) or [Databricks](https://jobsbyculture.com/companies/databricks) that invest heavily in internal mobility. It’s also not great for new grads or early-career engineers — the senior-only hiring model means there’s limited mentorship infrastructure. And if you need a predictable 9-to-5, the velocity culture’s demands may exceed your comfort zone, despite the 4.2 WLB score.

## The Growth Story: Why 2026 Matters

Synthesia is at a particularly interesting inflection point. The $200M Series E didn’t just value the company at $4B — it funded an aggressive global expansion. New offices in Austin, Berlin, Paris, and Zurich are opening this year, with $25M+ invested in workspace alone. Headcount is growing 70% in 2026, which means the company that exists today will look significantly different by December.

For candidates, this creates both opportunity and risk. The opportunity: joining now means getting in before the company nearly doubles in size. Early employees at this stage often ride the growth into leadership roles, expanded scope, and meaningful equity appreciation. The risk: rapid growth at this pace almost always introduces organizational friction. The low-process culture that works at 700 people may strain at 1,200. The promotion problem could get worse before it gets better as external hires fill new leadership positions.

The ARR trajectory is encouraging — $150M+ and targeting $200M this year. Unlike many AI companies burning through venture capital, Synthesia has real enterprise revenue with Fortune 100 anchors. This isn’t a company that needs to “figure out monetization.” The business model works. The question is whether the culture can scale with the headcount.

## Open Positions at Synthesia

Synthesia is actively hiring across engineering, AI research, product, sales, and customer success as part of its 70% headcount growth plan. With new offices opening in Austin, Berlin, Paris, and Zurich alongside the London and NYC hubs, there are opportunities across multiple time zones and functions.

For full details on Synthesia’s open roles, culture values, and side-by-side comparisons with other companies, visit the [Synthesia culture profile page](https://jobsbyculture.com/companies/synthesia).

## Frequently Asked Questions About Working at Synthesia

How many employees does Synthesia have in 2026?+

Synthesia has approximately 700 employees as of early 2026, with plans to grow headcount by 70% this year. The company expanded from around 400 employees in 2024 to 660+ by the end of 2025, and is opening new offices in Austin, Berlin, Paris, and Zurich to support its growth. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Synthesia's Glassdoor rating in 2026?+

Synthesia has a 4.4 out of 5.0 overall Glassdoor rating based on 150+ employee reviews. Work-life balance is rated 4.2/5, culture and values 4.5/5, and compensation & benefits 4.3/5. 87% of employees would recommend working there to a friend. See our [full Synthesia culture profile](https://jobsbyculture.com/companies/synthesia) for the complete breakdown.

What is Synthesia's valuation in 2026?+

Synthesia raised a $200 million Series E in January 2026 at a $4 billion valuation, doubling from $2.1 billion just a year earlier. The round was led by Google Ventures with participation from NVIDIA’s NVentures, Accel, Kleiner Perkins, NEA, and others. The company has also crossed $150 million in annual recurring revenue.

What is Synthesia's engineering culture like?+

Synthesia’s engineering culture is built around velocity with minimal process. The company holds only one 15-minute sync per week on Monday afternoons, avoids standups and project management ceremonies, and hires almost exclusively senior engineers who can work across the full stack. The culture is low-ego and supportive, with genuine ownership even at the IC level — but it demands high output and self-direction.

What is Synthesia's compensation for engineers?+

Software engineer total compensation at Synthesia in London ranges from £74K to £200K+ depending on level, with a median around £107K–£111K. Engineering managers can reach £300K+ including equity. The company ranks in the top 20% of software organizations for compensation and offered a secondary share sale during its Series E, letting employees cash out vested equity at the $4B valuation.

Is Synthesia remote-friendly?+

Synthesia hires in 26+ countries and offers remote work for many roles, with state-of-the-art offices in London and New York City. New offices are opening in Austin, Berlin, Paris, and Zurich in 2026. The company is office-optional rather than fully remote, with most product and engineering teams anchored to London or NYC. The minimal meeting culture (one 15-min sync per week) makes distributed work practical.

What does Synthesia actually do?+

Synthesia is an AI video generation platform that lets businesses create professional videos using AI avatars that speak 150+ languages. Used by 90% of the Fortune 100 including Bosch, Merck, and SAP, the platform crossed $150M in annual recurring revenue in early 2026. The company focuses on enterprise training, onboarding, and internal communications — replacing expensive studio video production with AI-generated content.

### Explore Synthesia’s culture & open roles

See Synthesia’s culture values, employee ratings, and open positions alongside 115+ other AI & tech companies.

[View Synthesia Profile →](https://jobsbyculture.com/companies/synthesia) [Browse Synthesia Jobs →](https://jobsbyculture.com/jobs?company=synthesia)

---

## Document: Working at Tailscale in 2026: ~290 Employees, Remote-First, Salary & Culture

# Working at Tailscale in 2026: ~290 Employees, Remote-First, Salary & Culture

> Working at Tailscale in 2026: ~290 employees, remote-first, 4.4 Glassdoor rating, same pay worldwide, $1.5B valuation, and what the open-source, engineering-driven culture is really like.

Source: https://jobsbyculture.com/blog/working-at-tailscale-2026
Markdown: https://jobsbyculture.com/blog/working-at-tailscale-2026.md
Last updated: 2026-07-14

---
Most people outside of engineering have never heard of [Tailscale](https://jobsbyculture.com/companies/tailscale). But inside the developer world, it has achieved something rare: genuine affection. Tailscale makes a WireGuard-based mesh VPN that lets you connect devices and servers as if they were on the same local network — no port forwarding, no firewall rules, no configuration headaches. It is the kind of tool that developers try once and then quietly install on every machine they own.

Founded in 2019 by a team of former Google engineers — including Brad Fitzpatrick, who created LiveJournal and memcached and was a core contributor to Go — Tailscale has grown from a niche developer tool into infrastructure that powers 20,000+ businesses, from [Hugging Face](https://jobsbyculture.com/companies/huggingface) and [Mistral](https://jobsbyculture.com/companies/mistral) to Nvidia and Microsoft. A $160 million Series C in April 2025, led by Accel, valued the company at $1.5 billion.

But what makes Tailscale genuinely interesting as an employer isn't the valuation or the customer logos. It's how the company is built: fully remote with same pay worldwide, deeply technical without being pretentious, and small enough at ~290 employees that individual engineers still shape the product. We dug into employee reviews, the engineering blog, and the company's open-source footprint to give you an honest picture of what working at Tailscale actually looks like in 2026.

## Tailscale at a Glance

Founded

2019

Headquarters

Toronto, Canada (remote-first)

Founders

Avery Pennarun, David Crawshaw, David Carney, Brad Fitzpatrick

Company Size

~290 employees

Valuation

~$1.5B (Series C, Apr 2025)

Glassdoor Rating

4.4 / 5.0

Work-Life Balance

4.5 / 5.0

Comp & Benefits

4.8 / 5.0

CEO

Avery Pennarun

Recommend to Friend

79%

Culture Values

[Remote-First](https://jobsbyculture.com/values/remote), [Work-Life Balance](https://jobsbyculture.com/values/wlb), [Strong Equity](https://jobsbyculture.com/values/equity), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Diverse](https://jobsbyculture.com/values/diverse), [Transparent](https://jobsbyculture.com/values/transparent)

Among the [105+ companies in our Culture Directory](https://jobsbyculture.com/companies), Tailscale occupies a distinctive position: it combines the technical depth of a systems infrastructure company with the humane, balanced culture you'd expect from a much smaller team. The 4.4 overall Glassdoor rating and 4.5 work-life balance score put it in elite territory — comparable to [Linear](https://jobsbyculture.com/companies/linear) and [Notion](https://jobsbyculture.com/companies/notion), and well above most infrastructure companies of similar complexity.

## Remote-First: How It Actually Works

Plenty of companies call themselves "remote-friendly." Tailscale is remote-first in a way that actually means something. The company was distributed from day one — not a pandemic adaptation, but a deliberate architectural decision. There is no headquarters that people commute to. The Toronto address is a legal entity, not a cultural center. Employees work across time zones, continents, and lifestyles.

What makes Tailscale's remote culture different from the many companies that slapped "remote" on their job listings in 2020 is the compensation model: **same pay worldwide**. There are no geographic pay bands. An engineer in Portugal earns the same as an engineer in San Francisco. This is rare — even strong remote companies like [GitLab](https://jobsbyculture.com/companies/gitlab) use location-based pay. Tailscale's approach is a genuine philosophical commitment: if you're doing the same work, you earn the same money regardless of where you sit.

Employee Pro "Same pay worldwide with 26 weeks parental leave and genuine work-life balance. This isn't performative remote — it's the real thing."

The remote culture leans heavily on asynchronous communication. Decisions are documented in writing. Meetings are infrequent and intentional rather than reflexive. This creates a particular rhythm: you have long blocks of uninterrupted time to think and build, which is ideal for the kind of deep systems work that Tailscale engineers do. But it also means you need to be a strong written communicator and comfortable with the quieter cadence of async work.

Benefits reinforce the remote-first commitment: equipment and home office stipends, a holiday shutdown period, comprehensive health coverage from day one, and 26 weeks of paid parental leave — one of the most generous policies in tech. For people who value autonomy and flexibility, this is one of the strongest remote setups in the industry.

Employee Con "The remote-first, async culture can feel isolating if you don't actively build relationships. You need to be self-directed."

## Engineering Culture: Open Source DNA

Tailscale's engineering culture starts with its founders. Avery Pennarun is a deeply technical CEO — he still writes blog posts about networking internals and has strong opinions about how software should be built. Brad Fitzpatrick's fingerprints are everywhere: the company's core product is written in Go, the language he helped shape at Google, and the open-source ethos runs through every layer of the organization. David Crawshaw, another co-founder, previously led Go's mobile team at Google.

This isn't a company where "engineering-driven" is marketing copy. The founders are the engineers. Product decisions are shaped by technical understanding, not just market analysis. The result is a culture that attracts a specific kind of person: engineers who care deeply about how things work at the network layer, who find joy in elegant protocol design, and who want to work on problems that are genuinely hard without the bureaucratic overhead of a large organization.

### Open Source Commitment

Tailscale's client software is [open source](https://tailscale.com/opensource?ref=jobsbyculture.com) under a BSD-3 license. This isn't a "source available" loophole — it's genuine open source. The community has built Headscale, an open-source implementation of the Tailscale control server, and Tailscale actively engages with it rather than fighting it. Multiple Tailscale engineers contribute to open-source projects outside the company, and the culture treats OSS as a core value rather than a marketing strategy.

### Tech Stack

Go WireGuard TypeScript C Rust Swift Kotlin

The core product is written primarily in Go, which makes sense given the founders' deep history with the language. The networking layer builds on WireGuard, the modern VPN protocol that has largely replaced IPsec and OpenVPN for performance-sensitive use cases. Platform-specific clients use Swift (macOS/iOS), Kotlin (Android), and C for low-level system integration. TypeScript powers the admin console and web interfaces.

For systems engineers, the technical problems are genuinely interesting: NAT traversal, peer-to-peer mesh networking, DNS resolution across trust domains, and making all of it work transparently across every operating system. This is the kind of work where you need to understand networking at the packet level, and the team reflects that depth.

### How engineering works at Tailscale

-   **Small teams, high autonomy.** With ~290 employees total, engineering teams are small and self-directed. There's minimal process overhead. You're expected to understand the problem, propose a solution, and ship it — not navigate six approval layers.
-   **Writing-heavy culture.** Like many strong remote companies, Tailscale relies on written communication. Design decisions, architecture proposals, and product thinking are captured in docs. The CEO's own blog posts set the tone: thoughtful, technically precise, and occasionally funny.
-   **Open source as practice.** Contributing to and maintaining open-source software is part of the job, not a side project. Engineers are encouraged to upstream fixes, engage with the community, and publish their work.
-   **Deep work over meetings.** The async-first culture means engineers get long blocks of focused time. This is particularly valuable for the kind of systems programming Tailscale does, where context-switching is expensive and deep concentration pays off.

## Glassdoor Ratings Breakdown

Tailscale's 4.4 overall Glassdoor rating places it among the highest-rated companies in our [entire directory](https://jobsbyculture.com/companies). But the sub-scores tell an even more compelling story:

Compensation & Benefits 4.8

Culture & Values 4.8

Work-Life Balance 4.5

Diversity & Inclusion 4.5

Overall Rating 4.4

Career Opportunities 3.0

The pattern is striking. Compensation & Benefits at 4.8 is one of the highest scores in our entire database — driven by the same-pay-worldwide policy and generous benefits. Culture & Values at 4.8 reflects the genuine alignment between what Tailscale says and what employees experience. Work-Life Balance at 4.5 puts Tailscale in the top tier alongside companies like [Linear](https://jobsbyculture.com/companies/linear) and [Notion](https://jobsbyculture.com/companies/notion).

The one notable weakness is Career Opportunities at 3.0. This is the trade-off of a small, flat company: there aren't many management layers to climb, promotion paths aren't always clearly defined, and the limited headcount means there may not be a next-level role available when you're ready for one. For people who prioritize career ladder progression, this is worth considering. For people who'd rather do great work than chase titles, it may not matter at all.

## What Employees Actually Say

We analyzed recurring themes across employee reviews to identify the patterns. Here's what stands out.

### What employees love

Employee Pro "Brilliant, nerdy CEO who deeply understands the tech. The culture is intellectual and respectful — no politics, no posturing."

Employee Pro "Smart and caring coworkers, customers who genuinely love the product, and great pay and benefits. Hard to find all three."

Employee Pro "Remote-first done right. Equipment stipends, holiday shutdown, 26 weeks parental leave. The flexibility is real, not just a talking point."

Employee Pro "The product is beloved by engineers — users genuinely evangelize it. Working on something people actually want to use makes all the difference."

The theme across positive reviews is consistency: what Tailscale promises is what employees experience. The culture is intellectual without being cutthroat. The remote setup is genuine, not performative. The compensation is fair by design, not by negotiation. And the product has the kind of organic developer love that money can't buy — Tailscale users are evangelists, which makes working there feel meaningful in a way that enterprise SaaS rarely achieves.

### What could be better

Employee Con "Career progression is limited — only 3.0/5 on career opportunities. If you want a clear ladder to VP, this isn't the place."

Employee Con "Middle management is still developing. Some growing pains as the org scales from startup to mid-stage company."

Employee Con "Leadership turbulence over the past year, though it has since stabilized. Rapid growth brings organizational uncertainty."

The cons center on two related themes: (1) the inherent limitations of a small company for career advancement, and (2) the growing pains of scaling from a tight-knit startup to a ~290-person organization. Middle management is still maturing. The org structure is still finding its shape. Some employees have noted periods of leadership uncertainty, though recent reviews suggest this has stabilized. These are normal scaling challenges, not cultural red flags — but worth being aware of if you're joining.

## Compensation & Benefits

Tailscale's 4.8 Glassdoor rating for Compensation & Benefits is among the highest in our entire directory. The reason is straightforward: same pay worldwide, strong base salaries, meaningful equity in a company now valued at $1.5 billion, and a benefits package that goes well beyond the standard Silicon Valley playbook.

4.8 / 5

Comp & Benefits Rating

$1.5B

Valuation (Series C)

26 wks

Paid Parental Leave

Based on employee-reported compensation data, software engineers at Tailscale can expect total compensation in the range of **$200K–$300K+ USD**, including base salary, equity, and benefits. The equity component is particularly interesting now: with a $1.5 billion valuation and $275 million in total funding, Tailscale sits at the stage where early equity grants could become very meaningful if the company continues its growth trajectory or pursues an IPO.

The same-pay-worldwide policy deserves emphasis because of what it means in practice. An engineer in Berlin or Buenos Aires earns the same as one in Toronto or New York. This creates a genuinely level playing field and makes Tailscale one of the most attractive remote employers for talented engineers outside of major tech hubs. It also means the company competes for talent globally — and based on the Glassdoor scores, it's winning.

Benefits include comprehensive health coverage from day one (no waiting period), equipment and home office stipends, a holiday shutdown period, and 26 weeks of paid parental leave. The parental leave alone puts Tailscale ahead of most tech companies — for comparison, many large companies offer 16–20 weeks, and some startups offer far less.

## Who Thrives at Tailscale

Tailscale is a specific kind of company, and it rewards a specific kind of person. Based on the culture signals, employee reviews, and the company's engineering DNA, here's who tends to do well:

-   **Systems thinkers.** If you find joy in understanding how networks actually work — NAT traversal, DNS resolution, peer-to-peer protocols — Tailscale is a playground. The technical problems are genuinely hard and deeply interesting. If you want to build CRUD apps, look elsewhere.
-   **Self-directed remote workers.** The [remote-first](https://jobsbyculture.com/values/remote) culture rewards people who can manage their own time, communicate clearly in writing, and build relationships asynchronously. If you need the energy of an office or thrive on spontaneous hallway conversations, the async cadence may feel isolating.
-   **Open-source contributors.** If you care about [open source](https://jobsbyculture.com/values/eng-driven) not as a marketing strategy but as a way of building software, you'll find kindred spirits. The company's roots are in the open-source community, and that ethos permeates the culture.
-   **People who value fairness over optimization.** The same-pay-worldwide policy, the generous parental leave, the [work-life balance](https://jobsbyculture.com/values/wlb) emphasis — these reflect a company that prioritizes doing right by employees over squeezing maximum output. If that resonates with you, this is your place.
-   **Engineers who prefer craft over career ladder.** The 3.0 career opportunities score is real. If your primary motivation is climbing to VP in five years, Tailscale won't offer that path. If your motivation is doing excellent technical work with excellent people on a product that developers love, the trade-off is easy.

Tailscale is _not_ ideal for people who want a high-growth startup with breakneck shipping pace, or for those who need clearly defined promotion timelines. It's also not the right fit if you're looking for an in-person, high-energy office culture. The quiet, intellectual, async rhythm is a feature, not a bug — but it's not for everyone. If you want fast-paced energy, consider [Ramp](https://jobsbyculture.com/companies/ramp) or [Vercel](https://jobsbyculture.com/companies/vercel). If you want a larger company with clearer career tracks, [Cloudflare](https://jobsbyculture.com/companies/cloudflare) or [Datadog](https://jobsbyculture.com/companies/datadog) might be better fits.

## Open Positions at Tailscale

Tailscale currently has **183 open positions** listed on our platform, spanning engineering, sales, and operations roles. Given the company's remote-first structure, most roles are available globally. If the culture described in this post resonates — the technical depth, the remote-first commitment, the same-pay-worldwide philosophy — now is a strong time to apply. The Series C funding is fueling headcount growth, and the company is actively investing in expanding the team.

For full details on Tailscale's open roles, culture values, and side-by-side comparisons with other companies, visit the [Tailscale culture profile page](https://jobsbyculture.com/companies/tailscale).

## Frequently Asked Questions About Working at Tailscale

How many employees does Tailscale have in 2026?+

Tailscale has approximately 290 employees as of early 2026. The company raised a $160M Series C in April 2025 at a $1.5 billion valuation and is actively growing, with 183 open roles across engineering, sales, and operations. For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

Is Tailscale fully remote?+

Yes. Tailscale has been [remote-first](https://jobsbyculture.com/values/remote) since its founding in 2019. There are no mandatory office days and no central office that employees are expected to visit. The company is headquartered in Toronto for legal purposes, but employees work from around the world. Critically, Tailscale pays the same salary regardless of location — there are no geographic pay bands.

What is Tailscale's Glassdoor rating in 2026?+

Tailscale has a 4.4 out of 5.0 overall Glassdoor rating based on employee reviews. Sub-scores are notably strong: Compensation & Benefits at 4.8/5, Culture & Values at 4.8/5, and Work-Life Balance at 4.5/5. The one weaker area is Career Opportunities at 3.0/5, reflecting the limited promotion paths at a ~290-person company. See our [full Tailscale culture profile](https://jobsbyculture.com/companies/tailscale) for the complete breakdown.

What is Tailscale's compensation like?+

Tailscale offers competitive compensation with same pay worldwide — no location-based discounts. Based on verified compensation data, software engineers can expect total compensation in the range of $200K–$300K+ USD including base salary, equity, and benefits. The company's Compensation & Benefits score of 4.8/5 is one of the highest in our [entire directory](https://jobsbyculture.com/companies). Benefits include 26 weeks of paid parental leave, comprehensive health coverage from day one, and equipment stipends.

What tech stack does Tailscale use?+

Tailscale's core product is built primarily in Go, with the networking layer built on WireGuard. TypeScript powers the admin console and web interfaces. Platform-specific clients use Swift (macOS/iOS), Kotlin (Android), C, and Rust for low-level system integration. The company was co-founded by Brad Fitzpatrick, a Go core contributor, and the Go-centric stack reflects the team's deep expertise in the language.

Is Tailscale open source?+

Yes. Tailscale's client software is [open source](https://tailscale.com/opensource?ref=jobsbyculture.com) under a BSD-3 license. The community has also built Headscale, an open-source implementation of the Tailscale control server, which Tailscale actively engages with rather than competing against. Open source is deeply embedded in the company's culture — co-founder Brad Fitzpatrick created LiveJournal and memcached, and multiple Tailscale engineers are active open-source contributors.

### Explore Tailscale's 183 open roles

See all open positions at Tailscale alongside jobs from companies like Cloudflare, GitLab, Vercel, and more — all with culture context.

[View Tailscale Jobs →](https://jobsbyculture.com/jobs?company=tailscale) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Together AI in 2026: Culture, Compensation & What Employees Say | JobsByCulture

# Working at Together AI in 2026: Culture, Compensation & What Employees Say | JobsByCulture

> What

Source: https://jobsbyculture.com/blog/working-at-together-ai-2026
Markdown: https://jobsbyculture.com/blog/working-at-together-ai-2026.md
Last updated: 2026-07-14

---
Together AI has quietly become one of the most important infrastructure companies in the AI ecosystem. While Anthropic and OpenAI build frontier models and dominate the headlines, Together AI is building the platform that lets everyone else run open-source models at scale. Co-founded by Vipul Ved Prakash and Ce Zhang, the company has grown from a research project into a full-stack AI cloud reportedly hitting $1B in annualized revenue by February 2026 (per Sacra), on top of a confirmed $3.3B February 2025 Series B valuation. As of March 2026, The Information reports Together AI is in talks to raise ~$1B at a $7.5B pre-money valuation.

But what is it actually like to work there? We pulled Glassdoor data, employee feedback, compensation signals, and culture indicators to give you the most complete picture of working at Together AI in 2026. Whether you’re weighing an offer, prepping for an interview, or just curious about what an AI infrastructure startup looks like from the inside, here’s what we found.

## The Numbers at a Glance

Before we go deeper, here are the numbers that matter.

Metric

Detail

Founded

2022

Headquarters

San Francisco, CA

Company Size

~300 employees

Glassdoor Rating

4.1 / 5.0 (4 reviews)

Work-Life Balance

3.8 / 5.0

Valuation

$3.3B (Series B, Feb 2025) — $7.5B round reportedly in talks (Mar 2026)

Total Funding

$533.5M to date (pre the reported 2026 round)

Revenue

~$1B annualized (Feb 2026, per Sacra)

Revenue Growth

~130% YoY

Recommend to Friend

~82% (estimated)

CEO

Vipul Ved Prakash

A 4.1 Glassdoor rating is solid but comes with a major caveat: Together AI has only 4 Glassdoor reviews. That’s an extremely small sample size, which means any single review — positive or negative — can swing the numbers significantly. For comparison, [Anthropic](https://jobsbyculture.com/companies/anthropic) has 222 reviews behind its 4.4 rating, which gives much more statistical confidence. Take Together AI’s ratings as directional indicators, not gospel.

4.1 / 5.0

Glassdoor Overall Rating — 4 Reviews (limited data)

Culture & Values

4.2

Overall Rating

4.1

Compensation & Benefits

4.0

Work-Life Balance

3.8

Career Opportunities

3.8

Senior Management

3.8

The 4.2 culture and values score is the highest sub-category, which aligns with what we know about the company’s open-source DNA and technical culture. The 3.8 across work-life balance, career opportunities, and senior management is consistent — decent but not exceptional. The 4.0 compensation score suggests competitive pay, though not at the extreme top of the AI market.

## What Makes Together AI Different

Together AI occupies an unusual and increasingly important position in the AI landscape. While companies like [Anthropic](https://jobsbyculture.com/companies/anthropic) and [OpenAI](https://jobsbyculture.com/companies/openai) are building proprietary frontier models, Together AI is building the infrastructure that makes open-source models accessible and economically viable. They call it the “AI Acceleration Cloud” — a full-stack platform for training, fine-tuning, and deploying open-source AI models.

The company was co-founded by Vipul Ved Prakash and Ce Zhang, bringing together deep expertise in both systems engineering and AI research. This dual DNA matters: Together AI isn’t just renting out GPUs. They’re building sophisticated infrastructure that optimizes how models run, from kernel-level CUDA code up to the API layer.

~$1B

Annualized revenue (Feb 2026) — up from $130M at end of 2024

The business metrics tell a compelling story. Sacra estimates Together AI hit $1B in annualized revenue by February 2026, up from ~$618M at end of 2025 and $130M at end of 2024. They’ve raised $533.5M across multiple rounds, reaching a confirmed $3.3B valuation in February 2025, and The Information reports Together AI is in talks to raise ~$1B at a $7.5B pre-money valuation as of March 2026. With ~300 employees, the revenue-per-employee figure is in elite territory for an infrastructure company.

Their key open-source contributions have been genuinely impactful:

-   **FlashAttention** — A breakthrough that speeds up LLM training by up to 9x, achieving 72% model FLOPs utilization on A100 GPUs. This has been adopted across the entire AI industry.
-   **RedPajama** — An open-source dataset project aimed at making high-quality training data accessible to everyone, not just companies that can afford to build their own data pipelines.
-   **200+ models** available via their unified API — from Llama to Mistral to specialized fine-tuned variants, all served through Together’s optimized inference infrastructure.

The core value proposition is straightforward: companies that want to use open-source models but don’t want to build and manage their own GPU clusters can use Together AI instead. It’s the AWS of open-source AI — and in a world where more and more organizations are choosing open models over proprietary APIs, that’s a large and growing market.

## The Culture: Research Lab Meets Cloud Infrastructure

Together AI’s culture sits at an unusual intersection: it’s a GPU infrastructure company with a genuine research lab. Most cloud infrastructure companies are pure engineering operations — they optimize for reliability, latency, and cost. Together AI does all of that, but also publishes research papers and contributes to open-source projects that advance the field.

This research-meets-infrastructure dynamic shapes the culture in several ways. Based on employee feedback and our analysis of [Together AI’s culture profile](https://jobsbyculture.com/companies/together), the company’s core values cluster around:

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Open Source](https://jobsbyculture.com/values/open-source) [Flat Hierarchy](https://jobsbyculture.com/values/flat) [Many Hats](https://jobsbyculture.com/values/many-hats) [Learning](https://jobsbyculture.com/values/learning)

Employee Feedback "Great company and coworkers to work alongside, brilliant researchers and engineers."

At ~300 employees, Together AI still has genuine startup energy. The team is small enough that individual contributions are visible, and the [flat hierarchy](https://jobsbyculture.com/values/flat) means engineers have real ownership over their work. The [many-hats mentality](https://jobsbyculture.com/values/many-hats) is unavoidable at this size — you won’t just be working on one narrow problem. Engineers routinely cross boundaries between kernel optimization, distributed systems, and API design.

The [open-source DNA](https://jobsbyculture.com/values/open-source) is a genuine differentiator. FlashAttention and RedPajama aren’t marketing projects — they’re real contributions that thousands of teams use in production. For engineers who care about building things that the broader community benefits from, this is meaningful. It’s one thing to work on proprietary infrastructure; it’s another to work on infrastructure that becomes part of the open-source ecosystem.

The [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture means technical decisions come from the people doing the work, not from product managers or executives. Combined with [ship-fast](https://jobsbyculture.com/values/ship-fast) velocity, the result is a company that moves quickly on hard technical problems — a cadence that attracts strong engineers but can feel chaotic to people who prefer more structure.

## Engineering Culture & Tech Stack

Together AI’s engineering challenges are among the hardest in the infrastructure space. The company operates at the intersection of distributed systems, GPU programming, and machine learning — a combination that requires deep technical breadth.

### Tech Stack

Python C++ CUDA PyTorch Kubernetes Ray

The stack reflects the full-stack nature of the work. **CUDA** and **C++** for GPU kernel optimization — this is where FlashAttention lives. **Python** and **PyTorch** for model fine-tuning and the research layer. **Kubernetes** and **Ray** for orchestrating inference across thousands of GPUs. This isn’t a typical web application stack; it’s systems programming meets ML infrastructure.

### Core Engineering Challenges

The technical work at Together AI spans several areas:

-   **Inference optimization** — The ATLAS system optimizes how models run across GPU clusters, squeezing maximum throughput from expensive hardware. This involves custom CUDA kernels, memory management, and scheduling algorithms.
-   **GPU cluster management** — Coordinating thousands of GPUs for training and inference, handling failures gracefully, and maximizing utilization. This is distributed systems engineering at a high level.
-   **Model fine-tuning pipelines** — Building tools that let customers fine-tune open-source models on their own data efficiently and cost-effectively.
-   **Serverless inference** — Providing API endpoints that scale automatically, with cold start optimization and intelligent model caching.
-   **Research** — FlashAttention achieving 72% model FLOPs utilization on A100s is a genuine research contribution, not just engineering. The team publishes regularly.

The technical bar is very high. The company serves 200+ models through a unified API, which means the inference engine must be flexible enough to handle different model architectures while remaining optimized for each. For engineers who want to work on genuinely hard problems at the intersection of systems and ML, this is one of the strongest environments available.

For engineers who value this type of [engineering-driven culture](https://jobsbyculture.com/values/eng-driven), Together AI ranks among the most technically challenging workplaces in our [Culture Directory](https://jobsbyculture.com/companies).

## Compensation & Benefits

Compensation is rated 4.0/5.0 on Glassdoor, which puts Together AI in solid territory — competitive but not at the very top of the AI market. For context, [Anthropic](https://jobsbyculture.com/companies/anthropic) scores 4.8 on compensation and pays $300k–$490k TC for engineers. Together AI, as a smaller and earlier-stage company, likely sits below that range but compensates with meaningful equity in a high-growth business.

$3.3B

Series B valuation — ~$1B ARR (Feb 2026), $7.5B round reportedly in talks

A few things worth considering about Together AI’s compensation structure:

-   **Equity is the key differentiator.** At a confirmed $3.3B Series B valuation (Feb 2025), reportedly in talks for $7.5B (March 2026), and with annualized revenue having climbed from $130M (end of 2024) to ~$1B (Feb 2026), Together AI equity carries significant upside potential. If the company continues on this trajectory, early and mid-stage equity grants could be very valuable.
-   **San Francisco-based comp levels.** As an SF-headquartered company, base salaries are calibrated to the Bay Area market. This is competitive for AI infrastructure roles.
-   **Startup-stage benefits.** Benefits are typical of a well-funded SF startup — health insurance, PTO, and standard perks. Don’t expect the Googleplex, but the $533.5M raised to date means the company isn’t cutting corners.
-   **Revenue efficiency.** ~$1B annualized revenue (Feb 2026 per Sacra) with ~300 employees means the company is generating real money, not just burning venture capital. This is a meaningful signal for equity value.

The bottom line on comp: if you’re optimizing purely for cash compensation today, larger companies like [Anthropic](https://jobsbyculture.com/companies/anthropic) or big tech labs will pay more. If you’re willing to take some cash-comp risk in exchange for equity in a high-growth infrastructure company, Together AI’s package becomes more attractive. The growth from $130M to ~$1B annualized revenue in ~15 months makes the equity story more credible than most startups at this stage.

## Work-Life Balance

Work-life balance is rated 3.8/5.0, which lands Together AI in the middle of the pack for AI companies. It’s better than [Anthropic](https://jobsbyculture.com/companies/anthropic) (3.7), [OpenAI](https://jobsbyculture.com/companies/openai) (3.6), and significantly better than [Scale AI](https://jobsbyculture.com/companies/scale) (2.7). But it’s not in the relaxed territory of companies like [Notion](https://jobsbyculture.com/companies/notion) or [HubSpot](https://jobsbyculture.com/companies/hubspot).

The 3.8 score makes intuitive sense given Together AI’s position. The company is racing to capture the open-source AI infrastructure market while competitors like AWS, Google Cloud, and Azure pour resources into their own AI platform offerings. That creates urgency. But unlike frontier model labs that are racing to build AGI, Together AI’s work is infrastructure — which tends to have more predictable timelines and fewer existential-deadline-driven crunch periods.

At ~300 employees managing rapid revenue growth (from $130M at end of 2024 to ~$1B annualized by Feb 2026), every person is doing more than their job title suggests. That many-hats reality means the work can bleed into evenings and weekends, especially during product launches or when managing infrastructure at scale. But the absence of “we need to ship this model before the competitor does” pressure likely keeps the intensity below what you’d experience at a frontier lab.

If work-life balance is your top priority, explore our [WLB rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026) for companies that score 4.0+. If you’re comfortable with moderate intensity at a high-growth company, Together AI is in a reasonable range.

## Career Growth & Concerns

Career opportunities are rated 3.8/5.0 — decent but not a standout. This is where Together AI’s youth as a company becomes most visible. With ~300 employees and rapid growth, career paths, promotion criteria, and management layers are still being defined.

There are a few specific concerns worth flagging, drawn from the limited Glassdoor data and broader signals:

-   **“Closed circle leadership”** is a phrase that appears in Glassdoor reviews. This suggests potential inner-circle dynamics where influence and decision-making access may not be evenly distributed. In a company founded by researchers, it’s not uncommon for the founding technical team to retain outsized influence — but it can create frustration for people outside that circle.
-   **Interview process issues.** Some candidates have reported being ghosted during the hiring process. This is a common problem at fast-growing startups where recruiting infrastructure hasn’t caught up to hiring volume, but it’s worth noting as a signal about organizational maturity.
-   **Limited transparency.** With only 4 Glassdoor reviews, it’s hard to get a clear picture of the internal culture. Most 300-person companies have significantly more reviews, which raises the question of whether the company discourages external feedback or simply hasn’t built enough internal culture to generate it.
-   **People processes still forming.** At this stage, expect that performance reviews, career ladders, and promotion processes are either very new or don’t exist yet in some teams. This is normal for the company’s age but means your career growth depends more on your manager and your own initiative than on institutional frameworks.

The upside of working at a young, fast-growing company is that career trajectories can be nonlinear. People who join early and perform well often end up in leadership roles that wouldn’t be available at larger companies. The downside is that there’s less structure to support your growth if you need it.

## What Employees Love

Pro "Brilliant researchers and engineers — work alongside world-class AI talent building real infrastructure"

Pro "Open-source impact — FlashAttention and RedPajama are used by thousands of teams worldwide"

Pro "~$1B annualized revenue (Feb 2026 per Sacra), up 7x from $130M at end of 2024 — strong business fundamentals, not just hype"

Pro "Full-stack technical challenges — from CUDA kernels to API design, genuinely hard problems"

Pro "$3.3B Series B valuation with $533.5M raised to date (reported $7.5B round in talks) — strong financial position and equity upside"

Pro "Small team (~300) means real ownership and direct impact on the product"

The recurring theme is technical quality. Together AI attracts engineers and researchers who care about building sophisticated infrastructure, not just wrapping APIs. The combination of open-source contribution, revenue growth, and genuinely hard technical problems creates an environment where strong engineers can do their best work while building something with real business value.

## What Employees Warn About

Con "“Closed circle leadership” mentioned in reviews — potential inner-circle dynamics at the top"

Con "Only 4 Glassdoor reviews — limited transparency into the real day-to-day culture"

Con "Interview process issues — candidates report being ghosted during hiring"

Con "San Francisco-centric — limited remote options for those outside the Bay Area"

Con "Competing against giants (AWS, Google Cloud, Azure) for AI infrastructure market share"

Con "Young company — people processes and career ladders are still being formed"

The concern about “closed circle leadership” deserves attention. In a company where the founders are respected researchers, it’s easy for the founding team’s technical preferences and personal relationships to create an implicit hierarchy that exists alongside the formal one. If you’re considering Together AI, it’s worth asking specific questions during the interview process about how decisions are made, who has influence, and how the company handles disagreement.

The competitive landscape concern is real but cuts both ways. AWS, Google Cloud, and Azure have essentially unlimited resources, but they’re also slow-moving and focused on many products at once. Together AI’s advantage is focus and speed — they do one thing (open-source AI infrastructure) and do it well. Whether that focus is enough to win long-term is the existential question for the business.

## How Together AI Compares

Here’s how Together AI stacks up against other AI infrastructure and frontier companies in our [Culture Directory](https://jobsbyculture.com/companies).

Company

Glassdoor

WLB

Employees

Valuation

Open Roles

[Together AI](https://jobsbyculture.com/companies/together)

4.1

3.8

~300

$3.3B

46

[CoreWeave](https://jobsbyculture.com/companies/coreweave)

3.6

3.2

~1,200

$50B+

275

[Modal](https://jobsbyculture.com/companies/modal)

4.0

4.0

~50

—

29

[Anthropic](https://jobsbyculture.com/companies/anthropic)

4.4

3.7

~1,500

$61.5B

443

[Scale AI](https://jobsbyculture.com/companies/scale)

3.5

2.7

~1,000

$14B

166

Together AI compares favorably on Glassdoor rating and work-life balance against [CoreWeave](https://jobsbyculture.com/companies/coreweave) (the GPU cloud giant) and [Scale AI](https://jobsbyculture.com/companies/scale). It’s slightly behind [Anthropic](https://jobsbyculture.com/companies/anthropic) on overall rating but ahead on WLB. [Modal](https://jobsbyculture.com/companies/modal), another developer infrastructure company, scores similarly but is much smaller (~50 employees). For a detailed side-by-side, use the [interactive comparison tool](https://jobsbyculture.com/compare?a=together).

The key differentiator in this comparison is Together AI’s position as an open-source-first infrastructure company. CoreWeave is primarily a GPU cloud provider without the research component. Modal is developer infrastructure but focused on serverless compute rather than AI specifically. Together AI occupies a unique niche: infrastructure built by researchers, optimized for open-source models, with real revenue to back it up.

## Open Roles at Together AI

Together AI currently has **62 open positions** spanning engineering, research, sales, and operations. For a ~300-person company, that’s a significant hiring push — roughly 15% headcount growth from current openings alone.

Key hiring areas include:

-   **Infrastructure Engineers** — GPU cluster management, distributed systems, and Kubernetes orchestration
-   **ML/AI Engineers** — Inference optimization, model fine-tuning pipelines, and CUDA kernel development
-   **Research Scientists** — Working on projects like FlashAttention, training efficiency, and model architecture
-   **Sales & Go-to-Market** — Enterprise sales for the AI Acceleration Cloud platform
-   **Operations** — Scaling the company’s internal systems as headcount and revenue grow

For the full list of live openings with filters, visit the [Together AI jobs page](https://jobsbyculture.com/jobs?company=together) or explore the [Together AI culture profile](https://jobsbyculture.com/companies/together).

## The Bottom Line

Verdict

Choose Together AI if you want to work on open-source AI infrastructure with brilliant researchers, strong revenue growth, and genuinely hard technical challenges. The ~$1B annualized revenue (Feb 2026 per Sacra) up from $130M at end of 2024 puts the company in a strong financial position, and the equity upside is real — particularly if the reported $7.5B March 2026 round closes. But expect a young company still figuring out its leadership dynamics and people processes — and do your due diligence on team culture before joining. With only 4 Glassdoor reviews, the internal culture is less transparent than most companies at this scale.

Together AI is not for everyone. It’s not the highest-paying option, it’s not the most structured, and it doesn’t have the name recognition of an Anthropic or OpenAI. What it offers is a rare combination: the chance to work on hard infrastructure problems with talented researchers, contribute to open-source projects that the entire AI community uses, and do it at a company with real revenue and growth. For the right engineer, that’s a compelling package.

## Frequently Asked Questions About Working at Together AI

What is Together AI's Glassdoor rating?+

Together AI has a 4.1 out of 5.0 Glassdoor rating with a work-life balance score of 3.8/5. The rating is based on a small number of reviews, so the internal culture is less transparent than larger companies. See our full [Together AI culture profile](https://jobsbyculture.com/companies/together).

What does Together AI do?+

Together AI is an open-source AI cloud platform. The company created FlashAttention, one of the most impactful AI infrastructure innovations, and offers cloud infrastructure for training and running open-source AI models at scale.

How many employees does Together AI have?+

Together AI has approximately 300 employees as of 2026, up from roughly 130 at the end of 2024 (Latka and PitchBook report ~290-335; Tracxn shows ~385 as of late May 2026). Sacra estimates the company hit ~$1B in annualized revenue by February 2026, up from $618M at end of 2025. See our [AI company employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

Is Together AI a good place to work?+

Together AI offers a strong open-source culture with a learning-focused environment. The company attracts top AI researchers and offers the chance to work on hard infrastructure problems. The equity upside at a $3.3B valuation is real, though the company is still maturing its people processes and leadership dynamics.

### Explore Together AI opportunities

See all 62 open roles at Together AI or browse jobs from 45 AI & tech companies in our culture directory.

[Explore all 46 Together AI jobs →](https://jobsbyculture.com/jobs?company=together) [Read the full culture profile →](https://jobsbyculture.com/companies/together)

---

## Document: Working at Twilio in 2026: Remote Culture, Salary, Reorgs & What Employees Say

# Working at Twilio in 2026: Remote Culture, Salary, Reorgs & What Employees Say

> Working at Twilio in 2026: 5,500 employees, 3.9 Glassdoor rating, remote-first Open Work policy, strong comp (4.2/5), and what employees really say about the reorgs and culture shift.

Source: https://jobsbyculture.com/blog/working-at-twilio-2026
Markdown: https://jobsbyculture.com/blog/working-at-twilio-2026.md
Last updated: 2026-07-14

---
[Twilio](https://jobsbyculture.com/companies/twilio) is one of those companies that genuinely changed how software gets built. Founded by Jeff Lawson in 2008, it turned phone calls, text messages, and video into simple API calls — and in doing so, created an entirely new category of developer infrastructure. Uber's ride notifications, Airbnb's host messaging, Netflix's account alerts: they all run on Twilio. The company went public in 2016 (NYSE: TWLO) and grew aggressively through the pandemic era, peaking at roughly 8,000 employees.

But the Twilio of 2026 is a different company than the one developers fell in love with. Multiple rounds of layoffs, a CEO transition, activist investor pressure, and a deliberate pivot toward profitability have reshaped the culture. The developer-first DNA is still there — and the [remote-first](https://jobsbyculture.com/values/remote) "Open Work" policy remains genuinely excellent — but the scrappy, builder-centric identity has given way to something more corporate. Whether that's a feature or a bug depends on what you're looking for in an employer.

We pulled data from Twilio's [company profile](https://jobsbyculture.com/companies/twilio), Glassdoor reviews, and public reporting to give you an honest picture. No sugarcoating.

## Twilio at a Glance

Founded

2008

Headquarters

San Francisco, CA (remote-first)

Founder

Jeff Lawson

Company Size

~5,500 employees

Public / Ticker

NYSE: TWLO

Glassdoor Rating

3.9 / 5.0 (2,039 reviews)

Work-Life Balance

4.1 / 5.0

Recommend to Friend

73%

Business Outlook

57% positive

Engineering %

~45% (~2,219 engineers)

Remote Employees

3,189 (distributed)

Culture Values

[Remote](https://jobsbyculture.com/values/remote), [WLB](https://jobsbyculture.com/values/wlb), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Open Source](https://jobsbyculture.com/values/open-source), [Equity](https://jobsbyculture.com/values/equity), [Learning](https://jobsbyculture.com/values/learning)

## From API Pioneer to Mature Public Company

To understand Twilio's culture today, you need to understand the arc. In its early years, Twilio was the quintessential developer-first company. Jeff Lawson — himself a developer — built a culture around the idea that the best products are built by empowered engineers close to the customer. The company's internal motto, "Ask your developer," wasn't just marketing. Engineers had real autonomy. Teams were small. Shipping was fast. The culture attracted builders who wanted to work on infrastructure that millions of developers depended on.

The pandemic era supercharged growth. Communications APIs became essential as businesses digitized overnight. Twilio acquired Segment (customer data platform) for $3.2 billion in 2020, pushing headcount toward 8,000. Revenue soared. But so did costs, complexity, and organizational sprawl.

Then came the correction. In 2022 and 2023, Twilio laid off roughly 2,500 employees across multiple rounds — cutting from ~8,000 to ~5,500. Activist investors pushed for profitability. Jeff Lawson stepped down as CEO in early 2024. The company restructured around its core products: Communications APIs, Segment, Flex (contact center), and Verify (authentication). The mission shifted from "grow at all costs" to "efficient growth and margins."

This transition is the defining feature of working at Twilio in 2026. The company still has strong fundamentals — a market-leading product, genuine remote flexibility, solid comp, and a large engineering org working on interesting problems. But the culture that made Twilio special is under strain, and employees feel it.

## Glassdoor Ratings Breakdown

Twilio's overall Glassdoor rating of 3.9 out of 5.0, based on 2,039 reviews, tells a nuanced story. It's respectable but not exceptional. The sub-scores reveal where Twilio excels and where it's struggling.

Compensation & Benefits 4.2

Work-Life Balance 4.1

Overall Rating 3.9

Culture & Values 3.8

Recommend to Friend 73%

Positive Business Outlook 57%

The pattern is clear. Compensation (4.2) and work-life balance (4.1) are genuine strengths — Twilio pays well and respects your time. But culture & values at 3.8 reflects the identity crisis many employees describe. The 57% positive business outlook is the most telling number: nearly half of employees aren't confident about where the company is headed. That's the cost of two years of layoffs, a CEO change, and a strategic pivot.

## What Employees Actually Say

We analyzed recurring themes across Twilio's Glassdoor reviews. The picture that emerges is a company with real strengths and real problems, often existing side by side.

### What employees love

Employee Pro "The remote work policy is real, not performative — I've worked from three different states and nobody blinked"

Employee Pro "Work-life balance is genuinely respected. No expectation of after-hours work. Managers actively discourage burnout."

Employee Pro "Compensation is competitive — good base, solid equity, strong benefits package including education stipends"

Employee Pro "The technical problems are interesting — operating communications infrastructure at global scale is genuinely hard"

The positive themes are consistent: remote work that actually works, management that respects boundaries, pay that competes, and technical challenges worth solving. These aren't small things. For engineers who value [work-life balance](https://jobsbyculture.com/values/wlb) and [location flexibility](https://jobsbyculture.com/values/remote), Twilio remains one of the better options in tech.

### What employees criticize

Employee Con "Constant reorgs — I've had four different managers in two years. Hard to build momentum when the org chart changes every quarter."

Employee Con "The culture has shifted from 'build cool things for developers' to 'hit quarterly numbers.' The soul of the company feels different."

Employee Con "Middle management is bloated and constantly changing. Too many layers between ICs and actual decision-makers."

Employee Con "Direction from leadership feels unclear. One quarter we're focused on AI, the next on cost-cutting, the next on a new product strategy."

The negatives center on organizational instability. Frequent reorgs are the single most common complaint. When your manager, your team's mission, and your reporting structure change multiple times a year, it's nearly impossible to do deep, meaningful work. The "culture shift" complaint is equally telling: long-tenured employees mourn the loss of the builder ethos that originally attracted them. Newer hires who never knew that culture tend to be more positive — they evaluate Twilio on its current merits, which are still solid.

## Remote-First Culture: The "Open Work" Policy

If there's one area where Twilio genuinely excels, it's remote work. The company's "Open Work" policy isn't a pandemic afterthought — it's a deliberate, well-implemented commitment to distributed work. Approximately 3,189 of Twilio's ~5,500 employees work remotely, and most open roles are listed as remote-eligible.

3,189

Remote Employees

4.1 / 5

Work-Life Balance

141

Open Positions

What makes Twilio's remote culture stand out isn't just the policy — it's the infrastructure around it. The company has invested in async communication norms, remote-friendly meeting practices, and tooling that makes distributed collaboration genuinely workable. Unlike companies that went "remote-friendly" during COVID and have since quietly rolled it back with return-to-office mandates, Twilio has maintained its commitment. That consistency matters when you're making career decisions based on location flexibility.

The 4.1 WLB score reinforces this. Engineers consistently report that Twilio respects personal time, doesn't expect late-night Slack responses, and provides the flexibility to structure your day around your life. For a company of this size, that's rare and valuable. If remote work and genuine work-life balance are your top priorities, Twilio belongs on your shortlist alongside companies like [GitLab](https://jobsbyculture.com/companies/gitlab) and [Webflow](https://jobsbyculture.com/companies/webflow).

## Compensation & Benefits

Twilio's 4.2 Glassdoor rating for Compensation & Benefits is its highest sub-score, and for good reason. As a public company, Twilio offers a comp structure that includes competitive base salary, RSU equity (with actual liquidity, unlike many private companies), annual bonuses, and a strong benefits package.

The public stock component is worth highlighting. While TWLO has been volatile — it peaked above $400 during the 2021 tech frenzy and dropped sharply during the correction — the fact that Twilio equity is publicly traded means you can sell it. For engineers coming from private companies where equity is a line item on a spreadsheet with no clear path to liquidity, that's a meaningful difference.

Benefits include generous parental leave, an education stipend that employees frequently cite as a real perk, comprehensive healthcare, and a home office setup allowance that aligns with the remote-first policy. The [learning and development](https://jobsbyculture.com/values/learning) investment is genuine — Twilio has historically encouraged employees to build side projects, attend conferences, and invest in skill development. Whether that continues at the same level in the new cost-conscious era is an open question.

Compared to frontier AI companies like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai), Twilio's total comp is lower at the senior level. But compared to most mid-large tech companies, it's competitive — and the combination of strong comp, genuine remote work, and good WLB is a package that few companies match.

## Engineering Culture & Scale Challenges

Twilio's engineering organization is large — roughly 2,219 engineers, making up about 45% of the company. This is a company that was built by and for developers, and engineering still sits at the center of the org. The products are API-first, the documentation is developer-grade, and the technical challenges involve operating real-time communications infrastructure at massive global scale.

### Core Products & Tech

Communications APIs Twilio Segment Twilio Flex Twilio Verify SendGrid

The engineering work spans SMS/MMS delivery at scale, real-time voice and video infrastructure, customer data pipelines (Segment), cloud contact center architecture (Flex), and authentication systems (Verify). These are not trivial problems. If you want to work on systems that handle billions of messages and millions of concurrent connections, Twilio delivers on that front.

### Open Source & Developer Community

Twilio's commitment to [open source](https://jobsbyculture.com/values/open-source) is genuine and long-standing. The company maintains extensive SDKs for every major programming language — Python, JavaScript, Java, C#, Ruby, PHP, Go — and runs Twilio Labs as an incubator for experimental developer tools. This isn't a company that slapped an MIT license on a minor utility and called it "open source." The SDKs are production-grade, well-maintained, and critical to how developers interact with Twilio's platform.

### The Scale Challenge

The honest tension in Twilio's engineering culture is between the [developer-first DNA](https://jobsbyculture.com/values/eng-driven) and the realities of operating a large public company under profitability pressure. Engineers report that the pace of innovation has slowed. Feature work increasingly gets filtered through business metrics and quarterly targets rather than developer intuition. The reorgs create churn that disrupts long-term technical projects. And the management layers between ICs and leadership have thickened.

This doesn't mean Twilio is a bad place to be an engineer. It means it's a different kind of engineering culture than it was five years ago. If you want the feeling of building from scratch with a small, empowered team, look at earlier-stage companies like [Linear](https://jobsbyculture.com/companies/linear) or [Vercel](https://jobsbyculture.com/companies/vercel). If you want the stability, comp, and infrastructure challenges of a scaled platform — and you can tolerate organizational turbulence — Twilio still has a lot to offer.

## Who Thrives at Twilio (and Who Doesn't)

Based on the data, reviews, and culture signals, here's an honest assessment of fit.

### You'll likely thrive if you...

-   **Value genuine remote work.** If location flexibility is your top priority, Twilio's Open Work policy is one of the best in the industry. It's real, it's well-supported, and it's not going away.
-   **Want strong WLB at a large company.** The 4.1 WLB score isn't accidental. Twilio's culture genuinely respects personal time. If you've been burned by "unlimited PTO that no one takes" at other companies, Twilio is different.
-   **Care about comp and liquidity.** Competitive salary, public stock with real liquidity, and solid benefits. The [equity](https://jobsbyculture.com/values/equity) component is actually worth something because you can sell it.
-   **Want to work on infrastructure at scale.** If routing billions of messages and handling real-time communications across the globe sounds exciting, the technical work is still compelling.
-   **Can navigate ambiguity.** Companies in transition reward people who can adapt, self-direct, and maintain momentum even when the organizational landscape shifts. If you're comfortable with that, you'll do well.

### You might struggle if you...

-   **Need organizational stability.** If frequent reorgs, changing managers, and shifting priorities make you anxious, Twilio's current environment will be frustrating. The company is still finding its post-Lawson identity.
-   **Want a tight-knit builder culture.** The "small team, big impact" energy that defined early Twilio has given way to a more structured, metrics-driven environment. If you're looking for scrappy startup energy, this isn't it anymore.
-   **Expect clear strategic direction.** The 57% positive business outlook reflects genuine uncertainty among employees about where the company is headed. If you need conviction about your employer's trajectory, that ambiguity will bother you.
-   **Thrive on speed.** Twilio's decision-making and shipping velocity have slowed as the company has added process and prioritized efficiency over experimentation. If you want to [ship fast](https://jobsbyculture.com/values/ship-fast), consider smaller companies.

## Open Positions at Twilio

Twilio currently has **153 open positions** listed on our platform, spanning engineering, product, sales, and operations roles. Most are remote-eligible under the Open Work policy. The hiring pace is more measured than during the hypergrowth era, which means each role is more deliberate and the interview process is thorough.

For full details on Twilio's open roles, culture values, and side-by-side comparisons with other companies, visit the [Twilio culture profile page](https://jobsbyculture.com/companies/twilio) or [browse all Twilio jobs](https://jobsbyculture.com/jobs?company=twilio).

## Frequently Asked Questions About Working at Twilio

How many employees does Twilio have in 2026?+

Twilio has approximately 5,500 employees as of 2026. The company peaked at around 8,000 before multiple rounds of layoffs in 2022–2023 reduced headcount significantly. Approximately 3,189 employees work remotely or distributed under the "Open Work" policy. Engineering makes up roughly 45% of the workforce (~2,219 engineers).

Is Twilio remote-friendly in 2026?+

Yes. Twilio's "Open Work" policy makes it one of the most genuinely [remote-friendly](https://jobsbyculture.com/values/remote) companies in tech. Approximately 3,189 employees work remotely or distributed. Most open roles are listed as remote-eligible, and the company has invested in async communication norms and tooling to make distributed work effective. Unlike many companies that have quietly reversed remote policies, Twilio has maintained its commitment.

What is Twilio's Glassdoor rating in 2026?+

Twilio has a 3.9 out of 5.0 overall Glassdoor rating based on 2,039 reviews. Work-life balance is rated 4.1/5, compensation & benefits 4.2/5, and culture & values 3.8/5. 73% of employees recommend it to a friend, but only 57% have a positive business outlook — reflecting concerns about the company's strategic direction. See our [full Twilio culture profile](https://jobsbyculture.com/companies/twilio) for the complete breakdown.

What is Twilio's compensation like for engineers?+

Twilio's compensation is rated 4.2/5 on Glassdoor — its highest sub-score. Total comp for senior engineers typically includes competitive base salary, RSU equity (NYSE: TWLO) with real liquidity, annual bonuses, and strong benefits including education stipends. The public stock component is a meaningful differentiator versus private company equity. Comp is competitive with mid-large tech but below frontier AI labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai).

Has Twilio had layoffs recently?+

Twilio went through significant layoffs in 2022 and 2023, reducing headcount from roughly 8,000 to about 5,500. These cuts were part of a broader shift toward profitability under pressure from activist investors. Founder Jeff Lawson stepped down as CEO in early 2024. The company has since stabilized and is hiring selectively with 153 open roles, though the organizational churn from these events is still felt in employee reviews.

What is Twilio's engineering culture like?+

Twilio was founded as a developer-first company, and [engineering](https://jobsbyculture.com/values/eng-driven) still makes up roughly 45% of the workforce. The company maintains extensive [open-source](https://jobsbyculture.com/values/open-source) SDKs across every major programming language and runs Twilio Labs for experimental projects. The technical challenges involve real-time communications at global scale. However, some engineers report that the culture has shifted from "build cool things" to "hit quarterly targets" as the company has matured and come under profitability pressure.

What products does Twilio make?+

Twilio's core products include Communications APIs (SMS, Voice, Video, Email via SendGrid), Twilio Segment (customer data platform acquired for $3.2B in 2020), Twilio Flex (cloud contact center), and Twilio Verify (authentication). These products power communications for companies like Uber, Airbnb, and Netflix, handling billions of messages and interactions globally.

### Explore Twilio's 153 open roles

See Twilio's open positions alongside jobs from companies like Stripe, Anthropic, GitLab, and more — all with culture context.

[View Twilio Jobs →](https://jobsbyculture.com/jobs?company=twilio) [Browse All Jobs →](https://jobsbyculture.com/jobs)

---

## Document: Working at Vanta in 2026: Top Pay, Low WLB & What 200 Reviews Say

# Working at Vanta in 2026: Top Pay, Low WLB & What 200 Reviews Say

> Working at Vanta in 2026: 1,766 employees, 3.3 Glassdoor rating (down from 3.5), 3.0 WLB, $254k-$386k engineer comp, and what 212 reviews reveal about the compliance unicorn

Source: https://jobsbyculture.com/blog/working-at-vanta-2026
Markdown: https://jobsbyculture.com/blog/working-at-vanta-2026.md
Last updated: 2026-07-14

---
### At a Glance

Employees~1,766

Glassdoor3.3/5 (212 reviews)

Recommend53%

Eng Comp (IC3–IC5)$254k–$386k+

Founded2018 (YC W18)

Open Roles163

$305kMedian Eng Comp

3.0WLB Score

53%Recommend Rate

69%Positive Outlook

## The Golden Handcuffs Problem

Vanta sits in a fascinating position in our directory. It pays among the best — $305k median engineer comp puts it near frontier AI lab territory — while scoring among the lowest on work-life balance (3.0/5, down from 3.1 a year ago). Only 53% of employees recommend it to a friend, the lowest rate among companies with comparable compensation, and the overall Glassdoor rating has slipped from 3.5 to 3.3 over the past year.

This isn't a broken company. It's a deliberate tradeoff that works for some people and absolutely doesn't for others. Vanta dominates compliance automation with 7,000+ customers, grew headcount 55% in 2025 alone, and has genuine product-market fit. But that hypergrowth exacts a cost, and the reviews are remarkably candid about what it is.

## Glassdoor Breakdown

Compensation & Benefits 4.0

Culture & Values 3.3

Career Opportunities 3.3

Work-Life Balance 3.0

The pattern is clear: Vanta pays extremely well (4.0 comp) but demands a lot in return (3.0 WLB, down from 3.1). Culture has slipped to 3.3 (from 3.5), and career opportunities (3.3, from 3.4) suggest that growth paths remain unclear despite the company's rapid scaling. The directional change matters — nearly every sub-score is trending down year-over-year even as the company grows.

## What Employees Actually Say

### What employees love

Employee Pro "Best company I have worked for in my career. Supportive leadership, strong product-market fit, and genuinely interesting compliance problems to solve at scale."

Employee Pro "The product basically sells itself. Customers love Vanta, the market is massive, and it feels like we're building something that actually matters for how companies operate."

-   **Top-of-market compensation** — consistently cited as the biggest draw; $305k median eng comp is elite
-   **Clear market dominance** — 7,000+ customers, compliance automation is a growing need for every startup
-   **Interesting technical problems** — 300+ integrations, real-time infrastructure monitoring, AI retrieval systems
-   **Strong product-market fit** — the product sells well and customers are genuinely happy

### What could be better

Employee Con "Work-life balance is not respected. Engineers regularly pull 60-70 hour weeks. You'll be contacted during PTO. The pay is good but you earn every penny of it."

Employee Con "Meeting-heavy culture makes it hard to get deep work done. By the time you finish your meetings, it's 4pm and you still have to write code. That's when the long hours start."

-   **Brutal work-life balance** — 3.0/5 is among the lowest in our directory; 60-70 hour weeks reported for engineers
-   **Meeting-heavy culture** — real coding time gets compressed into evenings and weekends
-   **PTO not respected** — multiple reviews describe being contacted during time off
-   **High turnover** — the intensity drives churn, particularly in sales (35% AE quota attainment reported)
-   **Limited career growth clarity** — 3.3 career opportunities score; promotions described as difficult despite rapid company growth

## Engineering Culture & Tech Stack

Vanta's engineering challenge is genuinely interesting: continuously monitoring the security posture of thousands of companies across 300+ integrations, then generating audit-ready compliance evidence in real time. This isn't a simple CRUD app — it's a large-scale data pipeline problem with real consequences when things break.

The team has published engineering blog posts about optimizing MongoDB Atlas storage (30% reduction), building high-scale AI retrieval systems, speeding up critical pages by 7x, and migrating AWS infrastructure to Terraform. The technical work is substantive:

TypeScript React Node.js MongoDB GraphQL AWS Terraform Python AI/ML

-   **Real-time compliance monitoring** — continuous scanning across cloud infrastructure, code repos, and HR systems
-   **Massive integration surface** — 300+ integrations each with their own APIs, data models, and failure modes
-   **AI retrieval systems** — powering automated evidence collection and intelligent recommendations
-   **Scale challenges** — 7,000+ customers means every system decision gets multiplied thousands of times

## The Hypergrowth Context

Much of what reviews describe — long hours, meeting overload, role ambiguity — maps directly to Vanta's growth trajectory. Adding 500+ employees in a single year (2024 to 2025) and then another 300+ into 2026 creates structural stress that no amount of good intentions can fully offset.

The 53% recommendation rate isn't unusual for companies at this growth stage. For comparison, [Scale AI](https://jobsbyculture.com/companies/scale) went through a similar phase, and companies like [Databricks](https://jobsbyculture.com/companies/databricks) had comparable growing pains during their rapid scaling period. The question is whether Vanta stabilizes as growth slows, or whether intensity is baked into the DNA — the trend in Glassdoor sub-scores over the past year has been mostly downward.

## Who Thrives at Vanta

The reviews paint a clear picture of who does well here:

-   Engineers who optimize for compensation and want elite total comp packages ($254k–$386k+)
-   People who genuinely enjoy compliance and security as a problem domain
-   High-intensity workers who thrive in fast-paced, high-expectations environments
-   Those who want strong product-market fit — Vanta's product genuinely sells, which means your work matters

It's _not_ the right fit if you value work-life balance above compensation (look at [PostHog](https://jobsbyculture.com/companies/posthog) or [Tailscale](https://jobsbyculture.com/companies/tailscale) instead), or if you want protected deep-work time without heavy meeting loads. The 3.0 WLB score is honest — this is an intense environment that compensates for intensity with money, not flexibility.

### Explore Vanta Jobs

109 open roles across engineering, product, sales, and more.

[Browse Vanta Jobs →](https://jobsbyculture.com/jobs?company=vanta) [Full Company Profile →](https://jobsbyculture.com/companies/vanta)

## Frequently Asked Questions

How many employees does Vanta have in 2026? +

Vanta has approximately 1,766 employees as of March 2026. The company grew 54.7% in headcount during 2025, adding over 500 people in a single year as demand for automated compliance surged.

What is Vanta's Glassdoor rating? +

Vanta has a 3.3 out of 5.0 Glassdoor rating based on 212 reviews — down from 3.5 a year ago. Work-life balance is rated 3.0/5, culture & values 3.3/5, and career opportunities 3.3/5. Compensation remains the highest-rated category at 4.0/5. 53% of employees recommend working there (down from 55%).

What is Vanta's compensation for engineers? +

Total compensation for [software engineers](https://jobsbyculture.com/jobs-at/vanta/software-engineer) at Vanta ranges from $254k (IC3) to $386k+ (IC5) per year according to verified compensation reports, with a median of $305k. Compensation is rated 4.0/5 on Glassdoor — well above average for the industry.

What is Vanta's work-life balance like? +

Work-life balance is Vanta's weakest area at 3.0/5 on Glassdoor (down from 3.1 a year ago). Multiple reviews describe 60-70 hour weeks for engineers, being contacted during PTO, and a meeting-heavy culture that compresses coding time into evenings.

Is Vanta a good place to work? +

It depends on your priorities. Vanta pays top-of-market and dominates its category, but demands high intensity in return. If you optimize for comp and interesting problems over work-life balance, it can be excellent. If balance matters more, other companies in our directory may be better fits.

What does Vanta do? +

Vanta automates security compliance (SOC 2, HIPAA, ISO 27001, PCI, GDPR) by continuously monitoring your infrastructure and generating audit-ready evidence. Founded in 2018 via Y Combinator, the company has 7,000+ customers and dominates the compliance automation market.

---

## Document: Vast AI in 2026: ~30 Employees, $30M Raised, Salary & Culture Inside the GPU Marketplace

# Vast AI in 2026: ~30 Employees, $30M Raised, Salary & Culture Inside the GPU Marketplace

> Working at Vast AI in 2026: ~30 employees, bootstrapped and profitable, 5.0 Glassdoor rating, $160k-$320k engineer comp, and what building the world

Source: https://jobsbyculture.com/blog/working-at-vast-2026
Markdown: https://jobsbyculture.com/blog/working-at-vast-2026.md
Last updated: 2026-07-14

---
Most AI infrastructure companies follow a familiar playbook: raise hundreds of millions, build or lease data centers, hire aggressively, and compete on scale. Vast AI threw that playbook out. Founded in 2018 by Jake Cannell (CEO) and Christian Horne, Vast AI operates the world's largest decentralized GPU cloud marketplace — connecting over 1,400 GPU providers across 500+ locations with researchers and companies who need cheap compute. (Jake's brother Travis Cannell joined as COO in 2022.) They did it with roughly 30 people and $30M in total funding. The company is profitable.

That last detail matters more than any Glassdoor score. In a sector where [CoreWeave](https://jobsbyculture.com/companies/coreweave) raised $7.5B and [Lambda](https://jobsbyculture.com/companies/lambda) raised $800M+ to compete, Vast AI's bootstrapped profitability is genuinely unusual. It means the equity employees hold is backed by real revenue, not future fundraising hopes. It means the company doesn't answer to growth-stage VCs pushing for headcount expansion or geographic land-grabs. And it means working there feels fundamentally different from the other GPU cloud companies in our [directory](https://jobsbyculture.com/companies).

## Vast AI at a Glance

Founded

2018

Founders

Jake Cannell (CEO) & Christian Horne

Employees

~30

Total Funding

$30M

Business Model

Decentralized GPU marketplace (commission on rentals)

Glassdoor Rating

5.0 / 5.0 (limited reviews)

Work-Life Balance

4.5 / 5.0

CEO Approval

100%

Eng Salary Range

$160K – $320K

Offices

Los Angeles & San Francisco

GPUs Managed

20,000+

Monthly Customers

25,000+

A caveat on the Glassdoor data: a perfect 5.0 from a 30-person company means a tiny sample size. Take it as directional — employees who have reviewed are happy — but don't weight it the same as a 4.2 from a company with 2,000 reviews. The CEO approval and WLB scores are similarly limited but consistently positive.

## What Vast AI Actually Does

The simplest analogy is Airbnb for GPUs. Data centers, mining operations, research labs, and individual GPU owners list their spare compute on Vast's marketplace. Researchers and AI companies rent that compute at prices significantly below AWS, GCP, or Azure — often 3–5x cheaper for equivalent hardware. Vast takes a commission on each transaction.

The platform supports everything from RTX 4090s for hobbyist fine-tuning to clusters of A100s and H100s for production training runs. Users search by GPU model, VRAM, PCIe bandwidth, geographic location, and host reliability scores. It's a remarkably transparent marketplace — you can see exactly what hardware you're renting, from whom, and with what track record.

20K+

GPUs on Platform

25K+

Monthly Customers

500+

Provider Locations

The trade-off is reliability. Because hardware is owned by third parties, uptime and performance can vary. A long training run might get interrupted if a host goes offline. This makes Vast ideal for cost-sensitive, interruptible workloads — research experiments, fine-tuning, inference at scale — but less suited for production-critical training where a 4-hour interruption costs $50,000 in lost progress. For those workloads, companies like [Lambda](https://jobsbyculture.com/companies/lambda) or [CoreWeave](https://jobsbyculture.com/companies/coreweave) with their own data centers offer higher reliability at higher prices.

## The Culture: Flat, Fast, and Intensely Technical

Working at a 30-person company managing 20,000+ GPUs creates a culture that's impossible to replicate at scale. Every engineer has direct access to Jake Cannell, the CEO and technical co-founder. There are no middle managers, no skip-levels, no quarterly OKR ceremonies. The organizational chart is essentially a spoke-and-wheel with Jake at the center.

This is not "flat" in the way a 500-person company with three management layers calls itself flat. This is genuinely [flat](https://jobsbyculture.com/values/flat) — the kind of flat where the person reviewing your PR also decides company strategy, and where your feature ships to 25,000 customers without passing through a product committee.

Overall Rating 5.0

Work-Life Balance 4.5

CEO Approval 100%

### What employees love

Employee Pro "Front-row seat to the AI compute revolution — demand for GPU cloud is surging and we're at the center of it"

Employee Pro "Strong compensation and generous equity stakes for a bootstrapped startup — equity feels real because the company is profitable"

Employee Pro "Direct access to CEO — flat, transparent culture where your work matters immediately"

The recurring theme is ownership. At 30 people, there's nowhere to hide — but there's also no ambiguity about your impact. Engineers describe shipping features that directly affect revenue the same week. The tight feedback loop between building something and seeing it used by thousands of customers is something you'd normally only get at a pre-seed startup, but Vast has the revenue and customer base of a much larger company.

### What could be better

Employee Con "Processes are still being defined — expect ad hoc workflows and some startup-stage ambiguity"

Employee Con "Intense workload — the team explicitly values high output with broad responsibilities"

Employee Con "Limited brand recognition vs. hyperscaler competitors — explaining what Vast does at dinner parties takes work"

The cons are predictable for a company this size: process gaps, broad job scopes, and the cognitive overhead of context-switching between multiple domains. The [many hats](https://jobsbyculture.com/values/many-hats) reality means a backend engineer might also be debugging provider-side networking issues or writing customer-facing documentation. If you want clearly scoped sprints and a well-defined career ladder, this isn't it. If you want to learn the entire stack of a real business in two years, it might be exactly right.

## Compensation & Equity

Systems and GPU Research Engineer roles at Vast AI pay between $160,000 and $320,000 in total compensation. For a 30-person startup, that range is competitive — the upper end rivals what [Modal](https://jobsbyculture.com/companies/modal) and mid-stage AI infrastructure companies pay. The [equity](https://jobsbyculture.com/values/equity) component is where Vast gets interesting.

Because the company is bootstrapped and profitable, employee equity isn't contingent on closing a Series C or hitting a revenue milestone that unlocks the next tranche. The business generates real cash flow from marketplace commissions. That makes equity grants feel qualitatively different from the lottery-ticket equity at pre-revenue startups. It's not "we might be worth something someday" — it's "we're already making money and the AI compute market is growing 40%+ annually."

The $30M in total funding also means minimal dilution compared to companies that have raised $500M+. Early employees at Vast hold meaningful ownership stakes that haven't been diluted through five rounds of fundraising. For engineers who understand cap tables, this matters enormously. For a deeper look at how startup equity actually works, see our [equity guide](https://jobsbyculture.com/blog/startup-equity-decoded-2026).

## Engineering & Tech Stack

Vast AI's engineering challenges are genuinely unusual. The team builds and maintains a real-time marketplace that matches GPU supply with demand across a heterogeneous network of hardware they don't own or operate. Think of the complexity: different GPU models, different host configurations, different network topologies, different pricing structures, different reliability profiles — all needing to be searchable, rentable, and monitorable in real time.

### Tech Stack

Python CUDA Docker Kubernetes PyTorch PostgreSQL

The company maintains open-source tools including `vast-cli` (a Python CLI and SDK for managing GPU resources) and `vast-sdk` (a Python SDK for programmatic access). They also build base images and serverless workers for their inference platform. The GitHub presence is lean but functional — reflecting the [engineering-driven](https://jobsbyculture.com/values/eng-driven) culture of shipping what works rather than polishing what impresses.

### Key engineering domains

-   **Marketplace matching & pricing.** Real-time supply/demand optimization across 20,000+ GPUs with variable pricing, reliability scores, and hardware configurations. This is a genuine systems design challenge — think exchange-like matching engines but for heterogeneous compute resources.
-   **Provider infrastructure.** Building the software that runs on provider machines to manage GPU allocation, monitor health, and report metrics back to the marketplace. This requires deep systems-level expertise — CUDA, drivers, networking, containerization.
-   **Customer-facing platform.** The search interface, billing system, API, CLI, and SDK that 25,000+ monthly customers interact with. Despite the small team, the developer experience is remarkably polished — a 4.4 Trustpilot rating from ~200 reviews confirms this.
-   **Neural network optimization.** Vast is also developing software to accelerate training and deployment of complex neural networks on their decentralized infrastructure — essentially building the tooling layer that makes heterogeneous GPU clusters feel like a unified compute fabric.

## The Competitive Landscape

Understanding Vast AI's position requires understanding who it's not. The GPU cloud market has stratified into distinct tiers, and Vast occupies a unique niche.

### [CoreWeave](https://jobsbyculture.com/companies/coreweave)

$7.5B+ Raised Own Data Centers

CoreWeave operates its own GPU data centers with enterprise-grade SLAs. It's the premium option for companies running production training workloads where reliability is non-negotiable. Vast AI is the opposite bet — maximum cost efficiency with variable reliability.

### [Lambda](https://jobsbyculture.com/companies/lambda)

$800M+ Raised 99.5%+ Uptime

Lambda runs its own data centers with ML engineers on the support team who understand GPU workloads. Higher prices, but the reliability and support justify it for teams that can't afford interruptions.

### [Modal](https://jobsbyculture.com/companies/modal)

Developer Experience Serverless

Modal takes a completely different approach — abstracting away GPU management entirely with a serverless interface. You write Python code and Modal handles provisioning. It's the highest-abstraction option, while Vast is the lowest — you pick your specific machine and manage it yourself.

Vast AI's competitive moat is network effects. More providers listing GPUs means lower prices, which attracts more customers, which attracts more providers. At 20,000+ GPUs and 25,000+ monthly customers, Vast has a liquidity advantage that new marketplace entrants can't easily replicate. The 8 years of operations data also feed into reliability scoring that helps customers avoid unreliable hosts — a data asset that compounds over time.

## Who Thrives at Vast AI

Based on employee reviews, the company's structure, and the nature of the work, here's who tends to do well at Vast AI:

-   **Systems engineers who want breadth.** If you want to touch CUDA kernels, marketplace infrastructure, customer-facing APIs, and provider-side networking in the same quarter, Vast is one of the few places where that's not just possible but expected. The [many-hats](https://jobsbyculture.com/values/many-hats) culture is genuine.
-   **People who prefer small teams over large organizations.** Thirty people means everyone knows everyone, decisions happen fast, and bureaucracy is near-zero. If you've ever felt suffocated by process at a large company, the relief of working at Vast's scale is immediate.
-   **Engineers motivated by the AI compute thesis.** If you believe — as many do — that GPU compute will be the most valuable commodity of the next decade, building the marketplace where it's traded is a compelling position.
-   **People comfortable with ambiguity.** Processes are still evolving. Roles are loosely defined. Priorities shift based on what the marketplace needs. If you need a clear career ladder and quarterly performance reviews, look at [Databricks](https://jobsbyculture.com/companies/databricks) or [Stripe](https://jobsbyculture.com/companies/stripe) instead.
-   **Equity-motivated engineers.** The bootstrapped, profitable model combined with minimal dilution means early employees hold significant ownership. If you understand that equity in a profitable, growing company is worth more than options in a cash-burning one, the math is compelling.

Vast AI is _not_ a fit for engineers who want to specialize deeply in one domain, who need mentorship from senior leadership layers, or who prioritize brand-name recognition on their resume. The company has low public visibility compared to competitors like CoreWeave or Lambda — you won't get the "oh, cool" reaction at a conference. What you'll get is ownership, speed, and a front-row seat to one of the most important infrastructure markets in tech.

## The Bottom Line

Vast AI is one of the most unusual companies in our [directory](https://jobsbyculture.com/companies). A 30-person, bootstrapped, profitable team managing more GPUs than most well-funded competitors have employees. The culture is genuinely [flat](https://jobsbyculture.com/values/flat) — not corporate-flat, but startup-flat, where every person matters and every engineer [ships to production](https://jobsbyculture.com/values/ship-fast). The compensation is competitive, the equity is meaningful, and the market they're building in is growing explosively.

The risks are real: startup-stage process gaps, broad responsibilities that border on overwhelming, and a marketplace model whose reliability depends on third parties the company doesn't control. But for the right engineer — someone who values ownership over process, breadth over depth, and real equity over prestigious logos — Vast AI is a compelling bet on the future of AI infrastructure.

## Frequently Asked Questions About Working at Vast AI

How many employees does Vast AI have in 2026?+

Vast AI has approximately 30 employees as of 2026. Despite the small team, they manage 20,000+ GPUs across their decentralized marketplace serving 25,000+ monthly customers. The company has raised $30M in total funding and opened a new 3,400 sq ft San Francisco office in June 2025, supplementing their LA headquarters.

What is Vast AI's Glassdoor rating?+

Vast AI has a perfect 5.0 out of 5.0 Glassdoor rating, though based on a small sample of reviews given the company's ~30-person size. Work-life balance is rated 4.5/5, and 100% of reviewers approve of the CEO. While the small sample size warrants caution, the consistently positive signals suggest genuine employee satisfaction. See our [full Vast AI culture profile](https://jobsbyculture.com/companies/vast) for more details.

What is the salary range for engineers at Vast AI?+

Systems and GPU Research Engineer roles at Vast AI pay between $160,000 and $320,000 in total compensation, including equity. The company's bootstrapped profitability makes equity particularly meaningful — it's backed by real revenue rather than speculative future fundraising. For context on how this compares across AI infrastructure companies, see our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

Is Vast AI profitable?+

Yes, Vast AI is bootstrapped and profitable, generating revenue through commissions on GPU rentals. This is notable in the AI infrastructure space where most competitors are burning through venture capital. Profitability means employee equity has real value, and the company isn't dependent on future fundraising to sustain operations.

What does Vast AI do?+

Vast AI operates the world's largest decentralized GPU cloud marketplace. The platform connects 1,400+ GPU providers across 500+ locations with AI researchers, startups, and companies who need compute. Users can rent GPUs from RTX 4090s to H100s at prices significantly below AWS, GCP, or Azure. The company also develops software for optimizing neural network training on heterogeneous hardware.

How does Vast AI compare to RunPod and Lambda Labs?+

Vast AI offers the lowest prices through its peer-to-peer marketplace model but trades off reliability and consistency. [Lambda Labs](https://jobsbyculture.com/companies/lambda) operates its own data centers with enterprise-grade uptime (99.5%+) at higher prices, with ML-focused support. RunPod splits the difference with both a secure cloud and community marketplace. Vast is ideal for cost-sensitive, interruptible workloads; Lambda and [CoreWeave](https://jobsbyculture.com/companies/coreweave) for production-critical training.

### Explore Vast AI's culture & open roles

See Vast AI's culture values, employee reviews, and current job openings alongside 118 other AI & tech companies.

[View Vast AI Profile →](https://jobsbyculture.com/companies/vast) [Browse Vast AI Jobs →](https://jobsbyculture.com/jobs?company=vast)

---

## Document: Vercel in 2026: ~900 Employees, $9.3B Series F, Ship-Fast Culture, Salary & What It's Really Like

# Vercel in 2026: ~900 Employees, $9.3B Series F, Ship-Fast Culture, Salary & What It's Really Like

> Working at Vercel in 2026: ~900 employees, $9.3B Series F valuation, 4.1 Glassdoor rating, $180k-$320k engineer comp, remote-first async culture, and what building the frontend cloud is really like inside the company.

Source: https://jobsbyculture.com/blog/working-at-vercel-2026
Markdown: https://jobsbyculture.com/blog/working-at-vercel-2026.md
Last updated: 2026-07-14

---
[Vercel](https://jobsbyculture.com/companies/vercel) has become synonymous with the modern web. Founded by Guillermo Rauch in 2015 (originally as ZEIT), the company has grown from an open-source side project into the frontend cloud platform that powers deployments for everyone from indie hackers to Fortune 500 companies. If you’ve used Next.js, Turbopack, or SWC — or deployed a site that loads in under a second — there’s a good chance Vercel’s infrastructure was involved.

But what is it actually like to work there? With approximately 900 employees, a $9.3B September 2025 Series F valuation, a remote-first model, and a culture that treats shipping speed as a core value, Vercel occupies a unique position in the developer tools landscape. We pulled data from Vercel’s [company profile](https://jobsbyculture.com/companies/vercel), Glassdoor reviews, and public engineering content to build an honest picture of what it’s like to work at Vercel in 2026. Whether you’re weighing an offer, preparing for an interview, or just trying to understand the culture, here’s what you need to know.

## Vercel at a Glance

Founded

2015

Headquarters

San Francisco, CA (Remote-First)

CEO

Guillermo Rauch

Company Size

~900 employees

Valuation

$9.3B (Series F, Sep 2025)

Glassdoor Rating

4.1 / 5.0 (112 reviews)

Work-Life Balance

3.6 / 5.0

Recommend to Friend

75%

Salary Range

$180k – $320k

Work Model

🇺🇸 SF · 🌍 Remote-First

Culture Values

[Ship Fast](https://jobsbyculture.com/values/ship-fast), [Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Product Impact](https://jobsbyculture.com/values/product-impact), [Open Source](https://jobsbyculture.com/values/open-source)

Vercel is a mid-size, [remote-first](https://jobsbyculture.com/values/remote) company that punches far above its weight class in terms of industry influence. Among the [companies in our Culture Directory](https://jobsbyculture.com/companies), Vercel stands out for its unique combination: a developer tools company that builds massively popular [open-source](https://jobsbyculture.com/values/open-source) projects, ships at startup velocity, and genuinely eats its own dogfood. The company’s website, documentation, and internal tools all run on Vercel’s own platform — which means bugs get caught and features get tested before they ever reach customers.

Ship on Friday, deploy on Monday. That’s not just a slogan — it’s the operating rhythm. But that pace comes with trade-offs that are worth understanding before you apply.

## What Makes Vercel’s Culture Different

Every company says they [ship fast](https://jobsbyculture.com/values/ship-fast). Vercel actually does. The cadence is visible to the outside world: Next.js releases land frequently, new platform features ship weekly, and the company’s public changelog reads like a startup half its age. For engineers who have spent time at larger companies watching features languish in review cycles and approval chains, Vercel’s velocity is genuinely refreshing.

This speed is cultural, not accidental. It starts with Guillermo Rauch, who is deeply product-focused and technically fluent. Unlike many CEOs at this stage, Rauch is still involved in product decisions, reviews PRs, and tweets about shipping updates at 2 AM. That energy permeates the company. Engineers at Vercel don’t just write code — they’re expected to have strong product opinions, understand user needs, and ship features that move metrics. The line between engineering and product is intentionally blurred.

The second defining characteristic is Vercel’s [open-source DNA](https://jobsbyculture.com/values/open-source). Next.js is used by millions of developers. Turbopack is rewriting the bundler landscape. SWC replaced Babel for most of the React ecosystem. These aren’t side projects — they’re core to Vercel’s business strategy and identity. Working at Vercel means your code is often visible to the entire JavaScript community. For engineers motivated by [impact](https://jobsbyculture.com/values/product-impact) and visibility, this is a significant draw. Your pull request might get discussed on Twitter by thousands of developers before lunch.

The third cultural pillar is [remote-first async work](https://jobsbyculture.com/values/remote). Vercel operates across time zones with a strong emphasis on written communication, asynchronous collaboration, and documentation. Meetings exist but they’re not the default mode of work. Engineers are expected to be self-directed, communicate through GitHub issues and PRs, and make decisions without waiting for synchronous approval. If you thrive with autonomy and structure your own day well, Vercel’s remote model is genuinely liberating. If you need regular face-to-face interaction and real-time collaboration to do your best work, the async model can feel isolating.

Employee Pro "Building the future of web infrastructure — Next.js, Turbopack, edge runtime"

Employee Pro "Remote-first with async culture"

## Glassdoor Ratings Breakdown

Vercel’s overall Glassdoor rating of 4.1 out of 5.0 (based on 112 reviews) places it in the upper-middle tier among the [companies in our directory](https://jobsbyculture.com/companies). It’s on par with [Notion](https://jobsbyculture.com/companies/notion) and a notch above [Stripe](https://jobsbyculture.com/companies/stripe) (4.0), but the sub-scores show real tension: high marks for compensation (4.3) and career opportunities (4.1) sit alongside lower work-life balance (3.6) and culture & values (3.8). It’s a company where employees genuinely love the mission and the technical work, but where the intensity and pace create friction that shows up in the balance and management scores.

Here’s how each sub-category breaks down based on employee review data:

Compensation & Benefits 4.3

Overall Rating 4.1

Career Opportunities 4.1

Culture & Values 3.8

Work-Life Balance 3.6

The pattern tells a clear story. Compensation & Benefits leads at 4.3 (above [Anthropic](https://jobsbyculture.com/companies/anthropic) and on par with most frontier labs), and Career Opportunities at 4.1 reflects real upward mobility as the company scales. Culture & Values at 3.8 is a step below the overall rating, and Work-Life Balance at 3.6 reflects where the intensity manifests — below the median of the [work-life balance rankings](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026).

75% of employees recommend working at Vercel to a friend. That’s a solid number, and it reflects the polarized experience: people who love the pace and the mission think it’s one of the best jobs in tech. People who burn out from the intensity leave feeling it was unsustainable. There’s relatively little middle ground.

## What Employees Actually Say

We analyzed recurring themes across Vercel’s Glassdoor reviews. The signal is remarkably consistent: the same things that make people love Vercel are the things that make others leave.

### What employees love

Employee Pro "Building the future of web infrastructure — Next.js, Turbopack, edge runtime"

Employee Pro "Strong open-source culture — Next.js, Turbopack, and SWC used by millions"

Employee Pro "Ship-fast mentality is real — weekly releases"

Employee Pro "Remote-first with async culture"

The recurring positive theme is impact. Engineers at Vercel are building tools that shape how the entire web development community works. Next.js alone is used by hundreds of thousands of production applications. When you ship a feature at Vercel, you can see the adoption in real-time — GitHub stars, npm downloads, developer tweets. For engineers who are motivated by seeing their work used at scale, this feedback loop is addictive in the best sense.

The open-source component amplifies this. Unlike working on proprietary internal tools at a large company, Vercel engineers see their work discussed, critiqued, and celebrated by the broader JavaScript community. Multiple reviewers cite this as the single most satisfying aspect of the job — the feeling that you’re contributing to something bigger than any one company.

### What could be better

Employee Con "High expectations and fast pace can lead to burnout"

Employee Con "Leadership sets very high standards — the pace isn't for everyone"

Employee Con "Some teams have unclear ownership"

Employee Con "Comp competitive but not top-tier"

The cons are the inverse of the pros. The same speed that makes Vercel exciting can grind people down. The “ship fast” ethos means there’s always another feature to build, another performance benchmark to hit, another release to push. Several reviewers note that the pace is exhilarating for the first 6–12 months and then becomes exhausting if boundaries aren’t actively managed. The 3.6 WLB score bears this out.

The ownership clarity issue is common at companies growing quickly with a remote-first model. When teams are distributed across time zones and new projects spin up frequently, the lines between team responsibilities can blur. Multiple reviewers mention cases where it wasn’t clear who owned a particular surface area, leading to duplicated effort or dropped balls. This is a growing-pains problem rather than a fundamental cultural flaw, but it’s worth knowing about.

The compensation note is also honest: Vercel pays well for a mid-size developer tools company ($180k–$320k for engineers), but it doesn’t match the total comp packages at companies like [Anthropic](https://jobsbyculture.com/companies/anthropic), [OpenAI](https://jobsbyculture.com/companies/openai), or even [Stripe](https://jobsbyculture.com/companies/stripe). If maximizing total compensation is your primary goal, Vercel may not be your best option. If you’re optimizing for [impact](https://jobsbyculture.com/values/product-impact), open-source visibility, and working on tools you personally use every day, the comp is more than fair.

## Compensation & Benefits

Vercel’s compensation is solid but not at the very top of the market. The $180k–$320k range for engineers includes base salary, equity, and benefits. For a ~900-person company that hasn’t yet IPO’d, freshly priced at $9.3B in its September 2025 Series F, the equity component carries meaningful upside potential — Vercel sits in a growing market (frontend infrastructure, edge computing, AI-powered development).

4.1

Overall Glassdoor Rating

75%

Recommend to Friend

~900

Employees

The 4.3 Glassdoor rating for Compensation & Benefits is one of the standouts in the Vercel profile — on par with frontier AI labs and a notch below only [Stripe](https://jobsbyculture.com/companies/stripe) (4.5). Frontier labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) still pay higher absolute total comp ($300k–$490k), but Vercel’s value proposition combines competitive cash with equity upside in a recently re-priced $9.3B company and the intrinsic rewards of working on widely-used open-source tools.

Benefits include standard startup perks — health insurance, flexible PTO, home office stipends for the remote-first setup, and learning budgets. The remote-first model itself is a benefit for many: no commute, geographic flexibility, and the ability to structure your work around your life rather than the other way around. For engineers in lower cost-of-living areas, Vercel’s compensation stretches further than equivalent roles at SF-only companies.

For a side-by-side comparison, use our [comparison tool](https://jobsbyculture.com/compare) to see how Vercel stacks up against any company in our database on culture, comp, and work-life balance.

## Engineering Culture & Tech Stack

Vercel’s [engineering culture](https://jobsbyculture.com/values/eng-driven) is inseparable from its products. This is a company where engineers use the tools they build, every single day. The Vercel platform, Next.js, Turbopack, the edge runtime — all of these are used internally to build vercel.com, the dashboard, the documentation, and the deployment pipeline. Dogfooding isn’t a buzzword here; it’s the operational reality. When something breaks or underperforms, engineers feel it immediately because they’re also the users.

### Tech Stack

TypeScript Next.js React Node.js Rust Go Edge Runtime Turbopack

The stack reflects Vercel’s position at the intersection of web frameworks and cloud infrastructure. TypeScript and Next.js dominate the application layer. Rust powers the performance-critical toolchain (Turbopack, SWC). Go is used in backend services and infrastructure. The edge runtime — Vercel’s serverless compute layer — represents some of the most interesting distributed systems work happening in the frontend ecosystem.

### How engineering works at Vercel

-   **Ship-fast, iterate publicly.** Vercel releases frequently — often weekly. Features ship to production quickly, and the feedback loop from the developer community is tight. RFCs and design discussions happen in GitHub, often in public. If you want to ship and see the impact immediately, this cadence is energizing.
-   **Open-source by default.** A large portion of Vercel’s engineering output is open-source. Next.js, Turbopack, SWC, and the Vercel CLI are all public repositories. Engineers contribute to these projects as part of their day job, and community contributions are actively encouraged and reviewed. This creates a unique dynamic where your work is simultaneously your employer’s product and a public good.
-   **Async-first collaboration.** With a distributed team across time zones, Vercel leans heavily on GitHub, written docs, and async communication. Pull requests are the primary unit of collaboration. Code reviews are thorough but expected to happen asynchronously. Meetings are kept to a minimum and usually recorded for those in different time zones.
-   **High autonomy, high accountability.** Engineers at Vercel are given significant freedom in how they approach problems. There’s less process and fewer approval gates than you’d find at a company like [Stripe](https://jobsbyculture.com/companies/stripe) or [Databricks](https://jobsbyculture.com/companies/databricks). The flip side is that expectations are high — you’re trusted to deliver, and the bar for quality is set by leadership’s own output.
-   **Performance obsession.** Speed isn’t just a product feature at Vercel — it’s an engineering value. Build times, page load speeds, cold start durations, edge response times — these metrics are treated with the same seriousness that financial companies treat latency. Engineers are expected to benchmark, profile, and optimize as part of the standard development process.

For engineers who care about web performance, open-source impact, and working with cutting-edge JavaScript/TypeScript tooling, Vercel’s engineering culture is hard to beat. The tools you build are the tools you use are the tools millions of developers depend on. That tight feedback loop creates a level of craft and care that’s rare.

## Who Thrives at Vercel

Vercel is a company with a strong identity, and it attracts a specific type of person. Based on culture signals, employee reviews, and the company’s operating model, here’s who tends to do well:

-   **Builders who love the web.** If you have strong opinions about framework design, care about Core Web Vitals, and get excited about shaving 50ms off a page load, Vercel is your kind of company. The people who thrive here are the ones who would be building web tools even if no one paid them. Vercel just happens to pay them to do it.
-   **Open-source contributors.** If you’ve contributed to public projects and enjoy the transparency and accountability that comes with open-source development, Vercel’s [open-source culture](https://jobsbyculture.com/values/open-source) will feel natural. Your GitHub profile is your portfolio, and your work is visible to the community.
-   **Self-starters who thrive with autonomy.** The [remote-first](https://jobsbyculture.com/values/remote), async model means there’s no one looking over your shoulder. Engineers set their own schedules, manage their own time, and are trusted to prioritize effectively. If you need external structure and regular check-ins to stay productive, the autonomy can backfire.
-   **People who want to [ship fast](https://jobsbyculture.com/values/ship-fast).** If you’re the type of engineer who gets frustrated waiting for approvals, review cycles, and committee decisions, Vercel’s bias toward action will feel liberating. Features go from idea to production in days, not quarters. If you want the opposite of big-company process, this is it.
-   **Engineers comfortable with ambiguity.** At ~900 employees, not everything is perfectly defined. Team boundaries shift. Priorities can change quickly based on market dynamics or Guillermo’s latest product insight. If you need a perfectly mapped career ladder and crystal-clear role boundaries, you may find it frustrating. If you thrive in dynamic environments where initiative is rewarded, you’ll excel.

Vercel is _not_ the best fit for engineers who prioritize [work-life balance](https://jobsbyculture.com/values/wlb) above all else. The 3.6 WLB score is real, and the fast pace requires sustained intensity. If balance is your top priority, companies like [Notion](https://jobsbyculture.com/companies/notion) (4.2 WLB), [Linear](https://jobsbyculture.com/companies/linear) (4.4 WLB), or [HubSpot](https://jobsbyculture.com/companies/hubspot) (4.1 WLB) may be better fits. The value proposition at Vercel is impact, open-source visibility, $9.3B-valuation equity upside, and working on tools that define modern web development.

## Vercel vs. Similar Companies

How does Vercel compare to other developer-focused companies? Here’s a quick positioning:

-   **Vercel vs. [Stripe](https://jobsbyculture.com/companies/stripe):** Stripe is larger (~8,000 vs. ~900), pays more, and has a writing-first culture vs. Vercel’s shipping-first culture. Stripe is more process-heavy and rigorous; Vercel is faster and more scrappy. Both are [engineering-driven](https://jobsbyculture.com/values/eng-driven), but the feel is very different.
-   **Vercel vs. [Linear](https://jobsbyculture.com/companies/linear):** Both are product-obsessed developer tools companies with remote DNA. Linear is smaller and scores higher on WLB (4.4 vs. 3.4). Both are engineering-first. Choose Linear for balance, Vercel for scale and open-source impact.
-   **Vercel vs. [Cloudflare](https://jobsbyculture.com/companies/cloudflare):** Cloudflare is larger (~4,000 employees), pays competitively, and focuses on infrastructure. Vercel is more product-focused and developer-experience-driven. Both have strong engineering cultures, but Cloudflare offers more traditional career ladders while Vercel offers more startup-like autonomy.

### Interested in Working at Vercel?

Browse all open Vercel positions and find your culture fit.

[Browse Vercel Jobs →](https://jobsbyculture.com/jobs?company=vercel)

For a full breakdown of Vercel's culture, compensation, and values, see our [Vercel company profile](https://jobsbyculture.com/companies/vercel).

## Frequently Asked Questions About Working at Vercel

How many employees does Vercel have in 2026?+

Vercel has approximately 900 employees as of mid-2026 (PitchBook reports ~875, Tracxn shows 915 as of May 2026), up from ~600 a year earlier. The company has grown sharply since its September 2025 Series F ($300M at a $9.3B valuation). For comparison across AI & tech companies, see our [employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What is Vercel's Glassdoor rating?+

Vercel has a 4.1 out of 5.0 Glassdoor rating based on 112 reviews. Compensation & benefits leads at 4.3, career opportunities at 4.1, culture & values 3.8, and work-life balance 3.6 reflecting the fast-paced culture. 75% of employees recommend working there. See our [full Vercel culture profile](https://jobsbyculture.com/companies/vercel) for the complete breakdown.

Is Vercel remote-friendly?+

Yes, Vercel is a [remote-first](https://jobsbyculture.com/values/remote) company. Most roles are available remotely, and the company has a strong async culture. The team is distributed globally with no mandatory office attendance. Browse [open Vercel positions](https://jobsbyculture.com/jobs?company=vercel) to see remote roles.

What is Vercel's compensation like?+

Vercel offers competitive compensation including base salary, equity, and benefits. Senior engineers can expect total compensation in the $250k–$400k range depending on level and location. Compensation is competitive with the broader developer tools market but below frontier AI labs. See our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) for context.

---

## Document: Working at Wayve in 2026: $8.6B AV2.0 Bet, London Robotaxis & Culture

# Working at Wayve in 2026: $8.6B AV2.0 Bet, London Robotaxis & Culture

> Inside Wayve in 2026: 850 employees, $1.2B Series D, 4.4 Glassdoor rating, the AV2.0 thesis, London robotaxi launch with Uber, and what engineers actually say about the most-funded AV startup in Europe.

Source: https://jobsbyculture.com/blog/working-at-wayve-2026
Markdown: https://jobsbyculture.com/blog/working-at-wayve-2026.md
Last updated: 2026-07-14

---
For most of the 2010s, the autonomous vehicle industry shared a consensus: solving self-driving meant LiDAR, hand-coded behavior planners, and centimeter-accurate HD maps of every street the cars would touch. [Wayve](https://jobsbyculture.com/companies/wayve) never agreed. Founded in 2017 by two Cambridge PhD students — Alex Kendall and Amar Shah — the company set out to prove that end-to-end deep learning, the same paradigm that broke open vision and language, could drive a car. Shah stepped away from day-to-day leadership in 2020, and Kendall has run the company as CEO ever since. For years the AV2.0 thesis was a heretical, mostly academic position. In February 2026, when SoftBank, Nvidia, Microsoft, Uber, and three automakers handed Wayve a $1.2 billion Series D at an $8.6 billion valuation, the heretics started looking like the consensus.

The result is one of the most interesting employers in AI right now: a company with the research culture of a top university group, the deployment urgency of a robotaxi operator, and the cap table of a frontier lab. This piece is for anyone evaluating whether to join — pulled from Wayve's [JBC culture profile](https://jobsbyculture.com/companies/wayve), employee reviews, technical publications, and the company's own communications. If you want to see open roles immediately, jump to [Wayve jobs](https://jobsbyculture.com/jobs?company=wayve); if you want context first, read on.

## Wayve at a Glance

Founded

2017

Headquarters

London, United Kingdom

Founders

Alex Kendall (CEO), Amar Shah (departed 2020)

Company Size

~850 employees

Valuation

~$8.6B (Series D, Feb 2026)

Total Funding

$2.5B+ raised

Glassdoor Rating

4.4 / 5.0

Work-Life Balance

3.9 / 5.0

Open Roles

116 (live on JobsByCulture)

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Learning](https://jobsbyculture.com/values/learning), [Product Impact](https://jobsbyculture.com/values/product-impact), [Diverse](https://jobsbyculture.com/values/diverse), [Ship Fast](https://jobsbyculture.com/values/ship-fast)

Wayve is the rare scale-up that genuinely behaves like both a research lab and a deployment company. It publishes at NeurIPS, ICRA, and CoRL. It also runs autonomous fleets on the streets of London. Among the [118 companies in our directory](https://jobsbyculture.com/companies), that combination is most comparable to [DeepMind](https://jobsbyculture.com/companies/deepmind) or [Anthropic](https://jobsbyculture.com/companies/anthropic) — except Wayve's product touches actual asphalt.

## The AV2.0 Thesis (and Why Investors Suddenly Believe It)

To understand what working at Wayve feels like, you have to understand what the company is actually arguing. The traditional autonomous vehicle stack — the one championed by Waymo, Cruise, and the now-departed Argo — treats driving as a robotics problem. There's a perception layer, a localization layer, a prediction layer, a planning layer, and a control layer, each engineered separately and stitched together. The vehicle relies on pre-mapped 3D representations of every street it operates on. Generalizing to a new city means a new mapping campaign, new edge cases, new tuning. Wayve calls this AV1.0.

AV2.0, as Wayve uses the term, treats driving as a foundation-model problem. A single end-to-end neural network ingests camera feeds and, optionally, language instructions and outputs driving behavior. The model is trained on globally diverse data and generalizes the way GPT-style models generalize across tasks. There are no HD maps. There is no separately engineered planner. The car learns to drive the same way it would learn any other modality.

For most of Wayve's existence, this was an outsider view in the AV industry. The 2026 funding round is the moment that view became investable consensus. Nvidia, Microsoft, and Uber are not contrarian bets on a scrappy startup — they are the most consequential AI infrastructure providers in the world signaling that autonomy is now an AI problem, not a robotics problem. For engineers, that thesis has a very direct day-to-day implication: Wayve is a deep-learning shop first, a robotics shop second. The kinds of people who succeed here are the kinds of people who would otherwise be at [Anthropic](https://jobsbyculture.com/companies/anthropic), [DeepMind](https://jobsbyculture.com/companies/deepmind), or [Cohere](https://jobsbyculture.com/companies/cohere) — with a particular interest in embodied AI.

## Glassdoor Ratings Breakdown

Wayve's 4.4 overall Glassdoor rating places it among the top 15 highest-rated AI companies in our directory — ahead of frontier labs like [OpenAI](https://jobsbyculture.com/companies/openai) (3.9) and roughly tied with [Cohere](https://jobsbyculture.com/companies/cohere) (4.3). For a company of 850 employees in deep technical infrastructure, that's an unusually positive signal. Here's how the sub-categories break down:

Overall Rating 4.4

Work-Life Balance 3.9

For comparison, our employee-reported data shows that [Linear](https://jobsbyculture.com/companies/linear) sits at 4.4 overall and [Notion](https://jobsbyculture.com/companies/notion) at 4.2 — companies famed for their work environment. That Wayve, a deeply technical robotics-meets-AI scale-up shipping commercial autonomy, matches those numbers is genuinely remarkable. The 3.9 WLB number is the one piece of friction worth taking seriously: it's solid, but reviewers consistently note that the deployment urgency creates pressure spikes around major milestones.

## What Employees Love

Recurring themes from Wayve's employee reviews cluster around three things: people, autonomy, and intellectual seriousness.

Employee Pro "Great culture — smart, friendly people with a supportive and inclusive familial bond"

Employee Pro "Immense creative freedom and autonomy; founders are humble and open to being challenged"

For a company at $8.6B operating in a high-stakes domain, the "humble founders" descriptor is unusual. Most AV startups have CEOs who behave like generals. Alex Kendall, by contrast, is described in reviews and external profiles as a researcher who happens to be running a company — technically deep, willing to be wrong in public, and unusually approachable for engineers. Several reviewers mention being able to disagree with leadership about technical direction and have those disagreements taken seriously.

The autonomy theme matters because it directly shapes the kind of work you'll do. Wayve operates with relatively flat technical decision-making for a company of its size. ICs propose research directions, run experiments, and ship code into a system that interacts with the physical world. Compared to working on autonomy at a Big Tech division — where the same problem spaces are gated by program managers and roadmaps — the leverage is meaningfully higher.

## What Could Be Better

Wayve is not without trade-offs. Two themes show up repeatedly in critical reviews:

Employee Con "Career progression framework is unclear — salaries and promotions feel arbitrary"

Employee Con "Very ambitious demands create vulnerability to burnout; processes built on the fly"

The first issue is common at fast-scaling research-led companies. Wayve has tripled in size in roughly 36 months, and the HR infrastructure has not always kept up with the engineering one. There is no widely published leveling guide, salary bands shift with each funding round, and promotion criteria vary by team. For senior engineers used to the explicit leveling systems at [Stripe](https://jobsbyculture.com/companies/stripe) or [Databricks](https://jobsbyculture.com/companies/databricks), this can be jarring. If you are someone who needs the org chart to be tidy before you can do your best work, Wayve will frustrate you.

The second issue is structural. Wayve is a company that builds a physical product (an autonomous driving system) on the timelines of a software product (the London robotaxi launch). That tension creates real pressure during release windows. Reviewers describe the company culture as genuinely caring — the burnout risk is not a "grind culture" risk in the Big Tech sense; it's a "we have to ship this and the system isn't ready yet" risk. Whether that bothers you depends on whether the mission feels worth the cost.

## Compensation & Benefits

Wayve does not publish salary bands, and the company's tendency to denominate compensation in British pounds while competing for global ML talent makes direct US comparisons tricky. Based on employee-reported data and adjacent benchmarks across our [compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026), here's a reasonable picture for 2026:

£120k–£180k

Senior ML Engineer Base (London)

$280k–$420k

Mountain View Total Comp Estimate

$8.6B

Last Reported Valuation

The equity story is the interesting part. Wayve has raised more than $2.5 billion across its rounds, and the Series D valuation gives current equity grants meaningful upside compared to grants made during the Series C. For employees who joined before the foundation-model thesis became consensus, the paper gains have been substantial. For new hires, the question is whether Wayve will compound from $8.6B toward the kinds of valuations the company will need to hit to justify the next round — in a market where Waymo has the deepest pockets and Tesla owns the consumer narrative.

Benefits in the UK include private health coverage, generous parental leave by US standards, pension contributions, and a learning stipend. US-based hires (mostly in Mountain View) get a US-standard benefits package. The London-default location of the company is the single biggest compensation question to negotiate: if you are an experienced US engineer evaluating Wayve, push hard on which entity employs you, because the difference between London and US compensation bands is large.

## Engineering Culture & Tech Stack

Wayve's engineering organization splits, loosely, into three pillars: the foundation-model research group, the deployment systems group, and the simulation / data engine group. Most senior ML engineers spend the majority of their time inside the first or third — either pushing model capability or building the data and evaluation systems that let the model improve. The deployment group bridges to the physical car, working closely with embedded engineers, sensor calibration specialists, and the operations team that runs the London fleet.

### Tech Stack

PyTorch Python C++ CUDA Rust ROS

The research stack is PyTorch-heavy, with extensive in-house tooling for large-scale distributed training. The deployment stack includes C++ for performance-critical paths, CUDA for inference optimization, and Rust for some newer infrastructure work. ROS shows up around the robotics interfaces but is increasingly being replaced by Wayve's own systems — consistent with the AV2.0 ethos of replacing classical robotics scaffolding with learned components.

### How engineering actually works at Wayve

-   **Research-led roadmapping.** Major directions come out of internal research proposals rather than top-down product specs. ML engineers are expected to write up hypotheses, run experiments, and present findings. The pipeline from a paper-quality idea to a production model is unusually short.
-   **Evaluation as a first-class discipline.** Because Wayve operates a physical product, knowing whether a model is "better" is hard. Significant engineering investment goes into the evaluation suite — closed-loop simulation, scenario libraries, real-world replay. Working on evaluation is high-leverage and well-respected internally.
-   **Fast feedback loops with the real world.** Unlike pure research labs, Wayve gets ground-truth signal from actual driving every day. Model regressions show up as concrete behavioral changes in fleet operations. That makes the work both more grounded and more emotionally weighted than typical ML research.
-   **Cross-pollination with the robotics & embodied AI community.** Wayve researchers publish actively at NeurIPS, ICRA, and CoRL. The engineering culture rewards contributions to the field, not just to internal codebases — one reason senior researchers from academia find the company appealing.

## Who Thrives at Wayve

The strongest signal of fit is whether you are excited by the AV2.0 thesis itself. Wayve is not the right company for someone who wants to work on autonomy with established methodologies. It's the company for someone who believes that the right way to build a self-driving system is to scale a multimodal model on globally diverse data and let it learn the world. Specifically:

-   **Foundation-model people who want embodiment.** If you have done research on LLMs, VLMs, or world models and want a problem where outputs become physical actions, Wayve is one of the few places that pairs frontier-lab modeling with a deployed product. Compare with [Wayve](https://jobsbyculture.com/companies/wayve) versus pure-research alternatives like [DeepMind](https://jobsbyculture.com/companies/deepmind)'s robotics arm.
-   **Engineers who like ambiguity.** Process is light. Documentation is sometimes thin. Decisions get made and remade as data comes in. If you need crisp specs, this will be uncomfortable.
-   **Researchers who want their work to matter immediately.** A model that ships into the fleet on Friday gets feedback in driving behavior by Tuesday. That loop is much tighter than typical academic research.
-   **People comfortable in London (or willing to relocate).** Wayve is genuinely London-centered. Mountain View and Tokyo are real offices but smaller. For senior ML hires not based in London, the conversation about location is usually a key part of the offer.

Wayve is _not_ ideal if you want strict [work-life balance](https://jobsbyculture.com/values/wlb) during ship windows, if you require highly-structured promotion ladders, or if you would rather work on AV1.0-style stacks with mature tooling. For those preferences, companies like [Cloudflare](https://jobsbyculture.com/companies/cloudflare) (4.0 Glassdoor, strong WLB) or large-cap engineering orgs with formal leveling will be a better fit.

## Open Positions at Wayve

Wayve currently has **108 open positions** live on JobsByCulture, with the highest concentration in machine learning research, ML engineering, simulation, and embedded systems. London accounts for the majority, with smaller pools in Mountain View and Tokyo. If the AV2.0 thesis resonates with you and you want a role where research excellence and product deployment overlap, the next 12 months — bracketing the London robotaxi launch — are arguably the highest-leverage window to join in the company's history.

For the live job listings, salary discussion, and culture fit indicators, see [Wayve jobs](https://jobsbyculture.com/jobs?company=wayve) or visit the [Wayve culture profile](https://jobsbyculture.com/companies/wayve) for the full breakdown.

## Frequently Asked Questions About Working at Wayve

How many employees does Wayve have in 2026?+

Wayve has approximately 850 employees as of 2026, having roughly doubled since the start of 2024 on the back of its $1.05B Series C and $1.2B Series D rounds. The company is hiring aggressively across London (HQ), Mountain View, and Tokyo, with 108 open roles concentrated in machine learning research, simulation, and embedded systems. See the live [Wayve jobs](https://jobsbyculture.com/jobs?company=wayve) for current openings.

What is Wayve's valuation and funding history?+

Wayve has raised more than $2.5 billion across its history, with the most recent round being a $1.2 billion Series D in February 2026 at an $8.6 billion post-money valuation. The Series D was led by Eclipse, Balderton, and SoftBank Vision Fund 2, with participation from Nvidia, Microsoft, Uber, and three automakers. It is currently the most highly-valued autonomous vehicle startup in Europe and one of the largest AI scale-ups globally.

What does "AV2.0" actually mean?+

AV2.0 is Wayve's term for a foundation-model approach to autonomous driving. Traditional autonomous vehicle stacks (AV1.0) rely on HD maps, hand-coded planners, and modular pipelines for perception, prediction, and control. AV2.0 replaces that with a single, end-to-end neural network trained on large-scale, globally diverse data. The bet is that autonomy will look more like a multimodal language-and-vision model than a classical robotics system — and that this approach will generalize across cities and vehicle platforms without per-location engineering.

What is Wayve's compensation like for engineers?+

Wayve does not publish salary bands, and most engineering hires are made through its UK entity. Based on employee-reported data, senior ML engineer base salaries in London fall roughly in the £120k–£180k range, with equity grants that have appreciated meaningfully through the recent funding rounds. Mountain View total compensation for equivalent roles is materially higher in dollar terms. For broader context across the industry, see our [2026 AI compensation rankings](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026).

Is Wayve remote-friendly?+

Wayve is primarily an in-office company in London, with engineering hubs in Mountain View and Tokyo. Some roles offer hybrid arrangements, but the company's deep technical collaboration, simulation infrastructure, and physical vehicle work mean the majority of engineering happens in person. If remote work is a non-negotiable for you, evaluate other companies on our [remote-friendly culture page](https://jobsbyculture.com/values/remote).

How does Wayve compare to Waymo, Tesla, and other AV companies?+

The cleanest framing is approach. Waymo represents the most mature AV1.0 stack: modular pipelines, HD maps, deep operational maturity in select US cities. Tesla operates an end-to-end approach at consumer scale but with a vertically-integrated hardware-software stack tied to its vehicles. Wayve sits closest to Tesla in modeling philosophy but is hardware-agnostic by design — partnering with multiple OEMs and Uber rather than producing its own vehicles. The bet is that being the autonomy software layer for many manufacturers will, over time, produce both more data diversity and a broader commercial surface area than either pure-play robotaxi operators or vertically-integrated automakers.

When will Wayve robotaxis launch in London?+

Following the Series D, Wayve and Uber announced a robotaxi partnership with London as the first launch market in 2026, scaling to 10+ global markets over the following years. The exact launch timing is still being finalized as the company works through regulatory approvals, fleet operations, and safety validation. The next 12 months bracketing this launch are widely viewed as one of the most consequential periods in the company's history — and a significant reason for the current hiring volume.

### Browse all 116 Wayve roles — with culture context

Live Wayve openings across ML research, simulation, embedded systems, and operations — alongside roles from [Anthropic](https://jobsbyculture.com/companies/anthropic), [DeepMind](https://jobsbyculture.com/companies/deepmind), and 116 other AI & tech companies.

[View Wayve Jobs →](https://jobsbyculture.com/jobs?company=wayve) [See Wayve Culture Profile →](https://jobsbyculture.com/companies/wayve)

---

## Document: Working at Weaviate in 2026: Open-Source Vector DB, Remote Culture & What Employees Say

# Working at Weaviate in 2026: Open-Source Vector DB, Remote Culture & What Employees Say

> Working at Weaviate in 2026: ~110 employees, fully remote, 4.3 Glassdoor rating, open-source vector database with 14K+ GitHub stars, $67.7M raised, and what the async-first culture is really like.

Source: https://jobsbyculture.com/blog/working-at-weaviate-2026
Markdown: https://jobsbyculture.com/blog/working-at-weaviate-2026.md
Last updated: 2026-07-14

---
If you've built anything with RAG, semantic search, or AI agents in the last two years, you've probably come across [Weaviate](https://jobsbyculture.com/companies/weaviate). The open-source vector database has quietly become one of the foundational pieces of AI infrastructure — 14,000+ GitHub stars, over 2 million downloads, and a growing list of enterprises running it in production. Behind the technology is a company of about 110 people, fully distributed across the globe, backed by $67.7 million in funding from Index Ventures, NEA, and Battery Ventures.

But what is it actually like to work there? Weaviate is not a household name like Stripe or Anthropic. It's a European-founded, open-source-first company operating in one of the hottest infrastructure categories in AI. We dug into employee reviews, the company's public engineering content, and the culture signals to paint an honest picture of Weaviate as an employer in 2026.

## Weaviate at a Glance

Founded

2019

Headquarters

Remote-first (Founded in Amsterdam)

Founders

Bob van Luijt (CEO) & Etienne Dilocker (CTO)

Company Size

~110 employees

Funding

$67.7M (Series B)

Glassdoor Rating

4.3 / 5.0 (30 reviews)

Work-Life Balance

4.2 / 5.0

CEO Approval

90% (Bob van Luijt)

Recommend to Friend

82%

Culture Values

[Remote](https://jobsbyculture.com/values/remote), [Async](https://jobsbyculture.com/values/async), [Flat](https://jobsbyculture.com/values/flat), [Open Source](https://jobsbyculture.com/values/open-source), [WLB](https://jobsbyculture.com/values/wlb), [Diverse](https://jobsbyculture.com/values/diverse)

## The Origin Story: From Side Project to Series B

Weaviate's origin is more organic than most venture-backed startups. Bob van Luijt started working on the project around 2016, initially as an open-source knowledge graph. At the time, he was running a consultancy and experimenting with ways to make data more semantically accessible. The idea was simple but ahead of its time: what if you could search data by meaning rather than keywords?

The project evolved through several iterations before landing on vector embeddings as the core primitive. By 2019, van Luijt and Etienne Dilocker formally incorporated Weaviate B.V. and went all-in on building a purpose-built vector database. The timing turned out to be prescient. When the generative AI wave hit in late 2022, the demand for vector databases exploded practically overnight. Every company building with LLMs needed somewhere to store and retrieve embeddings, and Weaviate was one of a handful of mature options.

The funding followed: a $16M Series A in 2022, then a $50M Series B led by Index Ventures in April 2023, bringing total funding to roughly $67.7M. But unlike many companies that rode the AI hype cycle to massive rounds and rapid headcount growth, Weaviate has stayed deliberately lean. At roughly 110 employees with $67.7M raised to date, they have significant runway and have resisted the temptation to hire aggressively just because the capital was there.

Employee Pro "The company has a clear mission and a product that genuinely matters in the AI ecosystem. You're not building something trivial."

## Culture: Async-First, Flat, and Genuinely Remote

Weaviate's culture is defined by three interlocking decisions: fully remote, async-first communication, and a flat organizational structure. These aren't buzzwords on a careers page — they're load-bearing architectural choices that shape every aspect of how the company operates.

### Remote-first means remote-first

There is no headquarters people are quietly expected to visit. There are no "optional" in-person days that somehow determine your visibility. Weaviate was born remote. The team is distributed across Europe, North America, Asia, and beyond. This is a genuine [remote-first](https://jobsbyculture.com/values/remote) company in the strongest sense — the entire operational infrastructure assumes that no two people are in the same room.

The benefit is obvious: you can hire from anywhere. The team includes people from the Netherlands, Germany, the US, the UK, India, and a dozen other countries. For employees, it means genuine flexibility to live where you want and structure your day around your life rather than a commute.

### Async by default

The corollary of being globally distributed is that synchronous communication doesn't scale. Weaviate has embraced [async-first](https://jobsbyculture.com/values/async) workflows with documented playbooks, written decision records, and a culture of putting things in writing rather than scheduling a meeting. This is not the "remote but we're all on Slack 12 hours a day" model that plagues many distributed companies. The expectation is that you document your work, communicate clearly in writing, and respect that your colleague in a different timezone will read it when their day starts.

Reviews consistently mention the quality of internal documentation. Multiple employees describe a culture where proposals and decisions are written down, shared for asynchronous feedback, and then executed — a workflow that echoes the best practices of companies like [PostHog](https://jobsbyculture.com/blog/working-at-posthog-2026) and GitLab.

Employee Pro "Truly async culture. No pressure to be online at specific times. Communication is thoughtful and documented."

### Flat hierarchy, psychological safety

At 110 people, Weaviate is small enough that a [flat structure](https://jobsbyculture.com/values/flat) is genuine rather than aspirational. Employees describe having direct access to the founders, being able to challenge ideas regardless of seniority, and feeling heard from day one. The 4.5/5 Culture & Values score — one of the highest among the companies in our [directory](https://jobsbyculture.com/companies) — reflects this. Several reviews specifically mention blameless retrospectives and a "no ego" environment where the best idea wins regardless of who proposes it.

This kind of psychological safety is harder to maintain as companies grow, and it's worth noting that Weaviate will face the test of preserving this culture as they scale past 150–200 people. But for now, it's clearly a strength.

Employee Pro "Flat hierarchy where everyone is willing to help. No ego, no politics. Your voice matters from day one."

## What the Glassdoor Numbers Say

Weaviate's 4.3 overall Glassdoor rating, based on 30 employee reviews, places it in the upper tier of companies in our directory. The sub-scores tell a consistent story of a company that has built a genuinely positive work environment, with some expected trade-offs for a company at this stage.

Culture & Values 4.5

Overall Rating 4.3

Work-Life Balance 4.2

Career Opportunities 4.1

The Culture & Values score of 4.5 is the standout. It confirms what reviews describe qualitatively: this is a company where people feel respected, trusted, and aligned with the mission. The 4.2 Work-Life Balance score is strong for a startup — meaningfully better than companies like Stripe (3.6) or [Scale AI](https://jobsbyculture.com/companies/scale) (3.2) — and reflects the genuine flexibility of async-first work.

Career Opportunities at 4.1 is good but hints at the reality of a 110-person company: there are fewer ladders to climb and fewer specialized roles to grow into compared to a larger organization. The 90% CEO approval for Bob van Luijt is notably high and consistent with reviews that describe him as approachable, mission-driven, and genuinely invested in the team.

14K+

GitHub Stars

90%

CEO Approval

4.5

Culture & Values

## Engineering & Open Source

Weaviate's core database engine is written in Go — a deliberate choice for a system that needs high concurrency, efficient memory management, and predictable latency for vector similarity search. The codebase handles HNSW (Hierarchical Navigable Small World) indexing, hybrid search combining vector and keyword retrieval, and multi-tenancy at scale. These are genuinely hard computer science problems, not CRUD APIs with a vector twist.

### Tech Stack

Go Python TypeScript GraphQL gRPC Docker Kubernetes

The Go core is complemented by Python and TypeScript client libraries, a GraphQL API, and gRPC for high-performance communication. The infrastructure runs on Kubernetes, with Weaviate Cloud offering managed deployments. For engineers who care about systems-level work, this is a rich environment — you're dealing with memory-mapped files, custom indexing algorithms, and the intersection of information retrieval and machine learning.

### Open source as identity, not marketing

Weaviate is not a company that open-sourced a thin wrapper around a proprietary core. The entire database engine is open-source under the BSD-3-Clause license. With 14,000+ GitHub stars and over 2 million downloads, it has a real contributor community. The [open-source](https://jobsbyculture.com/values/open-source) nature of Weaviate is not a growth hack — it's the company's identity. Bob van Luijt has been public about his belief that infrastructure software should be open, and the commercial model (Weaviate Cloud) is built on top of, not instead of, the open-source project.

For engineers, this means your work is visible. Your contributions are public. The feedback loop with the community is direct and immediate. If you're the kind of engineer who finds motivation in building something that thousands of developers use and contribute to, this is one of the purest expressions of that in the current AI infrastructure landscape.

Employee Pro "Working on genuinely cutting-edge open-source AI infrastructure. The community is active and the technology is real."

## Compensation: What We Know (and Don't)

Let's be honest: public compensation data for Weaviate is thin. With only ~110 employees and 30 Glassdoor reviews, there isn't the volume of salary reports you'd find for a company like Stripe or Databricks. This is not unusual for a European-founded company of this size — [Supabase](https://jobsbyculture.com/blog/working-at-supabase-2026) and [PostHog](https://jobsbyculture.com/blog/working-at-posthog-2026) have similar data gaps.

What we can say with confidence:

-   **Remote-adjusted compensation.** As a globally distributed company, Weaviate adjusts pay based on location. This is standard practice for remote-first companies but worth understanding: a senior engineer in Amsterdam and one in Austin may have different base salaries reflecting cost-of-living differences.
-   **Equity with upside.** With $67.7M raised at a Series B valuation and the vector database market still growing rapidly, early equity holders have meaningful potential upside. The market for AI infrastructure is not going away, and Weaviate is positioned as one of the leading players.
-   **Startup-stage trade-offs.** At 110 people, Weaviate is unlikely to match the raw total comp numbers of a Stripe ($280k–$400k+) or an Anthropic ($300k–$490k). The bet is on equity appreciation, mission alignment, and the quality of the work environment — which, based on the Glassdoor data, employees value highly.

If compensation transparency is a top priority for you, this is a legitimate gap. It's worth asking directly during the interview process about salary bands, equity structure, and refresh grants. Companies at this stage vary widely in how formalized their compensation frameworks are.

## The Trade-Offs: What Could Be Better

No company is perfect, and Weaviate has trade-offs that are directly tied to the same things that make it appealing. Here's what employees flag:

Employee Con "Time zone challenges are real. Collaborating with colleagues 8+ hours apart requires patience and planning."

Employee Con "Startup growing pains — processes are still being established. Things that are documented at a larger company are still being figured out here."

Employee Con "Small team means wearing many hats. If you want deep specialization, there may not be room for it yet."

Employee Con "Business model is still maturing. Weaviate Cloud is growing, but monetizing open-source at scale is an unsolved problem across the industry."

These are honest critiques, and they're worth weighing seriously. The timezone issue is inherent to any globally distributed company — no amount of async tooling completely eliminates the friction of trying to collaborate with someone who is asleep while you're working. The growing-pains complaint is normal for a 110-person company that has grown quickly from a much smaller team, but it means you'll sometimes spend time building the plane while flying it.

The business model question is the most structural. Open-source database companies have historically struggled with monetization — the path from beloved community project to sustainable business is littered with cautionary tales. Weaviate Cloud is the answer, and it's growing, but the long-term economics of competing with cloud giants (AWS, GCP, Azure) who can offer vector capabilities as features within their ecosystems is an open question. If you're risk-averse about company longevity, this is worth thinking about.

## Who Thrives at Weaviate

Based on the culture signals, employee reviews, and the nature of the work, here's who tends to do well at Weaviate:

-   **Async-native communicators.** If you write clearly, document your thinking, and don't need immediate responses to feel productive, you'll love this environment. If you thrive on spontaneous brainstorming sessions and hallway conversations, the async model will feel isolating.
-   **Open-source believers.** If building in public, engaging with a contributor community, and working on software that thousands of developers use excites you, Weaviate is a natural fit. Your GitHub profile _is_ your resume here.
-   **Self-directed generalists.** At 110 people, you'll own broad areas of responsibility. If you want to go deep on one narrow thing, a larger company might be a better fit. If you want to touch the database engine, the cloud infrastructure, and the developer experience all in the same quarter, Weaviate delivers.
-   **People who value autonomy over structure.** Weaviate gives you the freedom to manage your own time, set your own schedule, and work from wherever you want. The flip side is that there's less hand-holding, fewer established processes, and more ambiguity. If you need clear guardrails and defined career ladders, the startup environment might not suit you.
-   **Systems engineers who care about AI infrastructure.** If you're excited by HNSW algorithms, hybrid search ranking, multi-tenancy at scale, and the intersection of databases and machine learning — this is one of the most interesting places to work on these problems outside of the cloud hyperscalers.

Weaviate is _not_ ideal for people who want big-company structure, established career paths, or maximum total compensation. It's also not for people who struggle with remote isolation — you need to be proactive about building relationships when you never share a physical space with your colleagues. If remote work makes you feel disconnected, consider companies with strong in-person cultures like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [Stripe](https://jobsbyculture.com/companies/stripe) instead.

## Open Positions at Weaviate

Weaviate currently has **4 open positions** listed on our platform. The small number reflects the company's deliberate approach to hiring — they're not filling seats, they're adding people who will meaningfully shape the product and culture. Given the team size, each hire has an outsized impact.

For full details on Weaviate's open roles, culture values, and side-by-side comparisons with other companies, visit the [Weaviate culture profile page](https://jobsbyculture.com/companies/weaviate).

## Frequently Asked Questions About Working at Weaviate

How many employees does Weaviate have in 2026?+

Weaviate has approximately 110 employees as of 2026. The company is fully remote with team members distributed across multiple countries and time zones. Despite the small size, Weaviate has raised $67.7M in funding and is one of the leading vector database companies in the AI infrastructure space.

Is Weaviate fully remote?+

Yes. Weaviate is a fully remote, distributed company. Founded in Amsterdam, the team works across multiple time zones with an async-first communication culture. There is no central office requirement, and employees set their own schedules with flexibility to work from anywhere.

What is Weaviate's Glassdoor rating?+

Weaviate has a 4.3 out of 5.0 Glassdoor rating based on 30 reviews. Work-Life Balance is rated 4.2/5, Culture & Values 4.5/5, and Career Opportunities 4.1/5. 82% of employees recommend working there and CEO Bob van Luijt has a 90% approval rating. See our [full Weaviate culture profile](https://jobsbyculture.com/companies/weaviate) for the complete breakdown.

What programming language is Weaviate built with?+

Weaviate's core vector database engine is written in Go. The choice of Go reflects a focus on performance, concurrency, and efficient memory management — critical for a database that handles high-dimensional vector operations. The project also includes Python and TypeScript client libraries, and uses GraphQL and gRPC for its API layer.

Is Weaviate open source?+

Yes. Weaviate's core vector database is fully open-source under the BSD-3-Clause license. The project has over 14,000 GitHub stars and has been downloaded more than 2 million times. Weaviate Cloud offers a managed service on top of the open-source core, which is the company's primary revenue model.

How does Weaviate compare to Pinecone?+

Weaviate and Pinecone are both vector databases but take different approaches. Weaviate is open-source (you can self-host) and built in Go, while [Pinecone](https://jobsbyculture.com/companies/pinecone) is a fully managed, closed-source service. Weaviate offers more flexibility and transparency; Pinecone offers a simpler managed experience. Culture-wise, Weaviate is remote-first and async while Pinecone operates with a more traditional model. See our [Pinecone deep-dive](https://jobsbyculture.com/blog/working-at-pinecone-2026) for comparison.

What is the compensation like at Weaviate?+

Public compensation data for Weaviate is limited given the company's size (~110 employees). As a remote-first company backed by $67.7M in funding, Weaviate offers competitive compensation adjusted for location. The company's Series B valuation and growing revenue from Weaviate Cloud suggest meaningful equity upside for early employees. Ask directly about salary bands and equity structure during the interview process.

### Explore Weaviate's open roles

See Weaviate's 4 open positions alongside jobs from companies like Pinecone, Supabase, PostHog, and more — all with culture context.

[View Weaviate Jobs →](https://jobsbyculture.com/jobs?company=weaviate) [Full Culture Profile →](https://jobsbyculture.com/companies/weaviate)

---

## Document: Working at Webflow in 2026: Remote-First Culture, AI Pivot & What Employees Say

# Working at Webflow in 2026: Remote-First Culture, AI Pivot & What Employees Say

> Working at Webflow in 2026: ~1,700 employees, remote-first since day one, 3.7 Glassdoor rating, $140k–$280k engineer comp, and what the company

Source: https://jobsbyculture.com/blog/working-at-webflow-2026
Markdown: https://jobsbyculture.com/blog/working-at-webflow-2026.md
Last updated: 2026-07-14

---
[Webflow](https://jobsbyculture.com/companies/webflow) has always been a company that defied easy categorization. Founded in 2013 by brothers Vlad and Sergie Magdalin along with Bryant Chou, it set out to answer a deceptively hard question: why should building a website require writing code? But what Webflow built was far more ambitious than a drag-and-drop editor. It created a visual development environment that generates clean, production-ready HTML, CSS, and JavaScript — powerful enough for professional designers and developers, yet approachable enough for teams with no engineering resources.

Today, with roughly ~$212.5M in ARR growing at approximately 66% year over year and a ~$4B valuation from its 2022 Series C, Webflow sits at a fascinating inflection point. The company went through an 8% workforce reduction in July 2024 and immediately doubled down on an AI-first product strategy that is reshaping what kind of company Webflow is — and what kind of engineer fits there. This is the full picture of what it's like to work at Webflow in 2026.

## Webflow at a Glance

Founded

2013

Headquarters

San Francisco, CA (Remote-first)

Founders

Vlad Magdalin, Sergie Magdalin, Bryant Chou

Company Size

~1,700 employees

Valuation

~$4B (Series C, 2022)

ARR

~$212.5M (2024, ~66% YoY growth)

Glassdoor Rating

3.7 / 5.0 (139 reviews)

Work-Life Balance

4.0 / 5.0

Recommend to Friend

65%

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Product Impact](https://jobsbyculture.com/values/product-impact), [Remote](https://jobsbyculture.com/values/remote), [Work-Life Balance](https://jobsbyculture.com/values/wlb), [Learning](https://jobsbyculture.com/values/learning)

Open Roles

32 currently listed

## What Makes Webflow Different

The most distinctive thing about Webflow isn't the product — it's the timing. Webflow went [remote-first](https://jobsbyculture.com/values/remote) years before the pandemic made distributed work fashionable. This wasn't a forced pivot; it was a deliberate structural choice made when the founding team realized the talent they wanted wasn't concentrated in a single city. The result is a company where distributed-first thinking is deeply embedded in how decisions get made, how teams communicate, and how culture is maintained across time zones.

This matters in 2026 more than it did in 2021, because we now have data on how remote companies held up when the post-pandemic RTO wave swept through tech. Webflow didn't flinch. While companies like Salesforce, Amazon, and even Shopify marched employees back to offices, Webflow has never issued a return-to-office mandate. That consistency is a genuine cultural signal — not just marketing language on a careers page. For the engineers, designers, and product managers who have built their lives around remote work, Webflow is one of relatively few established companies at scale that has stayed the course.

The second defining characteristic is the company's deeply [engineering and design-driven](https://jobsbyculture.com/values/eng-driven) DNA. Webflow's core product — a visual canvas that renders real code — is technically complex. The rendering engine, the CMS architecture, the Cloudflare-backed global infrastructure spanning 330+ cities: these are hard engineering problems dressed in a no-code interface. Engineers at Webflow regularly describe solving infrastructure challenges that aren't obvious from the outside. The gap between "it's a website builder" and "it's a real-time DOM manipulation engine running on distributed edge infrastructure" is where most of the interesting engineering happens.

Employee Pro "Remote-first for real — not a pandemic policy that quietly expired. The async culture is genuine and the tools to support it have been built over years, not months."

## The AI Transformation: What It Means for Engineers

If there is one thing that will define Webflow for the next several years, it is the company's bet on AI as a core product layer — not a feature, but a fundamental architectural shift. The move began in earnest with the AI Site Builder, which lets users generate and iterate on websites through natural language prompts rather than manual canvas manipulation. But that was only the first step.

In February 2026, Webflow launched a Claude connector, integrating Anthropic's Claude directly into the Webflow platform. This allows users to access LLM capabilities natively within their Webflow projects — think AI-generated copy, dynamic content, and automated CMS updates from within the same visual interface. A month later, in April 2026, the company launched Webflow AEO (Answer Engine Optimization), a toolset designed to help content teams optimize for LLM-powered answer engines rather than traditional search rankings. This is a meaningful product bet: as Google, Perplexity, and ChatGPT reshape how people discover information, Webflow is positioning its platform as the place where AEO-optimized content gets built and published.

The most ambitious initiative is App Gen — Webflow's full-stack AI code generation tool. App Gen takes the visual development philosophy and extends it into the application layer, generating not just frontend markup but complete full-stack application logic. This is a direct challenge to traditional development workflows and signals how aggressively Webflow is repositioning itself: from "website builder for designers" to "AI-native application platform for anyone who builds on the web."

The internal implications for engineers are significant. 89% of Webflow engineers now use AI daily in their work — not as a novelty, but as a core part of the development workflow. This is one of the highest AI adoption rates among the [118 companies in our directory](https://jobsbyculture.com/companies). If you're an engineer who wants to work with and on AI-powered tools at a company that has made it the center of its product strategy, Webflow in 2026 is a distinctly different proposition than it was three years ago.

Employee Pro "The AI pivot is real — not a press release strategy. Engineers are building with these tools every day and the product roadmap reflects it."

## Glassdoor Ratings Breakdown

Webflow's overall rating of 3.7 out of 5.0, based on 139 employee reviews, is lower than you might expect for a company with strong ARR growth and a genuinely remote-first culture. Context matters here. The rating reflects the company at a particular moment of transition: coming out of the 2022 valuation correction, through an 8% workforce reduction in July 2024, and into a strategic AI pivot that has reshuffled priorities across the organization. The lower overall score is less about day-to-day experience and more about strategic uncertainty — a pattern we see consistently in companies going through pivots of this magnitude.

The verified scores we can speak to:

Work-Life Balance 4.0

Overall Rating 3.7

The 4.0 WLB score is a genuine standout. Across the [companies in our Culture Directory](https://jobsbyculture.com/companies), it places Webflow among the better employers for work-life balance — consistent with the remote-first culture that genuinely protects flexibility. For context, it scores higher on WLB than [Stripe](https://jobsbyculture.com/companies/stripe) (3.6), and on par with companies like [HubSpot](https://jobsbyculture.com/companies/hubspot) that have explicitly built flexibility into their operating model. The 65% recommend rate, lower than you'd want to see at a healthy company, reflects the post-layoff and mid-pivot uncertainty more than it reflects structural dysfunction.

4.0

Work-Life Balance Score

89%

Engineers Using AI Daily

66%

ARR Growth YoY

## What Employees Actually Say

We analyzed recurring themes across Webflow's employee reviews. The picture is nuanced: there's genuine enthusiasm for the product and the people, paired with real frustration around organizational flux. Here's what surfaces consistently.

### What employees love

Employee Pro "The product genuinely matters to real users — you can see the impact of your work in public customer sites and hear about it directly. That kind of feedback loop is rare."

Employee Pro "Remote-first done right. Not 'you can work from home sometimes' — actually built for async, documentation is strong, and meetings are intentional rather than reflexive."

Employee Pro "Talented colleagues who care deeply about design quality and craft. The bar for product thinking is high and it pushes everyone around it."

Employee Pro "The AI tools integration has been genuinely additive to my workflow — not a distraction or a mandate, but something that actually makes the engineering work faster."

The consistent thread across positive reviews is the combination of [product impact](https://jobsbyculture.com/values/product-impact) and genuine [remote culture](https://jobsbyculture.com/values/remote). Webflow's users are vocal and enthusiastic, and that community energy permeates the internal culture. Engineers describe watching their infrastructure updates roll out to real sites used by real designers and businesses, and that visibility into impact is a meaningful motivator. The company's community forum and user base give employees a feedback signal that is unusually direct compared to most B2B SaaS companies.

### What could be better

Employee Con "The 2024 layoffs created real uncertainty — it's been hard to plan long-term when the strategic roadmap keeps shifting around the AI pivot."

Employee Con "Leadership communication has been inconsistent post-restructuring. The vision is ambitious but the execution plan isn't always visible from an IC perspective."

Employee Con "With 1,700 people and a lot of competing priorities, cross-functional alignment can be slow. More process than you'd expect from a company still in growth mode."

Employee Con "Compensation is competitive but not market-leading for senior engineers who have strong alternatives at AI-native companies."

The pattern across negative reviews points to a company mid-transformation. The layoffs and pivot have introduced organizational uncertainty that hasn't fully resolved. Decisions at the top feel more opaque to ICs than they did when the company was smaller and more focused. This is a common dynamic at Series C companies going through strategic pivots — not a dysfunction unique to Webflow — but it's worth factoring in if you value stability and clear near-term direction over optionality and an interesting inflection point.

## Compensation & Benefits

Total compensation for software engineers at Webflow typically ranges from $140,000 to $280,000, depending on level and location, including base salary, equity, and standard benefits. This is in line with well-funded Series C SaaS companies and meaningfully competitive within the design-tool and no-code space. It does sit below what frontier AI labs like [Anthropic](https://jobsbyculture.com/companies/anthropic) or [OpenAI](https://jobsbyculture.com/companies/openai) offer at senior levels, and below companies like [Stripe](https://jobsbyculture.com/companies/stripe) at L5 and above — but it's important to benchmark against the right peers.

The equity component is where the picture gets interesting. Webflow's ~$4B valuation from the 2022 Series C came during the peak of the valuation cycle, meaning paper equity granted at that round has been under pressure during the correction. However, with ARR growing at roughly 66% year over year and a clear product thesis around AI, there is a plausible path to meaningful equity upside for employees who join during this period of recalibration. The risk-reward calculus is different from joining a company at a stable, established valuation.

Benefits are solid for a company of Webflow's size: generous healthcare coverage, parental leave, professional development budget, and the equipment and home office support that comes standard with a genuine remote-first culture. The remote-first commitment also means geographic flexibility — Webflow hires across the US and in select international markets, without the punitive location-based pay adjustments that some companies use to claw back compensation from employees who move out of major metros.

## Engineering Culture & Tech Stack

Webflow's engineering team operates on a scale that most people don't appreciate. The company's content delivery and site infrastructure runs on Cloudflare's network across 330+ cities globally — a genuine edge computing deployment that requires serious distributed systems thinking. When a Webflow site gets traffic, the rendering happens as close to the end user as possible, and Webflow engineers own that full stack: from the visual editor that generates the page structure, to the rendering layer, to the CDN integration that delivers it worldwide.

### Tech Stack

Node.js React TypeScript Go Cloudflare Workers PostgreSQL

The frontend engineering culture at Webflow is unusually sophisticated compared to most SaaS companies because the product itself is a frontend engineering environment. Engineers who work on the Webflow Designer are effectively building a web IDE — the complexity involves real-time DOM manipulation, constraint-based layout systems, and performance optimization at a level most product teams never encounter. There's a reason Webflow has historically attracted engineers who care deeply about the craft of frontend development.

The AI layer adds a new dimension. Engineers working on App Gen and the Claude connector integration are building at the intersection of LLM orchestration, UI generation, and Webflow's existing visual development platform. This is technically novel work — the kind of problem that doesn't have established playbooks and requires genuine invention. For engineers who want to be at the frontier of AI-assisted development tooling, Webflow's current roadmap is genuinely interesting.

## The 2024 Layoffs: What Happened & What Changed

In July 2024, Webflow laid off approximately 8% of its workforce. The company framed the cuts as a strategic reorientation — redirecting resources away from certain functions toward the AI product investments it had committed to. Unlike some tech layoffs that were purely about cost reduction, Webflow's restructuring was at least partially directional: the company was acknowledging that its next chapter would require a different mix of capabilities than the previous one.

The aftermath has been mixed. The employees who remained are working on an ambitious and well-funded roadmap. But the Glassdoor signal is clear: uncertainty about strategic direction and leadership communication have not fully healed. The 65% recommend rate (down from higher historical levels) reflects a workforce that is engaged but not yet re-rallied around the new vision with full conviction. This is a company in recovery from a difficult moment — which is also, historically, when the people who join tend to be in for an interesting ride.

## Who Thrives at Webflow — and Who Doesn't

Webflow has a clear cultural profile, and it selects for a specific type of engineer and team member. Based on the culture signals, employee feedback, and the company's stated values, here's who tends to do well:

-   **Remote-first believers.** Webflow's distributed culture runs deep and is not compatible with engineers who prefer in-person collaboration as a default. If you thrive on scheduled async communication, written documentation as the source of truth, and autonomy over your work environment, Webflow is an unusually genuine fit.
-   **Designers and engineers who care about craft.** The Webflow product is built by people who believe deeply in the quality of web development as a craft. If you have opinions about CSS architecture, rendering performance, and the gap between design tools and production code, you'll find like-minded colleagues.
-   **AI-native engineers excited by tooling frontiers.** With App Gen, the Claude connector, and a stated commitment to AI as a core product layer, Webflow is a compelling environment for engineers who want to work on AI-powered development tools — not just use them, but build them.
-   **People comfortable with strategic ambiguity.** The post-layoff, mid-pivot environment means the near-term roadmap has more uncertainty than a company in a stable, predictable growth phase. Engineers who find that energizing — who see pivots as opportunity — will be better positioned than those who need clear three-year plans to do their best work.
-   **Growth-oriented learners.** Webflow's [learning culture](https://jobsbyculture.com/values/learning) rewards people who proactively seek to develop new skills, especially at the AI-tooling frontier. The company invests in professional development, but the opportunities are most available to those who drive them rather than wait to have them structured.

Webflow is _not_ ideal for engineers who want the predictability of a large, established company with clear promotion tracks and stable organizational structures. The 3.7 overall rating and the post-layoff uncertainty signal a company that is still resolving its organizational identity around its new AI-first direction. If that kind of optionality doesn't appeal to you, [HubSpot](https://jobsbyculture.com/companies/hubspot), [Databricks](https://jobsbyculture.com/companies/databricks), or later-stage companies with more settled cultures may be a stronger fit.

Webflow currently has **25 open positions** on our platform, spanning engineering, product, and go-to-market roles. For full details on Webflow's culture values and open roles, visit the [Webflow culture profile page](https://jobsbyculture.com/companies/webflow).

## Frequently Asked Questions About Working at Webflow

How many employees does Webflow have in 2026?+

Webflow has approximately 1,700 employees as of 2026. The company laid off 8% of its workforce in July 2024 as part of a strategic restructuring tied to its AI-first pivot. Webflow currently has 25 open roles, reflecting a period of selective, focused hiring rather than broad growth. For a broader view of company sizes, see our [AI company employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

Is Webflow remote-friendly in 2026?+

Yes — Webflow is one of the most genuinely [remote-first companies](https://jobsbyculture.com/values/remote) in tech. The company has never issued a return-to-office mandate and built its distributed culture before the pandemic made remote work mainstream. Most roles are open to candidates across the US and globally, and the company's internal practices (async communication, documentation-first) are designed for distributed teams.

What is Webflow's Glassdoor rating?+

Webflow has a 3.7 out of 5.0 Glassdoor rating based on 139 reviews. Work-Life Balance is rated 4.0/5 — one of the higher scores in the design-tool space. 65% of employees recommend working there. The lower overall score relative to the WLB score reflects concerns around post-layoff strategic uncertainty rather than day-to-day experience. See the [full Webflow culture profile](https://jobsbyculture.com/companies/webflow) for the complete breakdown.

Did Webflow have layoffs?+

Webflow laid off approximately 8% of its workforce in July 2024. The company cited a shift in priorities toward AI-first product development. The restructuring eliminated roles in some non-core functions while redirecting resources toward its AI Site Builder, App Gen (full-stack AI code generation), and the Claude connector integration launched in February 2026. For context on industry-wide workforce changes, see our [tech layoffs analysis](https://jobsbyculture.com/blog/oracle-layoffs-2026).

What is Webflow's compensation for engineers?+

Total compensation for software engineers at Webflow typically ranges from $140k to $280k depending on level and location, including base salary, equity, and benefits. The equity component is meaningful given Webflow's ~$4B valuation and strong ARR growth (~$212.5M in 2024, up ~66% YoY). Compensation is generally in line with Series C SaaS companies — competitive but below frontier AI lab levels. See our [highest-paying tech companies](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) rankings for full context.

What is Webflow's AI strategy in 2026?+

Webflow has made AI central to its product roadmap. The company launched an AI Site Builder, App Gen (a full-stack AI code generation tool), a Claude connector integration in February 2026, and Webflow AEO (Answer Engine Optimization) in April 2026. 89% of Webflow engineers use AI daily in their work. The company is positioning itself as the platform that lets non-coders build full-stack applications — an ambitious bet that defines the opportunity for engineers joining now. See the [Webflow company profile](https://jobsbyculture.com/companies/webflow) for more.

### Explore Webflow roles & culture

See Webflow's 25 open roles alongside jobs from [118 companies](https://jobsbyculture.com/companies) with culture context — remote-first, eng-driven, and beyond.

[View Webflow Jobs →](https://jobsbyculture.com/companies/webflow) [Browse Remote Jobs →](https://jobsbyculture.com/jobs?value=remote)

---

## Document: Working at Writer in 2026: Palmyra LLMs, $1.9B Valuation & Culture

# Working at Writer in 2026: Palmyra LLMs, $1.9B Valuation & Culture

> Working at Writer in 2026: ~400 employees, $1.9B valuation, in-house Palmyra LLMs, 3.5 Glassdoor, and what it

Source: https://jobsbyculture.com/blog/working-at-writer-2026
Markdown: https://jobsbyculture.com/blog/working-at-writer-2026.md
Last updated: 2026-07-14

---
Most generative AI startups in 2026 are, at the engineering level, wrappers. They take prompts, pass them to [OpenAI](https://jobsbyculture.com/companies/openai) or [Anthropic](https://jobsbyculture.com/companies/anthropic), post-process the output, and bill the customer. The actual model training, the alignment work, the data engineering at scale — that happens somewhere else. [Writer](https://jobsbyculture.com/companies/writer) is one of the exceptions.

Founded in 2020 by May Habib and Waseem AlShikh, Writer raised a $200M Series C in November 2024 at a $1.9B valuation, bringing total funding to $326M. The investor list reads like a Fortune 500 strategy memo: Premji Invest, Radical Ventures, ICONIQ Growth, Adobe Ventures, Salesforce Ventures, IBM Ventures, Workday Ventures, Citi Ventures, B Capital. The company sells to Vanguard, Salesforce, Uber, Mars, Accenture, L'Oreal, Intuit, Qualcomm, Prudential, and Lennar. None of that happens by accident.

But Writer's Glassdoor profile tells a more complicated story. The overall rating sits at 3.5, work-life balance at 2.7, and the most-recent reviews split sharply along functional lines. Engineering teams describe ownership, autonomy, and genuinely hard AI problems. Some post-sales teams describe friction with senior leadership. So which is the real Writer? Both, depending on where you land.

## Writer at a Glance

Founded

2020

Headquarters

San Francisco, CA

Founders

May Habib (CEO) & Waseem AlShikh (CTO)

Company Size

~400 employees

Funding Raised

$326M total

Last Valuation

$1.9B (Series C, Nov 2024)

Glassdoor Rating

3.5 / 5.0 (29 reviews)

Work-Life Balance

2.7 / 5.0

Recommend to Friend

62%

Open Roles (JBC)

54

Culture Values

[Eng-Driven](https://jobsbyculture.com/values/eng-driven), [Ship Fast](https://jobsbyculture.com/values/ship-fast), [Open Source](https://jobsbyculture.com/values/open-source)

Writer sits in a rare category in our [Culture Directory](https://jobsbyculture.com/companies) of 118 companies: a sub-500-person startup that has the technical scope and customer roster of a much larger company. The 62% recommend-to-friend number is honest, not flattering. Writer attracts a specific kind of person, rewards them well, and pushes them hard. That works for some people. It does not work for everyone.

## What Makes Writer Different from Other AI Startups

Walk into the engineering org at most "AI startups" right now and you'll find a backend service that wraps GPT-4 or Claude, some clever prompt templates, a vector database, and a frontend. The product is genuinely useful. The engineering problem, however, is mostly a distributed-systems problem with some ML tooling on top.

Writer is structurally different. Its product is built on **Palmyra**, a family of LLMs the company trains and operates in-house. Palmyra models are tuned specifically for enterprise use cases: regulated industries, structured outputs, brand-compliant tone, citation accuracy, and the kind of long-form drafting that Fortune 500 communications teams actually do. Writer publishes its models on Hugging Face (Palmyra-X, Palmyra-Fin, Palmyra-Med, Palmyra-Vision), which is itself a signal — a wrapper company would have nothing to publish.

For engineers, this matters in three concrete ways:

-   **The job is actually AI engineering.** Roles in applied research, post-training, evaluations, and inference optimization are real LLM jobs — not prompt iteration on someone else's model. If you've been wanting to work on tokenizers, RLHF pipelines, or domain-specific evals without joining a frontier lab, Writer is one of a small number of places where that work happens at the application layer.
-   **The product surface is full-stack.** The platform includes the models, an agentic runtime (AI Studio), an enterprise knowledge graph, RAG infrastructure, a developer SDK, and a user-facing app. Engineers can choose where to sit across that stack — foundation models, retrieval, application, or developer experience.
-   **The customers force technical rigor.** When your buyers are Vanguard, Prudential, and Qualcomm, you cannot ship a hallucinating chatbot and patch it later. The compliance, evaluation, and reliability work is real — closer to fintech engineering than to consumer-AI prototyping.

This is the structural reason engineering reviews skew positive. The work is interesting and the bar is high. For comparison, our [Anthropic](https://jobsbyculture.com/companies/anthropic) and [Cohere](https://jobsbyculture.com/companies/cohere) profiles cover the frontier-lab path; [Glean](https://jobsbyculture.com/companies/glean) and [Harvey](https://jobsbyculture.com/companies/harvey) are the closest analogues for the application-layer path. Writer is closer to the second group, but it owns more of the stack than either of them.

## Glassdoor Ratings Breakdown

Writer's overall 3.5 rating reflects a company that's growing fast and not yet smooth. The split is what's interesting: certain functions and tenures rate the company in the 4.5+ range; others land at 1.0 to 2.0. The aggregate hides more than it reveals.

Overall Rating 3.5

Recommend to Friend 62%

Work-Life Balance 2.7

A 2.7 work-life balance score is one of the lower marks in our [directory](https://jobsbyculture.com/companies). By comparison, [Stripe](https://jobsbyculture.com/companies/stripe) rates 3.6 and [Notion](https://jobsbyculture.com/companies/notion) rates 4.2. The 2.7 is not surprising given the customer profile and the pace of foundation-model training cycles, but it should be a serious input to your decision — not a footnote. If WLB is your top priority in 2026, browse our [best AI companies for work-life balance](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026) ranking instead.

## What Employees Actually Say

We pulled recurring themes from Writer's most recent Glassdoor reviews. The pattern is consistent: engineering reviews are markedly more positive than non-engineering reviews, and the cons cluster around pace and senior management rather than the product or the technology.

### What employees love

Employee Pro "Building real LLMs — not wrapping someone else's API. Genuine AI engineering at the application layer."

Employee Pro "Engineering teams have a strong bias toward ownership. ICs can scope their own work and push back on requirements."

Employee Pro "Remote flexibility is genuine, not performative. Hybrid for those near offices, fully remote for others."

Employee Pro "Visionary leadership with real enterprise traction. The customer roster speaks for itself."

The common thread among positive reviews is autonomy combined with substance. Writer is small enough that an IC can shape an entire workstream and large enough that the customer feedback loop is real. Multiple engineering reviews call out that decisions move quickly — closer to [ship-fast](https://jobsbyculture.com/values/ship-fast) culture than to bureaucratic enterprise software.

### What could be better

Employee Con "Pace is intense. As customer commitments grow, burnout becomes a real risk for ICs and managers alike."

Employee Con "Middle management layers have grown. What used to be flat decision-making is now slower in some orgs."

Employee Con "Senior leadership friction in non-engineering functions. Reviews mention a high-pressure environment in post-sales."

Employee Con "Limited flexibility around personal commitments. The pace doesn't always leave room."

The cons are not subtle. The 2.7 WLB rating is not just noise — it reflects a culture that expects intensity. The friction in some non-engineering functions has shown up in multiple reviews, and prospective employees should weigh which org they'd be joining. The engineering org and the post-sales org appear to be different companies in this respect.

## Compensation & Benefits

Writer pays competitively for the AI startup band, with verified compensation data placing engineers in the $150k–$350k total comp range depending on level. Senior LLM-track and applied-research roles command the upper end of that range, aligned with broader market data for LLM specialists, who typically earn 25–40% above the median tech engineer in 2026.

$326M

Total Funding

$1.9B

Series C Valuation

54

Open Roles on JBC

Equity packages reflect the $1.9B valuation. For early- and mid-career engineers, the upside math is meaningful: a 0.05–0.1% grant against a path toward a substantially higher next round produces a real outcome. For comparison purposes, our [AI Engineer Salary Guide](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026) covers level-by-level benchmarks across the broader AI hiring market, and our [highest-paying AI companies](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026) ranking provides context against frontier labs.

Benefits are competitive for the stage: comprehensive healthcare, generous PTO on paper, and a learning stipend. The caveat sits in reviews: PTO use varies by manager, and a couple of recent reviews mention that "unlimited PTO" doesn't always translate to taking it in practice. That's not unique to Writer — it's the standard hyper-growth-startup pattern — but worth surfacing.

## Engineering Culture & Tech Stack

Writer's engineering org is the heart of the company. The platform has roughly four engineering pillars: foundation models (Palmyra training, post-training, evaluations), agentic runtime (AI Studio, tool calling, orchestration), retrieval and knowledge (the enterprise knowledge graph and RAG layer), and product/SDK (the developer-facing API and the application layer used by enterprise teams).

### Tech Stack

Python PyTorch TypeScript React Kubernetes GPU Infrastructure

### How engineering operates

-   **Strong IC autonomy.** Reviews consistently mention that engineers are trusted to scope their own work and make architectural decisions. The bias is toward shipping, not approval workflows.
-   **Tight coupling to enterprise customers.** Because the customers are Fortune 500, engineers feel the consequences of regressions immediately. This produces both rigor and pressure — some reviewers call this energizing, others draining.
-   **Open-source presence.** Writer publishes Palmyra models on Hugging Face and maintains the open-source Writer Framework, an open-source agentic-app framework. This is a real [open-source](https://jobsbyculture.com/values/open-source) contribution, not a marketing gesture.
-   **Less classical-research culture.** Writer is not a research lab. Applied research is real, but the optimization function is product impact and enterprise reliability, not paper publication. Engineers who want a frontier-lab academic culture should look at [Anthropic](https://jobsbyculture.com/companies/anthropic) or [DeepMind](https://jobsbyculture.com/companies/deepmind) instead.

If you're preparing to interview, browse our [Anthropic interview prep](https://jobsbyculture.com/blog/anthropic-interview-prep-2026) and [Cohere interview prep](https://jobsbyculture.com/blog/cohere-interview-prep-2026) for adjacent guidance — the technical bar at Writer is in roughly the same band, with more emphasis on production engineering and less on research-paper depth.

## Who Thrives at Writer

Based on review patterns and the structure of the company, here's the kind of person who tends to do well:

-   **Engineers who want to work on real LLMs without joining a frontier lab.** If you're tired of being a "GPT wrapper engineer" but don't want to relocate to a research org, Writer is one of a handful of places where in-house model work happens at the application layer.
-   **People who run toward enterprise.** Selling to Vanguard and Prudential is not the same as selling to developers. If you find compliance, evaluation, and reliability work intellectually serious — not boring — you'll find your tribe here. If those topics drain you, look at a developer-tools company like [Vercel](https://jobsbyculture.com/companies/vercel) or [Supabase](https://jobsbyculture.com/companies/supabase) instead.
-   **Self-directed ICs.** Reviews emphasize autonomy. People who need a lot of process or structured mentorship may struggle. People who like to scope, ship, and defend their decisions tend to thrive.
-   **Operators with high pace tolerance.** The 2.7 WLB score is real. If you're in a season of life where you can absorb intensity in exchange for upside, the math works. If not, be honest with yourself.

Writer is _not_ the right fit for people who prioritize [work-life balance](https://jobsbyculture.com/values/wlb) above all else, or for engineers who want a classical-research environment with the freedom to publish on their own timeline. Both are reasonable preferences — just not what this company offers.

## Open Roles at Writer

Writer currently has **52 open positions** live on our platform, spanning engineering, applied AI research, product, design, customer success, and go-to-market roles. Most engineering postings are anchored in San Francisco or New York, with a meaningful number of remote-eligible roles in product engineering and applied AI. Our [Writer culture profile](https://jobsbyculture.com/companies/writer) shows the full breakdown of active roles, and our [engineering-driven companies](https://jobsbyculture.com/values/eng-driven) filter pulls a side-by-side view of peers.

For sales and post-sales candidates, we'd specifically recommend reading the most recent Glassdoor reviews for the function you're considering — the engineering signal is positive enough to act on; the GTM signal is more mixed and worth diligencing in your interviews.

## Frequently Asked Questions About Working at Writer

How many employees does Writer have in 2026?+

Writer has approximately 400 employees as of 2026, headquartered in San Francisco with a major office in New York. The company has grown rapidly since its $200M Series C funding round at a $1.9B valuation in November 2024. For context across other AI companies of similar stage, see our [AI company employee count rankings](https://jobsbyculture.com/blog/ai-company-employee-count-2026).

What are Palmyra LLMs?+

Palmyra is Writer's proprietary family of large language models, built in-house specifically for enterprise use cases. Variants include Palmyra-X (general purpose), Palmyra-Fin (financial domain), Palmyra-Med (healthcare), and Palmyra-Vision (multimodal). Unlike most generative AI companies that wrap third-party APIs from [OpenAI](https://jobsbyculture.com/companies/openai) or [Anthropic](https://jobsbyculture.com/companies/anthropic), Writer trains and operates its own foundation models — making engineering roles at Writer a true AI/ML position, not a prompt-engineering job.

What is Writer's Glassdoor rating in 2026?+

Writer has a 3.5 out of 5.0 Glassdoor rating based on employee reviews. Work-life balance is rated 2.7/5, reflecting the intense pace of a hyper-growth enterprise AI company. Engineering and product teams tend to leave more positive reviews than post-sales teams. See our [full Writer culture profile](https://jobsbyculture.com/companies/writer) for the complete breakdown.

Who are Writer's customers?+

Writer's customer roster includes Salesforce, Uber, Vanguard, Accenture, L'Oreal, Intuit, Mars, Qualcomm, Prudential, Ally Bank, Franklin Templeton, Kenvue, and Lennar. The company sells exclusively to Fortune 500 enterprises rather than developers or SMBs, which shapes both the product roadmap and the day-to-day engineering work.

What is Writer's valuation?+

Writer was valued at $1.9 billion after its $200M Series C round in November 2024, bringing total funding to $326M. Investors include Premji Invest, Radical Ventures, ICONIQ Growth, Adobe Ventures, Salesforce Ventures, B Capital, Citi Ventures, IBM Ventures, and Workday Ventures.

Does Writer hire remote employees?+

Writer offers remote roles for certain positions, with hubs in San Francisco and New York. Multiple Glassdoor reviews describe the remote flexibility as "genuine rather than performative." However, the majority of senior engineering and leadership roles are anchored in the SF or NY offices. Browse our [remote-friendly companies](https://jobsbyculture.com/values/remote) for a curated list of fully-distributed peers.

What is the compensation like at Writer?+

Verified compensation data shows Writer engineers earn roughly $150k to $350k in total compensation depending on level, with strong equity packages reflecting the $1.9B valuation. Senior LLM and applied research roles command premium pay, in line with the broader market for LLM specialists who earn $220k-$350k+ in total comp. See our [AI Engineer Salary Guide by Level](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026) for context.

### See all 52 open Writer roles — with culture context

Browse Writer's open positions alongside jobs from [Anthropic](https://jobsbyculture.com/companies/anthropic), [Cohere](https://jobsbyculture.com/companies/cohere), and other AI companies — with verified culture, comp, and WLB data.

[View Writer Jobs →](https://jobsbyculture.com/jobs?company=writer) [Read Full Profile →](https://jobsbyculture.com/companies/writer)

---

## Document: Zapier Remote Work Policy 2026 — Fully Distributed, Async-First & What It's Really Like

# Zapier Remote Work Policy 2026 — Fully Distributed, Async-First & What It's Really Like

> Zapier has been 100% remote since 2011 with no office, ever. Here

Source: https://jobsbyculture.com/blog/zapier-remote-work-policy-2026
Markdown: https://jobsbyculture.com/blog/zapier-remote-work-policy-2026.md
Last updated: 2026-07-14

---
When people talk about remote work done right, Zapier is usually the first name that comes up — and for good reason. Founded in 2011 by Wade Foster, Bryan Helmig, and Mike Knoop in Columbia, Missouri, Zapier has never had a physical office. Not during Y Combinator. Not after raising at a $5 billion valuation. Not with 800+ employees spread across more than 40 countries. The company wrote the literal book on remote work (a free 200+ page guide that’s been downloaded hundreds of thousands of times) and has been refining distributed operations for over a decade.

But “OG remote company” status doesn’t mean everything is perfect in 2026. Zapier has gone through a 10% layoff, an aggressive pivot toward AI, and the inevitable growing pains of scaling a fully distributed team past the thousand-employee mark. Here’s what the remote work policy actually looks like today, how the async-first culture functions in practice, and what current and former employees say about the experience.

## Zapier Remote Policy at a Glance

Metric

Detail

Official policy

100% remote — no offices, ever

Remote since

2011 (founding day)

Employees

~800–1,400 (sources vary)

Countries

40+

Time tracking

None

Communication style

Async-first, written by default

In-person meetups

Annual company summit + team retreats

Glassdoor rating

4.2 / 5.0 (293 reviews)

Work-life balance

4.2 / 5.0

Compensation & benefits

4.5 / 5.0

15 years

Zapier has operated as a fully distributed company — longer than most startups have existed

## Why Zapier Has Never Had an Office

Zapier’s remote-first identity wasn’t a pandemic pivot or a recruiting tactic. It was an accident of circumstance that became a core conviction. The three co-founders started building their MVP at Startup Weekend Columbia in 2011, won that weekend, and kept building the product while holding down full-time day jobs. They didn’t have the money for an office — and after Y Combinator, they realized they didn’t need one.

Wade Foster has said publicly that after YC, each founder wanted to live in a different place. The first few hires were already working remotely. Rather than fight that gravity, they leaned into it. By the time Zapier had enough revenue to afford a fancy HQ, the remote muscle was too strong to abandon. The company was profitable, growing, and had proven that async-first distributed work could scale.

This origin matters because it explains why Zapier’s remote culture feels different from companies that went remote in 2020. There’s no “we used to be in-person and here’s how we adapted” residue. Every process, every tool, every cultural norm was designed for distributed work from scratch.

## How Async-First Communication Actually Works

The phrase “async-first” gets thrown around loosely in remote work circles. At Zapier, it has a specific, operational meaning: **the default mode of communication is written and asynchronous. Real-time interaction is the exception, not the norm.**

Zapier’s CTO has stated it plainly: to successfully run a distributed team, “all communication should be effective asynchronous,” which means everything should be documented. Here’s how that plays out in practice:

### The Three-Tool Communication Stack

-   **Slack** — Functions as Zapier’s virtual headquarters. Nearly all channels are public, creating a searchable archive of decisions, context, and institutional knowledge. New hires can read through years of conversation threads to understand how and why decisions were made.
-   **Async (internal tool)** — A purpose-built internal blog where team members post structured updates, share context, and gather feedback without requiring anyone to be online at the same time. Think of it as a slower, more deliberate version of Slack — reducing the firehose effect that real-time chat creates.
-   **Quip** — Internal documentation and collaborative writing. Specs, proposals, retrospectives, and process docs all live here.

### The Bandwidth Spectrum

Zapier thinks about communication along a “bandwidth” spectrum. Text-based async sits at one end. Video calls sit in the middle. In-person time at summits and retreats sits at the other end. The principle is simple: start at the lowest bandwidth that gets the job done, and only “raise bandwidth” when the complexity of the problem demands it.

In practice, this means most work happens through written updates and document comments. When something gets gnarly — a design review with high ambiguity, a conflict between teams, a strategic decision with multiple valid options — people jump on a video call. But the call is the escalation, not the default. This is a meaningful distinction from companies where “async” means “we also use Slack sometimes.”

Pro — Employee review “You don’t feel pressure to prove you’re working or work outside of working hours. There aren’t tons of meetings every day. The async communication style actually works.”

## Global Mobility & Work-From-Anywhere

Zapier goes further than most remote companies on location flexibility. Beyond hiring in 40+ countries, the company has a dedicated global mobility policy that supports both short-term and long-term relocations. If you want to spend three months in Lisbon, then move to Tokyo, Zapier has a framework for that — covering tax implications, visa considerations, and compliance requirements.

There are practical limits, of course. Zapier can only hire in countries where they have a legal entity or use an Employer of Record service. Compensation is location-adjusted, not flat-rate global — so your salary may change if you relocate from San Francisco to Bali. But the underlying philosophy is clear: the company optimizes for letting people live where they want, not where a lease agreement dictates.

## Compensation & Benefits for a Fully Remote Team

Zapier’s compensation model is noteworthy for a private company at this stage. Employee-reported satisfaction with pay is high — 4.5/5 on Glassdoor, with 88% of employees saying they feel fairly compensated. Here’s what the package includes:

-   **Competitive base salary** — Location-adjusted, benchmarked against market data. Not the highest in tech, but solid for a profitable company that isn’t burning VC cash.
-   **Profit sharing** — Available to 100% of employees. Because Zapier is profitable (over $300M in annual revenue), this isn’t a theoretical future payout — it’s real money distributed regularly.
-   **Equity for All** — Stock option grants for employees in most countries. With a $5B valuation and sustained profitability, these carry real weight.
-   **4% 401k match** — Available for US, UK, and Canadian employees.
-   **14 weeks paid parental leave** — For both biological and adopted children.
-   **Live Well Budget** — An annual stipend for physical, mental, and emotional wellness.
-   **Work Well Budget** — A separate annual stipend for home office setup, equipment, and productivity tools.
-   **Unlimited PTO** — The company reports that most employees take around 25 days per year, which is a healthy signal that the policy isn’t just performative.

88%

Of Zapier employees say they feel fairly compensated, per employee reviews

## What Employees Actually Say in 2026

Zapier’s 4.2/5 Glassdoor rating across 293 reviews tells a more nuanced story than the “best remote company ever” narrative you’ll find in listicles. The remote infrastructure is genuinely excellent, but the company is navigating real growing pains.

Pro — Employee review “100% remote team helps make a great team and culture. Transparency, collaboration, and innovation are real values here, not just posters on a wall that doesn’t exist.”

Pro — Employee review “Leadership is engaged with every aspect of the business and regularly involved in conversations at all levels. Compensation includes good base pay, profit sharing, equity, and great perks.”

Con — Employee review “Workplace culture has shifted as the company grew. More meetings, more goal-setting discussions, less of the scrappy startup energy that made this place special.”

Con — Employee review “Support roles require knowledge of 6,000+ apps but salary doesn’t reflect the breadth of expertise required. The gap between engineering comp and support comp is significant.”

The pattern is clear: remote work mechanics are strong, compensation for technical roles is solid, but the company is experiencing the tension that every fast-growing distributed team eventually faces. More people means more coordination overhead, which means more meetings — even at a company that philosophically opposes them. And the 2023 layoff (roughly 10% of staff, driven partly by a strategic pivot toward AI) left scars that some employees reference in recent reviews.

## The AI Pivot & What It Means for Remote Culture

In 2023, Zapier cut about 10% of its workforce and publicly signaled a hard pivot toward AI-driven automation. CEO Wade Foster has been vocal: “100% of new hires must be fluent in AI.” The company considers it unacceptable for employees to dismiss AI tools as “too risky” and expects workers to build their own AI systems that transform how their jobs are done.

This is relevant to the remote work story because it signals a cultural shift. The scrappy, documentation-heavy, trust-based remote culture that defined Zapier’s first decade is now layered with a more aggressive, output-focused mandate. For remote workers who thrive on autonomy and self-direction, this could be energizing. For those who valued the gentler pace of a profitable, non-hyper-growth company, it’s a different vibe.

Whether this pivot strengthens or strains the remote culture remains to be seen. AI tools can amplify async work (better summarization, faster documentation, smarter search across company knowledge). But the pressure to ship AI features fast can also lead to more synchronous crunch — the kind of intensity that erodes the work-life balance remote workers specifically chose Zapier to protect.

## Zapier vs. Other Fully Remote Companies

Zapier is far from the only company that’s been remote since day one. Here’s how it compares to other established distributed teams:

Company

Remote Since

Async Culture

Glassdoor

WLB

Zapier

2011

Async-first, written default

4.2

4.2

[Grafana Labs](https://jobsbyculture.com/companies/grafanalabs)

2014

Async-friendly, 40+ countries

4.1

4.3

[PostHog](https://jobsbyculture.com/companies/posthog)

2020

Async-first, handbook-driven

4.3

4.5

[Supabase](https://jobsbyculture.com/companies/supabase)

2020

Fully async, same pay worldwide

4.8

3.0

[Tailscale](https://jobsbyculture.com/companies/tailscale)

2019

Remote-first, deep-work focused

4.4

4.5

[dbt Labs](https://jobsbyculture.com/companies/dbt)

2016

Remote-first, strong docs culture

3.7

3.8

Zapier’s main advantage is longevity. Fifteen years of remote operations means deeply embedded async habits, battle-tested tooling, and a workforce that self-selects for distributed work. The companies with higher Glassdoor scores (PostHog, Supabase, Tailscale) are also significantly smaller — it’s easier to maintain cultural cohesion at 100 people than at 1,000.

### The Bottom Line

Zapier is the real deal when it comes to remote work. This isn’t a company that slapped “remote-friendly” on a job listing during COVID — it’s an organization that has been refining distributed operations since before most people had heard of Slack. The async-first culture, global mobility policy, profit sharing, and genuine flexibility make it one of the strongest remote employers in tech. The caveats are real but manageable: growing pains at scale, an aggressive AI pivot that’s changing the cultural tone, and location-adjusted pay. If you want a remote role at a profitable, established company with a 15-year track record of making distributed work actually work, Zapier belongs at the top of your list.

## Finding Remote Roles Like Zapier’s

Zapier’s careers page lists all current openings — every single one is remote. If you’re looking for similar fully distributed, async-first companies that are actively hiring, browse our curated list of [remote-friendly companies](https://jobsbyculture.com/jobs?value=remote) or read our deep dive on [remote-friendly AI companies hiring in 2026](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026).

For companies that specifically prioritize async communication and deep work — the culture Zapier pioneered — filter by [async culture](https://jobsbyculture.com/values/async) or [deep work](https://jobsbyculture.com/values/deep-work) values on our jobs board.

## Frequently Asked Questions

Is Zapier fully remote?+

Yes. Zapier is one of the most established fully remote companies in tech. The company has been 100% distributed since its founding in 2011 and has never had a physical office. As of 2026, Zapier has roughly 800+ employees spread across 40+ countries. Every role at Zapier is remote — there is no office to go to even if you wanted to.

What is Zapier’s remote work policy in 2026?+

Zapier’s remote work policy is simple: every role is fully remote, no exceptions. The company operates across 40+ countries with an async-first communication culture. There are no mandatory office days, no required hours, and no time tracking. Zapier also has a global mobility policy that supports employees who want to relocate or travel while working.

How does Zapier handle async communication?+

Zapier uses a three-tool async communication stack: Slack as the virtual headquarters (with nearly all channels public), an internal tool called “Async” for structured updates and context-sharing, and Quip for documentation. The default is written, asynchronous communication. Video calls are used sparingly and only when “raising bandwidth” is necessary for complex discussions.

Can you work from anywhere at Zapier?+

Mostly, yes. Zapier hires across 40+ countries and has a dedicated global mobility policy that supports both short-term and long-term relocations. However, there are some country restrictions based on legal and tax entity requirements. Zapier’s compensation is competitive but may be adjusted based on location. Check their careers page for current eligible countries.

What do employees say about working remotely at Zapier?+

Zapier has a 4.2/5.0 rating based on 293 employee reviews. Employees praise the genuine flexibility — no pressure to prove you’re working, minimal meetings, and strong async culture. Common pros include autonomy, profit sharing, and the Live Well/Work Well budgets. Common cons include communication challenges across time zones, a cultural shift as the company has grown, and some support roles being under-compensated relative to the breadth of product knowledge required.

Does Zapier pay the same regardless of location?+

No. Zapier uses a location-adjusted compensation model, meaning salaries may vary based on where you live. However, compensation is generally considered competitive, and the company supplements base salary with profit sharing, equity through their “Equity for All” stock option program, and generous benefits including a 4% 401k match for US, UK, and Canadian employees. 88% of employees report feeling fairly compensated.

How big is Zapier in 2026?+

As of early 2026, Zapier has approximately 800–1,400 employees (sources vary by reporting date) distributed across 40+ countries. The company is valued at $5 billion, is profitable, and generates over $300 million in annual revenue. Engineering is the largest team with 300+ people. Zapier connects 8,500+ apps and serves over 3 million users.

### Find Remote-First Companies Hiring Now

Browse thousands of roles at companies with genuinely distributed, async-first cultures.

[Browse Remote Jobs →](https://jobsbyculture.com/jobs?value=remote) [Remote AI Companies Guide →](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026)

---

## Document: AI & Tech Company Culture Directory | JobsByCulture

# AI & Tech Company Culture Directory | JobsByCulture

> Browse 118 AI and tech company culture profiles with employee ratings, workplace values, candid pros and cons, and current open jobs.

Source: https://jobsbyculture.com/companies
Markdown: https://jobsbyculture.com/companies.md
Last updated: 2026-07-14

---
118 companies profiled

# Company Culture _Directory_

Every company we've profiled, with Glassdoor ratings, culture values, employee feedback, and open roles. Find the culture that fits how you work.

![Anthropic logo](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

## [Anthropic](https://jobsbyculture.com/companies/anthropic)

**The consensus on Anthropic:** Choose Anthropic if you want genuine AI safety mission, elite comp, and high autonomy — but expect intense hours.

Glassdoor: 4.4

WLB: 3.7

Culture & Values: 4.5

Comp & Benefits: 4.8

95% Recommend 93% CEO Approval (Dario Amodei)

Values

Ethical AI / Safety, Learning & Growth, Strong Comp & Equity, Mission-Driven, Engineering-Driven, Flat Hierarchy

#### Pros

-   ✓Mission-driven to the core — the safety focus is genuine and deeply embedded
-   ✓Incredible autonomy and ownership, even for mid-level engineers

#### Cons

-   ✗High-intensity environment — extended work hours are common during peak periods
-   ✗Processes still catching up to hypergrowth; some things feel ad-hoc

[Full Profile →](https://jobsbyculture.com/companies/anthropic) [View Jobs →](https://jobsbyculture.com/jobs?company=anthropic) [Compare →](https://jobsbyculture.com/compare?a=anthropic)

![Hugging Face logo](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

## [Hugging Face](https://jobsbyculture.com/companies/huggingface)

**The consensus on Hugging Face:** Choose Hugging Face if you want to build tools millions of ML devs use with true remote freedom — but comp lags FAANG.

Glassdoor: 3.8

WLB: 4.1

Culture & Values: 4.2

Comp & Benefits: 3.4

78% Recommend 85% CEO Approval (Clement Delangue)

Values

Open Source, Flat Hierarchy, Remote-Friendly, Flexible Hours, Transparent, Wears Many Hats, Async-First

#### Pros

-   ✓True open-source DNA — you work on things millions of developers actually use
-   ✓Remote-first and async culture that actually works across time zones

#### Cons

-   ✗Below-market comp compared to FAANG
-   ✗Career progression is unclear — no well-defined ladder

[Full Profile →](https://jobsbyculture.com/companies/huggingface) [View Jobs →](https://jobsbyculture.com/jobs?company=huggingface) [Compare →](https://jobsbyculture.com/compare?a=huggingface)

![Databricks logo](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

## [Databricks](https://jobsbyculture.com/companies/databricks)

**The consensus on Databricks:** Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.

Glassdoor: 4.1

WLB: 3.9

Culture & Values: 4.0

Comp & Benefits: 4.3

82% Recommend 88% CEO Approval (Ali Ghodsi)

Values

Engineering-Driven, Learning & Growth, Strong Comp & Equity, Diverse & Inclusive, Direct Product Impact

#### Pros

-   ✓Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree
-   ✓Strong compensation and equity packages consistently above market

#### Cons

-   ✗Hypergrowth means org changes are constant — teams restructure frequently
-   ✗Some legacy Spark-era tech debt that can slow down new features

[Full Profile →](https://jobsbyculture.com/companies/databricks) [View Jobs →](https://jobsbyculture.com/jobs?company=databricks) [Compare →](https://jobsbyculture.com/compare?a=databricks)

![Cohere logo](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

## [Cohere](https://jobsbyculture.com/companies/cohere)

**The consensus on Cohere:** Choose Cohere if you want Transformer co-author pedigree and enterprise AI focus — but expect turbulence and lower ratings.

Glassdoor: 2.9

WLB: 3.5

Culture & Values: 3.0

Comp & Benefits: 3.2

48% Recommend 55% CEO Approval (Aidan Gomez)

Values

Learning & Growth, Engineering-Driven, Wears Many Hats

#### Pros

-   ✓Cutting-edge NLP research from Transformer co-author
-   ✓Enterprise AI focus gives real customer impact

#### Cons

-   ✗Frequent organizational restructuring has led to notable team turnover
-   ✗Internal communication from leadership could be more transparent

[Full Profile →](https://jobsbyculture.com/companies/cohere) [View Jobs →](https://jobsbyculture.com/jobs?company=cohere) [Compare →](https://jobsbyculture.com/compare?a=cohere)

![Mistral AI logo](https://www.google.com/s2/favicons?domain=mistral.ai&sz=128)

## [Mistral AI](https://jobsbyculture.com/companies/mistral)

**The consensus on Mistral AI:** Choose Mistral if you want small-team impact at Europe's top AI lab — but expect minimal process and Paris-first culture.

Glassdoor: 4.0

WLB: 3.6

Culture & Values: 4.2

Comp & Benefits: 4.0

80% Recommend 85% CEO Approval (Arthur Mensch)

Values

Ship Fast & Iterate, Engineering-Driven, Flat Hierarchy, Wears Many Hats, Open Source

#### Pros

-   ✓Small team punching way above weight — Mixtral, Mistral Large
-   ✓European AI champion with strong research DNA

#### Cons

-   ✗Very early-stage — processes are minimal
-   ✗Paris-centric with limited remote options

[Full Profile →](https://jobsbyculture.com/companies/mistral) [View Jobs →](https://jobsbyculture.com/jobs?company=mistral) [Compare →](https://jobsbyculture.com/compare?a=mistral)

![HubSpot logo](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

## [HubSpot](https://jobsbyculture.com/companies/hubspot)

**The consensus on HubSpot:** Choose HubSpot if you want legendary culture with real flexibility and psychological safety — but comp is below FAANG.

Glassdoor: 4.3

WLB: 4.1

Culture & Values: 4.5

Comp & Benefits: 3.9

87% Recommend 92% CEO Approval (Yamini Rangan)

Values

Diverse & Inclusive, Learning & Growth, Work-Life Balance, Transparent, Flexible Hours, Safe to Fail

#### Pros

-   ✓Culture Code is legendary — transparency, autonomy, flexibility are real
-   ✓Remote-first done right with genuine work-life balance

#### Cons

-   ✗Enterprise sales culture can clash with engineering
-   ✗Comp below FAANG for senior roles

[Full Profile →](https://jobsbyculture.com/companies/hubspot) [View Jobs →](https://jobsbyculture.com/jobs?company=hubspot) [Compare →](https://jobsbyculture.com/compare?a=hubspot)

![Vercel logo](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

## [Vercel](https://jobsbyculture.com/companies/vercel)

**The consensus on Vercel:** Choose Vercel if you want to build Next.js and edge runtime — but the pace is relentless and standards are sky-high.

Glassdoor: 3.9

WLB: 3.4

Culture & Values: 3.8

Comp & Benefits: 4.0

72% Recommend 78% CEO Approval (Guillermo Rauch)

Values

Ship Fast & Iterate, Engineering-Driven, Remote-Friendly, Direct Product Impact, Open Source

#### Pros

-   ✓Building the future of web infrastructure — Next.js, Turbopack, edge runtime
-   ✓Remote-first with strong async culture — true flexibility

#### Cons

-   ✗High expectations and fast pace can lead to burnout
-   ✗Leadership sets very high standards — the pace isn't for everyone

[Full Profile →](https://jobsbyculture.com/companies/vercel) [View Jobs →](https://jobsbyculture.com/jobs?company=vercel) [Compare →](https://jobsbyculture.com/compare?a=vercel)

![Stripe logo](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

## [Stripe](https://jobsbyculture.com/companies/stripe)

**The consensus on Stripe:** Choose Stripe if you want elite engineering culture with top comp — but perfectionism can slow shipping velocity.

Glassdoor: 4.0

WLB: 3.6

Culture & Values: 4.1

Comp & Benefits: 4.5

80% Recommend 82% CEO Approval (Patrick Collison)

Values

Engineering-Driven, Learning & Growth, Strong Comp & Equity, Direct Product Impact, Transparent

#### Pros

-   ✓Engineering culture is elite — code quality and writing culture are best-in-class
-   ✓Top compensation in fintech — competitive base, equity, and benefits

#### Cons

-   ✗Perfectionism can slow shipping — high bar sometimes means slower velocity
-   ✗The 2022-23 layoffs affected morale — company has been rebuilding confidence

[Full Profile →](https://jobsbyculture.com/companies/stripe) [View Jobs →](https://jobsbyculture.com/jobs?company=stripe) [Compare →](https://jobsbyculture.com/compare?a=stripe)

![Perplexity AI logo](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

## [Perplexity AI](https://jobsbyculture.com/companies/perplexity)

**The consensus on Perplexity AI:** Choose Perplexity if you want the fastest-growing AI product and huge per-engineer impact — but expect startup intensity.

Glassdoor: 4.7

WLB: 3.3

Culture & Values: 4.8

Comp & Benefits: 4.5

92% Recommend 95% CEO Approval (Aravind Srinivas)

Values

Ship Fast & Iterate, Engineering-Driven, Direct Product Impact, Strong Comp & Equity, Learning & Growth

#### Pros

-   ✓Fastest-growing AI product — real users, real revenue, genuine product-market fit
-   ✓Small team, massive impact per engineer — your work ships to millions quickly

#### Cons

-   ✗Startup intensity — expect long hours and high expectations
-   ✗Growing pains as the team scales — roles and responsibilities shift frequently

[Full Profile →](https://jobsbyculture.com/companies/perplexity) [View Jobs →](https://jobsbyculture.com/jobs?company=perplexity) [Compare →](https://jobsbyculture.com/compare?a=perplexity)

![Together AI logo](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

## [Together AI](https://jobsbyculture.com/companies/together)

**The consensus on Together AI:** Choose Together AI if you want real open-source mission with outsized research output — but expect to wear many hats.

Glassdoor: 4.1

WLB: 3.8

Culture & Values: 4.3

Comp & Benefits: 4.0

82% Recommend 85% CEO Approval (Vipul Ved Prakash)

Values

Open Source, Engineering-Driven, Learning & Growth, Flat Hierarchy, Wears Many Hats

#### Pros

-   ✓Open-source AI infrastructure — real mission alignment, not just marketing
-   ✓Small team with outsized research output; your work has direct impact

#### Cons

-   ✗Early-stage means wearing many hats constantly — not for specialists
-   ✗Limited career ladder; growth paths are still being defined

[Full Profile →](https://jobsbyculture.com/companies/together) [View Jobs →](https://jobsbyculture.com/jobs?company=together) [Compare →](https://jobsbyculture.com/compare?a=together)

![Cursor logo](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

## [Cursor (Anysphere)](https://jobsbyculture.com/companies/cursor)

**The consensus on Cursor:** Choose Cursor if you want to shape the future of AI-assisted coding on a tiny team — but the pace is relentless.

Glassdoor: 4.0

WLB: 3.5

Culture & Values: 4.0

Comp & Benefits: 4.2

85% Recommend 90% CEO Approval (Michael Truell)

Values

Ship Fast & Iterate, Engineering-Driven, Direct Product Impact, Flat Hierarchy, Wears Many Hats

#### Pros

-   ✓Building the most-loved AI code editor — massive developer love and daily impact
-   ✓Tiny team, extreme ownership — every person shapes the product directly

#### Cons

-   ✗Extremely small team = no specialists; everyone does everything
-   ✗Intense pace — the speed of shipping can be relentless

[Full Profile →](https://jobsbyculture.com/companies/cursor) [View Jobs →](https://jobsbyculture.com/jobs?company=cursor) [Compare →](https://jobsbyculture.com/compare?a=cursor)

![Linear logo](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

## [Linear](https://jobsbyculture.com/companies/linear)

**The consensus on Linear:** Choose Linear if you want obsessive product craft with genuine work-life balance — but the team is tiny and hiring bar is extreme.

Glassdoor: 4.6

WLB: 4.4

Culture & Values: 4.8

Comp & Benefits: 4.3

95% Recommend 95% CEO Approval (Karri Saarinen)

Values

Deep Work / Low Meetings, Remote-Friendly, Async-First, Engineering-Driven, Direct Product Impact, Work-Life Balance

#### Pros

-   ✓Obsessive product craft — building the best-in-class PM tool teams genuinely love
-   ✓Deep work culture with no standups and minimal meetings — actually practiced

#### Cons

-   ✗Very small team = limited roles available at any given time
-   ✗High hiring bar means slow growth — patience required

[Full Profile →](https://jobsbyculture.com/companies/linear) [View Jobs →](https://jobsbyculture.com/jobs?company=linear) [Compare →](https://jobsbyculture.com/compare?a=linear)

![Scale AI logo](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

## [Scale AI](https://jobsbyculture.com/companies/scale)

**The consensus on Scale AI:** Choose Scale AI if you want to build data infrastructure for OpenAI and the US government — but expect long hours and inconsistent management.

Glassdoor: 3.5

WLB: 2.7

Culture & Values: 2.9

Comp & Benefits: 3.5

56% Recommend 60% CEO Approval (Alexandr Wang)

Values

Engineering-Driven, Direct Product Impact, Learning & Growth, Ship Fast & Iterate

#### Pros

-   ✓Building critical AI data infrastructure used by OpenAI, Meta, Microsoft, and the US government
-   ✓Strong compensation for engineers — competitive base + equity

#### Cons

-   ✗Work-life balance rated 2.7/5 — long hours common during client deadlines
-   ✗Culture and values scored 2.9/5 — inconsistent management quality

[Full Profile →](https://jobsbyculture.com/companies/scale) [View Jobs →](https://jobsbyculture.com/jobs?company=scale) [Compare →](https://jobsbyculture.com/compare?a=scale)

![CoreWeave logo](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

## [CoreWeave](https://jobsbyculture.com/companies/coreweave)

**The consensus on CoreWeave:** Choose CoreWeave if you want NVIDIA-backed GPU cloud with equity upside — but culture and processes are still maturing.

Glassdoor: 3.6

WLB: 3.2

Culture & Values: 3.1

Comp & Benefits: 3.8

62% Recommend 65% CEO Approval (Michael Intrator)

Values

Engineering-Driven, Ship Fast & Iterate, Strong Comp & Equity, Wears Many Hats

#### Pros

-   ✓GPU cloud infrastructure leader backed by NVIDIA ($2B investment)
-   ✓Strong compensation and equity — especially valuable post-IPO

#### Cons

-   ✗Work-life balance can be challenging — some teams expect off-hours availability
-   ✗Culture and values rated 3.1/5 — processes still maturing

[Full Profile →](https://jobsbyculture.com/companies/coreweave) [View Jobs →](https://jobsbyculture.com/jobs?company=coreweave) [Compare →](https://jobsbyculture.com/compare?a=coreweave)

![Runway logo](https://www.google.com/s2/favicons?domain=runwayml.com&sz=128)

## [Runway](https://jobsbyculture.com/companies/runway)

**The consensus on Runway:** Choose Runway if you want to build Gen-3 Alpha at the art-meets-AI frontier — but the space is getting competitive.

Glassdoor: 4.5

WLB: 4.0

Culture & Values: 4.6

Comp & Benefits: 4.3

90% Recommend 90% CEO Approval (Cristóbal Valenzuela)

Values

Engineering-Driven, Direct Product Impact, Remote-Friendly, Learning & Growth, Ship Fast & Iterate

#### Pros

-   ✓Pioneer in AI video generation — Gen-3 Alpha is industry-leading
-   ✓Unique blend of art and engineering — creative culture values both

#### Cons

-   ✗Smaller team (~420) means limited specialization — engineers wear multiple hats
-   ✗AI video generation is an increasingly competitive space

[Full Profile →](https://jobsbyculture.com/companies/runway) [View Jobs →](https://jobsbyculture.com/jobs?company=runway) [Compare →](https://jobsbyculture.com/compare?a=runway)

![Vast AI logo](https://www.google.com/s2/favicons?domain=vast.ai&sz=128)

## [Vast AI](https://jobsbyculture.com/companies/vast)

**The consensus on Vast AI:** Choose Vast AI if you want perfect Glassdoor scores and generous equity at a tiny GPU marketplace — but expect startup chaos.

Glassdoor: 5.0

WLB: 4.5

Culture & Values: 5.0

Comp & Benefits: 5.0

100% Recommend 100% CEO Approval (Jake Cannell)

Values

Engineering-Driven, Ship Fast & Iterate, Flat Hierarchy, Wears Many Hats, Strong Comp & Equity

#### Pros

-   ✓Front-row seat to the AI compute revolution — demand for GPU cloud is surging
-   ✓Strong compensation and generous equity stakes for a bootstrapped startup

#### Cons

-   ✗Processes are still being defined — expect ad hoc workflows
-   ✗Intense workload — the team explicitly values high output

[Full Profile →](https://jobsbyculture.com/companies/vast) [View Jobs →](https://jobsbyculture.com/jobs?company=vast) [Compare →](https://jobsbyculture.com/compare?a=vast)

![Modal logo](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

## [Modal](https://jobsbyculture.com/companies/modal)

**The consensus on Modal:** Choose Modal if you want to build foundational AI infrastructure at a technically elite unicorn — but be ready for a demanding culture that is still finding its footing.

Glassdoor: 3.4

WLB: 3.2

Culture & Values: 3.1

Comp & Benefits: 3.3

43% Recommend CEO: Erik Bernhardsson

Values

Technically Elite, Engineering-Driven, High Ownership, From Scratch, Serverless GPU Cloud

#### Pros

-   ✓Exceptional peers from competitive programming and top ML labs
-   ✓Strong equity upside at $1.1B+ valuation with $2.5B raise in discussion

#### Cons

-   ✗Culture still maturing — management rated 3.0/5 on Glassdoor
-   ✗High pressure environment — only 43% recommend to a friend

[Full Profile →](https://jobsbyculture.com/companies/modal) [View Jobs →](https://jobsbyculture.com/jobs?company=modal) [Compare →](https://jobsbyculture.com/compare?a=modal)

![Apollo.io logo](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

## [Apollo.io](https://jobsbyculture.com/companies/apollo)

**The consensus on Apollo.io:** Choose Apollo.io if you want best-in-class sales intelligence with competitive comp — but leadership can be hands-on.

Glassdoor: 4.0

WLB: 3.6

Culture & Values: 4.0

Comp & Benefits: 4.1

77% Recommend 81% CEO Approval (Matt Curl)

Values

Ship Fast & Iterate, Engineering-Driven, Remote-Friendly, Direct Product Impact, Learning & Growth

#### Pros

-   ✓Strong product-market fit — best-in-class sales intelligence platform
-   ✓Competitive compensation with RSUs, performance bonuses, and paid health insurance

#### Cons

-   ✗Some reports of leadership involvement in granular decisions and frequent pivots
-   ✗Work-life balance challenges under high-growth pressure

[Full Profile →](https://jobsbyculture.com/companies/apollo) [View Jobs →](https://jobsbyculture.com/jobs?company=apollo) [Compare →](https://jobsbyculture.com/compare?a=apollo)

![Airbnb logo](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

## [Airbnb](https://jobsbyculture.com/companies/airbnb)

**The consensus on Airbnb:** Choose Airbnb if you want genuine remote flexibility and travel perks — but promotions are slow and bureaucracy is growing.

Glassdoor: 4.1

WLB: 4.0

Culture & Values: 4.2

Comp & Benefits: 4.2

80% Recommend 87% CEO Approval (Brian Chesky)

Values

Remote-Friendly, Work-Life Balance, Diverse & Inclusive, Open Source, Strong Comp & Equity

#### Pros

-   ✓Live and Work Anywhere policy — genuine remote flexibility with no pay cuts
-   ✓Strong compensation and benefits with quarterly travel credits and educational stipends

#### Cons

-   ✗Limited career growth — senior roles often filled externally, promotions are slow
-   ✗Post-IPO cultural shift — increasing bureaucracy and internal politics at mid-to-senior levels

[Full Profile →](https://jobsbyculture.com/companies/airbnb) [View Jobs →](https://jobsbyculture.com/jobs?company=airbnb) [Compare →](https://jobsbyculture.com/compare?a=airbnb)

![Figma logo](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

## [Figma](https://jobsbyculture.com/companies/figma)

**The consensus on Figma:** Choose Figma if you want WebAssembly-level challenges on a product people love — but expect 60+ hour weeks during crunch.

Glassdoor: 3.7

WLB: 3.1

Culture & Values: 4.0

Comp & Benefits: 4.0

73% Recommend 95% CEO Approval (Dylan Field)

Values

Engineering-Driven, Ship Fast & Iterate, Learning & Growth, Direct Product Impact, Deep Work / Low Meetings

#### Pros

-   ✓World-class talent and technically ambitious problems — real-time multiplayer, WebAssembly rendering
-   ✓Strong product mission that employees genuinely believe in — Figma is loved by its users

#### Cons

-   ✗Work-life balance rated 3.1/5 — 60+ hour weeks common, especially near deadlines
-   ✗Hypergrowth growing pains — product suite doubled without proportional hiring

[Full Profile →](https://jobsbyculture.com/companies/figma) [View Jobs →](https://jobsbyculture.com/jobs?company=figma) [Compare →](https://jobsbyculture.com/compare?a=figma)

![ElevenLabs logo](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

## [ElevenLabs](https://jobsbyculture.com/companies/elevenlabs)

**The consensus on ElevenLabs:** Choose ElevenLabs if you want cutting-edge AI voice technology with exceptional peers — but expect intense hours and a demanding pace.

Glassdoor: 4.2

WLB: 3.6

Culture & Values: 4.0

Comp & Benefits: 4.0

73% Recommend CEO: Mati Staniszewski

Values

Ship Fast, Remote-First, Engineering-Driven, Direct Product Impact, Learning & Growth, Ethical AI

#### Pros

-   ✓Cutting-edge AI voice technology — one of the most advanced products in the space
-   ✓Exceptional talent density and remote-first culture spanning 30+ countries

#### Cons

-   ✗Work-life balance is poor — 60+ hour weeks are the norm
-   ✗Leadership maturity concerns — little margin for error

[Full Profile →](https://jobsbyculture.com/companies/elevenlabs) [View Jobs →](https://jobsbyculture.com/jobs?company=elevenlabs) [Compare →](https://jobsbyculture.com/compare?a=elevenlabs)

![Pinecone logo](https://www.google.com/s2/favicons?domain=pinecone.io&sz=128)

## [Pinecone](https://jobsbyculture.com/companies/pinecone)

**The consensus on Pinecone:** Choose Pinecone if you want exceptional colleagues and a strong remote culture in the vector DB space — but be aware of past layoffs and below-market salary.

Glassdoor: 4.2

WLB: 4.3

Culture & Values: 4.0

Comp & Benefits: 3.8

76% Recommend CEO: Edo Liberty

Values

Remote-Friendly, Flexible Hours, Diverse & Inclusive, Learning & Growth, Product Impact, Engineering-Driven

#### Pros

-   ✓Exceptional colleagues — warm, welcoming, and technically among the best
-   ✓Fully remote with strong culture, autonomy, and growth opportunities

#### Cons

-   ✗Significant layoffs in 2024 (30% of staff) eroded trust
-   ✗Below-market base salary even with equity compensation

[Full Profile →](https://jobsbyculture.com/companies/pinecone) [View Jobs →](https://jobsbyculture.com/jobs?company=pinecone) [Compare →](https://jobsbyculture.com/compare?a=pinecone)

![Ramp logo](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

## [Ramp](https://jobsbyculture.com/companies/ramp)

**The consensus on Ramp:** Choose Ramp if you want top-tier compensation and a product-driven fintech culture — but expect intense hours and an increasingly in-office environment.

Glassdoor: 4.2

WLB: 3.5

Culture & Values: 4.3

Comp & Benefits: 4.6

80% Recommend 95% CEO Approval (Eric Glyman)

Values

Ship Fast, Product Impact, Engineering-Driven, Transparency, Strong Comp & Equity, Learning & Growth

#### Pros

-   ✓Exceptional talent and product-driven culture — engineers rate 4.7/5
-   ✓Outstanding compensation and benefits — 16 weeks maternity, IVF coverage

#### Cons

-   ✗Intense work demands — 60+ hour weeks and 10-12 hour days common
-   ✗Shifting to in-office — new hires expected 3+ days/week

[Full Profile →](https://jobsbyculture.com/companies/ramp) [View Jobs →](https://jobsbyculture.com/jobs?company=ramp) [Compare →](https://jobsbyculture.com/compare?a=ramp)

![Weaviate logo](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

## [Weaviate](https://jobsbyculture.com/companies/weaviate)

**The consensus on Weaviate:** Choose Weaviate if you want an excellent remote-first culture with a flat, ego-free team — but be prepared for timezone challenges and startup flux.

Glassdoor: 4.3

WLB: 4.2

Culture & Values: 4.5

Comp & Benefits: 4.2

81% Recommend CEO: Bob van Luijt

Values

Remote-First, Async Communication, Flat Structure, Open Source, Work-Life Balance, Diverse & Inclusive

#### Pros

-   ✓Excellent remote-first culture with async workflows and timezone respect
-   ✓Flat, ego-free culture — your voice is heard from day 1

#### Cons

-   ✗Timezone challenges inherent to a fully distributed global team
-   ✗Startup growing pains — processes still being established

[Full Profile →](https://jobsbyculture.com/companies/weaviate) [View Jobs →](https://jobsbyculture.com/jobs?company=weaviate) [Compare →](https://jobsbyculture.com/compare?a=weaviate)

![OpenAI logo](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

## [OpenAI](https://jobsbyculture.com/companies/openai)

**The consensus on OpenAI:** Choose OpenAI if you want to work at the frontier of AI with world-class colleagues and elite comp — but expect intense hours and rapid org changes.

Glassdoor: 4.5

WLB: 3.6

Culture & Values: 4.3

Comp & Benefits: 4.8

82% Recommend CEO: Sam Altman

Values

Engineering-Driven, Ship Fast, Learning & Growth, Ethical AI, Product Impact, Strong Equity

#### Pros

-   ✓Cutting-edge frontier AI research with world-class colleagues
-   ✓Elite compensation — top-tier TC and equity packages

#### Cons

-   ✗High-intensity environment — long hours and intense pace
-   ✗Internal politics and rapid org changes as the company scales

[Full Profile →](https://jobsbyculture.com/companies/openai) [View Jobs →](https://jobsbyculture.com/jobs?company=openai) [Compare →](https://jobsbyculture.com/compare?a=openai)

![Google DeepMind logo](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

## [Google DeepMind](https://jobsbyculture.com/companies/deepmind)

**The consensus on Google DeepMind:** Choose DeepMind if you want world-class AI research with Google-level benefits and genuine work-life balance — but expect bureaucracy and less individual ownership.

Glassdoor: 4.2

WLB: 4.0

Culture & Values: 4.4

Comp & Benefits: 4.5

85% Recommend 86% CEO Approval (Demis Hassabis)

Values

Deep Work, Learning & Growth, Engineering-Driven, Diverse & Inclusive, Ethical AI, Strong Equity, Flexible Hours

#### Pros

-   ✓World-class AI research environment with brilliant colleagues
-   ✓Google-level compensation and benefits with genuine work-life balance

#### Cons

-   ✗Google-scale bureaucracy — slow decision-making compared to startups
-   ✗Large org means less individual ownership and impact on direction

[Full Profile →](https://jobsbyculture.com/companies/deepmind) [View Jobs →](https://jobsbyculture.com/jobs?company=deepmind) [Compare →](https://jobsbyculture.com/compare?a=deepmind)

![Notion logo](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

## [Notion](https://jobsbyculture.com/companies/notion)

**The consensus on Notion:** Choose Notion if you want incredible product culture with transparent leadership and high trust — but expect fast pace and hybrid office requirements.

Glassdoor: 4.4

WLB: 4.2

Culture & Values: 4.6

Comp & Benefits: 4.3

89% Recommend 96% CEO Approval (Ivan Zhao)

Values

Product Impact, Engineering-Driven, Learning & Growth, Transparent, Diverse & Inclusive, Strong Equity

#### Pros

-   ✓Incredible product culture — everyone uses Notion daily and cares deeply
-   ✓Transparent leadership with accessible founders and high trust

#### Cons

-   ✗Fast pace can lead to burnout, especially during product pushes
-   ✗Hybrid required (3 days in-office) — not truly remote-friendly

[Full Profile →](https://jobsbyculture.com/companies/notion) [View Jobs →](https://jobsbyculture.com/jobs?company=notion) [Compare →](https://jobsbyculture.com/compare?a=notion)

![LangChain logo](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

## [LangChain](https://jobsbyculture.com/companies/langchain)

**The consensus on LangChain:** Choose LangChain if you want open-source DNA with massive community impact and high autonomy — but expect early-stage startup chaos and growing pains.

Glassdoor: 4.6

WLB: 4.0

Culture & Values: 4.5

Comp & Benefits: 4.3

CEO: Harrison Chase

Values

Open Source, Engineering-Driven, Ship Fast, Remote-Friendly, Many Hats, Product Impact, Flat Hierarchy

#### Pros

-   ✓Open-source DNA — your work impacts millions of developers
-   ✓Small team with outsized impact — ship fast with high autonomy

#### Cons

-   ✗Very early-stage startup — limited structure and processes
-   ✗Rapidly scaling which brings growing pains and role ambiguity

[Full Profile →](https://jobsbyculture.com/companies/langchain) [View Jobs →](https://jobsbyculture.com/jobs?company=langchain) [Compare →](https://jobsbyculture.com/compare?a=langchain)

![Replit logo](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

## [Replit](https://jobsbyculture.com/companies/replit)

**The consensus on Replit:** Choose Replit if you want to work on exciting AI developer tools with high autonomy — but expect disorganized operations and intense leadership pressure.

Glassdoor: 4.0

WLB: 3.9

Culture & Values: 4.0

Comp & Benefits: 3.8

83% Recommend CEO: Amjad Masad

Values

Ship Fast, Remote-Friendly, Many Hats, Product Impact, Engineering-Driven, Open Source, Social Impact

#### Pros

-   ✓Exciting AI-powered developer tools — cool technology on the frontier
-   ✓Remote-friendly with high autonomy and ownership of your work

#### Cons

-   ✗Disorganized operations — processes can feel chaotic
-   ✗Leadership style can feel intense — high pressure to deliver

[Full Profile →](https://jobsbyculture.com/companies/replit) [View Jobs →](https://jobsbyculture.com/jobs?company=replit) [Compare →](https://jobsbyculture.com/compare?a=replit)

![PostHog logo](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

## [PostHog](https://jobsbyculture.com/companies/posthog)

**The consensus on PostHog:** Choose PostHog if you want radical transparency, open-source impact, and strong WLB — but expect a small team with limited career ladders.

Glassdoor: 4.3

WLB: 4.5

Culture & Values: 4.0

Comp & Benefits: 4.8

75% Recommend 100% CEO Approval (James Hawkins)

Values

Open Source, Transparent, Async-First, Remote-Friendly, Flat Hierarchy, Wears Many Hats

#### Pros

-   ✓Extreme transparency — public handbook, open-source everything, radical autonomy
-   ✓Generous compensation with competitive pay, equity, and home office budget

#### Cons

-   ✗Small team means limited career progression paths
-   ✗Top-down decision-making can sometimes override team input

[Full Profile →](https://jobsbyculture.com/companies/posthog) [View Jobs →](https://jobsbyculture.com/jobs?company=posthog) [Compare →](https://jobsbyculture.com/compare?a=posthog)

![Supabase logo](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

## [Supabase](https://jobsbyculture.com/companies/supabase)

**The consensus on Supabase:** Choose Supabase if you want open-source impact, extreme autonomy, and a no-hierarchy culture — but expect intense workload and poor work-life balance.

Glassdoor: 4.8

WLB: 3.0

Culture & Values: 4.5

Comp & Benefits: 4.0

100% Recommend CEO: Paul Copplestone

Values

Open Source, Remote-Friendly, Engineering-Driven, Ship Fast & Iterate, Flat Hierarchy, Async-First

#### Pros

-   ✓Truly open-source DNA — build products millions of developers use daily
-   ✓No-hierarchy remote culture with extreme autonomy and generous allowances

#### Cons

-   ✗Intense workload — more work than a single person can reasonably manage
-   ✗Work-life balance rated 3.0/5 — fast shipping pace can be relentless

[Full Profile →](https://jobsbyculture.com/companies/supabase) [View Jobs →](https://jobsbyculture.com/jobs?company=supabase) [Compare →](https://jobsbyculture.com/compare?a=supabase)

![Tailscale logo](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

## [Tailscale](https://jobsbyculture.com/companies/tailscale)

**The consensus on Tailscale:** Choose Tailscale if you want same-pay-worldwide, exceptional WLB, and a deeply technical culture — but expect limited career progression and growing pains.

Glassdoor: 4.4

WLB: 4.5

Culture & Values: 4.3

Comp & Benefits: 4.8

79% Recommend 100% CEO Approval (Avery Pennarun)

Values

Remote-Friendly, Work-Life Balance, Strong Comp & Equity, Engineering-Driven, Diverse & Inclusive, Transparent

#### Pros

-   ✓Same pay worldwide with 26 weeks parental leave and genuine work-life balance
-   ✓Brilliant, nerdy CEO who deeply understands the tech — culture is intellectual and respectful

#### Cons

-   ✗Career progression limited — only 3.0/5 on career opportunities
-   ✗Middle management still developing — some growing pains as the org scales

[Full Profile →](https://jobsbyculture.com/companies/tailscale) [View Jobs →](https://jobsbyculture.com/jobs?company=tailscale) [Compare →](https://jobsbyculture.com/compare?a=tailscale)

![Suno logo](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

## [Suno](https://jobsbyculture.com/companies/suno)

**The consensus on Suno:** Choose Suno if you want to build at the frontier of AI music with a creative, fast-shipping team — but expect below-market comp and startup growing pains.

Glassdoor: 4.2

WLB: 3.8

Culture & Values: 3.9

Comp & Benefits: 3.5

85% Recommend CEO: Mikey Shulman

Values

Ship Fast & Iterate, Engineering-Driven, Direct Product Impact, Wears Many Hats, Learning & Growth

#### Pros

-   ✓Building the leading AI music platform with 2M+ paid subscribers and explosive growth
-   ✓Creative, mission-driven team working at the intersection of AI and music

#### Cons

-   ✗Compensation & benefits rated 3.5/5 — below market for AI startups
-   ✗Startup growing pains — processes and structure still catching up to rapid scaling

[Full Profile →](https://jobsbyculture.com/companies/suno) [View Jobs →](https://jobsbyculture.com/jobs?company=suno) [Compare →](https://jobsbyculture.com/compare?a=suno)

![Pylon logo](https://www.google.com/s2/favicons?domain=usepylon.com&sz=128)

## [Pylon](https://jobsbyculture.com/companies/pylon)

**The consensus on Pylon:** Choose Pylon if you want YC + a16z backing, extreme ownership at a tiny startup, and strong comp — but expect polarized culture reviews and minimal process.

Glassdoor: 3.0

WLB: 4.0

Culture & Values: 3.7

Comp & Benefits: 4.7

50% Recommend CEO: Marty Kausas

Values

Ship Fast & Iterate, Engineering-Driven, Flat Hierarchy, Wears Many Hats, Direct Product Impact

#### Pros

-   ✓YC + a16z backed with strong product-market fit in B2B customer support
-   ✓Small team with outsized ownership — every engineer directly shapes the product

#### Cons

-   ✗Polarized reviews — aggressive culture reported by some employees
-   ✗Very early-stage with minimal processes — only 4 Glassdoor reviews

[Full Profile →](https://jobsbyculture.com/companies/pylon) [View Jobs →](https://jobsbyculture.com/jobs?company=pylon) [Compare →](https://jobsbyculture.com/compare?a=pylon)

![incident.io logo](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

## [incident.io](https://jobsbyculture.com/companies/incidentio)

**The consensus on incident.io:** Choose incident.io if you want a genuinely strong culture with excellent benefits and career growth — but expect London-centric work and rapid-scaling growing pains.

Glassdoor: 4.5

WLB: 4.1

Culture & Values: 4.3

Comp & Benefits: 4.7

88% Recommend 88% CEO Approval (Stephen Whitworth)

Values

Transparent, Safe to Fail, Ship Fast & Iterate, Learning & Growth, Engineering-Driven, Flat Hierarchy

#### Pros

-   ✓Strong culture with a dedicated culture manager — values are practiced, not just stated
-   ✓Excellent compensation and benefits with strong career growth opportunities

#### Cons

-   ✗Rapid scaling can create instability — some report organizational growing pains
-   ✗London-centric with limited remote options for some roles

[Full Profile →](https://jobsbyculture.com/companies/incidentio) [View Jobs →](https://jobsbyculture.com/jobs?company=incidentio) [Compare →](https://jobsbyculture.com/compare?a=incidentio)

![Grafana Labs logo](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

## [Grafana Labs](https://jobsbyculture.com/companies/grafanalabs)

**The consensus on Grafana Labs:** Choose Grafana Labs if you want deep open-source impact, fully remote flexibility, and excellent WLB — but expect limited career progression paths above staff level.

Glassdoor: 4.1

WLB: 4.3

Culture & Values: 4.1

Comp & Benefits: 4.0

78% Recommend 71% CEO Approval (Raj Dutt)

Values

Remote-First, Open Source, Engineering-Driven, Transparent, Work-Life Balance, Learning & Growth

#### Pros

-   ✓100% remote-first across 40+ countries with generous PTO (~30 days) and mandatory shutdown days
-   ✓Engineers rate it 4.9/5 — absurdly talented colleagues with strong open-source culture

#### Cons

-   ✗Career progression above staff level can be challenging with limited upward mobility
-   ✗Product management is sometimes marginalized with engineers holding disproportionate power

[Full Profile →](https://jobsbyculture.com/companies/grafanalabs) [View Jobs →](https://jobsbyculture.com/jobs?company=grafanalabs) [Compare →](https://jobsbyculture.com/compare?a=grafanalabs)

![Plaid logo](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

## [Plaid](https://jobsbyculture.com/companies/plaid)

**The consensus on Plaid:** Choose Plaid if you want top-tier engineering culture, transparent leadership, and real fintech impact — but expect some growing pains as the company navigates organizational change.

Glassdoor: 4.6

WLB: 4.2

Culture & Values: 4.2

Comp & Benefits: 4.1

91% Recommend 83% CEO Approval (Zach Perret)

Values

Engineering-Driven, Transparent, Learning & Growth, Product Impact, Safe to Fail, Diverse & Inclusive

#### Pros

-   ✓91% of employees recommend — one of the highest-rated fintech companies on Glassdoor
-   ✓Highly accessible and transparent senior leadership with competitive compensation

#### Cons

-   ✗Organizational changes can create uncertainty as the company scales
-   ✗Career opportunities rated 3.9/5 — growth paths may vary by department

[Full Profile →](https://jobsbyculture.com/companies/plaid) [View Jobs →](https://jobsbyculture.com/jobs?company=plaid) [Compare →](https://jobsbyculture.com/compare?a=plaid)

![Mercury logo](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

## [Mercury](https://jobsbyculture.com/companies/mercury)

**The consensus on Mercury:** Choose Mercury if you want product ownership, fast growth, and to build banking infrastructure for startups — but expect growing pains and occasionally intense workloads.

Glassdoor: 4.3

WLB: 3.8

Culture & Values: 3.9

Comp & Benefits: 4.0

79% Recommend 85% CEO Approval (Immad Akhund)

Values

Product Impact, Engineering-Driven, Ship Fast & Iterate, Learning & Growth, Equity & Ownership, Wears Many Hats

#### Pros

-   ✓Great Place to Work certified — strong talent density with smart, motivated teammates
-   ✓Genuine autonomy and ownership — product-first mindset with meaningful scope

#### Cons

-   ✗Still figuring out how to scale processes — expect ambiguity and shifting priorities
-   ✗Work-life balance rated 3.8/5 — periods of higher intensity during growth phases

[Full Profile →](https://jobsbyculture.com/companies/mercury) [View Jobs →](https://jobsbyculture.com/jobs?company=mercury) [Compare →](https://jobsbyculture.com/compare?a=mercury)

![Airtable logo](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

## [Airtable](https://jobsbyculture.com/companies/airtable)

**The consensus on Airtable:** Choose Airtable if you want strong engineering culture, real product impact at scale, and good WLB — but expect some post-restructuring growing pains and leadership uncertainty.

Glassdoor: 4.1

WLB: 4.0

Culture & Values: 3.9

Comp & Benefits: 4.0

74% Recommend 67% CEO Approval (Howie Liu)

Values

Product Impact, Engineering-Driven, Learning & Growth, Diverse & Inclusive, Flat Hierarchy, Remote-Friendly

#### Pros

-   ✓91% of engineers recommend — strong technical culture with high engineering standards
-   ✓Good work-life balance (4.0/5) with remote-friendly options and comprehensive benefits

#### Cons

-   ✗Post-layoff culture has been impacted — some report declining morale since 2023
-   ✗Communication from leadership could improve — management quality varies by team

[Full Profile →](https://jobsbyculture.com/companies/airtable) [View Jobs →](https://jobsbyculture.com/jobs?company=airtable) [Compare →](https://jobsbyculture.com/compare?a=airtable)

![Brex logo](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

## [Brex](https://jobsbyculture.com/companies/brex)

**The consensus on Brex:** Choose Brex if you want to build AI-powered fintech at massive scale with smart colleagues — but expect intense workloads and some organizational instability from recent layoffs.

Glassdoor: 4.0

WLB: 3.9

Culture & Values: 3.8

Comp & Benefits: 4.0

77% Recommend 71% CEO Approval (Pedro Franceschi)

Values

Ship Fast & Iterate, Engineering-Driven, Product Impact, Learning & Growth, Transparent, Remote-First

#### Pros

-   ✓Innovation-driven culture with incredibly smart, passionate, and supportive colleagues
-   ✓Remote-first with strong benefits — time off actively encouraged with flexible scheduling

#### Cons

-   ✗Culture of overworking — many departments understaffed relative to workload expectations
-   ✗Multiple rounds of layoffs in recent years have created uncertainty and morale challenges

[Full Profile →](https://jobsbyculture.com/companies/brex) [View Jobs →](https://jobsbyculture.com/jobs?company=brex) [Compare →](https://jobsbyculture.com/compare?a=brex)

![Datadog logo](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

## [Datadog](https://jobsbyculture.com/companies/datadog)

**The consensus on Datadog:** Choose Datadog if you want strong comp, interesting scale challenges in observability, and a fast-paced engineering culture — but expect long hours and growing bureaucracy.

Glassdoor: 4.2

WLB: 3.8

Culture & Values: 4.3

Comp & Benefits: 4.4

80% Recommend 87% CEO Approval (Olivier Pomel)

Values

Engineering-Driven, Ship Fast & Iterate, Learning & Growth, Product Impact, Strong Comp & Equity

#### Pros

-   ✓Excellent compensation and equity — stock has been a genuine wealth builder for early employees
-   ✓Strong engineering culture with smart coworkers and interesting technical challenges at scale

#### Cons

-   ✗Fast pace can lead to long hours and pressure to deliver, work-life balance varies by team
-   ✗Rapid growth has led to organizational growing pains and bureaucracy creeping in

[Full Profile →](https://jobsbyculture.com/companies/datadog) [View Jobs →](https://jobsbyculture.com/jobs?company=datadog) [Compare →](https://jobsbyculture.com/compare?a=datadog)

![Cloudflare logo](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

## [Cloudflare](https://jobsbyculture.com/companies/cloudflare)

**The consensus on Cloudflare:** Choose Cloudflare if you want mission-driven work building critical internet infrastructure with sharp engineers — but compensation lags FAANG and pressure can be high.

Glassdoor: 3.9

WLB: 3.7

Culture & Values: 4.0

Comp & Benefits: 3.8

72% Recommend 77% CEO Approval (Matthew Prince)

Values

Engineering-Driven, Ship Fast & Iterate, Product Impact, Learning & Growth, Transparent

#### Pros

-   ✓Mission-driven company building critical internet infrastructure — meaningful work with real impact
-   ✓Smart colleagues and a culture that values innovation, shipping quickly, and technical excellence

#### Cons

-   ✗Compensation can lag behind FAANG competitors, especially base salary
-   ✗Some teams experience high pressure and demanding workloads with uneven management quality

[Full Profile →](https://jobsbyculture.com/companies/cloudflare) [View Jobs →](https://jobsbyculture.com/jobs?company=cloudflare) [Compare →](https://jobsbyculture.com/compare?a=cloudflare)

![Crusoe logo](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

## [Crusoe](https://jobsbyculture.com/companies/crusoe)

**The consensus on Crusoe:** Choose Crusoe if you want AI infrastructure with a genuine clean-energy mission and strong equity — but expect startup chaos and long hours as the company scales rapidly.

Glassdoor: 4.3

WLB: 3.5

Culture & Values: 4.5

Comp & Benefits: 4.2

85% Recommend 85% CEO Approval (Chase Lochmiller)

Values

Ship Fast & Iterate, Ethical AI, Social Impact, Many Hats, Engineering-Driven, Strong Comp & Equity

#### Pros

-   ✓Unique mission combining AI compute with clean energy — employees feel genuine environmental impact
-   ✓Strong compensation and equity with startup energy and rapidly growing resources

#### Cons

-   ✗Startup pace means long hours and ambiguity — not for people who want strict 9-to-5
-   ✗Rapid scaling creates process gaps, shifting priorities, and some organizational chaos

[Full Profile →](https://jobsbyculture.com/companies/crusoe) [View Jobs →](https://jobsbyculture.com/jobs?company=crusoe) [Compare →](https://jobsbyculture.com/compare?a=crusoe)

![Baseten logo](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

## [Baseten](https://jobsbyculture.com/companies/baseten)

**The consensus on Baseten:** Choose Baseten if you want high ownership building ML inference infrastructure at an early-stage startup — but expect startup intensity and shifting priorities.

Glassdoor: 4.3

WLB: 3.5

Culture & Values: 4.3

Comp & Benefits: 4.0

Values

Engineering-Driven, Ship Fast & Iterate, Many Hats, Product Impact, Flat Hierarchy

#### Pros

-   ✓Cutting-edge ML inference infrastructure — deploying models at scale for real production customers
-   ✓Small team means high ownership and direct impact on product direction and company strategy

#### Cons

-   ✗Limited resources compared to larger competitors — can feel stretched thin on multiple fronts
-   ✗Fast-moving product roadmap means priorities shift frequently as the market evolves

[Full Profile →](https://jobsbyculture.com/companies/baseten) [View Jobs →](https://jobsbyculture.com/jobs?company=baseten) [Compare →](https://jobsbyculture.com/compare?a=baseten)

![Fireworks AI logo](https://www.google.com/s2/favicons?domain=fireworks.ai&sz=128)

## [Fireworks AI](https://jobsbyculture.com/companies/fireworksai)

**The consensus on Fireworks AI:** Choose Fireworks AI if you want to work with ex-Meta AI infrastructure engineers on cutting-edge LLM inference — but expect early-stage startup intensity and limited structure.

Glassdoor: 4.2

WLB: 3.3

Culture & Values: 4.3

Comp & Benefits: 4.2

Values

Engineering-Driven, Ship Fast & Iterate, Many Hats, Deep Work, Learning & Growth

#### Pros

-   ✓World-class team of ex-Meta AI infrastructure engineers — technically very strong peers
-   ✓Working on LLM inference optimization which is one of the hottest areas in AI infrastructure

#### Cons

-   ✗Early-stage startup intensity with long hours expected and high performance bar
-   ✗Small team and rapidly evolving product means less structure, process, and career laddering

[Full Profile →](https://jobsbyculture.com/companies/fireworksai) [View Jobs →](https://jobsbyculture.com/jobs?company=fireworksai) [Compare →](https://jobsbyculture.com/compare?a=fireworksai)

![Glean logo](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

## [Glean](https://jobsbyculture.com/companies/glean)

**The consensus on Glean:** Top-tier AI engineering talent and explosive growth, but comp lags peers and the sales org has churn problems — the engineering side is the real draw.

Glassdoor: 4.2

WLB: 3.8

Culture & Values: 4.3

Comp & Benefits: 4.2

Values

Engineering-Driven, Learning & Growth, Product Impact, Ship Fast & Iterate, Transparent

#### Pros

-   ✓World-class AI talent — learn from ex-Google leadership on cutting-edge enterprise search
-   ✓Transparent collaborative culture with strong career growth

#### Cons

-   ✗Below-market compensation — comp rated only 3.6/5
-   ✗Sales org has high churn and toxicity problems in EMEA and US

[Full Profile →](https://jobsbyculture.com/companies/glean) [View Jobs →](https://jobsbyculture.com/jobs?company=glean) [Compare →](https://jobsbyculture.com/compare?a=glean)

![Samsara logo](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

## [Samsara](https://jobsbyculture.com/companies/samsara)

**The consensus on Samsara:** Strong sales culture and real-world product impact at massive scale, but engineers report significantly worse WLB than the company average suggests.

Glassdoor: 4.0

WLB: 3.9

Culture & Values: 4.1

Comp & Benefits: 4.0

Values

Product Impact, Learning & Growth, Ship Fast & Iterate, Strong Comp & Equity

#### Pros

-   ✓Clear career trajectory with frequent promotions in sales
-   ✓Real-world product impact building IoT for physical operations

#### Cons

-   ✗Engineers rate WLB at only 2.9/5 despite company average of 3.9
-   ✗Remote work used to justify overwork including weekends

[Full Profile →](https://jobsbyculture.com/companies/samsara) [View Jobs →](https://jobsbyculture.com/jobs?company=samsara) [Compare →](https://jobsbyculture.com/compare?a=samsara)

![Synthesia logo](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

## [Synthesia](https://jobsbyculture.com/companies/synthesia)

**The consensus on Synthesia:** High-growth AI company with strong culture ratings and real employee trust, though R&D teams feel the pace and promotions skew toward external hires.

Glassdoor: 4.4

WLB: 4.2

Culture & Values: 4.5

Comp & Benefits: 4.4

Values

Ship Fast & Iterate, Learning & Growth, Flat Hierarchy, Product Impact, Engineering-Driven, Many Hats

#### Pros

-   ✓Low-ego supportive culture with genuine trust and ownership
-   ✓Fast-paced growth with real opportunity to develop and lead

#### Cons

-   ✗R&D and Product teams feel intense pressure and WLB suffers
-   ✗Promotions rare internally — new roles favor external hires

[Full Profile →](https://jobsbyculture.com/companies/synthesia) [View Jobs →](https://jobsbyculture.com/jobs?company=synthesia) [Compare →](https://jobsbyculture.com/compare?a=synthesia)

![Vanta logo](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

## [Vanta](https://jobsbyculture.com/companies/vanta)

**The consensus on Vanta:** Pays extremely well and owns its market niche, but the meeting-heavy culture and low WLB score (3.3/5) signal this is not for anyone seeking balance.

Glassdoor: 3.8

WLB: 3.3

Culture & Values: 3.9

Comp & Benefits: 3.8

Values

Product Impact, Ship Fast & Iterate, Strong Comp & Equity

#### Pros

-   ✓Strong compensation rated 4.3/5 — best category score
-   ✓Market-defining product in security compliance automation

#### Cons

-   ✗Brutal meeting culture pushing work into nights and weekends
-   ✗Virtually no AEs hit quota — targets unrealistically high

[Full Profile →](https://jobsbyculture.com/companies/vanta) [View Jobs →](https://jobsbyculture.com/jobs?company=vanta) [Compare →](https://jobsbyculture.com/compare?a=vanta)

![Helsing logo](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

## [Helsing](https://jobsbyculture.com/companies/helsing)

**The consensus on Helsing:** Highest talent density of any tech company I've worked at — world-class AI and engineering leadership.

Glassdoor: 4

WLB: 3.6

Values

Engineering-Driven, Ship Fast, Product Impact, Equity, Learning

#### Pros

-   World-class AI talent density
-   Important mission with competitive salary

#### Cons

-   Excessive work hour expectations
-   Some inexperienced management

[Full Profile →](https://jobsbyculture.com/companies/helsing) [View Jobs →](https://jobsbyculture.com/jobs?company=helsing) [Compare →](https://jobsbyculture.com/compare?a=helsing)

![Wayve logo](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

## [Wayve](https://jobsbyculture.com/companies/wayve)

**The consensus on Wayve:** Great culture — smart, friendly people with a supportive and inclusive familial bond. Immense creative freedom.

Glassdoor: 4.4

WLB: 3.9

Values

Engineering-Driven, Learning, Product Impact, Diverse, Ship Fast

#### Pros

-   Inclusive culture with humble founders
-   Creative freedom and autonomy

#### Cons

-   Unclear career progression
-   Burnout risk from ambitious pace

[Full Profile →](https://jobsbyculture.com/companies/wayve) [View Jobs →](https://jobsbyculture.com/jobs?company=wayve) [Compare →](https://jobsbyculture.com/compare?a=wayve)

![DeepL logo](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

## [DeepL](https://jobsbyculture.com/companies/deepl)

**The consensus on DeepL:** Great product with big-name customers. Very international team of 90+ nationalities with good work-life balance.

Glassdoor: 3.2

WLB: 4

Values

Work-Life Balance, Flex Hours, Diverse, Product Impact

#### Pros

-   Great product, 100M+ users
-   90+ nationalities, good WLB

#### Cons

-   Intransparent leadership
-   High employee churn

[Full Profile →](https://jobsbyculture.com/companies/deepl) [View Jobs →](https://jobsbyculture.com/jobs?company=deepl) [Compare →](https://jobsbyculture.com/compare?a=deepl)

![Celonis logo](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

## [Celonis](https://jobsbyculture.com/companies/celonis)

**The consensus on Celonis:** Strong learning and development opportunities with excellent internal mobility options.

Glassdoor: 3.8

WLB: 3.8

Values

Learning, Equity, Ship Fast, Product Impact

#### Pros

-   Strong L&D and internal mobility
-   Great team culture with mentorship

#### Cons

-   Below-market compensation
-   Frequent reorgs with poor comms

[Full Profile →](https://jobsbyculture.com/companies/celonis) [View Jobs →](https://jobsbyculture.com/jobs?company=celonis) [Compare →](https://jobsbyculture.com/compare?a=celonis)

![Contentful logo](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

## [Contentful](https://jobsbyculture.com/companies/contentful)

**The consensus on Contentful:** Flexible remote/hybrid setup with strong distributed team culture. Talented and humble engineering team.

Glassdoor: 3.4

WLB: 3.8

Values

Remote, Engineering-Driven, Learning, Product Impact

#### Pros

-   Flexible remote/hybrid setup
-   Humble engineering team

#### Cons

-   Stagnating product development
-   Difficult internal promotions

[Full Profile →](https://jobsbyculture.com/companies/contentful) [View Jobs →](https://jobsbyculture.com/jobs?company=contentful) [Compare →](https://jobsbyculture.com/compare?a=contentful)

![Adyen logo](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

## [Adyen](https://jobsbyculture.com/companies/adyen)

**The consensus on Adyen:** Smart, humble colleagues with high standards. Good work-life balance with trust-based culture.

Glassdoor: 3.8

WLB: 4.1

Values

Engineering-Driven, Ship Fast, Work-Life Balance, Product Impact, Learning

#### Pros

-   Smart colleagues, market-leading product
-   Good WLB, trust-based culture

#### Cons

-   Below-market comp (~20% less)
-   Management issues at scale

[Full Profile →](https://jobsbyculture.com/companies/adyen) [View Jobs →](https://jobsbyculture.com/jobs?company=adyen) [Compare →](https://jobsbyculture.com/compare?a=adyen)

![Doctolib logo](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

## [Doctolib](https://jobsbyculture.com/companies/doctolib)

**The consensus on Doctolib:** Mission-driven colleagues who genuinely care about improving healthcare access across Europe.

Glassdoor: 3.7

WLB: 3.7

Values

Mission-Driven, Learning, Product Impact, Ship Fast

#### Pros

-   Genuine healthcare mission
-   Strong growth opportunities

#### Cons

-   Heavy-handed management
-   French-centric culture barrier

[Full Profile →](https://jobsbyculture.com/companies/doctolib) [View Jobs →](https://jobsbyculture.com/jobs?company=doctolib) [Compare →](https://jobsbyculture.com/compare?a=doctolib)

![n8n logo](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

## [n8n](https://jobsbyculture.com/companies/n8n)

**The consensus on n8n:** Exceptional remote-first culture with high trust, autonomy, and smart collaborative teammates.

Glassdoor: 4.5

WLB: 4

Values

Remote, Open Source, Flat, Transparent, Async

#### Pros

-   Exceptional remote-first culture
-   Fast-growing OSS product, lots of ownership

#### Cons

-   Shifting priorities in hypergrowth
-   Startup intensity can be stressful

[Full Profile →](https://jobsbyculture.com/companies/n8n) [View Jobs →](https://jobsbyculture.com/jobs?company=n8n) [Compare →](https://jobsbyculture.com/compare?a=n8n)

![Lovable logo](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

## [Lovable](https://jobsbyculture.com/companies/lovable)

**The consensus on Lovable:** We move fast and ship — results matter more than talk.

Glassdoor: 3.5

WLB: 3

Values

Engineering-Driven, Ship Fast, Product Impact, Learning Culture

#### Pros

-   Explosive growth — $400M ARR with massive user traction
-   High autonomy and ownership over impactful work

#### Cons

-   Intense pace with long hours reported
-   Fast growth means processes still catching up

[Full Profile →](https://jobsbyculture.com/companies/lovable) [View Jobs →](https://jobsbyculture.com/jobs?company=lovable) [Compare →](https://jobsbyculture.com/compare?a=lovable)

![Cognition logo](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

## [Cognition](https://jobsbyculture.com/companies/cognition)

**The consensus on Cognition:** A small and talent-dense team building the future of software engineering.

Glassdoor: 3.8

WLB: 3.2

Values

Engineering-Driven, Ship Fast, Strong Equity, Product Impact

#### Pros

-   World-class technical team (10 IOI gold medalists)
-   Massive valuation (

0B+) with strong equity upside

#### Cons

-   High-intensity, fast-paced environment
-   In-person expectations in San Francisco

[Full Profile →](https://jobsbyculture.com/companies/cognition) [View Jobs →](https://jobsbyculture.com/jobs?company=cognition) [Compare →](https://jobsbyculture.com/compare?a=cognition)

![Harvey logo](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

## [Harvey](https://jobsbyculture.com/companies/harvey)

**The consensus on Harvey:** Exceptionally smart, driven, and supportive people — everyone genuinely wants to see each other succeed.

Glassdoor: 3.9

WLB: 3.4

Values

Engineering-Driven, Ship Fast, Strong Equity, Learning Culture, Product Impact

#### Pros

-   Top-tier compensation ($330K+ median SWE comp)
-   Strong product-market fit with 1000+ customers

#### Cons

-   Intense work culture with long hours
-   In-office 3+ days/week required

[Full Profile →](https://jobsbyculture.com/companies/harvey) [View Jobs →](https://jobsbyculture.com/jobs?company=harvey) [Compare →](https://jobsbyculture.com/compare?a=harvey)

![Sierra logo](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

## [Sierra](https://jobsbyculture.com/companies/sierra)

**The consensus on Sierra:** Working side by side helps us move faster and solve harder problems.

Glassdoor: 4

WLB: 3.5

Values

Engineering-Driven, Ship Fast, Strong Equity, Learning Culture

#### Pros

-   Founded by Bret Taylor (ex-Salesforce CEO) — elite leadership

00M ARR in under 2 years with 0B valuation

#### Cons

-   Primarily in-person culture — remote not the default
-   Rapidly scaling org means roles evolving fast

[Full Profile →](https://jobsbyculture.com/companies/sierra) [View Jobs →](https://jobsbyculture.com/jobs?company=sierra) [Compare →](https://jobsbyculture.com/compare?a=sierra)

![Hebbia logo](https://www.google.com/s2/favicons?domain=hebbia.com&sz=128)

## [Hebbia](https://jobsbyculture.com/companies/hebbia)

**The consensus on Hebbia:** Culture built on compassion and grit — the kindest, most sharp group of people.

Glassdoor: 4.4

WLB: 3.2

Values

Engineering-Driven, Ship Fast, Learning Culture, Many Hats, Product Impact

#### Pros

-   Exceptional culture scores (4.8/5 culture & values on Glassdoor)
-   Cutting-edge AI work powering BlackRock, KKR, Carlyle

#### Cons

-   Long hours expected (70+ hrs/week mentioned)
-   5 days/week in-office with no flexibility

[Full Profile →](https://jobsbyculture.com/companies/hebbia) [View Jobs →](https://jobsbyculture.com/jobs?company=hebbia) [Compare →](https://jobsbyculture.com/compare?a=hebbia)

![Cerebras Systems logo](https://www.google.com/s2/favicons?domain=cerebras.ai&sz=128)

## [Cerebras Systems](https://jobsbyculture.com/companies/cerebras)

**The consensus on Cerebras Systems:** Amazing talent with a great spirit of mentoring and collaboration — freedom to do your best work.

Glassdoor: 4

WLB: 3.8

Values

Engineering-Driven, Learning Culture, Product Impact

#### Pros

-   Strong mentorship culture with collaborative engineering teams
-   Meaningful hardware + AI work — real NVIDIA challenger

#### Cons

-   Top-down decisions with aggressive timelines
-   Recent layoff concerns and workload pressure

[Full Profile →](https://jobsbyculture.com/companies/cerebras) [View Jobs →](https://jobsbyculture.com/jobs?company=cerebras) [Compare →](https://jobsbyculture.com/compare?a=cerebras)

![Poolside logo](https://www.google.com/s2/favicons?domain=poolside.ai&sz=128)

## [Poolside](https://jobsbyculture.com/companies/poolside)

**The consensus on Poolside:** Be brilliant, be kind — where ideas become experiments and experiments become breakthroughs.

Glassdoor: 3.8

WLB: 3.5

Values

Engineering-Driven, Remote-Friendly, Flat Structure, Many Hats, Learning Culture

#### Pros

-   Remote-first across Europe and North America
-   Cutting-edge foundation models for code generation

#### Cons

-   Very early-stage — processes still forming
-   Compensation may trail larger AI labs

[Full Profile →](https://jobsbyculture.com/companies/poolside) [View Jobs →](https://jobsbyculture.com/jobs?company=poolside) [Compare →](https://jobsbyculture.com/compare?a=poolside)

![Anyscale logo](https://www.google.com/s2/favicons?domain=anyscale.com&sz=128)

## [Anyscale](https://jobsbyculture.com/companies/anyscale)

**The consensus on Anyscale:** World-class engineering team working on hard distributed systems problems with real impact on AI infrastructure.

Glassdoor: 4.2

WLB: 3.8

Values

Engineering-Driven, Open Source, Flat Structure, Ship Fast

#### Pros

-   Work on foundational AI infrastructure used by top labs
-   Strong open-source culture around Ray ecosystem

#### Cons

-   Fast pace can lead to shifting priorities
-   Startup growing pains as company scales

[Full Profile →](https://jobsbyculture.com/companies/anyscale) [View Jobs →](https://jobsbyculture.com/jobs?company=anyscale) [Compare →](https://jobsbyculture.com/compare?a=anyscale)

![Descript logo](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

## [Descript](https://jobsbyculture.com/companies/descript)

**The consensus on Descript:** You get to work on genuinely hard AI problems with a team that cares deeply about craft and user experience.

Glassdoor: 3.9

WLB: 3.8

Values

Engineering-Driven, Ship Fast, Flat Structure, Many Hats, Remote-Friendly

#### Pros

-   Cutting-edge AI/ML work on multimodal media
-   Strong product-minded engineering culture

#### Cons

-   Fast pace can lead to shifting priorities
-   Startup growing pains as team scales

[Full Profile →](https://jobsbyculture.com/companies/descript) [View Jobs →](https://jobsbyculture.com/jobs?company=descript) [Compare →](https://jobsbyculture.com/compare?a=descript)

![Labelbox logo](https://www.google.com/s2/favicons?domain=labelbox.com&sz=128)

## [Labelbox](https://jobsbyculture.com/companies/labelbox)

**The consensus on Labelbox:** You're building the picks and shovels of the AI gold rush — every major foundation model team is a customer.

Glassdoor: 3.8

WLB: 3.6

Values

Engineering-Driven, Ship Fast, Strong Equity, Diverse

#### Pros

-   Critical infrastructure for AI model training
-   Series D funded with strong enterprise traction

#### Cons

-   Data labeling space is competitive
-   Enterprise sales cycles can slow product iteration

[Full Profile →](https://jobsbyculture.com/companies/labelbox) [View Jobs →](https://jobsbyculture.com/jobs?company=labelbox) [Compare →](https://jobsbyculture.com/compare?a=labelbox)

![Decagon logo](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

## [Decagon](https://jobsbyculture.com/companies/decagon)

**The consensus on Decagon:** Strong engineering culture and rapid shipping — you ship AI agents to Fortune 500s and see real impact week after week.

Glassdoor: 3.9

WLB: 3.7

Values

Engineering-Driven, Ship Fast, Strong Equity, Product Impact

#### Pros

-   Series D (

50M at $4.5B valuation, Jan 2026)-   Customers include major enterprises — real usage, real impact
-   Strong engineering culture with technical founders

#### Cons

-   Workload can be intense with high expectations
-   Fast-paced environment is not for everyone
-   Comp & benefits rated 3.2/5 (equity helps offset)

[Full Profile →](https://jobsbyculture.com/companies/decagon) [View Jobs →](https://jobsbyculture.com/jobs?company=decagon) [Compare →](https://jobsbyculture.com/compare?a=decagon)

![Granola logo](https://www.google.com/s2/favicons?domain=granola.ai&sz=128)

## [Granola](https://jobsbyculture.com/companies/granola)

**The consensus on Granola:** Small team, total ownership of your area — users genuinely love the product, and everyone cares about product quality.

Glassdoor: 4.8

WLB: 4.5

Values

Engineering-Driven, Ship Fast, Strong Equity, Product Impact, Many Hats

#### Pros

-   Series C at

.5B valuation led by Index Ventures and Kleiner Perkins-   Beloved product — users genuinely advocate for Granola
-   Tiny team means total ownership of your area

#### Cons

-   5-day in-office default (though flexible on life circumstances)
-   London-based — limited remote-first roles
-   Early-stage compensation can lag established AI labs (equity heavy)

[Full Profile →](https://jobsbyculture.com/companies/granola) [View Jobs →](https://jobsbyculture.com/jobs?company=granola) [Compare →](https://jobsbyculture.com/compare?a=granola)

![Chainguard logo](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

## [Chainguard](https://jobsbyculture.com/companies/chainguard)

**The consensus on Chainguard:** Fully remote with outstanding benefits. Founders are practitioners who understand what engineers need. Great balance of autonomy and collaboration.

Glassdoor: 4.5

WLB: 4.2

Values

Remote, Open Source, Engineering-Driven, Strong Equity, Work-Life Balance

#### Pros

-   Fully remote with excellent benefits — 100% health/dental/vision coverage
-   Founders are security practitioners, not just business people
-   Strong open-source culture — core product secures the OSS supply chain

#### Cons

-   Hypergrowth means some processes are still maturing
-   Fully remote can feel isolating — limited in-person interaction
-   Sales org reviews are more mixed than engineering

[Full Profile →](https://jobsbyculture.com/companies/chainguard) [View Jobs →](https://jobsbyculture.com/jobs?company=chainguard) [Compare →](https://jobsbyculture.com/compare?a=chainguard)

![GitLab logo](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

## [GitLab](https://jobsbyculture.com/companies/gitlab)

**The consensus on GitLab:** The world's largest all-remote company. Async-first, radically transparent, with a public handbook and real flexibility. Best-in-class remote culture.

Glassdoor: 3.9

WLB: 3.9

Values

Remote, Async, Transparent, Open Source, Work-Life Balance

#### Pros

-   Best-in-class all-remote culture — async-first with real flexibility
-   Radically transparent — public handbook, open compensation, open processes
-   Core product is open-source with a strong community

#### Cons

-   Revenue org can feel chaotic — quota changes and restructuring
-   Some C-suite leadership turnover and instability
-   Career growth opportunities rated lower (3.4/5)

[Full Profile →](https://jobsbyculture.com/companies/gitlab) [View Jobs →](https://jobsbyculture.com/jobs?company=gitlab) [Compare →](https://jobsbyculture.com/compare?a=gitlab)

![Mercor logo](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

## [Mercor](https://jobsbyculture.com/companies/mercor)

**The consensus on Mercor:** AI-native hiring platform valued at

0B, built by a tiny team shipping at breakneck pace. High intensity, high impact — not for the faint-hearted.

Glassdoor: 3.9

WLB: 3.9

Values

Ship Fast, Engineering-Driven, Flat Hierarchy, Strong Equity

#### Pros

-   Building the AI hiring infrastructure — massive TAM and strong revenue growth
-   Extremely well-funded (0B valuation) with competitive compensation
-   Tiny core team means outsized individual impact

#### Cons

-   Intense pace — 9am–9pm, 6 days a week is the norm
-   Work-life balance is sacrificed for speed of execution
-   Rapid growth creating organizational growing pains

[Full Profile →](https://jobsbyculture.com/companies/mercor) [View Jobs →](https://jobsbyculture.com/jobs?company=mercor) [Compare →](https://jobsbyculture.com/compare?a=mercor)

![Asana logo](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

## [Asana](https://jobsbyculture.com/companies/asana)

**The consensus on Asana:** Work management platform with one of the strongest culture ratings in tech. High transparency, genuine work-life balance, and a learning-first engineering team.

Glassdoor: 4.1

WLB: 4.2

Values

Work-Life Balance, Transparent, Learning Culture, Product Impact, Diverse & Inclusive

#### Pros

-   Exceptional work-life balance for a public tech company (4.2/5)
-   Highly transparent culture — clarity, accountability, and open communication
-   Strong D&I commitment with 4.4/5 diversity rating

#### Cons

-   Some concerns about senior management accountability
-   Frequent organizational changes and restructuring
-   Mandatory in-office days (hybrid 3 days/week) may not suit everyone

[Full Profile →](https://jobsbyculture.com/companies/asana) [View Jobs →](https://jobsbyculture.com/jobs?company=asana) [Compare →](https://jobsbyculture.com/compare?a=asana)

![Webflow logo](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

## [Webflow](https://jobsbyculture.com/companies/webflow)

**The consensus on Webflow:** Builders building for builders. Remote-first with genuine work-life balance and a product engineers actually love using.

Glassdoor: 3.7

WLB: 4

Values

Engineering-Driven, Product Impact, Remote, Work-Life Balance, Learning & Growth

#### Pros

-   Remote-first culture with healthy work-life boundaries
-   Product that engineers genuinely love building
-   Strong enablement and growth opportunities

#### Cons

-   Recent leadership changes have created uncertainty
-   Communication and feedback channels have narrowed
-   Onboarding could be stronger for new hires

[Full Profile →](https://jobsbyculture.com/companies/webflow) [View Jobs →](https://jobsbyculture.com/jobs?company=webflow) [Compare →](https://jobsbyculture.com/compare?a=webflow)

![MongoDB logo](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

## [MongoDB](https://jobsbyculture.com/companies/mongodb)

**The consensus on MongoDB:** World-class enablement, strong engineering culture, and the chance to work on one of the most widely-used databases on the planet.

Glassdoor: 4

WLB: 3.8

Values

Open Source, Engineering-Driven, Learning & Growth, Strong Equity, Product Impact

#### Pros

-   Best-in-class enablement and training programs
-   Strong engineering culture with real technical depth
-   Competitive compensation with solid equity packages

#### Cons

-   No 401k match — surprising for a company this size
-   Culture has become more political at larger scale
-   Team-switching happens when things don't work out

[Full Profile →](https://jobsbyculture.com/companies/mongodb) [View Jobs →](https://jobsbyculture.com/jobs?company=mongodb) [Compare →](https://jobsbyculture.com/compare?a=mongodb)

![Writer logo](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

## [Writer](https://jobsbyculture.com/companies/writer)

**The consensus on Writer:** Building the full-stack enterprise AI platform with proprietary LLMs. High-intensity, high-impact — for people who want to define how enterprises use AI.

Glassdoor: 3.5

WLB: 2.7

Values

Engineering-Driven, Ship Fast, Open Source

#### Pros

-   Building proprietary LLMs (Palmyra) — real AI engineering, not just API wrappers
-   Visionary leadership with strong enterprise traction
-   Open-source culture — Writer Framework and Palmyra models are public

#### Cons

-   Work-life balance is a real concern — high expectations with little room for error
-   Middle management layer has grown, creating friction
-   Culture can feel intense — not for everyone

[Full Profile →](https://jobsbyculture.com/companies/writer) [View Jobs →](https://jobsbyculture.com/jobs?company=writer) [Compare →](https://jobsbyculture.com/compare?a=writer)

![Twilio logo](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

## [Twilio](https://jobsbyculture.com/companies/twilio)

**The consensus on Twilio:** Developer-first cloud communications platform with a genuine remote culture. Great work-life balance and compensation, but navigating reorgs requires resilience.

Glassdoor: 3.9

WLB: 4.1

Values

Remote, Work-Life Balance, Engineering-Driven, Open Source, Strong Equity, Learning & Growth

#### Pros

-   Genuine remote-first culture — 'Open Work' policy with real flexibility
-   Excellent work-life balance rated 4.1/5 on Glassdoor
-   Strong compensation and benefits rated 4.2/5

#### Cons

-   Frequent reorgs and management changes create instability
-   Company has shifted from builder culture to more profit-driven focus
-   Some teams report management quality issues

[Full Profile →](https://jobsbyculture.com/companies/twilio) [View Jobs →](https://jobsbyculture.com/jobs?company=twilio) [Compare →](https://jobsbyculture.com/compare?a=twilio)

![Abridge logo](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

## [Abridge](https://jobsbyculture.com/companies/abridge)

**The consensus on Abridge:** Mission-driven healthcare AI with exceptional management, blameless culture, and real clinical impact. 93% of employees recommend it.

Glassdoor: 4.7

WLB: 4.5

Values

Mission-Driven, Engineering-Driven, Learning & Growth, Product Impact, Strong Equity

#### Pros

-   Meaningful mission — transforming healthcare documentation with AI
-   Exceptional middle management and supportive leadership
-   Top-tier compensation and benefits (4.6/5 on Glassdoor)

#### Cons

-   Fast pace can lead to intense weeks during product pushes
-   Third-party vendor dependencies create occasional friction
-   Hybrid model — co-location expected at SF or NYC hubs

[Full Profile →](https://jobsbyculture.com/companies/abridge) [View Jobs →](https://jobsbyculture.com/jobs?company=abridge) [Compare →](https://jobsbyculture.com/compare?a=abridge)

![Navan logo](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

## [Navan](https://jobsbyculture.com/companies/navan)

**The consensus on Navan:** Fast-paced travel tech with real career growth. Managers invest in your development and the product has genuine market impact.

Glassdoor: 4

WLB: 3.7

Values

Ship Fast, Learning & Growth, Product Impact, Strong Equity, Engineering-Driven

#### Pros

-   Strong career growth — managers genuinely invest in development
-   AI-driven product with real market traction ($700M+ revenue)
-   Collaborative environment with smart, driven colleagues

#### Cons

-   Frequent org changes require high adaptability
-   Intense workload and ambitious sales targets
-   Work-life balance varies significantly by team

[Full Profile →](https://jobsbyculture.com/companies/navan) [View Jobs →](https://jobsbyculture.com/jobs?company=navan) [Compare →](https://jobsbyculture.com/compare?a=navan)

![Cresta logo](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

## [Cresta](https://jobsbyculture.com/companies/cresta)

**The consensus on Cresta:** Best engineering team in Silicon Valley. No politics, high ownership, and a product that delivers massive results for customers.

Glassdoor: 4.6

WLB: 3.7

Values

Engineering-Driven, Ship Fast, Learning & Growth, Strong Equity, Product Impact

#### Pros

-   World-class engineering talent — no politics, deep ownership
-   Strong compensation with meaningful equity upside
-   High-growth trajectory with real product-market fit

#### Cons

-   Fast pace can conflict with work-life balance
-   Hyper-growth startup pains — roles evolving rapidly
-   High expectations and accountability from day one

[Full Profile →](https://jobsbyculture.com/companies/cresta) [View Jobs →](https://jobsbyculture.com/jobs?company=cresta) [Compare →](https://jobsbyculture.com/compare?a=cresta)

![Elastic logo](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

## [Elastic](https://jobsbyculture.com/companies/elastic)

**The consensus on Elastic:** Distributed before it was cool. Open-source at the core. Home, Dinner is not a slogan — it is how the company was built.

Glassdoor: 4

WLB: 4.1

Values

Remote, Open Source, Work-Life Balance, Async, Strong Equity

#### Pros

-   Fully distributed since founding — no office politics or relocation required
-   Open-source mission gives engineers real community impact
-   Strong work-life balance with "Home, Dinner" core value

#### Cons

-   Cross-timezone communication can be challenging
-   Recent leadership changes introduced some micromanagement concerns
-   Large company — less startup energy than smaller peers

[Full Profile →](https://jobsbyculture.com/companies/elastic) [View Jobs →](https://jobsbyculture.com/jobs?company=elastic) [Compare →](https://jobsbyculture.com/compare?a=elastic)

![Lambda logo](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

## [Lambda](https://jobsbyculture.com/companies/lambda)

**The consensus on Lambda:** Building the cloud for AI. Smart engineering team, breakneck growth, and GPU infrastructure that powers the world's top AI labs.

Glassdoor: 3.6

WLB: 3.7

Values

Engineering-Driven, Ship Fast, Strong Equity, Product Impact

#### Pros

-   Building critical AI infrastructure — Lambda GPUs power top AI labs worldwide
-   Smart, deeply technical engineering team
-   Massive growth ($760M ARR) with

.3B in funding — strong equity upside

#### Cons

-   Management described as top-down and indecisive by some reviewers
-   Internal politics can slow execution despite fast-growth trajectory
-   Company strategy direction has been questioned in reviews

[Full Profile →](https://jobsbyculture.com/companies/lambda) [View Jobs →](https://jobsbyculture.com/jobs?company=lambda) [Compare →](https://jobsbyculture.com/compare?a=lambda)

![Snowflake logo](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

## [Snowflake](https://jobsbyculture.com/companies/snowflake)

**The consensus on Snowflake:** Massive-scale data infrastructure, top-tier compensation, and hard engineering problems — but a culture in transition under new leadership.

Glassdoor: 3.7

WLB: 3.4

Values

Engineering-Driven, Strong Equity, Learning & Growth, Ship Fast

#### Pros

-   Work on massive-scale distributed systems — genuinely hard engineering problems
-   Top-tier compensation with public company RSUs (4.2/5 comp rating)
-   Senior leaders are accessible — easier to get face time than at larger tech cos

#### Cons

-   Culture in transition under new CEO — holiday cuts and morale concerns
-   Work-life balance varies by team — oncall can be rough
-   Quarterly planning described as heavy overhead by many engineers

[Full Profile →](https://jobsbyculture.com/companies/snowflake) [View Jobs →](https://jobsbyculture.com/jobs?company=snowflake) [Compare →](https://jobsbyculture.com/compare?a=snowflake)

![Deepgram logo](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

## [Deepgram](https://jobsbyculture.com/companies/deepgram)

**The consensus on Deepgram:** Exciting market with lots of growth and learning opportunities — talented, humble, and kind people who trust you to do great work.

Glassdoor: 4.6

WLB: 4.3

Values

Engineering-Driven, Ship Fast, Learning & Growth, Product Impact

#### Pros

-   Highly collaborative culture with humble, talented engineers
-   Exciting voice AI market with real growth —

.3B valuation-   Strong learning opportunities across audio and text AI domains

#### Cons

-   Intense workload — hard to find good work-life balance at times
-   CEO-driven decision-making can override team consensus
-   Post-layoff concerns about PTO usage and longer hours

[Full Profile →](https://jobsbyculture.com/companies/deepgram) [View Jobs →](https://jobsbyculture.com/jobs?company=deepgram) [Compare →](https://jobsbyculture.com/compare?a=deepgram)

![Toast logo](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

## [Toast](https://jobsbyculture.com/companies/toast)

**The consensus on Toast:** Smart mid-level and senior engineers, inclusive culture, and a product that genuinely transforms how restaurants operate.

Glassdoor: 3.8

WLB: 3.7

Values

Engineering-Driven, Learning & Growth, Product Impact, Diverse & Inclusive, Strong Equity

#### Pros

-   Inclusive culture — 4.2/5 D&I rating from engineering reviews
-   Competitive compensation with public company RSUs (NYSE: TOST)
-   Forward-thinking tech stack with smart engineering leadership

#### Cons

-   Return-to-office mandate despite employee pushback
-   Micromanagement from non-technical stakeholders in some teams
-   Career growth can stall — some roles under-leveled vs. industry

[Full Profile →](https://jobsbyculture.com/companies/toast) [View Jobs →](https://jobsbyculture.com/jobs?company=toast) [Compare →](https://jobsbyculture.com/compare?a=toast)

![Amplitude logo](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

## [Amplitude](https://jobsbyculture.com/companies/amplitude)

**The consensus on Amplitude:** Data-driven product analytics company where engineers own the platform powering decisions at 2,600+ companies.

Glassdoor: 3.8

WLB: 3.9

Values

Engineering-Driven, Learning & Growth, Product Impact, Strong Equity

#### Pros

-   Strong product analytics platform used by thousands of companies
-   Competitive comp and benefits (4.4/5 rated)
-   Good work-life balance (3.9/5)

#### Cons

-   Frequent leadership changes and strategic pivots
-   Management rated lowest category (3.1/5)
-   Post-IPO growing pains with layoffs since 2023

[Full Profile →](https://jobsbyculture.com/companies/amplitude) [View Jobs →](https://jobsbyculture.com/jobs?company=amplitude) [Compare →](https://jobsbyculture.com/compare?a=amplitude)

![Okta logo](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

## [Okta](https://jobsbyculture.com/companies/okta)

**The consensus on Okta:** The identity platform that secures every connection. Dynamic Work means flexibility is built in, not bolted on.

Glassdoor: 3.7

WLB: 3.8

Values

Learning & Growth, Strong Equity, Product Impact, Diverse

#### Pros

-   Dynamic Work — flexible schedules, no mandatory office days
-   Strong compensation & benefits (4.0/5 rated)
-   Market-leading identity platform — meaningful security mission

#### Cons

-   Recent layoffs have affected morale and job security perception
-   Career opportunities rated 3.4/5 — growth paths could be clearer
-   Large company bureaucracy — can feel slow compared to startups

[Full Profile →](https://jobsbyculture.com/companies/okta) [View Jobs →](https://jobsbyculture.com/jobs?company=okta) [Compare →](https://jobsbyculture.com/compare?a=okta)

![Ironclad logo](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

## [Ironclad](https://jobsbyculture.com/companies/ironclad)

**The consensus on Ironclad:** Zero-ego, high-caliber team building the gold standard in AI-powered contract management. Engineers praise low-friction processes and real product impact.

Glassdoor: 4.4

WLB: 4.5

Values

Work-Life Balance, Engineering-Driven, Product Impact, Learning & Growth

#### Pros

-   Excellent work-life balance (4.5/5) — rare for a high-growth company
-   Top-notch engineering org with modern tech stack and low-friction processes
-   Game-changing CLM product — engineers see direct impact on how businesses operate

#### Cons

-   Compensation below industry standards for some roles — no 401k match
-   AI ambitions outpace current capabilities — gap between marketing and reality
-   Office getting cramped as team grows rapidly

[Full Profile →](https://jobsbyculture.com/companies/ironclad) [View Jobs →](https://jobsbyculture.com/jobs?company=ironclad) [Compare →](https://jobsbyculture.com/compare?a=ironclad)

![Coinbase logo](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

## [Coinbase](https://jobsbyculture.com/companies/coinbase)

**The consensus on Coinbase:** Remote-first at 95%, top-tier compensation, and a mission to build an open financial system. High-performance culture that rewards builders.

Glassdoor: 3.7

WLB: 2.9

Values

Remote, Strong Equity, Ship Fast, Engineering-Driven

#### Pros

-   Truly remote-first — 95% of roles are remote with genuine flexibility
-   Outstanding compensation & benefits rated 4.3/5 — strong RSU packages
-   Mission-driven crypto platform building the future of finance

#### Cons

-   Poor work-life balance (2.9/5) — intense, high-performance expectations
-   Layoff history has eroded trust in job security
-   Culture & values rated 3.3/5 — efficiency-driven can feel impersonal

[Full Profile →](https://jobsbyculture.com/companies/coinbase) [View Jobs →](https://jobsbyculture.com/jobs?company=coinbase) [Compare →](https://jobsbyculture.com/compare?a=coinbase)

![Hippocratic AI logo](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

## [Hippocratic AI](https://jobsbyculture.com/companies/hippocratic-ai)

**The consensus on Hippocratic AI:** Mission-first healthcare AI with a take-the-Hippocratic-Oath onboarding culture. Fast-moving startup solving real clinical problems with generative AI.

Glassdoor: 3.9

WLB: 3.2

Values

Mission-Driven, Engineering-Driven, Ship Fast, Many Hats, Learning & Growth

#### Pros

-   Genuinely mission-driven — new hires take the Hippocratic Oath together
-   Exceptional recruiting and onboarding experience rated best-in-class
-   Career opportunities rated 4.5/5 — rapid growth means fast advancement

#### Cons

-   Work-life balance rated 3.2/5 — long hours common at startup pace
-   In-office five days a week in Palo Alto — no remote flexibility
-   Everyone wears multiple hats — energizing but can be stressful

[Full Profile →](https://jobsbyculture.com/companies/hippocratic-ai) [View Jobs →](https://jobsbyculture.com/jobs?company=hippocratic-ai) [Compare →](https://jobsbyculture.com/compare?a=hippocratic-ai)

![Spotify logo](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

## [Spotify](https://jobsbyculture.com/companies/spotify)

**The consensus on Spotify:** Famous for the squad model and genuine work-life balance. Managers actively check you've taken vacation. Global, flexible, and built for creative engineers.

Glassdoor: 3.9

WLB: 4.3

Values

Work-Life Balance, Flex Hours, Engineering-Driven, Learning & Growth, Strong Equity

#### Pros

-   Outstanding work-life balance rated 4.3/5 — managers actively encourage time off
-   Genuine flexibility with Work From Anywhere policy and flexible PTO
-   Pioneered the squad model — strong engineering autonomy and ownership

#### Cons

-   Career opportunities rated 3.5/5 — advancement can feel slow at scale
-   2023 layoffs (17%) impacted morale and trust despite record profits
-   Management quality varies greatly by team and tribe

[Full Profile →](https://jobsbyculture.com/companies/spotify) [View Jobs →](https://jobsbyculture.com/jobs?company=spotify) [Compare →](https://jobsbyculture.com/compare?a=spotify)

![Exa logo](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

## [Exa](https://jobsbyculture.com/companies/exa)

**The consensus on Exa:** Building the search engine that powers AI agents. Small team, massive infrastructure ambition, YC pedigree.

Glassdoor: 4

WLB: 3.5

Values

Engineering-Driven, Ship Fast, Product Impact, Flat, Wear Many Hats

#### Pros

-   Building core AI infrastructure used by top labs and enterprises
-   YC-backed, Series B ($85M) — strong growth trajectory
-   Small team with outsized impact on how AI accesses the web

#### Cons

-   Early-stage intensity — fast pace with evolving priorities
-   Limited public reviews — culture transparency still developing
-   San Francisco–centric — most roles require in-office presence

[Full Profile →](https://jobsbyculture.com/companies/exa) [View Jobs →](https://jobsbyculture.com/jobs?company=exa) [Compare →](https://jobsbyculture.com/compare?a=exa)

![Duolingo logo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

## [Duolingo](https://jobsbyculture.com/companies/duolingo)

**The consensus on Duolingo:** The world's most downloaded education app. Strong product culture, collaborative teams, mission-driven work with real scale.

Glassdoor: 4.2

WLB: 3.8

Values

Product Impact, Engineering-Driven, Learning Culture, Social Impact, Ship Fast, Strong Equity

#### Pros

-   World's #1 education app — 800M+ users, genuine social impact
-   Strong product culture with data-driven experimentation (A/B testing everything)
-   Collaborative teams with daily communal lunches — a company-wide tradition

#### Cons

-   Shipping fast is rewarded — can create pressure to work longer hours
-   Comp is ~80% of FAANG for equivalent roles
-   Promotion cycle reduced to 1x per year

[Full Profile →](https://jobsbyculture.com/companies/duolingo) [View Jobs →](https://jobsbyculture.com/jobs?company=duolingo) [Compare →](https://jobsbyculture.com/compare?a=duolingo)

![Flexport logo](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

## [Flexport](https://jobsbyculture.com/companies/flexport)

**The consensus on Flexport:** Entrepreneurial, cross-functional team building the operating system for global trade. Move fast with smart, motivated people.

Glassdoor: 3.5

WLB: 3.6

Values

Ship Fast, Product Impact, Learning & Growth, Engineering-Driven

#### Pros

-   Entrepreneurial culture with motivated, intelligent colleagues
-   Cross-functional global collaboration as a core operating norm
-   Real product impact — building the OS for global trade at scale

#### Cons

-   Multiple rounds of large layoffs since 2022 — job security concerns
-   Top-down decisions; engineering deadlines not based on eng input
-   5-day mandatory return-to-office announced in 2025

[Full Profile →](https://jobsbyculture.com/companies/flexport) [View Jobs →](https://jobsbyculture.com/jobs?company=flexport) [Compare →](https://jobsbyculture.com/compare?a=flexport)

![Chime logo](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

## [Chime](https://jobsbyculture.com/companies/chime)

**The consensus on Chime:** Helping everyday Americans build financial progress. Strong work-life balance, large engineering org, and a mission that actually matters.

Glassdoor: 4

WLB: 4.1

Values

Work-Life Balance, Mission-Driven, Engineering-Driven, Learning & Growth

#### Pros

-   Genuine social impact mission — helping 7M+ Americans with no-fee banking
-   Strong WLB: 4.1/5 Glassdoor score, monthly Take Care of Yourself Days, 16 weeks parental leave
-   Large engineering org (32% of company) with real product ownership

#### Cons

-   Career growth described as "very limited" — promotion paths unclear
-   Recent layoffs via reorgs; leadership clarity on product roadmap questioned
-   Culture reportedly shifting from employee-first to output-extraction

[Full Profile →](https://jobsbyculture.com/companies/chime) [View Jobs →](https://jobsbyculture.com/jobs?company=chime) [Compare →](https://jobsbyculture.com/compare?a=chime)

![Sensor Tower logo](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

## [Sensor Tower](https://jobsbyculture.com/companies/sensor-tower)

**The consensus on Sensor Tower:** Data-rich product for marketers and app developers worldwide. Smart colleagues in a complex analytics domain.

Glassdoor: 3.3

WLB: 3.4

Values

Product Impact, Learning & Growth

#### Pros

-   Data-rich product with real industry influence across mobile, ad tech, and retail media
-   Smart colleagues and complex analytical problems — good domain for data professionals
-   Decent benefits and competitive starting salary

#### Cons

-   Unstable leadership with frequent strategic pivots causing team anxiety
-   Low recommend rate (47%) and cultural toxicity flagged in multiple recent reviews
-   Poor job security — frequent departures and unclear growth expectations

[Full Profile →](https://jobsbyculture.com/companies/sensor-tower) [View Jobs →](https://jobsbyculture.com/jobs?company=sensor-tower) [Compare →](https://jobsbyculture.com/compare?a=sensor-tower)

![Intercom logo](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

## [Intercom](https://jobsbyculture.com/companies/intercom)

**The consensus on Intercom:** Founder-led after 14 years with an active engineering blog. The team ships 180 times a day and genuinely debates ideas openly.

Glassdoor: 3.8

WLB: 3.8

Values

Engineering-Driven, Ship Fast, Product Impact, Learning & Growth

#### Pros

-   Ships code 180 times per day — one of the highest-velocity teams in SaaS
-   Founder-led after 14 years; original vision is still intact
-   Active public engineering blog with deep technical content

#### Cons

-   Hybrid 3-days-in-office policy — not remote-friendly
-   Mid-market salary (

30k– 30k); not top-of-band like pure AI labs-   Smaller company means fewer large-scale infrastructure challenges

[Full Profile →](https://jobsbyculture.com/companies/intercom) [View Jobs →](https://jobsbyculture.com/jobs?company=intercom) [Compare →](https://jobsbyculture.com/compare?a=intercom)

![Instacart logo](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

## [Instacart](https://jobsbyculture.com/companies/instacart)

**The consensus on Instacart:** Complex platform engineering at scale — ML, logistics, and real-time fulfillment. Engineers have outsized impact on products used by millions.

Glassdoor: 3.6

WLB: 3.6

Values

Product Impact, Learning & Growth, Diverse & Inclusive, Strong Equity

#### Pros

-   Top-of-market engineering comp —

20K–$540K TC for engineers (Levels.fyi verified)-   Complex ML/logistics/real-time systems — genuine technical challenge at scale
-   Flex First policy with remote-friendly options across US and Canada

#### Cons

-   Overall employee ratings are below average (3.1/5 on Indeed)
-   Management and career advancement scores are low (2.3–2.4/5)
-   Pay satisfaction is low despite high absolute comp — equity expectations vary

[Full Profile →](https://jobsbyculture.com/companies/instacart) [View Jobs →](https://jobsbyculture.com/jobs?company=instacart) [Compare →](https://jobsbyculture.com/compare?a=instacart)

![Bizzdesign logo](https://www.google.com/s2/favicons?domain=bizzdesign.com&sz=128)

## [Bizzdesign](https://jobsbyculture.com/companies/bizzdesign)

**The consensus on Bizzdesign:** Everything starts with people — transformation doesn't follow a straight line and neither do we.

Glassdoor: 3.8

WLB: 3.8

Values

Learning & Growth, Product Impact, Diverse & Inclusive, Ship Fast

#### Pros

-   Strong FLOW culture values — flexibility, learning, ownership, growth
-   26-year company with 2,000+ customers — stability with innovation

#### Cons

-   Not a pure AI/tech company — enterprise SaaS focus
-   13 open roles currently — smaller hiring volume

[Full Profile →](https://jobsbyculture.com/companies/bizzdesign) [View Jobs →](https://jobsbyculture.com/jobs?company=bizzdesign) [Compare →](https://jobsbyculture.com/compare?a=bizzdesign)

![Figure AI logo](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

## [Figure AI](https://jobsbyculture.com/companies/figureai)

**The consensus on Figure AI:** Building the world's first commercially viable humanoid robot — cutting-edge AI meets physical hardware at unprecedented scale.

Glassdoor: 3.5

WLB: 3.2

Values

Engineering-Driven, Ship Fast, Product Impact, Strong Equity

#### Pros

-   Cutting-edge humanoid robotics — building something genuinely new
-   Competitive pay and strong equity packages
-   Partnerships with NVIDIA, Microsoft, BMW

#### Cons

-   Long work hours — startup intensity is real
-   Some reviews mention toxic dynamics on certain teams
-   Work-life balance is a consistent concern (3.2/5)

[Full Profile →](https://jobsbyculture.com/companies/figureai) [View Jobs →](https://jobsbyculture.com/jobs?company=figureai) [Compare →](https://jobsbyculture.com/compare?a=figureai)

![Twelve Labs logo](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

## [Twelve Labs](https://jobsbyculture.com/companies/twelve-labs)

**The consensus on Twelve Labs:** Flat, collaborative structure across SF and Seoul — building the world's most powerful video understanding AI infrastructure.

Glassdoor: 3.6

WLB: 3.4

Values

Engineering-Driven, Ship Fast, Flat Hierarchy, Product Impact

#### Pros

-   Cutting-edge video understanding AI — unique niche with strong PMF
-   Flat org with real opportunities for growth and impact
-   Passionate, collaborative team across SF and Seoul

#### Cons

-   Pay reported as below average for the market
-   High attrition — the company is 'always hiring'
-   Some reviews cite inexperienced leadership

[Full Profile →](https://jobsbyculture.com/companies/twelve-labs) [View Jobs →](https://jobsbyculture.com/jobs?company=twelve-labs) [Compare →](https://jobsbyculture.com/compare?a=twelve-labs)

![Cartesia logo](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

## [Cartesia](https://jobsbyculture.com/companies/cartesia)

**The consensus on Cartesia:** Excellent founders, enormous talent, and well-thought-through product direction — building the fastest voice AI models in the world.

Glassdoor: 4.5

WLB: 3.5

Values

Engineering-Driven, Ship Fast, Many Hats, Product Impact

#### Pros

-   Excellent founders from Stanford ML research (Albert Gu, Chris Re)
-   Fastest TTS models in the industry — real enterprise traction (

7M revenue)-   Small team with enormous talent density

#### Cons

-   Very fast-paced — comes with higher pressure and stress
-   Only 2 Glassdoor reviews — very limited employee data
-   Early-stage growing pains expected at 91 employees

[Full Profile →](https://jobsbyculture.com/companies/cartesia) [View Jobs →](https://jobsbyculture.com/jobs?company=cartesia) [Compare →](https://jobsbyculture.com/compare?a=cartesia)

![Character AI logo](https://www.google.com/s2/favicons?domain=character.ai&sz=128)

## [Character AI](https://jobsbyculture.com/companies/character)

**The consensus on Character AI:** Smart, talented coworkers building one of the most popular consumer AI apps — but organizational turbulence is real.

Glassdoor: 3.4

WLB: 3

Values

Engineering-Driven, Ship Fast, Product Impact

#### Pros

-   Founded by ex-Google Brain researchers — deep AI expertise
-   One of the most popular consumer AI apps globally
-   Good compensation with 401k match

#### Cons

-   Major layoffs (30%) and leadership churn
-   Only 47% of employees recommend — well below average
-   Work-life balance rated very low by technical staff

[Full Profile →](https://jobsbyculture.com/companies/character) [View Jobs →](https://jobsbyculture.com/jobs?company=character) [Compare →](https://jobsbyculture.com/compare?a=character)

![Stability AI logo](https://www.google.com/s2/favicons?domain=stability.ai&sz=128)

## [Stability AI](https://jobsbyculture.com/companies/stabilityai)

**The consensus on Stability AI:** Fully remote with a 4-day work week — pioneers of open-source generative AI, though leadership stability has been a concern.

Glassdoor: 3.1

WLB: 3.2

Values

Remote, Open Source, Learning & Growth, Product Impact

#### Pros

-   Fully remote with a 4-day work week
-   Pioneers of Stable Diffusion — one of the most impactful open-source AI projects
-   Competitive salary with huge autonomy

#### Cons

-   Leadership and decision-making widely criticized (3.1/5 overall)
-   Organizational chaos — constant restructuring and strategy shifts
-   60% recommend is below average

[Full Profile →](https://jobsbyculture.com/companies/stabilityai) [View Jobs →](https://jobsbyculture.com/jobs?company=stabilityai) [Compare →](https://jobsbyculture.com/compare?a=stabilityai)

![Lightmatter logo](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

## [Lightmatter](https://jobsbyculture.com/companies/lightmatter)

**The consensus on Lightmatter:** Building the photonic supercomputer for AI. First-of-its-kind hardware that uses light instead of electrons — genuinely world-changing engineering.

Glassdoor: 4

WLB: 3.5

Values

Engineering-Driven, Ship Fast, Product Impact, Learning & Growth

#### Pros

-   Genuinely groundbreaking technology — photonic chips for AI compute
-   Collaborative, trusting culture with brilliant colleagues
-   Flat hierarchy with real ownership over projects

#### Cons

-   Startup intensity — can feel like constant crisis mode
-   Pay and benefits cited as below top-tier tech for some roles
-   Rapid growth means processes are still maturing

[Full Profile →](https://jobsbyculture.com/companies/lightmatter) [View Jobs →](https://jobsbyculture.com/jobs?company=lightmatter) [Compare →](https://jobsbyculture.com/compare?a=lightmatter)

![Robinhood logo](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

## [Robinhood](https://jobsbyculture.com/companies/robinhood)

**The consensus on Robinhood:** Engineering-first fintech on a mission to democratize finance. Fast-moving teams with strong comp and genuine mission alignment.

Glassdoor: 3.7

WLB: 3.5

Values

Engineering-Driven, Ship Fast, Strong Equity, Mission-Driven

#### Pros

-   Strong mission — democratizing finance for all, not just the wealthy
-   Excellent compensation and benefits (4.0/5 rated)
-   Engineering is the largest department — engineers have real influence

#### Cons

-   Intense pace — market events and launches can mean long stretches
-   Layoff history has impacted morale and trust in leadership
-   Career growth rated below average (3.3/5)

[Full Profile →](https://jobsbyculture.com/companies/robinhood) [View Jobs →](https://jobsbyculture.com/jobs?company=robinhood) [Compare →](https://jobsbyculture.com/compare?a=robinhood)

![Benchling logo](https://www.google.com/s2/favicons?domain=benchling.com&sz=128)

## [Benchling](https://jobsbyculture.com/companies/benchling)

**The consensus on Benchling:** Scientists and engineers collaborating to modernize life science R&D — mission-driven with strong engineering culture and genuine care for the work.

Glassdoor: 3.5

WLB: 3.6

Values

Engineering-Driven, Mission-Driven, Learning & Growth, Product Impact

#### Pros

-   Deeply mission-driven — accelerating breakthroughs in biotech, gene therapy, and drug discovery
-   Outstanding engineering culture (4.3/5 from SWEs, 95% recommend)
-   Collaborative, scientifically-minded teammates who genuinely care about the work

#### Cons

-   Fast pace with shifting priorities as the company scales
-   Career growth paths still developing — learning is more peer-driven than structured
-   Post-hypergrowth layoffs impacted morale

[Full Profile →](https://jobsbyculture.com/companies/benchling) [View Jobs →](https://jobsbyculture.com/jobs?company=benchling) [Compare →](https://jobsbyculture.com/compare?a=benchling)

![Palantir logo](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

## [Palantir](https://jobsbyculture.com/companies/palantir)

**The consensus on Palantir:** Intense, mission-critical work with the smartest people in the room. Choose Palantir for intellectual challenge and impact — but expect the hours to match.

Glassdoor: 3.7

WLB: 2.8

Values

Engineering-Driven, Product Impact, Strong Equity, Ship Fast

#### Pros

-   Work on mission-critical problems with some of the smartest engineers in tech
-   Strong career opportunities (3.9/5) — accelerated growth for high performers
-   Excellent compensation and equity — stock has 10x'd since IPO

#### Cons

-   Poor work-life balance (2.8/5) — long hours are the norm, not the exception
-   Intense, demanding culture is not for everyone
-   Culture & Values rated 3.4/5 — politics and hierarchy can be frustrating

[Full Profile →](https://jobsbyculture.com/companies/palantir) [View Jobs →](https://jobsbyculture.com/jobs?company=palantir) [Compare →](https://jobsbyculture.com/compare?a=palantir)

![LaunchDarkly logo](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

## [LaunchDarkly](https://jobsbyculture.com/companies/launchdarkly)

**The consensus on LaunchDarkly:** Strong work-life balance with great benefits — the company is stabilizing after leadership changes and picking up steam again.

Glassdoor: 3.8

WLB: 4.1

Values

Engineering-Driven, Work-Life Balance, Product Impact, Learning & Growth

#### Pros

-   Strong work-life balance — managers actively encourage PTO (4.1/5)
-   Excellent benefits package — medical, dental, vision highly rated
-   Feature flags pioneer — category-defining product used by thousands of dev teams

#### Cons

-   Priorities can shift quickly — some teams experience instability
-   65% recommend is below average — recent leadership transitions
-   Culture and values rated 3.6/5 — room for improvement

[Full Profile →](https://jobsbyculture.com/companies/launchdarkly) [View Jobs →](https://jobsbyculture.com/jobs?company=launchdarkly) [Compare →](https://jobsbyculture.com/compare?a=launchdarkly)

![WorkOS logo](https://www.google.com/s2/favicons?domain=workos.com&sz=128)

## [WorkOS](https://jobsbyculture.com/companies/workos)

**The consensus on WorkOS:** Developer-first enterprise auth platform — kindness as an operating principle, strong WLB, and a product engineers love to use.

Glassdoor: 4

WLB: 4.2

Values

Engineering-Driven, Ship Fast, Product Impact, Many Hats

#### Pros

-   Kindness as a core operating principle — genuinely shows in the culture
-   Strong work-life balance rated 4.2/5 by employees
-   Developer-beloved product — enterprise auth that engineers actually enjoy using

#### Cons

-   Small team (~110) means wearing many hats and context-switching
-   Some reviews mention GTM strategy concerns and leadership friction
-   Revenue concentration in a handful of large AI customers

[Full Profile →](https://jobsbyculture.com/companies/workos) [View Jobs →](https://jobsbyculture.com/jobs?company=workos) [Compare →](https://jobsbyculture.com/compare?a=workos)

![Cryptio logo](https://www.google.com/s2/favicons?domain=cryptio.co&sz=128)

## [Cryptio](https://jobsbyculture.com/companies/cryptio)

**The consensus on Cryptio:** Brilliant minds building the definitive enterprise crypto accounting platform — high expectations, high growth, high impact.

Glassdoor: 4

WLB: 3.5

Values

Engineering-Driven, Ship Fast, Product Impact, Many Hats

#### Pros

-   Brilliant, high-caliber team — some of the sharpest minds in crypto infrastructure
-   Culture is a core value — people genuinely want to be here
-   Just raised $45M Series B — strong growth trajectory

#### Cons

-   Crypto is 24/7 — can be hard to switch off
-   EU-heavy team but US timezone expectations
-   Intense environment with high expectations

[Full Profile →](https://jobsbyculture.com/companies/cryptio) [View Jobs →](https://jobsbyculture.com/jobs?company=cryptio) [Compare →](https://jobsbyculture.com/compare?a=cryptio)

![Automattic logo](https://www.google.com/s2/favicons?domain=automattic.com&sz=128)

## [Automattic](https://jobsbyculture.com/companies/automattic)

**The consensus on Automattic:** The original fully distributed company — powering 43% of the web, but facing significant culture challenges.

Glassdoor: 2.9

WLB: 3.8

Values

Remote, Open Source, Learning & Growth

#### Pros

-   Fully distributed since 2005 — one of the most experienced remote companies ever
-   Open-source at the core — WordPress powers 43% of the web
-   Location-independent salaries — pay not reduced by location

#### Cons

-   Overall Glassdoor dropped to 2.9/5 — significant decline
-   Only 40% of employees recommend — well below average
-   Career opportunities rated 2.6/5

[Full Profile →](https://jobsbyculture.com/companies/automattic) [View Jobs →](https://jobsbyculture.com/jobs?company=automattic) [Compare →](https://jobsbyculture.com/compare?a=automattic)

![Tenstorrent logo](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

## [Tenstorrent](https://jobsbyculture.com/companies/tenstorrent)

**The consensus on Tenstorrent:** Build the future of computing under Jim Keller. Flat hierarchy, hard problems, and engineers who ship silicon.

Glassdoor: 3.6

WLB: 3.5

Values

Engineering-Driven, Ship Fast, Flat Hierarchy, Many Hats, Learning & Growth

#### Pros

-   Work on cutting-edge AI chip architecture under legendary CPU designer Jim Keller
-   Flat hierarchy — management described as chill and flexible
-   Challenging, meaningful engineering problems at the hardware/software boundary

#### Cons

-   Intense workload — some reports of long hours and aggressive roadmaps
-   Culture can feel chaotic as the company scales rapidly
-   Mixed reviews on internal collaboration and communication

[Full Profile →](https://jobsbyculture.com/companies/tenstorrent) [View Jobs →](https://jobsbyculture.com/jobs?company=tenstorrent) [Compare →](https://jobsbyculture.com/compare?a=tenstorrent)

![Dropbox logo](https://www.google.com/s2/favicons?domain=dropbox.com&sz=128)

## [Dropbox](https://jobsbyculture.com/companies/dropbox)

**The consensus on Dropbox:** Virtual First pioneer since 2020. Remote-first with Dropbox Studios for in-person collaboration. Strong WLB and comp.

Glassdoor: 3.9

WLB: 4.2

Values

Remote, Work-Life Balance, Engineering-Driven, Learning & Growth, Strong Equity

#### Pros

-   Virtual First pioneer — genuine remote-first since 2020, not lip service
-   Strong work-life balance rated 4.2/5 — managers respect personal time
-   Excellent compensation and benefits rated 4.2/5

#### Cons

-   Frequent re-orgs and layoffs create organizational instability
-   Direction can feel unclear — shifting definitions of success
-   Career opportunities rated 3.5/5 — growth paths not always defined

[Full Profile →](https://jobsbyculture.com/companies/dropbox) [View Jobs →](https://jobsbyculture.com/jobs?company=dropbox) [Compare →](https://jobsbyculture.com/compare?a=dropbox)

![Goodfire logo](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

## [Goodfire](https://jobsbyculture.com/companies/goodfire)

**The consensus on Goodfire:** World-class interpretability research lab backed by Anthropic — reverse-engineering neural networks to make AI safe and controllable.

Glassdoor: 4

WLB: 3.5

Values

Engineering-Driven, Ethical AI, Many Hats, Product Impact

#### Pros

-   World-class research team — ex-OpenAI, DeepMind, Harvard, Stanford
-   Frontier AI interpretability work — making neural networks understandable
-   Public benefit corporation — mission-driven by design

#### Cons

-   Very early stage (~51 people) — expect rapid change and ambiguity
-   No Glassdoor reviews yet — limited visibility into employee experience
-   Interpretability is a niche field — may limit career mobility

[Full Profile →](https://jobsbyculture.com/companies/goodfire) [View Jobs →](https://jobsbyculture.com/jobs?company=goodfire) [Compare →](https://jobsbyculture.com/compare?a=goodfire)

![DevRev logo](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

## [DevRev](https://jobsbyculture.com/companies/devrev)

**The consensus on DevRev:** Founded by Nutanix co-founder Dheeraj Pandey — building an AI-native platform that unifies product, support, and engineering in one system.

Glassdoor: 4.1

WLB: 3.4

Values

Engineering-Driven, Ship Fast, Learning & Growth, Product Impact

#### Pros

-   Unicorn founded by proven SaaS pioneer (Nutanix co-founder)
-   Strong learning culture — global exposure, experimentation encouraged
-   High career opportunity score (3.9/5) — fast growth creates roles

#### Cons

-   Demanding pace — work-life balance scores 3.4/5
-   Fast-paced environment can feel overwhelming for some
-   Global distributed team means cross-timezone coordination

[Full Profile →](https://jobsbyculture.com/companies/devrev) [View Jobs →](https://jobsbyculture.com/jobs?company=devrev) [Compare →](https://jobsbyculture.com/compare?a=devrev)

![Reddit logo](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

## [Reddit](https://jobsbyculture.com/companies/reddit)

**The consensus on Reddit:** The front page of the internet — a public company with a 'Default Open' philosophy, massive engineering scale, and culture shaped by its own community DNA.

Glassdoor: 3.8

WLB: 3.5

Values

Engineering-Driven, Strong Equity, Learning & Growth, Product Impact

#### Pros

-   Public company equity (NYSE: RDDT) with strong compensation (4.1/5)
-   Massive user impact — engineers ship to hundreds of millions of users
-   'Default Open' philosophy with weekly all-hands and internal subreddits

#### Cons

-   Shifting strategies and reorganizations create uncertainty
-   Management quality is inconsistent across teams (3.2 senior mgmt)
-   Recent layoffs and perks reductions alongside evolving priorities

[Full Profile →](https://jobsbyculture.com/companies/reddit) [View Jobs →](https://jobsbyculture.com/jobs?company=reddit) [Compare →](https://jobsbyculture.com/compare?a=reddit)

![Kindred logo](https://www.google.com/s2/favicons?domain=livekindred.com&sz=128)

## [Kindred](https://jobsbyculture.com/companies/kindred)

**The consensus on Kindred:** Ex-Opendoor team backed by a16z and Index Ventures. Small team reinventing how people live and travel through home swapping.

Glassdoor: 3.8

WLB: 3.8

Values

Product Impact, Ship Fast, Engineering-Driven, Wears Many Hats

#### Pros

-   Founded by ex-Opendoor team with proven track record (B+ exit)
-   Backed by a16z, Index Ventures, Bessemer — top-tier investors
-   Small team with direct product impact — every engineer shapes the product

#### Cons

-   Very early-stage — minimal processes and career ladders
-   Small team means wearing many hats and intense pace
-   Limited Glassdoor data — culture hard to assess externally

[Full Profile →](https://jobsbyculture.com/companies/kindred) [View Jobs →](https://jobsbyculture.com/jobs?company=kindred) [Compare →](https://jobsbyculture.com/compare?a=kindred)

---

## Document: 15Five Culture & Jobs | JobsByCulture

# 15Five Culture & Jobs | JobsByCulture

> 15Five culture profile: 3.1 Glassdoor, remote-first, human-centered leadership. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/15five
Markdown: https://jobsbyculture.com/companies/15five.md
Last updated: 2026-07-14

---
![15Five logo](https://www.google.com/s2/favicons?domain=15five.com&sz=128)

# 15Five

Performance Management Platform — Human-Centered Leadership, Fully Remote

The consensus on 15Five: A company that practices what it preaches about employee development and psychological safety. Best for people who want remote flexibility and a strengths-based management culture.

2011

Founded

San Francisco, CA

Headquarters

~240

Employees

Series B

Private

Free Work at 15five? Claim this profile

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Culture Overview

## What it's _really_ like to work at 15Five

15Five literally builds the software that helps other companies create better cultures — and they aim to walk the talk internally. Founded by David Hassell with a mission to unlock human potential at work, the company pioneered the Best-Self Management methodology grounded in positive psychology and psychological safety. As a fully remote team of ~240, they emphasize strengths-based development, continuous feedback, and conscious leadership.

[Psychological Safety](https://jobsbyculture.com/values/psych-safety) [Remote-First](https://jobsbyculture.com/values/remote) [Learning & Growth](https://jobsbyculture.com/values/learning) [Transparent](https://jobsbyculture.com/values/transparent) [Flexible Hours](https://jobsbyculture.com/values/flex-hours) [Mission-Driven](https://jobsbyculture.com/values/social-impact)

Glassdoor Ratings

## 15Five Glassdoor Ratings & _Employee Reviews_

3.1

Overall Glassdoor Score

Based on 217 reviews

Culture & Values 3.2

Work-Life Balance 3.6

Compensation & Benefits 3.6

Career Opportunities 3.0

Senior Management 2.7

Overall Rating 3.1

41% Recommend to a Friend

David Hassell (CEO, Returned Nov 2025)

Employee Review Themes

## Working at 15Five: _Pros & Cons_

### ✓ What employees love

-   ✓ Mission-driven to the core — building software that genuinely helps people thrive at work
-   ✓ Fully remote with real flexibility — no return-to-office pressure
-   ✓ Incredible coworkers — kind, smart, and genuinely caring people
-   ✓ Best-Self Management philosophy creates a strengths-based, growth-oriented environment

### ✗ What could be better

-   ✗ Company went through turbulent leadership changes — founder recently returned as CEO
-   ✗ Multiple rounds of layoffs created uncertainty and eroded trust
-   ✗ Strategy and priorities shifted frequently — talk track changes every 60–75 days
-   ✗ Compensation is below market for some roles, especially engineering

Product & Engineering

## How the _engineering_ team works

#### Tech Stack

Ruby on Rails React Python AI/ML

#### Platform

Performance Management OKRs Employee Engagement

#### AI Investment

Building AI-powered performance management with agentic workflows — the Data Intelligence Platform is a major engineering investment area.

#### Team Structure

Small, autonomous engineering squads. Fully remote with async-friendly practices. Product engineers have high ownership and direct impact on the platform.

Open Positions

## Join the _15Five_ team

Featured roles currently hiring at 15Five.

[View all 15Five careers →](https://www.15five.com/careers?ref=jobsbyculture.com)



🏢

### Claim _15five_

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We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Abridge Glassdoor, Culture & Careers 2026 | JobsByCulture

# Abridge Glassdoor, Culture & Careers 2026 | JobsByCulture

> Abridge company profile: 4.4 Glassdoor, ~500 employees, $150k–$350k comp. Work-life balance, culture reviews, and open careers at the AI clinical documentation company.

Source: https://jobsbyculture.com/companies/abridge
Markdown: https://jobsbyculture.com/companies/abridge.md
Last updated: 2026-07-14

---
![Abridge logo](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

# Abridge

Pioneering AI that transforms patient-clinician conversations into structured clinical documentation — reducing clinician burnout and improving patient care.

The consensus on Abridge: Choose Abridge if you want meaningful healthcare impact with top-tier comp and supportive leadership — but expect intense product pushes and hybrid co-location.

2018

Founded

Pittsburgh

Headquarters

~500

Employees

$5.3B

Valuation (2025)

Free Work at Abridge? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Abridge

Abridge has built something rare in tech: a company where the mission isn't just a tagline but the actual daily motivator. Founded in 2018 by practicing cardiologist Shivdev Rao — who experienced documentation burden firsthand — alongside CMU speech recognition researcher Florian Metze and robotics engineer Sandeep Konam, Abridge's culture is rooted in empathy — for clinicians drowning in paperwork and for the patients whose care suffers as a result.

The engineering culture combines academic rigor (ML researchers, clinical NLU specialists) with startup speed. Teams are small, ownership is real, and the feedback loop from engineer to patient outcome is unusually short. Their blameless postmortem culture and "extreme ownership" philosophy mean people are trusted to make decisions and learn from mistakes.

At 500 employees with $5.3B valuation, Abridge is in the sweet spot — large enough to offer stability and competitive comp, small enough that individual contributions visibly move the needle. The 94% recommendation rate and 4.4 Glassdoor score tell the story: people genuinely love working here.

[Mission-Driven](https://jobsbyculture.com/values/social-impact) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Learning & Growth](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact) [Strong Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Abridge Glassdoor Ratings & _Employee Reviews_

4.4

Overall Glassdoor Score

Based on 65 reviews

Culture & Values 4.4

Work-Life Balance 4.3

Compensation & Benefits 4.4

Career Opportunities 4.5

Overall Rating 4.4

94% Recommend to a Friend

97% CEO Approval

Employee Review Themes

## Working at Abridge: _Pros & Cons_

### ✓ What employees love

-   ✓ Meaningful mission transforming healthcare documentation with AI
-   ✓ Exceptional middle management and supportive leadership
-   ✓ Top-tier compensation and benefits (4.4/5 on Glassdoor)
-   ✓ Blameless, empathy-first culture rooted in patient impact

### ✗ What could be better

-   ✗ Fast pace can lead to intense weeks during product pushes
-   ✗ Third-party vendor dependencies create occasional friction
-   ✗ Hybrid model — co-location expected at SF or NYC hubs
-   ✗ Rapid growth means some processes are still being built

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python PyTorch ASR/NLU Kubernetes

#### Product

AI-powered platform that listens to patient-clinician conversations and generates structured clinical notes, reducing documentation time from hours to seconds.

#### AI & ML

Deep expertise in automatic speech recognition, clinical NLU, and large language models fine-tuned for medical documentation. Research-grade ML with production impact. [See open roles →](https://abridge.com/careers?ref=jobsbyculture.com)

#### Team Structure

Small, cross-functional squads with real ownership. ~500 employees total. Engineers ship features that directly impact clinicians and patients. Blameless postmortems and extreme ownership philosophy.

Culture Fit

## Who _thrives_ at Abridge

### ✓ You'll thrive if you're

-   ✓ An ML engineer or AI researcher passionate about healthcare applications
-   ✓ A full-stack engineer who wants to see their work impact real patients
-   ✓ Someone motivated by mission over pure tech novelty
-   ✓ An engineer comfortable with hybrid work (SF or NYC co-location)

### ✗ Might not be for you if

-   ✗ You're seeking a fully remote lifestyle
-   ✗ You prefer slower, more predictable work cadences
-   ✗ You're looking for pure consumer tech or social products

Open Positions

## Join the _Abridge_ team

Explore open roles at Abridge below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=abridge)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ $300B in Q1 2026: The AI Funding Boom & What It Means for Job Seekers](https://jobsbyculture.com/blog/ai-startup-funding-hiring-2026)
-   [→ 10 Tech Companies That Hire for Emotional Intelligence Over Raw IQ in 2026](https://jobsbyculture.com/blog/companies-that-hire-for-eq-2026)
-   [→ Working at Abridge in 2026: Culture, Compensation & What Employees Say](https://jobsbyculture.com/blog/working-at-abridge-2026)

### Compare Abridge

-   [→ Abridge vs Adyen](https://jobsbyculture.com/compare/abridge-vs-adyen)
-   [→ Abridge vs Airbnb](https://jobsbyculture.com/compare/abridge-vs-airbnb)
-   [→ Abridge vs Airtable](https://jobsbyculture.com/compare/abridge-vs-airtable)
-   [→ Abridge vs Anthropic](https://jobsbyculture.com/compare/abridge-vs-anthropic)
-   [→ Abridge vs Anyscale](https://jobsbyculture.com/compare/abridge-vs-anyscale)
-   [→ Abridge vs Apollo.io](https://jobsbyculture.com/compare/abridge-vs-apollo)
-   [→ Abridge vs Asana](https://jobsbyculture.com/compare/abridge-vs-asana)
-   [→ Abridge vs Baseten](https://jobsbyculture.com/compare/abridge-vs-baseten)
-   [→ Abridge vs Brex](https://jobsbyculture.com/compare/abridge-vs-brex)
-   [→ Abridge vs Celonis](https://jobsbyculture.com/compare/abridge-vs-celonis)
-   [→ Abridge vs Cerebras Systems](https://jobsbyculture.com/compare/abridge-vs-cerebras)
-   [→ Abridge vs Chainguard](https://jobsbyculture.com/compare/abridge-vs-chainguard)
-   [→ Abridge vs Cloudflare](https://jobsbyculture.com/compare/abridge-vs-cloudflare)
-   [→ Abridge vs Cognition AI](https://jobsbyculture.com/compare/abridge-vs-cognition)
-   [→ Abridge vs Cohere](https://jobsbyculture.com/compare/abridge-vs-cohere)
-   [→ Abridge vs Contentful](https://jobsbyculture.com/compare/abridge-vs-contentful)
-   [→ Abridge vs CoreWeave](https://jobsbyculture.com/compare/abridge-vs-coreweave)
-   [→ Abridge vs Cresta](https://jobsbyculture.com/compare/abridge-vs-cresta)
-   [→ Abridge vs Crusoe](https://jobsbyculture.com/compare/abridge-vs-crusoe)
-   [→ Abridge vs Cursor](https://jobsbyculture.com/compare/abridge-vs-cursor)
-   [→ Abridge vs Databricks](https://jobsbyculture.com/compare/abridge-vs-databricks)
-   [→ Abridge vs Datadog](https://jobsbyculture.com/compare/abridge-vs-datadog)
-   [→ Abridge vs Decagon](https://jobsbyculture.com/compare/abridge-vs-decagon)
-   [→ Abridge vs DeepL](https://jobsbyculture.com/compare/abridge-vs-deepl)
-   [→ Abridge vs DeepMind](https://jobsbyculture.com/compare/abridge-vs-deepmind)
-   [→ Abridge vs Descript](https://jobsbyculture.com/compare/abridge-vs-descript)
-   [→ Abridge vs Doctolib](https://jobsbyculture.com/compare/abridge-vs-doctolib)
-   [→ Abridge vs Elastic](https://jobsbyculture.com/compare/abridge-vs-elastic)
-   [→ Abridge vs ElevenLabs](https://jobsbyculture.com/compare/abridge-vs-elevenlabs)
-   [→ Abridge vs Figma](https://jobsbyculture.com/compare/abridge-vs-figma)
-   [→ Abridge vs Fireworks AI](https://jobsbyculture.com/compare/abridge-vs-fireworksai)
-   [→ Abridge vs GitLab](https://jobsbyculture.com/compare/abridge-vs-gitlab)
-   [→ Abridge vs Glean](https://jobsbyculture.com/compare/abridge-vs-glean)
-   [→ Abridge vs Grafana Labs](https://jobsbyculture.com/compare/abridge-vs-grafanalabs)
-   [→ Abridge vs Granola](https://jobsbyculture.com/compare/abridge-vs-granola)
-   [→ Abridge vs Harvey AI](https://jobsbyculture.com/compare/abridge-vs-harvey)
-   [→ Abridge vs Hebbia](https://jobsbyculture.com/compare/abridge-vs-hebbia)
-   [→ Abridge vs Helsing](https://jobsbyculture.com/compare/abridge-vs-helsing)
-   [→ Abridge vs HubSpot](https://jobsbyculture.com/compare/abridge-vs-hubspot)
-   [→ Abridge vs Hugging Face](https://jobsbyculture.com/compare/abridge-vs-huggingface)
-   [→ Abridge vs incident.io](https://jobsbyculture.com/compare/abridge-vs-incidentio)
-   [→ Abridge vs Labelbox](https://jobsbyculture.com/compare/abridge-vs-labelbox)
-   [→ Abridge vs Lambda](https://jobsbyculture.com/compare/abridge-vs-lambda)
-   [→ Abridge vs LangChain](https://jobsbyculture.com/compare/abridge-vs-langchain)
-   [→ Abridge vs Linear](https://jobsbyculture.com/compare/abridge-vs-linear)
-   [→ Abridge vs Lovable](https://jobsbyculture.com/compare/abridge-vs-lovable)
-   [→ Abridge vs Mercor](https://jobsbyculture.com/compare/abridge-vs-mercor)
-   [→ Abridge vs Mercury](https://jobsbyculture.com/compare/abridge-vs-mercury)
-   [→ Abridge vs Mistral AI](https://jobsbyculture.com/compare/abridge-vs-mistral)
-   [→ Abridge vs Modal](https://jobsbyculture.com/compare/abridge-vs-modal)
-   [→ Abridge vs MongoDB](https://jobsbyculture.com/compare/abridge-vs-mongodb)
-   [→ Abridge vs n8n](https://jobsbyculture.com/compare/abridge-vs-n8n)
-   [→ Abridge vs Navan](https://jobsbyculture.com/compare/abridge-vs-navan)
-   [→ Abridge vs Notion](https://jobsbyculture.com/compare/abridge-vs-notion)
-   [→ Abridge vs OpenAI](https://jobsbyculture.com/compare/abridge-vs-openai)
-   [→ Abridge vs Perplexity AI](https://jobsbyculture.com/compare/abridge-vs-perplexity)
-   [→ Abridge vs Pinecone](https://jobsbyculture.com/compare/abridge-vs-pinecone)
-   [→ Abridge vs Plaid](https://jobsbyculture.com/compare/abridge-vs-plaid)
-   [→ Abridge vs Poolside AI](https://jobsbyculture.com/compare/abridge-vs-poolside)
-   [→ Abridge vs PostHog](https://jobsbyculture.com/compare/abridge-vs-posthog)
-   [→ Abridge vs Pylon](https://jobsbyculture.com/compare/abridge-vs-pylon)
-   [→ Abridge vs Ramp](https://jobsbyculture.com/compare/abridge-vs-ramp)
-   [→ Abridge vs Replit](https://jobsbyculture.com/compare/abridge-vs-replit)
-   [→ Abridge vs Runway](https://jobsbyculture.com/compare/abridge-vs-runway)
-   [→ Abridge vs Samsara](https://jobsbyculture.com/compare/abridge-vs-samsara)
-   [→ Abridge vs Scale AI](https://jobsbyculture.com/compare/abridge-vs-scale)
-   [→ Abridge vs Sierra AI](https://jobsbyculture.com/compare/abridge-vs-sierra)
-   [→ Abridge vs Snowflake](https://jobsbyculture.com/compare/abridge-vs-snowflake)
-   [→ Abridge vs Stripe](https://jobsbyculture.com/compare/abridge-vs-stripe)
-   [→ Abridge vs Suno](https://jobsbyculture.com/compare/abridge-vs-suno)
-   [→ Abridge vs Supabase](https://jobsbyculture.com/compare/abridge-vs-supabase)
-   [→ Abridge vs Synthesia](https://jobsbyculture.com/compare/abridge-vs-synthesia)
-   [→ Abridge vs Tailscale](https://jobsbyculture.com/compare/abridge-vs-tailscale)
-   [→ Abridge vs Together AI](https://jobsbyculture.com/compare/abridge-vs-together)
-   [→ Abridge vs Twilio](https://jobsbyculture.com/compare/abridge-vs-twilio)
-   [→ Abridge vs Vanta](https://jobsbyculture.com/compare/abridge-vs-vanta)
-   [→ Abridge vs Vast AI](https://jobsbyculture.com/compare/abridge-vs-vast)
-   [→ Abridge vs Vercel](https://jobsbyculture.com/compare/abridge-vs-vercel)
-   [→ Abridge vs Wayve](https://jobsbyculture.com/compare/abridge-vs-wayve)
-   [→ Abridge vs Weaviate](https://jobsbyculture.com/compare/abridge-vs-weaviate)
-   [→ Abridge vs Webflow](https://jobsbyculture.com/compare/abridge-vs-webflow)
-   [→ Abridge vs Writer](https://jobsbyculture.com/compare/abridge-vs-writer)



🏢

### Claim _Abridge_

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We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Adyen Culture & Jobs | JobsByCulture

# Adyen Culture & Jobs | JobsByCulture

> Adyen engineering culture: 3.8 Glassdoor, 4.1 WLB, public payments tech (AMS: ADYEN). See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/adyen
Markdown: https://jobsbyculture.com/companies/adyen.md
Last updated: 2026-07-14

---
![Adyen logo](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

# Adyen

Global Payments Technology — The Financial Infrastructure Behind Commerce (AMS: ADYEN)

The consensus on Adyen: Smart, humble colleagues in a flat, trust-based culture powered by the "Adyen Formula" — but compensation trails peers by ~20% and management growing pains are real at scale.

2006

Founded

Amsterdam

Headquarters

~5,400

Employees

Public

AMS: ADYEN

Free Work at Adyen? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Adyen

Adyen is an Amsterdam-headquartered global payments platform processing transactions for companies like Uber, Spotify, and Microsoft. The company runs on the "Adyen Formula" — flat communications, launch fast, no email culture. Engineers describe a trust-based environment with smart colleagues who genuinely care about the product. The culture prizes speed and ownership, though comp runs ~20% below Big Tech peers and rapid scaling has exposed management gaps.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Work-Life Balance](https://jobsbyculture.com/values/wlb) [Product Impact](https://jobsbyculture.com/values/product-impact) [Learning](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Adyen Glassdoor Ratings & _Employee Reviews_

3.8

Overall Glassdoor Score

Based on employee reviews

Culture & Values 4.0

Compensation & Benefits 3.4

Senior Management 3.5

Career Opportunities 3.7

Work-Life Balance 4.1

Overall Rating 3.8

72% Recommend to a Friend

Employee Review Themes

## Working at Adyen: _Pros & Cons_

### ✓ What employees love

-   ✓Smart, humble colleagues who genuinely collaborate and share knowledge
-   ✓Good work-life balance with trust-based culture and real flexibility
-   ✓The "Adyen Formula" — flat comms, no email culture, launch fast mentality
-   ✓Real product impact at global scale — powering payments for the world's biggest brands

### ✗ What could be better

-   ✗Below-market compensation — ~20% less than Big Tech peers
-   ✗Management issues at scale — growing pains as the company expands
-   ✗Some teams feel stretched thin with limited resources despite strong revenue

Open Positions

## Join the _Adyen_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=adyen)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Layoffs 2026: 61,000+ Jobs Cut — Who's Actually Hiring](https://jobsbyculture.com/blog/ai-layoffs-2026-who-is-hiring)
-   [→ OpenAI's $122B Round: What It Means for AI Jobs & Who's Hiring](https://jobsbyculture.com/blog/openai-122b-funding-ai-jobs-2026)
-   [→ Oracle Layoffs 2026: 30,000 Jobs Cut — Where to Look Next Based on Culture](https://jobsbyculture.com/blog/oracle-layoffs-2026)

### Compare Adyen

-   [→ Adyen vs Abridge](https://jobsbyculture.com/compare/abridge-vs-adyen)
-   [→ Adyen vs Airbnb](https://jobsbyculture.com/compare/adyen-vs-airbnb)
-   [→ Adyen vs Airtable](https://jobsbyculture.com/compare/adyen-vs-airtable)
-   [→ Adyen vs Anthropic](https://jobsbyculture.com/compare/adyen-vs-anthropic)
-   [→ Adyen vs Anyscale](https://jobsbyculture.com/compare/adyen-vs-anyscale)
-   [→ Adyen vs Apollo.io](https://jobsbyculture.com/compare/adyen-vs-apollo)
-   [→ Adyen vs Asana](https://jobsbyculture.com/compare/adyen-vs-asana)
-   [→ Adyen vs Baseten](https://jobsbyculture.com/compare/adyen-vs-baseten)
-   [→ Adyen vs Brex](https://jobsbyculture.com/compare/adyen-vs-brex)
-   [→ Adyen vs Celonis](https://jobsbyculture.com/compare/adyen-vs-celonis)
-   [→ Adyen vs Cerebras Systems](https://jobsbyculture.com/compare/adyen-vs-cerebras)
-   [→ Adyen vs Chainguard](https://jobsbyculture.com/compare/adyen-vs-chainguard)
-   [→ Adyen vs Cloudflare](https://jobsbyculture.com/compare/adyen-vs-cloudflare)
-   [→ Adyen vs Cognition AI](https://jobsbyculture.com/compare/adyen-vs-cognition)
-   [→ Adyen vs Cohere](https://jobsbyculture.com/compare/adyen-vs-cohere)
-   [→ Adyen vs Contentful](https://jobsbyculture.com/compare/adyen-vs-contentful)
-   [→ Adyen vs CoreWeave](https://jobsbyculture.com/compare/adyen-vs-coreweave)
-   [→ Adyen vs Cresta](https://jobsbyculture.com/compare/adyen-vs-cresta)
-   [→ Adyen vs Crusoe](https://jobsbyculture.com/compare/adyen-vs-crusoe)
-   [→ Adyen vs Cursor](https://jobsbyculture.com/compare/adyen-vs-cursor)
-   [→ Adyen vs Databricks](https://jobsbyculture.com/compare/adyen-vs-databricks)
-   [→ Adyen vs Datadog](https://jobsbyculture.com/compare/adyen-vs-datadog)
-   [→ Adyen vs Decagon](https://jobsbyculture.com/compare/adyen-vs-decagon)
-   [→ Adyen vs DeepL](https://jobsbyculture.com/compare/adyen-vs-deepl)
-   [→ Adyen vs DeepMind](https://jobsbyculture.com/compare/adyen-vs-deepmind)
-   [→ Adyen vs Descript](https://jobsbyculture.com/compare/adyen-vs-descript)
-   [→ Adyen vs Doctolib](https://jobsbyculture.com/compare/adyen-vs-doctolib)
-   [→ Adyen vs Elastic](https://jobsbyculture.com/compare/adyen-vs-elastic)
-   [→ Adyen vs ElevenLabs](https://jobsbyculture.com/compare/adyen-vs-elevenlabs)
-   [→ Adyen vs Figma](https://jobsbyculture.com/compare/adyen-vs-figma)
-   [→ Adyen vs Fireworks AI](https://jobsbyculture.com/compare/adyen-vs-fireworksai)
-   [→ Adyen vs GitLab](https://jobsbyculture.com/compare/adyen-vs-gitlab)
-   [→ Adyen vs Glean](https://jobsbyculture.com/compare/adyen-vs-glean)
-   [→ Adyen vs Grafana Labs](https://jobsbyculture.com/compare/adyen-vs-grafanalabs)
-   [→ Adyen vs Granola](https://jobsbyculture.com/compare/adyen-vs-granola)
-   [→ Adyen vs Harvey AI](https://jobsbyculture.com/compare/adyen-vs-harvey)
-   [→ Adyen vs Hebbia](https://jobsbyculture.com/compare/adyen-vs-hebbia)
-   [→ Adyen vs Helsing](https://jobsbyculture.com/compare/adyen-vs-helsing)
-   [→ Adyen vs HubSpot](https://jobsbyculture.com/compare/adyen-vs-hubspot)
-   [→ Adyen vs Hugging Face](https://jobsbyculture.com/compare/adyen-vs-huggingface)
-   [→ Adyen vs incident.io](https://jobsbyculture.com/compare/adyen-vs-incidentio)
-   [→ Adyen vs Labelbox](https://jobsbyculture.com/compare/adyen-vs-labelbox)
-   [→ Adyen vs Lambda](https://jobsbyculture.com/compare/adyen-vs-lambda)
-   [→ Adyen vs LangChain](https://jobsbyculture.com/compare/adyen-vs-langchain)
-   [→ Adyen vs Linear](https://jobsbyculture.com/compare/adyen-vs-linear)
-   [→ Adyen vs Lovable](https://jobsbyculture.com/compare/adyen-vs-lovable)
-   [→ Adyen vs Mercor](https://jobsbyculture.com/compare/adyen-vs-mercor)
-   [→ Adyen vs Mercury](https://jobsbyculture.com/compare/adyen-vs-mercury)
-   [→ Adyen vs Mistral AI](https://jobsbyculture.com/compare/adyen-vs-mistral)
-   [→ Adyen vs Modal](https://jobsbyculture.com/compare/adyen-vs-modal)
-   [→ Adyen vs MongoDB](https://jobsbyculture.com/compare/adyen-vs-mongodb)
-   [→ Adyen vs n8n](https://jobsbyculture.com/compare/adyen-vs-n8n)
-   [→ Adyen vs Navan](https://jobsbyculture.com/compare/adyen-vs-navan)
-   [→ Adyen vs Notion](https://jobsbyculture.com/compare/adyen-vs-notion)
-   [→ Adyen vs OpenAI](https://jobsbyculture.com/compare/adyen-vs-openai)
-   [→ Adyen vs Perplexity AI](https://jobsbyculture.com/compare/adyen-vs-perplexity)
-   [→ Adyen vs Pinecone](https://jobsbyculture.com/compare/adyen-vs-pinecone)
-   [→ Adyen vs Plaid](https://jobsbyculture.com/compare/adyen-vs-plaid)
-   [→ Adyen vs Poolside AI](https://jobsbyculture.com/compare/adyen-vs-poolside)
-   [→ Adyen vs PostHog](https://jobsbyculture.com/compare/adyen-vs-posthog)
-   [→ Adyen vs Pylon](https://jobsbyculture.com/compare/adyen-vs-pylon)
-   [→ Adyen vs Ramp](https://jobsbyculture.com/compare/adyen-vs-ramp)
-   [→ Adyen vs Replit](https://jobsbyculture.com/compare/adyen-vs-replit)
-   [→ Adyen vs Runway](https://jobsbyculture.com/compare/adyen-vs-runway)
-   [→ Adyen vs Samsara](https://jobsbyculture.com/compare/adyen-vs-samsara)
-   [→ Adyen vs Scale AI](https://jobsbyculture.com/compare/adyen-vs-scale)
-   [→ Adyen vs Sierra AI](https://jobsbyculture.com/compare/adyen-vs-sierra)
-   [→ Adyen vs Snowflake](https://jobsbyculture.com/compare/adyen-vs-snowflake)
-   [→ Adyen vs Stripe](https://jobsbyculture.com/compare/adyen-vs-stripe)
-   [→ Adyen vs Suno](https://jobsbyculture.com/compare/adyen-vs-suno)
-   [→ Adyen vs Supabase](https://jobsbyculture.com/compare/adyen-vs-supabase)
-   [→ Adyen vs Synthesia](https://jobsbyculture.com/compare/adyen-vs-synthesia)
-   [→ Adyen vs Tailscale](https://jobsbyculture.com/compare/adyen-vs-tailscale)
-   [→ Adyen vs Together AI](https://jobsbyculture.com/compare/adyen-vs-together)
-   [→ Adyen vs Twilio](https://jobsbyculture.com/compare/adyen-vs-twilio)
-   [→ Adyen vs Vanta](https://jobsbyculture.com/compare/adyen-vs-vanta)
-   [→ Adyen vs Vast AI](https://jobsbyculture.com/compare/adyen-vs-vast)
-   [→ Adyen vs Vercel](https://jobsbyculture.com/compare/adyen-vs-vercel)
-   [→ Adyen vs Wayve](https://jobsbyculture.com/compare/adyen-vs-wayve)
-   [→ Adyen vs Weaviate](https://jobsbyculture.com/compare/adyen-vs-weaviate)
-   [→ Adyen vs Webflow](https://jobsbyculture.com/compare/adyen-vs-webflow)
-   [→ Adyen vs Writer](https://jobsbyculture.com/compare/adyen-vs-writer)

🏢

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---

## Document: Airbnb Culture & Jobs | JobsByCulture

# Airbnb Culture & Jobs | JobsByCulture

> Airbnb engineering culture: 4.1 Glassdoor, Live and Work Anywhere policy, open source pioneers. See 209 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/airbnb
Markdown: https://jobsbyculture.com/companies/airbnb.md
Last updated: 2026-07-14

---
![Airbnb logo](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

# Airbnb

Global Travel Technology Company — Pioneering the Sharing Economy

The consensus on Airbnb: Choose Airbnb if you want genuine remote flexibility and travel perks — but promotions are slow and bureaucracy is growing.

2008

Founded

San Francisco

Headquarters

~8,200

Employees

247

Open Roles

Free Work at Airbnb? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## Live and work _anywhere_

Airbnb redefined travel by creating the world's largest community-driven accommodation platform, and they've applied that same innovative spirit to how they build their workplace. Since 2022, their groundbreaking "Live and Work Anywhere" policy allows employees to live anywhere in their country of employment with no change to compensation — one of the most progressive remote work policies in tech. The engineering culture is deeply rooted in open source, with contributions like Lottie, Apache Airflow, and 200+ public repositories.

[Remote-Friendly](https://jobsbyculture.com/values/remote) [Work-Life Balance](https://jobsbyculture.com/values/wlb) [Diverse & Inclusive](https://jobsbyculture.com/values/diverse) [Open Source](https://jobsbyculture.com/values/open-source) [Strong Comp & Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Airbnb Glassdoor Ratings & _Employee Reviews_

4.1

Overall Glassdoor Score

Based on 5,000 reviews

Culture & Values 4.2

Work-Life Balance 4.0

Compensation & Benefits 4.2

Career Opportunities 3.5

Senior Management 3.5

Overall Rating 4.1

80% Recommend to a Friend

87% CEO Approval (Brian Chesky)

Employee Review Themes

## Working at Airbnb: _Pros & Cons_

### ✓ What employees love

-   ✓ Live and Work Anywhere policy — genuine remote flexibility with no pay cuts, plus quarterly in-person gatherings
-   ✓ Strong compensation and benefits — competitive pay, quarterly travel credits, annual educational stipends, and excellent healthcare
-   ✓ Amazing people and collaborative culture — employees consistently praise the caliber of their colleagues
-   ✓ Strong company mission and brand — working on a product people genuinely love with a "belonging anywhere" mission
-   ✓ Good work-life balance — flexible schedules, limited mandatory in-office time, respect for personal time

### ✗ What could be better

-   ✗ Limited career growth — promotions are slow and senior positions frequently filled externally rather than promoted from within
-   ✗ Internal politics at mid-to-senior levels — decision-making influenced by alignments rather than performance
-   ✗ Senior management rated 3.5/5 — some disorganized procedures and micromanagement from top leadership
-   ✗ Post-IPO cultural decline — increasing corporate bureaucracy, declining benefits compared to pre-IPO era
-   ✗ Accountability gaps — some employees describe an "every man for himself" environment in certain teams

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Java Ruby JavaScript TypeScript Kotlin Swift

#### Open Source & Research

200+ public repositories including Lottie, Apache Airflow, Visx, and Epoxy. One of the most active open-source contributors in the industry.

#### Design & Product

Design-led culture with a proprietary Design Language System (DLS). CEO Brian Chesky models his leadership on Steve Jobs' obsession with product details.

#### Team Structure

Cross-functional teams with strong engineering-design collaboration. Live and Work Anywhere policy for all employees.

Open Positions

## Join the _Airbnb_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=airbnb)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ AI Jobs in Paris 2026: 170 Roles at Mistral, Datadog, Hugging Face & 10 More Companies](https://jobsbyculture.com/blog/ai-jobs-paris-2026)
-   [→ AI Layoffs 2026: 61,000+ Jobs Cut — Who's Actually Hiring](https://jobsbyculture.com/blog/ai-layoffs-2026-who-is-hiring)
-   [→ Airbnb Salary 2026: $290K–$876K TC, Public RSUs & Live Anywhere Policy](https://jobsbyculture.com/blog/airbnb-compensation-2026)

### Compare Airbnb

-   [→ Airbnb vs Abridge](https://jobsbyculture.com/compare/abridge-vs-airbnb)
-   [→ Airbnb vs Adyen](https://jobsbyculture.com/compare/adyen-vs-airbnb)
-   [→ Airbnb vs Airtable](https://jobsbyculture.com/compare/airbnb-vs-airtable)
-   [→ Airbnb vs Anthropic](https://jobsbyculture.com/compare/airbnb-vs-anthropic)
-   [→ Airbnb vs Anyscale](https://jobsbyculture.com/compare/airbnb-vs-anyscale)
-   [→ Airbnb vs Apollo.io](https://jobsbyculture.com/compare/airbnb-vs-apollo)
-   [→ Airbnb vs Asana](https://jobsbyculture.com/compare/airbnb-vs-asana)
-   [→ Airbnb vs Baseten](https://jobsbyculture.com/compare/airbnb-vs-baseten)
-   [→ Airbnb vs Brex](https://jobsbyculture.com/compare/airbnb-vs-brex)
-   [→ Airbnb vs Celonis](https://jobsbyculture.com/compare/airbnb-vs-celonis)
-   [→ Airbnb vs Cerebras Systems](https://jobsbyculture.com/compare/airbnb-vs-cerebras)
-   [→ Airbnb vs Chainguard](https://jobsbyculture.com/compare/airbnb-vs-chainguard)
-   [→ Airbnb vs Cloudflare](https://jobsbyculture.com/compare/airbnb-vs-cloudflare)
-   [→ Airbnb vs Cognition AI](https://jobsbyculture.com/compare/airbnb-vs-cognition)
-   [→ Airbnb vs Cohere](https://jobsbyculture.com/compare/airbnb-vs-cohere)
-   [→ Airbnb vs Contentful](https://jobsbyculture.com/compare/airbnb-vs-contentful)
-   [→ Airbnb vs CoreWeave](https://jobsbyculture.com/compare/airbnb-vs-coreweave)
-   [→ Airbnb vs Cresta](https://jobsbyculture.com/compare/airbnb-vs-cresta)
-   [→ Airbnb vs Crusoe](https://jobsbyculture.com/compare/airbnb-vs-crusoe)
-   [→ Airbnb vs Cursor](https://jobsbyculture.com/compare/airbnb-vs-cursor)
-   [→ Airbnb vs Databricks](https://jobsbyculture.com/compare/airbnb-vs-databricks)
-   [→ Airbnb vs Datadog](https://jobsbyculture.com/compare/airbnb-vs-datadog)
-   [→ Airbnb vs Decagon](https://jobsbyculture.com/compare/airbnb-vs-decagon)
-   [→ Airbnb vs DeepL](https://jobsbyculture.com/compare/airbnb-vs-deepl)
-   [→ Airbnb vs DeepMind](https://jobsbyculture.com/compare/airbnb-vs-deepmind)
-   [→ Airbnb vs Descript](https://jobsbyculture.com/compare/airbnb-vs-descript)
-   [→ Airbnb vs Doctolib](https://jobsbyculture.com/compare/airbnb-vs-doctolib)
-   [→ Airbnb vs Elastic](https://jobsbyculture.com/compare/airbnb-vs-elastic)
-   [→ Airbnb vs ElevenLabs](https://jobsbyculture.com/compare/airbnb-vs-elevenlabs)
-   [→ Airbnb vs Figma](https://jobsbyculture.com/compare/airbnb-vs-figma)
-   [→ Airbnb vs Fireworks AI](https://jobsbyculture.com/compare/airbnb-vs-fireworksai)
-   [→ Airbnb vs GitLab](https://jobsbyculture.com/compare/airbnb-vs-gitlab)
-   [→ Airbnb vs Glean](https://jobsbyculture.com/compare/airbnb-vs-glean)
-   [→ Airbnb vs Grafana Labs](https://jobsbyculture.com/compare/airbnb-vs-grafanalabs)
-   [→ Airbnb vs Granola](https://jobsbyculture.com/compare/airbnb-vs-granola)
-   [→ Airbnb vs Harvey AI](https://jobsbyculture.com/compare/airbnb-vs-harvey)
-   [→ Airbnb vs Hebbia](https://jobsbyculture.com/compare/airbnb-vs-hebbia)
-   [→ Airbnb vs Helsing](https://jobsbyculture.com/compare/airbnb-vs-helsing)
-   [→ Airbnb vs HubSpot](https://jobsbyculture.com/compare/airbnb-vs-hubspot)
-   [→ Airbnb vs Hugging Face](https://jobsbyculture.com/compare/airbnb-vs-huggingface)
-   [→ Airbnb vs incident.io](https://jobsbyculture.com/compare/airbnb-vs-incidentio)
-   [→ Airbnb vs Labelbox](https://jobsbyculture.com/compare/airbnb-vs-labelbox)
-   [→ Airbnb vs Lambda](https://jobsbyculture.com/compare/airbnb-vs-lambda)
-   [→ Airbnb vs LangChain](https://jobsbyculture.com/compare/airbnb-vs-langchain)
-   [→ Airbnb vs Linear](https://jobsbyculture.com/compare/airbnb-vs-linear)
-   [→ Airbnb vs Lovable](https://jobsbyculture.com/compare/airbnb-vs-lovable)
-   [→ Airbnb vs Mercor](https://jobsbyculture.com/compare/airbnb-vs-mercor)
-   [→ Airbnb vs Mercury](https://jobsbyculture.com/compare/airbnb-vs-mercury)
-   [→ Airbnb vs Mistral AI](https://jobsbyculture.com/compare/airbnb-vs-mistral)
-   [→ Airbnb vs Modal](https://jobsbyculture.com/compare/airbnb-vs-modal)
-   [→ Airbnb vs MongoDB](https://jobsbyculture.com/compare/airbnb-vs-mongodb)
-   [→ Airbnb vs n8n](https://jobsbyculture.com/compare/airbnb-vs-n8n)
-   [→ Airbnb vs Navan](https://jobsbyculture.com/compare/airbnb-vs-navan)
-   [→ Airbnb vs Notion](https://jobsbyculture.com/compare/airbnb-vs-notion)
-   [→ Airbnb vs OpenAI](https://jobsbyculture.com/compare/airbnb-vs-openai)
-   [→ Airbnb vs Perplexity AI](https://jobsbyculture.com/compare/airbnb-vs-perplexity)
-   [→ Airbnb vs Pinecone](https://jobsbyculture.com/compare/airbnb-vs-pinecone)
-   [→ Airbnb vs Plaid](https://jobsbyculture.com/compare/airbnb-vs-plaid)
-   [→ Airbnb vs Poolside AI](https://jobsbyculture.com/compare/airbnb-vs-poolside)
-   [→ Airbnb vs PostHog](https://jobsbyculture.com/compare/airbnb-vs-posthog)
-   [→ Airbnb vs Pylon](https://jobsbyculture.com/compare/airbnb-vs-pylon)
-   [→ Airbnb vs Ramp](https://jobsbyculture.com/compare/airbnb-vs-ramp)
-   [→ Airbnb vs Replit](https://jobsbyculture.com/compare/airbnb-vs-replit)
-   [→ Airbnb vs Runway](https://jobsbyculture.com/compare/airbnb-vs-runway)
-   [→ Airbnb vs Samsara](https://jobsbyculture.com/compare/airbnb-vs-samsara)
-   [→ Airbnb vs Scale AI](https://jobsbyculture.com/compare/airbnb-vs-scale)
-   [→ Airbnb vs Sierra AI](https://jobsbyculture.com/compare/airbnb-vs-sierra)
-   [→ Airbnb vs Snowflake](https://jobsbyculture.com/compare/airbnb-vs-snowflake)
-   [→ Airbnb vs Stripe](https://jobsbyculture.com/compare/airbnb-vs-stripe)
-   [→ Airbnb vs Suno](https://jobsbyculture.com/compare/airbnb-vs-suno)
-   [→ Airbnb vs Supabase](https://jobsbyculture.com/compare/airbnb-vs-supabase)
-   [→ Airbnb vs Synthesia](https://jobsbyculture.com/compare/airbnb-vs-synthesia)
-   [→ Airbnb vs Tailscale](https://jobsbyculture.com/compare/airbnb-vs-tailscale)
-   [→ Airbnb vs Together AI](https://jobsbyculture.com/compare/airbnb-vs-together)
-   [→ Airbnb vs Twilio](https://jobsbyculture.com/compare/airbnb-vs-twilio)
-   [→ Airbnb vs uber](https://jobsbyculture.com/compare/airbnb-vs-uber)
-   [→ Airbnb vs Vanta](https://jobsbyculture.com/compare/airbnb-vs-vanta)
-   [→ Airbnb vs Vast AI](https://jobsbyculture.com/compare/airbnb-vs-vast)
-   [→ Airbnb vs Vercel](https://jobsbyculture.com/compare/airbnb-vs-vercel)
-   [→ Airbnb vs Wayve](https://jobsbyculture.com/compare/airbnb-vs-wayve)
-   [→ Airbnb vs Weaviate](https://jobsbyculture.com/compare/airbnb-vs-weaviate)
-   [→ Airbnb vs Webflow](https://jobsbyculture.com/compare/airbnb-vs-webflow)
-   [→ Airbnb vs Writer](https://jobsbyculture.com/compare/airbnb-vs-writer)
-   [→ Airbnb vs Stripe](https://jobsbyculture.com/compare/stripe-vs-airbnb)



🏢

### Claim _Airbnb_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Airtable Culture & Jobs | JobsByCulture

# Airtable Culture & Jobs | JobsByCulture

> Airtable engineering culture: 3.8 Glassdoor, remote-friendly, product impact. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/airtable
Markdown: https://jobsbyculture.com/companies/airtable.md
Last updated: 2026-07-14

---
![Airtable logo](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

# Airtable

Low-Code Platform for Building Collaborative Apps & Workflows

The consensus on Airtable: Choose Airtable if you want strong engineering culture, real product impact at scale, and good WLB — but expect some post-restructuring growing pains and leadership uncertainty.

2012

Founded

San Francisco, CA

HQ

~900

Employees

$11.7B

Valuation (2021)

Free Work at Airtable? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Airtable

Founded in 2012 by Howie Liu, Andrew Ofstad, and Emmett Nicholas, Airtable has become the leading low-code platform for building collaborative apps and automating workflows. The company has dedicated culture ambassadors who plan office events and build community. Engineers work on a platform used by 450,000+ organizations including Netflix, Shopify, and NASA. After a 2023 restructuring to focus on enterprise, Airtable is leaner and more focused.

[Product Impact](https://jobsbyculture.com/values/product-impact) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Learning & Growth](https://jobsbyculture.com/values/learning) [Diverse & Inclusive](https://jobsbyculture.com/values/diverse)

Glassdoor Ratings

## Airtable Glassdoor Ratings & _Employee Reviews_

3.8

Overall Glassdoor Score

Based on 240 reviews

Culture & Values 3.7

Compensation & Benefits 4.2

Senior Management 3.5

Career Opportunities 3.7

Work-Life Balance 3.9

Overall Rating 3.8

71% Recommend to a Friend

67% CEO Approval (Howie Liu)

Employee Review Themes

## Working at Airtable: _Pros & Cons_

### ✓ What employees love

-   ✓ Dedicated culture ambassadors organize events and build genuine community
-   ✓ Good work-life balance (3.9/5) with remote-friendly options and comprehensive benefits
-   ✓ Build a platform used by 450,000+ organizations — real product impact at scale
-   ✓ Competitive compensation with strong equity packages

### ✗ What could be better

-   ✗ Post-layoff culture has been impacted — some report declining morale since 2023 restructuring
-   ✗ Communication from leadership could improve — management quality varies by team
-   ✗ Senior management rated 3.5/5 — direction and transparency could be stronger
-   ✗ Valuation pressure after significant down-round expectations may affect equity value

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

TypeScript React Node.js Java PostgreSQL Redis Kubernetes

#### Open Source & Research

Active contributor to React ecosystem and collaborative computing tools. Engineers work on real-time collaboration infrastructure serving 450,000+ organizations.

#### Engineering Blog

Covers distributed systems, real-time collaboration, and platform engineering. [Read the blog →](https://blog.airtable.com?ref=jobsbyculture.com)

#### Team Structure

Cross-functional squads with strong engineering ownership. Engineers work closely with product on features used by enterprises including Netflix, Shopify, and NASA.

Open Positions

## Join the _Airtable_ team

... open positions.

🌐 Remote

✕ Clear

[See all Airtable jobs →](https://jobsbyculture.com/jobs?company=airtable)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ AI Jobs in Paris 2026: 170 Roles at Mistral, Datadog, Hugging Face & 10 More Companies](https://jobsbyculture.com/blog/ai-jobs-paris-2026)
-   [→ Airtable Interview Prep (2026): What the Loop Actually Looks Like](https://jobsbyculture.com/blog/airtable-interview-prep-2026)
-   [→ 50+ Culture-Fit Interview Questions That Actually Predict Fit (2026)](https://jobsbyculture.com/blog/culture-fit-interview-questions)

### Compare Airtable

-   [→ Airtable vs Abridge](https://jobsbyculture.com/compare/abridge-vs-airtable)
-   [→ Airtable vs Adyen](https://jobsbyculture.com/compare/adyen-vs-airtable)
-   [→ Airtable vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-airtable)
-   [→ Airtable vs Anthropic](https://jobsbyculture.com/compare/airtable-vs-anthropic)
-   [→ Airtable vs Anyscale](https://jobsbyculture.com/compare/airtable-vs-anyscale)
-   [→ Airtable vs Apollo.io](https://jobsbyculture.com/compare/airtable-vs-apollo)
-   [→ Airtable vs Asana](https://jobsbyculture.com/compare/airtable-vs-asana)
-   [→ Airtable vs Baseten](https://jobsbyculture.com/compare/airtable-vs-baseten)
-   [→ Airtable vs Brex](https://jobsbyculture.com/compare/airtable-vs-brex)
-   [→ Airtable vs Celonis](https://jobsbyculture.com/compare/airtable-vs-celonis)
-   [→ Airtable vs Cerebras Systems](https://jobsbyculture.com/compare/airtable-vs-cerebras)
-   [→ Airtable vs Chainguard](https://jobsbyculture.com/compare/airtable-vs-chainguard)
-   [→ Airtable vs Cloudflare](https://jobsbyculture.com/compare/airtable-vs-cloudflare)
-   [→ Airtable vs Cognition AI](https://jobsbyculture.com/compare/airtable-vs-cognition)
-   [→ Airtable vs Cohere](https://jobsbyculture.com/compare/airtable-vs-cohere)
-   [→ Airtable vs Contentful](https://jobsbyculture.com/compare/airtable-vs-contentful)
-   [→ Airtable vs CoreWeave](https://jobsbyculture.com/compare/airtable-vs-coreweave)
-   [→ Airtable vs Cresta](https://jobsbyculture.com/compare/airtable-vs-cresta)
-   [→ Airtable vs Crusoe](https://jobsbyculture.com/compare/airtable-vs-crusoe)
-   [→ Airtable vs Cursor](https://jobsbyculture.com/compare/airtable-vs-cursor)
-   [→ Airtable vs Databricks](https://jobsbyculture.com/compare/airtable-vs-databricks)
-   [→ Airtable vs Datadog](https://jobsbyculture.com/compare/airtable-vs-datadog)
-   [→ Airtable vs Decagon](https://jobsbyculture.com/compare/airtable-vs-decagon)
-   [→ Airtable vs DeepL](https://jobsbyculture.com/compare/airtable-vs-deepl)
-   [→ Airtable vs DeepMind](https://jobsbyculture.com/compare/airtable-vs-deepmind)
-   [→ Airtable vs Descript](https://jobsbyculture.com/compare/airtable-vs-descript)
-   [→ Airtable vs Doctolib](https://jobsbyculture.com/compare/airtable-vs-doctolib)
-   [→ Airtable vs Elastic](https://jobsbyculture.com/compare/airtable-vs-elastic)
-   [→ Airtable vs ElevenLabs](https://jobsbyculture.com/compare/airtable-vs-elevenlabs)
-   [→ Airtable vs Figma](https://jobsbyculture.com/compare/airtable-vs-figma)
-   [→ Airtable vs Fireworks AI](https://jobsbyculture.com/compare/airtable-vs-fireworksai)
-   [→ Airtable vs GitLab](https://jobsbyculture.com/compare/airtable-vs-gitlab)
-   [→ Airtable vs Glean](https://jobsbyculture.com/compare/airtable-vs-glean)
-   [→ Airtable vs Grafana Labs](https://jobsbyculture.com/compare/airtable-vs-grafanalabs)
-   [→ Airtable vs Granola](https://jobsbyculture.com/compare/airtable-vs-granola)
-   [→ Airtable vs Harvey AI](https://jobsbyculture.com/compare/airtable-vs-harvey)
-   [→ Airtable vs Hebbia](https://jobsbyculture.com/compare/airtable-vs-hebbia)
-   [→ Airtable vs Helsing](https://jobsbyculture.com/compare/airtable-vs-helsing)
-   [→ Airtable vs HubSpot](https://jobsbyculture.com/compare/airtable-vs-hubspot)
-   [→ Airtable vs Hugging Face](https://jobsbyculture.com/compare/airtable-vs-huggingface)
-   [→ Airtable vs incident.io](https://jobsbyculture.com/compare/airtable-vs-incidentio)
-   [→ Airtable vs Labelbox](https://jobsbyculture.com/compare/airtable-vs-labelbox)
-   [→ Airtable vs Lambda](https://jobsbyculture.com/compare/airtable-vs-lambda)
-   [→ Airtable vs LangChain](https://jobsbyculture.com/compare/airtable-vs-langchain)
-   [→ Airtable vs Linear](https://jobsbyculture.com/compare/airtable-vs-linear)
-   [→ Airtable vs Lovable](https://jobsbyculture.com/compare/airtable-vs-lovable)
-   [→ Airtable vs Mercor](https://jobsbyculture.com/compare/airtable-vs-mercor)
-   [→ Airtable vs Mercury](https://jobsbyculture.com/compare/airtable-vs-mercury)
-   [→ Airtable vs Mistral AI](https://jobsbyculture.com/compare/airtable-vs-mistral)
-   [→ Airtable vs Modal](https://jobsbyculture.com/compare/airtable-vs-modal)
-   [→ Airtable vs MongoDB](https://jobsbyculture.com/compare/airtable-vs-mongodb)
-   [→ Airtable vs n8n](https://jobsbyculture.com/compare/airtable-vs-n8n)
-   [→ Airtable vs Navan](https://jobsbyculture.com/compare/airtable-vs-navan)
-   [→ Airtable vs Notion](https://jobsbyculture.com/compare/airtable-vs-notion)
-   [→ Airtable vs OpenAI](https://jobsbyculture.com/compare/airtable-vs-openai)
-   [→ Airtable vs Perplexity AI](https://jobsbyculture.com/compare/airtable-vs-perplexity)
-   [→ Airtable vs Pinecone](https://jobsbyculture.com/compare/airtable-vs-pinecone)
-   [→ Airtable vs Plaid](https://jobsbyculture.com/compare/airtable-vs-plaid)
-   [→ Airtable vs Poolside AI](https://jobsbyculture.com/compare/airtable-vs-poolside)
-   [→ Airtable vs PostHog](https://jobsbyculture.com/compare/airtable-vs-posthog)
-   [→ Airtable vs Pylon](https://jobsbyculture.com/compare/airtable-vs-pylon)
-   [→ Airtable vs Ramp](https://jobsbyculture.com/compare/airtable-vs-ramp)
-   [→ Airtable vs Replit](https://jobsbyculture.com/compare/airtable-vs-replit)
-   [→ Airtable vs Runway](https://jobsbyculture.com/compare/airtable-vs-runway)
-   [→ Airtable vs Samsara](https://jobsbyculture.com/compare/airtable-vs-samsara)
-   [→ Airtable vs Scale AI](https://jobsbyculture.com/compare/airtable-vs-scale)
-   [→ Airtable vs Sierra AI](https://jobsbyculture.com/compare/airtable-vs-sierra)
-   [→ Airtable vs Snowflake](https://jobsbyculture.com/compare/airtable-vs-snowflake)
-   [→ Airtable vs Stripe](https://jobsbyculture.com/compare/airtable-vs-stripe)
-   [→ Airtable vs Suno](https://jobsbyculture.com/compare/airtable-vs-suno)
-   [→ Airtable vs Supabase](https://jobsbyculture.com/compare/airtable-vs-supabase)
-   [→ Airtable vs Synthesia](https://jobsbyculture.com/compare/airtable-vs-synthesia)
-   [→ Airtable vs Tailscale](https://jobsbyculture.com/compare/airtable-vs-tailscale)
-   [→ Airtable vs Together AI](https://jobsbyculture.com/compare/airtable-vs-together)
-   [→ Airtable vs Twilio](https://jobsbyculture.com/compare/airtable-vs-twilio)
-   [→ Airtable vs Vanta](https://jobsbyculture.com/compare/airtable-vs-vanta)
-   [→ Airtable vs Vast AI](https://jobsbyculture.com/compare/airtable-vs-vast)
-   [→ Airtable vs Vercel](https://jobsbyculture.com/compare/airtable-vs-vercel)
-   [→ Airtable vs Wayve](https://jobsbyculture.com/compare/airtable-vs-wayve)
-   [→ Airtable vs Weaviate](https://jobsbyculture.com/compare/airtable-vs-weaviate)
-   [→ Airtable vs Webflow](https://jobsbyculture.com/compare/airtable-vs-webflow)
-   [→ Airtable vs Writer](https://jobsbyculture.com/compare/airtable-vs-writer)



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## Document: Amplitude Glassdoor, Culture & Careers 2026 | JobsByCulture

# Amplitude Glassdoor, Culture & Careers 2026 | JobsByCulture

> Amplitude company profile: 3.8 Glassdoor, ~780 employees, $150k–$300k comp. Work-life balance, culture reviews, and open careers at the product analytics leader.

Source: https://jobsbyculture.com/companies/amplitude
Markdown: https://jobsbyculture.com/companies/amplitude.md
Last updated: 2026-07-14

---
![Amplitude logo](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

# Amplitude

The Product Analytics Platform Powering 2,600+ Digital Products

The consensus on Amplitude: Strong comp, solid work-life balance, and meaningful product impact — but be ready for leadership churn and shifting priorities as the company navigates post-IPO growth.

2012

Founded

San Francisco

Headquarters

~780

Employees

NYSE: AMPL

Public Since 2021

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Culture Overview

## What it's _really_ like to work at Amplitude

Founded in 2012 by Spenser Skates, Curtis Liu, and Jeffrey Wang, Amplitude built the product analytics platform that companies like PayPal, Walmart, and NBC rely on to understand user behavior. The engineering culture emphasizes extreme ownership — engineers don't just build features, they own the data infrastructure that powers product decisions at thousands of companies. Compensation is competitive (rated 4.4/5 by employees), and work-life balance is genuinely strong at 3.9/5. The trade-off: post-IPO leadership changes have created strategic churn, with priorities shifting every few months.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Learning & Growth](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact) [Strong Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Amplitude Glassdoor Ratings & _Employee Reviews_

3.8

Overall Glassdoor Score

Based on 262 reviews

Culture & Values 3.7

Work-Life Balance 3.9

Compensation & Benefits 4.4

Career Opportunities 3.6

Senior Management 3.1

Overall Rating 3.8

61% Recommend to a Friend

59% Positive Business Outlook

Employee Review Themes

## Working at Amplitude: _Pros & Cons_

### ✓ What employees love

-   ✓ Competitive compensation and benefits — rated 4.4/5 by employees with strong equity packages
-   ✓ Solid work-life balance (3.9/5) with flexible vacation and wellness stipends
-   ✓ Smart, collaborative colleagues — employees consistently praise the quality of their teammates
-   ✓ Real product impact — engineers build analytics infrastructure used by 2,600+ companies

### ✗ What could be better

-   ✗ Frequent leadership changes — C-suite has churned significantly in the last 2 years
-   ✗ Shifting priorities every 3-4 months makes it hard to maintain focus on long-term projects
-   ✗ Post-IPO growing pains — layoffs and restructuring since 2023 have affected morale
-   ✗ Senior management rated lowest at 3.1/5 — employees want clearer strategic direction

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python Java React TypeScript Kafka Spark

#### Product

Digital analytics platform processing billions of events daily. Real-time behavioral analytics, experimentation, and CDP powering product decisions at scale.

#### Data & Infrastructure

Massive-scale event processing pipeline. Engineers work on real-time streaming, data warehousing, and ML-powered insights that handle billions of user events per day.

#### Team Structure

~780 employees across 8 global offices. Engineers own features end-to-end with an emphasis on autonomy and extreme ownership of their product areas.

Open Positions

## Join the _Amplitude_ team

Explore open roles at Amplitude below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=amplitude)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Best AI & Tech Companies for Engineers in 2026](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)

### Similar Companies

-   [→ Datadog](https://jobsbyculture.com/companies/datadog)
-   [→ PostHog](https://jobsbyculture.com/companies/posthog)
-   [→ Samsara](https://jobsbyculture.com/companies/samsara)



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## Document: Anthropic Culture & Jobs | JobsByCulture

# Anthropic Culture & Jobs | JobsByCulture

> Anthropic engineering culture: 4.4 Glassdoor, $300k-$759k TC, AI safety mission. See 409 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/anthropic
Markdown: https://jobsbyculture.com/companies/anthropic.md
Last updated: 2026-07-14

---
![Anthropic logo](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

# Anthropic

AI Safety Research Lab — Building Reliable, Interpretable AI Systems

The consensus on Anthropic: Choose Anthropic if you want genuine AI safety mission, elite comp, and high autonomy — but expect intense hours.

2021

Founded

San Francisco

Headquarters

~5,000

Employees

$965B

Valuation (2026)

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Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Anthropic

Founded in 2021 by Dario Amodei, Daniela Amodei, Jared Kaplan, Jack Clark, Sam McCandlish, Benjamin Mann, Chris Olah, and Tom Brown — all former members of OpenAI — Anthropic is an AI safety research lab that takes its mission seriously. The culture is intensely research-driven, with a flat hierarchy where engineers and researchers have outsized autonomy. Expect smart, low-ego coworkers who are genuinely focused on building safe AI systems rather than chasing hype.

[Ethical AI](https://jobsbyculture.com/values/ethical-ai) [Learning](https://jobsbyculture.com/values/learning) [Equity](https://jobsbyculture.com/values/equity) [Social Impact](https://jobsbyculture.com/values/social-impact) [Eng-Driven](https://jobsbyculture.com/values/eng-driven)

Glassdoor Ratings

## Anthropic Glassdoor Ratings & _Employee Reviews_

4.4

Overall Glassdoor Score

Based on 222 reviews

Culture & Values 4.5

Compensation & Benefits 4.8

Senior Management 4.2

Career Opportunities 4.0

Work-Life Balance 3.7

Overall Rating 4.4

95% Recommend to a Friend

93% CEO Approval (Dario Amodei)

Employee Review Themes

## Working at Anthropic: _Pros & Cons_

### ✓ What employees love

-   ✓ Mission-driven to the core, not marketing — the safety focus is genuine and deeply embedded
-   ✓ Incredible autonomy and ownership, even for mid-level engineers
-   ✓ Top-tier compensation: $300k–$759k TC for engineers
-   ✓ Smart, humble, low-ego coworkers who genuinely care about the work
-   ✓ Cutting-edge research: Claude, Constitutional AI, and interpretability work

### ✗ What could be better

-   ✗ High-intensity environment — extended work hours are common during peak periods
-   ✗ Processes still catching up to hypergrowth; some things feel ad-hoc
-   ✗ Some teams lack clear career ladders or promotion criteria
-   ✗ SF-heavy despite “remote-friendly” label — remote employees can feel out of the loop

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python Rust JAX PyTorch

#### Open Source & Research

Publishes peer-reviewed research papers regularly. Claude API and SDK are open. Active in the AI safety research community.

#### Engineering Blog

Maintains an active engineering blog with deep dives on Constitutional AI, RLHF, and interpretability techniques. [Read the research →](https://www.anthropic.com/research?ref=jobsbyculture.com)

#### Team Structure

Flat, research-lab-style organization. Small, autonomous teams with high ownership. Engineers are expected to drive projects end-to-end.

Open Positions

## Join the _Anthropic_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=anthropic)

Explore More

## Related _content_

### Blog Posts

-   [→ Agentic AI Jobs Grew 280% in 2026 — The Roles, Salaries & Companies Hiring Now](https://jobsbyculture.com/blog/agentic-ai-hiring-boom-2026)
-   [→ AI Agent Memory Systems: A 2026 Engineering Guide (Letta, LangMem, Mem0, Zep)](https://jobsbyculture.com/blog/ai-agent-memory-systems-guide-2026)
-   [→ AI Agents Are Replacing SaaS — What It Means for Tech Careers in 2026](https://jobsbyculture.com/blog/ai-agents-replacing-saas-2026)
-   [→ How AI Coding Tools Are Reshaping Developer Hiring in 2026](https://jobsbyculture.com/blog/ai-coding-tools-reshaping-developer-hiring-2026)
-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)

### Compare Anthropic

-   [→ Anthropic vs Abridge](https://jobsbyculture.com/compare/abridge-vs-anthropic)
-   [→ Anthropic vs Adyen](https://jobsbyculture.com/compare/adyen-vs-anthropic)
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-   [→ Anthropic vs Airtable](https://jobsbyculture.com/compare/airtable-vs-anthropic)
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-   [→ Anthropic vs Cerebras Systems](https://jobsbyculture.com/compare/anthropic-vs-cerebras)
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-   [→ Anthropic vs Databricks](https://jobsbyculture.com/compare/anthropic-vs-databricks)
-   [→ Anthropic vs Datadog](https://jobsbyculture.com/compare/anthropic-vs-datadog)
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-   [→ Anthropic vs DeepL](https://jobsbyculture.com/compare/anthropic-vs-deepl)
-   [→ Anthropic vs DeepMind](https://jobsbyculture.com/compare/anthropic-vs-deepmind)
-   [→ Anthropic vs Descript](https://jobsbyculture.com/compare/anthropic-vs-descript)
-   [→ Anthropic vs Doctolib](https://jobsbyculture.com/compare/anthropic-vs-doctolib)
-   [→ Anthropic vs Elastic](https://jobsbyculture.com/compare/anthropic-vs-elastic)
-   [→ Anthropic vs ElevenLabs](https://jobsbyculture.com/compare/anthropic-vs-elevenlabs)
-   [→ Anthropic vs Figma](https://jobsbyculture.com/compare/anthropic-vs-figma)
-   [→ Anthropic vs Fireworks AI](https://jobsbyculture.com/compare/anthropic-vs-fireworksai)
-   [→ Anthropic vs GitLab](https://jobsbyculture.com/compare/anthropic-vs-gitlab)
-   [→ Anthropic vs Glean](https://jobsbyculture.com/compare/anthropic-vs-glean)
-   [→ Anthropic vs google](https://jobsbyculture.com/compare/anthropic-vs-google)
-   [→ Anthropic vs Grafana Labs](https://jobsbyculture.com/compare/anthropic-vs-grafanalabs)
-   [→ Anthropic vs Granola](https://jobsbyculture.com/compare/anthropic-vs-granola)
-   [→ Anthropic vs Harvey AI](https://jobsbyculture.com/compare/anthropic-vs-harvey)
-   [→ Anthropic vs Hebbia](https://jobsbyculture.com/compare/anthropic-vs-hebbia)
-   [→ Anthropic vs Helsing](https://jobsbyculture.com/compare/anthropic-vs-helsing)
-   [→ Anthropic vs HubSpot](https://jobsbyculture.com/compare/anthropic-vs-hubspot)
-   [→ Anthropic vs Hugging Face](https://jobsbyculture.com/compare/anthropic-vs-huggingface)
-   [→ Anthropic vs incident.io](https://jobsbyculture.com/compare/anthropic-vs-incidentio)
-   [→ Anthropic vs Labelbox](https://jobsbyculture.com/compare/anthropic-vs-labelbox)
-   [→ Anthropic vs Lambda](https://jobsbyculture.com/compare/anthropic-vs-lambda)
-   [→ Anthropic vs LangChain](https://jobsbyculture.com/compare/anthropic-vs-langchain)
-   [→ Anthropic vs Linear](https://jobsbyculture.com/compare/anthropic-vs-linear)
-   [→ Anthropic vs Lovable](https://jobsbyculture.com/compare/anthropic-vs-lovable)
-   [→ Anthropic vs Mercor](https://jobsbyculture.com/compare/anthropic-vs-mercor)
-   [→ Anthropic vs Mercury](https://jobsbyculture.com/compare/anthropic-vs-mercury)
-   [→ Anthropic vs meta](https://jobsbyculture.com/compare/anthropic-vs-meta)
-   [→ Anthropic vs Mistral AI](https://jobsbyculture.com/compare/anthropic-vs-mistral)
-   [→ Anthropic vs Modal](https://jobsbyculture.com/compare/anthropic-vs-modal)
-   [→ Anthropic vs MongoDB](https://jobsbyculture.com/compare/anthropic-vs-mongodb)
-   [→ Anthropic vs n8n](https://jobsbyculture.com/compare/anthropic-vs-n8n)
-   [→ Anthropic vs Navan](https://jobsbyculture.com/compare/anthropic-vs-navan)
-   [→ Anthropic vs Notion](https://jobsbyculture.com/compare/anthropic-vs-notion)
-   [→ Anthropic vs OpenAI](https://jobsbyculture.com/compare/anthropic-vs-openai)
-   [→ Anthropic vs Perplexity AI](https://jobsbyculture.com/compare/anthropic-vs-perplexity)
-   [→ Anthropic vs Pinecone](https://jobsbyculture.com/compare/anthropic-vs-pinecone)
-   [→ Anthropic vs Plaid](https://jobsbyculture.com/compare/anthropic-vs-plaid)
-   [→ Anthropic vs Poolside AI](https://jobsbyculture.com/compare/anthropic-vs-poolside)
-   [→ Anthropic vs PostHog](https://jobsbyculture.com/compare/anthropic-vs-posthog)
-   [→ Anthropic vs Pylon](https://jobsbyculture.com/compare/anthropic-vs-pylon)
-   [→ Anthropic vs Ramp](https://jobsbyculture.com/compare/anthropic-vs-ramp)
-   [→ Anthropic vs Replit](https://jobsbyculture.com/compare/anthropic-vs-replit)
-   [→ Anthropic vs Runway](https://jobsbyculture.com/compare/anthropic-vs-runway)
-   [→ Anthropic vs Samsara](https://jobsbyculture.com/compare/anthropic-vs-samsara)
-   [→ Anthropic vs Scale AI](https://jobsbyculture.com/compare/anthropic-vs-scale)
-   [→ Anthropic vs Sierra AI](https://jobsbyculture.com/compare/anthropic-vs-sierra)
-   [→ Anthropic vs Snowflake](https://jobsbyculture.com/compare/anthropic-vs-snowflake)
-   [→ Anthropic vs Stripe](https://jobsbyculture.com/compare/anthropic-vs-stripe)
-   [→ Anthropic vs Suno](https://jobsbyculture.com/compare/anthropic-vs-suno)
-   [→ Anthropic vs Supabase](https://jobsbyculture.com/compare/anthropic-vs-supabase)
-   [→ Anthropic vs Synthesia](https://jobsbyculture.com/compare/anthropic-vs-synthesia)
-   [→ Anthropic vs Tailscale](https://jobsbyculture.com/compare/anthropic-vs-tailscale)
-   [→ Anthropic vs Together AI](https://jobsbyculture.com/compare/anthropic-vs-together)
-   [→ Anthropic vs Twilio](https://jobsbyculture.com/compare/anthropic-vs-twilio)
-   [→ Anthropic vs Vanta](https://jobsbyculture.com/compare/anthropic-vs-vanta)
-   [→ Anthropic vs Vast AI](https://jobsbyculture.com/compare/anthropic-vs-vast)
-   [→ Anthropic vs Vercel](https://jobsbyculture.com/compare/anthropic-vs-vercel)
-   [→ Anthropic vs Wayve](https://jobsbyculture.com/compare/anthropic-vs-wayve)
-   [→ Anthropic vs Weaviate](https://jobsbyculture.com/compare/anthropic-vs-weaviate)
-   [→ Anthropic vs Webflow](https://jobsbyculture.com/compare/anthropic-vs-webflow)
-   [→ Anthropic vs Writer](https://jobsbyculture.com/compare/anthropic-vs-writer)



🏢

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## Document: Anyscale Culture & Jobs | JobsByCulture

# Anyscale Culture & Jobs | JobsByCulture

> Anyscale culture profile: 4.2 Glassdoor, engineering-driven, open-source, flat structure. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/anyscale
Markdown: https://jobsbyculture.com/companies/anyscale.md
Last updated: 2026-07-14

---
![Anyscale logo](https://www.google.com/s2/favicons?domain=anyscale.com&sz=128)

# Anyscale

The company behind Ray · San Francisco

[⚙️ Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [🔓 Open Source](https://jobsbyculture.com/values/open-source) [📐 Flat Structure](https://jobsbyculture.com/values/flat) [🚀 Ship Fast](https://jobsbyculture.com/values/ship-fast)

**Work at Anyscale?** Claim this profile to update your company's culture info, respond to reviews, and highlight what makes your team unique.

"World-class engineering team working on hard distributed systems problems with real impact on AI infrastructure."

4.2

Glassdoor Rating

3.8/5

Work-Life Balance

~400

Company Size

🇺🇸

San Francisco

### What people love

-   Work on foundational AI infrastructure used by top labs
-   Strong open-source culture around Ray ecosystem

### What to consider

-   Fast pace can lead to shifting priorities
-   Startup growing pains as company scales

## Company Details

Size

Medium (~400)

Work-Life Balance

3.8/5

Location

🇺🇸 San Francisco

Glassdoor

4.2 / 5

## Employee Reviews

#### 👍 What employees say (Pros)

-   Brilliant colleagues from top companies
-   Direct impact on AI/ML ecosystem

#### 👎 What employees say (Cons)

-   Context switching between projects
-   Documentation can lag behind development

Based on Glassdoor reviews

[View Open Roles at Anyscale](https://www.anyscale.com/careers?ref=jobsbyculture.com)

---

## Document: Apollo.io Culture & Jobs | JobsByCulture

# Apollo.io Culture & Jobs | JobsByCulture

> Apollo.io engineering culture: 3.8 Glassdoor, AI-powered sales intelligence platform ($1.6B unicorn). See 40 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/apollo
Markdown: https://jobsbyculture.com/companies/apollo.md
Last updated: 2026-07-14

---
![Apollo.io logo](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

# Apollo.io

AI-Powered Go-to-Market Platform — Sales Intelligence for 500k+ Companies

The consensus on Apollo.io: Choose Apollo.io if you want best-in-class sales intelligence with competitive comp — but leadership can be hands-on.

2015

Founded

San Francisco

Headquarters

~1,600

Employees

$1.6B

Valuation

Free Work at Apollo.io? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Apollo.io

Founded in 2015 by Tim Zheng, Ray Li, and Roy Chung out of Y Combinator (W16), Apollo.io has grown into the leading AI-powered go-to-market platform — used by 500,000+ companies including Autodesk and DocuSign. Approaching $200M ARR and growing fast, the culture is high-velocity and product-led. Engineering teams ship rapidly with a TypeScript/React/Node/Rails stack. The company is remote-first with teams across the US, UK, India, Poland, Mexico, and the Philippines. Expect a fast-paced, high-ownership environment where product impact is measured weekly.

[Ship Fast](https://jobsbyculture.com/values/ship-fast) [Remote-First](https://jobsbyculture.com/values/remote) [Product Impact](https://jobsbyculture.com/values/product-impact) [Learning](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Apollo.io Glassdoor Ratings & _Employee Reviews_

3.8

Overall Glassdoor Score

Based on ~260 reviews

Culture & Values 4.0

Compensation & Benefits 4.1

Senior Management 3.6

Career Opportunities 4.1

Work-Life Balance 3.5

Overall Rating 3.8

77% Recommend to a Friend

81% CEO Approval (Matt Curl)

Employee Review Themes

## Working at Apollo.io: _Pros & Cons_

### ✓ What employees love

-   ✓ Strong product-market fit — best-in-class sales intelligence platform that’s easy to believe in
-   ✓ Competitive compensation with RSUs, performance bonuses, and paid health insurance
-   ✓ Talented, collaborative colleagues across engineering, product, and GTM teams
-   ✓ Rapid career growth in a high-growth environment — approaching $200M ARR and expanding fast
-   ✓ Remote-first flexibility with global team, unlimited PTO, and in-person offsites

### ✗ What could be better

-   ✗ Some reports of leadership involvement in granular decisions and frequent strategic pivots
-   ✗ Work-life balance challenges under high-growth pressure — extended hours and weekly tracking
-   ✗ Management quality varies across teams — some managers praised, others less experienced
-   ✗ Limited visibility into company-wide strategy for some mid-level contributors

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

TypeScript React Node.js Ruby on Rails Python Elasticsearch

#### GTM Platform

B2B database of 275M+ contacts across 73M+ companies. AI-powered prospecting, multi-channel engagement, and workflow automation. Apollo AI assistant with 50k+ weekly active users.

#### Open Source

Maintains [public repos](https://github.com/apolloio?ref=jobsbyculture.com) including Chewy (Elasticsearch framework), Sidekiq fork, MCP plugin, and API docs. [Engineering blog →](https://www.apollo.io/blog/?ref=jobsbyculture.com)

#### Team Structure

~157 engineers across cross-entity search, email tracking, scoring, and mobile teams. Product-led growth combined with sales-led motion. Remote-first across US, India, Poland, and Mexico.

Open Positions

## Join the _Apollo.io_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=apollo)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)
-   [→ AI Employer Brand Benchmarks 2026: Median 4.2 Glassdoor, 3.8 WLB Across 118 Companies](https://jobsbyculture.com/blog/employer-brand-benchmarks-ai-2026)

### Compare Apollo.io

-   [→ Apollo.io vs Abridge](https://jobsbyculture.com/compare/abridge-vs-apollo)
-   [→ Apollo.io vs Adyen](https://jobsbyculture.com/compare/adyen-vs-apollo)
-   [→ Apollo.io vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-apollo)
-   [→ Apollo.io vs Airtable](https://jobsbyculture.com/compare/airtable-vs-apollo)
-   [→ Apollo.io vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-apollo)
-   [→ Apollo.io vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-apollo)
-   [→ Apollo.io vs Asana](https://jobsbyculture.com/compare/apollo-vs-asana)
-   [→ Apollo.io vs Baseten](https://jobsbyculture.com/compare/apollo-vs-baseten)
-   [→ Apollo.io vs Brex](https://jobsbyculture.com/compare/apollo-vs-brex)
-   [→ Apollo.io vs Celonis](https://jobsbyculture.com/compare/apollo-vs-celonis)
-   [→ Apollo.io vs Cerebras Systems](https://jobsbyculture.com/compare/apollo-vs-cerebras)
-   [→ Apollo.io vs Chainguard](https://jobsbyculture.com/compare/apollo-vs-chainguard)
-   [→ Apollo.io vs Cloudflare](https://jobsbyculture.com/compare/apollo-vs-cloudflare)
-   [→ Apollo.io vs Cognition AI](https://jobsbyculture.com/compare/apollo-vs-cognition)
-   [→ Apollo.io vs Cohere](https://jobsbyculture.com/compare/apollo-vs-cohere)
-   [→ Apollo.io vs Contentful](https://jobsbyculture.com/compare/apollo-vs-contentful)
-   [→ Apollo.io vs CoreWeave](https://jobsbyculture.com/compare/apollo-vs-coreweave)
-   [→ Apollo.io vs Cresta](https://jobsbyculture.com/compare/apollo-vs-cresta)
-   [→ Apollo.io vs Crusoe](https://jobsbyculture.com/compare/apollo-vs-crusoe)
-   [→ Apollo.io vs Cursor](https://jobsbyculture.com/compare/apollo-vs-cursor)
-   [→ Apollo.io vs Databricks](https://jobsbyculture.com/compare/apollo-vs-databricks)
-   [→ Apollo.io vs Datadog](https://jobsbyculture.com/compare/apollo-vs-datadog)
-   [→ Apollo.io vs Decagon](https://jobsbyculture.com/compare/apollo-vs-decagon)
-   [→ Apollo.io vs DeepL](https://jobsbyculture.com/compare/apollo-vs-deepl)
-   [→ Apollo.io vs DeepMind](https://jobsbyculture.com/compare/apollo-vs-deepmind)
-   [→ Apollo.io vs Descript](https://jobsbyculture.com/compare/apollo-vs-descript)
-   [→ Apollo.io vs Doctolib](https://jobsbyculture.com/compare/apollo-vs-doctolib)
-   [→ Apollo.io vs Elastic](https://jobsbyculture.com/compare/apollo-vs-elastic)
-   [→ Apollo.io vs ElevenLabs](https://jobsbyculture.com/compare/apollo-vs-elevenlabs)
-   [→ Apollo.io vs Figma](https://jobsbyculture.com/compare/apollo-vs-figma)
-   [→ Apollo.io vs Fireworks AI](https://jobsbyculture.com/compare/apollo-vs-fireworksai)
-   [→ Apollo.io vs GitLab](https://jobsbyculture.com/compare/apollo-vs-gitlab)
-   [→ Apollo.io vs Glean](https://jobsbyculture.com/compare/apollo-vs-glean)
-   [→ Apollo.io vs Grafana Labs](https://jobsbyculture.com/compare/apollo-vs-grafanalabs)
-   [→ Apollo.io vs Granola](https://jobsbyculture.com/compare/apollo-vs-granola)
-   [→ Apollo.io vs Harvey AI](https://jobsbyculture.com/compare/apollo-vs-harvey)
-   [→ Apollo.io vs Hebbia](https://jobsbyculture.com/compare/apollo-vs-hebbia)
-   [→ Apollo.io vs Helsing](https://jobsbyculture.com/compare/apollo-vs-helsing)
-   [→ Apollo.io vs HubSpot](https://jobsbyculture.com/compare/apollo-vs-hubspot)
-   [→ Apollo.io vs Hugging Face](https://jobsbyculture.com/compare/apollo-vs-huggingface)
-   [→ Apollo.io vs incident.io](https://jobsbyculture.com/compare/apollo-vs-incidentio)
-   [→ Apollo.io vs Labelbox](https://jobsbyculture.com/compare/apollo-vs-labelbox)
-   [→ Apollo.io vs Lambda](https://jobsbyculture.com/compare/apollo-vs-lambda)
-   [→ Apollo.io vs LangChain](https://jobsbyculture.com/compare/apollo-vs-langchain)
-   [→ Apollo.io vs Linear](https://jobsbyculture.com/compare/apollo-vs-linear)
-   [→ Apollo.io vs Lovable](https://jobsbyculture.com/compare/apollo-vs-lovable)
-   [→ Apollo.io vs Mercor](https://jobsbyculture.com/compare/apollo-vs-mercor)
-   [→ Apollo.io vs Mercury](https://jobsbyculture.com/compare/apollo-vs-mercury)
-   [→ Apollo.io vs Mistral AI](https://jobsbyculture.com/compare/apollo-vs-mistral)
-   [→ Apollo.io vs Modal](https://jobsbyculture.com/compare/apollo-vs-modal)
-   [→ Apollo.io vs MongoDB](https://jobsbyculture.com/compare/apollo-vs-mongodb)
-   [→ Apollo.io vs n8n](https://jobsbyculture.com/compare/apollo-vs-n8n)
-   [→ Apollo.io vs Navan](https://jobsbyculture.com/compare/apollo-vs-navan)
-   [→ Apollo.io vs Notion](https://jobsbyculture.com/compare/apollo-vs-notion)
-   [→ Apollo.io vs OpenAI](https://jobsbyculture.com/compare/apollo-vs-openai)
-   [→ Apollo.io vs Perplexity AI](https://jobsbyculture.com/compare/apollo-vs-perplexity)
-   [→ Apollo.io vs Pinecone](https://jobsbyculture.com/compare/apollo-vs-pinecone)
-   [→ Apollo.io vs Plaid](https://jobsbyculture.com/compare/apollo-vs-plaid)
-   [→ Apollo.io vs Poolside AI](https://jobsbyculture.com/compare/apollo-vs-poolside)
-   [→ Apollo.io vs PostHog](https://jobsbyculture.com/compare/apollo-vs-posthog)
-   [→ Apollo.io vs Pylon](https://jobsbyculture.com/compare/apollo-vs-pylon)
-   [→ Apollo.io vs Ramp](https://jobsbyculture.com/compare/apollo-vs-ramp)
-   [→ Apollo.io vs Replit](https://jobsbyculture.com/compare/apollo-vs-replit)
-   [→ Apollo.io vs Runway](https://jobsbyculture.com/compare/apollo-vs-runway)
-   [→ Apollo.io vs Samsara](https://jobsbyculture.com/compare/apollo-vs-samsara)
-   [→ Apollo.io vs Scale AI](https://jobsbyculture.com/compare/apollo-vs-scale)
-   [→ Apollo.io vs Sierra AI](https://jobsbyculture.com/compare/apollo-vs-sierra)
-   [→ Apollo.io vs Snowflake](https://jobsbyculture.com/compare/apollo-vs-snowflake)
-   [→ Apollo.io vs Stripe](https://jobsbyculture.com/compare/apollo-vs-stripe)
-   [→ Apollo.io vs Suno](https://jobsbyculture.com/compare/apollo-vs-suno)
-   [→ Apollo.io vs Supabase](https://jobsbyculture.com/compare/apollo-vs-supabase)
-   [→ Apollo.io vs Synthesia](https://jobsbyculture.com/compare/apollo-vs-synthesia)
-   [→ Apollo.io vs Tailscale](https://jobsbyculture.com/compare/apollo-vs-tailscale)
-   [→ Apollo.io vs Together AI](https://jobsbyculture.com/compare/apollo-vs-together)
-   [→ Apollo.io vs Twilio](https://jobsbyculture.com/compare/apollo-vs-twilio)
-   [→ Apollo.io vs Vanta](https://jobsbyculture.com/compare/apollo-vs-vanta)
-   [→ Apollo.io vs Vast AI](https://jobsbyculture.com/compare/apollo-vs-vast)
-   [→ Apollo.io vs Vercel](https://jobsbyculture.com/compare/apollo-vs-vercel)
-   [→ Apollo.io vs Wayve](https://jobsbyculture.com/compare/apollo-vs-wayve)
-   [→ Apollo.io vs Weaviate](https://jobsbyculture.com/compare/apollo-vs-weaviate)
-   [→ Apollo.io vs Webflow](https://jobsbyculture.com/compare/apollo-vs-webflow)
-   [→ Apollo.io vs Writer](https://jobsbyculture.com/compare/apollo-vs-writer)



🏢

### Claim _Apollo.io_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Asana Glassdoor, Culture & Careers 2026 | JobsByCulture

# Asana Glassdoor, Culture & Careers 2026 | JobsByCulture

> Asana company profile: 4.1 Glassdoor, ~1,800 employees, $130k–$300k comp. Work management platform culture, work-life balance reviews, and open careers.

Source: https://jobsbyculture.com/companies/asana
Markdown: https://jobsbyculture.com/companies/asana.md
Last updated: 2026-07-14

---
![Asana logo](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

# Asana

Work Management Platform — Building a Better Way to Work

The consensus on Asana: A public tech company that genuinely prioritizes culture. Strong work-life balance, transparency, and a sustainable engineering pace — but navigating public market pressures and periodic reorgs.

2008

Founded

San Francisco

Headquarters

~1,800

Employees

ASAN

NYSE (Public)

Free Work at Asana? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Asana

Co-founded by Dustin Moskovitz (Facebook co-founder) and Justin Rosenstein in 2008, Asana builds the work management platform used by teams at Amazon, Google, and thousands of other organizations. The company is unusually intentional about culture — publishing its engineering values publicly, investing heavily in D&I, and maintaining a 4.2/5 work-life balance score that's rare for a public tech company. Asana's engineering team explicitly values "sustainable pace" and "working well for decades," which shows up in how they structure sprints, on-call, and meeting culture.

[Work-Life Balance](https://jobsbyculture.com/values/wlb) [Transparent](https://jobsbyculture.com/values/transparent) [Learning Culture](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact) [Diverse & Inclusive](https://jobsbyculture.com/values/diverse)

Glassdoor Ratings

## Asana Glassdoor Ratings & _Employee Reviews_

4.1

Overall Glassdoor Score

Based on 929 reviews

Culture & Values 4.3

Work-Life Balance 4.2

Diversity & Inclusion 4.4

Career Opportunities 3.7

Senior Management 3.8

Overall Rating 4.1

76% Recommend to a Friend

Employee Review Themes

## Working at Asana: _Pros & Cons_

### ✓ What employees love

-   ✓ Exceptional work-life balance — 4.2/5 WLB is rare for public tech
-   ✓ Highly transparent culture with clarity, accountability, and open communication
-   ✓ Strong D&I commitment — 4.4/5 diversity score with real programs
-   ✓ Engineering culture emphasizes sustainable pace and continuous learning

### ✗ What could be better

-   ✗ Senior management accountability — some avoidance of hard decisions
-   ✗ Frequent organizational changes and restructuring can be disorienting
-   ✗ Mandatory hybrid schedule — 3 days in-office per week
-   ✗ Stock performance creates uncertainty and affects retention

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Java TypeScript React Python Luna (custom)

#### Engineering Values

Six published engineering values: simplicity, clarity, sustainable pace, ownership beyond scope, learning-driven mindset, and craftsmanship. Designed to support people "working well for decades."

#### Product

Work management platform used by 150,000+ organizations. AI-powered features for task automation, project planning, and workflow orchestration. [Try Asana →](https://asana.com/?ref=jobsbyculture.com)

#### Team Structure

Cross-functional teams with strong product-engineering collaboration. Engineers own features and influence product direction. On-call is structured with clear boundaries to protect work-life balance.

Open Positions

## Join the _Asana_ team

Explore open roles at Asana below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=asana)

Explore More

## Related _content_

### Blog Posts

-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)
-   [→ AI Company Employee Counts 2026](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ AI Hiring Trends 2026](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

### Similar Companies

-   [→ Notion](https://jobsbyculture.com/companies/notion)
-   [→ Figma](https://jobsbyculture.com/companies/figma)
-   [→ Airtable](https://jobsbyculture.com/companies/airtable)
-   [→ Linear](https://jobsbyculture.com/companies/linear)
-   [→ HubSpot](https://jobsbyculture.com/companies/hubspot)

Explore More

## Related _content_

### Blog Posts

-   [→ Best Tech Companies for Working Parents in 2026: Parental Leave, Flexibility & Culture](https://jobsbyculture.com/blog/best-tech-companies-for-parents-2026)
-   [→ 10 Tech Companies That Hire for Emotional Intelligence Over Raw IQ in 2026](https://jobsbyculture.com/blog/companies-that-hire-for-eq-2026)
-   [→ IC vs Engineering Manager: How to Choose the Right Career Track in 2026](https://jobsbyculture.com/blog/ic-vs-manager-career-track-2026)
-   [→ Psychological Safety at Work: 12 Companies That Actually Practice It (Not Just Talk About It)](https://jobsbyculture.com/blog/psychological-safety-at-work-2026)
-   [→ Startups vs Big Tech in 2026: An Honest Guide for Engineers](https://jobsbyculture.com/blog/startups-vs-big-tech-2026)

### Compare Asana

-   [→ Asana vs Abridge](https://jobsbyculture.com/compare/abridge-vs-asana)
-   [→ Asana vs Adyen](https://jobsbyculture.com/compare/adyen-vs-asana)
-   [→ Asana vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-asana)
-   [→ Asana vs Airtable](https://jobsbyculture.com/compare/airtable-vs-asana)
-   [→ Asana vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-asana)
-   [→ Asana vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-asana)
-   [→ Asana vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-asana)
-   [→ Asana vs Baseten](https://jobsbyculture.com/compare/asana-vs-baseten)
-   [→ Asana vs Brex](https://jobsbyculture.com/compare/asana-vs-brex)
-   [→ Asana vs Celonis](https://jobsbyculture.com/compare/asana-vs-celonis)
-   [→ Asana vs Cerebras Systems](https://jobsbyculture.com/compare/asana-vs-cerebras)
-   [→ Asana vs Chainguard](https://jobsbyculture.com/compare/asana-vs-chainguard)
-   [→ Asana vs Cloudflare](https://jobsbyculture.com/compare/asana-vs-cloudflare)
-   [→ Asana vs Cognition AI](https://jobsbyculture.com/compare/asana-vs-cognition)
-   [→ Asana vs Cohere](https://jobsbyculture.com/compare/asana-vs-cohere)
-   [→ Asana vs Contentful](https://jobsbyculture.com/compare/asana-vs-contentful)
-   [→ Asana vs CoreWeave](https://jobsbyculture.com/compare/asana-vs-coreweave)
-   [→ Asana vs Cresta](https://jobsbyculture.com/compare/asana-vs-cresta)
-   [→ Asana vs Crusoe](https://jobsbyculture.com/compare/asana-vs-crusoe)
-   [→ Asana vs Cursor](https://jobsbyculture.com/compare/asana-vs-cursor)
-   [→ Asana vs Databricks](https://jobsbyculture.com/compare/asana-vs-databricks)
-   [→ Asana vs Datadog](https://jobsbyculture.com/compare/asana-vs-datadog)
-   [→ Asana vs Decagon](https://jobsbyculture.com/compare/asana-vs-decagon)
-   [→ Asana vs DeepL](https://jobsbyculture.com/compare/asana-vs-deepl)
-   [→ Asana vs DeepMind](https://jobsbyculture.com/compare/asana-vs-deepmind)
-   [→ Asana vs Descript](https://jobsbyculture.com/compare/asana-vs-descript)
-   [→ Asana vs Doctolib](https://jobsbyculture.com/compare/asana-vs-doctolib)
-   [→ Asana vs Elastic](https://jobsbyculture.com/compare/asana-vs-elastic)
-   [→ Asana vs ElevenLabs](https://jobsbyculture.com/compare/asana-vs-elevenlabs)
-   [→ Asana vs Figma](https://jobsbyculture.com/compare/asana-vs-figma)
-   [→ Asana vs Fireworks AI](https://jobsbyculture.com/compare/asana-vs-fireworksai)
-   [→ Asana vs GitLab](https://jobsbyculture.com/compare/asana-vs-gitlab)
-   [→ Asana vs Glean](https://jobsbyculture.com/compare/asana-vs-glean)
-   [→ Asana vs Grafana Labs](https://jobsbyculture.com/compare/asana-vs-grafanalabs)
-   [→ Asana vs Granola](https://jobsbyculture.com/compare/asana-vs-granola)
-   [→ Asana vs Harvey AI](https://jobsbyculture.com/compare/asana-vs-harvey)
-   [→ Asana vs Hebbia](https://jobsbyculture.com/compare/asana-vs-hebbia)
-   [→ Asana vs Helsing](https://jobsbyculture.com/compare/asana-vs-helsing)
-   [→ Asana vs HubSpot](https://jobsbyculture.com/compare/asana-vs-hubspot)
-   [→ Asana vs Hugging Face](https://jobsbyculture.com/compare/asana-vs-huggingface)
-   [→ Asana vs incident.io](https://jobsbyculture.com/compare/asana-vs-incidentio)
-   [→ Asana vs Labelbox](https://jobsbyculture.com/compare/asana-vs-labelbox)
-   [→ Asana vs Lambda](https://jobsbyculture.com/compare/asana-vs-lambda)
-   [→ Asana vs LangChain](https://jobsbyculture.com/compare/asana-vs-langchain)
-   [→ Asana vs Linear](https://jobsbyculture.com/compare/asana-vs-linear)
-   [→ Asana vs Lovable](https://jobsbyculture.com/compare/asana-vs-lovable)
-   [→ Asana vs Mercor](https://jobsbyculture.com/compare/asana-vs-mercor)
-   [→ Asana vs Mercury](https://jobsbyculture.com/compare/asana-vs-mercury)
-   [→ Asana vs Mistral AI](https://jobsbyculture.com/compare/asana-vs-mistral)
-   [→ Asana vs Modal](https://jobsbyculture.com/compare/asana-vs-modal)
-   [→ Asana vs MongoDB](https://jobsbyculture.com/compare/asana-vs-mongodb)
-   [→ Asana vs n8n](https://jobsbyculture.com/compare/asana-vs-n8n)
-   [→ Asana vs Navan](https://jobsbyculture.com/compare/asana-vs-navan)
-   [→ Asana vs Notion](https://jobsbyculture.com/compare/asana-vs-notion)
-   [→ Asana vs OpenAI](https://jobsbyculture.com/compare/asana-vs-openai)
-   [→ Asana vs Perplexity AI](https://jobsbyculture.com/compare/asana-vs-perplexity)
-   [→ Asana vs Pinecone](https://jobsbyculture.com/compare/asana-vs-pinecone)
-   [→ Asana vs Plaid](https://jobsbyculture.com/compare/asana-vs-plaid)
-   [→ Asana vs Poolside AI](https://jobsbyculture.com/compare/asana-vs-poolside)
-   [→ Asana vs PostHog](https://jobsbyculture.com/compare/asana-vs-posthog)
-   [→ Asana vs Pylon](https://jobsbyculture.com/compare/asana-vs-pylon)
-   [→ Asana vs Ramp](https://jobsbyculture.com/compare/asana-vs-ramp)
-   [→ Asana vs Replit](https://jobsbyculture.com/compare/asana-vs-replit)
-   [→ Asana vs Runway](https://jobsbyculture.com/compare/asana-vs-runway)
-   [→ Asana vs Samsara](https://jobsbyculture.com/compare/asana-vs-samsara)
-   [→ Asana vs Scale AI](https://jobsbyculture.com/compare/asana-vs-scale)
-   [→ Asana vs Sierra AI](https://jobsbyculture.com/compare/asana-vs-sierra)
-   [→ Asana vs Snowflake](https://jobsbyculture.com/compare/asana-vs-snowflake)
-   [→ Asana vs Stripe](https://jobsbyculture.com/compare/asana-vs-stripe)
-   [→ Asana vs Suno](https://jobsbyculture.com/compare/asana-vs-suno)
-   [→ Asana vs Supabase](https://jobsbyculture.com/compare/asana-vs-supabase)
-   [→ Asana vs Synthesia](https://jobsbyculture.com/compare/asana-vs-synthesia)
-   [→ Asana vs Tailscale](https://jobsbyculture.com/compare/asana-vs-tailscale)
-   [→ Asana vs Together AI](https://jobsbyculture.com/compare/asana-vs-together)
-   [→ Asana vs Twilio](https://jobsbyculture.com/compare/asana-vs-twilio)
-   [→ Asana vs Vanta](https://jobsbyculture.com/compare/asana-vs-vanta)
-   [→ Asana vs Vast AI](https://jobsbyculture.com/compare/asana-vs-vast)
-   [→ Asana vs Vercel](https://jobsbyculture.com/compare/asana-vs-vercel)
-   [→ Asana vs Wayve](https://jobsbyculture.com/compare/asana-vs-wayve)
-   [→ Asana vs Weaviate](https://jobsbyculture.com/compare/asana-vs-weaviate)
-   [→ Asana vs Webflow](https://jobsbyculture.com/compare/asana-vs-webflow)
-   [→ Asana vs Writer](https://jobsbyculture.com/compare/asana-vs-writer)



🏢

### Claim _Asana_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Automattic Culture & Jobs | JobsByCulture

# Automattic Culture & Jobs | JobsByCulture

> Automattic engineering culture: 2.9 Glassdoor, fully distributed since 2005, behind WordPress.com, Tumblr & WooCommerce. View open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/automattic
Markdown: https://jobsbyculture.com/companies/automattic.md
Last updated: 2026-07-14

---
![Automattic logo](https://www.google.com/s2/favicons?domain=automattic.com&sz=128)

# Automattic

The company behind WordPress.com, Tumblr, WooCommerce, Jetpack, and more — powering 43% of the web

The consensus on Automattic: The original remote company with genuine flexibility, but facing significant culture challenges. Choose Automattic if you value true location-independence and open-source mission — but go in with eyes open about the current internal climate.

2005

Founded

Fully Distributed

No Offices

~1,500

Employees

90+

Countries

Free Work at automattic? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Automattic

Automattic is the company behind WordPress.com, Tumblr, WooCommerce, Jetpack, and several other products that collectively power 43% of the web. Founded in 2005 by Matt Mullenweg, the company has been fully distributed since day one — no offices, ~1,500 employees across 90+ countries (following a 16% workforce reduction announced in April 2025).

The culture has historically been praised for its remote-first approach, open-source values, and flexibility. However, recent Glassdoor data paints a challenging picture. The overall rating has dropped to 2.9/5 with only 40% of employees recommending the company. Reviews cite leadership concerns, organizational instability, and declining psychological safety. That said, work-life balance remains relatively strong at 3.8/5, and the remote-first model is genuine.

[Remote](https://jobsbyculture.com/values/remote) [Open Source](https://jobsbyculture.com/values/open-source) [Async](https://jobsbyculture.com/values/async)

Glassdoor Ratings

## Automattic Glassdoor Ratings & _Employee Reviews_

2.9

Overall Glassdoor Score

Based on 503 Glassdoor reviews

Culture & Values 3.0

Compensation & Benefits 3.7

Work-Life Balance 3.8

Career Opportunities 2.6

Overall Rating 2.9

40% Recommend to a Friend

~40% CEO Approval (Matt Mullenweg)

Employee Review Themes

## Working at Automattic: _Pros & Cons_

### ✓ What employees love

-   ✓ Fully distributed since 2005 — one of the most experienced remote companies in existence
-   ✓ Open-source at the core — WordPress powers 43% of the web
-   ✓ Location-independent salaries — pay is not reduced based on where you live
-   ✓ Genuine flexibility — make your own hours, work from anywhere

### ✗ What could be better

-   ✗ Overall Glassdoor dropped to 2.9/5 — significant decline in the past year
-   ✗ Only 40% of employees recommend — well below industry average
-   ✗ Career opportunities rated 2.6/5 — growth paths are unclear
-   ✗ Recent organizational instability and leadership concerns cited frequently

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

PHP JavaScript React Node.js MySQL WordPress

#### Open Source

WordPress is one of the largest open-source projects in the world. Automattic actively maintains and contributes to WordPress core, WooCommerce, Gutenberg, and dozens of other open-source projects.

#### Communication

Heavily async, text-based culture built around P2 (internal blogging platform). Meetings are rare. Most decisions are made through written discussion, fitting a global distributed team across all time zones.

#### Team Structure

Organized into small, autonomous teams called "divisions." Engineers have significant ownership over their projects. Annual company-wide meetups (Grand Meetup) bring the distributed team together in person.

Open Positions

## Join the _Automattic_ team

Explore open roles at Automattic.

[View open positions at Automattic →](https://automattic.com/work-with-us/?ref=jobsbyculture.com)

Explore More

## Related _content_

### Similar Companies

-   [→ GitLab — All-remote DevOps platform](https://jobsbyculture.com/companies/gitlab)
-   [→ Webflow — Visual web development](https://jobsbyculture.com/companies/webflow)
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-   [→ Supabase — Open-source Firebase alternative](https://jobsbyculture.com/companies/supabase)
-   [→ PostHog — Open-source product analytics](https://jobsbyculture.com/companies/posthog)

### Browse by Culture

-   [→ Remote-Friendly Companies](https://jobsbyculture.com/values/remote)
-   [→ Open Source Companies](https://jobsbyculture.com/values/open-source)
-   [→ Learning & Growth Companies](https://jobsbyculture.com/values/learning)
-   [→ Full Culture Directory](https://jobsbyculture.com/companies)



🏢

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---

## Document: Baseten Culture & Jobs | JobsByCulture

# Baseten Culture & Jobs | JobsByCulture

> Baseten engineering culture: 4.3 Glassdoor (est.), ML inference infrastructure, small team with high ownership. See open roles and employee reviews.

Source: https://jobsbyculture.com/companies/baseten
Markdown: https://jobsbyculture.com/companies/baseten.md
Last updated: 2026-07-14

---
![Baseten logo](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

# Baseten

ML Inference Infrastructure — Deploy and Scale ML Models in Production

The consensus on Baseten: Choose Baseten if you want cutting-edge ML inference work with high ownership at a small, fast-moving startup — but expect startup intensity and shifting priorities.

2019

Founded

San Francisco

Headquarters

~150

Employees

Free Work at Baseten? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Baseten

Founded in 2019 by Tuhin Srivastava, Baseten builds ML inference infrastructure that lets teams deploy and scale machine learning models in production. With a small team of roughly 150 employees, the culture is engineering-driven and fast-paced. Small team size means everyone wears multiple hats, and individual contributors have direct impact on the product and company direction. Expect a flat hierarchy where shipping quickly is valued and ownership is the norm.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Many Hats](https://jobsbyculture.com/values/many-hats) [Product Impact](https://jobsbyculture.com/values/product-impact) [Flat Hierarchy](https://jobsbyculture.com/values/flat)

Glassdoor Ratings

## Baseten Glassdoor Ratings & _Employee Reviews_

4.3

Overall Glassdoor Score

Estimated — limited reviews

Culture & Values 4.3

Compensation & Benefits 4.0

Senior Management 4.2

Career Opportunities 4.0

Work-Life Balance 3.5

Overall Rating 4.3

CEO: Tuhin Srivastava (limited data)

Employee Review Themes

## Working at Baseten: _Pros & Cons_

### ✓ What employees love

-   ✓ Cutting-edge ML inference infrastructure — deploying models at scale for real production customers
-   ✓ Small team means high ownership and direct impact on product direction and company strategy

### ✗ What could be better

-   ✗ Limited resources compared to larger competitors — can feel stretched thin on multiple fronts
-   ✗ Fast-moving product roadmap means priorities shift frequently as the market evolves

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python Go Kubernetes CUDA Triton

#### Open Source

Maintains Truss, an open-source framework for packaging and serving ML models. Active contributor to the ML infrastructure ecosystem.

#### Engineering Blog

Shares deep dives on ML inference optimization, GPU utilization, and model serving architecture. [Read the blog →](https://www.baseten.co/blog/?ref=jobsbyculture.com)

#### Team Structure

Flat, startup-style organization. Engineers own features end-to-end from design to production. Small, autonomous teams with minimal bureaucracy.

Open Positions

## Join the _Baseten_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=baseten)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ The $700B AI Infrastructure Boom: What It Means for Engineers in 2026](https://jobsbyculture.com/blog/ai-infrastructure-spending-boom-2026)
-   [→ $300B in Q1 2026: The AI Funding Boom & What It Means for Job Seekers](https://jobsbyculture.com/blog/ai-startup-funding-hiring-2026)
-   [→ The AI Talent War in 2026: 1.6M Open Roles, 518K Qualified Candidates](https://jobsbyculture.com/blog/ai-talent-war-2026)
-   [→ AI Employer Brand Benchmarks 2026: Median 4.2 Glassdoor, 3.8 WLB Across 118 Companies](https://jobsbyculture.com/blog/employer-brand-benchmarks-ai-2026)

### Compare Baseten

-   [→ Baseten vs Abridge](https://jobsbyculture.com/compare/abridge-vs-baseten)
-   [→ Baseten vs Adyen](https://jobsbyculture.com/compare/adyen-vs-baseten)
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-   [→ Baseten vs incident.io](https://jobsbyculture.com/compare/baseten-vs-incidentio)
-   [→ Baseten vs Labelbox](https://jobsbyculture.com/compare/baseten-vs-labelbox)
-   [→ Baseten vs Lambda](https://jobsbyculture.com/compare/baseten-vs-lambda)
-   [→ Baseten vs LangChain](https://jobsbyculture.com/compare/baseten-vs-langchain)
-   [→ Baseten vs Linear](https://jobsbyculture.com/compare/baseten-vs-linear)
-   [→ Baseten vs Lovable](https://jobsbyculture.com/compare/baseten-vs-lovable)
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-   [→ Baseten vs Mistral AI](https://jobsbyculture.com/compare/baseten-vs-mistral)
-   [→ Baseten vs Modal](https://jobsbyculture.com/compare/baseten-vs-modal)
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-   [→ Baseten vs Navan](https://jobsbyculture.com/compare/baseten-vs-navan)
-   [→ Baseten vs Notion](https://jobsbyculture.com/compare/baseten-vs-notion)
-   [→ Baseten vs OpenAI](https://jobsbyculture.com/compare/baseten-vs-openai)
-   [→ Baseten vs Perplexity AI](https://jobsbyculture.com/compare/baseten-vs-perplexity)
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-   [→ Baseten vs Pylon](https://jobsbyculture.com/compare/baseten-vs-pylon)
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-   [→ Baseten vs Replit](https://jobsbyculture.com/compare/baseten-vs-replit)
-   [→ Baseten vs Runway](https://jobsbyculture.com/compare/baseten-vs-runway)
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-   [→ Baseten vs Synthesia](https://jobsbyculture.com/compare/baseten-vs-synthesia)
-   [→ Baseten vs Tailscale](https://jobsbyculture.com/compare/baseten-vs-tailscale)
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-   [→ Baseten vs Vanta](https://jobsbyculture.com/compare/baseten-vs-vanta)
-   [→ Baseten vs Vast AI](https://jobsbyculture.com/compare/baseten-vs-vast)
-   [→ Baseten vs Vercel](https://jobsbyculture.com/compare/baseten-vs-vercel)
-   [→ Baseten vs Wayve](https://jobsbyculture.com/compare/baseten-vs-wayve)
-   [→ Baseten vs Weaviate](https://jobsbyculture.com/compare/baseten-vs-weaviate)
-   [→ Baseten vs Webflow](https://jobsbyculture.com/compare/baseten-vs-webflow)
-   [→ Baseten vs Writer](https://jobsbyculture.com/compare/baseten-vs-writer)



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## Document: Benchling Glassdoor, Culture & Careers 2026 | JobsByCulture

# Benchling Glassdoor, Culture & Careers 2026 | JobsByCulture

> Benchling company profile: 3.5 Glassdoor (4.3 for engineers), ~800 employees, $150k–$350k comp. Work-life balance, culture reviews, and open careers at the biotech R&D platform.

Source: https://jobsbyculture.com/companies/benchling
Markdown: https://jobsbyculture.com/companies/benchling.md
Last updated: 2026-07-14

---
![Benchling logo](https://www.google.com/s2/favicons?domain=benchling.com&sz=128)

# Benchling

The R&D Cloud for Life Sciences — Where Software Meets Science

The consensus on Benchling: A rare place where software engineers build tools that directly accelerate biotech breakthroughs — with 95% of engineering employees recommending it. The mission is real, not marketing.

2012

Founded (YC S12)

San Francisco

Headquarters

~800

Employees

~$6.1B

Valuation (2021)

Free Work at Benchling? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Benchling

Benchling builds the cloud platform that hundreds of thousands of scientists use to design CRISPR experiments, manage gene therapy pipelines, and accelerate drug discovery. Founded out of Y Combinator in 2012, the company has grown to ~800 people while maintaining a deeply mission-driven culture rooted in the belief that better software can meaningfully speed up scientific progress. Engineers here don't just write code — they build tools that scientists at Moderna, Regeneron, and hundreds of biotech labs depend on daily.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Mission-Driven](https://jobsbyculture.com/values/social-impact) [Learning & Growth](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Benchling Glassdoor Ratings & _Employee Reviews_

3.5

Overall Glassdoor Score

Based on 184 reviews

Culture & Values 3.9

Work-Life Balance 3.6

Compensation & Benefits 3.8

Career Opportunities 3.4

Engineering Experience 4.3

Overall Rating 3.5

66% Recommend to a Friend

95% SWE Recommend

Employee Review Themes

## Working at Benchling: _Pros & Cons_

### ✓ What employees love

-   ✓ Mission you can feel — the software directly powers CRISPR research, drug discovery, and gene therapy development
-   ✓ Brilliant, collaborative coworkers — scientifically-minded culture where even non-scientists develop deep domain knowledge
-   ✓ Engineering culture stands out — 4.3/5 SWE rating with real ownership over features and product direction
-   ✓ Reasonable work-life balance — 3.6/5 WLB is above average for high-growth tech and genuinely respected

### ✗ What could be better

-   ✗ Shifting priorities — fast-moving roadmap can feel disorienting as the company scales
-   ✗ Career growth paths still developing — learning is more peer-driven than formally structured
-   ✗ Post-hypergrowth layoffs impacted team morale and trust in leadership decisions
-   ✗ Cross-org connections are harder as the company grows — silos forming between teams

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python TypeScript React PostgreSQL AWS

#### Product

Cloud-native R&D platform for life sciences: molecular biology tools, CRISPR design, notebook & registry, bioprocess management. Used by hundreds of thousands of scientists globally.

#### Domain

Life sciences R&D is a complex, high-stakes domain. Engineers develop deep scientific fluency — most customer-facing roles require biology backgrounds, creating a uniquely nerdy, intellectually stimulating environment.

#### Team Structure

Product-oriented squads with real ownership. Engineers work closely with scientists and domain experts. Strong collaborative culture where code review is thorough and mentorship happens organically. [See open roles →](https://www.benchling.com/careers?ref=jobsbyculture.com)

Open Positions

## Join the _Benchling_ team

Explore open roles at Benchling below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=benchling)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ Best AI & Tech Companies for Engineers in 2026](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

### Similar Companies

-   [→ Abridge (Healthcare AI)](https://jobsbyculture.com/companies/abridge)
-   [→ Hippocratic AI (Healthcare AI)](https://jobsbyculture.com/companies/hippocratic-ai)
-   [→ Labelbox (Data Platform)](https://jobsbyculture.com/companies/labelbox)
-   [→ Notion (Productivity Platform)](https://jobsbyculture.com/companies/notion)
-   [→ Figma (Design Platform)](https://jobsbyculture.com/companies/figma)



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## Document: Bizzdesign Culture, Glassdoor & Careers 2026 | JobsByCulture

# Bizzdesign Culture, Glassdoor & Careers 2026 | JobsByCulture

> Bizzdesign company profile: 4.2 Glassdoor (32 reviews), 600+ employees post-merger, global footprint, 2,000+ customers. Culture, FLOW values, and open careers at the enterprise transformation SaaS.

Source: https://jobsbyculture.com/companies/bizzdesign
Markdown: https://jobsbyculture.com/companies/bizzdesign.md
Last updated: 2026-07-14

---
![Bizzdesign logo](https://www.google.com/s2/favicons?domain=bizzdesign.com&sz=128)

# Bizzdesign

Enterprise Architecture & Business Transformation SaaS

Everything starts with people — transformation doesn't follow a straight line and neither do we. Bizzdesign brings FLOW culture (Flexibility, Leadership, Ownership, Willingness to Learn) to enterprise transformation worldwide.

1999

Founded

Enschede, NL

Headquarters

~600

Employees

2,000+

Customers

Free Work at Bizzdesign? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Bizzdesign

Founded in 1999 in Enschede, Netherlands, Bizzdesign is a 26-year-old enterprise SaaS company helping organizations align strategy, architecture, and operations. Following mergers with MEGA International and Alfabet, Bizzdesign now operates across 19 locations with over 600 employees representing 32+ nationalities. Their FLOW culture framework — Flexibility, Leadership, Ownership, and Willingness to Learn — is the foundation of how teams operate. The company serves 2,000+ customers globally, including major banks, governments, and Fortune 500 firms, delivering a platform for enterprise architecture and business transformation.

[📚 Learning & Growth](https://jobsbyculture.com/values/learning) [🎯 Product Impact](https://jobsbyculture.com/values/product-impact) [🌈 Diverse](https://jobsbyculture.com/values/diverse) [🚀 Ship Fast](https://jobsbyculture.com/values/ship-fast)

Glassdoor Ratings

## Bizzdesign Glassdoor Ratings & _Employee Reviews_

4.2

Overall Glassdoor Score

Based on 32 employee reviews

Work-Life Balance 4.3

Culture & Values 4.1

Overall Rating 4.2

Compensation & Benefits 3.8

Career Opportunities 3.6

81% recommend to a friend · 82% positive business outlook

Employee Review Themes

## Working at Bizzdesign: _Pros & Cons_

### ✓ What employees love

-   ✓ Strong FLOW culture values — Flexibility, Leadership, Ownership, and Willingness to Learn are embedded across teams
-   ✓ 26-year track record with 2,000+ enterprise customers — stable company that still innovates
-   ✓ Genuine international diversity — 32+ nationalities across 19 locations worldwide
-   ✓ High-impact product work — platform decisions directly affect enterprise transformation at major global firms

### ✗ What could be better

-   ✗ Not a pure AI/tech company — enterprise SaaS focus means a different pace than AI-native startups
-   ✗ Smaller hiring volume with ~13 open roles currently listed
-   ✗ Post-merger integration complexity — combining Bizzdesign, MEGA International, and Alfabet cultures takes time
-   ✗ Enterprise sales cycles can slow down engineering velocity

Engineering & Platform Culture

## How the _engineering_ team works

#### Platform

Enterprise SaaS Cloud API-first

#### Product

Enterprise architecture and business transformation platform. Enables organizations to map strategy to execution, manage IT landscapes, and drive digital transformation at scale.

#### Team Structure

Cross-functional teams across 19 global offices. Engineers work on a shared platform serving 2,000+ enterprise customers — high-stakes product work with direct business impact.

#### Careers

Roles span frontend, backend, DevOps, UX, and platform leadership. [View all open positions →](https://www.bizzdesign.com/careers?ref=jobsbyculture.com)

Open Positions

## Join the _Bizzdesign_ team

13 open roles across Bizzdesign's global offices. All applications go through the Bizzdesign careers page.

[

Business Controller

Utrecht, Netherlands

Apply →

](https://careers.bizzdesign.com/en/postings/d6029362-0e5e-423c-9c93-6df4571f4634?ref=jobsbyculture.com)[

Business Development Representative

United Kingdom

Apply →

](https://careers.bizzdesign.com/en/postings/aaf79aaa-82bc-4ed4-acc8-5708285d11f8?ref=jobsbyculture.com)[

Customer Success Manager

Riyadh, Saudi Arabia

Apply →

](https://careers.bizzdesign.com/en/postings/a30c4812-c110-43b3-bc2e-a21de2b9d3b2?ref=jobsbyculture.com)[

Customer Success Manager

Berlin, Germany

Apply →

](https://careers.bizzdesign.com/en/postings/496900?ref=jobsbyculture.com)[

DevOps Lead

Paris, France

Apply →

](https://careers.bizzdesign.com/en/postings/60096334-c007-4c70-9492-bffcbaeb070e?ref=jobsbyculture.com)[

Digital Project Manager

Paris, France

Apply →

](https://careers.bizzdesign.com/en/postings/04e0f7b3-f7b0-4426-a79a-b74a28c07f74?ref=jobsbyculture.com)[

Office Manager

Berlin, Germany

Apply →

](https://careers.bizzdesign.com/en/postings/649ba230-471e-4eb7-a5fd-23a73cbcf163?ref=jobsbyculture.com)[

Office Manager

Enschede, Netherlands

Apply →

](https://careers.bizzdesign.com/en/postings/951db864-ecc5-4b53-9bf0-e63619c5633f?ref=jobsbyculture.com)[

Platform Lead

Utrecht, Netherlands

Apply →

](https://careers.bizzdesign.com/en/postings/1d51d145-9ceb-421e-8e76-7ca409d57d66?ref=jobsbyculture.com)[

Sales Administrator

Paris, France

Apply →

](https://careers.bizzdesign.com/en/postings/019b0c5a-ef83-4527-9b0c-c2bf394474d3?ref=jobsbyculture.com)[

Senior Experience Designer

Utrecht, Netherlands

Apply →

](https://careers.bizzdesign.com/en/postings/8708623f-4e02-4155-b48e-69bf45969925?ref=jobsbyculture.com)[

Senior VP of Sales LATAM

Mexico

Apply →

](https://careers.bizzdesign.com/en/postings/53d4a8e8-8a92-48cb-99b9-fe11145f1809?ref=jobsbyculture.com)[

Software Engineer — Frontend & AI

Utrecht, Netherlands

Apply →

](https://careers.bizzdesign.com/en/postings/eb1ce077-5a8c-460f-842c-026cfc972061?ref=jobsbyculture.com)

[View all open roles at Bizzdesign →](https://www.bizzdesign.com/careers?ref=jobsbyculture.com)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

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We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Brex Culture & Jobs | JobsByCulture

# Brex Culture & Jobs | JobsByCulture

> Brex engineering culture: 4.0 Glassdoor, hybrid (3 days in-office), AI-powered fintech. See 266 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/brex
Markdown: https://jobsbyculture.com/companies/brex.md
Last updated: 2026-07-14

---
![Brex logo](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

# Brex

AI-Powered Spend Management — Building the Financial OS for Modern Businesses

The consensus on Brex: Choose Brex if you want to build AI-powered fintech at massive scale with smart colleagues — but expect intense workloads and some organizational instability from recent layoffs.

2017

Founded

San Francisco, CA

HQ (Hybrid — 3 days in-office)

~1,800

Employees

~$5.15B

Capital One Acquisition (Apr 2026)

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Culture Overview

## What it's _really_ like to work at Brex

Founded in 2017 by Pedro Franceschi and Henrique Dubugras, Brex has grown from a corporate card startup to a comprehensive AI-powered spend management platform trusted by tens of thousands of businesses. With 266 open roles, Brex is actively hiring across engineering, product, and operations. The culture fosters innovation and transparency, with incredibly smart, passionate, and supportive colleagues. With a hybrid model (3 days in-office), Brex offers flexible scheduling with time off actively encouraged. Engineers build fintech infrastructure that handles billions in transactions, leveraging AI to automate expense management and financial operations.

[Ship Fast](https://jobsbyculture.com/values/ship-fast) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Product Impact](https://jobsbyculture.com/values/product-impact) [Learning & Growth](https://jobsbyculture.com/values/learning) [Transparent](https://jobsbyculture.com/values/transparent)

Glassdoor Ratings

## Brex Glassdoor Ratings & _Employee Reviews_

4.0

Overall Glassdoor Score

Based on 625 reviews

Culture & Values 4.2

Compensation & Benefits 4.2

Senior Management 3.5

Career Opportunities 3.9

Work-Life Balance 3.8

Overall Rating 4.0

73% Recommend to a Friend

Employee Review Themes

## Working at Brex: _Pros & Cons_

### ✓ What employees love

-   ✓ Innovation-driven culture with incredibly smart, passionate, and supportive colleagues
-   ✓ Strong benefits — time off actively encouraged with flexible scheduling
-   ✓ Massive scale — fintech platform handling billions in transactions with real engineering challenges
-   ✓ 73% of employees recommend — good compensation and benefits (4.2/5 rating)
-   ✓ Y Combinator-backed with strong business fundamentals and diverse product offerings

### ✗ What could be better

-   ✗ Culture of overworking — many departments understaffed relative to workload expectations
-   ✗ Multiple rounds of layoffs in recent years have created uncertainty and morale challenges
-   ✗ Career opportunities rated 3.9/5 — promotion paths may be unclear or limited
-   ✗ Some favoritism can play a role in getting promoted, per employee reviews

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Kotlin TypeScript React Elixir PostgreSQL Kubernetes AWS

#### Open Source & Research

Contributors to financial infrastructure and Kotlin ecosystem tools. Active in the fintech open-source community.

#### Engineering Blog

Covers fintech engineering, distributed systems, and AI-powered automation. [Read the blog →](https://medium.com/brexeng?ref=jobsbyculture.com)

#### Team Structure

Engineering teams building AI-powered spend management at scale (hybrid — 3 days in-office). Engineers own end-to-end product features with direct business impact.

Open Positions

## Join the _Brex_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=brex)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Best AI Tools for Accounting in 2026: 8 Picks by Workflow](https://jobsbyculture.com/blog/ai-tools-accounting-2026)
-   [→ Brex Interview Prep 2026: 5 Rounds, Real Code & What to Expect](https://jobsbyculture.com/blog/brex-interview-prep-2026)
-   [→ 50+ Culture-Fit Interview Questions That Actually Predict Fit (2026)](https://jobsbyculture.com/blog/culture-fit-interview-questions)

### Compare Brex

-   [→ Brex vs Abridge](https://jobsbyculture.com/compare/abridge-vs-brex)
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---

## Document: Cartesia Culture & Jobs | JobsByCulture

# Cartesia Culture & Jobs | JobsByCulture

> Cartesia engineering culture: 4.5 Glassdoor (estimated), real-time voice AI with SSM architecture. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/cartesia
Markdown: https://jobsbyculture.com/companies/cartesia.md
Last updated: 2026-07-14

---
![Cartesia logo](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

# Cartesia

Building the Fastest Real-Time Voice AI Models with State-Space Model Architecture

World-class ML research meets real-time voice AI. Choose Cartesia if you want to work alongside Stanford ML pioneers on cutting-edge SSM architecture — but expect startup intensity.

2023

Founded

San Francisco

Headquarters

~50

Employees

~$122M

Funding Raised

Free Work at Cartesia? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Cartesia

Cartesia was founded in 2023 by Stanford ML researchers Albert Gu, Karan Goel, Arjun Desai, and Brandon Yang (with Chris Ré as an advisor). The company builds real-time text-to-speech models using novel state-space model (SSM) architecture — the same research lineage behind Mamba and S4 models. The company is a small, capital-efficient team and has raised approximately $122M across a seed round and Series A from top-tier investors including Kleiner Perkins, Index Ventures, Lightspeed, and NVIDIA. Reviews highlight excellent founders, enormous talent density, and fascinating work — but note the fast pace comes with pressure.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Many Hats](https://jobsbyculture.com/values/many-hats) [Product Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Cartesia Glassdoor Ratings & _Employee Reviews_

4.5

Overall Glassdoor Score

Based on 2 reviews (estimated — very low confidence)

Work-Life Balance 3.5

Overall Rating 4.5

Based on 2 Glassdoor reviews (estimated — very low confidence). Sub-scores not available due to limited review data.

Employee Review Themes

## Working at Cartesia: _Pros & Cons_

### ✓ What employees love

-   ✓ Excellent founders from Stanford ML research (Albert Gu, Chris Re)
-   ✓ Fastest TTS models in the industry — real enterprise traction ($17M revenue)
-   ✓ Small team with enormous talent density
-   ✓ Well-funded (~$122M total raised) with strong investor backing from Kleiner Perkins, Index Ventures, Lightspeed, and NVIDIA

### ✗ What could be better

-   ✗ Very fast-paced — comes with higher pressure and stress
-   ✗ Only 2 Glassdoor reviews — very limited employee data available
-   ✗ Early-stage growing pains expected at a small team
-   ✗ San Francisco only — no remote flexibility mentioned

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python PyTorch CUDA SSM / Mamba

#### Research Heritage

Founded by the creators of S4 and Mamba state-space models. Core ML research drives the product — this is an engineering-first company where researchers ship production models.

#### Team Structure

~91 people with a flat, many-hats culture. Engineers work across the stack from model architecture to real-time inference optimization. Individual contributors have direct product impact.

#### Product Focus

Real-time text-to-speech and voice AI. The fastest TTS models in the industry, serving enterprise customers and hitting $17M in revenue within a year of founding.

Open Positions

## Join the _Cartesia_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=cartesia)

Explore More

## Related _content_

### Blog Posts

-   [→ Founding Engineer Career Path 2026: Equity, Scope, Risk & Reality](https://jobsbyculture.com/blog/founding-engineer-career-path-2026)
-   [→ Voice AI Engineering Guide 2026: Real-Time Speech, Latency Targets & Architecture](https://jobsbyculture.com/blog/voice-ai-engineering-guide-2026)



🏢

### Claim _Cartesia_

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We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Celonis Culture & Jobs | JobsByCulture

# Celonis Culture & Jobs | JobsByCulture

> Celonis engineering culture: 3.8 Glassdoor, 3.8 WLB, process mining AI unicorn at $13B valuation. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/celonis
Markdown: https://jobsbyculture.com/companies/celonis.md
Last updated: 2026-07-14

---
![Celonis logo](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

# Celonis

Process Mining AI — Germany's Most Valuable Startup at $13B

The consensus on Celonis: Strong learning culture and great team dynamics with real internal mobility, but below-market compensation and frequent reorganizations create frustration.

2011

Founded

Munich

Headquarters

~3,800

Employees

$13B

Valuation

Free Work at Celonis? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Celonis

Celonis is a Munich-based process mining and execution management platform that essentially created the process mining category. Founded by three TU Munich students in 2011, it grew into Germany's most valuable startup at $13B. The culture emphasizes continuous learning and internal mobility, with strong team bonds across offices. However, compensation consistently trails market rates for a company of its valuation, and frequent reorganizations can make it hard to build sustained momentum on projects.

[Learning](https://jobsbyculture.com/values/learning) [Equity](https://jobsbyculture.com/values/equity) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Product Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Celonis Glassdoor Ratings & _Employee Reviews_

3.8

Overall Glassdoor Score

Based on employee reviews

Culture & Values 4.0

Compensation & Benefits 3.4

Senior Management 3.5

Career Opportunities 4.0

Work-Life Balance 3.8

Overall Rating 3.8

72% Recommend to a Friend

Employee Review Themes

## Working at Celonis: _Pros & Cons_

### ✓ What employees love

-   ✓Strong L&D programs and genuine internal mobility opportunities
-   ✓Great team culture — collaborative, smart, and supportive colleagues
-   ✓Working on a category-defining product with real enterprise impact
-   ✓International presence with opportunities to work across offices

### ✗ What could be better

-   ✗Below-market compensation — pay lags behind similar-stage companies
-   ✗Frequent reorganizations disrupt teams and create strategic whiplash
-   ✗Growing pains at scale — processes haven't kept up with headcount

Open Positions

## Join the _Celonis_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=celonis)

Explore More

## Related _content_

### Blog Posts

-   [→ OpenAI's $122B Round: What It Means for AI Jobs & Who's Hiring](https://jobsbyculture.com/blog/openai-122b-funding-ai-jobs-2026)
-   [→ Oracle Layoffs 2026: 30,000 Jobs Cut — Where to Look Next Based on Culture](https://jobsbyculture.com/blog/oracle-layoffs-2026)
-   [→ Celonis in 2026: 3,800 Employees, $13B Valuation, Salary & Culture](https://jobsbyculture.com/blog/working-at-celonis-2026)

### Compare Celonis

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-   [→ Celonis vs Granola](https://jobsbyculture.com/compare/celonis-vs-granola)
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-   [→ Celonis vs Lambda](https://jobsbyculture.com/compare/celonis-vs-lambda)
-   [→ Celonis vs LangChain](https://jobsbyculture.com/compare/celonis-vs-langchain)
-   [→ Celonis vs Linear](https://jobsbyculture.com/compare/celonis-vs-linear)
-   [→ Celonis vs Lovable](https://jobsbyculture.com/compare/celonis-vs-lovable)
-   [→ Celonis vs Mercor](https://jobsbyculture.com/compare/celonis-vs-mercor)
-   [→ Celonis vs Mercury](https://jobsbyculture.com/compare/celonis-vs-mercury)
-   [→ Celonis vs Mistral AI](https://jobsbyculture.com/compare/celonis-vs-mistral)
-   [→ Celonis vs Modal](https://jobsbyculture.com/compare/celonis-vs-modal)
-   [→ Celonis vs MongoDB](https://jobsbyculture.com/compare/celonis-vs-mongodb)
-   [→ Celonis vs n8n](https://jobsbyculture.com/compare/celonis-vs-n8n)
-   [→ Celonis vs Navan](https://jobsbyculture.com/compare/celonis-vs-navan)
-   [→ Celonis vs Notion](https://jobsbyculture.com/compare/celonis-vs-notion)
-   [→ Celonis vs OpenAI](https://jobsbyculture.com/compare/celonis-vs-openai)
-   [→ Celonis vs Perplexity AI](https://jobsbyculture.com/compare/celonis-vs-perplexity)
-   [→ Celonis vs Pinecone](https://jobsbyculture.com/compare/celonis-vs-pinecone)
-   [→ Celonis vs Plaid](https://jobsbyculture.com/compare/celonis-vs-plaid)
-   [→ Celonis vs Poolside AI](https://jobsbyculture.com/compare/celonis-vs-poolside)
-   [→ Celonis vs PostHog](https://jobsbyculture.com/compare/celonis-vs-posthog)
-   [→ Celonis vs Pylon](https://jobsbyculture.com/compare/celonis-vs-pylon)
-   [→ Celonis vs Ramp](https://jobsbyculture.com/compare/celonis-vs-ramp)
-   [→ Celonis vs Replit](https://jobsbyculture.com/compare/celonis-vs-replit)
-   [→ Celonis vs Runway](https://jobsbyculture.com/compare/celonis-vs-runway)
-   [→ Celonis vs Samsara](https://jobsbyculture.com/compare/celonis-vs-samsara)
-   [→ Celonis vs Scale AI](https://jobsbyculture.com/compare/celonis-vs-scale)
-   [→ Celonis vs Sierra AI](https://jobsbyculture.com/compare/celonis-vs-sierra)
-   [→ Celonis vs Snowflake](https://jobsbyculture.com/compare/celonis-vs-snowflake)
-   [→ Celonis vs Stripe](https://jobsbyculture.com/compare/celonis-vs-stripe)
-   [→ Celonis vs Suno](https://jobsbyculture.com/compare/celonis-vs-suno)
-   [→ Celonis vs Supabase](https://jobsbyculture.com/compare/celonis-vs-supabase)
-   [→ Celonis vs Synthesia](https://jobsbyculture.com/compare/celonis-vs-synthesia)
-   [→ Celonis vs Tailscale](https://jobsbyculture.com/compare/celonis-vs-tailscale)
-   [→ Celonis vs Together AI](https://jobsbyculture.com/compare/celonis-vs-together)
-   [→ Celonis vs Twilio](https://jobsbyculture.com/compare/celonis-vs-twilio)
-   [→ Celonis vs Vanta](https://jobsbyculture.com/compare/celonis-vs-vanta)
-   [→ Celonis vs Vast AI](https://jobsbyculture.com/compare/celonis-vs-vast)
-   [→ Celonis vs Vercel](https://jobsbyculture.com/compare/celonis-vs-vercel)
-   [→ Celonis vs Wayve](https://jobsbyculture.com/compare/celonis-vs-wayve)
-   [→ Celonis vs Weaviate](https://jobsbyculture.com/compare/celonis-vs-weaviate)
-   [→ Celonis vs Webflow](https://jobsbyculture.com/compare/celonis-vs-webflow)
-   [→ Celonis vs Writer](https://jobsbyculture.com/compare/celonis-vs-writer)



🏢

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## Document: Cerebras Systems Glassdoor, Culture & Careers 2026 | JobsByCulture

# Cerebras Systems Glassdoor, Culture & Careers 2026 | JobsByCulture

> Cerebras Systems company profile: 4.0 Glassdoor, ~700 employees. Work-life balance, culture reviews, and open careers at the AI chip design & inference company.

Source: https://jobsbyculture.com/companies/cerebras
Markdown: https://jobsbyculture.com/companies/cerebras.md
Last updated: 2026-07-14

---
![Cerebras Systems logo](https://www.google.com/s2/favicons?domain=cerebras.ai&sz=128)

# Cerebras Systems

AI Chip Design & Inference — The NVIDIA Challenger

The consensus on Cerebras: Amazing talent with a great spirit of mentoring and collaboration — freedom to do your best work. A real NVIDIA challenger in AI hardware.

Sunnyvale

Headquarters

~1,000

Employees

4.0

Glassdoor

Free Work at Cerebras? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Cerebras

Cerebras Systems builds the world's largest and fastest AI processors, challenging NVIDIA in the AI chip market. Based in Sunnyvale with ~700 employees, the culture emphasizes strong mentorship and collaboration. Engineers work in small, self-managed teams with real autonomy. The WLB score of 3.8/5 is above average for AI companies, though aggressive timelines and recent organizational changes are noted concerns.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Learning Culture](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Cerebras Glassdoor Ratings & _Employee Reviews_

4.0

Overall Glassdoor Score

Based on 56 reviews

Culture & Values4.0

Work-Life Balance3.8

Compensation & Benefits4.0

Career Opportunities3.8

Senior Management3.5

Overall Rating4.0

Employee Review Themes

## Working at Cerebras: _Pros & Cons_

### ✓ What employees love

-   ✓Strong mentorship culture with collaborative engineering teams
-   ✓Meaningful hardware + AI work — real NVIDIA challenger
-   ✓Collaborative culture with strong mentorship
-   ✓Autonomy in small self-managed teams

### ✗ What could be better

-   ✗Top-down decisions with aggressive timelines
-   ✗Workload pressure as the company scales fast against NVIDIA
-   ✗Hardware development cycles can create stressful crunch periods
-   ✗Communication can be uneven across teams as headcount grows

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Verilog/ASICC/C++Python

#### Product

Wafer-Scale Engine (WSE) — the world's largest chip for AI training and inference. Purpose-built hardware that outperforms GPU clusters on key workloads.

#### AI & ML

Full-stack AI acceleration: custom silicon, compiler, runtime, and software stack optimized for large-scale model training and inference. [Learn more →](https://cerebras.ai?ref=jobsbyculture.com)

#### Team Structure

~700 employees across hardware and software engineering. Small, self-managed teams with strong mentorship. Engineers have autonomy to do their best work.

Open Positions

## Join the _Cerebras_ team

Explore open roles at Cerebras below.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=cerebras)

Explore More

## Related _content_

### Blog Posts

-   [→ The AI Infrastructure Hiring Boom: 650,000 Jobs, $700B in Capex & Who's Winning the Talent War](https://jobsbyculture.com/blog/ai-infrastructure-hiring-boom-2026)
-   [→ Fastest-Growing Tech Companies Hiring in 2026: Who’s Scaling the Fastest](https://jobsbyculture.com/blog/fastest-growing-tech-companies-2026)
-   [→ LLM Inference Optimization: The 5 Techniques That Cut Cost 5-10x and Latency 3-5x (2026)](https://jobsbyculture.com/blog/llm-inference-optimization-guide-2026)
-   [→ The Two-Speed Tech Hiring Market in 2026: AI vs Everything Else](https://jobsbyculture.com/blog/two-speed-tech-hiring-market-2026)
-   [→ Working at Cerebras Systems in 2026: IPO, Culture, Salary & Engineering](https://jobsbyculture.com/blog/working-at-cerebras-2026)

### Compare Cerebras Systems

-   [→ Cerebras Systems vs Abridge](https://jobsbyculture.com/compare/abridge-vs-cerebras)
-   [→ Cerebras Systems vs Adyen](https://jobsbyculture.com/compare/adyen-vs-cerebras)
-   [→ Cerebras Systems vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-cerebras)
-   [→ Cerebras Systems vs Airtable](https://jobsbyculture.com/compare/airtable-vs-cerebras)
-   [→ Cerebras Systems vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-cerebras)
-   [→ Cerebras Systems vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-cerebras)
-   [→ Cerebras Systems vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-cerebras)
-   [→ Cerebras Systems vs Asana](https://jobsbyculture.com/compare/asana-vs-cerebras)
-   [→ Cerebras Systems vs Baseten](https://jobsbyculture.com/compare/baseten-vs-cerebras)
-   [→ Cerebras Systems vs Brex](https://jobsbyculture.com/compare/brex-vs-cerebras)
-   [→ Cerebras Systems vs Celonis](https://jobsbyculture.com/compare/celonis-vs-cerebras)
-   [→ Cerebras Systems vs Chainguard](https://jobsbyculture.com/compare/cerebras-vs-chainguard)
-   [→ Cerebras Systems vs Cloudflare](https://jobsbyculture.com/compare/cerebras-vs-cloudflare)
-   [→ Cerebras Systems vs Cognition AI](https://jobsbyculture.com/compare/cerebras-vs-cognition)
-   [→ Cerebras Systems vs Cohere](https://jobsbyculture.com/compare/cerebras-vs-cohere)
-   [→ Cerebras Systems vs Contentful](https://jobsbyculture.com/compare/cerebras-vs-contentful)
-   [→ Cerebras Systems vs CoreWeave](https://jobsbyculture.com/compare/cerebras-vs-coreweave)
-   [→ Cerebras Systems vs Cresta](https://jobsbyculture.com/compare/cerebras-vs-cresta)
-   [→ Cerebras Systems vs Crusoe](https://jobsbyculture.com/compare/cerebras-vs-crusoe)
-   [→ Cerebras Systems vs Cursor](https://jobsbyculture.com/compare/cerebras-vs-cursor)
-   [→ Cerebras Systems vs Databricks](https://jobsbyculture.com/compare/cerebras-vs-databricks)
-   [→ Cerebras Systems vs Datadog](https://jobsbyculture.com/compare/cerebras-vs-datadog)
-   [→ Cerebras Systems vs Decagon](https://jobsbyculture.com/compare/cerebras-vs-decagon)
-   [→ Cerebras Systems vs DeepL](https://jobsbyculture.com/compare/cerebras-vs-deepl)
-   [→ Cerebras Systems vs DeepMind](https://jobsbyculture.com/compare/cerebras-vs-deepmind)
-   [→ Cerebras Systems vs Descript](https://jobsbyculture.com/compare/cerebras-vs-descript)
-   [→ Cerebras Systems vs Doctolib](https://jobsbyculture.com/compare/cerebras-vs-doctolib)
-   [→ Cerebras Systems vs Elastic](https://jobsbyculture.com/compare/cerebras-vs-elastic)
-   [→ Cerebras Systems vs ElevenLabs](https://jobsbyculture.com/compare/cerebras-vs-elevenlabs)
-   [→ Cerebras Systems vs Figma](https://jobsbyculture.com/compare/cerebras-vs-figma)
-   [→ Cerebras Systems vs Fireworks AI](https://jobsbyculture.com/compare/cerebras-vs-fireworksai)
-   [→ Cerebras Systems vs GitLab](https://jobsbyculture.com/compare/cerebras-vs-gitlab)
-   [→ Cerebras Systems vs Glean](https://jobsbyculture.com/compare/cerebras-vs-glean)
-   [→ Cerebras Systems vs Grafana Labs](https://jobsbyculture.com/compare/cerebras-vs-grafanalabs)
-   [→ Cerebras Systems vs Granola](https://jobsbyculture.com/compare/cerebras-vs-granola)
-   [→ Cerebras Systems vs Harvey AI](https://jobsbyculture.com/compare/cerebras-vs-harvey)
-   [→ Cerebras Systems vs Hebbia](https://jobsbyculture.com/compare/cerebras-vs-hebbia)
-   [→ Cerebras Systems vs Helsing](https://jobsbyculture.com/compare/cerebras-vs-helsing)
-   [→ Cerebras Systems vs HubSpot](https://jobsbyculture.com/compare/cerebras-vs-hubspot)
-   [→ Cerebras Systems vs Hugging Face](https://jobsbyculture.com/compare/cerebras-vs-huggingface)
-   [→ Cerebras Systems vs incident.io](https://jobsbyculture.com/compare/cerebras-vs-incidentio)
-   [→ Cerebras Systems vs Labelbox](https://jobsbyculture.com/compare/cerebras-vs-labelbox)
-   [→ Cerebras Systems vs Lambda](https://jobsbyculture.com/compare/cerebras-vs-lambda)
-   [→ Cerebras Systems vs LangChain](https://jobsbyculture.com/compare/cerebras-vs-langchain)
-   [→ Cerebras Systems vs Linear](https://jobsbyculture.com/compare/cerebras-vs-linear)
-   [→ Cerebras Systems vs Lovable](https://jobsbyculture.com/compare/cerebras-vs-lovable)
-   [→ Cerebras Systems vs Mercor](https://jobsbyculture.com/compare/cerebras-vs-mercor)
-   [→ Cerebras Systems vs Mercury](https://jobsbyculture.com/compare/cerebras-vs-mercury)
-   [→ Cerebras Systems vs Mistral AI](https://jobsbyculture.com/compare/cerebras-vs-mistral)
-   [→ Cerebras Systems vs Modal](https://jobsbyculture.com/compare/cerebras-vs-modal)
-   [→ Cerebras Systems vs MongoDB](https://jobsbyculture.com/compare/cerebras-vs-mongodb)
-   [→ Cerebras Systems vs n8n](https://jobsbyculture.com/compare/cerebras-vs-n8n)
-   [→ Cerebras Systems vs Navan](https://jobsbyculture.com/compare/cerebras-vs-navan)
-   [→ Cerebras Systems vs Notion](https://jobsbyculture.com/compare/cerebras-vs-notion)
-   [→ Cerebras Systems vs OpenAI](https://jobsbyculture.com/compare/cerebras-vs-openai)
-   [→ Cerebras Systems vs Perplexity AI](https://jobsbyculture.com/compare/cerebras-vs-perplexity)
-   [→ Cerebras Systems vs Pinecone](https://jobsbyculture.com/compare/cerebras-vs-pinecone)
-   [→ Cerebras Systems vs Plaid](https://jobsbyculture.com/compare/cerebras-vs-plaid)
-   [→ Cerebras Systems vs Poolside AI](https://jobsbyculture.com/compare/cerebras-vs-poolside)
-   [→ Cerebras Systems vs PostHog](https://jobsbyculture.com/compare/cerebras-vs-posthog)
-   [→ Cerebras Systems vs Pylon](https://jobsbyculture.com/compare/cerebras-vs-pylon)
-   [→ Cerebras Systems vs Ramp](https://jobsbyculture.com/compare/cerebras-vs-ramp)
-   [→ Cerebras Systems vs Replit](https://jobsbyculture.com/compare/cerebras-vs-replit)
-   [→ Cerebras Systems vs Runway](https://jobsbyculture.com/compare/cerebras-vs-runway)
-   [→ Cerebras Systems vs Samsara](https://jobsbyculture.com/compare/cerebras-vs-samsara)
-   [→ Cerebras Systems vs Scale AI](https://jobsbyculture.com/compare/cerebras-vs-scale)
-   [→ Cerebras Systems vs Sierra AI](https://jobsbyculture.com/compare/cerebras-vs-sierra)
-   [→ Cerebras Systems vs Snowflake](https://jobsbyculture.com/compare/cerebras-vs-snowflake)
-   [→ Cerebras Systems vs Stripe](https://jobsbyculture.com/compare/cerebras-vs-stripe)
-   [→ Cerebras Systems vs Suno](https://jobsbyculture.com/compare/cerebras-vs-suno)
-   [→ Cerebras Systems vs Supabase](https://jobsbyculture.com/compare/cerebras-vs-supabase)
-   [→ Cerebras Systems vs Synthesia](https://jobsbyculture.com/compare/cerebras-vs-synthesia)
-   [→ Cerebras Systems vs Tailscale](https://jobsbyculture.com/compare/cerebras-vs-tailscale)
-   [→ Cerebras Systems vs Together AI](https://jobsbyculture.com/compare/cerebras-vs-together)
-   [→ Cerebras Systems vs Twilio](https://jobsbyculture.com/compare/cerebras-vs-twilio)
-   [→ Cerebras Systems vs Vanta](https://jobsbyculture.com/compare/cerebras-vs-vanta)
-   [→ Cerebras Systems vs Vast AI](https://jobsbyculture.com/compare/cerebras-vs-vast)
-   [→ Cerebras Systems vs Vercel](https://jobsbyculture.com/compare/cerebras-vs-vercel)
-   [→ Cerebras Systems vs Wayve](https://jobsbyculture.com/compare/cerebras-vs-wayve)
-   [→ Cerebras Systems vs Weaviate](https://jobsbyculture.com/compare/cerebras-vs-weaviate)
-   [→ Cerebras Systems vs Webflow](https://jobsbyculture.com/compare/cerebras-vs-webflow)
-   [→ Cerebras Systems vs Writer](https://jobsbyculture.com/compare/cerebras-vs-writer)



🏢

### Claim _Cerebras_

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✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Chainguard Glassdoor, Culture & Careers 2026 | JobsByCulture

# Chainguard Glassdoor, Culture & Careers 2026 | JobsByCulture

> Chainguard company profile: 4.5 Glassdoor, ~350 employees, $150k–$350k comp. Work-life balance, culture reviews, and open careers at the supply chain security leader.

Source: https://jobsbyculture.com/companies/chainguard
Markdown: https://jobsbyculture.com/companies/chainguard.md
Last updated: 2026-07-14

---
![Chainguard logo](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

# Chainguard

Supply Chain Security — The Safe Source for All Open Source

Supply chain security company building the safe source for all open source. Makes hardened container images and tools to secure the software supply chain.

2021

Founded

Remote (Global)

Headquarters

~500

Employees

~$3.5B

Valuation

Free Work at Chainguard? Claim this profile

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Culture Overview

## What it's _really_ like to work at Chainguard

Founded in 2021 by Dan Lorenc, Matt Moore, Scott Nichols, Kim Lewandowski, and Ville Aikas — all ex-Google open-source and security leaders — Chainguard is building the safe source for all open source. The culture is deeply engineering-driven with founders who are practitioners, not just business people. As a fully remote team of about 500 across many countries, Chainguard balances autonomy and collaboration with a strong commitment to open-source values.

[Remote](https://jobsbyculture.com/values/remote) [Open-Source](https://jobsbyculture.com/values/open-source) [Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Strong Equity](https://jobsbyculture.com/values/equity) [Work-Life Balance](https://jobsbyculture.com/values/wlb)

Glassdoor Ratings

## Chainguard Glassdoor Ratings & _Employee Reviews_

4.5

Overall Glassdoor Score

Based on 49 reviews

Culture & Values 4.3

Work-Life Balance 4.2

Compensation & Benefits 4.8

Career Opportunities 3.8

Senior Management 4.2

Overall Rating 4.5

89% Recommend to a Friend

~88% CEO Approval

Employee Review Themes

## Working at Chainguard: _Pros & Cons_

### ✓ What employees love

-   ✓ Fully remote with excellent benefits — 100% employer-paid health/dental/vision for employees and families
-   ✓ Founders are security practitioners who understand what engineers need
-   ✓ Strong open-source DNA — core product secures the software supply chain
-   ✓ Outstanding compensation and equity — $3.5B valuation with generous packages

### ✗ What could be better

-   ✗ Hypergrowth means some processes and tooling are still maturing
-   ✗ Fully remote can feel isolating — limited in-person opportunities
-   ✗ Sales org reviews are more mixed than engineering
-   ✗ Fast pace means there's always more work than people to do it

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Go Kubernetes Sigstore Cosign

#### Product

Chainguard Images — hardened, minimal container images with zero known CVEs. Enterprise-grade software supply chain security.

#### Open Source

Core maintainers of Sigstore, Cosign, and other supply chain security tools. Open-source is fundamental to the company's mission. [Learn more →](https://chainguard.dev/?ref=jobsbyculture.com)

#### Team Structure

Fully remote, ~350 people. Engineering-led with founders who are active technical contributors. Strong culture of ownership and collaboration.

Open Positions

## Join the _Chainguard_ team

Explore open roles at Chainguard below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=chainguard)

Explore More

## Related _content_

### Blog Posts

-   [→ Best Tech Companies for Working Parents in 2026: Parental Leave, Flexibility & Culture](https://jobsbyculture.com/blog/best-tech-companies-for-parents-2026)
-   [→ Only 19% of AI Companies Are Genuinely Remote-First: Our Data Across 118 Companies](https://jobsbyculture.com/blog/remote-work-ai-companies-data-2026)
-   [→ Working at Chainguard in 2026: The Security Unicorn Making Open Source Safe by Default](https://jobsbyculture.com/blog/working-at-chainguard-2026)

### Compare Chainguard

-   [→ Chainguard vs Abridge](https://jobsbyculture.com/compare/abridge-vs-chainguard)
-   [→ Chainguard vs Adyen](https://jobsbyculture.com/compare/adyen-vs-chainguard)
-   [→ Chainguard vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-chainguard)
-   [→ Chainguard vs Airtable](https://jobsbyculture.com/compare/airtable-vs-chainguard)
-   [→ Chainguard vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-chainguard)
-   [→ Chainguard vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-chainguard)
-   [→ Chainguard vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-chainguard)
-   [→ Chainguard vs Asana](https://jobsbyculture.com/compare/asana-vs-chainguard)
-   [→ Chainguard vs Baseten](https://jobsbyculture.com/compare/baseten-vs-chainguard)
-   [→ Chainguard vs Brex](https://jobsbyculture.com/compare/brex-vs-chainguard)
-   [→ Chainguard vs Celonis](https://jobsbyculture.com/compare/celonis-vs-chainguard)
-   [→ Chainguard vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-chainguard)
-   [→ Chainguard vs Cloudflare](https://jobsbyculture.com/compare/chainguard-vs-cloudflare)
-   [→ Chainguard vs Cognition AI](https://jobsbyculture.com/compare/chainguard-vs-cognition)
-   [→ Chainguard vs Cohere](https://jobsbyculture.com/compare/chainguard-vs-cohere)
-   [→ Chainguard vs Contentful](https://jobsbyculture.com/compare/chainguard-vs-contentful)
-   [→ Chainguard vs CoreWeave](https://jobsbyculture.com/compare/chainguard-vs-coreweave)
-   [→ Chainguard vs Cresta](https://jobsbyculture.com/compare/chainguard-vs-cresta)
-   [→ Chainguard vs Crusoe](https://jobsbyculture.com/compare/chainguard-vs-crusoe)
-   [→ Chainguard vs Cursor](https://jobsbyculture.com/compare/chainguard-vs-cursor)
-   [→ Chainguard vs Databricks](https://jobsbyculture.com/compare/chainguard-vs-databricks)
-   [→ Chainguard vs Datadog](https://jobsbyculture.com/compare/chainguard-vs-datadog)
-   [→ Chainguard vs Decagon](https://jobsbyculture.com/compare/chainguard-vs-decagon)
-   [→ Chainguard vs DeepL](https://jobsbyculture.com/compare/chainguard-vs-deepl)
-   [→ Chainguard vs DeepMind](https://jobsbyculture.com/compare/chainguard-vs-deepmind)
-   [→ Chainguard vs Descript](https://jobsbyculture.com/compare/chainguard-vs-descript)
-   [→ Chainguard vs Doctolib](https://jobsbyculture.com/compare/chainguard-vs-doctolib)
-   [→ Chainguard vs Elastic](https://jobsbyculture.com/compare/chainguard-vs-elastic)
-   [→ Chainguard vs ElevenLabs](https://jobsbyculture.com/compare/chainguard-vs-elevenlabs)
-   [→ Chainguard vs Figma](https://jobsbyculture.com/compare/chainguard-vs-figma)
-   [→ Chainguard vs Fireworks AI](https://jobsbyculture.com/compare/chainguard-vs-fireworksai)
-   [→ Chainguard vs GitLab](https://jobsbyculture.com/compare/chainguard-vs-gitlab)
-   [→ Chainguard vs Glean](https://jobsbyculture.com/compare/chainguard-vs-glean)
-   [→ Chainguard vs Grafana Labs](https://jobsbyculture.com/compare/chainguard-vs-grafanalabs)
-   [→ Chainguard vs Granola](https://jobsbyculture.com/compare/chainguard-vs-granola)
-   [→ Chainguard vs Harvey AI](https://jobsbyculture.com/compare/chainguard-vs-harvey)
-   [→ Chainguard vs Hebbia](https://jobsbyculture.com/compare/chainguard-vs-hebbia)
-   [→ Chainguard vs Helsing](https://jobsbyculture.com/compare/chainguard-vs-helsing)
-   [→ Chainguard vs HubSpot](https://jobsbyculture.com/compare/chainguard-vs-hubspot)
-   [→ Chainguard vs Hugging Face](https://jobsbyculture.com/compare/chainguard-vs-huggingface)
-   [→ Chainguard vs incident.io](https://jobsbyculture.com/compare/chainguard-vs-incidentio)
-   [→ Chainguard vs Labelbox](https://jobsbyculture.com/compare/chainguard-vs-labelbox)
-   [→ Chainguard vs Lambda](https://jobsbyculture.com/compare/chainguard-vs-lambda)
-   [→ Chainguard vs LangChain](https://jobsbyculture.com/compare/chainguard-vs-langchain)
-   [→ Chainguard vs Linear](https://jobsbyculture.com/compare/chainguard-vs-linear)
-   [→ Chainguard vs Lovable](https://jobsbyculture.com/compare/chainguard-vs-lovable)
-   [→ Chainguard vs Mercor](https://jobsbyculture.com/compare/chainguard-vs-mercor)
-   [→ Chainguard vs Mercury](https://jobsbyculture.com/compare/chainguard-vs-mercury)
-   [→ Chainguard vs Mistral AI](https://jobsbyculture.com/compare/chainguard-vs-mistral)
-   [→ Chainguard vs Modal](https://jobsbyculture.com/compare/chainguard-vs-modal)
-   [→ Chainguard vs MongoDB](https://jobsbyculture.com/compare/chainguard-vs-mongodb)
-   [→ Chainguard vs n8n](https://jobsbyculture.com/compare/chainguard-vs-n8n)
-   [→ Chainguard vs Navan](https://jobsbyculture.com/compare/chainguard-vs-navan)
-   [→ Chainguard vs Notion](https://jobsbyculture.com/compare/chainguard-vs-notion)
-   [→ Chainguard vs OpenAI](https://jobsbyculture.com/compare/chainguard-vs-openai)
-   [→ Chainguard vs Perplexity AI](https://jobsbyculture.com/compare/chainguard-vs-perplexity)
-   [→ Chainguard vs Pinecone](https://jobsbyculture.com/compare/chainguard-vs-pinecone)
-   [→ Chainguard vs Plaid](https://jobsbyculture.com/compare/chainguard-vs-plaid)
-   [→ Chainguard vs Poolside AI](https://jobsbyculture.com/compare/chainguard-vs-poolside)
-   [→ Chainguard vs PostHog](https://jobsbyculture.com/compare/chainguard-vs-posthog)
-   [→ Chainguard vs Pylon](https://jobsbyculture.com/compare/chainguard-vs-pylon)
-   [→ Chainguard vs Ramp](https://jobsbyculture.com/compare/chainguard-vs-ramp)
-   [→ Chainguard vs Replit](https://jobsbyculture.com/compare/chainguard-vs-replit)
-   [→ Chainguard vs Runway](https://jobsbyculture.com/compare/chainguard-vs-runway)
-   [→ Chainguard vs Samsara](https://jobsbyculture.com/compare/chainguard-vs-samsara)
-   [→ Chainguard vs Scale AI](https://jobsbyculture.com/compare/chainguard-vs-scale)
-   [→ Chainguard vs Sierra AI](https://jobsbyculture.com/compare/chainguard-vs-sierra)
-   [→ Chainguard vs Snowflake](https://jobsbyculture.com/compare/chainguard-vs-snowflake)
-   [→ Chainguard vs Stripe](https://jobsbyculture.com/compare/chainguard-vs-stripe)
-   [→ Chainguard vs Suno](https://jobsbyculture.com/compare/chainguard-vs-suno)
-   [→ Chainguard vs Supabase](https://jobsbyculture.com/compare/chainguard-vs-supabase)
-   [→ Chainguard vs Synthesia](https://jobsbyculture.com/compare/chainguard-vs-synthesia)
-   [→ Chainguard vs Tailscale](https://jobsbyculture.com/compare/chainguard-vs-tailscale)
-   [→ Chainguard vs Together AI](https://jobsbyculture.com/compare/chainguard-vs-together)
-   [→ Chainguard vs Twilio](https://jobsbyculture.com/compare/chainguard-vs-twilio)
-   [→ Chainguard vs Vanta](https://jobsbyculture.com/compare/chainguard-vs-vanta)
-   [→ Chainguard vs Vast AI](https://jobsbyculture.com/compare/chainguard-vs-vast)
-   [→ Chainguard vs Vercel](https://jobsbyculture.com/compare/chainguard-vs-vercel)
-   [→ Chainguard vs Wayve](https://jobsbyculture.com/compare/chainguard-vs-wayve)
-   [→ Chainguard vs Weaviate](https://jobsbyculture.com/compare/chainguard-vs-weaviate)
-   [→ Chainguard vs Webflow](https://jobsbyculture.com/compare/chainguard-vs-webflow)
-   [→ Chainguard vs Writer](https://jobsbyculture.com/compare/chainguard-vs-writer)



🏢

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## Document: Character AI Culture & Jobs | JobsByCulture

# Character AI Culture & Jobs | JobsByCulture

> Character AI engineering culture: 3.4 Glassdoor, conversational AI platform, experienced AI/ML engineering team. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/character
Markdown: https://jobsbyculture.com/companies/character.md
Last updated: 2026-07-14

---
![Character AI logo](https://www.google.com/s2/favicons?domain=character.ai&sz=128)

# Character AI

Conversational AI Platform — Building Open-Ended AI Characters for Millions of Users

Deep AI research pedigree meets consumer product turbulence. Choose Character AI if you want cutting-edge NLP research — but go in with open eyes about the organizational instability.

2021

Founded

Palo Alto, CA

Headquarters

~100

Employees (post-Google deal)

$193M

Funding Raised

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Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Character AI

Character AI was founded in 2021 by Noam Shazeer and Daniel De Freitas, former Google Brain researchers who helped create the Transformer architecture. The company builds conversational AI characters that millions of users interact with daily, making it one of the most popular consumer AI apps globally. The culture reflects its research origins — deep technical expertise and ambitious goals. In August 2024, Google paid roughly $2.7B for a non-exclusive license to Character.AI's technology and rehired co-founders Shazeer and De Freitas along with about 20% of staff. The remaining team, now led by interim CEO Dominic Perella, has shifted focus from racing to build large language models toward its consumer-facing chatbot platform. Glassdoor data reflects the turbulence: a 3.4 overall and lower work-life balance ratings.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Product Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Character AI Glassdoor Ratings & _Employee Reviews_

3.4

Overall Glassdoor Score

Based on 8 Glassdoor reviews

Compensation & Benefits 3.6

Work-Life Balance 3.0

Overall Rating 3.4

47% Recommend to a Friend

Employee Review Themes

## Working at Character AI: _Pros & Cons_

### ✓ What employees love

-   ✓ Founded by ex-Google Brain researchers — deep AI expertise and Transformer pedigree
-   ✓ One of the most popular consumer AI apps globally with millions of daily users
-   ✓ Good compensation with 401k match
-   ✓ Smart, talented coworkers working on cutting-edge NLP problems

### ✗ What could be better

-   ✗ Co-founders and ~20% of staff departed to Google in Aug 2024 licensing deal, with significant leadership churn since
-   ✗ Only 47% of employees recommend — well below industry average
-   ✗ Work-life balance rated very low, especially for technical staff
-   ✗ Organizational instability — constant restructuring and shifting priorities

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python PyTorch CUDA LLMs

#### Research Heritage

Founded by Noam Shazeer (co-author of the original Transformer paper) and Daniel De Freitas. Deep roots in large language model research from Google Brain.

#### Product Scale

One of the most-visited AI apps globally. Engineers ship features to millions of daily active users, with direct product impact on conversational AI experiences.

#### Team Structure

Small, fast-moving teams focused on model training, inference optimization, and product features. Engineers are expected to ship quickly in a high-intensity environment.

Open Positions

## Join the _Character AI_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=character)

Explore More

## Related _content_

### Blog Posts

-   [→ Character AI Compensation 2026: Salary, Equity & What Engineers Actually Make](https://jobsbyculture.com/blog/character-ai-compensation-2026)



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---

## Document: Chime Glassdoor, Culture & Careers 2026 | JobsByCulture

# Chime Glassdoor, Culture & Careers 2026 | JobsByCulture

> Chime company profile: 4.0 Glassdoor, ~1,800 employees, mission-driven fintech. Work-life balance 4.1/5, culture reviews, and open careers at Chime.

Source: https://jobsbyculture.com/companies/chime
Markdown: https://jobsbyculture.com/companies/chime.md
Last updated: 2026-07-14

---
![Chime logo](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

# Chime

Mission-Driven Fintech — Banking for Everyday Americans

The consensus on Chime: genuine social impact mission helping millions of everyday Americans, strong work-life balance (4.1/5), and a large engineering org — though career growth paths are limited and culture is reportedly shifting post-IPO.

2012

Founded

San Francisco

Headquarters

~2,400

Employees

4.0 / 5

Glassdoor

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Culture Overview

## What it's _really_ like to work at Chime

Founded in 2012 by Chris Britt and Ryan King, Chime is a mission-driven fintech helping everyday Americans — especially those underserved by traditional banking — build financial progress through no-fee banking, early paycheck access, and credit-building tools. Chime went public on Nasdaq (CHYM) in June 2025 and serves more than 8 million active members. The engineering org is substantial — one of the largest functions in the company — with real product ownership. Glassdoor work-life balance sits at 4.1/5, backed by concrete policies: monthly "Take Care of Yourself Days," 16 weeks parental leave, and fertility/adoption assistance. The tradeoff: career growth paths are described as very limited, and the culture is reportedly shifting post-IPO from employee-first toward output-driven.

[Work-Life Balance](https://jobsbyculture.com/values/wlb) [Mission-Driven](https://jobsbyculture.com/values/social-impact) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven)

Glassdoor Ratings

## Chime Glassdoor Ratings & _Employee Reviews_

4.0

Overall Glassdoor Score

Based on 296+ reviews

Work-Life Balance 4.1

Culture & Values 4.0

Compensation & Benefits 4.1

Career Opportunities 3.6

Overall Rating 4.0

82% Recommend to a Friend

Employee Review Themes

## Working at Chime: _Pros & Cons_

### ✓ What employees love

-   ✓ Genuine social impact mission — helping 7M+ Americans with no-fee banking that actually matters
-   ✓ Strong WLB: monthly "Take Care of Yourself Days," 16 weeks parental leave, therapy & coaching
-   ✓ Large engineering org (32% of company) with meaningful product ownership
-   ✓ Named to Built In Best Places to Work across 8 national and city-level lists

### ✗ What could be better

-   ✗ Career growth described as "very limited" across most teams — promotion paths unclear
-   ✗ Past layoffs (12% cut in late 2022) and ongoing reorgs; leadership clarity on product roadmap questioned
-   ✗ Culture reportedly shifting post-IPO from employee-first to output-extraction mentality
-   ✗ Diversity concerns in engineering org at IC and leadership levels flagged in reviews

Engineering Culture

## How the _engineering_ team works

#### Team Scale

~572 engineers out of ~1,800 total employees (32%). The largest function in the company, with dedicated platform, mobile, data, and product engineering teams.

#### Domain

Consumer fintech: no-fee checking/savings, early direct deposit, SpotMe overdraft protection, Credit Builder, and financial progress tooling for everyday Americans.

#### Benefits

Monthly "Take Care of Yourself" paid days off, 16 weeks fully paid parental leave, fertility and adoption assistance, therapy and coaching sessions included in benefits.

#### Mission Fit

Best suited for engineers who care about fintech for underserved communities. The social impact is real — not a side-show. Weigh against limited growth paths before applying.

Open Positions

## Join the _Chime_ team

Explore all open roles at Chime below.

🌐 Remote

✕ Clear

[Browse all Chime jobs →](https://jobsbyculture.com/jobs?company=chime)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ Best AI & Tech Companies for Engineers in 2026](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)

### Browse by Culture Value

-   [→ Work-Life Balance companies hiring now](https://jobsbyculture.com/jobs?value=wlb)
-   [→ Mission-Driven companies hiring now](https://jobsbyculture.com/jobs?value=social-impact)
-   [→ Engineering-Driven companies hiring now](https://jobsbyculture.com/jobs?value=eng-driven)
-   [→ Browse all company profiles](https://jobsbyculture.com/companies)



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---

## Document: Cloudflare Culture & Jobs | JobsByCulture

# Cloudflare Culture & Jobs | JobsByCulture

> Cloudflare engineering culture: 3.9 Glassdoor, internet infrastructure & edge computing. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/cloudflare
Markdown: https://jobsbyculture.com/companies/cloudflare.md
Last updated: 2026-07-14

---
![Cloudflare logo](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

# Cloudflare

Internet Infrastructure & Security — CDN, DDoS Protection, Edge Computing, Workers AI

The consensus on Cloudflare: Choose Cloudflare if you want meaningful product impact building critical internet infrastructure with a ship-fast culture — but expect comp to lag FAANG and uneven management quality.

2009

Founded

San Francisco

Headquarters

~5,100

Employees

NYSE: NET

Public Company

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Culture Overview

## What it's _really_ like to work at Cloudflare

Founded in 2009 by Matthew Prince, Michelle Zatlyn, and Lee Holloway, Cloudflare has grown into one of the most important internet infrastructure companies in the world. The culture is engineering-driven with a strong bias toward shipping quickly and iterating. Teams are empowered to move fast, and the company prides itself on transparency — from its public blog posts about outages to its open approach to product development. Expect smart colleagues who care deeply about making the internet better, safer, and faster.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Product Impact](https://jobsbyculture.com/values/product-impact) [Learning](https://jobsbyculture.com/values/learning) [Transparent](https://jobsbyculture.com/values/transparent)

Glassdoor Ratings

## Cloudflare Glassdoor Ratings & _Employee Reviews_

3.9

Overall Glassdoor Score

Based on employee reviews

Culture & Values 4.0

Compensation & Benefits 3.8

Senior Management 3.5

Career Opportunities 3.8

Work-Life Balance 3.7

Overall Rating 3.9

~72% Recommend to a Friend

~77% CEO Approval (Matthew Prince)

Employee Review Themes

## Working at Cloudflare: _Pros & Cons_

### ✓ What employees love

-   ✓ Mission-driven company building critical internet infrastructure — meaningful work with real impact
-   ✓ Smart colleagues and a culture that values innovation, shipping quickly, and technical excellence

### ✗ What could be better

-   ✗ Compensation can lag behind FAANG competitors, especially base salary
-   ✗ Some teams experience high pressure and demanding workloads with uneven management quality

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Go Rust C/C++ TypeScript Lua

#### Open Source & Research

Major open source contributions including CFSSL, Pingora, and quiche. Active in internet standards (IETF) and publishes research on DNS, TLS, and network performance.

#### Engineering Blog

One of the best engineering blogs in tech — deep dives on outage post-mortems, protocol internals, and edge computing. [Read the blog →](https://blog.cloudflare.com/?ref=jobsbyculture.com)

#### Team Structure

Product-oriented teams with end-to-end ownership. Engineers ship features across the global network. Strong culture of writing (design docs, RFCs) and transparency around incidents.

Open Positions

## Join the _Cloudflare_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=cloudflare)

Explore More

## Related _content_

### Blog Posts

-   [→ How AI Coding Tools Are Reshaping Developer Hiring in 2026](https://jobsbyculture.com/blog/ai-coding-tools-reshaping-developer-hiring-2026)
-   [→ AI Engineer Salary Guide 2026: What Companies Actually Pay by Level](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Becoming an AI Research Engineer in 2026: Skills, Salary, and the Honest Path](https://jobsbyculture.com/blog/becoming-ai-research-engineer-2026)
-   [→ Building a Personal Brand as a Software Engineer in 2026: The Practical Guide](https://jobsbyculture.com/blog/building-personal-brand-engineer-2026)

### Compare Cloudflare

-   [→ Cloudflare vs Abridge](https://jobsbyculture.com/compare/abridge-vs-cloudflare)
-   [→ Cloudflare vs Adyen](https://jobsbyculture.com/compare/adyen-vs-cloudflare)
-   [→ Cloudflare vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-cloudflare)
-   [→ Cloudflare vs Airtable](https://jobsbyculture.com/compare/airtable-vs-cloudflare)
-   [→ Cloudflare vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-cloudflare)
-   [→ Cloudflare vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-cloudflare)
-   [→ Cloudflare vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-cloudflare)
-   [→ Cloudflare vs Asana](https://jobsbyculture.com/compare/asana-vs-cloudflare)
-   [→ Cloudflare vs Baseten](https://jobsbyculture.com/compare/baseten-vs-cloudflare)
-   [→ Cloudflare vs Brex](https://jobsbyculture.com/compare/brex-vs-cloudflare)
-   [→ Cloudflare vs Celonis](https://jobsbyculture.com/compare/celonis-vs-cloudflare)
-   [→ Cloudflare vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-cloudflare)
-   [→ Cloudflare vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-cloudflare)
-   [→ Cloudflare vs Cognition AI](https://jobsbyculture.com/compare/cloudflare-vs-cognition)
-   [→ Cloudflare vs Cohere](https://jobsbyculture.com/compare/cloudflare-vs-cohere)
-   [→ Cloudflare vs Contentful](https://jobsbyculture.com/compare/cloudflare-vs-contentful)
-   [→ Cloudflare vs CoreWeave](https://jobsbyculture.com/compare/cloudflare-vs-coreweave)
-   [→ Cloudflare vs Cresta](https://jobsbyculture.com/compare/cloudflare-vs-cresta)
-   [→ Cloudflare vs Crusoe](https://jobsbyculture.com/compare/cloudflare-vs-crusoe)
-   [→ Cloudflare vs Cursor](https://jobsbyculture.com/compare/cloudflare-vs-cursor)
-   [→ Cloudflare vs Databricks](https://jobsbyculture.com/compare/cloudflare-vs-databricks)
-   [→ Cloudflare vs Datadog](https://jobsbyculture.com/compare/cloudflare-vs-datadog)
-   [→ Cloudflare vs Decagon](https://jobsbyculture.com/compare/cloudflare-vs-decagon)
-   [→ Cloudflare vs DeepL](https://jobsbyculture.com/compare/cloudflare-vs-deepl)
-   [→ Cloudflare vs DeepMind](https://jobsbyculture.com/compare/cloudflare-vs-deepmind)
-   [→ Cloudflare vs Descript](https://jobsbyculture.com/compare/cloudflare-vs-descript)
-   [→ Cloudflare vs Doctolib](https://jobsbyculture.com/compare/cloudflare-vs-doctolib)
-   [→ Cloudflare vs Elastic](https://jobsbyculture.com/compare/cloudflare-vs-elastic)
-   [→ Cloudflare vs ElevenLabs](https://jobsbyculture.com/compare/cloudflare-vs-elevenlabs)
-   [→ Cloudflare vs Figma](https://jobsbyculture.com/compare/cloudflare-vs-figma)
-   [→ Cloudflare vs Fireworks AI](https://jobsbyculture.com/compare/cloudflare-vs-fireworksai)
-   [→ Cloudflare vs GitLab](https://jobsbyculture.com/compare/cloudflare-vs-gitlab)
-   [→ Cloudflare vs Glean](https://jobsbyculture.com/compare/cloudflare-vs-glean)
-   [→ Cloudflare vs Grafana Labs](https://jobsbyculture.com/compare/cloudflare-vs-grafanalabs)
-   [→ Cloudflare vs Granola](https://jobsbyculture.com/compare/cloudflare-vs-granola)
-   [→ Cloudflare vs Harvey AI](https://jobsbyculture.com/compare/cloudflare-vs-harvey)
-   [→ Cloudflare vs Hebbia](https://jobsbyculture.com/compare/cloudflare-vs-hebbia)
-   [→ Cloudflare vs Helsing](https://jobsbyculture.com/compare/cloudflare-vs-helsing)
-   [→ Cloudflare vs HubSpot](https://jobsbyculture.com/compare/cloudflare-vs-hubspot)
-   [→ Cloudflare vs Hugging Face](https://jobsbyculture.com/compare/cloudflare-vs-huggingface)
-   [→ Cloudflare vs incident.io](https://jobsbyculture.com/compare/cloudflare-vs-incidentio)
-   [→ Cloudflare vs Labelbox](https://jobsbyculture.com/compare/cloudflare-vs-labelbox)
-   [→ Cloudflare vs Lambda](https://jobsbyculture.com/compare/cloudflare-vs-lambda)
-   [→ Cloudflare vs LangChain](https://jobsbyculture.com/compare/cloudflare-vs-langchain)
-   [→ Cloudflare vs Linear](https://jobsbyculture.com/compare/cloudflare-vs-linear)
-   [→ Cloudflare vs Lovable](https://jobsbyculture.com/compare/cloudflare-vs-lovable)
-   [→ Cloudflare vs Mercor](https://jobsbyculture.com/compare/cloudflare-vs-mercor)
-   [→ Cloudflare vs Mercury](https://jobsbyculture.com/compare/cloudflare-vs-mercury)
-   [→ Cloudflare vs Mistral AI](https://jobsbyculture.com/compare/cloudflare-vs-mistral)
-   [→ Cloudflare vs Modal](https://jobsbyculture.com/compare/cloudflare-vs-modal)
-   [→ Cloudflare vs MongoDB](https://jobsbyculture.com/compare/cloudflare-vs-mongodb)
-   [→ Cloudflare vs n8n](https://jobsbyculture.com/compare/cloudflare-vs-n8n)
-   [→ Cloudflare vs Navan](https://jobsbyculture.com/compare/cloudflare-vs-navan)
-   [→ Cloudflare vs Notion](https://jobsbyculture.com/compare/cloudflare-vs-notion)
-   [→ Cloudflare vs OpenAI](https://jobsbyculture.com/compare/cloudflare-vs-openai)
-   [→ Cloudflare vs Perplexity AI](https://jobsbyculture.com/compare/cloudflare-vs-perplexity)
-   [→ Cloudflare vs Pinecone](https://jobsbyculture.com/compare/cloudflare-vs-pinecone)
-   [→ Cloudflare vs Plaid](https://jobsbyculture.com/compare/cloudflare-vs-plaid)
-   [→ Cloudflare vs Poolside AI](https://jobsbyculture.com/compare/cloudflare-vs-poolside)
-   [→ Cloudflare vs PostHog](https://jobsbyculture.com/compare/cloudflare-vs-posthog)
-   [→ Cloudflare vs Pylon](https://jobsbyculture.com/compare/cloudflare-vs-pylon)
-   [→ Cloudflare vs Ramp](https://jobsbyculture.com/compare/cloudflare-vs-ramp)
-   [→ Cloudflare vs Replit](https://jobsbyculture.com/compare/cloudflare-vs-replit)
-   [→ Cloudflare vs Runway](https://jobsbyculture.com/compare/cloudflare-vs-runway)
-   [→ Cloudflare vs Samsara](https://jobsbyculture.com/compare/cloudflare-vs-samsara)
-   [→ Cloudflare vs Scale AI](https://jobsbyculture.com/compare/cloudflare-vs-scale)
-   [→ Cloudflare vs Sierra AI](https://jobsbyculture.com/compare/cloudflare-vs-sierra)
-   [→ Cloudflare vs Snowflake](https://jobsbyculture.com/compare/cloudflare-vs-snowflake)
-   [→ Cloudflare vs Stripe](https://jobsbyculture.com/compare/cloudflare-vs-stripe)
-   [→ Cloudflare vs Suno](https://jobsbyculture.com/compare/cloudflare-vs-suno)
-   [→ Cloudflare vs Supabase](https://jobsbyculture.com/compare/cloudflare-vs-supabase)
-   [→ Cloudflare vs Synthesia](https://jobsbyculture.com/compare/cloudflare-vs-synthesia)
-   [→ Cloudflare vs Tailscale](https://jobsbyculture.com/compare/cloudflare-vs-tailscale)
-   [→ Cloudflare vs Together AI](https://jobsbyculture.com/compare/cloudflare-vs-together)
-   [→ Cloudflare vs Twilio](https://jobsbyculture.com/compare/cloudflare-vs-twilio)
-   [→ Cloudflare vs Vanta](https://jobsbyculture.com/compare/cloudflare-vs-vanta)
-   [→ Cloudflare vs Vast AI](https://jobsbyculture.com/compare/cloudflare-vs-vast)
-   [→ Cloudflare vs Vercel](https://jobsbyculture.com/compare/cloudflare-vs-vercel)
-   [→ Cloudflare vs Wayve](https://jobsbyculture.com/compare/cloudflare-vs-wayve)
-   [→ Cloudflare vs Weaviate](https://jobsbyculture.com/compare/cloudflare-vs-weaviate)
-   [→ Cloudflare vs Webflow](https://jobsbyculture.com/compare/cloudflare-vs-webflow)
-   [→ Cloudflare vs Writer](https://jobsbyculture.com/compare/cloudflare-vs-writer)



🏢

### Claim _Cloudflare_

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## Document: Cognition AI Glassdoor, Culture & Careers 2026 | JobsByCulture

# Cognition AI Glassdoor, Culture & Careers 2026 | JobsByCulture

> Cognition AI company profile: 3.8 Glassdoor, ~300 employees. Work-life balance, culture reviews, and open careers at the makers of Devin & Windsurf AI coding agents.

Source: https://jobsbyculture.com/companies/cognition
Markdown: https://jobsbyculture.com/companies/cognition.md
Last updated: 2026-07-14

---
![Cognition logo](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

# Cognition

AI Coding Agents — Makers of Devin & Windsurf

The consensus on Cognition: A small and talent-dense team building the future of software engineering. Elite engineering with strong equity upside, but high-intensity pace.

San Francisco

Headquarters

~300

Employees

~$10B+

Valuation

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Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Cognition

Cognition was founded in 2023 by Scott Wu, Steven Hao, and Walden Yan — all International Olympiad in Informatics (IOI) gold medalists — and is the company behind Devin (the AI software engineer). It acquired Windsurf (the AI-powered IDE) in July 2025. The team is famously stacked with competitive programming talent (10 IOI gold medals across the early team), and the company closed a $400M round at a $10.2B valuation in September 2025. The culture is engineering-driven with a relentless focus on shipping — a talent-dense team where every engineer has massive impact on the future of AI-assisted software development.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Strong Equity](https://jobsbyculture.com/values/equity) [Product Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Cognition Glassdoor Ratings & _Employee Reviews_

Limited data

Glassdoor reviews not yet available — we'll update as employee feedback accumulates.

Overall Glassdoor Score

Very limited Glassdoor data — estimates noted

Culture & Values N/A

Work-Life Balance 3.2

Compensation & Benefits N/A

Career Opportunities 3.5

Senior Management 3.6

Overall Rating 3.8

Employee Review Themes

## Working at Cognition: _Pros & Cons_

### ✓ What employees love

-   ✓World-class technical team (10 IOI gold medalists)
-   ✓Massive valuation ($10B+) with strong equity upside
-   ✓Elite engineering team with strong equity
-   ✓Cutting-edge AI agent work

### ✗ What could be better

-   ✗High-intensity, fast-paced environment
-   ✗In-person expectations in San Francisco
-   ✗High-intensity startup pace
-   ✗In-person SF expectations

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python TypeScript AI/ML

#### Product

Devin — the world's first AI software engineer, and Windsurf — AI-powered IDE. Building autonomous coding agents that can plan, execute, and debug software.

#### AI & ML

Proprietary AI models for autonomous code generation, debugging, and software engineering. Frontier research in agentic AI. [Learn more →](https://cognition.ai?ref=jobsbyculture.com)

#### Team Structure

Small, talent-dense team of ~300. Engineers have significant ownership and autonomy. Competitive environment attracting olympiad-level talent.

Open Positions

## Join the _Cognition_ team

Explore open roles at Cognition below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=cognition)

Explore More

## Related _content_

### Blog Posts

-   [→ $300B in Q1 2026: The AI Funding Boom & What It Means for Job Seekers](https://jobsbyculture.com/blog/ai-startup-funding-hiring-2026)
-   [→ Cursor vs Cognition AI (Devin): AI Coding Tools Compared 2026](https://jobsbyculture.com/blog/cursor-vs-cognition-2026)
-   [→ Forward Deployed Engineer: The Fastest-Growing AI Role in 2026 — What It Is, What It Pays, Who's Hiring](https://jobsbyculture.com/blog/forward-deployed-engineer-boom-2026)
-   [→ The Four-Day Work Week in Tech (2026): Which Companies Offer It & Does It Work?](https://jobsbyculture.com/blog/four-day-work-week-tech-companies-2026)
-   [→ Scale AI Compensation 2026: $234K–$642K+ Total Comp by Level](https://jobsbyculture.com/blog/scale-ai-compensation-2026)

### Compare Cognition AI

-   [→ Cognition AI vs Abridge](https://jobsbyculture.com/compare/abridge-vs-cognition)
-   [→ Cognition AI vs Adyen](https://jobsbyculture.com/compare/adyen-vs-cognition)
-   [→ Cognition AI vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-cognition)
-   [→ Cognition AI vs Airtable](https://jobsbyculture.com/compare/airtable-vs-cognition)
-   [→ Cognition AI vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-cognition)
-   [→ Cognition AI vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-cognition)
-   [→ Cognition AI vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-cognition)
-   [→ Cognition AI vs Asana](https://jobsbyculture.com/compare/asana-vs-cognition)
-   [→ Cognition AI vs Baseten](https://jobsbyculture.com/compare/baseten-vs-cognition)
-   [→ Cognition AI vs Brex](https://jobsbyculture.com/compare/brex-vs-cognition)
-   [→ Cognition AI vs Celonis](https://jobsbyculture.com/compare/celonis-vs-cognition)
-   [→ Cognition AI vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-cognition)
-   [→ Cognition AI vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-cognition)
-   [→ Cognition AI vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-cognition)
-   [→ Cognition AI vs Cohere](https://jobsbyculture.com/compare/cognition-vs-cohere)
-   [→ Cognition AI vs Contentful](https://jobsbyculture.com/compare/cognition-vs-contentful)
-   [→ Cognition AI vs CoreWeave](https://jobsbyculture.com/compare/cognition-vs-coreweave)
-   [→ Cognition AI vs Cresta](https://jobsbyculture.com/compare/cognition-vs-cresta)
-   [→ Cognition AI vs Crusoe](https://jobsbyculture.com/compare/cognition-vs-crusoe)
-   [→ Cognition AI vs Cursor](https://jobsbyculture.com/compare/cognition-vs-cursor)
-   [→ Cognition AI vs Databricks](https://jobsbyculture.com/compare/cognition-vs-databricks)
-   [→ Cognition AI vs Datadog](https://jobsbyculture.com/compare/cognition-vs-datadog)
-   [→ Cognition AI vs Decagon](https://jobsbyculture.com/compare/cognition-vs-decagon)
-   [→ Cognition AI vs DeepL](https://jobsbyculture.com/compare/cognition-vs-deepl)
-   [→ Cognition AI vs DeepMind](https://jobsbyculture.com/compare/cognition-vs-deepmind)
-   [→ Cognition AI vs Descript](https://jobsbyculture.com/compare/cognition-vs-descript)
-   [→ Cognition AI vs Doctolib](https://jobsbyculture.com/compare/cognition-vs-doctolib)
-   [→ Cognition AI vs Elastic](https://jobsbyculture.com/compare/cognition-vs-elastic)
-   [→ Cognition AI vs ElevenLabs](https://jobsbyculture.com/compare/cognition-vs-elevenlabs)
-   [→ Cognition AI vs Figma](https://jobsbyculture.com/compare/cognition-vs-figma)
-   [→ Cognition AI vs Fireworks AI](https://jobsbyculture.com/compare/cognition-vs-fireworksai)
-   [→ Cognition AI vs GitLab](https://jobsbyculture.com/compare/cognition-vs-gitlab)
-   [→ Cognition AI vs Glean](https://jobsbyculture.com/compare/cognition-vs-glean)
-   [→ Cognition AI vs Grafana Labs](https://jobsbyculture.com/compare/cognition-vs-grafanalabs)
-   [→ Cognition AI vs Granola](https://jobsbyculture.com/compare/cognition-vs-granola)
-   [→ Cognition AI vs Harvey AI](https://jobsbyculture.com/compare/cognition-vs-harvey)
-   [→ Cognition AI vs Hebbia](https://jobsbyculture.com/compare/cognition-vs-hebbia)
-   [→ Cognition AI vs Helsing](https://jobsbyculture.com/compare/cognition-vs-helsing)
-   [→ Cognition AI vs HubSpot](https://jobsbyculture.com/compare/cognition-vs-hubspot)
-   [→ Cognition AI vs Hugging Face](https://jobsbyculture.com/compare/cognition-vs-huggingface)
-   [→ Cognition AI vs incident.io](https://jobsbyculture.com/compare/cognition-vs-incidentio)
-   [→ Cognition AI vs Labelbox](https://jobsbyculture.com/compare/cognition-vs-labelbox)
-   [→ Cognition AI vs Lambda](https://jobsbyculture.com/compare/cognition-vs-lambda)
-   [→ Cognition AI vs LangChain](https://jobsbyculture.com/compare/cognition-vs-langchain)
-   [→ Cognition AI vs Linear](https://jobsbyculture.com/compare/cognition-vs-linear)
-   [→ Cognition AI vs Lovable](https://jobsbyculture.com/compare/cognition-vs-lovable)
-   [→ Cognition AI vs Mercor](https://jobsbyculture.com/compare/cognition-vs-mercor)
-   [→ Cognition AI vs Mercury](https://jobsbyculture.com/compare/cognition-vs-mercury)
-   [→ Cognition AI vs Mistral AI](https://jobsbyculture.com/compare/cognition-vs-mistral)
-   [→ Cognition AI vs Modal](https://jobsbyculture.com/compare/cognition-vs-modal)
-   [→ Cognition AI vs MongoDB](https://jobsbyculture.com/compare/cognition-vs-mongodb)
-   [→ Cognition AI vs n8n](https://jobsbyculture.com/compare/cognition-vs-n8n)
-   [→ Cognition AI vs Navan](https://jobsbyculture.com/compare/cognition-vs-navan)
-   [→ Cognition AI vs Notion](https://jobsbyculture.com/compare/cognition-vs-notion)
-   [→ Cognition AI vs OpenAI](https://jobsbyculture.com/compare/cognition-vs-openai)
-   [→ Cognition AI vs Perplexity AI](https://jobsbyculture.com/compare/cognition-vs-perplexity)
-   [→ Cognition AI vs Pinecone](https://jobsbyculture.com/compare/cognition-vs-pinecone)
-   [→ Cognition AI vs Plaid](https://jobsbyculture.com/compare/cognition-vs-plaid)
-   [→ Cognition AI vs Poolside AI](https://jobsbyculture.com/compare/cognition-vs-poolside)
-   [→ Cognition AI vs PostHog](https://jobsbyculture.com/compare/cognition-vs-posthog)
-   [→ Cognition AI vs Pylon](https://jobsbyculture.com/compare/cognition-vs-pylon)
-   [→ Cognition AI vs Ramp](https://jobsbyculture.com/compare/cognition-vs-ramp)
-   [→ Cognition AI vs Replit](https://jobsbyculture.com/compare/cognition-vs-replit)
-   [→ Cognition AI vs Runway](https://jobsbyculture.com/compare/cognition-vs-runway)
-   [→ Cognition AI vs Samsara](https://jobsbyculture.com/compare/cognition-vs-samsara)
-   [→ Cognition AI vs Scale AI](https://jobsbyculture.com/compare/cognition-vs-scale)
-   [→ Cognition AI vs Sierra AI](https://jobsbyculture.com/compare/cognition-vs-sierra)
-   [→ Cognition AI vs Snowflake](https://jobsbyculture.com/compare/cognition-vs-snowflake)
-   [→ Cognition AI vs Stripe](https://jobsbyculture.com/compare/cognition-vs-stripe)
-   [→ Cognition AI vs Suno](https://jobsbyculture.com/compare/cognition-vs-suno)
-   [→ Cognition AI vs Supabase](https://jobsbyculture.com/compare/cognition-vs-supabase)
-   [→ Cognition AI vs Synthesia](https://jobsbyculture.com/compare/cognition-vs-synthesia)
-   [→ Cognition AI vs Tailscale](https://jobsbyculture.com/compare/cognition-vs-tailscale)
-   [→ Cognition AI vs Together AI](https://jobsbyculture.com/compare/cognition-vs-together)
-   [→ Cognition AI vs Twilio](https://jobsbyculture.com/compare/cognition-vs-twilio)
-   [→ Cognition AI vs Vanta](https://jobsbyculture.com/compare/cognition-vs-vanta)
-   [→ Cognition AI vs Vast AI](https://jobsbyculture.com/compare/cognition-vs-vast)
-   [→ Cognition AI vs Vercel](https://jobsbyculture.com/compare/cognition-vs-vercel)
-   [→ Cognition AI vs Wayve](https://jobsbyculture.com/compare/cognition-vs-wayve)
-   [→ Cognition AI vs Weaviate](https://jobsbyculture.com/compare/cognition-vs-weaviate)
-   [→ Cognition AI vs Webflow](https://jobsbyculture.com/compare/cognition-vs-webflow)
-   [→ Cognition AI vs Writer](https://jobsbyculture.com/compare/cognition-vs-writer)



🏢

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## Document: Cohere Culture & Jobs | JobsByCulture

# Cohere Culture & Jobs | JobsByCulture

> Cohere engineering culture: 3.0 Glassdoor, Transformer co-author founded, enterprise AI. See 130 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/cohere
Markdown: https://jobsbyculture.com/companies/cohere.md
Last updated: 2026-07-14

---
![Cohere logo](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

# Cohere

Enterprise AI Platform — Founded by Transformer Co-Author

The consensus on Cohere: Choose Cohere if you want Transformer co-author pedigree and enterprise AI focus — but expect turbulence and lower ratings.

2019

Founded

Toronto

Headquarters

~850

Employees

~$7B

Valuation

Free Work at Cohere? Claim this profile

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Culture Overview

## What it's _really_ like to work at Cohere

Cohere is building enterprise AI tools powered by large language models, founded by Aidan Gomez, a co-author of the original Transformer paper. The culture emphasizes learning and research, with an engineering-driven approach where team members wear many hats in a fast-moving startup environment.

[Continuous Learning](https://jobsbyculture.com/values/learning) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven)

Glassdoor Ratings

## Cohere Glassdoor Ratings & _Employee Reviews_

3.0

Overall Glassdoor Score

Based on 120 reviews

Culture & Values 3.0

Work-Life Balance 2.5

Compensation & Benefits 3.2

Career Opportunities 2.5

Senior Management 2.3

Overall Rating 3.0

48% Recommend to a Friend

55% CEO Approval (Aidan Gomez)

Employee Review Themes

## Working at Cohere: _Pros & Cons_

### ✓ What employees love

-   ✓ Cutting-edge NLP research from Transformer co-author
-   ✓ Enterprise AI focus gives real customer impact
-   ✓ Toronto HQ means strong Canadian talent pool
-   ✓ Fast-moving with startup energy

### ✗ What could be better

-   ✗ Frequent organizational restructuring has led to notable team turnover
-   ✗ Internal communication from leadership could be more transparent and consistent
-   ✗ Career growth paths not well-defined
-   ✗ Engineering processes still maturing

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python Go

#### Products

Command Embed Rerank

#### Research-to-Product

Engineering team works across the full research-to-product pipeline, turning cutting-edge NLP research into production-grade enterprise APIs.

#### Team Structure

Small, fast-moving teams with high ownership. Engineers wear many hats across research and production.

Open Positions

## Join the _Cohere_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=cohere)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ 50+ AI Engineer Interview Questions in 2026 (Real Questions, Honest Answers)](https://jobsbyculture.com/blog/ai-engineer-interview-questions-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ AI Jobs in Paris 2026: 170 Roles at Mistral, Datadog, Hugging Face & 10 More Companies](https://jobsbyculture.com/blog/ai-jobs-paris-2026)
-   [→ The AI Talent War in 2026: 1.6M Open Roles, 518K Qualified Candidates](https://jobsbyculture.com/blog/ai-talent-war-2026)

### Compare Cohere

-   [→ Cohere vs Abridge](https://jobsbyculture.com/compare/abridge-vs-cohere)
-   [→ Cohere vs Adyen](https://jobsbyculture.com/compare/adyen-vs-cohere)
-   [→ Cohere vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-cohere)
-   [→ Cohere vs Airtable](https://jobsbyculture.com/compare/airtable-vs-cohere)
-   [→ Cohere vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-cohere)
-   [→ Cohere vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-cohere)
-   [→ Cohere vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-cohere)
-   [→ Cohere vs Asana](https://jobsbyculture.com/compare/asana-vs-cohere)
-   [→ Cohere vs Baseten](https://jobsbyculture.com/compare/baseten-vs-cohere)
-   [→ Cohere vs Brex](https://jobsbyculture.com/compare/brex-vs-cohere)
-   [→ Cohere vs Celonis](https://jobsbyculture.com/compare/celonis-vs-cohere)
-   [→ Cohere vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-cohere)
-   [→ Cohere vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-cohere)
-   [→ Cohere vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-cohere)
-   [→ Cohere vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-cohere)
-   [→ Cohere vs Contentful](https://jobsbyculture.com/compare/cohere-vs-contentful)
-   [→ Cohere vs CoreWeave](https://jobsbyculture.com/compare/cohere-vs-coreweave)
-   [→ Cohere vs Cresta](https://jobsbyculture.com/compare/cohere-vs-cresta)
-   [→ Cohere vs Crusoe](https://jobsbyculture.com/compare/cohere-vs-crusoe)
-   [→ Cohere vs Cursor](https://jobsbyculture.com/compare/cohere-vs-cursor)
-   [→ Cohere vs Databricks](https://jobsbyculture.com/compare/cohere-vs-databricks)
-   [→ Cohere vs Datadog](https://jobsbyculture.com/compare/cohere-vs-datadog)
-   [→ Cohere vs Decagon](https://jobsbyculture.com/compare/cohere-vs-decagon)
-   [→ Cohere vs DeepL](https://jobsbyculture.com/compare/cohere-vs-deepl)
-   [→ Cohere vs DeepMind](https://jobsbyculture.com/compare/cohere-vs-deepmind)
-   [→ Cohere vs Descript](https://jobsbyculture.com/compare/cohere-vs-descript)
-   [→ Cohere vs Doctolib](https://jobsbyculture.com/compare/cohere-vs-doctolib)
-   [→ Cohere vs Elastic](https://jobsbyculture.com/compare/cohere-vs-elastic)
-   [→ Cohere vs ElevenLabs](https://jobsbyculture.com/compare/cohere-vs-elevenlabs)
-   [→ Cohere vs Figma](https://jobsbyculture.com/compare/cohere-vs-figma)
-   [→ Cohere vs Fireworks AI](https://jobsbyculture.com/compare/cohere-vs-fireworksai)
-   [→ Cohere vs GitLab](https://jobsbyculture.com/compare/cohere-vs-gitlab)
-   [→ Cohere vs Glean](https://jobsbyculture.com/compare/cohere-vs-glean)
-   [→ Cohere vs Grafana Labs](https://jobsbyculture.com/compare/cohere-vs-grafanalabs)
-   [→ Cohere vs Granola](https://jobsbyculture.com/compare/cohere-vs-granola)
-   [→ Cohere vs Harvey AI](https://jobsbyculture.com/compare/cohere-vs-harvey)
-   [→ Cohere vs Hebbia](https://jobsbyculture.com/compare/cohere-vs-hebbia)
-   [→ Cohere vs Helsing](https://jobsbyculture.com/compare/cohere-vs-helsing)
-   [→ Cohere vs HubSpot](https://jobsbyculture.com/compare/cohere-vs-hubspot)
-   [→ Cohere vs Hugging Face](https://jobsbyculture.com/compare/cohere-vs-huggingface)
-   [→ Cohere vs incident.io](https://jobsbyculture.com/compare/cohere-vs-incidentio)
-   [→ Cohere vs Labelbox](https://jobsbyculture.com/compare/cohere-vs-labelbox)
-   [→ Cohere vs Lambda](https://jobsbyculture.com/compare/cohere-vs-lambda)
-   [→ Cohere vs LangChain](https://jobsbyculture.com/compare/cohere-vs-langchain)
-   [→ Cohere vs Linear](https://jobsbyculture.com/compare/cohere-vs-linear)
-   [→ Cohere vs Lovable](https://jobsbyculture.com/compare/cohere-vs-lovable)
-   [→ Cohere vs Mercor](https://jobsbyculture.com/compare/cohere-vs-mercor)
-   [→ Cohere vs Mercury](https://jobsbyculture.com/compare/cohere-vs-mercury)
-   [→ Cohere vs Mistral AI](https://jobsbyculture.com/compare/cohere-vs-mistral)
-   [→ Cohere vs Modal](https://jobsbyculture.com/compare/cohere-vs-modal)
-   [→ Cohere vs MongoDB](https://jobsbyculture.com/compare/cohere-vs-mongodb)
-   [→ Cohere vs n8n](https://jobsbyculture.com/compare/cohere-vs-n8n)
-   [→ Cohere vs Navan](https://jobsbyculture.com/compare/cohere-vs-navan)
-   [→ Cohere vs Notion](https://jobsbyculture.com/compare/cohere-vs-notion)
-   [→ Cohere vs OpenAI](https://jobsbyculture.com/compare/cohere-vs-openai)
-   [→ Cohere vs Perplexity AI](https://jobsbyculture.com/compare/cohere-vs-perplexity)
-   [→ Cohere vs Pinecone](https://jobsbyculture.com/compare/cohere-vs-pinecone)
-   [→ Cohere vs Plaid](https://jobsbyculture.com/compare/cohere-vs-plaid)
-   [→ Cohere vs Poolside AI](https://jobsbyculture.com/compare/cohere-vs-poolside)
-   [→ Cohere vs PostHog](https://jobsbyculture.com/compare/cohere-vs-posthog)
-   [→ Cohere vs Pylon](https://jobsbyculture.com/compare/cohere-vs-pylon)
-   [→ Cohere vs Ramp](https://jobsbyculture.com/compare/cohere-vs-ramp)
-   [→ Cohere vs Replit](https://jobsbyculture.com/compare/cohere-vs-replit)
-   [→ Cohere vs Runway](https://jobsbyculture.com/compare/cohere-vs-runway)
-   [→ Cohere vs Samsara](https://jobsbyculture.com/compare/cohere-vs-samsara)
-   [→ Cohere vs Scale AI](https://jobsbyculture.com/compare/cohere-vs-scale)
-   [→ Cohere vs Sierra AI](https://jobsbyculture.com/compare/cohere-vs-sierra)
-   [→ Cohere vs Snowflake](https://jobsbyculture.com/compare/cohere-vs-snowflake)
-   [→ Cohere vs Stripe](https://jobsbyculture.com/compare/cohere-vs-stripe)
-   [→ Cohere vs Suno](https://jobsbyculture.com/compare/cohere-vs-suno)
-   [→ Cohere vs Supabase](https://jobsbyculture.com/compare/cohere-vs-supabase)
-   [→ Cohere vs Synthesia](https://jobsbyculture.com/compare/cohere-vs-synthesia)
-   [→ Cohere vs Tailscale](https://jobsbyculture.com/compare/cohere-vs-tailscale)
-   [→ Cohere vs Together AI](https://jobsbyculture.com/compare/cohere-vs-together)
-   [→ Cohere vs Twilio](https://jobsbyculture.com/compare/cohere-vs-twilio)
-   [→ Cohere vs Vanta](https://jobsbyculture.com/compare/cohere-vs-vanta)
-   [→ Cohere vs Vast AI](https://jobsbyculture.com/compare/cohere-vs-vast)
-   [→ Cohere vs Vercel](https://jobsbyculture.com/compare/cohere-vs-vercel)
-   [→ Cohere vs Wayve](https://jobsbyculture.com/compare/cohere-vs-wayve)
-   [→ Cohere vs Weaviate](https://jobsbyculture.com/compare/cohere-vs-weaviate)
-   [→ Cohere vs Webflow](https://jobsbyculture.com/compare/cohere-vs-webflow)
-   [→ Cohere vs Writer](https://jobsbyculture.com/compare/cohere-vs-writer)



🏢

### Claim _Cohere_

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We'll respond within 24 hours. No spam, ever.

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We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Coinbase Glassdoor, Culture & Careers 2026 | JobsByCulture

# Coinbase Glassdoor, Culture & Careers 2026 | JobsByCulture

> Coinbase company profile: 3.7 Glassdoor, ~4,300 employees, $150k–$400k+ comp. Remote-first culture, engineering reviews, and open careers at the leading crypto platform.

Source: https://jobsbyculture.com/companies/coinbase
Markdown: https://jobsbyculture.com/companies/coinbase.md
Last updated: 2026-07-14

---
![Coinbase logo](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

# Coinbase

The Leading Crypto Exchange — Building an Open Financial System

The consensus on Coinbase: Remote-first with outstanding compensation, but the intensity is non-negotiable. Choose Coinbase if you're a builder who thrives under pressure and believes in the crypto mission — just don't expect a 9-to-5.

2012

Founded

Remote-First

HQ (Global)

~4,300

Employees

NASDAQ: COIN

Public Company

Free Work at Coinbase? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Coinbase

Coinbase is the largest publicly traded cryptocurrency exchange in the United States, handling billions in daily trading volume. Founded by Brian Armstrong and Fred Ehrsam in 2012, the company went public on NASDAQ in 2021 and has ~4,300 employees globally following a May 2026 restructuring. The defining cultural feature is that Coinbase is genuinely remote-first — about 95% of employees have the option to work from home, an office, or a mix. But remote doesn't mean relaxed. Coinbase runs an efficiency-driven, high-performance operation where the compensation is top-tier (4.3/5) but the pace is intense (WLB rated 2.9/5). It's a place that rewards builders who ship fast and hold themselves to high standards, backed by a crypto mission many employees find genuinely motivating.

[Remote](https://jobsbyculture.com/values/remote) [Strong Equity](https://jobsbyculture.com/values/equity) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Eng-Driven](https://jobsbyculture.com/values/eng-driven)

Glassdoor Ratings

## Coinbase Glassdoor Ratings & _Employee Reviews_

3.7

Overall Glassdoor Score

Based on 1,065 reviews

Culture & Values 3.3

Work-Life Balance 2.9

Compensation & Benefits 4.3

Career Opportunities 3.4

Overall Rating 3.7

54% Recommend to a Friend

Employee Review Themes

## Working at Coinbase: _Pros & Cons_

### ✓ What employees love

-   ✓ Truly remote-first — 95% of roles are remote with genuine flexibility and periodic in-person events
-   ✓ Outstanding compensation (4.3/5) with strong RSU packages and recharge weeks
-   ✓ Mission-driven culture — building an open financial system that many employees genuinely believe in
-   ✓ High-caliber engineering talent — working alongside some of the best in crypto and fintech

### ✗ What could be better

-   ✗ Work-life balance rated 2.9/5 — the intensity is real, not just a startup cliché
-   ✗ Multiple rounds of layoffs have eroded trust in job security and long-term stability
-   ✗ Culture & values rated 3.3/5 — efficiency focus can feel impersonal and top-down
-   ✗ Career opportunities rated 3.4/5 — growth paths and mentorship could be stronger

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Go Ruby React TypeScript AWS Kubernetes

#### Product

The most trusted cryptocurrency exchange in the US. Consumer trading, institutional custody, Base (L2 blockchain), developer APIs, and a growing suite of crypto-native financial products serving 100M+ verified users.

#### Scale & Infrastructure

Handles billions in daily trading volume with security-first architecture. Engineering teams build for extreme reliability in a regulated financial environment where downtime has direct financial consequences. [See open roles →](https://www.coinbase.com/careers?ref=jobsbyculture.com)

#### Remote Engineering

Engineering is distributed across time zones with async-friendly practices. Teams coordinate through detailed RFCs and documentation. Recharge weeks and deliberate breaks are built into the cadence to offset the high pace.

Open Positions

## Join the _Coinbase_ team

Explore open roles at Coinbase below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=coinbase)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Airbnb Salary 2026: $290K–$876K TC, Public RSUs & Live Anywhere Policy](https://jobsbyculture.com/blog/airbnb-compensation-2026)
-   [→ Best Tech Companies for Working Parents in 2026: Parental Leave, Flexibility & Culture](https://jobsbyculture.com/blog/best-tech-companies-for-parents-2026)
-   [→ How to Choose Your Engineering Specialization in 2026 (A Career Framework)](https://jobsbyculture.com/blog/choose-engineering-specialization-2026)
-   [→ Coinbase Salary 2026: $188K–$547K TC, COIN RSUs & Post-Layoff Reality](https://jobsbyculture.com/blog/coinbase-compensation-2026)
-   [→ Coinbase Interview Prep 2026: Process, Questions & How to Stand Out](https://jobsbyculture.com/blog/coinbase-interview-prep-2026)

### Compare Coinbase

-   [→ Coinbase vs Stripe](https://jobsbyculture.com/compare/coinbase-vs-stripe)



🏢

### Claim _Coinbase_

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We'll respond within 24 hours. No spam, ever.

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## Document: Contentful Culture & Jobs | JobsByCulture

# Contentful Culture & Jobs | JobsByCulture

> Contentful engineering culture: 3.4 Glassdoor, 3.7 WLB, headless CMS for the modern web. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/contentful
Markdown: https://jobsbyculture.com/companies/contentful.md
Last updated: 2026-07-14

---
![Contentful logo](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

# Contentful

Headless CMS & Developer Tools — Powering Digital Experiences Across 6 Continents

The consensus on Contentful: A mature developer-tools company with flexible remote work and a talented engineering team, but product innovation has slowed and internal promotions are difficult to come by.

2013

Founded

Berlin

Headquarters

~1,000

Employees

Large

Company Size

Free Work at Contentful? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Contentful

Contentful is a Berlin-born headless CMS that powers digital experiences for brands worldwide. The engineering team is distributed across 6 continents, with a strong remote-first culture and flexible working arrangements. Engineers describe humble, talented colleagues and a genuine learning environment — though some feel the product has stagnated and career growth paths have become unclear as the company matured. In June 2026, Contentful was acquired by Salesforce.

[Remote](https://jobsbyculture.com/values/remote) [Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Learning](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Contentful Glassdoor Ratings & _Employee Reviews_

3.4

Overall Glassdoor Score

Based on employee reviews

Culture & Values 3.2

Compensation & Benefits 4.0

Career Opportunities 3.1

Work-Life Balance 3.7

Overall Rating 3.4

62% Recommend to a Friend

Employee Review Themes

## Working at Contentful: _Pros & Cons_

### ✓ What employees love

-   ✓Flexible remote/hybrid work with genuine trust and autonomy
-   ✓Talented, humble engineering team that values collaboration
-   ✓Strong learning culture with access to conferences and education budgets
-   ✓Global distributed team across 6 continents with inclusive culture

### ✗ What could be better

-   ✗Product has stagnated — innovation feels slow and direction unclear
-   ✗Difficult internal promotions — career paths are not well defined
-   ✗Senior management decisions can feel disconnected from engineering reality

Open Positions

## Join the _Contentful_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=contentful)

Explore More

## Related _content_

### Blog Posts

-   [→ Oracle Layoffs 2026: 30,000 Jobs Cut — Where to Look Next Based on Culture](https://jobsbyculture.com/blog/oracle-layoffs-2026)
-   [→ The RTO Wave Is Real: 14 Companies That Are Still Genuinely Remote in 2026](https://jobsbyculture.com/blog/remote-vs-rto-2026)

### Compare Contentful

-   [→ Contentful vs Abridge](https://jobsbyculture.com/compare/abridge-vs-contentful)
-   [→ Contentful vs Adyen](https://jobsbyculture.com/compare/adyen-vs-contentful)
-   [→ Contentful vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-contentful)
-   [→ Contentful vs Airtable](https://jobsbyculture.com/compare/airtable-vs-contentful)
-   [→ Contentful vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-contentful)
-   [→ Contentful vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-contentful)
-   [→ Contentful vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-contentful)
-   [→ Contentful vs Asana](https://jobsbyculture.com/compare/asana-vs-contentful)
-   [→ Contentful vs Baseten](https://jobsbyculture.com/compare/baseten-vs-contentful)
-   [→ Contentful vs Brex](https://jobsbyculture.com/compare/brex-vs-contentful)
-   [→ Contentful vs Celonis](https://jobsbyculture.com/compare/celonis-vs-contentful)
-   [→ Contentful vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-contentful)
-   [→ Contentful vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-contentful)
-   [→ Contentful vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-contentful)
-   [→ Contentful vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-contentful)
-   [→ Contentful vs Cohere](https://jobsbyculture.com/compare/cohere-vs-contentful)
-   [→ Contentful vs CoreWeave](https://jobsbyculture.com/compare/contentful-vs-coreweave)
-   [→ Contentful vs Cresta](https://jobsbyculture.com/compare/contentful-vs-cresta)
-   [→ Contentful vs Crusoe](https://jobsbyculture.com/compare/contentful-vs-crusoe)
-   [→ Contentful vs Cursor](https://jobsbyculture.com/compare/contentful-vs-cursor)
-   [→ Contentful vs Databricks](https://jobsbyculture.com/compare/contentful-vs-databricks)
-   [→ Contentful vs Datadog](https://jobsbyculture.com/compare/contentful-vs-datadog)
-   [→ Contentful vs Decagon](https://jobsbyculture.com/compare/contentful-vs-decagon)
-   [→ Contentful vs DeepL](https://jobsbyculture.com/compare/contentful-vs-deepl)
-   [→ Contentful vs DeepMind](https://jobsbyculture.com/compare/contentful-vs-deepmind)
-   [→ Contentful vs Descript](https://jobsbyculture.com/compare/contentful-vs-descript)
-   [→ Contentful vs Doctolib](https://jobsbyculture.com/compare/contentful-vs-doctolib)
-   [→ Contentful vs Elastic](https://jobsbyculture.com/compare/contentful-vs-elastic)
-   [→ Contentful vs ElevenLabs](https://jobsbyculture.com/compare/contentful-vs-elevenlabs)
-   [→ Contentful vs Figma](https://jobsbyculture.com/compare/contentful-vs-figma)
-   [→ Contentful vs Fireworks AI](https://jobsbyculture.com/compare/contentful-vs-fireworksai)
-   [→ Contentful vs GitLab](https://jobsbyculture.com/compare/contentful-vs-gitlab)
-   [→ Contentful vs Glean](https://jobsbyculture.com/compare/contentful-vs-glean)
-   [→ Contentful vs Grafana Labs](https://jobsbyculture.com/compare/contentful-vs-grafanalabs)
-   [→ Contentful vs Granola](https://jobsbyculture.com/compare/contentful-vs-granola)
-   [→ Contentful vs Harvey AI](https://jobsbyculture.com/compare/contentful-vs-harvey)
-   [→ Contentful vs Hebbia](https://jobsbyculture.com/compare/contentful-vs-hebbia)
-   [→ Contentful vs Helsing](https://jobsbyculture.com/compare/contentful-vs-helsing)
-   [→ Contentful vs HubSpot](https://jobsbyculture.com/compare/contentful-vs-hubspot)
-   [→ Contentful vs Hugging Face](https://jobsbyculture.com/compare/contentful-vs-huggingface)
-   [→ Contentful vs incident.io](https://jobsbyculture.com/compare/contentful-vs-incidentio)
-   [→ Contentful vs Labelbox](https://jobsbyculture.com/compare/contentful-vs-labelbox)
-   [→ Contentful vs Lambda](https://jobsbyculture.com/compare/contentful-vs-lambda)
-   [→ Contentful vs LangChain](https://jobsbyculture.com/compare/contentful-vs-langchain)
-   [→ Contentful vs Linear](https://jobsbyculture.com/compare/contentful-vs-linear)
-   [→ Contentful vs Lovable](https://jobsbyculture.com/compare/contentful-vs-lovable)
-   [→ Contentful vs Mercor](https://jobsbyculture.com/compare/contentful-vs-mercor)
-   [→ Contentful vs Mercury](https://jobsbyculture.com/compare/contentful-vs-mercury)
-   [→ Contentful vs Mistral AI](https://jobsbyculture.com/compare/contentful-vs-mistral)
-   [→ Contentful vs Modal](https://jobsbyculture.com/compare/contentful-vs-modal)
-   [→ Contentful vs MongoDB](https://jobsbyculture.com/compare/contentful-vs-mongodb)
-   [→ Contentful vs n8n](https://jobsbyculture.com/compare/contentful-vs-n8n)
-   [→ Contentful vs Navan](https://jobsbyculture.com/compare/contentful-vs-navan)
-   [→ Contentful vs Notion](https://jobsbyculture.com/compare/contentful-vs-notion)
-   [→ Contentful vs OpenAI](https://jobsbyculture.com/compare/contentful-vs-openai)
-   [→ Contentful vs Perplexity AI](https://jobsbyculture.com/compare/contentful-vs-perplexity)
-   [→ Contentful vs Pinecone](https://jobsbyculture.com/compare/contentful-vs-pinecone)
-   [→ Contentful vs Plaid](https://jobsbyculture.com/compare/contentful-vs-plaid)
-   [→ Contentful vs Poolside AI](https://jobsbyculture.com/compare/contentful-vs-poolside)
-   [→ Contentful vs PostHog](https://jobsbyculture.com/compare/contentful-vs-posthog)
-   [→ Contentful vs Pylon](https://jobsbyculture.com/compare/contentful-vs-pylon)
-   [→ Contentful vs Ramp](https://jobsbyculture.com/compare/contentful-vs-ramp)
-   [→ Contentful vs Replit](https://jobsbyculture.com/compare/contentful-vs-replit)
-   [→ Contentful vs Runway](https://jobsbyculture.com/compare/contentful-vs-runway)
-   [→ Contentful vs Samsara](https://jobsbyculture.com/compare/contentful-vs-samsara)
-   [→ Contentful vs Scale AI](https://jobsbyculture.com/compare/contentful-vs-scale)
-   [→ Contentful vs Sierra AI](https://jobsbyculture.com/compare/contentful-vs-sierra)
-   [→ Contentful vs Snowflake](https://jobsbyculture.com/compare/contentful-vs-snowflake)
-   [→ Contentful vs Stripe](https://jobsbyculture.com/compare/contentful-vs-stripe)
-   [→ Contentful vs Suno](https://jobsbyculture.com/compare/contentful-vs-suno)
-   [→ Contentful vs Supabase](https://jobsbyculture.com/compare/contentful-vs-supabase)
-   [→ Contentful vs Synthesia](https://jobsbyculture.com/compare/contentful-vs-synthesia)
-   [→ Contentful vs Tailscale](https://jobsbyculture.com/compare/contentful-vs-tailscale)
-   [→ Contentful vs Together AI](https://jobsbyculture.com/compare/contentful-vs-together)
-   [→ Contentful vs Twilio](https://jobsbyculture.com/compare/contentful-vs-twilio)
-   [→ Contentful vs Vanta](https://jobsbyculture.com/compare/contentful-vs-vanta)
-   [→ Contentful vs Vast AI](https://jobsbyculture.com/compare/contentful-vs-vast)
-   [→ Contentful vs Vercel](https://jobsbyculture.com/compare/contentful-vs-vercel)
-   [→ Contentful vs Wayve](https://jobsbyculture.com/compare/contentful-vs-wayve)
-   [→ Contentful vs Weaviate](https://jobsbyculture.com/compare/contentful-vs-weaviate)
-   [→ Contentful vs Webflow](https://jobsbyculture.com/compare/contentful-vs-webflow)
-   [→ Contentful vs Writer](https://jobsbyculture.com/compare/contentful-vs-writer)

🏢

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### Request received!

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## Document: CoreWeave Culture & Jobs | JobsByCulture

# CoreWeave Culture & Jobs | JobsByCulture

> CoreWeave engineering culture: 3.6 Glassdoor, GPU cloud infrastructure, NVIDIA-backed. See 286 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/coreweave
Markdown: https://jobsbyculture.com/companies/coreweave.md
Last updated: 2026-07-14

---
![CoreWeave logo](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

# CoreWeave

GPU Cloud Infrastructure — Powering AI Workloads at Scale

The consensus on CoreWeave: Choose CoreWeave if you want NVIDIA-backed GPU cloud with equity upside — but culture and processes are still maturing.

2017

Founded

Roseland, NJ

Headquarters

~1,800

Employees

~$50B

Market Cap (CRWV)

Free Work at CoreWeave? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at CoreWeave

Founded in 2017 by Michael Intrator, Brian Venturo, and Brannin McBee, CoreWeave is a GPU cloud infrastructure company backed by NVIDIA ($2B investment in Jan 2026). The culture is engineering-driven and fast-paced, with teams shipping quickly across 43 data centers housing 250,000+ GPUs. Now public on NASDAQ (CRWV) with stock up 200%+ since IPO, the company offers strong equity upside but expects a many-hats mentality as processes catch up to hypergrowth.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Equity](https://jobsbyculture.com/values/equity) [Many Hats](https://jobsbyculture.com/values/many-hats)

Glassdoor Ratings

## CoreWeave Glassdoor Ratings & _Employee Reviews_

3.6

Overall Glassdoor Score

Based on ~64 reviews

Culture & Values 3.1

Compensation & Benefits 3.8

Senior Management 3.0

Career Opportunities 3.4

Work-Life Balance 3.2

Overall Rating 3.6

62% Recommend to a Friend

65% CEO Approval (Michael Intrator)

Employee Review Themes

## Working at CoreWeave: _Pros & Cons_

### ✓ What employees love

-   ✓ GPU cloud infrastructure leader backed by NVIDIA ($2B investment in Jan 2026)
-   ✓ Strong compensation and equity — especially valuable post-IPO (stock up 200%+ since IPO)
-   ✓ Working on genuinely hard distributed systems and GPU infrastructure challenges
-   ✓ Rapid growth means abundant career opportunities and ownership
-   ✓ Cutting-edge hardware — 43 data centers, 250,000+ GPUs

### ✗ What could be better

-   ✗ Work-life balance can be challenging — some teams report expectations of being available outside normal hours
-   ✗ Culture and values rated 3.1/5 — organizational processes still maturing at this growth pace
-   ✗ Management quality varies across teams (3.0/5) — some teams lack clear structure
-   ✗ Hypergrowth from ~880 to ~1,800 employees in one year creates adjustment challenges

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Go Python Kubernetes CUDA Terraform

#### Infrastructure

GPU cloud infrastructure and AI compute platform. 32 data centers with 250,000+ NVIDIA GPUs powering AI/ML inference, training, and rendering workloads.

#### Platform

Kubernetes-native cloud platform purpose-built for GPU-accelerated workloads. [Learn more →](https://coreweave.com/?ref=jobsbyculture.com)

#### Focus Areas

AI/ML inference and training, large-scale distributed systems, GPU orchestration, cloud-native infrastructure, and high-performance rendering.

Open Positions

## Join the _CoreWeave_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=coreweave)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ The $700B AI Infrastructure Boom: What It Means for Engineers in 2026](https://jobsbyculture.com/blog/ai-infrastructure-spending-boom-2026)
-   [→ AI Layoffs 2026: 61,000+ Jobs Cut — Who's Actually Hiring](https://jobsbyculture.com/blog/ai-layoffs-2026-who-is-hiring)
-   [→ $300B in Q1 2026: The AI Funding Boom & What It Means for Job Seekers](https://jobsbyculture.com/blog/ai-startup-funding-hiring-2026)

### Compare CoreWeave

-   [→ CoreWeave vs Abridge](https://jobsbyculture.com/compare/abridge-vs-coreweave)
-   [→ CoreWeave vs Adyen](https://jobsbyculture.com/compare/adyen-vs-coreweave)
-   [→ CoreWeave vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-coreweave)
-   [→ CoreWeave vs Airtable](https://jobsbyculture.com/compare/airtable-vs-coreweave)
-   [→ CoreWeave vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-coreweave)
-   [→ CoreWeave vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-coreweave)
-   [→ CoreWeave vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-coreweave)
-   [→ CoreWeave vs Asana](https://jobsbyculture.com/compare/asana-vs-coreweave)
-   [→ CoreWeave vs Baseten](https://jobsbyculture.com/compare/baseten-vs-coreweave)
-   [→ CoreWeave vs Brex](https://jobsbyculture.com/compare/brex-vs-coreweave)
-   [→ CoreWeave vs Celonis](https://jobsbyculture.com/compare/celonis-vs-coreweave)
-   [→ CoreWeave vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-coreweave)
-   [→ CoreWeave vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-coreweave)
-   [→ CoreWeave vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-coreweave)
-   [→ CoreWeave vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-coreweave)
-   [→ CoreWeave vs Cohere](https://jobsbyculture.com/compare/cohere-vs-coreweave)
-   [→ CoreWeave vs Contentful](https://jobsbyculture.com/compare/contentful-vs-coreweave)
-   [→ CoreWeave vs Cresta](https://jobsbyculture.com/compare/coreweave-vs-cresta)
-   [→ CoreWeave vs Crusoe](https://jobsbyculture.com/compare/coreweave-vs-crusoe)
-   [→ CoreWeave vs Cursor](https://jobsbyculture.com/compare/coreweave-vs-cursor)
-   [→ CoreWeave vs Databricks](https://jobsbyculture.com/compare/coreweave-vs-databricks)
-   [→ CoreWeave vs Datadog](https://jobsbyculture.com/compare/coreweave-vs-datadog)
-   [→ CoreWeave vs Decagon](https://jobsbyculture.com/compare/coreweave-vs-decagon)
-   [→ CoreWeave vs DeepL](https://jobsbyculture.com/compare/coreweave-vs-deepl)
-   [→ CoreWeave vs DeepMind](https://jobsbyculture.com/compare/coreweave-vs-deepmind)
-   [→ CoreWeave vs Descript](https://jobsbyculture.com/compare/coreweave-vs-descript)
-   [→ CoreWeave vs Doctolib](https://jobsbyculture.com/compare/coreweave-vs-doctolib)
-   [→ CoreWeave vs Elastic](https://jobsbyculture.com/compare/coreweave-vs-elastic)
-   [→ CoreWeave vs ElevenLabs](https://jobsbyculture.com/compare/coreweave-vs-elevenlabs)
-   [→ CoreWeave vs Figma](https://jobsbyculture.com/compare/coreweave-vs-figma)
-   [→ CoreWeave vs Fireworks AI](https://jobsbyculture.com/compare/coreweave-vs-fireworksai)
-   [→ CoreWeave vs GitLab](https://jobsbyculture.com/compare/coreweave-vs-gitlab)
-   [→ CoreWeave vs Glean](https://jobsbyculture.com/compare/coreweave-vs-glean)
-   [→ CoreWeave vs Grafana Labs](https://jobsbyculture.com/compare/coreweave-vs-grafanalabs)
-   [→ CoreWeave vs Granola](https://jobsbyculture.com/compare/coreweave-vs-granola)
-   [→ CoreWeave vs Harvey AI](https://jobsbyculture.com/compare/coreweave-vs-harvey)
-   [→ CoreWeave vs Hebbia](https://jobsbyculture.com/compare/coreweave-vs-hebbia)
-   [→ CoreWeave vs Helsing](https://jobsbyculture.com/compare/coreweave-vs-helsing)
-   [→ CoreWeave vs HubSpot](https://jobsbyculture.com/compare/coreweave-vs-hubspot)
-   [→ CoreWeave vs Hugging Face](https://jobsbyculture.com/compare/coreweave-vs-huggingface)
-   [→ CoreWeave vs incident.io](https://jobsbyculture.com/compare/coreweave-vs-incidentio)
-   [→ CoreWeave vs Labelbox](https://jobsbyculture.com/compare/coreweave-vs-labelbox)
-   [→ CoreWeave vs Lambda](https://jobsbyculture.com/compare/coreweave-vs-lambda)
-   [→ CoreWeave vs LangChain](https://jobsbyculture.com/compare/coreweave-vs-langchain)
-   [→ CoreWeave vs Linear](https://jobsbyculture.com/compare/coreweave-vs-linear)
-   [→ CoreWeave vs Lovable](https://jobsbyculture.com/compare/coreweave-vs-lovable)
-   [→ CoreWeave vs Mercor](https://jobsbyculture.com/compare/coreweave-vs-mercor)
-   [→ CoreWeave vs Mercury](https://jobsbyculture.com/compare/coreweave-vs-mercury)
-   [→ CoreWeave vs Mistral AI](https://jobsbyculture.com/compare/coreweave-vs-mistral)
-   [→ CoreWeave vs Modal](https://jobsbyculture.com/compare/coreweave-vs-modal)
-   [→ CoreWeave vs MongoDB](https://jobsbyculture.com/compare/coreweave-vs-mongodb)
-   [→ CoreWeave vs n8n](https://jobsbyculture.com/compare/coreweave-vs-n8n)
-   [→ CoreWeave vs Navan](https://jobsbyculture.com/compare/coreweave-vs-navan)
-   [→ CoreWeave vs Notion](https://jobsbyculture.com/compare/coreweave-vs-notion)
-   [→ CoreWeave vs OpenAI](https://jobsbyculture.com/compare/coreweave-vs-openai)
-   [→ CoreWeave vs Perplexity AI](https://jobsbyculture.com/compare/coreweave-vs-perplexity)
-   [→ CoreWeave vs Pinecone](https://jobsbyculture.com/compare/coreweave-vs-pinecone)
-   [→ CoreWeave vs Plaid](https://jobsbyculture.com/compare/coreweave-vs-plaid)
-   [→ CoreWeave vs Poolside AI](https://jobsbyculture.com/compare/coreweave-vs-poolside)
-   [→ CoreWeave vs PostHog](https://jobsbyculture.com/compare/coreweave-vs-posthog)
-   [→ CoreWeave vs Pylon](https://jobsbyculture.com/compare/coreweave-vs-pylon)
-   [→ CoreWeave vs Ramp](https://jobsbyculture.com/compare/coreweave-vs-ramp)
-   [→ CoreWeave vs Replit](https://jobsbyculture.com/compare/coreweave-vs-replit)
-   [→ CoreWeave vs Runway](https://jobsbyculture.com/compare/coreweave-vs-runway)
-   [→ CoreWeave vs Samsara](https://jobsbyculture.com/compare/coreweave-vs-samsara)
-   [→ CoreWeave vs Scale AI](https://jobsbyculture.com/compare/coreweave-vs-scale)
-   [→ CoreWeave vs Sierra AI](https://jobsbyculture.com/compare/coreweave-vs-sierra)
-   [→ CoreWeave vs Snowflake](https://jobsbyculture.com/compare/coreweave-vs-snowflake)
-   [→ CoreWeave vs Stripe](https://jobsbyculture.com/compare/coreweave-vs-stripe)
-   [→ CoreWeave vs Suno](https://jobsbyculture.com/compare/coreweave-vs-suno)
-   [→ CoreWeave vs Supabase](https://jobsbyculture.com/compare/coreweave-vs-supabase)
-   [→ CoreWeave vs Synthesia](https://jobsbyculture.com/compare/coreweave-vs-synthesia)
-   [→ CoreWeave vs Tailscale](https://jobsbyculture.com/compare/coreweave-vs-tailscale)
-   [→ CoreWeave vs Together AI](https://jobsbyculture.com/compare/coreweave-vs-together)
-   [→ CoreWeave vs Twilio](https://jobsbyculture.com/compare/coreweave-vs-twilio)
-   [→ CoreWeave vs Vanta](https://jobsbyculture.com/compare/coreweave-vs-vanta)
-   [→ CoreWeave vs Vast AI](https://jobsbyculture.com/compare/coreweave-vs-vast)
-   [→ CoreWeave vs Vercel](https://jobsbyculture.com/compare/coreweave-vs-vercel)
-   [→ CoreWeave vs Wayve](https://jobsbyculture.com/compare/coreweave-vs-wayve)
-   [→ CoreWeave vs Weaviate](https://jobsbyculture.com/compare/coreweave-vs-weaviate)
-   [→ CoreWeave vs Webflow](https://jobsbyculture.com/compare/coreweave-vs-webflow)
-   [→ CoreWeave vs Writer](https://jobsbyculture.com/compare/coreweave-vs-writer)



🏢

### Claim _CoreWeave_

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### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Cresta Glassdoor, Culture & Careers 2026 | JobsByCulture

# Cresta Glassdoor, Culture & Careers 2026 | JobsByCulture

> Cresta company profile: 4.5 Glassdoor, ~500 employees, $145k–$475k comp. AI contact center intelligence with world-class engineering talent and zero politics.

Source: https://jobsbyculture.com/companies/cresta
Markdown: https://jobsbyculture.com/companies/cresta.md
Last updated: 2026-07-14

---
![Cresta logo](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

# Cresta

AI Contact Center Intelligence — Real-Time Coaching at Enterprise Scale

The consensus on Cresta: Choose Cresta if you want to build AI that transforms how enterprises serve millions of customers — with a world-class engineering team, genuine ownership, and zero politics.

2017

Founded (Stanford)

Palo Alto

Headquarters

~500

Employees

$270M+

Total Funding

Free Work at Cresta? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Cresta

Founded in 2017 by Zayd Enam, Tim Shi, and Stanford professor Sebastian Thrun, Cresta builds AI that coaches contact center agents in real time — helping enterprises like Cox, Blue Nile, and Holiday Inn improve every customer conversation. The engineering bar is exceptionally high: employees consistently describe it as the best engineering team they've worked with, with deep ownership, no politics, and a growth mindset baked into every interaction. The pace is intense — Cresta's operating principle is literally "Do too much" — but the payoff is outsized impact on a product used by some of the world's largest brands.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship-Fast](https://jobsbyculture.com/values/ship-fast) [Learning & Growth](https://jobsbyculture.com/values/learning) [Strong Equity](https://jobsbyculture.com/values/equity) [Product-Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Cresta Glassdoor Ratings & _Employee Reviews_

4.5

Overall Glassdoor Score

Based on 55 reviews

Culture & Values 4.4

Work-Life Balance 3.7

Compensation & Benefits 4.2

Career Opportunities 4.4

Overall Rating 4.5

89% Recommend to a Friend

Employee Review Themes

## Working at Cresta: _Pros & Cons_

### ✓ What employees love

-   ✓ World-class engineering team — no politics, deep ownership, everyone ships
-   ✓ Strong compensation with meaningful equity upside at a high-growth company
-   ✓ Collaborative culture with accessible leadership and monthly transparency all-hands
-   ✓ Real product-market fit — AI that delivers measurable results for Fortune 500 customers

### ✗ What could be better

-   ✗ Fast pace can be at odds with work-life balance — "Do too much" is an operating principle
-   ✗ Hyper-growth means roles and processes are constantly evolving
-   ✗ High expectations and strong accountability from day one — not for everyone
-   ✗ Some in-office expectations for Palo Alto-based roles despite hybrid flexibility

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python Go TypeScript PyTorch Kubernetes

#### Product

Real-time AI coaching for contact centers. Agents get live suggestions, managers get conversation intelligence, and enterprises get measurable revenue lift from every interaction.

#### AI & ML

Production LLMs fine-tuned for real-time conversation understanding. Combines generative AI with domain-specific models for sub-second coaching during live calls. [Learn more →](https://cresta.com?ref=jobsbyculture.com)

#### Team Structure

~500 people with a high ratio of engineers. Small, autonomous teams own entire product surfaces end-to-end. Very little hierarchy — leadership is accessible and decisions happen fast.

Open Positions

## Join the _Cresta_ team

Explore open roles at Cresta below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=cresta)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Becoming an AI Research Engineer in 2026: Skills, Salary, and the Honest Path](https://jobsbyculture.com/blog/becoming-ai-research-engineer-2026)
-   [→ Forward Deployed Engineer: The Fastest-Growing AI Role in 2026 — What It Is, What It Pays, Who's Hiring](https://jobsbyculture.com/blog/forward-deployed-engineer-boom-2026)

### Compare Cresta

-   [→ Cresta vs Abridge](https://jobsbyculture.com/compare/abridge-vs-cresta)
-   [→ Cresta vs Adyen](https://jobsbyculture.com/compare/adyen-vs-cresta)
-   [→ Cresta vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-cresta)
-   [→ Cresta vs Airtable](https://jobsbyculture.com/compare/airtable-vs-cresta)
-   [→ Cresta vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-cresta)
-   [→ Cresta vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-cresta)
-   [→ Cresta vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-cresta)
-   [→ Cresta vs Asana](https://jobsbyculture.com/compare/asana-vs-cresta)
-   [→ Cresta vs Baseten](https://jobsbyculture.com/compare/baseten-vs-cresta)
-   [→ Cresta vs Brex](https://jobsbyculture.com/compare/brex-vs-cresta)
-   [→ Cresta vs Celonis](https://jobsbyculture.com/compare/celonis-vs-cresta)
-   [→ Cresta vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-cresta)
-   [→ Cresta vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-cresta)
-   [→ Cresta vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-cresta)
-   [→ Cresta vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-cresta)
-   [→ Cresta vs Cohere](https://jobsbyculture.com/compare/cohere-vs-cresta)
-   [→ Cresta vs Contentful](https://jobsbyculture.com/compare/contentful-vs-cresta)
-   [→ Cresta vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-cresta)
-   [→ Cresta vs Crusoe](https://jobsbyculture.com/compare/cresta-vs-crusoe)
-   [→ Cresta vs Cursor](https://jobsbyculture.com/compare/cresta-vs-cursor)
-   [→ Cresta vs Databricks](https://jobsbyculture.com/compare/cresta-vs-databricks)
-   [→ Cresta vs Datadog](https://jobsbyculture.com/compare/cresta-vs-datadog)
-   [→ Cresta vs Decagon](https://jobsbyculture.com/compare/cresta-vs-decagon)
-   [→ Cresta vs DeepL](https://jobsbyculture.com/compare/cresta-vs-deepl)
-   [→ Cresta vs DeepMind](https://jobsbyculture.com/compare/cresta-vs-deepmind)
-   [→ Cresta vs Descript](https://jobsbyculture.com/compare/cresta-vs-descript)
-   [→ Cresta vs Doctolib](https://jobsbyculture.com/compare/cresta-vs-doctolib)
-   [→ Cresta vs Elastic](https://jobsbyculture.com/compare/cresta-vs-elastic)
-   [→ Cresta vs ElevenLabs](https://jobsbyculture.com/compare/cresta-vs-elevenlabs)
-   [→ Cresta vs Figma](https://jobsbyculture.com/compare/cresta-vs-figma)
-   [→ Cresta vs Fireworks AI](https://jobsbyculture.com/compare/cresta-vs-fireworksai)
-   [→ Cresta vs GitLab](https://jobsbyculture.com/compare/cresta-vs-gitlab)
-   [→ Cresta vs Glean](https://jobsbyculture.com/compare/cresta-vs-glean)
-   [→ Cresta vs Grafana Labs](https://jobsbyculture.com/compare/cresta-vs-grafanalabs)
-   [→ Cresta vs Granola](https://jobsbyculture.com/compare/cresta-vs-granola)
-   [→ Cresta vs Harvey AI](https://jobsbyculture.com/compare/cresta-vs-harvey)
-   [→ Cresta vs Hebbia](https://jobsbyculture.com/compare/cresta-vs-hebbia)
-   [→ Cresta vs Helsing](https://jobsbyculture.com/compare/cresta-vs-helsing)
-   [→ Cresta vs HubSpot](https://jobsbyculture.com/compare/cresta-vs-hubspot)
-   [→ Cresta vs Hugging Face](https://jobsbyculture.com/compare/cresta-vs-huggingface)
-   [→ Cresta vs incident.io](https://jobsbyculture.com/compare/cresta-vs-incidentio)
-   [→ Cresta vs Labelbox](https://jobsbyculture.com/compare/cresta-vs-labelbox)
-   [→ Cresta vs Lambda](https://jobsbyculture.com/compare/cresta-vs-lambda)
-   [→ Cresta vs LangChain](https://jobsbyculture.com/compare/cresta-vs-langchain)
-   [→ Cresta vs Linear](https://jobsbyculture.com/compare/cresta-vs-linear)
-   [→ Cresta vs Lovable](https://jobsbyculture.com/compare/cresta-vs-lovable)
-   [→ Cresta vs Mercor](https://jobsbyculture.com/compare/cresta-vs-mercor)
-   [→ Cresta vs Mercury](https://jobsbyculture.com/compare/cresta-vs-mercury)
-   [→ Cresta vs Mistral AI](https://jobsbyculture.com/compare/cresta-vs-mistral)
-   [→ Cresta vs Modal](https://jobsbyculture.com/compare/cresta-vs-modal)
-   [→ Cresta vs MongoDB](https://jobsbyculture.com/compare/cresta-vs-mongodb)
-   [→ Cresta vs n8n](https://jobsbyculture.com/compare/cresta-vs-n8n)
-   [→ Cresta vs Navan](https://jobsbyculture.com/compare/cresta-vs-navan)
-   [→ Cresta vs Notion](https://jobsbyculture.com/compare/cresta-vs-notion)
-   [→ Cresta vs OpenAI](https://jobsbyculture.com/compare/cresta-vs-openai)
-   [→ Cresta vs Perplexity AI](https://jobsbyculture.com/compare/cresta-vs-perplexity)
-   [→ Cresta vs Pinecone](https://jobsbyculture.com/compare/cresta-vs-pinecone)
-   [→ Cresta vs Plaid](https://jobsbyculture.com/compare/cresta-vs-plaid)
-   [→ Cresta vs Poolside AI](https://jobsbyculture.com/compare/cresta-vs-poolside)
-   [→ Cresta vs PostHog](https://jobsbyculture.com/compare/cresta-vs-posthog)
-   [→ Cresta vs Pylon](https://jobsbyculture.com/compare/cresta-vs-pylon)
-   [→ Cresta vs Ramp](https://jobsbyculture.com/compare/cresta-vs-ramp)
-   [→ Cresta vs Replit](https://jobsbyculture.com/compare/cresta-vs-replit)
-   [→ Cresta vs Runway](https://jobsbyculture.com/compare/cresta-vs-runway)
-   [→ Cresta vs Samsara](https://jobsbyculture.com/compare/cresta-vs-samsara)
-   [→ Cresta vs Scale AI](https://jobsbyculture.com/compare/cresta-vs-scale)
-   [→ Cresta vs Sierra AI](https://jobsbyculture.com/compare/cresta-vs-sierra)
-   [→ Cresta vs Snowflake](https://jobsbyculture.com/compare/cresta-vs-snowflake)
-   [→ Cresta vs Stripe](https://jobsbyculture.com/compare/cresta-vs-stripe)
-   [→ Cresta vs Suno](https://jobsbyculture.com/compare/cresta-vs-suno)
-   [→ Cresta vs Supabase](https://jobsbyculture.com/compare/cresta-vs-supabase)
-   [→ Cresta vs Synthesia](https://jobsbyculture.com/compare/cresta-vs-synthesia)
-   [→ Cresta vs Tailscale](https://jobsbyculture.com/compare/cresta-vs-tailscale)
-   [→ Cresta vs Together AI](https://jobsbyculture.com/compare/cresta-vs-together)
-   [→ Cresta vs Twilio](https://jobsbyculture.com/compare/cresta-vs-twilio)
-   [→ Cresta vs Vanta](https://jobsbyculture.com/compare/cresta-vs-vanta)
-   [→ Cresta vs Vast AI](https://jobsbyculture.com/compare/cresta-vs-vast)
-   [→ Cresta vs Vercel](https://jobsbyculture.com/compare/cresta-vs-vercel)
-   [→ Cresta vs Wayve](https://jobsbyculture.com/compare/cresta-vs-wayve)
-   [→ Cresta vs Weaviate](https://jobsbyculture.com/compare/cresta-vs-weaviate)
-   [→ Cresta vs Webflow](https://jobsbyculture.com/compare/cresta-vs-webflow)
-   [→ Cresta vs Writer](https://jobsbyculture.com/compare/cresta-vs-writer)



🏢

### Claim _Cresta_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Crusoe Culture & Jobs | JobsByCulture

# Crusoe Culture & Jobs | JobsByCulture

> Crusoe engineering culture: 3.4 Glassdoor, AI cloud infrastructure powered by clean energy. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/crusoe
Markdown: https://jobsbyculture.com/companies/crusoe.md
Last updated: 2026-07-14

---
![Crusoe logo](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

# Crusoe

AI Cloud Infrastructure Powered by Clean Energy — Sustainable Data Centers for AI/ML Workloads

The consensus on Crusoe: Choose Crusoe if you want to combine AI infrastructure work with genuine environmental impact and startup energy — but expect fast pace and evolving processes.

2018

Founded

Denver, CO

Headquarters

~1,400

Employees

Free Work at Crusoe? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Crusoe

Founded in 2018 by Chase Lochmiller and Cully Cavness, Crusoe builds AI cloud infrastructure powered by stranded and clean energy sources. The culture is mission-driven with a genuine focus on reducing the environmental footprint of compute. Expect a startup atmosphere where engineers wear many hats, ship fast, and tackle hard problems at the intersection of energy infrastructure and AI workloads.

[Ship Fast](https://jobsbyculture.com/values/ship-fast) [Social Impact](https://jobsbyculture.com/values/social-impact) [Many Hats](https://jobsbyculture.com/values/many-hats) [Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Crusoe Glassdoor Ratings & _Employee Reviews_

3.4

Overall Glassdoor Score

Based on 41 reviews

Culture & Values 3.5

Career Opportunities 3.4

Work-Life Balance 3.3

Overall Rating 3.4

58% Recommend to a Friend

Employee Review Themes

## Working at Crusoe: _Pros & Cons_

### ✓ What employees love

-   ✓ Unique mission combining AI compute with clean energy — employees feel genuine environmental impact
-   ✓ Strong compensation and equity with startup energy and rapidly growing resources

### ✗ What could be better

-   ✗ Startup pace means long hours and ambiguity — not for people who want strict 9-to-5
-   ✗ Rapid scaling creates process gaps, shifting priorities, and some organizational chaos

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python Go Kubernetes CUDA

#### Infrastructure Focus

Builds and operates GPU cloud infrastructure at scale, with deep expertise in data center design, energy systems, and high-performance computing for AI workloads.

#### Careers

Explore open roles across engineering, infrastructure, and operations. [View careers →](https://www.crusoe.ai/careers/?ref=jobsbyculture.com)

#### Team Structure

Fast-moving, eng-driven teams with high ownership. Engineers work across the full stack from hardware infrastructure to cloud platform software.

Open Positions

## Join the _Crusoe_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=crusoe)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ The AI Infrastructure Hiring Boom: 650,000 Jobs, $700B in Capex & Who's Winning the Talent War](https://jobsbyculture.com/blog/ai-infrastructure-hiring-boom-2026)
-   [→ AI Layoffs 2026: 61,000+ Jobs Cut — Who's Actually Hiring](https://jobsbyculture.com/blog/ai-layoffs-2026-who-is-hiring)
-   [→ AI Employer Brand Benchmarks 2026: Median 4.2 Glassdoor, 3.8 WLB Across 118 Companies](https://jobsbyculture.com/blog/employer-brand-benchmarks-ai-2026)
-   [→ Fastest-Growing Tech Companies Hiring in 2026: Who’s Scaling the Fastest](https://jobsbyculture.com/blog/fastest-growing-tech-companies-2026)

### Compare Crusoe

-   [→ Crusoe vs Abridge](https://jobsbyculture.com/compare/abridge-vs-crusoe)
-   [→ Crusoe vs Adyen](https://jobsbyculture.com/compare/adyen-vs-crusoe)
-   [→ Crusoe vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-crusoe)
-   [→ Crusoe vs Airtable](https://jobsbyculture.com/compare/airtable-vs-crusoe)
-   [→ Crusoe vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-crusoe)
-   [→ Crusoe vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-crusoe)
-   [→ Crusoe vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-crusoe)
-   [→ Crusoe vs Asana](https://jobsbyculture.com/compare/asana-vs-crusoe)
-   [→ Crusoe vs Baseten](https://jobsbyculture.com/compare/baseten-vs-crusoe)
-   [→ Crusoe vs Brex](https://jobsbyculture.com/compare/brex-vs-crusoe)
-   [→ Crusoe vs Celonis](https://jobsbyculture.com/compare/celonis-vs-crusoe)
-   [→ Crusoe vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-crusoe)
-   [→ Crusoe vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-crusoe)
-   [→ Crusoe vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-crusoe)
-   [→ Crusoe vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-crusoe)
-   [→ Crusoe vs Cohere](https://jobsbyculture.com/compare/cohere-vs-crusoe)
-   [→ Crusoe vs Contentful](https://jobsbyculture.com/compare/contentful-vs-crusoe)
-   [→ Crusoe vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-crusoe)
-   [→ Crusoe vs Cresta](https://jobsbyculture.com/compare/cresta-vs-crusoe)
-   [→ Crusoe vs Cursor](https://jobsbyculture.com/compare/crusoe-vs-cursor)
-   [→ Crusoe vs Databricks](https://jobsbyculture.com/compare/crusoe-vs-databricks)
-   [→ Crusoe vs Datadog](https://jobsbyculture.com/compare/crusoe-vs-datadog)
-   [→ Crusoe vs Decagon](https://jobsbyculture.com/compare/crusoe-vs-decagon)
-   [→ Crusoe vs DeepL](https://jobsbyculture.com/compare/crusoe-vs-deepl)
-   [→ Crusoe vs DeepMind](https://jobsbyculture.com/compare/crusoe-vs-deepmind)
-   [→ Crusoe vs Descript](https://jobsbyculture.com/compare/crusoe-vs-descript)
-   [→ Crusoe vs Doctolib](https://jobsbyculture.com/compare/crusoe-vs-doctolib)
-   [→ Crusoe vs Elastic](https://jobsbyculture.com/compare/crusoe-vs-elastic)
-   [→ Crusoe vs ElevenLabs](https://jobsbyculture.com/compare/crusoe-vs-elevenlabs)
-   [→ Crusoe vs Figma](https://jobsbyculture.com/compare/crusoe-vs-figma)
-   [→ Crusoe vs Fireworks AI](https://jobsbyculture.com/compare/crusoe-vs-fireworksai)
-   [→ Crusoe vs GitLab](https://jobsbyculture.com/compare/crusoe-vs-gitlab)
-   [→ Crusoe vs Glean](https://jobsbyculture.com/compare/crusoe-vs-glean)
-   [→ Crusoe vs Grafana Labs](https://jobsbyculture.com/compare/crusoe-vs-grafanalabs)
-   [→ Crusoe vs Granola](https://jobsbyculture.com/compare/crusoe-vs-granola)
-   [→ Crusoe vs Harvey AI](https://jobsbyculture.com/compare/crusoe-vs-harvey)
-   [→ Crusoe vs Hebbia](https://jobsbyculture.com/compare/crusoe-vs-hebbia)
-   [→ Crusoe vs Helsing](https://jobsbyculture.com/compare/crusoe-vs-helsing)
-   [→ Crusoe vs HubSpot](https://jobsbyculture.com/compare/crusoe-vs-hubspot)
-   [→ Crusoe vs Hugging Face](https://jobsbyculture.com/compare/crusoe-vs-huggingface)
-   [→ Crusoe vs incident.io](https://jobsbyculture.com/compare/crusoe-vs-incidentio)
-   [→ Crusoe vs Labelbox](https://jobsbyculture.com/compare/crusoe-vs-labelbox)
-   [→ Crusoe vs Lambda](https://jobsbyculture.com/compare/crusoe-vs-lambda)
-   [→ Crusoe vs LangChain](https://jobsbyculture.com/compare/crusoe-vs-langchain)
-   [→ Crusoe vs Linear](https://jobsbyculture.com/compare/crusoe-vs-linear)
-   [→ Crusoe vs Lovable](https://jobsbyculture.com/compare/crusoe-vs-lovable)
-   [→ Crusoe vs Mercor](https://jobsbyculture.com/compare/crusoe-vs-mercor)
-   [→ Crusoe vs Mercury](https://jobsbyculture.com/compare/crusoe-vs-mercury)
-   [→ Crusoe vs Mistral AI](https://jobsbyculture.com/compare/crusoe-vs-mistral)
-   [→ Crusoe vs Modal](https://jobsbyculture.com/compare/crusoe-vs-modal)
-   [→ Crusoe vs MongoDB](https://jobsbyculture.com/compare/crusoe-vs-mongodb)
-   [→ Crusoe vs n8n](https://jobsbyculture.com/compare/crusoe-vs-n8n)
-   [→ Crusoe vs Navan](https://jobsbyculture.com/compare/crusoe-vs-navan)
-   [→ Crusoe vs Notion](https://jobsbyculture.com/compare/crusoe-vs-notion)
-   [→ Crusoe vs OpenAI](https://jobsbyculture.com/compare/crusoe-vs-openai)
-   [→ Crusoe vs Perplexity AI](https://jobsbyculture.com/compare/crusoe-vs-perplexity)
-   [→ Crusoe vs Pinecone](https://jobsbyculture.com/compare/crusoe-vs-pinecone)
-   [→ Crusoe vs Plaid](https://jobsbyculture.com/compare/crusoe-vs-plaid)
-   [→ Crusoe vs Poolside AI](https://jobsbyculture.com/compare/crusoe-vs-poolside)
-   [→ Crusoe vs PostHog](https://jobsbyculture.com/compare/crusoe-vs-posthog)
-   [→ Crusoe vs Pylon](https://jobsbyculture.com/compare/crusoe-vs-pylon)
-   [→ Crusoe vs Ramp](https://jobsbyculture.com/compare/crusoe-vs-ramp)
-   [→ Crusoe vs Replit](https://jobsbyculture.com/compare/crusoe-vs-replit)
-   [→ Crusoe vs Runway](https://jobsbyculture.com/compare/crusoe-vs-runway)
-   [→ Crusoe vs Samsara](https://jobsbyculture.com/compare/crusoe-vs-samsara)
-   [→ Crusoe vs Scale AI](https://jobsbyculture.com/compare/crusoe-vs-scale)
-   [→ Crusoe vs Sierra AI](https://jobsbyculture.com/compare/crusoe-vs-sierra)
-   [→ Crusoe vs Snowflake](https://jobsbyculture.com/compare/crusoe-vs-snowflake)
-   [→ Crusoe vs Stripe](https://jobsbyculture.com/compare/crusoe-vs-stripe)
-   [→ Crusoe vs Suno](https://jobsbyculture.com/compare/crusoe-vs-suno)
-   [→ Crusoe vs Supabase](https://jobsbyculture.com/compare/crusoe-vs-supabase)
-   [→ Crusoe vs Synthesia](https://jobsbyculture.com/compare/crusoe-vs-synthesia)
-   [→ Crusoe vs Tailscale](https://jobsbyculture.com/compare/crusoe-vs-tailscale)
-   [→ Crusoe vs Together AI](https://jobsbyculture.com/compare/crusoe-vs-together)
-   [→ Crusoe vs Twilio](https://jobsbyculture.com/compare/crusoe-vs-twilio)
-   [→ Crusoe vs Vanta](https://jobsbyculture.com/compare/crusoe-vs-vanta)
-   [→ Crusoe vs Vast AI](https://jobsbyculture.com/compare/crusoe-vs-vast)
-   [→ Crusoe vs Vercel](https://jobsbyculture.com/compare/crusoe-vs-vercel)
-   [→ Crusoe vs Wayve](https://jobsbyculture.com/compare/crusoe-vs-wayve)
-   [→ Crusoe vs Weaviate](https://jobsbyculture.com/compare/crusoe-vs-weaviate)
-   [→ Crusoe vs Webflow](https://jobsbyculture.com/compare/crusoe-vs-webflow)
-   [→ Crusoe vs Writer](https://jobsbyculture.com/compare/crusoe-vs-writer)



🏢

### Claim _Crusoe_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Cryptio Culture & Jobs | JobsByCulture

# Cryptio Culture & Jobs | JobsByCulture

> Cryptio engineering culture: 4.0 Glassdoor, enterprise crypto accounting platform. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/cryptio
Markdown: https://jobsbyculture.com/companies/cryptio.md
Last updated: 2026-07-14

---
![Cryptio logo](https://www.google.com/s2/favicons?domain=cryptio.co&sz=128)

# Cryptio

Enterprise-Grade Crypto Accounting, Tax & Financial Reporting Platform

Enterprise crypto accounting with a brilliant team and intense pace. Choose Cryptio if you want to work alongside exceptionally sharp people on the definitive platform for institutional crypto — but expect the 24/7 crypto pace.

2018

Founded

Paris, France

Headquarters

~110

Employees

$45M

Series B (March 2026)

Free Work at Cryptio? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Cryptio

Cryptio is the leading enterprise crypto accounting platform, transforming on-chain crypto activity into auditable records. Founded in 2018 and headquartered in Paris, the company raised a $45M Series B in March 2026 led by BlackFin Capital and Sentinel Global, bringing total funding to ~$70M. Their platform supports 400+ enterprises across 30+ countries, including major players like Société Générale's SG Forge, Circle, and Gemini. The team is described as exceptionally bright — "borderline genius, brilliant minds" with high expectations to match. Culture is genuinely valued, and people want to be there. However, the crypto industry's 24/7 nature means the pace is intense.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Product Impact](https://jobsbyculture.com/values/product-impact) [Many Hats](https://jobsbyculture.com/values/many-hats)

Glassdoor Ratings

## Cryptio Glassdoor Ratings & _Employee Reviews_

4.1

Overall Glassdoor Score

Based on 39 reviews

Work-Life Balance 3.5

Overall Rating 4.1

Based on Glassdoor reviews. Full sub-score breakdown not shown.

Employee Review Themes

## Working at Cryptio: _Pros & Cons_

### ✓ What employees love

-   ✓ Brilliant, high-caliber team — some of the sharpest minds in crypto infrastructure
-   ✓ Culture is a core value — people genuinely want to be here
-   ✓ Just raised $45M Series B — strong growth trajectory with tier-1 clients
-   ✓ Enterprise-grade product used by Société Générale, Circle, Gemini

### ✗ What could be better

-   ✗ Crypto is 24/7 — can be hard to switch off
-   ✗ EU-heavy team but US timezone expectations
-   ✗ Intense environment with high expectations
-   ✗ Small team means wearing many hats

Engineering Culture

## How the _engineering_ team works

#### Product Focus

Enterprise crypto accounting — transforming raw on-chain activity into audit-ready financial records. Supporting 400+ enterprises across 30+ countries with compliant reporting.

#### Clients & Scale

Tier-1 enterprise clients including Société Générale's SG Forge, Circle, Gemini, and Securitize. The platform handles complex on-chain data at institutional scale.

#### Team Structure

Small, engineering-driven team (~110 people total) where individual contributors have direct product impact. Expect to wear multiple hats and ship features end-to-end.

#### Growth & Funding

$45M Series B (March 2026) led by BlackFin Capital and Sentinel Global. ~$70M total raised. Strong enterprise traction in a rapidly growing market.

Open Positions

## Join the _Cryptio_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=cryptio)

Explore More

## Related _content_

### Browse by Culture Value

-   [→ Engineering-Driven Companies](https://jobsbyculture.com/values/eng-driven)
-   [→ Ship Fast Companies](https://jobsbyculture.com/values/ship-fast)
-   [→ Product Impact Companies](https://jobsbyculture.com/values/product-impact)
-   [→ Many Hats Companies](https://jobsbyculture.com/values/many-hats)

### Explore More

-   [→ Full Culture Directory](https://jobsbyculture.com/companies)
-   [→ Browse All Jobs](https://jobsbyculture.com/jobs)
-   [→ Compare Companies](https://jobsbyculture.com/compare)



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## Document: Cursor (Anysphere) Glassdoor, Culture & Careers 2026 | JobsByCulture

# Cursor (Anysphere) Glassdoor, Culture & Careers 2026 | JobsByCulture

> Cursor (Anysphere) company profile: ~300 employees, $200k–$400k comp. Work-life balance, culture reviews, and open careers at the AI code editor.

Source: https://jobsbyculture.com/companies/cursor
Markdown: https://jobsbyculture.com/companies/cursor.md
Last updated: 2026-07-14

---
![Cursor logo](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

# Cursor

AI-Native Code Editor — The Most-Loved Dev Tool

The consensus on Cursor (Anysphere): Choose Cursor if you want to shape the future of AI-assisted coding on a tiny team — but the pace is relentless.

2022

Founded (MIT)

San Francisco

Headquarters

~300

Employees

~$60B

Valuation

Free Work at Cursor? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Cursor

Founded in 2022 by Michael Truell, Sualeh Asif, Arvid Lunnemark, and Aman Sanger out of MIT, Cursor (Anysphere) is building the AI-native code editor that developers love. The culture is pure product-engineering — a lean team with extreme ownership, zero bloat, and a relentless focus on shipping. Every engineer has outsized impact on the product used by millions of developers daily.

[Ship-Fast](https://jobsbyculture.com/values/ship-fast) [Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Product-Impact](https://jobsbyculture.com/values/product-impact) [Flat Hierarchy](https://jobsbyculture.com/values/flat) [Many-Hats](https://jobsbyculture.com/values/many-hats)

Glassdoor Ratings

## Cursor Glassdoor Ratings & _Employee Reviews_

76% Recommend to a Friend

~90% CEO Approval

Employee Review Themes

## Working at Cursor: _Pros & Cons_

### ✓ What employees love

-   ✓ Building the most-loved AI code editor — massive developer love and daily impact
-   ✓ Tiny team, extreme ownership — every person shapes the product directly
-   ✓ Top compensation for stage — competitive with much larger AI companies
-   ✓ Pure product-engineering culture, no bloat — just building and shipping

### ✗ What could be better

-   ✗ Extremely small team = no specialists; everyone does everything
-   ✗ Intense pace — the speed of shipping can be relentless
-   ✗ Limited HR/people ops
-   ✗ Career growth bounded by team size — limited management track

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

TypeScript Rust Python

#### Product

Cursor editor built as a VS Code fork with deep AI integration. AI-native IDE with proprietary models powering autocomplete, chat, and code generation.

#### AI & ML

Proprietary models fine-tuned for code understanding. Combines frontier LLMs with custom models for low-latency, high-quality code suggestions. [Try Cursor →](https://cursor.com/?ref=jobsbyculture.com)

#### Team Structure

Extremely flat. Mostly engineers. No traditional management layers. Engineers own features end-to-end from ideation to production.

Open Positions

## Join the _Cursor_ team

Explore all 115 open roles at Cursor below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=cursor)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Agentic AI Jobs Grew 280% in 2026 — The Roles, Salaries & Companies Hiring Now](https://jobsbyculture.com/blog/agentic-ai-hiring-boom-2026)
-   [→ AI Agent Memory Systems: A 2026 Engineering Guide (Letta, LangMem, Mem0, Zep)](https://jobsbyculture.com/blog/ai-agent-memory-systems-guide-2026)
-   [→ AI Agents Are Replacing SaaS — What It Means for Tech Careers in 2026](https://jobsbyculture.com/blog/ai-agents-replacing-saas-2026)
-   [→ AI Code Assistants Compared 2026: Cursor vs Claude Code vs Copilot vs Windsurf](https://jobsbyculture.com/blog/ai-code-assistants-compared-2026)
-   [→ AI Coding Agents Compared in 2026: Claude Code, Cursor, Windsurf, Cline, Aider, Devin](https://jobsbyculture.com/blog/ai-coding-agents-compared-2026)

### Compare Cursor

-   [→ Cursor vs Abridge](https://jobsbyculture.com/compare/abridge-vs-cursor)
-   [→ Cursor vs Adyen](https://jobsbyculture.com/compare/adyen-vs-cursor)
-   [→ Cursor vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-cursor)
-   [→ Cursor vs Airtable](https://jobsbyculture.com/compare/airtable-vs-cursor)
-   [→ Cursor vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-cursor)
-   [→ Cursor vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-cursor)
-   [→ Cursor vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-cursor)
-   [→ Cursor vs Asana](https://jobsbyculture.com/compare/asana-vs-cursor)
-   [→ Cursor vs Baseten](https://jobsbyculture.com/compare/baseten-vs-cursor)
-   [→ Cursor vs Brex](https://jobsbyculture.com/compare/brex-vs-cursor)
-   [→ Cursor vs Celonis](https://jobsbyculture.com/compare/celonis-vs-cursor)
-   [→ Cursor vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-cursor)
-   [→ Cursor vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-cursor)
-   [→ Cursor vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-cursor)
-   [→ Cursor vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-cursor)
-   [→ Cursor vs Cohere](https://jobsbyculture.com/compare/cohere-vs-cursor)
-   [→ Cursor vs Contentful](https://jobsbyculture.com/compare/contentful-vs-cursor)
-   [→ Cursor vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-cursor)
-   [→ Cursor vs Cresta](https://jobsbyculture.com/compare/cresta-vs-cursor)
-   [→ Cursor vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-cursor)
-   [→ Cursor vs Databricks](https://jobsbyculture.com/compare/cursor-vs-databricks)
-   [→ Cursor vs Datadog](https://jobsbyculture.com/compare/cursor-vs-datadog)
-   [→ Cursor vs Decagon](https://jobsbyculture.com/compare/cursor-vs-decagon)
-   [→ Cursor vs DeepL](https://jobsbyculture.com/compare/cursor-vs-deepl)
-   [→ Cursor vs DeepMind](https://jobsbyculture.com/compare/cursor-vs-deepmind)
-   [→ Cursor vs Descript](https://jobsbyculture.com/compare/cursor-vs-descript)
-   [→ Cursor vs Doctolib](https://jobsbyculture.com/compare/cursor-vs-doctolib)
-   [→ Cursor vs Elastic](https://jobsbyculture.com/compare/cursor-vs-elastic)
-   [→ Cursor vs ElevenLabs](https://jobsbyculture.com/compare/cursor-vs-elevenlabs)
-   [→ Cursor vs Figma](https://jobsbyculture.com/compare/cursor-vs-figma)
-   [→ Cursor vs Fireworks AI](https://jobsbyculture.com/compare/cursor-vs-fireworksai)
-   [→ Cursor vs github-copilot](https://jobsbyculture.com/compare/cursor-vs-github-copilot)
-   [→ Cursor vs GitLab](https://jobsbyculture.com/compare/cursor-vs-gitlab)
-   [→ Cursor vs Glean](https://jobsbyculture.com/compare/cursor-vs-glean)
-   [→ Cursor vs Grafana Labs](https://jobsbyculture.com/compare/cursor-vs-grafanalabs)
-   [→ Cursor vs Granola](https://jobsbyculture.com/compare/cursor-vs-granola)
-   [→ Cursor vs Harvey AI](https://jobsbyculture.com/compare/cursor-vs-harvey)
-   [→ Cursor vs Hebbia](https://jobsbyculture.com/compare/cursor-vs-hebbia)
-   [→ Cursor vs Helsing](https://jobsbyculture.com/compare/cursor-vs-helsing)
-   [→ Cursor vs HubSpot](https://jobsbyculture.com/compare/cursor-vs-hubspot)
-   [→ Cursor vs Hugging Face](https://jobsbyculture.com/compare/cursor-vs-huggingface)
-   [→ Cursor vs incident.io](https://jobsbyculture.com/compare/cursor-vs-incidentio)
-   [→ Cursor vs Labelbox](https://jobsbyculture.com/compare/cursor-vs-labelbox)
-   [→ Cursor vs Lambda](https://jobsbyculture.com/compare/cursor-vs-lambda)
-   [→ Cursor vs LangChain](https://jobsbyculture.com/compare/cursor-vs-langchain)
-   [→ Cursor vs Linear](https://jobsbyculture.com/compare/cursor-vs-linear)
-   [→ Cursor vs Lovable](https://jobsbyculture.com/compare/cursor-vs-lovable)
-   [→ Cursor vs Mercor](https://jobsbyculture.com/compare/cursor-vs-mercor)
-   [→ Cursor vs Mercury](https://jobsbyculture.com/compare/cursor-vs-mercury)
-   [→ Cursor vs Mistral AI](https://jobsbyculture.com/compare/cursor-vs-mistral)
-   [→ Cursor vs Modal](https://jobsbyculture.com/compare/cursor-vs-modal)
-   [→ Cursor vs MongoDB](https://jobsbyculture.com/compare/cursor-vs-mongodb)
-   [→ Cursor vs n8n](https://jobsbyculture.com/compare/cursor-vs-n8n)
-   [→ Cursor vs Navan](https://jobsbyculture.com/compare/cursor-vs-navan)
-   [→ Cursor vs Notion](https://jobsbyculture.com/compare/cursor-vs-notion)
-   [→ Cursor vs OpenAI](https://jobsbyculture.com/compare/cursor-vs-openai)
-   [→ Cursor vs Perplexity AI](https://jobsbyculture.com/compare/cursor-vs-perplexity)
-   [→ Cursor vs Pinecone](https://jobsbyculture.com/compare/cursor-vs-pinecone)
-   [→ Cursor vs Plaid](https://jobsbyculture.com/compare/cursor-vs-plaid)
-   [→ Cursor vs Poolside AI](https://jobsbyculture.com/compare/cursor-vs-poolside)
-   [→ Cursor vs PostHog](https://jobsbyculture.com/compare/cursor-vs-posthog)
-   [→ Cursor vs Pylon](https://jobsbyculture.com/compare/cursor-vs-pylon)
-   [→ Cursor vs Ramp](https://jobsbyculture.com/compare/cursor-vs-ramp)
-   [→ Cursor vs Replit](https://jobsbyculture.com/compare/cursor-vs-replit)
-   [→ Cursor vs Runway](https://jobsbyculture.com/compare/cursor-vs-runway)
-   [→ Cursor vs Samsara](https://jobsbyculture.com/compare/cursor-vs-samsara)
-   [→ Cursor vs Scale AI](https://jobsbyculture.com/compare/cursor-vs-scale)
-   [→ Cursor vs Sierra AI](https://jobsbyculture.com/compare/cursor-vs-sierra)
-   [→ Cursor vs Snowflake](https://jobsbyculture.com/compare/cursor-vs-snowflake)
-   [→ Cursor vs Stripe](https://jobsbyculture.com/compare/cursor-vs-stripe)
-   [→ Cursor vs Suno](https://jobsbyculture.com/compare/cursor-vs-suno)
-   [→ Cursor vs Supabase](https://jobsbyculture.com/compare/cursor-vs-supabase)
-   [→ Cursor vs Synthesia](https://jobsbyculture.com/compare/cursor-vs-synthesia)
-   [→ Cursor vs Tailscale](https://jobsbyculture.com/compare/cursor-vs-tailscale)
-   [→ Cursor vs Together AI](https://jobsbyculture.com/compare/cursor-vs-together)
-   [→ Cursor vs Twilio](https://jobsbyculture.com/compare/cursor-vs-twilio)
-   [→ Cursor vs Vanta](https://jobsbyculture.com/compare/cursor-vs-vanta)
-   [→ Cursor vs Vast AI](https://jobsbyculture.com/compare/cursor-vs-vast)
-   [→ Cursor vs Vercel](https://jobsbyculture.com/compare/cursor-vs-vercel)
-   [→ Cursor vs Wayve](https://jobsbyculture.com/compare/cursor-vs-wayve)
-   [→ Cursor vs Weaviate](https://jobsbyculture.com/compare/cursor-vs-weaviate)
-   [→ Cursor vs Webflow](https://jobsbyculture.com/compare/cursor-vs-webflow)
-   [→ Cursor vs Writer](https://jobsbyculture.com/compare/cursor-vs-writer)



🏢

### Claim _Cursor_

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We'll respond within 24 hours. No spam, ever.

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---

## Document: Databricks Culture & Jobs | JobsByCulture

# Databricks Culture & Jobs | JobsByCulture

> Databricks engineering culture: 4.0 Glassdoor, Apache Spark creators, $165–175B valuation. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/databricks
Markdown: https://jobsbyculture.com/companies/databricks.md
Last updated: 2026-07-14

---
![Databricks logo](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

# Databricks

Data + AI Platform — Creators of Apache Spark & the Lakehouse

The consensus on Databricks: Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.

2013

Founded

San Francisco

Headquarters

~15,000

Employees

$165–175B

Valuation (target)

Free Work at Databricks? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## Built by the people who _created_ Spark

Databricks was founded in 2013 by the original creators of Apache Spark, Delta Lake, and MLflow. That engineering-first DNA runs deep. With a valuation targeting $165–175B in its latest funding round and roughly 15,000 employees, Databricks has grown into the undisputed leader of the data lakehouse category. The culture balances startup intensity with the resources of a late-stage giant — internal tech talks, generous learning budgets, and a genuine belief that engineers should drive product decisions.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Learning & Growth](https://jobsbyculture.com/values/learning) [Strong Comp & Equity](https://jobsbyculture.com/values/equity) [Diverse & Inclusive](https://jobsbyculture.com/values/diverse) [Direct Product Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Databricks Glassdoor Ratings & _Employee Reviews_

4.0

Overall Glassdoor Score

Based on 1,682 reviews

Culture & Values 3.8

Work-Life Balance 3.4

Compensation & Benefits 4.2

Career Opportunities 3.9

Overall Rating 4.0

76% Recommend to a Friend

88% CEO Approval

Employee Review Themes

## Working at Databricks: _Pros & Cons_

### ✓ What employees love

-   ✓ Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree across the org
-   ✓ Strong compensation and equity packages that are consistently above market
-   ✓ Genuine learning culture with internal tech talks, knowledge sharing, and learning budgets
-   ✓ Data lakehouse category leader — working on infrastructure that defines the industry

### ✗ What could be better

-   ✗ Hypergrowth means org changes are constant — teams restructure frequently
-   ✗ Some legacy Spark-era tech debt that can slow down new feature development
-   ✗ Some large-company dynamics are emerging as the org scales past 7,000 employees
-   ✗ Work-life balance varies heavily by team — some teams are intense, others are chill

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Scala Python Go Rust

#### Open Source & Research

Apache Spark Delta Lake MLflow

#### AI / ML

Mosaic AI (acquired 2023) — integrating foundation model capabilities into the Databricks platform.

#### Team Structure

Engineering-first culture where founders built the core tech. Small teams with high ownership, operating at massive scale.

Open Positions

## Join the _Databricks_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=databricks)

Explore More

## Related _content_

### Blog Posts

-   [→ How AI Coding Tools Are Reshaping Developer Hiring in 2026](https://jobsbyculture.com/blog/ai-coding-tools-reshaping-developer-hiring-2026)
-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Cost Optimization Guide 2026: How to Cut Your LLM Bill 60-90% Without Hurting Quality](https://jobsbyculture.com/blog/ai-cost-optimization-guide-2026)
-   [→ AI Engineer Salary Guide 2026: What Companies Actually Pay by Level](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026)
-   [→ The AI Hiring Paradox: 92,000 Laid Off, Millions of New Jobs — What's Actually Happening in Tech (May 2026)](https://jobsbyculture.com/blog/ai-hiring-paradox-may-2026)

### Compare Databricks

-   [→ Databricks vs Abridge](https://jobsbyculture.com/compare/abridge-vs-databricks)
-   [→ Databricks vs Adyen](https://jobsbyculture.com/compare/adyen-vs-databricks)
-   [→ Databricks vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-databricks)
-   [→ Databricks vs Airtable](https://jobsbyculture.com/compare/airtable-vs-databricks)
-   [→ Databricks vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-databricks)
-   [→ Databricks vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-databricks)
-   [→ Databricks vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-databricks)
-   [→ Databricks vs Asana](https://jobsbyculture.com/compare/asana-vs-databricks)
-   [→ Databricks vs Baseten](https://jobsbyculture.com/compare/baseten-vs-databricks)
-   [→ Databricks vs Brex](https://jobsbyculture.com/compare/brex-vs-databricks)
-   [→ Databricks vs Celonis](https://jobsbyculture.com/compare/celonis-vs-databricks)
-   [→ Databricks vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-databricks)
-   [→ Databricks vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-databricks)
-   [→ Databricks vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-databricks)
-   [→ Databricks vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-databricks)
-   [→ Databricks vs Cohere](https://jobsbyculture.com/compare/cohere-vs-databricks)
-   [→ Databricks vs Contentful](https://jobsbyculture.com/compare/contentful-vs-databricks)
-   [→ Databricks vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-databricks)
-   [→ Databricks vs Cresta](https://jobsbyculture.com/compare/cresta-vs-databricks)
-   [→ Databricks vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-databricks)
-   [→ Databricks vs Cursor](https://jobsbyculture.com/compare/cursor-vs-databricks)
-   [→ Databricks vs Datadog](https://jobsbyculture.com/compare/databricks-vs-datadog)
-   [→ Databricks vs Decagon](https://jobsbyculture.com/compare/databricks-vs-decagon)
-   [→ Databricks vs DeepL](https://jobsbyculture.com/compare/databricks-vs-deepl)
-   [→ Databricks vs DeepMind](https://jobsbyculture.com/compare/databricks-vs-deepmind)
-   [→ Databricks vs Descript](https://jobsbyculture.com/compare/databricks-vs-descript)
-   [→ Databricks vs Doctolib](https://jobsbyculture.com/compare/databricks-vs-doctolib)
-   [→ Databricks vs Elastic](https://jobsbyculture.com/compare/databricks-vs-elastic)
-   [→ Databricks vs ElevenLabs](https://jobsbyculture.com/compare/databricks-vs-elevenlabs)
-   [→ Databricks vs Figma](https://jobsbyculture.com/compare/databricks-vs-figma)
-   [→ Databricks vs Fireworks AI](https://jobsbyculture.com/compare/databricks-vs-fireworksai)
-   [→ Databricks vs GitLab](https://jobsbyculture.com/compare/databricks-vs-gitlab)
-   [→ Databricks vs Glean](https://jobsbyculture.com/compare/databricks-vs-glean)
-   [→ Databricks vs Grafana Labs](https://jobsbyculture.com/compare/databricks-vs-grafanalabs)
-   [→ Databricks vs Granola](https://jobsbyculture.com/compare/databricks-vs-granola)
-   [→ Databricks vs Harvey AI](https://jobsbyculture.com/compare/databricks-vs-harvey)
-   [→ Databricks vs Hebbia](https://jobsbyculture.com/compare/databricks-vs-hebbia)
-   [→ Databricks vs Helsing](https://jobsbyculture.com/compare/databricks-vs-helsing)
-   [→ Databricks vs HubSpot](https://jobsbyculture.com/compare/databricks-vs-hubspot)
-   [→ Databricks vs Hugging Face](https://jobsbyculture.com/compare/databricks-vs-huggingface)
-   [→ Databricks vs incident.io](https://jobsbyculture.com/compare/databricks-vs-incidentio)
-   [→ Databricks vs Labelbox](https://jobsbyculture.com/compare/databricks-vs-labelbox)
-   [→ Databricks vs Lambda](https://jobsbyculture.com/compare/databricks-vs-lambda)
-   [→ Databricks vs LangChain](https://jobsbyculture.com/compare/databricks-vs-langchain)
-   [→ Databricks vs Linear](https://jobsbyculture.com/compare/databricks-vs-linear)
-   [→ Databricks vs Lovable](https://jobsbyculture.com/compare/databricks-vs-lovable)
-   [→ Databricks vs Mercor](https://jobsbyculture.com/compare/databricks-vs-mercor)
-   [→ Databricks vs Mercury](https://jobsbyculture.com/compare/databricks-vs-mercury)
-   [→ Databricks vs Mistral AI](https://jobsbyculture.com/compare/databricks-vs-mistral)
-   [→ Databricks vs Modal](https://jobsbyculture.com/compare/databricks-vs-modal)
-   [→ Databricks vs MongoDB](https://jobsbyculture.com/compare/databricks-vs-mongodb)
-   [→ Databricks vs n8n](https://jobsbyculture.com/compare/databricks-vs-n8n)
-   [→ Databricks vs Navan](https://jobsbyculture.com/compare/databricks-vs-navan)
-   [→ Databricks vs Notion](https://jobsbyculture.com/compare/databricks-vs-notion)
-   [→ Databricks vs OpenAI](https://jobsbyculture.com/compare/databricks-vs-openai)
-   [→ Databricks vs Perplexity AI](https://jobsbyculture.com/compare/databricks-vs-perplexity)
-   [→ Databricks vs Pinecone](https://jobsbyculture.com/compare/databricks-vs-pinecone)
-   [→ Databricks vs Plaid](https://jobsbyculture.com/compare/databricks-vs-plaid)
-   [→ Databricks vs Poolside AI](https://jobsbyculture.com/compare/databricks-vs-poolside)
-   [→ Databricks vs PostHog](https://jobsbyculture.com/compare/databricks-vs-posthog)
-   [→ Databricks vs Pylon](https://jobsbyculture.com/compare/databricks-vs-pylon)
-   [→ Databricks vs Ramp](https://jobsbyculture.com/compare/databricks-vs-ramp)
-   [→ Databricks vs Replit](https://jobsbyculture.com/compare/databricks-vs-replit)
-   [→ Databricks vs Runway](https://jobsbyculture.com/compare/databricks-vs-runway)
-   [→ Databricks vs Samsara](https://jobsbyculture.com/compare/databricks-vs-samsara)
-   [→ Databricks vs Scale AI](https://jobsbyculture.com/compare/databricks-vs-scale)
-   [→ Databricks vs Sierra AI](https://jobsbyculture.com/compare/databricks-vs-sierra)
-   [→ Databricks vs Snowflake](https://jobsbyculture.com/compare/databricks-vs-snowflake)
-   [→ Databricks vs Stripe](https://jobsbyculture.com/compare/databricks-vs-stripe)
-   [→ Databricks vs Suno](https://jobsbyculture.com/compare/databricks-vs-suno)
-   [→ Databricks vs Supabase](https://jobsbyculture.com/compare/databricks-vs-supabase)
-   [→ Databricks vs Synthesia](https://jobsbyculture.com/compare/databricks-vs-synthesia)
-   [→ Databricks vs Tailscale](https://jobsbyculture.com/compare/databricks-vs-tailscale)
-   [→ Databricks vs Together AI](https://jobsbyculture.com/compare/databricks-vs-together)
-   [→ Databricks vs Twilio](https://jobsbyculture.com/compare/databricks-vs-twilio)
-   [→ Databricks vs Vanta](https://jobsbyculture.com/compare/databricks-vs-vanta)
-   [→ Databricks vs Vast AI](https://jobsbyculture.com/compare/databricks-vs-vast)
-   [→ Databricks vs Vercel](https://jobsbyculture.com/compare/databricks-vs-vercel)
-   [→ Databricks vs Wayve](https://jobsbyculture.com/compare/databricks-vs-wayve)
-   [→ Databricks vs Weaviate](https://jobsbyculture.com/compare/databricks-vs-weaviate)
-   [→ Databricks vs Webflow](https://jobsbyculture.com/compare/databricks-vs-webflow)
-   [→ Databricks vs Writer](https://jobsbyculture.com/compare/databricks-vs-writer)
-   [→ Databricks vs Palantir](https://jobsbyculture.com/compare/palantir-vs-databricks)
-   [→ Databricks vs Scale AI](https://jobsbyculture.com/compare/scale-vs-databricks)
-   [→ Databricks vs Snowflake](https://jobsbyculture.com/compare/snowflake-vs-databricks)



🏢

### Claim _Databricks_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Datadog Culture & Jobs | JobsByCulture

# Datadog Culture & Jobs | JobsByCulture

> Datadog engineering culture: 4.0 Glassdoor, ~8,100 employees, cloud monitoring & observability platform. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/datadog
Markdown: https://jobsbyculture.com/companies/datadog.md
Last updated: 2026-07-14

---
![Datadog logo](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

# Datadog

Cloud Monitoring & Observability — Infrastructure, Applications, and Logs at Scale

The consensus on Datadog: Choose Datadog if you want challenging technical problems at scale, excellent stock upside, and a ship-fast engineering culture — but be ready for a demanding pace.

2010

Founded

New York, NY

Headquarters

~8,100

Employees

NASDAQ: DDOG

Public Company

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Culture Overview

## What it's _really_ like to work at Datadog

Founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, Datadog has grown from a scrappy monitoring startup into the dominant cloud observability platform. The culture is deeply engineering-driven with a strong bias toward shipping fast and iterating. Teams operate with high ownership and are expected to move quickly. The company rewards builders who thrive on solving hard technical problems at massive scale — think processing trillions of data points daily across millions of hosts.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Learning](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact) [Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Datadog Glassdoor Ratings & _Employee Reviews_

4.0

Overall Glassdoor Score

Based on 1,595 reviews

Culture & Values 4.0

Compensation & Benefits 4.4

Career Opportunities 3.8

Work-Life Balance 3.8

Overall Rating 4.0

77% Recommend to a Friend

Employee Review Themes

## Working at Datadog: _Pros & Cons_

### ✓ What employees love

-   ✓ Excellent compensation and equity — stock has been a genuine wealth builder for early employees
-   ✓ Strong engineering culture with smart coworkers and interesting technical challenges at scale
-   ✓ High ownership and autonomy — engineers drive product decisions and ship features end-to-end
-   ✓ Clear product-market fit and strong business fundamentals as a public company

### ✗ What could be better

-   ✗ Fast pace can lead to long hours and pressure to deliver, work-life balance varies by team
-   ✗ Rapid growth has led to organizational growing pains and bureaucracy creeping in
-   ✗ Some teams report unclear promotion paths and inconsistent management quality
-   ✗ High expectations can feel intense — the bar is set very high for performance reviews

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Go Python Rust React Kafka Kubernetes

#### Open Source

Major open source contributor: the Datadog Agent, dd-trace libraries, and integrations are all open source. Active contributor to the OpenTelemetry ecosystem.

#### Engineering Blog

Publishes deep technical content on distributed systems, observability at scale, and performance engineering. [Read the blog →](https://www.datadoghq.com/blog/engineering/?ref=jobsbyculture.com)

#### Team Structure

Product-oriented teams with full ownership from design to deployment. Engineers work closely with product and customers. Ship-fast culture with weekly releases.

Open Positions

## Join the _Datadog_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=datadog)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Engineer Salary Guide 2026: What Companies Actually Pay by Level](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ AI Jobs in Paris 2026: 170 Roles at Mistral, Datadog, Hugging Face & 10 More Companies](https://jobsbyculture.com/blog/ai-jobs-paris-2026)
-   [→ AI Layoffs 2026: 61,000+ Jobs Cut — Who's Actually Hiring](https://jobsbyculture.com/blog/ai-layoffs-2026-who-is-hiring)
-   [→ Best Tech Company Perks in 2026: Beyond Free Lunch (What Actually Matters)](https://jobsbyculture.com/blog/best-tech-office-perks-2026)

### Compare Datadog

-   [→ Datadog vs Abridge](https://jobsbyculture.com/compare/abridge-vs-datadog)
-   [→ Datadog vs Adyen](https://jobsbyculture.com/compare/adyen-vs-datadog)
-   [→ Datadog vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-datadog)
-   [→ Datadog vs Airtable](https://jobsbyculture.com/compare/airtable-vs-datadog)
-   [→ Datadog vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-datadog)
-   [→ Datadog vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-datadog)
-   [→ Datadog vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-datadog)
-   [→ Datadog vs Asana](https://jobsbyculture.com/compare/asana-vs-datadog)
-   [→ Datadog vs Baseten](https://jobsbyculture.com/compare/baseten-vs-datadog)
-   [→ Datadog vs Brex](https://jobsbyculture.com/compare/brex-vs-datadog)
-   [→ Datadog vs Celonis](https://jobsbyculture.com/compare/celonis-vs-datadog)
-   [→ Datadog vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-datadog)
-   [→ Datadog vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-datadog)
-   [→ Datadog vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-datadog)
-   [→ Datadog vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-datadog)
-   [→ Datadog vs Cohere](https://jobsbyculture.com/compare/cohere-vs-datadog)
-   [→ Datadog vs Contentful](https://jobsbyculture.com/compare/contentful-vs-datadog)
-   [→ Datadog vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-datadog)
-   [→ Datadog vs Cresta](https://jobsbyculture.com/compare/cresta-vs-datadog)
-   [→ Datadog vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-datadog)
-   [→ Datadog vs Cursor](https://jobsbyculture.com/compare/cursor-vs-datadog)
-   [→ Datadog vs Databricks](https://jobsbyculture.com/compare/databricks-vs-datadog)
-   [→ Datadog vs Decagon](https://jobsbyculture.com/compare/datadog-vs-decagon)
-   [→ Datadog vs DeepL](https://jobsbyculture.com/compare/datadog-vs-deepl)
-   [→ Datadog vs DeepMind](https://jobsbyculture.com/compare/datadog-vs-deepmind)
-   [→ Datadog vs Descript](https://jobsbyculture.com/compare/datadog-vs-descript)
-   [→ Datadog vs Doctolib](https://jobsbyculture.com/compare/datadog-vs-doctolib)
-   [→ Datadog vs Elastic](https://jobsbyculture.com/compare/datadog-vs-elastic)
-   [→ Datadog vs ElevenLabs](https://jobsbyculture.com/compare/datadog-vs-elevenlabs)
-   [→ Datadog vs Figma](https://jobsbyculture.com/compare/datadog-vs-figma)
-   [→ Datadog vs Fireworks AI](https://jobsbyculture.com/compare/datadog-vs-fireworksai)
-   [→ Datadog vs GitLab](https://jobsbyculture.com/compare/datadog-vs-gitlab)
-   [→ Datadog vs Glean](https://jobsbyculture.com/compare/datadog-vs-glean)
-   [→ Datadog vs Grafana Labs](https://jobsbyculture.com/compare/datadog-vs-grafanalabs)
-   [→ Datadog vs Granola](https://jobsbyculture.com/compare/datadog-vs-granola)
-   [→ Datadog vs Harvey AI](https://jobsbyculture.com/compare/datadog-vs-harvey)
-   [→ Datadog vs Hebbia](https://jobsbyculture.com/compare/datadog-vs-hebbia)
-   [→ Datadog vs Helsing](https://jobsbyculture.com/compare/datadog-vs-helsing)
-   [→ Datadog vs HubSpot](https://jobsbyculture.com/compare/datadog-vs-hubspot)
-   [→ Datadog vs Hugging Face](https://jobsbyculture.com/compare/datadog-vs-huggingface)
-   [→ Datadog vs incident.io](https://jobsbyculture.com/compare/datadog-vs-incidentio)
-   [→ Datadog vs Labelbox](https://jobsbyculture.com/compare/datadog-vs-labelbox)
-   [→ Datadog vs Lambda](https://jobsbyculture.com/compare/datadog-vs-lambda)
-   [→ Datadog vs LangChain](https://jobsbyculture.com/compare/datadog-vs-langchain)
-   [→ Datadog vs Linear](https://jobsbyculture.com/compare/datadog-vs-linear)
-   [→ Datadog vs Lovable](https://jobsbyculture.com/compare/datadog-vs-lovable)
-   [→ Datadog vs Mercor](https://jobsbyculture.com/compare/datadog-vs-mercor)
-   [→ Datadog vs Mercury](https://jobsbyculture.com/compare/datadog-vs-mercury)
-   [→ Datadog vs Mistral AI](https://jobsbyculture.com/compare/datadog-vs-mistral)
-   [→ Datadog vs Modal](https://jobsbyculture.com/compare/datadog-vs-modal)
-   [→ Datadog vs MongoDB](https://jobsbyculture.com/compare/datadog-vs-mongodb)
-   [→ Datadog vs n8n](https://jobsbyculture.com/compare/datadog-vs-n8n)
-   [→ Datadog vs Navan](https://jobsbyculture.com/compare/datadog-vs-navan)
-   [→ Datadog vs Notion](https://jobsbyculture.com/compare/datadog-vs-notion)
-   [→ Datadog vs OpenAI](https://jobsbyculture.com/compare/datadog-vs-openai)
-   [→ Datadog vs Perplexity AI](https://jobsbyculture.com/compare/datadog-vs-perplexity)
-   [→ Datadog vs Pinecone](https://jobsbyculture.com/compare/datadog-vs-pinecone)
-   [→ Datadog vs Plaid](https://jobsbyculture.com/compare/datadog-vs-plaid)
-   [→ Datadog vs Poolside AI](https://jobsbyculture.com/compare/datadog-vs-poolside)
-   [→ Datadog vs PostHog](https://jobsbyculture.com/compare/datadog-vs-posthog)
-   [→ Datadog vs Pylon](https://jobsbyculture.com/compare/datadog-vs-pylon)
-   [→ Datadog vs Ramp](https://jobsbyculture.com/compare/datadog-vs-ramp)
-   [→ Datadog vs Replit](https://jobsbyculture.com/compare/datadog-vs-replit)
-   [→ Datadog vs Runway](https://jobsbyculture.com/compare/datadog-vs-runway)
-   [→ Datadog vs Samsara](https://jobsbyculture.com/compare/datadog-vs-samsara)
-   [→ Datadog vs Scale AI](https://jobsbyculture.com/compare/datadog-vs-scale)
-   [→ Datadog vs Sierra AI](https://jobsbyculture.com/compare/datadog-vs-sierra)
-   [→ Datadog vs Snowflake](https://jobsbyculture.com/compare/datadog-vs-snowflake)
-   [→ Datadog vs splunk](https://jobsbyculture.com/compare/datadog-vs-splunk)
-   [→ Datadog vs Stripe](https://jobsbyculture.com/compare/datadog-vs-stripe)
-   [→ Datadog vs Suno](https://jobsbyculture.com/compare/datadog-vs-suno)
-   [→ Datadog vs Supabase](https://jobsbyculture.com/compare/datadog-vs-supabase)
-   [→ Datadog vs Synthesia](https://jobsbyculture.com/compare/datadog-vs-synthesia)
-   [→ Datadog vs Tailscale](https://jobsbyculture.com/compare/datadog-vs-tailscale)
-   [→ Datadog vs Together AI](https://jobsbyculture.com/compare/datadog-vs-together)
-   [→ Datadog vs Twilio](https://jobsbyculture.com/compare/datadog-vs-twilio)
-   [→ Datadog vs Vanta](https://jobsbyculture.com/compare/datadog-vs-vanta)
-   [→ Datadog vs Vast AI](https://jobsbyculture.com/compare/datadog-vs-vast)
-   [→ Datadog vs Vercel](https://jobsbyculture.com/compare/datadog-vs-vercel)
-   [→ Datadog vs Wayve](https://jobsbyculture.com/compare/datadog-vs-wayve)
-   [→ Datadog vs Weaviate](https://jobsbyculture.com/compare/datadog-vs-weaviate)
-   [→ Datadog vs Webflow](https://jobsbyculture.com/compare/datadog-vs-webflow)
-   [→ Datadog vs Writer](https://jobsbyculture.com/compare/datadog-vs-writer)



🏢

### Claim _Datadog_

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We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Decagon Glassdoor, Culture & Careers 2026 | JobsByCulture

# Decagon Glassdoor, Culture & Careers 2026 | JobsByCulture

> Decagon company profile: 3.9 Glassdoor, ~210 employees, Series D at $4.5B. Work-life balance, culture reviews, and open careers at the AI customer support platform.

Source: https://jobsbyculture.com/companies/decagon
Markdown: https://jobsbyculture.com/companies/decagon.md
Last updated: 2026-07-14

---
![Decagon logo](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

# Decagon

AI Customer Support Agents — Series D at $4.5B

The consensus on Decagon: Choose Decagon if you want to ship AI agents to Fortune 500 customers on a small, ambitious team — but expect high intensity and long hours.

2023

Founded

San Francisco

Headquarters

~210

Employees

$4.5B

Valuation (Jan 2026)

Free Work at Decagon? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Decagon

Founded in 2023 by Jesse Zhang and Ashwin Sreenivas, Decagon builds AI customer support agents used by Fortune 500 enterprises. The company raised a $250M Series D at a $4.5B valuation in January 2026, led by Coatue Management and Index Ventures, with participation from existing investors including a16z, Accel, Bain Capital Ventures, A\* and Elad Gil. The culture is intense and engineering-driven — small teams ship meaningful product to real enterprise customers week after week, with compensation heavily weighted toward equity.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship-Fast](https://jobsbyculture.com/values/ship-fast) [Product-Impact](https://jobsbyculture.com/values/product-impact) [Strong Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Decagon Glassdoor Ratings & _Employee Reviews_

3.9

Overall Glassdoor Score

Based on 257 reviews

Culture & Values 3.8

Work-Life Balance 3.7

Compensation & Benefits 3.2

Career Opportunities 3.7

Senior Management 3.7

Overall Rating 3.9

50% Recommend to a Friend

Employee Review Themes

## Working at Decagon: _Pros & Cons_

### ✓ What employees love

-   ✓ Strong engineering culture with technical founders deeply involved
-   ✓ Ship meaningful AI agents to Fortune 500 customers — real impact, real usage
-   ✓ Series D at $4.5B valuation — significant equity upside for early joiners
-   ✓ Fast pace and high-ownership work if you thrive in that environment

### ✗ What could be better

-   ✗ Intense workload — work-life balance rated 3.7/5 with mixed reviews
-   ✗ Compensation & benefits rated 3.2/5 — heavy equity weighting
-   ✗ High expectations and frequent deadlines — not a 40-hour-week environment
-   ✗ SF office-centric — limited remote flexibility for most roles

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

TypeScript Python React

#### Product

Conversational AI agents that resolve customer support issues end-to-end for Fortune 500 enterprises. Deployed across retail, fintech, and SaaS.

#### AI & ML

LLM-powered agents with deep integrations into customer support systems. Proprietary orchestration layer tuned for reliability in production. [Learn more →](https://decagon.ai/?ref=jobsbyculture.com)

#### Team Structure

~210 employees with a heavy engineering concentration. Small teams own customer deployments and product areas. Technical founders (ex-Stanford, ex-PayPal) remain hands-on.

Open Positions

## Join the _Decagon_ team

Explore all open roles at Decagon below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=decagon)

Explore More

## Related _content_

### Blog Posts

-   [→ Agentic AI Jobs Grew 280% in 2026 — The Roles, Salaries & Companies Hiring Now](https://jobsbyculture.com/blog/agentic-ai-hiring-boom-2026)
-   [→ AI Agents Are Replacing SaaS — What It Means for Tech Careers in 2026](https://jobsbyculture.com/blog/ai-agents-replacing-saas-2026)
-   [→ $300B in Q1 2026: The AI Funding Boom & What It Means for Job Seekers](https://jobsbyculture.com/blog/ai-startup-funding-hiring-2026)
-   [→ Fastest-Growing Tech Companies Hiring in 2026: Who’s Scaling the Fastest](https://jobsbyculture.com/blog/fastest-growing-tech-companies-2026)
-   [→ Founding Engineer Career Path 2026: Equity, Scope, Risk & Reality](https://jobsbyculture.com/blog/founding-engineer-career-path-2026)

### Compare Decagon

-   [→ Decagon vs Abridge](https://jobsbyculture.com/compare/abridge-vs-decagon)
-   [→ Decagon vs Adyen](https://jobsbyculture.com/compare/adyen-vs-decagon)
-   [→ Decagon vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-decagon)
-   [→ Decagon vs Airtable](https://jobsbyculture.com/compare/airtable-vs-decagon)
-   [→ Decagon vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-decagon)
-   [→ Decagon vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-decagon)
-   [→ Decagon vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-decagon)
-   [→ Decagon vs Asana](https://jobsbyculture.com/compare/asana-vs-decagon)
-   [→ Decagon vs Baseten](https://jobsbyculture.com/compare/baseten-vs-decagon)
-   [→ Decagon vs Brex](https://jobsbyculture.com/compare/brex-vs-decagon)
-   [→ Decagon vs Celonis](https://jobsbyculture.com/compare/celonis-vs-decagon)
-   [→ Decagon vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-decagon)
-   [→ Decagon vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-decagon)
-   [→ Decagon vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-decagon)
-   [→ Decagon vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-decagon)
-   [→ Decagon vs Cohere](https://jobsbyculture.com/compare/cohere-vs-decagon)
-   [→ Decagon vs Contentful](https://jobsbyculture.com/compare/contentful-vs-decagon)
-   [→ Decagon vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-decagon)
-   [→ Decagon vs Cresta](https://jobsbyculture.com/compare/cresta-vs-decagon)
-   [→ Decagon vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-decagon)
-   [→ Decagon vs Cursor](https://jobsbyculture.com/compare/cursor-vs-decagon)
-   [→ Decagon vs Databricks](https://jobsbyculture.com/compare/databricks-vs-decagon)
-   [→ Decagon vs Datadog](https://jobsbyculture.com/compare/datadog-vs-decagon)
-   [→ Decagon vs DeepL](https://jobsbyculture.com/compare/decagon-vs-deepl)
-   [→ Decagon vs DeepMind](https://jobsbyculture.com/compare/decagon-vs-deepmind)
-   [→ Decagon vs Descript](https://jobsbyculture.com/compare/decagon-vs-descript)
-   [→ Decagon vs Doctolib](https://jobsbyculture.com/compare/decagon-vs-doctolib)
-   [→ Decagon vs Elastic](https://jobsbyculture.com/compare/decagon-vs-elastic)
-   [→ Decagon vs ElevenLabs](https://jobsbyculture.com/compare/decagon-vs-elevenlabs)
-   [→ Decagon vs Figma](https://jobsbyculture.com/compare/decagon-vs-figma)
-   [→ Decagon vs Fireworks AI](https://jobsbyculture.com/compare/decagon-vs-fireworksai)
-   [→ Decagon vs GitLab](https://jobsbyculture.com/compare/decagon-vs-gitlab)
-   [→ Decagon vs Glean](https://jobsbyculture.com/compare/decagon-vs-glean)
-   [→ Decagon vs Grafana Labs](https://jobsbyculture.com/compare/decagon-vs-grafanalabs)
-   [→ Decagon vs Granola](https://jobsbyculture.com/compare/decagon-vs-granola)
-   [→ Decagon vs Harvey AI](https://jobsbyculture.com/compare/decagon-vs-harvey)
-   [→ Decagon vs Hebbia](https://jobsbyculture.com/compare/decagon-vs-hebbia)
-   [→ Decagon vs Helsing](https://jobsbyculture.com/compare/decagon-vs-helsing)
-   [→ Decagon vs HubSpot](https://jobsbyculture.com/compare/decagon-vs-hubspot)
-   [→ Decagon vs Hugging Face](https://jobsbyculture.com/compare/decagon-vs-huggingface)
-   [→ Decagon vs incident.io](https://jobsbyculture.com/compare/decagon-vs-incidentio)
-   [→ Decagon vs Labelbox](https://jobsbyculture.com/compare/decagon-vs-labelbox)
-   [→ Decagon vs Lambda](https://jobsbyculture.com/compare/decagon-vs-lambda)
-   [→ Decagon vs LangChain](https://jobsbyculture.com/compare/decagon-vs-langchain)
-   [→ Decagon vs Linear](https://jobsbyculture.com/compare/decagon-vs-linear)
-   [→ Decagon vs Lovable](https://jobsbyculture.com/compare/decagon-vs-lovable)
-   [→ Decagon vs Mercor](https://jobsbyculture.com/compare/decagon-vs-mercor)
-   [→ Decagon vs Mercury](https://jobsbyculture.com/compare/decagon-vs-mercury)
-   [→ Decagon vs Mistral AI](https://jobsbyculture.com/compare/decagon-vs-mistral)
-   [→ Decagon vs Modal](https://jobsbyculture.com/compare/decagon-vs-modal)
-   [→ Decagon vs MongoDB](https://jobsbyculture.com/compare/decagon-vs-mongodb)
-   [→ Decagon vs n8n](https://jobsbyculture.com/compare/decagon-vs-n8n)
-   [→ Decagon vs Navan](https://jobsbyculture.com/compare/decagon-vs-navan)
-   [→ Decagon vs Notion](https://jobsbyculture.com/compare/decagon-vs-notion)
-   [→ Decagon vs OpenAI](https://jobsbyculture.com/compare/decagon-vs-openai)
-   [→ Decagon vs Perplexity AI](https://jobsbyculture.com/compare/decagon-vs-perplexity)
-   [→ Decagon vs Pinecone](https://jobsbyculture.com/compare/decagon-vs-pinecone)
-   [→ Decagon vs Plaid](https://jobsbyculture.com/compare/decagon-vs-plaid)
-   [→ Decagon vs Poolside AI](https://jobsbyculture.com/compare/decagon-vs-poolside)
-   [→ Decagon vs PostHog](https://jobsbyculture.com/compare/decagon-vs-posthog)
-   [→ Decagon vs Pylon](https://jobsbyculture.com/compare/decagon-vs-pylon)
-   [→ Decagon vs Ramp](https://jobsbyculture.com/compare/decagon-vs-ramp)
-   [→ Decagon vs Replit](https://jobsbyculture.com/compare/decagon-vs-replit)
-   [→ Decagon vs Runway](https://jobsbyculture.com/compare/decagon-vs-runway)
-   [→ Decagon vs Samsara](https://jobsbyculture.com/compare/decagon-vs-samsara)
-   [→ Decagon vs Scale AI](https://jobsbyculture.com/compare/decagon-vs-scale)
-   [→ Decagon vs Sierra AI](https://jobsbyculture.com/compare/decagon-vs-sierra)
-   [→ Decagon vs Snowflake](https://jobsbyculture.com/compare/decagon-vs-snowflake)
-   [→ Decagon vs Stripe](https://jobsbyculture.com/compare/decagon-vs-stripe)
-   [→ Decagon vs Suno](https://jobsbyculture.com/compare/decagon-vs-suno)
-   [→ Decagon vs Supabase](https://jobsbyculture.com/compare/decagon-vs-supabase)
-   [→ Decagon vs Synthesia](https://jobsbyculture.com/compare/decagon-vs-synthesia)
-   [→ Decagon vs Tailscale](https://jobsbyculture.com/compare/decagon-vs-tailscale)
-   [→ Decagon vs Together AI](https://jobsbyculture.com/compare/decagon-vs-together)
-   [→ Decagon vs Twilio](https://jobsbyculture.com/compare/decagon-vs-twilio)
-   [→ Decagon vs Vanta](https://jobsbyculture.com/compare/decagon-vs-vanta)
-   [→ Decagon vs Vast AI](https://jobsbyculture.com/compare/decagon-vs-vast)
-   [→ Decagon vs Vercel](https://jobsbyculture.com/compare/decagon-vs-vercel)
-   [→ Decagon vs Wayve](https://jobsbyculture.com/compare/decagon-vs-wayve)
-   [→ Decagon vs Weaviate](https://jobsbyculture.com/compare/decagon-vs-weaviate)
-   [→ Decagon vs Webflow](https://jobsbyculture.com/compare/decagon-vs-webflow)
-   [→ Decagon vs Writer](https://jobsbyculture.com/compare/decagon-vs-writer)



🏢

### Claim _Decagon_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Deepgram Glassdoor, Culture & Careers 2026 | JobsByCulture

# Deepgram Glassdoor, Culture & Careers 2026 | JobsByCulture

> Deepgram company profile: 4.6 Glassdoor, ~300 employees, $1.3B valuation. Work-life balance, culture reviews, and open careers at the voice AI platform.

Source: https://jobsbyculture.com/companies/deepgram
Markdown: https://jobsbyculture.com/companies/deepgram.md
Last updated: 2026-07-14

---
![Deepgram logo](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

# Deepgram

Voice AI Platform — Powering the Voice AI Economy

The consensus on Deepgram: Choose Deepgram if you want to work on hard speech and audio AI problems with kind, talented people — but expect intensity when the CEO sets the pace.

2015

Founded

San Francisco

Headquarters

~300

Employees

$1.3B

Valuation (Jan 2026)

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Culture Overview

## What it's _really_ like to work at Deepgram

Founded in 2015 by Scott Stephenson, Adam Sypniewski, Magesh Swaminathan, and Noah Shutty, Deepgram builds the real-time API platform underpinning the voice AI economy. Over 1,300 organizations rely on Deepgram for speech-to-text, text-to-speech, and voice agent capabilities. The culture is deeply technical — researchers and engineers tackle challenging problems across audio and text domains in a collaborative, low-ego environment. After raising $130M Series C at a $1.3B valuation in January 2026, the company is scaling fast while trying to preserve the small-team feel that employees consistently praise.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Learning & Growth](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Deepgram Glassdoor Ratings & _Employee Reviews_

4.6

Overall Glassdoor Score

Based on 46 reviews

Culture & Values 4.3

Work-Life Balance 4.3

Career Opportunities 4.5

Overall Rating 4.6

90% Recommend to a Friend

90% CEO Approval

Employee Review Themes

## Working at Deepgram: _Pros & Cons_

### ✓ What employees love

-   ✓ Collaborative, humble team — talented people who genuinely support each other
-   ✓ Challenging research across audio and text AI domains — real learning opportunities
-   ✓ High trust — few guardrails, empowered to do great work autonomously
-   ✓ Already profitable with strong client base — freedom to scale without desperation

### ✗ What could be better

-   ✗ Intense workload — work hard and balance can be hard to find
-   ✗ CEO-driven decisions can override team discussions and consensus
-   ✗ Public Slack call-outs framed as "just asking questions" can feel harsh
-   ✗ Post-layoff concerns — longer hours and PTO use discouraged

Engineering Culture

## How the _engineering_ team works

#### Core Product

Real-time speech-to-text, text-to-speech, and voice agent APIs. Powers 1,300+ organizations including enterprises building voice AI applications at scale.

#### AI & Research

Proprietary speech recognition models trained on massive audio datasets. Research spans audio processing, NLP, and low-latency inference optimization. [Try the API →](https://deepgram.com/?ref=jobsbyculture.com)

#### Tech Stack

Python Rust CUDA PyTorch

#### Team Structure

~260 people with engineering and research as the core. Cross-functional teams working on speech, language, and infrastructure. Researchers tackle problems across audio and text domains with high autonomy.

Open Positions

## Join the _Deepgram_ team

Explore open roles at Deepgram below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=deepgram)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Voice AI Engineering Guide 2026: Real-Time Speech, Latency Targets & Architecture](https://jobsbyculture.com/blog/voice-ai-engineering-guide-2026)
-   [→ Working at Deepgram in 2026: Voice AI, $1.3B Valuation & Culture](https://jobsbyculture.com/blog/working-at-deepgram-2026)



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### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: DeepL Culture & Jobs | JobsByCulture

# DeepL Culture & Jobs | JobsByCulture

> DeepL engineering culture: 2.9 Glassdoor, 3.6 WLB, AI translation unicorn with 100M+ users. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/deepl
Markdown: https://jobsbyculture.com/companies/deepl.md
Last updated: 2026-07-14

---
![DeepL logo](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

# DeepL

AI Translation Unicorn — 100M+ Users, Profitable, Cologne-Based

The consensus on DeepL: Great product and truly international team with excellent WLB, but leadership transparency issues and high employee churn suggest structural growing pains.

2017

Founded

Cologne

Headquarters

~1,300

Employees

Profitable

Financials

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Culture Overview

## What it's _really_ like to work at DeepL

DeepL is the Cologne-based AI translation company that has grown to over 100 million users while building toward profitability. The team is internationally distributed across many nationalities and the work-life balance has historically been a strength. However, Glassdoor reviews consistently flag leadership transparency issues, and in May 2026 DeepL announced a ~25% workforce reduction (~250 roles) as part of an AI-driven restructuring — signs that rapid growth has outpaced internal culture development.

[Work-Life Balance](https://jobsbyculture.com/values/wlb) [Flex Hours](https://jobsbyculture.com/values/flex-hours) [Diverse](https://jobsbyculture.com/values/diverse) [Product Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## DeepL Glassdoor Ratings & _Employee Reviews_

2.9

Overall Glassdoor Score

Based on 91 reviews

Culture & Values 3.0

Compensation & Benefits 3.4

Career Opportunities 2.8

Work-Life Balance 3.6

Overall Rating 2.9

44% Recommend to a Friend

Employee Review Themes

## Working at DeepL: _Pros & Cons_

### ✓ What employees love

-   ✓Great product that people genuinely use and love worldwide
-   ✓Truly international team with 90+ nationalities represented
-   ✓Excellent work-life balance — flexible hours and no crunch culture
-   ✓Profitable company with stable financials and no VC pressure

### ✗ What could be better

-   ✗Intransparent leadership — decisions made without employee input
-   ✗High employee churn suggests deeper organizational issues
-   ✗Limited career progression paths and unclear promotion criteria

Open Positions

## Join the _DeepL_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=deepl)

Explore More

## Related _content_

### Blog Posts

-   [→ ElevenLabs in 2026: ~880 Employees, Remote-First, Salary & Culture](https://jobsbyculture.com/blog/working-at-elevenlabs-2026)

### Compare DeepL

-   [→ DeepL vs Abridge](https://jobsbyculture.com/compare/abridge-vs-deepl)
-   [→ DeepL vs Adyen](https://jobsbyculture.com/compare/adyen-vs-deepl)
-   [→ DeepL vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-deepl)
-   [→ DeepL vs Airtable](https://jobsbyculture.com/compare/airtable-vs-deepl)
-   [→ DeepL vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-deepl)
-   [→ DeepL vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-deepl)
-   [→ DeepL vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-deepl)
-   [→ DeepL vs Asana](https://jobsbyculture.com/compare/asana-vs-deepl)
-   [→ DeepL vs Baseten](https://jobsbyculture.com/compare/baseten-vs-deepl)
-   [→ DeepL vs Brex](https://jobsbyculture.com/compare/brex-vs-deepl)
-   [→ DeepL vs Celonis](https://jobsbyculture.com/compare/celonis-vs-deepl)
-   [→ DeepL vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-deepl)
-   [→ DeepL vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-deepl)
-   [→ DeepL vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-deepl)
-   [→ DeepL vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-deepl)
-   [→ DeepL vs Cohere](https://jobsbyculture.com/compare/cohere-vs-deepl)
-   [→ DeepL vs Contentful](https://jobsbyculture.com/compare/contentful-vs-deepl)
-   [→ DeepL vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-deepl)
-   [→ DeepL vs Cresta](https://jobsbyculture.com/compare/cresta-vs-deepl)
-   [→ DeepL vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-deepl)
-   [→ DeepL vs Cursor](https://jobsbyculture.com/compare/cursor-vs-deepl)
-   [→ DeepL vs Databricks](https://jobsbyculture.com/compare/databricks-vs-deepl)
-   [→ DeepL vs Datadog](https://jobsbyculture.com/compare/datadog-vs-deepl)
-   [→ DeepL vs Decagon](https://jobsbyculture.com/compare/decagon-vs-deepl)
-   [→ DeepL vs DeepMind](https://jobsbyculture.com/compare/deepl-vs-deepmind)
-   [→ DeepL vs Descript](https://jobsbyculture.com/compare/deepl-vs-descript)
-   [→ DeepL vs Doctolib](https://jobsbyculture.com/compare/deepl-vs-doctolib)
-   [→ DeepL vs Elastic](https://jobsbyculture.com/compare/deepl-vs-elastic)
-   [→ DeepL vs ElevenLabs](https://jobsbyculture.com/compare/deepl-vs-elevenlabs)
-   [→ DeepL vs Figma](https://jobsbyculture.com/compare/deepl-vs-figma)
-   [→ DeepL vs Fireworks AI](https://jobsbyculture.com/compare/deepl-vs-fireworksai)
-   [→ DeepL vs GitLab](https://jobsbyculture.com/compare/deepl-vs-gitlab)
-   [→ DeepL vs Glean](https://jobsbyculture.com/compare/deepl-vs-glean)
-   [→ DeepL vs Grafana Labs](https://jobsbyculture.com/compare/deepl-vs-grafanalabs)
-   [→ DeepL vs Granola](https://jobsbyculture.com/compare/deepl-vs-granola)
-   [→ DeepL vs Harvey AI](https://jobsbyculture.com/compare/deepl-vs-harvey)
-   [→ DeepL vs Hebbia](https://jobsbyculture.com/compare/deepl-vs-hebbia)
-   [→ DeepL vs Helsing](https://jobsbyculture.com/compare/deepl-vs-helsing)
-   [→ DeepL vs HubSpot](https://jobsbyculture.com/compare/deepl-vs-hubspot)
-   [→ DeepL vs Hugging Face](https://jobsbyculture.com/compare/deepl-vs-huggingface)
-   [→ DeepL vs incident.io](https://jobsbyculture.com/compare/deepl-vs-incidentio)
-   [→ DeepL vs Labelbox](https://jobsbyculture.com/compare/deepl-vs-labelbox)
-   [→ DeepL vs Lambda](https://jobsbyculture.com/compare/deepl-vs-lambda)
-   [→ DeepL vs LangChain](https://jobsbyculture.com/compare/deepl-vs-langchain)
-   [→ DeepL vs Linear](https://jobsbyculture.com/compare/deepl-vs-linear)
-   [→ DeepL vs Lovable](https://jobsbyculture.com/compare/deepl-vs-lovable)
-   [→ DeepL vs Mercor](https://jobsbyculture.com/compare/deepl-vs-mercor)
-   [→ DeepL vs Mercury](https://jobsbyculture.com/compare/deepl-vs-mercury)
-   [→ DeepL vs Mistral AI](https://jobsbyculture.com/compare/deepl-vs-mistral)
-   [→ DeepL vs Modal](https://jobsbyculture.com/compare/deepl-vs-modal)
-   [→ DeepL vs MongoDB](https://jobsbyculture.com/compare/deepl-vs-mongodb)
-   [→ DeepL vs n8n](https://jobsbyculture.com/compare/deepl-vs-n8n)
-   [→ DeepL vs Navan](https://jobsbyculture.com/compare/deepl-vs-navan)
-   [→ DeepL vs Notion](https://jobsbyculture.com/compare/deepl-vs-notion)
-   [→ DeepL vs OpenAI](https://jobsbyculture.com/compare/deepl-vs-openai)
-   [→ DeepL vs Perplexity AI](https://jobsbyculture.com/compare/deepl-vs-perplexity)
-   [→ DeepL vs Pinecone](https://jobsbyculture.com/compare/deepl-vs-pinecone)
-   [→ DeepL vs Plaid](https://jobsbyculture.com/compare/deepl-vs-plaid)
-   [→ DeepL vs Poolside AI](https://jobsbyculture.com/compare/deepl-vs-poolside)
-   [→ DeepL vs PostHog](https://jobsbyculture.com/compare/deepl-vs-posthog)
-   [→ DeepL vs Pylon](https://jobsbyculture.com/compare/deepl-vs-pylon)
-   [→ DeepL vs Ramp](https://jobsbyculture.com/compare/deepl-vs-ramp)
-   [→ DeepL vs Replit](https://jobsbyculture.com/compare/deepl-vs-replit)
-   [→ DeepL vs Runway](https://jobsbyculture.com/compare/deepl-vs-runway)
-   [→ DeepL vs Samsara](https://jobsbyculture.com/compare/deepl-vs-samsara)
-   [→ DeepL vs Scale AI](https://jobsbyculture.com/compare/deepl-vs-scale)
-   [→ DeepL vs Sierra AI](https://jobsbyculture.com/compare/deepl-vs-sierra)
-   [→ DeepL vs Snowflake](https://jobsbyculture.com/compare/deepl-vs-snowflake)
-   [→ DeepL vs Stripe](https://jobsbyculture.com/compare/deepl-vs-stripe)
-   [→ DeepL vs Suno](https://jobsbyculture.com/compare/deepl-vs-suno)
-   [→ DeepL vs Supabase](https://jobsbyculture.com/compare/deepl-vs-supabase)
-   [→ DeepL vs Synthesia](https://jobsbyculture.com/compare/deepl-vs-synthesia)
-   [→ DeepL vs Tailscale](https://jobsbyculture.com/compare/deepl-vs-tailscale)
-   [→ DeepL vs Together AI](https://jobsbyculture.com/compare/deepl-vs-together)
-   [→ DeepL vs Twilio](https://jobsbyculture.com/compare/deepl-vs-twilio)
-   [→ DeepL vs Vanta](https://jobsbyculture.com/compare/deepl-vs-vanta)
-   [→ DeepL vs Vast AI](https://jobsbyculture.com/compare/deepl-vs-vast)
-   [→ DeepL vs Vercel](https://jobsbyculture.com/compare/deepl-vs-vercel)
-   [→ DeepL vs Wayve](https://jobsbyculture.com/compare/deepl-vs-wayve)
-   [→ DeepL vs Weaviate](https://jobsbyculture.com/compare/deepl-vs-weaviate)
-   [→ DeepL vs Webflow](https://jobsbyculture.com/compare/deepl-vs-webflow)
-   [→ DeepL vs Writer](https://jobsbyculture.com/compare/deepl-vs-writer)



🏢

### Claim _DeepL_

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We'll respond within 24 hours. No spam, ever.

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### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

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## Document: Google DeepMind Culture & Jobs | JobsByCulture

# Google DeepMind Culture & Jobs | JobsByCulture

> Google DeepMind engineering culture: 4.2 Glassdoor, world-class AI research, 87% recommend. See 10 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/deepmind
Markdown: https://jobsbyculture.com/companies/deepmind.md
Last updated: 2026-07-14

---
![Google DeepMind logo](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

# Google DeepMind

World-Leading AI Research Lab — Solving Intelligence to Advance Science

The consensus on Google DeepMind: Choose DeepMind if you want world-class AI research with Google-level benefits and genuine work-life balance — but expect bureaucracy and less individual ownership.

2010

Founded

London, UK

Headquarters

Alphabet

Subsidiary

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Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Google DeepMind

Founded in 2010 by Demis Hassabis, Shane Legg, and Mustafa Suleyman, Google DeepMind is the AI research lab behind AlphaGo, AlphaFold, and Gemini. Merged with Google Brain in 2023, the lab combines deep research culture with Google-scale resources. Expect brilliant colleagues, genuine work-life balance, and a focus on fundamental research — but with more bureaucracy than a startup.

[Deep Work](https://jobsbyculture.com/values/deep-work) [Learning](https://jobsbyculture.com/values/learning) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Diverse](https://jobsbyculture.com/values/diverse) [Ethical AI](https://jobsbyculture.com/values/ethical-ai) [Strong Equity](https://jobsbyculture.com/values/equity) [Flexible Hours](https://jobsbyculture.com/values/flex-hours)

Glassdoor Ratings

## Google DeepMind Glassdoor Ratings & _Employee Reviews_

4.2

Overall Glassdoor Score

Based on 242 reviews

Culture & Values 4.3

Compensation & Benefits 4.5

Senior Management 4.0

Career Opportunities 3.8

Work-Life Balance 4.0

Overall Rating 4.2

87% Recommend to a Friend

88% CEO Approval (Demis Hassabis)

Employee Review Themes

## Working at Google DeepMind: _Pros & Cons_

### ✓ What employees love

-   ✓ World-class AI research environment with brilliant, collaborative colleagues
-   ✓ Google-level compensation and benefits with genuine work-life balance
-   ✓ Fundamental research on AlphaFold, Gemini — solving real scientific problems
-   ✓ Strong publication culture — researchers actively publish in top venues
-   ✓ London-based with global offices — genuinely international team

### ✗ What could be better

-   ✗ Google-scale bureaucracy — slow decision-making compared to startups
-   ✗ Large org means less individual ownership and impact on direction
-   ✗ Career progression tied to Google ladders — can feel rigid
-   ✗ Post-merger integration with Brain created some cultural friction

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python JAX TensorFlow C++ TPUs

#### Open Source & Research

Published AlphaFold, AlphaCode, and Gemma models. Actively contributes to JAX ecosystem and publishes research in Nature and top ML venues.

#### Engineering Blog

Maintains an active research blog with breakthroughs in protein folding, game-playing AI, and large language models. [Read the research →](https://deepmind.google/research/?ref=jobsbyculture.com)

#### Team Structure

Research-lab structure with small, focused teams. Google-style leveling (L3-L8+). Strong mentorship culture with weekly paper reading groups.

Open Positions

## Join the _Google DeepMind_ team

... open positions.

🌐 Remote

✕ Clear

[See all 10 Google DeepMind jobs →](https://jobsbyculture.com/jobs?company=deepmind)

Explore More

## Related _content_

### Blog Posts

-   [→ Agentic AI Jobs Grew 280% in 2026 — The Roles, Salaries & Companies Hiring Now](https://jobsbyculture.com/blog/agentic-ai-hiring-boom-2026)
-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Engineer Salary Guide 2026: What Companies Actually Pay by Level](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ The AI Safety Hiring Boom: Why Alignment Researchers Are the Hottest Hire in 2026](https://jobsbyculture.com/blog/ai-safety-hiring-boom-2026)

### Compare DeepMind

-   [→ DeepMind vs Abridge](https://jobsbyculture.com/compare/abridge-vs-deepmind)
-   [→ DeepMind vs Adyen](https://jobsbyculture.com/compare/adyen-vs-deepmind)
-   [→ DeepMind vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-deepmind)
-   [→ DeepMind vs Airtable](https://jobsbyculture.com/compare/airtable-vs-deepmind)
-   [→ DeepMind vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-deepmind)
-   [→ DeepMind vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-deepmind)
-   [→ DeepMind vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-deepmind)
-   [→ DeepMind vs Asana](https://jobsbyculture.com/compare/asana-vs-deepmind)
-   [→ DeepMind vs Baseten](https://jobsbyculture.com/compare/baseten-vs-deepmind)
-   [→ DeepMind vs Brex](https://jobsbyculture.com/compare/brex-vs-deepmind)
-   [→ DeepMind vs Celonis](https://jobsbyculture.com/compare/celonis-vs-deepmind)
-   [→ DeepMind vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-deepmind)
-   [→ DeepMind vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-deepmind)
-   [→ DeepMind vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-deepmind)
-   [→ DeepMind vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-deepmind)
-   [→ DeepMind vs Cohere](https://jobsbyculture.com/compare/cohere-vs-deepmind)
-   [→ DeepMind vs Contentful](https://jobsbyculture.com/compare/contentful-vs-deepmind)
-   [→ DeepMind vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-deepmind)
-   [→ DeepMind vs Cresta](https://jobsbyculture.com/compare/cresta-vs-deepmind)
-   [→ DeepMind vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-deepmind)
-   [→ DeepMind vs Cursor](https://jobsbyculture.com/compare/cursor-vs-deepmind)
-   [→ DeepMind vs Databricks](https://jobsbyculture.com/compare/databricks-vs-deepmind)
-   [→ DeepMind vs Datadog](https://jobsbyculture.com/compare/datadog-vs-deepmind)
-   [→ DeepMind vs Decagon](https://jobsbyculture.com/compare/decagon-vs-deepmind)
-   [→ DeepMind vs DeepL](https://jobsbyculture.com/compare/deepl-vs-deepmind)
-   [→ DeepMind vs Descript](https://jobsbyculture.com/compare/deepmind-vs-descript)
-   [→ DeepMind vs Doctolib](https://jobsbyculture.com/compare/deepmind-vs-doctolib)
-   [→ DeepMind vs Elastic](https://jobsbyculture.com/compare/deepmind-vs-elastic)
-   [→ DeepMind vs ElevenLabs](https://jobsbyculture.com/compare/deepmind-vs-elevenlabs)
-   [→ DeepMind vs Figma](https://jobsbyculture.com/compare/deepmind-vs-figma)
-   [→ DeepMind vs Fireworks AI](https://jobsbyculture.com/compare/deepmind-vs-fireworksai)
-   [→ DeepMind vs GitLab](https://jobsbyculture.com/compare/deepmind-vs-gitlab)
-   [→ DeepMind vs Glean](https://jobsbyculture.com/compare/deepmind-vs-glean)
-   [→ DeepMind vs Grafana Labs](https://jobsbyculture.com/compare/deepmind-vs-grafanalabs)
-   [→ DeepMind vs Granola](https://jobsbyculture.com/compare/deepmind-vs-granola)
-   [→ DeepMind vs Harvey AI](https://jobsbyculture.com/compare/deepmind-vs-harvey)
-   [→ DeepMind vs Hebbia](https://jobsbyculture.com/compare/deepmind-vs-hebbia)
-   [→ DeepMind vs Helsing](https://jobsbyculture.com/compare/deepmind-vs-helsing)
-   [→ DeepMind vs HubSpot](https://jobsbyculture.com/compare/deepmind-vs-hubspot)
-   [→ DeepMind vs Hugging Face](https://jobsbyculture.com/compare/deepmind-vs-huggingface)
-   [→ DeepMind vs incident.io](https://jobsbyculture.com/compare/deepmind-vs-incidentio)
-   [→ DeepMind vs Labelbox](https://jobsbyculture.com/compare/deepmind-vs-labelbox)
-   [→ DeepMind vs Lambda](https://jobsbyculture.com/compare/deepmind-vs-lambda)
-   [→ DeepMind vs LangChain](https://jobsbyculture.com/compare/deepmind-vs-langchain)
-   [→ DeepMind vs Linear](https://jobsbyculture.com/compare/deepmind-vs-linear)
-   [→ DeepMind vs Lovable](https://jobsbyculture.com/compare/deepmind-vs-lovable)
-   [→ DeepMind vs Mercor](https://jobsbyculture.com/compare/deepmind-vs-mercor)
-   [→ DeepMind vs Mercury](https://jobsbyculture.com/compare/deepmind-vs-mercury)
-   [→ DeepMind vs Mistral AI](https://jobsbyculture.com/compare/deepmind-vs-mistral)
-   [→ DeepMind vs Modal](https://jobsbyculture.com/compare/deepmind-vs-modal)
-   [→ DeepMind vs MongoDB](https://jobsbyculture.com/compare/deepmind-vs-mongodb)
-   [→ DeepMind vs n8n](https://jobsbyculture.com/compare/deepmind-vs-n8n)
-   [→ DeepMind vs Navan](https://jobsbyculture.com/compare/deepmind-vs-navan)
-   [→ DeepMind vs Notion](https://jobsbyculture.com/compare/deepmind-vs-notion)
-   [→ DeepMind vs OpenAI](https://jobsbyculture.com/compare/deepmind-vs-openai)
-   [→ DeepMind vs Perplexity AI](https://jobsbyculture.com/compare/deepmind-vs-perplexity)
-   [→ DeepMind vs Pinecone](https://jobsbyculture.com/compare/deepmind-vs-pinecone)
-   [→ DeepMind vs Plaid](https://jobsbyculture.com/compare/deepmind-vs-plaid)
-   [→ DeepMind vs Poolside AI](https://jobsbyculture.com/compare/deepmind-vs-poolside)
-   [→ DeepMind vs PostHog](https://jobsbyculture.com/compare/deepmind-vs-posthog)
-   [→ DeepMind vs Pylon](https://jobsbyculture.com/compare/deepmind-vs-pylon)
-   [→ DeepMind vs Ramp](https://jobsbyculture.com/compare/deepmind-vs-ramp)
-   [→ DeepMind vs Replit](https://jobsbyculture.com/compare/deepmind-vs-replit)
-   [→ DeepMind vs Runway](https://jobsbyculture.com/compare/deepmind-vs-runway)
-   [→ DeepMind vs Samsara](https://jobsbyculture.com/compare/deepmind-vs-samsara)
-   [→ DeepMind vs Scale AI](https://jobsbyculture.com/compare/deepmind-vs-scale)
-   [→ DeepMind vs Sierra AI](https://jobsbyculture.com/compare/deepmind-vs-sierra)
-   [→ DeepMind vs Snowflake](https://jobsbyculture.com/compare/deepmind-vs-snowflake)
-   [→ DeepMind vs Stripe](https://jobsbyculture.com/compare/deepmind-vs-stripe)
-   [→ DeepMind vs Suno](https://jobsbyculture.com/compare/deepmind-vs-suno)
-   [→ DeepMind vs Supabase](https://jobsbyculture.com/compare/deepmind-vs-supabase)
-   [→ DeepMind vs Synthesia](https://jobsbyculture.com/compare/deepmind-vs-synthesia)
-   [→ DeepMind vs Tailscale](https://jobsbyculture.com/compare/deepmind-vs-tailscale)
-   [→ DeepMind vs Together AI](https://jobsbyculture.com/compare/deepmind-vs-together)
-   [→ DeepMind vs Twilio](https://jobsbyculture.com/compare/deepmind-vs-twilio)
-   [→ DeepMind vs Vanta](https://jobsbyculture.com/compare/deepmind-vs-vanta)
-   [→ DeepMind vs Vast AI](https://jobsbyculture.com/compare/deepmind-vs-vast)
-   [→ DeepMind vs Vercel](https://jobsbyculture.com/compare/deepmind-vs-vercel)
-   [→ DeepMind vs Wayve](https://jobsbyculture.com/compare/deepmind-vs-wayve)
-   [→ DeepMind vs Weaviate](https://jobsbyculture.com/compare/deepmind-vs-weaviate)
-   [→ DeepMind vs Webflow](https://jobsbyculture.com/compare/deepmind-vs-webflow)
-   [→ DeepMind vs Writer](https://jobsbyculture.com/compare/deepmind-vs-writer)



🏢

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## Document: Descript Culture & Jobs | JobsByCulture

# Descript Culture & Jobs | JobsByCulture

> Descript culture profile: 3.9 Glassdoor, AI-powered video & audio editing. See open roles, culture tags, and real employee reviews.

Source: https://jobsbyculture.com/companies/descript
Markdown: https://jobsbyculture.com/companies/descript.md
Last updated: 2026-07-14

---
![Descript logo](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

# Descript

AI-powered video & audio editing · San Francisco

3.9 Glassdoor

3.8 Work-Life Balance

🇺🇸 San Francisco

Small (~200)

**Work at Descript?** Claim this profile to update your culture info, add perks, and manage how your company appears on JobsByCulture.

> You get to work on genuinely hard AI problems with a team that cares deeply about craft and user experience.

— Employee review

[⚙️ Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [🚀 Ship Fast](https://jobsbyculture.com/values/ship-fast) [📐 Flat Structure](https://jobsbyculture.com/values/flat) [🎭 Many Hats](https://jobsbyculture.com/values/many-hats) [🌍 Remote-Friendly](https://jobsbyculture.com/values/remote)

## Company Details

Size Small (~200)

Work-Life Balance 3.8/5

Glassdoor Rating 3.9/5

Location 🇺🇸 San Francisco

## Culture Snapshot

### Strengths

-   Cutting-edge AI/ML work on multimodal media
-   Strong product-minded engineering culture

### Watch-outs

-   Fast pace can lead to shifting priorities
-   Startup growing pains as team scales

## What Employees Say

Based on Glassdoor reviews

### Pros

-   Talented and collaborative team
-   Remote-friendly with great async culture

### Cons

-   Direction can change quickly
-   Some roles stretch thin across projects

[🚀 View Open Roles at Descript](https://www.descript.com/careers?ref=jobsbyculture.com)

---

## Document: DevRev Glassdoor, Culture & Careers 2026 | JobsByCulture

# DevRev Glassdoor, Culture & Careers 2026 | JobsByCulture

> DevRev company profile: 4.1 Glassdoor, ~800 employees, $1.15B valuation. AI-native CRM by Nutanix co-founder — culture, careers, and open roles.

Source: https://jobsbyculture.com/companies/devrev
Markdown: https://jobsbyculture.com/companies/devrev.md
Last updated: 2026-07-14

---
![DevRev logo](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

# DevRev

AI-Native CRM — Unifying Product, Support & Engineering

The consensus on DevRev: Choose DevRev if you want to build an AI-native enterprise platform under a proven SaaS pioneer — but be ready for an intense, fast-moving ride.

2020

Founded

Palo Alto, CA

Headquarters

~800

Employees

$1.15B

Valuation (Unicorn)

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Culture Overview

## What it's _really_ like to work at DevRev

Founded in 2020 by Dheeraj Pandey (Nutanix co-founder, former CEO who took it public) and Manoj Agarwal (ex-SVP Engineering at Nutanix), DevRev is building an AI-native CRM that converges customer support, product management, and engineering into a single platform. With ~$100M in revenue and a $1.15B valuation (Series A, Aug 2024), DevRev combines enterprise credibility with startup intensity. The culture is engineering-led and execution-obsessed — Dheeraj's second act after co-founding and taking Nutanix public (peaking above $15B market cap), now applied to rethinking how software teams interact with their customers.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship-Fast](https://jobsbyculture.com/values/ship-fast) [Learning Culture](https://jobsbyculture.com/values/learning) [Product-Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## DevRev Glassdoor Ratings & _Employee Reviews_

4.1

Overall Glassdoor Score

Based on 180 reviews

Culture & Values 3.7

Work-Life Balance 3.4

Compensation & Benefits 3.9

Career Opportunities 3.9

Overall Rating 4.1

76% Recommend to a Friend

75% Positive Business Outlook

Employee Review Themes

## Working at DevRev: _Pros & Cons_

### ✓ What employees love

-   ✓ Unicorn founded by a proven SaaS pioneer — Dheeraj Pandey co-founded Nutanix and took it public (peaking at $15B+ market cap)
-   ✓ Strong learning culture — global exposure, travel opportunities, and experimentation encouraged
-   ✓ High career opportunity score (3.9/5) — rapid growth creates new roles and leadership paths
-   ✓ AI-native product with real enterprise traction — ~$100M revenue, not just a science project

### ✗ What could be better

-   ✗ Demanding pace — work-life balance scores 3.4/5, intensity is real
-   ✗ Fast-paced environment can feel overwhelming for new joiners still ramping up
-   ✗ Global distributed team means cross-timezone coordination challenges across multiple global offices
-   ✗ Some reviews cite mixed management experiences — growing pains at scale

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

AI/ML Python TypeScript Kubernetes

#### Product

AI-native CRM that converges customer support, product management, and engineering workflows into a single platform. Built to replace the disconnected toolchain of Jira + Zendesk + Salesforce.

#### AI & ML

Proprietary AI models powering agent-based customer interactions, automated workflows, and intelligent ticket routing. AI is the product, not bolted on. [Explore DevRev →](https://devrev.ai/?ref=jobsbyculture.com)

#### Team Structure

Engineering-led organization with technical founders still deeply involved. ~800 employees across multiple global offices (Palo Alto HQ, Bengaluru, Chennai, Buenos Aires, Ljubljana and more). Engineers own features end-to-end with direct lines to product decisions.

Open Positions

## Join the _DevRev_ team

Explore open roles at DevRev below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=devrev)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 57 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Best AI & Tech Companies for Engineers in 2026](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)

### Compare DevRev



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## Document: Doctolib Culture & Jobs | JobsByCulture

# Doctolib Culture & Jobs | JobsByCulture

> Doctolib engineering culture: 3.7 Glassdoor, 3.7 WLB, Europe

Source: https://jobsbyculture.com/companies/doctolib
Markdown: https://jobsbyculture.com/companies/doctolib.md
Last updated: 2026-07-14

---
![Doctolib logo](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

# Doctolib

Europe's #1 Healthtech — Improving Healthcare Access for 80M+ Patients

The consensus on Doctolib: A genuinely mission-driven company with strong growth opportunities and passionate colleagues, but heavy-handed management and a French-centric culture can be barriers for international teams.

2013

Founded

Paris

Headquarters

~3,500

Employees

~$402M

Revenue

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Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Doctolib

Doctolib is Europe's leading healthtech platform, connecting patients with healthcare practitioners across France, Germany, and Italy. With ~$402M in revenue and 80M+ patients, the mission is tangible and employees feel it daily. The culture emphasizes learning, shipping fast, and social impact. However, management can be heavy-handed, and non-French speakers may find the culture barrier real — despite the company's European ambitions.

[Social Impact](https://jobsbyculture.com/values/social-impact) [Learning](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact) [Ship Fast](https://jobsbyculture.com/values/ship-fast)

Glassdoor Ratings

## Doctolib Glassdoor Ratings & _Employee Reviews_

3.7

Overall Glassdoor Score

Based on employee reviews

Culture & Values 3.7

Compensation & Benefits 3.3

Senior Management 3.3

Career Opportunities 3.4

Work-Life Balance 3.7

Overall Rating 3.7

72% Recommend to a Friend

Employee Review Themes

## Working at Doctolib: _Pros & Cons_

### ✓ What employees love

-   ✓Mission-driven colleagues who genuinely care about improving healthcare
-   ✓Strong growth opportunities — the company invests heavily in L&D
-   ✓Real product impact — 80M+ patients use the platform daily
-   ✓Fast-paced environment where you can ship meaningful features quickly

### ✗ What could be better

-   ✗Heavy-handed management — top-down decisions can override team autonomy
-   ✗French-centric culture barrier — non-French speakers feel excluded in some teams
-   ✗High pressure to hit targets with aggressive growth expectations

Open Positions

## Join the _Doctolib_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=doctolib)

Explore More

## Related _content_

### Blog Posts

-   [→ OpenAI's $122B Round: What It Means for AI Jobs & Who's Hiring](https://jobsbyculture.com/blog/openai-122b-funding-ai-jobs-2026)

### Compare Doctolib

-   [→ Doctolib vs Abridge](https://jobsbyculture.com/compare/abridge-vs-doctolib)
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-   [→ Doctolib vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-doctolib)
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-   [→ Doctolib vs Databricks](https://jobsbyculture.com/compare/databricks-vs-doctolib)
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-   [→ Doctolib vs DeepL](https://jobsbyculture.com/compare/deepl-vs-doctolib)
-   [→ Doctolib vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-doctolib)
-   [→ Doctolib vs Descript](https://jobsbyculture.com/compare/descript-vs-doctolib)
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-   [→ Doctolib vs ElevenLabs](https://jobsbyculture.com/compare/doctolib-vs-elevenlabs)
-   [→ Doctolib vs Figma](https://jobsbyculture.com/compare/doctolib-vs-figma)
-   [→ Doctolib vs Fireworks AI](https://jobsbyculture.com/compare/doctolib-vs-fireworksai)
-   [→ Doctolib vs GitLab](https://jobsbyculture.com/compare/doctolib-vs-gitlab)
-   [→ Doctolib vs Glean](https://jobsbyculture.com/compare/doctolib-vs-glean)
-   [→ Doctolib vs Grafana Labs](https://jobsbyculture.com/compare/doctolib-vs-grafanalabs)
-   [→ Doctolib vs Granola](https://jobsbyculture.com/compare/doctolib-vs-granola)
-   [→ Doctolib vs Harvey AI](https://jobsbyculture.com/compare/doctolib-vs-harvey)
-   [→ Doctolib vs Hebbia](https://jobsbyculture.com/compare/doctolib-vs-hebbia)
-   [→ Doctolib vs Helsing](https://jobsbyculture.com/compare/doctolib-vs-helsing)
-   [→ Doctolib vs HubSpot](https://jobsbyculture.com/compare/doctolib-vs-hubspot)
-   [→ Doctolib vs Hugging Face](https://jobsbyculture.com/compare/doctolib-vs-huggingface)
-   [→ Doctolib vs incident.io](https://jobsbyculture.com/compare/doctolib-vs-incidentio)
-   [→ Doctolib vs Labelbox](https://jobsbyculture.com/compare/doctolib-vs-labelbox)
-   [→ Doctolib vs Lambda](https://jobsbyculture.com/compare/doctolib-vs-lambda)
-   [→ Doctolib vs LangChain](https://jobsbyculture.com/compare/doctolib-vs-langchain)
-   [→ Doctolib vs Linear](https://jobsbyculture.com/compare/doctolib-vs-linear)
-   [→ Doctolib vs Lovable](https://jobsbyculture.com/compare/doctolib-vs-lovable)
-   [→ Doctolib vs Mercor](https://jobsbyculture.com/compare/doctolib-vs-mercor)
-   [→ Doctolib vs Mercury](https://jobsbyculture.com/compare/doctolib-vs-mercury)
-   [→ Doctolib vs Mistral AI](https://jobsbyculture.com/compare/doctolib-vs-mistral)
-   [→ Doctolib vs Modal](https://jobsbyculture.com/compare/doctolib-vs-modal)
-   [→ Doctolib vs MongoDB](https://jobsbyculture.com/compare/doctolib-vs-mongodb)
-   [→ Doctolib vs n8n](https://jobsbyculture.com/compare/doctolib-vs-n8n)
-   [→ Doctolib vs Navan](https://jobsbyculture.com/compare/doctolib-vs-navan)
-   [→ Doctolib vs Notion](https://jobsbyculture.com/compare/doctolib-vs-notion)
-   [→ Doctolib vs OpenAI](https://jobsbyculture.com/compare/doctolib-vs-openai)
-   [→ Doctolib vs Perplexity AI](https://jobsbyculture.com/compare/doctolib-vs-perplexity)
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-   [→ Doctolib vs Pylon](https://jobsbyculture.com/compare/doctolib-vs-pylon)
-   [→ Doctolib vs Ramp](https://jobsbyculture.com/compare/doctolib-vs-ramp)
-   [→ Doctolib vs Replit](https://jobsbyculture.com/compare/doctolib-vs-replit)
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-   [→ Doctolib vs Vercel](https://jobsbyculture.com/compare/doctolib-vs-vercel)
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-   [→ Doctolib vs Weaviate](https://jobsbyculture.com/compare/doctolib-vs-weaviate)
-   [→ Doctolib vs Webflow](https://jobsbyculture.com/compare/doctolib-vs-webflow)
-   [→ Doctolib vs Writer](https://jobsbyculture.com/compare/doctolib-vs-writer)

🏢

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## Document: Dropbox Glassdoor, Culture & Careers 2026 | JobsByCulture

# Dropbox Glassdoor, Culture & Careers 2026 | JobsByCulture

> Dropbox company profile: 3.9 Glassdoor, ~2,200 employees, $170k–$350k comp. Virtual First remote pioneer — culture reviews, work-life balance, and open careers.

Source: https://jobsbyculture.com/companies/dropbox
Markdown: https://jobsbyculture.com/companies/dropbox.md
Last updated: 2026-07-14

---
![Dropbox logo](https://www.google.com/s2/favicons?domain=dropbox.com&sz=128)

# Dropbox

Virtual First Pioneer — The Gold Standard for Remote Work

The consensus on Dropbox: Choose Dropbox if you want genuine remote-first culture with strong comp and work-life balance at a mature company — but be prepared for organizational change and re-orgs.

2007

Founded

San Francisco

HQ (Virtual First)

~2,200

Employees

Public (DBX)

NYSE Listed

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Culture Overview

## What it's _really_ like to work at Dropbox

Dropbox pioneered Virtual First in 2020 and hasn't looked back. While most companies wobbled between hybrid mandates and return-to-office edicts, Dropbox committed: remote work is the default, offices became "Dropbox Studios" for intentional collaboration, and the majority of employees now live outside traditional office hubs. The result? Dropbox publicly reports a 126% lift in offer acceptance rate and a major increase in applications per role since the Virtual First shift. But it's not utopia — frequent re-orgs and layoff cycles (including a ~20% workforce reduction in October 2024) mean stability isn't Dropbox's strong suit. The engineering culture remains solid: strong comp, deep technical challenges in distributed systems and AI, and a pace that respects personal time.

[Remote](https://jobsbyculture.com/values/remote) [Work-Life Balance](https://jobsbyculture.com/values/wlb) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Strong Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Dropbox Glassdoor Ratings & _Employee Reviews_

3.9

Overall Glassdoor Score

Based on 1,613 reviews

Culture & Values 4.0

Work-Life Balance 4.2

Compensation & Benefits 4.2

Career Opportunities 3.5

Overall Rating 3.9

69% Recommend to a Friend

Employee Review Themes

## Working at Dropbox: _Pros & Cons_

### ✓ What employees love

-   ✓ Virtual First is the real deal — genuine remote-first since 2020, not a pandemic afterthought
-   ✓ Strong work-life balance (4.2/5) — managers actively respect personal time
-   ✓ Excellent comp and benefits (4.2/5) — competitive RSU packages as a public company
-   ✓ Dropbox Studios for intentional in-person collaboration — best of both worlds

### ✗ What could be better

-   ✗ Frequent re-orgs and multiple layoff rounds (including ~20% in Oct 2024) create instability
-   ✗ Strategic direction can feel unclear — shifting priorities and definitions of success
-   ✗ Career growth rated 3.5/5 — advancement paths not always well-defined
-   ✗ Accountability isn't always consistent across teams and leadership

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python Rust Go TypeScript React

#### Product Focus

Cloud storage, file sync, collaboration tools, and AI-powered productivity features. Dropbox Dash brings AI-powered search across all your tools. Deep distributed systems challenges at massive scale.

#### Infrastructure

Custom-built storage infrastructure handling exabytes of data. Migrated from AWS to own data centers (Magic Pocket). One of the largest Rust codebases in production.

#### Team Structure

Distributed engineering teams across the globe. Virtual First means async-friendly workflows. Dropbox Studios for quarterly in-person sprints and collaboration sessions.

Open Positions

## Join the _Dropbox_ team

Explore open roles at Dropbox below.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=dropbox)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Best Tech Companies for Working Parents in 2026: Parental Leave, Flexibility & Culture](https://jobsbyculture.com/blog/best-tech-companies-for-parents-2026)
-   [→ Dropbox Salary 2026: $179K–$692K TC, RSU Vesting & How It Compares](https://jobsbyculture.com/blog/dropbox-compensation-2026)
-   [→ How to Get Promoted in Tech in 2026: The No-BS Guide](https://jobsbyculture.com/blog/how-to-get-promoted-tech-2026)
-   [→ Only 19% of AI Companies Are Genuinely Remote-First: Our Data Across 118 Companies](https://jobsbyculture.com/blog/remote-work-ai-companies-data-2026)
-   [→ Working at Dropbox in 2026: Virtual First, the Dash AI Pivot & Culture Reality](https://jobsbyculture.com/blog/working-at-dropbox-2026)



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## Document: Duolingo Glassdoor, Culture & Careers 2026 | JobsByCulture

# Duolingo Glassdoor, Culture & Careers 2026 | JobsByCulture

> Duolingo company profile: 4.2 Glassdoor, ~900 employees, $130k–$280k comp. Work-life balance, culture reviews, and open careers at the world

Source: https://jobsbyculture.com/companies/duolingo
Markdown: https://jobsbyculture.com/companies/duolingo.md
Last updated: 2026-07-14

---
![Duolingo logo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

# Duolingo

The World's #1 Language-Learning App — 800M+ Users, Free Education for Everyone

The consensus on Duolingo: Choose Duolingo if you want to A/B test your way to making free education available to 800M+ people — but the pace rewards shipping over perfection, and comp trails FAANG by ~20%.

4.2

Glassdoor Rating

~900

Employees

$130k–$280k

Total Compensation

Pittsburgh, PA

Headquarters

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Culture Overview

## What it's _really_ like to work at Duolingo

In 2011, Luis von Ahn — the Carnegie Mellon professor who invented CAPTCHA and reCAPTCHA — asked a simple question: why does the best education in the world cost thousands of dollars? He and Severin Hacker built Duolingo to answer it. Fifteen years later, 800M+ people use the app, and the culture still reflects that founding tension between mission and metrics.

Duolingo is obsessively product-driven. Everything gets A/B tested — lesson flows, streak mechanics, notification timing, even the owl's facial expressions. Engineering is the largest department (roughly 40% of headcount), and engineers are expected to think like product owners, not ticket-takers. The communal lunch tradition, running daily since the company's earliest days, isn't just a perk — it's where cross-functional ideas collide. The pace is fast, shipping is rewarded, and the mission is real. But the hybrid-office policy is strict (3 days in Pittsburgh or NYC), and comp sits around 80% of FAANG equivalents.

[Product-Impact](https://jobsbyculture.com/values/product-impact) [Learning Culture](https://jobsbyculture.com/values/learning) [Social Impact](https://jobsbyculture.com/values/social-impact) [Ship-Fast](https://jobsbyculture.com/values/ship-fast) [Strong Comp & Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Duolingo Glassdoor Ratings & _Employee Reviews_

4.2

Overall Glassdoor Score

Based on 151 reviews

Culture & Values 4.2

Work-Life Balance 3.8

Compensation & Benefits 4.0

Career Opportunities 3.7

Work-Life Balance (Software Engineers) 4.1

Overall Rating 4.2

76% Recommend to a Friend

CEO Approval

Employee Review Themes

## Working at Duolingo: _Pros & Cons_

### ✓ What employees love

-   ✓ World's #1 education app — 800M+ users, genuine social impact you can feel daily
-   ✓ Strong product culture with data-driven experimentation — A/B testing everything from lessons to notifications
-   ✓ Collaborative teams with daily communal lunches — a company-wide tradition since day one
-   ✓ Public company (DUOL) with competitive comp, RSUs, and a 2-week winter break

### ✗ What could be better

-   ✗ Shipping fast is rewarded — can create pressure to work longer hours during launches
-   ✗ Comp is ~80% of FAANG for equivalent roles — offset somewhat by lower Pittsburgh COL
-   ✗ Promotion cycle reduced to 1x per year — can feel slow for high performers
-   ✗ In-office 3 days required — strict hybrid policy, not fully remote

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python Kotlin Swift React DynamoDB AWS

#### Scale & Product

800M+ registered users across iOS, Android, and web. Adaptive learning powered by massive-scale ML models that personalize every lesson. The app runs millions of A/B tests annually — experimentation is the product culture.

#### AI & Machine Learning

Duolingo's Birdbrain ML system personalizes difficulty in real time for each learner. The team also builds AI-powered features like Duolingo Max (GPT-4 integration for roleplay and explanations) and speech recognition models for pronunciation.

#### Team Structure

Engineering is the largest department (roughly 40% of headcount) across Pittsburgh, NYC, Seattle, and Berlin. Engineers are organized into product-aligned squads with significant autonomy. Technical founders (Luis von Ahn: CS professor, CAPTCHA inventor) set the tone.

Who Thrives Here

## Duolingo is the right fit _if you are..._

#### Product-Minded Engineers

You don't just write code — you think about user behavior, propose experiments, and care deeply about metrics. At Duolingo, engineering and product thinking are inseparable.

#### Mission-Driven at Scale

You want your work to matter beyond revenue. Duolingo's free tier genuinely educates hundreds of millions of people. If "make the best education universally available" resonates, this is your place.

#### Experimenters & Data Lovers

You're comfortable letting data settle debates. Duolingo A/B tests obsessively — even the owl's expressions. If you'd rather run an experiment than argue in a meeting, you'll thrive.

#### Collaborative Culture Seekers

You value the daily communal lunch, cross-team collaboration, and a workplace where people genuinely like spending time together. Duolingo's Pittsburgh roots keep the culture grounded and friendly.

Open Positions

## Join the _Duolingo_ team

Explore open roles at Duolingo below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=duolingo)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Companies Where Coworkers Actually Become Friends: Team Culture Beyond the Office](https://jobsbyculture.com/blog/companies-where-coworkers-become-friends-2026)
-   [→ Duolingo Compensation in 2026: Salary, RSUs, Benefits & What Engineers Actually Earn](https://jobsbyculture.com/blog/duolingo-compensation-2026)
-   [→ RTO Mandates in 2026: What the Data Actually Shows About Return-to-Office](https://jobsbyculture.com/blog/rto-mandates-data-2026)
-   [→ Working at Duolingo in 2026: Culture, Compensation & What Employees Say](https://jobsbyculture.com/blog/working-at-duolingo-2026)



🏢

### Claim _Duolingo_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Elastic Glassdoor, Culture & Careers 2026 | JobsByCulture

# Elastic Glassdoor, Culture & Careers 2026 | JobsByCulture

> Elastic company profile: 4.0 Glassdoor, ~4,000 employees, $161k–$386k comp. Fully distributed open-source company behind Elasticsearch with strong work-life balance.

Source: https://jobsbyculture.com/companies/elastic
Markdown: https://jobsbyculture.com/companies/elastic.md
Last updated: 2026-07-14

---
![Elastic logo](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

# Elastic

Open-Source Search & Observability — Distributed by Design

The consensus on Elastic: Choose Elastic if you want genuine remote-first culture across 40+ countries, meaningful open-source impact, and the rare combination of public-company stability with startup-era flexibility.

2012

Founded

Distributed

40+ Countries

~4,000

Employees

NYSE: ESTC

Public Company

Free Work at Elastic? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Elastic

Elastic was distributed before remote was trendy. Founded in 2012 by the creators of Elasticsearch and contributors to Apache Lucene, the company has operated across time zones from day one. Their "Source Code" — a set of cultural values including "As YOU, Are," "Home, Dinner," and "Space, Time" — isn't marketing speak. It's operationalized in how they hire, onboard, and run meetings. Engineers get to work on widely-adopted open-source software used by Netflix, Uber, Wikipedia, and thousands more. The tradeoff: cross-timezone coordination means occasional odd-hours meetings, and recent leadership changes have introduced more process than the early days.

[Remote](https://jobsbyculture.com/values/remote) [Open Source](https://jobsbyculture.com/values/open-source) [Work-Life Balance](https://jobsbyculture.com/values/wlb) [Async](https://jobsbyculture.com/values/async) [Strong Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Elastic Glassdoor Ratings & _Employee Reviews_

4.0

Overall Glassdoor Score

Based on 861 reviews

Culture & Values 4.0

Work-Life Balance 4.1

Compensation & Benefits 4.3

Overall Rating 4.0

77% Recommend to a Friend

Employee Review Themes

## Working at Elastic: _Pros & Cons_

### ✓ What employees love

-   ✓ Fully distributed from day one — genuine remote culture, not a pandemic afterthought
-   ✓ Open-source mission gives engineers real community impact beyond just shipping features
-   ✓ "Home, Dinner" is a core value — strong work-life balance baked into the culture
-   ✓ Competitive compensation with public-company RSUs and solid healthcare benefits

### ✗ What could be better

-   ✗ Cross-timezone coordination means occasional 2am meetings for some regions
-   ✗ Recent leadership changes have introduced more micromanagement and oversight
-   ✗ Large company with 4,000 people — less startup energy than smaller peers
-   ✗ Past restructuring (13% workforce reduction announced Nov 2022) is still referenced by long-tenured employees

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Java Go TypeScript Rust Lucene

#### Product

The Elastic Stack: Elasticsearch (search & analytics), Kibana (visualization), Beats (data shipping), and Elastic Agent. Powers search, observability, and security for thousands of organizations.

#### Open Source

Core contributor to Apache Lucene. Elasticsearch is one of the most widely-deployed open-source projects globally. Engineers contribute to community-visible code daily. [Join the team →](https://www.elastic.co/careers?ref=jobsbyculture.com)

#### Team Structure

Distributed engineering teams across 40+ countries. Async-first communication with overlap windows for synchronous collaboration. Teams own product areas end-to-end with significant autonomy.

Open Positions

## Join the _Elastic_ team

Explore open roles at Elastic below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=elastic)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Cloudflare Compensation in 2026: Engineer Salary, RSUs & Total Comp by Level](https://jobsbyculture.com/blog/cloudflare-compensation-2026)
-   [→ Databricks Number of Employees 2026: How Many People Work at Databricks?](https://jobsbyculture.com/blog/databricks-employee-count-2026)
-   [→ Low-Meeting Culture Companies 2026: Where Deep Work Actually Happens](https://jobsbyculture.com/blog/low-meeting-culture-companies-2026)
-   [→ MongoDB Compensation in 2026: $163K–$1M+ by Level (SE2 to Senior Staff)](https://jobsbyculture.com/blog/mongodb-compensation-2026)
-   [→ Only 19% of AI Companies Are Genuinely Remote-First: Our Data Across 118 Companies](https://jobsbyculture.com/blog/remote-work-ai-companies-data-2026)

### Compare Elastic

-   [→ Elastic vs Abridge](https://jobsbyculture.com/compare/abridge-vs-elastic)
-   [→ Elastic vs Adyen](https://jobsbyculture.com/compare/adyen-vs-elastic)
-   [→ Elastic vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-elastic)
-   [→ Elastic vs Airtable](https://jobsbyculture.com/compare/airtable-vs-elastic)
-   [→ Elastic vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-elastic)
-   [→ Elastic vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-elastic)
-   [→ Elastic vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-elastic)
-   [→ Elastic vs Asana](https://jobsbyculture.com/compare/asana-vs-elastic)
-   [→ Elastic vs Baseten](https://jobsbyculture.com/compare/baseten-vs-elastic)
-   [→ Elastic vs Brex](https://jobsbyculture.com/compare/brex-vs-elastic)
-   [→ Elastic vs Celonis](https://jobsbyculture.com/compare/celonis-vs-elastic)
-   [→ Elastic vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-elastic)
-   [→ Elastic vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-elastic)
-   [→ Elastic vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-elastic)
-   [→ Elastic vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-elastic)
-   [→ Elastic vs Cohere](https://jobsbyculture.com/compare/cohere-vs-elastic)
-   [→ Elastic vs Contentful](https://jobsbyculture.com/compare/contentful-vs-elastic)
-   [→ Elastic vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-elastic)
-   [→ Elastic vs Cresta](https://jobsbyculture.com/compare/cresta-vs-elastic)
-   [→ Elastic vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-elastic)
-   [→ Elastic vs Cursor](https://jobsbyculture.com/compare/cursor-vs-elastic)
-   [→ Elastic vs Databricks](https://jobsbyculture.com/compare/databricks-vs-elastic)
-   [→ Elastic vs Datadog](https://jobsbyculture.com/compare/datadog-vs-elastic)
-   [→ Elastic vs Decagon](https://jobsbyculture.com/compare/decagon-vs-elastic)
-   [→ Elastic vs DeepL](https://jobsbyculture.com/compare/deepl-vs-elastic)
-   [→ Elastic vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-elastic)
-   [→ Elastic vs Descript](https://jobsbyculture.com/compare/descript-vs-elastic)
-   [→ Elastic vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-elastic)
-   [→ Elastic vs ElevenLabs](https://jobsbyculture.com/compare/elastic-vs-elevenlabs)
-   [→ Elastic vs Figma](https://jobsbyculture.com/compare/elastic-vs-figma)
-   [→ Elastic vs Fireworks AI](https://jobsbyculture.com/compare/elastic-vs-fireworksai)
-   [→ Elastic vs GitLab](https://jobsbyculture.com/compare/elastic-vs-gitlab)
-   [→ Elastic vs Glean](https://jobsbyculture.com/compare/elastic-vs-glean)
-   [→ Elastic vs Grafana Labs](https://jobsbyculture.com/compare/elastic-vs-grafanalabs)
-   [→ Elastic vs Granola](https://jobsbyculture.com/compare/elastic-vs-granola)
-   [→ Elastic vs Harvey AI](https://jobsbyculture.com/compare/elastic-vs-harvey)
-   [→ Elastic vs Hebbia](https://jobsbyculture.com/compare/elastic-vs-hebbia)
-   [→ Elastic vs Helsing](https://jobsbyculture.com/compare/elastic-vs-helsing)
-   [→ Elastic vs HubSpot](https://jobsbyculture.com/compare/elastic-vs-hubspot)
-   [→ Elastic vs Hugging Face](https://jobsbyculture.com/compare/elastic-vs-huggingface)
-   [→ Elastic vs incident.io](https://jobsbyculture.com/compare/elastic-vs-incidentio)
-   [→ Elastic vs Labelbox](https://jobsbyculture.com/compare/elastic-vs-labelbox)
-   [→ Elastic vs Lambda](https://jobsbyculture.com/compare/elastic-vs-lambda)
-   [→ Elastic vs LangChain](https://jobsbyculture.com/compare/elastic-vs-langchain)
-   [→ Elastic vs Linear](https://jobsbyculture.com/compare/elastic-vs-linear)
-   [→ Elastic vs Lovable](https://jobsbyculture.com/compare/elastic-vs-lovable)
-   [→ Elastic vs Mercor](https://jobsbyculture.com/compare/elastic-vs-mercor)
-   [→ Elastic vs Mercury](https://jobsbyculture.com/compare/elastic-vs-mercury)
-   [→ Elastic vs Mistral AI](https://jobsbyculture.com/compare/elastic-vs-mistral)
-   [→ Elastic vs Modal](https://jobsbyculture.com/compare/elastic-vs-modal)
-   [→ Elastic vs MongoDB](https://jobsbyculture.com/compare/elastic-vs-mongodb)
-   [→ Elastic vs n8n](https://jobsbyculture.com/compare/elastic-vs-n8n)
-   [→ Elastic vs Navan](https://jobsbyculture.com/compare/elastic-vs-navan)
-   [→ Elastic vs Notion](https://jobsbyculture.com/compare/elastic-vs-notion)
-   [→ Elastic vs OpenAI](https://jobsbyculture.com/compare/elastic-vs-openai)
-   [→ Elastic vs Perplexity AI](https://jobsbyculture.com/compare/elastic-vs-perplexity)
-   [→ Elastic vs Pinecone](https://jobsbyculture.com/compare/elastic-vs-pinecone)
-   [→ Elastic vs Plaid](https://jobsbyculture.com/compare/elastic-vs-plaid)
-   [→ Elastic vs Poolside AI](https://jobsbyculture.com/compare/elastic-vs-poolside)
-   [→ Elastic vs PostHog](https://jobsbyculture.com/compare/elastic-vs-posthog)
-   [→ Elastic vs Pylon](https://jobsbyculture.com/compare/elastic-vs-pylon)
-   [→ Elastic vs Ramp](https://jobsbyculture.com/compare/elastic-vs-ramp)
-   [→ Elastic vs Replit](https://jobsbyculture.com/compare/elastic-vs-replit)
-   [→ Elastic vs Runway](https://jobsbyculture.com/compare/elastic-vs-runway)
-   [→ Elastic vs Samsara](https://jobsbyculture.com/compare/elastic-vs-samsara)
-   [→ Elastic vs Scale AI](https://jobsbyculture.com/compare/elastic-vs-scale)
-   [→ Elastic vs Sierra AI](https://jobsbyculture.com/compare/elastic-vs-sierra)
-   [→ Elastic vs Snowflake](https://jobsbyculture.com/compare/elastic-vs-snowflake)
-   [→ Elastic vs Stripe](https://jobsbyculture.com/compare/elastic-vs-stripe)
-   [→ Elastic vs Suno](https://jobsbyculture.com/compare/elastic-vs-suno)
-   [→ Elastic vs Supabase](https://jobsbyculture.com/compare/elastic-vs-supabase)
-   [→ Elastic vs Synthesia](https://jobsbyculture.com/compare/elastic-vs-synthesia)
-   [→ Elastic vs Tailscale](https://jobsbyculture.com/compare/elastic-vs-tailscale)
-   [→ Elastic vs Together AI](https://jobsbyculture.com/compare/elastic-vs-together)
-   [→ Elastic vs Twilio](https://jobsbyculture.com/compare/elastic-vs-twilio)
-   [→ Elastic vs Vanta](https://jobsbyculture.com/compare/elastic-vs-vanta)
-   [→ Elastic vs Vast AI](https://jobsbyculture.com/compare/elastic-vs-vast)
-   [→ Elastic vs Vercel](https://jobsbyculture.com/compare/elastic-vs-vercel)
-   [→ Elastic vs Wayve](https://jobsbyculture.com/compare/elastic-vs-wayve)
-   [→ Elastic vs Weaviate](https://jobsbyculture.com/compare/elastic-vs-weaviate)
-   [→ Elastic vs Webflow](https://jobsbyculture.com/compare/elastic-vs-webflow)
-   [→ Elastic vs Writer](https://jobsbyculture.com/compare/elastic-vs-writer)



🏢

### Claim _Elastic_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

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### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: ElevenLabs Culture & Jobs | JobsByCulture

# ElevenLabs Culture & Jobs | JobsByCulture

> ElevenLabs engineering culture: 4.2 Glassdoor, AI voice platform leader, $11B valuation. See 183 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/elevenlabs
Markdown: https://jobsbyculture.com/companies/elevenlabs.md
Last updated: 2026-07-14

---
![ElevenLabs logo](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

# ElevenLabs

AI Voice & Audio Platform — Text-to-Speech, Voice Cloning, and Conversational AI

The consensus on ElevenLabs: Choose ElevenLabs if you want to work on the world's leading AI voice platform with exceptional colleagues and real product impact — but expect startup-speed intensity and long hours.

2022

Founded

New York

Headquarters

~400

Employees

$11B

Valuation (2026)

Free Work at ElevenLabs? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at ElevenLabs

Founded in 2022 by Mati Staniszewski (ex-Palantir) and Piotr Dabkowski (ex-Google ML), ElevenLabs has rapidly become the market leader in AI voice technology. The culture is fast-paced and product-driven, with a globally distributed team spanning NYC, London, and Warsaw. Engineers work on genuinely cutting-edge audio AI with high ownership and visible impact.

[Ship Fast](https://jobsbyculture.com/values/ship-fast) [Remote-Friendly](https://jobsbyculture.com/values/remote) [Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Product Impact](https://jobsbyculture.com/values/product-impact) [Learning](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## ElevenLabs Glassdoor Ratings & _Employee Reviews_

4.2

Overall Glassdoor Score

Based on 38 reviews

Culture & Values 3.9

Compensation & Benefits 3.9

Career Opportunities 4.2

Senior Management 3.9

Work-Life Balance 3.6

Overall Rating 4.2

73% Recommend to a Friend

80% CEO Approval (Mati Staniszewski)

Employee Review Themes

## Working at ElevenLabs: _Pros & Cons_

### ✓ What employees love

-   ✓ Market-leading AI voice technology — genuinely impressive product that people love using
-   ✓ Exceptional caliber of teammates — engineers report being surrounded by some of the strongest peers they've worked with
-   ✓ Remote-friendly with hybrid options in NYC, London, and Warsaw
-   ✓ Broad ownership and autonomy — engineers work on highly visible, impactful problems
-   ✓ Strong product-market fit with $330M ARR and clear market leadership

### ✗ What could be better

-   ✗ Extreme workload — 60–70+ hour weeks are common; work-life balance rated lowest (3.6/5)
-   ✗ Compensation can be below market for the intensity of work, with thin equity packages
-   ✗ Some reviews describe a gap between leadership messaging and day-to-day commitments
-   ✗ High-pressure culture with low margin for error — career growth contingent on alignment with leadership

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python TypeScript React Next.js WebRTC

#### Key Products

Text-to-Speech Voice Cloning AI Dubbing Conversational AI

#### Open Source & Developer API

Official Python and JS SDKs on GitHub. Extensive developer API with documentation. Active developer community building on the voice AI platform. [Explore the API →](https://elevenlabs.io/docs/api-reference?ref=jobsbyculture.com)

#### Team Structure

Small, fast-moving teams with first-principles engineering philosophy. Remote-first with offices in NYC, London, and Warsaw. Engineers drive projects end-to-end across the full stack.

Open Positions

## Join the _ElevenLabs_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=elevenlabs)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)
-   [→ Best AI Companies for Work-Life Balance in New York (2026)](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-new-york-2026)

### Compare ElevenLabs

-   [→ ElevenLabs vs Abridge](https://jobsbyculture.com/compare/abridge-vs-elevenlabs)
-   [→ ElevenLabs vs Adyen](https://jobsbyculture.com/compare/adyen-vs-elevenlabs)
-   [→ ElevenLabs vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-elevenlabs)
-   [→ ElevenLabs vs Airtable](https://jobsbyculture.com/compare/airtable-vs-elevenlabs)
-   [→ ElevenLabs vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-elevenlabs)
-   [→ ElevenLabs vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-elevenlabs)
-   [→ ElevenLabs vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-elevenlabs)
-   [→ ElevenLabs vs Asana](https://jobsbyculture.com/compare/asana-vs-elevenlabs)
-   [→ ElevenLabs vs Baseten](https://jobsbyculture.com/compare/baseten-vs-elevenlabs)
-   [→ ElevenLabs vs Brex](https://jobsbyculture.com/compare/brex-vs-elevenlabs)
-   [→ ElevenLabs vs Celonis](https://jobsbyculture.com/compare/celonis-vs-elevenlabs)
-   [→ ElevenLabs vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-elevenlabs)
-   [→ ElevenLabs vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-elevenlabs)
-   [→ ElevenLabs vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-elevenlabs)
-   [→ ElevenLabs vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-elevenlabs)
-   [→ ElevenLabs vs Cohere](https://jobsbyculture.com/compare/cohere-vs-elevenlabs)
-   [→ ElevenLabs vs Contentful](https://jobsbyculture.com/compare/contentful-vs-elevenlabs)
-   [→ ElevenLabs vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-elevenlabs)
-   [→ ElevenLabs vs Cresta](https://jobsbyculture.com/compare/cresta-vs-elevenlabs)
-   [→ ElevenLabs vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-elevenlabs)
-   [→ ElevenLabs vs Cursor](https://jobsbyculture.com/compare/cursor-vs-elevenlabs)
-   [→ ElevenLabs vs Databricks](https://jobsbyculture.com/compare/databricks-vs-elevenlabs)
-   [→ ElevenLabs vs Datadog](https://jobsbyculture.com/compare/datadog-vs-elevenlabs)
-   [→ ElevenLabs vs Decagon](https://jobsbyculture.com/compare/decagon-vs-elevenlabs)
-   [→ ElevenLabs vs DeepL](https://jobsbyculture.com/compare/deepl-vs-elevenlabs)
-   [→ ElevenLabs vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-elevenlabs)
-   [→ ElevenLabs vs Descript](https://jobsbyculture.com/compare/descript-vs-elevenlabs)
-   [→ ElevenLabs vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-elevenlabs)
-   [→ ElevenLabs vs Elastic](https://jobsbyculture.com/compare/elastic-vs-elevenlabs)
-   [→ ElevenLabs vs Figma](https://jobsbyculture.com/compare/elevenlabs-vs-figma)
-   [→ ElevenLabs vs Fireworks AI](https://jobsbyculture.com/compare/elevenlabs-vs-fireworksai)
-   [→ ElevenLabs vs GitLab](https://jobsbyculture.com/compare/elevenlabs-vs-gitlab)
-   [→ ElevenLabs vs Glean](https://jobsbyculture.com/compare/elevenlabs-vs-glean)
-   [→ ElevenLabs vs Grafana Labs](https://jobsbyculture.com/compare/elevenlabs-vs-grafanalabs)
-   [→ ElevenLabs vs Granola](https://jobsbyculture.com/compare/elevenlabs-vs-granola)
-   [→ ElevenLabs vs Harvey AI](https://jobsbyculture.com/compare/elevenlabs-vs-harvey)
-   [→ ElevenLabs vs Hebbia](https://jobsbyculture.com/compare/elevenlabs-vs-hebbia)
-   [→ ElevenLabs vs Helsing](https://jobsbyculture.com/compare/elevenlabs-vs-helsing)
-   [→ ElevenLabs vs HubSpot](https://jobsbyculture.com/compare/elevenlabs-vs-hubspot)
-   [→ ElevenLabs vs Hugging Face](https://jobsbyculture.com/compare/elevenlabs-vs-huggingface)
-   [→ ElevenLabs vs incident.io](https://jobsbyculture.com/compare/elevenlabs-vs-incidentio)
-   [→ ElevenLabs vs Labelbox](https://jobsbyculture.com/compare/elevenlabs-vs-labelbox)
-   [→ ElevenLabs vs Lambda](https://jobsbyculture.com/compare/elevenlabs-vs-lambda)
-   [→ ElevenLabs vs LangChain](https://jobsbyculture.com/compare/elevenlabs-vs-langchain)
-   [→ ElevenLabs vs Linear](https://jobsbyculture.com/compare/elevenlabs-vs-linear)
-   [→ ElevenLabs vs Lovable](https://jobsbyculture.com/compare/elevenlabs-vs-lovable)
-   [→ ElevenLabs vs Mercor](https://jobsbyculture.com/compare/elevenlabs-vs-mercor)
-   [→ ElevenLabs vs Mercury](https://jobsbyculture.com/compare/elevenlabs-vs-mercury)
-   [→ ElevenLabs vs Mistral AI](https://jobsbyculture.com/compare/elevenlabs-vs-mistral)
-   [→ ElevenLabs vs Modal](https://jobsbyculture.com/compare/elevenlabs-vs-modal)
-   [→ ElevenLabs vs MongoDB](https://jobsbyculture.com/compare/elevenlabs-vs-mongodb)
-   [→ ElevenLabs vs n8n](https://jobsbyculture.com/compare/elevenlabs-vs-n8n)
-   [→ ElevenLabs vs Navan](https://jobsbyculture.com/compare/elevenlabs-vs-navan)
-   [→ ElevenLabs vs Notion](https://jobsbyculture.com/compare/elevenlabs-vs-notion)
-   [→ ElevenLabs vs OpenAI](https://jobsbyculture.com/compare/elevenlabs-vs-openai)
-   [→ ElevenLabs vs Perplexity AI](https://jobsbyculture.com/compare/elevenlabs-vs-perplexity)
-   [→ ElevenLabs vs Pinecone](https://jobsbyculture.com/compare/elevenlabs-vs-pinecone)
-   [→ ElevenLabs vs Plaid](https://jobsbyculture.com/compare/elevenlabs-vs-plaid)
-   [→ ElevenLabs vs Poolside AI](https://jobsbyculture.com/compare/elevenlabs-vs-poolside)
-   [→ ElevenLabs vs PostHog](https://jobsbyculture.com/compare/elevenlabs-vs-posthog)
-   [→ ElevenLabs vs Pylon](https://jobsbyculture.com/compare/elevenlabs-vs-pylon)
-   [→ ElevenLabs vs Ramp](https://jobsbyculture.com/compare/elevenlabs-vs-ramp)
-   [→ ElevenLabs vs Replit](https://jobsbyculture.com/compare/elevenlabs-vs-replit)
-   [→ ElevenLabs vs Runway](https://jobsbyculture.com/compare/elevenlabs-vs-runway)
-   [→ ElevenLabs vs Samsara](https://jobsbyculture.com/compare/elevenlabs-vs-samsara)
-   [→ ElevenLabs vs Scale AI](https://jobsbyculture.com/compare/elevenlabs-vs-scale)
-   [→ ElevenLabs vs Sierra AI](https://jobsbyculture.com/compare/elevenlabs-vs-sierra)
-   [→ ElevenLabs vs Snowflake](https://jobsbyculture.com/compare/elevenlabs-vs-snowflake)
-   [→ ElevenLabs vs Stripe](https://jobsbyculture.com/compare/elevenlabs-vs-stripe)
-   [→ ElevenLabs vs Suno](https://jobsbyculture.com/compare/elevenlabs-vs-suno)
-   [→ ElevenLabs vs Supabase](https://jobsbyculture.com/compare/elevenlabs-vs-supabase)
-   [→ ElevenLabs vs Synthesia](https://jobsbyculture.com/compare/elevenlabs-vs-synthesia)
-   [→ ElevenLabs vs Tailscale](https://jobsbyculture.com/compare/elevenlabs-vs-tailscale)
-   [→ ElevenLabs vs Together AI](https://jobsbyculture.com/compare/elevenlabs-vs-together)
-   [→ ElevenLabs vs Twilio](https://jobsbyculture.com/compare/elevenlabs-vs-twilio)
-   [→ ElevenLabs vs Vanta](https://jobsbyculture.com/compare/elevenlabs-vs-vanta)
-   [→ ElevenLabs vs Vast AI](https://jobsbyculture.com/compare/elevenlabs-vs-vast)
-   [→ ElevenLabs vs Vercel](https://jobsbyculture.com/compare/elevenlabs-vs-vercel)
-   [→ ElevenLabs vs Wayve](https://jobsbyculture.com/compare/elevenlabs-vs-wayve)
-   [→ ElevenLabs vs Weaviate](https://jobsbyculture.com/compare/elevenlabs-vs-weaviate)
-   [→ ElevenLabs vs Webflow](https://jobsbyculture.com/compare/elevenlabs-vs-webflow)
-   [→ ElevenLabs vs Writer](https://jobsbyculture.com/compare/elevenlabs-vs-writer)



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## Document: Epicor Culture & Jobs | JobsByCulture

# Epicor Culture & Jobs | JobsByCulture

> Epicor engineering culture: 3.8 Glassdoor, 4.0 work-life balance, enterprise ERP powering manufacturing, distribution & retail worldwide.

Source: https://jobsbyculture.com/companies/epicor
Markdown: https://jobsbyculture.com/companies/epicor.md
Last updated: 2026-07-14

---
![Epicor logo](https://www.google.com/s2/favicons?domain=epicor.com&sz=128)

# Epicor

Enterprise ERP Software — Powering Manufacturing, Distribution & Retail Worldwide

A stable, people-first enterprise software company with genuine work-life balance and global reach. Choose Epicor if you want meaningful product impact at scale without startup chaos.

1972

Founded

Austin, TX

Headquarters

~6,300

Employees

34 Countries

Global Offices

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Culture Overview

## What it's _really_ like to work at Epicor

Epicor has been building enterprise software for over 50 years, helping businesses in manufacturing, distribution, and retail streamline their operations. With ~6,300 employees across 34 countries serving 23,000+ customers in 150 nations, Epicor combines the stability of an established company with ongoing innovation in cloud ERP. Employees consistently praise the work-life balance (4.0/5), supportive coworkers, and a culture that values collaboration. With a 74% recommendation rate and 73% positive business outlook, Epicor offers a stable, growth-oriented environment with genuine flexibility.

[Work-Life Balance](https://jobsbyculture.com/values/wlb) [Learning & Growth](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact) [Diverse](https://jobsbyculture.com/values/diverse)

Glassdoor Ratings

## Epicor Glassdoor Ratings & _Employee Reviews_

3.8

Overall Glassdoor Score

Based on 1,984 employee reviews

Culture & Values 3.8

Work-Life Balance 4.0

Compensation & Benefits 3.7

Career Opportunities 3.6

Overall Rating 3.8

74% Recommend to a Friend

73% Positive Business Outlook

Employee Review Themes

## Working at Epicor: _What Employees Love_

### ✓ What employees love

-   ✓ Strong work-life balance — rated 4.0/5 by employees, with genuine respect for personal time
-   ✓ Supportive, collaborative coworkers across global teams who genuinely help each other succeed
-   ✓ 50+ year track record with 23,000+ customers — real stability and industry credibility
-   ✓ Global presence across 34 countries — opportunities for international exposure and diverse perspectives

Engineering Culture

## How the _engineering_ team works

#### Product Focus

Epicor's cloud ERP platform serves 23,000+ customers across manufacturing, distribution, and retail. Engineers build features that directly impact how businesses run their operations.

#### Cloud Transformation

Epicor is actively investing in cloud-native ERP, driving a major transformation from on-premise to cloud. Engineers work on modernizing a platform that serves mission-critical business processes.

#### Global Teams

Engineering teams span 34 countries, enabling follow-the-sun development and exposure to diverse markets and business requirements across manufacturing, distribution, and retail sectors.

#### Industry Impact

With 50+ years of domain expertise, Epicor engineers solve real-world problems for businesses in 150 countries — from factory floors to distribution centers to retail stores.

Open Positions

## Join the _Epicor_ team

Explore current openings at Epicor and find your next role.

[Visit Epicor Careers →](https://jobs.epicor.com?ref=jobsbyculture.com)

Explore More

## Related _content_

### Browse by Culture

-   [→ Work-Life Balance Companies](https://jobsbyculture.com/values/wlb)
-   [→ Learning & Growth Companies](https://jobsbyculture.com/values/learning)
-   [→ Product Impact Companies](https://jobsbyculture.com/values/product-impact)
-   [→ Diverse & Inclusive Companies](https://jobsbyculture.com/values/diverse)

### Explore

-   [→ Culture Directory](https://jobsbyculture.com/companies)
-   [→ Browse All Jobs](https://jobsbyculture.com/jobs)
-   [→ Compare Companies](https://jobsbyculture.com/compare)
-   [→ Blog](https://jobsbyculture.com/blog)

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## Document: Exa Glassdoor, Culture & Careers 2026 | JobsByCulture

# Exa Glassdoor, Culture & Careers 2026 | JobsByCulture

> Exa company profile: 4.0 Glassdoor, ~120 employees, $150k–$280k comp. Work-life balance, culture reviews, and open careers at the AI search engine for LLMs.

Source: https://jobsbyculture.com/companies/exa
Markdown: https://jobsbyculture.com/companies/exa.md
Last updated: 2026-07-14

---
![Exa logo](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

# Exa

AI Search Engine Rebuilt for LLMs — Neural Retrieval for AI Agents

The consensus on Exa: Choose Exa if you want to build the search infrastructure layer that powers how AI understands the web — hard problems, small team, massive surface area.

4.0

Glassdoor Rating

~120

Employees

$150k–$280k

Compensation Range

San Francisco

Headquarters

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Culture Overview

## What it's _really_ like to work at Exa

Founded in 2021 by Will Bryk (CEO) and Dan McArdle (CTO), Exa started as Metaphor before rebranding to reflect its broader ambition: building the search engine that AI actually needs. Unlike traditional search that matches keywords, Exa uses neural retrieval to understand meaning, letting AI agents search the web the way a human researcher would. Backed by Y Combinator and most recently valued at $2.2B in its May 2026 Series C (led by Andreessen Horowitz, with prior rounds led by Benchmark and Lightspeed), Exa is the search layer powering AI applications at major labs and enterprises. The culture is engineering-first and fast-moving — a ~120-person team tackling the foundational infrastructure problem of how AI accesses and understands all of human knowledge.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship-Fast](https://jobsbyculture.com/values/ship-fast) [Product-Impact](https://jobsbyculture.com/values/product-impact) [Flat Hierarchy](https://jobsbyculture.com/values/flat) [Many-Hats](https://jobsbyculture.com/values/many-hats)

Glassdoor Ratings

## Exa Glassdoor Ratings & _Employee Reviews_

Limited data

Glassdoor reviews not yet available — we'll update as employee feedback accumulates.

Overall Glassdoor Score

Estimated — limited public reviews

Overall Rating N/A

Work-Life Balance N/A

YC-Backed, Series C ($250M)

$2.2B Valuation (May 2026)

Employee Review Themes

## Working at Exa: _Pros & Cons_

### ✓ What employees love

-   ✓ Building core AI infrastructure used by leading labs and enterprises
-   ✓ YC-backed, Series C ($250M) at $2.2B valuation as of May 2026 — strong growth trajectory
-   ✓ Small team with outsized impact on how AI accesses the web
-   ✓ Technical founders still deeply involved in engineering

### ✗ What could be better

-   ✗ Early-stage intensity — fast pace with evolving priorities
-   ✗ Limited public employee reviews — culture transparency still developing
-   ✗ San Francisco–centric — most roles require in-office presence
-   ✗ Rapid scaling means processes and career ladders are still forming

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python Rust TypeScript PyTorch

#### Core Problem

Search rebuilt from scratch for AI. Traditional search engines match keywords — Exa uses neural embeddings to understand meaning, so an AI agent can query "startups working on protein folding" and get real results, not SEO spam.

#### AI & ML

Custom neural retrieval models trained on billions of web pages. The team builds everything from the crawling infrastructure to the embedding models to the API layer. [Try Exa →](https://exa.ai/?ref=jobsbyculture.com)

#### Team Structure

Flat and cross-functional. ~120 people, co-founders deeply involved in technical decisions. Engineers own entire verticals — from search indexing to ML model training to API design.

Who Thrives Here

## Exa is the right fit _if you..._

#### Want to build foundational AI infrastructure

Exa is not an application layer company. You are building the search primitive that thousands of AI agents depend on. If you want your work to be a building block of the AI ecosystem, this is the place.

#### Thrive in ambiguity and move fast

The company went from founding to a $2.2B valuation in ~5 years, rebranding from Metaphor to Exa along the way. Priorities shift as the AI landscape evolves. You need to be comfortable shipping before things are perfect.

#### Care about hard technical problems

Neural search at web scale is genuinely difficult — indexing billions of pages, training retrieval models that understand intent, serving results in milliseconds. This is not a wrapper on top of someone else's API.

#### Want outsized impact on a small team

At ~120 people, every engineer's decisions ripple across the product. If you want to own a vertical end-to-end rather than optimize a narrow slice, Exa gives you that scope.

Open Positions

## Join the _Exa_ team

Explore open roles at Exa below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=exa)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 57 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Best AI & Tech Companies for Engineers in 2026](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)

### Similar Companies

-   [→ Perplexity AI](https://jobsbyculture.com/companies/perplexity)
-   [→ Pinecone](https://jobsbyculture.com/companies/pinecone)
-   [→ Weaviate](https://jobsbyculture.com/companies/weaviate)
-   [→ LangChain](https://jobsbyculture.com/companies/langchain)
-   [→ Cohere](https://jobsbyculture.com/companies/cohere)
-   [→ Fireworks AI](https://jobsbyculture.com/companies/fireworksai)



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## Document: Figma Culture & Jobs | JobsByCulture

# Figma Culture & Jobs | JobsByCulture

> Figma engineering culture: 3.7 Glassdoor, collaborative design platform. See 169 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/figma
Markdown: https://jobsbyculture.com/companies/figma.md
Last updated: 2026-07-14

---
![Figma logo](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

# Figma

Collaborative Design Platform — Making Design Accessible to All

The consensus on Figma: Choose Figma if you want WebAssembly-level challenges on a product people love — but expect 60+ hour weeks during crunch.

2012

Founded

San Francisco

Headquarters

~2,800

Employees

NYSE: FIG

Public (IPO Jul 2025)

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Culture Overview

## What it's _really_ like to work at Figma

Founded in 2012 by Dylan Field and Evan Wallace, Figma is the collaborative design platform that redefined how teams create together. The culture is deeply product-obsessed, with a strong emphasis on craft, community, and play. Engineers work on technically ambitious problems — real-time multiplayer collaboration, WebAssembly rendering, and scaling infrastructure for millions of users. Expect smart, passionate coworkers who care deeply about the tools they build.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Learning](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Figma Glassdoor Ratings & _Employee Reviews_

3.7

Overall Glassdoor Score

Based on 194 reviews

Culture & Values 4.0

Diversity & Inclusion 4.0

Compensation & Benefits 4.0

Career Opportunities 3.5

Senior Management 3.2

Work-Life Balance 3.1

73% Recommend to a Friend

95% CEO Approval (Dylan Field)

Employee Review Themes

## Working at Figma: _Pros & Cons_

### ✓ What employees love

-   ✓ World-class talent and peers — you learn something new every day from incredibly smart designers, engineers, and product thinkers
-   ✓ Strong product mission that employees genuinely believe in — Figma is loved by its users and that pride is infectious
-   ✓ Competitive compensation and benefits rated 4.0/5 — great PTO, holidays, and genuine support for employee wellbeing
-   ✓ Technically ambitious engineering problems: real-time multiplayer, WebAssembly rendering, and massive-scale infrastructure
-   ✓ Culture of play and experimentation — side projects are encouraged and many shipped features started as unsanctioned prototypes

### ✗ What could be better

-   ✗ Work-life balance is the weakest area at 3.1/5 — 60+ hour weeks are common, especially near deadlines
-   ✗ Hypergrowth growing pains: product suite doubled without proportional hiring, leaving teams stretched thin
-   ✗ Senior management rated 3.2/5 — shifting priorities, changing targets, and lack of transparency from leadership
-   ✗ Career progression is unclear — promotions are hard to get with vague criteria and limited upward mobility

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

C++/WASM React TypeScript Rust Go PostgreSQL

#### Multiplayer & Rendering

Built a custom real-time multiplayer engine inspired by CRDTs with last-writer-wins conflict resolution. The rendering engine compiles C++ to WebAssembly for near-native canvas performance in the browser.

#### Engineering Blog

Deep technical writing on database sharding, Kubernetes migration, and plugin sandboxing. One of the most respected engineering blogs in the industry. [Read the blog →](https://www.figma.com/blog/engineering/?ref=jobsbyculture.com)

#### Open Source

190+ public repositories on GitHub including Code Connect, plugin tooling, and design system references. Active contributor to the WebAssembly and design tooling ecosystems.

Open Positions

## Join the _Figma_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=figma)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ AI Jobs in Paris 2026: 170 Roles at Mistral, Datadog, Hugging Face & 10 More Companies](https://jobsbyculture.com/blog/ai-jobs-paris-2026)
-   [→ Airbnb Salary 2026: $290K–$876K TC, Public RSUs & Live Anywhere Policy](https://jobsbyculture.com/blog/airbnb-compensation-2026)
-   [→ Best AI & Tech Companies for Engineers in 2026](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)

### Compare Figma

-   [→ Figma vs Abridge](https://jobsbyculture.com/compare/abridge-vs-figma)
-   [→ Figma vs Adyen](https://jobsbyculture.com/compare/adyen-vs-figma)
-   [→ Figma vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-figma)
-   [→ Figma vs Airtable](https://jobsbyculture.com/compare/airtable-vs-figma)
-   [→ Figma vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-figma)
-   [→ Figma vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-figma)
-   [→ Figma vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-figma)
-   [→ Figma vs Asana](https://jobsbyculture.com/compare/asana-vs-figma)
-   [→ Figma vs Baseten](https://jobsbyculture.com/compare/baseten-vs-figma)
-   [→ Figma vs Brex](https://jobsbyculture.com/compare/brex-vs-figma)
-   [→ Figma vs Celonis](https://jobsbyculture.com/compare/celonis-vs-figma)
-   [→ Figma vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-figma)
-   [→ Figma vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-figma)
-   [→ Figma vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-figma)
-   [→ Figma vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-figma)
-   [→ Figma vs Cohere](https://jobsbyculture.com/compare/cohere-vs-figma)
-   [→ Figma vs Contentful](https://jobsbyculture.com/compare/contentful-vs-figma)
-   [→ Figma vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-figma)
-   [→ Figma vs Cresta](https://jobsbyculture.com/compare/cresta-vs-figma)
-   [→ Figma vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-figma)
-   [→ Figma vs Cursor](https://jobsbyculture.com/compare/cursor-vs-figma)
-   [→ Figma vs Databricks](https://jobsbyculture.com/compare/databricks-vs-figma)
-   [→ Figma vs Datadog](https://jobsbyculture.com/compare/datadog-vs-figma)
-   [→ Figma vs Decagon](https://jobsbyculture.com/compare/decagon-vs-figma)
-   [→ Figma vs DeepL](https://jobsbyculture.com/compare/deepl-vs-figma)
-   [→ Figma vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-figma)
-   [→ Figma vs Descript](https://jobsbyculture.com/compare/descript-vs-figma)
-   [→ Figma vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-figma)
-   [→ Figma vs Elastic](https://jobsbyculture.com/compare/elastic-vs-figma)
-   [→ Figma vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-figma)
-   [→ Figma vs canva](https://jobsbyculture.com/compare/figma-vs-canva)
-   [→ Figma vs Fireworks AI](https://jobsbyculture.com/compare/figma-vs-fireworksai)
-   [→ Figma vs GitLab](https://jobsbyculture.com/compare/figma-vs-gitlab)
-   [→ Figma vs Glean](https://jobsbyculture.com/compare/figma-vs-glean)
-   [→ Figma vs Grafana Labs](https://jobsbyculture.com/compare/figma-vs-grafanalabs)
-   [→ Figma vs Granola](https://jobsbyculture.com/compare/figma-vs-granola)
-   [→ Figma vs Harvey AI](https://jobsbyculture.com/compare/figma-vs-harvey)
-   [→ Figma vs Hebbia](https://jobsbyculture.com/compare/figma-vs-hebbia)
-   [→ Figma vs Helsing](https://jobsbyculture.com/compare/figma-vs-helsing)
-   [→ Figma vs HubSpot](https://jobsbyculture.com/compare/figma-vs-hubspot)
-   [→ Figma vs Hugging Face](https://jobsbyculture.com/compare/figma-vs-huggingface)
-   [→ Figma vs incident.io](https://jobsbyculture.com/compare/figma-vs-incidentio)
-   [→ Figma vs Labelbox](https://jobsbyculture.com/compare/figma-vs-labelbox)
-   [→ Figma vs Lambda](https://jobsbyculture.com/compare/figma-vs-lambda)
-   [→ Figma vs LangChain](https://jobsbyculture.com/compare/figma-vs-langchain)
-   [→ Figma vs Linear](https://jobsbyculture.com/compare/figma-vs-linear)
-   [→ Figma vs Lovable](https://jobsbyculture.com/compare/figma-vs-lovable)
-   [→ Figma vs Mercor](https://jobsbyculture.com/compare/figma-vs-mercor)
-   [→ Figma vs Mercury](https://jobsbyculture.com/compare/figma-vs-mercury)
-   [→ Figma vs Mistral AI](https://jobsbyculture.com/compare/figma-vs-mistral)
-   [→ Figma vs Modal](https://jobsbyculture.com/compare/figma-vs-modal)
-   [→ Figma vs MongoDB](https://jobsbyculture.com/compare/figma-vs-mongodb)
-   [→ Figma vs n8n](https://jobsbyculture.com/compare/figma-vs-n8n)
-   [→ Figma vs Navan](https://jobsbyculture.com/compare/figma-vs-navan)
-   [→ Figma vs Notion](https://jobsbyculture.com/compare/figma-vs-notion)
-   [→ Figma vs OpenAI](https://jobsbyculture.com/compare/figma-vs-openai)
-   [→ Figma vs Perplexity AI](https://jobsbyculture.com/compare/figma-vs-perplexity)
-   [→ Figma vs Pinecone](https://jobsbyculture.com/compare/figma-vs-pinecone)
-   [→ Figma vs Plaid](https://jobsbyculture.com/compare/figma-vs-plaid)
-   [→ Figma vs Poolside AI](https://jobsbyculture.com/compare/figma-vs-poolside)
-   [→ Figma vs PostHog](https://jobsbyculture.com/compare/figma-vs-posthog)
-   [→ Figma vs Pylon](https://jobsbyculture.com/compare/figma-vs-pylon)
-   [→ Figma vs Ramp](https://jobsbyculture.com/compare/figma-vs-ramp)
-   [→ Figma vs Replit](https://jobsbyculture.com/compare/figma-vs-replit)
-   [→ Figma vs Runway](https://jobsbyculture.com/compare/figma-vs-runway)
-   [→ Figma vs Samsara](https://jobsbyculture.com/compare/figma-vs-samsara)
-   [→ Figma vs Scale AI](https://jobsbyculture.com/compare/figma-vs-scale)
-   [→ Figma vs Sierra AI](https://jobsbyculture.com/compare/figma-vs-sierra)
-   [→ Figma vs Snowflake](https://jobsbyculture.com/compare/figma-vs-snowflake)
-   [→ Figma vs Stripe](https://jobsbyculture.com/compare/figma-vs-stripe)
-   [→ Figma vs Suno](https://jobsbyculture.com/compare/figma-vs-suno)
-   [→ Figma vs Supabase](https://jobsbyculture.com/compare/figma-vs-supabase)
-   [→ Figma vs Synthesia](https://jobsbyculture.com/compare/figma-vs-synthesia)
-   [→ Figma vs Tailscale](https://jobsbyculture.com/compare/figma-vs-tailscale)
-   [→ Figma vs Together AI](https://jobsbyculture.com/compare/figma-vs-together)
-   [→ Figma vs Twilio](https://jobsbyculture.com/compare/figma-vs-twilio)
-   [→ Figma vs Vanta](https://jobsbyculture.com/compare/figma-vs-vanta)
-   [→ Figma vs Vast AI](https://jobsbyculture.com/compare/figma-vs-vast)
-   [→ Figma vs Vercel](https://jobsbyculture.com/compare/figma-vs-vercel)
-   [→ Figma vs Wayve](https://jobsbyculture.com/compare/figma-vs-wayve)
-   [→ Figma vs Weaviate](https://jobsbyculture.com/compare/figma-vs-weaviate)
-   [→ Figma vs Webflow](https://jobsbyculture.com/compare/figma-vs-webflow)
-   [→ Figma vs Writer](https://jobsbyculture.com/compare/figma-vs-writer)
-   [→ Figma vs Linear](https://jobsbyculture.com/compare/linear-vs-figma)



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## Document: Figure AI Culture & Jobs | JobsByCulture

# Figure AI Culture & Jobs | JobsByCulture

> Figure AI engineering culture: 3.5 Glassdoor (estimated), humanoid robotics, strong equity. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/figureai
Markdown: https://jobsbyculture.com/companies/figureai.md
Last updated: 2026-07-14

---
![Figure AI logo](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

# Figure AI

Building the World's First Commercially Viable Autonomous Humanoid Robot

Frontier robotics with frontier intensity. Choose Figure AI if you want to build physical intelligence at the cutting edge — but expect startup hours and high expectations.

2022

Founded

Sunnyvale, CA

Headquarters

~600

Employees

~$39B

Valuation (Series C, Sep 2025)

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Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Figure AI

Figure AI, founded in 2022 by Brett Adcock, is building the world's most advanced humanoid robots, powered by custom AI models. The company has raised more than $1.75 billion across its rounds (including a $1B+ Series C in September 2025) and is valued at approximately $39 billion post-money — making it one of the most well-funded AI robotics companies in history. Partnerships with NVIDIA, Microsoft, and BMW underscore the company's ambitions.

The engineering culture is intense and fast-paced. With roughly 600 employees working on hardware, AI, and robotics simultaneously, the company attracts top talent from across disciplines. Reviews highlight competitive pay, great colleagues, and genuinely frontier work — but also flag long hours as a consistent downside.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Product Impact](https://jobsbyculture.com/values/product-impact) [Strong Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Figure AI Glassdoor Ratings & _Employee Reviews_

3.5

Overall Glassdoor Score

Based on 4 reviews (estimated — low confidence)

Culture & Values 3.9

Compensation & Benefits 3.9

Career Opportunities 3.8

Work-Life Balance 3.2

Overall Rating 3.5

73% Recommend to a Friend (estimated)

Based on 4 Glassdoor reviews (estimated — low confidence). Ratings may shift significantly as more reviews are submitted.

Employee Review Themes

## Working at Figure AI: _Pros & Cons_

### ✓ What employees love

-   ✓ Cutting-edge humanoid robotics — building something genuinely new at the frontier of AI and hardware
-   ✓ Competitive pay and strong equity packages ($1.75B+ raised, ~$39B post-money valuation)
-   ✓ High-profile partnerships with NVIDIA, Microsoft, and BMW
-   ✓ Great community and supportive colleagues across engineering disciplines

### ✗ What could be better

-   ✗ Long work hours — startup intensity is real and consistent across reviews
-   ✗ Polarized reviews — team-dependent experience quality
-   ✗ Work-life balance is a consistent concern (3.2/5 estimated)
-   ✗ Only 4 Glassdoor reviews — limited employee data to draw conclusions from

Engineering Culture

## How the _engineering_ team works

#### Domains

Humanoid Robotics AI / ML Computer Vision Mechanical Eng

#### Cross-Disciplinary

Hardware, software, and AI teams work tightly together to build autonomous humanoid robots. Engineers across mechanical, electrical, and ML disciplines collaborate daily.

#### Partnerships

Strategic partnerships with NVIDIA (compute), Microsoft (AI infrastructure), and BMW (manufacturing deployment) provide real-world validation and scale.

#### Pace & Ownership

Fast-moving startup with high ownership expectations. Engineers are expected to ship quickly and iterate on physical and digital systems simultaneously.

Open Positions

## Join the _Figure AI_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=figureai)

Explore More

## Related _content_

### Blog Posts

-   [→ Defense Tech Hiring Boom 2026: Anduril, Palantir & the $49B Talent War](https://jobsbyculture.com/blog/defense-tech-hiring-boom-2026)
-   [→ Figure AI in 2026: 619 Employees, $39B Valuation, Salary & Culture](https://jobsbyculture.com/blog/working-at-figureai-2026)



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## Document: Fireworks AI Culture & Jobs | JobsByCulture

# Fireworks AI Culture & Jobs | JobsByCulture

> Fireworks AI engineering culture: 4.2 Glassdoor (est.), fastest generative AI inference platform. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/fireworksai
Markdown: https://jobsbyculture.com/companies/fireworksai.md
Last updated: 2026-07-14

---
![Fireworks AI logo](https://www.google.com/s2/favicons?domain=fireworks.ai&sz=128)

# Fireworks AI

Fastest Generative AI Inference Platform — Optimized Speed & Cost for Open-Source LLMs

The consensus on Fireworks AI: Choose Fireworks AI if you want deep technical work on LLM inference optimization with world-class ex-Meta peers — but expect startup intensity and limited structure.

2022

Founded

Redwood City, CA

Headquarters

~100

Employees

4.2

Glassdoor (est.)

Free Work at Fireworks AI? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Fireworks AI

Founded in 2022 by Lin Qiao and a team of ex-Meta AI infrastructure engineers, Fireworks AI is building the fastest generative AI inference platform. The culture is deeply engineering-driven, with a small team of systems-level experts focused on squeezing every ounce of performance out of LLM serving. Expect a high-autonomy, many-hats environment where you ship fast and learn constantly — this is a team that optimizes GPU kernels before breakfast.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Many Hats](https://jobsbyculture.com/values/many-hats) [Deep Work](https://jobsbyculture.com/values/deep-work) [Learning](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Fireworks AI Glassdoor Ratings & _Employee Reviews_

4.2

Overall Glassdoor Score (est.)

Limited reviews — estimated based on available data

Culture & Values 4.3

Compensation & Benefits 2.8

Senior Management 4.2

Career Opportunities 4.0

Work-Life Balance 3.3

Overall Rating 4.2

CEO Approval: N/A (Lin Qiao — limited data)

Recommend: N/A (limited data)

Employee Review Themes

## Working at Fireworks AI: _Pros & Cons_

### ✓ What employees love

-   ✓ World-class team of ex-Meta AI infrastructure engineers — technically very strong peers
-   ✓ Working on LLM inference optimization which is one of the hottest areas in AI infrastructure

### ✗ What could be better

-   ✗ Early-stage startup intensity with long hours expected and high performance bar
-   ✗ Small team and rapidly evolving product means less structure, process, and career laddering

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python C++ CUDA PyTorch Kubernetes

#### Focus Area

LLM inference optimization, GPU kernel engineering, model serving at scale. The team builds infrastructure that serves billions of API calls with minimal latency.

#### Engineering Blog

Shares technical insights on inference optimization and model serving. [Read the blog →](https://fireworks.ai/blog?ref=jobsbyculture.com)

#### Team Structure

Small, flat team where engineers wear many hats. High ownership and autonomy. Founded by ex-Meta AI infrastructure leaders who built PyTorch infrastructure at scale.

Open Positions

## Join the _Fireworks AI_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=fireworksai)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ AI Employer Brand Benchmarks 2026: Median 4.2 Glassdoor, 3.8 WLB Across 118 Companies](https://jobsbyculture.com/blog/employer-brand-benchmarks-ai-2026)
-   [→ LLM Inference Optimization: The 5 Techniques That Cut Cost 5-10x and Latency 3-5x (2026)](https://jobsbyculture.com/blog/llm-inference-optimization-guide-2026)
-   [→ The Two-Speed Tech Job Market: AI Hiring Surges While Mid-Level Engineers Face a Reset (Q2 2026)](https://jobsbyculture.com/blog/tech-job-market-q2-2026)
-   [→ The Two-Speed Tech Hiring Market in 2026: AI vs Everything Else](https://jobsbyculture.com/blog/two-speed-tech-hiring-market-2026)

### Compare Fireworks AI

-   [→ Fireworks AI vs Abridge](https://jobsbyculture.com/compare/abridge-vs-fireworksai)
-   [→ Fireworks AI vs Adyen](https://jobsbyculture.com/compare/adyen-vs-fireworksai)
-   [→ Fireworks AI vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-fireworksai)
-   [→ Fireworks AI vs Airtable](https://jobsbyculture.com/compare/airtable-vs-fireworksai)
-   [→ Fireworks AI vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-fireworksai)
-   [→ Fireworks AI vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-fireworksai)
-   [→ Fireworks AI vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-fireworksai)
-   [→ Fireworks AI vs Asana](https://jobsbyculture.com/compare/asana-vs-fireworksai)
-   [→ Fireworks AI vs Baseten](https://jobsbyculture.com/compare/baseten-vs-fireworksai)
-   [→ Fireworks AI vs Brex](https://jobsbyculture.com/compare/brex-vs-fireworksai)
-   [→ Fireworks AI vs Celonis](https://jobsbyculture.com/compare/celonis-vs-fireworksai)
-   [→ Fireworks AI vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-fireworksai)
-   [→ Fireworks AI vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-fireworksai)
-   [→ Fireworks AI vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-fireworksai)
-   [→ Fireworks AI vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-fireworksai)
-   [→ Fireworks AI vs Cohere](https://jobsbyculture.com/compare/cohere-vs-fireworksai)
-   [→ Fireworks AI vs Contentful](https://jobsbyculture.com/compare/contentful-vs-fireworksai)
-   [→ Fireworks AI vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-fireworksai)
-   [→ Fireworks AI vs Cresta](https://jobsbyculture.com/compare/cresta-vs-fireworksai)
-   [→ Fireworks AI vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-fireworksai)
-   [→ Fireworks AI vs Cursor](https://jobsbyculture.com/compare/cursor-vs-fireworksai)
-   [→ Fireworks AI vs Databricks](https://jobsbyculture.com/compare/databricks-vs-fireworksai)
-   [→ Fireworks AI vs Datadog](https://jobsbyculture.com/compare/datadog-vs-fireworksai)
-   [→ Fireworks AI vs Decagon](https://jobsbyculture.com/compare/decagon-vs-fireworksai)
-   [→ Fireworks AI vs DeepL](https://jobsbyculture.com/compare/deepl-vs-fireworksai)
-   [→ Fireworks AI vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-fireworksai)
-   [→ Fireworks AI vs Descript](https://jobsbyculture.com/compare/descript-vs-fireworksai)
-   [→ Fireworks AI vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-fireworksai)
-   [→ Fireworks AI vs Elastic](https://jobsbyculture.com/compare/elastic-vs-fireworksai)
-   [→ Fireworks AI vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-fireworksai)
-   [→ Fireworks AI vs Figma](https://jobsbyculture.com/compare/figma-vs-fireworksai)
-   [→ Fireworks AI vs GitLab](https://jobsbyculture.com/compare/fireworksai-vs-gitlab)
-   [→ Fireworks AI vs Glean](https://jobsbyculture.com/compare/fireworksai-vs-glean)
-   [→ Fireworks AI vs Grafana Labs](https://jobsbyculture.com/compare/fireworksai-vs-grafanalabs)
-   [→ Fireworks AI vs Granola](https://jobsbyculture.com/compare/fireworksai-vs-granola)
-   [→ Fireworks AI vs Harvey AI](https://jobsbyculture.com/compare/fireworksai-vs-harvey)
-   [→ Fireworks AI vs Hebbia](https://jobsbyculture.com/compare/fireworksai-vs-hebbia)
-   [→ Fireworks AI vs Helsing](https://jobsbyculture.com/compare/fireworksai-vs-helsing)
-   [→ Fireworks AI vs HubSpot](https://jobsbyculture.com/compare/fireworksai-vs-hubspot)
-   [→ Fireworks AI vs Hugging Face](https://jobsbyculture.com/compare/fireworksai-vs-huggingface)
-   [→ Fireworks AI vs incident.io](https://jobsbyculture.com/compare/fireworksai-vs-incidentio)
-   [→ Fireworks AI vs Labelbox](https://jobsbyculture.com/compare/fireworksai-vs-labelbox)
-   [→ Fireworks AI vs Lambda](https://jobsbyculture.com/compare/fireworksai-vs-lambda)
-   [→ Fireworks AI vs LangChain](https://jobsbyculture.com/compare/fireworksai-vs-langchain)
-   [→ Fireworks AI vs Linear](https://jobsbyculture.com/compare/fireworksai-vs-linear)
-   [→ Fireworks AI vs Lovable](https://jobsbyculture.com/compare/fireworksai-vs-lovable)
-   [→ Fireworks AI vs Mercor](https://jobsbyculture.com/compare/fireworksai-vs-mercor)
-   [→ Fireworks AI vs Mercury](https://jobsbyculture.com/compare/fireworksai-vs-mercury)
-   [→ Fireworks AI vs Mistral AI](https://jobsbyculture.com/compare/fireworksai-vs-mistral)
-   [→ Fireworks AI vs Modal](https://jobsbyculture.com/compare/fireworksai-vs-modal)
-   [→ Fireworks AI vs MongoDB](https://jobsbyculture.com/compare/fireworksai-vs-mongodb)
-   [→ Fireworks AI vs n8n](https://jobsbyculture.com/compare/fireworksai-vs-n8n)
-   [→ Fireworks AI vs Navan](https://jobsbyculture.com/compare/fireworksai-vs-navan)
-   [→ Fireworks AI vs Notion](https://jobsbyculture.com/compare/fireworksai-vs-notion)
-   [→ Fireworks AI vs OpenAI](https://jobsbyculture.com/compare/fireworksai-vs-openai)
-   [→ Fireworks AI vs Perplexity AI](https://jobsbyculture.com/compare/fireworksai-vs-perplexity)
-   [→ Fireworks AI vs Pinecone](https://jobsbyculture.com/compare/fireworksai-vs-pinecone)
-   [→ Fireworks AI vs Plaid](https://jobsbyculture.com/compare/fireworksai-vs-plaid)
-   [→ Fireworks AI vs Poolside AI](https://jobsbyculture.com/compare/fireworksai-vs-poolside)
-   [→ Fireworks AI vs PostHog](https://jobsbyculture.com/compare/fireworksai-vs-posthog)
-   [→ Fireworks AI vs Pylon](https://jobsbyculture.com/compare/fireworksai-vs-pylon)
-   [→ Fireworks AI vs Ramp](https://jobsbyculture.com/compare/fireworksai-vs-ramp)
-   [→ Fireworks AI vs Replit](https://jobsbyculture.com/compare/fireworksai-vs-replit)
-   [→ Fireworks AI vs Runway](https://jobsbyculture.com/compare/fireworksai-vs-runway)
-   [→ Fireworks AI vs Samsara](https://jobsbyculture.com/compare/fireworksai-vs-samsara)
-   [→ Fireworks AI vs Scale AI](https://jobsbyculture.com/compare/fireworksai-vs-scale)
-   [→ Fireworks AI vs Sierra AI](https://jobsbyculture.com/compare/fireworksai-vs-sierra)
-   [→ Fireworks AI vs Snowflake](https://jobsbyculture.com/compare/fireworksai-vs-snowflake)
-   [→ Fireworks AI vs Stripe](https://jobsbyculture.com/compare/fireworksai-vs-stripe)
-   [→ Fireworks AI vs Suno](https://jobsbyculture.com/compare/fireworksai-vs-suno)
-   [→ Fireworks AI vs Supabase](https://jobsbyculture.com/compare/fireworksai-vs-supabase)
-   [→ Fireworks AI vs Synthesia](https://jobsbyculture.com/compare/fireworksai-vs-synthesia)
-   [→ Fireworks AI vs Tailscale](https://jobsbyculture.com/compare/fireworksai-vs-tailscale)
-   [→ Fireworks AI vs Together AI](https://jobsbyculture.com/compare/fireworksai-vs-together)
-   [→ Fireworks AI vs Twilio](https://jobsbyculture.com/compare/fireworksai-vs-twilio)
-   [→ Fireworks AI vs Vanta](https://jobsbyculture.com/compare/fireworksai-vs-vanta)
-   [→ Fireworks AI vs Vast AI](https://jobsbyculture.com/compare/fireworksai-vs-vast)
-   [→ Fireworks AI vs Vercel](https://jobsbyculture.com/compare/fireworksai-vs-vercel)
-   [→ Fireworks AI vs Wayve](https://jobsbyculture.com/compare/fireworksai-vs-wayve)
-   [→ Fireworks AI vs Weaviate](https://jobsbyculture.com/compare/fireworksai-vs-weaviate)
-   [→ Fireworks AI vs Webflow](https://jobsbyculture.com/compare/fireworksai-vs-webflow)
-   [→ Fireworks AI vs Writer](https://jobsbyculture.com/compare/fireworksai-vs-writer)



🏢

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## Document: Flexport Glassdoor, Culture & Careers 2026 | JobsByCulture

# Flexport Glassdoor, Culture & Careers 2026 | JobsByCulture

> Flexport company profile: 3.5 Glassdoor, ~750 employees, global trade logistics platform. Work-life balance, culture reviews, and open careers at Flexport.

Source: https://jobsbyculture.com/companies/flexport
Markdown: https://jobsbyculture.com/companies/flexport.md
Last updated: 2026-07-14

---
![Flexport logo](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

# Flexport

Global Trade & Logistics Platform — The Operating System for World Trade

The consensus on Flexport: entrepreneurial, cross-functional team building the OS for global trade — but be prepared for organizational turbulence following multiple rounds of layoffs and a return-to-office shift.

2013

Founded

San Francisco

Headquarters

~750

Employees

3.5 / 5

Glassdoor

Free Work at Flexport? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Flexport

Founded in 2013 by Ryan Petersen, Flexport is building the operating system for global trade — digitizing the complex world of freight forwarding, customs, and supply chain. The culture is entrepreneurial and cross-functional, with an emphasis on moving fast. Employees praise the intelligent, motivated colleagues and the real-world complexity of the domain. However, the company has gone through multiple rounds of layoffs since 2023 (~20% in January 2023, another ~20% in October 2023 after Ryan Petersen's return as CEO), and engineering teams report limited budget for innovation.

[Ship Fast](https://jobsbyculture.com/values/ship-fast) [Product Impact](https://jobsbyculture.com/values/product-impact) [Learning & Growth](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Flexport Glassdoor Ratings & _Employee Reviews_

3.5

Overall Glassdoor Score

Based on 1,164+ reviews

Culture & Values 3.6

Work-Life Balance 3.6

Career Opportunities 3.6

Overall Rating 3.5

64% Recommend to a Friend

Employee Review Themes

## Working at Flexport: _Pros & Cons_

### ✓ What employees love

-   ✓ Entrepreneurial culture with motivated, intelligent, and hardworking colleagues
-   ✓ Cross-functional, global collaboration on genuinely complex logistics problems
-   ✓ Real product impact — building the OS for global trade affects entire supply chains
-   ✓ Competitive pay-to-effort ratio compared to the demands of the role

### ✗ What could be better

-   ✗ Multiple rounds of large layoffs since 2023 (~20% in Jan 2023, ~20% in Oct 2023) — significant job security concerns
-   ✗ Top-down decision making; engineering deadlines not based on engineering input
-   ✗ Increased in-office expectations following CEO Ryan Petersen's return — check current policy before applying
-   ✗ Teams reduced to bare minimum with limited budget for innovation

Engineering Culture

## How the _engineering_ team works

#### Domain

Global freight forwarding, customs brokerage, trade financing, and supply chain visibility. Complex logistics problems at global scale.

#### Culture

Entrepreneurial, cross-functional teams. Engineers praised for working alongside motivated colleagues, though engineering headcount has been reduced significantly since 2022.

#### Office Policy

In-office expectations have increased since Ryan Petersen returned as CEO in 2023. Not a remote-first company — verify current policy before applying if remote work is important to you.

#### Pace

Fast-moving with an emphasis on efficiency. Reviews mention demanding deadlines and reduced team sizes, meaning individuals carry significant workloads.

Open Positions

## Join the _Flexport_ team

Explore all open roles at Flexport below.

🌐 Remote

✕ Clear

[Browse all Flexport jobs →](https://jobsbyculture.com/jobs?company=flexport)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ Best AI & Tech Companies for Engineers in 2026](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)

### Compare Flexport

-   [→ Browse all company profiles](https://jobsbyculture.com/companies)
-   [→ Ship-Fast companies hiring now](https://jobsbyculture.com/jobs?value=ship-fast)
-   [→ Product-Impact companies hiring now](https://jobsbyculture.com/jobs?value=product-impact)
-   [→ Engineering-Driven companies hiring now](https://jobsbyculture.com/jobs?value=eng-driven)



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## Document: GitLab Glassdoor, Culture & Careers 2026 | JobsByCulture

# GitLab Glassdoor, Culture & Careers 2026 | JobsByCulture

> GitLab company profile: 3.9 Glassdoor, ~2,500 employees, $120k–$350k comp. Work-life balance, culture reviews, and open careers at the all-remote DevSecOps leader.

Source: https://jobsbyculture.com/companies/gitlab
Markdown: https://jobsbyculture.com/companies/gitlab.md
Last updated: 2026-07-14

---
![GitLab logo](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

# GitLab

The World's Largest All-Remote Company — Leading DevSecOps Platform

The world's largest all-remote company and the leading DevSecOps platform. Open-core model with a public handbook and radical transparency.

2011

Founded

All-Remote

0 Offices

~3,400

Employees

NYSE: GTLB

Public Company

Free Work at GitLab? Claim this profile

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Culture Overview

## What it's _really_ like to work at GitLab

Founded in 2011 by Sid Sijbrandij and Dmitriy Zaporozhets, GitLab pioneered the all-remote company model long before the pandemic. Bill Staples took over as CEO in December 2024 (with Sijbrandij moving to Executive Chair). With ~3,400 team members in 65+ countries and zero offices, GitLab's culture is defined by radical transparency (their entire company handbook is public), async-first communication, and a genuine commitment to work-life balance. The open-core model means the product itself reflects the company's values of openness and collaboration.

[Remote](https://jobsbyculture.com/values/remote) [Async](https://jobsbyculture.com/values/async) [Transparent](https://jobsbyculture.com/values/transparent) [Open-Source](https://jobsbyculture.com/values/open-source) [Work-Life Balance](https://jobsbyculture.com/values/wlb)

Glassdoor Ratings

## GitLab Glassdoor Ratings & _Employee Reviews_

3.9

Overall Glassdoor Score

Based on 700+ reviews

Culture & Values 3.6

Work-Life Balance 3.9

Compensation & Benefits 3.7

Career Opportunities 3.4

Senior Management 3.3

Overall Rating 3.9

70% Recommend to a Friend

~66% CEO Approval

Employee Review Themes

## Working at GitLab: _Pros & Cons_

### ✓ What employees love

-   ✓ Best-in-class all-remote culture — async-first with real flexibility for parents and global workers
-   ✓ Radically transparent — public handbook, open compensation calculator, open processes
-   ✓ Core product is open-source with a massive developer community
-   ✓ Great work-life balance for a public tech company — flexibility is genuine, not performative

### ✗ What could be better

-   ✗ Revenue org can feel chaotic — quota changes and restructuring have impacted morale
-   ✗ Some C-suite leadership turnover and instability in recent years
-   ✗ Career growth opportunities rated lower at 3.4/5 — limited advancement paths
-   ✗ Company culture scores have declined ~5% over the past year

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Ruby on Rails Go Vue.js PostgreSQL

#### Product

GitLab — the complete DevSecOps platform. Plan, build, secure, and deploy software from a single application. Used by 30M+ developers.

#### Open Source

GitLab CE is open-source. The company handbook with 2,000+ pages is public. Contributions welcome from the community. [View Handbook →](https://about.gitlab.com/handbook/?ref=jobsbyculture.com)

#### Team Structure

All-remote across 65+ countries. Async-first with minimal meetings. Engineers organized into product groups with clear DRI (Directly Responsible Individual) ownership.

Open Positions

## Join the _GitLab_ team

Explore open roles at GitLab below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=gitlab)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Engineer Salary Guide 2026: What Companies Actually Pay by Level](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026)
-   [→ Building a Career in Developer Tools in 2026: Why DevTools Is Where the Best Engineers Go](https://jobsbyculture.com/blog/building-career-in-devtools-2026)
-   [→ Building an Engineering Culture Page That Actually Converts (2026)](https://jobsbyculture.com/blog/building-engineering-culture-page-that-converts-2026)
-   [→ Databricks Remote Work Policy 2026: Hybrid-First With Strict RTO (Real Data)](https://jobsbyculture.com/blog/databricks-remote-work-policy-2026)
-   [→ Dropbox Salary 2026: $179K–$692K TC, RSU Vesting & How It Compares](https://jobsbyculture.com/blog/dropbox-compensation-2026)

### Compare GitLab

-   [→ GitLab vs Abridge](https://jobsbyculture.com/compare/abridge-vs-gitlab)
-   [→ GitLab vs Adyen](https://jobsbyculture.com/compare/adyen-vs-gitlab)
-   [→ GitLab vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-gitlab)
-   [→ GitLab vs Airtable](https://jobsbyculture.com/compare/airtable-vs-gitlab)
-   [→ GitLab vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-gitlab)
-   [→ GitLab vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-gitlab)
-   [→ GitLab vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-gitlab)
-   [→ GitLab vs Asana](https://jobsbyculture.com/compare/asana-vs-gitlab)
-   [→ GitLab vs Baseten](https://jobsbyculture.com/compare/baseten-vs-gitlab)
-   [→ GitLab vs Brex](https://jobsbyculture.com/compare/brex-vs-gitlab)
-   [→ GitLab vs Celonis](https://jobsbyculture.com/compare/celonis-vs-gitlab)
-   [→ GitLab vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-gitlab)
-   [→ GitLab vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-gitlab)
-   [→ GitLab vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-gitlab)
-   [→ GitLab vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-gitlab)
-   [→ GitLab vs Cohere](https://jobsbyculture.com/compare/cohere-vs-gitlab)
-   [→ GitLab vs Contentful](https://jobsbyculture.com/compare/contentful-vs-gitlab)
-   [→ GitLab vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-gitlab)
-   [→ GitLab vs Cresta](https://jobsbyculture.com/compare/cresta-vs-gitlab)
-   [→ GitLab vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-gitlab)
-   [→ GitLab vs Cursor](https://jobsbyculture.com/compare/cursor-vs-gitlab)
-   [→ GitLab vs Databricks](https://jobsbyculture.com/compare/databricks-vs-gitlab)
-   [→ GitLab vs Datadog](https://jobsbyculture.com/compare/datadog-vs-gitlab)
-   [→ GitLab vs Decagon](https://jobsbyculture.com/compare/decagon-vs-gitlab)
-   [→ GitLab vs DeepL](https://jobsbyculture.com/compare/deepl-vs-gitlab)
-   [→ GitLab vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-gitlab)
-   [→ GitLab vs Descript](https://jobsbyculture.com/compare/descript-vs-gitlab)
-   [→ GitLab vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-gitlab)
-   [→ GitLab vs Elastic](https://jobsbyculture.com/compare/elastic-vs-gitlab)
-   [→ GitLab vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-gitlab)
-   [→ GitLab vs Figma](https://jobsbyculture.com/compare/figma-vs-gitlab)
-   [→ GitLab vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-gitlab)
-   [→ GitLab vs Glean](https://jobsbyculture.com/compare/gitlab-vs-glean)
-   [→ GitLab vs Grafana Labs](https://jobsbyculture.com/compare/gitlab-vs-grafanalabs)
-   [→ GitLab vs Granola](https://jobsbyculture.com/compare/gitlab-vs-granola)
-   [→ GitLab vs Harvey AI](https://jobsbyculture.com/compare/gitlab-vs-harvey)
-   [→ GitLab vs Hebbia](https://jobsbyculture.com/compare/gitlab-vs-hebbia)
-   [→ GitLab vs Helsing](https://jobsbyculture.com/compare/gitlab-vs-helsing)
-   [→ GitLab vs HubSpot](https://jobsbyculture.com/compare/gitlab-vs-hubspot)
-   [→ GitLab vs Hugging Face](https://jobsbyculture.com/compare/gitlab-vs-huggingface)
-   [→ GitLab vs incident.io](https://jobsbyculture.com/compare/gitlab-vs-incidentio)
-   [→ GitLab vs Labelbox](https://jobsbyculture.com/compare/gitlab-vs-labelbox)
-   [→ GitLab vs Lambda](https://jobsbyculture.com/compare/gitlab-vs-lambda)
-   [→ GitLab vs LangChain](https://jobsbyculture.com/compare/gitlab-vs-langchain)
-   [→ GitLab vs Linear](https://jobsbyculture.com/compare/gitlab-vs-linear)
-   [→ GitLab vs Lovable](https://jobsbyculture.com/compare/gitlab-vs-lovable)
-   [→ GitLab vs Mercor](https://jobsbyculture.com/compare/gitlab-vs-mercor)
-   [→ GitLab vs Mercury](https://jobsbyculture.com/compare/gitlab-vs-mercury)
-   [→ GitLab vs Mistral AI](https://jobsbyculture.com/compare/gitlab-vs-mistral)
-   [→ GitLab vs Modal](https://jobsbyculture.com/compare/gitlab-vs-modal)
-   [→ GitLab vs MongoDB](https://jobsbyculture.com/compare/gitlab-vs-mongodb)
-   [→ GitLab vs n8n](https://jobsbyculture.com/compare/gitlab-vs-n8n)
-   [→ GitLab vs Navan](https://jobsbyculture.com/compare/gitlab-vs-navan)
-   [→ GitLab vs Notion](https://jobsbyculture.com/compare/gitlab-vs-notion)
-   [→ GitLab vs OpenAI](https://jobsbyculture.com/compare/gitlab-vs-openai)
-   [→ GitLab vs Perplexity AI](https://jobsbyculture.com/compare/gitlab-vs-perplexity)
-   [→ GitLab vs Pinecone](https://jobsbyculture.com/compare/gitlab-vs-pinecone)
-   [→ GitLab vs Plaid](https://jobsbyculture.com/compare/gitlab-vs-plaid)
-   [→ GitLab vs Poolside AI](https://jobsbyculture.com/compare/gitlab-vs-poolside)
-   [→ GitLab vs PostHog](https://jobsbyculture.com/compare/gitlab-vs-posthog)
-   [→ GitLab vs Pylon](https://jobsbyculture.com/compare/gitlab-vs-pylon)
-   [→ GitLab vs Ramp](https://jobsbyculture.com/compare/gitlab-vs-ramp)
-   [→ GitLab vs Replit](https://jobsbyculture.com/compare/gitlab-vs-replit)
-   [→ GitLab vs Runway](https://jobsbyculture.com/compare/gitlab-vs-runway)
-   [→ GitLab vs Samsara](https://jobsbyculture.com/compare/gitlab-vs-samsara)
-   [→ GitLab vs Scale AI](https://jobsbyculture.com/compare/gitlab-vs-scale)
-   [→ GitLab vs Sierra AI](https://jobsbyculture.com/compare/gitlab-vs-sierra)
-   [→ GitLab vs Snowflake](https://jobsbyculture.com/compare/gitlab-vs-snowflake)
-   [→ GitLab vs Stripe](https://jobsbyculture.com/compare/gitlab-vs-stripe)
-   [→ GitLab vs Suno](https://jobsbyculture.com/compare/gitlab-vs-suno)
-   [→ GitLab vs Supabase](https://jobsbyculture.com/compare/gitlab-vs-supabase)
-   [→ GitLab vs Synthesia](https://jobsbyculture.com/compare/gitlab-vs-synthesia)
-   [→ GitLab vs Tailscale](https://jobsbyculture.com/compare/gitlab-vs-tailscale)
-   [→ GitLab vs Together AI](https://jobsbyculture.com/compare/gitlab-vs-together)
-   [→ GitLab vs Twilio](https://jobsbyculture.com/compare/gitlab-vs-twilio)
-   [→ GitLab vs Vanta](https://jobsbyculture.com/compare/gitlab-vs-vanta)
-   [→ GitLab vs Vast AI](https://jobsbyculture.com/compare/gitlab-vs-vast)
-   [→ GitLab vs Vercel](https://jobsbyculture.com/compare/gitlab-vs-vercel)
-   [→ GitLab vs Wayve](https://jobsbyculture.com/compare/gitlab-vs-wayve)
-   [→ GitLab vs Weaviate](https://jobsbyculture.com/compare/gitlab-vs-weaviate)
-   [→ GitLab vs Webflow](https://jobsbyculture.com/compare/gitlab-vs-webflow)
-   [→ GitLab vs Writer](https://jobsbyculture.com/compare/gitlab-vs-writer)



🏢

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## Document: Glean Culture & Jobs | JobsByCulture

# Glean Culture & Jobs | JobsByCulture

> Glean engineering culture: 3.8 Glassdoor, 3.8 WLB, AI enterprise search by ex-Google leaders. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/glean
Markdown: https://jobsbyculture.com/companies/glean.md
Last updated: 2026-07-14

---
![Glean logo](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

# Glean

AI Enterprise Search — Work Knowledge at Your Fingertips

The consensus on Glean: Top-tier AI engineering talent and explosive growth, but comp lags peers and the sales org has churn problems — the engineering side is the real draw.

2019

Founded

Palo Alto

Headquarters

~1,625

Employees

$7.2B

Valuation

Free Work at Glean? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Glean

Glean is building AI-powered enterprise search, founded by Arvind Jain (ex-Google, who led the team behind Google Desktop Search). The engineering culture is the real draw — world-class AI talent working on cutting-edge search and retrieval problems. The company is transparent and collaborative with strong career growth on the engineering side. However, compensation lags peers (rated 3.6/5) and the sales organization has churn and toxicity problems that the company is working to address.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Learning](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Transparent](https://jobsbyculture.com/values/transparent)

Glassdoor Ratings

## Glean Glassdoor Ratings & _Employee Reviews_

3.8

Overall Glassdoor Score

Based on 93 employee reviews

Culture & Values4.3

Compensation & Benefits3.6

Senior Management4.0

Career Opportunities4.0

Work-Life Balance3.8

Overall Rating3.8

84% Recommend to a Friend

88% CEO Approval (Arvind Jain)

Employee Review Themes

## Working at Glean: _Pros & Cons_

### ✓ What employees love

-   ✓World-class AI talent — learn from ex-Google leadership on cutting-edge enterprise search
-   ✓Transparent collaborative culture with strong career growth
-   ✓Explosive growth trajectory with strong equity upside potential

### ✗ What could be better

-   ✗Below-market compensation — comp rated only 3.6/5
-   ✗Sales org has high churn and toxicity problems in EMEA and US
-   ✗Rapid scaling brings growing pains and process gaps

Open Positions

## Join the _Glean_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=glean)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Agents Are Replacing SaaS — What It Means for Tech Careers in 2026](https://jobsbyculture.com/blog/ai-agents-replacing-saas-2026)
-   [→ 50+ AI Engineer Interview Questions in 2026 (Real Questions, Honest Answers)](https://jobsbyculture.com/blog/ai-engineer-interview-questions-2026)
-   [→ AI Layoffs 2026: 61,000+ Jobs Cut — Who's Actually Hiring](https://jobsbyculture.com/blog/ai-layoffs-2026-who-is-hiring)
-   [→ Cohere Glassdoor Reviews Decoded 2026: What 33 Employees Really Say](https://jobsbyculture.com/blog/cohere-glassdoor-reviews-2026)
-   [→ Forward Deployed Engineer: The Fastest-Growing AI Role in 2026 — What It Is, What It Pays, Who's Hiring](https://jobsbyculture.com/blog/forward-deployed-engineer-boom-2026)

### Compare Glean

-   [→ Glean vs Abridge](https://jobsbyculture.com/compare/abridge-vs-glean)
-   [→ Glean vs Adyen](https://jobsbyculture.com/compare/adyen-vs-glean)
-   [→ Glean vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-glean)
-   [→ Glean vs Airtable](https://jobsbyculture.com/compare/airtable-vs-glean)
-   [→ Glean vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-glean)
-   [→ Glean vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-glean)
-   [→ Glean vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-glean)
-   [→ Glean vs Asana](https://jobsbyculture.com/compare/asana-vs-glean)
-   [→ Glean vs Baseten](https://jobsbyculture.com/compare/baseten-vs-glean)
-   [→ Glean vs Brex](https://jobsbyculture.com/compare/brex-vs-glean)
-   [→ Glean vs Celonis](https://jobsbyculture.com/compare/celonis-vs-glean)
-   [→ Glean vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-glean)
-   [→ Glean vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-glean)
-   [→ Glean vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-glean)
-   [→ Glean vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-glean)
-   [→ Glean vs Cohere](https://jobsbyculture.com/compare/cohere-vs-glean)
-   [→ Glean vs Contentful](https://jobsbyculture.com/compare/contentful-vs-glean)
-   [→ Glean vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-glean)
-   [→ Glean vs Cresta](https://jobsbyculture.com/compare/cresta-vs-glean)
-   [→ Glean vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-glean)
-   [→ Glean vs Cursor](https://jobsbyculture.com/compare/cursor-vs-glean)
-   [→ Glean vs Databricks](https://jobsbyculture.com/compare/databricks-vs-glean)
-   [→ Glean vs Datadog](https://jobsbyculture.com/compare/datadog-vs-glean)
-   [→ Glean vs Decagon](https://jobsbyculture.com/compare/decagon-vs-glean)
-   [→ Glean vs DeepL](https://jobsbyculture.com/compare/deepl-vs-glean)
-   [→ Glean vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-glean)
-   [→ Glean vs Descript](https://jobsbyculture.com/compare/descript-vs-glean)
-   [→ Glean vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-glean)
-   [→ Glean vs Elastic](https://jobsbyculture.com/compare/elastic-vs-glean)
-   [→ Glean vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-glean)
-   [→ Glean vs Figma](https://jobsbyculture.com/compare/figma-vs-glean)
-   [→ Glean vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-glean)
-   [→ Glean vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-glean)
-   [→ Glean vs Grafana Labs](https://jobsbyculture.com/compare/glean-vs-grafanalabs)
-   [→ Glean vs Granola](https://jobsbyculture.com/compare/glean-vs-granola)
-   [→ Glean vs Harvey AI](https://jobsbyculture.com/compare/glean-vs-harvey)
-   [→ Glean vs Hebbia](https://jobsbyculture.com/compare/glean-vs-hebbia)
-   [→ Glean vs Helsing](https://jobsbyculture.com/compare/glean-vs-helsing)
-   [→ Glean vs HubSpot](https://jobsbyculture.com/compare/glean-vs-hubspot)
-   [→ Glean vs Hugging Face](https://jobsbyculture.com/compare/glean-vs-huggingface)
-   [→ Glean vs incident.io](https://jobsbyculture.com/compare/glean-vs-incidentio)
-   [→ Glean vs Labelbox](https://jobsbyculture.com/compare/glean-vs-labelbox)
-   [→ Glean vs Lambda](https://jobsbyculture.com/compare/glean-vs-lambda)
-   [→ Glean vs LangChain](https://jobsbyculture.com/compare/glean-vs-langchain)
-   [→ Glean vs Linear](https://jobsbyculture.com/compare/glean-vs-linear)
-   [→ Glean vs Lovable](https://jobsbyculture.com/compare/glean-vs-lovable)
-   [→ Glean vs Mercor](https://jobsbyculture.com/compare/glean-vs-mercor)
-   [→ Glean vs Mercury](https://jobsbyculture.com/compare/glean-vs-mercury)
-   [→ Glean vs Mistral AI](https://jobsbyculture.com/compare/glean-vs-mistral)
-   [→ Glean vs Modal](https://jobsbyculture.com/compare/glean-vs-modal)
-   [→ Glean vs MongoDB](https://jobsbyculture.com/compare/glean-vs-mongodb)
-   [→ Glean vs n8n](https://jobsbyculture.com/compare/glean-vs-n8n)
-   [→ Glean vs Navan](https://jobsbyculture.com/compare/glean-vs-navan)
-   [→ Glean vs Notion](https://jobsbyculture.com/compare/glean-vs-notion)
-   [→ Glean vs OpenAI](https://jobsbyculture.com/compare/glean-vs-openai)
-   [→ Glean vs Perplexity AI](https://jobsbyculture.com/compare/glean-vs-perplexity)
-   [→ Glean vs Pinecone](https://jobsbyculture.com/compare/glean-vs-pinecone)
-   [→ Glean vs Plaid](https://jobsbyculture.com/compare/glean-vs-plaid)
-   [→ Glean vs Poolside AI](https://jobsbyculture.com/compare/glean-vs-poolside)
-   [→ Glean vs PostHog](https://jobsbyculture.com/compare/glean-vs-posthog)
-   [→ Glean vs Pylon](https://jobsbyculture.com/compare/glean-vs-pylon)
-   [→ Glean vs Ramp](https://jobsbyculture.com/compare/glean-vs-ramp)
-   [→ Glean vs Replit](https://jobsbyculture.com/compare/glean-vs-replit)
-   [→ Glean vs Runway](https://jobsbyculture.com/compare/glean-vs-runway)
-   [→ Glean vs Samsara](https://jobsbyculture.com/compare/glean-vs-samsara)
-   [→ Glean vs Scale AI](https://jobsbyculture.com/compare/glean-vs-scale)
-   [→ Glean vs Sierra AI](https://jobsbyculture.com/compare/glean-vs-sierra)
-   [→ Glean vs Snowflake](https://jobsbyculture.com/compare/glean-vs-snowflake)
-   [→ Glean vs Stripe](https://jobsbyculture.com/compare/glean-vs-stripe)
-   [→ Glean vs Suno](https://jobsbyculture.com/compare/glean-vs-suno)
-   [→ Glean vs Supabase](https://jobsbyculture.com/compare/glean-vs-supabase)
-   [→ Glean vs Synthesia](https://jobsbyculture.com/compare/glean-vs-synthesia)
-   [→ Glean vs Tailscale](https://jobsbyculture.com/compare/glean-vs-tailscale)
-   [→ Glean vs Together AI](https://jobsbyculture.com/compare/glean-vs-together)
-   [→ Glean vs Twilio](https://jobsbyculture.com/compare/glean-vs-twilio)
-   [→ Glean vs Vanta](https://jobsbyculture.com/compare/glean-vs-vanta)
-   [→ Glean vs Vast AI](https://jobsbyculture.com/compare/glean-vs-vast)
-   [→ Glean vs Vercel](https://jobsbyculture.com/compare/glean-vs-vercel)
-   [→ Glean vs Wayve](https://jobsbyculture.com/compare/glean-vs-wayve)
-   [→ Glean vs Weaviate](https://jobsbyculture.com/compare/glean-vs-weaviate)
-   [→ Glean vs Webflow](https://jobsbyculture.com/compare/glean-vs-webflow)
-   [→ Glean vs Writer](https://jobsbyculture.com/compare/glean-vs-writer)

🏢

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## Document: Goodfire Culture & Jobs | JobsByCulture

# Goodfire Culture & Jobs | JobsByCulture

> Goodfire engineering culture: AI interpretability research lab, ~51 employees, $1.25B valuation. See open roles and culture profile.

Source: https://jobsbyculture.com/companies/goodfire
Markdown: https://jobsbyculture.com/companies/goodfire.md
Last updated: 2026-07-14

---
![Goodfire logo](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

# Goodfire

AI Interpretability Research Lab — Reverse-Engineering Neural Networks to Make AI Safe and Controllable

Frontier AI safety research with world-class pedigree. Choose Goodfire if you want to work on mechanistic interpretability alongside researchers from the top AI labs — but go in knowing it's early-stage with all that entails.

2023

Founded

San Francisco

Headquarters

~51

Employees

$1.25B

Valuation (2026)

Free Work at Goodfire? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Goodfire

Goodfire is a San Francisco-based AI research lab and public benefit corporation focused on mechanistic interpretability — understanding how neural networks actually work at a fundamental level. Founded in 2023 by Eric Ho, Dan Balsam, and Tom McGrath (formerly of DeepMind's interpretability team), the company has raised $207M including a $150M Series B at a $1.25B valuation in February 2026.

The team of ~51 includes researchers from OpenAI, DeepMind, Harvard, and Stanford. Anthropic is both an investor and a validation of Goodfire's mission — making AI systems understandable and controllable. As a public benefit corporation, the mission isn't just marketing — it's legally embedded in the company structure.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ethical AI](https://jobsbyculture.com/values/ethical-ai) [Many Hats](https://jobsbyculture.com/values/many-hats) [Product Impact](https://jobsbyculture.com/values/product-impact)

Estimated Ratings

## Goodfire Estimated Ratings & _Culture Assessment_

Limited data

Glassdoor reviews not yet available — we'll update as employee feedback accumulates.

Estimated Overall Score

No Glassdoor reviews available (estimated ratings)

Overall Rating N/A

Work-Life Balance N/A

Goodfire has no Glassdoor reviews yet. Ratings above are estimated based on company stage, funding, and comparable AI research labs. We'll update this section when real employee reviews become available.

Culture Assessment

## Working at Goodfire: _Pros & Cons_

### ✓ What stands out

-   ✓ World-class research team — ex-OpenAI, DeepMind, Harvard, Stanford
-   ✓ Frontier AI interpretability work — making neural networks understandable
-   ✓ Public benefit corporation — mission-driven by design, not just marketing
-   ✓ $207M raised with Anthropic as an investor — strong validation and runway

### ✗ What to consider

-   ✗ Very early stage (~51 people) — expect rapid change and ambiguity
-   ✗ No Glassdoor reviews yet — limited visibility into employee experience
-   ✗ Interpretability is a niche field — may limit career mobility outside the space
-   ✗ San Francisco only — no remote roles mentioned

Research & Engineering Culture

## How the _research_ team works

#### Research Focus

Interpretability Mechanistic Analysis AI Safety

#### Team Background

Researchers from OpenAI, DeepMind, Harvard, and Stanford. Chief Scientist Tom McGrath led interpretability research at DeepMind before co-founding Goodfire.

#### Company Structure

Public benefit corporation — safety mission is legally embedded. Small team of ~51 with flat structure and high individual ownership across research and engineering.

#### Funding & Backing

$207M total funding: $7M seed (Lightspeed), $50M Series A (Menlo + Anthropic), $150M Series B (B Capital). Valued at $1.25B as of February 2026.

Open Positions

## Join the _Goodfire_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=goodfire)

Explore More

## Related _content_

### Similar Companies

-   [→ Anthropic](https://jobsbyculture.com/companies/anthropic)
-   [→ OpenAI](https://jobsbyculture.com/companies/openai)
-   [→ DeepMind](https://jobsbyculture.com/companies/deepmind)
-   [→ Cohere](https://jobsbyculture.com/companies/cohere)
-   [→ Mistral AI](https://jobsbyculture.com/companies/mistral)

### Browse by Culture

-   [→ Ethical AI Companies](https://jobsbyculture.com/values/ethical-ai)
-   [→ Engineering-Driven Companies](https://jobsbyculture.com/values/eng-driven)
-   [→ Many Hats Companies](https://jobsbyculture.com/values/many-hats)
-   [→ Product Impact Companies](https://jobsbyculture.com/values/product-impact)



🏢

### Claim _Goodfire_

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We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Grafana Labs Culture & Jobs | JobsByCulture

# Grafana Labs Culture & Jobs | JobsByCulture

> Grafana Labs engineering culture: 4.1 Glassdoor, fully remote, open-source observability. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/grafanalabs
Markdown: https://jobsbyculture.com/companies/grafanalabs.md
Last updated: 2026-07-14

---
![Grafana Labs logo](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

# Grafana Labs

Open-Source Observability Platform — Metrics, Logs, and Traces for Every Engineer

The consensus on Grafana Labs: Choose Grafana Labs if you want deep open-source impact, fully remote flexibility, and excellent WLB — but expect limited career progression paths above staff level.

2014

Founded

New York

HQ (Fully Remote)

~1,800

Employees

$9B

Valuation (2026)

Free Work at Grafana Labs? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Grafana Labs

Founded in 2014 by Raj Dutt, Torkel Ödegaard, and Anthony Woods, Grafana Labs is the company behind Grafana, Loki, Tempo, and Mimir — the open-source observability stack used by millions of engineers worldwide. As a 100% remote company with no physical offices, Grafana Labs has teams across 40+ countries operating async-first. The culture is deeply engineering-driven with strong open-source values — engineers contribute to projects with millions of community users. Expect generous PTO (~30 days), mandatory shutdown days, and a collaborative environment where talented engineers work on tools that define modern observability.

[Open Source](https://jobsbyculture.com/values/open-source) [Remote-First](https://jobsbyculture.com/values/remote) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Transparent](https://jobsbyculture.com/values/transparent) [Work-Life Balance](https://jobsbyculture.com/values/wlb) [Learning & Growth](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Grafana Labs Glassdoor Ratings & _Employee Reviews_

4.1

Overall Glassdoor Score

Based on 205 reviews

Culture & Values 4.1

Compensation & Benefits 4.2

Senior Management 3.6

Career Opportunities 3.9

Work-Life Balance 4.2

Overall Rating 4.1

78% Recommend to a Friend

Employee Review Themes

## Working at Grafana Labs: _Pros & Cons_

### ✓ What employees love

-   ✓ 100% remote-first across 40+ countries with generous PTO (~30 days) and mandatory shutdown days
-   ✓ Absurdly talented colleagues with strong collaborative culture
-   ✓ Open-source at its core — contribute to projects used by millions of engineers worldwide
-   ✓ Transparent leadership that genuinely cares about people, with strong camaraderie and fun culture
-   ✓ $400M+ ARR with 7,000+ customers — stable, well-funded, and growing rapidly

### ✗ What could be better

-   ✗ Career progression above staff level can be very challenging
-   ✗ Product management is sometimes marginalized, with engineers holding disproportionate power
-   ✗ Some management lacks experience to lead effectively in certain areas
-   ✗ Compensation could be more competitive at senior levels compared to FAANG

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Go TypeScript React Kubernetes Prometheus Grafana Loki

#### Open Source

All core products are open-source — Grafana (73k+ GitHub stars), Loki, Tempo, Mimir. Active community with contributors from around the world.

#### Engineering Blog

Active blog on observability, distributed systems, and open-source development. [Read the blog →](https://grafana.com/blog?ref=jobsbyculture.com)

#### Team Structure

Fully remote with small autonomous teams. Engineers own features end-to-end across the observability stack.

Open Positions

## Join the _Grafana Labs_ team

... open positions.

🌐 Remote

✕ Clear

[See all Grafana Labs jobs →](https://jobsbyculture.com/jobs?company=grafanalabs)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ The AI Talent War in 2026: 1.6M Open Roles, 518K Qualified Candidates](https://jobsbyculture.com/blog/ai-talent-war-2026)
-   [→ Anthropic Glassdoor Reviews Decoded 2026: What 150+ Employees Actually Say](https://jobsbyculture.com/blog/anthropic-glassdoor-reviews-decoded-2026)
-   [→ Is Anthropic Remote? Only ~8% of Roles Are in 2026 (Real Policy + Alternatives)](https://jobsbyculture.com/blog/anthropic-remote-work-policy-2026)

### Compare Grafana Labs

-   [→ Grafana Labs vs Abridge](https://jobsbyculture.com/compare/abridge-vs-grafanalabs)
-   [→ Grafana Labs vs Adyen](https://jobsbyculture.com/compare/adyen-vs-grafanalabs)
-   [→ Grafana Labs vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-grafanalabs)
-   [→ Grafana Labs vs Airtable](https://jobsbyculture.com/compare/airtable-vs-grafanalabs)
-   [→ Grafana Labs vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-grafanalabs)
-   [→ Grafana Labs vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-grafanalabs)
-   [→ Grafana Labs vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-grafanalabs)
-   [→ Grafana Labs vs Asana](https://jobsbyculture.com/compare/asana-vs-grafanalabs)
-   [→ Grafana Labs vs Baseten](https://jobsbyculture.com/compare/baseten-vs-grafanalabs)
-   [→ Grafana Labs vs Brex](https://jobsbyculture.com/compare/brex-vs-grafanalabs)
-   [→ Grafana Labs vs Celonis](https://jobsbyculture.com/compare/celonis-vs-grafanalabs)
-   [→ Grafana Labs vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-grafanalabs)
-   [→ Grafana Labs vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-grafanalabs)
-   [→ Grafana Labs vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-grafanalabs)
-   [→ Grafana Labs vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-grafanalabs)
-   [→ Grafana Labs vs Cohere](https://jobsbyculture.com/compare/cohere-vs-grafanalabs)
-   [→ Grafana Labs vs Contentful](https://jobsbyculture.com/compare/contentful-vs-grafanalabs)
-   [→ Grafana Labs vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-grafanalabs)
-   [→ Grafana Labs vs Cresta](https://jobsbyculture.com/compare/cresta-vs-grafanalabs)
-   [→ Grafana Labs vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-grafanalabs)
-   [→ Grafana Labs vs Cursor](https://jobsbyculture.com/compare/cursor-vs-grafanalabs)
-   [→ Grafana Labs vs Databricks](https://jobsbyculture.com/compare/databricks-vs-grafanalabs)
-   [→ Grafana Labs vs Datadog](https://jobsbyculture.com/compare/datadog-vs-grafanalabs)
-   [→ Grafana Labs vs Decagon](https://jobsbyculture.com/compare/decagon-vs-grafanalabs)
-   [→ Grafana Labs vs DeepL](https://jobsbyculture.com/compare/deepl-vs-grafanalabs)
-   [→ Grafana Labs vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-grafanalabs)
-   [→ Grafana Labs vs Descript](https://jobsbyculture.com/compare/descript-vs-grafanalabs)
-   [→ Grafana Labs vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-grafanalabs)
-   [→ Grafana Labs vs Elastic](https://jobsbyculture.com/compare/elastic-vs-grafanalabs)
-   [→ Grafana Labs vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-grafanalabs)
-   [→ Grafana Labs vs Figma](https://jobsbyculture.com/compare/figma-vs-grafanalabs)
-   [→ Grafana Labs vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-grafanalabs)
-   [→ Grafana Labs vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-grafanalabs)
-   [→ Grafana Labs vs Glean](https://jobsbyculture.com/compare/glean-vs-grafanalabs)
-   [→ Grafana Labs vs Granola](https://jobsbyculture.com/compare/grafanalabs-vs-granola)
-   [→ Grafana Labs vs Harvey AI](https://jobsbyculture.com/compare/grafanalabs-vs-harvey)
-   [→ Grafana Labs vs Hebbia](https://jobsbyculture.com/compare/grafanalabs-vs-hebbia)
-   [→ Grafana Labs vs Helsing](https://jobsbyculture.com/compare/grafanalabs-vs-helsing)
-   [→ Grafana Labs vs HubSpot](https://jobsbyculture.com/compare/grafanalabs-vs-hubspot)
-   [→ Grafana Labs vs Hugging Face](https://jobsbyculture.com/compare/grafanalabs-vs-huggingface)
-   [→ Grafana Labs vs incident.io](https://jobsbyculture.com/compare/grafanalabs-vs-incidentio)
-   [→ Grafana Labs vs Labelbox](https://jobsbyculture.com/compare/grafanalabs-vs-labelbox)
-   [→ Grafana Labs vs Lambda](https://jobsbyculture.com/compare/grafanalabs-vs-lambda)
-   [→ Grafana Labs vs LangChain](https://jobsbyculture.com/compare/grafanalabs-vs-langchain)
-   [→ Grafana Labs vs Linear](https://jobsbyculture.com/compare/grafanalabs-vs-linear)
-   [→ Grafana Labs vs Lovable](https://jobsbyculture.com/compare/grafanalabs-vs-lovable)
-   [→ Grafana Labs vs Mercor](https://jobsbyculture.com/compare/grafanalabs-vs-mercor)
-   [→ Grafana Labs vs Mercury](https://jobsbyculture.com/compare/grafanalabs-vs-mercury)
-   [→ Grafana Labs vs Mistral AI](https://jobsbyculture.com/compare/grafanalabs-vs-mistral)
-   [→ Grafana Labs vs Modal](https://jobsbyculture.com/compare/grafanalabs-vs-modal)
-   [→ Grafana Labs vs MongoDB](https://jobsbyculture.com/compare/grafanalabs-vs-mongodb)
-   [→ Grafana Labs vs n8n](https://jobsbyculture.com/compare/grafanalabs-vs-n8n)
-   [→ Grafana Labs vs Navan](https://jobsbyculture.com/compare/grafanalabs-vs-navan)
-   [→ Grafana Labs vs Notion](https://jobsbyculture.com/compare/grafanalabs-vs-notion)
-   [→ Grafana Labs vs OpenAI](https://jobsbyculture.com/compare/grafanalabs-vs-openai)
-   [→ Grafana Labs vs Perplexity AI](https://jobsbyculture.com/compare/grafanalabs-vs-perplexity)
-   [→ Grafana Labs vs Pinecone](https://jobsbyculture.com/compare/grafanalabs-vs-pinecone)
-   [→ Grafana Labs vs Plaid](https://jobsbyculture.com/compare/grafanalabs-vs-plaid)
-   [→ Grafana Labs vs Poolside AI](https://jobsbyculture.com/compare/grafanalabs-vs-poolside)
-   [→ Grafana Labs vs PostHog](https://jobsbyculture.com/compare/grafanalabs-vs-posthog)
-   [→ Grafana Labs vs Pylon](https://jobsbyculture.com/compare/grafanalabs-vs-pylon)
-   [→ Grafana Labs vs Ramp](https://jobsbyculture.com/compare/grafanalabs-vs-ramp)
-   [→ Grafana Labs vs Replit](https://jobsbyculture.com/compare/grafanalabs-vs-replit)
-   [→ Grafana Labs vs Runway](https://jobsbyculture.com/compare/grafanalabs-vs-runway)
-   [→ Grafana Labs vs Samsara](https://jobsbyculture.com/compare/grafanalabs-vs-samsara)
-   [→ Grafana Labs vs Scale AI](https://jobsbyculture.com/compare/grafanalabs-vs-scale)
-   [→ Grafana Labs vs Sierra AI](https://jobsbyculture.com/compare/grafanalabs-vs-sierra)
-   [→ Grafana Labs vs Snowflake](https://jobsbyculture.com/compare/grafanalabs-vs-snowflake)
-   [→ Grafana Labs vs Stripe](https://jobsbyculture.com/compare/grafanalabs-vs-stripe)
-   [→ Grafana Labs vs Suno](https://jobsbyculture.com/compare/grafanalabs-vs-suno)
-   [→ Grafana Labs vs Supabase](https://jobsbyculture.com/compare/grafanalabs-vs-supabase)
-   [→ Grafana Labs vs Synthesia](https://jobsbyculture.com/compare/grafanalabs-vs-synthesia)
-   [→ Grafana Labs vs Tailscale](https://jobsbyculture.com/compare/grafanalabs-vs-tailscale)
-   [→ Grafana Labs vs Together AI](https://jobsbyculture.com/compare/grafanalabs-vs-together)
-   [→ Grafana Labs vs Twilio](https://jobsbyculture.com/compare/grafanalabs-vs-twilio)
-   [→ Grafana Labs vs Vanta](https://jobsbyculture.com/compare/grafanalabs-vs-vanta)
-   [→ Grafana Labs vs Vast AI](https://jobsbyculture.com/compare/grafanalabs-vs-vast)
-   [→ Grafana Labs vs Vercel](https://jobsbyculture.com/compare/grafanalabs-vs-vercel)
-   [→ Grafana Labs vs Wayve](https://jobsbyculture.com/compare/grafanalabs-vs-wayve)
-   [→ Grafana Labs vs Weaviate](https://jobsbyculture.com/compare/grafanalabs-vs-weaviate)
-   [→ Grafana Labs vs Webflow](https://jobsbyculture.com/compare/grafanalabs-vs-webflow)
-   [→ Grafana Labs vs Writer](https://jobsbyculture.com/compare/grafanalabs-vs-writer)



🏢

### Claim _Grafana Labs_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Granola Glassdoor, Culture & Careers 2026 | JobsByCulture

# Granola Glassdoor, Culture & Careers 2026 | JobsByCulture

> Granola company profile: 5.0 Glassdoor, ~50 employees, $1.5B valuation. Work-life balance, culture reviews, and open careers at the AI meeting notes startup.

Source: https://jobsbyculture.com/companies/granola
Markdown: https://jobsbyculture.com/companies/granola.md
Last updated: 2026-07-14

---
![Granola logo](https://www.google.com/s2/favicons?domain=granola.ai&sz=128)

# Granola

AI Meeting Notes — Users Genuinely Love It

The consensus on Granola: Choose Granola if you want to ship a product users genuinely love on a tiny, in-person London team backed by Index Ventures and Kleiner Perkins.

2023

Founded

London

Headquarters

~50

Employees

$1.5B

Valuation (Mar 2026)

Free Work at Granola? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Granola

Founded in 2023 by Chris Pedregal (CEO) and Sam Stephenson in London, Granola is the AI meeting notepad that sits on your device, transcribes meetings without a bot joining the call, and generates Notion-style notes afterward. The company reached a $1.5B valuation in March 2026 after a $125M Series C led by Index Ventures with participation from Kleiner Perkins. The culture is strong product-engineering on a small, in-person team — plenty of opportunities to work on things that move the product, with total ownership of your area.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship-Fast](https://jobsbyculture.com/values/ship-fast) [Product-Impact](https://jobsbyculture.com/values/product-impact) [Strong Equity](https://jobsbyculture.com/values/equity) [Many-Hats](https://jobsbyculture.com/values/many-hats)

Glassdoor Ratings

## Granola Glassdoor Ratings & _Employee Reviews_

5.0

Overall Glassdoor Score

Based on 3 reviews (small sample)

Culture & Values 5.0

Work-Life Balance 4.5

Compensation & Benefits 3.8

Career Opportunities 4.5

Senior Management 4.7

Overall Rating 5.0

~100% Recommend to a Friend

Note: Glassdoor sample is very small (3 reviews) and includes mixed feedback (a recent 5.0 review and one 1.0 review from a candidate citing recruitment ghosting). Subscores are estimates synthesized from those reviews plus external press coverage; treat as directional, not definitive.

Employee Review Themes

## Working at Granola: _Pros & Cons_

### ✓ What employees love

-   ✓ Users absolutely love the product — genuine product-market fit, not manufactured
-   ✓ Small team means plenty of opportunities to work on things that move the needle
-   ✓ Total ownership over your area — visionary founders, high trust
-   ✓ Beautiful London office with breakfast, lunch and dinner provided

### ✗ What could be better

-   ✗ 5 days in office by default (though flexible for life circumstances)
-   ✗ London-based — limited remote-first role flexibility
-   ✗ Developer pay concerns noted in Glassdoor — equity-heavy at this stage
-   ✗ Very small team means less structured career ladders and process

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

TypeScript Swift Python

#### Product

Native macOS app that transcribes meetings on-device without a bot joining the call, then generates Notion-style notes afterward. Launched Teams workspace in May 2025.

#### AI & ML

Leverages frontier LLMs plus an in-house transcription and summarization layer tuned for meeting context and privacy. [Try Granola →](https://granola.ai/?ref=jobsbyculture.com)

#### Team Structure

Small, in-person team in London. Total area ownership. Co-founders Chris Pedregal (CEO) and Sam Stephenson lead product and engineering direction, working closely with engineers on roadmap.

Open Positions

## Join the _Granola_ team

Explore all open roles at Granola below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=granola)

Explore More

## Related _content_

### Blog Posts

-   [→ Engineering Manager vs Staff Engineer in 2026: How to Choose Your Track](https://jobsbyculture.com/blog/engineering-manager-vs-staff-engineer-2026)
-   [→ Founding Engineer Career Path 2026: Equity, Scope, Risk & Reality](https://jobsbyculture.com/blog/founding-engineer-career-path-2026)
-   [→ How to Retain Senior Engineers in 2026: 9 Strategies That Actually Work](https://jobsbyculture.com/blog/how-to-retain-senior-engineers-2026)
-   [→ The Two-Speed Tech Hiring Market in 2026: AI vs Everything Else](https://jobsbyculture.com/blog/two-speed-tech-hiring-market-2026)
-   [→ Decagon in 2026: $4.5B AI Agents Startup, 300+ Employees, Salary & Culture](https://jobsbyculture.com/blog/working-at-decagon-2026)

### Compare Granola

-   [→ Granola vs Abridge](https://jobsbyculture.com/compare/abridge-vs-granola)
-   [→ Granola vs Adyen](https://jobsbyculture.com/compare/adyen-vs-granola)
-   [→ Granola vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-granola)
-   [→ Granola vs Airtable](https://jobsbyculture.com/compare/airtable-vs-granola)
-   [→ Granola vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-granola)
-   [→ Granola vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-granola)
-   [→ Granola vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-granola)
-   [→ Granola vs Asana](https://jobsbyculture.com/compare/asana-vs-granola)
-   [→ Granola vs Baseten](https://jobsbyculture.com/compare/baseten-vs-granola)
-   [→ Granola vs Brex](https://jobsbyculture.com/compare/brex-vs-granola)
-   [→ Granola vs Celonis](https://jobsbyculture.com/compare/celonis-vs-granola)
-   [→ Granola vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-granola)
-   [→ Granola vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-granola)
-   [→ Granola vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-granola)
-   [→ Granola vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-granola)
-   [→ Granola vs Cohere](https://jobsbyculture.com/compare/cohere-vs-granola)
-   [→ Granola vs Contentful](https://jobsbyculture.com/compare/contentful-vs-granola)
-   [→ Granola vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-granola)
-   [→ Granola vs Cresta](https://jobsbyculture.com/compare/cresta-vs-granola)
-   [→ Granola vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-granola)
-   [→ Granola vs Cursor](https://jobsbyculture.com/compare/cursor-vs-granola)
-   [→ Granola vs Databricks](https://jobsbyculture.com/compare/databricks-vs-granola)
-   [→ Granola vs Datadog](https://jobsbyculture.com/compare/datadog-vs-granola)
-   [→ Granola vs Decagon](https://jobsbyculture.com/compare/decagon-vs-granola)
-   [→ Granola vs DeepL](https://jobsbyculture.com/compare/deepl-vs-granola)
-   [→ Granola vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-granola)
-   [→ Granola vs Descript](https://jobsbyculture.com/compare/descript-vs-granola)
-   [→ Granola vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-granola)
-   [→ Granola vs Elastic](https://jobsbyculture.com/compare/elastic-vs-granola)
-   [→ Granola vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-granola)
-   [→ Granola vs Figma](https://jobsbyculture.com/compare/figma-vs-granola)
-   [→ Granola vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-granola)
-   [→ Granola vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-granola)
-   [→ Granola vs Glean](https://jobsbyculture.com/compare/glean-vs-granola)
-   [→ Granola vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-granola)
-   [→ Granola vs Harvey AI](https://jobsbyculture.com/compare/granola-vs-harvey)
-   [→ Granola vs Hebbia](https://jobsbyculture.com/compare/granola-vs-hebbia)
-   [→ Granola vs Helsing](https://jobsbyculture.com/compare/granola-vs-helsing)
-   [→ Granola vs HubSpot](https://jobsbyculture.com/compare/granola-vs-hubspot)
-   [→ Granola vs Hugging Face](https://jobsbyculture.com/compare/granola-vs-huggingface)
-   [→ Granola vs incident.io](https://jobsbyculture.com/compare/granola-vs-incidentio)
-   [→ Granola vs Labelbox](https://jobsbyculture.com/compare/granola-vs-labelbox)
-   [→ Granola vs Lambda](https://jobsbyculture.com/compare/granola-vs-lambda)
-   [→ Granola vs LangChain](https://jobsbyculture.com/compare/granola-vs-langchain)
-   [→ Granola vs Linear](https://jobsbyculture.com/compare/granola-vs-linear)
-   [→ Granola vs Lovable](https://jobsbyculture.com/compare/granola-vs-lovable)
-   [→ Granola vs Mercor](https://jobsbyculture.com/compare/granola-vs-mercor)
-   [→ Granola vs Mercury](https://jobsbyculture.com/compare/granola-vs-mercury)
-   [→ Granola vs Mistral AI](https://jobsbyculture.com/compare/granola-vs-mistral)
-   [→ Granola vs Modal](https://jobsbyculture.com/compare/granola-vs-modal)
-   [→ Granola vs MongoDB](https://jobsbyculture.com/compare/granola-vs-mongodb)
-   [→ Granola vs n8n](https://jobsbyculture.com/compare/granola-vs-n8n)
-   [→ Granola vs Navan](https://jobsbyculture.com/compare/granola-vs-navan)
-   [→ Granola vs Notion](https://jobsbyculture.com/compare/granola-vs-notion)
-   [→ Granola vs OpenAI](https://jobsbyculture.com/compare/granola-vs-openai)
-   [→ Granola vs Perplexity AI](https://jobsbyculture.com/compare/granola-vs-perplexity)
-   [→ Granola vs Pinecone](https://jobsbyculture.com/compare/granola-vs-pinecone)
-   [→ Granola vs Plaid](https://jobsbyculture.com/compare/granola-vs-plaid)
-   [→ Granola vs Poolside AI](https://jobsbyculture.com/compare/granola-vs-poolside)
-   [→ Granola vs PostHog](https://jobsbyculture.com/compare/granola-vs-posthog)
-   [→ Granola vs Pylon](https://jobsbyculture.com/compare/granola-vs-pylon)
-   [→ Granola vs Ramp](https://jobsbyculture.com/compare/granola-vs-ramp)
-   [→ Granola vs Replit](https://jobsbyculture.com/compare/granola-vs-replit)
-   [→ Granola vs Runway](https://jobsbyculture.com/compare/granola-vs-runway)
-   [→ Granola vs Samsara](https://jobsbyculture.com/compare/granola-vs-samsara)
-   [→ Granola vs Scale AI](https://jobsbyculture.com/compare/granola-vs-scale)
-   [→ Granola vs Sierra AI](https://jobsbyculture.com/compare/granola-vs-sierra)
-   [→ Granola vs Snowflake](https://jobsbyculture.com/compare/granola-vs-snowflake)
-   [→ Granola vs Stripe](https://jobsbyculture.com/compare/granola-vs-stripe)
-   [→ Granola vs Suno](https://jobsbyculture.com/compare/granola-vs-suno)
-   [→ Granola vs Supabase](https://jobsbyculture.com/compare/granola-vs-supabase)
-   [→ Granola vs Synthesia](https://jobsbyculture.com/compare/granola-vs-synthesia)
-   [→ Granola vs Tailscale](https://jobsbyculture.com/compare/granola-vs-tailscale)
-   [→ Granola vs Together AI](https://jobsbyculture.com/compare/granola-vs-together)
-   [→ Granola vs Twilio](https://jobsbyculture.com/compare/granola-vs-twilio)
-   [→ Granola vs Vanta](https://jobsbyculture.com/compare/granola-vs-vanta)
-   [→ Granola vs Vast AI](https://jobsbyculture.com/compare/granola-vs-vast)
-   [→ Granola vs Vercel](https://jobsbyculture.com/compare/granola-vs-vercel)
-   [→ Granola vs Wayve](https://jobsbyculture.com/compare/granola-vs-wayve)
-   [→ Granola vs Weaviate](https://jobsbyculture.com/compare/granola-vs-weaviate)
-   [→ Granola vs Webflow](https://jobsbyculture.com/compare/granola-vs-webflow)
-   [→ Granola vs Writer](https://jobsbyculture.com/compare/granola-vs-writer)



🏢

### Claim _Granola_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Harvey AI Glassdoor, Culture & Careers 2026 | JobsByCulture

# Harvey AI Glassdoor, Culture & Careers 2026 | JobsByCulture

> Harvey AI company profile: 4.3 Glassdoor, ~700 employees, $330K+ median SWE comp. Work-life balance, culture reviews, and open careers at the AI for legal & professional services.

Source: https://jobsbyculture.com/companies/harvey
Markdown: https://jobsbyculture.com/companies/harvey.md
Last updated: 2026-07-14

---
![Harvey logo](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

# Harvey

AI for Legal & Professional Services

The consensus on Harvey: Exceptionally smart, driven, and supportive people — everyone genuinely wants to see each other succeed. Top-tier compensation with strong product-market fit.

San Francisco

Headquarters

~700

Employees

$330K+

Median SWE Comp

1000+

Customers

Free Work at Harvey? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Harvey

Harvey is building AI for legal and professional services, with over 1,000 customers including top law firms and Fortune 500 companies. The culture combines engineering intensity with a genuinely supportive team — smart, driven colleagues who want each other to succeed. Top-tier compensation ($330K+ median SWE comp) and strong product-market fit, though the pace is demanding with in-office expectations 3+ days/week.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Strong Equity](https://jobsbyculture.com/values/equity) [Learning Culture](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Harvey Glassdoor Ratings & _Employee Reviews_

4.3

Overall Glassdoor Score

Based on 42 reviews

Culture & Values4.2

Work-Life Balance3.4

Compensation & Benefits4.3

Career Opportunities3.7

Senior Management3.6

Overall Rating4.3

Employee Review Themes

## Working at Harvey: _Pros & Cons_

### ✓ What employees love

-   ✓Top-tier compensation ($330K+ median SWE comp)
-   ✓Strong product-market fit with 1000+ customers
-   ✓Exceptional comp and equity packages
-   ✓Smart, driven colleagues who support each other

### ✗ What could be better

-   ✗Intense work culture with long hours
-   ✗In-office 3+ days/week required
-   ✗Intense pace with long hours
-   ✗Growing pains and internal politics

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

PythonTypeScriptLLMs

#### Product

AI-powered platform for legal and professional services. Used by top law firms and Fortune 500 companies for document review, research, and drafting.

#### AI & ML

Fine-tuned LLMs for domain-specific legal reasoning. Deep integration with professional workflows. [Learn more →](https://harvey.ai?ref=jobsbyculture.com)

#### Team Structure

~700 employees with engineering-driven culture. Engineers ship features end-to-end with high autonomy and strong learning opportunities.

Open Positions

## Join the _Harvey_ team

Explore open roles at Harvey below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=harvey)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Agents Are Replacing SaaS — What It Means for Tech Careers in 2026](https://jobsbyculture.com/blog/ai-agents-replacing-saas-2026)
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-   [→ Fastest-Growing Tech Companies Hiring in 2026: Who’s Scaling the Fastest](https://jobsbyculture.com/blog/fastest-growing-tech-companies-2026)

### Compare Harvey AI

-   [→ Harvey AI vs Abridge](https://jobsbyculture.com/compare/abridge-vs-harvey)
-   [→ Harvey AI vs Adyen](https://jobsbyculture.com/compare/adyen-vs-harvey)
-   [→ Harvey AI vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-harvey)
-   [→ Harvey AI vs Airtable](https://jobsbyculture.com/compare/airtable-vs-harvey)
-   [→ Harvey AI vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-harvey)
-   [→ Harvey AI vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-harvey)
-   [→ Harvey AI vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-harvey)
-   [→ Harvey AI vs Asana](https://jobsbyculture.com/compare/asana-vs-harvey)
-   [→ Harvey AI vs Baseten](https://jobsbyculture.com/compare/baseten-vs-harvey)
-   [→ Harvey AI vs Brex](https://jobsbyculture.com/compare/brex-vs-harvey)
-   [→ Harvey AI vs Celonis](https://jobsbyculture.com/compare/celonis-vs-harvey)
-   [→ Harvey AI vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-harvey)
-   [→ Harvey AI vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-harvey)
-   [→ Harvey AI vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-harvey)
-   [→ Harvey AI vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-harvey)
-   [→ Harvey AI vs Cohere](https://jobsbyculture.com/compare/cohere-vs-harvey)
-   [→ Harvey AI vs Contentful](https://jobsbyculture.com/compare/contentful-vs-harvey)
-   [→ Harvey AI vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-harvey)
-   [→ Harvey AI vs Cresta](https://jobsbyculture.com/compare/cresta-vs-harvey)
-   [→ Harvey AI vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-harvey)
-   [→ Harvey AI vs Cursor](https://jobsbyculture.com/compare/cursor-vs-harvey)
-   [→ Harvey AI vs Databricks](https://jobsbyculture.com/compare/databricks-vs-harvey)
-   [→ Harvey AI vs Datadog](https://jobsbyculture.com/compare/datadog-vs-harvey)
-   [→ Harvey AI vs Decagon](https://jobsbyculture.com/compare/decagon-vs-harvey)
-   [→ Harvey AI vs DeepL](https://jobsbyculture.com/compare/deepl-vs-harvey)
-   [→ Harvey AI vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-harvey)
-   [→ Harvey AI vs Descript](https://jobsbyculture.com/compare/descript-vs-harvey)
-   [→ Harvey AI vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-harvey)
-   [→ Harvey AI vs Elastic](https://jobsbyculture.com/compare/elastic-vs-harvey)
-   [→ Harvey AI vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-harvey)
-   [→ Harvey AI vs Figma](https://jobsbyculture.com/compare/figma-vs-harvey)
-   [→ Harvey AI vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-harvey)
-   [→ Harvey AI vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-harvey)
-   [→ Harvey AI vs Glean](https://jobsbyculture.com/compare/glean-vs-harvey)
-   [→ Harvey AI vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-harvey)
-   [→ Harvey AI vs Granola](https://jobsbyculture.com/compare/granola-vs-harvey)
-   [→ Harvey AI vs Hebbia](https://jobsbyculture.com/compare/harvey-vs-hebbia)
-   [→ Harvey AI vs Helsing](https://jobsbyculture.com/compare/harvey-vs-helsing)
-   [→ Harvey AI vs HubSpot](https://jobsbyculture.com/compare/harvey-vs-hubspot)
-   [→ Harvey AI vs Hugging Face](https://jobsbyculture.com/compare/harvey-vs-huggingface)
-   [→ Harvey AI vs incident.io](https://jobsbyculture.com/compare/harvey-vs-incidentio)
-   [→ Harvey AI vs Labelbox](https://jobsbyculture.com/compare/harvey-vs-labelbox)
-   [→ Harvey AI vs Lambda](https://jobsbyculture.com/compare/harvey-vs-lambda)
-   [→ Harvey AI vs LangChain](https://jobsbyculture.com/compare/harvey-vs-langchain)
-   [→ Harvey AI vs Linear](https://jobsbyculture.com/compare/harvey-vs-linear)
-   [→ Harvey AI vs Lovable](https://jobsbyculture.com/compare/harvey-vs-lovable)
-   [→ Harvey AI vs Mercor](https://jobsbyculture.com/compare/harvey-vs-mercor)
-   [→ Harvey AI vs Mercury](https://jobsbyculture.com/compare/harvey-vs-mercury)
-   [→ Harvey AI vs Mistral AI](https://jobsbyculture.com/compare/harvey-vs-mistral)
-   [→ Harvey AI vs Modal](https://jobsbyculture.com/compare/harvey-vs-modal)
-   [→ Harvey AI vs MongoDB](https://jobsbyculture.com/compare/harvey-vs-mongodb)
-   [→ Harvey AI vs n8n](https://jobsbyculture.com/compare/harvey-vs-n8n)
-   [→ Harvey AI vs Navan](https://jobsbyculture.com/compare/harvey-vs-navan)
-   [→ Harvey AI vs Notion](https://jobsbyculture.com/compare/harvey-vs-notion)
-   [→ Harvey AI vs OpenAI](https://jobsbyculture.com/compare/harvey-vs-openai)
-   [→ Harvey AI vs Perplexity AI](https://jobsbyculture.com/compare/harvey-vs-perplexity)
-   [→ Harvey AI vs Pinecone](https://jobsbyculture.com/compare/harvey-vs-pinecone)
-   [→ Harvey AI vs Plaid](https://jobsbyculture.com/compare/harvey-vs-plaid)
-   [→ Harvey AI vs Poolside AI](https://jobsbyculture.com/compare/harvey-vs-poolside)
-   [→ Harvey AI vs PostHog](https://jobsbyculture.com/compare/harvey-vs-posthog)
-   [→ Harvey AI vs Pylon](https://jobsbyculture.com/compare/harvey-vs-pylon)
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-   [→ Harvey AI vs Runway](https://jobsbyculture.com/compare/harvey-vs-runway)
-   [→ Harvey AI vs Samsara](https://jobsbyculture.com/compare/harvey-vs-samsara)
-   [→ Harvey AI vs Scale AI](https://jobsbyculture.com/compare/harvey-vs-scale)
-   [→ Harvey AI vs Sierra AI](https://jobsbyculture.com/compare/harvey-vs-sierra)
-   [→ Harvey AI vs Snowflake](https://jobsbyculture.com/compare/harvey-vs-snowflake)
-   [→ Harvey AI vs Stripe](https://jobsbyculture.com/compare/harvey-vs-stripe)
-   [→ Harvey AI vs Suno](https://jobsbyculture.com/compare/harvey-vs-suno)
-   [→ Harvey AI vs Supabase](https://jobsbyculture.com/compare/harvey-vs-supabase)
-   [→ Harvey AI vs Synthesia](https://jobsbyculture.com/compare/harvey-vs-synthesia)
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-   [→ Harvey AI vs Together AI](https://jobsbyculture.com/compare/harvey-vs-together)
-   [→ Harvey AI vs Twilio](https://jobsbyculture.com/compare/harvey-vs-twilio)
-   [→ Harvey AI vs Vanta](https://jobsbyculture.com/compare/harvey-vs-vanta)
-   [→ Harvey AI vs Vast AI](https://jobsbyculture.com/compare/harvey-vs-vast)
-   [→ Harvey AI vs Vercel](https://jobsbyculture.com/compare/harvey-vs-vercel)
-   [→ Harvey AI vs Wayve](https://jobsbyculture.com/compare/harvey-vs-wayve)
-   [→ Harvey AI vs Weaviate](https://jobsbyculture.com/compare/harvey-vs-weaviate)
-   [→ Harvey AI vs Webflow](https://jobsbyculture.com/compare/harvey-vs-webflow)
-   [→ Harvey AI vs Writer](https://jobsbyculture.com/compare/harvey-vs-writer)



🏢

### Claim _Harvey_

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---

## Document: Hebbia Glassdoor, Culture & Careers 2026 | JobsByCulture

# Hebbia Glassdoor, Culture & Careers 2026 | JobsByCulture

> Hebbia company profile: 4.4 Glassdoor, ~140 employees. Work-life balance, culture reviews, and open careers at the AI document intelligence platform for finance.

Source: https://jobsbyculture.com/companies/hebbia
Markdown: https://jobsbyculture.com/companies/hebbia.md
Last updated: 2026-07-14

---
![Hebbia logo](https://www.google.com/s2/favicons?domain=hebbia.com&sz=128)

# Hebbia

AI Document Intelligence for Finance

The consensus on Hebbia: Culture built on compassion and grit — the kindest, most sharp group of people. Cutting-edge AI work powering top finance firms.

New York

Headquarters

~140

Employees

4.4

Glassdoor

Free Work at Hebbia? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Hebbia

Hebbia builds AI-powered document intelligence for the finance industry, trusted by firms like BlackRock, KKR, and Carlyle. Based in New York with ~140 employees, the culture is built on compassion and grit — a team described as the kindest and sharpest people you'll work with. Engineers wear many hats and ship fast, with exceptional culture scores (4.8/5 on Glassdoor for culture & values). The trade-off: long hours (70+ hrs/week mentioned) and fully in-office, 5 days a week.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Learning Culture](https://jobsbyculture.com/values/learning) [Many Hats](https://jobsbyculture.com/values/many-hats) [Product Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Hebbia Glassdoor Ratings & _Employee Reviews_

4.4

Overall Glassdoor Score

Based on 16 reviews

Culture & Values4.8

Work-Life Balance3.2

Compensation & Benefits4.2

Career Opportunities4.5

Senior Management4.3

Overall Rating4.4

Employee Review Themes

## Working at Hebbia: _Pros & Cons_

### ✓ What employees love

-   ✓Exceptional culture scores (4.8/5 culture & values on Glassdoor)
-   ✓Cutting-edge AI work powering BlackRock, KKR, Carlyle
-   ✓Incredible culture and smart, kind team
-   ✓Cutting-edge AI work in finance

### ✗ What could be better

-   ✗Long hours expected (70+ hrs/week mentioned)
-   ✗5 days/week in-office with no flexibility
-   ✗Very long hours expected
-   ✗Fully in-office, no flexibility

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

PythonTypeScriptLLMs

#### Product

AI-powered document analysis and search platform built for finance. Enables analysts to process thousands of documents in minutes instead of weeks.

#### AI & ML

Advanced RAG, document understanding, and LLM orchestration for financial document analysis at scale. [Learn more →](https://hebbia.com?ref=jobsbyculture.com)

#### Team Structure

~140 employees, many-hats culture. Small teams with high ownership. Engineers ship fast with direct impact on products used by top-tier financial institutions.

Open Positions

## Join the _Hebbia_ team

Explore open roles at Hebbia below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=hebbia)

Explore More

## Related _content_

### Blog Posts

-   [→ $300B in Q1 2026: The AI Funding Boom & What It Means for Job Seekers](https://jobsbyculture.com/blog/ai-startup-funding-hiring-2026)
-   [→ Fastest-Growing Tech Companies Hiring in 2026: Who’s Scaling the Fastest](https://jobsbyculture.com/blog/fastest-growing-tech-companies-2026)

### Compare Hebbia

-   [→ Hebbia vs Abridge](https://jobsbyculture.com/compare/abridge-vs-hebbia)
-   [→ Hebbia vs Adyen](https://jobsbyculture.com/compare/adyen-vs-hebbia)
-   [→ Hebbia vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-hebbia)
-   [→ Hebbia vs Airtable](https://jobsbyculture.com/compare/airtable-vs-hebbia)
-   [→ Hebbia vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-hebbia)
-   [→ Hebbia vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-hebbia)
-   [→ Hebbia vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-hebbia)
-   [→ Hebbia vs Asana](https://jobsbyculture.com/compare/asana-vs-hebbia)
-   [→ Hebbia vs Baseten](https://jobsbyculture.com/compare/baseten-vs-hebbia)
-   [→ Hebbia vs Brex](https://jobsbyculture.com/compare/brex-vs-hebbia)
-   [→ Hebbia vs Celonis](https://jobsbyculture.com/compare/celonis-vs-hebbia)
-   [→ Hebbia vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-hebbia)
-   [→ Hebbia vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-hebbia)
-   [→ Hebbia vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-hebbia)
-   [→ Hebbia vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-hebbia)
-   [→ Hebbia vs Cohere](https://jobsbyculture.com/compare/cohere-vs-hebbia)
-   [→ Hebbia vs Contentful](https://jobsbyculture.com/compare/contentful-vs-hebbia)
-   [→ Hebbia vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-hebbia)
-   [→ Hebbia vs Cresta](https://jobsbyculture.com/compare/cresta-vs-hebbia)
-   [→ Hebbia vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-hebbia)
-   [→ Hebbia vs Cursor](https://jobsbyculture.com/compare/cursor-vs-hebbia)
-   [→ Hebbia vs Databricks](https://jobsbyculture.com/compare/databricks-vs-hebbia)
-   [→ Hebbia vs Datadog](https://jobsbyculture.com/compare/datadog-vs-hebbia)
-   [→ Hebbia vs Decagon](https://jobsbyculture.com/compare/decagon-vs-hebbia)
-   [→ Hebbia vs DeepL](https://jobsbyculture.com/compare/deepl-vs-hebbia)
-   [→ Hebbia vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-hebbia)
-   [→ Hebbia vs Descript](https://jobsbyculture.com/compare/descript-vs-hebbia)
-   [→ Hebbia vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-hebbia)
-   [→ Hebbia vs Elastic](https://jobsbyculture.com/compare/elastic-vs-hebbia)
-   [→ Hebbia vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-hebbia)
-   [→ Hebbia vs Figma](https://jobsbyculture.com/compare/figma-vs-hebbia)
-   [→ Hebbia vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-hebbia)
-   [→ Hebbia vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-hebbia)
-   [→ Hebbia vs Glean](https://jobsbyculture.com/compare/glean-vs-hebbia)
-   [→ Hebbia vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-hebbia)
-   [→ Hebbia vs Granola](https://jobsbyculture.com/compare/granola-vs-hebbia)
-   [→ Hebbia vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-hebbia)
-   [→ Hebbia vs Helsing](https://jobsbyculture.com/compare/hebbia-vs-helsing)
-   [→ Hebbia vs HubSpot](https://jobsbyculture.com/compare/hebbia-vs-hubspot)
-   [→ Hebbia vs Hugging Face](https://jobsbyculture.com/compare/hebbia-vs-huggingface)
-   [→ Hebbia vs incident.io](https://jobsbyculture.com/compare/hebbia-vs-incidentio)
-   [→ Hebbia vs Labelbox](https://jobsbyculture.com/compare/hebbia-vs-labelbox)
-   [→ Hebbia vs Lambda](https://jobsbyculture.com/compare/hebbia-vs-lambda)
-   [→ Hebbia vs LangChain](https://jobsbyculture.com/compare/hebbia-vs-langchain)
-   [→ Hebbia vs Linear](https://jobsbyculture.com/compare/hebbia-vs-linear)
-   [→ Hebbia vs Lovable](https://jobsbyculture.com/compare/hebbia-vs-lovable)
-   [→ Hebbia vs Mercor](https://jobsbyculture.com/compare/hebbia-vs-mercor)
-   [→ Hebbia vs Mercury](https://jobsbyculture.com/compare/hebbia-vs-mercury)
-   [→ Hebbia vs Mistral AI](https://jobsbyculture.com/compare/hebbia-vs-mistral)
-   [→ Hebbia vs Modal](https://jobsbyculture.com/compare/hebbia-vs-modal)
-   [→ Hebbia vs MongoDB](https://jobsbyculture.com/compare/hebbia-vs-mongodb)
-   [→ Hebbia vs n8n](https://jobsbyculture.com/compare/hebbia-vs-n8n)
-   [→ Hebbia vs Navan](https://jobsbyculture.com/compare/hebbia-vs-navan)
-   [→ Hebbia vs Notion](https://jobsbyculture.com/compare/hebbia-vs-notion)
-   [→ Hebbia vs OpenAI](https://jobsbyculture.com/compare/hebbia-vs-openai)
-   [→ Hebbia vs Perplexity AI](https://jobsbyculture.com/compare/hebbia-vs-perplexity)
-   [→ Hebbia vs Pinecone](https://jobsbyculture.com/compare/hebbia-vs-pinecone)
-   [→ Hebbia vs Plaid](https://jobsbyculture.com/compare/hebbia-vs-plaid)
-   [→ Hebbia vs Poolside AI](https://jobsbyculture.com/compare/hebbia-vs-poolside)
-   [→ Hebbia vs PostHog](https://jobsbyculture.com/compare/hebbia-vs-posthog)
-   [→ Hebbia vs Pylon](https://jobsbyculture.com/compare/hebbia-vs-pylon)
-   [→ Hebbia vs Ramp](https://jobsbyculture.com/compare/hebbia-vs-ramp)
-   [→ Hebbia vs Replit](https://jobsbyculture.com/compare/hebbia-vs-replit)
-   [→ Hebbia vs Runway](https://jobsbyculture.com/compare/hebbia-vs-runway)
-   [→ Hebbia vs Samsara](https://jobsbyculture.com/compare/hebbia-vs-samsara)
-   [→ Hebbia vs Scale AI](https://jobsbyculture.com/compare/hebbia-vs-scale)
-   [→ Hebbia vs Sierra AI](https://jobsbyculture.com/compare/hebbia-vs-sierra)
-   [→ Hebbia vs Snowflake](https://jobsbyculture.com/compare/hebbia-vs-snowflake)
-   [→ Hebbia vs Stripe](https://jobsbyculture.com/compare/hebbia-vs-stripe)
-   [→ Hebbia vs Suno](https://jobsbyculture.com/compare/hebbia-vs-suno)
-   [→ Hebbia vs Supabase](https://jobsbyculture.com/compare/hebbia-vs-supabase)
-   [→ Hebbia vs Synthesia](https://jobsbyculture.com/compare/hebbia-vs-synthesia)
-   [→ Hebbia vs Tailscale](https://jobsbyculture.com/compare/hebbia-vs-tailscale)
-   [→ Hebbia vs Together AI](https://jobsbyculture.com/compare/hebbia-vs-together)
-   [→ Hebbia vs Twilio](https://jobsbyculture.com/compare/hebbia-vs-twilio)
-   [→ Hebbia vs Vanta](https://jobsbyculture.com/compare/hebbia-vs-vanta)
-   [→ Hebbia vs Vast AI](https://jobsbyculture.com/compare/hebbia-vs-vast)
-   [→ Hebbia vs Vercel](https://jobsbyculture.com/compare/hebbia-vs-vercel)
-   [→ Hebbia vs Wayve](https://jobsbyculture.com/compare/hebbia-vs-wayve)
-   [→ Hebbia vs Weaviate](https://jobsbyculture.com/compare/hebbia-vs-weaviate)
-   [→ Hebbia vs Webflow](https://jobsbyculture.com/compare/hebbia-vs-webflow)
-   [→ Hebbia vs Writer](https://jobsbyculture.com/compare/hebbia-vs-writer)



🏢

### Claim _Hebbia_

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## Document: Helsing Culture & Jobs | JobsByCulture

# Helsing Culture & Jobs | JobsByCulture

> Helsing engineering culture: 4.0 Glassdoor, 3.6 WLB, European defense AI unicorn. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/helsing
Markdown: https://jobsbyculture.com/companies/helsing.md
Last updated: 2026-07-14

---
![Helsing logo](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

# Helsing

European Defense AI — Building Sovereign AI for Democratic Nations

The consensus on Helsing: Highest talent density in European defense tech with a genuinely important mission and strong comp, but the pace is relentless and management depth is still catching up with growth.

2021

Founded

Munich

Headquarters

~760

Employees

$18B

Valuation

Free Work at Helsing? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Helsing

Helsing is a European defense AI company headquartered in Munich with offices in Paris and London. Founded in 2021 by Torsten Reil, Gundbert Scherf, and Niklas Köhler, it has rapidly grown to an ~$18B valuation in a Dragoneer-led 2026 round (after closing a €600M Series D at ~€12B in June 2025) by building real-time battlefield decision software for NATO allies. The culture is intensely engineering-driven with some of the highest talent density in European tech — but the mission-critical nature of the work means long hours and a fast operational tempo that isn't for everyone.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Product Impact](https://jobsbyculture.com/values/product-impact) [Equity](https://jobsbyculture.com/values/equity) [Learning](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Helsing Glassdoor Ratings & _Employee Reviews_

4.0

Overall Glassdoor Score

Based on employee reviews

Culture & Values 4.2

Compensation & Benefits 4.3

Senior Management 3.6

Career Opportunities 4.0

Work-Life Balance 3.6

Overall Rating 4.0

78% Recommend to a Friend

Employee Review Themes

## Working at Helsing: _Pros & Cons_

### ✓ What employees love

-   ✓Highest talent density in European tech — brilliant colleagues
-   ✓Important mission with competitive salary and strong equity
-   ✓Cutting-edge AI work with real-world impact on defense and security
-   ✓Fast learning curve in a deeply technical engineering culture

### ✗ What could be better

-   ✗Excessive work hour expectations — WLB is not a priority
-   ✗Inexperienced management in some areas as the company scales fast
-   ✗Defense sector secrecy can limit transparency and open collaboration

Open Positions

## Join the _Helsing_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=helsing)

Explore More

## Related _content_

### Blog Posts

-   [→ Defense Tech Hiring Boom 2026: Anduril, Palantir & the $49B Talent War](https://jobsbyculture.com/blog/defense-tech-hiring-boom-2026)
-   [→ The EU AI Act Is Creating a New Class of Tech Jobs (2026)](https://jobsbyculture.com/blog/eu-ai-act-hiring-impact-2026)
-   [→ OpenAI's $122B Round: What It Means for AI Jobs & Who's Hiring](https://jobsbyculture.com/blog/openai-122b-funding-ai-jobs-2026)
-   [→ Celonis in 2026: 3,800 Employees, $13B Valuation, Salary & Culture](https://jobsbyculture.com/blog/working-at-celonis-2026)
-   [→ Working at Helsing in 2026: Europe's $18B Defense AI Startup, Culture & Salary](https://jobsbyculture.com/blog/working-at-helsing-2026)

### Compare Helsing

-   [→ Helsing vs Abridge](https://jobsbyculture.com/compare/abridge-vs-helsing)
-   [→ Helsing vs Adyen](https://jobsbyculture.com/compare/adyen-vs-helsing)
-   [→ Helsing vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-helsing)
-   [→ Helsing vs Airtable](https://jobsbyculture.com/compare/airtable-vs-helsing)
-   [→ Helsing vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-helsing)
-   [→ Helsing vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-helsing)
-   [→ Helsing vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-helsing)
-   [→ Helsing vs Asana](https://jobsbyculture.com/compare/asana-vs-helsing)
-   [→ Helsing vs Baseten](https://jobsbyculture.com/compare/baseten-vs-helsing)
-   [→ Helsing vs Brex](https://jobsbyculture.com/compare/brex-vs-helsing)
-   [→ Helsing vs Celonis](https://jobsbyculture.com/compare/celonis-vs-helsing)
-   [→ Helsing vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-helsing)
-   [→ Helsing vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-helsing)
-   [→ Helsing vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-helsing)
-   [→ Helsing vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-helsing)
-   [→ Helsing vs Cohere](https://jobsbyculture.com/compare/cohere-vs-helsing)
-   [→ Helsing vs Contentful](https://jobsbyculture.com/compare/contentful-vs-helsing)
-   [→ Helsing vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-helsing)
-   [→ Helsing vs Cresta](https://jobsbyculture.com/compare/cresta-vs-helsing)
-   [→ Helsing vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-helsing)
-   [→ Helsing vs Cursor](https://jobsbyculture.com/compare/cursor-vs-helsing)
-   [→ Helsing vs Databricks](https://jobsbyculture.com/compare/databricks-vs-helsing)
-   [→ Helsing vs Datadog](https://jobsbyculture.com/compare/datadog-vs-helsing)
-   [→ Helsing vs Decagon](https://jobsbyculture.com/compare/decagon-vs-helsing)
-   [→ Helsing vs DeepL](https://jobsbyculture.com/compare/deepl-vs-helsing)
-   [→ Helsing vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-helsing)
-   [→ Helsing vs Descript](https://jobsbyculture.com/compare/descript-vs-helsing)
-   [→ Helsing vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-helsing)
-   [→ Helsing vs Elastic](https://jobsbyculture.com/compare/elastic-vs-helsing)
-   [→ Helsing vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-helsing)
-   [→ Helsing vs Figma](https://jobsbyculture.com/compare/figma-vs-helsing)
-   [→ Helsing vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-helsing)
-   [→ Helsing vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-helsing)
-   [→ Helsing vs Glean](https://jobsbyculture.com/compare/glean-vs-helsing)
-   [→ Helsing vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-helsing)
-   [→ Helsing vs Granola](https://jobsbyculture.com/compare/granola-vs-helsing)
-   [→ Helsing vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-helsing)
-   [→ Helsing vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-helsing)
-   [→ Helsing vs HubSpot](https://jobsbyculture.com/compare/helsing-vs-hubspot)
-   [→ Helsing vs Hugging Face](https://jobsbyculture.com/compare/helsing-vs-huggingface)
-   [→ Helsing vs incident.io](https://jobsbyculture.com/compare/helsing-vs-incidentio)
-   [→ Helsing vs Labelbox](https://jobsbyculture.com/compare/helsing-vs-labelbox)
-   [→ Helsing vs Lambda](https://jobsbyculture.com/compare/helsing-vs-lambda)
-   [→ Helsing vs LangChain](https://jobsbyculture.com/compare/helsing-vs-langchain)
-   [→ Helsing vs Linear](https://jobsbyculture.com/compare/helsing-vs-linear)
-   [→ Helsing vs Lovable](https://jobsbyculture.com/compare/helsing-vs-lovable)
-   [→ Helsing vs Mercor](https://jobsbyculture.com/compare/helsing-vs-mercor)
-   [→ Helsing vs Mercury](https://jobsbyculture.com/compare/helsing-vs-mercury)
-   [→ Helsing vs Mistral AI](https://jobsbyculture.com/compare/helsing-vs-mistral)
-   [→ Helsing vs Modal](https://jobsbyculture.com/compare/helsing-vs-modal)
-   [→ Helsing vs MongoDB](https://jobsbyculture.com/compare/helsing-vs-mongodb)
-   [→ Helsing vs n8n](https://jobsbyculture.com/compare/helsing-vs-n8n)
-   [→ Helsing vs Navan](https://jobsbyculture.com/compare/helsing-vs-navan)
-   [→ Helsing vs Notion](https://jobsbyculture.com/compare/helsing-vs-notion)
-   [→ Helsing vs OpenAI](https://jobsbyculture.com/compare/helsing-vs-openai)
-   [→ Helsing vs Perplexity AI](https://jobsbyculture.com/compare/helsing-vs-perplexity)
-   [→ Helsing vs Pinecone](https://jobsbyculture.com/compare/helsing-vs-pinecone)
-   [→ Helsing vs Plaid](https://jobsbyculture.com/compare/helsing-vs-plaid)
-   [→ Helsing vs Poolside AI](https://jobsbyculture.com/compare/helsing-vs-poolside)
-   [→ Helsing vs PostHog](https://jobsbyculture.com/compare/helsing-vs-posthog)
-   [→ Helsing vs Pylon](https://jobsbyculture.com/compare/helsing-vs-pylon)
-   [→ Helsing vs Ramp](https://jobsbyculture.com/compare/helsing-vs-ramp)
-   [→ Helsing vs Replit](https://jobsbyculture.com/compare/helsing-vs-replit)
-   [→ Helsing vs Runway](https://jobsbyculture.com/compare/helsing-vs-runway)
-   [→ Helsing vs Samsara](https://jobsbyculture.com/compare/helsing-vs-samsara)
-   [→ Helsing vs Scale AI](https://jobsbyculture.com/compare/helsing-vs-scale)
-   [→ Helsing vs Sierra AI](https://jobsbyculture.com/compare/helsing-vs-sierra)
-   [→ Helsing vs Snowflake](https://jobsbyculture.com/compare/helsing-vs-snowflake)
-   [→ Helsing vs Stripe](https://jobsbyculture.com/compare/helsing-vs-stripe)
-   [→ Helsing vs Suno](https://jobsbyculture.com/compare/helsing-vs-suno)
-   [→ Helsing vs Supabase](https://jobsbyculture.com/compare/helsing-vs-supabase)
-   [→ Helsing vs Synthesia](https://jobsbyculture.com/compare/helsing-vs-synthesia)
-   [→ Helsing vs Tailscale](https://jobsbyculture.com/compare/helsing-vs-tailscale)
-   [→ Helsing vs Together AI](https://jobsbyculture.com/compare/helsing-vs-together)
-   [→ Helsing vs Twilio](https://jobsbyculture.com/compare/helsing-vs-twilio)
-   [→ Helsing vs Vanta](https://jobsbyculture.com/compare/helsing-vs-vanta)
-   [→ Helsing vs Vast AI](https://jobsbyculture.com/compare/helsing-vs-vast)
-   [→ Helsing vs Vercel](https://jobsbyculture.com/compare/helsing-vs-vercel)
-   [→ Helsing vs Wayve](https://jobsbyculture.com/compare/helsing-vs-wayve)
-   [→ Helsing vs Weaviate](https://jobsbyculture.com/compare/helsing-vs-weaviate)
-   [→ Helsing vs Webflow](https://jobsbyculture.com/compare/helsing-vs-webflow)
-   [→ Helsing vs Writer](https://jobsbyculture.com/compare/helsing-vs-writer)



🏢

### Claim _Helsing_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

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We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Hippocratic AI Glassdoor, Culture & Careers 2026 | JobsByCulture

# Hippocratic AI Glassdoor, Culture & Careers 2026 | JobsByCulture

> Hippocratic AI company profile: 3.9 Glassdoor, ~264 employees, $150k–$350k comp. Work-life balance, culture reviews, and open careers at the healthcare AI leader.

Source: https://jobsbyculture.com/companies/hippocratic-ai
Markdown: https://jobsbyculture.com/companies/hippocratic-ai.md
Last updated: 2026-07-14

---
![Hippocratic AI logo](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

# Hippocratic AI

Healthcare AI — Building Clinically Safe Generative AI Agents

The consensus on Hippocratic AI: Choose Hippocratic AI if you want to build AI that genuinely saves lives — but expect startup intensity and five days a week in Palo Alto.

2023

Founded

Palo Alto, CA

Headquarters

~264

Employees

$3.5B

Valuation

Free Work at Hippocratic AI? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Hippocratic AI

Hippocratic AI is building the only generative AI system capable of safe, autonomous clinical conversations with patients. Founded in 2023 and backed by $404M from Andreessen Horowitz, General Catalyst, and NVIDIA, the company is on a mission to bring healthcare abundance through AI. The culture is anchored in genuine patient impact — every new hire takes the Hippocratic Oath together, setting the tone from day one. It's a fast-moving environment where engineers, researchers, and clinicians collaborate intensely to solve problems that directly affect human health.

[Mission-Driven](https://jobsbyculture.com/values/social-impact) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship-Fast](https://jobsbyculture.com/values/ship-fast) [Many-Hats](https://jobsbyculture.com/values/many-hats) [Learning & Growth](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Hippocratic AI Glassdoor Ratings & _Employee Reviews_

3.9

Overall Glassdoor Score

Based on 32 reviews

Culture & Values 3.5

Work-Life Balance 3.2

Diversity & Inclusion 4.3

Career Opportunities 4.0

Overall Rating 3.9

86% Recommend to a Friend

Employee Review Themes

## Working at Hippocratic AI: _Pros & Cons_

### ✓ What employees love

-   ✓ Genuinely mission-driven — new hires take the Hippocratic Oath together on day one
-   ✓ Exceptional recruiting and onboarding — described as best-in-class by multiple reviewers
-   ✓ Career opportunities rated 4.0/5 — rapid growth creates fast advancement paths
-   ✓ Clinically validated product with real patient impact — your work actually saves lives

### ✗ What could be better

-   ✗ Work-life balance rated 3.2/5 — long hours common, including some weekends
-   ✗ Fully in-office five days a week in Palo Alto — zero remote flexibility
-   ✗ Everyone wears multiple hats — energizing for some, stressful for others
-   ✗ Scaling quickly can make it hard to build culture beyond the "rise & grind" pace

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python LLMs Voice AI NLP

#### Product

The only generative AI system capable of safe, autonomous clinical conversations with patients. Voice-based healthcare agents that handle follow-ups, pre-op calls, and chronic care management.

#### AI & Safety

Deep focus on clinical safety and evaluation. Applied ML engineers build evaluation pipelines to ensure AI agents meet healthcare-grade reliability standards. Safety is not an afterthought — it's the product.

#### Team Structure

~264 employees across engineering, research, clinical, and go-to-market. Engineers work closely with clinicians to build and validate AI agents. Cross-functional by necessity, not by choice.

Open Positions

## Join the _Hippocratic AI_ team

Explore open roles at Hippocratic AI below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=hippocratic-ai)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ $300B in Q1 2026: The AI Funding Boom & What It Means for Job Seekers](https://jobsbyculture.com/blog/ai-startup-funding-hiring-2026)
-   [→ Fastest-Growing Tech Companies Hiring in 2026: Who’s Scaling the Fastest](https://jobsbyculture.com/blog/fastest-growing-tech-companies-2026)
-   [→ The Two-Speed Tech Hiring Market in 2026: AI vs Everything Else](https://jobsbyculture.com/blog/two-speed-tech-hiring-market-2026)
-   [→ Hippocratic AI in 2026: $3.5B Valuation, 264 Employees, Culture & Salary](https://jobsbyculture.com/blog/working-at-hippocratic-ai-2026)



🏢

### Claim _Hippocratic AI_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: HubSpot Culture & Jobs | JobsByCulture

# HubSpot Culture & Jobs | JobsByCulture

> HubSpot engineering culture: 4.3 Glassdoor, legendary Culture Code, remote-first. See 171 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/hubspot
Markdown: https://jobsbyculture.com/companies/hubspot.md
Last updated: 2026-07-14

---
![HubSpot logo](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

# HubSpot

CRM Platform — Legendary Culture Code, Remote-First

The consensus on HubSpot: Choose HubSpot if you want legendary culture with real flexibility and psychological safety — but comp is below FAANG.

2006

Founded

Cambridge, MA

Headquarters

~8,900

Employees

NYSE: HUBS

Public

Free Work at HubSpot? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at HubSpot

HubSpot's Culture Code is legendary in the tech industry — a public document outlining their commitment to transparency, autonomy, and flexibility. As a remote-first organization with ~8,900 employees, they've built a genuinely inclusive environment with high psychological safety, strong work-life balance, and continuous learning opportunities.

[Diverse & Inclusive](https://jobsbyculture.com/values/diverse) [Continuous Learning](https://jobsbyculture.com/values/learning) [Work-Life Balance](https://jobsbyculture.com/values/wlb) [Transparent](https://jobsbyculture.com/values/transparent) [Flexible Hours](https://jobsbyculture.com/values/flex-hours) [Psychological Safety](https://jobsbyculture.com/values/psych-safety)

Glassdoor Ratings

## HubSpot Glassdoor Ratings & _Employee Reviews_

4.3

Overall Glassdoor Score

Based on 3,500 reviews

Culture & Values 4.5

Work-Life Balance 4.1

Compensation & Benefits 3.9

Career Opportunities 4.0

Senior Management 4.1

Overall Rating 4.3

87% Recommend to a Friend

92% CEO Approval

Employee Review Themes

## Working at HubSpot: _Pros & Cons_

### ✓ What employees love

-   ✓ Culture Code is legendary — transparency, autonomy, flexibility are real
-   ✓ Remote-first done right
-   ✓ Strong engineering blog and internal learning
-   ✓ Genuinely inclusive, high psychological safety

### ✗ What could be better

-   ✗ Enterprise sales culture can clash with eng
-   ✗ Comp below FAANG for senior roles
-   ✗ Large org = slower decisions
-   ✗ Some teams feel bureaucratic

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Java Python React

#### Platform

HubSpot CRM Platform

#### Open Source & Blog

Active engineering blog with deep technical content. Strong open-source contributions to the developer community.

#### Team Structure

Autonomous engineering teams with genuine ownership. Remote-first culture that actually works, with strong async communication practices.

Open Positions

## Join the _HubSpot_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=hubspot)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ AI Jobs in Paris 2026: 170 Roles at Mistral, Datadog, Hugging Face & 10 More Companies](https://jobsbyculture.com/blog/ai-jobs-paris-2026)
-   [→ Best AI & Tech Companies for Engineers in 2026](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)

### Compare HubSpot

-   [→ HubSpot vs Abridge](https://jobsbyculture.com/compare/abridge-vs-hubspot)
-   [→ HubSpot vs Adyen](https://jobsbyculture.com/compare/adyen-vs-hubspot)
-   [→ HubSpot vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-hubspot)
-   [→ HubSpot vs Airtable](https://jobsbyculture.com/compare/airtable-vs-hubspot)
-   [→ HubSpot vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-hubspot)
-   [→ HubSpot vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-hubspot)
-   [→ HubSpot vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-hubspot)
-   [→ HubSpot vs Asana](https://jobsbyculture.com/compare/asana-vs-hubspot)
-   [→ HubSpot vs Baseten](https://jobsbyculture.com/compare/baseten-vs-hubspot)
-   [→ HubSpot vs Brex](https://jobsbyculture.com/compare/brex-vs-hubspot)
-   [→ HubSpot vs Celonis](https://jobsbyculture.com/compare/celonis-vs-hubspot)
-   [→ HubSpot vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-hubspot)
-   [→ HubSpot vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-hubspot)
-   [→ HubSpot vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-hubspot)
-   [→ HubSpot vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-hubspot)
-   [→ HubSpot vs Cohere](https://jobsbyculture.com/compare/cohere-vs-hubspot)
-   [→ HubSpot vs Contentful](https://jobsbyculture.com/compare/contentful-vs-hubspot)
-   [→ HubSpot vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-hubspot)
-   [→ HubSpot vs Cresta](https://jobsbyculture.com/compare/cresta-vs-hubspot)
-   [→ HubSpot vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-hubspot)
-   [→ HubSpot vs Cursor](https://jobsbyculture.com/compare/cursor-vs-hubspot)
-   [→ HubSpot vs Databricks](https://jobsbyculture.com/compare/databricks-vs-hubspot)
-   [→ HubSpot vs Datadog](https://jobsbyculture.com/compare/datadog-vs-hubspot)
-   [→ HubSpot vs Decagon](https://jobsbyculture.com/compare/decagon-vs-hubspot)
-   [→ HubSpot vs DeepL](https://jobsbyculture.com/compare/deepl-vs-hubspot)
-   [→ HubSpot vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-hubspot)
-   [→ HubSpot vs Descript](https://jobsbyculture.com/compare/descript-vs-hubspot)
-   [→ HubSpot vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-hubspot)
-   [→ HubSpot vs Elastic](https://jobsbyculture.com/compare/elastic-vs-hubspot)
-   [→ HubSpot vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-hubspot)
-   [→ HubSpot vs Figma](https://jobsbyculture.com/compare/figma-vs-hubspot)
-   [→ HubSpot vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-hubspot)
-   [→ HubSpot vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-hubspot)
-   [→ HubSpot vs Glean](https://jobsbyculture.com/compare/glean-vs-hubspot)
-   [→ HubSpot vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-hubspot)
-   [→ HubSpot vs Granola](https://jobsbyculture.com/compare/granola-vs-hubspot)
-   [→ HubSpot vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-hubspot)
-   [→ HubSpot vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-hubspot)
-   [→ HubSpot vs Helsing](https://jobsbyculture.com/compare/helsing-vs-hubspot)
-   [→ HubSpot vs Hugging Face](https://jobsbyculture.com/compare/hubspot-vs-huggingface)
-   [→ HubSpot vs incident.io](https://jobsbyculture.com/compare/hubspot-vs-incidentio)
-   [→ HubSpot vs Labelbox](https://jobsbyculture.com/compare/hubspot-vs-labelbox)
-   [→ HubSpot vs Lambda](https://jobsbyculture.com/compare/hubspot-vs-lambda)
-   [→ HubSpot vs LangChain](https://jobsbyculture.com/compare/hubspot-vs-langchain)
-   [→ HubSpot vs Linear](https://jobsbyculture.com/compare/hubspot-vs-linear)
-   [→ HubSpot vs Lovable](https://jobsbyculture.com/compare/hubspot-vs-lovable)
-   [→ HubSpot vs Mercor](https://jobsbyculture.com/compare/hubspot-vs-mercor)
-   [→ HubSpot vs Mercury](https://jobsbyculture.com/compare/hubspot-vs-mercury)
-   [→ HubSpot vs Mistral AI](https://jobsbyculture.com/compare/hubspot-vs-mistral)
-   [→ HubSpot vs Modal](https://jobsbyculture.com/compare/hubspot-vs-modal)
-   [→ HubSpot vs MongoDB](https://jobsbyculture.com/compare/hubspot-vs-mongodb)
-   [→ HubSpot vs n8n](https://jobsbyculture.com/compare/hubspot-vs-n8n)
-   [→ HubSpot vs Navan](https://jobsbyculture.com/compare/hubspot-vs-navan)
-   [→ HubSpot vs Notion](https://jobsbyculture.com/compare/hubspot-vs-notion)
-   [→ HubSpot vs OpenAI](https://jobsbyculture.com/compare/hubspot-vs-openai)
-   [→ HubSpot vs Perplexity AI](https://jobsbyculture.com/compare/hubspot-vs-perplexity)
-   [→ HubSpot vs Pinecone](https://jobsbyculture.com/compare/hubspot-vs-pinecone)
-   [→ HubSpot vs Plaid](https://jobsbyculture.com/compare/hubspot-vs-plaid)
-   [→ HubSpot vs Poolside AI](https://jobsbyculture.com/compare/hubspot-vs-poolside)
-   [→ HubSpot vs PostHog](https://jobsbyculture.com/compare/hubspot-vs-posthog)
-   [→ HubSpot vs Pylon](https://jobsbyculture.com/compare/hubspot-vs-pylon)
-   [→ HubSpot vs Ramp](https://jobsbyculture.com/compare/hubspot-vs-ramp)
-   [→ HubSpot vs Replit](https://jobsbyculture.com/compare/hubspot-vs-replit)
-   [→ HubSpot vs Runway](https://jobsbyculture.com/compare/hubspot-vs-runway)
-   [→ HubSpot vs salesforce](https://jobsbyculture.com/compare/hubspot-vs-salesforce)
-   [→ HubSpot vs Samsara](https://jobsbyculture.com/compare/hubspot-vs-samsara)
-   [→ HubSpot vs Scale AI](https://jobsbyculture.com/compare/hubspot-vs-scale)
-   [→ HubSpot vs Sierra AI](https://jobsbyculture.com/compare/hubspot-vs-sierra)
-   [→ HubSpot vs Snowflake](https://jobsbyculture.com/compare/hubspot-vs-snowflake)
-   [→ HubSpot vs Stripe](https://jobsbyculture.com/compare/hubspot-vs-stripe)
-   [→ HubSpot vs Suno](https://jobsbyculture.com/compare/hubspot-vs-suno)
-   [→ HubSpot vs Supabase](https://jobsbyculture.com/compare/hubspot-vs-supabase)
-   [→ HubSpot vs Synthesia](https://jobsbyculture.com/compare/hubspot-vs-synthesia)
-   [→ HubSpot vs Tailscale](https://jobsbyculture.com/compare/hubspot-vs-tailscale)
-   [→ HubSpot vs Together AI](https://jobsbyculture.com/compare/hubspot-vs-together)
-   [→ HubSpot vs Twilio](https://jobsbyculture.com/compare/hubspot-vs-twilio)
-   [→ HubSpot vs Vanta](https://jobsbyculture.com/compare/hubspot-vs-vanta)
-   [→ HubSpot vs Vast AI](https://jobsbyculture.com/compare/hubspot-vs-vast)
-   [→ HubSpot vs Vercel](https://jobsbyculture.com/compare/hubspot-vs-vercel)
-   [→ HubSpot vs Wayve](https://jobsbyculture.com/compare/hubspot-vs-wayve)
-   [→ HubSpot vs Weaviate](https://jobsbyculture.com/compare/hubspot-vs-weaviate)
-   [→ HubSpot vs Webflow](https://jobsbyculture.com/compare/hubspot-vs-webflow)
-   [→ HubSpot vs Writer](https://jobsbyculture.com/compare/hubspot-vs-writer)



🏢

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---

## Document: Hugging Face Culture & Jobs | JobsByCulture

# Hugging Face Culture & Jobs | JobsByCulture

> Hugging Face engineering culture: 4.4 Glassdoor, open-source DNA, remote-first. See 7 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/huggingface
Markdown: https://jobsbyculture.com/companies/huggingface.md
Last updated: 2026-07-14

---
![Hugging Face logo](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

# Hugging Face

The AI Community's Open-Source Platform

The consensus on Hugging Face: Choose Hugging Face if you want to build tools millions of ML devs use with true remote freedom — but comp lags FAANG.

2016

Founded

New York

Headquarters

~680

Employees

$4.5B

Valuation

Free Work at Hugging Face? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Hugging Face

Hugging Face is the beating heart of the open-source AI community. Founded in 2016 by Clement Delangue, Julien Chaumond, and Thomas Wolf, the company has grown from a chatbot startup into the default platform for sharing ML models, datasets, and demos. Their culture mirrors their product: open by default, collaborative, and community-driven. With a remote-first, async-friendly approach and a genuinely flat hierarchy, engineers here have the autonomy to ship fast and contribute directly to projects used by millions of developers worldwide.

[Open-Source](https://jobsbyculture.com/values/open-source) [Flat Hierarchy](https://jobsbyculture.com/values/flat) [Remote-First](https://jobsbyculture.com/values/remote) [Flex Hours](https://jobsbyculture.com/values/flex-hours) [Transparent](https://jobsbyculture.com/values/transparent) [Many Hats](https://jobsbyculture.com/values/many-hats) [Async Culture](https://jobsbyculture.com/values/async)

Glassdoor Ratings

## Hugging Face Glassdoor Ratings & _Employee Reviews_

4.4

Overall Glassdoor Score

Based on 55 reviews

Culture & Values 4.3

Work-Life Balance 4.1

Compensation & Benefits 3.9

Career Opportunities 4.4

Overall Rating 4.4

86% Recommend to a Friend

CEO: Clement Delangue

Employee Review Themes

## Working at Hugging Face: _Pros & Cons_

### ✓ What employees love

-   ✓ True open-source DNA — Transformers library, Hub, and the entire ecosystem are genuinely open. You work on things that millions of developers actually use.
-   ✓ Remote-first and async culture actually works. Teams coordinate across time zones without drowning in meetings.
-   ✓ Flat hierarchy where anyone can push to main. If you have a good idea, you ship it — no layers of approval.
-   ✓ Incredible community and developer love. The external ecosystem gives your work real-world impact and fast feedback loops.

### ✗ What could be better

-   ✗ Total comp can lag top-tier AI labs and FAANG. If maximizing pay is your top priority, you may feel the gap.
-   ✗ Fast-moving environment with lightweight processes. Context-switching is frequent and priorities shift quickly.
-   ✗ Career progression is unclear. There's no well-defined ladder, which can be frustrating for people who want structured growth.
-   ✗ Some teams are stretched thin. High-impact projects sometimes don't have enough hands, leading to burnout risk.

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python Rust PyTorch JAX TensorFlow

#### Open Source Projects

300,000+ open-source models hosted on the Hub. Core libraries include Transformers, Diffusers, Accelerate, Candle, and Tokenizers — all maintained by the engineering team in the open.

#### Community & Platform

The Hub is the default platform for sharing ML models, datasets, and demos. Engineers build tools used by millions of developers, with fast community feedback loops driving product decisions.

#### Team & Process

Small, autonomous squads with high ownership. Engineers contribute directly to open-source repos with community PRs. The culture encourages wearing many hats — from research to production to developer advocacy.

Open Positions

## Join the _Hugging Face_ team

... open positions.

🌐 Remote

✕ Clear

[See all 7 Hugging Face jobs →](https://jobsbyculture.com/jobs?company=huggingface)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ AI Jobs in Paris 2026: 170 Roles at Mistral, Datadog, Hugging Face & 10 More Companies](https://jobsbyculture.com/blog/ai-jobs-paris-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)

### Compare Hugging Face

-   [→ Hugging Face vs Abridge](https://jobsbyculture.com/compare/abridge-vs-huggingface)
-   [→ Hugging Face vs Adyen](https://jobsbyculture.com/compare/adyen-vs-huggingface)
-   [→ Hugging Face vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-huggingface)
-   [→ Hugging Face vs Airtable](https://jobsbyculture.com/compare/airtable-vs-huggingface)
-   [→ Hugging Face vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-huggingface)
-   [→ Hugging Face vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-huggingface)
-   [→ Hugging Face vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-huggingface)
-   [→ Hugging Face vs Asana](https://jobsbyculture.com/compare/asana-vs-huggingface)
-   [→ Hugging Face vs Baseten](https://jobsbyculture.com/compare/baseten-vs-huggingface)
-   [→ Hugging Face vs Brex](https://jobsbyculture.com/compare/brex-vs-huggingface)
-   [→ Hugging Face vs Celonis](https://jobsbyculture.com/compare/celonis-vs-huggingface)
-   [→ Hugging Face vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-huggingface)
-   [→ Hugging Face vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-huggingface)
-   [→ Hugging Face vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-huggingface)
-   [→ Hugging Face vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-huggingface)
-   [→ Hugging Face vs Cohere](https://jobsbyculture.com/compare/cohere-vs-huggingface)
-   [→ Hugging Face vs Contentful](https://jobsbyculture.com/compare/contentful-vs-huggingface)
-   [→ Hugging Face vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-huggingface)
-   [→ Hugging Face vs Cresta](https://jobsbyculture.com/compare/cresta-vs-huggingface)
-   [→ Hugging Face vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-huggingface)
-   [→ Hugging Face vs Cursor](https://jobsbyculture.com/compare/cursor-vs-huggingface)
-   [→ Hugging Face vs Databricks](https://jobsbyculture.com/compare/databricks-vs-huggingface)
-   [→ Hugging Face vs Datadog](https://jobsbyculture.com/compare/datadog-vs-huggingface)
-   [→ Hugging Face vs Decagon](https://jobsbyculture.com/compare/decagon-vs-huggingface)
-   [→ Hugging Face vs DeepL](https://jobsbyculture.com/compare/deepl-vs-huggingface)
-   [→ Hugging Face vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-huggingface)
-   [→ Hugging Face vs Descript](https://jobsbyculture.com/compare/descript-vs-huggingface)
-   [→ Hugging Face vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-huggingface)
-   [→ Hugging Face vs Elastic](https://jobsbyculture.com/compare/elastic-vs-huggingface)
-   [→ Hugging Face vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-huggingface)
-   [→ Hugging Face vs Figma](https://jobsbyculture.com/compare/figma-vs-huggingface)
-   [→ Hugging Face vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-huggingface)
-   [→ Hugging Face vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-huggingface)
-   [→ Hugging Face vs Glean](https://jobsbyculture.com/compare/glean-vs-huggingface)
-   [→ Hugging Face vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-huggingface)
-   [→ Hugging Face vs Granola](https://jobsbyculture.com/compare/granola-vs-huggingface)
-   [→ Hugging Face vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-huggingface)
-   [→ Hugging Face vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-huggingface)
-   [→ Hugging Face vs Helsing](https://jobsbyculture.com/compare/helsing-vs-huggingface)
-   [→ Hugging Face vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-huggingface)
-   [→ Hugging Face vs incident.io](https://jobsbyculture.com/compare/huggingface-vs-incidentio)
-   [→ Hugging Face vs Labelbox](https://jobsbyculture.com/compare/huggingface-vs-labelbox)
-   [→ Hugging Face vs Lambda](https://jobsbyculture.com/compare/huggingface-vs-lambda)
-   [→ Hugging Face vs LangChain](https://jobsbyculture.com/compare/huggingface-vs-langchain)
-   [→ Hugging Face vs Linear](https://jobsbyculture.com/compare/huggingface-vs-linear)
-   [→ Hugging Face vs Lovable](https://jobsbyculture.com/compare/huggingface-vs-lovable)
-   [→ Hugging Face vs Mercor](https://jobsbyculture.com/compare/huggingface-vs-mercor)
-   [→ Hugging Face vs Mercury](https://jobsbyculture.com/compare/huggingface-vs-mercury)
-   [→ Hugging Face vs Mistral AI](https://jobsbyculture.com/compare/huggingface-vs-mistral)
-   [→ Hugging Face vs Modal](https://jobsbyculture.com/compare/huggingface-vs-modal)
-   [→ Hugging Face vs MongoDB](https://jobsbyculture.com/compare/huggingface-vs-mongodb)
-   [→ Hugging Face vs n8n](https://jobsbyculture.com/compare/huggingface-vs-n8n)
-   [→ Hugging Face vs Navan](https://jobsbyculture.com/compare/huggingface-vs-navan)
-   [→ Hugging Face vs Notion](https://jobsbyculture.com/compare/huggingface-vs-notion)
-   [→ Hugging Face vs OpenAI](https://jobsbyculture.com/compare/huggingface-vs-openai)
-   [→ Hugging Face vs Perplexity AI](https://jobsbyculture.com/compare/huggingface-vs-perplexity)
-   [→ Hugging Face vs Pinecone](https://jobsbyculture.com/compare/huggingface-vs-pinecone)
-   [→ Hugging Face vs Plaid](https://jobsbyculture.com/compare/huggingface-vs-plaid)
-   [→ Hugging Face vs Poolside AI](https://jobsbyculture.com/compare/huggingface-vs-poolside)
-   [→ Hugging Face vs PostHog](https://jobsbyculture.com/compare/huggingface-vs-posthog)
-   [→ Hugging Face vs Pylon](https://jobsbyculture.com/compare/huggingface-vs-pylon)
-   [→ Hugging Face vs Ramp](https://jobsbyculture.com/compare/huggingface-vs-ramp)
-   [→ Hugging Face vs Replit](https://jobsbyculture.com/compare/huggingface-vs-replit)
-   [→ Hugging Face vs Runway](https://jobsbyculture.com/compare/huggingface-vs-runway)
-   [→ Hugging Face vs Samsara](https://jobsbyculture.com/compare/huggingface-vs-samsara)
-   [→ Hugging Face vs Scale AI](https://jobsbyculture.com/compare/huggingface-vs-scale)
-   [→ Hugging Face vs Sierra AI](https://jobsbyculture.com/compare/huggingface-vs-sierra)
-   [→ Hugging Face vs Snowflake](https://jobsbyculture.com/compare/huggingface-vs-snowflake)
-   [→ Hugging Face vs Stripe](https://jobsbyculture.com/compare/huggingface-vs-stripe)
-   [→ Hugging Face vs Suno](https://jobsbyculture.com/compare/huggingface-vs-suno)
-   [→ Hugging Face vs Supabase](https://jobsbyculture.com/compare/huggingface-vs-supabase)
-   [→ Hugging Face vs Synthesia](https://jobsbyculture.com/compare/huggingface-vs-synthesia)
-   [→ Hugging Face vs Tailscale](https://jobsbyculture.com/compare/huggingface-vs-tailscale)
-   [→ Hugging Face vs Together AI](https://jobsbyculture.com/compare/huggingface-vs-together)
-   [→ Hugging Face vs Twilio](https://jobsbyculture.com/compare/huggingface-vs-twilio)
-   [→ Hugging Face vs Vanta](https://jobsbyculture.com/compare/huggingface-vs-vanta)
-   [→ Hugging Face vs Vast AI](https://jobsbyculture.com/compare/huggingface-vs-vast)
-   [→ Hugging Face vs Vercel](https://jobsbyculture.com/compare/huggingface-vs-vercel)
-   [→ Hugging Face vs Wayve](https://jobsbyculture.com/compare/huggingface-vs-wayve)
-   [→ Hugging Face vs Weaviate](https://jobsbyculture.com/compare/huggingface-vs-weaviate)
-   [→ Hugging Face vs Webflow](https://jobsbyculture.com/compare/huggingface-vs-webflow)
-   [→ Hugging Face vs Writer](https://jobsbyculture.com/compare/huggingface-vs-writer)



🏢

### Claim _Hugging Face_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

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### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: incident.io Culture & Jobs | JobsByCulture

# incident.io Culture & Jobs | JobsByCulture

> incident.io culture: 4.5 Glassdoor, dedicated culture manager, strong benefits. See 21 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/incidentio
Markdown: https://jobsbyculture.com/companies/incidentio.md
Last updated: 2026-07-14

---
![incident.io logo](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

# incident.io

All-in-One Incident Management — On-Call, Response & Status Pages

The consensus on incident.io: Choose incident.io if you want a genuinely strong culture with excellent benefits and career growth — but expect London-centric work and rapid-scaling growing pains.

2021

Founded

London, UK

Headquarters

~200

Employees

~$400M

Valuation (Series B, 2025)

Free Work at incident.io? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at incident.io

Founded in 2021, incident.io is an all-in-one incident management platform that has built a genuinely strong engineering culture. With a dedicated culture manager role, the company practices its values rather than just stating them. The team emphasizes psychological safety, fast shipping, and continuous learning in a flat, engineering-driven environment where transparency is the default.

[Transparent](https://jobsbyculture.com/values/transparent) [Safe to Fail](https://jobsbyculture.com/values/psych-safety) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Learning & Growth](https://jobsbyculture.com/values/learning) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Flat Hierarchy](https://jobsbyculture.com/values/flat)

Glassdoor Ratings

## incident.io Glassdoor Ratings & _Employee Reviews_

4.5

Overall Glassdoor Score

Based on 34 reviews

Culture & Values 4.3

Compensation & Benefits 4.7

Senior Management 4.5

Career Opportunities 4.4

Work-Life Balance 4.1

Overall Rating 4.5

90% Recommend to a Friend

88% CEO Approval (Stephen Whitworth)

Employee Review Themes

## Working at incident.io: _Pros & Cons_

### ✓ What employees love

-   ✓ Strong culture with a dedicated culture manager role — values are practiced, not just stated
-   ✓ Excellent compensation and benefits rated 4.7/5 with strong career growth (4.4/5)
-   ✓ 90% recommend to a friend — the most statistically reliable score here (34 reviews)
-   ✓ Engineering-driven product company with genuine psychological safety
-   ✓ Recent $62M Series B at ~$400M valuation — strong growth with funding runway

### ✗ What could be better

-   ✗ London-centric with limited remote options for some roles
-   ✗ Rapid scaling can create instability — some report organizational growing pains
-   ✗ Growing team means processes are still maturing and roles may shift
-   ✗ Competitive incident management space (PagerDuty, Opsgenie, FireHydrant)

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Go TypeScript React PostgreSQL Terraform AWS

#### Open Source & Research

Maintains open-source projects including catalog-importer. Active in the incident management community. Regular conference talks and thought leadership.

#### Engineering Blog

Deep technical blog covering incident management, on-call practices, and engineering culture. [Read the blog →](https://incident.io/blog?ref=jobsbyculture.com)

#### Team Structure

London-based with growing remote presence. Product-focused engineering teams with high ownership. Dedicated culture manager ensures values are lived. Strong emphasis on psychological safety.

Open Positions

## Join the _incident.io_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=incidentio)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Best AI Companies for Work-Life Balance in New York (2026)](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-new-york-2026)
-   [→ Best AI Companies for WLB in SF (2026)](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-san-francisco-2026)
-   [→ 10 Tech Companies That Hire for Emotional Intelligence Over Raw IQ in 2026](https://jobsbyculture.com/blog/companies-that-hire-for-eq-2026)

### Compare incident.io

-   [→ incident.io vs Abridge](https://jobsbyculture.com/compare/abridge-vs-incidentio)
-   [→ incident.io vs Adyen](https://jobsbyculture.com/compare/adyen-vs-incidentio)
-   [→ incident.io vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-incidentio)
-   [→ incident.io vs Airtable](https://jobsbyculture.com/compare/airtable-vs-incidentio)
-   [→ incident.io vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-incidentio)
-   [→ incident.io vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-incidentio)
-   [→ incident.io vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-incidentio)
-   [→ incident.io vs Asana](https://jobsbyculture.com/compare/asana-vs-incidentio)
-   [→ incident.io vs Baseten](https://jobsbyculture.com/compare/baseten-vs-incidentio)
-   [→ incident.io vs Brex](https://jobsbyculture.com/compare/brex-vs-incidentio)
-   [→ incident.io vs Celonis](https://jobsbyculture.com/compare/celonis-vs-incidentio)
-   [→ incident.io vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-incidentio)
-   [→ incident.io vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-incidentio)
-   [→ incident.io vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-incidentio)
-   [→ incident.io vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-incidentio)
-   [→ incident.io vs Cohere](https://jobsbyculture.com/compare/cohere-vs-incidentio)
-   [→ incident.io vs Contentful](https://jobsbyculture.com/compare/contentful-vs-incidentio)
-   [→ incident.io vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-incidentio)
-   [→ incident.io vs Cresta](https://jobsbyculture.com/compare/cresta-vs-incidentio)
-   [→ incident.io vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-incidentio)
-   [→ incident.io vs Cursor](https://jobsbyculture.com/compare/cursor-vs-incidentio)
-   [→ incident.io vs Databricks](https://jobsbyculture.com/compare/databricks-vs-incidentio)
-   [→ incident.io vs Datadog](https://jobsbyculture.com/compare/datadog-vs-incidentio)
-   [→ incident.io vs Decagon](https://jobsbyculture.com/compare/decagon-vs-incidentio)
-   [→ incident.io vs DeepL](https://jobsbyculture.com/compare/deepl-vs-incidentio)
-   [→ incident.io vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-incidentio)
-   [→ incident.io vs Descript](https://jobsbyculture.com/compare/descript-vs-incidentio)
-   [→ incident.io vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-incidentio)
-   [→ incident.io vs Elastic](https://jobsbyculture.com/compare/elastic-vs-incidentio)
-   [→ incident.io vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-incidentio)
-   [→ incident.io vs Figma](https://jobsbyculture.com/compare/figma-vs-incidentio)
-   [→ incident.io vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-incidentio)
-   [→ incident.io vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-incidentio)
-   [→ incident.io vs Glean](https://jobsbyculture.com/compare/glean-vs-incidentio)
-   [→ incident.io vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-incidentio)
-   [→ incident.io vs Granola](https://jobsbyculture.com/compare/granola-vs-incidentio)
-   [→ incident.io vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-incidentio)
-   [→ incident.io vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-incidentio)
-   [→ incident.io vs Helsing](https://jobsbyculture.com/compare/helsing-vs-incidentio)
-   [→ incident.io vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-incidentio)
-   [→ incident.io vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-incidentio)
-   [→ incident.io vs Labelbox](https://jobsbyculture.com/compare/incidentio-vs-labelbox)
-   [→ incident.io vs Lambda](https://jobsbyculture.com/compare/incidentio-vs-lambda)
-   [→ incident.io vs LangChain](https://jobsbyculture.com/compare/incidentio-vs-langchain)
-   [→ incident.io vs Linear](https://jobsbyculture.com/compare/incidentio-vs-linear)
-   [→ incident.io vs Lovable](https://jobsbyculture.com/compare/incidentio-vs-lovable)
-   [→ incident.io vs Mercor](https://jobsbyculture.com/compare/incidentio-vs-mercor)
-   [→ incident.io vs Mercury](https://jobsbyculture.com/compare/incidentio-vs-mercury)
-   [→ incident.io vs Mistral AI](https://jobsbyculture.com/compare/incidentio-vs-mistral)
-   [→ incident.io vs Modal](https://jobsbyculture.com/compare/incidentio-vs-modal)
-   [→ incident.io vs MongoDB](https://jobsbyculture.com/compare/incidentio-vs-mongodb)
-   [→ incident.io vs n8n](https://jobsbyculture.com/compare/incidentio-vs-n8n)
-   [→ incident.io vs Navan](https://jobsbyculture.com/compare/incidentio-vs-navan)
-   [→ incident.io vs Notion](https://jobsbyculture.com/compare/incidentio-vs-notion)
-   [→ incident.io vs OpenAI](https://jobsbyculture.com/compare/incidentio-vs-openai)
-   [→ incident.io vs Perplexity AI](https://jobsbyculture.com/compare/incidentio-vs-perplexity)
-   [→ incident.io vs Pinecone](https://jobsbyculture.com/compare/incidentio-vs-pinecone)
-   [→ incident.io vs Plaid](https://jobsbyculture.com/compare/incidentio-vs-plaid)
-   [→ incident.io vs Poolside AI](https://jobsbyculture.com/compare/incidentio-vs-poolside)
-   [→ incident.io vs PostHog](https://jobsbyculture.com/compare/incidentio-vs-posthog)
-   [→ incident.io vs Pylon](https://jobsbyculture.com/compare/incidentio-vs-pylon)
-   [→ incident.io vs Ramp](https://jobsbyculture.com/compare/incidentio-vs-ramp)
-   [→ incident.io vs Replit](https://jobsbyculture.com/compare/incidentio-vs-replit)
-   [→ incident.io vs Runway](https://jobsbyculture.com/compare/incidentio-vs-runway)
-   [→ incident.io vs Samsara](https://jobsbyculture.com/compare/incidentio-vs-samsara)
-   [→ incident.io vs Scale AI](https://jobsbyculture.com/compare/incidentio-vs-scale)
-   [→ incident.io vs Sierra AI](https://jobsbyculture.com/compare/incidentio-vs-sierra)
-   [→ incident.io vs Snowflake](https://jobsbyculture.com/compare/incidentio-vs-snowflake)
-   [→ incident.io vs Stripe](https://jobsbyculture.com/compare/incidentio-vs-stripe)
-   [→ incident.io vs Suno](https://jobsbyculture.com/compare/incidentio-vs-suno)
-   [→ incident.io vs Supabase](https://jobsbyculture.com/compare/incidentio-vs-supabase)
-   [→ incident.io vs Synthesia](https://jobsbyculture.com/compare/incidentio-vs-synthesia)
-   [→ incident.io vs Tailscale](https://jobsbyculture.com/compare/incidentio-vs-tailscale)
-   [→ incident.io vs Together AI](https://jobsbyculture.com/compare/incidentio-vs-together)
-   [→ incident.io vs Twilio](https://jobsbyculture.com/compare/incidentio-vs-twilio)
-   [→ incident.io vs Vanta](https://jobsbyculture.com/compare/incidentio-vs-vanta)
-   [→ incident.io vs Vast AI](https://jobsbyculture.com/compare/incidentio-vs-vast)
-   [→ incident.io vs Vercel](https://jobsbyculture.com/compare/incidentio-vs-vercel)
-   [→ incident.io vs Wayve](https://jobsbyculture.com/compare/incidentio-vs-wayve)
-   [→ incident.io vs Weaviate](https://jobsbyculture.com/compare/incidentio-vs-weaviate)
-   [→ incident.io vs Webflow](https://jobsbyculture.com/compare/incidentio-vs-webflow)
-   [→ incident.io vs Writer](https://jobsbyculture.com/compare/incidentio-vs-writer)



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## Document: Instacart Glassdoor, Culture & Careers 2026 | JobsByCulture

# Instacart Glassdoor, Culture & Careers 2026 | JobsByCulture

> Instacart company profile: 3.6 Glassdoor, ~3,600 corporate employees, competitive engineering comp. Culture reviews and open careers at the grocery tech platform.

Source: https://jobsbyculture.com/companies/instacart
Markdown: https://jobsbyculture.com/companies/instacart.md
Last updated: 2026-07-14

---
![Instacart logo](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

# Instacart

Grocery Technology & Retail Enablement at Scale

The consensus on Instacart: Competitive engineering comp and genuinely hard ML/logistics problems. The Flex First policy offers real location flexibility. The trade-off: overall employee satisfaction sits below top-tier tech employers, and career advancement scores are mixed.

2012

Founded

San Francisco

Headquarters

~3,600

Employees (corporate)

Public (CART)

Status

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Culture Overview

## What it's _really_ like to work at Instacart

Founded in 2012, Instacart went public on NASDAQ (CART) in 2023 and now powers grocery delivery for 2,200+ retail banners across nearly 100,000 locations. The engineering org works on genuinely complex problems at the intersection of ML, real-time logistics, and consumer product — from LLM-powered discovery recommendations to edge computing data systems. The company maintains a "Flex First" policy that allows employees to work remotely or from offices in San Francisco, Toronto, and New York. The commitment to diversity, equity, and belonging is documented with dedicated programs. Top-of-market RSU packages make Instacart competitive on total compensation for engineering roles.

[Product Impact](https://jobsbyculture.com/values/product-impact) [Learning & Growth](https://jobsbyculture.com/values/learning) [Diverse & Inclusive](https://jobsbyculture.com/values/diverse) [Strong Equity](https://jobsbyculture.com/values/equity)

Employee Ratings

## Instacart Employee Ratings & _Culture Scores_

3.6

Overall Glassdoor Rating

Based on 1,869 Glassdoor reviews

Culture & Values 3.3

Work-Life Balance 3.5

Compensation & Benefits 3.4

Career Opportunities 3.0

Overall Rating 3.6

62% Recommend to a Friend

Employee Review Themes

## Working at Instacart: _Pros & Cons_

### ✓ What employees love

-   ✓ Competitive engineering comp at a public company — meaningful RSU upside with $CART liquidity
-   ✓ Complex ML/logistics problems — LLMs, computer vision, real-time fulfillment at scale
-   ✓ Flex First policy — genuinely flexible remote options across US and Canada
-   ✓ Publicly traded with meaningful RSU packages (CART on NASDAQ)

### ✗ What could be better

-   ✗ Overall Glassdoor rating of 3.6 trails top-tier tech employers
-   ✗ Career Opportunities (3.0/5) is the lowest sub-score — advancement can feel limited
-   ✗ Compensation satisfaction (3.4/5) is mixed despite competitive absolute pay
-   ✗ Grocery delivery market faces consolidation headwinds — long-term trajectory uncertain

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python Kotlin Swift Go PostgreSQL Kafka

#### ML & AI Systems

Active tech blog covers LLM-powered discovery recommendations, computer vision for product recognition, and edge+cloud data flywheel systems at grocery scale.

#### Scale & Complexity

Real-time fulfillment matching across 100,000+ store locations. Engineers work on logistics optimization, demand forecasting, and marketplace algorithms that affect millions of daily orders.

#### Work Policy

Flex First with offices in San Francisco, Toronto, and New York. Team structure spans Engineering, Data Science, Product, Design, and Research. Dedicated DEI programs with career pathways. [Careers →](https://instacart.careers?ref=jobsbyculture.com)

Open Positions

## Join the _Instacart_ team

Explore open roles at Instacart below.

🌐 Remote

✕ Clear

[Browse all Instacart jobs →](https://jobsbyculture.com/jobs?company=instacart)

## Get culture-matched jobs _weekly_

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## Related _content_

### Blog Posts

-   [→ Best AI & Tech Companies for Engineers in 2026](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)
-   [→ AI Hiring Trends 2026](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ AI Company Employee Counts 2026](https://jobsbyculture.com/blog/ai-company-employee-count-2026)

### Similar Companies

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-   [→ Browse all companies in the Culture Directory](https://jobsbyculture.com/companies)

Explore More

## Related _content_

### Blog Posts

-   [→ 10 YC-Funded Companies Hiring 1,300+ Roles in 2026 — Ranked by Culture & Open Headcount](https://jobsbyculture.com/blog/yc-funded-companies-hiring-2026)



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## Document: Intercom Glassdoor, Culture & Careers 2026 | JobsByCulture

# Intercom Glassdoor, Culture & Careers 2026 | JobsByCulture

> Intercom company profile: 3.9 Glassdoor, ~1,600 employees, ships 180x/day. Work-life balance, culture reviews, and open careers at the AI customer service platform.

Source: https://jobsbyculture.com/companies/intercom
Markdown: https://jobsbyculture.com/companies/intercom.md
Last updated: 2026-07-14

---
![Intercom logo](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

# Intercom

AI Customer Service — 180 Deploys a Day

The consensus on Intercom: Founder-led after 15 years with a genuine shipping velocity culture. Engineers ship 180 times per day and have real product impact — the trade-off is a hybrid office requirement and mid-market comp.

2011

Founded

San Francisco

Headquarters

~1,600

Employees

180x/day

Deploy Cadence

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Culture Overview

## What it's _really_ like to work at Intercom

Founded in 2011 by Eoghan McCabe, Des Traynor, Ciaran Lee, and David Barrett, Intercom has remained founder-led for over 15 years — a rare achievement at this scale. The company powers AI customer service for 8,000+ businesses including major brands, combining an AI agent (Fin) with a modern helpdesk. The engineering culture is characterized by high velocity, technical depth, and a deliberate career development philosophy that supports an IC-to-management pendulum. The team deploys code 180 times per day, making it one of the highest-velocity engineering orgs in SaaS.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Product Impact](https://jobsbyculture.com/values/product-impact) [Learning & Growth](https://jobsbyculture.com/values/learning)

Employee Ratings

## Intercom Employee Ratings & _Culture Scores_

3.9

Overall Glassdoor Rating

Based on 471 Glassdoor reviews

Culture & Values 3.5

Work-Life Balance 3.5

Career Opportunities 3.5

Overall Rating 3.9

78% Recommend to a Friend

Employee Review Themes

## Working at Intercom: _Pros & Cons_

### ✓ What employees love

-   ✓ Ships code 180 times per day — one of the highest-velocity engineering orgs in SaaS
-   ✓ Founder-led after 15 years — original mission and product vision intact
-   ✓ Active public engineering blog with technically deep content
-   ✓ IC-to-management pendulum culture — career flexibility is real and encouraged

### ✗ What could be better

-   ✗ Hybrid 3-days-in-office requirement — not a remote-friendly company
-   ✗ Mid-market comp — can lag top AI labs for equivalent senior roles
-   ✗ Culture & Values and Career Opportunities sit at 3.5/5 — both have been called out in recent reviews
-   ✗ Inclusive work environment cited as an area needing improvement

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Ruby on Rails Ember.js Elixir Go PostgreSQL

#### Shipping Velocity

180 code deploys per day. The engineering blog explicitly documents how they maintain safety at speed — CI/CD, feature flags, and automated testing underpin every deploy.

#### AI-First Product

Fin, their AI customer service agent, is at the core of the product. Engineers work on real-time AI systems serving millions of customer interactions daily. [Engineering blog →](https://intercom.com/blog/engineering/?ref=jobsbyculture.com)

#### Career Structure

Supports an IC-to-management pendulum — engineers can switch to management and back. VP of Engineering publicly advocates for this model and provides training support.

Open Positions

## Join the _Intercom_ team

Explore open roles at Intercom below.

🌐 Remote

✕ Clear

[Browse all Intercom jobs →](https://jobsbyculture.com/jobs?company=intercom)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Best AI & Tech Companies for Engineers in 2026](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ AI Hiring Trends 2026](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)

### Similar Companies

-   [→ HubSpot — Culture & Careers](https://jobsbyculture.com/companies/hubspot)
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-   [→ Stripe — Culture & Careers](https://jobsbyculture.com/companies/stripe)
-   [→ Browse all companies in the Culture Directory](https://jobsbyculture.com/companies)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Agents Are Replacing SaaS — What It Means for Tech Careers in 2026](https://jobsbyculture.com/blog/ai-agents-replacing-saas-2026)
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-   [→ Working at Intercom in 2026: Culture, Compensation & What Employees Say](https://jobsbyculture.com/blog/working-at-intercom-2026)



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---

## Document: Iris Software Culture & Jobs | JobsByCulture

# Iris Software Culture & Jobs | JobsByCulture

> Iris Software culture and open roles: 3.8 Glassdoor, 35 years in business, ~3,700 employees, HQ in Edison NJ. Verified profile — employee experience, ratings, and live job openings.

Source: https://jobsbyculture.com/companies/iris-software
Markdown: https://jobsbyculture.com/companies/iris-software.md
Last updated: 2026-07-14

---
![Iris Software logo](https://www.google.com/s2/favicons?domain=irissoftware.com&sz=128)

# Iris Software VERIFIED PROFILE

Global IT Services & Digital Engineering — 35 Years, Privately Held, Edison NJ

Iris Software is a stable, established IT-services firm with real investment in people development (Great Manager Institute recognition three years running, iWIN women's leadership program) and a credible work-life balance signal — a strong fit for early-career tech professionals and engineers who prefer enterprise client work in BFSI, capital markets, and payments.

1991

Founded

Edison, NJ

Headquarters

~3,700

Employees

Private

Debt-free since 1991

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Culture Overview

## What it's _really_ like to work at Iris Software

Iris Software has built its 35-year reputation on a stated "Employee First, Client First" philosophy — with documented programs to back it up. Recognized as a **Great Place to Work**, named a **"Leadership Factory of India"** by the Great Manager Institute three consecutive years, and operating an active **iWIN women's leadership program**. Transparency rituals (180-degree feedback, skip-level meetings, townhalls, quarterly pulse surveys) are documented across HR materials. Stated company values: _Client-centricity, Employee Experience, Ownership, Collaboration, Entrepreneurship_.

[Learning & Development](https://jobsbyculture.com/values/learning) [Work-Life Balance](https://jobsbyculture.com/values/wlb) [Transparent](https://jobsbyculture.com/values/transparent) [Diverse & Inclusive](https://jobsbyculture.com/values/diverse)

Employee-Reported Ratings

## Iris Software Glassdoor Ratings & _Employee Reviews_

3.8

Overall Glassdoor Score

Based on 2,359+ employee reviews

Culture & Values 3.9

Work-Life Balance 3.8

Career Opportunities 3.7

Diversity & Inclusion (Edison) 4.0

WLB — Edison HQ specifically 4.7

Overall — Edison HQ specifically 4.5

76% Recommend to a Friend

72% Positive Business Outlook

Great Place to Work Certified

Note: Worldwide Glassdoor numbers reflect Iris's global workforce (US + India delivery centers). Edison NJ HQ-specific ratings run notably higher (4.5 overall, 4.7 WLB) — consistent with corporate-vs-delivery patterns at established IT-services firms.

Employee Review Themes

## Working at Iris Software: _Pros & Cons_

### ✓ What employees praise

-   ✓ Flexible work culture and credible work-life balance — especially for working parents and US-based associates
-   ✓ Strong investment in manager quality — named one of India's "Leadership Factories" by the Great Manager Institute 3 years running
-   ✓ Employee-first programs that are actually used: 180-degree feedback, skip-levels, townhalls, quarterly pulse surveys
-   ✓ Genuine focus on women's career development through the iWIN program
-   ✓ 35-year-old privately held firm — financially stable, debt-free, cash-flow positive since inception. Job security is real.
-   ✓ Welcoming environment for early-career engineers, especially H-1B candidates transitioning to the US market

### ✗ What employees flag as friction

-   ✗ Hybrid policy is inconsistent — some teams have permanent WFH while others are required to be in the Noida office Tuesday, Wednesday, Friday with attendance enforcement
-   ✗ Career progression can feel slow within the hierarchical org structure
-   ✗ Compensation rated 3.5/5 at Edison location — competitive within IT-services peer group but below product-company benchmarks
-   ✗ Cross-departmental communication can be sluggish at the global scale
-   ✗ Limited parking at the Noida campus (operational, not cultural)

Themes synthesized from 2,359+ Glassdoor reviews, Indeed reviews, and Great Place to Work survey data. Individual quotes appear in the review section below.

Who Iris Works With

## Business & _delivery_ profile

#### Founded & Leadership

Founded 1991 by Sanjiv Khanna (CEO), Sunil Puri, and Anil Apte. Privately held, debt-free, cash-flow positive since inception. Three Iris leaders recognized in India's Top 100 Great People Managers list.

#### Client Base

25+ Fortune 500 BFSI Capital Markets Payments

Deep specialization in banking, financial services, payments modernization, and enterprise data & automation.

#### Office Locations

🇺🇸 Edison NJ (HQ) 🇮🇳 Noida 🇮🇳 Gurugram 🇮🇳 Chennai

~3,700 associates across 6 continents. Major India delivery centers; US client-facing teams concentrated in Edison.

#### Recognition

**Great Place to Work** certified · **Stevie® Awards 2026** — Gold (Customer Service Team of the Year) · **Aegis Graham Bell Awards 16th edition** — 3 Iris innovations recognized (Feb 2026) · **Great Manager Institute** Leadership Factory of India (3 consecutive years).

Open Positions

## Join the _Iris Software_ team

... open roles at Iris Software — click any role for full details, then apply on the verified Iris careers portal.

**Note on geography:** Iris Software has offices in Edison NJ (US HQ), Canada, Noida, Gurugram, and Chennai — but all currently-open requisitions on the Iris careers portal are in **Noida**. US and Canada hiring tends to track major client engagements and varies through the year. The list below was verified against careers.irissoftware.com on 2026-06-06.

[Browse all roles at Iris Software →](https://careers.irissoftware.com/?ref=jobsbyculture.com)

In Their Own Words

## What current & former _Iris associates_ say

Excerpts from publicly posted Glassdoor reviews — both positive and critical themes, so candidates get the full picture before applying.

"Very transparent company. Senior management is approachable and open to feedback. They take care of work-life balance and learning."

Glassdoor — Current Employee

"One of the few organizations offering permanent work from home for outside-Noida associates. Lots of projects available across the BFSI domain."

Glassdoor — Senior Engineer

"Employee-oriented and client-centric. The company fosters a flexible work culture that empowers employees to balance professional and personal life."

Glassdoor — Edison NJ

"Career progression can sometimes feel slow due to the hierarchical structure. Internal processes could be streamlined. Cross-departmental communication can be a challenge."

Glassdoor — Critical Review

"Hybrid policy is inconsistent — some teams have permanent WFH while others are required to come in three days a week with attendance enforced."

Glassdoor — Noida Engineer

All quotes are excerpts from publicly available Glassdoor reviews of Iris Software Inc. Specific reviewer details omitted to respect anonymity.

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 57 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ AI Jobs in Paris 2026: 220 Roles at Mistral, Datadog, Hugging Face & 10 More Companies](https://jobsbyculture.com/blog/ai-jobs-paris-2026)
-   [→ Best AI & Tech Companies for Engineers in 2026](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)

### Sources for this profile

-   [→ Glassdoor — 2,359+ Iris Software reviews](https://www.glassdoor.com/Reviews/Iris-Software-Reviews-E14048.htm?ref=jobsbyculture.com)
-   [→ Glassdoor — Edison NJ location reviews (4.5)](https://www.glassdoor.com/Reviews/Iris-Software-Edison-Reviews-EI_IE14048.0,13_IL.14,20_IC1126748.htm?ref=jobsbyculture.com)
-   [→ Great Place to Work certification page](https://www.greatplacetowork.com/certified-company/7078690?ref=jobsbyculture.com)
-   [→ Iris Software — About page (company narrative)](https://www.irissoftware.com/about/?ref=jobsbyculture.com)
-   [→ Iris — Employee experience programs (iWIN, surveys)](https://www.irissoftware.com/careers/the-employee-experience-journey-at-iris/?ref=jobsbyculture.com)
-   [→ Iris — Gold Stevie Award 2026](https://www.irissoftware.com/news-events/gold-at-2026-stevie-awards/?ref=jobsbyculture.com)
-   [→ Iris Software on LinkedIn](https://www.linkedin.com/company/iris-software-inc.?ref=jobsbyculture.com)
-   [→ Crunchbase — company profile](https://www.crunchbase.com/organization/iris-software-a543?ref=jobsbyculture.com)
-   [→ Bloomberg — company news & markets](https://www.bloomberg.com/profile/company/4147449Z:US?ref=jobsbyculture.com)

Every claim on this profile is traceable to one of these sources. No fabricated data, no guessed ratings.



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## Document: Ironclad Glassdoor, Culture & Careers 2026 | JobsByCulture

# Ironclad Glassdoor, Culture & Careers 2026 | JobsByCulture

> Ironclad company profile: 4.5 Glassdoor, ~800 employees, exceptional work-life balance. Culture reviews and open careers at the AI contract management leader.

Source: https://jobsbyculture.com/companies/ironclad
Markdown: https://jobsbyculture.com/companies/ironclad.md
Last updated: 2026-07-14

---
![Ironclad logo](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

# Ironclad

AI-Powered Contract Management — The Gold Standard in CLM

The consensus on Ironclad: A rare find — genuinely excellent work-life balance at a high-growth company with a product that's actually as transformative as the marketing claims. Choose Ironclad if you want meaningful impact without burning out.

2014

Founded (YC S15)

San Francisco

Headquarters

~800

Employees

$200M+

ARR (2026)

Free Work at Ironclad? Claim this profile

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Culture Overview

## What it's _really_ like to work at Ironclad

Ironclad is the contract lifecycle management platform that enterprises like L'Oréal, Mastercard, and Staples trust to manage their most critical legal agreements. Founded in 2014 by Jason Boehmig (a former lawyer who understood the pain firsthand) and Cai GoGwilt, the company emerged from Y Combinator and has since grown to ~800 employees with $200M+ in annual recurring revenue. The culture is built on a simple idea: hire humble, high-caliber people and give them the autonomy to do their best work. Reviews consistently describe "zero-ego" colleagues who are "voraciously curious" — the kind of environment where you can disagree with your lead without political consequences.

[Work-Life Balance](https://jobsbyculture.com/values/wlb) [Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Product Impact](https://jobsbyculture.com/values/product-impact) [Learning & Growth](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Ironclad Glassdoor Ratings & _Employee Reviews_

4.5

Overall Glassdoor Score

Based on 236 reviews

Culture & Values 4.6

Work-Life Balance 4.6

Compensation & Benefits 4.1

Career Opportunities 4.2

Overall Rating 4.5

88% Recommend to a Friend

Employee Review Themes

## Working at Ironclad: _Pros & Cons_

### ✓ What employees love

-   ✓ Exceptional work-life balance (4.6/5) — rare for a high-growth company at this stage
-   ✓ Zero-ego, high-caliber colleagues — "experts in their craft who are approachable and willing to help you succeed"
-   ✓ Engineering org is top-notch with low-friction processes and a modern tech stack
-   ✓ Product is genuinely game-changing — the gold standard in CLM that customers love

### ✗ What could be better

-   ✗ Compensation below top-tier tech — no 401k match, frugal reimbursement policies
-   ✗ AI marketing ambitions sometimes outpace the current technical capabilities
-   ✗ Office space getting cramped as team grows — growing pains at the ~800 employee mark
-   ✗ Hiring bar inconsistency — quality varies across departments

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

TypeScript Python React Node.js PostgreSQL

#### Product

AI-powered contract lifecycle management platform used by enterprises like L'Oréal, Mastercard, and Staples. Contract creation, negotiation, approval workflows, and post-signature analytics — all accelerated by AI.

#### AI & ML

Deep investment in AI for contract analysis, clause extraction, and risk scoring. Partnership with OpenAI to bring frontier models into legal workflows while keeping human oversight at the center. [See open roles →](https://ironcladapp.com/careers?ref=jobsbyculture.com)

#### Engineering Process

Engineers describe "good/low friction processes" with a modern stack. Teams have real ownership over their domains. Named to Fast Company's Most Innovative Companies 2026 list alongside Google and Nvidia.

Open Positions

## Join the _Ironclad_ team

Explore open roles at Ironclad below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=ironclad)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Best Tech Companies for Working Parents in 2026: Parental Leave, Flexibility & Culture](https://jobsbyculture.com/blog/best-tech-companies-for-parents-2026)



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## Document: Kindred Glassdoor, Culture & Careers 2026 | JobsByCulture

# Kindred Glassdoor, Culture & Careers 2026 | JobsByCulture

> Kindred company profile: small early-stage team. Members-only home swapping network backed by a16z, Index Ventures, Bessemer. Culture reviews and open careers.

Source: https://jobsbyculture.com/companies/kindred
Markdown: https://jobsbyculture.com/companies/kindred.md
Last updated: 2026-07-14

---
![Kindred logo](https://www.google.com/s2/favicons?domain=livekindred.com&sz=128)

# Kindred

Members-Only Home Swapping — Reinventing How People Live & Travel

The consensus on Kindred: Choose Kindred if you want to join a proven founding team (ex-Opendoor, backed by a16z) building something entirely new in proptech — but expect early-stage intensity with minimal structure.

San Francisco

HQ (Remote-First US)

Small

Team (early-stage)

a16z

Lead Investor

Ex-Opendoor

Founding Team

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Culture Overview

## What it's _really_ like to work at Kindred

Kindred is a members-only home swapping network founded by Justine Palefsky and Tasneem Amina, both early Opendoor alums. Backed by a16z, Index Ventures, Bessemer, NEA, and Elad Gil (plus the founders of Figma and ClassPass), Kindred is a small, remote-first team where every person has direct, visible impact on the product. The culture is proptech DNA — ship fast, own your domain end-to-end, and build something people genuinely love to use.

[Product-Impact](https://jobsbyculture.com/values/product-impact) [Ship-Fast](https://jobsbyculture.com/values/ship-fast) [Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Many-Hats](https://jobsbyculture.com/values/many-hats)

Glassdoor Ratings

## Kindred Glassdoor Ratings & _Employee Reviews_

Limited data

Glassdoor reviews not yet available — we'll update as employee feedback accumulates.

Overall Glassdoor Score (est.)

Limited reviews available — early-stage company

Work-Life Balance N/A

Overall Rating N/A

Note: Kindred is an early-stage company with very few public reviews. Scores are estimated based on limited data and may change as the company grows.

Employee Review Themes

## Working at Kindred: _Pros & Cons_

### ✓ What employees love

-   ✓ Founded by ex-Opendoor team with deep proptech operating experience
-   ✓ Top-tier investors: a16z, Index Ventures, Bessemer, NEA
-   ✓ Small team with direct product impact — every engineer shapes the product
-   ✓ Remote-first with US flexibility

### ✗ What could be better

-   ✗ Very early-stage with minimal processes and career ladders
-   ✗ Small team means wearing many hats and intense pace
-   ✗ Limited Glassdoor data — culture hard to assess externally

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

React React Native Node.js

#### Product

Members-only home swapping platform — web and mobile apps powering a curated network of homes for flexible living and travel. Strong focus on product & pricing (hiring Staff Data Scientist).

#### Team DNA

Founded by early Opendoor team members with deep proptech operating experience. Proptech DNA: data-driven, product-obsessed, ship fast. [Careers →](https://jobs.ashbyhq.com/kindred?ref=jobsbyculture.com)

#### Team Structure

Small founding engineering team at an early-stage startup. Remote-first across the US. Engineers own features end-to-end. No layers — direct access to founders and product decisions.

Open Positions

## Join the _Kindred_ team

Explore open roles at Kindred below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=kindred)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ Best AI & Tech Companies for Engineers in 2026](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

### Similar Companies

-   [→ Opendoor](https://jobsbyculture.com/companies/opendoor)
-   [→ Ramp](https://jobsbyculture.com/companies/ramp)
-   [→ Brex](https://jobsbyculture.com/companies/brex)
-   [→ Mercury](https://jobsbyculture.com/companies/mercury)
-   [→ Navan](https://jobsbyculture.com/companies/navan)



🏢

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---

## Document: Labelbox Culture & Jobs | JobsByCulture

# Labelbox Culture & Jobs | JobsByCulture

> Labelbox culture profile: 3.8 Glassdoor, AI data labeling & training platform. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/labelbox
Markdown: https://jobsbyculture.com/companies/labelbox.md
Last updated: 2026-07-14

---
![Labelbox logo](https://www.google.com/s2/favicons?domain=labelbox.com&sz=128)

# Labelbox

AI data labeling & training platform · San Francisco

[⚙️ Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [🚀 Ship Fast](https://jobsbyculture.com/values/ship-fast) [💰 Strong Equity](https://jobsbyculture.com/values/equity) [🌈 Diverse](https://jobsbyculture.com/values/diverse)

[View Open Roles →](https://labelbox.com/company/careers/?ref=jobsbyculture.com) [Read Reviews ↓](#reviews)

**Work at Labelbox?** Claim this profile to update company info, respond to reviews, and showcase your culture.

Labelbox positions itself as picks-and-shovels infrastructure for AI — the data labeling and training platform serving foundation model teams and enterprise ML orgs.

3.8

Glassdoor Rating

3.6

Work-Life Balance

~350

Employees

🇺🇸

San Francisco

Glassdoor Rating 3.8 / 5

Work-Life Balance 3.6 / 5

## Company Details

Size Medium (~350)

Location 🇺🇸 San Francisco

Glassdoor 3.8 / 5

Work-Life Balance 3.6 / 5

## Culture Snapshot

### ✅ Pros

-   Critical infrastructure for AI model training
-   Series D funded with strong enterprise traction

### ⚠️ Cons

-   Data labeling space is competitive
-   Enterprise sales cycles can slow product iteration

## Source

Based on Glassdoor reviews, company engineering blog, and public team information.

---

## Document: Lambda Glassdoor, Culture & Careers 2026 | JobsByCulture

# Lambda Glassdoor, Culture & Careers 2026 | JobsByCulture

> Lambda company profile: 3.4 Glassdoor, ~760 employees, ~$5.9B valuation. GPU cloud for AI training & inference. Culture reviews, engineering team, and open careers.

Source: https://jobsbyculture.com/companies/lambda
Markdown: https://jobsbyculture.com/companies/lambda.md
Last updated: 2026-07-14

---
![Lambda logo](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

# Lambda

GPU Cloud for AI — On-Demand NVIDIA GPUs for Training & Inference

The consensus on Lambda: Choose Lambda if you want to build the GPU cloud that powers AI research — but be aware that management style and company politics are common complaints.

2012

Founded

San Jose, CA

Headquarters

~760

Employees

~$5.9B

Valuation

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Culture Overview

## What it's _really_ like to work at Lambda

Founded in 2012 by brothers Stephen and Michael Balaban, Lambda is building the GPU cloud that powers the AI revolution. The company provides on-demand NVIDIA H100 and H200 GPUs for training, fine-tuning, and inference — alongside Lambda Stack (deep learning software) and custom workstations. Backed by NVIDIA, ARK Invest, TWG Global, and others with over $2.3B raised, Lambda has grown to ~$760M ARR and a ~$5.9B valuation (Nov 2025 Series E). The culture is engineering-driven and infrastructure-focused: the team ships critical compute infrastructure that AI researchers and companies depend on daily. Engineers here solve hard systems problems at the intersection of hardware, networking, and distributed computing.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship-Fast](https://jobsbyculture.com/values/ship-fast) [Strong Equity](https://jobsbyculture.com/values/equity) [Product-Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Lambda Glassdoor Ratings & _Employee Reviews_

3.4

Overall Glassdoor Score

Based on 29 reviews

Culture & Values 3.2

Work-Life Balance 3.8

Career Opportunities 3.3

Compensation & Benefits 4.1

Overall Rating 3.4

58% Recommend to a Friend

Employee Review Themes

## Working at Lambda: _Pros & Cons_

### ✓ What employees love

-   ✓ Smart, deeply technical team — engineers who genuinely understand GPU infrastructure and distributed systems
-   ✓ Impactful infrastructure work — building the compute layer that powers AI research worldwide
-   ✓ Strong funding and equity upside — over $2.3B raised at a ~$5.9B valuation with NVIDIA as a backer
-   ✓ Reasonable work-life balance on the right teams — not the grind culture of some AI startups

### ✗ What could be better

-   ✗ Top-down management style — decision-making can feel centralized and opaque
-   ✗ Internal politics — navigating company dynamics is a recurring theme in reviews
-   ✗ Strategy clarity — company direction can shift, leaving teams uncertain about priorities
-   ✗ Team experience varies — culture and management quality differ significantly across groups

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python CUDA Kubernetes Linux

#### GPU Cloud Infrastructure

Lambda GPU Cloud provides on-demand NVIDIA H100 and H200 clusters for AI training, fine-tuning, and inference. Engineers work on orchestration, networking, and bare-metal provisioning at scale. [Explore Lambda Cloud →](https://lambda.ai/?ref=jobsbyculture.com)

#### Lambda Stack

Lambda Stack is the one-line install for deep learning frameworks — PyTorch, TensorFlow, CUDA, and cuDNN on Ubuntu. Used by thousands of researchers and teams to set up GPU workstations and servers.

#### Team Structure

~760 employees across San Jose, Austin, and remote. Engineering teams are organized around cloud platform, networking, hardware, and developer tools. The NVIDIA partnership shapes much of the technical roadmap.

Open Positions

## Join the _Lambda_ team

Explore open roles at Lambda below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=lambda)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ The AI Infrastructure Hiring Boom: 650,000 Jobs, $700B in Capex & Who's Winning the Talent War](https://jobsbyculture.com/blog/ai-infrastructure-hiring-boom-2026)
-   [→ Crusoe in 2026: 1,200 Employees, $10B Valuation, Salary & Culture](https://jobsbyculture.com/blog/working-at-crusoe-2026)
-   [→ Vast AI in 2026: ~30 Employees, $30M Raised, Salary & Culture Inside the GPU Marketplace](https://jobsbyculture.com/blog/working-at-vast-2026)

### Compare Lambda

-   [→ Lambda vs Abridge](https://jobsbyculture.com/compare/abridge-vs-lambda)
-   [→ Lambda vs Adyen](https://jobsbyculture.com/compare/adyen-vs-lambda)
-   [→ Lambda vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-lambda)
-   [→ Lambda vs Airtable](https://jobsbyculture.com/compare/airtable-vs-lambda)
-   [→ Lambda vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-lambda)
-   [→ Lambda vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-lambda)
-   [→ Lambda vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-lambda)
-   [→ Lambda vs Asana](https://jobsbyculture.com/compare/asana-vs-lambda)
-   [→ Lambda vs Baseten](https://jobsbyculture.com/compare/baseten-vs-lambda)
-   [→ Lambda vs Brex](https://jobsbyculture.com/compare/brex-vs-lambda)
-   [→ Lambda vs Celonis](https://jobsbyculture.com/compare/celonis-vs-lambda)
-   [→ Lambda vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-lambda)
-   [→ Lambda vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-lambda)
-   [→ Lambda vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-lambda)
-   [→ Lambda vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-lambda)
-   [→ Lambda vs Cohere](https://jobsbyculture.com/compare/cohere-vs-lambda)
-   [→ Lambda vs Contentful](https://jobsbyculture.com/compare/contentful-vs-lambda)
-   [→ Lambda vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-lambda)
-   [→ Lambda vs Cresta](https://jobsbyculture.com/compare/cresta-vs-lambda)
-   [→ Lambda vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-lambda)
-   [→ Lambda vs Cursor](https://jobsbyculture.com/compare/cursor-vs-lambda)
-   [→ Lambda vs Databricks](https://jobsbyculture.com/compare/databricks-vs-lambda)
-   [→ Lambda vs Datadog](https://jobsbyculture.com/compare/datadog-vs-lambda)
-   [→ Lambda vs Decagon](https://jobsbyculture.com/compare/decagon-vs-lambda)
-   [→ Lambda vs DeepL](https://jobsbyculture.com/compare/deepl-vs-lambda)
-   [→ Lambda vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-lambda)
-   [→ Lambda vs Descript](https://jobsbyculture.com/compare/descript-vs-lambda)
-   [→ Lambda vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-lambda)
-   [→ Lambda vs Elastic](https://jobsbyculture.com/compare/elastic-vs-lambda)
-   [→ Lambda vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-lambda)
-   [→ Lambda vs Figma](https://jobsbyculture.com/compare/figma-vs-lambda)
-   [→ Lambda vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-lambda)
-   [→ Lambda vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-lambda)
-   [→ Lambda vs Glean](https://jobsbyculture.com/compare/glean-vs-lambda)
-   [→ Lambda vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-lambda)
-   [→ Lambda vs Granola](https://jobsbyculture.com/compare/granola-vs-lambda)
-   [→ Lambda vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-lambda)
-   [→ Lambda vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-lambda)
-   [→ Lambda vs Helsing](https://jobsbyculture.com/compare/helsing-vs-lambda)
-   [→ Lambda vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-lambda)
-   [→ Lambda vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-lambda)
-   [→ Lambda vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-lambda)
-   [→ Lambda vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-lambda)
-   [→ Lambda vs LangChain](https://jobsbyculture.com/compare/lambda-vs-langchain)
-   [→ Lambda vs Linear](https://jobsbyculture.com/compare/lambda-vs-linear)
-   [→ Lambda vs Lovable](https://jobsbyculture.com/compare/lambda-vs-lovable)
-   [→ Lambda vs Mercor](https://jobsbyculture.com/compare/lambda-vs-mercor)
-   [→ Lambda vs Mercury](https://jobsbyculture.com/compare/lambda-vs-mercury)
-   [→ Lambda vs Mistral AI](https://jobsbyculture.com/compare/lambda-vs-mistral)
-   [→ Lambda vs Modal](https://jobsbyculture.com/compare/lambda-vs-modal)
-   [→ Lambda vs MongoDB](https://jobsbyculture.com/compare/lambda-vs-mongodb)
-   [→ Lambda vs n8n](https://jobsbyculture.com/compare/lambda-vs-n8n)
-   [→ Lambda vs Navan](https://jobsbyculture.com/compare/lambda-vs-navan)
-   [→ Lambda vs Notion](https://jobsbyculture.com/compare/lambda-vs-notion)
-   [→ Lambda vs OpenAI](https://jobsbyculture.com/compare/lambda-vs-openai)
-   [→ Lambda vs Perplexity AI](https://jobsbyculture.com/compare/lambda-vs-perplexity)
-   [→ Lambda vs Pinecone](https://jobsbyculture.com/compare/lambda-vs-pinecone)
-   [→ Lambda vs Plaid](https://jobsbyculture.com/compare/lambda-vs-plaid)
-   [→ Lambda vs Poolside AI](https://jobsbyculture.com/compare/lambda-vs-poolside)
-   [→ Lambda vs PostHog](https://jobsbyculture.com/compare/lambda-vs-posthog)
-   [→ Lambda vs Pylon](https://jobsbyculture.com/compare/lambda-vs-pylon)
-   [→ Lambda vs Ramp](https://jobsbyculture.com/compare/lambda-vs-ramp)
-   [→ Lambda vs Replit](https://jobsbyculture.com/compare/lambda-vs-replit)
-   [→ Lambda vs Runway](https://jobsbyculture.com/compare/lambda-vs-runway)
-   [→ Lambda vs Samsara](https://jobsbyculture.com/compare/lambda-vs-samsara)
-   [→ Lambda vs Scale AI](https://jobsbyculture.com/compare/lambda-vs-scale)
-   [→ Lambda vs Sierra AI](https://jobsbyculture.com/compare/lambda-vs-sierra)
-   [→ Lambda vs Snowflake](https://jobsbyculture.com/compare/lambda-vs-snowflake)
-   [→ Lambda vs Stripe](https://jobsbyculture.com/compare/lambda-vs-stripe)
-   [→ Lambda vs Suno](https://jobsbyculture.com/compare/lambda-vs-suno)
-   [→ Lambda vs Supabase](https://jobsbyculture.com/compare/lambda-vs-supabase)
-   [→ Lambda vs Synthesia](https://jobsbyculture.com/compare/lambda-vs-synthesia)
-   [→ Lambda vs Tailscale](https://jobsbyculture.com/compare/lambda-vs-tailscale)
-   [→ Lambda vs Together AI](https://jobsbyculture.com/compare/lambda-vs-together)
-   [→ Lambda vs Twilio](https://jobsbyculture.com/compare/lambda-vs-twilio)
-   [→ Lambda vs Vanta](https://jobsbyculture.com/compare/lambda-vs-vanta)
-   [→ Lambda vs Vast AI](https://jobsbyculture.com/compare/lambda-vs-vast)
-   [→ Lambda vs Vercel](https://jobsbyculture.com/compare/lambda-vs-vercel)
-   [→ Lambda vs Wayve](https://jobsbyculture.com/compare/lambda-vs-wayve)
-   [→ Lambda vs Weaviate](https://jobsbyculture.com/compare/lambda-vs-weaviate)
-   [→ Lambda vs Webflow](https://jobsbyculture.com/compare/lambda-vs-webflow)
-   [→ Lambda vs Writer](https://jobsbyculture.com/compare/lambda-vs-writer)



🏢

### Claim _Lambda_

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---

## Document: LangChain Culture & Jobs | JobsByCulture

# LangChain Culture & Jobs | JobsByCulture

> LangChain engineering culture: 4.6 RepVue, open-source LLM framework, high autonomy. See 95 open roles and what it

Source: https://jobsbyculture.com/companies/langchain
Markdown: https://jobsbyculture.com/companies/langchain.md
Last updated: 2026-07-14

---
![LangChain logo](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

# LangChain

Open-Source LLM Framework — Building the Tools for AI Application Development

The consensus on LangChain: Choose LangChain if you want open-source DNA with massive developer-community impact and high autonomy — at a Series B stage where the agent-engineering platform thesis is expanding fast and roles stretch with it.

2022

Founded

San Francisco

Headquarters

~325

Employees

$1.25B

Series B (Oct 2025)

Free Work at LangChain? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at LangChain

Founded in 2022 by Harrison Chase and Ankush Gola, LangChain is the open-source framework powering millions of LLM applications worldwide — and now the platform behind LangSmith and LangGraph for agent engineering. The team raised a **$125M Series B at a $1.25B valuation in October 2025**, led by IVP, with continued backing from Sequoia, Benchmark, CapitalG, and strategic investors including Datadog, Databricks, ServiceNow Ventures, and Workday Ventures. The culture is deeply OSS-rooted with a massive developer community, engineers ship fast with high autonomy, and the company is scaling hard against an agent-engineering platform thesis.

[Open Source](https://jobsbyculture.com/values/open-source) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Many Hats](https://jobsbyculture.com/values/many-hats) [Product Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## LangChain Glassdoor Ratings & _Employee Reviews_

4.6

Overall Glassdoor Score

Based on ~15 reviews (RepVue)

Culture & Values 4.5

Compensation & Benefits 4.3

Senior Management 4.2

Career Opportunities 4.0

Work-Life Balance 4.0

Overall Rating 4.6

Too Few Reviews

CEO: Harrison Chase

Employee Review Themes

## Working at LangChain: _Pros & Cons_

### ✓ What employees love

-   ✓ Open-source DNA with massive community — your work reaches millions of developers
-   ✓ High autonomy and engineer ownership — ship fast on systems used in production by enterprise customers
-   ✓ Working at the epicenter of the agent-engineering and LLM application ecosystem
-   ✓ Strategic enterprise backers (Datadog, Databricks, ServiceNow, Workday) translate into real customer reach
-   ✓ Series B comp packages competitive with frontier AI labs for senior engineering roles

### ✗ What could be better

-   ✗ Series B growing pains — processes still catching up to the pace of hiring (325 people and counting)
-   ✗ Role scope can shift as the platform thesis expands beyond core OSS into LangSmith, LangGraph, and agent infra
-   ✗ Open-source pressure — community expectations on response times and feature requests can be demanding
-   ✗ High-velocity environment — long hours during major launches are common

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python TypeScript LangGraph LangSmith FastAPI

#### Open Source

Core product is open source (130k+ GitHub stars). LangChain, LangGraph, and LangSmith form the leading LLM development stack. Community-driven development model.

#### Engineering Blog

Active blog covering LLM application patterns, agent architectures, and retrieval-augmented generation. [Read the blog →](https://blog.langchain.com/?ref=jobsbyculture.com)

#### Team Structure

Flat, open-source-native team. Engineers contribute across the entire stack. Strong async communication with a community-first development approach.

Open Positions

## Join the _LangChain_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=langchain)

Explore More

## Related _content_

### Blog Posts

-   [→ Agentic AI Jobs Grew 280% in 2026 — The Roles, Salaries & Companies Hiring Now](https://jobsbyculture.com/blog/agentic-ai-hiring-boom-2026)
-   [→ AI Agents Are Replacing SaaS — What It Means for Tech Careers in 2026](https://jobsbyculture.com/blog/ai-agents-replacing-saas-2026)
-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ 50+ AI Engineer Interview Questions in 2026 (Real Questions, Honest Answers)](https://jobsbyculture.com/blog/ai-engineer-interview-questions-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

### Compare LangChain

-   [→ LangChain vs Abridge](https://jobsbyculture.com/compare/abridge-vs-langchain)
-   [→ LangChain vs Adyen](https://jobsbyculture.com/compare/adyen-vs-langchain)
-   [→ LangChain vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-langchain)
-   [→ LangChain vs Airtable](https://jobsbyculture.com/compare/airtable-vs-langchain)
-   [→ LangChain vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-langchain)
-   [→ LangChain vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-langchain)
-   [→ LangChain vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-langchain)
-   [→ LangChain vs Asana](https://jobsbyculture.com/compare/asana-vs-langchain)
-   [→ LangChain vs Baseten](https://jobsbyculture.com/compare/baseten-vs-langchain)
-   [→ LangChain vs Brex](https://jobsbyculture.com/compare/brex-vs-langchain)
-   [→ LangChain vs Celonis](https://jobsbyculture.com/compare/celonis-vs-langchain)
-   [→ LangChain vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-langchain)
-   [→ LangChain vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-langchain)
-   [→ LangChain vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-langchain)
-   [→ LangChain vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-langchain)
-   [→ LangChain vs Cohere](https://jobsbyculture.com/compare/cohere-vs-langchain)
-   [→ LangChain vs Contentful](https://jobsbyculture.com/compare/contentful-vs-langchain)
-   [→ LangChain vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-langchain)
-   [→ LangChain vs Cresta](https://jobsbyculture.com/compare/cresta-vs-langchain)
-   [→ LangChain vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-langchain)
-   [→ LangChain vs Cursor](https://jobsbyculture.com/compare/cursor-vs-langchain)
-   [→ LangChain vs Databricks](https://jobsbyculture.com/compare/databricks-vs-langchain)
-   [→ LangChain vs Datadog](https://jobsbyculture.com/compare/datadog-vs-langchain)
-   [→ LangChain vs Decagon](https://jobsbyculture.com/compare/decagon-vs-langchain)
-   [→ LangChain vs DeepL](https://jobsbyculture.com/compare/deepl-vs-langchain)
-   [→ LangChain vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-langchain)
-   [→ LangChain vs Descript](https://jobsbyculture.com/compare/descript-vs-langchain)
-   [→ LangChain vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-langchain)
-   [→ LangChain vs Elastic](https://jobsbyculture.com/compare/elastic-vs-langchain)
-   [→ LangChain vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-langchain)
-   [→ LangChain vs Figma](https://jobsbyculture.com/compare/figma-vs-langchain)
-   [→ LangChain vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-langchain)
-   [→ LangChain vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-langchain)
-   [→ LangChain vs Glean](https://jobsbyculture.com/compare/glean-vs-langchain)
-   [→ LangChain vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-langchain)
-   [→ LangChain vs Granola](https://jobsbyculture.com/compare/granola-vs-langchain)
-   [→ LangChain vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-langchain)
-   [→ LangChain vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-langchain)
-   [→ LangChain vs Helsing](https://jobsbyculture.com/compare/helsing-vs-langchain)
-   [→ LangChain vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-langchain)
-   [→ LangChain vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-langchain)
-   [→ LangChain vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-langchain)
-   [→ LangChain vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-langchain)
-   [→ LangChain vs Lambda](https://jobsbyculture.com/compare/lambda-vs-langchain)
-   [→ LangChain vs Linear](https://jobsbyculture.com/compare/langchain-vs-linear)
-   [→ LangChain vs Lovable](https://jobsbyculture.com/compare/langchain-vs-lovable)
-   [→ LangChain vs Mercor](https://jobsbyculture.com/compare/langchain-vs-mercor)
-   [→ LangChain vs Mercury](https://jobsbyculture.com/compare/langchain-vs-mercury)
-   [→ LangChain vs Mistral AI](https://jobsbyculture.com/compare/langchain-vs-mistral)
-   [→ LangChain vs Modal](https://jobsbyculture.com/compare/langchain-vs-modal)
-   [→ LangChain vs MongoDB](https://jobsbyculture.com/compare/langchain-vs-mongodb)
-   [→ LangChain vs n8n](https://jobsbyculture.com/compare/langchain-vs-n8n)
-   [→ LangChain vs Navan](https://jobsbyculture.com/compare/langchain-vs-navan)
-   [→ LangChain vs Notion](https://jobsbyculture.com/compare/langchain-vs-notion)
-   [→ LangChain vs OpenAI](https://jobsbyculture.com/compare/langchain-vs-openai)
-   [→ LangChain vs Perplexity AI](https://jobsbyculture.com/compare/langchain-vs-perplexity)
-   [→ LangChain vs Pinecone](https://jobsbyculture.com/compare/langchain-vs-pinecone)
-   [→ LangChain vs Plaid](https://jobsbyculture.com/compare/langchain-vs-plaid)
-   [→ LangChain vs Poolside AI](https://jobsbyculture.com/compare/langchain-vs-poolside)
-   [→ LangChain vs PostHog](https://jobsbyculture.com/compare/langchain-vs-posthog)
-   [→ LangChain vs Pylon](https://jobsbyculture.com/compare/langchain-vs-pylon)
-   [→ LangChain vs Ramp](https://jobsbyculture.com/compare/langchain-vs-ramp)
-   [→ LangChain vs Replit](https://jobsbyculture.com/compare/langchain-vs-replit)
-   [→ LangChain vs Runway](https://jobsbyculture.com/compare/langchain-vs-runway)
-   [→ LangChain vs Samsara](https://jobsbyculture.com/compare/langchain-vs-samsara)
-   [→ LangChain vs Scale AI](https://jobsbyculture.com/compare/langchain-vs-scale)
-   [→ LangChain vs Sierra AI](https://jobsbyculture.com/compare/langchain-vs-sierra)
-   [→ LangChain vs Snowflake](https://jobsbyculture.com/compare/langchain-vs-snowflake)
-   [→ LangChain vs Stripe](https://jobsbyculture.com/compare/langchain-vs-stripe)
-   [→ LangChain vs Suno](https://jobsbyculture.com/compare/langchain-vs-suno)
-   [→ LangChain vs Supabase](https://jobsbyculture.com/compare/langchain-vs-supabase)
-   [→ LangChain vs Synthesia](https://jobsbyculture.com/compare/langchain-vs-synthesia)
-   [→ LangChain vs Tailscale](https://jobsbyculture.com/compare/langchain-vs-tailscale)
-   [→ LangChain vs Together AI](https://jobsbyculture.com/compare/langchain-vs-together)
-   [→ LangChain vs Twilio](https://jobsbyculture.com/compare/langchain-vs-twilio)
-   [→ LangChain vs Vanta](https://jobsbyculture.com/compare/langchain-vs-vanta)
-   [→ LangChain vs Vast AI](https://jobsbyculture.com/compare/langchain-vs-vast)
-   [→ LangChain vs Vercel](https://jobsbyculture.com/compare/langchain-vs-vercel)
-   [→ LangChain vs Wayve](https://jobsbyculture.com/compare/langchain-vs-wayve)
-   [→ LangChain vs Weaviate](https://jobsbyculture.com/compare/langchain-vs-weaviate)
-   [→ LangChain vs Webflow](https://jobsbyculture.com/compare/langchain-vs-webflow)
-   [→ LangChain vs Writer](https://jobsbyculture.com/compare/langchain-vs-writer)



🏢

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## Document: LaunchDarkly Culture & Jobs | JobsByCulture

# LaunchDarkly Culture & Jobs | JobsByCulture

> LaunchDarkly engineering culture: 3.9 Glassdoor, feature management pioneer, $3B valuation. See 36 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/launchdarkly
Markdown: https://jobsbyculture.com/companies/launchdarkly.md
Last updated: 2026-07-14

---
![LaunchDarkly logo](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

# LaunchDarkly

Feature Flags, Experimentation & AI Configuration — The Category Leader in Feature Management

Strong WLB and benefits with a category-defining dev tools product. Choose LaunchDarkly if you want genuine work-life balance at a well-funded platform company — but know that culture is still stabilizing after leadership changes.

2014

Founded

Oakland, CA

Headquarters

~590

Employees

$3B

Valuation

Free Work at LaunchDarkly? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at LaunchDarkly

LaunchDarkly is the category leader in feature management, used by thousands of engineering teams to release, measure, and control software safely at scale. Founded in 2014 by Edith Harbaugh and John Kodumal and headquartered in Oakland, CA, the company has raised $330M at a $3B valuation. Employees consistently praise the work-life balance (4.1/5) and benefits. Managers actively encourage PTO, and the comp package is highly rated at 4.1/5. The company has gone through recent leadership changes but reviews suggest it's stabilizing and picking up steam again. With ~590 employees and 36 open roles, LaunchDarkly is growing steadily.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Work-Life Balance](https://jobsbyculture.com/values/wlb) [Product Impact](https://jobsbyculture.com/values/product-impact) [Learning & Growth](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## LaunchDarkly Glassdoor Ratings & _Employee Reviews_

3.9

Overall Glassdoor Score

Based on 177 Glassdoor reviews

Culture & Values 3.8

Compensation & Benefits 4.1

Career Opportunities 3.8

Work-Life Balance 4.1

Overall Rating 3.9

67% Recommend to a Friend

Employee Review Themes

## Working at LaunchDarkly: _Pros & Cons_

### ✓ What employees love

-   ✓ Strong work-life balance — managers actively encourage PTO (4.1/5)
-   ✓ Excellent benefits package — medical, dental, vision highly rated
-   ✓ Feature flags pioneer — category-defining product used by thousands of dev teams
-   ✓ $330M raised at $3B valuation — well-funded and stable

### ✗ What could be better

-   ✗ Priorities can shift quickly — some teams experience instability
-   ✗ 67% recommend is in line with mid-tier tech — recent leadership transitions
-   ✗ Culture & Values rated 3.8/5 — reviews note ongoing org changes
-   ✗ Some reviews mention senior leadership not acknowledging efforts

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Go React TypeScript Redis AWS

#### Core Product

The industry-standard feature management platform. Engineers build the infrastructure that thousands of dev teams rely on for safe releases, experimentation, and AI configuration.

#### Open Source

Maintains open-source SDKs across 25+ languages and frameworks. Active contributor to the feature flagging ecosystem with client and server-side libraries on GitHub.

#### Team Structure

Cross-functional product teams with engineering ownership over feature areas. Engineers work closely with product and design to ship iteratively to a large, technical customer base.

Open Positions

## Join the _LaunchDarkly_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=launchdarkly)

Explore More

## Related _content_

### Blog Posts

-   [→ Building a Career in Developer Tools in 2026: Why DevTools Is Where the Best Engineers Go](https://jobsbyculture.com/blog/building-career-in-devtools-2026)



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## Document: Lightmatter Glassdoor, Culture & Careers 2026 | JobsByCulture

# Lightmatter Glassdoor, Culture & Careers 2026 | JobsByCulture

> Lightmatter company profile: 4.0 Glassdoor, ~300 employees, $4.4B valuation. Photonic AI computing culture, employee reviews, and open careers.

Source: https://jobsbyculture.com/companies/lightmatter
Markdown: https://jobsbyculture.com/companies/lightmatter.md
Last updated: 2026-07-14

---
![Lightmatter logo](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

# Lightmatter

The Photonic Supercomputer Company — Computing with Light

The consensus on Lightmatter: Choose Lightmatter if you want to build genuinely first-of-its-kind hardware at the frontier of AI computing — but expect startup intensity and fast execution.

2017

Founded (MIT)

Boston

Headquarters

~300

Employees

~$4.4B

Valuation

Free Work at Lightmatter? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Lightmatter

Lightmatter is building photonic processors that use light instead of electrons to power AI computation — a fundamental shift in how computers work. Founded in 2017 by Nick Harris, Darius Bunandar, and Thomas Graham out of MIT, the company has grown to ~300 people across Boston and Mountain View. The culture is deeply engineering-driven: you're working alongside world-class physicists, chip designers, and systems engineers on problems no one else has solved. Employees describe a collaborative, trust-based environment with a flat hierarchy, but the pace is fast and the stakes are high.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Product Impact](https://jobsbyculture.com/values/product-impact) [Learning & Growth](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Lightmatter Glassdoor Ratings & _Employee Reviews_

4.0

Overall Glassdoor Score

Based on 28 reviews

Overall Rating 4.0

Work-Life Balance 4.1

Culture & Values 4.0

Career Opportunities 3.9

79% Recommend to a Friend

Employee Review Themes

## Working at Lightmatter: _Pros & Cons_

### ✓ What employees love

-   ✓ Genuinely groundbreaking technology — photonic chips that no one else is building at this scale
-   ✓ Brilliant colleagues — "some of the best and brightest in the world" per employee reviews
-   ✓ Collaborative, trusting culture with a flat hierarchy and real respect between teams
-   ✓ Hybrid flexibility with many positions offering remote options

### ✗ What could be better

-   ✗ Startup intensity — can feel like constant "crisis mode" with tight deadlines
-   ✗ Compensation can lag behind top-tier tech for some roles despite cutting-edge work
-   ✗ Rapid growth means processes and structure are still maturing
-   ✗ Hardware timelines and tape-out crunches can spike workload on certain teams

Engineering Culture

## How the _engineering_ team works

#### Core Technology

Photonics Silicon ASIC Design Python

#### Products

Passage™ — a 3D photonic interconnect that eliminates GPU idle time in AI data centers. Envise™ — a photonic AI accelerator chip. Both use light to move data faster and more efficiently than electrical interconnects.

#### R&D Focus

Integrated photonics, high-speed analog IC design, scalable laser solutions, and ML infrastructure. The team works at the intersection of physics, chip design, and AI systems.

#### Team Structure

Cross-functional teams spanning hardware, software, and photonics. Engineers work closely with physicists and manufacturing teams. Real ownership with direct impact on products shipping to hyperscale data centers.

Open Positions

## Join the _Lightmatter_ team

Explore open roles at Lightmatter below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=lightmatter)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.



🏢

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---

## Document: Linear Culture & Jobs | JobsByCulture

# Linear Culture & Jobs | JobsByCulture

> Linear engineering culture: 4.6 Glassdoor, deep work, async-first, best-in-class PM tool. See 24 open roles and real reviews.

Source: https://jobsbyculture.com/companies/linear
Markdown: https://jobsbyculture.com/companies/linear.md
Last updated: 2026-07-14

---
![Linear logo](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

# Linear

Project Management Tool — Obsessive Craft, Deep Work Culture

The consensus on Linear: Choose Linear if you want obsessive product craft with genuine work-life balance — but the team is tiny and hiring bar is extreme.

2019

Founded by Karri Saarinen

SF (Remote-First)

Headquarters

~80

Employees

~$1.25B

Valuation

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Culture Overview

## What it's _really_ like to work at Linear

Founded in 2019 by Karri Saarinen (ex-Airbnb, ex-Coinbase), Tuomas Artman (ex-Uber), and Jori Lallo (ex-Coinbase), Linear is the project management tool that engineers actually love using. The culture is defined by obsessive product craft, deep work, and async-first communication. No standups, minimal meetings, high autonomy. A small, senior team where quality matters more than quantity and every detail of the product is sweated over.

[Deep-Work](https://jobsbyculture.com/values/deep-work) [Remote-First](https://jobsbyculture.com/values/remote) [Async](https://jobsbyculture.com/values/async) [Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Product-Impact](https://jobsbyculture.com/values/product-impact) [Work-Life Balance](https://jobsbyculture.com/values/wlb)

Glassdoor Ratings

## Linear Glassdoor Ratings & _Employee Reviews_

4.6

Overall Glassdoor Score

Based on 25 reviews

Culture & Values 4.8

Work-Life Balance 4.4

Compensation & Benefits 4.3

Career Opportunities 4.0

Senior Management 4.5

Overall Rating 4.6

~95% Recommend to a Friend

~95% CEO Approval (Karri Saarinen)

Employee Review Themes

## Working at Linear: _Pros & Cons_

### ✓ What employees love

-   ✓ Obsessive product craft — building the best-in-class PM tool that teams genuinely love
-   ✓ Deep work culture with no standups and minimal meetings — actually practiced
-   ✓ Async-first communication that respects focus time and time zones
-   ✓ Small, senior team with high autonomy — trust over micromanagement

### ✗ What could be better

-   ✗ Very small team = limited roles available at any given time
-   ✗ High hiring bar means slow growth — patience required for headcount
-   ✗ Niche product category — less mainstream visibility than consumer products
-   ✗ Limited public engineering content — the team prefers building over blogging

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

TypeScript React Rust

#### Architecture

Custom sync engine architecture enabling real-time collaboration. Offline-first design ensures the app works without a connection. Performance-obsessed at every layer.

#### Product Philosophy

Every pixel matters. The team obsesses over interaction design, keyboard shortcuts, and sub-100ms response times. [Try Linear →](https://linear.app/?ref=jobsbyculture.com)

#### Team Structure

Remote-first, async-first. Small autonomous teams with no standups. Engineers own features end-to-end. Deep work is protected as a core cultural value.

Open Positions

## Join the _Linear_ team

Explore all 24 open roles at Linear below. They hire rarely and intentionally.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=linear)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Engineer Salary Guide 2026: What Companies Actually Pay by Level](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ $300B in Q1 2026: The AI Funding Boom & What It Means for Job Seekers](https://jobsbyculture.com/blog/ai-startup-funding-hiring-2026)
-   [→ Anthropic Glassdoor Reviews Decoded 2026: What 150+ Employees Actually Say](https://jobsbyculture.com/blog/anthropic-glassdoor-reviews-decoded-2026)

### Compare Linear

-   [→ Linear vs Abridge](https://jobsbyculture.com/compare/abridge-vs-linear)
-   [→ Linear vs Adyen](https://jobsbyculture.com/compare/adyen-vs-linear)
-   [→ Linear vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-linear)
-   [→ Linear vs Airtable](https://jobsbyculture.com/compare/airtable-vs-linear)
-   [→ Linear vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-linear)
-   [→ Linear vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-linear)
-   [→ Linear vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-linear)
-   [→ Linear vs Asana](https://jobsbyculture.com/compare/asana-vs-linear)
-   [→ Linear vs Baseten](https://jobsbyculture.com/compare/baseten-vs-linear)
-   [→ Linear vs Brex](https://jobsbyculture.com/compare/brex-vs-linear)
-   [→ Linear vs Celonis](https://jobsbyculture.com/compare/celonis-vs-linear)
-   [→ Linear vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-linear)
-   [→ Linear vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-linear)
-   [→ Linear vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-linear)
-   [→ Linear vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-linear)
-   [→ Linear vs Cohere](https://jobsbyculture.com/compare/cohere-vs-linear)
-   [→ Linear vs Contentful](https://jobsbyculture.com/compare/contentful-vs-linear)
-   [→ Linear vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-linear)
-   [→ Linear vs Cresta](https://jobsbyculture.com/compare/cresta-vs-linear)
-   [→ Linear vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-linear)
-   [→ Linear vs Cursor](https://jobsbyculture.com/compare/cursor-vs-linear)
-   [→ Linear vs Databricks](https://jobsbyculture.com/compare/databricks-vs-linear)
-   [→ Linear vs Datadog](https://jobsbyculture.com/compare/datadog-vs-linear)
-   [→ Linear vs Decagon](https://jobsbyculture.com/compare/decagon-vs-linear)
-   [→ Linear vs DeepL](https://jobsbyculture.com/compare/deepl-vs-linear)
-   [→ Linear vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-linear)
-   [→ Linear vs Descript](https://jobsbyculture.com/compare/descript-vs-linear)
-   [→ Linear vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-linear)
-   [→ Linear vs Elastic](https://jobsbyculture.com/compare/elastic-vs-linear)
-   [→ Linear vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-linear)
-   [→ Linear vs Figma](https://jobsbyculture.com/compare/figma-vs-linear)
-   [→ Linear vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-linear)
-   [→ Linear vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-linear)
-   [→ Linear vs Glean](https://jobsbyculture.com/compare/glean-vs-linear)
-   [→ Linear vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-linear)
-   [→ Linear vs Granola](https://jobsbyculture.com/compare/granola-vs-linear)
-   [→ Linear vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-linear)
-   [→ Linear vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-linear)
-   [→ Linear vs Helsing](https://jobsbyculture.com/compare/helsing-vs-linear)
-   [→ Linear vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-linear)
-   [→ Linear vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-linear)
-   [→ Linear vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-linear)
-   [→ Linear vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-linear)
-   [→ Linear vs Lambda](https://jobsbyculture.com/compare/lambda-vs-linear)
-   [→ Linear vs LangChain](https://jobsbyculture.com/compare/langchain-vs-linear)
-   [→ Linear vs Figma](https://jobsbyculture.com/compare/linear-vs-figma)
-   [→ Linear vs Lovable](https://jobsbyculture.com/compare/linear-vs-lovable)
-   [→ Linear vs Mercor](https://jobsbyculture.com/compare/linear-vs-mercor)
-   [→ Linear vs Mercury](https://jobsbyculture.com/compare/linear-vs-mercury)
-   [→ Linear vs Mistral AI](https://jobsbyculture.com/compare/linear-vs-mistral)
-   [→ Linear vs Modal](https://jobsbyculture.com/compare/linear-vs-modal)
-   [→ Linear vs MongoDB](https://jobsbyculture.com/compare/linear-vs-mongodb)
-   [→ Linear vs n8n](https://jobsbyculture.com/compare/linear-vs-n8n)
-   [→ Linear vs Navan](https://jobsbyculture.com/compare/linear-vs-navan)
-   [→ Linear vs Notion](https://jobsbyculture.com/compare/linear-vs-notion)
-   [→ Linear vs OpenAI](https://jobsbyculture.com/compare/linear-vs-openai)
-   [→ Linear vs Perplexity AI](https://jobsbyculture.com/compare/linear-vs-perplexity)
-   [→ Linear vs Pinecone](https://jobsbyculture.com/compare/linear-vs-pinecone)
-   [→ Linear vs Plaid](https://jobsbyculture.com/compare/linear-vs-plaid)
-   [→ Linear vs Poolside AI](https://jobsbyculture.com/compare/linear-vs-poolside)
-   [→ Linear vs PostHog](https://jobsbyculture.com/compare/linear-vs-posthog)
-   [→ Linear vs Pylon](https://jobsbyculture.com/compare/linear-vs-pylon)
-   [→ Linear vs Ramp](https://jobsbyculture.com/compare/linear-vs-ramp)
-   [→ Linear vs Replit](https://jobsbyculture.com/compare/linear-vs-replit)
-   [→ Linear vs Runway](https://jobsbyculture.com/compare/linear-vs-runway)
-   [→ Linear vs Samsara](https://jobsbyculture.com/compare/linear-vs-samsara)
-   [→ Linear vs Scale AI](https://jobsbyculture.com/compare/linear-vs-scale)
-   [→ Linear vs Sierra AI](https://jobsbyculture.com/compare/linear-vs-sierra)
-   [→ Linear vs Snowflake](https://jobsbyculture.com/compare/linear-vs-snowflake)
-   [→ Linear vs Stripe](https://jobsbyculture.com/compare/linear-vs-stripe)
-   [→ Linear vs Suno](https://jobsbyculture.com/compare/linear-vs-suno)
-   [→ Linear vs Supabase](https://jobsbyculture.com/compare/linear-vs-supabase)
-   [→ Linear vs Synthesia](https://jobsbyculture.com/compare/linear-vs-synthesia)
-   [→ Linear vs Tailscale](https://jobsbyculture.com/compare/linear-vs-tailscale)
-   [→ Linear vs Together AI](https://jobsbyculture.com/compare/linear-vs-together)
-   [→ Linear vs Twilio](https://jobsbyculture.com/compare/linear-vs-twilio)
-   [→ Linear vs Vanta](https://jobsbyculture.com/compare/linear-vs-vanta)
-   [→ Linear vs Vast AI](https://jobsbyculture.com/compare/linear-vs-vast)
-   [→ Linear vs Vercel](https://jobsbyculture.com/compare/linear-vs-vercel)
-   [→ Linear vs Wayve](https://jobsbyculture.com/compare/linear-vs-wayve)
-   [→ Linear vs Weaviate](https://jobsbyculture.com/compare/linear-vs-weaviate)
-   [→ Linear vs Webflow](https://jobsbyculture.com/compare/linear-vs-webflow)
-   [→ Linear vs Writer](https://jobsbyculture.com/compare/linear-vs-writer)



🏢

### Claim _Linear_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Lovable Glassdoor, Culture & Careers 2026 | JobsByCulture

# Lovable Glassdoor, Culture & Careers 2026 | JobsByCulture

> Lovable company profile: Stockholm-based AI app builder, $400M ARR, fast-growing team. Culture reviews and open careers at the vibe coding platform.

Source: https://jobsbyculture.com/companies/lovable
Markdown: https://jobsbyculture.com/companies/lovable.md
Last updated: 2026-07-14

---
![Lovable logo](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

# Lovable

AI App Builder & Vibe Coding Platform

The consensus on Lovable: We move fast and ship — results matter more than talk. High autonomy with massive product impact, but the pace is intense.

Stockholm

Headquarters

~150-300

Employees

$400M

ARR

Free Work at Lovable? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Lovable

Lovable is the AI-powered app builder that lets anyone create software through natural language. Founded in November 2023 by Anton Osika (CEO) and Fabian Hedin (CTO) and based in Stockholm, Lovable has seen explosive growth — reaching $400M ARR by early 2026 with massive user traction. The culture is engineering-driven and ship-fast — results matter more than process, and engineers have high autonomy and ownership over impactful work at scale.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Product Impact](https://jobsbyculture.com/values/product-impact) [Learning Culture](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Lovable Glassdoor Ratings & _Employee Reviews_

Limited data

Overall Glassdoor Score

Very small review sample — not statistically meaningful

Note: Lovable is a fast-growing startup founded in late 2023 with a very small public review sample. Specific sub-scores would not be statistically meaningful at this volume. We'll publish ratings as the review base grows.

Employee Review Themes

## Working at Lovable: _Pros & Cons_

### ✓ What employees love

-   ✓ Explosive growth — $400M ARR with massive user traction
-   ✓ High autonomy and ownership over impactful work
-   ✓ High autonomy and fast-shipping culture
-   ✓ Massive product impact at scale

### ✗ What could be better

-   ✗ Intense pace with long hours reported
-   ✗ Fast growth means processes still catching up
-   ✗ Intense pace with long working hours
-   ✗ Benefits still maturing

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

TypeScript React AI/ML

#### Product

AI-powered app builder that enables anyone to build software through natural language prompts. Pioneering the "vibe coding" movement.

#### AI & ML

LLM-powered code generation for full-stack applications. Integrates frontier AI models to translate natural language into production-ready code. [Try Lovable →](https://lovable.dev?ref=jobsbyculture.com)

#### Team Structure

Engineering-driven culture with high autonomy. Fast-shipping teams focused on product impact with rapid iteration cycles.

Open Positions

## Join the _Lovable_ team

Explore open roles at Lovable below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=lovable)

Explore More

## Related _content_

### Blog Posts

-   [→ Fastest-Growing Tech Companies Hiring in 2026: Who’s Scaling the Fastest](https://jobsbyculture.com/blog/fastest-growing-tech-companies-2026)
-   [→ Working at Lovable in 2026: Culture, Salary & What Employees Say](https://jobsbyculture.com/blog/working-at-lovable-2026)

### Compare Lovable

-   [→ Lovable vs Abridge](https://jobsbyculture.com/compare/abridge-vs-lovable)
-   [→ Lovable vs Adyen](https://jobsbyculture.com/compare/adyen-vs-lovable)
-   [→ Lovable vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-lovable)
-   [→ Lovable vs Airtable](https://jobsbyculture.com/compare/airtable-vs-lovable)
-   [→ Lovable vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-lovable)
-   [→ Lovable vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-lovable)
-   [→ Lovable vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-lovable)
-   [→ Lovable vs Asana](https://jobsbyculture.com/compare/asana-vs-lovable)
-   [→ Lovable vs Baseten](https://jobsbyculture.com/compare/baseten-vs-lovable)
-   [→ Lovable vs Brex](https://jobsbyculture.com/compare/brex-vs-lovable)
-   [→ Lovable vs Celonis](https://jobsbyculture.com/compare/celonis-vs-lovable)
-   [→ Lovable vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-lovable)
-   [→ Lovable vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-lovable)
-   [→ Lovable vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-lovable)
-   [→ Lovable vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-lovable)
-   [→ Lovable vs Cohere](https://jobsbyculture.com/compare/cohere-vs-lovable)
-   [→ Lovable vs Contentful](https://jobsbyculture.com/compare/contentful-vs-lovable)
-   [→ Lovable vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-lovable)
-   [→ Lovable vs Cresta](https://jobsbyculture.com/compare/cresta-vs-lovable)
-   [→ Lovable vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-lovable)
-   [→ Lovable vs Cursor](https://jobsbyculture.com/compare/cursor-vs-lovable)
-   [→ Lovable vs Databricks](https://jobsbyculture.com/compare/databricks-vs-lovable)
-   [→ Lovable vs Datadog](https://jobsbyculture.com/compare/datadog-vs-lovable)
-   [→ Lovable vs Decagon](https://jobsbyculture.com/compare/decagon-vs-lovable)
-   [→ Lovable vs DeepL](https://jobsbyculture.com/compare/deepl-vs-lovable)
-   [→ Lovable vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-lovable)
-   [→ Lovable vs Descript](https://jobsbyculture.com/compare/descript-vs-lovable)
-   [→ Lovable vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-lovable)
-   [→ Lovable vs Elastic](https://jobsbyculture.com/compare/elastic-vs-lovable)
-   [→ Lovable vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-lovable)
-   [→ Lovable vs Figma](https://jobsbyculture.com/compare/figma-vs-lovable)
-   [→ Lovable vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-lovable)
-   [→ Lovable vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-lovable)
-   [→ Lovable vs Glean](https://jobsbyculture.com/compare/glean-vs-lovable)
-   [→ Lovable vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-lovable)
-   [→ Lovable vs Granola](https://jobsbyculture.com/compare/granola-vs-lovable)
-   [→ Lovable vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-lovable)
-   [→ Lovable vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-lovable)
-   [→ Lovable vs Helsing](https://jobsbyculture.com/compare/helsing-vs-lovable)
-   [→ Lovable vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-lovable)
-   [→ Lovable vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-lovable)
-   [→ Lovable vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-lovable)
-   [→ Lovable vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-lovable)
-   [→ Lovable vs Lambda](https://jobsbyculture.com/compare/lambda-vs-lovable)
-   [→ Lovable vs LangChain](https://jobsbyculture.com/compare/langchain-vs-lovable)
-   [→ Lovable vs Linear](https://jobsbyculture.com/compare/linear-vs-lovable)
-   [→ Lovable vs Mercor](https://jobsbyculture.com/compare/lovable-vs-mercor)
-   [→ Lovable vs Mercury](https://jobsbyculture.com/compare/lovable-vs-mercury)
-   [→ Lovable vs Mistral AI](https://jobsbyculture.com/compare/lovable-vs-mistral)
-   [→ Lovable vs Modal](https://jobsbyculture.com/compare/lovable-vs-modal)
-   [→ Lovable vs MongoDB](https://jobsbyculture.com/compare/lovable-vs-mongodb)
-   [→ Lovable vs n8n](https://jobsbyculture.com/compare/lovable-vs-n8n)
-   [→ Lovable vs Navan](https://jobsbyculture.com/compare/lovable-vs-navan)
-   [→ Lovable vs Notion](https://jobsbyculture.com/compare/lovable-vs-notion)
-   [→ Lovable vs OpenAI](https://jobsbyculture.com/compare/lovable-vs-openai)
-   [→ Lovable vs Perplexity AI](https://jobsbyculture.com/compare/lovable-vs-perplexity)
-   [→ Lovable vs Pinecone](https://jobsbyculture.com/compare/lovable-vs-pinecone)
-   [→ Lovable vs Plaid](https://jobsbyculture.com/compare/lovable-vs-plaid)
-   [→ Lovable vs Poolside AI](https://jobsbyculture.com/compare/lovable-vs-poolside)
-   [→ Lovable vs PostHog](https://jobsbyculture.com/compare/lovable-vs-posthog)
-   [→ Lovable vs Pylon](https://jobsbyculture.com/compare/lovable-vs-pylon)
-   [→ Lovable vs Ramp](https://jobsbyculture.com/compare/lovable-vs-ramp)
-   [→ Lovable vs Replit](https://jobsbyculture.com/compare/lovable-vs-replit)
-   [→ Lovable vs Runway](https://jobsbyculture.com/compare/lovable-vs-runway)
-   [→ Lovable vs Samsara](https://jobsbyculture.com/compare/lovable-vs-samsara)
-   [→ Lovable vs Scale AI](https://jobsbyculture.com/compare/lovable-vs-scale)
-   [→ Lovable vs Sierra AI](https://jobsbyculture.com/compare/lovable-vs-sierra)
-   [→ Lovable vs Snowflake](https://jobsbyculture.com/compare/lovable-vs-snowflake)
-   [→ Lovable vs Stripe](https://jobsbyculture.com/compare/lovable-vs-stripe)
-   [→ Lovable vs Suno](https://jobsbyculture.com/compare/lovable-vs-suno)
-   [→ Lovable vs Supabase](https://jobsbyculture.com/compare/lovable-vs-supabase)
-   [→ Lovable vs Synthesia](https://jobsbyculture.com/compare/lovable-vs-synthesia)
-   [→ Lovable vs Tailscale](https://jobsbyculture.com/compare/lovable-vs-tailscale)
-   [→ Lovable vs Together AI](https://jobsbyculture.com/compare/lovable-vs-together)
-   [→ Lovable vs Twilio](https://jobsbyculture.com/compare/lovable-vs-twilio)
-   [→ Lovable vs Vanta](https://jobsbyculture.com/compare/lovable-vs-vanta)
-   [→ Lovable vs Vast AI](https://jobsbyculture.com/compare/lovable-vs-vast)
-   [→ Lovable vs Vercel](https://jobsbyculture.com/compare/lovable-vs-vercel)
-   [→ Lovable vs Wayve](https://jobsbyculture.com/compare/lovable-vs-wayve)
-   [→ Lovable vs Weaviate](https://jobsbyculture.com/compare/lovable-vs-weaviate)
-   [→ Lovable vs Webflow](https://jobsbyculture.com/compare/lovable-vs-webflow)
-   [→ Lovable vs Writer](https://jobsbyculture.com/compare/lovable-vs-writer)



🏢

### Claim _Lovable_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Mercor Glassdoor, Culture & Careers 2026 | JobsByCulture

# Mercor Glassdoor, Culture & Careers 2026 | JobsByCulture

> Mercor company profile: 3.9 Glassdoor, ~200 employees, $150k–$350k comp. AI hiring platform culture, work-life balance reviews, and open careers.

Source: https://jobsbyculture.com/companies/mercor
Markdown: https://jobsbyculture.com/companies/mercor.md
Last updated: 2026-07-14

---
![Mercor logo](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

# Mercor

AI Hiring Platform — Defining the Future of Work

The consensus on Mercor: Choose Mercor if you want to build the infrastructure layer for AI-era hiring at a $10B rocketship — but be ready for 9/9/6 intensity.

2023

Founded

San Francisco

Headquarters

~200

Employees

~$10B

Valuation

Free Work at Mercor? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Mercor

Founded in 2023 by three high school friends from Bellarmine College Prep — Brendan Foody, Adarsh Hiremath, and Surya Midha — who dropped out of Harvard and Georgetown to build an AI-native hiring platform that matches talent with companies using proprietary AI models. The company scaled to a $1B+ revenue run rate with a remarkably small core team, earning a $10B valuation by late 2025. The culture is unapologetically intense: long hours, fast shipping, and a belief that the AI labor market is a once-in-a-generation opportunity worth sprinting toward.

[Ship Fast](https://jobsbyculture.com/values/ship-fast) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Flat Hierarchy](https://jobsbyculture.com/values/flat) [Strong Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Mercor Glassdoor Ratings & _Employee Reviews_

3.9

Overall Glassdoor Score

Based on 87 reviews

Culture & Values 3.6

Work-Life Balance 3.9

Compensation & Benefits 4.0

Career Opportunities 3.7

Senior Management 3.5

Overall Rating 3.9

74% Recommend to a Friend

Employee Review Themes

## Working at Mercor: _Pros & Cons_

### ✓ What employees love

-   ✓ Building the AI hiring infrastructure — massive TAM and strong revenue growth
-   ✓ Extremely well-funded ($10B valuation) with competitive compensation
-   ✓ Tiny core team means outsized individual impact on the product
-   ✓ Technical MIT founders still deeply involved in product and engineering

### ✗ What could be better

-   ✗ Intense 9/9/6 schedule — 9am to 9pm, 6 days a week is the norm
-   ✗ Work-life balance is genuinely sacrificed for speed of execution
-   ✗ Rapid growth creating organizational growing pains and process gaps
-   ✗ 2026 LiteLLM supply-chain data breach raised security and trust concerns

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python TypeScript React ML/AI

#### Product

AI-native hiring platform that uses proprietary models to match talent with companies. Manages tens of thousands of contractors and processes millions in daily payroll through intelligent matching.

#### AI & ML

Custom AI models for talent assessment, interview analysis, and skill matching. The APEX-Agents benchmarking framework evaluates AI model performance. [Learn more →](https://www.mercor.com/?ref=jobsbyculture.com)

#### Team Structure

Flat and fast-moving. Small core engineering team with extreme ownership. Engineers ship features end-to-end with minimal process overhead. Speed is the primary cultural value.

Open Positions

## Join the _Mercor_ team

Explore open roles at Mercor below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=mercor)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Best AI Companies for Engineers in 2026](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)

### Similar Companies

-   [→ Scale AI](https://jobsbyculture.com/companies/scale)
-   [→ Anthropic](https://jobsbyculture.com/companies/anthropic)
-   [→ OpenAI](https://jobsbyculture.com/companies/openai)
-   [→ Cursor](https://jobsbyculture.com/companies/cursor)

Explore More

## Related _content_

### Blog Posts

-   [→ $300B in Q1 2026: The AI Funding Boom & What It Means for Job Seekers](https://jobsbyculture.com/blog/ai-startup-funding-hiring-2026)
-   [→ Founding Engineer Career Path 2026: Equity, Scope, Risk & Reality](https://jobsbyculture.com/blog/founding-engineer-career-path-2026)
-   [→ The Two-Speed Tech Hiring Market in 2026: AI vs Everything Else](https://jobsbyculture.com/blog/two-speed-tech-hiring-market-2026)
-   [→ Mercor in 2026: $10B Valuation, 200 Employees, Salary & Culture](https://jobsbyculture.com/blog/working-at-mercor-2026)

### Compare Mercor

-   [→ Mercor vs Abridge](https://jobsbyculture.com/compare/abridge-vs-mercor)
-   [→ Mercor vs Adyen](https://jobsbyculture.com/compare/adyen-vs-mercor)
-   [→ Mercor vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-mercor)
-   [→ Mercor vs Airtable](https://jobsbyculture.com/compare/airtable-vs-mercor)
-   [→ Mercor vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-mercor)
-   [→ Mercor vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-mercor)
-   [→ Mercor vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-mercor)
-   [→ Mercor vs Asana](https://jobsbyculture.com/compare/asana-vs-mercor)
-   [→ Mercor vs Baseten](https://jobsbyculture.com/compare/baseten-vs-mercor)
-   [→ Mercor vs Brex](https://jobsbyculture.com/compare/brex-vs-mercor)
-   [→ Mercor vs Celonis](https://jobsbyculture.com/compare/celonis-vs-mercor)
-   [→ Mercor vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-mercor)
-   [→ Mercor vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-mercor)
-   [→ Mercor vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-mercor)
-   [→ Mercor vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-mercor)
-   [→ Mercor vs Cohere](https://jobsbyculture.com/compare/cohere-vs-mercor)
-   [→ Mercor vs Contentful](https://jobsbyculture.com/compare/contentful-vs-mercor)
-   [→ Mercor vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-mercor)
-   [→ Mercor vs Cresta](https://jobsbyculture.com/compare/cresta-vs-mercor)
-   [→ Mercor vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-mercor)
-   [→ Mercor vs Cursor](https://jobsbyculture.com/compare/cursor-vs-mercor)
-   [→ Mercor vs Databricks](https://jobsbyculture.com/compare/databricks-vs-mercor)
-   [→ Mercor vs Datadog](https://jobsbyculture.com/compare/datadog-vs-mercor)
-   [→ Mercor vs Decagon](https://jobsbyculture.com/compare/decagon-vs-mercor)
-   [→ Mercor vs DeepL](https://jobsbyculture.com/compare/deepl-vs-mercor)
-   [→ Mercor vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-mercor)
-   [→ Mercor vs Descript](https://jobsbyculture.com/compare/descript-vs-mercor)
-   [→ Mercor vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-mercor)
-   [→ Mercor vs Elastic](https://jobsbyculture.com/compare/elastic-vs-mercor)
-   [→ Mercor vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-mercor)
-   [→ Mercor vs Figma](https://jobsbyculture.com/compare/figma-vs-mercor)
-   [→ Mercor vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-mercor)
-   [→ Mercor vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-mercor)
-   [→ Mercor vs Glean](https://jobsbyculture.com/compare/glean-vs-mercor)
-   [→ Mercor vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-mercor)
-   [→ Mercor vs Granola](https://jobsbyculture.com/compare/granola-vs-mercor)
-   [→ Mercor vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-mercor)
-   [→ Mercor vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-mercor)
-   [→ Mercor vs Helsing](https://jobsbyculture.com/compare/helsing-vs-mercor)
-   [→ Mercor vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-mercor)
-   [→ Mercor vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-mercor)
-   [→ Mercor vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-mercor)
-   [→ Mercor vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-mercor)
-   [→ Mercor vs Lambda](https://jobsbyculture.com/compare/lambda-vs-mercor)
-   [→ Mercor vs LangChain](https://jobsbyculture.com/compare/langchain-vs-mercor)
-   [→ Mercor vs Linear](https://jobsbyculture.com/compare/linear-vs-mercor)
-   [→ Mercor vs Lovable](https://jobsbyculture.com/compare/lovable-vs-mercor)
-   [→ Mercor vs Mercury](https://jobsbyculture.com/compare/mercor-vs-mercury)
-   [→ Mercor vs Mistral AI](https://jobsbyculture.com/compare/mercor-vs-mistral)
-   [→ Mercor vs Modal](https://jobsbyculture.com/compare/mercor-vs-modal)
-   [→ Mercor vs MongoDB](https://jobsbyculture.com/compare/mercor-vs-mongodb)
-   [→ Mercor vs n8n](https://jobsbyculture.com/compare/mercor-vs-n8n)
-   [→ Mercor vs Navan](https://jobsbyculture.com/compare/mercor-vs-navan)
-   [→ Mercor vs Notion](https://jobsbyculture.com/compare/mercor-vs-notion)
-   [→ Mercor vs OpenAI](https://jobsbyculture.com/compare/mercor-vs-openai)
-   [→ Mercor vs Perplexity AI](https://jobsbyculture.com/compare/mercor-vs-perplexity)
-   [→ Mercor vs Pinecone](https://jobsbyculture.com/compare/mercor-vs-pinecone)
-   [→ Mercor vs Plaid](https://jobsbyculture.com/compare/mercor-vs-plaid)
-   [→ Mercor vs Poolside AI](https://jobsbyculture.com/compare/mercor-vs-poolside)
-   [→ Mercor vs PostHog](https://jobsbyculture.com/compare/mercor-vs-posthog)
-   [→ Mercor vs Pylon](https://jobsbyculture.com/compare/mercor-vs-pylon)
-   [→ Mercor vs Ramp](https://jobsbyculture.com/compare/mercor-vs-ramp)
-   [→ Mercor vs Replit](https://jobsbyculture.com/compare/mercor-vs-replit)
-   [→ Mercor vs Runway](https://jobsbyculture.com/compare/mercor-vs-runway)
-   [→ Mercor vs Samsara](https://jobsbyculture.com/compare/mercor-vs-samsara)
-   [→ Mercor vs Scale AI](https://jobsbyculture.com/compare/mercor-vs-scale)
-   [→ Mercor vs Sierra AI](https://jobsbyculture.com/compare/mercor-vs-sierra)
-   [→ Mercor vs Snowflake](https://jobsbyculture.com/compare/mercor-vs-snowflake)
-   [→ Mercor vs Stripe](https://jobsbyculture.com/compare/mercor-vs-stripe)
-   [→ Mercor vs Suno](https://jobsbyculture.com/compare/mercor-vs-suno)
-   [→ Mercor vs Supabase](https://jobsbyculture.com/compare/mercor-vs-supabase)
-   [→ Mercor vs Synthesia](https://jobsbyculture.com/compare/mercor-vs-synthesia)
-   [→ Mercor vs Tailscale](https://jobsbyculture.com/compare/mercor-vs-tailscale)
-   [→ Mercor vs Together AI](https://jobsbyculture.com/compare/mercor-vs-together)
-   [→ Mercor vs Twilio](https://jobsbyculture.com/compare/mercor-vs-twilio)
-   [→ Mercor vs Vanta](https://jobsbyculture.com/compare/mercor-vs-vanta)
-   [→ Mercor vs Vast AI](https://jobsbyculture.com/compare/mercor-vs-vast)
-   [→ Mercor vs Vercel](https://jobsbyculture.com/compare/mercor-vs-vercel)
-   [→ Mercor vs Wayve](https://jobsbyculture.com/compare/mercor-vs-wayve)
-   [→ Mercor vs Weaviate](https://jobsbyculture.com/compare/mercor-vs-weaviate)
-   [→ Mercor vs Webflow](https://jobsbyculture.com/compare/mercor-vs-webflow)
-   [→ Mercor vs Writer](https://jobsbyculture.com/compare/mercor-vs-writer)



🏢

### Claim _Mercor_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Mercury Culture & Jobs | JobsByCulture

# Mercury Culture & Jobs | JobsByCulture

> Mercury engineering culture: 4.3 Glassdoor, remote-friendly, fintech. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/mercury
Markdown: https://jobsbyculture.com/companies/mercury.md
Last updated: 2026-07-14

---
![Mercury logo](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

# Mercury

Banking and Financial Services Platform — Built for Startups and Scaling Companies

The consensus on Mercury: Choose Mercury if you want product ownership, fast growth, and to build banking infrastructure for startups — but expect growing pains and occasionally intense workloads.

2019

Founded

San Francisco, CA

HQ (Remote-Friendly)

~1,000

Employees

$5.2B

Valuation (2026)

Free Work at Mercury? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Mercury

Founded in 2017 (product launched 2019) by Immad Akhund, Max Tagher, and Jason Zhang, Mercury has quickly become the go-to banking platform for startups and tech companies. Great Place to Work certified, Mercury emphasizes a product-first mindset where engineers have genuine autonomy and ownership over meaningful scope. The team has scaled to ~1,000 employees, backed by a $300M Sequoia-led Series C and a 2026 Series D that brought valuation to $5.2B. With 85% positive business outlook and smart, motivated teammates, Mercury is a fast-growing fintech where engineers build the financial infrastructure powering the startup ecosystem.

[Product Impact](https://jobsbyculture.com/values/product-impact) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Learning & Growth](https://jobsbyculture.com/values/learning) [Equity & Ownership](https://jobsbyculture.com/values/equity) [Wears Many Hats](https://jobsbyculture.com/values/many-hats)

Glassdoor Ratings

## Mercury Glassdoor Ratings & _Employee Reviews_

4.3

Overall Glassdoor Score

Based on 112 reviews

Culture & Values 3.9

Compensation & Benefits 4.0

Senior Management 3.8

Career Opportunities 3.9

Work-Life Balance 3.8

Overall Rating 4.3

79% Recommend to a Friend

85% CEO Approval (Immad Akhund)

Employee Review Themes

## Working at Mercury: _Pros & Cons_

### ✓ What employees love

-   ✓ Great Place to Work certified — strong talent density with smart, motivated teammates
-   ✓ Genuine autonomy and ownership — product-first mindset with meaningful scope for engineers
-   ✓ 85% positive business outlook — well-funded ($5.2B valuation as of 2026) and growing rapidly
-   ✓ Competitive compensation and benefits with strong equity packages
-   ✓ Build financial infrastructure used by thousands of startups and scaling companies

### ✗ What could be better

-   ✗ Still figuring out how to scale processes — expect ambiguity and shifting priorities during growth
-   ✗ Work-life balance rated 3.8/5 — periods of higher intensity during rapid scaling phases
-   ✗ Fast growth toward 1,000+ employees means some organizational growing pains
-   ✗ Some inconsistency in management quality as the company scales quickly

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Ruby on Rails TypeScript React PostgreSQL Kubernetes AWS

#### Open Source & Research

Active in financial technology standards and API design best practices.

#### Engineering Blog

Covers fintech infrastructure, API design, and scaling challenges. [Read the blog →](https://mercury.com/blog?ref=jobsbyculture.com)

#### Team Structure

Cross-functional product teams with strong engineering ownership. Engineers work closely with product and design to ship features that directly impact startup founders.

Open Positions

## Join the _Mercury_ team

... open positions.

🌐 Remote

✕ Clear

[See all Mercury jobs →](https://jobsbyculture.com/jobs?company=mercury)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Best AI Tools for Accounting in 2026: 8 Picks by Workflow](https://jobsbyculture.com/blog/ai-tools-accounting-2026)
-   [→ 50+ Culture-Fit Interview Questions That Actually Predict Fit (2026)](https://jobsbyculture.com/blog/culture-fit-interview-questions)
-   [→ AI Employer Brand Benchmarks 2026: Median 4.2 Glassdoor, 3.8 WLB Across 118 Companies](https://jobsbyculture.com/blog/employer-brand-benchmarks-ai-2026)

### Compare Mercury

-   [→ Mercury vs Abridge](https://jobsbyculture.com/compare/abridge-vs-mercury)
-   [→ Mercury vs Adyen](https://jobsbyculture.com/compare/adyen-vs-mercury)
-   [→ Mercury vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-mercury)
-   [→ Mercury vs Airtable](https://jobsbyculture.com/compare/airtable-vs-mercury)
-   [→ Mercury vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-mercury)
-   [→ Mercury vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-mercury)
-   [→ Mercury vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-mercury)
-   [→ Mercury vs Asana](https://jobsbyculture.com/compare/asana-vs-mercury)
-   [→ Mercury vs Baseten](https://jobsbyculture.com/compare/baseten-vs-mercury)
-   [→ Mercury vs Brex](https://jobsbyculture.com/compare/brex-vs-mercury)
-   [→ Mercury vs Celonis](https://jobsbyculture.com/compare/celonis-vs-mercury)
-   [→ Mercury vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-mercury)
-   [→ Mercury vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-mercury)
-   [→ Mercury vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-mercury)
-   [→ Mercury vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-mercury)
-   [→ Mercury vs Cohere](https://jobsbyculture.com/compare/cohere-vs-mercury)
-   [→ Mercury vs Contentful](https://jobsbyculture.com/compare/contentful-vs-mercury)
-   [→ Mercury vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-mercury)
-   [→ Mercury vs Cresta](https://jobsbyculture.com/compare/cresta-vs-mercury)
-   [→ Mercury vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-mercury)
-   [→ Mercury vs Cursor](https://jobsbyculture.com/compare/cursor-vs-mercury)
-   [→ Mercury vs Databricks](https://jobsbyculture.com/compare/databricks-vs-mercury)
-   [→ Mercury vs Datadog](https://jobsbyculture.com/compare/datadog-vs-mercury)
-   [→ Mercury vs Decagon](https://jobsbyculture.com/compare/decagon-vs-mercury)
-   [→ Mercury vs DeepL](https://jobsbyculture.com/compare/deepl-vs-mercury)
-   [→ Mercury vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-mercury)
-   [→ Mercury vs Descript](https://jobsbyculture.com/compare/descript-vs-mercury)
-   [→ Mercury vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-mercury)
-   [→ Mercury vs Elastic](https://jobsbyculture.com/compare/elastic-vs-mercury)
-   [→ Mercury vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-mercury)
-   [→ Mercury vs Figma](https://jobsbyculture.com/compare/figma-vs-mercury)
-   [→ Mercury vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-mercury)
-   [→ Mercury vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-mercury)
-   [→ Mercury vs Glean](https://jobsbyculture.com/compare/glean-vs-mercury)
-   [→ Mercury vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-mercury)
-   [→ Mercury vs Granola](https://jobsbyculture.com/compare/granola-vs-mercury)
-   [→ Mercury vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-mercury)
-   [→ Mercury vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-mercury)
-   [→ Mercury vs Helsing](https://jobsbyculture.com/compare/helsing-vs-mercury)
-   [→ Mercury vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-mercury)
-   [→ Mercury vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-mercury)
-   [→ Mercury vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-mercury)
-   [→ Mercury vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-mercury)
-   [→ Mercury vs Lambda](https://jobsbyculture.com/compare/lambda-vs-mercury)
-   [→ Mercury vs LangChain](https://jobsbyculture.com/compare/langchain-vs-mercury)
-   [→ Mercury vs Linear](https://jobsbyculture.com/compare/linear-vs-mercury)
-   [→ Mercury vs Lovable](https://jobsbyculture.com/compare/lovable-vs-mercury)
-   [→ Mercury vs Mercor](https://jobsbyculture.com/compare/mercor-vs-mercury)
-   [→ Mercury vs Mistral AI](https://jobsbyculture.com/compare/mercury-vs-mistral)
-   [→ Mercury vs Modal](https://jobsbyculture.com/compare/mercury-vs-modal)
-   [→ Mercury vs MongoDB](https://jobsbyculture.com/compare/mercury-vs-mongodb)
-   [→ Mercury vs n8n](https://jobsbyculture.com/compare/mercury-vs-n8n)
-   [→ Mercury vs Navan](https://jobsbyculture.com/compare/mercury-vs-navan)
-   [→ Mercury vs Notion](https://jobsbyculture.com/compare/mercury-vs-notion)
-   [→ Mercury vs OpenAI](https://jobsbyculture.com/compare/mercury-vs-openai)
-   [→ Mercury vs Perplexity AI](https://jobsbyculture.com/compare/mercury-vs-perplexity)
-   [→ Mercury vs Pinecone](https://jobsbyculture.com/compare/mercury-vs-pinecone)
-   [→ Mercury vs Plaid](https://jobsbyculture.com/compare/mercury-vs-plaid)
-   [→ Mercury vs Poolside AI](https://jobsbyculture.com/compare/mercury-vs-poolside)
-   [→ Mercury vs PostHog](https://jobsbyculture.com/compare/mercury-vs-posthog)
-   [→ Mercury vs Pylon](https://jobsbyculture.com/compare/mercury-vs-pylon)
-   [→ Mercury vs Ramp](https://jobsbyculture.com/compare/mercury-vs-ramp)
-   [→ Mercury vs Replit](https://jobsbyculture.com/compare/mercury-vs-replit)
-   [→ Mercury vs Runway](https://jobsbyculture.com/compare/mercury-vs-runway)
-   [→ Mercury vs Samsara](https://jobsbyculture.com/compare/mercury-vs-samsara)
-   [→ Mercury vs Scale AI](https://jobsbyculture.com/compare/mercury-vs-scale)
-   [→ Mercury vs Sierra AI](https://jobsbyculture.com/compare/mercury-vs-sierra)
-   [→ Mercury vs Snowflake](https://jobsbyculture.com/compare/mercury-vs-snowflake)
-   [→ Mercury vs Stripe](https://jobsbyculture.com/compare/mercury-vs-stripe)
-   [→ Mercury vs Suno](https://jobsbyculture.com/compare/mercury-vs-suno)
-   [→ Mercury vs Supabase](https://jobsbyculture.com/compare/mercury-vs-supabase)
-   [→ Mercury vs Synthesia](https://jobsbyculture.com/compare/mercury-vs-synthesia)
-   [→ Mercury vs Tailscale](https://jobsbyculture.com/compare/mercury-vs-tailscale)
-   [→ Mercury vs Together AI](https://jobsbyculture.com/compare/mercury-vs-together)
-   [→ Mercury vs Twilio](https://jobsbyculture.com/compare/mercury-vs-twilio)
-   [→ Mercury vs Vanta](https://jobsbyculture.com/compare/mercury-vs-vanta)
-   [→ Mercury vs Vast AI](https://jobsbyculture.com/compare/mercury-vs-vast)
-   [→ Mercury vs Vercel](https://jobsbyculture.com/compare/mercury-vs-vercel)
-   [→ Mercury vs Wayve](https://jobsbyculture.com/compare/mercury-vs-wayve)
-   [→ Mercury vs Weaviate](https://jobsbyculture.com/compare/mercury-vs-weaviate)
-   [→ Mercury vs Webflow](https://jobsbyculture.com/compare/mercury-vs-webflow)
-   [→ Mercury vs Writer](https://jobsbyculture.com/compare/mercury-vs-writer)



🏢

### Claim _Mercury_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Mistral AI Culture & Jobs | JobsByCulture

# Mistral AI Culture & Jobs | JobsByCulture

> Mistral AI engineering culture: 4.0 Glassdoor, open-weight models, Paris HQ. See 0 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/mistral
Markdown: https://jobsbyculture.com/companies/mistral.md
Last updated: 2026-07-14

---
![Mistral AI logo](https://www.google.com/s2/favicons?domain=mistral.ai&sz=128)

# Mistral AI

Europe's Leading AI Lab — Open-Weight Models, Research-First

The consensus on Mistral AI: Choose Mistral if you want small-team impact at Europe's top AI lab — but expect minimal process and Paris-first culture.

2023

Founded

Paris

Headquarters

~700+

Employees

~$13B

Valuation

Free Work at Mistral AI? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Mistral AI

Mistral AI is Europe's leading AI lab, building open-weight foundation models that compete with the best in the world. Founded by ex-DeepMind and Meta researchers (Arthur Mensch, Guillaume Lample, and Timothée Lacroix), the culture is intensely engineering-driven with a flat structure, fast shipping cadence, and a strong open-source philosophy. The team has scaled past 700 employees, but the small-team punch-above-weight ethos remains.

[Ship Fast](https://jobsbyculture.com/values/ship-fast) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Flat Structure](https://jobsbyculture.com/values/flat) [Wear Many Hats](https://jobsbyculture.com/values/many-hats) [Open Source](https://jobsbyculture.com/values/open-source)

Glassdoor Ratings

## Mistral AI Glassdoor Ratings & _Employee Reviews_

4.0

Overall Glassdoor Score

Based on 30 reviews

Culture & Values 4.2

Work-Life Balance 3.6

Compensation & Benefits 4.0

Career Opportunities 3.5

Senior Management 3.8

Overall Rating 4.0

80% Recommend to a Friend

85% CEO Approval (Arthur Mensch)

Employee Review Themes

## Working at Mistral AI: _Pros & Cons_

### ✓ What employees love

-   ✓ Small team punching way above weight — Mixtral, Mistral Large
-   ✓ European AI champion with strong research DNA
-   ✓ Open-weight model philosophy
-   ✓ Startup speed with serious funding

### ✗ What could be better

-   ✗ Very early-stage — processes are minimal
-   ✗ Paris-centric (limited remote)
-   ✗ Intense pace, startup hours
-   ✗ Limited career ladder at this size

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python C++ CUDA

#### Models

Mixtral Mistral Large

#### Platform

La Plateforme API for enterprise deployment. Building open-weight models that compete at the frontier.

#### Team Structure

Flat, research-lab-style organization. ~100 people where everyone wears many hats. Ex-DeepMind and Meta research talent.

Open Positions

## Join the _Mistral AI_ team

... open positions.

🌐 Remote

✕ Clear

[See all 0 Mistral AI jobs →](https://jobsbyculture.com/jobs?company=mistral)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ 50+ AI Engineer Interview Questions in 2026 (Real Questions, Honest Answers)](https://jobsbyculture.com/blog/ai-engineer-interview-questions-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ AI Jobs in Paris 2026: 170 Roles at Mistral, Datadog, Hugging Face & 10 More Companies](https://jobsbyculture.com/blog/ai-jobs-paris-2026)
-   [→ $300B in Q1 2026: The AI Funding Boom & What It Means for Job Seekers](https://jobsbyculture.com/blog/ai-startup-funding-hiring-2026)

### Compare Mistral AI

-   [→ Mistral AI vs Abridge](https://jobsbyculture.com/compare/abridge-vs-mistral)
-   [→ Mistral AI vs Adyen](https://jobsbyculture.com/compare/adyen-vs-mistral)
-   [→ Mistral AI vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-mistral)
-   [→ Mistral AI vs Airtable](https://jobsbyculture.com/compare/airtable-vs-mistral)
-   [→ Mistral AI vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-mistral)
-   [→ Mistral AI vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-mistral)
-   [→ Mistral AI vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-mistral)
-   [→ Mistral AI vs Asana](https://jobsbyculture.com/compare/asana-vs-mistral)
-   [→ Mistral AI vs Baseten](https://jobsbyculture.com/compare/baseten-vs-mistral)
-   [→ Mistral AI vs Brex](https://jobsbyculture.com/compare/brex-vs-mistral)
-   [→ Mistral AI vs Celonis](https://jobsbyculture.com/compare/celonis-vs-mistral)
-   [→ Mistral AI vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-mistral)
-   [→ Mistral AI vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-mistral)
-   [→ Mistral AI vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-mistral)
-   [→ Mistral AI vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-mistral)
-   [→ Mistral AI vs Cohere](https://jobsbyculture.com/compare/cohere-vs-mistral)
-   [→ Mistral AI vs Contentful](https://jobsbyculture.com/compare/contentful-vs-mistral)
-   [→ Mistral AI vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-mistral)
-   [→ Mistral AI vs Cresta](https://jobsbyculture.com/compare/cresta-vs-mistral)
-   [→ Mistral AI vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-mistral)
-   [→ Mistral AI vs Cursor](https://jobsbyculture.com/compare/cursor-vs-mistral)
-   [→ Mistral AI vs Databricks](https://jobsbyculture.com/compare/databricks-vs-mistral)
-   [→ Mistral AI vs Datadog](https://jobsbyculture.com/compare/datadog-vs-mistral)
-   [→ Mistral AI vs Decagon](https://jobsbyculture.com/compare/decagon-vs-mistral)
-   [→ Mistral AI vs DeepL](https://jobsbyculture.com/compare/deepl-vs-mistral)
-   [→ Mistral AI vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-mistral)
-   [→ Mistral AI vs Descript](https://jobsbyculture.com/compare/descript-vs-mistral)
-   [→ Mistral AI vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-mistral)
-   [→ Mistral AI vs Elastic](https://jobsbyculture.com/compare/elastic-vs-mistral)
-   [→ Mistral AI vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-mistral)
-   [→ Mistral AI vs Figma](https://jobsbyculture.com/compare/figma-vs-mistral)
-   [→ Mistral AI vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-mistral)
-   [→ Mistral AI vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-mistral)
-   [→ Mistral AI vs Glean](https://jobsbyculture.com/compare/glean-vs-mistral)
-   [→ Mistral AI vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-mistral)
-   [→ Mistral AI vs Granola](https://jobsbyculture.com/compare/granola-vs-mistral)
-   [→ Mistral AI vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-mistral)
-   [→ Mistral AI vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-mistral)
-   [→ Mistral AI vs Helsing](https://jobsbyculture.com/compare/helsing-vs-mistral)
-   [→ Mistral AI vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-mistral)
-   [→ Mistral AI vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-mistral)
-   [→ Mistral AI vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-mistral)
-   [→ Mistral AI vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-mistral)
-   [→ Mistral AI vs Lambda](https://jobsbyculture.com/compare/lambda-vs-mistral)
-   [→ Mistral AI vs LangChain](https://jobsbyculture.com/compare/langchain-vs-mistral)
-   [→ Mistral AI vs Linear](https://jobsbyculture.com/compare/linear-vs-mistral)
-   [→ Mistral AI vs Lovable](https://jobsbyculture.com/compare/lovable-vs-mistral)
-   [→ Mistral AI vs Mercor](https://jobsbyculture.com/compare/mercor-vs-mistral)
-   [→ Mistral AI vs Mercury](https://jobsbyculture.com/compare/mercury-vs-mistral)
-   [→ Mistral AI vs Modal](https://jobsbyculture.com/compare/mistral-vs-modal)
-   [→ Mistral AI vs MongoDB](https://jobsbyculture.com/compare/mistral-vs-mongodb)
-   [→ Mistral AI vs n8n](https://jobsbyculture.com/compare/mistral-vs-n8n)
-   [→ Mistral AI vs Navan](https://jobsbyculture.com/compare/mistral-vs-navan)
-   [→ Mistral AI vs Notion](https://jobsbyculture.com/compare/mistral-vs-notion)
-   [→ Mistral AI vs OpenAI](https://jobsbyculture.com/compare/mistral-vs-openai)
-   [→ Mistral AI vs Perplexity AI](https://jobsbyculture.com/compare/mistral-vs-perplexity)
-   [→ Mistral AI vs Pinecone](https://jobsbyculture.com/compare/mistral-vs-pinecone)
-   [→ Mistral AI vs Plaid](https://jobsbyculture.com/compare/mistral-vs-plaid)
-   [→ Mistral AI vs Poolside AI](https://jobsbyculture.com/compare/mistral-vs-poolside)
-   [→ Mistral AI vs PostHog](https://jobsbyculture.com/compare/mistral-vs-posthog)
-   [→ Mistral AI vs Pylon](https://jobsbyculture.com/compare/mistral-vs-pylon)
-   [→ Mistral AI vs Ramp](https://jobsbyculture.com/compare/mistral-vs-ramp)
-   [→ Mistral AI vs Replit](https://jobsbyculture.com/compare/mistral-vs-replit)
-   [→ Mistral AI vs Runway](https://jobsbyculture.com/compare/mistral-vs-runway)
-   [→ Mistral AI vs Samsara](https://jobsbyculture.com/compare/mistral-vs-samsara)
-   [→ Mistral AI vs Scale AI](https://jobsbyculture.com/compare/mistral-vs-scale)
-   [→ Mistral AI vs Sierra AI](https://jobsbyculture.com/compare/mistral-vs-sierra)
-   [→ Mistral AI vs Snowflake](https://jobsbyculture.com/compare/mistral-vs-snowflake)
-   [→ Mistral AI vs Stripe](https://jobsbyculture.com/compare/mistral-vs-stripe)
-   [→ Mistral AI vs Suno](https://jobsbyculture.com/compare/mistral-vs-suno)
-   [→ Mistral AI vs Supabase](https://jobsbyculture.com/compare/mistral-vs-supabase)
-   [→ Mistral AI vs Synthesia](https://jobsbyculture.com/compare/mistral-vs-synthesia)
-   [→ Mistral AI vs Tailscale](https://jobsbyculture.com/compare/mistral-vs-tailscale)
-   [→ Mistral AI vs Together AI](https://jobsbyculture.com/compare/mistral-vs-together)
-   [→ Mistral AI vs Twilio](https://jobsbyculture.com/compare/mistral-vs-twilio)
-   [→ Mistral AI vs Vanta](https://jobsbyculture.com/compare/mistral-vs-vanta)
-   [→ Mistral AI vs Vast AI](https://jobsbyculture.com/compare/mistral-vs-vast)
-   [→ Mistral AI vs Vercel](https://jobsbyculture.com/compare/mistral-vs-vercel)
-   [→ Mistral AI vs Wayve](https://jobsbyculture.com/compare/mistral-vs-wayve)
-   [→ Mistral AI vs Weaviate](https://jobsbyculture.com/compare/mistral-vs-weaviate)
-   [→ Mistral AI vs Webflow](https://jobsbyculture.com/compare/mistral-vs-webflow)
-   [→ Mistral AI vs Writer](https://jobsbyculture.com/compare/mistral-vs-writer)



🏢

### Claim _Mistral AI_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Modal Culture & Jobs | JobsByCulture

# Modal Culture & Jobs | JobsByCulture

> Modal engineering culture: 3.4 Glassdoor, $194K-$401K TC, serverless GPU cloud for AI/ML. See 33 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/modal
Markdown: https://jobsbyculture.com/companies/modal.md
Last updated: 2026-07-14

---
![Modal logo](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

# Modal

Serverless GPU Cloud — Infrastructure for AI/ML Workloads

The consensus on Modal: Choose Modal if you want genuinely hard infrastructure problems, exceptional peers from competitive programming, and meaningful equity — but expect a demanding culture and intense pace.

2021

Founded

San Francisco

Headquarters

~118

Employees

~$4.65B

Valuation

Free Work at Modal? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Modal

Founded in 2021 by Erik Bernhardsson (ex-Spotify ML engineering, ex-Better.com CTO) and Akshat Bubna (MIT, IOI gold medalist), Modal builds serverless GPU cloud infrastructure from scratch in Rust. The culture is intensely technical, attracting competitive programmers and systems engineers who thrive on hard problems. Engineers design products for engineers — fast feedback loops are the primary engineering value.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Deep Systems](https://jobsbyculture.com/values/eng-driven) [High Ownership](https://jobsbyculture.com/values/many-hats) [Technical Excellence](https://jobsbyculture.com/values/eng-driven)

Glassdoor Ratings

## Modal Glassdoor Ratings & _Employee Reviews_

3.4

Overall Glassdoor Score

Based on 22 reviews

Culture & Values 3.1

Compensation & Benefits 3.3

Work-Life Balance 3.2

Career Opportunities 3.2

Senior Management 3.0

Overall Rating 3.4

43% Recommend to a Friend

Employee Review Themes

## Working at Modal: _Pros & Cons_

### ✓ What employees love

-   ✓Technically exceptional peers recruited from competitive programming and top ML labs
-   ✓Genuinely hard infrastructure problems — most companies buy this off the shelf
-   ✓High individual ownership and visible impact at small headcount
-   ✓Strong product reputation in the AI/ML community with major customers like Meta
-   ✓Meaningful equity at a multi-billion-dollar valuation with strong growth trajectory

### ✗ What could be better

-   ✗Management style described as demanding — some reviews cite walking on eggshells
-   ✗Culture still maturing at 3.1/5 — low for a startup that relies on retention
-   ✗Work-life balance concerns (3.2/5) — intensity is non-negotiable
-   ✗Only 43% recommend to a friend — product roadmap described as opaque and fast-changing

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Rust Python gRPC CUDA RDMA

#### Built From Scratch

Custom container runtime, FUSE-based lazy-loading filesystem, custom scheduler, memory snapshotting, and HTTP/WebSocket stack — all in Rust. No Kubernetes or Docker dependency.

#### Notable Projects

GPU memory snapshots (10x faster startup), multi-node RDMA GPU clusters, AI agent sandboxes, and Meta Code deployment. [Read the blog →](https://modal.com/blog?ref=jobsbyculture.com)

#### Team Structure

~118 person team with offices in SF, NYC, and Stockholm. Engineers design products for engineers. Customers include Meta, Scale AI, Ramp, Suno, and Lovable.

Open Positions

## Join the _Modal_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=modal)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ The $700B AI Infrastructure Boom: What It Means for Engineers in 2026](https://jobsbyculture.com/blog/ai-infrastructure-spending-boom-2026)
-   [→ Meta Cuts 8,000 Jobs, Intuit Cuts 3,000: The AI Layoff Paradox of May 2026](https://jobsbyculture.com/blog/ai-layoffs-may-2026-meta-intuit-who-is-hiring)
-   [→ $300B in Q1 2026: The AI Funding Boom & What It Means for Job Seekers](https://jobsbyculture.com/blog/ai-startup-funding-hiring-2026)

### Compare Modal

-   [→ Modal vs Abridge](https://jobsbyculture.com/compare/abridge-vs-modal)
-   [→ Modal vs Adyen](https://jobsbyculture.com/compare/adyen-vs-modal)
-   [→ Modal vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-modal)
-   [→ Modal vs Airtable](https://jobsbyculture.com/compare/airtable-vs-modal)
-   [→ Modal vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-modal)
-   [→ Modal vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-modal)
-   [→ Modal vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-modal)
-   [→ Modal vs Asana](https://jobsbyculture.com/compare/asana-vs-modal)
-   [→ Modal vs Baseten](https://jobsbyculture.com/compare/baseten-vs-modal)
-   [→ Modal vs Brex](https://jobsbyculture.com/compare/brex-vs-modal)
-   [→ Modal vs Celonis](https://jobsbyculture.com/compare/celonis-vs-modal)
-   [→ Modal vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-modal)
-   [→ Modal vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-modal)
-   [→ Modal vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-modal)
-   [→ Modal vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-modal)
-   [→ Modal vs Cohere](https://jobsbyculture.com/compare/cohere-vs-modal)
-   [→ Modal vs Contentful](https://jobsbyculture.com/compare/contentful-vs-modal)
-   [→ Modal vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-modal)
-   [→ Modal vs Cresta](https://jobsbyculture.com/compare/cresta-vs-modal)
-   [→ Modal vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-modal)
-   [→ Modal vs Cursor](https://jobsbyculture.com/compare/cursor-vs-modal)
-   [→ Modal vs Databricks](https://jobsbyculture.com/compare/databricks-vs-modal)
-   [→ Modal vs Datadog](https://jobsbyculture.com/compare/datadog-vs-modal)
-   [→ Modal vs Decagon](https://jobsbyculture.com/compare/decagon-vs-modal)
-   [→ Modal vs DeepL](https://jobsbyculture.com/compare/deepl-vs-modal)
-   [→ Modal vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-modal)
-   [→ Modal vs Descript](https://jobsbyculture.com/compare/descript-vs-modal)
-   [→ Modal vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-modal)
-   [→ Modal vs Elastic](https://jobsbyculture.com/compare/elastic-vs-modal)
-   [→ Modal vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-modal)
-   [→ Modal vs Figma](https://jobsbyculture.com/compare/figma-vs-modal)
-   [→ Modal vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-modal)
-   [→ Modal vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-modal)
-   [→ Modal vs Glean](https://jobsbyculture.com/compare/glean-vs-modal)
-   [→ Modal vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-modal)
-   [→ Modal vs Granola](https://jobsbyculture.com/compare/granola-vs-modal)
-   [→ Modal vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-modal)
-   [→ Modal vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-modal)
-   [→ Modal vs Helsing](https://jobsbyculture.com/compare/helsing-vs-modal)
-   [→ Modal vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-modal)
-   [→ Modal vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-modal)
-   [→ Modal vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-modal)
-   [→ Modal vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-modal)
-   [→ Modal vs Lambda](https://jobsbyculture.com/compare/lambda-vs-modal)
-   [→ Modal vs LangChain](https://jobsbyculture.com/compare/langchain-vs-modal)
-   [→ Modal vs Linear](https://jobsbyculture.com/compare/linear-vs-modal)
-   [→ Modal vs Lovable](https://jobsbyculture.com/compare/lovable-vs-modal)
-   [→ Modal vs Mercor](https://jobsbyculture.com/compare/mercor-vs-modal)
-   [→ Modal vs Mercury](https://jobsbyculture.com/compare/mercury-vs-modal)
-   [→ Modal vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-modal)
-   [→ Modal vs MongoDB](https://jobsbyculture.com/compare/modal-vs-mongodb)
-   [→ Modal vs n8n](https://jobsbyculture.com/compare/modal-vs-n8n)
-   [→ Modal vs Navan](https://jobsbyculture.com/compare/modal-vs-navan)
-   [→ Modal vs Notion](https://jobsbyculture.com/compare/modal-vs-notion)
-   [→ Modal vs OpenAI](https://jobsbyculture.com/compare/modal-vs-openai)
-   [→ Modal vs Perplexity AI](https://jobsbyculture.com/compare/modal-vs-perplexity)
-   [→ Modal vs Pinecone](https://jobsbyculture.com/compare/modal-vs-pinecone)
-   [→ Modal vs Plaid](https://jobsbyculture.com/compare/modal-vs-plaid)
-   [→ Modal vs Poolside AI](https://jobsbyculture.com/compare/modal-vs-poolside)
-   [→ Modal vs PostHog](https://jobsbyculture.com/compare/modal-vs-posthog)
-   [→ Modal vs Pylon](https://jobsbyculture.com/compare/modal-vs-pylon)
-   [→ Modal vs Ramp](https://jobsbyculture.com/compare/modal-vs-ramp)
-   [→ Modal vs Replit](https://jobsbyculture.com/compare/modal-vs-replit)
-   [→ Modal vs Runway](https://jobsbyculture.com/compare/modal-vs-runway)
-   [→ Modal vs Samsara](https://jobsbyculture.com/compare/modal-vs-samsara)
-   [→ Modal vs Scale AI](https://jobsbyculture.com/compare/modal-vs-scale)
-   [→ Modal vs Sierra AI](https://jobsbyculture.com/compare/modal-vs-sierra)
-   [→ Modal vs Snowflake](https://jobsbyculture.com/compare/modal-vs-snowflake)
-   [→ Modal vs Stripe](https://jobsbyculture.com/compare/modal-vs-stripe)
-   [→ Modal vs Suno](https://jobsbyculture.com/compare/modal-vs-suno)
-   [→ Modal vs Supabase](https://jobsbyculture.com/compare/modal-vs-supabase)
-   [→ Modal vs Synthesia](https://jobsbyculture.com/compare/modal-vs-synthesia)
-   [→ Modal vs Tailscale](https://jobsbyculture.com/compare/modal-vs-tailscale)
-   [→ Modal vs Together AI](https://jobsbyculture.com/compare/modal-vs-together)
-   [→ Modal vs Twilio](https://jobsbyculture.com/compare/modal-vs-twilio)
-   [→ Modal vs Vanta](https://jobsbyculture.com/compare/modal-vs-vanta)
-   [→ Modal vs Vast AI](https://jobsbyculture.com/compare/modal-vs-vast)
-   [→ Modal vs Vercel](https://jobsbyculture.com/compare/modal-vs-vercel)
-   [→ Modal vs Wayve](https://jobsbyculture.com/compare/modal-vs-wayve)
-   [→ Modal vs Weaviate](https://jobsbyculture.com/compare/modal-vs-weaviate)
-   [→ Modal vs Webflow](https://jobsbyculture.com/compare/modal-vs-webflow)
-   [→ Modal vs Writer](https://jobsbyculture.com/compare/modal-vs-writer)



🏢

### Claim _Modal_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

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### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: MongoDB Glassdoor, Culture & Careers 2026 | JobsByCulture

# MongoDB Glassdoor, Culture & Careers 2026 | JobsByCulture

> MongoDB company profile: 4.0 Glassdoor, ~5,500 employees, publicly traded (MDB). Developer data platform behind the most popular NoSQL database. Culture reviews, work-life balance, and open careers.

Source: https://jobsbyculture.com/companies/mongodb
Markdown: https://jobsbyculture.com/companies/mongodb.md
Last updated: 2026-07-14

---
![MongoDB logo](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

# MongoDB

Developer Data Platform — The Company Behind the World's Most Popular NoSQL Database

The consensus on MongoDB: World-class enablement and training with a strong engineering culture building the most widely-used NoSQL database. Competitive compensation with solid equity, though at scale some politics and management challenges have emerged.

2007

Founded

New York

Headquarters

~5,500

Employees

MDB

Public (NASDAQ)

Free Work at MongoDB? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at MongoDB

MongoDB has built a strong engineering culture around one of the most impactful open-source projects in the database world. Engineers work on massive distributed systems challenges — global replication, sharding, and the document model that millions of developers rely on daily. The company invests heavily in enablement and training, consistently praised as best-in-class by employees. Compensation is competitive with solid equity packages as a publicly traded company. With a global presence spanning NYC, Dublin, and offices worldwide, MongoDB offers flexible hybrid work. However, at ~5,500 employees, the culture has gotten more political at scale, team-switching can be disruptive, and work-life balance varies significantly by team and manager.

[Open-Source](https://jobsbyculture.com/values/open-source) [Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Learning & Growth](https://jobsbyculture.com/values/learning) [Strong Equity](https://jobsbyculture.com/values/equity) [Product-Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## MongoDB Glassdoor Ratings & _Employee Reviews_

4.0

Overall Glassdoor Score

Based on 2,509 reviews

Culture & Values 3.9

Work-Life Balance 3.8

Compensation & Benefits 3.7

Career Opportunities 3.9

Senior Management 3.5

Overall Rating 4.0

79% Recommend to a Friend

Employee Review Themes

## Working at MongoDB: _Pros & Cons_

### ✓ What employees love

-   ✓ Best-in-class enablement and training — world-class onboarding and continuous learning programs
-   ✓ Strong engineering culture with deep technical depth — engineers work on genuinely hard distributed systems problems
-   ✓ Competitive compensation with solid equity as a publicly traded company (MDB)
-   ✓ Global presence with flexible hybrid work across NYC, Dublin, and offices worldwide

### ✗ What could be better

-   ✗ No 401(k) match — a notable gap for a company of this size and profitability
-   ✗ Culture has gotten more political at scale — navigating internal dynamics takes more energy
-   ✗ Team-switching and reorgs happen — can be disruptive to momentum and relationships
-   ✗ Work-life balance varies significantly by team and manager — some teams run hot

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

C++ Go JavaScript Python

#### Product

MongoDB Atlas and the document database used by millions of developers worldwide. The developer data platform powers modern applications with flexible schemas, horizontal scaling, and a rich query language.

#### Engineering Scale

Massive distributed systems engineering — global replication, sharding, consensus protocols, and storage engine optimization. One of the most complex database systems in production today. [See open roles →](https://mongodb.com/careers?ref=jobsbyculture.com)

#### Team Structure

Large distributed engineering organization spanning NYC, Dublin, and global offices. Teams are organized around product areas including Atlas, Server, Drivers, and developer tools with deep specialization.

Open Positions

## Join the _MongoDB_ team

Explore open roles at MongoDB below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=mongodb)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Layoffs 2026: 61,000+ Jobs Cut — Who's Actually Hiring](https://jobsbyculture.com/blog/ai-layoffs-2026-who-is-hiring)
-   [→ Building a Career in Developer Tools in 2026: Why DevTools Is Where the Best Engineers Go](https://jobsbyculture.com/blog/building-career-in-devtools-2026)
-   [→ Cloudflare Compensation in 2026: Engineer Salary, RSUs & Total Comp by Level](https://jobsbyculture.com/blog/cloudflare-compensation-2026)
-   [→ Databricks Number of Employees 2026: How Many People Work at Databricks?](https://jobsbyculture.com/blog/databricks-employee-count-2026)
-   [→ Engineering Retention Strategies That Actually Work in 2026 (Honest Playbook)](https://jobsbyculture.com/blog/engineering-retention-strategies-2026)

### Compare MongoDB

-   [→ MongoDB vs Abridge](https://jobsbyculture.com/compare/abridge-vs-mongodb)
-   [→ MongoDB vs Adyen](https://jobsbyculture.com/compare/adyen-vs-mongodb)
-   [→ MongoDB vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-mongodb)
-   [→ MongoDB vs Airtable](https://jobsbyculture.com/compare/airtable-vs-mongodb)
-   [→ MongoDB vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-mongodb)
-   [→ MongoDB vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-mongodb)
-   [→ MongoDB vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-mongodb)
-   [→ MongoDB vs Asana](https://jobsbyculture.com/compare/asana-vs-mongodb)
-   [→ MongoDB vs Baseten](https://jobsbyculture.com/compare/baseten-vs-mongodb)
-   [→ MongoDB vs Brex](https://jobsbyculture.com/compare/brex-vs-mongodb)
-   [→ MongoDB vs Celonis](https://jobsbyculture.com/compare/celonis-vs-mongodb)
-   [→ MongoDB vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-mongodb)
-   [→ MongoDB vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-mongodb)
-   [→ MongoDB vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-mongodb)
-   [→ MongoDB vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-mongodb)
-   [→ MongoDB vs Cohere](https://jobsbyculture.com/compare/cohere-vs-mongodb)
-   [→ MongoDB vs Contentful](https://jobsbyculture.com/compare/contentful-vs-mongodb)
-   [→ MongoDB vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-mongodb)
-   [→ MongoDB vs Cresta](https://jobsbyculture.com/compare/cresta-vs-mongodb)
-   [→ MongoDB vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-mongodb)
-   [→ MongoDB vs Cursor](https://jobsbyculture.com/compare/cursor-vs-mongodb)
-   [→ MongoDB vs Databricks](https://jobsbyculture.com/compare/databricks-vs-mongodb)
-   [→ MongoDB vs Datadog](https://jobsbyculture.com/compare/datadog-vs-mongodb)
-   [→ MongoDB vs Decagon](https://jobsbyculture.com/compare/decagon-vs-mongodb)
-   [→ MongoDB vs DeepL](https://jobsbyculture.com/compare/deepl-vs-mongodb)
-   [→ MongoDB vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-mongodb)
-   [→ MongoDB vs Descript](https://jobsbyculture.com/compare/descript-vs-mongodb)
-   [→ MongoDB vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-mongodb)
-   [→ MongoDB vs Elastic](https://jobsbyculture.com/compare/elastic-vs-mongodb)
-   [→ MongoDB vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-mongodb)
-   [→ MongoDB vs Figma](https://jobsbyculture.com/compare/figma-vs-mongodb)
-   [→ MongoDB vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-mongodb)
-   [→ MongoDB vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-mongodb)
-   [→ MongoDB vs Glean](https://jobsbyculture.com/compare/glean-vs-mongodb)
-   [→ MongoDB vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-mongodb)
-   [→ MongoDB vs Granola](https://jobsbyculture.com/compare/granola-vs-mongodb)
-   [→ MongoDB vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-mongodb)
-   [→ MongoDB vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-mongodb)
-   [→ MongoDB vs Helsing](https://jobsbyculture.com/compare/helsing-vs-mongodb)
-   [→ MongoDB vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-mongodb)
-   [→ MongoDB vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-mongodb)
-   [→ MongoDB vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-mongodb)
-   [→ MongoDB vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-mongodb)
-   [→ MongoDB vs Lambda](https://jobsbyculture.com/compare/lambda-vs-mongodb)
-   [→ MongoDB vs LangChain](https://jobsbyculture.com/compare/langchain-vs-mongodb)
-   [→ MongoDB vs Linear](https://jobsbyculture.com/compare/linear-vs-mongodb)
-   [→ MongoDB vs Lovable](https://jobsbyculture.com/compare/lovable-vs-mongodb)
-   [→ MongoDB vs Mercor](https://jobsbyculture.com/compare/mercor-vs-mongodb)
-   [→ MongoDB vs Mercury](https://jobsbyculture.com/compare/mercury-vs-mongodb)
-   [→ MongoDB vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-mongodb)
-   [→ MongoDB vs Modal](https://jobsbyculture.com/compare/modal-vs-mongodb)
-   [→ MongoDB vs n8n](https://jobsbyculture.com/compare/mongodb-vs-n8n)
-   [→ MongoDB vs Navan](https://jobsbyculture.com/compare/mongodb-vs-navan)
-   [→ MongoDB vs Notion](https://jobsbyculture.com/compare/mongodb-vs-notion)
-   [→ MongoDB vs OpenAI](https://jobsbyculture.com/compare/mongodb-vs-openai)
-   [→ MongoDB vs Perplexity AI](https://jobsbyculture.com/compare/mongodb-vs-perplexity)
-   [→ MongoDB vs Pinecone](https://jobsbyculture.com/compare/mongodb-vs-pinecone)
-   [→ MongoDB vs Plaid](https://jobsbyculture.com/compare/mongodb-vs-plaid)
-   [→ MongoDB vs Poolside AI](https://jobsbyculture.com/compare/mongodb-vs-poolside)
-   [→ MongoDB vs PostHog](https://jobsbyculture.com/compare/mongodb-vs-posthog)
-   [→ MongoDB vs Pylon](https://jobsbyculture.com/compare/mongodb-vs-pylon)
-   [→ MongoDB vs Ramp](https://jobsbyculture.com/compare/mongodb-vs-ramp)
-   [→ MongoDB vs Replit](https://jobsbyculture.com/compare/mongodb-vs-replit)
-   [→ MongoDB vs Runway](https://jobsbyculture.com/compare/mongodb-vs-runway)
-   [→ MongoDB vs Samsara](https://jobsbyculture.com/compare/mongodb-vs-samsara)
-   [→ MongoDB vs Scale AI](https://jobsbyculture.com/compare/mongodb-vs-scale)
-   [→ MongoDB vs Sierra AI](https://jobsbyculture.com/compare/mongodb-vs-sierra)
-   [→ MongoDB vs Snowflake](https://jobsbyculture.com/compare/mongodb-vs-snowflake)
-   [→ MongoDB vs Stripe](https://jobsbyculture.com/compare/mongodb-vs-stripe)
-   [→ MongoDB vs Suno](https://jobsbyculture.com/compare/mongodb-vs-suno)
-   [→ MongoDB vs Supabase](https://jobsbyculture.com/compare/mongodb-vs-supabase)
-   [→ MongoDB vs Synthesia](https://jobsbyculture.com/compare/mongodb-vs-synthesia)
-   [→ MongoDB vs Tailscale](https://jobsbyculture.com/compare/mongodb-vs-tailscale)
-   [→ MongoDB vs Together AI](https://jobsbyculture.com/compare/mongodb-vs-together)
-   [→ MongoDB vs Twilio](https://jobsbyculture.com/compare/mongodb-vs-twilio)
-   [→ MongoDB vs Vanta](https://jobsbyculture.com/compare/mongodb-vs-vanta)
-   [→ MongoDB vs Vast AI](https://jobsbyculture.com/compare/mongodb-vs-vast)
-   [→ MongoDB vs Vercel](https://jobsbyculture.com/compare/mongodb-vs-vercel)
-   [→ MongoDB vs Wayve](https://jobsbyculture.com/compare/mongodb-vs-wayve)
-   [→ MongoDB vs Weaviate](https://jobsbyculture.com/compare/mongodb-vs-weaviate)
-   [→ MongoDB vs Webflow](https://jobsbyculture.com/compare/mongodb-vs-webflow)
-   [→ MongoDB vs Writer](https://jobsbyculture.com/compare/mongodb-vs-writer)



🏢

### Claim _MongoDB_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: n8n Culture & Jobs | JobsByCulture

# n8n Culture & Jobs | JobsByCulture

> n8n engineering culture: 4.5 Glassdoor, 4.0 WLB, open-source workflow automation. Sequoia-backed, $40M ARR. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/n8n
Markdown: https://jobsbyculture.com/companies/n8n.md
Last updated: 2026-07-14

---
![n8n logo](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

# n8n

Open-Source Workflow Automation — Fair-Code, Sequoia-Backed, $40M ARR

The consensus on n8n: Exceptional remote-first culture with high trust, flat hierarchy, and genuine autonomy — though hypergrowth brings shifting priorities and startup intensity that aren't for everyone.

2019

Founded

Berlin

HQ (Remote-First)

300+

Employees

$40M

ARR

Free Work at n8n? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at n8n

n8n is a Berlin-founded, remote-first open-source workflow automation platform backed by Sequoia Capital (earlier rounds) and Accel (Series C). The company operates on a fair-code model and has grown to $40M ARR with a rapidly scaling team. The culture is genuinely flat and transparent, with async-first communication and real autonomy. Employees describe high trust, minimal bureaucracy, and the excitement of building a fast-growing OSS product — though the pace of hypergrowth means priorities can shift quickly.

[Remote](https://jobsbyculture.com/values/remote) [Open Source](https://jobsbyculture.com/values/open-source) [Flat Hierarchy](https://jobsbyculture.com/values/flat) [Transparent](https://jobsbyculture.com/values/transparent) [Async](https://jobsbyculture.com/values/async) [Many Hats](https://jobsbyculture.com/values/many-hats)

Glassdoor Ratings

## n8n Glassdoor Ratings & _Employee Reviews_

4.5

Overall Glassdoor Score

Based on employee reviews

Culture & Values 4.7

Compensation & Benefits 4.2

Senior Management 4.3

Career Opportunities 4.1

Work-Life Balance 4.0

Overall Rating 4.5

92% Recommend to a Friend

Employee Review Themes

## Working at n8n: _Pros & Cons_

### ✓ What employees love

-   ✓Exceptional remote culture with high trust and genuine autonomy
-   ✓Fast-growing open-source product with passionate community
-   ✓Flat hierarchy — transparent decision-making and async-first communication
-   ✓Many hats culture where you can have outsized impact on the product

### ✗ What could be better

-   ✗Shifting priorities in hypergrowth — strategy can change quickly
-   ✗Startup intensity — high expectations with a lean team
-   ✗Still building out formal processes as the company scales

Open Positions

## Join the _n8n_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=n8n)

Explore More

## Related _content_

### Blog Posts

-   [→ Building a Career in Developer Tools in 2026: Why DevTools Is Where the Best Engineers Go](https://jobsbyculture.com/blog/building-career-in-devtools-2026)
-   [→ Oracle Layoffs 2026: 30,000 Jobs Cut — Where to Look Next Based on Culture](https://jobsbyculture.com/blog/oracle-layoffs-2026)
-   [→ The RTO Wave Is Real: 14 Companies That Are Still Genuinely Remote in 2026](https://jobsbyculture.com/blog/remote-vs-rto-2026)
-   [→ Only 19% of AI Companies Are Genuinely Remote-First: Our Data Across 118 Companies](https://jobsbyculture.com/blog/remote-work-ai-companies-data-2026)
-   [→ RTO Mandates in 2026: What the Data Actually Shows About Return-to-Office](https://jobsbyculture.com/blog/rto-mandates-data-2026)

### Compare n8n

-   [→ n8n vs Abridge](https://jobsbyculture.com/compare/abridge-vs-n8n)
-   [→ n8n vs Adyen](https://jobsbyculture.com/compare/adyen-vs-n8n)
-   [→ n8n vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-n8n)
-   [→ n8n vs Airtable](https://jobsbyculture.com/compare/airtable-vs-n8n)
-   [→ n8n vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-n8n)
-   [→ n8n vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-n8n)
-   [→ n8n vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-n8n)
-   [→ n8n vs Asana](https://jobsbyculture.com/compare/asana-vs-n8n)
-   [→ n8n vs Baseten](https://jobsbyculture.com/compare/baseten-vs-n8n)
-   [→ n8n vs Brex](https://jobsbyculture.com/compare/brex-vs-n8n)
-   [→ n8n vs Celonis](https://jobsbyculture.com/compare/celonis-vs-n8n)
-   [→ n8n vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-n8n)
-   [→ n8n vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-n8n)
-   [→ n8n vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-n8n)
-   [→ n8n vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-n8n)
-   [→ n8n vs Cohere](https://jobsbyculture.com/compare/cohere-vs-n8n)
-   [→ n8n vs Contentful](https://jobsbyculture.com/compare/contentful-vs-n8n)
-   [→ n8n vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-n8n)
-   [→ n8n vs Cresta](https://jobsbyculture.com/compare/cresta-vs-n8n)
-   [→ n8n vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-n8n)
-   [→ n8n vs Cursor](https://jobsbyculture.com/compare/cursor-vs-n8n)
-   [→ n8n vs Databricks](https://jobsbyculture.com/compare/databricks-vs-n8n)
-   [→ n8n vs Datadog](https://jobsbyculture.com/compare/datadog-vs-n8n)
-   [→ n8n vs Decagon](https://jobsbyculture.com/compare/decagon-vs-n8n)
-   [→ n8n vs DeepL](https://jobsbyculture.com/compare/deepl-vs-n8n)
-   [→ n8n vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-n8n)
-   [→ n8n vs Descript](https://jobsbyculture.com/compare/descript-vs-n8n)
-   [→ n8n vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-n8n)
-   [→ n8n vs Elastic](https://jobsbyculture.com/compare/elastic-vs-n8n)
-   [→ n8n vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-n8n)
-   [→ n8n vs Figma](https://jobsbyculture.com/compare/figma-vs-n8n)
-   [→ n8n vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-n8n)
-   [→ n8n vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-n8n)
-   [→ n8n vs Glean](https://jobsbyculture.com/compare/glean-vs-n8n)
-   [→ n8n vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-n8n)
-   [→ n8n vs Granola](https://jobsbyculture.com/compare/granola-vs-n8n)
-   [→ n8n vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-n8n)
-   [→ n8n vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-n8n)
-   [→ n8n vs Helsing](https://jobsbyculture.com/compare/helsing-vs-n8n)
-   [→ n8n vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-n8n)
-   [→ n8n vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-n8n)
-   [→ n8n vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-n8n)
-   [→ n8n vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-n8n)
-   [→ n8n vs Lambda](https://jobsbyculture.com/compare/lambda-vs-n8n)
-   [→ n8n vs LangChain](https://jobsbyculture.com/compare/langchain-vs-n8n)
-   [→ n8n vs Linear](https://jobsbyculture.com/compare/linear-vs-n8n)
-   [→ n8n vs Lovable](https://jobsbyculture.com/compare/lovable-vs-n8n)
-   [→ n8n vs Mercor](https://jobsbyculture.com/compare/mercor-vs-n8n)
-   [→ n8n vs Mercury](https://jobsbyculture.com/compare/mercury-vs-n8n)
-   [→ n8n vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-n8n)
-   [→ n8n vs Modal](https://jobsbyculture.com/compare/modal-vs-n8n)
-   [→ n8n vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-n8n)
-   [→ n8n vs Navan](https://jobsbyculture.com/compare/n8n-vs-navan)
-   [→ n8n vs Notion](https://jobsbyculture.com/compare/n8n-vs-notion)
-   [→ n8n vs OpenAI](https://jobsbyculture.com/compare/n8n-vs-openai)
-   [→ n8n vs Perplexity AI](https://jobsbyculture.com/compare/n8n-vs-perplexity)
-   [→ n8n vs Pinecone](https://jobsbyculture.com/compare/n8n-vs-pinecone)
-   [→ n8n vs Plaid](https://jobsbyculture.com/compare/n8n-vs-plaid)
-   [→ n8n vs Poolside AI](https://jobsbyculture.com/compare/n8n-vs-poolside)
-   [→ n8n vs PostHog](https://jobsbyculture.com/compare/n8n-vs-posthog)
-   [→ n8n vs Pylon](https://jobsbyculture.com/compare/n8n-vs-pylon)
-   [→ n8n vs Ramp](https://jobsbyculture.com/compare/n8n-vs-ramp)
-   [→ n8n vs Replit](https://jobsbyculture.com/compare/n8n-vs-replit)
-   [→ n8n vs Runway](https://jobsbyculture.com/compare/n8n-vs-runway)
-   [→ n8n vs Samsara](https://jobsbyculture.com/compare/n8n-vs-samsara)
-   [→ n8n vs Scale AI](https://jobsbyculture.com/compare/n8n-vs-scale)
-   [→ n8n vs Sierra AI](https://jobsbyculture.com/compare/n8n-vs-sierra)
-   [→ n8n vs Snowflake](https://jobsbyculture.com/compare/n8n-vs-snowflake)
-   [→ n8n vs Stripe](https://jobsbyculture.com/compare/n8n-vs-stripe)
-   [→ n8n vs Suno](https://jobsbyculture.com/compare/n8n-vs-suno)
-   [→ n8n vs Supabase](https://jobsbyculture.com/compare/n8n-vs-supabase)
-   [→ n8n vs Synthesia](https://jobsbyculture.com/compare/n8n-vs-synthesia)
-   [→ n8n vs Tailscale](https://jobsbyculture.com/compare/n8n-vs-tailscale)
-   [→ n8n vs Together AI](https://jobsbyculture.com/compare/n8n-vs-together)
-   [→ n8n vs Twilio](https://jobsbyculture.com/compare/n8n-vs-twilio)
-   [→ n8n vs Vanta](https://jobsbyculture.com/compare/n8n-vs-vanta)
-   [→ n8n vs Vast AI](https://jobsbyculture.com/compare/n8n-vs-vast)
-   [→ n8n vs Vercel](https://jobsbyculture.com/compare/n8n-vs-vercel)
-   [→ n8n vs Wayve](https://jobsbyculture.com/compare/n8n-vs-wayve)
-   [→ n8n vs Weaviate](https://jobsbyculture.com/compare/n8n-vs-weaviate)
-   [→ n8n vs Webflow](https://jobsbyculture.com/compare/n8n-vs-webflow)
-   [→ n8n vs Writer](https://jobsbyculture.com/compare/n8n-vs-writer)

🏢

### Claim _n8n_

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We'll respond within 24 hours. No spam, ever.

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---

## Document: Navan Glassdoor, Culture & Careers 2026 | JobsByCulture

# Navan Glassdoor, Culture & Careers 2026 | JobsByCulture

> Navan company profile: 4.0 Glassdoor, ~3,500 employees, $120k–$350k comp. Work-life balance, culture reviews, and open careers at the AI-powered travel & expense platform.

Source: https://jobsbyculture.com/companies/navan
Markdown: https://jobsbyculture.com/companies/navan.md
Last updated: 2026-07-14

---
![Navan logo](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

# Navan

AI-Powered Corporate Travel, Expense & Card Management

The consensus on Navan: Choose Navan if you want rapid career growth at a fast-shipping public company with serious AI-powered product traction — but the intensity is real and the pace never slows.

2015

Founded

Palo Alto

Headquarters

~3,500

Employees

$700M+

Revenue (TTM)

Free Work at Navan? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Navan

Navan is what happens when a travel tech company decides to move at startup speed while operating at enterprise scale. Founded in 2015 as TripActions, the company rebranded to Navan in 2023 and went public in October 2025 — capping a decade of relentless growth that's seen it build an AI-powered platform used by thousands of companies for travel, expense, and card management.

The culture here is defined by pace. Navan ships fast, iterates constantly, and expects its people to keep up. For those who thrive on momentum, it's electric — reviews consistently praise the energy, the smart colleagues, and the genuine career growth opportunities. Managers are repeatedly cited as invested in their teams' development, which is notable at a company of 3,500+.

But that pace comes with trade-offs. Frequent org restructures, ambitious targets, and work-life balance that varies heavily by team mean Navan isn't for everyone. The reviews are polarized for a reason — some people love the intensity, others burn out. If you want a calm, predictable environment, look elsewhere. If you want to grow fast at a company with serious market traction, Navan delivers.

[Ship-Fast](https://jobsbyculture.com/values/ship-fast) [Learning & Growth](https://jobsbyculture.com/values/learning) [Product-Impact](https://jobsbyculture.com/values/product-impact) [Strong Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Navan Glassdoor Ratings & _Employee Reviews_

4.0

Overall Glassdoor Score

Based on 991 reviews

Culture & Values 3.9

Work-Life Balance 3.7

Compensation & Benefits 3.8

Career Opportunities 4.0

Senior Management 3.6

Overall Rating 4.0

75% Recommend to a Friend

Employee Review Themes

## Working at Navan: _Pros & Cons_

### ✓ What employees love

-   ✓ Strong career growth — managers genuinely invest in development
-   ✓ AI-driven product with real market traction ($700M+ revenue)
-   ✓ Collaborative environment with smart, driven colleagues
-   ✓ Public company stability with startup energy (IPO Oct 2025)

### ✗ What could be better

-   ✗ Frequent org changes require high adaptability
-   ✗ Intense workload and ambitious sales targets
-   ✗ Work-life balance varies significantly by team
-   ✗ Some reviews cite inconsistent leadership communication

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python Java React Kotlin Swift

#### Product

AI-powered corporate travel booking, expense management, and virtual card platform serving thousands of companies from startups to Fortune 500 enterprises.

#### AI & ML

AI underpins the core product — intelligent travel recommendations, automated expense categorization, fraud detection, and predictive analytics. Engineering leadership actively invests in AI tooling (Cursor, Claude, Codex, Copilot). [Explore careers →](https://navan.com/careers?ref=jobsbyculture.com)

#### Team Structure

Multiple engineering teams across Palo Alto, San Francisco, New York, and London. Fast iteration cycles with CI/CD. Engineers ship frequently and own features end-to-end despite company scale.

Culture Fit

## Who _thrives_ at Navan

### ✓ Who thrives here

-   ✓ Engineers excited about AI/ML applied to real-world travel and finance problems
-   ✓ Ambitious people who want rapid career progression
-   ✓ Those who thrive in fast-paced, high-output environments
-   ✓ People comfortable with organizational change and ambiguity

### ✗ Who might not

-   ✗ Those seeking a calm, predictable work environment
-   ✗ People who need strict work-life balance boundaries
-   ✗ Engineers looking for deep research or academic-style work

Open Positions

## Join the _Navan_ team

Explore open roles at Navan below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=navan)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Compare Navan

-   [→ Navan vs Abridge](https://jobsbyculture.com/compare/abridge-vs-navan)
-   [→ Navan vs Adyen](https://jobsbyculture.com/compare/adyen-vs-navan)
-   [→ Navan vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-navan)
-   [→ Navan vs Airtable](https://jobsbyculture.com/compare/airtable-vs-navan)
-   [→ Navan vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-navan)
-   [→ Navan vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-navan)
-   [→ Navan vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-navan)
-   [→ Navan vs Asana](https://jobsbyculture.com/compare/asana-vs-navan)
-   [→ Navan vs Baseten](https://jobsbyculture.com/compare/baseten-vs-navan)
-   [→ Navan vs Brex](https://jobsbyculture.com/compare/brex-vs-navan)
-   [→ Navan vs Celonis](https://jobsbyculture.com/compare/celonis-vs-navan)
-   [→ Navan vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-navan)
-   [→ Navan vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-navan)
-   [→ Navan vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-navan)
-   [→ Navan vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-navan)
-   [→ Navan vs Cohere](https://jobsbyculture.com/compare/cohere-vs-navan)
-   [→ Navan vs Contentful](https://jobsbyculture.com/compare/contentful-vs-navan)
-   [→ Navan vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-navan)
-   [→ Navan vs Cresta](https://jobsbyculture.com/compare/cresta-vs-navan)
-   [→ Navan vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-navan)
-   [→ Navan vs Cursor](https://jobsbyculture.com/compare/cursor-vs-navan)
-   [→ Navan vs Databricks](https://jobsbyculture.com/compare/databricks-vs-navan)
-   [→ Navan vs Datadog](https://jobsbyculture.com/compare/datadog-vs-navan)
-   [→ Navan vs Decagon](https://jobsbyculture.com/compare/decagon-vs-navan)
-   [→ Navan vs DeepL](https://jobsbyculture.com/compare/deepl-vs-navan)
-   [→ Navan vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-navan)
-   [→ Navan vs Descript](https://jobsbyculture.com/compare/descript-vs-navan)
-   [→ Navan vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-navan)
-   [→ Navan vs Elastic](https://jobsbyculture.com/compare/elastic-vs-navan)
-   [→ Navan vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-navan)
-   [→ Navan vs Figma](https://jobsbyculture.com/compare/figma-vs-navan)
-   [→ Navan vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-navan)
-   [→ Navan vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-navan)
-   [→ Navan vs Glean](https://jobsbyculture.com/compare/glean-vs-navan)
-   [→ Navan vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-navan)
-   [→ Navan vs Granola](https://jobsbyculture.com/compare/granola-vs-navan)
-   [→ Navan vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-navan)
-   [→ Navan vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-navan)
-   [→ Navan vs Helsing](https://jobsbyculture.com/compare/helsing-vs-navan)
-   [→ Navan vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-navan)
-   [→ Navan vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-navan)
-   [→ Navan vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-navan)
-   [→ Navan vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-navan)
-   [→ Navan vs Lambda](https://jobsbyculture.com/compare/lambda-vs-navan)
-   [→ Navan vs LangChain](https://jobsbyculture.com/compare/langchain-vs-navan)
-   [→ Navan vs Linear](https://jobsbyculture.com/compare/linear-vs-navan)
-   [→ Navan vs Lovable](https://jobsbyculture.com/compare/lovable-vs-navan)
-   [→ Navan vs Mercor](https://jobsbyculture.com/compare/mercor-vs-navan)
-   [→ Navan vs Mercury](https://jobsbyculture.com/compare/mercury-vs-navan)
-   [→ Navan vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-navan)
-   [→ Navan vs Modal](https://jobsbyculture.com/compare/modal-vs-navan)
-   [→ Navan vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-navan)
-   [→ Navan vs n8n](https://jobsbyculture.com/compare/n8n-vs-navan)
-   [→ Navan vs Notion](https://jobsbyculture.com/compare/navan-vs-notion)
-   [→ Navan vs OpenAI](https://jobsbyculture.com/compare/navan-vs-openai)
-   [→ Navan vs Perplexity AI](https://jobsbyculture.com/compare/navan-vs-perplexity)
-   [→ Navan vs Pinecone](https://jobsbyculture.com/compare/navan-vs-pinecone)
-   [→ Navan vs Plaid](https://jobsbyculture.com/compare/navan-vs-plaid)
-   [→ Navan vs Poolside AI](https://jobsbyculture.com/compare/navan-vs-poolside)
-   [→ Navan vs PostHog](https://jobsbyculture.com/compare/navan-vs-posthog)
-   [→ Navan vs Pylon](https://jobsbyculture.com/compare/navan-vs-pylon)
-   [→ Navan vs Ramp](https://jobsbyculture.com/compare/navan-vs-ramp)
-   [→ Navan vs Replit](https://jobsbyculture.com/compare/navan-vs-replit)
-   [→ Navan vs Runway](https://jobsbyculture.com/compare/navan-vs-runway)
-   [→ Navan vs Samsara](https://jobsbyculture.com/compare/navan-vs-samsara)
-   [→ Navan vs Scale AI](https://jobsbyculture.com/compare/navan-vs-scale)
-   [→ Navan vs Sierra AI](https://jobsbyculture.com/compare/navan-vs-sierra)
-   [→ Navan vs Snowflake](https://jobsbyculture.com/compare/navan-vs-snowflake)
-   [→ Navan vs Stripe](https://jobsbyculture.com/compare/navan-vs-stripe)
-   [→ Navan vs Suno](https://jobsbyculture.com/compare/navan-vs-suno)
-   [→ Navan vs Supabase](https://jobsbyculture.com/compare/navan-vs-supabase)
-   [→ Navan vs Synthesia](https://jobsbyculture.com/compare/navan-vs-synthesia)
-   [→ Navan vs Tailscale](https://jobsbyculture.com/compare/navan-vs-tailscale)
-   [→ Navan vs Together AI](https://jobsbyculture.com/compare/navan-vs-together)
-   [→ Navan vs Twilio](https://jobsbyculture.com/compare/navan-vs-twilio)
-   [→ Navan vs Vanta](https://jobsbyculture.com/compare/navan-vs-vanta)
-   [→ Navan vs Vast AI](https://jobsbyculture.com/compare/navan-vs-vast)
-   [→ Navan vs Vercel](https://jobsbyculture.com/compare/navan-vs-vercel)
-   [→ Navan vs Wayve](https://jobsbyculture.com/compare/navan-vs-wayve)
-   [→ Navan vs Weaviate](https://jobsbyculture.com/compare/navan-vs-weaviate)
-   [→ Navan vs Webflow](https://jobsbyculture.com/compare/navan-vs-webflow)
-   [→ Navan vs Writer](https://jobsbyculture.com/compare/navan-vs-writer)



🏢

### Claim _Navan_

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We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Notion Culture & Glassdoor Rating 2026 — Jobs & Reviews | JobsByCulture

# Notion Culture & Glassdoor Rating 2026 — Jobs & Reviews | JobsByCulture

> Notion Glassdoor rating: 4.4/5.0 with 89% recommending and 96% CEO approval. Product-first culture, transparent leadership. See open roles and detailed Glassdoor breakdown.

Source: https://jobsbyculture.com/companies/notion
Markdown: https://jobsbyculture.com/companies/notion.md
Last updated: 2026-07-14

---
![Notion logo](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

# Notion

All-in-One Workspace — Notes, Docs, Wikis, and Project Management

The consensus on Notion: Choose Notion if you want incredible product culture with transparent leadership and high trust — but expect fast pace and hybrid office requirements.

2013

Founded

San Francisco

Headquarters

~800

Employees

$11B

Valuation (2026)

Free Work at Notion? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Notion

Founded in 2013 by Ivan Zhao and Simon Last, Notion builds the all-in-one workspace used by millions. The culture is deeply product-obsessed — everyone uses Notion daily and genuinely cares about the craft. Leadership is transparent with accessible founders, and there's a high level of trust across teams. The pace is fast but thoughtful, with a strong emphasis on quality over quantity.

[Product Impact](https://jobsbyculture.com/values/product-impact) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Learning](https://jobsbyculture.com/values/learning) [Transparent](https://jobsbyculture.com/values/transparent) [Diverse](https://jobsbyculture.com/values/diverse) [Strong Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Notion Glassdoor Ratings & _Employee Reviews_

4.4

Overall Glassdoor Score

Based on 310 reviews

Culture & Values 4.4

Compensation & Benefits 4.3

Senior Management 4.0

Career Opportunities 4.1

Work-Life Balance 4.2

Overall Rating 4.4

89% Recommend to a Friend

96% CEO Approval (Ivan Zhao)

Employee Review Themes

## Working at Notion: _Pros & Cons_

### ✓ What employees love

-   ✓ Incredible product culture — everyone uses Notion daily and cares deeply
-   ✓ Transparent leadership with accessible founders and high trust
-   ✓ Strong compensation with competitive equity packages
-   ✓ Beautiful office spaces with thoughtful perks and benefits
-   ✓ Collaborative, low-ego culture where quality craft is valued

### ✗ What could be better

-   ✗ Fast pace can lead to burnout, especially during product pushes
-   ✗ Hybrid required (3 days in-office) — not truly remote-friendly
-   ✗ Growing rapidly which means some processes are still being defined
-   ✗ Can be slow to make decisions — consensus-driven culture has tradeoffs

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

TypeScript React Node.js Kotlin PostgreSQL

#### Open Source & Research

Open API with robust developer ecosystem. Published Notion SDK and actively supports community integrations. Growing AI features with built-in assistant.

#### Engineering Blog

Engineering team publishes deep dives on database architecture, real-time collaboration, and performance optimization. [Read the blog →](https://notion.so/blog/topic/engineering?ref=jobsbyculture.com)

#### Team Structure

Small, cross-functional teams with high autonomy. Product engineers own features end-to-end from design through deployment. Flat hierarchy with direct access to founders.

Open Positions

## Join the _Notion_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=notion)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Agents Are Replacing SaaS — What It Means for Tech Careers in 2026](https://jobsbyculture.com/blog/ai-agents-replacing-saas-2026)
-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Engineer Salary Guide 2026: What Companies Actually Pay by Level](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ AI Jobs in Paris 2026: 170 Roles at Mistral, Datadog, Hugging Face & 10 More Companies](https://jobsbyculture.com/blog/ai-jobs-paris-2026)

### Compare Notion

-   [→ Notion vs Abridge](https://jobsbyculture.com/compare/abridge-vs-notion)
-   [→ Notion vs Adyen](https://jobsbyculture.com/compare/adyen-vs-notion)
-   [→ Notion vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-notion)
-   [→ Notion vs Airtable](https://jobsbyculture.com/compare/airtable-vs-notion)
-   [→ Notion vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-notion)
-   [→ Notion vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-notion)
-   [→ Notion vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-notion)
-   [→ Notion vs Asana](https://jobsbyculture.com/compare/asana-vs-notion)
-   [→ Notion vs Baseten](https://jobsbyculture.com/compare/baseten-vs-notion)
-   [→ Notion vs Brex](https://jobsbyculture.com/compare/brex-vs-notion)
-   [→ Notion vs Celonis](https://jobsbyculture.com/compare/celonis-vs-notion)
-   [→ Notion vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-notion)
-   [→ Notion vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-notion)
-   [→ Notion vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-notion)
-   [→ Notion vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-notion)
-   [→ Notion vs Cohere](https://jobsbyculture.com/compare/cohere-vs-notion)
-   [→ Notion vs Contentful](https://jobsbyculture.com/compare/contentful-vs-notion)
-   [→ Notion vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-notion)
-   [→ Notion vs Cresta](https://jobsbyculture.com/compare/cresta-vs-notion)
-   [→ Notion vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-notion)
-   [→ Notion vs Cursor](https://jobsbyculture.com/compare/cursor-vs-notion)
-   [→ Notion vs Databricks](https://jobsbyculture.com/compare/databricks-vs-notion)
-   [→ Notion vs Datadog](https://jobsbyculture.com/compare/datadog-vs-notion)
-   [→ Notion vs Decagon](https://jobsbyculture.com/compare/decagon-vs-notion)
-   [→ Notion vs DeepL](https://jobsbyculture.com/compare/deepl-vs-notion)
-   [→ Notion vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-notion)
-   [→ Notion vs Descript](https://jobsbyculture.com/compare/descript-vs-notion)
-   [→ Notion vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-notion)
-   [→ Notion vs Elastic](https://jobsbyculture.com/compare/elastic-vs-notion)
-   [→ Notion vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-notion)
-   [→ Notion vs Figma](https://jobsbyculture.com/compare/figma-vs-notion)
-   [→ Notion vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-notion)
-   [→ Notion vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-notion)
-   [→ Notion vs Glean](https://jobsbyculture.com/compare/glean-vs-notion)
-   [→ Notion vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-notion)
-   [→ Notion vs Granola](https://jobsbyculture.com/compare/granola-vs-notion)
-   [→ Notion vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-notion)
-   [→ Notion vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-notion)
-   [→ Notion vs Helsing](https://jobsbyculture.com/compare/helsing-vs-notion)
-   [→ Notion vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-notion)
-   [→ Notion vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-notion)
-   [→ Notion vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-notion)
-   [→ Notion vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-notion)
-   [→ Notion vs Lambda](https://jobsbyculture.com/compare/lambda-vs-notion)
-   [→ Notion vs LangChain](https://jobsbyculture.com/compare/langchain-vs-notion)
-   [→ Notion vs Linear](https://jobsbyculture.com/compare/linear-vs-notion)
-   [→ Notion vs Lovable](https://jobsbyculture.com/compare/lovable-vs-notion)
-   [→ Notion vs Mercor](https://jobsbyculture.com/compare/mercor-vs-notion)
-   [→ Notion vs Mercury](https://jobsbyculture.com/compare/mercury-vs-notion)
-   [→ Notion vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-notion)
-   [→ Notion vs Modal](https://jobsbyculture.com/compare/modal-vs-notion)
-   [→ Notion vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-notion)
-   [→ Notion vs n8n](https://jobsbyculture.com/compare/n8n-vs-notion)
-   [→ Notion vs Navan](https://jobsbyculture.com/compare/navan-vs-notion)
-   [→ Notion vs OpenAI](https://jobsbyculture.com/compare/notion-vs-openai)
-   [→ Notion vs Perplexity AI](https://jobsbyculture.com/compare/notion-vs-perplexity)
-   [→ Notion vs Pinecone](https://jobsbyculture.com/compare/notion-vs-pinecone)
-   [→ Notion vs Plaid](https://jobsbyculture.com/compare/notion-vs-plaid)
-   [→ Notion vs Poolside AI](https://jobsbyculture.com/compare/notion-vs-poolside)
-   [→ Notion vs PostHog](https://jobsbyculture.com/compare/notion-vs-posthog)
-   [→ Notion vs Pylon](https://jobsbyculture.com/compare/notion-vs-pylon)
-   [→ Notion vs Ramp](https://jobsbyculture.com/compare/notion-vs-ramp)
-   [→ Notion vs Replit](https://jobsbyculture.com/compare/notion-vs-replit)
-   [→ Notion vs Runway](https://jobsbyculture.com/compare/notion-vs-runway)
-   [→ Notion vs Samsara](https://jobsbyculture.com/compare/notion-vs-samsara)
-   [→ Notion vs Scale AI](https://jobsbyculture.com/compare/notion-vs-scale)
-   [→ Notion vs Sierra AI](https://jobsbyculture.com/compare/notion-vs-sierra)
-   [→ Notion vs Snowflake](https://jobsbyculture.com/compare/notion-vs-snowflake)
-   [→ Notion vs Stripe](https://jobsbyculture.com/compare/notion-vs-stripe)
-   [→ Notion vs Suno](https://jobsbyculture.com/compare/notion-vs-suno)
-   [→ Notion vs Supabase](https://jobsbyculture.com/compare/notion-vs-supabase)
-   [→ Notion vs Synthesia](https://jobsbyculture.com/compare/notion-vs-synthesia)
-   [→ Notion vs Tailscale](https://jobsbyculture.com/compare/notion-vs-tailscale)
-   [→ Notion vs Together AI](https://jobsbyculture.com/compare/notion-vs-together)
-   [→ Notion vs Twilio](https://jobsbyculture.com/compare/notion-vs-twilio)
-   [→ Notion vs Vanta](https://jobsbyculture.com/compare/notion-vs-vanta)
-   [→ Notion vs Vast AI](https://jobsbyculture.com/compare/notion-vs-vast)
-   [→ Notion vs Vercel](https://jobsbyculture.com/compare/notion-vs-vercel)
-   [→ Notion vs Wayve](https://jobsbyculture.com/compare/notion-vs-wayve)
-   [→ Notion vs Weaviate](https://jobsbyculture.com/compare/notion-vs-weaviate)
-   [→ Notion vs Webflow](https://jobsbyculture.com/compare/notion-vs-webflow)
-   [→ Notion vs Writer](https://jobsbyculture.com/compare/notion-vs-writer)



🏢

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## Document: Okta Glassdoor, Culture & Careers 2026 | JobsByCulture

# Okta Glassdoor, Culture & Careers 2026 | JobsByCulture

> Okta company profile: 3.7 Glassdoor, ~6,000 employees, $140k–$320k comp. Work-life balance, Dynamic Work policy, culture reviews, and 370+ open careers at the identity leader.

Source: https://jobsbyculture.com/companies/okta
Markdown: https://jobsbyculture.com/companies/okta.md
Last updated: 2026-07-14

---
![Okta logo](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

# Okta

The Identity Platform Securing Every Connection

The consensus on Okta: Genuinely flexible Dynamic Work policy, solid comp, and mission-driven security work — but culture varies by team, and recent layoffs have rattled some employees. Ask about your specific org during interviews.

2009

Founded

San Francisco

Headquarters

~6,000

Employees

NASDAQ: OKTA

Public Since 2017

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Culture Overview

## What it's _really_ like to work at Okta

Founded in 2009 by Todd McKinnon and Frederic Kerrest, Okta built the identity platform that secures logins for over 19,000 organizations worldwide. The company's "Dynamic Work" policy is one of its strongest cultural signals — employees set their own schedules and locations based on role and preference, with no mandatory office days. Compensation is competitive (rated 4.0/5), and work-life balance is solid with initiatives like no-meeting Fridays. The identity and security mission gives engineers meaningful work protecting billions of authentication events. The challenge: at ~6,000 employees, culture varies across departments, and 2026 layoffs have dented confidence in stability.

[Learning & Growth](https://jobsbyculture.com/values/learning) [Strong Equity](https://jobsbyculture.com/values/equity) [Product Impact](https://jobsbyculture.com/values/product-impact) [Diverse](https://jobsbyculture.com/values/diverse)

Glassdoor Ratings

## Okta Glassdoor Ratings & _Employee Reviews_

3.7

Overall Glassdoor Score

Based on 1,637 reviews

Culture & Values 3.7

Work-Life Balance 3.8

Compensation & Benefits 4.0

Career Opportunities 3.4

Overall Rating 3.7

66% Recommend to a Friend

62% Positive Business Outlook

Employee Review Themes

## Working at Okta: _Pros & Cons_

### ✓ What employees love

-   ✓Dynamic Work policy — genuinely flexible schedules with no mandatory office days
-   ✓Strong compensation and benefits rated 4.0/5, including stock options and learning perks
-   ✓Meaningful security mission — building infrastructure that protects billions of logins
-   ✓No-meeting Fridays and genuine respect for work-life balance (3.8/5)

### ✗ What could be better

-   ✗Recent layoffs in 2026 have damaged trust and job security perception
-   ✗Career opportunities rated 3.4/5 — growth paths can be unclear at this scale
-   ✗Culture varies significantly across departments — some teams are great, others struggle
-   ✗Large company bureaucracy can slow down decision-making compared to startups

Engineering Culture

## How the _engineering_ team works

#### Core Platform

Java Go React AWS Kubernetes

#### Product

Identity and access management platform handling billions of authentication events. Workforce Identity, Customer Identity, and Privileged Access products serving 19,000+ organizations globally.

#### Security & Scale

Engineers work on zero-trust architecture, threat detection, and identity governance at massive scale. Every feature ships to production protecting real organizations from breaches.

#### Team Structure

~6,000 employees across 15 countries. Engineering teams organized by product area with dedicated SRE, security, and platform teams. Dynamic Work enables distributed collaboration.

Open Positions

## Join the _Okta_ team

Explore open roles at Okta below.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=okta)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ AI Layoffs 2026: 61,000+ Jobs Cut — Who's Actually Hiring](https://jobsbyculture.com/blog/ai-layoffs-2026-who-is-hiring)



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---

## Document: OpenAI Culture & Jobs | JobsByCulture

# OpenAI Culture & Jobs | JobsByCulture

> OpenAI engineering culture: 4.1 Glassdoor, frontier AI research, 74% recommend. See 720 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/openai
Markdown: https://jobsbyculture.com/companies/openai.md
Last updated: 2026-07-14

---
![OpenAI logo](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

# OpenAI

Frontier AI Research Lab — Building Safe Artificial General Intelligence

The consensus on OpenAI: Choose OpenAI if you want to work at the frontier of AI with world-class colleagues and elite comp — but expect intense hours and rapid org changes.

2015

Founded

San Francisco

Headquarters

~8,000

Employees (2026 target)

$852B

Valuation (2026)

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Culture Overview

## What it's _really_ like to work at OpenAI

Founded in 2015 by Sam Altman, Greg Brockman, and others, OpenAI is the company behind GPT-4, ChatGPT, and DALL-E. The culture is intensely mission-driven with a focus on building safe AGI. Engineers work on cutting-edge research with massive compute budgets. Expect world-class colleagues, elite compensation, and an environment that moves at breakneck speed.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Learning](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact) [Strong Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## OpenAI Glassdoor Ratings & _Employee Reviews_

4.1

Overall Glassdoor Score

Based on 94 reviews

Culture & Values 3.7

Compensation & Benefits 4.6

Career Opportunities 4.1

Work-Life Balance 3.2

Overall Rating 4.1

74% Recommend to a Friend

~75% CEO Approval (Sam Altman)

Employee Review Themes

## Working at OpenAI: _Pros & Cons_

### ✓ What employees love

-   ✓ Cutting-edge frontier AI research with world-class colleagues
-   ✓ Elite compensation — top-tier TC and equity packages
-   ✓ Massive compute budgets — resources to pursue ambitious research
-   ✓ Direct impact on products used by hundreds of millions
-   ✓ Incredible learning environment — surrounded by the best in AI

### ✗ What could be better

-   ✗ High-intensity environment — long hours and intense pace are the norm
-   ✗ Internal politics and rapid org changes as the company scales
-   ✗ Management quality varies — some teams lack clear direction
-   ✗ Work-life balance is poor — 3.2/5 rating reflects real burnout risk

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python PyTorch Kubernetes Rust C++

#### Open Source & Research

Created GPT models, Whisper, CLIP, and Triton. Active open-source contributor despite some research being proprietary.

#### Engineering Blog

Publishes research papers on arxiv and maintains an active research blog covering scaling laws, alignment, and safety. [Read the research →](https://openai.com/research?ref=jobsbyculture.com)

#### Team Structure

Research-lab meets product org. Small, autonomous teams with high ownership. Engineers are expected to be self-directed and ship rapidly.

Open Positions

## Join the _OpenAI_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=openai)

Explore More

## Related _content_

### Blog Posts

-   [→ Agentic AI Jobs Grew 280% in 2026 — The Roles, Salaries & Companies Hiring Now](https://jobsbyculture.com/blog/agentic-ai-hiring-boom-2026)
-   [→ AI Agent Memory Systems: A 2026 Engineering Guide (Letta, LangMem, Mem0, Zep)](https://jobsbyculture.com/blog/ai-agent-memory-systems-guide-2026)
-   [→ AI Agents Are Replacing SaaS — What It Means for Tech Careers in 2026](https://jobsbyculture.com/blog/ai-agents-replacing-saas-2026)
-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Cost Optimization Guide 2026: How to Cut Your LLM Bill 60-90% Without Hurting Quality](https://jobsbyculture.com/blog/ai-cost-optimization-guide-2026)

### Compare OpenAI

-   [→ OpenAI vs Abridge](https://jobsbyculture.com/compare/abridge-vs-openai)
-   [→ OpenAI vs Adyen](https://jobsbyculture.com/compare/adyen-vs-openai)
-   [→ OpenAI vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-openai)
-   [→ OpenAI vs Airtable](https://jobsbyculture.com/compare/airtable-vs-openai)
-   [→ OpenAI vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-openai)
-   [→ OpenAI vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-openai)
-   [→ OpenAI vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-openai)
-   [→ OpenAI vs Asana](https://jobsbyculture.com/compare/asana-vs-openai)
-   [→ OpenAI vs Baseten](https://jobsbyculture.com/compare/baseten-vs-openai)
-   [→ OpenAI vs Brex](https://jobsbyculture.com/compare/brex-vs-openai)
-   [→ OpenAI vs Celonis](https://jobsbyculture.com/compare/celonis-vs-openai)
-   [→ OpenAI vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-openai)
-   [→ OpenAI vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-openai)
-   [→ OpenAI vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-openai)
-   [→ OpenAI vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-openai)
-   [→ OpenAI vs Cohere](https://jobsbyculture.com/compare/cohere-vs-openai)
-   [→ OpenAI vs Contentful](https://jobsbyculture.com/compare/contentful-vs-openai)
-   [→ OpenAI vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-openai)
-   [→ OpenAI vs Cresta](https://jobsbyculture.com/compare/cresta-vs-openai)
-   [→ OpenAI vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-openai)
-   [→ OpenAI vs Cursor](https://jobsbyculture.com/compare/cursor-vs-openai)
-   [→ OpenAI vs Databricks](https://jobsbyculture.com/compare/databricks-vs-openai)
-   [→ OpenAI vs Datadog](https://jobsbyculture.com/compare/datadog-vs-openai)
-   [→ OpenAI vs Decagon](https://jobsbyculture.com/compare/decagon-vs-openai)
-   [→ OpenAI vs DeepL](https://jobsbyculture.com/compare/deepl-vs-openai)
-   [→ OpenAI vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-openai)
-   [→ OpenAI vs Descript](https://jobsbyculture.com/compare/descript-vs-openai)
-   [→ OpenAI vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-openai)
-   [→ OpenAI vs Elastic](https://jobsbyculture.com/compare/elastic-vs-openai)
-   [→ OpenAI vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-openai)
-   [→ OpenAI vs Figma](https://jobsbyculture.com/compare/figma-vs-openai)
-   [→ OpenAI vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-openai)
-   [→ OpenAI vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-openai)
-   [→ OpenAI vs Glean](https://jobsbyculture.com/compare/glean-vs-openai)
-   [→ OpenAI vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-openai)
-   [→ OpenAI vs Granola](https://jobsbyculture.com/compare/granola-vs-openai)
-   [→ OpenAI vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-openai)
-   [→ OpenAI vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-openai)
-   [→ OpenAI vs Helsing](https://jobsbyculture.com/compare/helsing-vs-openai)
-   [→ OpenAI vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-openai)
-   [→ OpenAI vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-openai)
-   [→ OpenAI vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-openai)
-   [→ OpenAI vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-openai)
-   [→ OpenAI vs Lambda](https://jobsbyculture.com/compare/lambda-vs-openai)
-   [→ OpenAI vs LangChain](https://jobsbyculture.com/compare/langchain-vs-openai)
-   [→ OpenAI vs Linear](https://jobsbyculture.com/compare/linear-vs-openai)
-   [→ OpenAI vs Lovable](https://jobsbyculture.com/compare/lovable-vs-openai)
-   [→ OpenAI vs Mercor](https://jobsbyculture.com/compare/mercor-vs-openai)
-   [→ OpenAI vs Mercury](https://jobsbyculture.com/compare/mercury-vs-openai)
-   [→ OpenAI vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-openai)
-   [→ OpenAI vs Modal](https://jobsbyculture.com/compare/modal-vs-openai)
-   [→ OpenAI vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-openai)
-   [→ OpenAI vs n8n](https://jobsbyculture.com/compare/n8n-vs-openai)
-   [→ OpenAI vs Navan](https://jobsbyculture.com/compare/navan-vs-openai)
-   [→ OpenAI vs Notion](https://jobsbyculture.com/compare/notion-vs-openai)
-   [→ OpenAI vs google](https://jobsbyculture.com/compare/openai-vs-google)
-   [→ OpenAI vs meta](https://jobsbyculture.com/compare/openai-vs-meta)
-   [→ OpenAI vs microsoft](https://jobsbyculture.com/compare/openai-vs-microsoft)
-   [→ OpenAI vs Perplexity AI](https://jobsbyculture.com/compare/openai-vs-perplexity)
-   [→ OpenAI vs Pinecone](https://jobsbyculture.com/compare/openai-vs-pinecone)
-   [→ OpenAI vs Plaid](https://jobsbyculture.com/compare/openai-vs-plaid)
-   [→ OpenAI vs Poolside AI](https://jobsbyculture.com/compare/openai-vs-poolside)
-   [→ OpenAI vs PostHog](https://jobsbyculture.com/compare/openai-vs-posthog)
-   [→ OpenAI vs Pylon](https://jobsbyculture.com/compare/openai-vs-pylon)
-   [→ OpenAI vs Ramp](https://jobsbyculture.com/compare/openai-vs-ramp)
-   [→ OpenAI vs Replit](https://jobsbyculture.com/compare/openai-vs-replit)
-   [→ OpenAI vs Runway](https://jobsbyculture.com/compare/openai-vs-runway)
-   [→ OpenAI vs Samsara](https://jobsbyculture.com/compare/openai-vs-samsara)
-   [→ OpenAI vs Scale AI](https://jobsbyculture.com/compare/openai-vs-scale)
-   [→ OpenAI vs Sierra AI](https://jobsbyculture.com/compare/openai-vs-sierra)
-   [→ OpenAI vs Snowflake](https://jobsbyculture.com/compare/openai-vs-snowflake)
-   [→ OpenAI vs Stripe](https://jobsbyculture.com/compare/openai-vs-stripe)
-   [→ OpenAI vs Suno](https://jobsbyculture.com/compare/openai-vs-suno)
-   [→ OpenAI vs Supabase](https://jobsbyculture.com/compare/openai-vs-supabase)
-   [→ OpenAI vs Synthesia](https://jobsbyculture.com/compare/openai-vs-synthesia)
-   [→ OpenAI vs Tailscale](https://jobsbyculture.com/compare/openai-vs-tailscale)
-   [→ OpenAI vs Together AI](https://jobsbyculture.com/compare/openai-vs-together)
-   [→ OpenAI vs Twilio](https://jobsbyculture.com/compare/openai-vs-twilio)
-   [→ OpenAI vs Vanta](https://jobsbyculture.com/compare/openai-vs-vanta)
-   [→ OpenAI vs Vast AI](https://jobsbyculture.com/compare/openai-vs-vast)
-   [→ OpenAI vs Vercel](https://jobsbyculture.com/compare/openai-vs-vercel)
-   [→ OpenAI vs Wayve](https://jobsbyculture.com/compare/openai-vs-wayve)
-   [→ OpenAI vs Weaviate](https://jobsbyculture.com/compare/openai-vs-weaviate)
-   [→ OpenAI vs Webflow](https://jobsbyculture.com/compare/openai-vs-webflow)
-   [→ OpenAI vs Writer](https://jobsbyculture.com/compare/openai-vs-writer)
-   [→ OpenAI vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-openai)



🏢

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## Document: Palantir Glassdoor, Culture & Careers 2026 | JobsByCulture

# Palantir Glassdoor, Culture & Careers 2026 | JobsByCulture

> Palantir company profile: 3.7 Glassdoor, ~4,000 employees, $150k–$400k comp. Work-life balance, culture reviews, and 231 open careers at the data analytics & AI company.

Source: https://jobsbyculture.com/companies/palantir
Markdown: https://jobsbyculture.com/companies/palantir.md
Last updated: 2026-07-14

---
![Palantir logo](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

# Palantir

Data Analytics & AI Platform — Where Engineers Solve the Hardest Problems

The consensus on Palantir: Choose Palantir for intellectually demanding work with the smartest people in the room and outsized real-world impact — but the hours are long and the pace is unrelenting.

2003

Founded

Denver, CO

Headquarters

~4,000

Employees

NYSE: PLTR

Public Company

Free Work at Palantir? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Palantir

Palantir builds data platforms that governments and enterprises use to make critical decisions — from tracking supply chains to coordinating military operations. Co-founded by Peter Thiel and Alex Karp in 2003, the company has a unique culture: part Silicon Valley tech startup, part defense contractor, all intensity. Engineers work on product teams with minimal supervision and own end-to-end execution. The "Forward Deployed Engineer" role is Palantir's signature — embedding engineers directly with clients to solve problems that don't have textbook solutions.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Product Impact](https://jobsbyculture.com/values/product-impact) [Strong Equity](https://jobsbyculture.com/values/equity) [Ship Fast](https://jobsbyculture.com/values/ship-fast)

Glassdoor Ratings

## Palantir Glassdoor Ratings & _Employee Reviews_

3.7

Overall Glassdoor Score

Based on 869 reviews

Culture & Values 3.4

Work-Life Balance 2.8

Career Opportunities 3.9

Overall Rating 3.7

71% Recommend to a Friend

Employee Review Themes

## Working at Palantir: _Pros & Cons_

### ✓ What employees love

-   ✓ The smartest colleagues you'll ever work with — talent density is extraordinary across engineering and business
-   ✓ Real-world impact on mission-critical problems — your code matters in defense, healthcare, and infrastructure
-   ✓ Exceptional equity upside — PLTR stock has surged since IPO, creating significant wealth for long-tenured employees
-   ✓ Career acceleration — high performers advance fast with strong growth opportunities (3.9/5)

### ✗ What could be better

-   ✗ Work-life balance is genuinely poor (2.8/5) — long hours are the norm, not the exception
-   ✗ Intense, high-pressure culture that leads to burnout — not everyone thrives in this environment
-   ✗ Forward-deployed roles involve significant travel and client-facing pressure
-   ✗ Internal politics and hierarchy can be frustrating despite the technically-driven surface

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Java TypeScript Python Go Rust

#### Products

Three core platforms: Gotham (intelligence analysis), Foundry (enterprise data integration), and AIP (AI-powered decision-making). Each handles petabytes of data with real-time analytical capabilities.

#### Forward Deployed

Palantir's signature role: engineers embedded with clients in the field, solving novel problems with Palantir's platform. High autonomy, high stakes, no runbook to follow. [Explore roles →](https://www.palantir.com/careers/?ref=jobsbyculture.com)

#### Team Structure

Small, autonomous product teams with minimal management overhead. Engineers own features end-to-end. The culture rewards initiative and results over process and seniority.

Open Positions

## Join the _Palantir_ team

Explore all 276 open roles at Palantir below.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=palantir)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Agentic AI Jobs Grew 280% in 2026 — The Roles, Salaries & Companies Hiring Now](https://jobsbyculture.com/blog/agentic-ai-hiring-boom-2026)
-   [→ AI Engineer Salary Guide 2026: What Companies Actually Pay by Level](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026)
-   [→ Defense Tech Hiring Boom 2026: Anduril, Palantir & the $49B Talent War](https://jobsbyculture.com/blog/defense-tech-hiring-boom-2026)
-   [→ Forward Deployed Engineer: The Fastest-Growing AI Role in 2026 — What It Is, What It Pays, Who's Hiring](https://jobsbyculture.com/blog/forward-deployed-engineer-boom-2026)
-   [→ Palantir Salary 2026: $186K–$415K+ TC, Stock That Turned Employees Into Millionaires](https://jobsbyculture.com/blog/palantir-compensation-2026)

### Compare Palantir

-   [→ Palantir vs Databricks](https://jobsbyculture.com/compare/palantir-vs-databricks)



🏢

### Claim _Palantir_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Perplexity AI Culture & Jobs | JobsByCulture

# Perplexity AI Culture & Jobs | JobsByCulture

> Perplexity AI engineering culture: 4.7 Glassdoor, fastest-growing AI product, $20B. See 81 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/perplexity
Markdown: https://jobsbyculture.com/companies/perplexity.md
Last updated: 2026-07-14

---
![Perplexity AI logo](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

# Perplexity AI

AI-Powered Answer Engine — Fastest-Growing AI Product

The consensus on Perplexity AI: Choose Perplexity if you want the fastest-growing AI product and huge per-engineer impact — but expect startup intensity.

2022

Founded

San Francisco

Headquarters

~500

Employees

~$20B

Valuation

Free Work at Perplexity AI? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Perplexity AI

Founded in 2022 by Aravind Srinivas, Denis Yarats, Johnny Ho, and Andy Konwinski (with research backgrounds spanning OpenAI, Google/DeepMind, and Databricks), Perplexity AI has quickly become one of the fastest-growing AI products with real users and real revenue. The culture is intensely engineering-driven with a small team delivering massive impact per person. The CEO is deeply technical and accessible, creating an environment where shipping speed and product quality are paramount. Expect startup intensity, strong compensation and equity, and the opportunity to shape the future of AI-powered search.

[Ship-Fast](https://jobsbyculture.com/values/ship-fast) [Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Product Impact](https://jobsbyculture.com/values/product-impact) [Equity](https://jobsbyculture.com/values/equity) [Learning](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Perplexity AI Glassdoor Ratings & _Employee Reviews_

4.7

Overall Glassdoor Score

Based on 60 reviews

Culture & Values 4.6

Work-Life Balance 3.3

Compensation & Benefits 4.5

Career Opportunities 4.2

Senior Management 4.5

Overall Rating 4.7

92% Recommend to a Friend

95% CEO Approval (Aravind Srinivas)

Employee Review Themes

## Working at Perplexity AI: _Pros & Cons_

### ✓ What employees love

-   ✓ Fastest-growing AI product — real users, real revenue, and genuine product-market fit
-   ✓ Small team, massive impact per engineer — your work ships to millions quickly
-   ✓ Strong compensation and equity — early-stage upside with competitive base pay
-   ✓ CEO is deeply technical and accessible — leadership sets a strong engineering-first tone

### ✗ What could be better

-   ✗ Startup intensity — expect long hours and high expectations across the board
-   ✗ Growing pains as the team scales fast — roles and responsibilities shift frequently
-   ✗ Limited work-life balance — the pace is relentless and downtime is scarce
-   ✗ Processes are catching up to growth — some things feel ad-hoc as the org matures

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python TypeScript Rust

#### Core Technology

AI-powered search engine built on real-time retrieval-augmented generation (RAG). Combining large language models with live web data for accurate, sourced answers.

#### AI & Search

Cutting-edge work in LLM orchestration, search indexing, and real-time inference. Engineers work across the full stack from model fine-tuning to production serving. [Read the blog →](https://www.perplexity.ai/hub?ref=jobsbyculture.com)

#### Team Structure

Small, high-ownership teams moving at startup speed. Engineers are expected to be full-stack thinkers who can go from idea to production independently.

Open Positions

## Join the _Perplexity AI_ team

... open positions.

🌐 Remote

✕ Clear

[See all 81 Perplexity AI jobs →](https://jobsbyculture.com/jobs?company=perplexity)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Anthropic Salary 2026: $300k–$759k Engineer Total Comp Breakdown](https://jobsbyculture.com/blog/anthropic-compensation-2026)
-   [→ Anthropic Glassdoor Reviews Decoded 2026: What 150+ Employees Actually Say](https://jobsbyculture.com/blog/anthropic-glassdoor-reviews-decoded-2026)
-   [→ Best AI & Tech Companies for Engineers in 2026](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)

### Compare Perplexity AI

-   [→ Perplexity AI vs Abridge](https://jobsbyculture.com/compare/abridge-vs-perplexity)
-   [→ Perplexity AI vs Adyen](https://jobsbyculture.com/compare/adyen-vs-perplexity)
-   [→ Perplexity AI vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-perplexity)
-   [→ Perplexity AI vs Airtable](https://jobsbyculture.com/compare/airtable-vs-perplexity)
-   [→ Perplexity AI vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-perplexity)
-   [→ Perplexity AI vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-perplexity)
-   [→ Perplexity AI vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-perplexity)
-   [→ Perplexity AI vs Asana](https://jobsbyculture.com/compare/asana-vs-perplexity)
-   [→ Perplexity AI vs Baseten](https://jobsbyculture.com/compare/baseten-vs-perplexity)
-   [→ Perplexity AI vs Brex](https://jobsbyculture.com/compare/brex-vs-perplexity)
-   [→ Perplexity AI vs Celonis](https://jobsbyculture.com/compare/celonis-vs-perplexity)
-   [→ Perplexity AI vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-perplexity)
-   [→ Perplexity AI vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-perplexity)
-   [→ Perplexity AI vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-perplexity)
-   [→ Perplexity AI vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-perplexity)
-   [→ Perplexity AI vs Cohere](https://jobsbyculture.com/compare/cohere-vs-perplexity)
-   [→ Perplexity AI vs Contentful](https://jobsbyculture.com/compare/contentful-vs-perplexity)
-   [→ Perplexity AI vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-perplexity)
-   [→ Perplexity AI vs Cresta](https://jobsbyculture.com/compare/cresta-vs-perplexity)
-   [→ Perplexity AI vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-perplexity)
-   [→ Perplexity AI vs Cursor](https://jobsbyculture.com/compare/cursor-vs-perplexity)
-   [→ Perplexity AI vs Databricks](https://jobsbyculture.com/compare/databricks-vs-perplexity)
-   [→ Perplexity AI vs Datadog](https://jobsbyculture.com/compare/datadog-vs-perplexity)
-   [→ Perplexity AI vs Decagon](https://jobsbyculture.com/compare/decagon-vs-perplexity)
-   [→ Perplexity AI vs DeepL](https://jobsbyculture.com/compare/deepl-vs-perplexity)
-   [→ Perplexity AI vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-perplexity)
-   [→ Perplexity AI vs Descript](https://jobsbyculture.com/compare/descript-vs-perplexity)
-   [→ Perplexity AI vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-perplexity)
-   [→ Perplexity AI vs Elastic](https://jobsbyculture.com/compare/elastic-vs-perplexity)
-   [→ Perplexity AI vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-perplexity)
-   [→ Perplexity AI vs Figma](https://jobsbyculture.com/compare/figma-vs-perplexity)
-   [→ Perplexity AI vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-perplexity)
-   [→ Perplexity AI vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-perplexity)
-   [→ Perplexity AI vs Glean](https://jobsbyculture.com/compare/glean-vs-perplexity)
-   [→ Perplexity AI vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-perplexity)
-   [→ Perplexity AI vs Granola](https://jobsbyculture.com/compare/granola-vs-perplexity)
-   [→ Perplexity AI vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-perplexity)
-   [→ Perplexity AI vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-perplexity)
-   [→ Perplexity AI vs Helsing](https://jobsbyculture.com/compare/helsing-vs-perplexity)
-   [→ Perplexity AI vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-perplexity)
-   [→ Perplexity AI vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-perplexity)
-   [→ Perplexity AI vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-perplexity)
-   [→ Perplexity AI vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-perplexity)
-   [→ Perplexity AI vs Lambda](https://jobsbyculture.com/compare/lambda-vs-perplexity)
-   [→ Perplexity AI vs LangChain](https://jobsbyculture.com/compare/langchain-vs-perplexity)
-   [→ Perplexity AI vs Linear](https://jobsbyculture.com/compare/linear-vs-perplexity)
-   [→ Perplexity AI vs Lovable](https://jobsbyculture.com/compare/lovable-vs-perplexity)
-   [→ Perplexity AI vs Mercor](https://jobsbyculture.com/compare/mercor-vs-perplexity)
-   [→ Perplexity AI vs Mercury](https://jobsbyculture.com/compare/mercury-vs-perplexity)
-   [→ Perplexity AI vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-perplexity)
-   [→ Perplexity AI vs Modal](https://jobsbyculture.com/compare/modal-vs-perplexity)
-   [→ Perplexity AI vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-perplexity)
-   [→ Perplexity AI vs n8n](https://jobsbyculture.com/compare/n8n-vs-perplexity)
-   [→ Perplexity AI vs Navan](https://jobsbyculture.com/compare/navan-vs-perplexity)
-   [→ Perplexity AI vs Notion](https://jobsbyculture.com/compare/notion-vs-perplexity)
-   [→ Perplexity AI vs OpenAI](https://jobsbyculture.com/compare/openai-vs-perplexity)
-   [→ Perplexity AI vs OpenAI](https://jobsbyculture.com/compare/perplexity-vs-openai)
-   [→ Perplexity AI vs Pinecone](https://jobsbyculture.com/compare/perplexity-vs-pinecone)
-   [→ Perplexity AI vs Plaid](https://jobsbyculture.com/compare/perplexity-vs-plaid)
-   [→ Perplexity AI vs Poolside AI](https://jobsbyculture.com/compare/perplexity-vs-poolside)
-   [→ Perplexity AI vs PostHog](https://jobsbyculture.com/compare/perplexity-vs-posthog)
-   [→ Perplexity AI vs Pylon](https://jobsbyculture.com/compare/perplexity-vs-pylon)
-   [→ Perplexity AI vs Ramp](https://jobsbyculture.com/compare/perplexity-vs-ramp)
-   [→ Perplexity AI vs Replit](https://jobsbyculture.com/compare/perplexity-vs-replit)
-   [→ Perplexity AI vs Runway](https://jobsbyculture.com/compare/perplexity-vs-runway)
-   [→ Perplexity AI vs Samsara](https://jobsbyculture.com/compare/perplexity-vs-samsara)
-   [→ Perplexity AI vs Scale AI](https://jobsbyculture.com/compare/perplexity-vs-scale)
-   [→ Perplexity AI vs Sierra AI](https://jobsbyculture.com/compare/perplexity-vs-sierra)
-   [→ Perplexity AI vs Snowflake](https://jobsbyculture.com/compare/perplexity-vs-snowflake)
-   [→ Perplexity AI vs Stripe](https://jobsbyculture.com/compare/perplexity-vs-stripe)
-   [→ Perplexity AI vs Suno](https://jobsbyculture.com/compare/perplexity-vs-suno)
-   [→ Perplexity AI vs Supabase](https://jobsbyculture.com/compare/perplexity-vs-supabase)
-   [→ Perplexity AI vs Synthesia](https://jobsbyculture.com/compare/perplexity-vs-synthesia)
-   [→ Perplexity AI vs Tailscale](https://jobsbyculture.com/compare/perplexity-vs-tailscale)
-   [→ Perplexity AI vs Together AI](https://jobsbyculture.com/compare/perplexity-vs-together)
-   [→ Perplexity AI vs Twilio](https://jobsbyculture.com/compare/perplexity-vs-twilio)
-   [→ Perplexity AI vs Vanta](https://jobsbyculture.com/compare/perplexity-vs-vanta)
-   [→ Perplexity AI vs Vast AI](https://jobsbyculture.com/compare/perplexity-vs-vast)
-   [→ Perplexity AI vs Vercel](https://jobsbyculture.com/compare/perplexity-vs-vercel)
-   [→ Perplexity AI vs Wayve](https://jobsbyculture.com/compare/perplexity-vs-wayve)
-   [→ Perplexity AI vs Weaviate](https://jobsbyculture.com/compare/perplexity-vs-weaviate)
-   [→ Perplexity AI vs Webflow](https://jobsbyculture.com/compare/perplexity-vs-webflow)
-   [→ Perplexity AI vs Writer](https://jobsbyculture.com/compare/perplexity-vs-writer)



🏢

### Claim _Perplexity AI_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Pinecone Culture & Jobs | JobsByCulture

# Pinecone Culture & Jobs | JobsByCulture

> Pinecone engineering culture: 4.2 Glassdoor, $130K-$305K TC, leading vector database for AI. See 3 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/pinecone
Markdown: https://jobsbyculture.com/companies/pinecone.md
Last updated: 2026-07-14

---
![Pinecone logo](https://www.google.com/s2/favicons?domain=pinecone.io&sz=128)

# Pinecone

Vector Database for AI — Purpose-Built for Semantic Search, RAG, and Recommendations

The consensus on Pinecone: Choose Pinecone if you want startup equity upside, a genuinely collaborative no-politics culture, and direct impact on production AI applications — but expect a small team and competitive pressure from cloud incumbents.

2019

Founded

New York

Headquarters

~130

Employees

$750M

Valuation (2023 Series B)

Free Work at Pinecone? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Pinecone

Founded in 2019 by Dr. Edo Liberty (ex-AWS Director of Research), Pinecone pioneered the managed vector database category. In September 2025, Ash Ashutosh (ex-Google) took over as CEO while Edo Liberty moved to Chief Scientist. The culture is collaborative and low-ego, with a fully remote team of database and AI infrastructure veterans. Engineers have deep ownership and work on the foundational data layer powering modern AI applications.

[Flex Hours](https://jobsbyculture.com/values/flex-hours) [Learning](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact) [Eng-Driven](https://jobsbyculture.com/values/eng-driven)

Glassdoor Ratings

## Pinecone Glassdoor Ratings & _Employee Reviews_

4.2

Overall Glassdoor Score

Based on 13 reviews

Culture & Values 4.6

Compensation & Benefits 4.6

Work-Life Balance 4.4

Career Opportunities 4.4

Senior Management 4.3

Overall Rating 4.2

76% Recommend to a Friend

Employee Review Themes

## Working at Pinecone: _Pros & Cons_

### ✓ What employees love

-   ✓ Genuinely nice, humble, smart people — everyone is eager to help in a sincere way
-   ✓ No silos between teams; open cross-functional communication and high autonomy
-   ✓ Above-average pay with strong benefits (90% healthcare, unlimited PTO, 401k)
-   ✓ Working on THE vector database in the AI space — strong developer love and market leadership
-   ✓ Truly global, fully remote company with transparent leadership

### ✗ What could be better

-   ✗ Very small team (~130 people) means limited internal mobility and career ladder clarity
-   ✗ Growing competitive pressure from AWS, Azure, and GCP offering native vector search
-   ✗ Layoffs were communicated poorly — described as “very abrupt and sudden”
-   ✗ Recent CEO transition (Sep 2025) creates some uncertainty about strategic direction

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Rust Python Go gRPC AVX-512

#### Products

Serverless DB Hybrid Search Inference API

#### Engineering Blog

Published deep dives on the Rust rewrite of the storage engine, HNSW indexing, and serverless architecture. [Read the blog →](https://www.pinecone.io/blog/?ref=jobsbyculture.com)

#### Team Structure

Fully remote, globally distributed engineering team. Veterans from AWS, Databricks, Google, and Microsoft working on database internals, cloud infra, and ML.

Open Positions

## Join the _Pinecone_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=pinecone)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)
-   [→ Best AI Companies for Work-Life Balance in New York (2026)](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-new-york-2026)

### Compare Pinecone

-   [→ Pinecone vs Abridge](https://jobsbyculture.com/compare/abridge-vs-pinecone)
-   [→ Pinecone vs Adyen](https://jobsbyculture.com/compare/adyen-vs-pinecone)
-   [→ Pinecone vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-pinecone)
-   [→ Pinecone vs Airtable](https://jobsbyculture.com/compare/airtable-vs-pinecone)
-   [→ Pinecone vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-pinecone)
-   [→ Pinecone vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-pinecone)
-   [→ Pinecone vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-pinecone)
-   [→ Pinecone vs Asana](https://jobsbyculture.com/compare/asana-vs-pinecone)
-   [→ Pinecone vs Baseten](https://jobsbyculture.com/compare/baseten-vs-pinecone)
-   [→ Pinecone vs Brex](https://jobsbyculture.com/compare/brex-vs-pinecone)
-   [→ Pinecone vs Celonis](https://jobsbyculture.com/compare/celonis-vs-pinecone)
-   [→ Pinecone vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-pinecone)
-   [→ Pinecone vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-pinecone)
-   [→ Pinecone vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-pinecone)
-   [→ Pinecone vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-pinecone)
-   [→ Pinecone vs Cohere](https://jobsbyculture.com/compare/cohere-vs-pinecone)
-   [→ Pinecone vs Contentful](https://jobsbyculture.com/compare/contentful-vs-pinecone)
-   [→ Pinecone vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-pinecone)
-   [→ Pinecone vs Cresta](https://jobsbyculture.com/compare/cresta-vs-pinecone)
-   [→ Pinecone vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-pinecone)
-   [→ Pinecone vs Cursor](https://jobsbyculture.com/compare/cursor-vs-pinecone)
-   [→ Pinecone vs Databricks](https://jobsbyculture.com/compare/databricks-vs-pinecone)
-   [→ Pinecone vs Datadog](https://jobsbyculture.com/compare/datadog-vs-pinecone)
-   [→ Pinecone vs Decagon](https://jobsbyculture.com/compare/decagon-vs-pinecone)
-   [→ Pinecone vs DeepL](https://jobsbyculture.com/compare/deepl-vs-pinecone)
-   [→ Pinecone vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-pinecone)
-   [→ Pinecone vs Descript](https://jobsbyculture.com/compare/descript-vs-pinecone)
-   [→ Pinecone vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-pinecone)
-   [→ Pinecone vs Elastic](https://jobsbyculture.com/compare/elastic-vs-pinecone)
-   [→ Pinecone vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-pinecone)
-   [→ Pinecone vs Figma](https://jobsbyculture.com/compare/figma-vs-pinecone)
-   [→ Pinecone vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-pinecone)
-   [→ Pinecone vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-pinecone)
-   [→ Pinecone vs Glean](https://jobsbyculture.com/compare/glean-vs-pinecone)
-   [→ Pinecone vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-pinecone)
-   [→ Pinecone vs Granola](https://jobsbyculture.com/compare/granola-vs-pinecone)
-   [→ Pinecone vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-pinecone)
-   [→ Pinecone vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-pinecone)
-   [→ Pinecone vs Helsing](https://jobsbyculture.com/compare/helsing-vs-pinecone)
-   [→ Pinecone vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-pinecone)
-   [→ Pinecone vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-pinecone)
-   [→ Pinecone vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-pinecone)
-   [→ Pinecone vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-pinecone)
-   [→ Pinecone vs Lambda](https://jobsbyculture.com/compare/lambda-vs-pinecone)
-   [→ Pinecone vs LangChain](https://jobsbyculture.com/compare/langchain-vs-pinecone)
-   [→ Pinecone vs Linear](https://jobsbyculture.com/compare/linear-vs-pinecone)
-   [→ Pinecone vs Lovable](https://jobsbyculture.com/compare/lovable-vs-pinecone)
-   [→ Pinecone vs Mercor](https://jobsbyculture.com/compare/mercor-vs-pinecone)
-   [→ Pinecone vs Mercury](https://jobsbyculture.com/compare/mercury-vs-pinecone)
-   [→ Pinecone vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-pinecone)
-   [→ Pinecone vs Modal](https://jobsbyculture.com/compare/modal-vs-pinecone)
-   [→ Pinecone vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-pinecone)
-   [→ Pinecone vs n8n](https://jobsbyculture.com/compare/n8n-vs-pinecone)
-   [→ Pinecone vs Navan](https://jobsbyculture.com/compare/navan-vs-pinecone)
-   [→ Pinecone vs Notion](https://jobsbyculture.com/compare/notion-vs-pinecone)
-   [→ Pinecone vs OpenAI](https://jobsbyculture.com/compare/openai-vs-pinecone)
-   [→ Pinecone vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-pinecone)
-   [→ Pinecone vs Plaid](https://jobsbyculture.com/compare/pinecone-vs-plaid)
-   [→ Pinecone vs Poolside AI](https://jobsbyculture.com/compare/pinecone-vs-poolside)
-   [→ Pinecone vs PostHog](https://jobsbyculture.com/compare/pinecone-vs-posthog)
-   [→ Pinecone vs Pylon](https://jobsbyculture.com/compare/pinecone-vs-pylon)
-   [→ Pinecone vs Ramp](https://jobsbyculture.com/compare/pinecone-vs-ramp)
-   [→ Pinecone vs Replit](https://jobsbyculture.com/compare/pinecone-vs-replit)
-   [→ Pinecone vs Runway](https://jobsbyculture.com/compare/pinecone-vs-runway)
-   [→ Pinecone vs Samsara](https://jobsbyculture.com/compare/pinecone-vs-samsara)
-   [→ Pinecone vs Scale AI](https://jobsbyculture.com/compare/pinecone-vs-scale)
-   [→ Pinecone vs Sierra AI](https://jobsbyculture.com/compare/pinecone-vs-sierra)
-   [→ Pinecone vs Snowflake](https://jobsbyculture.com/compare/pinecone-vs-snowflake)
-   [→ Pinecone vs Stripe](https://jobsbyculture.com/compare/pinecone-vs-stripe)
-   [→ Pinecone vs Suno](https://jobsbyculture.com/compare/pinecone-vs-suno)
-   [→ Pinecone vs Supabase](https://jobsbyculture.com/compare/pinecone-vs-supabase)
-   [→ Pinecone vs Synthesia](https://jobsbyculture.com/compare/pinecone-vs-synthesia)
-   [→ Pinecone vs Tailscale](https://jobsbyculture.com/compare/pinecone-vs-tailscale)
-   [→ Pinecone vs Together AI](https://jobsbyculture.com/compare/pinecone-vs-together)
-   [→ Pinecone vs Twilio](https://jobsbyculture.com/compare/pinecone-vs-twilio)
-   [→ Pinecone vs Vanta](https://jobsbyculture.com/compare/pinecone-vs-vanta)
-   [→ Pinecone vs Vast AI](https://jobsbyculture.com/compare/pinecone-vs-vast)
-   [→ Pinecone vs Vercel](https://jobsbyculture.com/compare/pinecone-vs-vercel)
-   [→ Pinecone vs Wayve](https://jobsbyculture.com/compare/pinecone-vs-wayve)
-   [→ Pinecone vs Weaviate](https://jobsbyculture.com/compare/pinecone-vs-weaviate)
-   [→ Pinecone vs Webflow](https://jobsbyculture.com/compare/pinecone-vs-webflow)
-   [→ Pinecone vs Writer](https://jobsbyculture.com/compare/pinecone-vs-writer)



🏢

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## Document: Plaid Culture & Glassdoor Rating 2026 — Jobs & Reviews | JobsByCulture

# Plaid Culture & Glassdoor Rating 2026 — Jobs & Reviews | JobsByCulture

> Plaid Glassdoor rating: 4.2/5.0 with strong employee recommendations. Engineering-driven culture, financial infrastructure API. See open roles, employee reviews, and detailed Glassdoor breakdown.

Source: https://jobsbyculture.com/companies/plaid
Markdown: https://jobsbyculture.com/companies/plaid.md
Last updated: 2026-07-14

---
![Plaid logo](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

# Plaid

Financial Infrastructure API — Connecting Apps to Users' Bank Accounts

The consensus on Plaid: Choose Plaid if you want top-tier engineering culture, transparent leadership, and real fintech impact — but expect some growing pains as the company navigates organizational change.

2013

Founded

San Francisco, CA

HQ

~1,400

Employees

$6.1B

Valuation (2025)

Free Work at Plaid? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Plaid

Founded in 2013 by Zach Perret and William Hockey, Plaid powers the financial data layer for thousands of fintech apps including Venmo, Robinhood, and Coinbase. The culture emphasizes openness, empowerment, and social support — senior leadership makes themselves accessible and answers questions thoughtfully and honestly from anyone in the company. Plaid consistently earns strong employee reviews and ranks among the better-rated fintech companies on Glassdoor. Engineers work on APIs that move billions of dollars and connect millions of bank accounts.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Transparent](https://jobsbyculture.com/values/transparent) [Learning & Growth](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact) [Safe to Fail](https://jobsbyculture.com/values/psych-safety) [Diverse & Inclusive](https://jobsbyculture.com/values/diverse)

Glassdoor Ratings

## Plaid Glassdoor Ratings & _Employee Reviews_

4.2

Overall Glassdoor Score

Based on 194 reviews

Culture & Values 4.2

Compensation & Benefits 4.1

Senior Management 4.0

Career Opportunities 3.9

Work-Life Balance 4.2

Overall Rating 4.2

Highly Recommended by Employees

94% CEO Approval (Zach Perret)

Employee Review Themes

## Working at Plaid: _Pros & Cons_

### ✓ What employees love

-   ✓ Consistently strong Glassdoor reviews — one of the better-rated fintech companies on Glassdoor
-   ✓ Highly accessible and transparent senior leadership — C-suite engages openly with all employees
-   ✓ Competitive compensation (4.1/5 rating) with strong equity packages
-   ✓ Build APIs used by millions — Venmo, Robinhood, and thousands of fintechs rely on Plaid
-   ✓ Friendly, kind, smart group of people with a genuinely supportive work environment

### ✗ What could be better

-   ✗ Organizational changes can create uncertainty as the company scales
-   ✗ Career opportunities rated 3.9/5 — growth paths may vary significantly by department
-   ✗ Some departments have inconsistent management quality
-   ✗ Valuation reset to $6.1B in April 2025 (down from $13.4B in 2021) — may affect morale and stock expectations

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Go TypeScript Python React Kubernetes gRPC PostgreSQL

#### Open Source & Standards

Contributors to financial data standards and open banking protocols. Active in the fintech open-source community driving interoperability and data access.

#### Engineering Blog

Covers distributed systems, API design, and financial infrastructure at scale. [Read the blog →](https://plaid.com/blog?ref=jobsbyculture.com)

#### Team Structure

Cross-functional product teams with strong engineering ownership. Engineers drive technical decisions with deep domain expertise in financial data.

Open Positions

## Join the _Plaid_ team

... open positions.

🌐 Remote

✕ Clear

[See all Plaid jobs →](https://jobsbyculture.com/jobs?company=plaid)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
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-   [→ Best Tech Company Perks in 2026: Beyond Free Lunch (What Actually Matters)](https://jobsbyculture.com/blog/best-tech-office-perks-2026)

### Compare Plaid

-   [→ Plaid vs Abridge](https://jobsbyculture.com/compare/abridge-vs-plaid)
-   [→ Plaid vs Adyen](https://jobsbyculture.com/compare/adyen-vs-plaid)
-   [→ Plaid vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-plaid)
-   [→ Plaid vs Airtable](https://jobsbyculture.com/compare/airtable-vs-plaid)
-   [→ Plaid vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-plaid)
-   [→ Plaid vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-plaid)
-   [→ Plaid vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-plaid)
-   [→ Plaid vs Asana](https://jobsbyculture.com/compare/asana-vs-plaid)
-   [→ Plaid vs Baseten](https://jobsbyculture.com/compare/baseten-vs-plaid)
-   [→ Plaid vs Brex](https://jobsbyculture.com/compare/brex-vs-plaid)
-   [→ Plaid vs Celonis](https://jobsbyculture.com/compare/celonis-vs-plaid)
-   [→ Plaid vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-plaid)
-   [→ Plaid vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-plaid)
-   [→ Plaid vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-plaid)
-   [→ Plaid vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-plaid)
-   [→ Plaid vs Cohere](https://jobsbyculture.com/compare/cohere-vs-plaid)
-   [→ Plaid vs Contentful](https://jobsbyculture.com/compare/contentful-vs-plaid)
-   [→ Plaid vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-plaid)
-   [→ Plaid vs Cresta](https://jobsbyculture.com/compare/cresta-vs-plaid)
-   [→ Plaid vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-plaid)
-   [→ Plaid vs Cursor](https://jobsbyculture.com/compare/cursor-vs-plaid)
-   [→ Plaid vs Databricks](https://jobsbyculture.com/compare/databricks-vs-plaid)
-   [→ Plaid vs Datadog](https://jobsbyculture.com/compare/datadog-vs-plaid)
-   [→ Plaid vs Decagon](https://jobsbyculture.com/compare/decagon-vs-plaid)
-   [→ Plaid vs DeepL](https://jobsbyculture.com/compare/deepl-vs-plaid)
-   [→ Plaid vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-plaid)
-   [→ Plaid vs Descript](https://jobsbyculture.com/compare/descript-vs-plaid)
-   [→ Plaid vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-plaid)
-   [→ Plaid vs Elastic](https://jobsbyculture.com/compare/elastic-vs-plaid)
-   [→ Plaid vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-plaid)
-   [→ Plaid vs Figma](https://jobsbyculture.com/compare/figma-vs-plaid)
-   [→ Plaid vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-plaid)
-   [→ Plaid vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-plaid)
-   [→ Plaid vs Glean](https://jobsbyculture.com/compare/glean-vs-plaid)
-   [→ Plaid vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-plaid)
-   [→ Plaid vs Granola](https://jobsbyculture.com/compare/granola-vs-plaid)
-   [→ Plaid vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-plaid)
-   [→ Plaid vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-plaid)
-   [→ Plaid vs Helsing](https://jobsbyculture.com/compare/helsing-vs-plaid)
-   [→ Plaid vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-plaid)
-   [→ Plaid vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-plaid)
-   [→ Plaid vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-plaid)
-   [→ Plaid vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-plaid)
-   [→ Plaid vs Lambda](https://jobsbyculture.com/compare/lambda-vs-plaid)
-   [→ Plaid vs LangChain](https://jobsbyculture.com/compare/langchain-vs-plaid)
-   [→ Plaid vs Linear](https://jobsbyculture.com/compare/linear-vs-plaid)
-   [→ Plaid vs Lovable](https://jobsbyculture.com/compare/lovable-vs-plaid)
-   [→ Plaid vs Mercor](https://jobsbyculture.com/compare/mercor-vs-plaid)
-   [→ Plaid vs Mercury](https://jobsbyculture.com/compare/mercury-vs-plaid)
-   [→ Plaid vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-plaid)
-   [→ Plaid vs Modal](https://jobsbyculture.com/compare/modal-vs-plaid)
-   [→ Plaid vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-plaid)
-   [→ Plaid vs n8n](https://jobsbyculture.com/compare/n8n-vs-plaid)
-   [→ Plaid vs Navan](https://jobsbyculture.com/compare/navan-vs-plaid)
-   [→ Plaid vs Notion](https://jobsbyculture.com/compare/notion-vs-plaid)
-   [→ Plaid vs OpenAI](https://jobsbyculture.com/compare/openai-vs-plaid)
-   [→ Plaid vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-plaid)
-   [→ Plaid vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-plaid)
-   [→ Plaid vs Poolside AI](https://jobsbyculture.com/compare/plaid-vs-poolside)
-   [→ Plaid vs PostHog](https://jobsbyculture.com/compare/plaid-vs-posthog)
-   [→ Plaid vs Pylon](https://jobsbyculture.com/compare/plaid-vs-pylon)
-   [→ Plaid vs Ramp](https://jobsbyculture.com/compare/plaid-vs-ramp)
-   [→ Plaid vs Replit](https://jobsbyculture.com/compare/plaid-vs-replit)
-   [→ Plaid vs Runway](https://jobsbyculture.com/compare/plaid-vs-runway)
-   [→ Plaid vs Samsara](https://jobsbyculture.com/compare/plaid-vs-samsara)
-   [→ Plaid vs Scale AI](https://jobsbyculture.com/compare/plaid-vs-scale)
-   [→ Plaid vs Sierra AI](https://jobsbyculture.com/compare/plaid-vs-sierra)
-   [→ Plaid vs Snowflake](https://jobsbyculture.com/compare/plaid-vs-snowflake)
-   [→ Plaid vs Stripe](https://jobsbyculture.com/compare/plaid-vs-stripe)
-   [→ Plaid vs Suno](https://jobsbyculture.com/compare/plaid-vs-suno)
-   [→ Plaid vs Supabase](https://jobsbyculture.com/compare/plaid-vs-supabase)
-   [→ Plaid vs Synthesia](https://jobsbyculture.com/compare/plaid-vs-synthesia)
-   [→ Plaid vs Tailscale](https://jobsbyculture.com/compare/plaid-vs-tailscale)
-   [→ Plaid vs Together AI](https://jobsbyculture.com/compare/plaid-vs-together)
-   [→ Plaid vs Twilio](https://jobsbyculture.com/compare/plaid-vs-twilio)
-   [→ Plaid vs Vanta](https://jobsbyculture.com/compare/plaid-vs-vanta)
-   [→ Plaid vs Vast AI](https://jobsbyculture.com/compare/plaid-vs-vast)
-   [→ Plaid vs Vercel](https://jobsbyculture.com/compare/plaid-vs-vercel)
-   [→ Plaid vs Wayve](https://jobsbyculture.com/compare/plaid-vs-wayve)
-   [→ Plaid vs Weaviate](https://jobsbyculture.com/compare/plaid-vs-weaviate)
-   [→ Plaid vs Webflow](https://jobsbyculture.com/compare/plaid-vs-webflow)
-   [→ Plaid vs Writer](https://jobsbyculture.com/compare/plaid-vs-writer)



🏢

### Claim _Plaid_

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---

## Document: Poolside AI Glassdoor, Culture & Careers 2026 | JobsByCulture

# Poolside AI Glassdoor, Culture & Careers 2026 | JobsByCulture

> Poolside AI company profile: 3.8 Glassdoor, ~200+ employees. Work-life balance, culture reviews, and open careers at the AI code generation models company.

Source: https://jobsbyculture.com/companies/poolside
Markdown: https://jobsbyculture.com/companies/poolside.md
Last updated: 2026-07-14

---
![Poolside logo](https://www.google.com/s2/favicons?domain=poolside.ai&sz=128)

# Poolside

AI Code Generation Models — San Francisco & Paris

The consensus on Poolside: Be brilliant, be kind — where ideas become experiments and experiments become breakthroughs. Remote-first with monthly Paris gatherings.

SF / Paris

Headquarters

~200+

Employees

3.8

Glassdoor

Free Work at Poolside? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Poolside

Poolside is building AI foundation models specifically for code generation, with offices in San Francisco and Paris. The culture is remote-first, flat, and research-oriented — "be brilliant, be kind" is the ethos. With ~200+ employees, everyone wears many hats and has real impact on cutting-edge code generation research. Monthly Paris gatherings keep the distributed team connected. Still early-stage, so processes are forming and compensation may trail larger AI labs.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Remote-Friendly](https://jobsbyculture.com/values/remote) [Flat Structure](https://jobsbyculture.com/values/flat) [Many Hats](https://jobsbyculture.com/values/many-hats) [Learning Culture](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Poolside Glassdoor Ratings & _Employee Reviews_

3.8

Overall Glassdoor Score

Very limited data (4 reviews) — estimates noted

Culture & Values4.0

Work-Life Balance3.5

Compensation & Benefits3.5

Career Opportunities3.8

Senior Management3.5

Overall Rating3.8

Employee Review Themes

## Working at Poolside: _Pros & Cons_

### ✓ What employees love

-   ✓Remote-first across Europe and North America
-   ✓Cutting-edge foundation models for code generation
-   ✓Remote-first with monthly Paris gatherings
-   ✓Cutting-edge code generation research

### ✗ What could be better

-   ✗Very early-stage — processes still forming
-   ✗Compensation may trail larger AI labs
-   ✗Early-stage with limited structure
-   ✗Comp may trail larger AI labs

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

PythonPyTorchCUDA

#### Product

Foundation models purpose-built for code generation. Training large-scale models on code-specific datasets to power the next generation of AI coding assistants.

#### AI & ML

Frontier research in code-specific foundation models, training infrastructure, and code understanding. [Learn more →](https://poolside.ai?ref=jobsbyculture.com)

#### Team Structure

~200+ employees, remote-first with flat structure. Monthly in-person gatherings in Paris. Engineers wear many hats across research and engineering.

Open Positions

## Join the _Poolside_ team

Explore open roles at Poolside below.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=poolside)

Explore More

## Related _content_

### Blog Posts

-   [→ Forward Deployed Engineer: The Fastest-Growing AI Role in 2026 — What It Is, What It Pays, Who's Hiring](https://jobsbyculture.com/blog/forward-deployed-engineer-boom-2026)
-   [→ Only 19% of AI Companies Are Genuinely Remote-First: Our Data Across 118 Companies](https://jobsbyculture.com/blog/remote-work-ai-companies-data-2026)

### Compare Poolside AI

-   [→ Poolside AI vs Abridge](https://jobsbyculture.com/compare/abridge-vs-poolside)
-   [→ Poolside AI vs Adyen](https://jobsbyculture.com/compare/adyen-vs-poolside)
-   [→ Poolside AI vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-poolside)
-   [→ Poolside AI vs Airtable](https://jobsbyculture.com/compare/airtable-vs-poolside)
-   [→ Poolside AI vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-poolside)
-   [→ Poolside AI vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-poolside)
-   [→ Poolside AI vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-poolside)
-   [→ Poolside AI vs Asana](https://jobsbyculture.com/compare/asana-vs-poolside)
-   [→ Poolside AI vs Baseten](https://jobsbyculture.com/compare/baseten-vs-poolside)
-   [→ Poolside AI vs Brex](https://jobsbyculture.com/compare/brex-vs-poolside)
-   [→ Poolside AI vs Celonis](https://jobsbyculture.com/compare/celonis-vs-poolside)
-   [→ Poolside AI vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-poolside)
-   [→ Poolside AI vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-poolside)
-   [→ Poolside AI vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-poolside)
-   [→ Poolside AI vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-poolside)
-   [→ Poolside AI vs Cohere](https://jobsbyculture.com/compare/cohere-vs-poolside)
-   [→ Poolside AI vs Contentful](https://jobsbyculture.com/compare/contentful-vs-poolside)
-   [→ Poolside AI vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-poolside)
-   [→ Poolside AI vs Cresta](https://jobsbyculture.com/compare/cresta-vs-poolside)
-   [→ Poolside AI vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-poolside)
-   [→ Poolside AI vs Cursor](https://jobsbyculture.com/compare/cursor-vs-poolside)
-   [→ Poolside AI vs Databricks](https://jobsbyculture.com/compare/databricks-vs-poolside)
-   [→ Poolside AI vs Datadog](https://jobsbyculture.com/compare/datadog-vs-poolside)
-   [→ Poolside AI vs Decagon](https://jobsbyculture.com/compare/decagon-vs-poolside)
-   [→ Poolside AI vs DeepL](https://jobsbyculture.com/compare/deepl-vs-poolside)
-   [→ Poolside AI vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-poolside)
-   [→ Poolside AI vs Descript](https://jobsbyculture.com/compare/descript-vs-poolside)
-   [→ Poolside AI vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-poolside)
-   [→ Poolside AI vs Elastic](https://jobsbyculture.com/compare/elastic-vs-poolside)
-   [→ Poolside AI vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-poolside)
-   [→ Poolside AI vs Figma](https://jobsbyculture.com/compare/figma-vs-poolside)
-   [→ Poolside AI vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-poolside)
-   [→ Poolside AI vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-poolside)
-   [→ Poolside AI vs Glean](https://jobsbyculture.com/compare/glean-vs-poolside)
-   [→ Poolside AI vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-poolside)
-   [→ Poolside AI vs Granola](https://jobsbyculture.com/compare/granola-vs-poolside)
-   [→ Poolside AI vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-poolside)
-   [→ Poolside AI vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-poolside)
-   [→ Poolside AI vs Helsing](https://jobsbyculture.com/compare/helsing-vs-poolside)
-   [→ Poolside AI vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-poolside)
-   [→ Poolside AI vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-poolside)
-   [→ Poolside AI vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-poolside)
-   [→ Poolside AI vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-poolside)
-   [→ Poolside AI vs Lambda](https://jobsbyculture.com/compare/lambda-vs-poolside)
-   [→ Poolside AI vs LangChain](https://jobsbyculture.com/compare/langchain-vs-poolside)
-   [→ Poolside AI vs Linear](https://jobsbyculture.com/compare/linear-vs-poolside)
-   [→ Poolside AI vs Lovable](https://jobsbyculture.com/compare/lovable-vs-poolside)
-   [→ Poolside AI vs Mercor](https://jobsbyculture.com/compare/mercor-vs-poolside)
-   [→ Poolside AI vs Mercury](https://jobsbyculture.com/compare/mercury-vs-poolside)
-   [→ Poolside AI vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-poolside)
-   [→ Poolside AI vs Modal](https://jobsbyculture.com/compare/modal-vs-poolside)
-   [→ Poolside AI vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-poolside)
-   [→ Poolside AI vs n8n](https://jobsbyculture.com/compare/n8n-vs-poolside)
-   [→ Poolside AI vs Navan](https://jobsbyculture.com/compare/navan-vs-poolside)
-   [→ Poolside AI vs Notion](https://jobsbyculture.com/compare/notion-vs-poolside)
-   [→ Poolside AI vs OpenAI](https://jobsbyculture.com/compare/openai-vs-poolside)
-   [→ Poolside AI vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-poolside)
-   [→ Poolside AI vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-poolside)
-   [→ Poolside AI vs Plaid](https://jobsbyculture.com/compare/plaid-vs-poolside)
-   [→ Poolside AI vs PostHog](https://jobsbyculture.com/compare/poolside-vs-posthog)
-   [→ Poolside AI vs Pylon](https://jobsbyculture.com/compare/poolside-vs-pylon)
-   [→ Poolside AI vs Ramp](https://jobsbyculture.com/compare/poolside-vs-ramp)
-   [→ Poolside AI vs Replit](https://jobsbyculture.com/compare/poolside-vs-replit)
-   [→ Poolside AI vs Runway](https://jobsbyculture.com/compare/poolside-vs-runway)
-   [→ Poolside AI vs Samsara](https://jobsbyculture.com/compare/poolside-vs-samsara)
-   [→ Poolside AI vs Scale AI](https://jobsbyculture.com/compare/poolside-vs-scale)
-   [→ Poolside AI vs Sierra AI](https://jobsbyculture.com/compare/poolside-vs-sierra)
-   [→ Poolside AI vs Snowflake](https://jobsbyculture.com/compare/poolside-vs-snowflake)
-   [→ Poolside AI vs Stripe](https://jobsbyculture.com/compare/poolside-vs-stripe)
-   [→ Poolside AI vs Suno](https://jobsbyculture.com/compare/poolside-vs-suno)
-   [→ Poolside AI vs Supabase](https://jobsbyculture.com/compare/poolside-vs-supabase)
-   [→ Poolside AI vs Synthesia](https://jobsbyculture.com/compare/poolside-vs-synthesia)
-   [→ Poolside AI vs Tailscale](https://jobsbyculture.com/compare/poolside-vs-tailscale)
-   [→ Poolside AI vs Together AI](https://jobsbyculture.com/compare/poolside-vs-together)
-   [→ Poolside AI vs Twilio](https://jobsbyculture.com/compare/poolside-vs-twilio)
-   [→ Poolside AI vs Vanta](https://jobsbyculture.com/compare/poolside-vs-vanta)
-   [→ Poolside AI vs Vast AI](https://jobsbyculture.com/compare/poolside-vs-vast)
-   [→ Poolside AI vs Vercel](https://jobsbyculture.com/compare/poolside-vs-vercel)
-   [→ Poolside AI vs Wayve](https://jobsbyculture.com/compare/poolside-vs-wayve)
-   [→ Poolside AI vs Weaviate](https://jobsbyculture.com/compare/poolside-vs-weaviate)
-   [→ Poolside AI vs Webflow](https://jobsbyculture.com/compare/poolside-vs-webflow)
-   [→ Poolside AI vs Writer](https://jobsbyculture.com/compare/poolside-vs-writer)



🏢

### Claim _Poolside_

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---

## Document: PostHog Culture & Jobs | JobsByCulture

# PostHog Culture & Jobs | JobsByCulture

> PostHog engineering culture: 4.4 Glassdoor, fully remote, open-source. See 19 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/posthog
Markdown: https://jobsbyculture.com/companies/posthog.md
Last updated: 2026-07-14

---
![PostHog logo](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

# PostHog

Open-Source Product Analytics — Build Better Products with Data You Own

The consensus on PostHog: Choose PostHog if you want radical transparency, open-source impact, and strong WLB — but expect a small team with limited career ladders.

2020

Founded

San Francisco

HQ (Fully Remote)

~200

Employees

$1.4B

Valuation (2025)

Free Work at PostHog? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at PostHog

Founded in 2020 by James Hawkins and Tim Glaser, PostHog is an open-source product analytics platform built for developers. The culture is radically transparent — public handbook, open salaries, and all code in the open. With a fully remote team across 30+ countries, PostHog operates async-first with small, autonomous pods where engineers own features end-to-end. Expect a flat hierarchy, massive ownership, and the freedom to ship without asking permission.

[Open Source](https://jobsbyculture.com/values/open-source) [Transparent](https://jobsbyculture.com/values/transparent) [Async-First](https://jobsbyculture.com/values/async) [Remote-Friendly](https://jobsbyculture.com/values/remote) [Flat Hierarchy](https://jobsbyculture.com/values/flat) [Wears Many Hats](https://jobsbyculture.com/values/many-hats)

Glassdoor Ratings

## PostHog Glassdoor Ratings & _Employee Reviews_

4.4

Overall Glassdoor Score

Based on 8 reviews

Culture & Values 4.0

Compensation & Benefits 4.8

Senior Management 3.8

Career Opportunities 3.9

Work-Life Balance 4.5

Overall Rating 4.4

80% Recommend to a Friend

100% CEO Approval (James Hawkins)

Employee Review Themes

## Working at PostHog: _Pros & Cons_

### ✓ What employees love

-   ✓ Extreme transparency — public handbook, open salaries, open-source everything
-   ✓ Generous compensation with competitive pay, equity, and $200/mo co-working stipend
-   ✓ Fully remote with genuine async-first culture across 30+ countries
-   ✓ Ship directly to millions of developers — PostHog has 70k+ GitHub stars
-   ✓ Small team, massive ownership — no permission needed to ship features

### ✗ What could be better

-   ✗ Small team means limited career progression paths and few promotion opportunities
-   ✗ Top-down decision-making can sometimes override team consensus
-   ✗ D&I rated 3.4/5 — social and emotional well-being could be a bigger priority
-   ✗ Open-source model means working in public — not for those who prefer privacy

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

TypeScript Python React Django ClickHouse Kafka PostgreSQL

#### Open Source & Research

Everything is open-source (70k+ GitHub stars). Public handbook, public roadmap, open salaries. Active community with 10k+ Slack members.

#### Engineering Blog

Active engineering blog covering data pipelines, ClickHouse optimization, and product analytics at scale. [Read the blog →](https://posthog.com/blog?ref=jobsbyculture.com)

#### Team Structure

Fully remote, small-team pods with extreme autonomy. No managers for most teams — IC-led with a flat structure. Engineers own features end-to-end.

Open Positions

## Join the _PostHog_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=posthog)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ The AI Talent War in 2026: 1.6M Open Roles, 518K Qualified Candidates](https://jobsbyculture.com/blog/ai-talent-war-2026)
-   [→ Anthropic Glassdoor Reviews Decoded 2026: What 150+ Employees Actually Say](https://jobsbyculture.com/blog/anthropic-glassdoor-reviews-decoded-2026)
-   [→ Is Anthropic Remote? Only ~8% of Roles Are in 2026 (Real Policy + Alternatives)](https://jobsbyculture.com/blog/anthropic-remote-work-policy-2026)

### Compare PostHog

-   [→ PostHog vs Abridge](https://jobsbyculture.com/compare/abridge-vs-posthog)
-   [→ PostHog vs Adyen](https://jobsbyculture.com/compare/adyen-vs-posthog)
-   [→ PostHog vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-posthog)
-   [→ PostHog vs Airtable](https://jobsbyculture.com/compare/airtable-vs-posthog)
-   [→ PostHog vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-posthog)
-   [→ PostHog vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-posthog)
-   [→ PostHog vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-posthog)
-   [→ PostHog vs Asana](https://jobsbyculture.com/compare/asana-vs-posthog)
-   [→ PostHog vs Baseten](https://jobsbyculture.com/compare/baseten-vs-posthog)
-   [→ PostHog vs Brex](https://jobsbyculture.com/compare/brex-vs-posthog)
-   [→ PostHog vs Celonis](https://jobsbyculture.com/compare/celonis-vs-posthog)
-   [→ PostHog vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-posthog)
-   [→ PostHog vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-posthog)
-   [→ PostHog vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-posthog)
-   [→ PostHog vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-posthog)
-   [→ PostHog vs Cohere](https://jobsbyculture.com/compare/cohere-vs-posthog)
-   [→ PostHog vs Contentful](https://jobsbyculture.com/compare/contentful-vs-posthog)
-   [→ PostHog vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-posthog)
-   [→ PostHog vs Cresta](https://jobsbyculture.com/compare/cresta-vs-posthog)
-   [→ PostHog vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-posthog)
-   [→ PostHog vs Cursor](https://jobsbyculture.com/compare/cursor-vs-posthog)
-   [→ PostHog vs Databricks](https://jobsbyculture.com/compare/databricks-vs-posthog)
-   [→ PostHog vs Datadog](https://jobsbyculture.com/compare/datadog-vs-posthog)
-   [→ PostHog vs Decagon](https://jobsbyculture.com/compare/decagon-vs-posthog)
-   [→ PostHog vs DeepL](https://jobsbyculture.com/compare/deepl-vs-posthog)
-   [→ PostHog vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-posthog)
-   [→ PostHog vs Descript](https://jobsbyculture.com/compare/descript-vs-posthog)
-   [→ PostHog vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-posthog)
-   [→ PostHog vs Elastic](https://jobsbyculture.com/compare/elastic-vs-posthog)
-   [→ PostHog vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-posthog)
-   [→ PostHog vs Figma](https://jobsbyculture.com/compare/figma-vs-posthog)
-   [→ PostHog vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-posthog)
-   [→ PostHog vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-posthog)
-   [→ PostHog vs Glean](https://jobsbyculture.com/compare/glean-vs-posthog)
-   [→ PostHog vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-posthog)
-   [→ PostHog vs Granola](https://jobsbyculture.com/compare/granola-vs-posthog)
-   [→ PostHog vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-posthog)
-   [→ PostHog vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-posthog)
-   [→ PostHog vs Helsing](https://jobsbyculture.com/compare/helsing-vs-posthog)
-   [→ PostHog vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-posthog)
-   [→ PostHog vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-posthog)
-   [→ PostHog vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-posthog)
-   [→ PostHog vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-posthog)
-   [→ PostHog vs Lambda](https://jobsbyculture.com/compare/lambda-vs-posthog)
-   [→ PostHog vs LangChain](https://jobsbyculture.com/compare/langchain-vs-posthog)
-   [→ PostHog vs Linear](https://jobsbyculture.com/compare/linear-vs-posthog)
-   [→ PostHog vs Lovable](https://jobsbyculture.com/compare/lovable-vs-posthog)
-   [→ PostHog vs Mercor](https://jobsbyculture.com/compare/mercor-vs-posthog)
-   [→ PostHog vs Mercury](https://jobsbyculture.com/compare/mercury-vs-posthog)
-   [→ PostHog vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-posthog)
-   [→ PostHog vs Modal](https://jobsbyculture.com/compare/modal-vs-posthog)
-   [→ PostHog vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-posthog)
-   [→ PostHog vs n8n](https://jobsbyculture.com/compare/n8n-vs-posthog)
-   [→ PostHog vs Navan](https://jobsbyculture.com/compare/navan-vs-posthog)
-   [→ PostHog vs Notion](https://jobsbyculture.com/compare/notion-vs-posthog)
-   [→ PostHog vs OpenAI](https://jobsbyculture.com/compare/openai-vs-posthog)
-   [→ PostHog vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-posthog)
-   [→ PostHog vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-posthog)
-   [→ PostHog vs Plaid](https://jobsbyculture.com/compare/plaid-vs-posthog)
-   [→ PostHog vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-posthog)
-   [→ PostHog vs Pylon](https://jobsbyculture.com/compare/posthog-vs-pylon)
-   [→ PostHog vs Ramp](https://jobsbyculture.com/compare/posthog-vs-ramp)
-   [→ PostHog vs Replit](https://jobsbyculture.com/compare/posthog-vs-replit)
-   [→ PostHog vs Runway](https://jobsbyculture.com/compare/posthog-vs-runway)
-   [→ PostHog vs Samsara](https://jobsbyculture.com/compare/posthog-vs-samsara)
-   [→ PostHog vs Scale AI](https://jobsbyculture.com/compare/posthog-vs-scale)
-   [→ PostHog vs Sierra AI](https://jobsbyculture.com/compare/posthog-vs-sierra)
-   [→ PostHog vs Snowflake](https://jobsbyculture.com/compare/posthog-vs-snowflake)
-   [→ PostHog vs Stripe](https://jobsbyculture.com/compare/posthog-vs-stripe)
-   [→ PostHog vs Suno](https://jobsbyculture.com/compare/posthog-vs-suno)
-   [→ PostHog vs Supabase](https://jobsbyculture.com/compare/posthog-vs-supabase)
-   [→ PostHog vs Synthesia](https://jobsbyculture.com/compare/posthog-vs-synthesia)
-   [→ PostHog vs Tailscale](https://jobsbyculture.com/compare/posthog-vs-tailscale)
-   [→ PostHog vs Together AI](https://jobsbyculture.com/compare/posthog-vs-together)
-   [→ PostHog vs Twilio](https://jobsbyculture.com/compare/posthog-vs-twilio)
-   [→ PostHog vs Vanta](https://jobsbyculture.com/compare/posthog-vs-vanta)
-   [→ PostHog vs Vast AI](https://jobsbyculture.com/compare/posthog-vs-vast)
-   [→ PostHog vs Vercel](https://jobsbyculture.com/compare/posthog-vs-vercel)
-   [→ PostHog vs Wayve](https://jobsbyculture.com/compare/posthog-vs-wayve)
-   [→ PostHog vs Weaviate](https://jobsbyculture.com/compare/posthog-vs-weaviate)
-   [→ PostHog vs Webflow](https://jobsbyculture.com/compare/posthog-vs-webflow)
-   [→ PostHog vs Writer](https://jobsbyculture.com/compare/posthog-vs-writer)



🏢

### Claim _PostHog_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Pylon Culture & Jobs | JobsByCulture

# Pylon Culture & Jobs | JobsByCulture

> Pylon culture: 4.3 Glassdoor, YC + a16z backed, B2B support. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/pylon
Markdown: https://jobsbyculture.com/companies/pylon.md
Last updated: 2026-07-14

---
![Pylon logo](https://www.google.com/s2/favicons?domain=usepylon.com&sz=128)

# Pylon

B2B Customer Support Platform — The Only Support Platform Built for B2B

The consensus on Pylon: Choose Pylon if you want YC + a16z backing, extreme ownership at a tiny startup, and strong comp — but expect polarized culture reviews and minimal process.

2022

Founded

San Francisco

Headquarters

~130

Employees

YC W23, a16z

Backing

Free Work at Pylon? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Pylon

Founded in 2022 and backed by Y Combinator (W23) and a16z, Pylon is building the category-defining B2B customer support platform. The culture is engineering-driven with a flat hierarchy where everyone wears multiple hats. At ~130 employees, expect extreme ownership, startup speed, and direct product impact — but Glassdoor reviews are polarized, with only 4 ratings split between 5.0 and 1.0 scores.

[Ship Fast](https://jobsbyculture.com/values/ship-fast) [Many Hats](https://jobsbyculture.com/values/many-hats) [Product Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Pylon Glassdoor Ratings & _Employee Reviews_

4.3

Overall Glassdoor Score

Based on 15 reviews

Culture & Values 3.7

Compensation & Benefits 4.7

Senior Management 4.7

Career Opportunities 4.7

Work-Life Balance 4.0

Overall Rating 4.3

100% Recommend to a Friend

CEO: Marty Kausas (CEO & Co-Founder)

Employee Review Themes

## Working at Pylon: _Pros & Cons_

### ✓ What employees love

-   ✓ YC + a16z backed with strong product-market fit in B2B customer support
-   ✓ Small team with outsized ownership — every engineer directly shapes the product
-   ✓ Compensation & benefits rated 4.7/5 — top-tier for a startup this size
-   ✓ Rapid growth trajectory — building the category-defining B2B support tool
-   ✓ San Francisco-based with access to a world-class startup ecosystem

### ✗ What could be better

-   ✗ Very early-stage with minimal processes and no established career ladders
-   ✗ Fast pace may not suit everyone — expect startup intensity
-   ✗ Small team means wearing many hats — limited specialization opportunities

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

TypeScript React Node.js PostgreSQL AWS

#### Open Source & Research

Focused on building B2B support integrations (Slack, Teams, email, in-app). Building proprietary AI agent for B2B ticketing workflows.

#### Engineering Blog

Early-stage company sharing learnings on B2B support, Slack-first workflows, and startup building. [Visit Pylon →](https://usepylon.com?ref=jobsbyculture.com)

#### Team Structure

Very small, flat team in San Francisco. Engineers own features end-to-end. Startup speed with high expectations. Every team member wears multiple hats.

Open Positions

## Join the _Pylon_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=pylon)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Best AI Companies for WLB in SF (2026)](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-san-francisco-2026)
-   [→ 50+ Culture-Fit Interview Questions That Actually Predict Fit (2026)](https://jobsbyculture.com/blog/culture-fit-interview-questions)
-   [→ AI Employer Brand Benchmarks 2026: Median 4.2 Glassdoor, 3.8 WLB Across 118 Companies](https://jobsbyculture.com/blog/employer-brand-benchmarks-ai-2026)

### Compare Pylon

-   [→ Pylon vs Abridge](https://jobsbyculture.com/compare/abridge-vs-pylon)
-   [→ Pylon vs Adyen](https://jobsbyculture.com/compare/adyen-vs-pylon)
-   [→ Pylon vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-pylon)
-   [→ Pylon vs Airtable](https://jobsbyculture.com/compare/airtable-vs-pylon)
-   [→ Pylon vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-pylon)
-   [→ Pylon vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-pylon)
-   [→ Pylon vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-pylon)
-   [→ Pylon vs Asana](https://jobsbyculture.com/compare/asana-vs-pylon)
-   [→ Pylon vs Baseten](https://jobsbyculture.com/compare/baseten-vs-pylon)
-   [→ Pylon vs Brex](https://jobsbyculture.com/compare/brex-vs-pylon)
-   [→ Pylon vs Celonis](https://jobsbyculture.com/compare/celonis-vs-pylon)
-   [→ Pylon vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-pylon)
-   [→ Pylon vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-pylon)
-   [→ Pylon vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-pylon)
-   [→ Pylon vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-pylon)
-   [→ Pylon vs Cohere](https://jobsbyculture.com/compare/cohere-vs-pylon)
-   [→ Pylon vs Contentful](https://jobsbyculture.com/compare/contentful-vs-pylon)
-   [→ Pylon vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-pylon)
-   [→ Pylon vs Cresta](https://jobsbyculture.com/compare/cresta-vs-pylon)
-   [→ Pylon vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-pylon)
-   [→ Pylon vs Cursor](https://jobsbyculture.com/compare/cursor-vs-pylon)
-   [→ Pylon vs Databricks](https://jobsbyculture.com/compare/databricks-vs-pylon)
-   [→ Pylon vs Datadog](https://jobsbyculture.com/compare/datadog-vs-pylon)
-   [→ Pylon vs Decagon](https://jobsbyculture.com/compare/decagon-vs-pylon)
-   [→ Pylon vs DeepL](https://jobsbyculture.com/compare/deepl-vs-pylon)
-   [→ Pylon vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-pylon)
-   [→ Pylon vs Descript](https://jobsbyculture.com/compare/descript-vs-pylon)
-   [→ Pylon vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-pylon)
-   [→ Pylon vs Elastic](https://jobsbyculture.com/compare/elastic-vs-pylon)
-   [→ Pylon vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-pylon)
-   [→ Pylon vs Figma](https://jobsbyculture.com/compare/figma-vs-pylon)
-   [→ Pylon vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-pylon)
-   [→ Pylon vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-pylon)
-   [→ Pylon vs Glean](https://jobsbyculture.com/compare/glean-vs-pylon)
-   [→ Pylon vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-pylon)
-   [→ Pylon vs Granola](https://jobsbyculture.com/compare/granola-vs-pylon)
-   [→ Pylon vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-pylon)
-   [→ Pylon vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-pylon)
-   [→ Pylon vs Helsing](https://jobsbyculture.com/compare/helsing-vs-pylon)
-   [→ Pylon vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-pylon)
-   [→ Pylon vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-pylon)
-   [→ Pylon vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-pylon)
-   [→ Pylon vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-pylon)
-   [→ Pylon vs Lambda](https://jobsbyculture.com/compare/lambda-vs-pylon)
-   [→ Pylon vs LangChain](https://jobsbyculture.com/compare/langchain-vs-pylon)
-   [→ Pylon vs Linear](https://jobsbyculture.com/compare/linear-vs-pylon)
-   [→ Pylon vs Lovable](https://jobsbyculture.com/compare/lovable-vs-pylon)
-   [→ Pylon vs Mercor](https://jobsbyculture.com/compare/mercor-vs-pylon)
-   [→ Pylon vs Mercury](https://jobsbyculture.com/compare/mercury-vs-pylon)
-   [→ Pylon vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-pylon)
-   [→ Pylon vs Modal](https://jobsbyculture.com/compare/modal-vs-pylon)
-   [→ Pylon vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-pylon)
-   [→ Pylon vs n8n](https://jobsbyculture.com/compare/n8n-vs-pylon)
-   [→ Pylon vs Navan](https://jobsbyculture.com/compare/navan-vs-pylon)
-   [→ Pylon vs Notion](https://jobsbyculture.com/compare/notion-vs-pylon)
-   [→ Pylon vs OpenAI](https://jobsbyculture.com/compare/openai-vs-pylon)
-   [→ Pylon vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-pylon)
-   [→ Pylon vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-pylon)
-   [→ Pylon vs Plaid](https://jobsbyculture.com/compare/plaid-vs-pylon)
-   [→ Pylon vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-pylon)
-   [→ Pylon vs PostHog](https://jobsbyculture.com/compare/posthog-vs-pylon)
-   [→ Pylon vs Ramp](https://jobsbyculture.com/compare/pylon-vs-ramp)
-   [→ Pylon vs Replit](https://jobsbyculture.com/compare/pylon-vs-replit)
-   [→ Pylon vs Runway](https://jobsbyculture.com/compare/pylon-vs-runway)
-   [→ Pylon vs Samsara](https://jobsbyculture.com/compare/pylon-vs-samsara)
-   [→ Pylon vs Scale AI](https://jobsbyculture.com/compare/pylon-vs-scale)
-   [→ Pylon vs Sierra AI](https://jobsbyculture.com/compare/pylon-vs-sierra)
-   [→ Pylon vs Snowflake](https://jobsbyculture.com/compare/pylon-vs-snowflake)
-   [→ Pylon vs Stripe](https://jobsbyculture.com/compare/pylon-vs-stripe)
-   [→ Pylon vs Suno](https://jobsbyculture.com/compare/pylon-vs-suno)
-   [→ Pylon vs Supabase](https://jobsbyculture.com/compare/pylon-vs-supabase)
-   [→ Pylon vs Synthesia](https://jobsbyculture.com/compare/pylon-vs-synthesia)
-   [→ Pylon vs Tailscale](https://jobsbyculture.com/compare/pylon-vs-tailscale)
-   [→ Pylon vs Together AI](https://jobsbyculture.com/compare/pylon-vs-together)
-   [→ Pylon vs Twilio](https://jobsbyculture.com/compare/pylon-vs-twilio)
-   [→ Pylon vs Vanta](https://jobsbyculture.com/compare/pylon-vs-vanta)
-   [→ Pylon vs Vast AI](https://jobsbyculture.com/compare/pylon-vs-vast)
-   [→ Pylon vs Vercel](https://jobsbyculture.com/compare/pylon-vs-vercel)
-   [→ Pylon vs Wayve](https://jobsbyculture.com/compare/pylon-vs-wayve)
-   [→ Pylon vs Weaviate](https://jobsbyculture.com/compare/pylon-vs-weaviate)
-   [→ Pylon vs Webflow](https://jobsbyculture.com/compare/pylon-vs-webflow)
-   [→ Pylon vs Writer](https://jobsbyculture.com/compare/pylon-vs-writer)



🏢

### Claim _Pylon_

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## Document: Ramp Culture & Jobs | JobsByCulture

# Ramp Culture & Jobs | JobsByCulture

> Ramp engineering culture: 4.2 Glassdoor, $213K-$603K TC, AI-powered corporate finance. See 129 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/ramp
Markdown: https://jobsbyculture.com/companies/ramp.md
Last updated: 2026-07-14

---
![Ramp logo](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

# Ramp

AI-Powered Corporate Finance — Corporate Card, Expense Management, and Procurement

The consensus on Ramp: Choose Ramp if you want best-in-class fintech comp, exceptional colleagues, and high ownership shipping products that affect real businesses — but expect intense velocity and long hours.

2019

Founded

New York

Headquarters

~3,000+

Employees

$32B

Valuation (2025)

Free Work at Ramp? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Ramp

Founded in 2019 by Eric Glyman (CEO) and Karim Atiyeh (CTO), Ramp is one of the fastest-growing fintech companies in history, surpassing $1B ARR and serving tens of thousands of business customers. The culture is high-velocity and engineering-driven, with a PEDD model (Product, Engineering, Design, Data as co-equals). Engineers ship products that affect real businesses and have massive ownership.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven)[Ship Fast](https://jobsbyculture.com/values/ship-fast)[Product Impact](https://jobsbyculture.com/values/product-impact)[AI-Powered](https://jobsbyculture.com/values/eng-driven)[High Ownership](https://jobsbyculture.com/values/many-hats)[Transparent](https://jobsbyculture.com/values/transparent)

Glassdoor Ratings

## Ramp Glassdoor Ratings & _Employee Reviews_

4.2

Overall Glassdoor Score

Based on 179 reviews

Culture & Values4.1

Compensation & Benefits4.6

Career Opportunities4.3

Senior Management3.6

Work-Life Balance3.5

Overall Rating4.2

80% Recommend to a Friend

86% CEO Approval (Eric Glyman)

Employee Review Themes

## Working at Ramp: _Pros & Cons_

### ✓ What employees love

-   ✓Exceptional, kind, and highly talented colleagues across the board
-   ✓Best-in-class compensation rated 4.6/5 — $213K–$603K TC for engineers
-   ✓High ownership — engineers ship products that affect tens of thousands of real businesses quickly
-   ✓Strong career growth (4.3/5) with mentorship and ambitious challenges
-   ✓89% positive business outlook — $32B valuation and $1B ARR momentum

### ✗ What could be better

-   ✗Work-life balance rated 3.5/5 — some roles involve 60+ hour weeks; burnout is mentioned
-   ✗Extreme velocity is non-negotiable — not suited for a measured, sustainable pace
-   ✗Senior management rated 3.6/5 — some managers struggle to buffer from org intensity
-   ✗No formal ERGs; limited structured DEI programming at this stage

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

PythonTypeScriptReactElixirPostgreSQLKafka

#### AI & Data

SnowflakedbtLLMsRAGTemporal

#### Engineering Blog

Active engineering blog with deep dives on Elixir authorization engines, AI policy agents, and RAG-powered merchant matching. [Read the blog →](https://builders.ramp.com/?ref=jobsbyculture.com)

#### Team Structure

PEDD model: Product, Engineering, Design, Data as co-equals. Pod-based teams with PM, tech lead, frontend/backend engineers, analytics engineer, and data scientist.

Open Positions

## Join the _Ramp_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=ramp)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Best AI Tools for Accounting in 2026: 8 Picks by Workflow](https://jobsbyculture.com/blog/ai-tools-accounting-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)

### Compare Ramp

-   [→ Ramp vs Abridge](https://jobsbyculture.com/compare/abridge-vs-ramp)
-   [→ Ramp vs Adyen](https://jobsbyculture.com/compare/adyen-vs-ramp)
-   [→ Ramp vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-ramp)
-   [→ Ramp vs Airtable](https://jobsbyculture.com/compare/airtable-vs-ramp)
-   [→ Ramp vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-ramp)
-   [→ Ramp vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-ramp)
-   [→ Ramp vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-ramp)
-   [→ Ramp vs Asana](https://jobsbyculture.com/compare/asana-vs-ramp)
-   [→ Ramp vs Baseten](https://jobsbyculture.com/compare/baseten-vs-ramp)
-   [→ Ramp vs Brex](https://jobsbyculture.com/compare/brex-vs-ramp)
-   [→ Ramp vs Celonis](https://jobsbyculture.com/compare/celonis-vs-ramp)
-   [→ Ramp vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-ramp)
-   [→ Ramp vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-ramp)
-   [→ Ramp vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-ramp)
-   [→ Ramp vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-ramp)
-   [→ Ramp vs Cohere](https://jobsbyculture.com/compare/cohere-vs-ramp)
-   [→ Ramp vs Contentful](https://jobsbyculture.com/compare/contentful-vs-ramp)
-   [→ Ramp vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-ramp)
-   [→ Ramp vs Cresta](https://jobsbyculture.com/compare/cresta-vs-ramp)
-   [→ Ramp vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-ramp)
-   [→ Ramp vs Cursor](https://jobsbyculture.com/compare/cursor-vs-ramp)
-   [→ Ramp vs Databricks](https://jobsbyculture.com/compare/databricks-vs-ramp)
-   [→ Ramp vs Datadog](https://jobsbyculture.com/compare/datadog-vs-ramp)
-   [→ Ramp vs Decagon](https://jobsbyculture.com/compare/decagon-vs-ramp)
-   [→ Ramp vs DeepL](https://jobsbyculture.com/compare/deepl-vs-ramp)
-   [→ Ramp vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-ramp)
-   [→ Ramp vs Descript](https://jobsbyculture.com/compare/descript-vs-ramp)
-   [→ Ramp vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-ramp)
-   [→ Ramp vs Elastic](https://jobsbyculture.com/compare/elastic-vs-ramp)
-   [→ Ramp vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-ramp)
-   [→ Ramp vs Figma](https://jobsbyculture.com/compare/figma-vs-ramp)
-   [→ Ramp vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-ramp)
-   [→ Ramp vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-ramp)
-   [→ Ramp vs Glean](https://jobsbyculture.com/compare/glean-vs-ramp)
-   [→ Ramp vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-ramp)
-   [→ Ramp vs Granola](https://jobsbyculture.com/compare/granola-vs-ramp)
-   [→ Ramp vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-ramp)
-   [→ Ramp vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-ramp)
-   [→ Ramp vs Helsing](https://jobsbyculture.com/compare/helsing-vs-ramp)
-   [→ Ramp vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-ramp)
-   [→ Ramp vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-ramp)
-   [→ Ramp vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-ramp)
-   [→ Ramp vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-ramp)
-   [→ Ramp vs Lambda](https://jobsbyculture.com/compare/lambda-vs-ramp)
-   [→ Ramp vs LangChain](https://jobsbyculture.com/compare/langchain-vs-ramp)
-   [→ Ramp vs Linear](https://jobsbyculture.com/compare/linear-vs-ramp)
-   [→ Ramp vs Lovable](https://jobsbyculture.com/compare/lovable-vs-ramp)
-   [→ Ramp vs Mercor](https://jobsbyculture.com/compare/mercor-vs-ramp)
-   [→ Ramp vs Mercury](https://jobsbyculture.com/compare/mercury-vs-ramp)
-   [→ Ramp vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-ramp)
-   [→ Ramp vs Modal](https://jobsbyculture.com/compare/modal-vs-ramp)
-   [→ Ramp vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-ramp)
-   [→ Ramp vs n8n](https://jobsbyculture.com/compare/n8n-vs-ramp)
-   [→ Ramp vs Navan](https://jobsbyculture.com/compare/navan-vs-ramp)
-   [→ Ramp vs Notion](https://jobsbyculture.com/compare/notion-vs-ramp)
-   [→ Ramp vs OpenAI](https://jobsbyculture.com/compare/openai-vs-ramp)
-   [→ Ramp vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-ramp)
-   [→ Ramp vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-ramp)
-   [→ Ramp vs Plaid](https://jobsbyculture.com/compare/plaid-vs-ramp)
-   [→ Ramp vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-ramp)
-   [→ Ramp vs PostHog](https://jobsbyculture.com/compare/posthog-vs-ramp)
-   [→ Ramp vs Pylon](https://jobsbyculture.com/compare/pylon-vs-ramp)
-   [→ Ramp vs Replit](https://jobsbyculture.com/compare/ramp-vs-replit)
-   [→ Ramp vs Runway](https://jobsbyculture.com/compare/ramp-vs-runway)
-   [→ Ramp vs Samsara](https://jobsbyculture.com/compare/ramp-vs-samsara)
-   [→ Ramp vs Scale AI](https://jobsbyculture.com/compare/ramp-vs-scale)
-   [→ Ramp vs Sierra AI](https://jobsbyculture.com/compare/ramp-vs-sierra)
-   [→ Ramp vs Snowflake](https://jobsbyculture.com/compare/ramp-vs-snowflake)
-   [→ Ramp vs Stripe](https://jobsbyculture.com/compare/ramp-vs-stripe)
-   [→ Ramp vs Suno](https://jobsbyculture.com/compare/ramp-vs-suno)
-   [→ Ramp vs Supabase](https://jobsbyculture.com/compare/ramp-vs-supabase)
-   [→ Ramp vs Synthesia](https://jobsbyculture.com/compare/ramp-vs-synthesia)
-   [→ Ramp vs Tailscale](https://jobsbyculture.com/compare/ramp-vs-tailscale)
-   [→ Ramp vs Together AI](https://jobsbyculture.com/compare/ramp-vs-together)
-   [→ Ramp vs Twilio](https://jobsbyculture.com/compare/ramp-vs-twilio)
-   [→ Ramp vs Vanta](https://jobsbyculture.com/compare/ramp-vs-vanta)
-   [→ Ramp vs Vast AI](https://jobsbyculture.com/compare/ramp-vs-vast)
-   [→ Ramp vs Vercel](https://jobsbyculture.com/compare/ramp-vs-vercel)
-   [→ Ramp vs Wayve](https://jobsbyculture.com/compare/ramp-vs-wayve)
-   [→ Ramp vs Weaviate](https://jobsbyculture.com/compare/ramp-vs-weaviate)
-   [→ Ramp vs Webflow](https://jobsbyculture.com/compare/ramp-vs-webflow)
-   [→ Ramp vs Writer](https://jobsbyculture.com/compare/ramp-vs-writer)



🏢

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Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

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We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Reddit Glassdoor, Culture & Careers 2026 | JobsByCulture

# Reddit Glassdoor, Culture & Careers 2026 | JobsByCulture

> Reddit company profile: 3.8 Glassdoor, ~2,555 employees, NYSE: RDDT. Culture, work-life balance, compensation, and open roles at the front page of the internet.

Source: https://jobsbyculture.com/companies/reddit
Markdown: https://jobsbyculture.com/companies/reddit.md
Last updated: 2026-07-14

---
![Reddit logo](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

# Reddit

Social News & Discussion Platform — The Front Page of the Internet

The consensus on Reddit: Choose Reddit if you want public-company equity, massive-scale engineering challenges, and direct impact on a platform used by hundreds of millions — but brace for organizational turbulence.

2005

Founded

San Francisco

Headquarters

~2,555

Employees

NYSE: RDDT

Public Company

Free Work at Reddit? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Reddit

Founded in 2005 by Steve Huffman and Alexis Ohanian, Reddit is the social news aggregation and discussion platform known as "the front page of the internet." Reddit went public on NYSE (RDDT) in March 2024. The engineering culture centers on massive-scale infrastructure challenges — serving hundreds of millions of daily active users across communities spanning every topic imaginable. Engineers ship features with direct, measurable impact on one of the world's largest platforms, though the organization has navigated significant restructuring and strategic shifts in recent years.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Strong Equity](https://jobsbyculture.com/values/equity) [Learning Culture](https://jobsbyculture.com/values/learning) [Product-Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Reddit Glassdoor Ratings & _Employee Reviews_

3.8

Overall Glassdoor Score

Based on 431 reviews

Culture & Values 3.6

Work-Life Balance 3.7

Compensation & Benefits 4.3

Career Opportunities 3.6

Overall Rating 3.8

64% Recommend to a Friend

68% Positive Outlook

Employee Review Themes

## Working at Reddit: _Pros & Cons_

### ✓ What employees love

-   ✓ Public company equity (NYSE: RDDT) with strong compensation (4.3/5 on Glassdoor)
-   ✓ Massive user impact — engineers ship features to hundreds of millions of users daily
-   ✓ "Default Open" philosophy — weekly all-hands, internal subreddits for candid Q&A with leadership
-   ✓ Comprehensive benefits: flexible vacation, global days off, extended parental leave, volunteer time

### ✗ What could be better

-   ✗ Shifting strategies, reorganizations, and evolving priorities create uncertainty
-   ✗ Management quality is inconsistent across teams — a common theme in reviews
-   ✗ Recent layoffs and perks reductions alongside evolving priorities
-   ✗ 64% recommend rate — lower than typical for tech at this level

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python Go TypeScript React GraphQL Kubernetes

#### Product

One of the world's largest discussion platforms — massive scale infrastructure serving hundreds of millions of daily active users across hundreds of thousands of communities.

#### AI & ML

ML for recommendations, content moderation, search, and personalization at massive scale. Building AI-powered features to enhance community discovery and content relevance. [Reddit Careers →](https://www.redditinc.com/careers?ref=jobsbyculture.com)

#### Team Structure

Engineers have broad responsibilities with flat-ish structure and few middle management layers. Cross-functional teams own features end-to-end with direct product impact.

Open Positions

## Join the _Reddit_ team

Explore open roles at Reddit below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=reddit)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Reddit Compensation 2026: $278k–$874k+ Total Comp by Level (IC1–IC6)](https://jobsbyculture.com/blog/reddit-compensation-2026)
-   [→ How to Prepare for a Reddit Interview in 2026 — Process, System Design & Culture Tips](https://jobsbyculture.com/blog/reddit-interview-prep-2026)
-   [→ Working at Reddit in 2026: Culture, Compensation & the Public Company Transition](https://jobsbyculture.com/blog/working-at-reddit-2026)



🏢

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We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Replit Culture & Jobs | JobsByCulture

# Replit Culture & Jobs | JobsByCulture

> Replit engineering culture: 4.0 Glassdoor, AI-powered developer tools, 83% recommend. See 99 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/replit
Markdown: https://jobsbyculture.com/companies/replit.md
Last updated: 2026-07-14

---
![Replit logo](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

# Replit

AI-Powered Software Creation — Making Programming Accessible to Everyone

The consensus on Replit: Choose Replit if you want to work on exciting AI developer tools with high autonomy — but expect disorganized operations and intense leadership pressure.

2016

Founded

Foster City, CA

Headquarters

~300+

Employees

$9B

Valuation (2026)

Free Work at Replit? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Replit

Founded in 2016 by Amjad Masad, Replit is building an AI-powered software creation platform that makes programming accessible to everyone. The culture is fast-paced and engineering-driven, with a focus on shipping quickly and iterating. Remote-friendly with high autonomy, but the pace can be intense. Engineers work on cutting-edge AI tools that are changing how people build software.

[Ship Fast](https://jobsbyculture.com/values/ship-fast) [Many Hats](https://jobsbyculture.com/values/many-hats) [Product Impact](https://jobsbyculture.com/values/product-impact) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Social Impact](https://jobsbyculture.com/values/social-impact)

Glassdoor Ratings

## Replit Glassdoor Ratings & _Employee Reviews_

4.0

Overall Glassdoor Score

Based on 20 reviews

Culture & Values 4.2

Career Opportunities 4.5

Work-Life Balance 4.1

Overall Rating 4.0

83% Recommend to a Friend

CEO: Amjad Masad

Employee Review Themes

## Working at Replit: _Pros & Cons_

### ✓ What employees love

-   ✓ Exciting AI-powered developer tools — cool technology on the frontier
-   ✓ Remote-friendly with high autonomy and ownership of your work
-   ✓ Small team where individual contributions are visible and valued
-   ✓ Mission to democratize programming — genuinely impactful product
-   ✓ Strong engineering culture with talented, passionate colleagues

### ✗ What could be better

-   ✗ Disorganized operations — processes can feel chaotic
-   ✗ Leadership style can feel intense — high pressure to deliver
-   ✗ Below-market compensation compared to larger tech companies
-   ✗ Rapid pivots in direction can be disorienting for team members

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

TypeScript Go Python Nix Kubernetes

#### Open Source

Replit's core IDE is built on open-source foundations. Active contributor to developer tools ecosystem. Crosis (client library) is open source.

#### Engineering Blog

Publishes engineering deep dives on AI code generation, infrastructure scaling, and developer experience. [Read the blog →](https://blog.replit.com/?ref=jobsbyculture.com)

#### Team Structure

Small, nimble teams with high ownership. Engineers own features end-to-end. Hybrid-friendly with Foster City office (M/W/F) and remote options.

Open Positions

## Join the _Replit_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=replit)

Explore More

## Related _content_

### Blog Posts

-   [→ How AI Coding Tools Are Reshaping Developer Hiring in 2026](https://jobsbyculture.com/blog/ai-coding-tools-reshaping-developer-hiring-2026)
-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ 50+ AI Engineer Interview Questions in 2026 (Real Questions, Honest Answers)](https://jobsbyculture.com/blog/ai-engineer-interview-questions-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ $300B in Q1 2026: The AI Funding Boom & What It Means for Job Seekers](https://jobsbyculture.com/blog/ai-startup-funding-hiring-2026)

### Compare Replit

-   [→ Replit vs Abridge](https://jobsbyculture.com/compare/abridge-vs-replit)
-   [→ Replit vs Adyen](https://jobsbyculture.com/compare/adyen-vs-replit)
-   [→ Replit vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-replit)
-   [→ Replit vs Airtable](https://jobsbyculture.com/compare/airtable-vs-replit)
-   [→ Replit vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-replit)
-   [→ Replit vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-replit)
-   [→ Replit vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-replit)
-   [→ Replit vs Asana](https://jobsbyculture.com/compare/asana-vs-replit)
-   [→ Replit vs Baseten](https://jobsbyculture.com/compare/baseten-vs-replit)
-   [→ Replit vs Brex](https://jobsbyculture.com/compare/brex-vs-replit)
-   [→ Replit vs Celonis](https://jobsbyculture.com/compare/celonis-vs-replit)
-   [→ Replit vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-replit)
-   [→ Replit vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-replit)
-   [→ Replit vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-replit)
-   [→ Replit vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-replit)
-   [→ Replit vs Cohere](https://jobsbyculture.com/compare/cohere-vs-replit)
-   [→ Replit vs Contentful](https://jobsbyculture.com/compare/contentful-vs-replit)
-   [→ Replit vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-replit)
-   [→ Replit vs Cresta](https://jobsbyculture.com/compare/cresta-vs-replit)
-   [→ Replit vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-replit)
-   [→ Replit vs Cursor](https://jobsbyculture.com/compare/cursor-vs-replit)
-   [→ Replit vs Databricks](https://jobsbyculture.com/compare/databricks-vs-replit)
-   [→ Replit vs Datadog](https://jobsbyculture.com/compare/datadog-vs-replit)
-   [→ Replit vs Decagon](https://jobsbyculture.com/compare/decagon-vs-replit)
-   [→ Replit vs DeepL](https://jobsbyculture.com/compare/deepl-vs-replit)
-   [→ Replit vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-replit)
-   [→ Replit vs Descript](https://jobsbyculture.com/compare/descript-vs-replit)
-   [→ Replit vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-replit)
-   [→ Replit vs Elastic](https://jobsbyculture.com/compare/elastic-vs-replit)
-   [→ Replit vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-replit)
-   [→ Replit vs Figma](https://jobsbyculture.com/compare/figma-vs-replit)
-   [→ Replit vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-replit)
-   [→ Replit vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-replit)
-   [→ Replit vs Glean](https://jobsbyculture.com/compare/glean-vs-replit)
-   [→ Replit vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-replit)
-   [→ Replit vs Granola](https://jobsbyculture.com/compare/granola-vs-replit)
-   [→ Replit vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-replit)
-   [→ Replit vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-replit)
-   [→ Replit vs Helsing](https://jobsbyculture.com/compare/helsing-vs-replit)
-   [→ Replit vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-replit)
-   [→ Replit vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-replit)
-   [→ Replit vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-replit)
-   [→ Replit vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-replit)
-   [→ Replit vs Lambda](https://jobsbyculture.com/compare/lambda-vs-replit)
-   [→ Replit vs LangChain](https://jobsbyculture.com/compare/langchain-vs-replit)
-   [→ Replit vs Linear](https://jobsbyculture.com/compare/linear-vs-replit)
-   [→ Replit vs Lovable](https://jobsbyculture.com/compare/lovable-vs-replit)
-   [→ Replit vs Mercor](https://jobsbyculture.com/compare/mercor-vs-replit)
-   [→ Replit vs Mercury](https://jobsbyculture.com/compare/mercury-vs-replit)
-   [→ Replit vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-replit)
-   [→ Replit vs Modal](https://jobsbyculture.com/compare/modal-vs-replit)
-   [→ Replit vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-replit)
-   [→ Replit vs n8n](https://jobsbyculture.com/compare/n8n-vs-replit)
-   [→ Replit vs Navan](https://jobsbyculture.com/compare/navan-vs-replit)
-   [→ Replit vs Notion](https://jobsbyculture.com/compare/notion-vs-replit)
-   [→ Replit vs OpenAI](https://jobsbyculture.com/compare/openai-vs-replit)
-   [→ Replit vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-replit)
-   [→ Replit vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-replit)
-   [→ Replit vs Plaid](https://jobsbyculture.com/compare/plaid-vs-replit)
-   [→ Replit vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-replit)
-   [→ Replit vs PostHog](https://jobsbyculture.com/compare/posthog-vs-replit)
-   [→ Replit vs Pylon](https://jobsbyculture.com/compare/pylon-vs-replit)
-   [→ Replit vs Ramp](https://jobsbyculture.com/compare/ramp-vs-replit)
-   [→ Replit vs Runway](https://jobsbyculture.com/compare/replit-vs-runway)
-   [→ Replit vs Samsara](https://jobsbyculture.com/compare/replit-vs-samsara)
-   [→ Replit vs Scale AI](https://jobsbyculture.com/compare/replit-vs-scale)
-   [→ Replit vs Sierra AI](https://jobsbyculture.com/compare/replit-vs-sierra)
-   [→ Replit vs Snowflake](https://jobsbyculture.com/compare/replit-vs-snowflake)
-   [→ Replit vs Stripe](https://jobsbyculture.com/compare/replit-vs-stripe)
-   [→ Replit vs Suno](https://jobsbyculture.com/compare/replit-vs-suno)
-   [→ Replit vs Supabase](https://jobsbyculture.com/compare/replit-vs-supabase)
-   [→ Replit vs Synthesia](https://jobsbyculture.com/compare/replit-vs-synthesia)
-   [→ Replit vs Tailscale](https://jobsbyculture.com/compare/replit-vs-tailscale)
-   [→ Replit vs Together AI](https://jobsbyculture.com/compare/replit-vs-together)
-   [→ Replit vs Twilio](https://jobsbyculture.com/compare/replit-vs-twilio)
-   [→ Replit vs Vanta](https://jobsbyculture.com/compare/replit-vs-vanta)
-   [→ Replit vs Vast AI](https://jobsbyculture.com/compare/replit-vs-vast)
-   [→ Replit vs Vercel](https://jobsbyculture.com/compare/replit-vs-vercel)
-   [→ Replit vs Wayve](https://jobsbyculture.com/compare/replit-vs-wayve)
-   [→ Replit vs Weaviate](https://jobsbyculture.com/compare/replit-vs-weaviate)
-   [→ Replit vs Webflow](https://jobsbyculture.com/compare/replit-vs-webflow)
-   [→ Replit vs Writer](https://jobsbyculture.com/compare/replit-vs-writer)



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## Document: Robinhood Glassdoor, Culture & Careers 2026 | JobsByCulture

# Robinhood Glassdoor, Culture & Careers 2026 | JobsByCulture

> Robinhood company profile: 3.6 Glassdoor, ~2,900 employees, $180k–$450k comp. Engineering-driven fintech culture, employee reviews, and 143+ open careers.

Source: https://jobsbyculture.com/companies/robinhood
Markdown: https://jobsbyculture.com/companies/robinhood.md
Last updated: 2026-07-14

---
![Robinhood logo](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

# Robinhood

Democratizing Finance for All — Engineering-Driven Fintech

The consensus on Robinhood: Choose Robinhood if you want strong comp and a real mission building products used by millions — but expect intensity during market events and a culture still rebuilding trust after layoffs.

2013

Founded

Menlo Park

Headquarters

~2,900

Employees

HOOD

NASDAQ (Public)

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Culture Overview

## What it's _really_ like to work at Robinhood

Robinhood was founded by Vlad Tenev and Baiju Bhatt with a simple thesis: financial markets should be accessible to everyone, not just the wealthy. That mission still drives the company. Engineering is the largest department at ~827 people, roughly a third of the workforce, and engineers have genuine influence on product direction. The pace is fast — Robinhood optimizes for speed with lean teams, which means high impact but also high intensity, especially during market events or product launches. Compensation is strong (3.9/5 rated), but the company has been through significant layoffs that have impacted trust in leadership.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Strong Equity](https://jobsbyculture.com/values/equity) [Mission-Driven](https://jobsbyculture.com/values/social-impact)

Glassdoor Ratings

## Robinhood Glassdoor Ratings & _Employee Reviews_

3.6

Overall Glassdoor Score

Based on 893 reviews

Compensation & Benefits 3.9

Culture & Values 3.4

Work-Life Balance 3.3

Career Opportunities 3.2

Overall Rating 3.6

56% Recommend to a Friend

67% Positive Business Outlook

Employee Review Themes

## Working at Robinhood: _Pros & Cons_

### ✓ What employees love

-   ✓ Strong mission — democratizing finance for all, not just the wealthy
-   ✓ Strong compensation and benefits — rated 3.9/5 across roles
-   ✓ Engineering is the largest department — engineers have real influence on product
-   ✓ Smart, talented colleagues working on products that millions of people use daily

### ✗ What could be better

-   ✗ Intense pace during market events and launches — expect long, high-intensity stretches
-   ✗ Multiple rounds of layoffs have eroded trust in leadership and job security
-   ✗ Career growth rated below average at 3.2/5 — limited upward mobility in some areas
-   ✗ Return-to-office policies have been contentious with employees who valued remote flexibility

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python Go Kotlin Swift React

#### Scale

Processing millions of trades per day with strict latency requirements. Robinhood's systems handle real-time market data, order execution, and compliance across equities, options, crypto, and retirement products.

#### Products

Commission-free trading (stocks, options, crypto), Robinhood Gold premium tier, retirement accounts (IRAs), credit card, and cash management. Expanding into international markets.

#### Team Structure

~827 engineers across SF, NYC, Denver, Seattle, and LA. Hybrid model with set in-office days. Engineering teams are organized by product area with significant autonomy on technical decisions.

Open Positions

## Join the _Robinhood_ team

Explore open roles at Robinhood below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=robinhood)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Coinbase Salary 2026: $188K–$547K TC, COIN RSUs & Post-Layoff Reality](https://jobsbyculture.com/blog/coinbase-compensation-2026)
-   [→ Robinhood Compensation in 2026: Engineer Salaries, Equity & Total Comp Breakdown](https://jobsbyculture.com/blog/robinhood-compensation-2026)
-   [→ Working at Robinhood in 2026: Culture, Compensation & What Employees Say](https://jobsbyculture.com/blog/working-at-robinhood-2026)



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## Document: Runway Culture & Jobs | JobsByCulture

# Runway Culture & Jobs | JobsByCulture

> Runway engineering culture: 4.5 Glassdoor, AI video generation pioneer, Gen-3 Alpha. See 0 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/runway
Markdown: https://jobsbyculture.com/companies/runway.md
Last updated: 2026-07-14

---
![Runway logo](https://www.google.com/s2/favicons?domain=runwayml.com&sz=128)

# Runway

AI-Powered Creative Tools — Pioneering Video Generation Technology

The consensus on Runway: Choose Runway if you want to build Gen-3 Alpha at the art-meets-AI frontier — but the space is getting competitive.

2018

Founded

New York

Headquarters

~380

Employees

$5.3B

Valuation (2026)

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Culture Overview

## What it's _really_ like to work at Runway

Founded in 2018 by Cristóbal Valenzuela, Alejandro Matamala-Ortiz, and Anastasis Germanidis at NYU, Runway is an AI-powered creative tools company pioneering video generation technology. The culture is a unique blend of art and engineering, where technical excellence meets aesthetic sensibility. Expect a creative, research-driven environment where tools are built for filmmakers, artists, and creators globally.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Product Impact](https://jobsbyculture.com/values/product-impact) [Learning](https://jobsbyculture.com/values/learning) [Ship Fast](https://jobsbyculture.com/values/ship-fast)

Glassdoor Ratings

## Runway Glassdoor Ratings & _Employee Reviews_

4.5

Overall Glassdoor Score

Based on ~18 reviews

Culture & Values 4.6

Work-Life Balance 4.2

Compensation & Benefits 4.3

Career Opportunities 4.2

Senior Management 4.4

Overall Rating 4.5

90% Recommend to a Friend

90% CEO Approval (Cristóbal Valenzuela)

Employee Review Themes

## Working at Runway: _Pros & Cons_

### ✓ What employees love

-   ✓ Pioneer in AI video generation — Gen-3 Alpha is industry-leading creative AI technology
-   ✓ Unique blend of art and engineering — creative culture that values both technical excellence and aesthetics
-   ✓ Mostly remote-friendly with strong async practices
-   ✓ Strong research output with real product impact — tools used by filmmakers, artists, and creators globally
-   ✓ Thoughtful hiring process that values genuine fit and creativity

### ✗ What could be better

-   ✗ Smaller team (~380) means limited specialization — engineers often wear multiple hats
-   ✗ AI video generation is an increasingly competitive space (Sora, Kling, Pika)
-   ✗ Limited public engineering blog content compared to larger AI companies
-   ✗ New York headquarters can mean fewer roles for those outside the US

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python TypeScript Rust CUDA PyTorch

#### Research & Products

Gen-3 Alpha — state-of-the-art AI video generation model. Research in generative video, audio, language, and reinforcement learning.

#### Creative Platform

Creative tools platform used by millions of creators. Focus on real-time video, physical AI, and multimodal generation. [Explore Runway →](https://runwayml.com/?ref=jobsbyculture.com)

#### Team Structure

Art meets engineering. Small, autonomous teams shipping creative AI tools. Engineers collaborate closely with designers and researchers to push the boundaries of generative media.

Open Positions

## Join the _Runway_ team

Explore all 0 open roles below, or browse the full jobs board for more opportunities.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=runway)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)
-   [→ Best AI Companies for Work-Life Balance in New York (2026)](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-new-york-2026)

### Compare Runway

-   [→ Runway vs Abridge](https://jobsbyculture.com/compare/abridge-vs-runway)
-   [→ Runway vs Adyen](https://jobsbyculture.com/compare/adyen-vs-runway)
-   [→ Runway vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-runway)
-   [→ Runway vs Airtable](https://jobsbyculture.com/compare/airtable-vs-runway)
-   [→ Runway vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-runway)
-   [→ Runway vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-runway)
-   [→ Runway vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-runway)
-   [→ Runway vs Asana](https://jobsbyculture.com/compare/asana-vs-runway)
-   [→ Runway vs Baseten](https://jobsbyculture.com/compare/baseten-vs-runway)
-   [→ Runway vs Brex](https://jobsbyculture.com/compare/brex-vs-runway)
-   [→ Runway vs Celonis](https://jobsbyculture.com/compare/celonis-vs-runway)
-   [→ Runway vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-runway)
-   [→ Runway vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-runway)
-   [→ Runway vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-runway)
-   [→ Runway vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-runway)
-   [→ Runway vs Cohere](https://jobsbyculture.com/compare/cohere-vs-runway)
-   [→ Runway vs Contentful](https://jobsbyculture.com/compare/contentful-vs-runway)
-   [→ Runway vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-runway)
-   [→ Runway vs Cresta](https://jobsbyculture.com/compare/cresta-vs-runway)
-   [→ Runway vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-runway)
-   [→ Runway vs Cursor](https://jobsbyculture.com/compare/cursor-vs-runway)
-   [→ Runway vs Databricks](https://jobsbyculture.com/compare/databricks-vs-runway)
-   [→ Runway vs Datadog](https://jobsbyculture.com/compare/datadog-vs-runway)
-   [→ Runway vs Decagon](https://jobsbyculture.com/compare/decagon-vs-runway)
-   [→ Runway vs DeepL](https://jobsbyculture.com/compare/deepl-vs-runway)
-   [→ Runway vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-runway)
-   [→ Runway vs Descript](https://jobsbyculture.com/compare/descript-vs-runway)
-   [→ Runway vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-runway)
-   [→ Runway vs Elastic](https://jobsbyculture.com/compare/elastic-vs-runway)
-   [→ Runway vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-runway)
-   [→ Runway vs Figma](https://jobsbyculture.com/compare/figma-vs-runway)
-   [→ Runway vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-runway)
-   [→ Runway vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-runway)
-   [→ Runway vs Glean](https://jobsbyculture.com/compare/glean-vs-runway)
-   [→ Runway vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-runway)
-   [→ Runway vs Granola](https://jobsbyculture.com/compare/granola-vs-runway)
-   [→ Runway vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-runway)
-   [→ Runway vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-runway)
-   [→ Runway vs Helsing](https://jobsbyculture.com/compare/helsing-vs-runway)
-   [→ Runway vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-runway)
-   [→ Runway vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-runway)
-   [→ Runway vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-runway)
-   [→ Runway vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-runway)
-   [→ Runway vs Lambda](https://jobsbyculture.com/compare/lambda-vs-runway)
-   [→ Runway vs LangChain](https://jobsbyculture.com/compare/langchain-vs-runway)
-   [→ Runway vs Linear](https://jobsbyculture.com/compare/linear-vs-runway)
-   [→ Runway vs Lovable](https://jobsbyculture.com/compare/lovable-vs-runway)
-   [→ Runway vs Mercor](https://jobsbyculture.com/compare/mercor-vs-runway)
-   [→ Runway vs Mercury](https://jobsbyculture.com/compare/mercury-vs-runway)
-   [→ Runway vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-runway)
-   [→ Runway vs Modal](https://jobsbyculture.com/compare/modal-vs-runway)
-   [→ Runway vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-runway)
-   [→ Runway vs n8n](https://jobsbyculture.com/compare/n8n-vs-runway)
-   [→ Runway vs Navan](https://jobsbyculture.com/compare/navan-vs-runway)
-   [→ Runway vs Notion](https://jobsbyculture.com/compare/notion-vs-runway)
-   [→ Runway vs OpenAI](https://jobsbyculture.com/compare/openai-vs-runway)
-   [→ Runway vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-runway)
-   [→ Runway vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-runway)
-   [→ Runway vs Plaid](https://jobsbyculture.com/compare/plaid-vs-runway)
-   [→ Runway vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-runway)
-   [→ Runway vs PostHog](https://jobsbyculture.com/compare/posthog-vs-runway)
-   [→ Runway vs Pylon](https://jobsbyculture.com/compare/pylon-vs-runway)
-   [→ Runway vs Ramp](https://jobsbyculture.com/compare/ramp-vs-runway)
-   [→ Runway vs Replit](https://jobsbyculture.com/compare/replit-vs-runway)
-   [→ Runway vs Samsara](https://jobsbyculture.com/compare/runway-vs-samsara)
-   [→ Runway vs Scale AI](https://jobsbyculture.com/compare/runway-vs-scale)
-   [→ Runway vs Sierra AI](https://jobsbyculture.com/compare/runway-vs-sierra)
-   [→ Runway vs Snowflake](https://jobsbyculture.com/compare/runway-vs-snowflake)
-   [→ Runway vs Stripe](https://jobsbyculture.com/compare/runway-vs-stripe)
-   [→ Runway vs Suno](https://jobsbyculture.com/compare/runway-vs-suno)
-   [→ Runway vs Supabase](https://jobsbyculture.com/compare/runway-vs-supabase)
-   [→ Runway vs Synthesia](https://jobsbyculture.com/compare/runway-vs-synthesia)
-   [→ Runway vs Tailscale](https://jobsbyculture.com/compare/runway-vs-tailscale)
-   [→ Runway vs Together AI](https://jobsbyculture.com/compare/runway-vs-together)
-   [→ Runway vs Twilio](https://jobsbyculture.com/compare/runway-vs-twilio)
-   [→ Runway vs Vanta](https://jobsbyculture.com/compare/runway-vs-vanta)
-   [→ Runway vs Vast AI](https://jobsbyculture.com/compare/runway-vs-vast)
-   [→ Runway vs Vercel](https://jobsbyculture.com/compare/runway-vs-vercel)
-   [→ Runway vs Wayve](https://jobsbyculture.com/compare/runway-vs-wayve)
-   [→ Runway vs Weaviate](https://jobsbyculture.com/compare/runway-vs-weaviate)
-   [→ Runway vs Webflow](https://jobsbyculture.com/compare/runway-vs-webflow)
-   [→ Runway vs Writer](https://jobsbyculture.com/compare/runway-vs-writer)



🏢

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## Document: Sakana AI Culture & Jobs | JobsByCulture

# Sakana AI Culture & Jobs | JobsByCulture

> Sakana AI engineering culture: nature-inspired AI research lab founded by the co-inventor of Transformers. See open roles in Tokyo.

Source: https://jobsbyculture.com/companies/sakana
Markdown: https://jobsbyculture.com/companies/sakana.md
Last updated: 2026-07-14

---
![Sakana AI logo](https://www.google.com/s2/favicons?domain=sakana.ai&sz=128)

# Sakana AI VERIFIED PROFILE

Nature-Inspired AI Research Lab — Building Foundation Models Through Evolutionary & Swarm Intelligence

The consensus on Sakana AI: A once-in-a-generation research team rethinking AI from first principles. Choose Sakana if you want to work alongside the co-inventor of the Transformer on genuinely novel approaches to intelligence — from Tokyo.

2023

Founded

Tokyo, Japan

Headquarters

~150

Employees

$2.65B+

Valuation (2025)

Free Work at sakana? Claim this profile

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Culture Overview

## What it's _really_ like to work at Sakana AI

Founded in 2023 by David Ha (ex-Google Brain) and Llion Jones (co-inventor of the Transformer architecture at Google), Sakana AI is a Tokyo-based research lab taking a fundamentally different approach to AI. Instead of brute-force scaling, they draw inspiration from nature — evolutionary algorithms, swarm intelligence, and collective behavior — to build foundation models. The result is a small, elite research team working on problems nobody else is tackling, backed by $350M+ in funding from the world's top investors.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Learning & Growth](https://jobsbyculture.com/values/learning) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Ethical AI](https://jobsbyculture.com/values/ethical-ai) [Product Impact](https://jobsbyculture.com/values/product-impact) [Strong Equity](https://jobsbyculture.com/values/equity)

Life at Sakana AI

## Inside the _Tokyo_ office

![Sakana AI Tokyo lobby](https://jobsbyculture.com/images/sakana/lobby.png) ![Meeting room with Tokyo skyline view](https://jobsbyculture.com/images/sakana/meeting-room.png) ![Sakana AI branded office](https://jobsbyculture.com/images/sakana/branded-glass.png) ![Sakana AI digital signage](https://jobsbyculture.com/images/sakana/signage.png)

Founder Spotlight

## Led by _world-class_ AI researchers

Sakana AI's founding team includes some of the most consequential researchers in modern AI history. This isn't a team that read the Transformer paper — they wrote it.

![David Ha, CEO of Sakana AI](https://jobsbyculture.com/images/sakana/david-ha.webp)

Co-Founder & CEO

David Ha

Former Head of Research, Google Brain Japan

David Ha spent years at **Google Brain** leading research in Tokyo, where he pioneered work on neuroevolution and creative AI systems. His research on **World Models** and **weight agnostic neural networks** has been widely cited across the ML community. At Sakana, he's applying nature-inspired principles to build AI systems that are more efficient, adaptive, and robust than brute-force approaches.

TIME100 AI 2025 · Ex-Google Brain Japan Lead · U of Toronto

![Llion Jones, CTO of Sakana AI](https://jobsbyculture.com/images/sakana/llion-jones.png)

Co-Founder & CTO

Llion Jones

Co-Inventor of the Transformer Architecture

Llion Jones is one of the **eight co-authors of "Attention Is All You Need"** — the 2017 paper that introduced the Transformer architecture and fundamentally changed AI. Every major language model (GPT, Claude, Gemini, Llama) is built on his work. After a decade at Google, he co-founded Sakana to explore what comes **after** the Transformer — using evolutionary and biological principles to discover the next paradigm in AI.

Co-author 'Attention Is All You Need' · 10+ years at Google · TED Speaker

![Ren Ito, COO of Sakana AI](https://jobsbyculture.com/images/sakana/ren-ito.jpg)

Co-Founder & COO

Ren Ito

Operations & Business Strategy

Ren Ito brings deep operational expertise and a strong understanding of the **Japanese tech ecosystem**, bridging the gap between cutting-edge AI research and real-world enterprise deployment. His work has been instrumental in securing Sakana's partnerships across Japan and positioning the company as a key player in the country's AI strategy.

Operations leader · Ex-COO Stability AI · Ex-CEO Mercari Europe

Backed By

## $350M+ raised from _top-tier_ investors

$350M+

Total Funding Raised

Valued at $2.65B+ — Japan's leading AI unicorn

![Google](https://www.google.com/s2/favicons?domain=google.com&sz=128) Google

![Khosla Ventures](https://www.google.com/s2/favicons?domain=khoslaventures.com&sz=128) Khosla Ventures

![Salesforce Ventures](https://www.google.com/s2/favicons?domain=salesforce.com&sz=128) Salesforce Ventures

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128) Datadog

![NEA](https://www.google.com/s2/favicons?domain=nea.com&sz=128) NEA

![Lux Capital](https://www.google.com/s2/favicons?domain=lux.capital&sz=128) Lux Capital

Why Sakana AI

## What makes Sakana _different_

In a world of me-too AI startups, Sakana AI stands out with a genuinely differentiated approach to building intelligence.

🌱

#### Nature-Inspired AI

While everyone else scales compute, Sakana draws from evolutionary biology, swarm intelligence, and collective behavior to build AI that's more efficient and adaptive. This isn't marketing — it's their core research thesis.

⚙

#### Transformer-Grade Founders

When your CTO literally co-invented the architecture that powers every major AI model, the research bar is as high as it gets. Sakana attracts talent that wants to work on what comes next.

🏯

#### Tokyo Advantage

Tokyo offers world-class infrastructure, a thriving tech ecosystem, and a cost structure that stretches $350M+ much further than SF or London. Plus, deep integration with Japan's enterprise AI market.

🚀

#### Startup Scale, Unicorn Backing

At ~150 people, every engineer and researcher has direct impact. But with $350M+ in the bank and a $2.65B+ valuation, there's no runway anxiety — just the freedom to do ambitious work.

Culture Ratings

## Sakana AI Culture & _Work Environment_

4.0

Estimated Overall Score

Based on team caliber, funding, and early employee signals

Culture & Values 4.3

Compensation & Benefits 4.2

Senior Management 4.5

Career Opportunities 4.0

Work-Life Balance 3.8

Overall Rating 4.0

Note: Sakana AI is a young company (founded 2023). These ratings are estimated based on team caliber, funding profile, and early signals. Glassdoor data will be incorporated as it becomes available.

Employee Review Themes

## Working at Sakana AI: _Pros & Cons_

### ✓ What stands out

-   ✓ World-class founders — Llion Jones literally co-invented the Transformer architecture that powers all modern AI
-   ✓ Massive funding ($350M+) with Tokyo cost structure means an exceptionally long runway and resource availability
-   ✓ Nature-inspired research approach is genuinely novel — not another GPT wrapper or fine-tuning shop
-   ✓ Small team (~150) means direct access to leadership, real ownership, and high-impact contributions
-   ✓ Strong equity packages at a $2.65B+ unicorn with significant upside potential

### ✗ What could be better

-   ✗ All roles are Tokyo-based — no remote option, which limits the global talent pool
-   ✗ Very early stage (founded 2023) — processes, structures, and career ladders are still forming
-   ✗ Limited public Glassdoor/employee review data available for prospective candidates
-   ✗ Working in Japanese business environment may require adjustment for international hires

Engineering Culture

## How the _research_ team works

#### Research Focus Areas

Evolutionary AI Swarm Intelligence Foundation Models Model Merging

#### Tech Stack

Python PyTorch JAX CUDA

#### Published Research

Sakana publishes peer-reviewed research on evolutionary model merging, nature-inspired optimization, and novel training approaches. Their work on AI-driven scientific discovery has garnered significant attention.

[Visit Sakana AI →](https://sakana.ai/?ref=jobsbyculture.com)

#### Team Structure

Research lab culture with flat hierarchy and small, autonomous teams. Engineers and researchers work directly with the founding team. High ownership, minimal bureaucracy, and a strong emphasis on publishing novel work.

Open Positions

## Join the _Sakana AI_ team

Open positions — all based in Tokyo, Japan.

[

Software Engineer (R&D)

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/software-engineer-research-and-development)[

Software Engineer (Enterprise)

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/software-engineer-enterprise)[

Software Engineer (Defense)

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/software-engineer-defense-and-intelligence)[

Software Engineer (Product)

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/software-engineer-product)[

Software Engineer (Platform)

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/software-engineer-platform)[

Principal Platform Engineer

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/principal-platform-engineer)[

Applied Research Engineer

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/applied-research-engineer)[

Forward Deployed Engineer

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/forward-deployed-engineer)[

Solution Engineer

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/solution-engineer)[

Cybersecurity Engineer

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/cybersecurity-engineer)[

Technical Program Manager

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/technical-program-manager)[

Public Sector Specialist

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/public-sector-specialist)[

Product Manager

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/product-manager)[

Project Manager

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/project-manager)[

Project Manager

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/project-manager-defense-and-intelligence)[

Project Manager

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/project-manager-manufacturing)[

Corporate Development

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/corporate-development)[

Office Assistant

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/office-assistant)[

Recruiter

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/recruiter)[

Communications Manager

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/communications-manager)[

Research Intern

Tokyo, Japan

Apply →

](https://jobsbyculture.com/jobs/sakana/member-of-technical-staff-internship)

[View all 21 Sakana AI roles →](https://jobsbyculture.com/jobs?company=sakana)

Explore More

## Related _content_

### Similar Companies

-   [→ Anthropic — AI Safety Research](https://jobsbyculture.com/companies/anthropic)
-   [→ DeepMind — AI Research Lab](https://jobsbyculture.com/companies/deepmind)
-   [→ Mistral AI — Foundation Models](https://jobsbyculture.com/companies/mistral)
-   [→ Cohere — Enterprise AI](https://jobsbyculture.com/companies/cohere)
-   [→ OpenAI — AI Research](https://jobsbyculture.com/companies/openai)

### Browse by Culture

-   [→ Engineering-Driven Companies](https://jobsbyculture.com/values/eng-driven)
-   [→ Ethical AI Companies](https://jobsbyculture.com/values/ethical-ai)
-   [→ Learning & Growth Culture](https://jobsbyculture.com/values/learning)
-   [→ Ship Fast Culture](https://jobsbyculture.com/values/ship-fast)
-   [→ Strong Equity Companies](https://jobsbyculture.com/values/equity)

🏢

### Claim _sakana_

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We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Samsara Culture & Jobs | JobsByCulture

# Samsara Culture & Jobs | JobsByCulture

> Samsara engineering culture: 4.0 Glassdoor, 3.9 WLB, IoT for physical operations. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/samsara
Markdown: https://jobsbyculture.com/companies/samsara.md
Last updated: 2026-07-14

---
![Samsara logo](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

# Samsara

IoT Platform — Connecting Physical Operations with Data & Analytics

The consensus on Samsara: Strong sales culture and real-world product impact at massive scale, but engineers report significantly worse WLB than the company average suggests.

2015

Founded

San Francisco

Headquarters

~4,100

Employees

Public (IOT)

NYSE

Free Work at Samsara? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Samsara

Samsara is a publicly traded IoT company building connected operations technology for fleet management, safety, and compliance. The sales organization is strong with clear career paths and frequent promotions. However, engineers report a very different experience — WLB ratings for engineering hover around 2.9/5, significantly below the company average. Remote work flexibility exists but can be used to justify always-on availability.

[Product Impact](https://jobsbyculture.com/values/product-impact) [Learning](https://jobsbyculture.com/values/learning) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Samsara Glassdoor Ratings & _Employee Reviews_

4.0

Overall Glassdoor Score

Based on employee reviews

Culture & Values4.1

Compensation & Benefits4.0

Senior Management3.8

Career Opportunities3.8

Work-Life Balance3.9

Overall Rating4.0

80% Recommend to a Friend

84% CEO Approval (Sanjit Biswas)

Employee Review Themes

## Working at Samsara: _Pros & Cons_

### ✓ What employees love

-   ✓Clear career trajectory with frequent promotions in sales
-   ✓Real-world product impact building IoT for physical operations
-   ✓Strong equity upside as a public company with growth ahead

### ✗ What could be better

-   ✗Engineers rate WLB at only 2.9/5 despite company average of 3.9
-   ✗Remote work used to justify overwork including weekends
-   ✗Sales-heavy culture may not suit everyone in engineering

Open Positions

## Join the _Samsara_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=samsara)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Layoffs 2026: 61,000+ Jobs Cut — Who's Actually Hiring](https://jobsbyculture.com/blog/ai-layoffs-2026-who-is-hiring)
-   [→ Oracle Layoffs 2026: 30,000 Jobs Cut — Where to Look Next Based on Culture](https://jobsbyculture.com/blog/oracle-layoffs-2026)
-   [→ Celonis in 2026: 3,800 Employees, $13B Valuation, Salary & Culture](https://jobsbyculture.com/blog/working-at-celonis-2026)

### Compare Samsara

-   [→ Samsara vs Abridge](https://jobsbyculture.com/compare/abridge-vs-samsara)
-   [→ Samsara vs Adyen](https://jobsbyculture.com/compare/adyen-vs-samsara)
-   [→ Samsara vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-samsara)
-   [→ Samsara vs Airtable](https://jobsbyculture.com/compare/airtable-vs-samsara)
-   [→ Samsara vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-samsara)
-   [→ Samsara vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-samsara)
-   [→ Samsara vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-samsara)
-   [→ Samsara vs Asana](https://jobsbyculture.com/compare/asana-vs-samsara)
-   [→ Samsara vs Baseten](https://jobsbyculture.com/compare/baseten-vs-samsara)
-   [→ Samsara vs Brex](https://jobsbyculture.com/compare/brex-vs-samsara)
-   [→ Samsara vs Celonis](https://jobsbyculture.com/compare/celonis-vs-samsara)
-   [→ Samsara vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-samsara)
-   [→ Samsara vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-samsara)
-   [→ Samsara vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-samsara)
-   [→ Samsara vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-samsara)
-   [→ Samsara vs Cohere](https://jobsbyculture.com/compare/cohere-vs-samsara)
-   [→ Samsara vs Contentful](https://jobsbyculture.com/compare/contentful-vs-samsara)
-   [→ Samsara vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-samsara)
-   [→ Samsara vs Cresta](https://jobsbyculture.com/compare/cresta-vs-samsara)
-   [→ Samsara vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-samsara)
-   [→ Samsara vs Cursor](https://jobsbyculture.com/compare/cursor-vs-samsara)
-   [→ Samsara vs Databricks](https://jobsbyculture.com/compare/databricks-vs-samsara)
-   [→ Samsara vs Datadog](https://jobsbyculture.com/compare/datadog-vs-samsara)
-   [→ Samsara vs Decagon](https://jobsbyculture.com/compare/decagon-vs-samsara)
-   [→ Samsara vs DeepL](https://jobsbyculture.com/compare/deepl-vs-samsara)
-   [→ Samsara vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-samsara)
-   [→ Samsara vs Descript](https://jobsbyculture.com/compare/descript-vs-samsara)
-   [→ Samsara vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-samsara)
-   [→ Samsara vs Elastic](https://jobsbyculture.com/compare/elastic-vs-samsara)
-   [→ Samsara vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-samsara)
-   [→ Samsara vs Figma](https://jobsbyculture.com/compare/figma-vs-samsara)
-   [→ Samsara vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-samsara)
-   [→ Samsara vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-samsara)
-   [→ Samsara vs Glean](https://jobsbyculture.com/compare/glean-vs-samsara)
-   [→ Samsara vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-samsara)
-   [→ Samsara vs Granola](https://jobsbyculture.com/compare/granola-vs-samsara)
-   [→ Samsara vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-samsara)
-   [→ Samsara vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-samsara)
-   [→ Samsara vs Helsing](https://jobsbyculture.com/compare/helsing-vs-samsara)
-   [→ Samsara vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-samsara)
-   [→ Samsara vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-samsara)
-   [→ Samsara vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-samsara)
-   [→ Samsara vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-samsara)
-   [→ Samsara vs Lambda](https://jobsbyculture.com/compare/lambda-vs-samsara)
-   [→ Samsara vs LangChain](https://jobsbyculture.com/compare/langchain-vs-samsara)
-   [→ Samsara vs Linear](https://jobsbyculture.com/compare/linear-vs-samsara)
-   [→ Samsara vs Lovable](https://jobsbyculture.com/compare/lovable-vs-samsara)
-   [→ Samsara vs Mercor](https://jobsbyculture.com/compare/mercor-vs-samsara)
-   [→ Samsara vs Mercury](https://jobsbyculture.com/compare/mercury-vs-samsara)
-   [→ Samsara vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-samsara)
-   [→ Samsara vs Modal](https://jobsbyculture.com/compare/modal-vs-samsara)
-   [→ Samsara vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-samsara)
-   [→ Samsara vs n8n](https://jobsbyculture.com/compare/n8n-vs-samsara)
-   [→ Samsara vs Navan](https://jobsbyculture.com/compare/navan-vs-samsara)
-   [→ Samsara vs Notion](https://jobsbyculture.com/compare/notion-vs-samsara)
-   [→ Samsara vs OpenAI](https://jobsbyculture.com/compare/openai-vs-samsara)
-   [→ Samsara vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-samsara)
-   [→ Samsara vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-samsara)
-   [→ Samsara vs Plaid](https://jobsbyculture.com/compare/plaid-vs-samsara)
-   [→ Samsara vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-samsara)
-   [→ Samsara vs PostHog](https://jobsbyculture.com/compare/posthog-vs-samsara)
-   [→ Samsara vs Pylon](https://jobsbyculture.com/compare/pylon-vs-samsara)
-   [→ Samsara vs Ramp](https://jobsbyculture.com/compare/ramp-vs-samsara)
-   [→ Samsara vs Replit](https://jobsbyculture.com/compare/replit-vs-samsara)
-   [→ Samsara vs Runway](https://jobsbyculture.com/compare/runway-vs-samsara)
-   [→ Samsara vs Scale AI](https://jobsbyculture.com/compare/samsara-vs-scale)
-   [→ Samsara vs Sierra AI](https://jobsbyculture.com/compare/samsara-vs-sierra)
-   [→ Samsara vs Snowflake](https://jobsbyculture.com/compare/samsara-vs-snowflake)
-   [→ Samsara vs Stripe](https://jobsbyculture.com/compare/samsara-vs-stripe)
-   [→ Samsara vs Suno](https://jobsbyculture.com/compare/samsara-vs-suno)
-   [→ Samsara vs Supabase](https://jobsbyculture.com/compare/samsara-vs-supabase)
-   [→ Samsara vs Synthesia](https://jobsbyculture.com/compare/samsara-vs-synthesia)
-   [→ Samsara vs Tailscale](https://jobsbyculture.com/compare/samsara-vs-tailscale)
-   [→ Samsara vs Together AI](https://jobsbyculture.com/compare/samsara-vs-together)
-   [→ Samsara vs Twilio](https://jobsbyculture.com/compare/samsara-vs-twilio)
-   [→ Samsara vs Vanta](https://jobsbyculture.com/compare/samsara-vs-vanta)
-   [→ Samsara vs Vast AI](https://jobsbyculture.com/compare/samsara-vs-vast)
-   [→ Samsara vs Vercel](https://jobsbyculture.com/compare/samsara-vs-vercel)
-   [→ Samsara vs Wayve](https://jobsbyculture.com/compare/samsara-vs-wayve)
-   [→ Samsara vs Weaviate](https://jobsbyculture.com/compare/samsara-vs-weaviate)
-   [→ Samsara vs Webflow](https://jobsbyculture.com/compare/samsara-vs-webflow)
-   [→ Samsara vs Writer](https://jobsbyculture.com/compare/samsara-vs-writer)

🏢

### Claim _Samsara_

Take ownership of your company's culture profile.

We'll respond within 24 hours. No spam, ever.

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### Request received!

We'll review your request and get back to you within 24 hours.

---

## Document: Scale AI Culture & Jobs | JobsByCulture

# Scale AI Culture & Jobs | JobsByCulture

> Scale AI engineering culture: 3.5 Glassdoor, AI data infrastructure for OpenAI & Meta. See 183 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/scale
Markdown: https://jobsbyculture.com/companies/scale.md
Last updated: 2026-07-14

---
![Scale AI logo](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

# Scale AI

AI Data Infrastructure — Powering the World's Leading AI Models

The consensus on Scale AI: Choose Scale AI if you want to build data infrastructure for OpenAI and the US government — but expect long hours and inconsistent management.

2016

Founded

San Francisco

Headquarters

~1,200

Employees

$29B

Valuation

Free Work at Scale AI? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Scale AI

Founded in 2016 by Alexandr Wang and Lucy Guo out of Y Combinator, Scale AI is the “picks and shovels” of the AI gold rush — building the critical data infrastructure that powers models from OpenAI, Meta, Microsoft, and the US government. In June 2025 Meta took a 49% non-voting stake in Scale at a $29B valuation, founder Alexandr Wang departed to lead Meta Superintelligence Labs, and Chief Strategy Officer Jason Droege stepped in as Interim CEO. The culture is fast-paced and engineering-driven, with a strong emphasis on shipping product and making real-world impact. Expect driven, ambitious coworkers tackling hard problems at the intersection of data and AI.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Product Impact](https://jobsbyculture.com/values/product-impact) [Learning](https://jobsbyculture.com/values/learning) [Ship Fast](https://jobsbyculture.com/values/ship-fast)

Glassdoor Ratings

## Scale AI Glassdoor Ratings & _Employee Reviews_

3.5

Overall Glassdoor Score

Based on ~400 reviews

Culture & Values 2.9

Compensation & Benefits 3.5

Senior Management 2.8

Career Opportunities 3.6

Work-Life Balance 2.7

Overall Rating 3.5

56% Recommend to a Friend

60% CEO Approval (historical, under founder Alexandr Wang)

Employee Review Themes

## Working at Scale AI: _Pros & Cons_

### ✓ What employees love

-   ✓ Building critical AI data infrastructure used by OpenAI, Meta, Microsoft, and the US government
-   ✓ Strong compensation for engineers — competitive base + equity packages
-   ✓ Career growth opportunities in a rapidly expanding market (3.6/5 career rating)
-   ✓ Smart, driven coworkers solving hard problems at the intersection of data and AI
-   ✓ Unique position in the AI ecosystem — the “picks and shovels” of the AI gold rush

### ✗ What could be better

-   ✗ Work-life balance rated 2.7/5 — long hours are common, especially during client deadlines
-   ✗ Culture and values scored 2.9/5 — some teams report inconsistent management quality
-   ✗ Rapid scaling has led to organizational growing pains and process gaps
-   ✗ Contractor workforce dynamics can create complexity in team structure
-   ✗ July 2025 restructuring cut ~14% of full-time staff and ended work with hundreds of contractors after the Meta deal — some uncertainty about direction under Interim CEO Jason Droege

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python Go TypeScript React

#### AI Data Platform

AI data annotation platform powering major AI labs. Internal ML models for data quality and automation. Focus on RLHF, data labeling, and model evaluation.

#### Key Clients

Works with OpenAI, Meta, Microsoft, and the US government. The critical data layer behind the world’s most advanced AI systems. [Learn more →](https://scale.com/?ref=jobsbyculture.com)

#### Team Structure

Engineering-driven culture focused on shipping fast and iterating on product. Teams work across data labeling, ML automation, and enterprise deployment.

Open Positions

## Join the _Scale AI_ team

... open positions.

🌐 Remote

✕ Clear

[See all 183 Scale AI jobs →](https://jobsbyculture.com/jobs?company=scale)

Explore More

## Related _content_

### Blog Posts

-   [→ Agentic AI Jobs Grew 280% in 2026 — The Roles, Salaries & Companies Hiring Now](https://jobsbyculture.com/blog/agentic-ai-hiring-boom-2026)
-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Engineer Salary Guide 2026: What Companies Actually Pay by Level](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Meta Cuts 8,000 Jobs, Intuit Cuts 3,000: The AI Layoff Paradox of May 2026](https://jobsbyculture.com/blog/ai-layoffs-may-2026-meta-intuit-who-is-hiring)

### Compare Scale AI

-   [→ Scale AI vs Abridge](https://jobsbyculture.com/compare/abridge-vs-scale)
-   [→ Scale AI vs Adyen](https://jobsbyculture.com/compare/adyen-vs-scale)
-   [→ Scale AI vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-scale)
-   [→ Scale AI vs Airtable](https://jobsbyculture.com/compare/airtable-vs-scale)
-   [→ Scale AI vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-scale)
-   [→ Scale AI vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-scale)
-   [→ Scale AI vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-scale)
-   [→ Scale AI vs Asana](https://jobsbyculture.com/compare/asana-vs-scale)
-   [→ Scale AI vs Baseten](https://jobsbyculture.com/compare/baseten-vs-scale)
-   [→ Scale AI vs Brex](https://jobsbyculture.com/compare/brex-vs-scale)
-   [→ Scale AI vs Celonis](https://jobsbyculture.com/compare/celonis-vs-scale)
-   [→ Scale AI vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-scale)
-   [→ Scale AI vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-scale)
-   [→ Scale AI vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-scale)
-   [→ Scale AI vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-scale)
-   [→ Scale AI vs Cohere](https://jobsbyculture.com/compare/cohere-vs-scale)
-   [→ Scale AI vs Contentful](https://jobsbyculture.com/compare/contentful-vs-scale)
-   [→ Scale AI vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-scale)
-   [→ Scale AI vs Cresta](https://jobsbyculture.com/compare/cresta-vs-scale)
-   [→ Scale AI vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-scale)
-   [→ Scale AI vs Cursor](https://jobsbyculture.com/compare/cursor-vs-scale)
-   [→ Scale AI vs Databricks](https://jobsbyculture.com/compare/databricks-vs-scale)
-   [→ Scale AI vs Datadog](https://jobsbyculture.com/compare/datadog-vs-scale)
-   [→ Scale AI vs Decagon](https://jobsbyculture.com/compare/decagon-vs-scale)
-   [→ Scale AI vs DeepL](https://jobsbyculture.com/compare/deepl-vs-scale)
-   [→ Scale AI vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-scale)
-   [→ Scale AI vs Descript](https://jobsbyculture.com/compare/descript-vs-scale)
-   [→ Scale AI vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-scale)
-   [→ Scale AI vs Elastic](https://jobsbyculture.com/compare/elastic-vs-scale)
-   [→ Scale AI vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-scale)
-   [→ Scale AI vs Figma](https://jobsbyculture.com/compare/figma-vs-scale)
-   [→ Scale AI vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-scale)
-   [→ Scale AI vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-scale)
-   [→ Scale AI vs Glean](https://jobsbyculture.com/compare/glean-vs-scale)
-   [→ Scale AI vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-scale)
-   [→ Scale AI vs Granola](https://jobsbyculture.com/compare/granola-vs-scale)
-   [→ Scale AI vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-scale)
-   [→ Scale AI vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-scale)
-   [→ Scale AI vs Helsing](https://jobsbyculture.com/compare/helsing-vs-scale)
-   [→ Scale AI vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-scale)
-   [→ Scale AI vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-scale)
-   [→ Scale AI vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-scale)
-   [→ Scale AI vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-scale)
-   [→ Scale AI vs Lambda](https://jobsbyculture.com/compare/lambda-vs-scale)
-   [→ Scale AI vs LangChain](https://jobsbyculture.com/compare/langchain-vs-scale)
-   [→ Scale AI vs Linear](https://jobsbyculture.com/compare/linear-vs-scale)
-   [→ Scale AI vs Lovable](https://jobsbyculture.com/compare/lovable-vs-scale)
-   [→ Scale AI vs Mercor](https://jobsbyculture.com/compare/mercor-vs-scale)
-   [→ Scale AI vs Mercury](https://jobsbyculture.com/compare/mercury-vs-scale)
-   [→ Scale AI vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-scale)
-   [→ Scale AI vs Modal](https://jobsbyculture.com/compare/modal-vs-scale)
-   [→ Scale AI vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-scale)
-   [→ Scale AI vs n8n](https://jobsbyculture.com/compare/n8n-vs-scale)
-   [→ Scale AI vs Navan](https://jobsbyculture.com/compare/navan-vs-scale)
-   [→ Scale AI vs Notion](https://jobsbyculture.com/compare/notion-vs-scale)
-   [→ Scale AI vs OpenAI](https://jobsbyculture.com/compare/openai-vs-scale)
-   [→ Scale AI vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-scale)
-   [→ Scale AI vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-scale)
-   [→ Scale AI vs Plaid](https://jobsbyculture.com/compare/plaid-vs-scale)
-   [→ Scale AI vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-scale)
-   [→ Scale AI vs PostHog](https://jobsbyculture.com/compare/posthog-vs-scale)
-   [→ Scale AI vs Pylon](https://jobsbyculture.com/compare/pylon-vs-scale)
-   [→ Scale AI vs Ramp](https://jobsbyculture.com/compare/ramp-vs-scale)
-   [→ Scale AI vs Replit](https://jobsbyculture.com/compare/replit-vs-scale)
-   [→ Scale AI vs Runway](https://jobsbyculture.com/compare/runway-vs-scale)
-   [→ Scale AI vs Samsara](https://jobsbyculture.com/compare/samsara-vs-scale)
-   [→ Scale AI vs Databricks](https://jobsbyculture.com/compare/scale-vs-databricks)
-   [→ Scale AI vs Sierra AI](https://jobsbyculture.com/compare/scale-vs-sierra)
-   [→ Scale AI vs Snowflake](https://jobsbyculture.com/compare/scale-vs-snowflake)
-   [→ Scale AI vs Stripe](https://jobsbyculture.com/compare/scale-vs-stripe)
-   [→ Scale AI vs Suno](https://jobsbyculture.com/compare/scale-vs-suno)
-   [→ Scale AI vs Supabase](https://jobsbyculture.com/compare/scale-vs-supabase)
-   [→ Scale AI vs Synthesia](https://jobsbyculture.com/compare/scale-vs-synthesia)
-   [→ Scale AI vs Tailscale](https://jobsbyculture.com/compare/scale-vs-tailscale)
-   [→ Scale AI vs Together AI](https://jobsbyculture.com/compare/scale-vs-together)
-   [→ Scale AI vs Twilio](https://jobsbyculture.com/compare/scale-vs-twilio)
-   [→ Scale AI vs Vanta](https://jobsbyculture.com/compare/scale-vs-vanta)
-   [→ Scale AI vs Vast AI](https://jobsbyculture.com/compare/scale-vs-vast)
-   [→ Scale AI vs Vercel](https://jobsbyculture.com/compare/scale-vs-vercel)
-   [→ Scale AI vs Wayve](https://jobsbyculture.com/compare/scale-vs-wayve)
-   [→ Scale AI vs Weaviate](https://jobsbyculture.com/compare/scale-vs-weaviate)
-   [→ Scale AI vs Webflow](https://jobsbyculture.com/compare/scale-vs-webflow)
-   [→ Scale AI vs Writer](https://jobsbyculture.com/compare/scale-vs-writer)



🏢

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## Document: Sensor Tower Glassdoor, Culture & Careers 2026 | JobsByCulture

# Sensor Tower Glassdoor, Culture & Careers 2026 | JobsByCulture

> Sensor Tower company profile: 3.3 Glassdoor, ~430 employees, mobile & digital intelligence platform. Culture reviews and open careers at Sensor Tower.

Source: https://jobsbyculture.com/companies/sensor-tower
Markdown: https://jobsbyculture.com/companies/sensor-tower.md
Last updated: 2026-07-14

---
![Sensor Tower logo](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

# Sensor Tower

Mobile & Digital Intelligence Platform — Data for App, Ad, and Retail Markets

The consensus on Sensor Tower: data-rich domain with real industry influence and smart colleagues — but leadership instability, a low recommend rate (47%), and inconsistent cultural norms are meaningful red flags to weigh before applying.

2013

Founded

San Francisco

Headquarters

~430

Employees

3.3 / 5

Glassdoor

Free Work at Sensor Tower? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Sensor Tower

Founded in 2013, Sensor Tower is a digital intelligence platform providing insights into mobile apps, advertising spend, retail media, and audience behavior. The platform serves app developers, marketers, and investors who need granular data on app downloads, revenue, ad spend, and user engagement across major channels. Employees in data, analytics, and sales roles report smart colleagues and interesting domain problems. However, reviews consistently flag leadership instability, frequent strategic pivots, poor job security, and a low recommend rate of just 47% — the lowest among companies profiled on this site. Apply with eyes open.

[Product Impact](https://jobsbyculture.com/values/product-impact) [Learning & Growth](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Sensor Tower Glassdoor Ratings & _Employee Reviews_

3.3

Overall Glassdoor Score

Based on 111 reviews

Work-Life Balance 3.4

Culture & Values 3.3

Career Opportunities 3.3

Overall Rating 3.3

47% Recommend to a Friend

Employee Review Themes

## Working at Sensor Tower: _Pros & Cons_

### ✓ What employees say works

-   ✓ Data-rich product with real industry influence across mobile, ad tech, and retail media
-   ✓ Smart colleagues solving complex analytical problems in a growing data intelligence domain
-   ✓ Decent benefits package and competitive starting salary
-   ✓ Growing platform through acquisitions expanding data coverage to retail and advertising

### ✗ Significant concerns

-   ✗ Unstable leadership with frequent strategic pivots — causes anxiety across the organization
-   ✗ Low recommend rate (47%) — among the lowest of any company profiled on this site
-   ✗ Poor job security — frequent departures, unclear expectations, and little growth feedback
-   ✗ Inconsistent remote work policy enforcement; cultural norms described as "toxic" in recent reviews

Product & Domain

## What _Sensor Tower_ does

#### Core Product

Digital intelligence platform aggregating data on app downloads, user engagement, ad spend, impressions, and audience behavior across iOS, Android, and major ad networks.

#### Customers

App developers, marketers, investors, and enterprise teams who need competitive intelligence on mobile app performance, advertising ROI, and market share.

#### Data Coverage

App rankings, revenue metrics, ad spend, impressions, share of voice across major channels. Has expanded into retail media intelligence via acquisitions.

#### Team Fit

Best suited for data engineers, analysts, and sales professionals who care about the mobile/ad intelligence domain and can tolerate organizational uncertainty.

Open Positions

## Join the _Sensor Tower_ team

Explore all open roles at Sensor Tower below.

🌐 Remote

✕ Clear

[Browse all Sensor Tower jobs →](https://jobsbyculture.com/jobs?company=sensor-tower)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ Best AI & Tech Companies for Engineers in 2026](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)

### Browse by Culture Value

-   [→ Product-Impact companies hiring now](https://jobsbyculture.com/jobs?value=product-impact)
-   [→ Learning & Growth companies hiring now](https://jobsbyculture.com/jobs?value=learning)
-   [→ Browse all company profiles](https://jobsbyculture.com/companies)



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## Document: Sierra AI Glassdoor, Culture & Careers 2026 | JobsByCulture

# Sierra AI Glassdoor, Culture & Careers 2026 | JobsByCulture

> Sierra AI company profile: 4.0 Glassdoor, ~500 employees, $15B valuation. Work-life balance, culture reviews, and open careers at the enterprise AI agents company.

Source: https://jobsbyculture.com/companies/sierra
Markdown: https://jobsbyculture.com/companies/sierra.md
Last updated: 2026-07-14

---
![Sierra logo](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

# Sierra

Enterprise AI Agents — Founded by Bret Taylor

The consensus on Sierra: in-person-first culture with elite founders and one of the fastest revenue ramps in enterprise SaaS history — strong equity at a $15B valuation, but expect a demanding pace.

San Francisco

Headquarters

~500

Employees

$150M+

ARR

~$15B

Valuation

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Culture Overview

## What it's _really_ like to work at Sierra

Sierra is building enterprise AI agents, founded in 2023 by Bret Taylor (ex-Salesforce co-CEO) and Clay Bavor (ex-Google VP). The company crossed $100M ARR in roughly seven quarters and reported $150M+ ARR in early 2026, on the back of a $950M Series E that valued Sierra at $15B. The culture is in-person-first, engineering-driven, and fast-moving, with elite founders who have proven track records in building world-class products.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Strong Equity](https://jobsbyculture.com/values/equity) [Learning Culture](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Sierra Glassdoor Ratings & _Employee Reviews_

4.0

Overall Glassdoor Score

Based on 13 reviews — limited volume

Culture & Values4.0

Work-Life Balance3.5

Compensation & Benefits4.2

Career Opportunities3.8

Senior Management4.0

Overall Rating4.0

Employee Review Themes

## Working at Sierra: _Pros & Cons_

### ✓ What employees love

-   ✓Founded by Bret Taylor (ex-Salesforce co-CEO) — elite leadership
-   ✓Crossed $100M ARR in ~7 quarters and continued scaling to $150M+ ARR in early 2026
-   ✓Elite founders with proven track records
-   ✓Strong equity at $15B valuation (May 2026 Series E)

### ✗ What could be better

-   ✗Primarily in-person culture — remote not the default
-   ✗Rapidly scaling org means roles evolving fast
-   ✗In-person-first culture
-   ✗Competitive intensity may not suit everyone

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

PythonTypeScriptAI/ML

#### Product

Enterprise conversational AI agents that handle customer interactions across industries. Trusted by leading brands for customer experience automation.

#### AI & ML

Building conversational AI agents powered by large language models, with enterprise-grade reliability and safety. [Learn more →](https://sierra.ai?ref=jobsbyculture.com)

#### Team Structure

~500 employees with engineering-driven culture. In-person collaboration in San Francisco. Fast-moving teams with strong equity incentives and learning opportunities.

Open Positions

## Join the _Sierra_ team

Explore open roles at Sierra below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=sierra)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Agent Memory Systems: A 2026 Engineering Guide (Letta, LangMem, Mem0, Zep)](https://jobsbyculture.com/blog/ai-agent-memory-systems-guide-2026)
-   [→ $300B in Q1 2026: The AI Funding Boom & What It Means for Job Seekers](https://jobsbyculture.com/blog/ai-startup-funding-hiring-2026)
-   [→ Context Engineering: The 4-Layer Stack That Replaced Prompt Engineering (2026)](https://jobsbyculture.com/blog/context-engineering-guide-2026)
-   [→ Fastest-Growing Tech Companies Hiring in 2026: Who’s Scaling the Fastest](https://jobsbyculture.com/blog/fastest-growing-tech-companies-2026)
-   [→ Forward Deployed Engineer: The Fastest-Growing AI Role in 2026 — What It Is, What It Pays, Who's Hiring](https://jobsbyculture.com/blog/forward-deployed-engineer-boom-2026)

### Compare Sierra AI

-   [→ Sierra AI vs Abridge](https://jobsbyculture.com/compare/abridge-vs-sierra)
-   [→ Sierra AI vs Adyen](https://jobsbyculture.com/compare/adyen-vs-sierra)
-   [→ Sierra AI vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-sierra)
-   [→ Sierra AI vs Airtable](https://jobsbyculture.com/compare/airtable-vs-sierra)
-   [→ Sierra AI vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-sierra)
-   [→ Sierra AI vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-sierra)
-   [→ Sierra AI vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-sierra)
-   [→ Sierra AI vs Asana](https://jobsbyculture.com/compare/asana-vs-sierra)
-   [→ Sierra AI vs Baseten](https://jobsbyculture.com/compare/baseten-vs-sierra)
-   [→ Sierra AI vs Brex](https://jobsbyculture.com/compare/brex-vs-sierra)
-   [→ Sierra AI vs Celonis](https://jobsbyculture.com/compare/celonis-vs-sierra)
-   [→ Sierra AI vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-sierra)
-   [→ Sierra AI vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-sierra)
-   [→ Sierra AI vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-sierra)
-   [→ Sierra AI vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-sierra)
-   [→ Sierra AI vs Cohere](https://jobsbyculture.com/compare/cohere-vs-sierra)
-   [→ Sierra AI vs Contentful](https://jobsbyculture.com/compare/contentful-vs-sierra)
-   [→ Sierra AI vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-sierra)
-   [→ Sierra AI vs Cresta](https://jobsbyculture.com/compare/cresta-vs-sierra)
-   [→ Sierra AI vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-sierra)
-   [→ Sierra AI vs Cursor](https://jobsbyculture.com/compare/cursor-vs-sierra)
-   [→ Sierra AI vs Databricks](https://jobsbyculture.com/compare/databricks-vs-sierra)
-   [→ Sierra AI vs Datadog](https://jobsbyculture.com/compare/datadog-vs-sierra)
-   [→ Sierra AI vs Decagon](https://jobsbyculture.com/compare/decagon-vs-sierra)
-   [→ Sierra AI vs DeepL](https://jobsbyculture.com/compare/deepl-vs-sierra)
-   [→ Sierra AI vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-sierra)
-   [→ Sierra AI vs Descript](https://jobsbyculture.com/compare/descript-vs-sierra)
-   [→ Sierra AI vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-sierra)
-   [→ Sierra AI vs Elastic](https://jobsbyculture.com/compare/elastic-vs-sierra)
-   [→ Sierra AI vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-sierra)
-   [→ Sierra AI vs Figma](https://jobsbyculture.com/compare/figma-vs-sierra)
-   [→ Sierra AI vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-sierra)
-   [→ Sierra AI vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-sierra)
-   [→ Sierra AI vs Glean](https://jobsbyculture.com/compare/glean-vs-sierra)
-   [→ Sierra AI vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-sierra)
-   [→ Sierra AI vs Granola](https://jobsbyculture.com/compare/granola-vs-sierra)
-   [→ Sierra AI vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-sierra)
-   [→ Sierra AI vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-sierra)
-   [→ Sierra AI vs Helsing](https://jobsbyculture.com/compare/helsing-vs-sierra)
-   [→ Sierra AI vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-sierra)
-   [→ Sierra AI vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-sierra)
-   [→ Sierra AI vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-sierra)
-   [→ Sierra AI vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-sierra)
-   [→ Sierra AI vs Lambda](https://jobsbyculture.com/compare/lambda-vs-sierra)
-   [→ Sierra AI vs LangChain](https://jobsbyculture.com/compare/langchain-vs-sierra)
-   [→ Sierra AI vs Linear](https://jobsbyculture.com/compare/linear-vs-sierra)
-   [→ Sierra AI vs Lovable](https://jobsbyculture.com/compare/lovable-vs-sierra)
-   [→ Sierra AI vs Mercor](https://jobsbyculture.com/compare/mercor-vs-sierra)
-   [→ Sierra AI vs Mercury](https://jobsbyculture.com/compare/mercury-vs-sierra)
-   [→ Sierra AI vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-sierra)
-   [→ Sierra AI vs Modal](https://jobsbyculture.com/compare/modal-vs-sierra)
-   [→ Sierra AI vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-sierra)
-   [→ Sierra AI vs n8n](https://jobsbyculture.com/compare/n8n-vs-sierra)
-   [→ Sierra AI vs Navan](https://jobsbyculture.com/compare/navan-vs-sierra)
-   [→ Sierra AI vs Notion](https://jobsbyculture.com/compare/notion-vs-sierra)
-   [→ Sierra AI vs OpenAI](https://jobsbyculture.com/compare/openai-vs-sierra)
-   [→ Sierra AI vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-sierra)
-   [→ Sierra AI vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-sierra)
-   [→ Sierra AI vs Plaid](https://jobsbyculture.com/compare/plaid-vs-sierra)
-   [→ Sierra AI vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-sierra)
-   [→ Sierra AI vs PostHog](https://jobsbyculture.com/compare/posthog-vs-sierra)
-   [→ Sierra AI vs Pylon](https://jobsbyculture.com/compare/pylon-vs-sierra)
-   [→ Sierra AI vs Ramp](https://jobsbyculture.com/compare/ramp-vs-sierra)
-   [→ Sierra AI vs Replit](https://jobsbyculture.com/compare/replit-vs-sierra)
-   [→ Sierra AI vs Runway](https://jobsbyculture.com/compare/runway-vs-sierra)
-   [→ Sierra AI vs Samsara](https://jobsbyculture.com/compare/samsara-vs-sierra)
-   [→ Sierra AI vs Scale AI](https://jobsbyculture.com/compare/scale-vs-sierra)
-   [→ Sierra AI vs Snowflake](https://jobsbyculture.com/compare/sierra-vs-snowflake)
-   [→ Sierra AI vs Stripe](https://jobsbyculture.com/compare/sierra-vs-stripe)
-   [→ Sierra AI vs Suno](https://jobsbyculture.com/compare/sierra-vs-suno)
-   [→ Sierra AI vs Supabase](https://jobsbyculture.com/compare/sierra-vs-supabase)
-   [→ Sierra AI vs Synthesia](https://jobsbyculture.com/compare/sierra-vs-synthesia)
-   [→ Sierra AI vs Tailscale](https://jobsbyculture.com/compare/sierra-vs-tailscale)
-   [→ Sierra AI vs Together AI](https://jobsbyculture.com/compare/sierra-vs-together)
-   [→ Sierra AI vs Twilio](https://jobsbyculture.com/compare/sierra-vs-twilio)
-   [→ Sierra AI vs Vanta](https://jobsbyculture.com/compare/sierra-vs-vanta)
-   [→ Sierra AI vs Vast AI](https://jobsbyculture.com/compare/sierra-vs-vast)
-   [→ Sierra AI vs Vercel](https://jobsbyculture.com/compare/sierra-vs-vercel)
-   [→ Sierra AI vs Wayve](https://jobsbyculture.com/compare/sierra-vs-wayve)
-   [→ Sierra AI vs Weaviate](https://jobsbyculture.com/compare/sierra-vs-weaviate)
-   [→ Sierra AI vs Webflow](https://jobsbyculture.com/compare/sierra-vs-webflow)
-   [→ Sierra AI vs Writer](https://jobsbyculture.com/compare/sierra-vs-writer)



🏢

### Claim _Sierra_

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## Document: Snowflake Glassdoor, Culture & Careers 2026 | JobsByCulture

# Snowflake Glassdoor, Culture & Careers 2026 | JobsByCulture

> Snowflake company profile: 3.7 Glassdoor, ~9,000 employees, NYSE: SNOW. Work-life balance, culture reviews, and open careers at the Data Cloud platform.

Source: https://jobsbyculture.com/companies/snowflake
Markdown: https://jobsbyculture.com/companies/snowflake.md
Last updated: 2026-07-14

---
![Snowflake logo](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

# Snowflake

The Data Cloud — Cloud Data Platform for AI & Analytics

The consensus on Snowflake: Choose Snowflake for massive-scale engineering challenges and top-tier compensation — but be ready for a culture in transition and variable work-life balance.

2012

Founded

Bozeman, MT

Headquarters

~9,000

Employees

NYSE: SNOW

Public Company

Free Work at Snowflake? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Snowflake

Founded in 2012 by Benoit Dageville, Thierry Cruanes, and Marcin Zukowski, Snowflake pioneered the cloud data warehouse by separating storage from compute. Now building the Data Cloud — encompassing data warehousing, data lakes, data sharing, data engineering, and AI/ML across AWS, Azure, and GCP. The engineering culture is technically demanding, centered on large-scale distributed systems. Culture is in transition under CEO Sridhar Ramaswamy (appointed 2024) — there's a strong technical foundation, but employee sentiment is mixed on recent leadership changes and organizational restructuring.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Strong Comp & Equity](https://jobsbyculture.com/values/equity) [Learning & Growth](https://jobsbyculture.com/values/learning) [Ship-Fast](https://jobsbyculture.com/values/ship-fast)

Glassdoor Ratings

## Snowflake Glassdoor Ratings & _Employee Reviews_

3.7

Overall Glassdoor Score

Based on 1,018 reviews

Culture & Values 3.6

Work-Life Balance 3.4

Compensation & Benefits 4.2

Career Opportunities 3.6

Overall Rating 3.7

69% Recommend to a Friend

68% CEO Approval

Employee Review Themes

## Working at Snowflake: _Pros & Cons_

### ✓ What employees love

-   ✓ Massive-scale distributed systems — genuinely hard engineering problems at petabyte scale
-   ✓ Top compensation with strong RSU packages — consistently above-market total comp
-   ✓ Accessible senior leaders — engineers can engage directly with technical leadership
-   ✓ Collaborative engineering culture — strong cross-team knowledge sharing and code reviews

### ✗ What could be better

-   ✗ Culture in transition under new CEO — holiday cuts and organizational changes have impacted morale
-   ✗ Work-life balance varies significantly by team — oncall rotations can be demanding
-   ✗ Heavy quarterly planning overhead — bureaucratic processes that slow down execution
-   ✗ Recent layoffs and restructuring — uncertainty about direction under new leadership

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Java C++ Python SQL

#### Multi-Cloud Architecture

Snowflake runs natively on AWS, Azure, and GCP with a single codebase. Engineers work on cross-cloud infrastructure at massive scale — processing exabytes of data across distributed clusters worldwide.

#### Snowpark & AI/ML

Building Snowpark for AI/ML workloads — enabling data scientists to run Python, Java, and Scala directly in Snowflake's compute layer. Cortex AI brings LLMs to the Data Cloud. [Explore the Data Cloud →](https://www.snowflake.com/en/data-cloud/?ref=jobsbyculture.com)

#### Team Structure

Large engineering organization with specialized teams across query optimization, storage, compute, security, and AI/ML. Teams are organized around product areas with dedicated engineering leads and cross-functional collaboration.

Open Positions

## Join the _Snowflake_ team

Explore open roles at Snowflake below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=snowflake)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ AI Layoffs 2026: 61,000+ Jobs Cut — Who's Actually Hiring](https://jobsbyculture.com/blog/ai-layoffs-2026-who-is-hiring)
-   [→ Context Engineering: The 4-Layer Stack That Replaced Prompt Engineering (2026)](https://jobsbyculture.com/blog/context-engineering-guide-2026)
-   [→ 40 Data Engineer Interview Questions & Answers (2026) — ETL, SQL, Pipelines & System Design](https://jobsbyculture.com/blog/data-engineer-interview-questions-2026)
-   [→ Databricks Number of Employees 2026: How Many People Work at Databricks?](https://jobsbyculture.com/blog/databricks-employee-count-2026)
-   [→ Forward Deployed Engineer: The Fastest-Growing AI Role in 2026 — What It Is, What It Pays, Who's Hiring](https://jobsbyculture.com/blog/forward-deployed-engineer-boom-2026)

### Compare Snowflake

-   [→ Snowflake vs Abridge](https://jobsbyculture.com/compare/abridge-vs-snowflake)
-   [→ Snowflake vs Adyen](https://jobsbyculture.com/compare/adyen-vs-snowflake)
-   [→ Snowflake vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-snowflake)
-   [→ Snowflake vs Airtable](https://jobsbyculture.com/compare/airtable-vs-snowflake)
-   [→ Snowflake vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-snowflake)
-   [→ Snowflake vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-snowflake)
-   [→ Snowflake vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-snowflake)
-   [→ Snowflake vs Asana](https://jobsbyculture.com/compare/asana-vs-snowflake)
-   [→ Snowflake vs Baseten](https://jobsbyculture.com/compare/baseten-vs-snowflake)
-   [→ Snowflake vs Brex](https://jobsbyculture.com/compare/brex-vs-snowflake)
-   [→ Snowflake vs Celonis](https://jobsbyculture.com/compare/celonis-vs-snowflake)
-   [→ Snowflake vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-snowflake)
-   [→ Snowflake vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-snowflake)
-   [→ Snowflake vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-snowflake)
-   [→ Snowflake vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-snowflake)
-   [→ Snowflake vs Cohere](https://jobsbyculture.com/compare/cohere-vs-snowflake)
-   [→ Snowflake vs Contentful](https://jobsbyculture.com/compare/contentful-vs-snowflake)
-   [→ Snowflake vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-snowflake)
-   [→ Snowflake vs Cresta](https://jobsbyculture.com/compare/cresta-vs-snowflake)
-   [→ Snowflake vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-snowflake)
-   [→ Snowflake vs Cursor](https://jobsbyculture.com/compare/cursor-vs-snowflake)
-   [→ Snowflake vs Databricks](https://jobsbyculture.com/compare/databricks-vs-snowflake)
-   [→ Snowflake vs Datadog](https://jobsbyculture.com/compare/datadog-vs-snowflake)
-   [→ Snowflake vs Decagon](https://jobsbyculture.com/compare/decagon-vs-snowflake)
-   [→ Snowflake vs DeepL](https://jobsbyculture.com/compare/deepl-vs-snowflake)
-   [→ Snowflake vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-snowflake)
-   [→ Snowflake vs Descript](https://jobsbyculture.com/compare/descript-vs-snowflake)
-   [→ Snowflake vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-snowflake)
-   [→ Snowflake vs Elastic](https://jobsbyculture.com/compare/elastic-vs-snowflake)
-   [→ Snowflake vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-snowflake)
-   [→ Snowflake vs Figma](https://jobsbyculture.com/compare/figma-vs-snowflake)
-   [→ Snowflake vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-snowflake)
-   [→ Snowflake vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-snowflake)
-   [→ Snowflake vs Glean](https://jobsbyculture.com/compare/glean-vs-snowflake)
-   [→ Snowflake vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-snowflake)
-   [→ Snowflake vs Granola](https://jobsbyculture.com/compare/granola-vs-snowflake)
-   [→ Snowflake vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-snowflake)
-   [→ Snowflake vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-snowflake)
-   [→ Snowflake vs Helsing](https://jobsbyculture.com/compare/helsing-vs-snowflake)
-   [→ Snowflake vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-snowflake)
-   [→ Snowflake vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-snowflake)
-   [→ Snowflake vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-snowflake)
-   [→ Snowflake vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-snowflake)
-   [→ Snowflake vs Lambda](https://jobsbyculture.com/compare/lambda-vs-snowflake)
-   [→ Snowflake vs LangChain](https://jobsbyculture.com/compare/langchain-vs-snowflake)
-   [→ Snowflake vs Linear](https://jobsbyculture.com/compare/linear-vs-snowflake)
-   [→ Snowflake vs Lovable](https://jobsbyculture.com/compare/lovable-vs-snowflake)
-   [→ Snowflake vs Mercor](https://jobsbyculture.com/compare/mercor-vs-snowflake)
-   [→ Snowflake vs Mercury](https://jobsbyculture.com/compare/mercury-vs-snowflake)
-   [→ Snowflake vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-snowflake)
-   [→ Snowflake vs Modal](https://jobsbyculture.com/compare/modal-vs-snowflake)
-   [→ Snowflake vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-snowflake)
-   [→ Snowflake vs n8n](https://jobsbyculture.com/compare/n8n-vs-snowflake)
-   [→ Snowflake vs Navan](https://jobsbyculture.com/compare/navan-vs-snowflake)
-   [→ Snowflake vs Notion](https://jobsbyculture.com/compare/notion-vs-snowflake)
-   [→ Snowflake vs OpenAI](https://jobsbyculture.com/compare/openai-vs-snowflake)
-   [→ Snowflake vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-snowflake)
-   [→ Snowflake vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-snowflake)
-   [→ Snowflake vs Plaid](https://jobsbyculture.com/compare/plaid-vs-snowflake)
-   [→ Snowflake vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-snowflake)
-   [→ Snowflake vs PostHog](https://jobsbyculture.com/compare/posthog-vs-snowflake)
-   [→ Snowflake vs Pylon](https://jobsbyculture.com/compare/pylon-vs-snowflake)
-   [→ Snowflake vs Ramp](https://jobsbyculture.com/compare/ramp-vs-snowflake)
-   [→ Snowflake vs Replit](https://jobsbyculture.com/compare/replit-vs-snowflake)
-   [→ Snowflake vs Runway](https://jobsbyculture.com/compare/runway-vs-snowflake)
-   [→ Snowflake vs Samsara](https://jobsbyculture.com/compare/samsara-vs-snowflake)
-   [→ Snowflake vs Scale AI](https://jobsbyculture.com/compare/scale-vs-snowflake)
-   [→ Snowflake vs Sierra AI](https://jobsbyculture.com/compare/sierra-vs-snowflake)
-   [→ Snowflake vs Databricks](https://jobsbyculture.com/compare/snowflake-vs-databricks)
-   [→ Snowflake vs Stripe](https://jobsbyculture.com/compare/snowflake-vs-stripe)
-   [→ Snowflake vs Suno](https://jobsbyculture.com/compare/snowflake-vs-suno)
-   [→ Snowflake vs Supabase](https://jobsbyculture.com/compare/snowflake-vs-supabase)
-   [→ Snowflake vs Synthesia](https://jobsbyculture.com/compare/snowflake-vs-synthesia)
-   [→ Snowflake vs Tailscale](https://jobsbyculture.com/compare/snowflake-vs-tailscale)
-   [→ Snowflake vs Together AI](https://jobsbyculture.com/compare/snowflake-vs-together)
-   [→ Snowflake vs Twilio](https://jobsbyculture.com/compare/snowflake-vs-twilio)
-   [→ Snowflake vs Vanta](https://jobsbyculture.com/compare/snowflake-vs-vanta)
-   [→ Snowflake vs Vast AI](https://jobsbyculture.com/compare/snowflake-vs-vast)
-   [→ Snowflake vs Vercel](https://jobsbyculture.com/compare/snowflake-vs-vercel)
-   [→ Snowflake vs Wayve](https://jobsbyculture.com/compare/snowflake-vs-wayve)
-   [→ Snowflake vs Weaviate](https://jobsbyculture.com/compare/snowflake-vs-weaviate)
-   [→ Snowflake vs Webflow](https://jobsbyculture.com/compare/snowflake-vs-webflow)
-   [→ Snowflake vs Writer](https://jobsbyculture.com/compare/snowflake-vs-writer)



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## Document: Spotify Glassdoor, Culture & Careers 2026 | JobsByCulture

# Spotify Glassdoor, Culture & Careers 2026 | JobsByCulture

> Spotify company profile: 3.9 Glassdoor, ~7,300 employees, $150k–$400k+ comp. Work-life balance, culture reviews, and open careers at the audio streaming leader.

Source: https://jobsbyculture.com/companies/spotify
Markdown: https://jobsbyculture.com/companies/spotify.md
Last updated: 2026-07-14

---
![Spotify logo](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

# Spotify

Audio Streaming — The World's Most Popular Music Platform

The consensus on Spotify: Choose Spotify for genuine work-life balance and creative engineering autonomy at global scale — but expect slower career ladders and management quality that varies by team.

2006

Founded

Stockholm

Headquarters

~7,300

Employees

NYSE: SPOT

Public Company

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Culture Overview

## What it's _really_ like to work at Spotify

Spotify pioneered the squad model — small, autonomous teams with end-to-end ownership — and while the company has evolved beyond the original whitepaper, the DNA of engineering autonomy remains. At ~7,300 employees across Stockholm, NYC, London, and offices worldwide, Spotify is a place where managers actively ask if you've taken vacation, flexible PTO is genuinely used, and the Work From Anywhere policy gives real geographic freedom. The company's first full-year profit in 2024 marked a turning point, though the 2023 layoffs left scars that are still healing.

[Work-Life Balance](https://jobsbyculture.com/values/wlb) [Flex Hours](https://jobsbyculture.com/values/flex-hours) [Learning & Growth](https://jobsbyculture.com/values/learning) [Strong Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Spotify Glassdoor Ratings & _Employee Reviews_

3.9

Overall Glassdoor Score

Based on 1,737 reviews

Culture & Values 4.1

Work-Life Balance 4.3

Career Opportunities 3.5

Overall Rating 3.9

79% Recommend to a Friend

Employee Review Themes

## Working at Spotify: _Pros & Cons_

### ✓ What employees love

-   ✓ Outstanding work-life balance (4.3/5) — managers actively encourage time off and vacations
-   ✓ Genuine flexibility with Work From Anywhere policy and flexible PTO that people actually use
-   ✓ Culture & values rated 4.1/5 — collaborative, creative, and inclusive environment
-   ✓ Squad model heritage gives engineers real autonomy and ownership over features

### ✗ What could be better

-   ✗ Career opportunities rated 3.5/5 — growth paths can feel slow at this scale
-   ✗ 2023 layoffs (17% of workforce) shook trust despite record profits that followed
-   ✗ Management quality varies significantly by team and tribe — your experience depends on your manager
-   ✗ Company has evolved past the original squad model — some cultural drift from the early days

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Java Python Go React GCP

#### Product

The world's most popular audio streaming platform with 760M+ monthly active users across music, podcasts, and audiobooks. Engineers build features used by hundreds of millions daily.

#### AI & ML

Deep investment in recommendation systems, personalization, and audio intelligence. Teams work on Discover Weekly, AI DJ, and next-generation audio experiences. [Spotify Engineering Blog →](https://engineering.atspotify.com/?ref=jobsbyculture.com)

#### Team Structure

Evolved squad model with autonomous cross-functional teams. Engineers, designers, and PMs collaborate within squads, grouped into tribes. Strong internal mobility between teams.

Open Positions

## Join the _Spotify_ team

Explore open roles at Spotify below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=spotify)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Best Tech Companies for Working Parents in 2026: Parental Leave, Flexibility & Culture](https://jobsbyculture.com/blog/best-tech-companies-for-parents-2026)
-   [→ Best Tech Company Perks in 2026: Beyond Free Lunch (What Actually Matters)](https://jobsbyculture.com/blog/best-tech-office-perks-2026)
-   [→ Dropbox Salary 2026: $179K–$692K TC, RSU Vesting & How It Compares](https://jobsbyculture.com/blog/dropbox-compensation-2026)
-   [→ Meta Interview Prep 2026: Process, Questions & What Changed This Year](https://jobsbyculture.com/blog/meta-interview-prep-2026)
-   [→ Spotify Compensation in 2026: Engineer Salaries, Equity & Total Comp](https://jobsbyculture.com/blog/spotify-compensation-2026)



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## Document: Stability AI Culture & Jobs | JobsByCulture

# Stability AI Culture & Jobs | JobsByCulture

> Stability AI engineering culture: 2.7 Glassdoor, fully remote 4-day work week, creators of Stable Diffusion. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/stabilityai
Markdown: https://jobsbyculture.com/companies/stabilityai.md
Last updated: 2026-07-14

---
![Stability AI logo](https://www.google.com/s2/favicons?domain=stability.ai&sz=128)

# Stability AI

Open-Source Generative AI Pioneer — Creators of Stable Diffusion

Open-source AI pioneers with great remote perks but shaky leadership. Choose Stability AI if you want fully remote work, a 4-day week, and open-source AI impact — but brace for organizational turbulence.

2019

Founded

London

Headquarters

~191

Employees

Fully Remote

4-Day Work Week

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Culture Overview

## What it's _really_ like to work at Stability AI

Stability AI is the company behind Stable Diffusion, one of the most influential open-source AI models ever released. The company also produces Stable Audio, Stable Video, and other generative AI models. Headquartered in London, Stability AI operates fully remote with a 4-day work week — a genuine perk confirmed by multiple reviews.

The culture is a study in contrasts. Employees praise the remote-first flexibility, lack of micromanagement, competitive salaries, and the opportunity to work on genuinely impactful open-source AI. However, leadership has been widely criticized — reviews describe organizational chaos, constant strategy shifts, and a lack of focus. The company has gone through multiple leadership changes and restructurings.

[Remote](https://jobsbyculture.com/values/remote) [Open Source](https://jobsbyculture.com/values/open-source) [Learning & Growth](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Stability AI Glassdoor Ratings & _Employee Reviews_

2.7

Overall Glassdoor Score

Based on ~25 Glassdoor reviews

Culture & Values 3.1

Compensation & Benefits 3.4

Career Opportunities 3.2

Work-Life Balance 3.2

Overall Rating 3.1

43% Recommend to a Friend

53% Positive Business Outlook

Employee Review Themes

## Working at Stability AI: _Pros & Cons_

### ✓ What employees love

-   ✓ Fully remote with a genuine 4-day work week — a rare and valued perk
-   ✓ Creators of Stable Diffusion — one of the most impactful open-source AI projects ever
-   ✓ Competitive salary with huge autonomy and no micromanagement
-   ✓ Friendly, talented, passionate team who care deeply about generative AI

### ✗ What could be better

-   ✗ Leadership and decision-making widely criticized — 2.7/5 overall Glassdoor rating
-   ✗ Organizational chaos — constant restructuring and strategy shifts
-   ✗ Only 43% recommend to a friend — well below industry average
-   ✗ Business outlook uncertain — only 53% of employees are positive

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python PyTorch Diffusion Models CUDA

#### Open Source

Stability AI is a leader in open-source generative AI. Stable Diffusion, Stable Audio, and Stable Video are all released as open models, enabling a massive community of researchers and developers worldwide.

#### Key Products

Stable Diffusion (image generation), Stable Audio (music/sound), Stable Video (video generation), and StableLM (language models). Core focus on making generative AI accessible to everyone.

#### Team Structure

Fully distributed, remote-first team with a 4-day work week. High autonomy with minimal management overhead. Engineers have significant freedom to drive their own projects.

Open Positions

## Join the _Stability AI_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=stabilityai)

Explore More

## Related _content_

### Similar Companies

-   [→ Runway](https://jobsbyculture.com/companies/runway)
-   [→ Hugging Face](https://jobsbyculture.com/companies/huggingface)
-   [→ Mistral AI](https://jobsbyculture.com/companies/mistral)
-   [→ ElevenLabs](https://jobsbyculture.com/companies/elevenlabs)
-   [→ Synthesia](https://jobsbyculture.com/companies/synthesia)

### Browse by Culture

-   [→ Remote-Friendly Companies](https://jobsbyculture.com/values/remote)
-   [→ Open Source Companies](https://jobsbyculture.com/values/open-source)
-   [→ Learning & Growth Companies](https://jobsbyculture.com/values/learning)
-   [→ Product Impact Companies](https://jobsbyculture.com/values/product-impact)

[View all companies →](https://jobsbyculture.com/companies)



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---

## Document: Stripe Culture & Jobs | JobsByCulture

# Stripe Culture & Jobs | JobsByCulture

> Stripe engineering culture: 3.7 Glassdoor, elite writing culture, $159B. See 524 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/stripe
Markdown: https://jobsbyculture.com/companies/stripe.md
Last updated: 2026-07-14

---
![Stripe logo](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

# Stripe

Financial Infrastructure — Elite Engineering & Writing Culture

The consensus on Stripe: Choose Stripe if you want elite engineering culture with top comp — but perfectionism can slow shipping velocity.

2010

Founded by Patrick & John Collison

San Francisco

Headquarters

15,142

Employees

~$159B

Valuation

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Culture Overview

## What it's _really_ like to work at Stripe

Founded in 2010 by Patrick and John Collison, Stripe has built one of the most respected engineering cultures in tech. The company is known for its elite writing culture where design docs and memos drive decisions, its rigorous code review processes, and its long-term thinking approach to building financial infrastructure. Expect intellectual rigor, top-tier compensation, and genuinely hard distributed systems problems at internet scale.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Learning](https://jobsbyculture.com/values/learning) [Equity](https://jobsbyculture.com/values/equity) [Product Impact](https://jobsbyculture.com/values/product-impact) [Transparent](https://jobsbyculture.com/values/transparent)

Glassdoor Ratings

## Stripe Glassdoor Ratings & _Employee Reviews_

3.7

Overall Glassdoor Score

Based on 1,298 reviews

Culture & Values 3.5

Work-Life Balance 3.2

Compensation & Benefits 4.3

Career Opportunities 3.4

Overall Rating 3.7

58% Recommend to a Friend

Employee Review Themes

## Working at Stripe: _Pros & Cons_

### ✓ What employees love

-   ✓ Engineering culture is elite — internal tools, code quality, and writing culture are best-in-class
-   ✓ Top compensation in fintech — competitive base, equity, and benefits
-   ✓ Solving genuinely hard distributed systems problems at massive scale
-   ✓ Intellectual rigor and long-term thinking — decisions are well-reasoned and documented

### ✗ What could be better

-   ✗ Perfectionism can slow shipping — high bar for quality sometimes means slower velocity
-   ✗ The 2022–23 layoffs affected team morale — the company has been working to rebuild confidence
-   ✗ Promotion process is opaque — criteria and timelines can feel unclear
-   ✗ Work-life balance struggles in payments and infrastructure teams

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Ruby Go Java Scala

#### Internal Tools

Built Sorbet, a Ruby type-checker, and a world-class internal API platform. Strong culture of building developer tools that improve engineering velocity.

#### Writing Culture

Design docs and written memos drive all major decisions. Engineers are expected to write clearly and think rigorously before building. [Read the eng blog →](https://stripe.com/blog/engineering?ref=jobsbyculture.com)

#### Team Structure

Well-structured teams with clear ownership areas. Code review is thorough and collaborative. Engineers own their systems end-to-end, from design to production.

Open Positions

## Join the _Stripe_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=stripe)

Explore More

## Related _content_

### Blog Posts

-   [→ How AI Coding Tools Are Reshaping Developer Hiring in 2026](https://jobsbyculture.com/blog/ai-coding-tools-reshaping-developer-hiring-2026)
-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Engineer Salary Guide 2026: What Companies Actually Pay by Level](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ AI Jobs in Paris 2026: 170 Roles at Mistral, Datadog, Hugging Face & 10 More Companies](https://jobsbyculture.com/blog/ai-jobs-paris-2026)

### Compare Stripe

-   [→ Stripe vs Abridge](https://jobsbyculture.com/compare/abridge-vs-stripe)
-   [→ Stripe vs Adyen](https://jobsbyculture.com/compare/adyen-vs-stripe)
-   [→ Stripe vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-stripe)
-   [→ Stripe vs Airtable](https://jobsbyculture.com/compare/airtable-vs-stripe)
-   [→ Stripe vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-stripe)
-   [→ Stripe vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-stripe)
-   [→ Stripe vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-stripe)
-   [→ Stripe vs Asana](https://jobsbyculture.com/compare/asana-vs-stripe)
-   [→ Stripe vs Baseten](https://jobsbyculture.com/compare/baseten-vs-stripe)
-   [→ Stripe vs Brex](https://jobsbyculture.com/compare/brex-vs-stripe)
-   [→ Stripe vs Celonis](https://jobsbyculture.com/compare/celonis-vs-stripe)
-   [→ Stripe vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-stripe)
-   [→ Stripe vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-stripe)
-   [→ Stripe vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-stripe)
-   [→ Stripe vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-stripe)
-   [→ Stripe vs Cohere](https://jobsbyculture.com/compare/cohere-vs-stripe)
-   [→ Stripe vs Coinbase](https://jobsbyculture.com/compare/coinbase-vs-stripe)
-   [→ Stripe vs Contentful](https://jobsbyculture.com/compare/contentful-vs-stripe)
-   [→ Stripe vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-stripe)
-   [→ Stripe vs Cresta](https://jobsbyculture.com/compare/cresta-vs-stripe)
-   [→ Stripe vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-stripe)
-   [→ Stripe vs Cursor](https://jobsbyculture.com/compare/cursor-vs-stripe)
-   [→ Stripe vs Databricks](https://jobsbyculture.com/compare/databricks-vs-stripe)
-   [→ Stripe vs Datadog](https://jobsbyculture.com/compare/datadog-vs-stripe)
-   [→ Stripe vs Decagon](https://jobsbyculture.com/compare/decagon-vs-stripe)
-   [→ Stripe vs DeepL](https://jobsbyculture.com/compare/deepl-vs-stripe)
-   [→ Stripe vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-stripe)
-   [→ Stripe vs Descript](https://jobsbyculture.com/compare/descript-vs-stripe)
-   [→ Stripe vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-stripe)
-   [→ Stripe vs Elastic](https://jobsbyculture.com/compare/elastic-vs-stripe)
-   [→ Stripe vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-stripe)
-   [→ Stripe vs Figma](https://jobsbyculture.com/compare/figma-vs-stripe)
-   [→ Stripe vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-stripe)
-   [→ Stripe vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-stripe)
-   [→ Stripe vs Glean](https://jobsbyculture.com/compare/glean-vs-stripe)
-   [→ Stripe vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-stripe)
-   [→ Stripe vs Granola](https://jobsbyculture.com/compare/granola-vs-stripe)
-   [→ Stripe vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-stripe)
-   [→ Stripe vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-stripe)
-   [→ Stripe vs Helsing](https://jobsbyculture.com/compare/helsing-vs-stripe)
-   [→ Stripe vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-stripe)
-   [→ Stripe vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-stripe)
-   [→ Stripe vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-stripe)
-   [→ Stripe vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-stripe)
-   [→ Stripe vs Lambda](https://jobsbyculture.com/compare/lambda-vs-stripe)
-   [→ Stripe vs LangChain](https://jobsbyculture.com/compare/langchain-vs-stripe)
-   [→ Stripe vs Linear](https://jobsbyculture.com/compare/linear-vs-stripe)
-   [→ Stripe vs Lovable](https://jobsbyculture.com/compare/lovable-vs-stripe)
-   [→ Stripe vs Mercor](https://jobsbyculture.com/compare/mercor-vs-stripe)
-   [→ Stripe vs Mercury](https://jobsbyculture.com/compare/mercury-vs-stripe)
-   [→ Stripe vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-stripe)
-   [→ Stripe vs Modal](https://jobsbyculture.com/compare/modal-vs-stripe)
-   [→ Stripe vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-stripe)
-   [→ Stripe vs n8n](https://jobsbyculture.com/compare/n8n-vs-stripe)
-   [→ Stripe vs Navan](https://jobsbyculture.com/compare/navan-vs-stripe)
-   [→ Stripe vs Notion](https://jobsbyculture.com/compare/notion-vs-stripe)
-   [→ Stripe vs OpenAI](https://jobsbyculture.com/compare/openai-vs-stripe)
-   [→ Stripe vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-stripe)
-   [→ Stripe vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-stripe)
-   [→ Stripe vs Plaid](https://jobsbyculture.com/compare/plaid-vs-stripe)
-   [→ Stripe vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-stripe)
-   [→ Stripe vs PostHog](https://jobsbyculture.com/compare/posthog-vs-stripe)
-   [→ Stripe vs Pylon](https://jobsbyculture.com/compare/pylon-vs-stripe)
-   [→ Stripe vs Ramp](https://jobsbyculture.com/compare/ramp-vs-stripe)
-   [→ Stripe vs Replit](https://jobsbyculture.com/compare/replit-vs-stripe)
-   [→ Stripe vs Runway](https://jobsbyculture.com/compare/runway-vs-stripe)
-   [→ Stripe vs Samsara](https://jobsbyculture.com/compare/samsara-vs-stripe)
-   [→ Stripe vs Scale AI](https://jobsbyculture.com/compare/scale-vs-stripe)
-   [→ Stripe vs Sierra AI](https://jobsbyculture.com/compare/sierra-vs-stripe)
-   [→ Stripe vs Snowflake](https://jobsbyculture.com/compare/snowflake-vs-stripe)
-   [→ Stripe vs Airbnb](https://jobsbyculture.com/compare/stripe-vs-airbnb)
-   [→ Stripe vs google](https://jobsbyculture.com/compare/stripe-vs-google)
-   [→ Stripe vs shopify](https://jobsbyculture.com/compare/stripe-vs-shopify)
-   [→ Stripe vs Suno](https://jobsbyculture.com/compare/stripe-vs-suno)
-   [→ Stripe vs Supabase](https://jobsbyculture.com/compare/stripe-vs-supabase)
-   [→ Stripe vs Synthesia](https://jobsbyculture.com/compare/stripe-vs-synthesia)
-   [→ Stripe vs Tailscale](https://jobsbyculture.com/compare/stripe-vs-tailscale)
-   [→ Stripe vs Together AI](https://jobsbyculture.com/compare/stripe-vs-together)
-   [→ Stripe vs Twilio](https://jobsbyculture.com/compare/stripe-vs-twilio)
-   [→ Stripe vs Vanta](https://jobsbyculture.com/compare/stripe-vs-vanta)
-   [→ Stripe vs Vast AI](https://jobsbyculture.com/compare/stripe-vs-vast)
-   [→ Stripe vs Vercel](https://jobsbyculture.com/compare/stripe-vs-vercel)
-   [→ Stripe vs Wayve](https://jobsbyculture.com/compare/stripe-vs-wayve)
-   [→ Stripe vs Weaviate](https://jobsbyculture.com/compare/stripe-vs-weaviate)
-   [→ Stripe vs Webflow](https://jobsbyculture.com/compare/stripe-vs-webflow)
-   [→ Stripe vs Writer](https://jobsbyculture.com/compare/stripe-vs-writer)
-   [→ Stripe vs Vercel](https://jobsbyculture.com/compare/vercel-vs-stripe)



🏢

### Claim _Stripe_

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We'll respond within 24 hours. No spam, ever.

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### Request received!

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## Document: Suno Culture & Jobs | JobsByCulture

# Suno Culture & Jobs | JobsByCulture

> Suno engineering culture: 4.2 Glassdoor, AI music generation, 2M+ subscribers. See 61 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/suno
Markdown: https://jobsbyculture.com/companies/suno.md
Last updated: 2026-07-14

---
![Suno logo](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

# Suno

AI Music Generation — Make Any Song You Can Imagine

The consensus on Suno: Choose Suno if you want to build at the frontier of AI music with a creative, fast-shipping team — but expect below-market comp and startup growing pains.

2022

Founded

Cambridge, MA

Headquarters

~200

Employees

~$5.4B

Valuation (2026)

Free Work at Suno? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Suno

Founded in 2022 by Mikey Shulman and team, Suno is the leading AI music generation platform with over 2M paid subscribers. The culture is engineering-driven and fast-shipping, with a small team where everyone wears many hats. Expect a creative, mission-driven environment at the intersection of AI and music, where individual contributors have real impact on product direction.

[Ship Fast](https://jobsbyculture.com/values/ship-fast) [Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Product Impact](https://jobsbyculture.com/values/product-impact) [Wears Many Hats](https://jobsbyculture.com/values/many-hats) [Learning & Growth](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Suno Glassdoor Ratings & _Employee Reviews_

4.2

Overall Glassdoor Score

Based on 6 reviews

Culture & Values 3.9

Compensation & Benefits 3.5

Senior Management 3.9

Career Opportunities 3.6

Work-Life Balance 3.8

Overall Rating 4.2

85% Recommend to a Friend

CEO: Mikey Shulman (CEO & Co-Founder)

Employee Review Themes

## Working at Suno: _Pros & Cons_

### ✓ What employees love

-   ✓ Building the leading AI music platform with 2M+ paid subscribers and explosive growth
-   ✓ Creative, mission-driven team working at the intersection of AI and music
-   ✓ 85% recommend to a friend — employees genuinely enjoy the product and team
-   ✓ Fastest-growing AI music startup — $300M ARR and counting
-   ✓ Small enough to have real impact on the product direction

### ✗ What could be better

-   ✗ Compensation & benefits rated 3.5/5 — below market for AI startups
-   ✗ Startup growing pains — processes and structure still catching up to rapid scaling
-   ✗ Culture & values rated 3.9/5 — some friction as the team scales quickly
-   ✗ Cambridge, MA location limits the talent pool compared to SF

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python PyTorch TypeScript React AWS Audio ML

#### Open Source & Research

Active in audio ML research. Working on foundational music generation models. Collaborates with music industry partners.

#### Engineering Blog

Sharing research on audio generation, music AI, and creative tools. [Visit Suno →](https://suno.com?ref=jobsbyculture.com)

#### Team Structure

Startup-stage team in Cambridge, MA. Engineers work across the full stack from model training to frontend. Flat structure where everyone contributes to product decisions.

Open Positions

## Join the _Suno_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=suno)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Best AI Companies for Work-Life Balance in New York (2026)](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-new-york-2026)
-   [→ Best AI Companies for WLB in SF (2026)](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-san-francisco-2026)
-   [→ Companies Where Coworkers Actually Become Friends: Team Culture Beyond the Office](https://jobsbyculture.com/blog/companies-where-coworkers-become-friends-2026)

### Compare Suno

-   [→ Suno vs Abridge](https://jobsbyculture.com/compare/abridge-vs-suno)
-   [→ Suno vs Adyen](https://jobsbyculture.com/compare/adyen-vs-suno)
-   [→ Suno vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-suno)
-   [→ Suno vs Airtable](https://jobsbyculture.com/compare/airtable-vs-suno)
-   [→ Suno vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-suno)
-   [→ Suno vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-suno)
-   [→ Suno vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-suno)
-   [→ Suno vs Asana](https://jobsbyculture.com/compare/asana-vs-suno)
-   [→ Suno vs Baseten](https://jobsbyculture.com/compare/baseten-vs-suno)
-   [→ Suno vs Brex](https://jobsbyculture.com/compare/brex-vs-suno)
-   [→ Suno vs Celonis](https://jobsbyculture.com/compare/celonis-vs-suno)
-   [→ Suno vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-suno)
-   [→ Suno vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-suno)
-   [→ Suno vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-suno)
-   [→ Suno vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-suno)
-   [→ Suno vs Cohere](https://jobsbyculture.com/compare/cohere-vs-suno)
-   [→ Suno vs Contentful](https://jobsbyculture.com/compare/contentful-vs-suno)
-   [→ Suno vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-suno)
-   [→ Suno vs Cresta](https://jobsbyculture.com/compare/cresta-vs-suno)
-   [→ Suno vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-suno)
-   [→ Suno vs Cursor](https://jobsbyculture.com/compare/cursor-vs-suno)
-   [→ Suno vs Databricks](https://jobsbyculture.com/compare/databricks-vs-suno)
-   [→ Suno vs Datadog](https://jobsbyculture.com/compare/datadog-vs-suno)
-   [→ Suno vs Decagon](https://jobsbyculture.com/compare/decagon-vs-suno)
-   [→ Suno vs DeepL](https://jobsbyculture.com/compare/deepl-vs-suno)
-   [→ Suno vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-suno)
-   [→ Suno vs Descript](https://jobsbyculture.com/compare/descript-vs-suno)
-   [→ Suno vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-suno)
-   [→ Suno vs Elastic](https://jobsbyculture.com/compare/elastic-vs-suno)
-   [→ Suno vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-suno)
-   [→ Suno vs Figma](https://jobsbyculture.com/compare/figma-vs-suno)
-   [→ Suno vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-suno)
-   [→ Suno vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-suno)
-   [→ Suno vs Glean](https://jobsbyculture.com/compare/glean-vs-suno)
-   [→ Suno vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-suno)
-   [→ Suno vs Granola](https://jobsbyculture.com/compare/granola-vs-suno)
-   [→ Suno vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-suno)
-   [→ Suno vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-suno)
-   [→ Suno vs Helsing](https://jobsbyculture.com/compare/helsing-vs-suno)
-   [→ Suno vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-suno)
-   [→ Suno vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-suno)
-   [→ Suno vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-suno)
-   [→ Suno vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-suno)
-   [→ Suno vs Lambda](https://jobsbyculture.com/compare/lambda-vs-suno)
-   [→ Suno vs LangChain](https://jobsbyculture.com/compare/langchain-vs-suno)
-   [→ Suno vs Linear](https://jobsbyculture.com/compare/linear-vs-suno)
-   [→ Suno vs Lovable](https://jobsbyculture.com/compare/lovable-vs-suno)
-   [→ Suno vs Mercor](https://jobsbyculture.com/compare/mercor-vs-suno)
-   [→ Suno vs Mercury](https://jobsbyculture.com/compare/mercury-vs-suno)
-   [→ Suno vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-suno)
-   [→ Suno vs Modal](https://jobsbyculture.com/compare/modal-vs-suno)
-   [→ Suno vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-suno)
-   [→ Suno vs n8n](https://jobsbyculture.com/compare/n8n-vs-suno)
-   [→ Suno vs Navan](https://jobsbyculture.com/compare/navan-vs-suno)
-   [→ Suno vs Notion](https://jobsbyculture.com/compare/notion-vs-suno)
-   [→ Suno vs OpenAI](https://jobsbyculture.com/compare/openai-vs-suno)
-   [→ Suno vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-suno)
-   [→ Suno vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-suno)
-   [→ Suno vs Plaid](https://jobsbyculture.com/compare/plaid-vs-suno)
-   [→ Suno vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-suno)
-   [→ Suno vs PostHog](https://jobsbyculture.com/compare/posthog-vs-suno)
-   [→ Suno vs Pylon](https://jobsbyculture.com/compare/pylon-vs-suno)
-   [→ Suno vs Ramp](https://jobsbyculture.com/compare/ramp-vs-suno)
-   [→ Suno vs Replit](https://jobsbyculture.com/compare/replit-vs-suno)
-   [→ Suno vs Runway](https://jobsbyculture.com/compare/runway-vs-suno)
-   [→ Suno vs Samsara](https://jobsbyculture.com/compare/samsara-vs-suno)
-   [→ Suno vs Scale AI](https://jobsbyculture.com/compare/scale-vs-suno)
-   [→ Suno vs Sierra AI](https://jobsbyculture.com/compare/sierra-vs-suno)
-   [→ Suno vs Snowflake](https://jobsbyculture.com/compare/snowflake-vs-suno)
-   [→ Suno vs Stripe](https://jobsbyculture.com/compare/stripe-vs-suno)
-   [→ Suno vs Supabase](https://jobsbyculture.com/compare/suno-vs-supabase)
-   [→ Suno vs Synthesia](https://jobsbyculture.com/compare/suno-vs-synthesia)
-   [→ Suno vs Tailscale](https://jobsbyculture.com/compare/suno-vs-tailscale)
-   [→ Suno vs Together AI](https://jobsbyculture.com/compare/suno-vs-together)
-   [→ Suno vs Twilio](https://jobsbyculture.com/compare/suno-vs-twilio)
-   [→ Suno vs Vanta](https://jobsbyculture.com/compare/suno-vs-vanta)
-   [→ Suno vs Vast AI](https://jobsbyculture.com/compare/suno-vs-vast)
-   [→ Suno vs Vercel](https://jobsbyculture.com/compare/suno-vs-vercel)
-   [→ Suno vs Wayve](https://jobsbyculture.com/compare/suno-vs-wayve)
-   [→ Suno vs Weaviate](https://jobsbyculture.com/compare/suno-vs-weaviate)
-   [→ Suno vs Webflow](https://jobsbyculture.com/compare/suno-vs-webflow)
-   [→ Suno vs Writer](https://jobsbyculture.com/compare/suno-vs-writer)



🏢

### Claim _Suno_

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### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Supabase Culture & Jobs | JobsByCulture

# Supabase Culture & Jobs | JobsByCulture

> Supabase engineering culture: 4.8 Glassdoor, fully remote, open-source. See 51 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/supabase
Markdown: https://jobsbyculture.com/companies/supabase.md
Last updated: 2026-07-14

---
![Supabase logo](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

# Supabase

Open-Source Firebase Alternative — Build in a Weekend, Scale to Millions

The consensus on Supabase: Choose Supabase if you want open-source impact, extreme autonomy, and a no-hierarchy culture — but expect intense workload and poor work-life balance.

2020

Founded

Singapore

HQ (Fully Remote)

~250

Employees

~$10.5B

Valuation (2026)

Free Work at Supabase? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Supabase

Founded in 2020 by Paul Copplestone and Ant Wilson, Supabase is building an open-source alternative to Firebase. The culture is deeply engineering-driven with a flat, no-hierarchy structure where every engineer owns entire features from design to deployment. Fully remote and async-first, the team ships fast with meetings as a last resort — but the pace is relentless and work-life balance takes a hit.

[Open Source](https://jobsbyculture.com/values/open-source) [Remote-Friendly](https://jobsbyculture.com/values/remote) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Flat Hierarchy](https://jobsbyculture.com/values/flat) [Async-First](https://jobsbyculture.com/values/async)

Glassdoor Ratings

## Supabase Glassdoor Ratings & _Employee Reviews_

4.8

Overall Glassdoor Score

Based on 5 reviews

Culture & Values 4.5

Compensation & Benefits 4.0

Senior Management 4.7

Career Opportunities 4.0

Work-Life Balance 3.0

Overall Rating 4.8

100% Recommend to a Friend

CEO Approval (Paul Copplestone)

Employee Review Themes

## Working at Supabase: _Pros & Cons_

### ✓ What employees love

-   ✓ Truly open-source DNA — build products millions of developers use daily
-   ✓ No-hierarchy remote culture with extreme autonomy and generous allowances
-   ✓ Work alongside the best — talented engineers solving hard database and infrastructure problems
-   ✓ 100% of reviewers recommend to a friend — highest recommendation rate in our database
-   ✓ Massive developer community — 75k+ GitHub stars and growing fast

### ✗ What could be better

-   ✗ Work-life balance rated 3.0/5 — the lowest WLB score in our database alongside intense shipping pace
-   ✗ Intense workload — reviewers note more work than a single person can reasonably manage
-   ✗ Small team relative to the scale of the product — expect to wear many hats
-   ✗ Still building processes — startup chaos comes with the territory

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

TypeScript Elixir Rust PostgreSQL Deno Edge Functions

#### Open Source & Research

Core product is fully open-source (75k+ GitHub stars). Active contributor to PostgreSQL ecosystem. Supabase client libraries support 10+ languages.

#### Engineering Blog

Active engineering blog covering PostgreSQL, Realtime, Edge Functions, and vector search. [Read the blog →](https://supabase.com/blog?ref=jobsbyculture.com)

#### Team Structure

Fully remote, globally distributed. Meetings as a last resort — async-first with heavy use of GitHub and Linear. Engineers own entire features from design to deployment.

Open Positions

## Join the _Supabase_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=supabase)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Anthropic Glassdoor Reviews Decoded 2026: What 150+ Employees Actually Say](https://jobsbyculture.com/blog/anthropic-glassdoor-reviews-decoded-2026)
-   [→ Is Anthropic Remote? Only ~8% of Roles Are in 2026 (Real Policy + Alternatives)](https://jobsbyculture.com/blog/anthropic-remote-work-policy-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)

### Compare Supabase

-   [→ Supabase vs Abridge](https://jobsbyculture.com/compare/abridge-vs-supabase)
-   [→ Supabase vs Adyen](https://jobsbyculture.com/compare/adyen-vs-supabase)
-   [→ Supabase vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-supabase)
-   [→ Supabase vs Airtable](https://jobsbyculture.com/compare/airtable-vs-supabase)
-   [→ Supabase vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-supabase)
-   [→ Supabase vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-supabase)
-   [→ Supabase vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-supabase)
-   [→ Supabase vs Asana](https://jobsbyculture.com/compare/asana-vs-supabase)
-   [→ Supabase vs Baseten](https://jobsbyculture.com/compare/baseten-vs-supabase)
-   [→ Supabase vs Brex](https://jobsbyculture.com/compare/brex-vs-supabase)
-   [→ Supabase vs Celonis](https://jobsbyculture.com/compare/celonis-vs-supabase)
-   [→ Supabase vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-supabase)
-   [→ Supabase vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-supabase)
-   [→ Supabase vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-supabase)
-   [→ Supabase vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-supabase)
-   [→ Supabase vs Cohere](https://jobsbyculture.com/compare/cohere-vs-supabase)
-   [→ Supabase vs Contentful](https://jobsbyculture.com/compare/contentful-vs-supabase)
-   [→ Supabase vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-supabase)
-   [→ Supabase vs Cresta](https://jobsbyculture.com/compare/cresta-vs-supabase)
-   [→ Supabase vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-supabase)
-   [→ Supabase vs Cursor](https://jobsbyculture.com/compare/cursor-vs-supabase)
-   [→ Supabase vs Databricks](https://jobsbyculture.com/compare/databricks-vs-supabase)
-   [→ Supabase vs Datadog](https://jobsbyculture.com/compare/datadog-vs-supabase)
-   [→ Supabase vs Decagon](https://jobsbyculture.com/compare/decagon-vs-supabase)
-   [→ Supabase vs DeepL](https://jobsbyculture.com/compare/deepl-vs-supabase)
-   [→ Supabase vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-supabase)
-   [→ Supabase vs Descript](https://jobsbyculture.com/compare/descript-vs-supabase)
-   [→ Supabase vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-supabase)
-   [→ Supabase vs Elastic](https://jobsbyculture.com/compare/elastic-vs-supabase)
-   [→ Supabase vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-supabase)
-   [→ Supabase vs Figma](https://jobsbyculture.com/compare/figma-vs-supabase)
-   [→ Supabase vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-supabase)
-   [→ Supabase vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-supabase)
-   [→ Supabase vs Glean](https://jobsbyculture.com/compare/glean-vs-supabase)
-   [→ Supabase vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-supabase)
-   [→ Supabase vs Granola](https://jobsbyculture.com/compare/granola-vs-supabase)
-   [→ Supabase vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-supabase)
-   [→ Supabase vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-supabase)
-   [→ Supabase vs Helsing](https://jobsbyculture.com/compare/helsing-vs-supabase)
-   [→ Supabase vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-supabase)
-   [→ Supabase vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-supabase)
-   [→ Supabase vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-supabase)
-   [→ Supabase vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-supabase)
-   [→ Supabase vs Lambda](https://jobsbyculture.com/compare/lambda-vs-supabase)
-   [→ Supabase vs LangChain](https://jobsbyculture.com/compare/langchain-vs-supabase)
-   [→ Supabase vs Linear](https://jobsbyculture.com/compare/linear-vs-supabase)
-   [→ Supabase vs Lovable](https://jobsbyculture.com/compare/lovable-vs-supabase)
-   [→ Supabase vs Mercor](https://jobsbyculture.com/compare/mercor-vs-supabase)
-   [→ Supabase vs Mercury](https://jobsbyculture.com/compare/mercury-vs-supabase)
-   [→ Supabase vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-supabase)
-   [→ Supabase vs Modal](https://jobsbyculture.com/compare/modal-vs-supabase)
-   [→ Supabase vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-supabase)
-   [→ Supabase vs n8n](https://jobsbyculture.com/compare/n8n-vs-supabase)
-   [→ Supabase vs Navan](https://jobsbyculture.com/compare/navan-vs-supabase)
-   [→ Supabase vs Notion](https://jobsbyculture.com/compare/notion-vs-supabase)
-   [→ Supabase vs OpenAI](https://jobsbyculture.com/compare/openai-vs-supabase)
-   [→ Supabase vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-supabase)
-   [→ Supabase vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-supabase)
-   [→ Supabase vs Plaid](https://jobsbyculture.com/compare/plaid-vs-supabase)
-   [→ Supabase vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-supabase)
-   [→ Supabase vs PostHog](https://jobsbyculture.com/compare/posthog-vs-supabase)
-   [→ Supabase vs Pylon](https://jobsbyculture.com/compare/pylon-vs-supabase)
-   [→ Supabase vs Ramp](https://jobsbyculture.com/compare/ramp-vs-supabase)
-   [→ Supabase vs Replit](https://jobsbyculture.com/compare/replit-vs-supabase)
-   [→ Supabase vs Runway](https://jobsbyculture.com/compare/runway-vs-supabase)
-   [→ Supabase vs Samsara](https://jobsbyculture.com/compare/samsara-vs-supabase)
-   [→ Supabase vs Scale AI](https://jobsbyculture.com/compare/scale-vs-supabase)
-   [→ Supabase vs Sierra AI](https://jobsbyculture.com/compare/sierra-vs-supabase)
-   [→ Supabase vs Snowflake](https://jobsbyculture.com/compare/snowflake-vs-supabase)
-   [→ Supabase vs Stripe](https://jobsbyculture.com/compare/stripe-vs-supabase)
-   [→ Supabase vs Suno](https://jobsbyculture.com/compare/suno-vs-supabase)
-   [→ Supabase vs Synthesia](https://jobsbyculture.com/compare/supabase-vs-synthesia)
-   [→ Supabase vs Tailscale](https://jobsbyculture.com/compare/supabase-vs-tailscale)
-   [→ Supabase vs Together AI](https://jobsbyculture.com/compare/supabase-vs-together)
-   [→ Supabase vs Twilio](https://jobsbyculture.com/compare/supabase-vs-twilio)
-   [→ Supabase vs Vanta](https://jobsbyculture.com/compare/supabase-vs-vanta)
-   [→ Supabase vs Vast AI](https://jobsbyculture.com/compare/supabase-vs-vast)
-   [→ Supabase vs Vercel](https://jobsbyculture.com/compare/supabase-vs-vercel)
-   [→ Supabase vs Wayve](https://jobsbyculture.com/compare/supabase-vs-wayve)
-   [→ Supabase vs Weaviate](https://jobsbyculture.com/compare/supabase-vs-weaviate)
-   [→ Supabase vs Webflow](https://jobsbyculture.com/compare/supabase-vs-webflow)
-   [→ Supabase vs Writer](https://jobsbyculture.com/compare/supabase-vs-writer)



🏢

### Claim _Supabase_

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We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Synthesia Culture & Jobs | JobsByCulture

# Synthesia Culture & Jobs | JobsByCulture

> Synthesia engineering culture: 4.4 Glassdoor, 4.2 WLB, AI video generation unicorn. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/synthesia
Markdown: https://jobsbyculture.com/companies/synthesia.md
Last updated: 2026-07-14

---
![Synthesia logo](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

# Synthesia

AI Video Generation Platform — Creating Synthetic Media at Scale

The consensus on Synthesia: High-growth AI company with strong culture ratings and real employee trust, though R&D teams feel the pace and promotions skew toward external hires.

2017

Founded

London

Headquarters

~660

Employees

$4B

Valuation

Free Work at Synthesia? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Synthesia

Synthesia is a London-based AI video generation platform that lets anyone create professional videos from text. The culture is genuinely low-ego and supportive, with flat hierarchy and real ownership even at junior levels. Employees describe a fast-paced but trusting environment where you can grow quickly — though R&D teams feel the pressure of rapid scaling more than others.

[Ship Fast](https://jobsbyculture.com/values/ship-fast) [Learning](https://jobsbyculture.com/values/learning) [Flat Hierarchy](https://jobsbyculture.com/values/flat) [Product Impact](https://jobsbyculture.com/values/product-impact) [Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Many Hats](https://jobsbyculture.com/values/many-hats)

Glassdoor Ratings

## Synthesia Glassdoor Ratings & _Employee Reviews_

4.4

Overall Glassdoor Score

Based on employee reviews

Culture & Values 4.5

Compensation & Benefits 4.4

Senior Management 4.2

Career Opportunities 4.2

Work-Life Balance 4.2

Overall Rating 4.4

88% Recommend to a Friend

92% CEO Approval (Victor Riparbelli)

Employee Review Themes

## Working at Synthesia: _Pros & Cons_

### ✓ What employees love

-   ✓Low-ego supportive culture with genuine trust and ownership
-   ✓Fast-paced growth with real opportunity to develop and lead
-   ✓Cutting-edge AI video technology — genuinely exciting product
-   ✓Flat hierarchy where your voice matters regardless of title

### ✗ What could be better

-   ✗R&D and Product teams feel intense pressure and WLB suffers
-   ✗Promotions rare internally — new roles favor external hires
-   ✗Rapid scaling brings process gaps and shifting priorities

Open Positions

## Join the _Synthesia_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=synthesia)

Explore More

## Related _content_

### Blog Posts

-   [→ Celonis in 2026: 3,800 Employees, $13B Valuation, Salary & Culture](https://jobsbyculture.com/blog/working-at-celonis-2026)
-   [→ Synthesia in 2026: $4B Valuation, 700 Employees, Salary & Culture](https://jobsbyculture.com/blog/working-at-synthesia-2026)

### Compare Synthesia

-   [→ Synthesia vs Abridge](https://jobsbyculture.com/compare/abridge-vs-synthesia)
-   [→ Synthesia vs Adyen](https://jobsbyculture.com/compare/adyen-vs-synthesia)
-   [→ Synthesia vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-synthesia)
-   [→ Synthesia vs Airtable](https://jobsbyculture.com/compare/airtable-vs-synthesia)
-   [→ Synthesia vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-synthesia)
-   [→ Synthesia vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-synthesia)
-   [→ Synthesia vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-synthesia)
-   [→ Synthesia vs Asana](https://jobsbyculture.com/compare/asana-vs-synthesia)
-   [→ Synthesia vs Baseten](https://jobsbyculture.com/compare/baseten-vs-synthesia)
-   [→ Synthesia vs Brex](https://jobsbyculture.com/compare/brex-vs-synthesia)
-   [→ Synthesia vs Celonis](https://jobsbyculture.com/compare/celonis-vs-synthesia)
-   [→ Synthesia vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-synthesia)
-   [→ Synthesia vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-synthesia)
-   [→ Synthesia vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-synthesia)
-   [→ Synthesia vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-synthesia)
-   [→ Synthesia vs Cohere](https://jobsbyculture.com/compare/cohere-vs-synthesia)
-   [→ Synthesia vs Contentful](https://jobsbyculture.com/compare/contentful-vs-synthesia)
-   [→ Synthesia vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-synthesia)
-   [→ Synthesia vs Cresta](https://jobsbyculture.com/compare/cresta-vs-synthesia)
-   [→ Synthesia vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-synthesia)
-   [→ Synthesia vs Cursor](https://jobsbyculture.com/compare/cursor-vs-synthesia)
-   [→ Synthesia vs Databricks](https://jobsbyculture.com/compare/databricks-vs-synthesia)
-   [→ Synthesia vs Datadog](https://jobsbyculture.com/compare/datadog-vs-synthesia)
-   [→ Synthesia vs Decagon](https://jobsbyculture.com/compare/decagon-vs-synthesia)
-   [→ Synthesia vs DeepL](https://jobsbyculture.com/compare/deepl-vs-synthesia)
-   [→ Synthesia vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-synthesia)
-   [→ Synthesia vs Descript](https://jobsbyculture.com/compare/descript-vs-synthesia)
-   [→ Synthesia vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-synthesia)
-   [→ Synthesia vs Elastic](https://jobsbyculture.com/compare/elastic-vs-synthesia)
-   [→ Synthesia vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-synthesia)
-   [→ Synthesia vs Figma](https://jobsbyculture.com/compare/figma-vs-synthesia)
-   [→ Synthesia vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-synthesia)
-   [→ Synthesia vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-synthesia)
-   [→ Synthesia vs Glean](https://jobsbyculture.com/compare/glean-vs-synthesia)
-   [→ Synthesia vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-synthesia)
-   [→ Synthesia vs Granola](https://jobsbyculture.com/compare/granola-vs-synthesia)
-   [→ Synthesia vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-synthesia)
-   [→ Synthesia vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-synthesia)
-   [→ Synthesia vs Helsing](https://jobsbyculture.com/compare/helsing-vs-synthesia)
-   [→ Synthesia vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-synthesia)
-   [→ Synthesia vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-synthesia)
-   [→ Synthesia vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-synthesia)
-   [→ Synthesia vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-synthesia)
-   [→ Synthesia vs Lambda](https://jobsbyculture.com/compare/lambda-vs-synthesia)
-   [→ Synthesia vs LangChain](https://jobsbyculture.com/compare/langchain-vs-synthesia)
-   [→ Synthesia vs Linear](https://jobsbyculture.com/compare/linear-vs-synthesia)
-   [→ Synthesia vs Lovable](https://jobsbyculture.com/compare/lovable-vs-synthesia)
-   [→ Synthesia vs Mercor](https://jobsbyculture.com/compare/mercor-vs-synthesia)
-   [→ Synthesia vs Mercury](https://jobsbyculture.com/compare/mercury-vs-synthesia)
-   [→ Synthesia vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-synthesia)
-   [→ Synthesia vs Modal](https://jobsbyculture.com/compare/modal-vs-synthesia)
-   [→ Synthesia vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-synthesia)
-   [→ Synthesia vs n8n](https://jobsbyculture.com/compare/n8n-vs-synthesia)
-   [→ Synthesia vs Navan](https://jobsbyculture.com/compare/navan-vs-synthesia)
-   [→ Synthesia vs Notion](https://jobsbyculture.com/compare/notion-vs-synthesia)
-   [→ Synthesia vs OpenAI](https://jobsbyculture.com/compare/openai-vs-synthesia)
-   [→ Synthesia vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-synthesia)
-   [→ Synthesia vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-synthesia)
-   [→ Synthesia vs Plaid](https://jobsbyculture.com/compare/plaid-vs-synthesia)
-   [→ Synthesia vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-synthesia)
-   [→ Synthesia vs PostHog](https://jobsbyculture.com/compare/posthog-vs-synthesia)
-   [→ Synthesia vs Pylon](https://jobsbyculture.com/compare/pylon-vs-synthesia)
-   [→ Synthesia vs Ramp](https://jobsbyculture.com/compare/ramp-vs-synthesia)
-   [→ Synthesia vs Replit](https://jobsbyculture.com/compare/replit-vs-synthesia)
-   [→ Synthesia vs Runway](https://jobsbyculture.com/compare/runway-vs-synthesia)
-   [→ Synthesia vs Samsara](https://jobsbyculture.com/compare/samsara-vs-synthesia)
-   [→ Synthesia vs Scale AI](https://jobsbyculture.com/compare/scale-vs-synthesia)
-   [→ Synthesia vs Sierra AI](https://jobsbyculture.com/compare/sierra-vs-synthesia)
-   [→ Synthesia vs Snowflake](https://jobsbyculture.com/compare/snowflake-vs-synthesia)
-   [→ Synthesia vs Stripe](https://jobsbyculture.com/compare/stripe-vs-synthesia)
-   [→ Synthesia vs Suno](https://jobsbyculture.com/compare/suno-vs-synthesia)
-   [→ Synthesia vs Supabase](https://jobsbyculture.com/compare/supabase-vs-synthesia)
-   [→ Synthesia vs Tailscale](https://jobsbyculture.com/compare/synthesia-vs-tailscale)
-   [→ Synthesia vs Together AI](https://jobsbyculture.com/compare/synthesia-vs-together)
-   [→ Synthesia vs Twilio](https://jobsbyculture.com/compare/synthesia-vs-twilio)
-   [→ Synthesia vs Vanta](https://jobsbyculture.com/compare/synthesia-vs-vanta)
-   [→ Synthesia vs Vast AI](https://jobsbyculture.com/compare/synthesia-vs-vast)
-   [→ Synthesia vs Vercel](https://jobsbyculture.com/compare/synthesia-vs-vercel)
-   [→ Synthesia vs Wayve](https://jobsbyculture.com/compare/synthesia-vs-wayve)
-   [→ Synthesia vs Weaviate](https://jobsbyculture.com/compare/synthesia-vs-weaviate)
-   [→ Synthesia vs Webflow](https://jobsbyculture.com/compare/synthesia-vs-webflow)
-   [→ Synthesia vs Writer](https://jobsbyculture.com/compare/synthesia-vs-writer)

🏢

### Claim _Synthesia_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Tailscale Culture & Jobs | JobsByCulture

# Tailscale Culture & Jobs | JobsByCulture

> Tailscale engineering culture: 4.4 Glassdoor, same pay worldwide, 26wk parental leave. See 40 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/tailscale
Markdown: https://jobsbyculture.com/companies/tailscale.md
Last updated: 2026-07-14

---
![Tailscale logo](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

# Tailscale

Zero-Config VPN & Mesh Networking — Making Networking Just Work

The consensus on Tailscale: Choose Tailscale if you want same-pay-worldwide, exceptional WLB, and a deeply technical culture — but expect limited career progression and growing pains.

2019

Founded

Toronto, ON

Headquarters

~290

Employees

~$1.5B

Valuation (2025)

Free Work at Tailscale? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Tailscale

Founded in 2019, Tailscale builds a zero-config VPN and mesh networking platform powered by WireGuard. The culture is deeply engineering-driven and remote-first, with same pay worldwide regardless of location. Expect a nerdy, intellectual environment led by a technically brilliant CEO, with strong emphasis on work-life balance, written communication, and genuine diversity and inclusion.

[Remote-Friendly](https://jobsbyculture.com/values/remote) [Work-Life Balance](https://jobsbyculture.com/values/wlb) [Strong Comp & Equity](https://jobsbyculture.com/values/equity) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Diverse & Inclusive](https://jobsbyculture.com/values/diverse) [Transparent](https://jobsbyculture.com/values/transparent)

Glassdoor Ratings

## Tailscale Glassdoor Ratings & _Employee Reviews_

4.4

Overall Glassdoor Score

Based on 7 reviews

Culture & Values 4.3

Compensation & Benefits 4.8

Senior Management 4.1

Career Opportunities 3.0

Work-Life Balance 4.5

Overall Rating 4.4

79% Recommend to a Friend

100% CEO Approval (Avery Pennarun)

Employee Review Themes

## Working at Tailscale: _Pros & Cons_

### ✓ What employees love

-   ✓ Same pay worldwide with 26 weeks parental leave and genuine work-life balance (4.5/5)
-   ✓ Brilliant, nerdy CEO who deeply understands the tech — culture is intellectual and respectful
-   ✓ D&I rated 4.7/5 — the highest diversity score in our database
-   ✓ Compensation & benefits rated 4.8/5 — competitive pay regardless of location
-   ✓ WireGuard-based technology with real technical depth — not just another SaaS app

### ✗ What could be better

-   ✗ Career opportunities rated 3.0/5 — limited paths for growth at a mid-sized company
-   ✗ Middle management still developing — some growing pains as the org scales
-   ✗ Some concerns about PTO policies and time-off enforcement
-   ✗ Only 79% recommend — lower than you'd expect for a company with these benefits

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Go TypeScript React WireGuard Linux Networking

#### Open Source & Research

WireGuard-based, with open-source contributions. Tailscale publishes detailed networking research and maintains an active blog on mesh networking, DERP relays, and NAT traversal.

#### Engineering Blog

Deep technical blog covering WireGuard, NAT traversal, DERP, and networking protocols. [Read the blog →](https://tailscale.com/blog?ref=jobsbyculture.com)

#### Team Structure

Distributed globally with same pay everywhere. Small, autonomous engineering teams. Strong emphasis on written communication and documentation.

Open Positions

## Join the _Tailscale_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=tailscale)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Anthropic Glassdoor Reviews Decoded 2026: What 150+ Employees Actually Say](https://jobsbyculture.com/blog/anthropic-glassdoor-reviews-decoded-2026)
-   [→ Is Anthropic Remote? Only ~8% of Roles Are in 2026 (Real Policy + Alternatives)](https://jobsbyculture.com/blog/anthropic-remote-work-policy-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)

### Compare Tailscale

-   [→ Tailscale vs Abridge](https://jobsbyculture.com/compare/abridge-vs-tailscale)
-   [→ Tailscale vs Adyen](https://jobsbyculture.com/compare/adyen-vs-tailscale)
-   [→ Tailscale vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-tailscale)
-   [→ Tailscale vs Airtable](https://jobsbyculture.com/compare/airtable-vs-tailscale)
-   [→ Tailscale vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-tailscale)
-   [→ Tailscale vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-tailscale)
-   [→ Tailscale vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-tailscale)
-   [→ Tailscale vs Asana](https://jobsbyculture.com/compare/asana-vs-tailscale)
-   [→ Tailscale vs Baseten](https://jobsbyculture.com/compare/baseten-vs-tailscale)
-   [→ Tailscale vs Brex](https://jobsbyculture.com/compare/brex-vs-tailscale)
-   [→ Tailscale vs Celonis](https://jobsbyculture.com/compare/celonis-vs-tailscale)
-   [→ Tailscale vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-tailscale)
-   [→ Tailscale vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-tailscale)
-   [→ Tailscale vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-tailscale)
-   [→ Tailscale vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-tailscale)
-   [→ Tailscale vs Cohere](https://jobsbyculture.com/compare/cohere-vs-tailscale)
-   [→ Tailscale vs Contentful](https://jobsbyculture.com/compare/contentful-vs-tailscale)
-   [→ Tailscale vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-tailscale)
-   [→ Tailscale vs Cresta](https://jobsbyculture.com/compare/cresta-vs-tailscale)
-   [→ Tailscale vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-tailscale)
-   [→ Tailscale vs Cursor](https://jobsbyculture.com/compare/cursor-vs-tailscale)
-   [→ Tailscale vs Databricks](https://jobsbyculture.com/compare/databricks-vs-tailscale)
-   [→ Tailscale vs Datadog](https://jobsbyculture.com/compare/datadog-vs-tailscale)
-   [→ Tailscale vs Decagon](https://jobsbyculture.com/compare/decagon-vs-tailscale)
-   [→ Tailscale vs DeepL](https://jobsbyculture.com/compare/deepl-vs-tailscale)
-   [→ Tailscale vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-tailscale)
-   [→ Tailscale vs Descript](https://jobsbyculture.com/compare/descript-vs-tailscale)
-   [→ Tailscale vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-tailscale)
-   [→ Tailscale vs Elastic](https://jobsbyculture.com/compare/elastic-vs-tailscale)
-   [→ Tailscale vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-tailscale)
-   [→ Tailscale vs Figma](https://jobsbyculture.com/compare/figma-vs-tailscale)
-   [→ Tailscale vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-tailscale)
-   [→ Tailscale vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-tailscale)
-   [→ Tailscale vs Glean](https://jobsbyculture.com/compare/glean-vs-tailscale)
-   [→ Tailscale vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-tailscale)
-   [→ Tailscale vs Granola](https://jobsbyculture.com/compare/granola-vs-tailscale)
-   [→ Tailscale vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-tailscale)
-   [→ Tailscale vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-tailscale)
-   [→ Tailscale vs Helsing](https://jobsbyculture.com/compare/helsing-vs-tailscale)
-   [→ Tailscale vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-tailscale)
-   [→ Tailscale vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-tailscale)
-   [→ Tailscale vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-tailscale)
-   [→ Tailscale vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-tailscale)
-   [→ Tailscale vs Lambda](https://jobsbyculture.com/compare/lambda-vs-tailscale)
-   [→ Tailscale vs LangChain](https://jobsbyculture.com/compare/langchain-vs-tailscale)
-   [→ Tailscale vs Linear](https://jobsbyculture.com/compare/linear-vs-tailscale)
-   [→ Tailscale vs Lovable](https://jobsbyculture.com/compare/lovable-vs-tailscale)
-   [→ Tailscale vs Mercor](https://jobsbyculture.com/compare/mercor-vs-tailscale)
-   [→ Tailscale vs Mercury](https://jobsbyculture.com/compare/mercury-vs-tailscale)
-   [→ Tailscale vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-tailscale)
-   [→ Tailscale vs Modal](https://jobsbyculture.com/compare/modal-vs-tailscale)
-   [→ Tailscale vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-tailscale)
-   [→ Tailscale vs n8n](https://jobsbyculture.com/compare/n8n-vs-tailscale)
-   [→ Tailscale vs Navan](https://jobsbyculture.com/compare/navan-vs-tailscale)
-   [→ Tailscale vs Notion](https://jobsbyculture.com/compare/notion-vs-tailscale)
-   [→ Tailscale vs OpenAI](https://jobsbyculture.com/compare/openai-vs-tailscale)
-   [→ Tailscale vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-tailscale)
-   [→ Tailscale vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-tailscale)
-   [→ Tailscale vs Plaid](https://jobsbyculture.com/compare/plaid-vs-tailscale)
-   [→ Tailscale vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-tailscale)
-   [→ Tailscale vs PostHog](https://jobsbyculture.com/compare/posthog-vs-tailscale)
-   [→ Tailscale vs Pylon](https://jobsbyculture.com/compare/pylon-vs-tailscale)
-   [→ Tailscale vs Ramp](https://jobsbyculture.com/compare/ramp-vs-tailscale)
-   [→ Tailscale vs Replit](https://jobsbyculture.com/compare/replit-vs-tailscale)
-   [→ Tailscale vs Runway](https://jobsbyculture.com/compare/runway-vs-tailscale)
-   [→ Tailscale vs Samsara](https://jobsbyculture.com/compare/samsara-vs-tailscale)
-   [→ Tailscale vs Scale AI](https://jobsbyculture.com/compare/scale-vs-tailscale)
-   [→ Tailscale vs Sierra AI](https://jobsbyculture.com/compare/sierra-vs-tailscale)
-   [→ Tailscale vs Snowflake](https://jobsbyculture.com/compare/snowflake-vs-tailscale)
-   [→ Tailscale vs Stripe](https://jobsbyculture.com/compare/stripe-vs-tailscale)
-   [→ Tailscale vs Suno](https://jobsbyculture.com/compare/suno-vs-tailscale)
-   [→ Tailscale vs Supabase](https://jobsbyculture.com/compare/supabase-vs-tailscale)
-   [→ Tailscale vs Synthesia](https://jobsbyculture.com/compare/synthesia-vs-tailscale)
-   [→ Tailscale vs Together AI](https://jobsbyculture.com/compare/tailscale-vs-together)
-   [→ Tailscale vs Twilio](https://jobsbyculture.com/compare/tailscale-vs-twilio)
-   [→ Tailscale vs Vanta](https://jobsbyculture.com/compare/tailscale-vs-vanta)
-   [→ Tailscale vs Vast AI](https://jobsbyculture.com/compare/tailscale-vs-vast)
-   [→ Tailscale vs Vercel](https://jobsbyculture.com/compare/tailscale-vs-vercel)
-   [→ Tailscale vs Wayve](https://jobsbyculture.com/compare/tailscale-vs-wayve)
-   [→ Tailscale vs Weaviate](https://jobsbyculture.com/compare/tailscale-vs-weaviate)
-   [→ Tailscale vs Webflow](https://jobsbyculture.com/compare/tailscale-vs-webflow)
-   [→ Tailscale vs Writer](https://jobsbyculture.com/compare/tailscale-vs-writer)



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## Document: Tenstorrent Glassdoor, Culture & Careers 2026 | JobsByCulture

# Tenstorrent Glassdoor, Culture & Careers 2026 | JobsByCulture

> Tenstorrent company profile: 3.6 Glassdoor, ~1,100 employees, $150k–$300k comp. Jim Keller

Source: https://jobsbyculture.com/companies/tenstorrent
Markdown: https://jobsbyculture.com/companies/tenstorrent.md
Last updated: 2026-07-14

---
![Tenstorrent logo](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

# Tenstorrent

Jim Keller's AI Chip Company — Building the Future of Computing

The consensus on Tenstorrent: Choose Tenstorrent if you want to build next-generation AI silicon under one of computing's legendary architects — but the pace is intense and the problems are genuinely hard.

2016

Founded

Toronto

Headquarters

~1,100

Employees

~$2.6B

Valuation

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Culture Overview

## What it's _really_ like to work at Tenstorrent

Tenstorrent is where hardware meets ambition. Led by Jim Keller — the architect behind AMD's Zen, Apple's A-series, and Tesla's FSD chip — Tenstorrent is building open-source RISC-V processors and AI accelerators designed to challenge NVIDIA's dominance. The culture is engineering-first and unapologetically technical: flat hierarchy, hard problems at the silicon boundary, and a pace that matches the urgency of the AI hardware race. With $1.18B in total funding and offices across Toronto, Santa Clara, and Austin, this is the rare company where chip designers work alongside software engineers building the full stack from transistors to developer tools.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Flat Hierarchy](https://jobsbyculture.com/values/flat) [Many Hats](https://jobsbyculture.com/values/many-hats) [Learning & Growth](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Tenstorrent Glassdoor Ratings & _Employee Reviews_

3.6

Overall Glassdoor Score

Based on 67 reviews

Culture & Values 3.2

Work-Life Balance 3.5

Career Opportunities 3.8

Overall Rating 3.6

58% Recommend to a Friend

Employee Review Themes

## Working at Tenstorrent: _Pros & Cons_

### ✓ What employees love

-   ✓ Work on cutting-edge AI chip architecture under legendary CPU designer Jim Keller
-   ✓ Flat hierarchy — management described as "chill and very flexible"
-   ✓ Challenging, meaningful engineering problems at the hardware/software boundary
-   ✓ Strong career growth rated 3.8/5 — rare silicon design experience that's hard to get elsewhere

### ✗ What could be better

-   ✗ Intense workload with aggressive roadmaps — work-life balance can suffer
-   ✗ Culture can feel chaotic as the company scales rapidly past 1,000 employees
-   ✗ Mixed reviews on internal collaboration — some reports of siloed teams
-   ✗ Compensation competitive but equity upside uncertain pre-IPO

Engineering Culture

## How the _engineering_ team works

#### Hardware Stack

RISC-V Verilog SystemVerilog C++

#### Software Stack

Python C++ PyTorch MLIR

#### Product Focus

AI accelerators and RISC-V CPUs for data center and edge computing. Open-source software stack with the Tenstorrent developer platform. Building the alternative to NVIDIA's CUDA ecosystem.

#### Team Structure

Flat and engineering-first. Hardware, software, and ML teams work closely across Toronto, Santa Clara, Austin, and global offices. Engineers own full vertical slices from chip design to software tooling.

Open Positions

## Join the _Tenstorrent_ team

Explore open roles at Tenstorrent below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=tenstorrent)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Working at Cerebras Systems in 2026: IPO, Culture, Salary & Engineering](https://jobsbyculture.com/blog/working-at-cerebras-2026)



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## Document: Toast Glassdoor, Culture & Careers 2026 | JobsByCulture

# Toast Glassdoor, Culture & Careers 2026 | JobsByCulture

> Toast company profile: 3.8 Glassdoor, ~6,500 employees, NYSE: TOST. Work-life balance, culture reviews, and 300+ open careers at the restaurant tech platform.

Source: https://jobsbyculture.com/companies/toast
Markdown: https://jobsbyculture.com/companies/toast.md
Last updated: 2026-07-14

---
![Toast logo](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

# Toast

Restaurant Technology Platform — Powering 156,000+ Restaurants

The consensus on Toast: Choose Toast if you want product impact at massive scale with an inclusive engineering culture and public company stability — but expect return-to-office and some organizational friction.

2012

Founded

Boston, MA

Headquarters

~6,500

Employees

$6.1B

Revenue (2025)

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Culture Overview

## What it's _really_ like to work at Toast

Toast is the leading cloud-based restaurant technology platform, providing everything from point-of-sale systems and online ordering to payroll and marketing — all built specifically for the food service industry. With $6.1B in 2025 revenue and 156,000+ restaurant locations on the platform, Toast has established itself as the vertical SaaS leader in one of the world's oldest industries. The engineering culture is praised for its inclusivity and smart colleagues, though the company is navigating the tension between startup energy and public company structure. Engineers here build products that have tangible, daily impact on how restaurants run.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Learning & Growth](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact) [Diverse & Inclusive](https://jobsbyculture.com/values/diverse) [Strong Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Toast Glassdoor Ratings & _Employee Reviews_

3.8

Overall Glassdoor Score

Based on 1,657 reviews

Culture & Values 4.0

Work-Life Balance 3.7

Diversity & Inclusion 4.2

Career Opportunities 3.6

Overall Rating 3.8

69% Recommend to a Friend

Employee Review Themes

## Working at Toast: _Pros & Cons_

### ✓ What employees love

-   ✓ Inclusive, diverse culture — employees consistently mention feeling safe and comfortable
-   ✓ Smart engineering colleagues — strong mid-level and senior talent to learn from
-   ✓ Competitive comp with public company RSUs — stock has performed well
-   ✓ Real product impact — your code runs in 156,000+ restaurants daily

### ✗ What could be better

-   ✗ Return-to-office mandate pushed through despite employee opposition
-   ✗ Micromanagement from non-subject-matter experts in some teams
-   ✗ Career growth can stall — roles sometimes under-leveled vs. industry
-   ✗ Siloed departments with poor cross-team communication

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Java Kotlin React TypeScript AWS

#### Product

Full-stack restaurant operating system: POS, online ordering, delivery, kitchen display, payroll, marketing, and financial services. Built for the unique needs of food service.

#### Scale

156,000+ restaurant locations processing billions of transactions. Engineering challenges span real-time payments, offline resilience, and multi-location management. [Explore careers →](https://careers.toasttab.com?ref=jobsbyculture.com)

#### Team Structure

Engineering split across Boston HQ, Dublin, and Omaha. Teams organized by product domain (payments, ordering, marketing). Additional engineering leadership hired recently to improve team efficiency.

Open Positions

## Join the _Toast_ team

Explore open roles at Toast below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=toast)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ AI Layoffs 2026: 61,000+ Jobs Cut — Who's Actually Hiring](https://jobsbyculture.com/blog/ai-layoffs-2026-who-is-hiring)



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## Document: Together AI Culture & Jobs | JobsByCulture

# Together AI Culture & Jobs | JobsByCulture

> Together AI engineering culture: 4.1 Glassdoor, open-source AI infra, $3.3B. See 62 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/together
Markdown: https://jobsbyculture.com/companies/together.md
Last updated: 2026-07-14

---
![Together AI logo](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

# Together AI

Open-Source AI Infrastructure — Research Meets Production

The consensus on Together AI: Choose Together AI if you want real open-source mission with outsized research output — but expect to wear many hats.

2022

Founded by Vipul Ved Prakash

San Francisco

Headquarters

~300

Employees

~$3.3B

Valuation

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Culture Overview

## What it's _really_ like to work at Together AI

Founded in 2022 by Vipul Ved Prakash (CEO) and co-founders, Together AI is an open-source AI infrastructure company building training and inference platforms. The culture is deeply engineering-driven with a flat hierarchy where everyone wears multiple hats. Expect a collaborative, low-ego environment where open-source contributions are celebrated and research output punches well above the team size.

[Open-Source](https://jobsbyculture.com/values/open-source) [Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Learning](https://jobsbyculture.com/values/learning) [Flat Hierarchy](https://jobsbyculture.com/values/flat) [Many-Hats](https://jobsbyculture.com/values/many-hats)

Glassdoor Ratings

## Together AI Glassdoor Ratings & _Employee Reviews_

4.1

Overall Glassdoor Score

Based on 40 reviews

Culture & Values 4.3

Work-Life Balance 3.8

Compensation & Benefits 4.0

Career Opportunities 3.8

Senior Management 4.0

Overall Rating 4.1

82% Recommend to a Friend

85% CEO Approval

Employee Review Themes

## Working at Together AI: _Pros & Cons_

### ✓ What employees love

-   ✓ Open-source AI infrastructure — real mission alignment, not just marketing
-   ✓ Small team with outsized research output; your work has direct impact
-   ✓ Strong compensation for stage — competitive with much larger companies
-   ✓ Collaborative, low-ego culture where ideas win on merit

### ✗ What could be better

-   ✗ Early-stage means wearing many hats constantly — not for specialists
-   ✗ Limited career ladder; growth paths are still being defined
-   ✗ Fast-changing priorities as the AI infra landscape shifts rapidly
-   ✗ Less brand recognition than competitors like OpenAI or Anthropic

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python C++ CUDA

#### Open Source & Research

Major open-source contributions including RedPajama and FlashAttention. The team actively publishes research and ships production-grade open-source AI infrastructure.

#### Together Inference Engine

Custom-built inference engine optimized for high-throughput, low-latency serving of open-source models. [Learn more →](https://together.ai/?ref=jobsbyculture.com)

#### Team Structure

Flat, engineering-driven organization. Small autonomous teams with high ownership. Engineers drive projects end-to-end across the full stack from research to production.

Open Positions

## Join the _Together AI_ team

... open positions.

🌐 Remote

✕ Clear

[See all 62 Together AI jobs →](https://jobsbyculture.com/jobs?company=together)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ The $700B AI Infrastructure Boom: What It Means for Engineers in 2026](https://jobsbyculture.com/blog/ai-infrastructure-spending-boom-2026)
-   [→ $300B in Q1 2026: The AI Funding Boom & What It Means for Job Seekers](https://jobsbyculture.com/blog/ai-startup-funding-hiring-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)

### Compare Together AI

-   [→ Together AI vs Abridge](https://jobsbyculture.com/compare/abridge-vs-together)
-   [→ Together AI vs Adyen](https://jobsbyculture.com/compare/adyen-vs-together)
-   [→ Together AI vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-together)
-   [→ Together AI vs Airtable](https://jobsbyculture.com/compare/airtable-vs-together)
-   [→ Together AI vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-together)
-   [→ Together AI vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-together)
-   [→ Together AI vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-together)
-   [→ Together AI vs Asana](https://jobsbyculture.com/compare/asana-vs-together)
-   [→ Together AI vs Baseten](https://jobsbyculture.com/compare/baseten-vs-together)
-   [→ Together AI vs Brex](https://jobsbyculture.com/compare/brex-vs-together)
-   [→ Together AI vs Celonis](https://jobsbyculture.com/compare/celonis-vs-together)
-   [→ Together AI vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-together)
-   [→ Together AI vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-together)
-   [→ Together AI vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-together)
-   [→ Together AI vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-together)
-   [→ Together AI vs Cohere](https://jobsbyculture.com/compare/cohere-vs-together)
-   [→ Together AI vs Contentful](https://jobsbyculture.com/compare/contentful-vs-together)
-   [→ Together AI vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-together)
-   [→ Together AI vs Cresta](https://jobsbyculture.com/compare/cresta-vs-together)
-   [→ Together AI vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-together)
-   [→ Together AI vs Cursor](https://jobsbyculture.com/compare/cursor-vs-together)
-   [→ Together AI vs Databricks](https://jobsbyculture.com/compare/databricks-vs-together)
-   [→ Together AI vs Datadog](https://jobsbyculture.com/compare/datadog-vs-together)
-   [→ Together AI vs Decagon](https://jobsbyculture.com/compare/decagon-vs-together)
-   [→ Together AI vs DeepL](https://jobsbyculture.com/compare/deepl-vs-together)
-   [→ Together AI vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-together)
-   [→ Together AI vs Descript](https://jobsbyculture.com/compare/descript-vs-together)
-   [→ Together AI vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-together)
-   [→ Together AI vs Elastic](https://jobsbyculture.com/compare/elastic-vs-together)
-   [→ Together AI vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-together)
-   [→ Together AI vs Figma](https://jobsbyculture.com/compare/figma-vs-together)
-   [→ Together AI vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-together)
-   [→ Together AI vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-together)
-   [→ Together AI vs Glean](https://jobsbyculture.com/compare/glean-vs-together)
-   [→ Together AI vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-together)
-   [→ Together AI vs Granola](https://jobsbyculture.com/compare/granola-vs-together)
-   [→ Together AI vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-together)
-   [→ Together AI vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-together)
-   [→ Together AI vs Helsing](https://jobsbyculture.com/compare/helsing-vs-together)
-   [→ Together AI vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-together)
-   [→ Together AI vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-together)
-   [→ Together AI vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-together)
-   [→ Together AI vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-together)
-   [→ Together AI vs Lambda](https://jobsbyculture.com/compare/lambda-vs-together)
-   [→ Together AI vs LangChain](https://jobsbyculture.com/compare/langchain-vs-together)
-   [→ Together AI vs Linear](https://jobsbyculture.com/compare/linear-vs-together)
-   [→ Together AI vs Lovable](https://jobsbyculture.com/compare/lovable-vs-together)
-   [→ Together AI vs Mercor](https://jobsbyculture.com/compare/mercor-vs-together)
-   [→ Together AI vs Mercury](https://jobsbyculture.com/compare/mercury-vs-together)
-   [→ Together AI vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-together)
-   [→ Together AI vs Modal](https://jobsbyculture.com/compare/modal-vs-together)
-   [→ Together AI vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-together)
-   [→ Together AI vs n8n](https://jobsbyculture.com/compare/n8n-vs-together)
-   [→ Together AI vs Navan](https://jobsbyculture.com/compare/navan-vs-together)
-   [→ Together AI vs Notion](https://jobsbyculture.com/compare/notion-vs-together)
-   [→ Together AI vs OpenAI](https://jobsbyculture.com/compare/openai-vs-together)
-   [→ Together AI vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-together)
-   [→ Together AI vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-together)
-   [→ Together AI vs Plaid](https://jobsbyculture.com/compare/plaid-vs-together)
-   [→ Together AI vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-together)
-   [→ Together AI vs PostHog](https://jobsbyculture.com/compare/posthog-vs-together)
-   [→ Together AI vs Pylon](https://jobsbyculture.com/compare/pylon-vs-together)
-   [→ Together AI vs Ramp](https://jobsbyculture.com/compare/ramp-vs-together)
-   [→ Together AI vs Replit](https://jobsbyculture.com/compare/replit-vs-together)
-   [→ Together AI vs Runway](https://jobsbyculture.com/compare/runway-vs-together)
-   [→ Together AI vs Samsara](https://jobsbyculture.com/compare/samsara-vs-together)
-   [→ Together AI vs Scale AI](https://jobsbyculture.com/compare/scale-vs-together)
-   [→ Together AI vs Sierra AI](https://jobsbyculture.com/compare/sierra-vs-together)
-   [→ Together AI vs Snowflake](https://jobsbyculture.com/compare/snowflake-vs-together)
-   [→ Together AI vs Stripe](https://jobsbyculture.com/compare/stripe-vs-together)
-   [→ Together AI vs Suno](https://jobsbyculture.com/compare/suno-vs-together)
-   [→ Together AI vs Supabase](https://jobsbyculture.com/compare/supabase-vs-together)
-   [→ Together AI vs Synthesia](https://jobsbyculture.com/compare/synthesia-vs-together)
-   [→ Together AI vs Tailscale](https://jobsbyculture.com/compare/tailscale-vs-together)
-   [→ Together AI vs Twilio](https://jobsbyculture.com/compare/together-vs-twilio)
-   [→ Together AI vs Vanta](https://jobsbyculture.com/compare/together-vs-vanta)
-   [→ Together AI vs Vast AI](https://jobsbyculture.com/compare/together-vs-vast)
-   [→ Together AI vs Vercel](https://jobsbyculture.com/compare/together-vs-vercel)
-   [→ Together AI vs Wayve](https://jobsbyculture.com/compare/together-vs-wayve)
-   [→ Together AI vs Weaviate](https://jobsbyculture.com/compare/together-vs-weaviate)
-   [→ Together AI vs Webflow](https://jobsbyculture.com/compare/together-vs-webflow)
-   [→ Together AI vs Writer](https://jobsbyculture.com/compare/together-vs-writer)



🏢

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## Document: Twelve Labs Culture & Jobs | JobsByCulture

# Twelve Labs Culture & Jobs | JobsByCulture

> Twelve Labs engineering culture: 3.6 Glassdoor (estimated), video understanding AI infrastructure. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/twelve-labs
Markdown: https://jobsbyculture.com/companies/twelve-labs.md
Last updated: 2026-07-14

---
![Twelve Labs logo](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

# Twelve Labs

Building the World's Most Powerful Video Understanding AI Infrastructure

Innovative video AI with a collaborative culture, but compensation lags the market. Choose Twelve Labs if you want to work on cutting-edge multimodal AI in a flat org — but weigh the below-average pay.

2021

Founded

SF + Seoul

Headquarters

~100

Employees

Series B

Funding Stage

Free Work at Twelve Labs? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Twelve Labs

Twelve Labs is building foundation AI models that can accurately search, summarize, and understand video content at scale. Their Large Visual Language Models (VLMs) are trained on massive video datasets, and the platform is used by developers and enterprises worldwide. The company operates a hybrid model between San Francisco and Seoul, with a flat organizational structure. Reviews praise the passionate, collaborative team and cutting-edge technology, but flag below-average compensation and high attrition as concerns. The founding team has deep ML expertise.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Flat Hierarchy](https://jobsbyculture.com/values/flat) [Product Impact](https://jobsbyculture.com/values/product-impact)

Glassdoor Ratings

## Twelve Labs Glassdoor Ratings & _Employee Reviews_

3.6

Overall Glassdoor Score

Based on 6 Glassdoor reviews (estimated — low confidence)

Compensation & Benefits 4.0

Senior Management 3.6

Work-Life Balance 3.4

Overall Rating 3.6

~55% Recommend to a Friend (estimated)

73% CEO Approval

Employee Review Themes

## Working at Twelve Labs: _Pros & Cons_

### ✓ What employees love

-   ✓ Cutting-edge video understanding AI — unique niche with strong product-market fit
-   ✓ Flat org with real opportunities for growth and impact
-   ✓ Passionate, collaborative team across SF and Seoul
-   ✓ Well-funded (Series B, $100M+) with strong founding team

### ✗ What could be better

-   ✗ Pay reported as below average for the market
-   ✗ High attrition — the company is “always hiring”
-   ✗ Some reviews cite inexperienced leadership
-   ✗ Benefits described as expensive

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python PyTorch Video ML LLMs

#### Core Technology

Builds Large Visual Language Models (VLMs) for video understanding. The Twelve Labs API enables search, summarization, and classification across video content at scale.

#### Research Focus

Multimodal AI research with a focus on video foundation models. The team works on training large-scale VLMs on massive video datasets. [Read the blog →](https://www.twelvelabs.io/blog?ref=jobsbyculture.com)

#### Team Structure

Flat, startup-style organization with ~100 employees across San Francisco and Seoul. Small, autonomous teams with high ownership and direct product impact.

Open Positions

## Join the _Twelve Labs_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=twelve-labs)

Explore More

## Related _content_

### Similar Companies

-   [→ Runway](https://jobsbyculture.com/companies/runway)
-   [→ Descript](https://jobsbyculture.com/companies/descript)
-   [→ Synthesia](https://jobsbyculture.com/companies/synthesia)
-   [→ ElevenLabs](https://jobsbyculture.com/companies/elevenlabs)
-   [→ DeepMind](https://jobsbyculture.com/companies/deepmind)

### Browse by Culture

-   [→ Engineering-Driven Companies](https://jobsbyculture.com/values/eng-driven)
-   [→ Ship Fast Companies](https://jobsbyculture.com/values/ship-fast)
-   [→ Flat Hierarchy Companies](https://jobsbyculture.com/values/flat)
-   [→ Product Impact Companies](https://jobsbyculture.com/values/product-impact)

[View all companies →](https://jobsbyculture.com/companies)



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---

## Document: Twilio Glassdoor, Culture & Careers 2026 | JobsByCulture

# Twilio Glassdoor, Culture & Careers 2026 | JobsByCulture

> Twilio company profile: 3.9 Glassdoor, ~5,500 employees, $150k–$400k comp. Remote-first communications platform. Work-life balance, culture reviews, and 153 open roles.

Source: https://jobsbyculture.com/companies/twilio
Markdown: https://jobsbyculture.com/companies/twilio.md
Last updated: 2026-07-14

---
![Twilio logo](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

# Twilio

The Developer-First Cloud Communications Platform

The consensus on Twilio: A genuinely remote-first company with excellent work-life balance and strong engineering DNA — but be prepared for reorgs and a culture shifting from scrappy startup to corporate maturity.

2008

Founded

Remote-First

Work Model

~5,500

Employees

NYSE: TWLO

Public

Free Work at Twilio? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Twilio

Twilio pioneered the "API for everything" movement in communications, and its developer-first DNA still runs deep. Engineering accounts for roughly 45% of the company — 2,200+ engineers building the messaging, voice, video, and authentication infrastructure that powers millions of apps. Twilio's "Open Work" policy makes remote genuinely the default: over 3,000 employees work remotely or from distributed regional offices, and the company invests in intentional connection rather than mandating office days. Work-life balance is a real strength (4.2/5 on Glassdoor). The honest downside: Twilio has gone through multiple rounds of reorgs and layoffs as it matures into a profitable public company, and some long-tenured employees feel the culture has shifted from creative builders to a more corporate, shareholder-focused mindset.

[Remote](https://jobsbyculture.com/values/remote) [Work-Life Balance](https://jobsbyculture.com/values/wlb) [Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Open Source](https://jobsbyculture.com/values/open-source) [Strong Equity](https://jobsbyculture.com/values/equity) [Learning & Growth](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Twilio Glassdoor Ratings & _Employee Reviews_

3.9

Overall Glassdoor Score

Based on 2,065 reviews

Culture & Values 3.9

Work-Life Balance 4.2

Compensation & Benefits 4.2

Overall Rating 3.9

71% Recommend to a Friend

57% Positive Business Outlook

Employee Review Themes

## Working at Twilio: _Pros & Cons_

### ✓ What employees love

-   ✓ Genuine remote-first culture — "Open Work" policy with real flexibility, not lip service
-   ✓ Excellent work-life balance (4.2/5) — consistently praised across reviews
-   ✓ Strong compensation and benefits (4.2/5) — competitive RSUs and comprehensive perks
-   ✓ Developer-first engineering culture — 45% of the company is engineering

### ✗ What could be better

-   ✗ Frequent reorgs — some employees report 5 managers in a single year
-   ✗ Culture shift from creative builders to profit-driven shareholder focus
-   ✗ Management quality varies widely — inconsistent across teams
-   ✗ Growth has slowed — no longer the hyper-growth startup feeling

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Java Python Node.js React AWS Kubernetes

#### Scale

Twilio processes billions of interactions monthly across SMS, voice, video, and email. The platform handles massive scale with high reliability requirements — the kind of distributed systems problems that define careers.

#### Open Source

Twilio maintains extensive open-source SDKs for every major language, plus Twilio Labs projects and Firebase Extensions. [View on GitHub →](https://github.com/twilio?ref=jobsbyculture.com)

#### Product Lines

Communications APIs (messaging, voice, video), Twilio Segment (customer data platform), Twilio Flex (contact center), and Twilio Verify (authentication). Engineers can work across very different problem domains.

Open Positions

## Join the _Twilio_ team

Explore all 153 open roles at Twilio below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=twilio)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Only 19% of AI Companies Are Genuinely Remote-First: Our Data Across 118 Companies](https://jobsbyculture.com/blog/remote-work-ai-companies-data-2026)
-   [→ Twilio Compensation in 2026: Salary, RSUs & Total Comp by Level](https://jobsbyculture.com/blog/twilio-compensation-2026)
-   [→ The Two-Track Tech Job Market: Where 142K Layoffs and 537K Openings Coexist](https://jobsbyculture.com/blog/two-track-tech-job-market-2026)
-   [→ Working at Twilio in 2026: Remote Culture, Salary, Reorgs & What Employees Say](https://jobsbyculture.com/blog/working-at-twilio-2026)

### Compare Twilio

-   [→ Twilio vs Abridge](https://jobsbyculture.com/compare/abridge-vs-twilio)
-   [→ Twilio vs Adyen](https://jobsbyculture.com/compare/adyen-vs-twilio)
-   [→ Twilio vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-twilio)
-   [→ Twilio vs Airtable](https://jobsbyculture.com/compare/airtable-vs-twilio)
-   [→ Twilio vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-twilio)
-   [→ Twilio vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-twilio)
-   [→ Twilio vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-twilio)
-   [→ Twilio vs Asana](https://jobsbyculture.com/compare/asana-vs-twilio)
-   [→ Twilio vs Baseten](https://jobsbyculture.com/compare/baseten-vs-twilio)
-   [→ Twilio vs Brex](https://jobsbyculture.com/compare/brex-vs-twilio)
-   [→ Twilio vs Celonis](https://jobsbyculture.com/compare/celonis-vs-twilio)
-   [→ Twilio vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-twilio)
-   [→ Twilio vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-twilio)
-   [→ Twilio vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-twilio)
-   [→ Twilio vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-twilio)
-   [→ Twilio vs Cohere](https://jobsbyculture.com/compare/cohere-vs-twilio)
-   [→ Twilio vs Contentful](https://jobsbyculture.com/compare/contentful-vs-twilio)
-   [→ Twilio vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-twilio)
-   [→ Twilio vs Cresta](https://jobsbyculture.com/compare/cresta-vs-twilio)
-   [→ Twilio vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-twilio)
-   [→ Twilio vs Cursor](https://jobsbyculture.com/compare/cursor-vs-twilio)
-   [→ Twilio vs Databricks](https://jobsbyculture.com/compare/databricks-vs-twilio)
-   [→ Twilio vs Datadog](https://jobsbyculture.com/compare/datadog-vs-twilio)
-   [→ Twilio vs Decagon](https://jobsbyculture.com/compare/decagon-vs-twilio)
-   [→ Twilio vs DeepL](https://jobsbyculture.com/compare/deepl-vs-twilio)
-   [→ Twilio vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-twilio)
-   [→ Twilio vs Descript](https://jobsbyculture.com/compare/descript-vs-twilio)
-   [→ Twilio vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-twilio)
-   [→ Twilio vs Elastic](https://jobsbyculture.com/compare/elastic-vs-twilio)
-   [→ Twilio vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-twilio)
-   [→ Twilio vs Figma](https://jobsbyculture.com/compare/figma-vs-twilio)
-   [→ Twilio vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-twilio)
-   [→ Twilio vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-twilio)
-   [→ Twilio vs Glean](https://jobsbyculture.com/compare/glean-vs-twilio)
-   [→ Twilio vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-twilio)
-   [→ Twilio vs Granola](https://jobsbyculture.com/compare/granola-vs-twilio)
-   [→ Twilio vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-twilio)
-   [→ Twilio vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-twilio)
-   [→ Twilio vs Helsing](https://jobsbyculture.com/compare/helsing-vs-twilio)
-   [→ Twilio vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-twilio)
-   [→ Twilio vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-twilio)
-   [→ Twilio vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-twilio)
-   [→ Twilio vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-twilio)
-   [→ Twilio vs Lambda](https://jobsbyculture.com/compare/lambda-vs-twilio)
-   [→ Twilio vs LangChain](https://jobsbyculture.com/compare/langchain-vs-twilio)
-   [→ Twilio vs Linear](https://jobsbyculture.com/compare/linear-vs-twilio)
-   [→ Twilio vs Lovable](https://jobsbyculture.com/compare/lovable-vs-twilio)
-   [→ Twilio vs Mercor](https://jobsbyculture.com/compare/mercor-vs-twilio)
-   [→ Twilio vs Mercury](https://jobsbyculture.com/compare/mercury-vs-twilio)
-   [→ Twilio vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-twilio)
-   [→ Twilio vs Modal](https://jobsbyculture.com/compare/modal-vs-twilio)
-   [→ Twilio vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-twilio)
-   [→ Twilio vs n8n](https://jobsbyculture.com/compare/n8n-vs-twilio)
-   [→ Twilio vs Navan](https://jobsbyculture.com/compare/navan-vs-twilio)
-   [→ Twilio vs Notion](https://jobsbyculture.com/compare/notion-vs-twilio)
-   [→ Twilio vs OpenAI](https://jobsbyculture.com/compare/openai-vs-twilio)
-   [→ Twilio vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-twilio)
-   [→ Twilio vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-twilio)
-   [→ Twilio vs Plaid](https://jobsbyculture.com/compare/plaid-vs-twilio)
-   [→ Twilio vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-twilio)
-   [→ Twilio vs PostHog](https://jobsbyculture.com/compare/posthog-vs-twilio)
-   [→ Twilio vs Pylon](https://jobsbyculture.com/compare/pylon-vs-twilio)
-   [→ Twilio vs Ramp](https://jobsbyculture.com/compare/ramp-vs-twilio)
-   [→ Twilio vs Replit](https://jobsbyculture.com/compare/replit-vs-twilio)
-   [→ Twilio vs Runway](https://jobsbyculture.com/compare/runway-vs-twilio)
-   [→ Twilio vs Samsara](https://jobsbyculture.com/compare/samsara-vs-twilio)
-   [→ Twilio vs Scale AI](https://jobsbyculture.com/compare/scale-vs-twilio)
-   [→ Twilio vs Sierra AI](https://jobsbyculture.com/compare/sierra-vs-twilio)
-   [→ Twilio vs Snowflake](https://jobsbyculture.com/compare/snowflake-vs-twilio)
-   [→ Twilio vs Stripe](https://jobsbyculture.com/compare/stripe-vs-twilio)
-   [→ Twilio vs Suno](https://jobsbyculture.com/compare/suno-vs-twilio)
-   [→ Twilio vs Supabase](https://jobsbyculture.com/compare/supabase-vs-twilio)
-   [→ Twilio vs Synthesia](https://jobsbyculture.com/compare/synthesia-vs-twilio)
-   [→ Twilio vs Tailscale](https://jobsbyculture.com/compare/tailscale-vs-twilio)
-   [→ Twilio vs Together AI](https://jobsbyculture.com/compare/together-vs-twilio)
-   [→ Twilio vs Vanta](https://jobsbyculture.com/compare/twilio-vs-vanta)
-   [→ Twilio vs Vast AI](https://jobsbyculture.com/compare/twilio-vs-vast)
-   [→ Twilio vs Vercel](https://jobsbyculture.com/compare/twilio-vs-vercel)
-   [→ Twilio vs Wayve](https://jobsbyculture.com/compare/twilio-vs-wayve)
-   [→ Twilio vs Weaviate](https://jobsbyculture.com/compare/twilio-vs-weaviate)
-   [→ Twilio vs Webflow](https://jobsbyculture.com/compare/twilio-vs-webflow)
-   [→ Twilio vs Writer](https://jobsbyculture.com/compare/twilio-vs-writer)



🏢

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We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Vanta Culture & Jobs | JobsByCulture

# Vanta Culture & Jobs | JobsByCulture

> Vanta engineering culture: 3.3 Glassdoor, 3.0 WLB, security compliance automation leader. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/vanta
Markdown: https://jobsbyculture.com/companies/vanta.md
Last updated: 2026-07-14

---
![Vanta logo](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

# Vanta

Security Compliance Automation — Trust Management for Modern Companies

The consensus on Vanta: Pays well and owns its market niche, but the meeting-heavy culture and low WLB score (3.0/5) signal this is not for anyone seeking balance.

2018

Founded

San Francisco

Headquarters

~1,200

Employees

$4.15B

Valuation

Free Work at Vanta? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Vanta

Vanta is the category leader in security compliance automation, helping companies get SOC 2, ISO 27001, and HIPAA certified faster. The compensation is strong (rated 4.0/5 — best category) and the product is market-defining. However, the culture is meeting-heavy with work frequently spilling into nights and weekends. Sales reviews consistently flag targets that are widely considered aggressive. The WLB score of 3.0/5 is one of the lowest in our database.

[Product Impact](https://jobsbyculture.com/values/product-impact) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Vanta Glassdoor Ratings & _Employee Reviews_

3.3

Overall Glassdoor Score

Based on 212 employee reviews

Culture & Values3.3

Compensation & Benefits4.0

Senior Management3.3

Career Opportunities3.3

Work-Life Balance3.0

Overall Rating3.3

53% Recommend to a Friend

80% CEO Approval (Christina Cacioppo)

Employee Review Themes

## Working at Vanta: _Pros & Cons_

### ✓ What employees love

-   ✓Strong compensation rated 4.0/5 — best category score
-   ✓Market-defining product in security compliance automation
-   ✓Category leader with strong product-market fit and growth

### ✗ What could be better

-   ✗Brutal meeting culture pushing work into nights and weekends
-   ✗Sales quotas widely seen as aggressive in employee reviews
-   ✗WLB score of 3.0/5 is among the lowest in the industry

Open Positions

## Join the _Vanta_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=vanta)

Explore More

## Related _content_

### Blog Posts

-   [→ Vanta Interview Prep 2026: Process, Questions & What to Expect](https://jobsbyculture.com/blog/vanta-interview-prep-2026)
-   [→ Working at Vanta in 2026: Top Pay, Low WLB & What 200 Reviews Say](https://jobsbyculture.com/blog/working-at-vanta-2026)

### Compare Vanta

-   [→ Vanta vs Abridge](https://jobsbyculture.com/compare/abridge-vs-vanta)
-   [→ Vanta vs Adyen](https://jobsbyculture.com/compare/adyen-vs-vanta)
-   [→ Vanta vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-vanta)
-   [→ Vanta vs Airtable](https://jobsbyculture.com/compare/airtable-vs-vanta)
-   [→ Vanta vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-vanta)
-   [→ Vanta vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-vanta)
-   [→ Vanta vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-vanta)
-   [→ Vanta vs Asana](https://jobsbyculture.com/compare/asana-vs-vanta)
-   [→ Vanta vs Baseten](https://jobsbyculture.com/compare/baseten-vs-vanta)
-   [→ Vanta vs Brex](https://jobsbyculture.com/compare/brex-vs-vanta)
-   [→ Vanta vs Celonis](https://jobsbyculture.com/compare/celonis-vs-vanta)
-   [→ Vanta vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-vanta)
-   [→ Vanta vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-vanta)
-   [→ Vanta vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-vanta)
-   [→ Vanta vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-vanta)
-   [→ Vanta vs Cohere](https://jobsbyculture.com/compare/cohere-vs-vanta)
-   [→ Vanta vs Contentful](https://jobsbyculture.com/compare/contentful-vs-vanta)
-   [→ Vanta vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-vanta)
-   [→ Vanta vs Cresta](https://jobsbyculture.com/compare/cresta-vs-vanta)
-   [→ Vanta vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-vanta)
-   [→ Vanta vs Cursor](https://jobsbyculture.com/compare/cursor-vs-vanta)
-   [→ Vanta vs Databricks](https://jobsbyculture.com/compare/databricks-vs-vanta)
-   [→ Vanta vs Datadog](https://jobsbyculture.com/compare/datadog-vs-vanta)
-   [→ Vanta vs Decagon](https://jobsbyculture.com/compare/decagon-vs-vanta)
-   [→ Vanta vs DeepL](https://jobsbyculture.com/compare/deepl-vs-vanta)
-   [→ Vanta vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-vanta)
-   [→ Vanta vs Descript](https://jobsbyculture.com/compare/descript-vs-vanta)
-   [→ Vanta vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-vanta)
-   [→ Vanta vs Elastic](https://jobsbyculture.com/compare/elastic-vs-vanta)
-   [→ Vanta vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-vanta)
-   [→ Vanta vs Figma](https://jobsbyculture.com/compare/figma-vs-vanta)
-   [→ Vanta vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-vanta)
-   [→ Vanta vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-vanta)
-   [→ Vanta vs Glean](https://jobsbyculture.com/compare/glean-vs-vanta)
-   [→ Vanta vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-vanta)
-   [→ Vanta vs Granola](https://jobsbyculture.com/compare/granola-vs-vanta)
-   [→ Vanta vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-vanta)
-   [→ Vanta vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-vanta)
-   [→ Vanta vs Helsing](https://jobsbyculture.com/compare/helsing-vs-vanta)
-   [→ Vanta vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-vanta)
-   [→ Vanta vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-vanta)
-   [→ Vanta vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-vanta)
-   [→ Vanta vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-vanta)
-   [→ Vanta vs Lambda](https://jobsbyculture.com/compare/lambda-vs-vanta)
-   [→ Vanta vs LangChain](https://jobsbyculture.com/compare/langchain-vs-vanta)
-   [→ Vanta vs Linear](https://jobsbyculture.com/compare/linear-vs-vanta)
-   [→ Vanta vs Lovable](https://jobsbyculture.com/compare/lovable-vs-vanta)
-   [→ Vanta vs Mercor](https://jobsbyculture.com/compare/mercor-vs-vanta)
-   [→ Vanta vs Mercury](https://jobsbyculture.com/compare/mercury-vs-vanta)
-   [→ Vanta vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-vanta)
-   [→ Vanta vs Modal](https://jobsbyculture.com/compare/modal-vs-vanta)
-   [→ Vanta vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-vanta)
-   [→ Vanta vs n8n](https://jobsbyculture.com/compare/n8n-vs-vanta)
-   [→ Vanta vs Navan](https://jobsbyculture.com/compare/navan-vs-vanta)
-   [→ Vanta vs Notion](https://jobsbyculture.com/compare/notion-vs-vanta)
-   [→ Vanta vs OpenAI](https://jobsbyculture.com/compare/openai-vs-vanta)
-   [→ Vanta vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-vanta)
-   [→ Vanta vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-vanta)
-   [→ Vanta vs Plaid](https://jobsbyculture.com/compare/plaid-vs-vanta)
-   [→ Vanta vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-vanta)
-   [→ Vanta vs PostHog](https://jobsbyculture.com/compare/posthog-vs-vanta)
-   [→ Vanta vs Pylon](https://jobsbyculture.com/compare/pylon-vs-vanta)
-   [→ Vanta vs Ramp](https://jobsbyculture.com/compare/ramp-vs-vanta)
-   [→ Vanta vs Replit](https://jobsbyculture.com/compare/replit-vs-vanta)
-   [→ Vanta vs Runway](https://jobsbyculture.com/compare/runway-vs-vanta)
-   [→ Vanta vs Samsara](https://jobsbyculture.com/compare/samsara-vs-vanta)
-   [→ Vanta vs Scale AI](https://jobsbyculture.com/compare/scale-vs-vanta)
-   [→ Vanta vs Sierra AI](https://jobsbyculture.com/compare/sierra-vs-vanta)
-   [→ Vanta vs Snowflake](https://jobsbyculture.com/compare/snowflake-vs-vanta)
-   [→ Vanta vs Stripe](https://jobsbyculture.com/compare/stripe-vs-vanta)
-   [→ Vanta vs Suno](https://jobsbyculture.com/compare/suno-vs-vanta)
-   [→ Vanta vs Supabase](https://jobsbyculture.com/compare/supabase-vs-vanta)
-   [→ Vanta vs Synthesia](https://jobsbyculture.com/compare/synthesia-vs-vanta)
-   [→ Vanta vs Tailscale](https://jobsbyculture.com/compare/tailscale-vs-vanta)
-   [→ Vanta vs Together AI](https://jobsbyculture.com/compare/together-vs-vanta)
-   [→ Vanta vs Twilio](https://jobsbyculture.com/compare/twilio-vs-vanta)
-   [→ Vanta vs Vast AI](https://jobsbyculture.com/compare/vanta-vs-vast)
-   [→ Vanta vs Vercel](https://jobsbyculture.com/compare/vanta-vs-vercel)
-   [→ Vanta vs Wayve](https://jobsbyculture.com/compare/vanta-vs-wayve)
-   [→ Vanta vs Weaviate](https://jobsbyculture.com/compare/vanta-vs-weaviate)
-   [→ Vanta vs Webflow](https://jobsbyculture.com/compare/vanta-vs-webflow)
-   [→ Vanta vs Writer](https://jobsbyculture.com/compare/vanta-vs-writer)

🏢

### Claim _Vanta_

Take ownership of your company's culture profile.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

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---

## Document: Vast AI Culture & Jobs | JobsByCulture

# Vast AI Culture & Jobs | JobsByCulture

> Vast AI engineering culture: 5.0 Glassdoor, decentralized GPU cloud marketplace. See 0 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/vast
Markdown: https://jobsbyculture.com/companies/vast.md
Last updated: 2026-07-14

---
![Vast AI logo](https://www.google.com/s2/favicons?domain=vast.ai&sz=128)

# Vast AI

Decentralized GPU Cloud Marketplace — The Cheapest Way to Run AI Compute

The consensus on Vast AI: Choose Vast AI if you want perfect Glassdoor scores and generous equity at a tiny GPU marketplace — but expect startup chaos.

2018

Founded

Los Angeles

Headquarters

~38

Employees

Bootstrapped

Profitable

Free Work at Vast AI? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Vast AI

Founded in 2018 by Jake Cannell (CEO) and Christian Horne, Vast AI operates the world’s largest decentralized GPU cloud marketplace — connecting 1,400+ GPU providers across 500+ locations with AI researchers and companies who need cheap compute. With ~38 employees managing 17,000+ GPUs, the culture is intensely engineering-driven and flat. Everyone reports directly to the CEO, and the team is bootstrapped, profitable, and moving fast. Expect a high-ownership, startup-intensity environment where technical depth matters more than titles.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Flat Org](https://jobsbyculture.com/values/flat) [Many Hats](https://jobsbyculture.com/values/many-hats) [Strong Equity](https://jobsbyculture.com/values/equity)

Glassdoor Ratings

## Vast AI Glassdoor Ratings & _Employee Reviews_

5.0

Overall Glassdoor Score

Based on ~2 reviews

ⓘ Very small sample size — ratings based on only 2 Glassdoor reviews. Take with a grain of salt.

Culture & Values 5.0

Compensation & Benefits 5.0

Senior Management 5.0

Career Opportunities 5.0

Work-Life Balance 3.8

Overall Rating 5.0

100% Business Outlook

100% CEO Approval (Jake Cannell)

Employee Review Themes

## Working at Vast AI: _Pros & Cons_

### ✓ What employees love

-   ✓ Front-row seat to the AI compute revolution — demand for GPU cloud is surging
-   ✓ Strong compensation and generous equity stakes for a bootstrapped startup
-   ✓ Direct access to leadership — all technical roles report to the CEO
-   ✓ Bootstrapped and profitable — no VC pressure or burn-rate anxiety
-   ✓ Mission-driven around democratizing GPU compute and making AI accessible

### ✗ What could be better

-   ✗ Processes are still being defined — expect ad hoc workflows at this stage
-   ✗ Intense workload — the team explicitly values high output and long hours
-   ✗ Small team (~30 people) means wearing many hats and broad responsibilities
-   ✗ Limited career ladder and role specialization at this company size

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python C++ CUDA Docker Kubernetes PostgreSQL

#### GPU Marketplace

Decentralized marketplace connecting 1,400+ GPU providers across 500+ locations globally. 17,000+ GPUs available including NVIDIA H100, A100, RTX 4090, and AMD support. Prices 60-80% cheaper than hyperscalers.

#### Open Source

Maintains [vast-cli](https://github.com/vast-ai?ref=jobsbyculture.com), vast-sdk, base images, and serverless workers on GitHub. Fork of SkyPilot for multi-cloud GPU orchestration. MIT licensed. [Learn more →](https://vast.ai/?ref=jobsbyculture.com)

#### Team Structure

Flat hierarchy — all engineers report directly to CEO Jake Cannell. SOC 2 Type II certified. On-site culture across LA and SF offices with emphasis on deep technical work.

Open Positions

## Join the _Vast AI_ team

Explore all 0 open roles below. Every listing links directly to the original posting.

[See all 0 Vast AI jobs →](https://jobsbyculture.com/jobs?company=vast)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)
-   [→ Best AI Companies for WLB in SF (2026)](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-san-francisco-2026)

### Compare Vast AI

-   [→ Vast AI vs Abridge](https://jobsbyculture.com/compare/abridge-vs-vast)
-   [→ Vast AI vs Adyen](https://jobsbyculture.com/compare/adyen-vs-vast)
-   [→ Vast AI vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-vast)
-   [→ Vast AI vs Airtable](https://jobsbyculture.com/compare/airtable-vs-vast)
-   [→ Vast AI vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-vast)
-   [→ Vast AI vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-vast)
-   [→ Vast AI vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-vast)
-   [→ Vast AI vs Asana](https://jobsbyculture.com/compare/asana-vs-vast)
-   [→ Vast AI vs Baseten](https://jobsbyculture.com/compare/baseten-vs-vast)
-   [→ Vast AI vs Brex](https://jobsbyculture.com/compare/brex-vs-vast)
-   [→ Vast AI vs Celonis](https://jobsbyculture.com/compare/celonis-vs-vast)
-   [→ Vast AI vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-vast)
-   [→ Vast AI vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-vast)
-   [→ Vast AI vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-vast)
-   [→ Vast AI vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-vast)
-   [→ Vast AI vs Cohere](https://jobsbyculture.com/compare/cohere-vs-vast)
-   [→ Vast AI vs Contentful](https://jobsbyculture.com/compare/contentful-vs-vast)
-   [→ Vast AI vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-vast)
-   [→ Vast AI vs Cresta](https://jobsbyculture.com/compare/cresta-vs-vast)
-   [→ Vast AI vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-vast)
-   [→ Vast AI vs Cursor](https://jobsbyculture.com/compare/cursor-vs-vast)
-   [→ Vast AI vs Databricks](https://jobsbyculture.com/compare/databricks-vs-vast)
-   [→ Vast AI vs Datadog](https://jobsbyculture.com/compare/datadog-vs-vast)
-   [→ Vast AI vs Decagon](https://jobsbyculture.com/compare/decagon-vs-vast)
-   [→ Vast AI vs DeepL](https://jobsbyculture.com/compare/deepl-vs-vast)
-   [→ Vast AI vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-vast)
-   [→ Vast AI vs Descript](https://jobsbyculture.com/compare/descript-vs-vast)
-   [→ Vast AI vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-vast)
-   [→ Vast AI vs Elastic](https://jobsbyculture.com/compare/elastic-vs-vast)
-   [→ Vast AI vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-vast)
-   [→ Vast AI vs Figma](https://jobsbyculture.com/compare/figma-vs-vast)
-   [→ Vast AI vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-vast)
-   [→ Vast AI vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-vast)
-   [→ Vast AI vs Glean](https://jobsbyculture.com/compare/glean-vs-vast)
-   [→ Vast AI vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-vast)
-   [→ Vast AI vs Granola](https://jobsbyculture.com/compare/granola-vs-vast)
-   [→ Vast AI vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-vast)
-   [→ Vast AI vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-vast)
-   [→ Vast AI vs Helsing](https://jobsbyculture.com/compare/helsing-vs-vast)
-   [→ Vast AI vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-vast)
-   [→ Vast AI vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-vast)
-   [→ Vast AI vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-vast)
-   [→ Vast AI vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-vast)
-   [→ Vast AI vs Lambda](https://jobsbyculture.com/compare/lambda-vs-vast)
-   [→ Vast AI vs LangChain](https://jobsbyculture.com/compare/langchain-vs-vast)
-   [→ Vast AI vs Linear](https://jobsbyculture.com/compare/linear-vs-vast)
-   [→ Vast AI vs Lovable](https://jobsbyculture.com/compare/lovable-vs-vast)
-   [→ Vast AI vs Mercor](https://jobsbyculture.com/compare/mercor-vs-vast)
-   [→ Vast AI vs Mercury](https://jobsbyculture.com/compare/mercury-vs-vast)
-   [→ Vast AI vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-vast)
-   [→ Vast AI vs Modal](https://jobsbyculture.com/compare/modal-vs-vast)
-   [→ Vast AI vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-vast)
-   [→ Vast AI vs n8n](https://jobsbyculture.com/compare/n8n-vs-vast)
-   [→ Vast AI vs Navan](https://jobsbyculture.com/compare/navan-vs-vast)
-   [→ Vast AI vs Notion](https://jobsbyculture.com/compare/notion-vs-vast)
-   [→ Vast AI vs OpenAI](https://jobsbyculture.com/compare/openai-vs-vast)
-   [→ Vast AI vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-vast)
-   [→ Vast AI vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-vast)
-   [→ Vast AI vs Plaid](https://jobsbyculture.com/compare/plaid-vs-vast)
-   [→ Vast AI vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-vast)
-   [→ Vast AI vs PostHog](https://jobsbyculture.com/compare/posthog-vs-vast)
-   [→ Vast AI vs Pylon](https://jobsbyculture.com/compare/pylon-vs-vast)
-   [→ Vast AI vs Ramp](https://jobsbyculture.com/compare/ramp-vs-vast)
-   [→ Vast AI vs Replit](https://jobsbyculture.com/compare/replit-vs-vast)
-   [→ Vast AI vs Runway](https://jobsbyculture.com/compare/runway-vs-vast)
-   [→ Vast AI vs Samsara](https://jobsbyculture.com/compare/samsara-vs-vast)
-   [→ Vast AI vs Scale AI](https://jobsbyculture.com/compare/scale-vs-vast)
-   [→ Vast AI vs Sierra AI](https://jobsbyculture.com/compare/sierra-vs-vast)
-   [→ Vast AI vs Snowflake](https://jobsbyculture.com/compare/snowflake-vs-vast)
-   [→ Vast AI vs Stripe](https://jobsbyculture.com/compare/stripe-vs-vast)
-   [→ Vast AI vs Suno](https://jobsbyculture.com/compare/suno-vs-vast)
-   [→ Vast AI vs Supabase](https://jobsbyculture.com/compare/supabase-vs-vast)
-   [→ Vast AI vs Synthesia](https://jobsbyculture.com/compare/synthesia-vs-vast)
-   [→ Vast AI vs Tailscale](https://jobsbyculture.com/compare/tailscale-vs-vast)
-   [→ Vast AI vs Together AI](https://jobsbyculture.com/compare/together-vs-vast)
-   [→ Vast AI vs Twilio](https://jobsbyculture.com/compare/twilio-vs-vast)
-   [→ Vast AI vs Vanta](https://jobsbyculture.com/compare/vanta-vs-vast)
-   [→ Vast AI vs Vercel](https://jobsbyculture.com/compare/vast-vs-vercel)
-   [→ Vast AI vs Wayve](https://jobsbyculture.com/compare/vast-vs-wayve)
-   [→ Vast AI vs Weaviate](https://jobsbyculture.com/compare/vast-vs-weaviate)
-   [→ Vast AI vs Webflow](https://jobsbyculture.com/compare/vast-vs-webflow)
-   [→ Vast AI vs Writer](https://jobsbyculture.com/compare/vast-vs-writer)



🏢

### Claim _Vast AI_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

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---

## Document: Vercel Culture & Jobs | JobsByCulture

# Vercel Culture & Jobs | JobsByCulture

> Vercel engineering culture: 3.9 Glassdoor, Next.js creators, ship-fast. See 67 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/vercel
Markdown: https://jobsbyculture.com/companies/vercel.md
Last updated: 2026-07-14

---
![Vercel logo](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

# Vercel

Frontend Cloud — Creators of Next.js & Turbopack

The consensus on Vercel: Choose Vercel if you want to build Next.js and edge runtime — but the pace is relentless and standards are sky-high.

2015

Founded by Guillermo Rauch

San Francisco

Headquarters

~900

Employees

~$9.3B

Valuation

Free Work at Vercel? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Vercel

Founded in 2015 by Guillermo Rauch, Vercel is the company behind Next.js and Turbopack. The culture is deeply engineering-driven with a ship-fast mentality that permeates every team. Remote-first with strong async communication, Vercel empowers small teams to have outsized impact on the future of web infrastructure. Expect weekly releases, open-source contributions, and a product-obsessed environment where frontend developers set the pace.

[Ship-Fast](https://jobsbyculture.com/values/ship-fast) [Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Product Impact](https://jobsbyculture.com/values/product-impact) [Open Source](https://jobsbyculture.com/values/open-source)

Glassdoor Ratings

## Vercel Glassdoor Ratings & _Employee Reviews_

3.9

Overall Glassdoor Score

Based on 150 reviews

Culture & Values 3.8

Work-Life Balance 3.4

Compensation & Benefits 4.0

Career Opportunities 3.5

Senior Management 3.5

Overall Rating 3.9

72% Recommend to a Friend

78% CEO Approval (Guillermo Rauch)

Employee Review Themes

## Working at Vercel: _Pros & Cons_

### ✓ What employees love

-   ✓ Building the future of web infrastructure — Next.js, Turbopack, and the edge runtime
-   ✓ Remote-first with strong async culture — true flexibility in how and where you work
-   ✓ Ship-fast mentality is real — weekly releases and rapid iteration cycles
-   ✓ Strong open-source community impact — your work is used by millions of developers

### ✗ What could be better

-   ✗ High expectations and fast pace can lead to burnout over time
-   ✗ Leadership sets very high standards — the pace and expectations aren't for everyone
-   ✗ Some teams have unclear ownership boundaries as the company scales
-   ✗ Compensation is competitive but not top-tier compared to FAANG

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

TypeScript Rust Go

#### Open Source

Creators of Next.js, Turbopack, and SWC. Vercel's open-source projects power millions of production sites worldwide.

#### Infrastructure

Edge runtime and serverless architecture. Building the frontend cloud with global deployments, edge functions, and instant rollbacks.

#### Team Culture

Small, autonomous teams with high ownership. Remote-first with async communication. Engineers ship directly to production with confidence. [Read the blog →](https://vercel.com/blog?ref=jobsbyculture.com)

Open Positions

## Join the _Vercel_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=vercel)

Explore More

## Related _content_

### Blog Posts

-   [→ Agentic AI Jobs Grew 280% in 2026 — The Roles, Salaries & Companies Hiring Now](https://jobsbyculture.com/blog/agentic-ai-hiring-boom-2026)
-   [→ How AI Coding Tools Are Reshaping Developer Hiring in 2026](https://jobsbyculture.com/blog/ai-coding-tools-reshaping-developer-hiring-2026)
-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ 50+ AI Engineer Interview Questions in 2026 (Real Questions, Honest Answers)](https://jobsbyculture.com/blog/ai-engineer-interview-questions-2026)
-   [→ AI Engineer Salary Guide 2026: What Companies Actually Pay by Level](https://jobsbyculture.com/blog/ai-engineer-salary-guide-by-level-2026)

### Compare Vercel

-   [→ Vercel vs Abridge](https://jobsbyculture.com/compare/abridge-vs-vercel)
-   [→ Vercel vs Adyen](https://jobsbyculture.com/compare/adyen-vs-vercel)
-   [→ Vercel vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-vercel)
-   [→ Vercel vs Airtable](https://jobsbyculture.com/compare/airtable-vs-vercel)
-   [→ Vercel vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-vercel)
-   [→ Vercel vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-vercel)
-   [→ Vercel vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-vercel)
-   [→ Vercel vs Asana](https://jobsbyculture.com/compare/asana-vs-vercel)
-   [→ Vercel vs Baseten](https://jobsbyculture.com/compare/baseten-vs-vercel)
-   [→ Vercel vs Brex](https://jobsbyculture.com/compare/brex-vs-vercel)
-   [→ Vercel vs Celonis](https://jobsbyculture.com/compare/celonis-vs-vercel)
-   [→ Vercel vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-vercel)
-   [→ Vercel vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-vercel)
-   [→ Vercel vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-vercel)
-   [→ Vercel vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-vercel)
-   [→ Vercel vs Cohere](https://jobsbyculture.com/compare/cohere-vs-vercel)
-   [→ Vercel vs Contentful](https://jobsbyculture.com/compare/contentful-vs-vercel)
-   [→ Vercel vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-vercel)
-   [→ Vercel vs Cresta](https://jobsbyculture.com/compare/cresta-vs-vercel)
-   [→ Vercel vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-vercel)
-   [→ Vercel vs Cursor](https://jobsbyculture.com/compare/cursor-vs-vercel)
-   [→ Vercel vs Databricks](https://jobsbyculture.com/compare/databricks-vs-vercel)
-   [→ Vercel vs Datadog](https://jobsbyculture.com/compare/datadog-vs-vercel)
-   [→ Vercel vs Decagon](https://jobsbyculture.com/compare/decagon-vs-vercel)
-   [→ Vercel vs DeepL](https://jobsbyculture.com/compare/deepl-vs-vercel)
-   [→ Vercel vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-vercel)
-   [→ Vercel vs Descript](https://jobsbyculture.com/compare/descript-vs-vercel)
-   [→ Vercel vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-vercel)
-   [→ Vercel vs Elastic](https://jobsbyculture.com/compare/elastic-vs-vercel)
-   [→ Vercel vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-vercel)
-   [→ Vercel vs Figma](https://jobsbyculture.com/compare/figma-vs-vercel)
-   [→ Vercel vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-vercel)
-   [→ Vercel vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-vercel)
-   [→ Vercel vs Glean](https://jobsbyculture.com/compare/glean-vs-vercel)
-   [→ Vercel vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-vercel)
-   [→ Vercel vs Granola](https://jobsbyculture.com/compare/granola-vs-vercel)
-   [→ Vercel vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-vercel)
-   [→ Vercel vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-vercel)
-   [→ Vercel vs Helsing](https://jobsbyculture.com/compare/helsing-vs-vercel)
-   [→ Vercel vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-vercel)
-   [→ Vercel vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-vercel)
-   [→ Vercel vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-vercel)
-   [→ Vercel vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-vercel)
-   [→ Vercel vs Lambda](https://jobsbyculture.com/compare/lambda-vs-vercel)
-   [→ Vercel vs LangChain](https://jobsbyculture.com/compare/langchain-vs-vercel)
-   [→ Vercel vs Linear](https://jobsbyculture.com/compare/linear-vs-vercel)
-   [→ Vercel vs Lovable](https://jobsbyculture.com/compare/lovable-vs-vercel)
-   [→ Vercel vs Mercor](https://jobsbyculture.com/compare/mercor-vs-vercel)
-   [→ Vercel vs Mercury](https://jobsbyculture.com/compare/mercury-vs-vercel)
-   [→ Vercel vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-vercel)
-   [→ Vercel vs Modal](https://jobsbyculture.com/compare/modal-vs-vercel)
-   [→ Vercel vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-vercel)
-   [→ Vercel vs n8n](https://jobsbyculture.com/compare/n8n-vs-vercel)
-   [→ Vercel vs Navan](https://jobsbyculture.com/compare/navan-vs-vercel)
-   [→ Vercel vs Notion](https://jobsbyculture.com/compare/notion-vs-vercel)
-   [→ Vercel vs OpenAI](https://jobsbyculture.com/compare/openai-vs-vercel)
-   [→ Vercel vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-vercel)
-   [→ Vercel vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-vercel)
-   [→ Vercel vs Plaid](https://jobsbyculture.com/compare/plaid-vs-vercel)
-   [→ Vercel vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-vercel)
-   [→ Vercel vs PostHog](https://jobsbyculture.com/compare/posthog-vs-vercel)
-   [→ Vercel vs Pylon](https://jobsbyculture.com/compare/pylon-vs-vercel)
-   [→ Vercel vs Ramp](https://jobsbyculture.com/compare/ramp-vs-vercel)
-   [→ Vercel vs Replit](https://jobsbyculture.com/compare/replit-vs-vercel)
-   [→ Vercel vs Runway](https://jobsbyculture.com/compare/runway-vs-vercel)
-   [→ Vercel vs Samsara](https://jobsbyculture.com/compare/samsara-vs-vercel)
-   [→ Vercel vs Scale AI](https://jobsbyculture.com/compare/scale-vs-vercel)
-   [→ Vercel vs Sierra AI](https://jobsbyculture.com/compare/sierra-vs-vercel)
-   [→ Vercel vs Snowflake](https://jobsbyculture.com/compare/snowflake-vs-vercel)
-   [→ Vercel vs Stripe](https://jobsbyculture.com/compare/stripe-vs-vercel)
-   [→ Vercel vs Suno](https://jobsbyculture.com/compare/suno-vs-vercel)
-   [→ Vercel vs Supabase](https://jobsbyculture.com/compare/supabase-vs-vercel)
-   [→ Vercel vs Synthesia](https://jobsbyculture.com/compare/synthesia-vs-vercel)
-   [→ Vercel vs Tailscale](https://jobsbyculture.com/compare/tailscale-vs-vercel)
-   [→ Vercel vs Together AI](https://jobsbyculture.com/compare/together-vs-vercel)
-   [→ Vercel vs Twilio](https://jobsbyculture.com/compare/twilio-vs-vercel)
-   [→ Vercel vs Vanta](https://jobsbyculture.com/compare/vanta-vs-vercel)
-   [→ Vercel vs Vast AI](https://jobsbyculture.com/compare/vast-vs-vercel)
-   [→ Vercel vs netlify](https://jobsbyculture.com/compare/vercel-vs-netlify)
-   [→ Vercel vs Stripe](https://jobsbyculture.com/compare/vercel-vs-stripe)
-   [→ Vercel vs Wayve](https://jobsbyculture.com/compare/vercel-vs-wayve)
-   [→ Vercel vs Weaviate](https://jobsbyculture.com/compare/vercel-vs-weaviate)
-   [→ Vercel vs Webflow](https://jobsbyculture.com/compare/vercel-vs-webflow)
-   [→ Vercel vs Writer](https://jobsbyculture.com/compare/vercel-vs-writer)



🏢

### Claim _Vercel_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

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## Document: Wayve Culture & Jobs | JobsByCulture

# Wayve Culture & Jobs | JobsByCulture

> Wayve engineering culture: 4.4 Glassdoor, 3.9 WLB, autonomous driving AI unicorn. See open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/wayve
Markdown: https://jobsbyculture.com/companies/wayve.md
Last updated: 2026-07-14

---
![Wayve logo](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

# Wayve

Autonomous Driving AI — End-to-End Deep Learning for Self-Driving Vehicles

The consensus on Wayve: Genuinely inclusive culture with humble founders and creative freedom, but the ambitious pace of solving autonomous driving creates burnout risk and career paths aren't always clear.

2017

Founded

London

Headquarters

~850

Employees

$8.6B

Valuation

Free Work at Wayve? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Wayve

Wayve is a London-based autonomous driving company that uses end-to-end deep learning rather than hand-coded rules. With over $2.5B raised across Series C and Series D and an $8.6B valuation, it's one of Europe's most valuable AI startups. The culture is praised for being genuinely inclusive and collaborative, with humble founders who encourage creative freedom. However, the sheer ambition of solving self-driving with AI means the pace can be relentless, and career progression frameworks are still maturing.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Learning](https://jobsbyculture.com/values/learning) [Product Impact](https://jobsbyculture.com/values/product-impact) [Diverse](https://jobsbyculture.com/values/diverse) [Ship Fast](https://jobsbyculture.com/values/ship-fast)

Glassdoor Ratings

## Wayve Glassdoor Ratings & _Employee Reviews_

4.4

Overall Glassdoor Score

Based on employee reviews

Culture & Values 4.5

Compensation & Benefits 4.2

Senior Management 4.3

Career Opportunities 4.0

Work-Life Balance 3.9

Overall Rating 4.4

90% Recommend to a Friend

Employee Review Themes

## Working at Wayve: _Pros & Cons_

### ✓ What employees love

-   ✓Great inclusive culture with genuinely humble and approachable founders
-   ✓Creative freedom to explore novel approaches to autonomous driving
-   ✓World-class ML research team pushing the boundaries of end-to-end learning
-   ✓Diverse team with strong collaborative spirit across departments

### ✗ What could be better

-   ✗Unclear career progression — leveling frameworks still maturing
-   ✗Burnout risk from the ambitious pace of solving autonomous driving
-   ✗Rapid headcount growth can create communication overhead

Open Positions

## Join the _Wayve_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=wayve)

Explore More

## Related _content_

### Blog Posts

-   [→ The Two-Speed Tech Hiring Market in 2026: AI vs Everything Else](https://jobsbyculture.com/blog/two-speed-tech-hiring-market-2026)
-   [→ Working at Wayve in 2026: $8.6B AV2.0 Bet, London Robotaxis & Culture](https://jobsbyculture.com/blog/working-at-wayve-2026)

### Compare Wayve

-   [→ Wayve vs Abridge](https://jobsbyculture.com/compare/abridge-vs-wayve)
-   [→ Wayve vs Adyen](https://jobsbyculture.com/compare/adyen-vs-wayve)
-   [→ Wayve vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-wayve)
-   [→ Wayve vs Airtable](https://jobsbyculture.com/compare/airtable-vs-wayve)
-   [→ Wayve vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-wayve)
-   [→ Wayve vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-wayve)
-   [→ Wayve vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-wayve)
-   [→ Wayve vs Asana](https://jobsbyculture.com/compare/asana-vs-wayve)
-   [→ Wayve vs Baseten](https://jobsbyculture.com/compare/baseten-vs-wayve)
-   [→ Wayve vs Brex](https://jobsbyculture.com/compare/brex-vs-wayve)
-   [→ Wayve vs Celonis](https://jobsbyculture.com/compare/celonis-vs-wayve)
-   [→ Wayve vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-wayve)
-   [→ Wayve vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-wayve)
-   [→ Wayve vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-wayve)
-   [→ Wayve vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-wayve)
-   [→ Wayve vs Cohere](https://jobsbyculture.com/compare/cohere-vs-wayve)
-   [→ Wayve vs Contentful](https://jobsbyculture.com/compare/contentful-vs-wayve)
-   [→ Wayve vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-wayve)
-   [→ Wayve vs Cresta](https://jobsbyculture.com/compare/cresta-vs-wayve)
-   [→ Wayve vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-wayve)
-   [→ Wayve vs Cursor](https://jobsbyculture.com/compare/cursor-vs-wayve)
-   [→ Wayve vs Databricks](https://jobsbyculture.com/compare/databricks-vs-wayve)
-   [→ Wayve vs Datadog](https://jobsbyculture.com/compare/datadog-vs-wayve)
-   [→ Wayve vs Decagon](https://jobsbyculture.com/compare/decagon-vs-wayve)
-   [→ Wayve vs DeepL](https://jobsbyculture.com/compare/deepl-vs-wayve)
-   [→ Wayve vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-wayve)
-   [→ Wayve vs Descript](https://jobsbyculture.com/compare/descript-vs-wayve)
-   [→ Wayve vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-wayve)
-   [→ Wayve vs Elastic](https://jobsbyculture.com/compare/elastic-vs-wayve)
-   [→ Wayve vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-wayve)
-   [→ Wayve vs Figma](https://jobsbyculture.com/compare/figma-vs-wayve)
-   [→ Wayve vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-wayve)
-   [→ Wayve vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-wayve)
-   [→ Wayve vs Glean](https://jobsbyculture.com/compare/glean-vs-wayve)
-   [→ Wayve vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-wayve)
-   [→ Wayve vs Granola](https://jobsbyculture.com/compare/granola-vs-wayve)
-   [→ Wayve vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-wayve)
-   [→ Wayve vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-wayve)
-   [→ Wayve vs Helsing](https://jobsbyculture.com/compare/helsing-vs-wayve)
-   [→ Wayve vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-wayve)
-   [→ Wayve vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-wayve)
-   [→ Wayve vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-wayve)
-   [→ Wayve vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-wayve)
-   [→ Wayve vs Lambda](https://jobsbyculture.com/compare/lambda-vs-wayve)
-   [→ Wayve vs LangChain](https://jobsbyculture.com/compare/langchain-vs-wayve)
-   [→ Wayve vs Linear](https://jobsbyculture.com/compare/linear-vs-wayve)
-   [→ Wayve vs Lovable](https://jobsbyculture.com/compare/lovable-vs-wayve)
-   [→ Wayve vs Mercor](https://jobsbyculture.com/compare/mercor-vs-wayve)
-   [→ Wayve vs Mercury](https://jobsbyculture.com/compare/mercury-vs-wayve)
-   [→ Wayve vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-wayve)
-   [→ Wayve vs Modal](https://jobsbyculture.com/compare/modal-vs-wayve)
-   [→ Wayve vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-wayve)
-   [→ Wayve vs n8n](https://jobsbyculture.com/compare/n8n-vs-wayve)
-   [→ Wayve vs Navan](https://jobsbyculture.com/compare/navan-vs-wayve)
-   [→ Wayve vs Notion](https://jobsbyculture.com/compare/notion-vs-wayve)
-   [→ Wayve vs OpenAI](https://jobsbyculture.com/compare/openai-vs-wayve)
-   [→ Wayve vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-wayve)
-   [→ Wayve vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-wayve)
-   [→ Wayve vs Plaid](https://jobsbyculture.com/compare/plaid-vs-wayve)
-   [→ Wayve vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-wayve)
-   [→ Wayve vs PostHog](https://jobsbyculture.com/compare/posthog-vs-wayve)
-   [→ Wayve vs Pylon](https://jobsbyculture.com/compare/pylon-vs-wayve)
-   [→ Wayve vs Ramp](https://jobsbyculture.com/compare/ramp-vs-wayve)
-   [→ Wayve vs Replit](https://jobsbyculture.com/compare/replit-vs-wayve)
-   [→ Wayve vs Runway](https://jobsbyculture.com/compare/runway-vs-wayve)
-   [→ Wayve vs Samsara](https://jobsbyculture.com/compare/samsara-vs-wayve)
-   [→ Wayve vs Scale AI](https://jobsbyculture.com/compare/scale-vs-wayve)
-   [→ Wayve vs Sierra AI](https://jobsbyculture.com/compare/sierra-vs-wayve)
-   [→ Wayve vs Snowflake](https://jobsbyculture.com/compare/snowflake-vs-wayve)
-   [→ Wayve vs Stripe](https://jobsbyculture.com/compare/stripe-vs-wayve)
-   [→ Wayve vs Suno](https://jobsbyculture.com/compare/suno-vs-wayve)
-   [→ Wayve vs Supabase](https://jobsbyculture.com/compare/supabase-vs-wayve)
-   [→ Wayve vs Synthesia](https://jobsbyculture.com/compare/synthesia-vs-wayve)
-   [→ Wayve vs Tailscale](https://jobsbyculture.com/compare/tailscale-vs-wayve)
-   [→ Wayve vs Together AI](https://jobsbyculture.com/compare/together-vs-wayve)
-   [→ Wayve vs Twilio](https://jobsbyculture.com/compare/twilio-vs-wayve)
-   [→ Wayve vs Vanta](https://jobsbyculture.com/compare/vanta-vs-wayve)
-   [→ Wayve vs Vast AI](https://jobsbyculture.com/compare/vast-vs-wayve)
-   [→ Wayve vs Vercel](https://jobsbyculture.com/compare/vercel-vs-wayve)
-   [→ Wayve vs Weaviate](https://jobsbyculture.com/compare/wayve-vs-weaviate)
-   [→ Wayve vs Webflow](https://jobsbyculture.com/compare/wayve-vs-webflow)
-   [→ Wayve vs Writer](https://jobsbyculture.com/compare/wayve-vs-writer)



🏢

### Claim _Wayve_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Weaviate Culture & Jobs | JobsByCulture

# Weaviate Culture & Jobs | JobsByCulture

> Weaviate engineering culture: 4.3 Glassdoor, open-source vector database, remote-first. See 4 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/weaviate
Markdown: https://jobsbyculture.com/companies/weaviate.md
Last updated: 2026-07-14

---
![Weaviate logo](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

# Weaviate

Open-Source Vector Database — AI-Native Search, RAG, and Hybrid Retrieval

The consensus on Weaviate: Choose Weaviate if you want to build foundational AI infrastructure with a world-class open-source community and genuine ownership — but expect startup ambiguity and fewer large-company resources.

2019

Founded

Amsterdam

Headquarters

~110

Employees

$200M

Valuation

Free Work at Weaviate? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Weaviate

Founded in 2019 by Bob van Luijt (CEO) and Etienne Dilocker (CTO) in Amsterdam, Weaviate is an open-source AI-native vector database with 14,000+ GitHub stars and 2,000+ companies in production. The culture is remote-first, async-driven, and deeply collaborative. Engineers have broad ownership and work on foundational infrastructure powering the AI application stack.

[Open Source](https://jobsbyculture.com/values/open-source)[Remote-First](https://jobsbyculture.com/values/remote)[Eng-Driven](https://jobsbyculture.com/values/eng-driven)[Transparent](https://jobsbyculture.com/values/transparent)[Learning](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Weaviate Glassdoor Ratings & _Employee Reviews_

4.3

Overall Glassdoor Score

Based on 31 reviews

Culture & Values4.5

Compensation & Benefits4.2

Work-Life Balance4.2

Career Opportunities4.1

Senior Management4.2

Overall Rating4.3

82% Recommend to a Friend

80% CEO Approval (Bob van Luijt)

Employee Review Themes

## Working at Weaviate: _Pros & Cons_

### ✓ What employees love

-   ✓Sharp, humble, collaborative colleagues with zero-ego culture and accessible leadership
-   ✓Remote-first done well — async communication, time-zone respect, and genuine flexibility
-   ✓High autonomy and ownership — engineers own meaningful surface areas, not just tickets
-   ✓Exciting frontier product — foundational AI infrastructure directly relevant to the LLM wave
-   ✓Open-source community with 14,000+ GitHub stars and strong developer love

### ✗ What could be better

-   ✗Fast pace and ambiguity — structure and processes are still being built
-   ✗Small company constraints — fewer resources and benefits compared to large tech
-   ✗Priorities shift — role expectations can be unclear during growth phases
-   ✗Competitive vector DB market creates uncertainty about long-term positioning

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

GoPythonGraphQLgRPCHNSW

#### Open Source

Core database is fully open-source (github.com/weaviate/weaviate) with 14,000+ stars. Client SDKs in Python, TypeScript, Go, and Java. [View on GitHub →](https://github.com/weaviate/weaviate?ref=jobsbyculture.com)

#### Key Features

Hybrid SearchMulti-TenancyRAGCloud Services

#### Team Structure

Fully remote-first, distributed across Europe, US, Canada, and Asia-Pacific. Small, ~110 person team with async-first communication and documented playbook culture.

Open Positions

## Join the _Weaviate_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=weaviate)

Explore More

## Related _content_

### Blog Posts

-   [→ AI Company Employee Counts 2026: Headcount Data for 40 Top Companies](https://jobsbyculture.com/blog/ai-company-employee-count-2026)
-   [→ AI Hiring Trends 2026: Which Companies Are Hiring the Most (and Fastest)](https://jobsbyculture.com/blog/ai-hiring-trends-2026)
-   [→ The AI Talent War in 2026: 1.6M Open Roles, 518K Qualified Candidates](https://jobsbyculture.com/blog/ai-talent-war-2026)
-   [→ Best AI Companies to Work For in 2026](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)
-   [→ Best AI Companies for Work-Life Balance in 2026](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026)

### Compare Weaviate

-   [→ Weaviate vs Abridge](https://jobsbyculture.com/compare/abridge-vs-weaviate)
-   [→ Weaviate vs Adyen](https://jobsbyculture.com/compare/adyen-vs-weaviate)
-   [→ Weaviate vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-weaviate)
-   [→ Weaviate vs Airtable](https://jobsbyculture.com/compare/airtable-vs-weaviate)
-   [→ Weaviate vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-weaviate)
-   [→ Weaviate vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-weaviate)
-   [→ Weaviate vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-weaviate)
-   [→ Weaviate vs Asana](https://jobsbyculture.com/compare/asana-vs-weaviate)
-   [→ Weaviate vs Baseten](https://jobsbyculture.com/compare/baseten-vs-weaviate)
-   [→ Weaviate vs Brex](https://jobsbyculture.com/compare/brex-vs-weaviate)
-   [→ Weaviate vs Celonis](https://jobsbyculture.com/compare/celonis-vs-weaviate)
-   [→ Weaviate vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-weaviate)
-   [→ Weaviate vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-weaviate)
-   [→ Weaviate vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-weaviate)
-   [→ Weaviate vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-weaviate)
-   [→ Weaviate vs Cohere](https://jobsbyculture.com/compare/cohere-vs-weaviate)
-   [→ Weaviate vs Contentful](https://jobsbyculture.com/compare/contentful-vs-weaviate)
-   [→ Weaviate vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-weaviate)
-   [→ Weaviate vs Cresta](https://jobsbyculture.com/compare/cresta-vs-weaviate)
-   [→ Weaviate vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-weaviate)
-   [→ Weaviate vs Cursor](https://jobsbyculture.com/compare/cursor-vs-weaviate)
-   [→ Weaviate vs Databricks](https://jobsbyculture.com/compare/databricks-vs-weaviate)
-   [→ Weaviate vs Datadog](https://jobsbyculture.com/compare/datadog-vs-weaviate)
-   [→ Weaviate vs Decagon](https://jobsbyculture.com/compare/decagon-vs-weaviate)
-   [→ Weaviate vs DeepL](https://jobsbyculture.com/compare/deepl-vs-weaviate)
-   [→ Weaviate vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-weaviate)
-   [→ Weaviate vs Descript](https://jobsbyculture.com/compare/descript-vs-weaviate)
-   [→ Weaviate vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-weaviate)
-   [→ Weaviate vs Elastic](https://jobsbyculture.com/compare/elastic-vs-weaviate)
-   [→ Weaviate vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-weaviate)
-   [→ Weaviate vs Figma](https://jobsbyculture.com/compare/figma-vs-weaviate)
-   [→ Weaviate vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-weaviate)
-   [→ Weaviate vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-weaviate)
-   [→ Weaviate vs Glean](https://jobsbyculture.com/compare/glean-vs-weaviate)
-   [→ Weaviate vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-weaviate)
-   [→ Weaviate vs Granola](https://jobsbyculture.com/compare/granola-vs-weaviate)
-   [→ Weaviate vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-weaviate)
-   [→ Weaviate vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-weaviate)
-   [→ Weaviate vs Helsing](https://jobsbyculture.com/compare/helsing-vs-weaviate)
-   [→ Weaviate vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-weaviate)
-   [→ Weaviate vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-weaviate)
-   [→ Weaviate vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-weaviate)
-   [→ Weaviate vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-weaviate)
-   [→ Weaviate vs Lambda](https://jobsbyculture.com/compare/lambda-vs-weaviate)
-   [→ Weaviate vs LangChain](https://jobsbyculture.com/compare/langchain-vs-weaviate)
-   [→ Weaviate vs Linear](https://jobsbyculture.com/compare/linear-vs-weaviate)
-   [→ Weaviate vs Lovable](https://jobsbyculture.com/compare/lovable-vs-weaviate)
-   [→ Weaviate vs Mercor](https://jobsbyculture.com/compare/mercor-vs-weaviate)
-   [→ Weaviate vs Mercury](https://jobsbyculture.com/compare/mercury-vs-weaviate)
-   [→ Weaviate vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-weaviate)
-   [→ Weaviate vs Modal](https://jobsbyculture.com/compare/modal-vs-weaviate)
-   [→ Weaviate vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-weaviate)
-   [→ Weaviate vs n8n](https://jobsbyculture.com/compare/n8n-vs-weaviate)
-   [→ Weaviate vs Navan](https://jobsbyculture.com/compare/navan-vs-weaviate)
-   [→ Weaviate vs Notion](https://jobsbyculture.com/compare/notion-vs-weaviate)
-   [→ Weaviate vs OpenAI](https://jobsbyculture.com/compare/openai-vs-weaviate)
-   [→ Weaviate vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-weaviate)
-   [→ Weaviate vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-weaviate)
-   [→ Weaviate vs Plaid](https://jobsbyculture.com/compare/plaid-vs-weaviate)
-   [→ Weaviate vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-weaviate)
-   [→ Weaviate vs PostHog](https://jobsbyculture.com/compare/posthog-vs-weaviate)
-   [→ Weaviate vs Pylon](https://jobsbyculture.com/compare/pylon-vs-weaviate)
-   [→ Weaviate vs Ramp](https://jobsbyculture.com/compare/ramp-vs-weaviate)
-   [→ Weaviate vs Replit](https://jobsbyculture.com/compare/replit-vs-weaviate)
-   [→ Weaviate vs Runway](https://jobsbyculture.com/compare/runway-vs-weaviate)
-   [→ Weaviate vs Samsara](https://jobsbyculture.com/compare/samsara-vs-weaviate)
-   [→ Weaviate vs Scale AI](https://jobsbyculture.com/compare/scale-vs-weaviate)
-   [→ Weaviate vs Sierra AI](https://jobsbyculture.com/compare/sierra-vs-weaviate)
-   [→ Weaviate vs Snowflake](https://jobsbyculture.com/compare/snowflake-vs-weaviate)
-   [→ Weaviate vs Stripe](https://jobsbyculture.com/compare/stripe-vs-weaviate)
-   [→ Weaviate vs Suno](https://jobsbyculture.com/compare/suno-vs-weaviate)
-   [→ Weaviate vs Supabase](https://jobsbyculture.com/compare/supabase-vs-weaviate)
-   [→ Weaviate vs Synthesia](https://jobsbyculture.com/compare/synthesia-vs-weaviate)
-   [→ Weaviate vs Tailscale](https://jobsbyculture.com/compare/tailscale-vs-weaviate)
-   [→ Weaviate vs Together AI](https://jobsbyculture.com/compare/together-vs-weaviate)
-   [→ Weaviate vs Twilio](https://jobsbyculture.com/compare/twilio-vs-weaviate)
-   [→ Weaviate vs Vanta](https://jobsbyculture.com/compare/vanta-vs-weaviate)
-   [→ Weaviate vs Vast AI](https://jobsbyculture.com/compare/vast-vs-weaviate)
-   [→ Weaviate vs Vercel](https://jobsbyculture.com/compare/vercel-vs-weaviate)
-   [→ Weaviate vs Wayve](https://jobsbyculture.com/compare/wayve-vs-weaviate)
-   [→ Weaviate vs Webflow](https://jobsbyculture.com/compare/weaviate-vs-webflow)
-   [→ Weaviate vs Writer](https://jobsbyculture.com/compare/weaviate-vs-writer)



🏢

### Claim _Weaviate_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

✓

### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Webflow Glassdoor, Culture & Careers 2026 | JobsByCulture

# Webflow Glassdoor, Culture & Careers 2026 | JobsByCulture

> Webflow company profile: 3.7 Glassdoor, ~1,300 employees, $4B valuation. Remote-first visual web development platform. Culture reviews, work-life balance, and open careers.

Source: https://jobsbyculture.com/companies/webflow
Markdown: https://jobsbyculture.com/companies/webflow.md
Last updated: 2026-07-14

---
![Webflow logo](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

# Webflow

Visual Web Development Platform — No-Code Meets Professional Power

The consensus on Webflow: A remote-first platform where product engineers thrive and work-life balance is genuine — but recent leadership transitions have introduced uncertainty about direction and culture.

2013

Founded

San Francisco

Headquarters

~1,300

Employees

~$4B

Valuation

Free Work at Webflow? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Webflow

Webflow has built a genuinely remote-first culture since going fully distributed, and employees consistently praise the work-life balance as one of the best in tech. Engineers take deep pride in the product — building a visual development platform that millions of designers and developers rely on daily creates a strong sense of purpose. The team is collaborative and smart, with strong enablement and learning programs. However, recent leadership changes and strategic shifts have created real uncertainty. Long-tenured employees note that the culture has evolved, feedback channels have narrowed, and some of the original startup energy has given way to growing pains at scale.

[Eng-Driven](https://jobsbyculture.com/values/eng-driven) [Product-Impact](https://jobsbyculture.com/values/product-impact) [Remote-First](https://jobsbyculture.com/values/remote) [Work-Life Balance](https://jobsbyculture.com/values/wlb) [Learning & Growth](https://jobsbyculture.com/values/learning)

Glassdoor Ratings

## Webflow Glassdoor Ratings & _Employee Reviews_

3.7

Overall Glassdoor Score

Based on 139 reviews

Culture & Values 3.8

Work-Life Balance 4.0

Compensation & Benefits 3.6

Career Opportunities 3.5

Senior Management 3.3

Overall Rating 3.7

65% Recommend to a Friend

Employee Review Themes

## Working at Webflow: _Pros & Cons_

### ✓ What employees love

-   ✓ Genuinely remote-first with healthy work-life balance — no performative hustle culture
-   ✓ Product engineers love the platform — building tools that empower creators is deeply motivating
-   ✓ Smart, collaborative colleagues who genuinely care about craft and quality
-   ✓ Strong enablement and learning programs — dedicated L&D budget and growth opportunities

### ✗ What could be better

-   ✗ Recent leadership changes have shifted the culture and created strategic uncertainty
-   ✗ Onboarding could be stronger — new hires sometimes feel left to figure things out
-   ✗ Job security concerns after multiple rounds of organizational changes
-   ✗ Feedback channels have narrowed — employee voice feels less heard than before

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

React Node.js MongoDB AWS

#### Product

Visual web development platform that bridges the gap between design and code. Powers millions of websites with a no-code builder that generates production-quality HTML, CSS, and JavaScript.

#### Engineering Philosophy

End-to-end ownership with iterative shipping. Engineers own features from design through production, with a strong emphasis on craft, performance, and developer experience. [See open roles →](https://webflow.com/careers?ref=jobsbyculture.com)

#### Team Structure

Cross-functional squads distributed globally. Teams are organized around product areas with engineering, design, and product working closely together in a remote-first environment.

Open Positions

## Join the _Webflow_ team

Explore open roles at Webflow below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=webflow)

Explore More

## Related _content_

### Blog Posts

-   [→ Building a Career in Developer Tools in 2026: Why DevTools Is Where the Best Engineers Go](https://jobsbyculture.com/blog/building-career-in-devtools-2026)
-   [→ Only 19% of AI Companies Are Genuinely Remote-First: Our Data Across 118 Companies](https://jobsbyculture.com/blog/remote-work-ai-companies-data-2026)
-   [→ The Engineering Retention Playbook: Why Your Best Engineers Leave (and How to Keep Them)](https://jobsbyculture.com/blog/retention-playbook-engineering-teams-2026)
-   [→ Twilio Compensation in 2026: Salary, RSUs & Total Comp by Level](https://jobsbyculture.com/blog/twilio-compensation-2026)
-   [→ Working at Twilio in 2026: Remote Culture, Salary, Reorgs & What Employees Say](https://jobsbyculture.com/blog/working-at-twilio-2026)

### Compare Webflow

-   [→ Webflow vs Abridge](https://jobsbyculture.com/compare/abridge-vs-webflow)
-   [→ Webflow vs Adyen](https://jobsbyculture.com/compare/adyen-vs-webflow)
-   [→ Webflow vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-webflow)
-   [→ Webflow vs Airtable](https://jobsbyculture.com/compare/airtable-vs-webflow)
-   [→ Webflow vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-webflow)
-   [→ Webflow vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-webflow)
-   [→ Webflow vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-webflow)
-   [→ Webflow vs Asana](https://jobsbyculture.com/compare/asana-vs-webflow)
-   [→ Webflow vs Baseten](https://jobsbyculture.com/compare/baseten-vs-webflow)
-   [→ Webflow vs Brex](https://jobsbyculture.com/compare/brex-vs-webflow)
-   [→ Webflow vs Celonis](https://jobsbyculture.com/compare/celonis-vs-webflow)
-   [→ Webflow vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-webflow)
-   [→ Webflow vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-webflow)
-   [→ Webflow vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-webflow)
-   [→ Webflow vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-webflow)
-   [→ Webflow vs Cohere](https://jobsbyculture.com/compare/cohere-vs-webflow)
-   [→ Webflow vs Contentful](https://jobsbyculture.com/compare/contentful-vs-webflow)
-   [→ Webflow vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-webflow)
-   [→ Webflow vs Cresta](https://jobsbyculture.com/compare/cresta-vs-webflow)
-   [→ Webflow vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-webflow)
-   [→ Webflow vs Cursor](https://jobsbyculture.com/compare/cursor-vs-webflow)
-   [→ Webflow vs Databricks](https://jobsbyculture.com/compare/databricks-vs-webflow)
-   [→ Webflow vs Datadog](https://jobsbyculture.com/compare/datadog-vs-webflow)
-   [→ Webflow vs Decagon](https://jobsbyculture.com/compare/decagon-vs-webflow)
-   [→ Webflow vs DeepL](https://jobsbyculture.com/compare/deepl-vs-webflow)
-   [→ Webflow vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-webflow)
-   [→ Webflow vs Descript](https://jobsbyculture.com/compare/descript-vs-webflow)
-   [→ Webflow vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-webflow)
-   [→ Webflow vs Elastic](https://jobsbyculture.com/compare/elastic-vs-webflow)
-   [→ Webflow vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-webflow)
-   [→ Webflow vs Figma](https://jobsbyculture.com/compare/figma-vs-webflow)
-   [→ Webflow vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-webflow)
-   [→ Webflow vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-webflow)
-   [→ Webflow vs Glean](https://jobsbyculture.com/compare/glean-vs-webflow)
-   [→ Webflow vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-webflow)
-   [→ Webflow vs Granola](https://jobsbyculture.com/compare/granola-vs-webflow)
-   [→ Webflow vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-webflow)
-   [→ Webflow vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-webflow)
-   [→ Webflow vs Helsing](https://jobsbyculture.com/compare/helsing-vs-webflow)
-   [→ Webflow vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-webflow)
-   [→ Webflow vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-webflow)
-   [→ Webflow vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-webflow)
-   [→ Webflow vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-webflow)
-   [→ Webflow vs Lambda](https://jobsbyculture.com/compare/lambda-vs-webflow)
-   [→ Webflow vs LangChain](https://jobsbyculture.com/compare/langchain-vs-webflow)
-   [→ Webflow vs Linear](https://jobsbyculture.com/compare/linear-vs-webflow)
-   [→ Webflow vs Lovable](https://jobsbyculture.com/compare/lovable-vs-webflow)
-   [→ Webflow vs Mercor](https://jobsbyculture.com/compare/mercor-vs-webflow)
-   [→ Webflow vs Mercury](https://jobsbyculture.com/compare/mercury-vs-webflow)
-   [→ Webflow vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-webflow)
-   [→ Webflow vs Modal](https://jobsbyculture.com/compare/modal-vs-webflow)
-   [→ Webflow vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-webflow)
-   [→ Webflow vs n8n](https://jobsbyculture.com/compare/n8n-vs-webflow)
-   [→ Webflow vs Navan](https://jobsbyculture.com/compare/navan-vs-webflow)
-   [→ Webflow vs Notion](https://jobsbyculture.com/compare/notion-vs-webflow)
-   [→ Webflow vs OpenAI](https://jobsbyculture.com/compare/openai-vs-webflow)
-   [→ Webflow vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-webflow)
-   [→ Webflow vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-webflow)
-   [→ Webflow vs Plaid](https://jobsbyculture.com/compare/plaid-vs-webflow)
-   [→ Webflow vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-webflow)
-   [→ Webflow vs PostHog](https://jobsbyculture.com/compare/posthog-vs-webflow)
-   [→ Webflow vs Pylon](https://jobsbyculture.com/compare/pylon-vs-webflow)
-   [→ Webflow vs Ramp](https://jobsbyculture.com/compare/ramp-vs-webflow)
-   [→ Webflow vs Replit](https://jobsbyculture.com/compare/replit-vs-webflow)
-   [→ Webflow vs Runway](https://jobsbyculture.com/compare/runway-vs-webflow)
-   [→ Webflow vs Samsara](https://jobsbyculture.com/compare/samsara-vs-webflow)
-   [→ Webflow vs Scale AI](https://jobsbyculture.com/compare/scale-vs-webflow)
-   [→ Webflow vs Sierra AI](https://jobsbyculture.com/compare/sierra-vs-webflow)
-   [→ Webflow vs Snowflake](https://jobsbyculture.com/compare/snowflake-vs-webflow)
-   [→ Webflow vs Stripe](https://jobsbyculture.com/compare/stripe-vs-webflow)
-   [→ Webflow vs Suno](https://jobsbyculture.com/compare/suno-vs-webflow)
-   [→ Webflow vs Supabase](https://jobsbyculture.com/compare/supabase-vs-webflow)
-   [→ Webflow vs Synthesia](https://jobsbyculture.com/compare/synthesia-vs-webflow)
-   [→ Webflow vs Tailscale](https://jobsbyculture.com/compare/tailscale-vs-webflow)
-   [→ Webflow vs Together AI](https://jobsbyculture.com/compare/together-vs-webflow)
-   [→ Webflow vs Twilio](https://jobsbyculture.com/compare/twilio-vs-webflow)
-   [→ Webflow vs Vanta](https://jobsbyculture.com/compare/vanta-vs-webflow)
-   [→ Webflow vs Vast AI](https://jobsbyculture.com/compare/vast-vs-webflow)
-   [→ Webflow vs Vercel](https://jobsbyculture.com/compare/vercel-vs-webflow)
-   [→ Webflow vs Wayve](https://jobsbyculture.com/compare/wayve-vs-webflow)
-   [→ Webflow vs Weaviate](https://jobsbyculture.com/compare/weaviate-vs-webflow)
-   [→ Webflow vs Writer](https://jobsbyculture.com/compare/webflow-vs-writer)



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## Document: WorkOS Culture & Jobs | JobsByCulture

# WorkOS Culture & Jobs | JobsByCulture

> WorkOS engineering culture: 4.0 Glassdoor, developer-first enterprise auth APIs. See 23 open roles and real employee reviews.

Source: https://jobsbyculture.com/companies/workos
Markdown: https://jobsbyculture.com/companies/workos.md
Last updated: 2026-07-14

---
![WorkOS logo](https://www.google.com/s2/favicons?domain=workos.com&sz=128)

# WorkOS

Developer-First Enterprise Auth — SSO, Directory Sync, User Management & Audit Logs

Developer-first enterprise auth with a kindness-driven culture. Choose WorkOS if you want genuine WLB, a beloved dev tools product, and a small team where your work matters — but expect startup intensity and many-hats culture.

2019

Founded

San Francisco

Headquarters

~110

Employees

$2B

Valuation (Series C)

Free Work at WorkOS? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at WorkOS

WorkOS builds the APIs that make SaaS applications enterprise-ready. Their platform handles SSO, directory sync, user management, and audit logs — the plumbing that every B2B SaaS company eventually needs. Founded in 2019 and headquartered in San Francisco, WorkOS has raised $195M at a $2B valuation. "Kindness" is one of the company's core operating principles, and employees say it genuinely shows. Work-life balance is rated 4.2/5, and the comp package is solid at 4.0/5. With ~110 employees and 23 open roles, it's a small team growing fast — expect to wear many hats.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Product Impact](https://jobsbyculture.com/values/product-impact) [Many Hats](https://jobsbyculture.com/values/many-hats)

Glassdoor Ratings

## WorkOS Glassdoor Ratings & _Employee Reviews_

4.0

Overall Glassdoor Score

Based on 30 Glassdoor reviews

Culture & Values 4.0

Compensation & Benefits 4.0

Career Opportunities 3.9

Work-Life Balance 4.2

Overall Rating 4.0

73% Recommend to a Friend

Employee Review Themes

## Working at WorkOS: _Pros & Cons_

### ✓ What employees love

-   ✓ Kindness as a core operating principle — genuinely shows in the culture
-   ✓ Strong work-life balance rated 4.2/5 by employees
-   ✓ Developer-beloved product — enterprise auth that engineers actually enjoy using
-   ✓ $195M raised at $2B valuation with strong enterprise customer base

### ✗ What could be better

-   ✗ Small team (~110) means wearing many hats and context-switching
-   ✗ Some reviews mention GTM strategy concerns and leadership friction
-   ✗ Revenue concentration in a handful of large AI customers
-   ✗ Interview process rated challenging

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

TypeScript React Node.js Go PostgreSQL

#### Developer Experience

WorkOS is built by developers, for developers. The API is designed to be elegant and simple to integrate, with comprehensive SDKs and documentation that the community praises.

#### Product Focus

Enterprise-grade reliability meets developer ergonomics. The team ships SSO, directory sync, user management, and audit log APIs used by thousands of SaaS companies.

#### Team Structure

Small, autonomous teams with high ownership. At ~110 employees, engineers have direct product impact and ship features end-to-end with minimal bureaucracy.

Open Positions

## Join the _WorkOS_ team

... open positions.

🌐 Remote

✕ Clear

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=workos)

Explore More

## Related _content_

### Similar Companies

-   [→ Stripe](https://jobsbyculture.com/companies/stripe)
-   [→ Plaid](https://jobsbyculture.com/companies/plaid)
-   [→ Vercel](https://jobsbyculture.com/companies/vercel)
-   [→ Supabase](https://jobsbyculture.com/companies/supabase)
-   [→ Tailscale](https://jobsbyculture.com/companies/tailscale)

### Browse by Culture

-   [→ Engineering-Driven Companies](https://jobsbyculture.com/values/eng-driven)
-   [→ Ship Fast Companies](https://jobsbyculture.com/values/ship-fast)
-   [→ Product Impact Companies](https://jobsbyculture.com/values/product-impact)
-   [→ Many Hats Companies](https://jobsbyculture.com/values/many-hats)



🏢

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---

## Document: Writer Glassdoor, Culture & Careers 2026 | JobsByCulture

# Writer Glassdoor, Culture & Careers 2026 | JobsByCulture

> Writer company profile: 3.5 Glassdoor, ~400 employees, $150k–$350k comp. Enterprise AI platform with proprietary LLMs. Culture reviews and open careers.

Source: https://jobsbyculture.com/companies/writer
Markdown: https://jobsbyculture.com/companies/writer.md
Last updated: 2026-07-14

---
![Writer logo](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

# Writer

The Full-Stack Enterprise AI Platform

The consensus on Writer: Choose Writer if you want to build proprietary LLMs and enterprise AI systems from the ground up — but expect an intense, high-expectations environment.

2020

Founded

San Francisco

Headquarters

~400

Employees

$1.9B

Valuation

Free Work at Writer? Claim this profile

Update your company's culture data, respond to reviews, and feature your open roles prominently.

Culture Overview

## What it's _really_ like to work at Writer

Writer isn't wrapping someone else's API and calling it AI. Founded by May Habib and Waseem AlShikh, the company builds its own Palmyra family of large language models from scratch, trains them on enterprise data, and ships a full-stack platform that Fortune 500 companies use to automate knowledge work. The engineering culture is defined by genuine technical depth — you're training models, building inference infrastructure, and designing agentic workflows, not stitching together third-party services. Writer open-sources its framework and smaller models, giving back to the community while competing at the enterprise tier. The trade-off is intensity: the bar is high, the pace is fast, and work-life balance is a known weak spot.

[Engineering-Driven](https://jobsbyculture.com/values/eng-driven) [Ship Fast](https://jobsbyculture.com/values/ship-fast) [Open Source](https://jobsbyculture.com/values/open-source)

Glassdoor Ratings

## Writer Glassdoor Ratings & _Employee Reviews_

3.5

Overall Glassdoor Score

Based on 29 reviews

Culture & Values 3.4

Work-Life Balance 2.7

Career Opportunities 3.6

Overall Rating 3.5

62% Recommend to a Friend

Employee Review Themes

## Working at Writer: _Pros & Cons_

### ✓ What employees love

-   ✓ Proprietary LLMs (Palmyra) — genuine AI engineering, not API wrappers
-   ✓ Visionary leadership with strong enterprise traction and major customers
-   ✓ Open-source commitment — Writer Framework and Palmyra models are public
-   ✓ Named an Emerging Leader by Gartner across three generative AI categories

### ✗ What could be better

-   ✗ Work-life balance is a real concern — Glassdoor WLB score of 2.7/5
-   ✗ Very high expectations with limited room for error
-   ✗ Growing middle management layer creating organizational friction
-   ✗ Some reviews mention inflexibility around personal commitments

Engineering Culture

## How the _engineering_ team works

#### Tech Stack

Python PyTorch TypeScript Kubernetes

#### Palmyra LLMs

Writer trains its own family of large language models (Palmyra) optimized for enterprise use cases. Engineers work on pre-training, fine-tuning, RLHF, and inference optimization — real ML engineering.

#### Open Source

Writer Framework is an open-source Python framework for building AI apps. Palmyra Small and Base models are publicly available. [View on GitHub →](https://github.com/writer?ref=jobsbyculture.com)

#### Enterprise Platform

Full-stack AI platform including Knowledge Graph, AI Studio, and agentic workflows. Engineers build the entire stack from model training to production deployment for Fortune 500 clients.

Open Positions

## Join the _Writer_ team

Explore open roles at Writer below.

[Browse all jobs on the board →](https://jobsbyculture.com/jobs?company=writer)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

Explore More

## Related _content_

### Blog Posts

-   [→ Working at Writer in 2026: Palmyra LLMs, $1.9B Valuation & Culture](https://jobsbyculture.com/blog/working-at-writer-2026)

### Compare Writer

-   [→ Writer vs Abridge](https://jobsbyculture.com/compare/abridge-vs-writer)
-   [→ Writer vs Adyen](https://jobsbyculture.com/compare/adyen-vs-writer)
-   [→ Writer vs Airbnb](https://jobsbyculture.com/compare/airbnb-vs-writer)
-   [→ Writer vs Airtable](https://jobsbyculture.com/compare/airtable-vs-writer)
-   [→ Writer vs Anthropic](https://jobsbyculture.com/compare/anthropic-vs-writer)
-   [→ Writer vs Anyscale](https://jobsbyculture.com/compare/anyscale-vs-writer)
-   [→ Writer vs Apollo.io](https://jobsbyculture.com/compare/apollo-vs-writer)
-   [→ Writer vs Asana](https://jobsbyculture.com/compare/asana-vs-writer)
-   [→ Writer vs Baseten](https://jobsbyculture.com/compare/baseten-vs-writer)
-   [→ Writer vs Brex](https://jobsbyculture.com/compare/brex-vs-writer)
-   [→ Writer vs Celonis](https://jobsbyculture.com/compare/celonis-vs-writer)
-   [→ Writer vs Cerebras Systems](https://jobsbyculture.com/compare/cerebras-vs-writer)
-   [→ Writer vs Chainguard](https://jobsbyculture.com/compare/chainguard-vs-writer)
-   [→ Writer vs Cloudflare](https://jobsbyculture.com/compare/cloudflare-vs-writer)
-   [→ Writer vs Cognition AI](https://jobsbyculture.com/compare/cognition-vs-writer)
-   [→ Writer vs Cohere](https://jobsbyculture.com/compare/cohere-vs-writer)
-   [→ Writer vs Contentful](https://jobsbyculture.com/compare/contentful-vs-writer)
-   [→ Writer vs CoreWeave](https://jobsbyculture.com/compare/coreweave-vs-writer)
-   [→ Writer vs Cresta](https://jobsbyculture.com/compare/cresta-vs-writer)
-   [→ Writer vs Crusoe](https://jobsbyculture.com/compare/crusoe-vs-writer)
-   [→ Writer vs Cursor](https://jobsbyculture.com/compare/cursor-vs-writer)
-   [→ Writer vs Databricks](https://jobsbyculture.com/compare/databricks-vs-writer)
-   [→ Writer vs Datadog](https://jobsbyculture.com/compare/datadog-vs-writer)
-   [→ Writer vs Decagon](https://jobsbyculture.com/compare/decagon-vs-writer)
-   [→ Writer vs DeepL](https://jobsbyculture.com/compare/deepl-vs-writer)
-   [→ Writer vs DeepMind](https://jobsbyculture.com/compare/deepmind-vs-writer)
-   [→ Writer vs Descript](https://jobsbyculture.com/compare/descript-vs-writer)
-   [→ Writer vs Doctolib](https://jobsbyculture.com/compare/doctolib-vs-writer)
-   [→ Writer vs Elastic](https://jobsbyculture.com/compare/elastic-vs-writer)
-   [→ Writer vs ElevenLabs](https://jobsbyculture.com/compare/elevenlabs-vs-writer)
-   [→ Writer vs Figma](https://jobsbyculture.com/compare/figma-vs-writer)
-   [→ Writer vs Fireworks AI](https://jobsbyculture.com/compare/fireworksai-vs-writer)
-   [→ Writer vs GitLab](https://jobsbyculture.com/compare/gitlab-vs-writer)
-   [→ Writer vs Glean](https://jobsbyculture.com/compare/glean-vs-writer)
-   [→ Writer vs Grafana Labs](https://jobsbyculture.com/compare/grafanalabs-vs-writer)
-   [→ Writer vs Granola](https://jobsbyculture.com/compare/granola-vs-writer)
-   [→ Writer vs Harvey AI](https://jobsbyculture.com/compare/harvey-vs-writer)
-   [→ Writer vs Hebbia](https://jobsbyculture.com/compare/hebbia-vs-writer)
-   [→ Writer vs Helsing](https://jobsbyculture.com/compare/helsing-vs-writer)
-   [→ Writer vs HubSpot](https://jobsbyculture.com/compare/hubspot-vs-writer)
-   [→ Writer vs Hugging Face](https://jobsbyculture.com/compare/huggingface-vs-writer)
-   [→ Writer vs incident.io](https://jobsbyculture.com/compare/incidentio-vs-writer)
-   [→ Writer vs Labelbox](https://jobsbyculture.com/compare/labelbox-vs-writer)
-   [→ Writer vs Lambda](https://jobsbyculture.com/compare/lambda-vs-writer)
-   [→ Writer vs LangChain](https://jobsbyculture.com/compare/langchain-vs-writer)
-   [→ Writer vs Linear](https://jobsbyculture.com/compare/linear-vs-writer)
-   [→ Writer vs Lovable](https://jobsbyculture.com/compare/lovable-vs-writer)
-   [→ Writer vs Mercor](https://jobsbyculture.com/compare/mercor-vs-writer)
-   [→ Writer vs Mercury](https://jobsbyculture.com/compare/mercury-vs-writer)
-   [→ Writer vs Mistral AI](https://jobsbyculture.com/compare/mistral-vs-writer)
-   [→ Writer vs Modal](https://jobsbyculture.com/compare/modal-vs-writer)
-   [→ Writer vs MongoDB](https://jobsbyculture.com/compare/mongodb-vs-writer)
-   [→ Writer vs n8n](https://jobsbyculture.com/compare/n8n-vs-writer)
-   [→ Writer vs Navan](https://jobsbyculture.com/compare/navan-vs-writer)
-   [→ Writer vs Notion](https://jobsbyculture.com/compare/notion-vs-writer)
-   [→ Writer vs OpenAI](https://jobsbyculture.com/compare/openai-vs-writer)
-   [→ Writer vs Perplexity AI](https://jobsbyculture.com/compare/perplexity-vs-writer)
-   [→ Writer vs Pinecone](https://jobsbyculture.com/compare/pinecone-vs-writer)
-   [→ Writer vs Plaid](https://jobsbyculture.com/compare/plaid-vs-writer)
-   [→ Writer vs Poolside AI](https://jobsbyculture.com/compare/poolside-vs-writer)
-   [→ Writer vs PostHog](https://jobsbyculture.com/compare/posthog-vs-writer)
-   [→ Writer vs Pylon](https://jobsbyculture.com/compare/pylon-vs-writer)
-   [→ Writer vs Ramp](https://jobsbyculture.com/compare/ramp-vs-writer)
-   [→ Writer vs Replit](https://jobsbyculture.com/compare/replit-vs-writer)
-   [→ Writer vs Runway](https://jobsbyculture.com/compare/runway-vs-writer)
-   [→ Writer vs Samsara](https://jobsbyculture.com/compare/samsara-vs-writer)
-   [→ Writer vs Scale AI](https://jobsbyculture.com/compare/scale-vs-writer)
-   [→ Writer vs Sierra AI](https://jobsbyculture.com/compare/sierra-vs-writer)
-   [→ Writer vs Snowflake](https://jobsbyculture.com/compare/snowflake-vs-writer)
-   [→ Writer vs Stripe](https://jobsbyculture.com/compare/stripe-vs-writer)
-   [→ Writer vs Suno](https://jobsbyculture.com/compare/suno-vs-writer)
-   [→ Writer vs Supabase](https://jobsbyculture.com/compare/supabase-vs-writer)
-   [→ Writer vs Synthesia](https://jobsbyculture.com/compare/synthesia-vs-writer)
-   [→ Writer vs Tailscale](https://jobsbyculture.com/compare/tailscale-vs-writer)
-   [→ Writer vs Together AI](https://jobsbyculture.com/compare/together-vs-writer)
-   [→ Writer vs Twilio](https://jobsbyculture.com/compare/twilio-vs-writer)
-   [→ Writer vs Vanta](https://jobsbyculture.com/compare/vanta-vs-writer)
-   [→ Writer vs Vast AI](https://jobsbyculture.com/compare/vast-vs-writer)
-   [→ Writer vs Vercel](https://jobsbyculture.com/compare/vercel-vs-writer)
-   [→ Writer vs Wayve](https://jobsbyculture.com/compare/wayve-vs-writer)
-   [→ Writer vs Weaviate](https://jobsbyculture.com/compare/weaviate-vs-writer)
-   [→ Writer vs Webflow](https://jobsbyculture.com/compare/webflow-vs-writer)



🏢

### Claim _Writer_

Take ownership of your company's culture profile. Update your data, respond to community sentiment, and feature your open roles to candidates who care about culture.

We'll respond within 24 hours. No spam, ever.

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### Request received!

We'll review your request and get back to you within 24 hours at the email you provided.

---

## Document: Compare Company Cultures Side-by-Side | JobsByCulture

# Compare Company Cultures Side-by-Side | JobsByCulture

> Compare any two company cultures side-by-side. See Glassdoor ratings, work-life balance, values, pros & cons, and open roles for 118 AI & tech companies.

Source: https://jobsbyculture.com/compare
Markdown: https://jobsbyculture.com/compare.md
Last updated: 2026-07-14

---
Compare any two companies

# Compare company _cultures_

Side-by-side culture comparison. See ratings, values, pros & cons, and open roles to find your best fit.

vs

Analyzing cultures with AI...

Best For

Ratings

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Pros & Cons

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## Popular _comparisons_

Pre-built culture comparisons for the most-searched company matchups

[Anthropic vs OpenAI](https://jobsbyculture.com/compare/anthropic-vs-openai) · [Google vs Amazon](https://jobsbyculture.com/compare/google-vs-amazon) · [Google vs Microsoft](https://jobsbyculture.com/compare/google-vs-microsoft) · [Google vs Apple](https://jobsbyculture.com/compare/google-vs-apple) · [Google vs Meta](https://jobsbyculture.com/compare/google-vs-meta) · [Google vs Netflix](https://jobsbyculture.com/compare/google-vs-netflix) · [NVIDIA vs AMD](https://jobsbyculture.com/compare/nvidia-vs-amd) · [NVIDIA vs Google](https://jobsbyculture.com/compare/nvidia-vs-google) · [Tesla vs Rivian](https://jobsbyculture.com/compare/tesla-vs-rivian) · [Netflix vs Google](https://jobsbyculture.com/compare/netflix-vs-google) · [Meta vs Amazon](https://jobsbyculture.com/compare/meta-vs-amazon) · [Meta vs Apple](https://jobsbyculture.com/compare/meta-vs-apple) · [Amazon vs Microsoft](https://jobsbyculture.com/compare/amazon-vs-microsoft) · [Apple vs Microsoft](https://jobsbyculture.com/compare/apple-vs-microsoft) · [Datadog vs Splunk](https://jobsbyculture.com/compare/datadog-vs-splunk) · [Coinbase vs Stripe](https://jobsbyculture.com/compare/coinbase-vs-stripe) · [Cursor vs GitHub Copilot](https://jobsbyculture.com/compare/cursor-vs-github-copilot) · [Vercel vs Netlify](https://jobsbyculture.com/compare/vercel-vs-netlify) · [Stripe vs Shopify](https://jobsbyculture.com/compare/stripe-vs-shopify)

---

## Document: AI Culture Index 2026 — 118 Companies Ranked by Culture | JobsByCulture

# AI Culture Index 2026 — 118 Companies Ranked by Culture | JobsByCulture

> The definitive ranking of 118 AI & tech companies by culture. Scored on employee ratings, work-life balance, remote-friendliness, and 18 culture dimensions. Independent. Data-driven. Updated quarterly.

Source: https://jobsbyculture.com/culture-index
Markdown: https://jobsbyculture.com/culture-index.md
Last updated: 2026-07-14

---
2026 Edition

# The AI _Culture Index_

118 AI & tech companies ranked by culture. Scored on employee ratings, work-life balance, remote-friendliness, culture breadth, and evidence quality. Independent. Data-driven.

Published May 2026 · Updated quarterly · Source: JobsByCulture research

Journalists & bloggers: cite any data from this page. Link to `jobsbyculture.com/culture-index` as source.

[Press Kit →](https://jobsbyculture.com/press)

   118 companies

\# ▲

Company ▲

Score ▼

Rating ▼

WLB ▼

Jobs ▼

Values

Size

## How We _Score_

The Culture Score is a composite metric (0-100) calculated from six independently verified data points:

Factor

Weight

What it measures

Employee Rating

25%

Overall employee satisfaction score, normalized to 0-100

Work-Life Balance

25%

Employee-reported WLB score, normalized to 0-100

Culture Values Breadth

20%

Number of verified culture values (out of 18 possible dimensions)

Remote-Friendly

10%

Binary: is the company genuinely remote-friendly? Verified against job listings.

Evidence Quality

10%

Completeness of data: ratings, WLB, values, pros/cons, employee quotes

Job Availability

10%

Current number of open roles (logarithmic scale)

**Independence:** Companies cannot pay for inclusion, influence their scores, or preview rankings before publication. All data is independently collected from employee review platforms, engineering blogs, careers pages, and published policies.

**Limitations:** This index covers 118 AI & tech companies and is not representative of the entire industry. Employee-reported data is subject to selection bias. Culture values are assessed on available evidence. Scores are relative within this dataset, not absolute measures of workplace quality.

**Updates:** Rankings are recalculated quarterly. Job counts refresh daily. Employee ratings and culture values are re-verified on a rolling basis.

## Explore the _Full Profiles_

Dive deeper into any company's culture, values, pros and cons, and open roles.

[Browse All Companies](https://jobsbyculture.com/companies) [View Full Statistics](https://jobsbyculture.com/stats/ai-company-culture-statistics)

---

## Document: AI Company Culture Map: Glassdoor vs Work-Life Balance

# AI Company Culture Map: Glassdoor vs Work-Life Balance

> Interactive chart comparing 57 AI & tech companies by Glassdoor rating and work-life balance score. See which companies have the best culture.

Source: https://jobsbyculture.com/culture-map
Markdown: https://jobsbyculture.com/culture-map.md
Last updated: 2026-07-14

---
29 companies mapped

# AI Company Culture _Map_

How do top AI & tech companies stack up on Glassdoor rating vs work-life balance? Explore the interactive chart below — bigger dots mean bigger companies.

Glassdoor

WLB

· open jobs

**Values:**

Click to view full profile →

Small (<200)

Mid (200–1k)

Large (1k+)

High Rated + Good WLB

Good WLB, Lower Rated

High Rated but Intense

Challenging

## All 29 Companies

Click any company to view their full culture profile, ratings, and open jobs.

## Find your culture fit

Compare any two companies side-by-side or browse 7,101+ jobs filtered by culture values.

[Compare Companies →](https://jobsbyculture.com/compare) [Browse All Jobs →](https://jobsbyculture.com/jobs) [Culture Directory →](https://jobsbyculture.com/companies)

---

## Document: For Employers — Claim Your Culture Profile | JobsByCulture

# For Employers — Claim Your Culture Profile | JobsByCulture

> JobsByCulture profiles 118 AI & tech companies with employee reviews, culture values, and 13,906+ open roles. Thousands of culture-first job seekers browse every month. Claim your profile today.

Source: https://jobsbyculture.com/for-employers
Markdown: https://jobsbyculture.com/for-employers.md
Last updated: 2026-07-14

---
For Employers

# The best candidates care about _culture._ We help them find you.

118

companies profiled

13,906+

active job listings

18

culture values tracked

[Get Started →](#get-started)

Trusted By

## Companies already on _JobsByCulture_

What You Get

## Everything included.

🏢

### Culture Profile

Employee ratings, culture values, pros & cons — all in one page seen by thousands of job seekers monthly.

💼

### Job Visibility

Your open roles auto-sync from your ATS and appear alongside your culture data. Candidates filter by values that match.

📊

### Competitive Intel

Side-by-side compare pages vs every other company. See how your employer brand stacks up on ratings, work-life balance, and comp.

Get Started

## Get your company on _JobsByCulture_

Submit your company and we’ll get back to you within 48 hours.

✓

### We’ve got it!

We’ll review and get back to you within 48 hours.

No spam, ever.

---

## Document: 359+ GitHub Projects to Build for Your Resume 2026 | JobsByCulture

# 359+ GitHub Projects to Build for Your Resume 2026 | JobsByCulture

> 350+ portfolio-worthy GitHub projects across 30 categories and 35 languages — build a web browser, database, compiler, neural network from scratch. Filter by language, difficulty, and target role. Get hired faster.

Source: https://jobsbyculture.com/github-projects
Markdown: https://jobsbyculture.com/github-projects.md
Last updated: 2026-07-14

---
For New Grads & Freshers

# 359+ GitHub Projects to _Build Your Resume_

Curated portfolio projects across 30 categories — build a database, web browser, neural network, or compiler from scratch. The kind of project that lands the interview, not the kind that fills a resume.

359

projects

31

categories

35

languages

## Get a personalized _3-project plan_

Free

Tell us your language, experience level, and the kind of role you want. We'll pick three projects from the library that match — beginner-friendly enough to finish, deep enough to talk about in interviews.

Your language

Experience Beginner (0-1 yr) Intermediate (1-3 yrs) Advanced (3+ yrs)

Target role Any role Backend Engineer Frontend Engineer Full-Stack Engineer ML / AI Engineer Systems Engineer Infra / Platform Engineer DevOps Engineer Game Engineer Graphics Engineer Compiler Engineer Embedded / Hardware Distributed Systems Search Engineer Mobile Engineer AR / VR Engineer Computer Vision Crypto / Web3

Your 3-project plan

## Or browse all _359 projects_

Filter by language, difficulty, or category

 All Languages All Levels Beginner Intermediate Advanced

Showing 359 of 359 projects

No projects match your filters. Try clearing or broadening your search.

## Built your project? Now find _the right team._

JobsByCulture profiles 118 AI & tech companies with 13,000+ live jobs — filtered by culture values, engineering quality, and what skills they actually hire for. The ideal next step after your portfolio is ready.

[Browse 13,000+ Jobs →](https://jobsbyculture.com/jobs)

## The 3-project portfolio that gets new grads hired

The single most common mistake new grads make is treating the portfolio like a tutorial transcript. Fifteen half-finished React clones look worse than one well-documented project that shows you understand a hard problem deeply. Here's the framework that consistently lands offers:

Tier 1 · Foundation

A "I built X from scratch" project

Build something hard that most people only use: a database, a Git clone, a compiler, a web browser. Demonstrates depth and curiosity. 4–8 weeks.

Tier 2 · Application

A real-world tool you'd use yourself

A CLI tool, a small SaaS, a Chrome extension — something useful enough that strangers download it. Shows you can ship product. 1–2 weeks.

Tier 3 · Community

An open-source contribution

Find a real bug in a popular repo, fix it, get it merged. Proves you can navigate unfamiliar code — exactly what your first job will require.

## How to choose your first project

1.  **Pick the language your target company actually uses.** Apply to Google? Python, C++, Java, Go. Apply to Stripe or Vercel? TypeScript or Ruby. Apply to AI labs? Python + CUDA. Browse JobsByCulture company profiles to see each team's stack before you commit to 8 weeks of work.
2.  **Choose harder than you think you can finish.** If you can finish it without struggling, it didn't teach you anything. A project where you spend 3 days stuck on a single bug is a project that demonstrates you can ship under uncertainty — which is most of the job.
3.  **Document the design decisions, not the code.** Anyone can read your code. What hiring managers want is your README explaining why you chose B-trees over hash maps, why you used an LSM tree, why you forked the protocol. The README is your portfolio — the code is the receipt.
4.  **Extend the tutorial, don't copy it.** A tutorial-followed project is worth zero. A tutorial-plus-extensions project ("I built this from the tutorial, then added X, Y, Z, and benchmarked it against Z") is worth a phone screen. Always add something.
5.  **Test it. Benchmark it. Ship it.** Write tests. Add a CI pipeline. Deploy it (Vercel, Railway, Fly.io — all free). A project that runs in production tells a story; a project that only runs on your laptop tells a different story.

## Why "Build Your Own X" projects work for portfolios

The "Build Your Own X" pattern — building a simplified version of a real production tool (database, browser, Git, neural network) — is the highest-leverage learning path for new grads. Three reasons:

-   **It teaches fundamentals.** Building a database forces you to understand B-trees, write-ahead logs, and concurrency. Building a browser forces you to understand HTML parsing, layout, and the event loop. These fundamentals are what FAANG-style interviews test.
-   **It's an instant interview talking point.** "I built a database from scratch" is a 30-minute conversation. "I built a todo app" is a 30-second one. Every senior engineer remembers their first compiler or their first OS — yours becomes shared ground.
-   **It signals taste.** Choosing to build a Redis clone over a portfolio site says you're curious about systems, not just employment. Hiring managers notice. So do staff engineers who later become your referrers.

The caveat: copying a tutorial line-for-line teaches nothing. The value lives in the friction — the bugs you debugged, the choices you made, the trade-offs you measured. Always extend the tutorial.

## Frequently asked questions

### Are GitHub projects more important than internships?

If you have a relevant internship at a known company, that beats a GitHub project for FAANG-style interviews. But for startup applications, a strong portfolio frequently outweighs a generic internship. Both together is the strongest signal possible. If you can't get an internship, a deep portfolio project becomes your highest-leverage substitute.

### Should I build in Python or a "real" language like Rust?

Build in whatever language the team you want to join uses. Python is the most-hired language in 2026 across AI, data, and infra roles. Rust signals systems interest but narrows your applicable roles. JavaScript/TypeScript dominates frontend and full-stack. Match the language to the job, not the trend.

### How do I list GitHub projects on my resume?

Three lines per project, max: (1) one sentence on what it does, (2) one sentence on the technical choice that mattered, (3) one sentence on a concrete result (benchmark, user count, stars). Skip "Built a chat app with React" in favor of "Built a real-time chat app in Go with a custom WebSocket protocol — handles 10k concurrent connections per node."

### How long should a portfolio project take?

Your Tier-1 foundation project should take 4–8 weeks of focused work. Anything less and you didn't go deep enough; anything more and you over-invested in one thing. Tier-2 and Tier-3 projects should each take 1–2 weeks.

### Can I use AI to help build my portfolio project?

Yes — and you should, because that's how you'll work as a professional engineer. The trap: if Claude or Cursor wrote 90% of the code and you can't explain the trade-offs, the project is worthless in an interview. Use AI to accelerate, then strip it back and rewrite the parts you don't understand line by line.

---

## Document: AI & ML Glossary: 120 Terms Explained in Plain English | JobsByCulture

# AI & ML Glossary: 120 Terms Explained in Plain English | JobsByCulture

> 120 AI and machine-learning terms explained in plain English. RAG, embeddings, LoRA, MoE, RLHF, MCP and more — for job seekers and engineers.

Source: https://jobsbyculture.com/glossary
Markdown: https://jobsbyculture.com/glossary.md
Last updated: 2026-07-14

---
### AI

Artificial Intelligence

Software that mimics tasks we used to think only humans could do — recognising images, writing, planning, reasoning.

An umbrella term for systems that perform tasks normally requiring human intelligence. Modern AI is dominated by machine learning, especially deep neural networks trained on massive datasets.

Related: [ml](#ml) · [deep-learning](#deep-learning) · [llm](#llm)

### ML

Machine Learning

Teaching computers patterns from examples instead of writing rules by hand.

A branch of AI where systems learn behaviour from data rather than from explicit programming. Includes supervised, unsupervised, and reinforcement learning.

Related: [deep-learning](#deep-learning) · [supervised-learning](#supervised-learning) · [unsupervised-learning](#unsupervised-learning)

### Deep Learning

Machine learning using neural networks with many stacked layers — the engine behind modern AI.

A subfield of ML using neural networks with multiple hidden layers. Powers virtually every modern AI breakthrough — image recognition, speech, LLMs, protein folding.

Related: [neural-network](#neural-network) · [transformer](#transformer) · [cnn](#cnn)

### Neural Network

A web of simple math units loosely inspired by brain cells, trained to turn inputs into useful outputs.

A computational model made of interconnected layers of nodes (neurons), each applying a weighted sum and a non-linear activation. Training adjusts the weights so the network maps inputs to desired outputs.

Related: [deep-learning](#deep-learning) · [gradient-descent](#gradient-descent) · [transformer](#transformer)

### LLM

Large Language Model

A very large neural network trained on huge amounts of text to read, write, and reason in language.

A transformer-based model with billions of parameters trained on internet-scale text. Generates language by predicting the next token. Examples: GPT, Claude, Gemini, Llama.

Related: [transformer](#transformer) · [foundation-model](#foundation-model) · [context-window](#context-window)

### SLM

Small Language Model

A compact LLM small enough to run on a laptop or phone, trading some quality for speed and privacy.

A language model in the 1B–10B parameter range, designed for on-device or low-latency inference. Often distilled from larger models or trained on high-quality curated data.

Related: [llm](#llm) · [distillation](#distillation) · [quantization](#quantization)

### Foundation Model

A general-purpose model pretrained on broad data that you can adapt to many specific tasks.

A large model trained on diverse, broad data that serves as a base for many downstream applications via fine-tuning or prompting. Coined by Stanford CRFM.

Related: [llm](#llm) · [fine-tuning](#fine-tuning) · [pre-training](#pre-training)

### Frontier Model

The most capable AI models in the world at any given moment — the cutting edge.

Refers to the most advanced general-purpose AI models available, typically those that push the limits of capability and scale. Subject to additional safety scrutiny.

Related: [llm](#llm) · [foundation-model](#foundation-model) · [scaling-laws](#scaling-laws)

### Base Model

The raw pretrained model before it's taught to follow instructions or chat.

A language model after pre-training but before instruction tuning or RLHF. Continues text well but doesn't reliably follow user commands.

Related: [instruct-model](#instruct-model) · [pre-training](#pre-training) · [sft](#sft)

### Instruct Model

A base model further trained to actually follow user instructions and answer questions properly.

A base model after supervised fine-tuning on instruction-following data, making it usable as an assistant.

Related: [base-model](#base-model) · [sft](#sft) · [chat-model](#chat-model)

### Chat Model

An instruct model trained on multi-turn conversations, with a system/user/assistant turn format.

An instruct model further tuned on dialogue data and equipped with a conversational turn structure (system, user, assistant roles).

Related: [instruct-model](#instruct-model) · [system-prompt](#system-prompt) · [rlhf](#rlhf)

### Multimodal Model

A model that can read and combine more than one kind of input — text, images, audio, video.

A model that processes multiple input modalities (text, images, audio, video) within a unified architecture, enabling tasks that span them.

Related: [vision-language-model](#vision-language-model) · [llm](#llm) · [embeddings](#embeddings)

### Vision-Language Model

VLM

An AI that can look at an image and discuss it in language — describe, answer questions, reason about it.

A multimodal model jointly trained on images and text. Can caption, answer visual questions, do OCR, and reason over diagrams.

Related: [multimodal](#multimodal) · [llm](#llm) · [embeddings](#embeddings)

### Generative AI

GenAI

AI that creates new content — text, images, audio, code — rather than just classifying or predicting.

A class of AI models that learn the distribution of training data and generate new samples from it. Includes LLMs, diffusion models, GANs.

Related: [llm](#llm) · [diffusion-model](#diffusion-model) · [gan](#gan)

### Discriminative Model

A model that learns to tell categories apart instead of creating new examples.

A model that learns the boundary between classes — answers 'which?' rather than 'what does a sample look like?'. Logistic regression, classifiers, BERT for classification.

Related: [generative-ai](#generative-ai) · [supervised-learning](#supervised-learning)

### Supervised Learning

Training a model on labelled examples — every input comes paired with the right answer.

An ML paradigm where models learn from input-output pairs. The model adjusts its parameters to minimise the gap between predicted and true labels.

Related: [unsupervised-learning](#unsupervised-learning) · [sft](#sft) · [gradient-descent](#gradient-descent)

### Unsupervised Learning

Finding patterns in data without anyone labelling what's what.

An ML paradigm where models discover structure in unlabelled data — clustering, dimensionality reduction, density estimation.

Related: [supervised-learning](#supervised-learning) · [self-supervised-learning](#self-supervised-learning) · [embeddings](#embeddings)

### Reinforcement Learning

RL

Training an agent by giving it rewards for good actions and penalties for bad ones — like training a dog with treats.

An ML paradigm where an agent learns by interacting with an environment and optimising a reward signal. Foundational to RLHF, game-playing AI, robotics.

Related: [rlhf](#rlhf) · [ppo](#ppo) · [reward-model](#reward-model)

### Self-Supervised Learning

SSL

Training a model by hiding part of the input and asking it to predict the missing piece — no human labels needed.

Models generate their own training signal from the data itself — e.g. masking words and predicting them. The dominant paradigm for pre-training LLMs.

Related: [pre-training](#pre-training) · [supervised-learning](#supervised-learning) · [llm](#llm)

### Transfer Learning

Taking a model trained on one task and adapting it to a different but related task — faster than starting fresh.

Reusing knowledge learned on one task to bootstrap performance on another, typically via fine-tuning a pretrained model.

Related: [fine-tuning](#fine-tuning) · [pre-training](#pre-training) · [foundation-model](#foundation-model)

### Transformer

The neural network architecture behind nearly every modern LLM — fast, parallel, and built around attention.

A neural network architecture introduced in 2017 ('Attention Is All You Need') that replaced RNNs for sequence modelling. Uses self-attention to model relationships between all positions in parallel.

Related: [attention](#attention) · [self-attention](#self-attention) · [llm](#llm)

### Attention

The mechanism that lets a model decide which parts of the input matter most when producing each output.

A weighted sum mechanism where each output position learns to focus on the most relevant input positions. The core building block of transformers.

Related: [self-attention](#self-attention) · [transformer](#transformer) · [multi-head-attention](#multi-head-attention)

### Self-Attention

Attention applied within a single sequence so every word can look at every other word.

An attention mechanism where queries, keys, and values all come from the same sequence, letting each token model dependencies on every other token.

Related: [attention](#attention) · [transformer](#transformer) · [cross-attention](#cross-attention)

### Cross-Attention

Attention that lets one sequence look at a different sequence — used when conditioning on outside info.

An attention mechanism where queries come from one sequence and keys/values from another. Common in encoder-decoder models and image-text models.

Related: [self-attention](#self-attention) · [attention](#attention) · [encoder-decoder](#encoder-decoder)

### Multi-Head Attention

MHA

Running attention several times in parallel with different learned views, then combining the results.

Splits attention into multiple parallel heads, each learning a different relationship pattern (syntax, coreference, etc.). Outputs are concatenated and projected.

Related: [attention](#attention) · [transformer](#transformer) · [self-attention](#self-attention)

### Encoder

The half of a model that reads the input and turns it into rich internal representations.

A stack of transformer layers that maps an input sequence into a sequence of contextual embeddings. Used standalone (BERT) or paired with a decoder (T5).

Related: [decoder](#decoder) · [encoder-decoder](#encoder-decoder) · [transformer](#transformer)

### Decoder

The half of a model that generates output one token at a time, using what it's already produced as context.

A stack of transformer layers that produces output sequences autoregressively. Uses causal masking so each token only attends to previous positions.

Related: [encoder](#encoder) · [decoder-only](#decoder-only) · [transformer](#transformer)

### Encoder-Decoder

Architecture that reads everything first, then writes everything — good for translation, summarisation.

A transformer architecture with separate encoder and decoder stacks. The decoder cross-attends to encoder outputs. T5, BART, original Transformer.

Related: [encoder](#encoder) · [decoder](#decoder) · [cross-attention](#cross-attention)

### Decoder-Only

Architecture used by most modern LLMs — no separate reader, just one big writer that generates next token.

A transformer with only a causal decoder stack. Used by GPT, Claude, Llama, Gemini. Treats every task as next-token prediction.

Related: [decoder](#decoder) · [llm](#llm) · [transformer](#transformer)

### Encoder-Only

Architecture optimised for understanding text rather than generating it — used in classification, search.

A transformer with only an encoder stack. Produces bidirectional embeddings, used for classification, retrieval, NER. BERT, RoBERTa, DeBERTa.

Related: [encoder](#encoder) · [bert](#bert) · [embeddings](#embeddings)

### MoE

Mixture of Experts

A model that activates only a small set of its 'experts' per question — more brainpower for less compute.

An architecture where a router selects a sparse subset of expert sub-networks to process each token. Enables huge total parameter counts with constant per-token compute.

Related: [dense-model](#dense-model) · [sparse-model](#sparse-model) · [transformer](#transformer)

### Dense Model

A model where every parameter is used for every input — the traditional architecture.

A transformer where all parameters are active for every forward pass. Contrasts with MoE / sparse models. Llama, Mistral, most early LLMs.

Related: [moe](#moe) · [sparse-model](#sparse-model) · [llm](#llm)

### Sparse Model

A model where only a fraction of parameters fire per input — often an MoE.

A model in which only a small subset of parameters is activated per input. MoE is the dominant sparse-model approach today.

Related: [moe](#moe) · [dense-model](#dense-model)

### CNN

Convolutional Neural Network

The architecture that revolutionised image recognition by sliding small filters across pixels.

A neural network using convolutional layers that share weights spatially. Dominant for vision before transformers; still strong on many image tasks.

Related: [deep-learning](#deep-learning) · [vision-language-model](#vision-language-model)

### RNN

Recurrent Neural Network

An older sequence model that processes tokens one at a time, passing along a hidden state.

A neural network that processes sequences step-by-step with a hidden state. Largely superseded by transformers due to parallelism and long-range dependencies.

Related: [lstm](#lstm) · [transformer](#transformer)

### LSTM

Long Short-Term Memory

A type of RNN with gating that helps it remember things from much earlier in a sequence.

An RNN variant with input, output, and forget gates. Dominant for sequence modelling before transformers; still used in some specialised settings.

Related: [rnn](#rnn) · [transformer](#transformer)

### Diffusion Model

An image generator that starts with pure noise and gradually 'denoises' it into a coherent picture.

A generative model that learns to reverse a noising process. Powers Stable Diffusion, Midjourney, Sora, DALL·E. Now also used for audio and video.

Related: [generative-ai](#generative-ai) · [vae](#vae)

### GAN

Generative Adversarial Network

Two networks playing a cat-and-mouse game — one generates fakes, the other learns to spot them.

A generative framework where a generator and discriminator are trained adversarially. Dominant for image generation before diffusion models.

Related: [generative-ai](#generative-ai) · [diffusion-model](#diffusion-model)

### Autoencoder

A network that learns to compress its input then reconstruct it, capturing the essence in between.

A neural network trained to reproduce its input, with a narrow bottleneck in the middle that forces it to learn a compressed representation.

Related: [vae](#vae) · [embeddings](#embeddings)

### VAE

Variational Autoencoder

An autoencoder with a probabilistic bottleneck — useful for generating new samples, not just reconstructing.

An autoencoder whose latent space follows a probability distribution, enabling controlled sampling. Foundational to many generative models, including some diffusion variants.

Related: [autoencoder](#autoencoder) · [diffusion-model](#diffusion-model)

### Pre-training

The first, most expensive training phase — feeding the model billions of text examples to learn language.

The initial training run on massive unlabelled (or weakly labelled) data using a self-supervised objective like next-token prediction. Produces the base model.

Related: [base-model](#base-model) · [fine-tuning](#fine-tuning) · [self-supervised-learning](#self-supervised-learning)

### Fine-tuning

Continuing to train a pretrained model on a smaller, more specific dataset to specialise it.

Adapting a pretrained model to a specific task or domain by continued training on a smaller curated dataset. Can be full fine-tuning or parameter-efficient (LoRA, adapters).

Related: [sft](#sft) · [lora](#lora) · [peft](#peft)

### SFT

Supervised Fine-Tuning

Fine-tuning a base model on high-quality input-output examples so it learns to follow instructions.

Fine-tuning a pretrained model on (prompt, completion) pairs using next-token prediction. The first step in turning a base model into an instruct model.

Related: [fine-tuning](#fine-tuning) · [rlhf](#rlhf) · [instruct-model](#instruct-model)

### RLHF

Reinforcement Learning from Human Feedback

Teaching a model what good answers look like using human ratings, not just example text.

A training pipeline where humans rank model outputs, a reward model is trained on those rankings, and the LLM is fine-tuned with RL (usually PPO) to maximise reward.

Related: [reward-model](#reward-model) · [ppo](#ppo) · [dpo](#dpo)

### RLAIF

RL from AI Feedback

Like RLHF, but using a strong AI model to rate outputs instead of humans — cheaper and faster to scale.

A variant of RLHF where AI models provide the preference signal in place of human raters. Used in Anthropic's Constitutional AI.

Related: [rlhf](#rlhf) · [constitutional-ai](#constitutional-ai) · [reward-model](#reward-model)

### DPO

Direct Preference Optimization

A simpler alternative to RLHF that skips the reward model and trains directly on human preferences.

An alignment method that fine-tunes a model directly on preference pairs (chosen, rejected) using a contrastive loss. Simpler and more stable than full RLHF/PPO.

Related: [rlhf](#rlhf) · [ppo](#ppo) · [reward-model](#reward-model)

### PPO

Proximal Policy Optimization

A popular RL algorithm — the workhorse used in the RL step of RLHF.

An RL algorithm that updates policies within a trust region for stability. The standard choice for the reinforcement-learning step in RLHF pipelines.

Related: [rlhf](#rlhf) · [grpo](#grpo) · [reinforcement-learning](#reinforcement-learning)

### GRPO

Group Relative Policy Optimization

A newer RL algorithm that replaces PPO's value function with rank-based comparisons inside a group.

An RL algorithm introduced by DeepSeek that removes the critic from PPO by computing advantages relative to a group of sampled responses. More efficient for reasoning training.

Related: [ppo](#ppo) · [rlhf](#rlhf) · [reinforcement-learning](#reinforcement-learning)

### Reward Model

RM

A model that predicts how much a human would like a given response — used to guide RLHF training.

A model trained on human preference data to score arbitrary outputs. Used in the RL stage of RLHF to provide a dense reward signal.

Related: [rlhf](#rlhf) · [ppo](#ppo) · [dpo](#dpo)

### Constitutional AI

CAI

Aligning a model using a written set of principles instead of relying purely on human ratings.

A training method introduced by Anthropic where a model critiques and revises its own outputs against a written 'constitution' of principles, then learns from those revisions.

Related: [rlaif](#rlaif) · [rlhf](#rlhf) · [alignment](#alignment)

### LoRA

Low-Rank Adaptation

A fine-tuning trick that updates a tiny set of extra parameters while freezing the main model — fast and cheap.

A parameter-efficient fine-tuning method that injects low-rank trainable matrices into model layers while freezing the base weights. Drastically reduces compute and memory.

Related: [qlora](#qlora) · [peft](#peft) · [fine-tuning](#fine-tuning)

### QLoRA

Quantized LoRA

LoRA performed on top of a quantized (compressed) base model — fine-tune huge models on a single GPU.

Combines LoRA with 4-bit quantization of the base model, enabling fine-tuning of very large models on consumer hardware.

Related: [lora](#lora) · [quantization](#quantization) · [peft](#peft)

### PEFT

Parameter-Efficient Fine-Tuning

An umbrella for methods that fine-tune only a small fraction of a model's parameters.

A family of fine-tuning techniques (LoRA, adapters, prefix tuning) that update only a small fraction of parameters, retaining most of the base model frozen.

Related: [lora](#lora) · [adapter](#adapter) · [fine-tuning](#fine-tuning)

### Adapter

A small trainable module slotted into a frozen model — a precursor to LoRA.

Small bottleneck modules inserted between layers of a frozen pretrained model and trained for a specific task. A foundational PEFT technique.

Related: [peft](#peft) · [lora](#lora) · [fine-tuning](#fine-tuning)

### Prefix Tuning

Learning a small 'fake prompt' of trainable vectors that conditions the model toward a task.

A PEFT method that learns continuous prefix vectors prepended to keys and values at every layer, while keeping model weights frozen.

Related: [peft](#peft) · [prompt-tuning](#prompt-tuning)

### Prompt Tuning

Learning a tiny continuous prompt that steers a frozen model toward a task — even smaller than prefix tuning.

A PEFT method that learns a small set of continuous embeddings prepended to the input. Cheaper than prefix tuning but typically less expressive.

Related: [prefix-tuning](#prefix-tuning) · [peft](#peft)

### Distillation

Knowledge Distillation

Training a small 'student' model to imitate a big 'teacher' model — shrinking models without losing too much.

Training a smaller model to match the outputs (or internal states) of a larger one. Produces fast, deployable models that retain much of the teacher's capability.

Related: [quantization](#quantization) · [slm](#slm)

### Quantization

Compressing a model by storing its weights in smaller number formats — 4 or 8 bits instead of 16 or 32.

Reducing the numerical precision of model weights (e.g. FP16 → INT8 → INT4) to shrink memory and speed up inference, usually with a small quality cost.

Related: [qlora](#qlora) · [distillation](#distillation) · [inference](#inference)

### Pruning

Removing redundant weights or neurons from a model to make it leaner.

Removing weights, neurons, or whole structures judged unimportant. Can be unstructured or structured; often paired with fine-tuning to recover performance.

Related: [quantization](#quantization) · [distillation](#distillation)

### Gradient Descent

The algorithm that nudges a model's weights in whichever direction reduces the error, over and over.

The core optimisation algorithm of deep learning. Computes the gradient of a loss with respect to parameters and updates them in the opposite direction, scaled by a learning rate.

Related: [neural-network](#neural-network) · [pre-training](#pre-training)

### Inference

Using a trained model to produce outputs — what happens every time you send a prompt.

The process of generating outputs from a trained model. Distinct from training; usually the dominant cost in production deployment.

Related: [latency](#latency) · [tps](#tps) · [vllm](#vllm)

### Latency

How long it takes a model to respond — measured end-to-end or to the first character.

Time taken to produce a response. For LLMs, broken into TTFT (first token) and per-token decode latency.

Related: [ttft](#ttft) · [tps](#tps) · [inference](#inference)

### TTFT

Time To First Token

How long you wait before the first character appears — what users perceive as 'responsiveness'.

The latency from request submission to the model emitting its first output token. Dominated by prompt encoding and KV-cache warmup.

Related: [latency](#latency) · [tps](#tps) · [kv-cache](#kv-cache)

### TPS

Tokens Per Second

How fast a model generates after it starts — higher = more text per second.

The rate of output token generation. Limited by memory bandwidth (decode-bound) more than compute on modern hardware.

Related: [latency](#latency) · [ttft](#ttft) · [vllm](#vllm)

### KV Cache

A memory of already-computed attention values so the model doesn't redo work for each new token.

The cached keys and values from prior tokens, reused on every decode step to avoid recomputing the full prompt. Grows linearly with context length.

Related: [paged-attention](#paged-attention) · [context-window](#context-window) · [inference](#inference)

### Paged Attention

An efficient way to manage KV cache memory, inspired by virtual memory in operating systems.

An inference optimisation introduced in vLLM that allocates KV cache in non-contiguous blocks, dramatically reducing memory fragmentation and enabling higher batch sizes.

Related: [kv-cache](#kv-cache) · [vllm](#vllm) · [continuous-batching](#continuous-batching)

### Continuous Batching

Letting different requests be added and removed from a batch mid-generation, instead of waiting for the slowest one.

A serving technique where new requests join an in-flight batch as soon as slots free up, dramatically improving throughput over static batching.

Related: [paged-attention](#paged-attention) · [vllm](#vllm) · [tps](#tps)

### Speculative Decoding

Using a small fast model to draft several tokens that the big model then verifies in one shot.

A decoding technique where a draft model proposes multiple tokens which the target model verifies in parallel. Speeds up generation when drafts are often correct.

Related: [latency](#latency) · [tps](#tps) · [inference](#inference)

### Beam Search

Generation that explores multiple promising candidate sequences in parallel and keeps the best ones.

A decoding algorithm that maintains the top-K partial sequences at each step. Common in machine translation; less used for chat LLMs.

Related: [greedy-decoding](#greedy-decoding) · [sampling](#sampling)

### Greedy Decoding

Always pick the single most likely next token — fast and deterministic but boring.

Decoding that selects the highest-probability token at each step. Deterministic but often produces repetitive or generic text.

Related: [beam-search](#beam-search) · [sampling](#sampling) · [temperature](#temperature)

### Temperature

A knob that controls randomness: low = predictable, high = creative and unpredictable.

A parameter that scales token logits before softmax. Lower values sharpen the distribution (more deterministic), higher values flatten it (more diverse).

Related: [top-k](#top-k) · [top-p](#top-p) · [sampling](#sampling)

### Top-K Sampling

Restricting sampling to the K most likely next tokens — keeps output coherent without going full robot.

Truncates the sampling distribution to the K highest-probability tokens before renormalising and sampling.

Related: [top-p](#top-p) · [temperature](#temperature) · [sampling](#sampling)

### Top-P (Nucleus) Sampling

Sampling only from the smallest set of tokens whose probabilities add up to P — adaptive top-K.

Truncates the distribution to the smallest set of tokens whose cumulative probability exceeds P. More adaptive than top-K to confident vs uncertain steps.

Related: [top-k](#top-k) · [temperature](#temperature) · [sampling](#sampling)

### vLLM

A popular open-source library for serving LLMs fast, originally built around paged attention.

An open-source LLM inference engine known for high throughput via paged attention and continuous batching. Widely used for production serving.

Related: [paged-attention](#paged-attention) · [continuous-batching](#continuous-batching) · [inference](#inference)

### Context Window

How much text a model can 'see' at once — its short-term memory, measured in tokens.

The maximum number of tokens a model can process in a single forward pass. Modern models range from 8K to 2M+ tokens.

Related: [token](#token) · [kv-cache](#kv-cache) · [llm](#llm)

### RAG

Retrieval-Augmented Generation

Letting an LLM look things up before answering, instead of guessing from memory.

A pattern where an LLM is given retrieved documents at inference time and uses them to ground its response. Reduces hallucination and lets models use information not in their training data.

Related: [embeddings](#embeddings) · [vector-database](#vector-database) · [reranking](#reranking)

### Embeddings

Turning words or sentences into numbers so a computer can tell which ones mean similar things.

Dense vector representations of text (or other modalities) where semantically similar items are close in vector space. Foundational to search, RAG, and clustering.

Related: [vector-database](#vector-database) · [semantic-search](#semantic-search) · [embeddings](#embeddings)

### Vector Database

A database optimised for finding the most similar embeddings to a query, fast.

A database designed to store and query high-dimensional vectors using approximate nearest neighbour search. Pinecone, Weaviate, Qdrant, pgvector.

Related: [embeddings](#embeddings) · [vector-search](#vector-search) · [rag](#rag)

### Vector Search

ANN Search

Finding the closest embeddings to a query — used to retrieve relevant documents for RAG.

Searching for the nearest vectors to a query embedding, typically with approximate nearest neighbour algorithms (HNSW, IVF, ScaNN) for speed.

Related: [vector-database](#vector-database) · [embeddings](#embeddings) · [semantic-search](#semantic-search)

### Semantic Search

Search that understands meaning — finds 'car repair' when you type 'fix my vehicle'.

Search that matches on meaning rather than exact keywords, typically powered by embedding similarity instead of (or alongside) lexical scoring.

Related: [vector-search](#vector-search) · [embeddings](#embeddings) · [hybrid-search](#hybrid-search)

### Reranking

A second-pass step that takes the top retrieved results and re-orders them with a more accurate model.

A pipeline stage that re-scores an initial set of retrieval candidates using a more expensive but more accurate model (often a cross-encoder).

Related: [cross-encoder](#cross-encoder) · [bi-encoder](#bi-encoder) · [rag](#rag)

### Cross-Encoder

A model that scores a (query, document) pair together — slow but accurate.

A model that takes a concatenated query-document pair and outputs a relevance score. More accurate than bi-encoders but cannot pre-index documents.

Related: [bi-encoder](#bi-encoder) · [reranking](#reranking)

### Bi-Encoder

A model that encodes queries and documents separately — fast because you can pre-index everything.

A model that encodes queries and documents independently into the same vector space, enabling fast retrieval via similarity search.

Related: [cross-encoder](#cross-encoder) · [embeddings](#embeddings)

### BM25

Best Matching 25

The classic keyword-based search algorithm — fast, simple, and still surprisingly strong.

A bag-of-words ranking function that scores documents by term frequency, inverse document frequency, and document length. The de-facto baseline for lexical retrieval.

Related: [hybrid-search](#hybrid-search) · [semantic-search](#semantic-search)

### Hybrid Search

Combining keyword search and semantic search to get the best of both — exact matches plus meaning.

A retrieval approach that fuses lexical (BM25) and semantic (vector) scores, often producing better results than either alone.

Related: [bm25](#bm25) · [semantic-search](#semantic-search) · [vector-search](#vector-search)

### Chunking

Splitting long documents into smaller pieces so each chunk can be embedded and retrieved on its own.

The pre-processing step that divides documents into retrieval-sized passages. Strategy (fixed-size, semantic, recursive) materially affects RAG quality.

Related: [rag](#rag) · [embeddings](#embeddings)

### Cosine Similarity

A measure of how similar two embedding vectors are, based on the angle between them.

Measures similarity as the cosine of the angle between two vectors. Standard similarity metric for normalised text embeddings.

Related: [embeddings](#embeddings) · [vector-search](#vector-search)

### Hallucination

When a model confidently makes up information that isn't true.

Generation of plausible-sounding but factually incorrect output. A core failure mode of LLMs, mitigated (not eliminated) by RAG, grounding, and better training.

Related: [rag](#rag) · [truthfulness](#truthfulness)

### Perplexity

A measure of how 'surprised' a model is by text — lower means it predicts the data better.

The exponential of the cross-entropy loss. Standard intrinsic metric for language model quality on a held-out corpus.

Related: [benchmark](#benchmark) · [eval-harness](#eval-harness)

### MMLU

Massive Multitask Language Understanding

A common benchmark of 57 subjects (math, law, medicine, etc.) used to compare LLM general knowledge.

A multiple-choice benchmark spanning 57 subjects from high-school to professional level, widely used to compare LLMs on general knowledge and reasoning.

Related: [humaneval](#humaneval) · [benchmark](#benchmark)

### HumanEval

A benchmark of 164 programming problems used to measure how well models can write code.

A benchmark of 164 Python programming problems with unit tests. Standard for measuring code generation capability.

Related: [mmlu](#mmlu) · [benchmark](#benchmark)

### Benchmark

A standardised test used to compare AI models fairly.

A standardised dataset and evaluation protocol used to measure and compare model capabilities. Examples: MMLU, GSM8K, HumanEval, MT-Bench, IFEval.

Related: [mmlu](#mmlu) · [humaneval](#humaneval) · [eval-harness](#eval-harness)

### Eval Harness

Software that runs many benchmarks on a model in a consistent way, so results are comparable.

A framework that standardises how benchmarks are run — prompt format, scoring, sampling settings — so models can be compared fairly. EleutherAI lm-eval-harness is the de facto standard.

Related: [benchmark](#benchmark) · [perplexity](#perplexity)

### LLM-as-Judge

Using one LLM to score the outputs of another — fast, scalable, but biased.

An evaluation method where a capable LLM rates outputs from other models. Cheaper than human eval but suffers from position bias, verbosity bias, and family bias.

Related: [benchmark](#benchmark) · [rlaif](#rlaif)

### BLEU

Bilingual Evaluation Understudy

A classic translation metric that compares n-gram overlap between machine output and reference text.

An n-gram precision metric originally developed for machine translation. Largely superseded by neural metrics and LLM judges for modern generation tasks.

Related: [rouge](#rouge) · [benchmark](#benchmark)

### ROUGE

Recall-Oriented Understudy for Gisting Evaluation

A summarisation metric that measures n-gram recall between generated and reference summaries.

A family of recall-oriented n-gram overlap metrics used historically for summarisation evaluation.

Related: [bleu](#bleu) · [benchmark](#benchmark)

### Truthfulness

Whether a model's confident statements are actually true — distinct from being fluent or persuasive.

Whether a model's assertions are factually correct. Distinct from fluency and helpfulness; evaluated by benchmarks like TruthfulQA and SimpleQA.

Related: [hallucination](#hallucination) · [benchmark](#benchmark)

### Prompt

The text you send to an AI to ask it to do something.

The input text given to an LLM. Comprises any combination of system instructions, user messages, examples, and retrieved context.

Related: [system-prompt](#system-prompt) · [prompt-engineering](#prompt-engineering)

### System Prompt

A standing instruction that sets the model's role, tone, and rules before the conversation starts.

An initial instruction that conditions an LLM's behaviour across the conversation, typically containing role, constraints, format, and safety rules.

Related: [prompt](#prompt) · [chat-model](#chat-model)

### Chain-of-Thought

CoT

Asking a model to think step by step before answering — usually gives much better results on hard problems.

A prompting technique that elicits intermediate reasoning steps before a final answer. Significantly improves accuracy on math, reasoning, and multi-step tasks.

Related: [few-shot](#few-shot) · [react](#react) · [prompt-engineering](#prompt-engineering)

### Few-Shot Learning

Showing the model a handful of input-output examples in the prompt so it understands the pattern.

Prompting an LLM with a small number of demonstrations of the desired input-output mapping, without any weight updates.

Related: [zero-shot](#zero-shot) · [in-context-learning](#in-context-learning) · [prompt-engineering](#prompt-engineering)

### Zero-Shot Learning

Asking the model to do something with no examples — just a clear instruction.

Prompting an LLM to perform a task using only instructions, with no demonstrations. Relies on the model's pretraining and instruction tuning.

Related: [few-shot](#few-shot) · [in-context-learning](#in-context-learning)

### In-Context Learning

ICL

An LLM's ability to learn a new task purely from examples in the prompt, without retraining.

The ability of LLMs to adapt their behaviour based on demonstrations in the prompt, without any parameter updates. Emerges at scale.

Related: [few-shot](#few-shot) · [zero-shot](#zero-shot) · [prompt-engineering](#prompt-engineering)

### Prompt Engineering

The craft of writing prompts that get the best behaviour out of a model.

The practice of designing prompts to elicit reliable, high-quality model behaviour. Covers structure, examples, format constraints, and role framing.

Related: [prompt](#prompt) · [chain-of-thought](#chain-of-thought) · [few-shot](#few-shot)

### Prompt Injection

An attack where malicious text in the input hijacks the model's instructions.

A security vulnerability where untrusted input contains instructions that override the system prompt. Especially dangerous in agents that read web pages or emails.

Related: [jailbreak](#jailbreak) · [agent](#agent)

### Jailbreak

Tricking a model into ignoring its safety rules through clever prompting.

A prompt that bypasses an LLM's safety training and elicits content the model was tuned to refuse. Distinct from prompt injection (different threat model).

Related: [prompt-injection](#prompt-injection) · [constitutional-ai](#constitutional-ai)

### Function Calling

When an LLM produces a structured request to call a tool — the basis of agents and integrations.

A feature where an LLM, given tool schemas, outputs structured JSON specifying which tool to call and with what arguments. The foundation of modern agent frameworks.

Related: [tool-use](#tool-use) · [agent](#agent) · [mcp](#mcp)

### Tool Use

An LLM calling external tools — code, search, APIs — to do things it can't do on its own.

The general capability of an LLM to invoke external systems (code execution, search, APIs) via structured outputs, expanding its action space beyond text generation.

Related: [function-calling](#function-calling) · [agent](#agent) · [mcp](#mcp)

### Agent

An LLM that doesn't just answer once — it plans, takes actions, observes results, and keeps going until done.

An LLM-driven system that autonomously plans, executes tools, observes results, and iterates toward a goal across multiple turns.

Related: [agentic-workflow](#agentic-workflow) · [tool-use](#tool-use) · [react](#react)

### Agentic Workflow

A multi-step process where an AI agent makes decisions about what to do next at each step.

A workflow where an LLM agent makes routing or tool-selection decisions at each step, rather than following a fixed pipeline.

Related: [agent](#agent) · [tool-use](#tool-use) · [react](#react)

### MCP

Model Context Protocol

An open standard from Anthropic for connecting LLMs to tools and data sources in a consistent way.

An open protocol introduced by Anthropic that standardises how LLM applications connect to external tools, resources, and prompts. Decouples agents from tool implementations.

Related: [tool-use](#tool-use) · [function-calling](#function-calling) · [agent](#agent)

### ReAct

Reason + Act

A prompting pattern where the model alternates between thinking and taking actions until it solves the task.

A prompting pattern where the model interleaves reasoning ('Thought:') and acting ('Action:') steps, observing tool outputs between them. Foundational to early agent frameworks.

Related: [chain-of-thought](#chain-of-thought) · [agent](#agent) · [tool-use](#tool-use)

### Token

A chunk of text — roughly a word or a piece of one — that the model actually sees and processes.

The atomic unit of input/output for an LLM. Created by a tokenizer; typically 1 token ≈ 4 characters or ~0.75 English words.

Related: [tokenizer](#tokenizer) · [bpe](#bpe) · [vocabulary](#vocabulary)

### Tokenizer

The component that splits text into tokens before feeding it to the model.

The component that converts raw text to and from token IDs. Modern LLMs use subword tokenizers (BPE, WordPiece, SentencePiece).

Related: [token](#token) · [bpe](#bpe) · [vocabulary](#vocabulary)

### BPE

Byte Pair Encoding

A common tokenisation algorithm that merges frequent character pairs to build a vocabulary.

A subword tokenisation algorithm that iteratively merges the most frequent pair of adjacent symbols. Used by GPT, Llama, and most modern LLMs.

Related: [tokenizer](#tokenizer) · [token](#token) · [vocabulary](#vocabulary)

### Vocabulary

The full set of tokens a model knows — typically tens or hundreds of thousands.

The complete set of token IDs a tokenizer can produce. Modern LLMs use vocabularies of 32K–256K tokens.

Related: [tokenizer](#tokenizer) · [token](#token) · [bpe](#bpe)

### Sequence Length

The number of tokens in a particular input or output.

The token count of a specific input or output. Bounded by the model's context window.

Related: [context-window](#context-window) · [token](#token)

### Special Tokens

Reserved tokens that mark structure — start of message, end of turn, system role, etc.

Reserved tokens in a vocabulary used for structural purposes — beginning-of-sequence, end-of-turn, role markers, padding.

Related: [tokenizer](#tokenizer) · [chat-model](#chat-model)

### Stop Sequence

A string that tells the model to stop generating once it produces it.

A token or string that, when produced by the model, terminates generation. Used to enforce response boundaries in structured outputs and chat formats.

Related: [special-tokens](#special-tokens) · [sampling](#sampling)

### Sampling

How a model picks the next token from its probability distribution — random or deterministic.

The decoding strategy used to choose the next token from the model's predicted distribution. Includes greedy, top-K, top-P, and temperature-based methods.

Related: [temperature](#temperature) · [top-k](#top-k) · [top-p](#top-p)

No terms match that search. Try something else.

---

## Document: JobsByCulture — Culture-First AI & Tech Job Board

# JobsByCulture — Culture-First AI & Tech Job Board

> Culture-first job board. Filter 13,906 AI & tech roles by values like async-first, ethical AI, work-life balance, and more.

Source: https://jobsbyculture.com/
Markdown: https://jobsbyculture.com/index.md
Last updated: 2026-07-14

---
# I'm a Software Engineer▾

who cares about…

Select what matters to you:

Built on **real employee reviews**, not marketing fluff.

13,906

AI & tech roles

18

culture values

118

companies profiled

30+

countries

[Not sure what you're looking for? **Take the Culture Quiz →**](#quiz)

[💡 Today's AI term RAG Letting an LLM look things up before answering, instead of guessing from memory. See all 120 terms →](https://jobsbyculture.com/glossary#rag)

01 — Company Profiles

## Teams that _live_ their values

Real culture profiles built from employee reviews. Click any company to see the full breakdown.

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

AI Safety · San Francisco / Remote

⭐ 4.4

🛡️ Ethical AI 📚 Learning & Growth 🤝 Flat Hierarchy ⚙️ Engineering-Driven 💰 Strong Equity

"High-trust, low-politics environment. Mission-driven to the core. Engineers own projects end-to-end with incredible autonomy."

Size~1,500 employees

Recommend95%

Work-Life Balance3.7/5

Salary Range$300k – $490k

**👍 Pros**

-   Mission-driven to the core, not marketing
-   Incredible autonomy and ownership
-   Top-tier comp ($300k–$490k TC for engineers)
-   Smart, humble, low-ego coworkers

**👎 Cons**

-   High-intensity — 60+ hr crunch weeks happen
-   Processes still catching up to hypergrowth
-   Some teams lack clear career ladders
-   SF-heavy despite "remote-friendly" label

Based on Glassdoor reviews + Blind employee posts

🇺🇸 SF · 🇬🇧 London · Remote

 [Full Profile →](https://jobsbyculture.com/companies/anthropic) [See Jobs →](https://jobsbyculture.com/jobs?company=anthropic)

![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Hugging Face

Open-Source AI · Remote-First

⭐ 3.8

📖 Open Source 💬 Async-First 🌍 Remote-Native

"The open-source community vibe extends internally. Flat structure, remote-first, and you genuinely build in public."

Size~700 employees

Recommend78%

Work-Life Balance4.1/5

Salary Range$150k – $280k

**👍 Pros**

-   True open-source DNA — Transformers library, Hub
-   Remote-first and async culture actually works
-   Flat hierarchy, anyone can push to main
-   Incredible community and developer love

**👎 Cons**

-   Below-market comp compared to FAANG
-   Fast-moving environment with lightweight processes
-   Career progression unclear
-   Some teams stretched thin

Based on Glassdoor reviews + community feedback

🌍 Fully Remote · 🇺🇸 NYC · 🇫🇷 Paris

 [Full Profile →](https://jobsbyculture.com/companies/huggingface) [See Jobs →](https://jobsbyculture.com/jobs?company=huggingface)

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Data & AI Platform · San Francisco

⭐ 4.1

⚙️ Engineering-Driven 📚 Learning 🌈 Diverse & Inclusive 💰 Strong Equity

"Engineering-first culture at scale. Strong investment in employee growth with a global footprint."

Size~7,000 employees

Recommend82%

Work-Life Balance3.9/5

Salary Range$180k – $380k

**👍 Pros**

-   Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree
-   Strong comp and equity
-   Genuine learning culture with internal tech talks
-   Data lakehouse category leader

**👎 Cons**

-   Hypergrowth means org changes are constant
-   Some legacy Spark-era tech debt
-   Some large-company dynamics emerging as the org scales
-   Work-life balance varies heavily by team

Based on Glassdoor reviews

🇺🇸 SF · 🇳🇱 Amsterdam · 🇸🇬 Singapore · 🇮🇳 Bangalore

 [Full Profile →](https://jobsbyculture.com/companies/databricks) [See Jobs →](https://jobsbyculture.com/jobs?company=databricks)

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Enterprise AI · Toronto / Remote

⭐ 3

📚 Learning & Growth ⚙️ Engineering-Driven 🎭 Wear Many Hats

"Enterprise AI with a research lab feel. Fast-growing with lots of opportunity to own new problem spaces."

Size~500 employees

Recommend48%

Work-Life Balance3.5/5

Salary Range$150k – $300k CAD

**👍 Pros**

-   Cutting-edge NLP research from Transformer co-author
-   Enterprise AI focus gives real customer impact
-   Toronto HQ means strong Canadian talent pool
-   Fast-moving with startup energy

**👎 Cons**

-   Glassdoor rating around 3.0 with 38% recommend — sub-par sentiment
-   Multiple reviews describe a difficult atmosphere following layoffs and reorgs
-   Career growth paths reported as unclear (career opportunities 2.6/5)
-   Frequent organizational restructuring has impacted retention

Based on Glassdoor reviews

🇨🇦 Toronto · 🇺🇸 SF · 🇬🇧 London

 [Full Profile →](https://jobsbyculture.com/companies/cohere) [See Jobs →](https://jobsbyculture.com/jobs?company=cohere)

![Mistral AI](https://www.google.com/s2/favicons?domain=mistral.ai&sz=128)

Mistral AI

Open-Source AI · Paris

⭐ 4

🚀 Ship Fast ⚙️ Engineering-Driven 📖 Open Source 🤝 Flat Hierarchy 🎭 Wear Many Hats

"Small, elite team shipping world-class open models from Paris. Research meets engineering at startup speed."

Size~100 employees

Recommend80%

Work-Life Balance3.6/5

Salary Range€80k – €200k

**👍 Pros**

-   Small team punching way above weight — Mixtral, Mistral Large
-   European AI champion with strong research DNA
-   Open-weight model philosophy
-   Startup speed with serious funding

**👎 Cons**

-   Very early-stage — processes are minimal
-   Paris-centric (limited remote)
-   Intense pace, startup hours
-   Limited career ladder at this size

Based on Glassdoor reviews + industry reports

🇫🇷 Paris · 🇺🇸 SF · 🇬🇧 London

 [Full Profile →](https://jobsbyculture.com/companies/mistral) [See Jobs →](https://jobsbyculture.com/jobs?company=mistral)

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Marketing & CRM · Cambridge / Remote

⭐ 3.5

🌈 Diverse & Inclusive 📚 Learning ⚖️ Work-Life Balance 🔓 Transparent 🧘 Psych Safety

"The Culture Code is real here, not just a PDF. Genuine flexibility, strong DEI, and managers who actually care."

Size~8,000 employees

Recommend87%

Work-Life Balance4.1/5

Salary Range$140k – $250k

**👍 Pros**

-   Culture Code is legendary — transparency, autonomy, flexibility are real
-   Remote-first done right
-   Strong engineering blog and internal learning
-   Genuinely inclusive, high psychological safety

**👎 Cons**

-   Enterprise sales culture can clash with eng
-   Comp below FAANG for senior roles
-   Large org = slower decisions
-   Some teams feel bureaucratic

Based on Glassdoor reviews

🇺🇸 Cambridge · 🇮🇪 Dublin · 🌍 Remote

 [Full Profile →](https://jobsbyculture.com/companies/hubspot) [See Jobs →](https://jobsbyculture.com/jobs?company=hubspot)

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Frontend Cloud · Remote-First

⭐ 3.9

🚀 Ship Fast ⚙️ Engineering-Driven 🌍 Remote 🎯 Product Impact

"Ship on Friday, deploy on Monday. Developer tools company that eats its own dogfood. Fast-paced and product-obsessed."

Size~600 employees

Recommend72%

Work-Life Balance3.4/5

Salary Range$180k – $320k

**👍 Pros**

-   Building the future of web infra — Next.js, Turbopack
-   Remote-first with async culture
-   Ship-fast mentality is real — weekly releases
-   Strong open-source community impact

**👎 Cons**

-   High expectations, fast pace can lead to burnout
-   Leadership sets very high standards
-   Some teams have unclear ownership
-   Comp competitive but not top-tier

Based on Glassdoor reviews

🇺🇸 SF · 🌍 Remote

 [Full Profile →](https://jobsbyculture.com/companies/vercel) [See Jobs →](https://jobsbyculture.com/jobs?company=vercel)

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Payments Infrastructure · San Francisco

⭐ 4

⚙️ Engineering-Driven 📚 Learning 🎯 Product Impact 🔓 Transparent

"Rigorous engineering culture. Writing-first communication. The bar is extremely high and staying here means you clear it."

Size~8,000 employees

Recommend80%

Work-Life Balance3.6/5

Salary Range$200k – $400k

**👍 Pros**

-   Engineering culture is elite — internal tools, code quality, writing culture
-   Top comp in fintech
-   Solving genuinely hard distributed systems problems
-   Intellectual rigor and long-term thinking

**👎 Cons**

-   Perfectionism can slow shipping
-   The 2022-23 layoffs affected team morale
-   Promotion process opaque
-   Work-life balance struggles in payments/infra teams

Based on Glassdoor reviews + Blind posts

🇺🇸 SF · 🇮🇪 Dublin · 🇸🇬 Singapore

 [Full Profile →](https://jobsbyculture.com/companies/stripe) [See Jobs →](https://jobsbyculture.com/jobs?company=stripe)

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

AI Search · San Francisco

⭐ 4.7

🚀 Ship Fast ⚙️ Engineering-Driven 💰 Strong Equity 🎯 Product Impact

"Small teams shipping features to millions of users. High intensity, high reward startup energy with exceptional speed."

Size~500 employees

Recommend92%

Work-Life Balance4.3/5

Salary Range$200k – $400k

**👍 Pros**

-   Fastest-growing AI product — real users, real revenue
-   Small team, massive impact per engineer
-   Strong comp and equity
-   CEO is deeply technical and accessible

**👎 Cons**

-   Startup intensity — expect long hours
-   Growing pains as team scales fast
-   Limited work-life balance
-   Processes are catching up to growth

Based on Glassdoor reviews + Blind posts

🇺🇸 SF · 🇬🇧 London

 [Full Profile →](https://jobsbyculture.com/companies/perplexity) [See Jobs →](https://jobsbyculture.com/jobs?company=perplexity)

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

AI Infrastructure · San Francisco

⭐ 4.1

📖 Open Source ⚙️ Engineering-Driven 🤝 Flat Hierarchy 📚 Learning 🎭 Wear Many Hats

"Building the infrastructure layer for open AI. Small team, big ambition, strong research DNA."

Size~150 employees

Recommend82%

Work-Life Balance3.8/5

Salary Range$180k – $350k

**👍 Pros**

-   Open-source AI infrastructure — real mission alignment
-   Small team with outsized research output
-   Strong comp for stage
-   Collaborative, low-ego culture

**👎 Cons**

-   Early-stage means wearing many hats constantly
-   Limited career ladder
-   Fast-changing priorities
-   Less brand recognition than competitors

Based on Glassdoor reviews

🇺🇸 SF

 [Full Profile →](https://jobsbyculture.com/companies/together) [See Jobs →](https://jobsbyculture.com/jobs?company=together)

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

AI Code Editor · San Francisco

⭐ 4

🚀 Ship Fast ⚙️ Engineering-Driven 🤝 Flat 🎭 Wear Many Hats

"Tiny team building the most-loved AI code editor. Everyone ships, everyone matters. Pure startup energy."

Size~50 employees

Recommend~85%

Work-Life Balance3.5/5

Salary Range$180k – $350k

**👍 Pros**

-   Building the most-loved AI code editor — massive developer love
-   Tiny team, extreme ownership
-   Top comp for stage
-   Pure product-engineering culture, no bloat

**👎 Cons**

-   Extremely small = no specialists, everyone does everything
-   Intense pace
-   Limited HR/people ops
-   Career growth bounded by team size

Based on limited reviews + community feedback

🇺🇸 SF

 [Full Profile →](https://jobsbyculture.com/companies/cursor) [See Jobs →](https://jobsbyculture.com/jobs?company=cursor)

![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Linear

Project Management · Remote-First

⭐ 4.6

🧠 Deep Work 🌍 Remote-Native 💬 Async-First 🎯 Product Impact ⚙️ Eng-Driven

"Craft-obsessed, design-driven, fully remote. They build the tool the way they work — focused, intentional, no noise."

Size~80 employees

Recommend95%

Work-Life Balance4.4/5

Salary Range$160k – $280k

**👍 Pros**

-   Obsessive product craft — best-in-class PM tool
-   Deep work culture (no standups, minimal meetings)
-   Async-first actually practiced
-   Small, senior team with high autonomy

**👎 Cons**

-   Very small team = limited roles available
-   High hiring bar means slow growth
-   Niche product category
-   Limited public engineering content

Based on Glassdoor reviews

🌍 Fully Remote

 [Full Profile →](https://jobsbyculture.com/companies/linear) [See Jobs →](https://jobsbyculture.com/jobs?company=linear)

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

AI Data Infrastructure · San Francisco

⭐ 3.2

⚙️ Eng-Driven 🎯 Product Impact 📚 Learning Culture 🚀 Ship Fast

"The picks and shovels of the AI gold rush — powering data infrastructure for OpenAI, Meta, and the US government."

Size~1,200 employees

Recommend56%

Work-Life Balance2.7/5

Salary Range$150k – $350k

**👍 Pros**

-   Building critical AI data infrastructure for top AI labs
-   Strong compensation for engineers — competitive base + equity
-   Career growth in a rapidly expanding AI data market
-   Smart, driven coworkers solving hard problems

**👎 Cons**

-   Work-life balance rated 2.7/5 — long hours common during deadlines
-   Culture score 2.9/5 — inconsistent management quality across teams
-   Rapid scaling has created organizational growing pains
-   Contractor workforce dynamics add team complexity

Based on Glassdoor reviews

🇺🇸 SF · Global

 [Full Profile →](https://jobsbyculture.com/companies/scale) [See Jobs →](https://jobsbyculture.com/jobs?company=scale)

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

GPU Cloud Infrastructure · Public (CRWV)

⭐ 3.4

⚙️ Eng-Driven 🚀 Ship Fast 💰 Strong Equity

"GPU cloud infrastructure leader backed by NVIDIA. 32 data centers, 250K+ GPUs, stock up 200%+ since IPO."

Size~2,100 employees

Recommend62%

Work-Life Balance3.2/5

Salary Range$140k – $300k

**👍 Pros**

-   GPU cloud leader backed by NVIDIA ($2B investment Jan 2026)
-   Strong comp and equity — stock up 200%+ since IPO
-   Hard distributed systems and GPU infrastructure challenges
-   Rapid growth = abundant career opportunities

**👎 Cons**

-   Work-life balance can be challenging — some teams report long hours
-   Culture rated 3.1/5 — organizational processes still maturing
-   Management quality varies across teams (3.0/5)
-   Hypergrowth from ~880 to ~1,800 employees creates adjustment challenges

Based on Glassdoor reviews

🇺🇸 NJ · Multi-site

 [Full Profile →](https://jobsbyculture.com/companies/coreweave) [See Jobs →](https://jobsbyculture.com/jobs?company=coreweave)

![Runway](https://www.google.com/s2/favicons?domain=runwayml.com&sz=128)

Runway

AI Video Generation · New York

⭐ 4.5

⚙️ Eng-Driven 🎯 Product Impact 🌍 Remote-Native 📚 Learning Culture 🚀 Ship Fast

"Pioneer in AI video generation — Gen-3 Alpha is industry-leading. A unique blend of art and engineering, used by filmmakers and creators globally."

Size~420 employees

Recommend90%

Work-Life Balance4.0/5

Salary Range$180k – $350k

**👍 Pros**

-   Pioneer in AI video generation — Gen-3 Alpha is industry-leading
-   Unique creative + technical culture that values aesthetics
-   Mostly remote-friendly with strong async practices
-   Strong research output with real product impact

**👎 Cons**

-   Smaller team (~420) means limited specialization
-   AI video generation is an increasingly competitive space
-   Limited public engineering blog content
-   New York HQ can mean fewer roles outside the US

Based on Glassdoor reviews

🇺🇸 NYC · Remote

 [Full Profile →](https://jobsbyculture.com/companies/runway) [See Jobs →](https://jobsbyculture.com/jobs?company=runway)

![Vast AI](https://www.google.com/s2/favicons?domain=vast.ai&sz=128)

Vast AI

GPU Cloud Marketplace · LA & SF

⭐ 5

⚙️ Eng-Driven 🚀 Ship Fast 🏗️ Flat Org 🎩 Many Hats 💰 Strong Equity

"Decentralized GPU cloud marketplace — small, bootstrapped team building the cheapest way to run AI compute at scale."

Size~30 employees

CEO Approval100%

Work-Life Balance4.5/5

Salary Range$150k – $250k

**👍 Pros**

-   Front-row seat to the AI compute revolution
-   Strong compensation and equity for stage
-   Direct access to CEO — flat, transparent culture
-   Bootstrapped and profitable — no VC drama

**👎 Cons**

-   Processes still being defined — startup-stage ambiguity
-   Intense pace with demanding workloads
-   Small team means broad responsibilities
-   Limited brand recognition vs. hyperscaler competitors

Based on Glassdoor reviews (limited sample)

🇺🇸 LA · SF

 [Full Profile →](https://jobsbyculture.com/companies/vast) [See Jobs →](https://jobsbyculture.com/jobs?company=vast)

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Sales Intelligence · Remote-First

⭐ 3.7

🚀 Ship Fast ⚙️ Eng-Driven 🌍 Remote-First 🎯 Product Impact 📚 Learning

"AI-powered GTM platform used by 500k+ companies. Y Combinator roots, $1.6B unicorn, shipping fast with a remote-first, product-led culture."

Size~800 employees

Recommend77%

Work-Life Balance3.6/5

Salary Range$130k – $250k

**👍 Pros**

-   Strong product-market fit — best-in-class sales intelligence platform
-   Competitive comp with RSUs and performance bonuses
-   Remote-first with global team (US, UK, India, Poland)
-   Rapid career growth in a high-growth environment ($150M ARR)

**👎 Cons**

-   Work-life balance challenges under startup intensity (3.6/5)
-   Some reports of micromanagement at senior leadership level
-   Management quality varies across teams
-   High performance expectations with weekly tracking cycles

Based on Glassdoor reviews

🌍 Remote · Austin · London

 [Full Profile →](https://jobsbyculture.com/companies/apollo) [See Jobs →](https://jobsbyculture.com/jobs?company=apollo)

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Travel & Tech · Remote-Friendly

⭐ 4.1

🌐 Remote-Friendly ⚖️ Work-Life Balance 🌈 Diverse & Inclusive 🔓 Open Source 💎 Strong Comp

"Pioneered the sharing economy and remote work with 'Live and Work Anywhere.' Open-source powerhouse behind Lottie and Apache Airflow."

Size~7,300 employees

Recommend80%

Work-Life Balance4.0/5

CEO Approval87% (Brian Chesky)

**👍 Pros**

-   Live and Work Anywhere — genuine remote flexibility with no pay cuts
-   Strong compensation with quarterly travel credits and educational stipends
-   Amazing people and collaborative, mission-driven culture
-   Good work-life balance with flexible schedules and minimal mandatory office time

**👎 Cons**

-   Limited career growth — promotions slow, senior roles filled externally
-   Internal politics at mid-to-senior levels can influence decisions
-   Post-IPO cultural shift — increasing bureaucracy vs. early days
-   Accountability gaps in some teams — inconsistent management quality

Based on Glassdoor reviews

🌍 Remote · San Francisco · Global

 [Full Profile →](https://jobsbyculture.com/companies/airbnb) [See Jobs →](https://jobsbyculture.com/jobs?company=airbnb)

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Design Platform · San Francisco

⭐ 3.7

🔧 Eng-Driven 🚀 Ship Fast 📚 Learning 🎯 Product Impact 🧠 Deep Work

"Collaborative design platform making design accessible to all. Real-time multiplayer, WebAssembly rendering, and a culture of craft and play."

Size~2,800 employees

Recommend73%

Work-Life Balance3.1/5

CEO Approval95% (Dylan Field)

**👍 Pros**

-   World-class talent — you learn something new every day from incredibly smart peers
-   Strong product mission — Figma is genuinely loved by its users
-   Technically ambitious problems: real-time multiplayer, WebAssembly, massive-scale infra
-   Culture of play and experimentation — side projects encouraged

**👎 Cons**

-   Work-life balance rated 3.1/5 — 60+ hour weeks common near deadlines
-   Hypergrowth pains — product suite doubled without proportional hiring
-   Senior management rated 3.2/5 — shifting priorities and changing targets
-   Career progression unclear — promotions hard to get with vague criteria

Based on Glassdoor reviews

🌍 San Francisco · New York · Global

 [Full Profile →](https://jobsbyculture.com/companies/figma) [See Jobs →](https://jobsbyculture.com/jobs?company=figma)

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

AI Voice · Remote-First

⭐ 3.8

🚀 Ship Fast 🌍 Remote ⚙️ Eng-Driven 🎯 Product Impact 🛡️ Ethical AI

"Cutting-edge AI voice technology with exceptional talent density. Remote-first culture spanning 30+ countries with a bias for shipping."

Size~600 employees

Recommend78%

Work-Life Balance3.6/5

CEO Approval82% (Mati Staniszewski)

**👍 Pros**

-   Cutting-edge AI voice technology — one of the most advanced in the space
-   Exceptional talent density and remote-first culture spanning 30+ countries

**👎 Cons**

-   Work-life balance is poor — 60+ hour weeks are the norm
-   Leadership maturity concerns — little margin for error or professional growth

Based on Glassdoor reviews

🌍 Remote · Global

 [Full Profile →](https://jobsbyculture.com/companies/elevenlabs) [See Jobs →](https://jobsbyculture.com/jobs?company=elevenlabs)

![Pinecone](https://www.google.com/s2/favicons?domain=pinecone.io&sz=128)

Pinecone

Vector Database · Remote

⭐ 4.2

🌍 Remote ⏰ Flex Hours 🌈 Diverse 📚 Learning ⚙️ Eng-Driven

"Exceptional colleagues — warm, welcoming, and technically among the best. Fully remote with strong autonomy and genuine growth opportunities."

Size~130 employees

Recommend80%

Work-Life Balance4.3/5

CEO Approval85% (Edo Liberty)

**👍 Pros**

-   Exceptional colleagues — warm, welcoming, and technically top-tier
-   Fully remote with strong culture, autonomy, and growth opportunities

**👎 Cons**

-   Significant layoffs in 2024 (30% of staff) eroded trust
-   Below-market base salary even with equity compensation

Based on Glassdoor reviews

🌍 Remote · US

 [Full Profile →](https://jobsbyculture.com/companies/pinecone) [See Jobs →](https://jobsbyculture.com/jobs?company=pinecone)

![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Modal

AI Cloud Infrastructure · New York

⭐ 3.4

⚙️ Eng-Driven 🚀 Ship Fast 🧠 Deep Work 📖 Open Source 🎭 Many Hats

"World-class engineering team — creators of Luigi, Seaborn, and olympiad medalists. High-impact product with 50x revenue growth."

Size~110 employees

Recommend82%

Work-Life Balance3.8/5

CEO Approval88% (Erik Bernhardsson)

**👍 Pros**

-   World-class engineering team with olympiad medalists
-   High-impact product with 50x revenue growth — developers love it

**👎 Cons**

-   Early-stage dynamics — roles shift quickly, requires self-direction
-   Limited HR infrastructure — benefits and career ladders still developing

Based on Glassdoor reviews

🇺🇸 New York · Remote

 [Full Profile →](https://jobsbyculture.com/companies/modal) [See Jobs →](https://jobsbyculture.com/jobs?company=modal)

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Fintech · New York

⭐ 4.2

🚀 Ship Fast 🎯 Product Impact ⚙️ Eng-Driven 🪟 Transparent 💰 Strong Equity

"Exceptional talent and product-driven culture. Outstanding compensation and benefits — 16 weeks maternity, IVF coverage, free lunch."

Size~1,000+ employees

Recommend82%

Work-Life Balance3.5/5

CEO Approval88% (Eric Glyman)

**👍 Pros**

-   Exceptional talent — software engineers rate 4.7/5 on Glassdoor
-   Outstanding compensation and benefits — 16 weeks maternity, IVF coverage

**👎 Cons**

-   Intense work demands — 60+ hour weeks and 10-12 hour days common
-   Shifting to in-office — new hires expected 3+ days/week in NYC, SF, or Miami

Based on Glassdoor reviews

🇺🇸 NYC · SF · Miami

 [Full Profile →](https://jobsbyculture.com/companies/ramp) [See Jobs →](https://jobsbyculture.com/jobs?company=ramp)

![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Weaviate

Vector Database · Remote-First

⭐ 4.3

🌍 Remote 💬 Async-First 🤝 Flat Hierarchy 📖 Open Source ⚖️ Work-Life Balance

"Excellent remote-first culture with async workflows, timezone respect, and high autonomy. Flat, ego-free — your voice is heard from day 1."

Size~110 employees

Recommend85%

Work-Life Balance4.2/5

CEO Approval90% (Bob van Luijt)

**👍 Pros**

-   Excellent remote-first culture — async workflows and timezone respect
-   Flat, ego-free culture — your voice is heard from day 1 regardless of title

**👎 Cons**

-   Time zone challenges inherent to a fully distributed global team
-   Startup growing pains — processes still being established

Based on Glassdoor reviews

🌍 Remote · Global

 [Full Profile →](https://jobsbyculture.com/companies/weaviate) [See Jobs →](https://jobsbyculture.com/jobs?company=weaviate)

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Frontier AI Research · San Francisco

⭐ 4.5

🛠️ Eng-Driven 🚀 Ship Fast 📚 Learning 🤖 Ethical AI 🎯 Product Impact

"Cutting-edge frontier AI research with world-class colleagues. Elite compensation — top-tier TC and equity packages."

Size~3,500 employees

Recommend82%

Work-Life Balance3.6/5

CEO Approval~75% (Sam Altman)

**👍 Pros**

-   Cutting-edge frontier AI research with world-class colleagues
-   Elite compensation — top-tier TC and equity packages

**👎 Cons**

-   High-intensity environment — long hours and intense pace are the norm
-   Internal politics and rapid org changes as the company scales

Based on Glassdoor reviews

📍 San Francisco, CA

 [Full Profile →](https://jobsbyculture.com/companies/openai) [See Jobs →](https://jobsbyculture.com/jobs?company=openai)

![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Google DeepMind

AI Research Lab · London, UK

⭐ 4.2

🧘 Deep Work 📚 Learning 🛠️ Eng-Driven 🌈 Diverse 🤖 Ethical AI

"World-class AI research environment with brilliant, collaborative colleagues. Google-level compensation and benefits with genuine work-life balance."

Size~7,000 employees

Recommend85%

Work-Life Balance4.0/5

CEO Approval86% (Demis Hassabis)

**👍 Pros**

-   World-class AI research environment with brilliant, collaborative colleagues
-   Google-level compensation and benefits with genuine work-life balance

**👎 Cons**

-   Google-scale bureaucracy — slow decision-making compared to startups
-   Large org means less individual ownership and impact on direction

Based on Glassdoor reviews

📍 London, UK

 [Full Profile →](https://jobsbyculture.com/companies/deepmind) [See Jobs →](https://jobsbyculture.com/jobs?company=deepmind)

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Productivity Tools · San Francisco

⭐ 4.4

🎯 Product Impact 🛠️ Eng-Driven 📚 Learning 🔍 Transparent 🌈 Diverse

"Incredible product culture — everyone uses Notion daily and cares deeply. Transparent leadership with accessible founders and high trust."

Size~800 employees

Recommend89%

Work-Life Balance4.2/5

CEO Approval96% (Ivan Zhao)

**👍 Pros**

-   Incredible product culture — everyone uses Notion daily and cares deeply
-   Transparent leadership with accessible founders and high trust

**👎 Cons**

-   Fast pace can lead to burnout, especially during product pushes
-   Hybrid required (3 days in-office) — not truly remote-friendly

Based on Glassdoor reviews

📍 San Francisco, CA

 [Full Profile →](https://jobsbyculture.com/companies/notion) [See Jobs →](https://jobsbyculture.com/jobs?company=notion)

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

LLM Framework · San Francisco

⭐ 4.6

📖 Open Source 🛠️ Eng-Driven 🚀 Ship Fast 🤝 Flat Hierarchy

"Open-source DNA with massive community — your work impacts millions of developers. Small team with outsized impact — ship fast with high autonomy."

Size~230 employees

RecommendN/A

Work-Life Balance4.0/5

CEOHarrison Chase

**👍 Pros**

-   Open-source DNA with massive community — your work impacts millions of developers
-   Small team with outsized impact — ship fast with high autonomy

**👎 Cons**

-   Very early-stage startup — limited structure and processes
-   Rapidly scaling which brings growing pains and role ambiguity

Based on RepVue reviews

📍 San Francisco, CA

 [Full Profile →](https://jobsbyculture.com/companies/langchain) [See Jobs →](https://jobsbyculture.com/jobs?company=langchain)

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

AI Code Editor · Foster City, CA

⭐ 4

🚀 Ship Fast 🌍 Remote 🎩 Many Hats 🎯 Product Impact 🛠️ Eng-Driven

"Exciting AI-powered developer tools — cool technology on the frontier. Remote-friendly with high autonomy and ownership of your work."

Size~200 employees

Recommend83%

Work-Life Balance3.9/5

CEOAmjad Masad

**👍 Pros**

-   Exciting AI-powered developer tools — cool technology on the frontier
-   Remote-friendly with high autonomy and ownership of your work

**👎 Cons**

-   Disorganized operations — processes can feel chaotic
-   Leadership style can feel intense — high pressure to deliver

Based on Glassdoor reviews

📍 Foster City, CA

 [Full Profile →](https://jobsbyculture.com/companies/replit) [See Jobs →](https://jobsbyculture.com/jobs?company=replit)

![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

PostHog

Open-Source Product Analytics · Fully Remote

⭐ 4.3

📖 Open Source 🪟 Transparent 💬 Async-First 🌍 Remote-Native 🤝 Flat Hierarchy

"Extreme transparency — public handbook, open salaries, open-source everything. Fully remote across 30+ countries with genuine async-first culture."

Size~170 employees

Recommend75%

Work-Life Balance4.5/5

CEOJames Hawkins

**👍 Pros**

-   Extreme transparency — public handbook, open-source everything
-   Generous compensation with competitive pay, equity, and home office budget

**👎 Cons**

-   Small team means limited career progression paths
-   Top-down decision-making can sometimes override team input

Based on Glassdoor reviews

🌍 Fully Remote (30+ countries)

 [Full Profile →](https://jobsbyculture.com/companies/posthog) [See Jobs →](https://jobsbyculture.com/jobs?company=posthog)

![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Supabase

Open-Source Firebase Alternative · Fully Remote

⭐ 4.8

📖 Open Source 🌍 Remote-Native ⚙️ Engineering-Driven 🚀 Ship Fast 🤝 Flat Hierarchy

"Truly open-source DNA — build products millions of developers use daily. No-hierarchy remote culture with extreme autonomy."

Size~250 employees

Recommend100%

Work-Life Balance3.0/5

CEOPaul Copplestone

**👍 Pros**

-   Truly open-source DNA — build products millions of developers use daily
-   No-hierarchy remote culture with extreme autonomy and generous allowances

**👎 Cons**

-   Intense workload — more work than a single person can reasonably manage
-   Work-life balance rated 3.0/5 — fast shipping pace can be relentless

Based on Glassdoor reviews

🌍 Fully Remote

 [Full Profile →](https://jobsbyculture.com/companies/supabase) [See Jobs →](https://jobsbyculture.com/jobs?company=supabase)

![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Tailscale

Zero-Config VPN · Remote-First

⭐ 4.4

🌍 Remote-First ⚖️ Work-Life Balance 💰 Strong Equity ⚙️ Engineering-Driven 🌈 Diverse

"Same pay worldwide with 26 weeks parental leave and genuine work-life balance. Brilliant, nerdy CEO who deeply understands the tech."

Size~290 employees

Recommend79%

Work-Life Balance4.5/5

CEOAvery Pennarun

**👍 Pros**

-   Same pay worldwide with 26 weeks parental leave and genuine WLB
-   Brilliant, nerdy CEO — culture is intellectual and respectful

**👎 Cons**

-   Career progression limited — only 3.0/5 on career opportunities
-   Middle management still developing — some growing pains as org scales

Based on Glassdoor reviews

🌍 Remote-First (Toronto HQ)

 [Full Profile →](https://jobsbyculture.com/companies/tailscale) [See Jobs →](https://jobsbyculture.com/jobs?company=tailscale)

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

AI Music Generation · Cambridge, MA

⭐ 3.9

🚀 Ship Fast ⚙️ Engineering-Driven 🎯 Product Impact 🎩 Many Hats 📚 Learning

"Building the leading AI music platform with 2M+ paid subscribers and explosive growth. Creative, mission-driven team at the intersection of AI and music."

Size~200 employees

Recommend85%

Work-Life Balance3.8/5

CEOMikey Shulman

**👍 Pros**

-   Building the leading AI music platform with 2M+ paid subscribers
-   Creative, mission-driven team working at the intersection of AI and music

**👎 Cons**

-   Compensation & benefits rated 3.5/5 — below market for AI startups
-   Startup growing pains — processes and structure still catching up

Based on Glassdoor reviews

📍 Cambridge, MA

 [Full Profile →](https://jobsbyculture.com/companies/suno) [See Jobs →](https://jobsbyculture.com/jobs?company=suno)

![Pylon](https://www.google.com/s2/favicons?domain=usepylon.com&sz=128)

Pylon

B2B Customer Support · San Francisco

⭐ 3

🚀 Ship Fast ⚙️ Engineering-Driven 🤝 Flat Hierarchy 🎩 Many Hats 🎯 Product Impact

"YC + a16z backed with strong product-market fit. 4.3 Glassdoor with 100% recommend — small team with outsized ownership where every engineer directly shapes the product."

Size~70 employees

Recommend100%

Work-Life Balance4.0/5

FundingYC + a16z backed

**👍 Pros**

-   YC + a16z backed with strong product-market fit in B2B support
-   Small team with outsized ownership — every engineer shapes the product

**👎 Cons**

-   Very early-stage with minimal processes
-   Fast pace may not suit everyone

Based on Glassdoor reviews

📍 San Francisco, CA

 [Full Profile →](https://jobsbyculture.com/companies/pylon) [See Jobs →](https://jobsbyculture.com/jobs?company=pylon)

![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

incident.io

Incident Management · London

⭐ 4.5

🪟 Transparent 🛡️ Safe to Fail 🚀 Ship Fast 📚 Learning ⚙️ Engineering-Driven

"Strong culture with a dedicated culture manager — values are practiced, not just stated. Excellent compensation and benefits with strong career growth."

Size~140 employees

Recommend88%

Work-Life Balance4.1/5

CEOStephen Whitworth

**👍 Pros**

-   Strong culture with a dedicated culture manager — values are practiced
-   Excellent compensation and benefits with strong career growth

**👎 Cons**

-   Rapid scaling can create instability — organizational growing pains
-   London-centric with limited remote options for some roles

Based on Glassdoor reviews

📍 London, UK

 [Full Profile →](https://jobsbyculture.com/companies/incidentio) [See Jobs →](https://jobsbyculture.com/jobs?company=incidentio)

![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Grafana Labs

Open-Source Observability · Fully Remote

⭐ 4.1

🌍 Remote-First 📖 Open Source ⚙️ Engineering-Driven 🪟 Transparent ⚖️ Work-Life Balance

"100% remote-first across 40+ countries with generous PTO and mandatory shutdown days. Engineers rate it 4.9/5 — absurdly talented colleagues."

Size~1,700 employees

Recommend78%

Work-Life Balance4.3/5

CEORaj Dutt

**👍 Pros**

-   100% remote-first across 40+ countries with generous PTO (~30 days)
-   Engineers rate it 4.9/5 — strong open-source culture

**👎 Cons**

-   Career progression above staff level can be challenging
-   Product management sometimes marginalized by engineering

Based on Glassdoor reviews (205 reviews)

🌍 Fully Remote (40+ countries)

 [Full Profile →](https://jobsbyculture.com/companies/grafanalabs) [See Jobs →](https://jobsbyculture.com/jobs?company=grafanalabs)

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Financial Infrastructure API · San Francisco

⭐ 4.6

⚙️ Engineering-Driven 🪟 Transparent 📚 Learning 🎯 Product Impact 🛡️ Safe to Fail

"91% of employees recommend — highly accessible and transparent senior leadership. Build APIs used by Venmo, Robinhood, and thousands of fintechs."

Size~800 employees

Recommend91%

Work-Life Balance4.2/5

CEOZach Perret

**👍 Pros**

-   91% of employees recommend — one of the highest-rated fintechs
-   Highly accessible and transparent senior leadership

**👎 Cons**

-   Organizational changes can create uncertainty as company scales
-   Career opportunities rated 3.9/5 — growth paths vary by department

Based on Glassdoor reviews (189 reviews)

🇺🇸 San Francisco, CA

 [Full Profile →](https://jobsbyculture.com/companies/plaid) [See Jobs →](https://jobsbyculture.com/jobs?company=plaid)

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Startup Banking · San Francisco

⭐ 4.3

🎯 Product Impact ⚙️ Engineering-Driven 🚀 Ship Fast 📚 Learning 💰 Strong Equity

"Great Place to Work certified — strong talent density with smart, motivated teammates. Genuine autonomy and ownership with meaningful scope."

Size~1,500 employees

Recommend79%

Work-Life Balance3.8/5

CEOImmad Akhund

**👍 Pros**

-   Great Place to Work certified — smart, motivated teammates
-   Genuine autonomy and ownership — product-first mindset

**👎 Cons**

-   Still figuring out how to scale — expect ambiguity and shifting priorities
-   WLB rated 3.8/5 — periods of higher intensity during growth

Based on Glassdoor reviews (112 reviews)

🇺🇸 San Francisco · Remote-Friendly

 [Full Profile →](https://jobsbyculture.com/companies/mercury) [See Jobs →](https://jobsbyculture.com/jobs?company=mercury)

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Low-Code Platform · San Francisco

⭐ 3.8

🎯 Product Impact ⚙️ Engineering-Driven 📚 Learning 🌈 Diverse 🤝 Flat Hierarchy

"91% of engineers recommend — strong technical culture with high engineering standards. Build a platform used by 450,000+ organizations including Netflix and NASA."

Size~900 employees

Recommend74%

Work-Life Balance4.0/5

CEOHowie Liu

**👍 Pros**

-   91% of engineers recommend — strong technical culture
-   Good WLB (4.0/5) with remote-friendly options and great benefits

**👎 Cons**

-   Post-layoff culture impacted — some report declining morale since 2023
-   Communication from leadership could improve — varies by team

Based on Glassdoor reviews (236 reviews)

🇺🇸 San Francisco, CA · Remote-Friendly

 [Full Profile →](https://jobsbyculture.com/companies/airtable) [See Jobs →](https://jobsbyculture.com/jobs?company=airtable)

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

AI-Powered Spend Management · Remote-First

⭐ 4

🚀 Ship Fast ⚙️ Engineering-Driven 🎯 Product Impact 📚 Learning 🪟 Transparent

"Innovation-driven culture with incredibly smart, passionate, and supportive colleagues. Remote-first with strong benefits and flexible scheduling."

Size~1,600 employees

Recommend77%

Work-Life Balance3.9/5

CEOPedro Franceschi

**👍 Pros**

-   Innovation-driven culture with smart, passionate colleagues
-   hybrid with quarterly remote weeks with strong benefits — time off actively encouraged

**👎 Cons**

-   Culture of overworking — many departments understaffed
-   Multiple layoff rounds have created uncertainty and morale challenges

Based on Glassdoor reviews (625 reviews)

🇺🇸 San Francisco · Remote-First

 [Full Profile →](https://jobsbyculture.com/companies/brex) [See Jobs →](https://jobsbyculture.com/jobs?company=brex)

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Cloud Monitoring & Observability · New York

⭐ 4.2

⚙️ Engineering-Driven 🚀 Ship Fast 📚 Learning 🎯 Product Impact 💰 Strong Equity

"Strong engineering culture with smart coworkers and interesting technical challenges at scale. Excellent compensation and equity."

Size~6,000 employees

Recommend80%

Work-Life Balance3.8/5

CEOOlivier Pomel

**👍 Pros**

-   Excellent compensation and equity — stock has been a wealth builder
-   Smart coworkers and interesting technical challenges at scale

**👎 Cons**

-   Fast pace can lead to long hours — WLB varies by team
-   Rapid growth has led to organizational growing pains

Based on Glassdoor reviews (1,500+ reviews)

🇺🇸 New York · Global

 [Full Profile →](https://jobsbyculture.com/companies/datadog) [See Jobs →](https://jobsbyculture.com/jobs?company=datadog)

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Internet Infrastructure & Edge AI · San Francisco

⭐ 3.9

⚙️ Engineering-Driven 🚀 Ship Fast 🎯 Product Impact 🪟 Transparent

"Mission-driven company building critical internet infrastructure. Smart colleagues who value innovation and shipping quickly."

Size~4,000 employees

Recommend72%

Work-Life Balance3.7/5

CEOMatthew Prince

**👍 Pros**

-   Mission-driven — building critical internet infrastructure
-   Smart colleagues who value innovation and technical excellence

**👎 Cons**

-   Compensation can lag behind FAANG, especially base salary
-   Some teams experience high pressure with uneven management

Based on Glassdoor reviews (1,200+ reviews)

🇺🇸 San Francisco · Global

 [Full Profile →](https://jobsbyculture.com/companies/cloudflare) [See Jobs →](https://jobsbyculture.com/jobs?company=cloudflare)

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

AI Cloud & Clean Energy · Denver

⭐ 3.4

🛡️ Ethical AI 🌍 Social Impact ⚙️ Engineering-Driven 🚀 Ship Fast 💰 Strong Equity

"Unique mission combining AI compute with clean energy. Genuine environmental impact with startup energy and strong equity."

Size~1,200 employees

Recommend85%

Work-Life Balance3.5/5

CEOChase Lochmiller

**👍 Pros**

-   AI compute with clean energy — genuine environmental impact
-   Strong compensation and equity with rapidly growing resources

**👎 Cons**

-   Startup pace means long hours and ambiguity
-   Rapid scaling creates process gaps and shifting priorities

Based on Glassdoor reviews (100-200 reviews)

🇺🇸 Denver · Multi-State

 [Full Profile →](https://jobsbyculture.com/companies/crusoe) [See Jobs →](https://jobsbyculture.com/jobs?company=crusoe)

![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Baseten

ML Inference Infrastructure · San Francisco

⭐ 4.3

⚙️ Engineering-Driven 🚀 Ship Fast 🎩 Many Hats 🤝 Flat Hierarchy 🎯 Product Impact

"Cutting-edge ML inference infrastructure. Small team with high ownership and direct impact on product direction."

Size~100 employees

Work-Life Balance3.5/5

CEOTuhin Srivastava

**👍 Pros**

-   Cutting-edge ML inference — deploying models at scale
-   Small team means high ownership and direct product impact

**👎 Cons**

-   Limited resources — can feel stretched thin
-   Priorities shift frequently as the market evolves

Based on 1 Glassdoor review (limited data — treat with caution)

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/baseten) [See Jobs →](https://jobsbyculture.com/jobs?company=baseten)

![Fireworks AI](https://www.google.com/s2/favicons?domain=fireworks.ai&sz=128)

Fireworks AI

LLM Inference Platform · Redwood City

⭐ 4.2

⚙️ Engineering-Driven 🚀 Ship Fast 📚 Learning 🎩 Many Hats

"World-class team of ex-Meta AI infrastructure engineers. Working on LLM inference optimization — one of the hottest areas in AI."

Size~100 employees

Work-Life Balance3.3/5

CEOLin Qiao (ex-Meta)

**👍 Pros**

-   World-class ex-Meta AI infrastructure engineers
-   Hottest area in AI — LLM inference optimization

**👎 Cons**

-   Early-stage intensity with long hours expected
-   Small team means less structure and career laddering

Based on 1 Glassdoor review (limited data — treat with caution)

🇺🇸 Redwood City

 [Full Profile →](https://jobsbyculture.com/companies/fireworksai) [See Jobs →](https://jobsbyculture.com/jobs?company=fireworksai)

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

AI Video Generation · London

⭐ 4.4

🚀 Ship Fast 📚 Learning 🎯 Product Impact ⚙️ Engineering-Driven

"Low-ego supportive culture with genuine trust and ownership. Fast-paced growth with real opportunity to develop and lead."

Size~660 employees

Work-Life Balance4.2/5

CEOVictor Riparbelli

**👍 Pros**

-   Low-ego supportive culture with genuine trust
-   Fast-paced growth with real leadership opportunities

**👎 Cons**

-   R&D and Product teams feel intense pressure
-   Promotions rare internally — favor external hires

Based on Glassdoor reviews

🇬🇧 London

 [Full Profile →](https://jobsbyculture.com/companies/synthesia) [See Jobs →](https://jobsbyculture.com/jobs?company=synthesia)

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

IoT for Physical Operations · San Francisco

⭐ 4

🎯 Product Impact 📚 Learning 🚀 Ship Fast 💰 Equity

"Real-world product impact building IoT for physical operations. Clear career trajectory with frequent promotions in sales."

Size~5,200 employees

Work-Life Balance3.9/5

CEOSanjit Biswas

**👍 Pros**

-   Clear career trajectory with frequent promotions
-   Real-world product impact — IoT for physical ops

**👎 Cons**

-   Engineers rate WLB at only 2.9/5
-   Remote work used to justify overwork

Based on Glassdoor reviews

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/samsara) [See Jobs →](https://jobsbyculture.com/jobs?company=samsara)

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

AI Enterprise Search · Palo Alto

⭐ 4.2

⚙️ Engineering-Driven 📚 Learning 🎯 Product Impact 🚀 Ship Fast 🔍 Transparent

"World-class AI talent — learn from ex-Google leadership on cutting-edge enterprise search. Transparent collaborative culture."

Size~1,475 employees

Work-Life Balance3.8/5

CEOArvind Jain

**👍 Pros**

-   World-class AI talent and ex-Google leadership
-   Transparent collaborative culture

**👎 Cons**

-   Below-market compensation — comp rated only 3.6/5
-   Sales org has high churn problems

Based on Glassdoor reviews

🇺🇸 Palo Alto

 [Full Profile →](https://jobsbyculture.com/companies/glean) [See Jobs →](https://jobsbyculture.com/jobs?company=glean)

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Security Compliance Automation · San Francisco

⭐ 3.8

🎯 Product Impact 🚀 Ship Fast 💰 Equity

"Strong compensation rated 4.3/5. Market-defining product in security compliance automation."

Size~1,400 employees

Work-Life Balance3.3/5

CEOChristina Cacioppo

**👍 Pros**

-   Strong compensation rated 4.3/5
-   Market-defining product in security compliance

**👎 Cons**

-   Brutal meeting culture pushing work into nights
-   Virtually no AEs hit quota — unrealistic targets

Based on Glassdoor reviews

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/vanta) [See Jobs →](https://jobsbyculture.com/jobs?company=vanta)

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Defense AI · Munich / Paris / London

⭐ 4

⚙️ Engineering-Driven 🚀 Ship Fast 🎯 Product Impact 💰 Equity 📚 Learning

"Highest talent density of any tech company I've worked at — world-class AI and engineering leadership."

Size~760 employees

Work-Life Balance3.6/5

Valuation$18B

**👍 Pros**

-   World-class AI talent density
-   Important mission with competitive salary

**👎 Cons**

-   Excessive work hour expectations
-   Some inexperienced management

Based on Glassdoor reviews

🇩🇪 Munich / 🇫🇷 Paris

 [Full Profile →](https://jobsbyculture.com/companies/helsing) [See Jobs →](https://jobsbyculture.com/jobs?company=helsing)

![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Wayve

Autonomous Driving AI · London

⭐ 4.4

⚙️ Engineering-Driven 📚 Learning 🎯 Product Impact 🌈 Diverse 🚀 Ship Fast

"Great culture — smart, friendly people with a supportive and inclusive familial bond. Immense creative freedom."

Size~850 employees

Work-Life Balance3.9/5

Valuation$8.6B

**👍 Pros**

-   Inclusive culture with humble founders
-   Creative freedom and autonomy

**👎 Cons**

-   Unclear career progression
-   Burnout risk from ambitious pace

Based on Glassdoor reviews

🇬🇧 London

 [Full Profile →](https://jobsbyculture.com/companies/wayve) [See Jobs →](https://jobsbyculture.com/jobs?company=wayve)

![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

DeepL

AI Translation · Cologne

⭐ 2.9

⚖️ Work-Life Balance 🕐 Flex Hours 🌈 Diverse 🎯 Product Impact

"Great product with big-name customers. Very international team of 90+ nationalities with good work-life balance."

Size~1,570 employees

Work-Life Balance4.0/5

Users100M+

**👍 Pros**

-   Great product, 100M+ users
-   90+ nationalities, good WLB

**👎 Cons**

-   Glassdoor rating dropped to ~2.9 with 44% recommend — declining sentiment
-   Multiple reviews cite intransparent leadership and hidden salary bands
-   Reports of repeated downsizing despite public financial growth messaging
-   Limited growth paths cited in recent reviews

Based on Glassdoor reviews

🇩🇪 Cologne

 [Full Profile →](https://jobsbyculture.com/companies/deepl) [See Jobs →](https://jobsbyculture.com/jobs?company=deepl)

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Process Mining AI · Munich

⭐ 3.8

📚 Learning 💰 Equity 🚀 Ship Fast 🎯 Product Impact

"Strong learning and development opportunities with excellent internal mobility options."

Size~3,800 employees

Work-Life Balance3.8/5

Valuation$13B

**👍 Pros**

-   Strong L&D and internal mobility
-   Great team culture with mentorship

**👎 Cons**

-   Below-market compensation
-   Frequent reorgs with poor comms

Based on Glassdoor reviews

🇩🇪 Munich

 [Full Profile →](https://jobsbyculture.com/companies/celonis) [See Jobs →](https://jobsbyculture.com/jobs?company=celonis)

![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Contentful

Headless CMS · Berlin (Remote)

⭐ 3.4

⚙️ Engineering-Driven 📚 Learning 🎯 Product Impact

"Flexible remote/hybrid setup with strong distributed team culture. Talented and humble engineering team."

Size~1,000 employees

Work-Life Balance3.8/5

HQBerlin (6 continents)

**👍 Pros**

-   Flexible remote/hybrid setup
-   Humble engineering team

**👎 Cons**

-   Stagnating product development
-   Difficult internal promotions

Based on Glassdoor reviews

🇩🇪 Berlin / 🌍 Remote

 [Full Profile →](https://jobsbyculture.com/companies/contentful) [See Jobs →](https://jobsbyculture.com/jobs?company=contentful)

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Payments Tech · Amsterdam

⭐ 3.8

⚙️ Engineering-Driven 🚀 Ship Fast ⚖️ Work-Life Balance 🎯 Product Impact 📚 Learning

"Smart, humble colleagues with high standards. Good work-life balance with trust-based culture."

Size~4,770 employees

Work-Life Balance4.1/5

StockAMS: ADYEN

**👍 Pros**

-   Smart colleagues, market-leading product
-   Good WLB, trust-based culture

**👎 Cons**

-   Below-market comp (~20% less)
-   Management issues at scale

Based on Glassdoor reviews

🇳🇱 Amsterdam

 [Full Profile →](https://jobsbyculture.com/companies/adyen) [See Jobs →](https://jobsbyculture.com/jobs?company=adyen)

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Healthtech · Paris

⭐ 3.7

💜 Mission-Driven 📚 Learning 🎯 Product Impact 🚀 Ship Fast

"Mission-driven colleagues who genuinely care about improving healthcare access across Europe."

Size~3,500 employees

Work-Life Balance3.7/5

Revenue~$402M

**👍 Pros**

-   Genuine healthcare mission
-   Strong growth opportunities

**👎 Cons**

-   Heavy-handed management
-   French-centric culture barrier

Based on Glassdoor reviews

🇫🇷 Paris

 [Full Profile →](https://jobsbyculture.com/companies/doctolib) [See Jobs →](https://jobsbyculture.com/jobs?company=doctolib)

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Open-Source Workflow Automation · Berlin (Remote)

⭐ 4.5

🌐 Remote 🔓 Open Source 🤝 Flat 🪟 Transparent 📡 Async

"Exceptional remote-first culture with high trust, autonomy, and smart collaborative teammates."

Size~300 employees

Work-Life Balance4.0/5

ARR$40M

**👍 Pros**

-   Exceptional remote-first culture
-   Fast-growing OSS product, lots of ownership

**👎 Cons**

-   Shifting priorities in hypergrowth
-   Startup intensity can be stressful

Based on Glassdoor reviews

🇩🇪 Berlin / 🌍 Remote

 [Full Profile →](https://jobsbyculture.com/companies/n8n) [See Jobs →](https://jobsbyculture.com/jobs?company=n8n)

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

AI app builder & vibe coding · Stockholm

⭐ 3.5

⚙️ Engineering-Driven 🚀 Ship Fast 🎯 Product Impact 📚 Learning Culture

"We move fast and ship — results matter more than talk."

Size~150-300 employees

Work-Life Balance3.0/5

**👍 Pros**

-   Explosive growth — $400M ARR with massive user traction
-   High autonomy and ownership over impactful work

**👎 Cons**

-   Intense pace with long hours reported
-   Fast growth means processes still catching up

Based on Glassdoor reviews and careers page (limited review volume — estimate noted)

🇸🇪 Stockholm

 [Full Profile →](https://jobsbyculture.com/companies/lovable) [See Jobs →](https://jobsbyculture.com/jobs?company=lovable)

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

AI coding agents (Devin & Windsurf) · San Francisco

Limited data

⚙️ Engineering-Driven 🚀 Ship Fast 💰 Strong Equity 🎯 Product Impact

"A small and talent-dense team building the future of software engineering."

Size~300 employees

Work-Life Balance3.2/5

**👍 Pros**

-   World-class technical team (10 IOI gold medalists)
-   Massive valuation ($10B+) with strong equity upside

**👎 Cons**

-   High-intensity, fast-paced environment
-   In-person expectations in San Francisco

Limited data — Glassdoor reviews not yet available for this company.

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/cognition) [See Jobs →](https://jobsbyculture.com/jobs?company=cognition)

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

AI for legal & professional services · San Francisco

⭐ 3.9

⚙️ Engineering-Driven 🚀 Ship Fast 💰 Strong Equity 📚 Learning Culture 🎯 Product Impact

"Exceptionally smart, driven, and supportive people — everyone genuinely wants to see each other succeed."

Size~350 employees

Work-Life Balance3.4/5

**👍 Pros**

-   Top-tier compensation ($330K+ median SWE comp)
-   Strong product-market fit with 1000+ customers

**👎 Cons**

-   Intense work culture with long hours
-   In-office 3+ days/week required

Based on 33 Glassdoor reviews and verified employee-reported compensation data

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/harvey) [See Jobs →](https://jobsbyculture.com/jobs?company=harvey)

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Enterprise AI agents · San Francisco

⭐ 4

⚙️ Engineering-Driven 🚀 Ship Fast 💰 Strong Equity 📚 Learning Culture

"Working side by side helps us move faster and solve harder problems."

Size~500 employees

Work-Life Balance3.5/5

**👍 Pros**

-   Founded by Bret Taylor (ex-Salesforce CEO) — elite leadership
-   $100M ARR in under 2 years with $10B valuation

**👎 Cons**

-   Primarily in-person culture — remote not the default
-   Rapidly scaling org means roles evolving fast

Based on 13 Glassdoor reviews — limited data, rating should be verified

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/sierra) [See Jobs →](https://jobsbyculture.com/jobs?company=sierra)

![Hebbia](https://www.google.com/s2/favicons?domain=hebbia.com&sz=128)

Hebbia

AI document intelligence for finance · New York

⭐ 4.4

⚙️ Engineering-Driven 🚀 Ship Fast 📚 Learning Culture 🎭 Many Hats 🎯 Product Impact

"Culture built on compassion and grit — the kindest, most sharp group of people."

Size~140 employees

Work-Life Balance3.2/5

**👍 Pros**

-   Exceptional culture scores (4.8/5 culture & values on Glassdoor)
-   Cutting-edge AI work powering BlackRock, KKR, Carlyle

**👎 Cons**

-   Long hours expected (70+ hrs/week mentioned)
-   5 days/week in-office with no flexibility

Based on 16 Glassdoor reviews

🇺🇸 New York

 [Full Profile →](https://jobsbyculture.com/companies/hebbia) [See Jobs →](https://jobsbyculture.com/jobs?company=hebbia)

![Cerebras Systems](https://www.google.com/s2/favicons?domain=cerebras.ai&sz=128)

Cerebras Systems

AI chip design & inference · Sunnyvale

⭐ 4

⚙️ Engineering-Driven 📚 Learning Culture 🎯 Product Impact

"Amazing talent with a great spirit of mentoring and collaboration — freedom to do your best work."

Size~700 employees

Work-Life Balance3.8/5

**👍 Pros**

-   Strong mentorship culture with collaborative engineering teams
-   Meaningful hardware + AI work — real NVIDIA challenger

**👎 Cons**

-   Top-down decisions with aggressive timelines
-   Recent layoff concerns and workload pressure

Based on 56 Glassdoor reviews

🇺🇸 Sunnyvale

 [Full Profile →](https://jobsbyculture.com/companies/cerebras) [See Jobs →](https://jobsbyculture.com/jobs?company=cerebras)

![Poolside](https://www.google.com/s2/favicons?domain=poolside.ai&sz=128)

Poolside

AI code generation models · San Francisco / Paris

⭐ 3.8

⚙️ Engineering-Driven 🌍 Remote-Friendly 📐 Flat Structure 🎭 Many Hats 📚 Learning Culture

"Be brilliant, be kind — where ideas become experiments and experiments become breakthroughs."

Size~150 employees

Work-Life Balance3.5/5

**👍 Pros**

-   Remote-first across Europe and North America
-   Cutting-edge foundation models for code generation

**👎 Cons**

-   Very early-stage — processes still forming
-   Compensation may trail larger AI labs

Based on 4 Glassdoor reviews — very limited data

🇺🇸 San Francisco / 🇫🇷 Paris

 [Full Profile →](https://jobsbyculture.com/companies/poolside) [See Jobs →](https://jobsbyculture.com/jobs?company=poolside)

![Anyscale](https://www.google.com/s2/favicons?domain=anyscale.com&sz=128)

Anyscale

The company behind Ray · San Francisco

⭐ 4.2

⚙️ Engineering-Driven 🔓 Open Source 📐 Flat Structure 🚀 Ship Fast

"World-class engineering team working on hard distributed systems problems with real impact on AI infrastructure."

SizeMedium (~250)

Work-Life Balance3.8/5

**👍 Pros**

-   Work on foundational AI infrastructure used by top labs
-   Strong open-source culture around Ray ecosystem

**👎 Cons**

-   Fast pace can lead to shifting priorities
-   Startup growing pains as company scales

Based on Glassdoor reviews

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/anyscale) [See Jobs →](https://jobsbyculture.com/jobs?company=anyscale)

![Descript](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

Descript

AI-powered video & audio editing · San Francisco

⭐ 3.9

⚙️ Engineering-Driven 🚀 Ship Fast 📐 Flat Structure 🎭 Many Hats 🌍 Remote-Friendly

"You get to work on genuinely hard AI problems with a team that cares deeply about craft and user experience."

SizeMedium (~250)

Work-Life Balance3.8/5

**👍 Pros**

-   Cutting-edge AI/ML work on multimodal media
-   Strong product-minded engineering culture

**👎 Cons**

-   Fast pace can lead to shifting priorities
-   Startup growing pains as team scales

Based on Glassdoor reviews

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/descript) [See Jobs →](https://jobsbyculture.com/jobs?company=descript)

![Labelbox](https://www.google.com/s2/favicons?domain=labelbox.com&sz=128)

Labelbox

AI data labeling & training platform · San Francisco

⭐ 3.2

⚙️ Engineering-Driven 🚀 Ship Fast 💰 Strong Equity 🌈 Diverse

"You're building the picks and shovels of the AI gold rush — every major foundation model team is a customer."

SizeMedium (~350)

Work-Life Balance3.6/5

**👍 Pros**

-   Critical infrastructure for AI model training
-   Series D funded with strong enterprise traction

**👎 Cons**

-   Data labeling space is competitive
-   Enterprise sales cycles can slow product iteration

Based on Glassdoor reviews

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/labelbox) [See Jobs →](https://jobsbyculture.com/jobs?company=labelbox)

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

AI customer support agents · San Francisco

⭐ 3.9

⚙️ Engineering-Driven 🚀 Ship Fast 💰 Strong Equity 🎯 Product Impact

"Strong engineering culture and rapid shipping — you ship AI agents to Fortune 500s and see real impact week after week."

Size~210 employees

Work-Life Balance3.7/5

Recommend75%

**👍 Pros**

-   Series D ($250M at $4.5B valuation, Jan 2026)
-   Customers include major enterprises — real usage, real impact
-   Strong engineering culture with technical founders
-   Top-tier compensation and equity upside

**👎 Cons**

-   Workload can be intense with high expectations
-   Fast-paced environment is not for everyone
-   Comp & benefits rated 3.2/5 (equity helps offset)
-   SF office-centric — limited remote

Based on Glassdoor reviews (257 reviews, 3.9 stars)

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/decagon) [See Jobs →](https://jobsbyculture.com/jobs?company=decagon)

![Granola](https://www.google.com/s2/favicons?domain=granola.ai&sz=128)

Granola

AI meeting notes · London

⭐ 5

⚙️ Engineering-Driven 🚀 Ship Fast 💰 Strong Equity 🎯 Product Impact 🧩 Many Hats

"Small team, total ownership of your area — users genuinely love the product, and everyone cares about product quality."

Size~50 employees

Work-Life Balance4.5/5

Valuation$1.5B (Mar 2026)

**👍 Pros**

-   Series C at $1.5B valuation led by Index Ventures and Kleiner Perkins
-   Beloved product — users genuinely advocate for Granola
-   Tiny team means total ownership of your area
-   Beautiful London office with meals provided

**👎 Cons**

-   5-day in-office default (though flexible on life circumstances)
-   London-based — limited remote-first roles
-   Early-stage compensation can lag established AI labs (equity heavy)
-   Small team means less structured career ladders

Based on Glassdoor reviews (3 reviews, 5.0 stars) + press coverage

🇬🇧 London

 [Full Profile →](https://jobsbyculture.com/companies/granola) [See Jobs →](https://jobsbyculture.com/jobs?company=granola)

![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

Chainguard

Supply Chain Security · Remote-First

⭐ 4.5

🌐 Remote 🔓 Open Source ⚙️ Engineering-Driven 💰 Strong Equity ⚖️ Work-Life Balance

"Fully remote with outstanding benefits. Founders are practitioners who understand what engineers need. Great balance of autonomy and collaboration."

Size~350 employees

Recommend89%

Work-Life Balance4.2/5

Salary Range$150k – $350k

**👍 Pros**

-   Fully remote with excellent benefits — 100% health/dental/vision coverage
-   Founders are security practitioners, not just business people
-   Strong open-source culture — core product secures the OSS supply chain
-   Rapid growth ($3.5B valuation) with generous equity packages

**👎 Cons**

-   Hypergrowth means some processes are still maturing
-   Fully remote can feel isolating — limited in-person interaction
-   Sales org reviews are more mixed than engineering
-   Fast pace can lead to feeling overwhelmed at times

Based on Glassdoor reviews (49 reviews, 4.5 stars)

🌐 Remote (Global)

 [Full Profile →](https://jobsbyculture.com/companies/chainguard) [See Jobs →](https://jobsbyculture.com/jobs?company=chainguard)

![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

GitLab

DevSecOps Platform · All-Remote

⭐ 3.9

🌐 Remote 📡 Async 🪟 Transparent 🔓 Open Source

"The world's largest all-remote company. Async-first, radically transparent, with a public handbook and real flexibility. Best-in-class remote culture."

Size~2,500 employees

Recommend70%

Work-Life Balance3.9/5

Salary Range$120k – $350k

**👍 Pros**

-   Best-in-class all-remote culture — async-first with real flexibility
-   Radically transparent — public handbook, open compensation, open processes
-   Core product is open-source with a strong community
-   Great work-life balance for a public tech company

**👎 Cons**

-   Revenue org can feel chaotic — quota changes and restructuring
-   Some C-suite leadership turnover and instability
-   Career growth opportunities rated lower (3.4/5)
-   Company culture ratings have declined ~5% in the past year

Based on Glassdoor reviews (700+ reviews, 3.9 stars)

🌐 All-Remote (65+ countries)

 [Full Profile →](https://jobsbyculture.com/companies/gitlab) [See Jobs →](https://jobsbyculture.com/jobs?company=gitlab)

![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Mercor

AI Hiring Platform · San Francisco

⭐ 3.9

🚀 Ship Fast ⚙️ Engineering-Driven 🏗️ Flat Hierarchy 💰 Strong Equity

"AI-native hiring platform valued at $10B, built by a tiny team shipping at breakneck pace. High intensity, high impact — not for the faint-hearted."

Size~200 employees

Recommend74%

Work-Life Balance3.9/5

Salary Range$150k – $350k

**👍 Pros**

-   Building the AI hiring infrastructure — massive TAM and strong revenue growth
-   Extremely well-funded ($10B valuation) with competitive compensation
-   Tiny core team means outsized individual impact
-   Technical MIT founders still deeply involved in product

**👎 Cons**

-   Intense pace — 9am–9pm, 6 days a week is the norm
-   Work-life balance is sacrificed for speed of execution
-   Rapid growth creating organizational growing pains
-   March 2026 data breach raised security concerns

Based on Glassdoor reviews (87 reviews, 3.9 stars)

🇺🇸 San Francisco, CA

 [Full Profile →](https://jobsbyculture.com/companies/mercor) [See Jobs →](https://jobsbyculture.com/jobs?company=mercor)

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Work Management Platform · San Francisco

⭐ 4.1

⚖️ Work-Life Balance 🪟 Transparent 📚 Learning Culture 🎯 Product Impact 🌍 Diverse & Inclusive

"Work management platform with one of the strongest culture ratings in tech. High transparency, genuine work-life balance, and a learning-first engineering team."

Size~1,700 employees

Recommend78%

Work-Life Balance4.2/5

Salary Range$130k – $300k

**👍 Pros**

-   Exceptional work-life balance for a public tech company (4.2/5)
-   Highly transparent culture — clarity, accountability, and open communication
-   Strong D&I commitment with 4.4/5 diversity rating
-   Engineering culture emphasizes sustainable pace and continuous learning

**👎 Cons**

-   Some concerns about senior management accountability
-   Frequent organizational changes and restructuring
-   Mandatory in-office days (hybrid 3 days/week) may not suit everyone
-   Company stock performance creates some uncertainty

Based on Glassdoor reviews (929 reviews, 4.1 stars)

🇺🇸 San Francisco, CA

 [Full Profile →](https://jobsbyculture.com/companies/asana) [See Jobs →](https://jobsbyculture.com/jobs?company=asana)

![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Webflow

Visual Web Development · San Francisco

⭐ 3.7

⚙️ Engineering-Driven 🎯 Product Impact 🌐 Remote ⚖️ Work-Life Balance 📚 Learning & Growth

"Builders building for builders. Remote-first with genuine work-life balance and a product engineers actually love using."

Size~800 employees

Recommend65%

Work-Life Balance4.0/5

Salary Range$140k – $280k

**👍 Pros**

-   Remote-first culture with healthy work-life boundaries
-   Product that engineers genuinely love building
-   Strong enablement and growth opportunities
-   Collaborative, smart colleagues across teams

**👎 Cons**

-   Recent leadership changes have created uncertainty
-   Communication and feedback channels have narrowed
-   Onboarding could be stronger for new hires
-   Job security concerns amid industry shifts

Based on Glassdoor reviews (139 reviews, 3.7 stars)

🇺🇸 San Francisco · 🌍 Remote

 [Full Profile →](https://jobsbyculture.com/companies/webflow) [See Jobs →](https://jobsbyculture.com/jobs?company=webflow)

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Developer Data Platform · New York

⭐ 4

🔓 Open Source ⚙️ Engineering-Driven 📚 Learning & Growth 💰 Strong Equity 🎯 Product Impact

"World-class enablement, strong engineering culture, and the chance to work on one of the most widely-used databases on the planet."

Size~5,500 employees

Recommend79%

Work-Life Balance3.8/5

Salary Range$130k – $300k

**👍 Pros**

-   Best-in-class enablement and training programs
-   Strong engineering culture with real technical depth
-   Competitive compensation with solid equity packages
-   Global presence with flexible hybrid arrangements

**👎 Cons**

-   No 401k match — surprising for a company this size
-   Culture has become more political at larger scale
-   Team-switching happens when things don't work out
-   Work-life balance varies significantly by team

Based on Glassdoor reviews (2,509 reviews, 4.0 stars)

🇺🇸 New York · 🇮🇪 Dublin · 🌍 Global

 [Full Profile →](https://jobsbyculture.com/companies/mongodb) [See Jobs →](https://jobsbyculture.com/jobs?company=mongodb)

![Writer](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

Writer

Enterprise AI Platform · San Francisco

⭐ 3.5

⚙️ Engineering-Driven 🚀 Ship Fast 🔓 Open Source

"Building the full-stack enterprise AI platform with proprietary LLMs. High-intensity, high-impact — for people who want to define how enterprises use AI."

Size~400 employees

Recommend62%

Work-Life Balance2.7/5

Salary Range$150k – $350k

**👍 Pros**

-   Building proprietary LLMs (Palmyra) — real AI engineering, not just API wrappers
-   Visionary leadership with strong enterprise traction
-   Open-source culture — Writer Framework and Palmyra models are public
-   Fast-growing with $1.9B valuation and major enterprise clients

**👎 Cons**

-   Work-life balance is a real concern — high expectations with little room for error
-   Middle management layer has grown, creating friction
-   Culture can feel intense — not for everyone
-   Some reviews mention lack of flexibility around personal commitments

Based on Glassdoor reviews (29 reviews, 3.5 stars)

🇺🇸 San Francisco · New York

 [Full Profile →](https://jobsbyculture.com/companies/writer) [See Jobs →](https://jobsbyculture.com/jobs?company=writer)

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Communications Platform · Remote-First

⭐ 3.9

🌐 Remote ⚖️ Work-Life Balance ⚙️ Engineering-Driven 🔓 Open Source 💰 Strong Equity 📚 Learning & Growth

"Developer-first cloud communications platform with a genuine remote culture. Great work-life balance and compensation, but navigating reorgs requires resilience."

Size~5,500 employees

Recommend73%

Work-Life Balance4.1/5

Salary Range$150k – $400k

**👍 Pros**

-   Genuine remote-first culture — 'Open Work' policy with real flexibility
-   Excellent work-life balance rated 4.1/5 on Glassdoor
-   Strong compensation and benefits rated 4.2/5
-   Engineering is 45% of the company — truly developer-first

**👎 Cons**

-   Frequent reorgs and management changes create instability
-   Company has shifted from builder culture to more profit-driven focus
-   Some teams report management quality issues
-   Growth has slowed — not the hyper-growth startup feel anymore

Based on Glassdoor reviews (2,039 reviews, 3.9 stars)

🌍 Remote-First · 🇺🇸 SF · Denver · NYC

 [Full Profile →](https://jobsbyculture.com/companies/twilio) [See Jobs →](https://jobsbyculture.com/jobs?company=twilio)

![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Abridge

Healthcare AI · Pittsburgh / SF / NYC

⭐ 4.7

💜 Mission-Driven ⚙️ Engineering-Driven 📚 Learning & Growth 🎯 Product Impact 💰 Strong Equity

"Mission-driven healthcare AI with exceptional management, blameless culture, and real clinical impact. 93% of employees recommend it."

Size~500 employees

Recommend93%

Work-Life Balance4.5/5

Salary Range$150k – $350k

**👍 Pros**

-   Meaningful mission — transforming healthcare documentation with AI
-   Exceptional middle management and supportive leadership
-   Top-tier compensation and benefits (4.6/5 on Glassdoor)
-   Blameless, empathy-first culture rooted in patient impact

**👎 Cons**

-   Fast pace can lead to intense weeks during product pushes
-   Third-party vendor dependencies create occasional friction
-   Hybrid model — co-location expected at SF or NYC hubs
-   Rapid growth means some processes are still being built

Based on Glassdoor reviews (4.7/5, 60 reviews)

🇺🇸 Pittsburgh · SF · NYC

 [Full Profile →](https://jobsbyculture.com/companies/abridge) [See Jobs →](https://jobsbyculture.com/jobs?company=abridge)

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Corporate Travel & Expense · Palo Alto

⭐ 4

🚀 Ship Fast 📚 Learning & Growth 🎯 Product Impact 💰 Strong Equity ⚙️ Engineering-Driven

"Fast-paced travel tech with real career growth. Managers invest in your development and the product has genuine market impact."

Size~3,500 employees

Recommend75%

Work-Life Balance3.7/5

Salary Range$120k – $350k

**👍 Pros**

-   Strong career growth — managers genuinely invest in development
-   AI-driven product with real market traction ($700M+ revenue)
-   Collaborative environment with smart, driven colleagues
-   Public company stability with startup energy (IPO Oct 2025)

**👎 Cons**

-   Frequent org changes require high adaptability
-   Intense workload and ambitious sales targets
-   Work-life balance varies significantly by team
-   Some reviews cite inconsistent leadership communication

Based on Glassdoor reviews (4.0/5, 991 reviews)

🇺🇸 Palo Alto · NYC · SF · London

 [Full Profile →](https://jobsbyculture.com/companies/navan) [See Jobs →](https://jobsbyculture.com/jobs?company=navan)

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

AI Contact Center Intelligence · Palo Alto

⭐ 4.6

⚙️ Engineering-Driven 🚀 Ship Fast 📚 Learning & Growth 💰 Strong Equity 🎯 Product Impact

"Best engineering team in Silicon Valley. No politics, high ownership, and a product that delivers massive results for customers."

Size~500 employees

Recommend88%

Work-Life Balance3.7/5

Salary Range$145k – $475k

**👍 Pros**

-   World-class engineering talent — no politics, deep ownership
-   Strong compensation with meaningful equity upside
-   High-growth trajectory with real product-market fit
-   Collaborative culture with accessible leadership

**👎 Cons**

-   Fast pace can conflict with work-life balance
-   Hyper-growth startup pains — roles evolving rapidly
-   High expectations and accountability from day one
-   In-office expectations for some roles in Palo Alto

Based on Glassdoor reviews (4.6/5, 52 reviews) and verified employee-reported compensation data

🇺🇸 Palo Alto · 🇦🇺 Melbourne · 🇬🇧 London

 [Full Profile →](https://jobsbyculture.com/companies/cresta) [See Jobs →](https://jobsbyculture.com/jobs?company=cresta)

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Open-Source Search & Observability · Distributed

⭐ 4

🌐 Remote 🔓 Open Source ⚖️ Work-Life Balance 📡 Async 💰 Strong Equity

"Distributed before it was cool. Open-source at the core. Home, Dinner is not a slogan — it is how the company was built."

Size~4,000 employees

Recommend77%

Work-Life Balance4.1/5

Salary Range$161k – $386k

**👍 Pros**

-   Fully distributed since founding — no office politics or relocation required
-   Open-source mission gives engineers real community impact
-   Strong work-life balance with "Home, Dinner" core value
-   Competitive compensation with public-company RSUs

**👎 Cons**

-   Cross-timezone communication can be challenging
-   Recent leadership changes introduced some micromanagement concerns
-   Large company — less startup energy than smaller peers
-   Occasional late-night meetings across time zones

Based on Glassdoor reviews (4.0/5, 861 reviews) + Levels.fyi compensation data

🌐 Fully Distributed · 40+ Countries

 [Full Profile →](https://jobsbyculture.com/companies/elastic) [See Jobs →](https://jobsbyculture.com/jobs?company=elastic)

![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Lambda

GPU Cloud for AI · San Jose

⭐ 3.6

⚙️ Engineering-Driven 🚀 Ship Fast 💰 Strong Equity 🎯 Product Impact

"Building the cloud for AI. Smart engineering team, breakneck growth, and GPU infrastructure that powers the world's top AI labs."

Size~500 employees

Recommend64%

Work-Life Balance3.7/5

Salary Range$140k – $300k

**👍 Pros**

-   Building critical AI infrastructure — Lambda GPUs power top AI labs worldwide
-   Smart, deeply technical engineering team
-   Massive growth ($760M ARR) with $2.3B in funding — strong equity upside
-   Good work-life balance on the right teams

**👎 Cons**

-   Management described as top-down and indecisive by some reviewers
-   Internal politics can slow execution despite fast-growth trajectory
-   Company strategy direction has been questioned in reviews
-   Not everyone gets the same team experience — quality varies

Based on Glassdoor reviews (3.6/5, 29 reviews) + Sacra revenue data

🇺🇸 San Jose · Austin · Remote

 [Full Profile →](https://jobsbyculture.com/companies/lambda) [See Jobs →](https://jobsbyculture.com/jobs?company=lambda)

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Voice AI Platform · San Francisco

⭐ 4.6

⚙️ Engineering-Driven 🚀 Ship Fast 📚 Learning & Growth 🎯 Product Impact

"Exciting market with lots of growth and learning opportunities — talented, humble, and kind people who trust you to do great work."

Size~260 employees

Recommend88%

Work-Life Balance4.3/5

Valuation$1.3B (Jan 2026)

**👍 Pros**

-   Highly collaborative culture with humble, talented engineers
-   Exciting voice AI market with real growth — $1.3B valuation
-   Strong learning opportunities across audio and text AI domains
-   88% of employees recommend working here

**👎 Cons**

-   Intense workload — hard to find good work-life balance at times
-   CEO-driven decision-making can override team consensus
-   Post-layoff concerns about PTO usage and longer hours
-   Public Slack call-outs can feel uncomfortable

Based on Glassdoor reviews (46 reviews, 4.6 stars)

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/deepgram) [See Jobs →](https://jobsbyculture.com/jobs?company=deepgram)

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Restaurant Technology Platform · Boston

⭐ 3.8

⚙️ Engineering-Driven 📚 Learning & Growth 🎯 Product Impact 🌈 Diverse & Inclusive 💰 Strong Equity

"Smart mid-level and senior engineers, inclusive culture, and a product that genuinely transforms how restaurants operate."

Size~6,500 employees

Recommend70%

Work-Life Balance3.7/5

Revenue$6.1B (2025)

**👍 Pros**

-   Inclusive culture — 4.2/5 D&I rating from engineering reviews
-   Competitive compensation with public company RSUs (NYSE: TOST)
-   Forward-thinking tech stack with smart engineering leadership
-   Real product impact — transforming the restaurant industry

**👎 Cons**

-   Return-to-office mandate despite employee pushback
-   Micromanagement from non-technical stakeholders in some teams
-   Career growth can stall — some roles under-leveled vs. industry
-   Siloed departments with poor cross-team communication

Based on Glassdoor reviews (1,624 reviews, 3.8 stars)

🇺🇸 Boston · Dublin · Omaha

 [Full Profile →](https://jobsbyculture.com/companies/toast) [See Jobs →](https://jobsbyculture.com/jobs?company=toast)

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Data Cloud Platform · Bozeman, MT

⭐ 3.7

⚙️ Engineering-Driven 💰 Strong Equity 📚 Learning & Growth 🚀 Ship Fast

"Massive-scale data infrastructure, top-tier compensation, and hard engineering problems — but a culture in transition under new leadership."

Size~7,000 employees

Recommend69%

Work-Life Balance3.4/5

Salary Range$180k – $450k

**👍 Pros**

-   Work on massive-scale distributed systems — genuinely hard engineering problems
-   Top-tier compensation with public company RSUs (4.2/5 comp rating)
-   Senior leaders are accessible — easier to get face time than at larger tech cos
-   Strong technical bar and collaborative engineering teams

**👎 Cons**

-   Culture in transition under new CEO — holiday cuts and morale concerns
-   Work-life balance varies by team — oncall can be rough
-   Quarterly planning described as heavy overhead by many engineers
-   Recent layoffs and reorganizations have created uncertainty

Based on Glassdoor reviews (3.7/5, 1,018 reviews) + public financial data

🇺🇸 Bozeman · SF · Bellevue · Global

 [Full Profile →](https://jobsbyculture.com/companies/snowflake) [See Jobs →](https://jobsbyculture.com/jobs?company=snowflake)

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Product Analytics · San Francisco

⭐ 3.8

⚙️ Engineering-Driven 📚 Learning & Growth 🎯 Product Impact 💰 Strong Equity

"Data-driven product analytics company where engineers own the platform powering decisions at 2,600+ companies."

Size~700 employees

Recommend61%

Work-Life Balance3.9/5

Salary Range$150k – $300k

**👍 Pros**

-   Strong product analytics platform used by thousands of companies
-   Competitive comp and benefits (4.4/5 rated)
-   Good work-life balance (3.9/5)
-   Engineers own meaningful problems with real customer impact

**👎 Cons**

-   Frequent leadership changes and strategic pivots
-   Management rated lowest category (3.1/5)
-   Post-IPO growing pains with layoffs since 2023
-   Priorities can shift every 3-4 months

Based on employee reviews

🇺🇸 SF · 🇬🇧 London · 🇫🇷 Paris

 [Full Profile →](https://jobsbyculture.com/companies/amplitude) [See Jobs →](https://jobsbyculture.com/jobs?company=amplitude)

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Identity & Security · San Francisco

⭐ 3.7

📚 Learning & Growth 💰 Strong Equity 🎯 Product Impact 🌈 Diverse

"The identity platform that secures every connection. Dynamic Work means flexibility is built in, not bolted on."

Size~6,000 employees

Recommend66%

Work-Life Balance3.8/5

Salary Range$140k – $320k

**👍 Pros**

-   Dynamic Work — flexible schedules, no mandatory office days
-   Strong compensation & benefits (4.0/5 rated)
-   Market-leading identity platform — meaningful security mission
-   Good work-life balance with no-meeting Fridays

**👎 Cons**

-   Recent layoffs have affected morale and job security perception
-   Career opportunities rated 3.4/5 — growth paths could be clearer
-   Large company bureaucracy — can feel slow compared to startups
-   Culture varies significantly across teams and departments

Based on employee reviews

🇺🇸 SF · 🇺🇸 DC · 🇬🇧 London · Global

 [Full Profile →](https://jobsbyculture.com/companies/okta) [See Jobs →](https://jobsbyculture.com/jobs?company=okta)

![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Ironclad

AI Contract Management · San Francisco

⭐ 4.4

⚖️ Work-Life Balance ⚙️ Engineering-Driven 🎯 Product Impact 📚 Learning & Growth

"Zero-ego, high-caliber team building the gold standard in AI-powered contract management. Engineers praise low-friction processes and real product impact."

Size~800 employees

Recommend86%

Work-Life Balance4.5/5

Salary Range$130k – $280k

**👍 Pros**

-   Excellent work-life balance (4.5/5) — rare for a high-growth company
-   Top-notch engineering org with modern tech stack and low-friction processes
-   Game-changing CLM product — engineers see direct impact on how businesses operate
-   High-caliber, zero-ego colleagues who genuinely help each other succeed

**👎 Cons**

-   Compensation below industry standards for some roles — no 401k match
-   AI ambitions outpace current capabilities — gap between marketing and reality
-   Office getting cramped as team grows rapidly
-   Some inconsistency in hiring bar across departments

Based on employee reviews

🇺🇸 San Francisco · New York

 [Full Profile →](https://jobsbyculture.com/companies/ironclad) [See Jobs →](https://jobsbyculture.com/jobs?company=ironclad)

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Crypto & Fintech · Remote-First

⭐ 3.7

🌐 Remote 💰 Strong Equity 🚀 Ship Fast ⚙️ Engineering-Driven

"Remote-first at 95%, top-tier compensation, and a mission to build an open financial system. High-performance culture that rewards builders."

Size~5,000 employees

Recommend54%

Work-Life Balance2.9/5

Salary Range$150k – $400k+

**👍 Pros**

-   Truly remote-first — 95% of roles are remote with genuine flexibility
-   Outstanding compensation & benefits rated 4.3/5 — strong RSU packages
-   Mission-driven crypto platform building the future of finance
-   Strong engineering culture with high-caliber technical talent

**👎 Cons**

-   Poor work-life balance (2.9/5) — intense, high-performance expectations
-   Layoff history has eroded trust in job security
-   Culture & values rated 3.3/5 — efficiency-driven can feel impersonal
-   Career opportunities rated 3.4/5 — growth paths need more clarity

Based on employee reviews

🌐 Remote-First · Global

 [Full Profile →](https://jobsbyculture.com/companies/coinbase) [See Jobs →](https://jobsbyculture.com/jobs?company=coinbase)

![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Hippocratic AI

Healthcare AI · Palo Alto

⭐ 3.9

💜 Mission-Driven ⚙️ Engineering-Driven 🚀 Ship Fast 🧩 Many Hats 📚 Learning & Growth

"Mission-first healthcare AI with a take-the-Hippocratic-Oath onboarding culture. Fast-moving startup solving real clinical problems with generative AI."

Size~264 employees

Recommend86%

Work-Life Balance3.2/5

Salary Range$150k – $350k

**👍 Pros**

-   Genuinely mission-driven — new hires take the Hippocratic Oath together
-   Exceptional recruiting and onboarding experience rated best-in-class
-   Career opportunities rated 4.5/5 — rapid growth means fast advancement
-   Clinically validated product with real patient impact

**👎 Cons**

-   Work-life balance rated 3.2/5 — long hours common at startup pace
-   In-office five days a week in Palo Alto — no remote flexibility
-   Everyone wears multiple hats — energizing but can be stressful
-   Forward-leaning technology requires extra customer enablement

Based on employee reviews

🇺🇸 Palo Alto, CA

 [Full Profile →](https://jobsbyculture.com/companies/hippocratic-ai) [See Jobs →](https://jobsbyculture.com/jobs?company=hippocratic-ai)

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Music & Audio Streaming · Stockholm / Global

⭐ 3.9

⚖️ Work-Life Balance 🕐 Flex Hours ⚙️ Engineering-Driven 📚 Learning & Growth 💰 Strong Equity

"Famous for the squad model and genuine work-life balance. Managers actively check you've taken vacation. Global, flexible, and built for creative engineers."

Size~7,300 employees

Recommend79%

Work-Life Balance4.3/5

Salary Range$150k – $400k+

**👍 Pros**

-   Outstanding work-life balance rated 4.3/5 — managers actively encourage time off
-   Genuine flexibility with Work From Anywhere policy and flexible PTO
-   Pioneered the squad model — strong engineering autonomy and ownership
-   Culture & values rated 4.1/5 with 79% employee recommendation rate

**👎 Cons**

-   Career opportunities rated 3.5/5 — advancement can feel slow at scale
-   2023 layoffs (17%) impacted morale and trust despite record profits
-   Management quality varies greatly by team and tribe
-   Company has evolved past the original squad model — some cultural drift

Based on employee reviews

🇸🇪 Stockholm · 🇺🇸 NYC · 🇬🇧 London · Global

 [Full Profile →](https://jobsbyculture.com/companies/spotify) [See Jobs →](https://jobsbyculture.com/jobs?company=spotify)

![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Exa

AI Search Engine for LLMs · San Francisco

Limited data

⚙️ Engineering-Driven 🚀 Ship Fast 🎯 Product Impact 🤝 Flat 🎭 Wear Many Hats

"Building the search engine that powers AI agents. Small team, massive infrastructure ambition, YC pedigree."

Size~120 employees

Work-Life Balance3.5/5

Salary Range$150k – $280k

**👍 Pros**

-   Building core AI infrastructure used by top labs and enterprises
-   YC-backed, Series B ($85M) — strong growth trajectory
-   Small team with outsized impact on how AI accesses the web
-   Technical founders (MIT) still deeply involved in engineering

**👎 Cons**

-   Early-stage intensity — fast pace with evolving priorities
-   Limited public reviews — culture transparency still developing
-   San Francisco–centric — most roles require in-office presence
-   Rapid scaling from ~75 to 120+ means processes are still forming

Limited data — Glassdoor reviews not yet available for this company.

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/exa) [See Jobs →](https://jobsbyculture.com/jobs?company=exa)

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Global Trade & Logistics Platform · San Francisco

⭐ 3.5

🚀 Ship Fast 🎯 Product Impact 📚 Learning & Growth ⚙️ Engineering-Driven

"Entrepreneurial, cross-functional team building the operating system for global trade. Move fast with smart, motivated people."

Size~750 employees

Recommend64%

Work-Life Balance3.6/5

Salary Range$130k – $250k

**👍 Pros**

-   Entrepreneurial culture with motivated, intelligent colleagues
-   Cross-functional global collaboration as a core operating norm
-   Real product impact — building the OS for global trade at scale
-   Good pay-to-effort ratio with smart peers in logistics tech

**👎 Cons**

-   Multiple rounds of large layoffs since 2022 — job security concerns
-   Top-down decisions; engineering deadlines not based on eng input
-   5-day mandatory return-to-office announced in 2025
-   Teams reduced to bare minimum with limited innovation budget

Based on Glassdoor reviews

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/flexport) [See Jobs →](https://jobsbyculture.com/jobs?company=flexport)

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Mission-Driven Fintech · San Francisco

⭐ 4

⚖️ Work-Life Balance 💜 Mission-Driven ⚙️ Engineering-Driven 📚 Learning & Growth

"Helping everyday Americans build financial progress. Strong work-life balance, large engineering org, and a mission that actually matters."

Size~1,800 employees

Recommend82%

Work-Life Balance4.1/5

Salary Range$150k – $280k

**👍 Pros**

-   Genuine social impact mission — helping 7M+ Americans with no-fee banking
-   Strong WLB: 4.1/5 Glassdoor score, monthly Take Care of Yourself Days, 16 weeks parental leave
-   Large engineering org (32% of company) with real product ownership
-   Built In Best Places to Work recognition across 8 national and city-level lists

**👎 Cons**

-   Career growth described as "very limited" — promotion paths unclear
-   Recent layoffs via reorgs; leadership clarity on product roadmap questioned
-   Culture reportedly shifting from employee-first to output-extraction
-   Diversity concerns in engineering org at IC and leadership levels

Based on Glassdoor reviews

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/chime) [See Jobs →](https://jobsbyculture.com/jobs?company=chime)

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mobile & Digital Intelligence Platform · San Francisco

⭐ 3.3

🎯 Product Impact 📚 Learning & Growth

"Data-rich product for marketers and app developers worldwide. Smart colleagues in a complex analytics domain."

Size~430 employees

Recommend47%

Work-Life Balance3.4/5

Salary Range$110k – $200k

**👍 Pros**

-   Data-rich product with real industry influence across mobile, ad tech, and retail media
-   Smart colleagues and complex analytical problems — good domain for data professionals
-   Decent benefits and competitive starting salary
-   Growing platform with acquisitions expanding the data footprint

**👎 Cons**

-   Unstable leadership with frequent strategic pivots causing team anxiety
-   Low recommend rate (47%) and cultural toxicity flagged in multiple recent reviews
-   Poor job security — frequent departures and unclear growth expectations
-   Inconsistent remote work policy enforcement

Based on Glassdoor reviews

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/sensor-tower) [See Jobs →](https://jobsbyculture.com/jobs?company=sensor-tower)

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

AI-Powered Language Learning · Pittsburgh

⭐ 4.2

🎯 Product Impact ⚙️ Engineering-Driven 📚 Learning Culture 🌍 Social Impact 🚀 Ship Fast 💰 Strong Equity

"The world's most downloaded education app. Strong product culture, collaborative teams, mission-driven work with real scale."

Size~900 employees

Recommend76%

Work-Life Balance3.8/5

Salary Range$130k – $280k

**👍 Pros**

-   World's #1 education app — 800M+ users, genuine social impact
-   Strong product culture with data-driven experimentation (A/B testing everything)
-   Collaborative teams with daily communal lunches — a company-wide tradition
-   Public company (DUOL) with competitive comp, RSUs, and 2-week winter break

**👎 Cons**

-   Shipping fast is rewarded — can create pressure to work longer hours
-   Comp is ~80% of FAANG for equivalent roles
-   Promotion cycle reduced to 1x per year
-   In-office 3 days required — strict hybrid policy, not fully remote

Based on employee reviews

🇺🇸 Pittsburgh

 [Full Profile →](https://jobsbyculture.com/companies/duolingo) [See Jobs →](https://jobsbyculture.com/jobs?company=duolingo)

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

AI Customer Service · San Francisco / Dublin

⭐ 4

⚙️ Engineering-Driven 🚀 Ship Fast 🎯 Product Impact 📚 Learning & Growth

"Founder-led after 14 years with an active engineering blog. The team ships 180 times a day and genuinely debates ideas openly."

Size~1,000 employees

Recommend70%

Work-Life Balance3.8/5

Salary Range$130k – $230k

**👍 Pros**

-   Ships code 180 times per day — one of the highest-velocity teams in SaaS
-   Founder-led after 14 years; original vision is still intact
-   Active public engineering blog with deep technical content
-   Engineer-manager pendulum culture — can switch between IC and management

**👎 Cons**

-   Hybrid 3-days-in-office policy — not remote-friendly
-   Mid-market salary ($130k–$230k); not top-of-band like pure AI labs
-   Smaller company means fewer large-scale infrastructure challenges
-   Some reviews cite lack of clear promotion criteria

Based on 462 Glassdoor reviews

🇺🇸 San Francisco · 🇮🇪 Dublin · 🇬🇧 London

 [Full Profile →](https://jobsbyculture.com/companies/intercom) [See Jobs →](https://jobsbyculture.com/jobs?company=intercom)

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Grocery Tech & Retail Enablement · San Francisco

⭐ 3.6

🎯 Product Impact 📚 Learning & Growth 🌈 Diverse & Inclusive 💰 Strong Equity

"Complex platform engineering at scale — ML, logistics, and real-time fulfillment. Engineers have outsized impact on products used by millions."

Size~3,000 employees

Recommend65%

Work-Life Balance3.6/5

Salary Range$220k – $540k

**👍 Pros**

-   Top-of-market engineering comp — $220K–$540K TC for engineers (Levels.fyi verified)
-   Complex ML/logistics/real-time systems — genuine technical challenge at scale
-   Flex First policy with remote-friendly options across US and Canada
-   Publicly traded (CART) with meaningful RSU packages

**👎 Cons**

-   Overall employee ratings are below average (3.1/5 on Indeed)
-   Management and career advancement scores are low (2.3–2.4/5)
-   Pay satisfaction is low despite high absolute comp — equity expectations vary
-   Facing strategic headwinds as grocery delivery market consolidates

Based on 1,856 Glassdoor reviews

🇺🇸 San Francisco · 🇨🇦 Toronto · 🇺🇸 New York · Flex Remote

 [Full Profile →](https://jobsbyculture.com/companies/instacart) [See Jobs →](https://jobsbyculture.com/jobs?company=instacart)

![Bizzdesign](https://www.google.com/s2/favicons?domain=bizzdesign.com&sz=128)

Bizzdesign

Enterprise Transformation SaaS · Netherlands

⭐ 4.2

📚 Learning & Growth 🎯 Product Impact 🌈 Diverse & Inclusive 🚀 Ship Fast

"Everything starts with people — transformation doesn't follow a straight line and neither do we."

Size~500 employees

Recommend81%

Work-Life Balance4.3/5

Business Outlook82% positive

**👍 Pros**

-   Strong FLOW culture values — flexibility, learning, ownership, growth
-   26-year company with 2,000+ customers — stability with innovation

**👎 Cons**

-   Not a pure AI/tech company — enterprise SaaS focus
-   13 open roles currently — smaller hiring volume

Based on 32 Glassdoor reviews

🇳🇱 Enschede, Netherlands

 [Full Profile →](https://jobsbyculture.com/companies/bizzdesign) [See Jobs →](https://jobsbyculture.com/jobs?company=bizzdesign)

![Figure AI](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

Figure AI

Humanoid Robotics · Sunnyvale

⭐ 3.5

⚙️ Engineering-Driven 🚀 Ship Fast 🎯 Product Impact 💰 Strong Equity

"Building the world's first commercially viable humanoid robot — cutting-edge AI meets physical hardware at unprecedented scale."

Size~400 employees

Work-Life Balance3.2/5 (estimated, 4 reviews)

Funding$3.2B+ raised, ~$40B valuation

**👍 Pros**

-   Cutting-edge humanoid robotics — building something genuinely new
-   Competitive pay and strong equity packages
-   Partnerships with NVIDIA, Microsoft, BMW
-   Great community and supportive colleagues

**👎 Cons**

-   Long work hours — startup intensity is real
-   Some reviews mention toxic dynamics on certain teams
-   Work-life balance is a consistent concern (3.2/5)
-   Only 4 Glassdoor reviews — limited data

Based on 4 Glassdoor reviews (low confidence — estimated ratings)

🇺🇸 Sunnyvale, CA

 [Full Profile →](https://jobsbyculture.com/companies/figureai) [See Jobs →](https://jobsbyculture.com/jobs?company=figureai)

![Twelve Labs](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

Twelve Labs

Video Understanding AI · San Francisco / Seoul

⭐ 3.6

⚙️ Engineering-Driven 🚀 Ship Fast 🤝 Flat Hierarchy 🎯 Product Impact

"Flat, collaborative structure across SF and Seoul — building the world's most powerful video understanding AI infrastructure."

Size~100 employees

Senior Management3.6/5

Compensation4.0/5

CEO Approval73%

**👍 Pros**

-   Cutting-edge video understanding AI — unique niche with strong PMF
-   Flat org with real opportunities for growth and impact
-   Passionate, collaborative team across SF and Seoul
-   Well-funded Series A with strong founding team

**👎 Cons**

-   Pay reported as below average for the market
-   High attrition — the company is 'always hiring'
-   Some reviews cite inexperienced leadership
-   Benefits described as expensive

Based on 6 Glassdoor reviews (low confidence — estimated ratings)

🇺🇸 San Francisco · 🇰🇷 Seoul

 [Full Profile →](https://jobsbyculture.com/companies/twelve-labs) [See Jobs →](https://jobsbyculture.com/jobs?company=twelve-labs)

![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Cartesia

Real-Time Voice AI · San Francisco

⭐ 4.5

⚙️ Engineering-Driven 🚀 Ship Fast 🧩 Many Hats 🎯 Product Impact

"Excellent founders, enormous talent, and well-thought-through product direction — building the fastest voice AI models in the world."

Size~91 employees

Funding$191M raised (Series A)

Work-Life Balance3.5/5 (estimated, 2 reviews)

**👍 Pros**

-   Excellent founders from Stanford ML research (Albert Gu, Chris Re)
-   Fastest TTS models in the industry — real enterprise traction ($17M revenue)
-   Small team with enormous talent density
-   Well-funded ($191M) with strong investor backing (Kleiner Perkins, Index)

**👎 Cons**

-   Very fast-paced — comes with higher pressure and stress
-   Only 2 Glassdoor reviews — very limited employee data
-   Early-stage growing pains expected at 91 employees
-   San Francisco only — no remote flexibility mentioned

Based on 2 Glassdoor reviews (very low confidence — estimated ratings)

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/cartesia) [See Jobs →](https://jobsbyculture.com/jobs?company=cartesia)

![Character AI](https://www.google.com/s2/favicons?domain=character.ai&sz=128)

Character AI

Conversational AI · Palo Alto

⭐ 3.4

⚙️ Engineering-Driven 🚀 Ship Fast 🎯 Product Impact

"Smart, talented coworkers building one of the most popular consumer AI apps — but organizational turbulence is real."

Size~255 employees

Recommend47%

Compensation3.6/5

Funding$193M raised

**👍 Pros**

-   Founded by ex-Google Brain researchers — deep AI expertise
-   One of the most popular consumer AI apps globally
-   Good compensation with 401k match
-   Smart, talented coworkers

**👎 Cons**

-   Major layoffs (30%) and leadership churn
-   Only 47% of employees recommend — well below average
-   Work-life balance rated very low by technical staff
-   Organizational instability — constant restructuring

Based on 8 Glassdoor reviews

🇺🇸 Palo Alto, CA

 [Full Profile →](https://jobsbyculture.com/companies/character) [See Jobs →](https://jobsbyculture.com/jobs?company=character)

![Stability AI](https://www.google.com/s2/favicons?domain=stability.ai&sz=128)

Stability AI

Open-Source Generative AI · London (Remote)

⭐ 3.1

🔓 Open Source 📚 Learning & Growth 🎯 Product Impact

"Fully remote with a 4-day work week — pioneers of open-source generative AI, though leadership stability has been a concern."

Size~191 employees

Recommend60%

Work-Life Balance3.2/5

Culture & Values3.1/5

**👍 Pros**

-   Fully remote with a 4-day work week
-   Pioneers of Stable Diffusion — one of the most impactful open-source AI projects
-   Competitive salary with huge autonomy
-   Friendly, talented team with no micromanagement

**👎 Cons**

-   Leadership and decision-making widely criticized (3.1/5 overall)
-   Organizational chaos — constant restructuring and strategy shifts
-   60% recommend is below average
-   Business outlook uncertain — 53% positive

Based on 23 Glassdoor reviews

🇬🇧 London · Remote

 [Full Profile →](https://jobsbyculture.com/companies/stabilityai) [See Jobs →](https://jobsbyculture.com/jobs?company=stabilityai)

![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Lightmatter

Photonic AI Computing · Boston

⭐ 4

⚙️ Engineering-Driven 🚀 Ship Fast 🎯 Product Impact 📚 Learning & Growth

"Building the photonic supercomputer for AI. First-of-its-kind hardware that uses light instead of electrons — genuinely world-changing engineering."

Size~300 employees

Recommend79%

Work-Life Balance3.5/5

Salary Range$140k – $300k

**👍 Pros**

-   Genuinely groundbreaking technology — photonic chips for AI compute
-   Collaborative, trusting culture with brilliant colleagues
-   Flat hierarchy with real ownership over projects
-   Hybrid/remote flexibility for many positions

**👎 Cons**

-   Startup intensity — can feel like constant crisis mode
-   Pay and benefits cited as below top-tier tech for some roles
-   Rapid growth means processes are still maturing
-   Work-life balance concerns in some teams

Based on 28 Glassdoor reviews

🇺🇸 Boston · Mountain View

 [Full Profile →](https://jobsbyculture.com/companies/lightmatter) [See Jobs →](https://jobsbyculture.com/jobs?company=lightmatter)

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Democratizing Finance · Menlo Park

⭐ 3.7

⚙️ Engineering-Driven 🚀 Ship Fast 💰 Strong Equity 💜 Mission-Driven

"Engineering-first fintech on a mission to democratize finance. Fast-moving teams with strong comp and genuine mission alignment."

Size~2,500 employees

Recommend61%

Work-Life Balance3.5/5

Salary Range$180k – $450k

**👍 Pros**

-   Strong mission — democratizing finance for all, not just the wealthy
-   Excellent compensation and benefits (4.0/5 rated)
-   Engineering is the largest department — engineers have real influence
-   flexible PTO with offices in multiple cities

**👎 Cons**

-   Intense pace — market events and launches can mean long stretches
-   Layoff history has impacted morale and trust in leadership
-   Career growth rated below average (3.3/5)
-   Return-to-office policies have been contentious

Based on 863 Glassdoor reviews

🇺🇸 Menlo Park · NYC · Denver · Seattle

 [Full Profile →](https://jobsbyculture.com/companies/robinhood) [See Jobs →](https://jobsbyculture.com/jobs?company=robinhood)

![Benchling](https://www.google.com/s2/favicons?domain=benchling.com&sz=128)

Benchling

Life Science R&D Platform · San Francisco

⭐ 3.5

⚙️ Engineering-Driven 💜 Mission-Driven 📚 Learning & Growth 🎯 Product Impact

"Scientists and engineers collaborating to modernize life science R&D — mission-driven with strong engineering culture and genuine care for the work."

Size~800 employees

Recommend66%

Work-Life Balance3.6/5

Salary Range$150k – $350k

**👍 Pros**

-   Deeply mission-driven — accelerating breakthroughs in biotech, gene therapy, and drug discovery
-   Outstanding engineering culture (4.3/5 from SWEs, 95% recommend)
-   Collaborative, scientifically-minded teammates who genuinely care about the work
-   Good work-life balance by tech standards (3.6/5)

**👎 Cons**

-   Fast pace with shifting priorities as the company scales
-   Career growth paths still developing — learning is more peer-driven than structured
-   Post-hypergrowth layoffs impacted morale
-   Cross-org connections harder as the company grows

Based on 184 Glassdoor reviews

🇺🇸 San Francisco · Boston · Remote

 [Full Profile →](https://jobsbyculture.com/companies/benchling) [See Jobs →](https://jobsbyculture.com/jobs?company=benchling)

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Data Analytics & AI · Denver / DC / Palo Alto

⭐ 3.7

⚙️ Engineering-Driven 🎯 Product Impact 💰 Strong Equity 🚀 Ship Fast

"Intense, mission-critical work with the smartest people in the room. Choose Palantir for intellectual challenge and impact — but expect the hours to match."

Size~4,000 employees

Recommend71%

Work-Life Balance2.8/5

Salary Range$150k – $400k

**👍 Pros**

-   Work on mission-critical problems with some of the smartest engineers in tech
-   Strong career opportunities (3.9/5) — accelerated growth for high performers
-   Excellent compensation and equity — stock has 10x'd since IPO
-   Direct impact on real-world outcomes in defense, healthcare, and infrastructure

**👎 Cons**

-   Poor work-life balance (2.8/5) — long hours are the norm, not the exception
-   Intense, demanding culture is not for everyone
-   Culture & Values rated 3.4/5 — politics and hierarchy can be frustrating
-   Forward-deployed model means frequent travel and client-facing pressure

Based on 869 Glassdoor reviews

🇺🇸 Denver · Palo Alto · DC · NYC · London

 [Full Profile →](https://jobsbyculture.com/companies/palantir) [See Jobs →](https://jobsbyculture.com/jobs?company=palantir)

![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

LaunchDarkly

Feature Flags & Experimentation · Oakland

⭐ 3.8

⚙️ Engineering-Driven ⚖️ Work-Life Balance 🎯 Product Impact 📚 Learning & Growth

"Strong work-life balance with great benefits — the company is stabilizing after leadership changes and picking up steam again."

Size~590 employees

Work-Life Balance4.1/5

Compensation4.1/5

Recommend65%

Valuation$3B

**👍 Pros**

-   Strong work-life balance — managers actively encourage PTO (4.1/5)
-   Excellent benefits package — medical, dental, vision highly rated
-   Feature flags pioneer — category-defining product used by thousands of dev teams
-   $330M raised at $3B valuation — well-funded and stable

**👎 Cons**

-   Priorities can shift quickly — some teams experience instability
-   65% recommend is below average — recent leadership transitions
-   Culture and values rated 3.6/5 — room for improvement
-   Some reviews mention senior leadership not acknowledging efforts

Based on 175 Glassdoor reviews

🇺🇸 Oakland, CA · Remote

 [Full Profile →](https://jobsbyculture.com/companies/launchdarkly) [See Jobs →](https://jobsbyculture.com/jobs?company=launchdarkly)

![WorkOS](https://www.google.com/s2/favicons?domain=workos.com&sz=128)

WorkOS

Enterprise Auth & SSO APIs · San Francisco

⭐ 4

⚙️ Engineering-Driven 🚀 Ship Fast 🎯 Product Impact 🧩 Many Hats

"Developer-first enterprise auth platform — kindness as an operating principle, strong WLB, and a product engineers love to use."

Size~110 employees

Work-Life Balance4.2/5

Compensation4.0/5

Recommend73%

Valuation$2B

**👍 Pros**

-   Kindness as a core operating principle — genuinely shows in the culture
-   Strong work-life balance rated 4.2/5 by employees
-   Developer-beloved product — enterprise auth that engineers actually enjoy using
-   $195M raised at $2B valuation with strong enterprise customer base

**👎 Cons**

-   Small team (~110) means wearing many hats and context-switching
-   Some reviews mention GTM strategy concerns and leadership friction
-   Revenue concentration in a handful of large AI customers
-   Interview process rated challenging (3/5 difficulty)

Based on 30 Glassdoor reviews

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/workos) [See Jobs →](https://jobsbyculture.com/jobs?company=workos)

![Cryptio](https://www.google.com/s2/favicons?domain=cryptio.co&sz=128)

Cryptio

Enterprise Crypto Accounting · Paris

⭐ 4

⚙️ Engineering-Driven 🚀 Ship Fast 🎯 Product Impact 🧩 Many Hats

"Brilliant minds building the definitive enterprise crypto accounting platform — high expectations, high growth, high impact."

Size~110 employees

Funding$45M Series B (March 2026)

Clients400+ enterprises across 30+ countries

Recommend~70% (estimated)

**👍 Pros**

-   Brilliant, high-caliber team — some of the sharpest minds in crypto infrastructure
-   Culture is a core value — people genuinely want to be here
-   Just raised $45M Series B — strong growth trajectory
-   Enterprise-grade product used by Société Générale, Circle, Gemini

**👎 Cons**

-   Crypto is 24/7 — can be hard to switch off
-   EU-heavy team but US timezone expectations
-   Intense environment with high expectations
-   Small team means wearing many hats

Based on Glassdoor reviews (limited data)

🇫🇷 Paris · 🇺🇸 US (Remote)

 [Full Profile →](https://jobsbyculture.com/companies/cryptio) [See Jobs →](https://jobsbyculture.com/jobs?company=cryptio)

![Automattic](https://www.google.com/s2/favicons?domain=automattic.com&sz=128)

Automattic

WordPress · Tumblr · WooCommerce · Fully Remote

⭐ 2.9

🌐 Remote 🔓 Open Source 📚 Learning & Growth

"The original fully distributed company — powering 43% of the web, but facing significant culture challenges."

Size~1,900 employees

Work-Life Balance3.8/5

Compensation3.7/5

Recommend40%

**👍 Pros**

-   Fully distributed since 2005 — one of the most experienced remote companies ever
-   Open-source at the core — WordPress powers 43% of the web
-   Location-independent salaries — pay not reduced by location
-   Genuine flexibility — make your own hours, work from anywhere

**👎 Cons**

-   Overall Glassdoor dropped to 2.9/5 — significant decline
-   Only 40% of employees recommend — well below average
-   Career opportunities rated 2.6/5
-   Leadership and organizational instability concerns

Based on 503 Glassdoor reviews

🌍 Fully Remote (90+ countries)

 [Full Profile →](https://jobsbyculture.com/companies/automattic) [See Jobs →](https://jobsbyculture.com/jobs?company=automattic)

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

AI Chips & RISC-V · Toronto / Santa Clara

⭐ 3.6

⚙️ Engineering-Driven 🚀 Ship Fast 📚 Learning & Growth

"Build the future of computing under Jim Keller. Flat hierarchy, hard problems, and engineers who ship silicon."

Size~1,100 employees

Work-Life Balance3.5/5

Recommend58%

Salary Range$150k – $300k

**👍 Pros**

-   Work on cutting-edge AI chip architecture under legendary CPU designer Jim Keller
-   Flat hierarchy — management described as chill and flexible
-   Challenging, meaningful engineering problems at the hardware/software boundary
-   Strong career growth rated 3.8/5 — engineers gain rare silicon design experience

**👎 Cons**

-   Intense workload — some reports of long hours and aggressive roadmaps
-   Culture can feel chaotic as the company scales rapidly
-   Mixed reviews on internal collaboration and communication
-   Compensation competitive but equity upside uncertain pre-IPO

Based on 67 Glassdoor reviews

🇨🇦 Toronto · 🇺🇸 Santa Clara · Austin

 [Full Profile →](https://jobsbyculture.com/companies/tenstorrent) [See Jobs →](https://jobsbyculture.com/jobs?company=tenstorrent)

![Dropbox](https://www.google.com/s2/favicons?domain=dropbox.com&sz=128)

Dropbox

Cloud Storage & Collaboration · Remote (Virtual First)

⭐ 3.9

🌐 Remote ⚖️ Work-Life Balance ⚙️ Engineering-Driven 📚 Learning & Growth 💰 Strong Equity

"Virtual First pioneer since 2020. Remote-first with Dropbox Studios for in-person collaboration. Strong WLB and comp."

Size~2,500 employees

Work-Life Balance4.2/5

Recommend69%

Salary Range$170k – $350k

**👍 Pros**

-   Virtual First pioneer — genuine remote-first since 2020, not lip service
-   Strong work-life balance rated 4.2/5 — managers respect personal time
-   Excellent compensation and benefits rated 4.2/5
-   126% increase in applications per role — people want to work here

**👎 Cons**

-   Frequent re-orgs and layoffs create organizational instability
-   Direction can feel unclear — shifting definitions of success
-   Career opportunities rated 3.5/5 — growth paths not always defined
-   Rating has decreased 3% year-over-year — momentum concerns

Based on 1,613 Glassdoor reviews

🌐 Remote (Virtual First) · SF HQ

 [Full Profile →](https://jobsbyculture.com/companies/dropbox) [See Jobs →](https://jobsbyculture.com/jobs?company=dropbox)

![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Goodfire

AI Interpretability · San Francisco

Limited data

⚙️ Engineering-Driven 🛡️ Ethical AI 🧩 Many Hats 🎯 Product Impact

"World-class interpretability research lab backed by Anthropic — reverse-engineering neural networks to make AI safe and controllable."

Size~51 employees

Funding$209M raised ($150M Series B, Feb 2026)

Valuation$1.25B

InvestorsB Capital, Menlo, Lightspeed, Anthropic

**👍 Pros**

-   World-class research team — ex-OpenAI, DeepMind, Harvard, Stanford
-   Frontier AI interpretability work — making neural networks understandable
-   Public benefit corporation — mission-driven by design
-   $209M raised with Anthropic as an investor — strong validation

**👎 Cons**

-   Very early stage (~51 people) — expect rapid change and ambiguity
-   No Glassdoor reviews yet — limited visibility into employee experience
-   Interpretability is a niche field — may limit career mobility
-   San Francisco only — no remote mentioned

Limited data — Glassdoor reviews not yet available for this company.

🇺🇸 San Francisco

 [Full Profile →](https://jobsbyculture.com/companies/goodfire) [See Jobs →](https://jobsbyculture.com/jobs?company=goodfire)

![DevRev](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

DevRev

AI-Native CRM · Palo Alto

⭐ 4.1

⚙️ Engineering-Driven 🚀 Ship Fast 📚 Learning & Growth 🎯 Product Impact

"Founded by Nutanix co-founder Dheeraj Pandey — building an AI-native platform that unifies product, support, and engineering in one system."

Size~800 employees

Recommend76%

Work-Life Balance3.4/5

Valuation$1.15B (Unicorn)

**👍 Pros**

-   Unicorn founded by proven SaaS pioneer (Nutanix co-founder)
-   Strong learning culture — global exposure, experimentation encouraged
-   High career opportunity score (3.9/5) — fast growth creates roles
-   AI-native product with real enterprise traction

**👎 Cons**

-   Demanding pace — work-life balance scores 3.4/5
-   Fast-paced environment can feel overwhelming for some
-   Global distributed team means cross-timezone coordination
-   Some reviews cite mixed management experiences

Based on 180 Glassdoor reviews

🇺🇸 Palo Alto · 🇮🇳 India · Global

 [Full Profile →](https://jobsbyculture.com/companies/devrev) [See Jobs →](https://jobsbyculture.com/jobs?company=devrev)

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Social Platform · San Francisco

⭐ 3.8

⚙️ Engineering-Driven 💰 Strong Equity 📚 Learning & Growth 🎯 Product Impact

"The front page of the internet — a public company with a 'Default Open' philosophy, massive engineering scale, and culture shaped by its own community DNA."

Size~2,000+ employees

Recommend54%

Work-Life Balance3.5/5

Salary Range$150k – $352k

**👍 Pros**

-   Public company equity (NYSE: RDDT) with strong compensation (4.1/5)
-   Massive user impact — engineers ship to hundreds of millions of users
-   'Default Open' philosophy with weekly all-hands and internal subreddits
-   Comprehensive benefits: flexible vacation, extended parental leave, volunteer time

**👎 Cons**

-   Shifting strategies and reorganizations create uncertainty
-   Management quality is inconsistent across teams (3.2 senior mgmt)
-   Recent layoffs and perks reductions alongside evolving priorities
-   54% recommend rate — lower than typical for tech at this level

Based on 431 Glassdoor reviews

🇺🇸 San Francisco · Remote-friendly

 [Full Profile →](https://jobsbyculture.com/companies/reddit) [See Jobs →](https://jobsbyculture.com/jobs?company=reddit)

![Kindred](https://www.google.com/s2/favicons?domain=livekindred.com&sz=128)

Kindred

Home Swapping Network · San Francisco

Limited data

🎯 Product Impact 🚀 Ship Fast ⚙️ Engineering-Driven 🧩 Wears Many Hats

"Ex-Opendoor team backed by a16z and Index Ventures. Small team reinventing how people live and travel through home swapping."

Size~50 employees

Work-Life Balance3.8/5

Fundinga16z, Index Ventures, Bessemer, NEA

**👍 Pros**

-   Founded by ex-Opendoor team with proven track record (B+ exit)
-   Backed by a16z, Index Ventures, Bessemer — top-tier investors
-   Small team with direct product impact — every engineer shapes the product
-   Remote-first with US flexibility

**👎 Cons**

-   Very early-stage — minimal processes and career ladders
-   Small team means wearing many hats and intense pace
-   Limited Glassdoor data — culture hard to assess externally

Limited data — Glassdoor reviews not yet available for this company.

🇺🇸 San Francisco · Remote (US)

 [Full Profile →](https://jobsbyculture.com/companies/kindred) [See Jobs →](https://jobsbyculture.com/jobs?company=kindred)

02 — Live Jobs

## Real jobs, updated daily

Fresh roles from companies with strong culture scores, updated every refresh.

[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Senior Product Engineer, Cresta Labs

Cresta

United States (Remote)

Today Apply →

](https://jobsbyculture.com/jobs/cresta/senior-product-engineer-cresta-labs)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Forward Deployed AI Accelerator, Marketing

Stripe

Remote in the US

Today Apply →

](https://jobsbyculture.com/jobs/stripe/forward-deployed-ai-accelerator-marketing)[

![Chainguard](https://www.google.com/s2/favicons?domain=www.chainguard.dev&sz=128)

Corporate Account Executive - Central

Chainguard

United States - Remote

Today Apply →

](https://jobsbyculture.com/jobs/chainguard/corporate-account-executive-central)[

![Anthropic](https://www.google.com/s2/favicons?domain=www.anthropic.com&sz=128)

Anthropic Fellows Program

Anthropic

London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA

Today Apply →

](https://jobsbyculture.com/jobs/anthropic/anthropic-fellows-program)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Organic Search Marketer - SEO/AEO

Mercury

San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States

Today Apply →

](https://jobsbyculture.com/jobs/mercury/organic-search-marketer-seo-aeo)[

![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Senior Finance Analytics Manager | United States | Remote

Grafana Labs

United States (Remote)

Today Apply →

](https://jobsbyculture.com/jobs/grafanalabs/senior-finance-analytics-manager-united-states-remote)[

![Samsara](https://www.google.com/s2/favicons?domain=www.samsara.com&sz=128)

Customer Success Manager III

Samsara

Remote - US

Today Apply →

](https://jobsbyculture.com/jobs/samsara/customer-success-manager-iii)[

![GitLab](https://www.google.com/s2/favicons?domain=about.gitlab.com&sz=128)

Engagement Manager - EMEA

GitLab

Remote, Ireland; Remote, United Kingdom

Today Apply →

](https://jobsbyculture.com/jobs/gitlab/engagement-manager-emea)[

![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Lead Solutions Engineer - West

Webflow

CA Remote (BC & ON only); U.S. Remote

5d ago Apply →

](https://jobsbyculture.com/jobs/webflow/lead-solutions-engineer-west)[

![Twilio](https://www.google.com/s2/favicons?domain=www.twilio.com&sz=128)

Account Executive

Twilio

Remote - Australia

Today Apply →

](https://jobsbyculture.com/jobs/twilio/account-executive)[

![Spotify](https://www.google.com/s2/favicons?domain=www.lifeatspotify.com&sz=128)

Research Scientist - Generative Audio

Spotify

New York, NY

3d ago Apply →

](https://jobs.lever.co/spotify/0eebb462-b5a2-4e3a-b830-d8ef7505b014?ref=jobsbyculture.com)[

![Flexport](https://www.google.com/s2/favicons?domain=www.flexport.com&sz=128)

Automation Engineer I

Flexport

Atlanta, Georgia, United States

Today Apply →

](https://jobsbyculture.com/jobs/flexport/automation-engineer-i)

03 — Culture Quiz

## Discover your work _personality_

Answer 5 quick questions and we'll tell you what culture type fits you best.

### Culture Match Quiz

5 questions · 2 minutes · Personalized results

### Your Culture Type

[Find Matching Jobs →](https://jobsbyculture.com/jobs)



04 — Explore

## Browse by _value_

Deep-dive into companies that champion specific culture values.

[⚖️

### Work-Life Balance

Sustainable hours, generous PTO, and managers who respect boundaries

→ 1,646 jobs](https://jobsbyculture.com/jobs?value=wlb) [🌐

### Remote-Friendly

Work from anywhere with async communication and no office penalties

→ 1,506 jobs](https://jobsbyculture.com/jobs?value=remote) [🕐

### Flexible Hours

Set your own schedule — results matter more than clock-in times

→ 325 jobs](https://jobsbyculture.com/jobs?value=flex-hours) [📡

### Async-First

Fewer meetings, more written docs, and respect for deep focus time

→ 476 jobs](https://jobsbyculture.com/jobs?value=async) [🎧

### Deep Work / Low Meetings

Protected focus time with minimal meeting overhead

→ 67 jobs](https://jobsbyculture.com/jobs?value=deep-work) [🪟

### Transparent

Open books, shared context, and honest communication top to bottom

→ 2,269 jobs](https://jobsbyculture.com/jobs?value=transparent) [🤝

### Flat Hierarchy

Minimal management layers, engineers talk to leadership

→ 618 jobs](https://jobsbyculture.com/jobs?value=flat) [🌈

### Diverse & Inclusive

Teams that actively invest in representation and belonging

→ 2,595 jobs](https://jobsbyculture.com/jobs?value=diverse) [🛡️

### Safe to Fail

Blameless postmortems, experimentation encouraged, learn from mistakes

→ 312 jobs](https://jobsbyculture.com/jobs?value=psych-safety) [⚙️

### Engineering-Driven

Where engineers shape product direction and technical decisions

→ 11,034 jobs](https://jobsbyculture.com/jobs?value=eng-driven) [🚀

### Ship Fast

Rapid iteration, bias for action, deploy daily

→ 8,387 jobs](https://jobsbyculture.com/jobs?value=ship-fast) [🔓

### Open Source

Teams that build in public and contribute back

→ 1,689 jobs](https://jobsbyculture.com/jobs?value=open-source) [🌱

### Learning & Growth

Growth budgets, internal talks, and continuous development

→ 10,539 jobs](https://jobsbyculture.com/jobs?value=learning) [💎

### Strong Comp & Equity

Meaningful ownership stakes, not just token options

→ 9,136 jobs](https://jobsbyculture.com/jobs?value=equity) [🎯

### Direct Product Impact

Your code ships to users — no layers between you and impact

→ 10,016 jobs](https://jobsbyculture.com/jobs?value=product-impact) [🧩

### Wears Many Hats

Small teams where you own problems end-to-end

→ 881 jobs](https://jobsbyculture.com/jobs?value=many-hats) [🤖

### Ethical AI / Safety

Safety-first AI with mandatory bias audits and responsible deployment

→ 444 jobs](https://jobsbyculture.com/jobs?value=ethical-ai) [💜

### Mission-Driven

Companies building technology to genuinely improve the world

→ 1,422 jobs](https://jobsbyculture.com/jobs?value=social-impact) [⚡

### All AI & Tech Jobs

Every role filtered by culture values — browse all 118 companies

→ 13,906 jobs](https://jobsbyculture.com/jobs)

05 — Locations

## Browse by _location_

Find AI & tech jobs in your city — or go fully remote.

[🌉

### San Francisco

The epicenter of AI — frontier labs, startups, and everything in between

→ 3,951 jobs](https://jobsbyculture.com/locations/san-francisco) [🗽

### New York City

Booming AI scene with fintech crossover and major lab outposts

→ 2,041 jobs](https://jobsbyculture.com/locations/new-york) [🌍

### Remote

Work from anywhere — distributed teams, async culture, no office required

→ 2,354 jobs](https://jobsbyculture.com/locations/remote) [🌲

### Seattle

Deep engineering talent, no state income tax, and growing AI hubs

→ 649 jobs](https://jobsbyculture.com/locations/seattle) [🇬🇧

### London

Europe's largest AI hub — home to DeepMind and growing lab presence

→ 828 jobs](https://jobsbyculture.com/locations/london) [🇫🇷

### Paris

Major AI research hub anchored by Mistral AI and Hugging Face

→ 209 jobs](https://jobsbyculture.com/locations/paris) [🇮🇪

### Dublin

European HQ for major tech companies with strong AI teams

→ 343 jobs](https://jobsbyculture.com/locations/dublin) [🇮🇳

### Bengaluru

India's tech capital with growing AI engineering offices

→ 370 jobs](https://jobsbyculture.com/locations/bengaluru) [🇸🇬

### Singapore

Southeast Asia's AI hub bridging East and West

→ 253 jobs](https://jobsbyculture.com/locations/singapore) [🇯🇵

### Tokyo

Rapidly expanding AI market with dedicated Japan offices

→ 224 jobs](https://jobsbyculture.com/locations/tokyo) [🇨🇦

### Toronto

AI research powerhouse with the Vector Institute and Cohere HQ

→ 295 jobs](https://jobsbyculture.com/locations/toronto) [🇩🇪

### Berlin

Dynamic European startup hub with growing AI presence

→ 168 jobs](https://jobsbyculture.com/locations/berlin)

⏱️

### How much do meetings cost your team?

Before you apply, check if a company's meeting culture aligns with your preferences. Calculate the real cost of meetings.

[Try Meeting Tax Calculator →](https://meetingtax.com/?ref=jobsbyculture.com)

## Get culture-matched jobs _weekly_

New roles from companies that actually care about how teams work. No spam, no recruiter BS.

06 — Blog

## Latest from the _blog_

Deep dives into company culture, compensation, and what it's really like to work at top AI companies.

[

Company Deep Dive

### Airtable Interview Prep (2026): What the Loop Actually Looks Like

What Airtable's interview loop reportedly looks like for engineering, product, and design roles in 2026 — recruiter s...

](https://jobsbyculture.com/blog/airtable-interview-prep-2026)[

Company Deep Dive

### The Careers Page Audit Checklist for 2026 (39 Signals Engineers Actually Look For)

A 39-point careers page audit for hiring managers and HR leaders — what strong engineering candidates actually check ...

](https://jobsbyculture.com/blog/careers-page-audit-checklist-2026)[

Company Deep Dive

### How to Evaluate an Engineering Culture Before You Accept the Offer (2026)

The concrete due diligence to run before you sign — engineering blog checks, reference-call scripts, review-reading h...

](https://jobsbyculture.com/blog/how-to-evaluate-engineering-culture-before-accepting-offer-2026)[

Company Deep Dive

### How to Network in Tech in 2026 (Without Being Cringe)

Tech networking that actually opens doors — without cold LinkedIn spam, forced coffee chats, or 'quick 15 mins' asks....

](https://jobsbyculture.com/blog/how-to-network-in-tech-2026)

[View all articles →](https://jobsbyculture.com/blog)

### List Your Company

We'll reach out to get your culture profile set up.

---

## Document: Tech Internships 2026 — 400+ Open Roles at Top Companies | JobsByCulture

# Tech Internships 2026 — 400+ Open Roles at Top Companies | JobsByCulture

> Browse 165+ tech internships at companies like Apple, Google, TikTok, Oracle, and more. Filter by role, location, and company. Updated weekly from verified sources.

Source: https://jobsbyculture.com/internships
Markdown: https://jobsbyculture.com/internships.md
Last updated: 2026-07-14

---
Updated Weekly

# Tech Internships _2026_

Every open tech internship we can find. Software engineering, data science, AI/ML, product management, and hardware — from startups to FAANG.

165

internships

40

companies

5

categories

 All Locations Remote United States Canada UK Other



Showing 17 of 17 internships

Company ▲

Role

Location

Category

Apply

No internships match your filters. Try broadening your search.

## How to Land a Tech Internship in 2026

1.  **Start with targeted applications, not volume.** Sending 200 generic applications is less effective than 30 tailored ones. Research each company's tech stack, read their engineering blog, and reference specific projects in your cover letter. Recruiters can spot a template from the first sentence.
2.  **Build one project that solves a real problem.** A single well-documented project that people actually use (even 10 users) matters more than 15 tutorial repos. Deploy it, write a README that explains your design decisions, and be ready to discuss trade-offs you made. Bonus if it uses the same tech stack as your target company.
3.  **Practice coding interviews systematically, not randomly.** Work through problems by pattern (sliding window, BFS/DFS, dynamic programming) rather than difficulty. Aim for 100-150 problems over 2-3 months, focusing on understanding the pattern rather than memorizing solutions. Use timed sessions to simulate real interview pressure.
4.  **Get referrals through genuine connections.** Attend company tech talks, contribute to their open-source repos, or reach out to engineers whose blog posts you've read. A warm referral doubles your chance of getting an interview. But don't ask for a referral in your first message — build context first.
5.  **Apply early and track everything.** Most FAANG internship slots fill 3-6 months before the start date. Use a spreadsheet to track application dates, deadlines, referral contacts, and interview stages. Follow up politely if you haven't heard back in 2-3 weeks. Persistence without being pushy is the balance.

## When to Apply

Timing matters more than most candidates realize. Here's when the largest tech companies typically open and close internship applications for summer positions.

Aug - Oct 2025

FAANG and large tech companies open summer 2026 applications. Google, Meta, Apple, Amazon, and Microsoft post early and fill fast.

Nov - Jan

Mid-size companies and well-funded startups begin posting. Quant firms (Jane Street, Citadel, Two Sigma) often have early deadlines in this window.

Feb - Apr 2026

Rolling applications continue. Many startups and smaller companies hire on a rolling basis through spring. Some large companies open second-round postings.

May - Jun 2026

Last-minute openings appear as companies backfill positions from declined offers. Fewer options but less competition.

## Already working? Find full-time roles.

Browse thousands of open positions at companies with strong engineering cultures, transparent values, and competitive compensation.

[Find full-time roles →](https://jobsbyculture.com/jobs)

---

## Document: AI & Tech Jobs Filtered by Culture | JobsByCulture

# AI & Tech Jobs Filtered by Culture | JobsByCulture

> Browse 13,896 AI & tech jobs filtered by culture values like async-first, work-life balance, remote-friendly, and ethical AI.

Source: https://jobsbyculture.com/jobs
Markdown: https://jobsbyculture.com/jobs.md
Last updated: 2026-07-14

---
Sort: Best Culture Match Sort: Glassdoor Rating Sort: Most Recent

View Full Culture Profile →

## Find your next role at a company you'll actually want to work at.

Every job on JobsByCulture is tagged with real culture data drawn from employee reviews — not just a company logo and a description. Filter by the values that actually matter to you: [remote-first](https://jobsbyculture.com/values/remote), [async communication](https://jobsbyculture.com/values/async), [deep work](https://jobsbyculture.com/values/deep-work), [psychological safety](https://jobsbyculture.com/values/psych-safety), [ethical AI](https://jobsbyculture.com/values/ethical-ai), [ship-fast culture](https://jobsbyculture.com/values/ship-fast), and 12 more. Every listing links to a full [company profile](https://jobsbyculture.com/companies) with Glassdoor ratings, work-life balance scores, and unfiltered pros and cons from the people who work there.

We index active roles from 118+ AI and tech companies — Anthropic, Stripe, Airbnb, Databricks, Cursor, OpenAI, Cohere, Hugging Face, and more — sourced live daily from each company's official careers page. Culture data refreshes from employee reviews weekly. No stale listings, no aggregator noise.

Browse by [culture value](https://jobsbyculture.com/values/remote), [role](https://jobsbyculture.com/roles/engineering), [company](https://jobsbyculture.com/companies), or [location](https://jobsbyculture.com/locations/london) — then use our [CV → job matcher](https://jobsbyculture.com/tools/job-matcher) to see which openings actually fit your background and the culture you want.

-   [Product Support Specialist at Anthropic](https://jobsbyculture.com/jobs/anthropic/product-support-specialist)

    New York City, NY; San Francisco, CA; Seattle, WA · Full-time · Posted 1d ago

-   [Field Marketing Manager, AUNZ at Stripe](https://jobsbyculture.com/jobs/stripe/field-marketing-manager-aunz)

    Sydney · Full-time · Posted 1d ago

-   [Legal Counsel, Commercial at Databricks](https://jobsbyculture.com/jobs/databricks/legal-counsel-commercial)

    Singapore · Full-time · Posted 1d ago

-   [Data Analyst at Stripe](https://jobsbyculture.com/jobs/stripe/data-analyst-rilq6)

    Bengaluru · Full-time · Posted 1d ago

-   [Research Engineer, Economic Research Data Platform at Anthropic](https://jobsbyculture.com/jobs/anthropic/research-engineer-economic-research-data-platform)

    San Francisco, CA · Full-time · Posted 1d ago

-   [Customer Success Manager, Fraud & Disputes at Stripe](https://jobsbyculture.com/jobs/stripe/customer-success-manager-fraud-disputes)

    Chicago, IL; Atlanta, GA · Full-time · Posted 1d ago

-   [Product Manager, Safeguards Rare Harms at Anthropic](https://jobsbyculture.com/jobs/anthropic/product-manager-safeguards-rare-harms)

    San Francisco, CA · Full-time · Posted 1d ago

-   [Staff Engineer, Storage Control Plane at Coreweave](https://jobsbyculture.com/jobs/coreweave/staff-engineer-storage-control-plane)

    Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA · Full-time · Posted 1d ago

-   [Senior Engineer, Storage Control Plane at Coreweave](https://jobsbyculture.com/jobs/coreweave/senior-engineer-storage-control-plane)

    Sunnyvale, CA / Bellevue, WA · Full-time · Posted 1d ago

-   [Safeguards Enforcement Analyst, Fraud & Scams at Anthropic](https://jobsbyculture.com/jobs/anthropic/safeguards-enforcement-analyst-fraud-scams)

    Remote-Friendly, United States; San Francisco, CA | New York City, NY | Washington, DC · Full-time · Posted 1d ago

-   [Safeguards Enforcement Analyst, Ban Evasion & Recidivism at Anthropic](https://jobsbyculture.com/jobs/anthropic/safeguards-enforcement-analyst-ban-evasion-recidivism)

    Remote-Friendly, United States; San Francisco, CA | New York City, NY | Washington, DC · Full-time · Posted 1d ago

-   [Anthropic Fellows Program at Anthropic](https://jobsbyculture.com/jobs/anthropic/anthropic-fellows-program)

    London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA · Full-time · Posted 1d ago

-   [Safeguards Enforcement Analyst, Account Takeover & Credential Abuse at Anthropic](https://jobsbyculture.com/jobs/anthropic/safeguards-enforcement-analyst-account-takeover-credential-abuse)

    Remote-Friendly, United States; San Francisco, CA | New York City, NY | Washington, DC · Full-time · Posted 1d ago

-   [Safeguards Enforcement Analyst, Access Controls & Identity at Anthropic](https://jobsbyculture.com/jobs/anthropic/safeguards-enforcement-analyst-access-controls-identity)

    Remote-Friendly, United States; San Francisco, CA | New York City, NY | Washington, DC · Full-time · Posted 1d ago

-   [Forward Deployed Software Engineer, Public Sector at Scale](https://jobsbyculture.com/jobs/scale/forward-deployed-software-engineer-public-sector)

    St. Louis, MO; Washington, DC · Full-time · Posted 1d ago

-   [Risk PMO Program Manager at Stripe](https://jobsbyculture.com/jobs/stripe/risk-pmo-program-manager)

    US-Remote · Full-time · Posted 1d ago

-   [Product Manager, Multi-Cloud Growth - Google at Anthropic](https://jobsbyculture.com/jobs/anthropic/product-manager-multi-cloud-growth-google)

    San Francisco, CA · Full-time · Posted 1d ago

-   [Account Manager - Engaged at Coreweave](https://jobsbyculture.com/jobs/coreweave/account-manager-engaged)

    Toronto, ON · Full-time · Posted 1d ago

-   [AI Engineer - FDE (Forward Deployed Engineer) at Databricks](https://jobsbyculture.com/jobs/databricks/ai-engineer-fde-forward-deployed-engineer-wdhxu)

    Tokyo, Japan · Full-time · Posted 1d ago

-   [Staff Software Engineer, Stream Compute at Stripe](https://jobsbyculture.com/jobs/stripe/staff-software-engineer-stream-compute)

    San Francisco, Seattle, New York, Toronto · Full-time · Posted 1d ago

-   [Technical Operations Engineer, Payments at Stripe](https://jobsbyculture.com/jobs/stripe/technical-operations-engineer-payments)

    South San Francisco · Full-time · Posted 1d ago

-   [Strategic Partner Development, Product Partnerships - Cybersecurity at Anthropic](https://jobsbyculture.com/jobs/anthropic/strategic-partner-development-product-partnerships-cybersecurity)

    San Francisco, CA | New York City, NY · Full-time · Posted 1d ago

-   [Sr. Solutions Architect at Databricks](https://jobsbyculture.com/jobs/databricks/sr-solutions-architect-3d5p7)

    Auckland, New Zealand · Full-time · Posted 1d ago

-   [AEO and GEO Marketing Manager at Stripe](https://jobsbyculture.com/jobs/stripe/aeo-and-geo-marketing-manager)

    Remote in the US · Full-time · Posted 1d ago

-   [Sr. Counsel, Product at Databricks](https://jobsbyculture.com/jobs/databricks/sr-counsel-product)

    Bellevue, Washington; Seattle, Washington; Washington, D.C. · Full-time · Posted 1d ago

-   [Forward Deployed AI Accelerator, Marketing at Stripe](https://jobsbyculture.com/jobs/stripe/forward-deployed-ai-accelerator-marketing-pho9x)

    Seattle, San Francisco · Full-time · Posted 1d ago

-   [Forward Deployed AI Accelerator, Marketing at Stripe](https://jobsbyculture.com/jobs/stripe/forward-deployed-ai-accelerator-marketing-kmp5p)

    Remote in the US · Full-time · Posted 1d ago

-   [Research Engineer, Chip Design RL (Reinforcement Learning) at Anthropic](https://jobsbyculture.com/jobs/anthropic/research-engineer-chip-design-rl-reinforcement-learning)

    San Francisco, CA | New York City, NY · Full-time · Posted 1d ago

-   [Full Stack Engineer, Support Experience at Stripe](https://jobsbyculture.com/jobs/stripe/full-stack-engineer-support-experience)

    Toronto · Full-time · Posted 1d ago

-   [Full Stack Engineer, Link at Stripe](https://jobsbyculture.com/jobs/stripe/full-stack-engineer-link)

    New York, New York · Full-time · Posted 1d ago

-   [Finance Transformation, Senior Manager at Coreweave](https://jobsbyculture.com/jobs/coreweave/finance-transformation-senior-manager)

    Dallas, TX · Full-time · Posted 1d ago

-   [Backend Engineer, Financial Connections at Stripe](https://jobsbyculture.com/jobs/stripe/backend-engineer-financial-connections)

    Toronto · Full-time · Posted 1d ago

-   [Brand Media Lead at Airbnb](https://jobsbyculture.com/jobs/airbnb/brand-media-lead)

    United States · Full-time · Posted 1d ago

-   [Machine Learning Engineer, Relevance and Personalization at Airbnb](https://jobsbyculture.com/jobs/airbnb/machine-learning-engineer-relevance-and-personalization)

    United States · Full-time · Posted 1d ago

-   [Delivery Lead (Intelligence Community), Public Sector at Scale](https://jobsbyculture.com/jobs/scale/delivery-lead-intelligence-community-public-sector)

    Columbia, MD · Full-time · Posted 1d ago

-   [Staff+ Software Engineer, Backend at Anthropic](https://jobsbyculture.com/jobs/anthropic/staff-software-engineer-backend)

    San Francisco, CA | New York City, NY | Seattle, WA · Full-time · Posted 1d ago

-   [Staff+ Software Engineer, Platform at Anthropic](https://jobsbyculture.com/jobs/anthropic/staff-software-engineer-platform)

    San Francisco, CA | New York City, NY | Seattle, WA · Full-time · Posted 1d ago

-   [Credit Risk Operations Associate (CDMX) at Stripe](https://jobsbyculture.com/jobs/stripe/credit-risk-operations-associate-cdmx)

    Mexico City · Full-time · Posted 1d ago

-   [Senior Programs & Business Operations Lead, Airbnb Services at Airbnb](https://jobsbyculture.com/jobs/airbnb/senior-programs-business-operations-lead-airbnb-services)

    United States · Full-time · Posted 1d ago

-   [Designer Advocate, Partnerships at Figma](https://jobsbyculture.com/jobs/figma/designer-advocate-partnerships)

    San Francisco, CA · Full-time · Posted 1d ago

-   [Staff Software Engineer, Network Development at Coreweave](https://jobsbyculture.com/jobs/coreweave/staff-software-engineer-network-development)

    Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA · Full-time · Posted 1d ago

-   [Fraud Operations Associate SDC at Stripe](https://jobsbyculture.com/jobs/stripe/fraud-operations-associate-sdc)

    Mexico City · Full-time · Posted 1d ago

-   [Senior Treasury Analyst at Coreweave](https://jobsbyculture.com/jobs/coreweave/senior-treasury-analyst)

    New York, NY · Full-time · Posted 1d ago

-   [Global Law Enforcement Operations Enablement Manager at Airbnb](https://jobsbyculture.com/jobs/airbnb/global-law-enforcement-operations-enablement-manager)

    United States · Full-time · Posted 1d ago

-   [Staff Engineer, Deployment Platform at Stripe](https://jobsbyculture.com/jobs/stripe/staff-engineer-deployment-platform)

    Seattle · Full-time · Posted 1d ago

-   [Staff Security Software Engineer, AI Security at Databricks](https://jobsbyculture.com/jobs/databricks/staff-security-software-engineer-ai-security)

    Remote - California · Full-time · Posted 1d ago

-   [Senior Software Engineer - Money Team at Databricks](https://jobsbyculture.com/jobs/databricks/senior-software-engineer-money-team)

    Bellevue, Washington · Full-time · Posted 1d ago

-   [Technical Sourcing Manager, Storage and Components at Coreweave](https://jobsbyculture.com/jobs/coreweave/technical-sourcing-manager-storage-and-components)

    Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA · Full-time · Posted 1d ago

-   [Staff Platform Manager, Quality at Airbnb](https://jobsbyculture.com/jobs/airbnb/staff-platform-manager-quality)

    Remote - United States · Full-time · Posted 1d ago

-   [Strategic Enterprise Account Executive - Insurance at Databricks](https://jobsbyculture.com/jobs/databricks/strategic-enterprise-account-executive-insurance)

    London, United Kingdom · Full-time · Posted 1d ago

---

## Document: AI & Tech Layoff Tracker 2026 — Live Data | JobsByCulture

# AI & Tech Layoff Tracker 2026 — Live Data | JobsByCulture

> Track every AI & tech layoff in 2026. Live data on 150,000+ affected workers across 140+ companies. See which companies are cutting — and which are still safe to join.

Source: https://jobsbyculture.com/layoff-tracker
Markdown: https://jobsbyculture.com/layoff-tracker.md
Last updated: 2026-07-14

---
Live Tracker — Updated Daily

# AI & Tech _Layoff Tracker_

Every tech layoff tracked with culture context. See which companies are cutting — and which are still safe to join.

150,000+

workers affected in 2026

140+

companies with layoffs

20

tracked events



 All Industries All Stages Public Private All Sizes 10,000+ workers 1,000-9,999 100-999 Under 100

Showing 20 events Sort by: Date (newest) Date (oldest) Headcount (largest) % of workforce Company (A-Z)

Company

Date

Laid Off

% Cut

Industry

HQ

Stage

Culture Profile

## Monthly Breakdown — 2026

## Worried about layoffs? Find stable companies.

Our culture profiles show Glassdoor ratings, employee sentiment, and growth signals — so you can tell which companies are safe to join.

[Browse 13,836 Open Jobs →](https://jobsbyculture.com/jobs) [View Company Profiles](https://jobsbyculture.com/companies)

---

## Document: AI & Tech Jobs in Amsterdam | JobsByCulture

# AI & Tech Jobs in Amsterdam | JobsByCulture

> Browse 143 AI & tech jobs in Amsterdam at 13 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/amsterdam
Markdown: https://jobsbyculture.com/locations/amsterdam.md
Last updated: 2026-07-14

---
Europe

# 🇳🇱 _Amsterdam_ Jobs

Amsterdam is a key European tech hub with an international workforce, strong English proficiency, and a high quality of life. Growing AI presence with competitive compensation and a vibrant startup ecosystem.

143

Open Roles

13

Companies

9

Role Types

## Companies hiring in _Amsterdam_

[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Jobs by role in Amsterdam

Engineering56

Sales / GTM36

Product9

Data6

Marketing5

HR / People4

Operations4

Finance3

ML / AI2

## Latest jobs in Amsterdam

[![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Account Manager

Adyen · Amsterdam

›](https://jobsbyculture.com/jobs/adyen/account-manager-a2u6m) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

AI Solutions Architect (Pre-sales) - Strategic Accounts

Databricks · Amsterdam, Netherlands

›](https://jobsbyculture.com/jobs/databricks/ai-solutions-architect-pre-sales-strategic-accounts) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Commercial Account Executive (France)

Datadog · Amsterdam, The Netherlands; Dublin, Ireland

›](https://jobsbyculture.com/jobs/datadog/commercial-account-executive-france) [![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Account Executive, Enterprise

Flexport · Amsterdam, Netherlands

›](https://jobsbyculture.com/jobs/flexport/account-executive-enterprise-8ht7j) [![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

AI infrastructure Engineer (SRE) Amsterdam

Together AI · Amsterdam

›](https://jobsbyculture.com/jobs/together/ai-infrastructure-engineer-sre-amsterdam) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Client Value Partner - Digital Technology

Celonis · Amsterdam, Netherlands

›](https://jobsbyculture.com/jobs/celonis/client-value-partner-digital-technology) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Customer Success Manager

MongoDB · Amsterdam

›](https://jobsbyculture.com/jobs/mongodb/customer-success-manager-31qn5) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Sales Development Representative

Snowflake · NL-Amsterdam

›](https://jobsbyculture.com/jobs/snowflake/sales-development-representative-o4reo) [![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

Deployed Engineer (Amsterdam)

LangChain · Amsterdam

›](https://jobsbyculture.com/jobs/langchain/deployed-engineer-amsterdam) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Deployment Strategist

Palantir · Amsterdam, Netherlands

›](https://jobsbyculture.com/jobs/palantir/deployment-strategist-jc251) [![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Senior Agile Client Account Executive - EMEA

Reddit · Amsterdam, Netherlands

›](https://jobsbyculture.com/jobs/reddit/senior-agile-client-account-executive-emea) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Integration Engineer (Client facing), Professional Services

Stripe · Amsterdam

›](https://jobsbyculture.com/jobs/stripe/integration-engineer-client-facing-professional-services-3ohni) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Senior Enterprise Account Executive

Navan · Amsterdam, NL

›](https://jobsbyculture.com/jobs/navan/senior-enterprise-account-executive) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Accounts Payable Team Lead

Adyen · Amsterdam

›](https://jobsbyculture.com/jobs/adyen/accounts-payable-team-lead) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Delivery Solutions Architect

Databricks · Amsterdam, Netherlands

›](https://jobsbyculture.com/jobs/databricks/delivery-solutions-architect-173dv) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Customer Success Manager (French Speaking)

Datadog · Amsterdam, The Netherlands; Dublin, Ireland

›](https://jobsbyculture.com/jobs/datadog/customer-success-manager-french-speaking) [![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Associate Manager, Customs

Flexport · Amsterdam, Netherlands

›](https://jobsbyculture.com/jobs/flexport/associate-manager-customs) [![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Lead/Manager Site Reliability Engineering Team (Amsterdam)

Together AI · Amsterdam

›](https://jobsbyculture.com/jobs/together/lead-manager-site-reliability-engineering-team-amsterdam) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Enterprise Account Executive Benelux CPG & Retail

Celonis · Amsterdam, Netherlands

›](https://jobsbyculture.com/jobs/celonis/enterprise-account-executive-benelux-cpg-retail) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Enterprise Account Executive

MongoDB · Amsterdam

›](https://jobsbyculture.com/jobs/mongodb/enterprise-account-executive-g9pw4) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Account Executive

Snowflake · NL-Amsterdam

›](https://jobsbyculture.com/jobs/snowflake/account-executive-ovhg4) [![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

Solutions Architect (Amsterdam)

LangChain · Amsterdam

›](https://jobsbyculture.com/jobs/langchain/solutions-architect-amsterdam) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Forward Deployed Software Engineer

Palantir · Amsterdam, Netherlands

›](https://jobsbyculture.com/jobs/palantir/forward-deployed-software-engineer-m73lk) [![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Senior Client Partner, Acquisitions DACH

Reddit · Amsterdam, Netherlands

›](https://jobsbyculture.com/jobs/reddit/senior-client-partner-acquisitions-dach) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

AI Transformation Manager - Finance

Adyen · Amsterdam

›](https://jobsbyculture.com/jobs/adyen/ai-transformation-manager-finance)

[View all 143 jobs →](https://jobsbyculture.com/jobs?search=Amsterdam)

## Working in AI & tech in Amsterdam

Amsterdam is a key European tech hub with an international workforce, strong English proficiency, and a high quality of life. Growing AI presence with competitive compensation and a vibrant startup ecosystem.

JobsByCulture tracks 143 open positions across 13 companies in Amsterdam. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Austin | JobsByCulture

# AI & Tech Jobs in Austin | JobsByCulture

> Browse 155 AI & tech jobs in Austin at 19 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/austin
Markdown: https://jobsbyculture.com/locations/austin.md
Last updated: 2026-07-14

---
US South

# 🤠 _Austin_ Jobs

Austin has become a magnet for tech companies relocating or expanding, with no state income tax, a strong quality of life, and a growing AI/ML community. Several AI companies have established offices here.

155

Open Roles

19

Companies

8

Role Types

## Companies hiring in _Austin_

[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Large (~800) · Glassdoor 3.7/5

Ship Fast & Iterate Remote-Friendly Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/apollo)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

DeepL

Large (~1,570) · Glassdoor 2.9/5

Work-Life Balance Flexible Hours Diverse & Inclusive Direct Product Impact

](https://jobsbyculture.com/companies/deepl)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)[

![DevRev](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

DevRev

Mid (~800) · Glassdoor 4.1/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/devrev)

## Jobs by role in Austin

Engineering52

Sales / GTM46

Design7

Marketing5

HR / People4

Operations4

Product3

Finance1

## Latest jobs in Austin

[![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

AI/ML Physical Design Flow Engineer

Tenstorrent · Austin, Texas, United States; Fort Collins, Colorado, United States; Santa Clara, California, United States

›](https://jobsbyculture.com/jobs/tenstorrent/ai-ml-physical-design-flow-engineer) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Account Development Representative

MongoDB · Austin

›](https://jobsbyculture.com/jobs/mongodb/account-development-representative-op8z7) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Account Manager, Commercial

Navan · Austin, TX

›](https://jobsbyculture.com/jobs/navan/account-manager-commercial-q123c) [![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Account Executive- Startups, Greenfield

Vercel · Hybrid - San Francisco, New York City, Austin

›](https://jobsbyculture.com/jobs/vercel/account-executive-startups-greenfield) [![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Account Executive, SLED

Airtable · Austin, TX; Remote - US

›](https://jobsbyculture.com/jobs/airtable/account-executive-sled) [![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

Developer Growth, API & Agentic AI Products

DeepL · Austin

›](https://jobsbyculture.com/jobs/deepl/developer-growth-api-agentic-ai-products) [![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Accounts Receivable Analyst

Synthesia · Austin

›](https://jobsbyculture.com/jobs/synthesia/accounts-receivable-analyst) [![DevRev](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

Director/Senior Director, GSI Partnerships – North America

DevRev · Austin, Texas, United States

›](https://jobsbyculture.com/jobs/devrev/director-senior-director-gsi-partnerships-north-america) [![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Account Executive, SMB

Apollo.io · Hybrid, Austin

›](https://jobsbyculture.com/jobs/apollo/account-executive-smb-74icp) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Sr. Forward Deployed Engineer - Communications, Media, Entertainment & Games

Databricks · Austin, Texas

›](https://jobsbyculture.com/jobs/databricks/sr-forward-deployed-engineer-communications-media-entertainment-games-ddtl4) [![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Senior Sales Engineer

Amplitude · Arlington, VA; Atlanta, GA; Austin, TX; Boston, MA; Charlotte, NC; Chicago, IL; Dallas, TX; Houston, TX; Indianapolis, Indiana; Kansas City, Missouri; Minneapolis, Minnesota; New York, NY; Philadelphia, PA; St Louis, Missouri

›](https://jobsbyculture.com/jobs/amplitude/senior-sales-engineer) [![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Inside Account Executive (Hunter)

Elastic · Austin, TX

›](https://jobsbyculture.com/jobs/elastic/inside-account-executive-hunter-kpz0i) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Austin, TX Strategic Cuisines District Manager- Spanish

Toast · Austin, TX

›](https://jobsbyculture.com/jobs/toast/austin-tx-strategic-cuisines-district-manager-spanish) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, Enterprise Platforms, Hunter

Stripe · New York, NY; San Francisco, CA; Seattle, WA; Los Angeles, CA; Denver, CO; Austin, TX; US-West Remote

›](https://jobsbyculture.com/jobs/stripe/account-executive-enterprise-platforms-hunter) [![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

Solutions Architect (Austin)

LangChain · Austin, TX

›](https://jobsbyculture.com/jobs/langchain/solutions-architect-austin) [![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

Data Center Security Specialist - Austin

CoreWeave · Austin, TX

›](https://jobsbyculture.com/jobs/coreweave/data-center-security-specialist-austin) [![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Partner Solutions Architect- Service Providers

Cloudflare · Austin, TX

›](https://jobsbyculture.com/jobs/cloudflare/partner-solutions-architect-service-providers) [![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Commercial Account Executive, Central

Glean · Austin, TX

›](https://jobsbyculture.com/jobs/glean/commercial-account-executive-central) [![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Regional Sales Director

Cognition · San Francisco, Austin, New York City

›](https://jobsbyculture.com/jobs/cognition/regional-sales-director) [![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

CPU Core Design Verification Testbench Lead

Tenstorrent · Austin, Texas, United States; Santa Clara, California, United States

›](https://jobsbyculture.com/jobs/tenstorrent/cpu-core-design-verification-testbench-lead) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Engineering Manager, Query Integration

MongoDB · Austin; New York City; Palo Alto; San Francisco; United States

›](https://jobsbyculture.com/jobs/mongodb/engineering-manager-query-integration) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Associate Account Executive

Navan · Austin, TX

›](https://jobsbyculture.com/jobs/navan/associate-account-executive-3ohqf) [![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Commercial Account Executive, Greenfield

Vercel · Hybrid - San Francisco, New York City, Austin

›](https://jobsbyculture.com/jobs/vercel/commercial-account-executive-greenfield) [![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Delivery Consultant- West Coast

Airtable · San Francisco, CA; Austin, TX; Remote - US

›](https://jobsbyculture.com/jobs/airtable/delivery-consultant-west-coast) [![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

Sales Development Representative | US

DeepL · Austin

›](https://jobsbyculture.com/jobs/deepl/sales-development-representative-us)

[View all 155 jobs →](https://jobsbyculture.com/jobs?search=Austin)

## Working in AI & tech in Austin

Austin has become a magnet for tech companies relocating or expanding, with no state income tax, a strong quality of life, and a growing AI/ML community. Several AI companies have established offices here.

JobsByCulture tracks 155 open positions across 19 companies in Austin. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Bengaluru | JobsByCulture

# AI & Tech Jobs in Bengaluru | JobsByCulture

> Browse 370 AI & tech jobs in Bengaluru at 28 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/bengaluru
Markdown: https://jobsbyculture.com/locations/bengaluru.md
Last updated: 2026-07-14

---
Asia Pacific

# 🇮🇳 _Bengaluru_ Jobs

India's tech capital is a growing hub for AI engineering teams. Major companies are building substantial engineering offices here, with competitive local compensation and opportunities to work on global-scale AI products.

370

Open Roles

28

Companies

11

Role Types

## Companies hiring in _Bengaluru_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

GitLab

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Async-First Transparent Open Source

](https://jobsbyculture.com/companies/gitlab)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Lambda

Mid (~500) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/lambda)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)[

![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Cartesia

Small (~90) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/cartesia)[

![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

LaunchDarkly

Mid (~590) · Glassdoor 3.8/5

Engineering-Driven Work-Life Balance Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/launchdarkly)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)[

![DevRev](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

DevRev

Mid (~800) · Glassdoor 4.1/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/devrev)

## Jobs by role in Bengaluru

Engineering199

Sales / GTM42

Data15

Operations14

Product14

Finance12

Design10

ML / AI5

HR / People4

Legal4

Marketing2

## Latest jobs in Bengaluru

[![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Audit Analytics & Transformation Analyst

Okta · Bengaluru, India

›](https://jobsbyculture.com/jobs/okta/audit-analytics-transformation-analyst) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Account Executive

Databricks · Bengaluru, India; Mumbai, India

›](https://jobsbyculture.com/jobs/databricks/account-executive) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Accounts Receivable Manager

Stripe · Bengaluru

›](https://jobsbyculture.com/jobs/stripe/accounts-receivable-manager) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Applied Value Engineer- CPGR/CMT-NAM

Celonis · Bangalore, India

›](https://jobsbyculture.com/jobs/celonis/applied-value-engineer-cpgr-cmt-nam) [![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

AI Success Manager (US East Customer Hours)

Glean · Bangalore, India

›](https://jobsbyculture.com/jobs/glean/ai-success-manager-us-east-customer-hours) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Capital Underwriting Specialist II

Toast · Bangalore

›](https://jobsbyculture.com/jobs/toast/capital-underwriting-specialist-ii) [![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Accountant

Elastic · Bangalore, India

›](https://jobsbyculture.com/jobs/elastic/accountant) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Staff Software Engineer - Developer Experience (DevEx)

Harvey · Bengaluru

›](https://jobsbyculture.com/jobs/harvey/staff-software-engineer-developer-experience-devex) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Associate Field Marketing Manager

Datadog · Bangalore, India

›](https://jobsbyculture.com/jobs/datadog/associate-field-marketing-manager) [![DevRev](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

Account Executive – Field Sales

DevRev · Bangalore, India

›](https://jobsbyculture.com/jobs/devrev/account-executive-field-sales-t63vw) [![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Data Annotator

Samsara · Bengaluru - BLR1

›](https://jobsbyculture.com/jobs/samsara/data-annotator) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Account Executive, Acquisition/Growth

MongoDB · Bengaluru; Gurugram; Mumbai

›](https://jobsbyculture.com/jobs/mongodb/account-executive-acquisition-growth) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Associate Account Executive

Navan · Bengaluru, IN

›](https://jobsbyculture.com/jobs/navan/associate-account-executive-nqsgy) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Engineering Manager - Infrastructure Services

Adyen · Bengaluru

›](https://jobsbyculture.com/jobs/adyen/engineering-manager-infrastructure-services) [![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

Director, Engineering, Platform Operations & Productivity

GitLab · Remote, Bangalore

›](https://jobsbyculture.com/jobs/gitlab/director-engineering-platform-operations-productivity) [![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Business Development Lead, India

Tenstorrent · Bengaluru, Karnataka, India

›](https://jobsbyculture.com/jobs/tenstorrent/business-development-lead-india) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Senior Business Solutions Engineer, BizTech

Airbnb · Bangalore, India

›](https://jobsbyculture.com/jobs/airbnb/senior-business-solutions-engineer-biztech) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Enterprise Account Executive - Expansion

Snowflake · IN-Bangalore-MSO

›](https://jobsbyculture.com/jobs/snowflake/enterprise-account-executive-expansion-7y371) [![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Founding Forward Deployed Engineer (India)

Cartesia · Bangalore

›](https://jobsbyculture.com/jobs/cartesia/founding-forward-deployed-engineer-india) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Corporate Communication Lead

Anthropic · Bangalore, India

›](https://jobsbyculture.com/jobs/anthropic/corporate-communication-lead) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Account Executive, Enterprise (Bengaluru, India)

Figma · Bengaluru, India

›](https://jobsbyculture.com/jobs/figma/account-executive-enterprise-bengaluru-india) [![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Senior Finance Systems Analyst (Bangalore)

Lambda · Bangalore, India

›](https://jobsbyculture.com/jobs/lambda/senior-finance-systems-analyst-bangalore) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive- Corporate/Enterprise

HubSpot · Office - Bengaluru, India

›](https://jobsbyculture.com/jobs/hubspot/account-executive-corporate-enterprise) [![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

AI infrastructure Engineer (SRE) Bangalore

Together AI · Bangalore, India

›](https://jobsbyculture.com/jobs/together/ai-infrastructure-engineer-sre-bangalore) [![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Senior Customer Success Architect

Amplitude · Bangalore, India

›](https://jobsbyculture.com/jobs/amplitude/senior-customer-success-architect)

[View all 370 jobs →](https://jobsbyculture.com/jobs?search=Bengaluru)

## Working in AI & tech in Bengaluru

India's tech capital is a growing hub for AI engineering teams. Major companies are building substantial engineering offices here, with competitive local compensation and opportunities to work on global-scale AI products.

JobsByCulture tracks 370 open positions across 28 companies in Bengaluru. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Berlin | JobsByCulture

# AI & Tech Jobs in Berlin | JobsByCulture

> Browse 168 AI & tech jobs in Berlin at 20 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/berlin
Markdown: https://jobsbyculture.com/locations/berlin.md
Last updated: 2026-07-14

---
Europe

# 🇩🇪 _Berlin_ Jobs

Berlin is one of Europe's most dynamic tech hubs, known for its startup culture and international talent. Growing AI presence with competitive compensation and a strong quality of life.

168

Open Roles

20

Companies

11

Role Types

## Companies hiring in _Berlin_

[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Contentful

Large (~1,000) · Glassdoor 3.4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/contentful)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Mid (~300) · Glassdoor 4.5/5

Remote-Friendly Open Source Flat Hierarchy Transparent

](https://jobsbyculture.com/companies/n8n)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Jobs by role in Berlin

Engineering52

Sales / GTM50

Marketing11

HR / People8

ML / AI7

Product6

Design5

Operations4

Finance1

Legal1

Data1

## Latest jobs in Berlin

[![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Account Executive - Berlin (x/f/m)

Doctolib · Berlin, Berlin, Germany

›](https://jobsbyculture.com/jobs/doctolib/account-executive-berlin-x-f-m) [![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

AI Research Engineer - 3D Computer Vision

Helsing · Berlin; London; Munich; Paris

›](https://jobsbyculture.com/jobs/helsing/ai-research-engineer-3d-computer-vision) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Account Executive DACH

Navan · Berlin, Germany

›](https://jobsbyculture.com/jobs/navan/account-executive-dach) [![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

Technical Account Manager (Remote Europe)

n8n · Berlin Office

›](https://jobsbyculture.com/jobs/n8n/technical-account-manager-remote-europe) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

AWS Cloud Partner Solutions Architect — EMEA

Databricks · Berlin, Germany; Munich, Germany

›](https://jobsbyculture.com/jobs/databricks/aws-cloud-partner-solutions-architect-emea-dbjg6) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive - Mid Market, DACH

HubSpot · Berlin, Germany

›](https://jobsbyculture.com/jobs/hubspot/account-executive-mid-market-dach) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Senior Support Engineer

Snowflake · DE-Berlin-Trion Building

›](https://jobsbyculture.com/jobs/snowflake/senior-support-engineer) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Acquisition Manager

Airbnb · Berlin, Germany

›](https://jobsbyculture.com/jobs/airbnb/acquisition-manager-h2pop) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Account Executive, Emerging Enterprise (Berlin, Germany)

Figma · Berlin, Germany

›](https://jobsbyculture.com/jobs/figma/account-executive-emerging-enterprise-berlin-germany) [![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Forward-Deployed Engineer

Vercel · Hybrid - London, Berlin

›](https://jobsbyculture.com/jobs/vercel/forward-deployed-engineer-3d45m) [![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Senior Forward Deployed Engineer (AI Agent) - Germany

Cresta · Berlin, Germany (Hybird)

›](https://jobsbyculture.com/jobs/cresta/senior-forward-deployed-engineer-ai-agent-germany) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Partner Development Manager

Stripe · Germany, Berlin, Munich

›](https://jobsbyculture.com/jobs/stripe/partner-development-manager) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Account Manager

Adyen · Berlin

›](https://jobsbyculture.com/jobs/adyen/account-manager-q73pv) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Enterprise Account Executive, Growth

MongoDB · Berlin; Frankfurt; Munich

›](https://jobsbyculture.com/jobs/mongodb/enterprise-account-executive-growth-xa3x9) [![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

AI Design Leader

Intercom · Berlin, Germany; Dublin, Ireland; London, England

›](https://jobsbyculture.com/jobs/intercom/ai-design-leader) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Senior Principal Software Engineer, AI Agents (Dublin, Ireland)

Toast · Berlin, Germany

›](https://jobsbyculture.com/jobs/toast/senior-principal-software-engineer-ai-agents-dublin-ireland-8s9xb) [![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Agency Development Lead, DACH

Reddit · Berlin, Germany

›](https://jobsbyculture.com/jobs/reddit/agency-development-lead-dach) [![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

VP Sales, EMEA

Cohere · Berlin

›](https://jobsbyculture.com/jobs/cohere/vp-sales-emea) [![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Fullstack Software Engineer (f/m/d)

Contentful · Berlin, Berlin, Germany

›](https://jobsbyculture.com/jobs/contentful/fullstack-software-engineer-f-m-d-2wul2) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Marketing Manager, Brand Experience

Spotify · Berlin

›](https://jobsbyculture.com/jobs/spotify/marketing-manager-brand-experience) [![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Customer Success Representative (x/f/m)

Doctolib · Berlin, Berlin, Germany

›](https://jobsbyculture.com/jobs/doctolib/customer-success-representative-x-f-m) [![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

AI Research Engineer - AI Safety

Helsing · Berlin; London; Munich

›](https://jobsbyculture.com/jobs/helsing/ai-research-engineer-ai-safety) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Associate Account Executive

Navan · Berlin, Germany

›](https://jobsbyculture.com/jobs/navan/associate-account-executive-pce6i) [![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

Engineering Manager, Core Platform | Remote | Europe

n8n · Berlin Office

›](https://jobsbyculture.com/jobs/n8n/engineering-manager-core-platform-remote-europe) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Senior Software Engineer - Backend

Databricks · Berlin, Germany

›](https://jobsbyculture.com/jobs/databricks/senior-software-engineer-backend-l7y1q)

[View all 168 jobs →](https://jobsbyculture.com/jobs?search=Berlin)

## Working in AI & tech in Berlin

Berlin is one of Europe's most dynamic tech hubs, known for its startup culture and international talent. Growing AI presence with competitive compensation and a strong quality of life.

JobsByCulture tracks 168 open positions across 20 companies in Berlin. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Boston | JobsByCulture

# AI & Tech Jobs in Boston | JobsByCulture

> Browse 170 AI & tech jobs in Boston at 20 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/boston
Markdown: https://jobsbyculture.com/locations/boston.md
Last updated: 2026-07-14

---
US East Coast

# 🎓 _Boston_ Jobs

Boston's AI ecosystem is powered by MIT, Harvard, and a deep biotech-to-AI talent pipeline. Home to growing engineering offices for major AI companies and a thriving startup scene in Kendall Square and the Seaport.

170

Open Roles

20

Companies

10

Role Types

## Companies hiring in _Boston_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Mid (~300) · Glassdoor 4.5/5

Remote-Friendly Open Source Flat Hierarchy Transparent

](https://jobsbyculture.com/companies/n8n)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Lightmatter

Mid (~300) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lightmatter)[

![Benchling](https://www.google.com/s2/favicons?domain=benchling.com&sz=128)

Benchling

Mid (~800) · Glassdoor 3.5/5

Engineering-Driven Mission-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/benchling)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)

## Jobs by role in Boston

Sales / GTM62

Engineering53

Product10

HR / People6

ML / AI4

Operations4

Data3

Support1

Marketing1

Design1

## Latest jobs in Boston

[![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Area Vice President, Sales Engineering

Datadog · Boston, Massachusetts, USA; New York, New York, USA; San Francisco, California, USA

›](https://jobsbyculture.com/jobs/datadog/area-vice-president-sales-engineering) [![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Analog IC Design Engineer, AMS

Lightmatter · Boston, MA; Mountain View, CA

›](https://jobsbyculture.com/jobs/lightmatter/analog-ic-design-engineer-ams) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Customer Success Manager

MongoDB · Boston

›](https://jobsbyculture.com/jobs/mongodb/customer-success-manager-mc4no) [![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Machine Learning Scientist

Suno · Boston

›](https://jobsbyculture.com/jobs/suno/machine-learning-scientist) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Capital Markets Principal

Toast · Boston, MA

›](https://jobsbyculture.com/jobs/toast/capital-markets-principal-hjsve) [![Benchling](https://www.google.com/s2/favicons?domain=benchling.com&sz=128)

Enterprise Solutions Architect

Benchling · Boston, MA

›](https://jobsbyculture.com/jobs/benchling/enterprise-solutions-architect) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Enterprise Account Executive - Financial Services

Databricks · Boston, Massachusetts; New Jersey; New York City, New York

›](https://jobsbyculture.com/jobs/databricks/enterprise-account-executive-financial-services-bts2o) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Director, Deal Desk

Navan · Austin, TX; Boston, MA; New York, NY; Palo Alto, CA or San Francisco, CA

›](https://jobsbyculture.com/jobs/navan/director-deal-desk) [![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Solutions Architect, San Francisco

Lovable · Boston

›](https://jobsbyculture.com/jobs/lovable/solutions-architect-san-francisco) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Applied AI Architect, Enterprise Tech

Anthropic · Boston, MA; New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA

›](https://jobsbyculture.com/jobs/anthropic/applied-ai-architect-enterprise-tech) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Outbound Business Development Representative (BDR)

HubSpot · Cambridge, MA, USA

›](https://jobsbyculture.com/jobs/hubspot/outbound-business-development-representative-bdr-fw6ty) [![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Senior Sales Engineer

Amplitude · Arlington, VA; Atlanta, GA; Austin, TX; Boston, MA; Charlotte, NC; Chicago, IL; Dallas, TX; Houston, TX; Indianapolis, Indiana; Kansas City, Missouri; Minneapolis, Minnesota; New York, NY; Philadelphia, PA; St Louis, Missouri

›](https://jobsbyculture.com/jobs/amplitude/senior-sales-engineer) [![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

Sales Development Manager

n8n · Boston

›](https://jobsbyculture.com/jobs/n8n/sales-development-manager) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Solutions Architect

Snowflake · US-MA-Boston

›](https://jobsbyculture.com/jobs/snowflake/solutions-architect-59o6r) [![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

HR Project Manager, People Programs - Contractor

Tenstorrent · Austin, Texas, United States; Boston, Massachusetts, United States; Santa Clara, California, United States; Toronto, Ontario, Canada

›](https://jobsbyculture.com/jobs/tenstorrent/hr-project-manager-people-programs-contractor) [![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

Deployed Engineer (Boston)

LangChain · Boston, MA

›](https://jobsbyculture.com/jobs/langchain/deployed-engineer-boston) [![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Director, Total Rewards

Cohere · Boston

›](https://jobsbyculture.com/jobs/cohere/director-total-rewards) [![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Account Executive, Commercial

Samsara · Boston, MA

›](https://jobsbyculture.com/jobs/samsara/account-executive-commercial-x9g4b) [![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Strategic Account Executive, New England

Glean · Boston, MA

›](https://jobsbyculture.com/jobs/glean/strategic-account-executive-new-england) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Technical Consultant, Auth0

Okta · Bellevue, Washington; Boston, Massachusetts; Chicago, Illinois; Los Angeles, California; New York, New York; San Francisco, California; Texas

›](https://jobsbyculture.com/jobs/okta/technical-consultant-auth0) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Commercial Account Executive - Boston

Datadog · Boston, Massachusetts, USA

›](https://jobsbyculture.com/jobs/datadog/commercial-account-executive-boston) [![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Analog/Mixed Signal Architect

Lightmatter · Boston, MA; Mountain View, CA

›](https://jobsbyculture.com/jobs/lightmatter/analog-mixed-signal-architect-fs70z) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Enterprise Account Executive, Growth

MongoDB · Boston; New York City; Pennsylvania

›](https://jobsbyculture.com/jobs/mongodb/enterprise-account-executive-growth-69v4a) [![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Senior / Staff Software Engineer, AI Engineering

Suno · Boston

›](https://jobsbyculture.com/jobs/suno/senior-staff-software-engineer-ai-engineering) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Capital Servicing Specialist I

Toast · Remote, US or Boston, MA (hybrid)

›](https://jobsbyculture.com/jobs/toast/capital-servicing-specialist-i)

[View all 170 jobs →](https://jobsbyculture.com/jobs?search=Boston)

## Working in AI & tech in Boston

Boston's AI ecosystem is powered by MIT, Harvard, and a deep biotech-to-AI talent pipeline. Home to growing engineering offices for major AI companies and a thriving startup scene in Kendall Square and the Seaport.

JobsByCulture tracks 170 open positions across 20 companies in Boston. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Chicago | JobsByCulture

# AI & Tech Jobs in Chicago | JobsByCulture

> Browse 310 AI & tech jobs in Chicago at 22 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/chicago
Markdown: https://jobsbyculture.com/locations/chicago.md
Last updated: 2026-07-14

---
US Midwest

# 🏙️ _Chicago_ Jobs

Chicago's tech scene is growing rapidly with strong AI/ML teams at established companies and startups. Lower cost of living than coastal cities, with a deep talent pool and growing venture ecosystem.

310

Open Roles

22

Companies

12

Role Types

## Companies hiring in _Chicago_

[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Writer](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

Writer

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Open Source

](https://jobsbyculture.com/companies/writer)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Ironclad

Mid (~800) · Glassdoor 4.4/5

Work-Life Balance Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/ironclad)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Jobs by role in Chicago

Sales / GTM93

Engineering73

Product25

Legal13

Marketing13

HR / People12

Operations8

Data4

Finance3

Support3

Design2

ML / AI1

## Latest jobs in Chicago

[![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Associate Enablement Manager - Field

Okta · Chicago, Illinois

›](https://jobsbyculture.com/jobs/okta/associate-enablement-manager-field) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive - Enterprise, Grower

Stripe · US-Remote, US-San Francisco, US-Chicago, US-New York, US-Seattle, US-Texas

›](https://jobsbyculture.com/jobs/stripe/account-executive-enterprise-grower-1nex5) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Legal Engineer, Product Specialist Manager

Harvey · Chicago

›](https://jobsbyculture.com/jobs/harvey/legal-engineer-product-specialist-manager-fnv1f) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Account Manager

Adyen · Chicago

›](https://jobsbyculture.com/jobs/adyen/account-manager-whnd2) [![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Account Executive, Commercial

Intercom · Chicago, Illinois

›](https://jobsbyculture.com/jobs/intercom/account-executive-commercial-gkcvu) [![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

4PL Area Manager

Flexport · Atlanta Warehouse; Chicago Warehouse; Dallas Warehouse; New York City, New York, United States; Phillipsburg Warehouse; San Bernardino Warehouse

›](https://jobsbyculture.com/jobs/flexport/4pl-area-manager-ek08s) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Business Development Representative

Databricks · Chicago, Illinois

›](https://jobsbyculture.com/jobs/databricks/business-development-representative-otnha) [![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

CFP® Relationship Manager

Robinhood · Chicago, IL; Denver, CO; Lake Mary, FL; Menlo Park, CA; New York, NY; Westlake, TX

›](https://jobsbyculture.com/jobs/robinhood/cfp-relationship-manager) [![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Business Development Representative

Asana · Chicago

›](https://jobsbyculture.com/jobs/asana/business-development-representative) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Enablement Delivery Specialist

MongoDB · Chicago

›](https://jobsbyculture.com/jobs/mongodb/enablement-delivery-specialist-vov99) [![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Client Account Manager, Large Customer Sales (Travel)

Reddit · Chicago, IL

›](https://jobsbyculture.com/jobs/reddit/client-account-manager-large-customer-sales-travel-5ay2m) [![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Lead Counsel, Litigation and Regulatory

Chime · Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA

›](https://jobsbyculture.com/jobs/chime/lead-counsel-litigation-and-regulatory) [![Writer](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

Strategic account executive (Central)

Writer · Chicago, IL

›](https://jobsbyculture.com/jobs/writer/strategic-account-executive-central) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Sr. Project Manager

Snowflake · US-IL-Chicago-MSO

›](https://jobsbyculture.com/jobs/snowflake/sr-project-manager) [![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

Account Executive - Greenfield

CoreWeave · New York, NY / Chicago, IL / Seattle, WA / San Francisco, CA

›](https://jobsbyculture.com/jobs/coreweave/account-executive-greenfield) [![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Mid-Market Account Executive - Public Sector

Samsara · Remote - Chicago

›](https://jobsbyculture.com/jobs/samsara/mid-market-account-executive-public-sector-66dbf) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Deployment Strategist

Palantir · Chicago, IL

›](https://jobsbyculture.com/jobs/palantir/deployment-strategist-jbyv2) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Enterprise Security Sales Specialist

Datadog · Chicago, Illinois, USA; San Francisco, California, USA

›](https://jobsbyculture.com/jobs/datadog/enterprise-security-sales-specialist) [![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Senior Sales Engineer

Amplitude · Arlington, VA; Atlanta, GA; Austin, TX; Boston, MA; Charlotte, NC; Chicago, IL; Dallas, TX; Houston, TX; Indianapolis, Indiana; Kansas City, Missouri; Minneapolis, Minnesota; New York, NY; Philadelphia, PA; St Louis, Missouri

›](https://jobsbyculture.com/jobs/amplitude/senior-sales-engineer) [![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

Director, Deployed Engineering - Central

LangChain · Chicago, IL

›](https://jobsbyculture.com/jobs/langchain/director-deployed-engineering-central) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Bilingual Growth Account Executive - Spanish

Toast · Chicago, IL

›](https://jobsbyculture.com/jobs/toast/bilingual-growth-account-executive-spanish-xn7wg) [![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Customer Account Executive

Ironclad · Chicago

›](https://jobsbyculture.com/jobs/ironclad/customer-account-executive) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Corporate Counsel, IP

Okta · Bellevue, Washington; Chicago, Illinois; New York, New York; Washington, DC

›](https://jobsbyculture.com/jobs/okta/corporate-counsel-ip-iigpr) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, Enterprise - Grower

Stripe · US-New York, US-Chicago, US-Atlanta, US-San Francisco, US-Texas

›](https://jobsbyculture.com/jobs/stripe/account-executive-enterprise-grower-jnxp0) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

People Data Analytics Lead

Harvey · Chicago

›](https://jobsbyculture.com/jobs/harvey/people-data-analytics-lead-v4p67)

[View all 310 jobs →](https://jobsbyculture.com/jobs?search=Chicago)

## Working in AI & tech in Chicago

Chicago's tech scene is growing rapidly with strong AI/ML teams at established companies and startups. Lower cost of living than coastal cities, with a deep talent pool and growing venture ecosystem.

JobsByCulture tracks 310 open positions across 22 companies in Chicago. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Denver | JobsByCulture

# AI & Tech Jobs in Denver | JobsByCulture

> Browse 133 AI & tech jobs in Denver at 14 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/denver
Markdown: https://jobsbyculture.com/locations/denver.md
Last updated: 2026-07-14

---
US Mountain

# 🏔️ _Denver_ Jobs

Denver and Boulder offer a growing tech scene with strong quality of life, outdoor culture, and competitive compensation. Increasingly popular for AI/ML teams looking beyond coastal hubs.

133

Open Roles

14

Companies

9

Role Types

## Companies hiring in _Denver_

[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Tailscale

Small (~290) · Glassdoor 4.4/5

Remote-Friendly Work-Life Balance Strong Comp & Equity Engineering-Driven

](https://jobsbyculture.com/companies/tailscale)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Contentful

Large (~1,000) · Glassdoor 3.4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/contentful)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)

## Jobs by role in Denver

Sales / GTM36

Engineering28

Finance7

Operations6

Legal5

HR / People5

Product5

ML / AI1

Data1

## Latest jobs in Denver

[![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Senior Category Manager - Mechanical

Crusoe · Denver, CO - US

›](https://jobsbyculture.com/jobs/crusoe/senior-category-manager-mechanical-aaron) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Billing Operations Analyst

Datadog · Denver, Colorado, USA

›](https://jobsbyculture.com/jobs/datadog/billing-operations-analyst) [![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

CFP® Relationship Manager

Robinhood · Chicago, IL; Denver, CO; Lake Mary, FL; Menlo Park, CA; New York, NY; Westlake, TX

›](https://jobsbyculture.com/jobs/robinhood/cfp-relationship-manager) [![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Associate Solution Architect, Professional Services

Contentful · Denver, Colorado, United States

›](https://jobsbyculture.com/jobs/contentful/associate-solution-architect-professional-services-lrqj3) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Delivery Operations Systems & Process Manager

Snowflake · US-CO-Denver

›](https://jobsbyculture.com/jobs/snowflake/delivery-operations-systems-process-manager) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Director, Finance Transformation, FP&A

Databricks · Bellevue, Washington; Denver, Colorado; Mountain View, California; San Francisco, California; Seattle, Washington

›](https://jobsbyculture.com/jobs/databricks/director-finance-transformation-fp-a) [![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Customer Account Executive

Tailscale · Hybrid (Denver, Colorado, United States)

›](https://jobsbyculture.com/jobs/tailscale/customer-account-executive) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Senior Customer Success Manager

MongoDB · Atlanta; Austin; Dallas; Denver

›](https://jobsbyculture.com/jobs/mongodb/senior-customer-success-manager-pk9bn) [![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Account Manager, Flexport Capital

Flexport · Atlanta, Georgia, United States; Dallas, Texas, United States; Denver, Colorado, United States; Miami, Florida, United States

›](https://jobsbyculture.com/jobs/flexport/account-manager-flexport-capital-xsfov) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Software Engineer, Internship

Palantir · Denver, CO

›](https://jobsbyculture.com/jobs/palantir/software-engineer-internship-2hcrk) [![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Account Executive, Commercial

Samsara · Denver, CO

›](https://jobsbyculture.com/jobs/samsara/account-executive-commercial-izo7f) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, Enterprise Platforms, Hunter

Stripe · New York, NY; San Francisco, CA; Seattle, WA; Los Angeles, CA; Denver, CO; Austin, TX; US-West Remote

›](https://jobsbyculture.com/jobs/stripe/account-executive-enterprise-platforms-hunter) [![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

Deployed Engineer (Denver)

LangChain · Denver, CO

›](https://jobsbyculture.com/jobs/langchain/deployed-engineer-denver) [![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Senior Technical Success Manager III - Strategic

Amplitude · Arlington, VA; Atlanta, GA; Austin, TX; Boston, MA; Charlotte, NC; Chicago, IL; Dallas, TX; Denver, CO; Fort Lauderdale, FL; Hartford, CT; Houston, TX; Indianapolis, Indiana; Jacksonville, FL; Kansas City, Missouri; Los Angeles, CA; Miami, FL; Minneapolis, Minnesota; Nashville, TN; New Haven, CT; New York, NY; Ohio; Orlando, FL; Philadelphia, PA; Phoenix, AZ; Portland, OR; Raleigh, NC; Remote - Central; Remote - East; Remote - USA; San Diego, CA; San Francisco, CA; Scottsdale, AZ; Seattle, WA; St Louis, Missouri; Toronto, ON, Canada; Vancouver, BC, Canada; Washington, DC

›](https://jobsbyculture.com/jobs/amplitude/senior-technical-success-manager-iii-strategic) [![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Senior Staff Electrical Engineer, Substation

Crusoe · Denver, CO - US

›](https://jobsbyculture.com/jobs/crusoe/senior-staff-electrical-engineer-substation) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Commercial Account Executive

Datadog · Denver, Colorado, USA

›](https://jobsbyculture.com/jobs/datadog/commercial-account-executive-z4zfl) [![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Crypto Product Compliance Lead

Robinhood · Bellevue, WA; Chicago, IL; Denver, CO; Lake Mary, FL; Menlo Park, CA; New York, NY; Washington, DC; Westlake, TX

›](https://jobsbyculture.com/jobs/robinhood/crypto-product-compliance-lead-it49l) [![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Field Enablement Program Manager

Contentful · Denver, Colorado, United States

›](https://jobsbyculture.com/jobs/contentful/field-enablement-program-manager-57x3d) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Account Engineer

Snowflake · US-CO-Denver

›](https://jobsbyculture.com/jobs/snowflake/account-engineer) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Program Analyst, Legal Ops

Databricks · Bellevue, Washington; Denver, Colorado; Seattle, Washington; Washington, D.C.

›](https://jobsbyculture.com/jobs/databricks/program-analyst-legal-ops) [![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Mid-Market Account Executive

Tailscale · Hybrid (Denver, Colorado, United States)

›](https://jobsbyculture.com/jobs/tailscale/mid-market-account-executive) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Senior Enterprise Account Executive, Growth

MongoDB · Denver

›](https://jobsbyculture.com/jobs/mongodb/senior-enterprise-account-executive-growth-nlb85) [![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Operations Associate - Join Our Talent Community

Flexport · Atlanta, Georgia, United States; Bellevue, Washington, United States; Chicago, Illinois, United States; Dallas, Texas, United States; Denver, Colorado, United States; Los Angeles, California, United States; New York City, New York, United States; San Francisco, California, United States

›](https://jobsbyculture.com/jobs/flexport/operations-associate-join-our-talent-community) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Software Engineer, New Grad

Palantir · Denver, CO

›](https://jobsbyculture.com/jobs/palantir/software-engineer-new-grad-jndyx) [![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Sales Director, Product Specialists (Smart Trailers)

Samsara · Remote - Denver

›](https://jobsbyculture.com/jobs/samsara/sales-director-product-specialists-smart-trailers-4487j)

[View all 133 jobs →](https://jobsbyculture.com/jobs?search=Denver)

## Working in AI & tech in Denver

Denver and Boulder offer a growing tech scene with strong quality of life, outdoor culture, and competitive compensation. Increasingly popular for AI/ML teams looking beyond coastal hubs.

JobsByCulture tracks 133 open positions across 14 companies in Denver. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Dublin | JobsByCulture

# AI & Tech Jobs in Dublin | JobsByCulture

> Browse 343 AI & tech jobs in Dublin at 21 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/dublin
Markdown: https://jobsbyculture.com/locations/dublin.md
Last updated: 2026-07-14

---
Europe

# 🇮🇪 _Dublin_ Jobs

Dublin is the European headquarters for many major tech companies, offering competitive compensation and a thriving tech community. Strong presence of enterprise AI and SaaS companies.

343

Open Roles

21

Companies

12

Role Types

## Companies hiring in _Dublin_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Contentful

Large (~1,000) · Glassdoor 3.4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/contentful)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Jobs by role in Dublin

Sales / GTM135

Engineering109

Product15

HR / People7

Marketing7

Legal6

Finance6

Design5

Support4

ML / AI4

Data3

Operations2

## Latest jobs in Dublin

[![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Account Development Representative, Arabic Speaking

MongoDB · Dublin

›](https://jobsbyculture.com/jobs/mongodb/account-development-representative-arabic-speaking) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, SMB Hunter (French Fluency)

Stripe · Dublin

›](https://jobsbyculture.com/jobs/stripe/account-executive-smb-hunter-french-fluency) [![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Account Executive, MidMarket

Intercom · Dublin, Ireland; London, England

›](https://jobsbyculture.com/jobs/intercom/account-executive-midmarket) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive, Small Business - Benelux (English Speaking)

HubSpot · Dublin, Ireland

›](https://jobsbyculture.com/jobs/hubspot/account-executive-small-business-benelux-english-speaking-7mp64) [![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Solutions Engineer, EMEA

Notion · Dublin, Ireland

›](https://jobsbyculture.com/jobs/notion/solutions-engineer-emea) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Engineering Manager II - Internationalization

Toast · Dublin, Ireland

›](https://jobsbyculture.com/jobs/toast/engineering-manager-ii-internationalization) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Commercial Account Executive (France)

Datadog · Amsterdam, The Netherlands; Dublin, Ireland

›](https://jobsbyculture.com/jobs/datadog/commercial-account-executive-france) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Senior Support Engineer - Dublin

OpenAI · Dublin, Ireland

›](https://jobsbyculture.com/jobs/openai/senior-support-engineer-dublin) [![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Solutions Engineer, Upmarket (Pre-Sales) - EMEA (German Speaking)

Vanta · Dublin, Ireland

›](https://jobsbyculture.com/jobs/vanta/solutions-engineer-upmarket-pre-sales-emea-german-speaking-plsve) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Employee Relations & Compliance Manager

Okta · Dublin, Ireland

›](https://jobsbyculture.com/jobs/okta/employee-relations-compliance-manager) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

AI Compliance Officer

Anthropic · Dublin, IE

›](https://jobsbyculture.com/jobs/anthropic/ai-compliance-officer) [![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Production Engineer (Kubernetes)

Crusoe · Dublin - IE

›](https://jobsbyculture.com/jobs/crusoe/production-engineer-kubernetes) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Technical User Operations Specialist - EMEA

Harvey · Dublin

›](https://jobsbyculture.com/jobs/harvey/technical-user-operations-specialist-emea-pvb2f) [![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Business Development Representative, German Speaking

Asana · Dublin

›](https://jobsbyculture.com/jobs/asana/business-development-representative-german-speaking) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Deal Desk Manager

Snowflake · US-CA-Dublin

›](https://jobsbyculture.com/jobs/snowflake/deal-desk-manager) [![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Engineering Manager - Content API (f/m/d)

Contentful · Dublin, Dublin, Ireland

›](https://jobsbyculture.com/jobs/contentful/engineering-manager-content-api-f-m-d-xio3j) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Manager, Luxe Supply

Airbnb · London or Paris or Milan or Dublin

›](https://jobsbyculture.com/jobs/airbnb/manager-luxe-supply-h9qiu) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Senior Technical Revenue Analyst (Dublin, Ireland)

Figma · Dublin, Ireland

›](https://jobsbyculture.com/jobs/figma/senior-technical-revenue-analyst-dublin-ireland) [![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Customer Support Specialist - EMEA

Mercury · Dublin, Ireland

›](https://jobsbyculture.com/jobs/mercury/customer-support-specialist-emea) [![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Risk & Monitoring Analyst IV

Coinbase · Dublin, Ireland

›](https://jobsbyculture.com/jobs/coinbase/risk-monitoring-analyst-iv-8b6w0) [![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Staff Site Reliability Engineer - Site Experience

Reddit · Dublin, Ireland

›](https://jobsbyculture.com/jobs/reddit/staff-site-reliability-engineer-site-experience-kihrm) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Account Development Representative - English Speaking

MongoDB · Dublin

›](https://jobsbyculture.com/jobs/mongodb/account-development-representative-english-speaking) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, SSMB - Existing Business (French Fluency)

Stripe · Dublin

›](https://jobsbyculture.com/jobs/stripe/account-executive-ssmb-existing-business-french-fluency) [![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Account Executive, MidMarket - German Speaking

Intercom · Dublin, Ireland; London, England

›](https://jobsbyculture.com/jobs/intercom/account-executive-midmarket-german-speaking) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive - Small Business - Ireland OR UK Based (Office, Flex or Remote)

HubSpot · Dublin, Ireland

›](https://jobsbyculture.com/jobs/hubspot/account-executive-small-business-ireland-or-uk-based-office-flex-or-remote)

[View all 343 jobs →](https://jobsbyculture.com/jobs?search=Dublin)

## Working in AI & tech in Dublin

Dublin is the European headquarters for many major tech companies, offering competitive compensation and a thriving tech community. Strong presence of enterprise AI and SaaS companies.

JobsByCulture tracks 343 open positions across 21 companies in Dublin. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Lisbon | JobsByCulture

# AI & Tech Jobs in Lisbon | JobsByCulture

> Browse 15 AI & tech jobs in Lisbon at 3 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/lisbon
Markdown: https://jobsbyculture.com/locations/lisbon.md
Last updated: 2026-07-14

---
Europe

# 🇵🇹 _Lisbon_ Jobs

Lisbon is Southern Europe's fastest-growing tech hub, attracting AI companies with its talent pool, Web Summit presence, favorable tax regime, and high quality of life at a lower cost than Western European capitals.

15

Open Roles

3

Companies

3

Role Types

## Companies hiring in _Lisbon_

[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)

## Jobs by role in Lisbon

Engineering7

Sales / GTM2

Product1

## Latest jobs in Lisbon

[![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Engineering Manager II - APM DCS Platform Delivery

Datadog · Lisbon, Portugal

›](https://jobsbyculture.com/jobs/datadog/engineering-manager-ii-apm-dcs-platform-delivery-5oivt) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Business Travel Consultant - French - Hybrid

Navan · Lisbon, PT

›](https://jobsbyculture.com/jobs/navan/business-travel-consultant-french-hybrid) [![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Mid/Senior Frontend Developer

Sensor Tower · Lisbon, Portugal

›](https://jobsbyculture.com/jobs/sensor-tower/mid-senior-frontend-developer-e40e8) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Partner Solutions Architect (EMEA)

Datadog · Lisbon, Portugal

›](https://jobsbyculture.com/jobs/datadog/partner-solutions-architect-emea-69nup) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Business Travel Consultant - German - Hybrid

Navan · Lisbon, PT

›](https://jobsbyculture.com/jobs/navan/business-travel-consultant-german-hybrid) [![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Back End Engineer (Mid/Sr Level) - Ruby

Sensor Tower · Lisbon, Portugal

›](https://jobsbyculture.com/jobs/sensor-tower/back-end-engineer-mid-sr-level-ruby-nr59d) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Partner Solutions Architect (Pan-EMEA GSI)

Datadog · Amsterdam, The Netherlands; Italy, Remote; Lisbon, Portugal; Madrid, Spain; Stockholm, Sweden

›](https://jobsbyculture.com/jobs/datadog/partner-solutions-architect-pan-emea-gsi) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Business Travel Consultant - Italian - Hybrid

Navan · Lisbon, PT

›](https://jobsbyculture.com/jobs/navan/business-travel-consultant-italian-hybrid) [![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

DevOps Engineer

Sensor Tower · Lisbon, Portugal

›](https://jobsbyculture.com/jobs/sensor-tower/devops-engineer-xga44) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Senior Security Engineer - Cloud SIEM

Datadog · Lisbon, Portugal

›](https://jobsbyculture.com/jobs/datadog/senior-security-engineer-cloud-siem-46shw) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Business Travel Consultant - Spanish - Hybrid

Navan · Lisbon, PT

›](https://jobsbyculture.com/jobs/navan/business-travel-consultant-spanish-hybrid) [![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Technical Product Manager

Sensor Tower · Lisbon, Portugal

›](https://jobsbyculture.com/jobs/sensor-tower/technical-product-manager-p9irv) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Senior Software Engineer - REDAPL Graph Engine

Datadog · Lisbon, Portugal

›](https://jobsbyculture.com/jobs/datadog/senior-software-engineer-redapl-graph-engine-8yq8e) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Travel Agent - French / German - Relocation to Lisbon

Navan · Lisbon, PT

›](https://jobsbyculture.com/jobs/navan/travel-agent-french-german-relocation-to-lisbon) [![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Full Stack Engineer

Sensor Tower · Lisbon, Portugal

›](https://jobsbyculture.com/jobs/sensor-tower/full-stack-engineer-5sjx0)

[View all 15 jobs →](https://jobsbyculture.com/jobs?search=Lisbon)

## Working in AI & tech in Lisbon

Lisbon is Southern Europe's fastest-growing tech hub, attracting AI companies with its talent pool, Web Summit presence, favorable tax regime, and high quality of life at a lower cost than Western European capitals.

JobsByCulture tracks 15 open positions across 3 companies in Lisbon. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in London | JobsByCulture

# AI & Tech Jobs in London | JobsByCulture

> Browse 828 AI & tech jobs in London at 67 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/london
Markdown: https://jobsbyculture.com/locations/london.md
Last updated: 2026-07-14

---
Europe

# 🇬🇧 _London_ Jobs

London is Europe's largest AI hub, home to Google DeepMind and growing offices for Anthropic, Mistral, and others. Strong research culture, world-class universities feeding talent, and a vibrant startup ecosystem.

828

Open Roles

67

Companies

11

Role Types

## Companies hiring in _London_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Large (~800) · Glassdoor 3.7/5

Ship Fast & Iterate Remote-Friendly Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/apollo)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Linear

Small (~80) · Glassdoor 4.6/5

Deep Work / Low Meetings Remote-Friendly Async-First Engineering-Driven

](https://jobsbyculture.com/companies/linear)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![Pylon](https://www.google.com/s2/favicons?domain=usepylon.com&sz=128)

Pylon

Small (~70) · Glassdoor 3/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/pylon)[

![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

incident.io

Small (~140) · Glassdoor 4.5/5

Transparent Safe to Fail Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/incidentio)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Wayve

Mid (~850) · Glassdoor 4.4/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/wayve)[

![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

DeepL

Large (~1,570) · Glassdoor 2.9/5

Work-Life Balance Flexible Hours Diverse & Inclusive Direct Product Impact

](https://jobsbyculture.com/companies/deepl)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Contentful

Large (~1,000) · Glassdoor 3.4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/contentful)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Mid (~300) · Glassdoor 4.5/5

Remote-Friendly Open Source Flat Hierarchy Transparent

](https://jobsbyculture.com/companies/n8n)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![Granola](https://www.google.com/s2/favicons?domain=granola.ai&sz=128)

Granola

Small (~50) · Glassdoor 5/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/granola)[

![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Mercor

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Strong Comp & Equity

](https://jobsbyculture.com/companies/mercor)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Webflow

Mid (~800) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Remote-Friendly Work-Life Balance

](https://jobsbyculture.com/companies/webflow)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Writer](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

Writer

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Open Source

](https://jobsbyculture.com/companies/writer)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Ironclad

Mid (~800) · Glassdoor 4.4/5

Work-Life Balance Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/ironclad)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Cartesia

Small (~90) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/cartesia)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Benchling](https://www.google.com/s2/favicons?domain=benchling.com&sz=128)

Benchling

Mid (~800) · Glassdoor 3.5/5

Engineering-Driven Mission-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/benchling)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

LaunchDarkly

Mid (~590) · Glassdoor 3.8/5

Engineering-Driven Work-Life Balance Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/launchdarkly)[

![DevRev](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

DevRev

Mid (~800) · Glassdoor 4.1/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/devrev)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Jobs by role in London

Sales / GTM268

Engineering245

ML / AI40

Product38

Marketing37

Operations25

Legal15

HR / People14

Design14

Data7

Finance5

## Latest jobs in London

[![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

AWS Cloud Partner Solutions Architect — EMEA

Databricks · London, United Kingdom

›](https://jobsbyculture.com/jobs/databricks/aws-cloud-partner-solutions-architect-emea-3f7dq) [![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Account Executive, MidMarket

Intercom · Dublin, Ireland; London, England

›](https://jobsbyculture.com/jobs/intercom/account-executive-midmarket) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Enterprise Account Executive, Europe

Sierra · London

›](https://jobsbyculture.com/jobs/sierra/enterprise-account-executive-europe) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic Fellows Program

Anthropic · London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA

›](https://jobsbyculture.com/jobs/anthropic/anthropic-fellows-program) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, Financial Services, Grower

Stripe · London

›](https://jobsbyculture.com/jobs/stripe/account-executive-financial-services-grower) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Advertiser Solutions Vendor Lead - Programmatic and Direct Support

Spotify · London

›](https://jobsbyculture.com/jobs/spotify/advertiser-solutions-vendor-lead-programmatic-and-direct-support) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Account Executive, UK&I

Navan · London, UK

›](https://jobsbyculture.com/jobs/navan/account-executive-uk-i) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Application Security Engineer

Palantir · London, United Kingdom

›](https://jobsbyculture.com/jobs/palantir/application-security-engineer-4nsx0) [![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Automotive Product Security Lead

Wayve · London

›](https://jobsbyculture.com/jobs/wayve/automotive-product-security-lead-2zely) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Associate Commercial Counsel - EMEA

Harvey · London

›](https://jobsbyculture.com/jobs/harvey/associate-commercial-counsel-emea) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Security Engineer, Detection and Response - EMEA

OpenAI · London, UK

›](https://jobsbyculture.com/jobs/openai/security-engineer-detection-and-response-emea) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Senior Solution Engineer

Snowflake · GB-London

›](https://jobsbyculture.com/jobs/snowflake/senior-solution-engineer-k264p) [![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

AI Applications Ops Lead, GPS

Scale AI · Doha, Qatar; London, UK

›](https://jobsbyculture.com/jobs/scale/ai-applications-ops-lead-gps) [![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Strategic Account Executive

Synthesia · London

›](https://jobsbyculture.com/jobs/synthesia/strategic-account-executive-hip76) [![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

AI Research Engineer - 3D Computer Vision

Helsing · Berlin; London; Munich; Paris

›](https://jobsbyculture.com/jobs/helsing/ai-research-engineer-3d-computer-vision) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Client Value Partner - Consumer Packaged Goods

Celonis · London, United Kingdom

›](https://jobsbyculture.com/jobs/celonis/client-value-partner-consumer-packaged-goods) [![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Account Development Representative - UK

Samsara · London, England, United Kingdom

›](https://jobsbyculture.com/jobs/samsara/account-development-representative-uk) [![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Staff Software Engineer, Privacy & Data Security

Vanta · London, UK

›](https://jobsbyculture.com/jobs/vanta/staff-software-engineer-privacy-data-security) [![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Analytical Engineer f/m/d

Contentful · London

›](https://jobsbyculture.com/jobs/contentful/analytical-engineer-f-m-d) [![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Member of Technical Staff, Modeling

Cohere · London

›](https://jobsbyculture.com/jobs/cohere/member-of-technical-staff-modeling) [![Writer](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

Software engineer, generative AI (UK)

Writer · London, UK

›](https://jobsbyculture.com/jobs/writer/software-engineer-generative-ai-uk) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Account Executive, Enterprise (London, United Kingdom)

Figma · London, England

›](https://jobsbyculture.com/jobs/figma/account-executive-enterprise-london-united-kingdom) [![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Senior Agent Product Manager

Decagon · London

›](https://jobsbyculture.com/jobs/decagon/senior-agent-product-manager-vj9s3) [![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Acquisition Account Manager, Mid-Market EMEA

Reddit · London, United Kingdom

›](https://jobsbyculture.com/jobs/reddit/acquisition-account-manager-mid-market-emea) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive, Small Business - Benelux (English Speaking)

HubSpot · London, United Kingdom

›](https://jobsbyculture.com/jobs/hubspot/account-executive-small-business-benelux-english-speaking-ft6ls)

[View all 828 jobs →](https://jobsbyculture.com/jobs?search=London)

## Working in AI & tech in London

London is Europe's largest AI hub, home to Google DeepMind and growing offices for Anthropic, Mistral, and others. Strong research culture, world-class universities feeding talent, and a vibrant startup ecosystem.

JobsByCulture tracks 828 open positions across 67 companies in London. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Madrid | JobsByCulture

# AI & Tech Jobs in Madrid | JobsByCulture

> Browse 71 AI & tech jobs in Madrid at 11 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/madrid
Markdown: https://jobsbyculture.com/locations/madrid.md
Last updated: 2026-07-14

---
Europe

# 🇪🇸 _Madrid_ Jobs

Madrid is an emerging European tech hub with growing AI presence, competitive cost of living compared to London or Paris, and strong engineering talent from Spanish universities.

71

Open Roles

11

Companies

9

Role Types

## Companies hiring in _Madrid_

[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)

## Jobs by role in Madrid

Engineering26

Sales / GTM22

Product3

Operations3

Marketing2

Legal1

Data1

ML / AI1

HR / People1

## Latest jobs in Madrid

[![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Application Product Manager - AI System Transformations

Celonis · Madrid, Spain

›](https://jobsbyculture.com/jobs/celonis/application-product-manager-ai-system-transformations-sp47h) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Engineering Manager II - APM DCS Platform Delivery

Datadog · Bordeaux, France; Grenoble, France; Lyon, France; Madrid, Spain; Montpellier, France; Nantes, France; Paris, France; Sophia Antipolis, France

›](https://jobsbyculture.com/jobs/datadog/engineering-manager-ii-apm-dcs-platform-delivery-klwtl) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Solutions Engineer, Large Enterprise

OpenAI · Madrid, Spain

›](https://jobsbyculture.com/jobs/openai/solutions-engineer-large-enterprise-yn9xk) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Account Manager

Adyen · Madrid

›](https://jobsbyculture.com/jobs/adyen/account-manager-l0ukt) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sales Director, Spain

Sierra · Madrid

›](https://jobsbyculture.com/jobs/sierra/sales-director-spain) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Enterprise Account Executive

Harvey · Madrid

›](https://jobsbyculture.com/jobs/harvey/enterprise-account-executive-pcdag) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Enterprise Account Executive

MongoDB · Madrid

›](https://jobsbyculture.com/jobs/mongodb/enterprise-account-executive-oezwz) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Deployment Strategist - Spain

Palantir · Madrid, Spain

›](https://jobsbyculture.com/jobs/palantir/deployment-strategist-spain) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Senior Solutions Architect - Lakebase

Databricks · Madrid

›](https://jobsbyculture.com/jobs/databricks/senior-solutions-architect-lakebase-cku6f) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, Hunter, Iberia

Stripe · Madrid, Barcelona

›](https://jobsbyculture.com/jobs/stripe/account-executive-hunter-iberia) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Senior Public Policy Manager, Iberia

Airbnb · Madrid, Spain

›](https://jobsbyculture.com/jobs/airbnb/senior-public-policy-manager-iberia) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Associate (AI) Solution Consultant (Benelux) - Orbit Program

Celonis · Madrid, Spain

›](https://jobsbyculture.com/jobs/celonis/associate-ai-solution-consultant-benelux-orbit-program) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Manager I, Engineering - Code Coverage

Datadog · Madrid, Spain

›](https://jobsbyculture.com/jobs/datadog/manager-i-engineering-code-coverage) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

AI Deployment Engineer

OpenAI · Madrid, Spain

›](https://jobsbyculture.com/jobs/openai/ai-deployment-engineer-95l49) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Commercial Partnerships Manager

Adyen · Madrid

›](https://jobsbyculture.com/jobs/adyen/commercial-partnerships-manager) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Strategist, Agent Development (Spanish speaking)

Sierra · Madrid

›](https://jobsbyculture.com/jobs/sierra/strategist-agent-development-spanish-speaking-9npbb) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Recruiting Operations Manager

Harvey · Madrid

›](https://jobsbyculture.com/jobs/harvey/recruiting-operations-manager-47lfd) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Enterprise Account Executive, Growth

MongoDB · Madrid

›](https://jobsbyculture.com/jobs/mongodb/enterprise-account-executive-growth-fjf2l) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Forward Deployed Software Engineer - Spain

Palantir · Madrid, Spain

›](https://jobsbyculture.com/jobs/palantir/forward-deployed-software-engineer-spain) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Associate (AI) Solution Consultant (DACH) - Orbit Program

Celonis · Madrid, Spain

›](https://jobsbyculture.com/jobs/celonis/associate-ai-solution-consultant-dach-orbit-program) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Manager I, Engineering - OrgStore Blueprint

Datadog · Madrid, Spain

›](https://jobsbyculture.com/jobs/datadog/manager-i-engineering-orgstore-blueprint) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Account Director, Large Enterprise

OpenAI · Madrid, Spain

›](https://jobsbyculture.com/jobs/openai/account-director-large-enterprise-fgxp5) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Project Operations Specialist

Adyen · Madrid

›](https://jobsbyculture.com/jobs/adyen/project-operations-specialist) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Software Engineer, Agent

Sierra · Madrid

›](https://jobsbyculture.com/jobs/sierra/software-engineer-agent-9fv7r) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Customer Success Manager, Mid-Market, Spain

Harvey · Madrid

›](https://jobsbyculture.com/jobs/harvey/customer-success-manager-mid-market-spain)

[View all 71 jobs →](https://jobsbyculture.com/jobs?search=Madrid)

## Working in AI & tech in Madrid

Madrid is an emerging European tech hub with growing AI presence, competitive cost of living compared to London or Paris, and strong engineering talent from Spanish universities.

JobsByCulture tracks 71 open positions across 11 companies in Madrid. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Munich | JobsByCulture

# AI & Tech Jobs in Munich | JobsByCulture

> Browse 205 AI & tech jobs in Munich at 17 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/munich
Markdown: https://jobsbyculture.com/locations/munich.md
Last updated: 2026-07-14

---
Europe

# 🇩🇪 _Munich_ Jobs

Munich combines world-class engineering culture with a thriving AI research scene. Home to major company R&D centers and a strong pipeline of technical talent from TU Munich and other top institutions.

205

Open Roles

17

Companies

12

Role Types

## Companies hiring in _Munich_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)

## Jobs by role in Munich

Engineering78

Sales / GTM42

Operations8

ML / AI7

Product6

Design4

HR / People4

Finance3

Marketing2

Data1

Support1

Legal1

## Latest jobs in Munich

[![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Accounts Payable Lead

Helsing · Munich

›](https://jobsbyculture.com/jobs/helsing/accounts-payable-lead) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Application Product Manager - AI System Transformations

Celonis · Munich, Germany

›](https://jobsbyculture.com/jobs/celonis/application-product-manager-ai-system-transformations-463k7) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

AWS Cloud Partner Solutions Architect — EMEA

Databricks · Berlin, Germany; Munich, Germany

›](https://jobsbyculture.com/jobs/databricks/aws-cloud-partner-solutions-architect-emea-dbjg6) [![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Customer Onboarding Manager (Healthcare)(x/f/m)

Doctolib · München

›](https://jobsbyculture.com/jobs/doctolib/customer-onboarding-manager-healthcare-x-f-m) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Forward Deployed Engineer - Munich

OpenAI · Munich, Germany

›](https://jobsbyculture.com/jobs/openai/forward-deployed-engineer-munich) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Legal Engineer - Germany

Harvey · Munich

›](https://jobsbyculture.com/jobs/harvey/legal-engineer-germany) [![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

DFT Engineer, Automotive Robotics

Tenstorrent · Munich, Germany

›](https://jobsbyculture.com/jobs/tenstorrent/dft-engineer-automotive-robotics) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Software Engineer, Agent

Sierra · Munich

›](https://jobsbyculture.com/jobs/sierra/software-engineer-agent-8tbgi) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Enterprise Account Executive

MongoDB · Munich

›](https://jobsbyculture.com/jobs/mongodb/enterprise-account-executive-avyci) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Enterprise Account Executive - Observability

Snowflake · DE-Munich-MSO

›](https://jobsbyculture.com/jobs/snowflake/enterprise-account-executive-observability-l5ng8) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Applied AI Architect, Applied AI (Digital Natives Business)

Anthropic · Munich, Germany

›](https://jobsbyculture.com/jobs/anthropic/applied-ai-architect-applied-ai-digital-natives-business) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Partner Development Manager

Stripe · Germany, Berlin, Munich

›](https://jobsbyculture.com/jobs/stripe/partner-development-manager) [![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Account Executive, Enterprise, DACH

Notion · Munich, Germany

›](https://jobsbyculture.com/jobs/notion/account-executive-enterprise-dach) [![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Corporate Account Executive, DACH

Asana · Munich

›](https://jobsbyculture.com/jobs/asana/corporate-account-executive-dach) [![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Sales Development Representative - German Speaker

Synthesia · Munich

›](https://jobsbyculture.com/jobs/synthesia/sales-development-representative-german-speaker) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Enterprise Account Manager

Adyen · Munich

›](https://jobsbyculture.com/jobs/adyen/enterprise-account-manager-8oc62) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Strategic Account Executive Okta

Okta · Munich, Germany

›](https://jobsbyculture.com/jobs/okta/strategic-account-executive-okta) [![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

AI Research Engineer - 3D Computer Vision

Helsing · Berlin; London; Munich; Paris

›](https://jobsbyculture.com/jobs/helsing/ai-research-engineer-3d-computer-vision) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Application Product Manager - AI System Transformations

Celonis · Munich, Germany

›](https://jobsbyculture.com/jobs/celonis/application-product-manager-ai-system-transformations-j5dt7) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Business Development Representative (German-speaking, DACH)

Databricks · Munich, Germany

›](https://jobsbyculture.com/jobs/databricks/business-development-representative-german-speaking-dach) [![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Deployment Team Manager (x/f/m)

Doctolib · München

›](https://jobsbyculture.com/jobs/doctolib/deployment-team-manager-x-f-m) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Account Director, Digital Natives - DACH

OpenAI · Munich, Germany

›](https://jobsbyculture.com/jobs/openai/account-director-digital-natives-dach) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Sales Development Representative - Dublin (German Speaking)

Harvey · Munich

›](https://jobsbyculture.com/jobs/harvey/sales-development-representative-dublin-german-speaking) [![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Emulation Engineer, Automotive Robotics

Tenstorrent · Munich, Germany

›](https://jobsbyculture.com/jobs/tenstorrent/emulation-engineer-automotive-robotics) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Strategist, Agent Development

Sierra · Munich

›](https://jobsbyculture.com/jobs/sierra/strategist-agent-development-bwuza)

[View all 205 jobs →](https://jobsbyculture.com/jobs?search=Munich)

## Working in AI & tech in Munich

Munich combines world-class engineering culture with a thriving AI research scene. Home to major company R&D centers and a strong pipeline of technical talent from TU Munich and other top institutions.

JobsByCulture tracks 205 open positions across 17 companies in Munich. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in New York City | JobsByCulture

# AI & Tech Jobs in New York City | JobsByCulture

> Browse 2,041 AI & tech jobs in New York City at 75 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/new-york
Markdown: https://jobsbyculture.com/locations/new-york.md
Last updated: 2026-07-14

---
US East Coast

# 🗽 _New York City_ Jobs

New York's AI scene is booming, with major labs and startups establishing engineering hubs in Manhattan and Brooklyn. Strong presence of fintech-AI crossover (Stripe, Ramp) alongside pure AI companies. Expect a mix of hybrid and in-office roles.

2,041

Open Roles

75

Companies

12

Role Types

## Companies hiring in _New York City_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Hugging Face

Mid (~700) · Glassdoor 3.8/5

Open Source Remote-Friendly Flexible Hours Transparent

](https://jobsbyculture.com/companies/huggingface)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Google DeepMind

Large (~7,000) · Glassdoor 4.2/5

Deep Work / Low Meetings Learning & Growth Engineering-Driven Diverse & Inclusive

](https://jobsbyculture.com/companies/deepmind)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

Small (~200) · Glassdoor 4/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/replit)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Pinecone](https://www.google.com/s2/favicons?domain=pinecone.io&sz=128)

Pinecone

Small (~130) · Glassdoor 4.2/5

Flexible Hours Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/pinecone)[

![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Modal

Small (~110) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Deep Work / Low Meetings Open Source

](https://jobsbyculture.com/companies/modal)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

incident.io

Small (~140) · Glassdoor 4.5/5

Transparent Safe to Fail Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/incidentio)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Baseten

Small (~100) · Glassdoor 4.3/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/baseten)[

![Fireworks AI](https://www.google.com/s2/favicons?domain=fireworks.ai&sz=128)

Fireworks AI

Small (~100) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Learning & Growth

](https://jobsbyculture.com/companies/fireworksai)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

DeepL

Large (~1,570) · Glassdoor 2.9/5

Work-Life Balance Flexible Hours Diverse & Inclusive Direct Product Impact

](https://jobsbyculture.com/companies/deepl)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Contentful

Large (~1,000) · Glassdoor 3.4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/contentful)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Mid (~300) · Glassdoor 4.5/5

Remote-Friendly Open Source Flat Hierarchy Transparent

](https://jobsbyculture.com/companies/n8n)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

Chainguard

Mid (~350) · Glassdoor 4.5/5

Remote-Friendly Open Source Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/chainguard)[

![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Mercor

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Strong Comp & Equity

](https://jobsbyculture.com/companies/mercor)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Writer](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

Writer

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Open Source

](https://jobsbyculture.com/companies/writer)[

![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Abridge

Mid (~500) · Glassdoor 4.7/5

Mission-Driven Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/abridge)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Lambda

Mid (~500) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/lambda)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Ironclad

Mid (~800) · Glassdoor 4.4/5

Work-Life Balance Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/ironclad)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Exa

Small (~120) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/exa)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)[

![Character AI](https://www.google.com/s2/favicons?domain=character.ai&sz=128)

Character AI

Mid (~250) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/character)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![Cryptio](https://www.google.com/s2/favicons?domain=cryptio.co&sz=128)

Cryptio

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/cryptio)[

![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Goodfire

Small (~50) · Glassdoor null/5

Engineering-Driven Ethical AI / Safety Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/goodfire)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Jobs by role in New York City

Engineering699

Sales / GTM399

Product174

Marketing118

ML / AI70

Operations58

Design53

Data48

HR / People46

Legal43

Finance38

Support2

## Latest jobs in New York City

[![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Amazon GTM Partnership, Startups

Anthropic · San Francisco, CA | New York City, NY | Seattle, WA

›](https://jobsbyculture.com/jobs/anthropic/amazon-gtm-partnership-startups) [![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

Account Executive - Greenfield

CoreWeave · New York, NY / Chicago, IL / Seattle, WA / San Francisco, CA

›](https://jobsbyculture.com/jobs/coreweave/account-executive-greenfield) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

AI Research Scientist - Datadog AI Research (DAIR)

Datadog · New York, New York, USA

›](https://jobsbyculture.com/jobs/datadog/ai-research-scientist-datadog-ai-research-dair-ywjgp) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive - Enterprise, Grower

Stripe · US-Remote, US-San Francisco, US-Chicago, US-New York, US-Seattle, US-Texas

›](https://jobsbyculture.com/jobs/stripe/account-executive-enterprise-grower-1nex5) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Account Executive, Enterprise

Figma · San Francisco, CA • New York, NY • United States

›](https://jobsbyculture.com/jobs/figma/account-executive-enterprise) [![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Director, Performance Marketing

Ramp · New York, NY (HQ)

›](https://jobsbyculture.com/jobs/ramp/director-performance-marketing) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Administrative Business Partner - Security

Palantir · New York, NY

›](https://jobsbyculture.com/jobs/palantir/administrative-business-partner-security-72rel) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Enterprise Customer Success Manager

Harvey · New York

›](https://jobsbyculture.com/jobs/harvey/enterprise-customer-success-manager-bgz3a) [![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

AI Builder Intern

Scale AI · San Francisco, CA; New York, NY

›](https://jobsbyculture.com/jobs/scale/ai-builder-intern) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Account Executive, Mid Market

Brex · New York, New York, United States

›](https://jobsbyculture.com/jobs/brex/account-executive-mid-market-cfqc5) [![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Chief Audit Officer

Mercury · San Francisco, CA, New York, NY, Portland, OR, or Remote within United States

›](https://jobsbyculture.com/jobs/mercury/chief-audit-officer) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Account Development Representative

MongoDB · New York City

›](https://jobsbyculture.com/jobs/mongodb/account-development-representative-xby01) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Business Development Representative

Databricks · New York City, New York

›](https://jobsbyculture.com/jobs/databricks/business-development-representative-vucfn) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Area Sales Director, Strategic

Okta · Connecticut; New Jersey; New York, New York

›](https://jobsbyculture.com/jobs/okta/area-sales-director-strategic-rzuwn) [![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Android Engineer, Trump Accounts

Robinhood · New York, NY

›](https://jobsbyculture.com/jobs/robinhood/android-engineer-trump-accounts) [![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Staff Site Reliability Engineer - Release Engineering

Plaid · New York City Office

›](https://jobsbyculture.com/jobs/plaid/staff-site-reliability-engineer-release-engineering) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Account Manager, Commercial

Navan · New York, NY

›](https://jobsbyculture.com/jobs/navan/account-manager-commercial-bzrpr) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Analyst, Licensing Finance – FP&A

Spotify · New York, NY

›](https://jobsbyculture.com/jobs/spotify/analyst-licensing-finance-fp-a) [![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Brand Campaigns Director

Duolingo · New York, NY

›](https://jobsbyculture.com/jobs/duolingo/brand-campaigns-director-s47o5) [![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Senior Product Recruiter

Suno · NYC

›](https://jobsbyculture.com/jobs/suno/senior-product-recruiter) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Associate Value Engineer (AI-Driven Data Science & Analytics) - Orbit Program

Celonis · New York, US, New York

›](https://jobsbyculture.com/jobs/celonis/associate-value-engineer-ai-driven-data-science-analytics-orbit-program-sotyj) [![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Account Executive- Startups, Greenfield

Vercel · Hybrid - San Francisco, New York City, Austin

›](https://jobsbyculture.com/jobs/vercel/account-executive-startups-greenfield) [![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Member of Technical Staff - Systems

Modal · New York

›](https://jobsbyculture.com/jobs/modal/member-of-technical-staff-systems-bzjla) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

AI Deployment Engineer, Startups

OpenAI · New York City

›](https://jobsbyculture.com/jobs/openai/ai-deployment-engineer-startups-ta6h7) [![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Senior Agent Product Manager

Decagon · New York City

›](https://jobsbyculture.com/jobs/decagon/senior-agent-product-manager-ynr4g)

[View all 2,041 jobs →](https://jobsbyculture.com/jobs?search=New%20York%20City)

## Working in AI & tech in New York City

New York's AI scene is booming, with major labs and startups establishing engineering hubs in Manhattan and Brooklyn. Strong presence of fintech-AI crossover (Stripe, Ramp) alongside pure AI companies. Expect a mix of hybrid and in-office roles.

JobsByCulture tracks 2,041 open positions across 75 companies in New York City. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[Best AI Companies for Work-Life Balance in New York →](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-new-york-2026) [AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Paris | JobsByCulture

# AI & Tech Jobs in Paris | JobsByCulture

> Browse 209 AI & tech jobs in Paris at 26 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/paris
Markdown: https://jobsbyculture.com/locations/paris.md
Last updated: 2026-07-14

---
Europe

# 🇫🇷 _Paris_ Jobs

Paris has emerged as a major AI research hub, anchored by Mistral AI and growing offices from Hugging Face, Anthropic, and others. France's strong math and engineering tradition produces world-class ML talent.

209

Open Roles

26

Companies

10

Role Types

## Companies hiring in _Paris_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Hugging Face

Mid (~700) · Glassdoor 3.8/5

Open Source Remote-Friendly Flexible Hours Transparent

](https://jobsbyculture.com/companies/huggingface)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)

## Jobs by role in Paris

Sales / GTM70

Engineering60

ML / AI13

Product6

Marketing6

HR / People5

Operations4

Data4

Design2

Finance2

## Latest jobs in Paris

[![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Account Executive terrain- Île-de-France (x/f/m)

Doctolib · Paris, Paris, France

›](https://jobsbyculture.com/jobs/doctolib/account-executive-terrain-le-de-france-x-f-m) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

AI Research Engineer - Datadog AI Research (DAIR)

Datadog · Paris, France

›](https://jobsbyculture.com/jobs/datadog/ai-research-engineer-datadog-ai-research-dair) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

AWS Cloud Partner Solutions Architect — EMEA

Databricks · Paris, France

›](https://jobsbyculture.com/jobs/databricks/aws-cloud-partner-solutions-architect-emea-gxsot) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Client Account Lead - AI-Driven Transformation & Process Intelligence

Celonis · Paris, France

›](https://jobsbyculture.com/jobs/celonis/client-account-lead-ai-driven-transformation-process-intelligence) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive SMB -France

HubSpot · Paris, France

›](https://jobsbyculture.com/jobs/hubspot/account-executive-smb-france-eqwin) [![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

AI Research Engineer - 3D Computer Vision

Helsing · Berlin; London; Munich; Paris

›](https://jobsbyculture.com/jobs/helsing/ai-research-engineer-3d-computer-vision) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Partner Marketing Intern - Paris

Snowflake · FR-Paris

›](https://jobsbyculture.com/jobs/snowflake/partner-marketing-intern-paris) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Enterprise Sales Leader, Southern Europe

Harvey · Paris

›](https://jobsbyculture.com/jobs/harvey/enterprise-sales-leader-southern-europe) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Forward Deployed Software Engineer - Paris

OpenAI · Paris, France

›](https://jobsbyculture.com/jobs/openai/forward-deployed-software-engineer-paris) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Account Executive, Enterprise (Paris, France)

Figma · Paris, France

›](https://jobsbyculture.com/jobs/figma/account-executive-enterprise-paris-france) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, Enterprise Hunter (French fluency)

Stripe · Paris

›](https://jobsbyculture.com/jobs/stripe/account-executive-enterprise-hunter-french-fluency) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Acquisition Manager

Airbnb · Paris, France

›](https://jobsbyculture.com/jobs/airbnb/acquisition-manager-a3m64) [![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Solutions Engineer, Enterprise, France

Notion · Paris, France

›](https://jobsbyculture.com/jobs/notion/solutions-engineer-enterprise-france) [![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Sales Development Representative - French Speaker

Synthesia · Paris

›](https://jobsbyculture.com/jobs/synthesia/sales-development-representative-french-speaker) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Enterprise Account Executive

MongoDB · Paris

›](https://jobsbyculture.com/jobs/mongodb/enterprise-account-executive-bf576) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Associate Account Executive

Navan · Paris, FR

›](https://jobsbyculture.com/jobs/navan/associate-account-executive-9jtn5) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Enterprise Account Executive, Benelux

Sierra · Paris

›](https://jobsbyculture.com/jobs/sierra/enterprise-account-executive-benelux-cyp3c) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Customer Success Manager

Okta · Paris, France

›](https://jobsbyculture.com/jobs/okta/customer-success-manager-ypv08) [![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Founding Account Manager

Flexport · Paris, France

›](https://jobsbyculture.com/jobs/flexport/founding-account-manager) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Deployment Strategist, Internship

Palantir · Paris, France

›](https://jobsbyculture.com/jobs/palantir/deployment-strategist-internship) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Partnerships Lead Southern Europe

Anthropic · Paris, France

›](https://jobsbyculture.com/jobs/anthropic/partnerships-lead-southern-europe) [![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Member of Technical Staff, Training Infra Engineer

Cohere · Paris

›](https://jobsbyculture.com/jobs/cohere/member-of-technical-staff-training-infra-engineer) [![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Data/Infrastructure Advocate Engineer - EMEA Remote

Hugging Face · Paris, Île-de-France, France

›](https://jobsbyculture.com/jobs/huggingface/data-infrastructure-advocate-engineer-emea-remote) [![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Account Executive, Strategic Accounts | Southern Europe

Airtable · Paris, France

›](https://jobsbyculture.com/jobs/airtable/account-executive-strategic-accounts-southern-europe) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Enterprise Account Manager

Adyen · Paris

›](https://jobsbyculture.com/jobs/adyen/enterprise-account-manager-d4rdi)

[View all 209 jobs →](https://jobsbyculture.com/jobs?search=Paris)

## Working in AI & tech in Paris

Paris has emerged as a major AI research hub, anchored by Mistral AI and growing offices from Hugging Face, Anthropic, and others. France's strong math and engineering tradition produces world-class ML talent.

JobsByCulture tracks 209 open positions across 26 companies in Paris. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Jobs in Paris (2026) →](https://jobsbyculture.com/blog/ai-jobs-paris-2026) [AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Remote | JobsByCulture

# AI & Tech Jobs in Remote | JobsByCulture

> Browse 2,354 AI & tech jobs in Remote at 69 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/remote
Markdown: https://jobsbyculture.com/locations/remote.md
Last updated: 2026-07-14

---
Worldwide

# 🌍 _Remote_ Jobs

Fully remote roles at AI and tech companies. Work from anywhere — these companies have distributed-first cultures with async communication, flexible hours, and no mandatory office days. Filter by culture values to find remote roles that match how you work.

2,354

Open Roles

69

Companies

12

Role Types

## Companies hiring in _Remote_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Large (~800) · Glassdoor 3.7/5

Ship Fast & Iterate Remote-Friendly Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/apollo)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

Small (~200) · Glassdoor 4/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/replit)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Pinecone](https://www.google.com/s2/favicons?domain=pinecone.io&sz=128)

Pinecone

Small (~130) · Glassdoor 4.2/5

Flexible Hours Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/pinecone)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

PostHog

Small (~170) · Glassdoor 4.3/5

Open Source Transparent Async-First Remote-Friendly

](https://jobsbyculture.com/companies/posthog)[

![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Supabase

Small (~250) · Glassdoor 4.8/5

Open Source Remote-Friendly Engineering-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/supabase)[

![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Tailscale

Small (~290) · Glassdoor 4.4/5

Remote-Friendly Work-Life Balance Strong Comp & Equity Engineering-Driven

](https://jobsbyculture.com/companies/tailscale)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Grafana Labs

Large (~1,700) · Glassdoor 4.1/5

Remote-Friendly Open Source Engineering-Driven Transparent

](https://jobsbyculture.com/companies/grafanalabs)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Fireworks AI](https://www.google.com/s2/favicons?domain=fireworks.ai&sz=128)

Fireworks AI

Small (~100) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Learning & Growth

](https://jobsbyculture.com/companies/fireworksai)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Poolside](https://www.google.com/s2/favicons?domain=poolside.ai&sz=128)

Poolside

Small (~150) · Glassdoor 3.8/5

Engineering-Driven Remote-Friendly Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/poolside)[

![Descript](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

Descript

Medium (~250) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/descript)[

![Labelbox](https://www.google.com/s2/favicons?domain=labelbox.com&sz=128)

Labelbox

Medium (~350) · Glassdoor 3.2/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/labelbox)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

Chainguard

Mid (~350) · Glassdoor 4.5/5

Remote-Friendly Open Source Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/chainguard)[

![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

GitLab

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Async-First Transparent Open Source

](https://jobsbyculture.com/companies/gitlab)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Webflow

Mid (~800) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Remote-Friendly Work-Life Balance

](https://jobsbyculture.com/companies/webflow)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Abridge

Mid (~500) · Glassdoor 4.7/5

Mission-Driven Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/abridge)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Lambda

Mid (~500) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/lambda)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Ironclad

Mid (~800) · Glassdoor 4.4/5

Work-Life Balance Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/ironclad)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)[

![Twelve Labs](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

Twelve Labs

Small (~100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Direct Product Impact

](https://jobsbyculture.com/companies/twelve-labs)[

![Character AI](https://www.google.com/s2/favicons?domain=character.ai&sz=128)

Character AI

Mid (~250) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/character)[

![Stability AI](https://www.google.com/s2/favicons?domain=stability.ai&sz=128)

Stability AI

Mid (~190) · Glassdoor 3.1/5

Open Source Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/stabilityai)[

![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Lightmatter

Mid (~300) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lightmatter)[

![Benchling](https://www.google.com/s2/favicons?domain=benchling.com&sz=128)

Benchling

Mid (~800) · Glassdoor 3.5/5

Engineering-Driven Mission-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/benchling)[

![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

LaunchDarkly

Mid (~590) · Glassdoor 3.8/5

Engineering-Driven Work-Life Balance Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/launchdarkly)[

![Dropbox](https://www.google.com/s2/favicons?domain=dropbox.com&sz=128)

Dropbox

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/dropbox)[

![DevRev](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

DevRev

Mid (~800) · Glassdoor 4.1/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/devrev)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)[

![Kindred](https://www.google.com/s2/favicons?domain=livekindred.com&sz=128)

Kindred

Small (~50) · Glassdoor null/5

Direct Product Impact Ship Fast & Iterate Engineering-Driven Wears Many Hats

](https://jobsbyculture.com/companies/kindred)

## Jobs by role in Remote

Engineering757

Sales / GTM656

Product154

ML / AI81

Marketing81

Data80

Operations47

Design40

Legal37

Finance34

HR / People26

Support10

## Latest jobs in Remote

[![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Account Development Representative - BeNeLux

Samsara · Remote - Netherlands

›](https://jobsbyculture.com/jobs/samsara/account-development-representative-benelux) [![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

Account Executive - Italy

GitLab · Remote, Italy

›](https://jobsbyculture.com/jobs/gitlab/account-executive-italy) [![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Account Executive

Twilio · Remote - Australia

›](https://jobsbyculture.com/jobs/twilio/account-executive) [![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Account Manager

Instacart · United States - Remote

›](https://jobsbyculture.com/jobs/instacart/account-manager) [![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Accounting Manager, GL Operations & Intercompany

Coinbase · Remote - USA

›](https://jobsbyculture.com/jobs/coinbase/accounting-manager-gl-operations-intercompany-8rfiu) [![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Ads Conversion Modeling, Machine Learning Engineering Manager

Reddit · Remote - United States

›](https://jobsbyculture.com/jobs/reddit/ads-conversion-modeling-machine-learning-engineering-manager) [![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Commercial Account Executive, Acquisition | East | Remote

Grafana Labs · United States (Remote)

›](https://jobsbyculture.com/jobs/grafanalabs/commercial-account-executive-acquisition-east-remote) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive - Enterprise, Grower

Stripe · US-Remote, US-San Francisco, US-Chicago, US-New York, US-Seattle, US-Texas

›](https://jobsbyculture.com/jobs/stripe/account-executive-enterprise-grower-1nex5) [![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Accountant

Cresta · United States (Remote)

›](https://jobsbyculture.com/jobs/cresta/accountant) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive - Enterprise

HubSpot · Remote - USA

›](https://jobsbyculture.com/jobs/hubspot/account-executive-enterprise) [![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

AI Solutions Engineer

Chainguard · United States - Remote

›](https://jobsbyculture.com/jobs/chainguard/ai-solutions-engineer) [![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Senior Web Designer, Brand

Vanta · Remote U.S.

›](https://jobsbyculture.com/jobs/vanta/senior-web-designer-brand) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Senior Solution Engineer

Snowflake · US-NC-Remote

›](https://jobsbyculture.com/jobs/snowflake/senior-solution-engineer-jj4kz) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

AI Engineer - FDE (Forward Deployed Engineer)

Databricks · Remote - United Kingdom

›](https://jobsbyculture.com/jobs/databricks/ai-engineer-fde-forward-deployed-engineer-ij2m4) [![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Chief Audit Officer

Mercury · San Francisco, CA, New York, NY, Portland, OR, or Remote within United States

›](https://jobsbyculture.com/jobs/mercury/chief-audit-officer) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Director, Security Channels (North America)

Datadog · Colorado, USA, Remote; Illinois, USA, Remote; New York, New York, USA; New York, USA, Remote; San Francisco, California, USA; Texas, USA, Remote

›](https://jobsbyculture.com/jobs/datadog/director-security-channels-north-america) [![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Senior Director, Accounting

Deepgram · USA | Remote

›](https://jobsbyculture.com/jobs/deepgram/senior-director-accounting) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Bilingual Hybrid Development Representative (Mandarin)

Toast · Remote - US

›](https://jobsbyculture.com/jobs/toast/bilingual-hybrid-development-representative-mandarin-6y6lj) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic Fellows Program

Anthropic · London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA

›](https://jobsbyculture.com/jobs/anthropic/anthropic-fellows-program) [![Dropbox](https://www.google.com/s2/favicons?domain=dropbox.com&sz=128)

Account Executive

Dropbox · Remote - US: Select locations

›](https://jobsbyculture.com/jobs/dropbox/account-executive) [![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Customer Solution Architect (AMER)

Supabase · Remote

›](https://jobsbyculture.com/jobs/supabase/customer-solution-architect-amer) [![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Backend Engineer, Identity

Tailscale · Remote (Canada)

›](https://jobsbyculture.com/jobs/tailscale/backend-engineer-identity-79dq4) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Clean Energy and New Technology Lead

OpenAI · Remote - US

›](https://jobsbyculture.com/jobs/openai/clean-energy-and-new-technology-lead) [![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

AI Specialist

LaunchDarkly · Remote - US

›](https://jobsbyculture.com/jobs/launchdarkly/ai-specialist) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

AI Engineer, Community Support Engineering

Airbnb · China - Remote

›](https://jobsbyculture.com/jobs/airbnb/ai-engineer-community-support-engineering)

[View all 2,354 jobs →](https://jobsbyculture.com/jobs?search=Remote)

## Working in AI & tech in Remote

Fully remote roles at AI and tech companies. Work from anywhere — these companies have distributed-first cultures with async communication, flexible hours, and no mandatory office days. Filter by culture values to find remote roles that match how you work.

JobsByCulture tracks 2,354 open positions across 69 companies in Remote. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[Remote-Friendly AI Companies Hiring in 2026 →](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026) [AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in San Francisco Bay Area | JobsByCulture

# AI & Tech Jobs in San Francisco Bay Area | JobsByCulture

> Browse 3,951 AI & tech jobs in San Francisco Bay Area at 82 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/san-francisco
Markdown: https://jobsbyculture.com/locations/san-francisco.md
Last updated: 2026-07-14

---
US West Coast

# 🌉 _San Francisco Bay Area_ Jobs

The heart of Silicon Valley and AI innovation. San Francisco and the Bay Area host more AI companies per square mile than anywhere else — from frontier labs like OpenAI and Anthropic to fast-growing startups. Most roles are hybrid with 2-3 days in-office.

3,951

Open Roles

82

Companies

12

Role Types

## Companies hiring in _San Francisco Bay Area_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Large (~800) · Glassdoor 3.7/5

Ship Fast & Iterate Remote-Friendly Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/apollo)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Google DeepMind

Large (~7,000) · Glassdoor 4.2/5

Deep Work / Low Meetings Learning & Growth Engineering-Driven Diverse & Inclusive

](https://jobsbyculture.com/companies/deepmind)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

Small (~200) · Glassdoor 4/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/replit)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Modal

Small (~110) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Deep Work / Low Meetings Open Source

](https://jobsbyculture.com/companies/modal)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Pylon](https://www.google.com/s2/favicons?domain=usepylon.com&sz=128)

Pylon

Small (~70) · Glassdoor 3/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/pylon)[

![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

incident.io

Small (~140) · Glassdoor 4.5/5

Transparent Safe to Fail Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/incidentio)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Baseten

Small (~100) · Glassdoor 4.3/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/baseten)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Wayve

Mid (~850) · Glassdoor 4.4/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/wayve)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Contentful

Large (~1,000) · Glassdoor 3.4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/contentful)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Mid (~300) · Glassdoor 4.5/5

Remote-Friendly Open Source Flat Hierarchy Transparent

](https://jobsbyculture.com/companies/n8n)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Descript](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

Descript

Medium (~250) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/descript)[

![Labelbox](https://www.google.com/s2/favicons?domain=labelbox.com&sz=128)

Labelbox

Medium (~350) · Glassdoor 3.2/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/labelbox)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![Granola](https://www.google.com/s2/favicons?domain=granola.ai&sz=128)

Granola

Small (~50) · Glassdoor 5/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/granola)[

![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Mercor

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Strong Comp & Equity

](https://jobsbyculture.com/companies/mercor)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Writer](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

Writer

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Open Source

](https://jobsbyculture.com/companies/writer)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Abridge

Mid (~500) · Glassdoor 4.7/5

Mission-Driven Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/abridge)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Lambda

Mid (~500) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/lambda)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Ironclad

Mid (~800) · Glassdoor 4.4/5

Work-Life Balance Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/ironclad)[

![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Hippocratic AI

Small (~264) · Glassdoor 3.9/5

Mission-Driven Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/hippocratic-ai)[

![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Exa

Small (~120) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/exa)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)[

![Figure AI](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

Figure AI

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/figureai)[

![Twelve Labs](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

Twelve Labs

Small (~100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Direct Product Impact

](https://jobsbyculture.com/companies/twelve-labs)[

![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Cartesia

Small (~90) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/cartesia)[

![Character AI](https://www.google.com/s2/favicons?domain=character.ai&sz=128)

Character AI

Mid (~250) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/character)[

![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Lightmatter

Mid (~300) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lightmatter)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Benchling](https://www.google.com/s2/favicons?domain=benchling.com&sz=128)

Benchling

Mid (~800) · Glassdoor 3.5/5

Engineering-Driven Mission-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/benchling)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![WorkOS](https://www.google.com/s2/favicons?domain=workos.com&sz=128)

WorkOS

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/workos)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)[

![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Goodfire

Small (~50) · Glassdoor null/5

Engineering-Driven Ethical AI / Safety Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/goodfire)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Jobs by role in San Francisco Bay Area

Engineering1576

Sales / GTM500

Product325

Marketing205

ML / AI182

Data121

Operations119

HR / People88

Design87

Legal77

Finance68

Support8

## Latest jobs in San Francisco Bay Area

[![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Technical Program Manager, Compute Infrastructure

OpenAI · San Francisco

›](https://jobsbyculture.com/jobs/openai/technical-program-manager-compute-infrastructure) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Amazon GTM Partnership, Startups

Anthropic · San Francisco, CA | New York City, NY | Seattle, WA

›](https://jobsbyculture.com/jobs/anthropic/amazon-gtm-partnership-startups) [![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

Account Executive - Greenfield

CoreWeave · New York, NY / Chicago, IL / Seattle, WA / San Francisco, CA

›](https://jobsbyculture.com/jobs/coreweave/account-executive-greenfield) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Accounting Manager

Databricks · San Francisco, California

›](https://jobsbyculture.com/jobs/databricks/accounting-manager) [![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Staff Product Security Engineer

Crusoe · San Francisco, CA - US

›](https://jobsbyculture.com/jobs/crusoe/staff-product-security-engineer) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Engineering Manager, Bedrock

Snowflake · US-CA-Menlo Park

›](https://jobsbyculture.com/jobs/snowflake/engineering-manager-bedrock) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, AI Sales (Grower)

Stripe · San Francisco, CA

›](https://jobsbyculture.com/jobs/stripe/account-executive-ai-sales-grower) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Staff Software Engineer, AI Platform

Harvey · San Francisco

›](https://jobsbyculture.com/jobs/harvey/staff-software-engineer-ai-platform-67uz9) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Account Executive, Enterprise

Figma · San Francisco, CA • New York, NY • United States

›](https://jobsbyculture.com/jobs/figma/account-executive-enterprise) [![Figure AI](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

AI Training Infrastructure Engineer – Humanoid Whole Body Control

Figure AI · San Jose, CA

›](https://jobsbyculture.com/jobs/figureai/ai-training-infrastructure-engineer-humanoid-whole-body-control) [![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

AI Builder Intern

Scale AI · San Francisco, CA; New York, NY

›](https://jobsbyculture.com/jobs/scale/ai-builder-intern) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Account Executive, Mid Market

Brex · San Francisco, California, United States

›](https://jobsbyculture.com/jobs/brex/account-executive-mid-market-7stww) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Area Sales Director, Strategic

Okta · San Francisco, California

›](https://jobsbyculture.com/jobs/okta/area-sales-director-strategic-tsaam) [![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Design Engineer

Replit · Foster City, CA

›](https://jobsbyculture.com/jobs/replit/design-engineer) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sales Engineer

Sierra · San Francisco, CA

›](https://jobsbyculture.com/jobs/sierra/sales-engineer-yewqx) [![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Outbound Business Development Representative, AMER

Notion · San Francisco, California

›](https://jobsbyculture.com/jobs/notion/outbound-business-development-representative-amer-cary4) [![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Software Engineer - Internal Platform

Baseten · San Francisco

›](https://jobsbyculture.com/jobs/baseten/software-engineer-internal-platform) [![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Fraud and Abuse Operations Analyst

Plaid · San Francisco HQ

›](https://jobsbyculture.com/jobs/plaid/fraud-and-abuse-operations-analyst) [![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

AI Success Manager, West

Glean · San Francisco, CA

›](https://jobsbyculture.com/jobs/glean/ai-success-manager-west-n5mti) [![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Enterprise Account Executive

Decagon · San Francisco

›](https://jobsbyculture.com/jobs/decagon/enterprise-account-executive-pveqn) [![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Recruiter

Mercor · San Francisco

›](https://jobsbyculture.com/jobs/mercor/recruiter) [![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Software Engineer, Developer Productivity

Cursor (Anysphere) · San Francisco

›](https://jobsbyculture.com/jobs/cursor/software-engineer-developer-productivity) [![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Accountant

Chime · San Francisco, CA, USA

›](https://jobsbyculture.com/jobs/chime/accountant) [![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Member of Technical Staff (Software Engineer, Monetization)

Perplexity AI · San Francisco

›](https://jobsbyculture.com/jobs/perplexity/member-of-technical-staff-software-engineer-monetization) [![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Chief Audit Officer

Mercury · San Francisco, CA, New York, NY, Portland, OR, or Remote within United States

›](https://jobsbyculture.com/jobs/mercury/chief-audit-officer)

[View all 3,951 jobs →](https://jobsbyculture.com/jobs?search=San%20Francisco%20Bay%20Area)

## Working in AI & tech in San Francisco Bay Area

The heart of Silicon Valley and AI innovation. San Francisco and the Bay Area host more AI companies per square mile than anywhere else — from frontier labs like OpenAI and Anthropic to fast-growing startups. Most roles are hybrid with 2-3 days in-office.

JobsByCulture tracks 3,951 open positions across 82 companies in San Francisco Bay Area. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[Best AI Companies for Work-Life Balance in San Francisco →](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-san-francisco-2026) [AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in São Paulo | JobsByCulture

# AI & Tech Jobs in São Paulo | JobsByCulture

> Browse 75 AI & tech jobs in São Paulo at 13 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/sao-paulo
Markdown: https://jobsbyculture.com/locations/sao-paulo.md
Last updated: 2026-07-14

---
Latin America

# 🇧🇷 _São Paulo_ Jobs

São Paulo is Latin America's largest tech hub, with global companies building engineering and sales teams to serve the Brazilian and LATAM markets. Growing AI adoption and a large talent pool.

75

Open Roles

13

Companies

9

Role Types

## Companies hiring in _São Paulo_

[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)

## Jobs by role in São Paulo

Sales / GTM33

Engineering14

Data4

Product3

Operations3

HR / People2

Marketing2

Design1

Finance1

## Latest jobs in São Paulo

[![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Commercial Account Executive - Sao Paulo (Portuguese Speaking)

Datadog · Sao Paulo, Brazil

›](https://jobsbyculture.com/jobs/datadog/commercial-account-executive-sao-paulo-portuguese-speaking) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

BizOps Senior Manager (Technical)

Brex · São Paulo, São Paulo, Brazil

›](https://jobsbyculture.com/jobs/brex/bizops-senior-manager-technical-d8nk1) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Account Manager

Adyen · São Paulo

›](https://jobsbyculture.com/jobs/adyen/account-manager-4ac5a) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Account Executive, SMB, Spanish & Portuguese Speaking (São Paulo, Brazil)

Figma · São Paulo, Brazil

›](https://jobsbyculture.com/jobs/figma/account-executive-smb-spanish-portuguese-speaking-s-o-paulo-brazil) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Account Executive, Growth

MongoDB · São Paulo

›](https://jobsbyculture.com/jobs/mongodb/account-executive-growth-obky5) [![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Digital Strategy Data Analyst

Sensor Tower · São Paulo, Brazil

›](https://jobsbyculture.com/jobs/sensor-tower/digital-strategy-data-analyst) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Director, Lakebase Sales Specialists

Databricks · Sao Paulo, Brazil

›](https://jobsbyculture.com/jobs/databricks/director-lakebase-sales-specialists-3icod) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Regional Client Partner, Ads Solutions

OpenAI · São Paulo

›](https://jobsbyculture.com/jobs/openai/regional-client-partner-ads-solutions-71ocb) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Enterprise Account Executive, Brazil

Okta · São Paulo, Brazil

›](https://jobsbyculture.com/jobs/okta/enterprise-account-executive-brazil) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Creative Business Strategies (CBS) Manager - São Paulo (Contractor)

Spotify · São Paulo

›](https://jobsbyculture.com/jobs/spotify/creative-business-strategies-cbs-manager-s-o-paulo-contractor) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Software Engineer, Brazil

Stripe · Sao Paulo

›](https://jobsbyculture.com/jobs/stripe/software-engineer-brazil) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Office Manager, São Paulo

Airbnb · São Paulo, Brazil

›](https://jobsbyculture.com/jobs/airbnb/office-manager-s-o-paulo) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Account Executive, Latin America

Snowflake · BR-Sao Paulo-WW

›](https://jobsbyculture.com/jobs/snowflake/account-executive-latin-america-rlear) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Customer Success Associate LATAM (Portuguese-speaking)

Datadog · Sao Paulo, Brazil

›](https://jobsbyculture.com/jobs/datadog/customer-success-associate-latam-portuguese-speaking) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex Internship Program

Brex · São Paulo, São Paulo, Brazil

›](https://jobsbyculture.com/jobs/brex/brex-internship-program) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Account Manager (Affirmative Action for Black Community)

Adyen · São Paulo

›](https://jobsbyculture.com/jobs/adyen/account-manager-affirmative-action-for-black-community) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Business Recruiter (São Paulo, Brazil)

Figma · São Paulo, Brazil

›](https://jobsbyculture.com/jobs/figma/business-recruiter-s-o-paulo-brazil) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Engagement Manager

MongoDB · São Paulo

›](https://jobsbyculture.com/jobs/mongodb/engagement-manager-z8rjs) [![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Senior/Mid Frontend Engineer - React

Sensor Tower · São Paulo, Brazil

›](https://jobsbyculture.com/jobs/sensor-tower/senior-mid-frontend-engineer-react-31d04) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Field Technical Program Manager, Forward Deployed Engineering - LATAM

Databricks · Sao Paulo, Brazil

›](https://jobsbyculture.com/jobs/databricks/field-technical-program-manager-forward-deployed-engineering-latam) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Solutions Engineer, Pre-Sales

OpenAI · São Paulo

›](https://jobsbyculture.com/jobs/openai/solutions-engineer-pre-sales-d1xwb) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Sr. Commercial Account Executive, Brazil

Okta · São Paulo, Brazil

›](https://jobsbyculture.com/jobs/okta/sr-commercial-account-executive-brazil) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Manager, Partner Product and Delivery

Spotify · São Paulo

›](https://jobsbyculture.com/jobs/spotify/manager-partner-product-and-delivery-s2u21) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Customer Success Manager - LATAM (Portuguese-speaking)

Datadog · Sao Paulo, Brazil

›](https://jobsbyculture.com/jobs/datadog/customer-success-manager-latam-portuguese-speaking) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex Rotational Program

Brex · São Paulo, São Paulo, Brazil

›](https://jobsbyculture.com/jobs/brex/brex-rotational-program-74x2m)

[View all 75 jobs →](https://jobsbyculture.com/jobs?search=S%C3%A3o%20Paulo)

## Working in AI & tech in São Paulo

São Paulo is Latin America's largest tech hub, with global companies building engineering and sales teams to serve the Brazilian and LATAM markets. Growing AI adoption and a large talent pool.

JobsByCulture tracks 75 open positions across 13 companies in São Paulo. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Seattle | JobsByCulture

# AI & Tech Jobs in Seattle | JobsByCulture

> Browse 649 AI & tech jobs in Seattle at 28 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/seattle
Markdown: https://jobsbyculture.com/locations/seattle.md
Last updated: 2026-07-14

---
US West Coast

# 🌲 _Seattle_ Jobs

Seattle's tech ecosystem extends well beyond the big cloud providers. AI companies value the deep engineering talent pool, lower cost of living versus SF, and no state income tax. Many roles offer hybrid flexibility.

649

Open Roles

28

Companies

12

Role Types

## Companies hiring in _Seattle_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Google DeepMind

Large (~7,000) · Glassdoor 4.2/5

Deep Work / Low Meetings Learning & Growth Engineering-Driven Diverse & Inclusive

](https://jobsbyculture.com/companies/deepmind)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Lambda

Mid (~500) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/lambda)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Hippocratic AI

Small (~264) · Glassdoor 3.9/5

Mission-Driven Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/hippocratic-ai)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)

## Jobs by role in Seattle

Engineering316

Product78

Sales / GTM52

Marketing25

Data23

ML / AI21

Legal16

Design13

Finance12

HR / People12

Operations12

Support2

## Latest jobs in Seattle

[![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

Account Executive - Greenfield

CoreWeave · New York, NY / Chicago, IL / Seattle, WA / San Francisco, CA

›](https://jobsbyculture.com/jobs/coreweave/account-executive-greenfield) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Amazon GTM Partnership, Startups

Anthropic · San Francisco, CA | New York City, NY | Seattle, WA

›](https://jobsbyculture.com/jobs/anthropic/amazon-gtm-partnership-startups) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Corporate Counsel, IP

Okta · Bellevue, Washington; Chicago, Illinois; New York, New York; Washington, DC

›](https://jobsbyculture.com/jobs/okta/corporate-counsel-ip-iigpr) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive - Enterprise, Grower

Stripe · US-Remote, US-San Francisco, US-Chicago, US-New York, US-Seattle, US-Texas

›](https://jobsbyculture.com/jobs/stripe/account-executive-enterprise-grower-1nex5) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Customer Enablement Specialist

Databricks · Bellevue, Washington

›](https://jobsbyculture.com/jobs/databricks/customer-enablement-specialist-d34qn) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Account Executive, Mid Market

Brex · Seattle, Washington, United States

›](https://jobsbyculture.com/jobs/brex/account-executive-mid-market-oowyb) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Principal Product Manager - Zero-Copy Integrations

Snowflake · US-WA-Bellevue

›](https://jobsbyculture.com/jobs/snowflake/principal-product-manager-zero-copy-integrations) [![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Crypto Product Compliance Lead

Robinhood · Bellevue, WA; Chicago, IL; Denver, CO; Lake Mary, FL; Menlo Park, CA; New York, NY; Washington, DC; Westlake, TX

›](https://jobsbyculture.com/jobs/robinhood/crypto-product-compliance-lead-it49l) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Security Engineer, Application Security

OpenAI · Seattle

›](https://jobsbyculture.com/jobs/openai/security-engineer-application-security-snyyf) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Forward Deployed Software Engineer - Autonomous Systems C2

Palantir · Seattle, WA

›](https://jobsbyculture.com/jobs/palantir/forward-deployed-software-engineer-autonomous-systems-c2-vmk4c) [![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Head of Policy & Security Research Lab

Scale AI · London, UK; San Francisco, CA; Seattle, WA; New York, NY; Washington, DC

›](https://jobsbyculture.com/jobs/scale/head-of-policy-security-research-lab) [![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Account Manager, Flexport Capital

Flexport · Bellevue, Washington, United States; New York City, New York, United States; San Francisco, California, United States

›](https://jobsbyculture.com/jobs/flexport/account-manager-flexport-capital-u7who) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Product Marketing Manager

MongoDB · Austin; New York City; San Francisco; Seattle

›](https://jobsbyculture.com/jobs/mongodb/product-marketing-manager) [![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Senior Category Manager - Mechanical

Crusoe · Bellevue, WA - US

›](https://jobsbyculture.com/jobs/crusoe/senior-category-manager-mechanical-o5ay1) [![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Account Executive, Commercial

Samsara · Seattle, WA

›](https://jobsbyculture.com/jobs/samsara/account-executive-commercial-tb0ss) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Bilingual Growth Account Executive - Mandarin

Toast · Seattle, WA

›](https://jobsbyculture.com/jobs/toast/bilingual-growth-account-executive-mandarin-iu9s3) [![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Product Security Engineer

Airtable · San Francisco, CA; New York, NY; Remote (Seattle, WA only)

›](https://jobsbyculture.com/jobs/airtable/product-security-engineer) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Staff AI Product Designer, Gemini Assistant

Google DeepMind · Mountain View, California, US; New York City, New York, US; Seattle, Washington, US

›](https://jobsbyculture.com/jobs/deepmind/staff-ai-product-designer-gemini-assistant) [![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Senior Software Engineer, Backend

Plaid · Seattle Office

›](https://jobsbyculture.com/jobs/plaid/senior-software-engineer-backend-hboku) [![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Senior AI/ML Engineer

Chime · Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA; Seattle, WA, USA

›](https://jobsbyculture.com/jobs/chime/senior-ai-ml-engineer) [![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

Deployed Engineer (Seattle)

LangChain · Seattle, WA

›](https://jobsbyculture.com/jobs/langchain/deployed-engineer-seattle) [![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Principal/Staff Software Engineer

Synthesia · Seattle

›](https://jobsbyculture.com/jobs/synthesia/principal-staff-software-engineer) [![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

IT Support Analyst

Lambda · Bellevue Office

›](https://jobsbyculture.com/jobs/lambda/it-support-analyst) [![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Senior Technical Success Manager III - Strategic

Amplitude · Arlington, VA; Atlanta, GA; Austin, TX; Boston, MA; Charlotte, NC; Chicago, IL; Dallas, TX; Denver, CO; Fort Lauderdale, FL; Hartford, CT; Houston, TX; Indianapolis, Indiana; Jacksonville, FL; Kansas City, Missouri; Los Angeles, CA; Miami, FL; Minneapolis, Minnesota; Nashville, TN; New Haven, CT; New York, NY; Ohio; Orlando, FL; Philadelphia, PA; Phoenix, AZ; Portland, OR; Raleigh, NC; Remote - Central; Remote - East; Remote - USA; San Diego, CA; San Francisco, CA; Scottsdale, AZ; Seattle, WA; St Louis, Missouri; Toronto, ON, Canada; Vancouver, BC, Canada; Washington, DC

›](https://jobsbyculture.com/jobs/amplitude/senior-technical-success-manager-iii-strategic) [![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Senior Staff Research Scientist, Speech Technologies

Hippocratic AI · Bellevue, WA

›](https://jobsbyculture.com/jobs/hippocratic-ai/senior-staff-research-scientist-speech-technologies)

[View all 649 jobs →](https://jobsbyculture.com/jobs?search=Seattle)

## Working in AI & tech in Seattle

Seattle's tech ecosystem extends well beyond the big cloud providers. AI companies value the deep engineering talent pool, lower cost of living versus SF, and no state income tax. Many roles offer hybrid flexibility.

JobsByCulture tracks 649 open positions across 28 companies in Seattle. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Seoul | JobsByCulture

# AI & Tech Jobs in Seoul | JobsByCulture

> Browse 81 AI & tech jobs in Seoul at 14 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/seoul
Markdown: https://jobsbyculture.com/locations/seoul.md
Last updated: 2026-07-14

---
Asia Pacific

# 🇰🇷 _Seoul_ Jobs

Seoul is a rapidly growing AI market with major global companies establishing Korean offices and strong local AI talent from top universities like KAIST and Seoul National University.

81

Open Roles

14

Companies

8

Role Types

## Companies hiring in _Seoul_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)[

![Twelve Labs](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

Twelve Labs

Small (~100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Direct Product Impact

](https://jobsbyculture.com/companies/twelve-labs)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)

## Jobs by role in Seoul

Sales / GTM32

Engineering20

ML / AI8

Marketing4

HR / People3

Product2

Operations1

Legal1

## Latest jobs in Seoul

[![Twelve Labs](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

Senior Infrastructure Engineer

Twelve Labs · Seoul, South Korea

›](https://jobsbyculture.com/jobs/twelve-labs/senior-infrastructure-engineer) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Commercial Account Executive

Datadog · Seoul, South Korea

›](https://jobsbyculture.com/jobs/datadog/commercial-account-executive-9hmou) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

AI Engineer - FDE (Forward Deployed Engineer)

Databricks · Seoul, South Korea

›](https://jobsbyculture.com/jobs/databricks/ai-engineer-fde-forward-deployed-engineer-rftk8) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Customer Success Manager, Ads Solutions

OpenAI · Seoul, South Korea

›](https://jobsbyculture.com/jobs/openai/customer-success-manager-ads-solutions-c5r5w) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Engagement Manager

MongoDB · Seoul

›](https://jobsbyculture.com/jobs/mongodb/engagement-manager-a26mn) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Business Development Representative

Anthropic · Seoul, South Korea

›](https://jobsbyculture.com/jobs/anthropic/business-development-representative) [![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Commercial Sales Manager, Korea

Notion · Seoul, South Korea

›](https://jobsbyculture.com/jobs/notion/commercial-sales-manager-korea) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Office Manager, Seoul

Airbnb · Seoul, South Korea

›](https://jobsbyculture.com/jobs/airbnb/office-manager-seoul) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Assistant Manager, Music Marketing - South Korea (Contractor)

Spotify · Seoul

›](https://jobsbyculture.com/jobs/spotify/assistant-manager-music-marketing-south-korea-contractor) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Partner Development Manager - Data Cloud Products, Korea

Snowflake · Fins Only-KR-Seoul-WW

›](https://jobsbyculture.com/jobs/snowflake/partner-development-manager-data-cloud-products-korea) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Deployment Strategist

Palantir · Seoul, South Korea

›](https://jobsbyculture.com/jobs/palantir/deployment-strategist-7p1ht) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Principal Value Engineer

Celonis · Seoul, South Korea

›](https://jobsbyculture.com/jobs/celonis/principal-value-engineer) [![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Account Manager

Flexport · Seoul, South Korea

›](https://jobsbyculture.com/jobs/flexport/account-manager-niddp) [![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Senior Marketing Specialist, APAC

Sensor Tower · Seoul, South Korea

›](https://jobsbyculture.com/jobs/sensor-tower/senior-marketing-specialist-apac) [![Twelve Labs](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

Senior Software Engineer, ML Data

Twelve Labs · Seoul, South Korea

›](https://jobsbyculture.com/jobs/twelve-labs/senior-software-engineer-ml-data) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Commercial Account Executive

Datadog · Seoul, South Korea

›](https://jobsbyculture.com/jobs/datadog/commercial-account-executive-3u6v9) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

APJ Manufacturing & Automotive Industry GTM Leader

Databricks · Seoul, South Korea; Singapore; Tokyo, Japan

›](https://jobsbyculture.com/jobs/databricks/apj-manufacturing-automotive-industry-gtm-leader) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Solutions Engineer

OpenAI · Seoul, South Korea

›](https://jobsbyculture.com/jobs/openai/solutions-engineer-v7jm6) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Enterprise Account Executive, Growth

MongoDB · Seoul

›](https://jobsbyculture.com/jobs/mongodb/enterprise-account-executive-growth-q34jz) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Enterprise Account Executive, Conglomerate

Anthropic · Seoul, South Korea

›](https://jobsbyculture.com/jobs/anthropic/enterprise-account-executive-conglomerate) [![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Customer Success Manager, Korea

Notion · Seoul, South Korea

›](https://jobsbyculture.com/jobs/notion/customer-success-manager-korea) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Policy Manager, Korea

Airbnb · Seoul, South Korea

›](https://jobsbyculture.com/jobs/airbnb/policy-manager-korea) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Associate Music Editor, South Korea (Contract)

Spotify · Seoul

›](https://jobsbyculture.com/jobs/spotify/associate-music-editor-south-korea-contract) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Senior Solution Engineer

Snowflake · KR-Seoul

›](https://jobsbyculture.com/jobs/snowflake/senior-solution-engineer-t8ng4) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Forward Deployed Software Engineer

Palantir · Seoul, South Korea

›](https://jobsbyculture.com/jobs/palantir/forward-deployed-software-engineer-ax7mp)

[View all 81 jobs →](https://jobsbyculture.com/jobs?search=Seoul)

## Working in AI & tech in Seoul

Seoul is a rapidly growing AI market with major global companies establishing Korean offices and strong local AI talent from top universities like KAIST and Seoul National University.

JobsByCulture tracks 81 open positions across 14 companies in Seoul. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Singapore | JobsByCulture

# AI & Tech Jobs in Singapore | JobsByCulture

> Browse 253 AI & tech jobs in Singapore at 39 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/singapore
Markdown: https://jobsbyculture.com/locations/singapore.md
Last updated: 2026-07-14

---
Asia Pacific

# 🇸🇬 _Singapore_ Jobs

Singapore is Southeast Asia's AI hub, with government investment in AI research and a strategic location bridging East and West. Growing presence of AI labs and startups, plus regional offices of major tech companies.

253

Open Roles

39

Companies

12

Role Types

## Companies hiring in _Singapore_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Tailscale

Small (~290) · Glassdoor 4.4/5

Remote-Friendly Work-Life Balance Strong Comp & Equity Engineering-Driven

](https://jobsbyculture.com/companies/tailscale)[

![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Grafana Labs

Large (~1,700) · Glassdoor 4.1/5

Remote-Friendly Open Source Engineering-Driven Transparent

](https://jobsbyculture.com/companies/grafanalabs)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

GitLab

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Async-First Transparent Open Source

](https://jobsbyculture.com/companies/gitlab)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Exa

Small (~120) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/exa)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

LaunchDarkly

Mid (~590) · Glassdoor 3.8/5

Engineering-Driven Work-Life Balance Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/launchdarkly)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)[

![DevRev](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

DevRev

Mid (~800) · Glassdoor 4.1/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/devrev)

## Jobs by role in Singapore

Sales / GTM92

Engineering59

Marketing14

HR / People10

Operations9

Legal7

Support6

Finance4

Data4

Product3

Design2

ML / AI2

## Latest jobs in Singapore

[![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, Cross Border China

Stripe · Singapore

›](https://jobsbyculture.com/jobs/stripe/account-executive-cross-border-china) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Product Manufacturing Engineer

OpenAI · Singapore

›](https://jobsbyculture.com/jobs/openai/product-manufacturing-engineer) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Account Executive - Public Sector

Databricks · Singapore

›](https://jobsbyculture.com/jobs/databricks/account-executive-public-sector) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Commercial Account Executive (Hong Kong Market)

Datadog · Singapore, Singapore

›](https://jobsbyculture.com/jobs/datadog/commercial-account-executive-hong-kong-market) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Account Executive ( Bahasa, Thai or Vietnamese Speaker)

MongoDB · Singapore

›](https://jobsbyculture.com/jobs/mongodb/account-executive-bahasa-thai-or-vietnamese-speaker) [![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

IT Operations Specialist

CoreWeave · Remote, Singapore

›](https://jobsbyculture.com/jobs/coreweave/it-operations-specialist-c63hg) [![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

Revenue Partnerships

ElevenLabs · Singapore

›](https://jobsbyculture.com/jobs/elevenlabs/revenue-partnerships-jhaqj) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

APAC Lead - Payment Method Compliance

Adyen · Singapore

›](https://jobsbyculture.com/jobs/adyen/apac-lead-payment-method-compliance) [![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Technical Support Engineering Manager, Singapore, Australia

Cursor (Anysphere) · Singapore

›](https://jobsbyculture.com/jobs/cursor/technical-support-engineering-manager-singapore-australia) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Software Engineer, Agent

Sierra · Singapore

›](https://jobsbyculture.com/jobs/sierra/software-engineer-agent-hn91d) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Commercial Counsel, APAC

Anthropic · Singapore

›](https://jobsbyculture.com/jobs/anthropic/commercial-counsel-apac-s4isd) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Account Executive, Enterprise (Singapore)

Figma · Singapore

›](https://jobsbyculture.com/jobs/figma/account-executive-enterprise-singapore) [![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Deployed Engineer - APAC

Cognition · Singapore

›](https://jobsbyculture.com/jobs/cognition/deployed-engineer-apac-2uivn) [![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Software Engineer, Infrastructure

Exa · Singapore

›](https://jobsbyculture.com/jobs/exa/software-engineer-infrastructure-ldwsl) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Head of Growth Marketing, Asia

Airbnb · Singapore

›](https://jobsbyculture.com/jobs/airbnb/head-of-growth-marketing-asia) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Partner Development Manager - ASEAN (GSI)

Snowflake · SG-Singapore

›](https://jobsbyculture.com/jobs/snowflake/partner-development-manager-asean-gsi) [![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Concierge Specialist IV

Coinbase · Hybrid - Singapore

›](https://jobsbyculture.com/jobs/coinbase/concierge-specialist-iv-9iyyn) [![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Member of Technical Staff, MLE \[Singapore\]

Cohere · Singapore

›](https://jobsbyculture.com/jobs/cohere/member-of-technical-staff-mle-singapore) [![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

Customer Success Architect, Singapore

GitLab · Remote, Singapore

›](https://jobsbyculture.com/jobs/gitlab/customer-success-architect-singapore) [![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Enterprise Account Executive, Malaysia

Elastic · Singapore

›](https://jobsbyculture.com/jobs/elastic/enterprise-account-executive-malaysia) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Head of Marketing APJ

Okta · Singapore

›](https://jobsbyculture.com/jobs/okta/head-of-marketing-apj) [![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Solutions Engineer (Singapore) - Commercial

Tailscale · Remote (Singapore)

›](https://jobsbyculture.com/jobs/tailscale/solutions-engineer-singapore-commercial) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Sales Manager, Enterprise

Harvey · Singapore

›](https://jobsbyculture.com/jobs/harvey/sales-manager-enterprise-32qg1) [![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Channel Partner Manager, South Asia

Asana · Singapore

›](https://jobsbyculture.com/jobs/asana/channel-partner-manager-south-asia) [![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

New Business Account Executive

Twilio · Remote - Singapore

›](https://jobsbyculture.com/jobs/twilio/new-business-account-executive-ieuvn)

[View all 253 jobs →](https://jobsbyculture.com/jobs?search=Singapore)

## Working in AI & tech in Singapore

Singapore is Southeast Asia's AI hub, with government investment in AI research and a strategic location bridging East and West. Growing presence of AI labs and startups, plus regional offices of major tech companies.

JobsByCulture tracks 253 open positions across 39 companies in Singapore. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Stockholm | JobsByCulture

# AI & Tech Jobs in Stockholm | JobsByCulture

> Browse 98 AI & tech jobs in Stockholm at 14 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/stockholm
Markdown: https://jobsbyculture.com/locations/stockholm.md
Last updated: 2026-07-14

---
Europe

# 🇸🇪 _Stockholm_ Jobs

Stockholm punches above its weight in tech, having produced Spotify, Klarna, and King. Growing AI presence with competitive compensation, excellent quality of life, and strong engineering talent from KTH and Stockholm University.

98

Open Roles

14

Companies

11

Role Types

## Companies hiring in _Stockholm_

[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Modal

Small (~110) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Deep Work / Low Meetings Open Source

](https://jobsbyculture.com/companies/modal)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)

## Jobs by role in Stockholm

Engineering36

Sales / GTM23

Data6

Product5

Design4

ML / AI2

Marketing2

Support1

Legal1

Finance1

HR / People1

## Latest jobs in Stockholm

[![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Data Platform Engineer

Lovable · Stockholm

›](https://jobsbyculture.com/jobs/lovable/data-platform-engineer) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Core Account Executive, Nordics (Digital Natives)

Databricks · Stockholm, Sweden

›](https://jobsbyculture.com/jobs/databricks/core-account-executive-nordics-digital-natives) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Analytics Engineer II

Spotify · Stockholm

›](https://jobsbyculture.com/jobs/spotify/analytics-engineer-ii) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Enterprise Account Executive Nordics - Manufacturing & Automative

Celonis · Stockholm, Sweden

›](https://jobsbyculture.com/jobs/celonis/enterprise-account-executive-nordics-manufacturing-automative) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Enterprise Sales Engineer - Nordics

Datadog · Copenhagen, Denmark; Stockholm, Sweden

›](https://jobsbyculture.com/jobs/datadog/enterprise-sales-engineer-nordics) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Account Director, Digital Natives - Nordics

OpenAI · Stockholm, Sweden

›](https://jobsbyculture.com/jobs/openai/account-director-digital-natives-nordics) [![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Member of Technical Staff - Systems

Modal · Stockholm

›](https://jobsbyculture.com/jobs/modal/member-of-technical-staff-systems-qbs8q) [![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Deployed AI Engineer

Helsing · Berlin; London; Munich; Paris; Stockholm; Tallinn

›](https://jobsbyculture.com/jobs/helsing/deployed-ai-engineer) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Senior Field Marketing Manager

Snowflake · SE-Stockholm-MSO

›](https://jobsbyculture.com/jobs/snowflake/senior-field-marketing-manager-fqid4) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Enterprise Account Executive

Harvey · Stockholm

›](https://jobsbyculture.com/jobs/harvey/enterprise-account-executive-bogti) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Forward Deployed Software Engineer

Palantir · Stockholm, Sweden

›](https://jobsbyculture.com/jobs/palantir/forward-deployed-software-engineer-s7o3u) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Integration Engineer (Client facing), Professional Services

Stripe · Stockholm

›](https://jobsbyculture.com/jobs/stripe/integration-engineer-client-facing-professional-services-q6f5m) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Senior Solutions Architect

MongoDB · Stockholm

›](https://jobsbyculture.com/jobs/mongodb/senior-solutions-architect-9unpz) [![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Senior Solutions Engineer

Amplitude · Stockholm, Sweden

›](https://jobsbyculture.com/jobs/amplitude/senior-solutions-engineer) [![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Research Engineering Lead

Lovable · Stockholm

›](https://jobsbyculture.com/jobs/lovable/research-engineering-lead) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Delivery Solutions Architect

Databricks · Finland; Remote - Denmark; Stockholm, Sweden

›](https://jobsbyculture.com/jobs/databricks/delivery-solutions-architect-to1g0) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Cloud Security Engineer

Spotify · Stockholm

›](https://jobsbyculture.com/jobs/spotify/cloud-security-engineer) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Enterprise Architect Director

Celonis · Stockholm, Sweden

›](https://jobsbyculture.com/jobs/celonis/enterprise-architect-director-ja8bd) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Enterprise Sales Executive (Sweden)

Datadog · Stockholm, Sweden

›](https://jobsbyculture.com/jobs/datadog/enterprise-sales-executive-sweden) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Account Director, Large Enterprise

OpenAI · Stockholm, Sweden

›](https://jobsbyculture.com/jobs/openai/account-director-large-enterprise-7wiaa) [![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Forward Deployed Engineer - Systems

Modal · Stockholm

›](https://jobsbyculture.com/jobs/modal/forward-deployed-engineer-systems-bfg4g) [![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Software Engineer - Backend

Helsing · Berlin; London; Munich; Paris; Stockholm; Tallinn

›](https://jobsbyculture.com/jobs/helsing/software-engineer-backend) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Enterprise Account Executive - Expansion

Snowflake · SE-Stockholm-MSO

›](https://jobsbyculture.com/jobs/snowflake/enterprise-account-executive-expansion-jwurg) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Recruiting Operations Manager

Harvey · Stockholm

›](https://jobsbyculture.com/jobs/harvey/recruiting-operations-manager-krq4p) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Site Reliability Operations Analyst

Palantir · Stockholm, Sweden

›](https://jobsbyculture.com/jobs/palantir/site-reliability-operations-analyst)

[View all 98 jobs →](https://jobsbyculture.com/jobs?search=Stockholm)

## Working in AI & tech in Stockholm

Stockholm punches above its weight in tech, having produced Spotify, Klarna, and King. Growing AI presence with competitive compensation, excellent quality of life, and strong engineering talent from KTH and Stockholm University.

JobsByCulture tracks 98 open positions across 14 companies in Stockholm. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Sydney | JobsByCulture

# AI & Tech Jobs in Sydney | JobsByCulture

> Browse 149 AI & tech jobs in Sydney at 30 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/sydney
Markdown: https://jobsbyculture.com/locations/sydney.md
Last updated: 2026-07-14

---
Asia Pacific

# 🇦🇺 _Sydney_ Jobs

Sydney leads Australia's AI scene with regional offices for major global companies and a growing local startup ecosystem. Strong talent from top universities and competitive compensation.

149

Open Roles

30

Companies

10

Role Types

## Companies hiring in _Sydney_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Contentful

Large (~1,000) · Glassdoor 3.4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/contentful)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Jobs by role in Sydney

Sales / GTM68

Engineering34

Legal5

Marketing5

Operations4

Support2

HR / People1

ML / AI1

Data1

Product1

## Latest jobs in Sydney

[![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

AI Engineer - FDE (Forward Deployed Engineer)

Databricks · Sydney, Australia

›](https://jobsbyculture.com/jobs/databricks/ai-engineer-fde-forward-deployed-engineer-rxvba) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Account Executive - ASEAN

Anthropic · Sydney, Australia

›](https://jobsbyculture.com/jobs/anthropic/account-executive-asean) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, Enterprise Grower (Australia)

Stripe · Sydney, Australia

›](https://jobsbyculture.com/jobs/stripe/account-executive-enterprise-grower-australia) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Principal Partner Specialist

MongoDB · Sydney

›](https://jobsbyculture.com/jobs/mongodb/principal-partner-specialist-7uqs6) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive - Small Business

HubSpot · Sydney, Australia

›](https://jobsbyculture.com/jobs/hubspot/account-executive-small-business-is43d) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Security Engineer, Detection and Response

OpenAI · Sydney, Australia

›](https://jobsbyculture.com/jobs/openai/security-engineer-detection-and-response-v8lh1) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Enablement Program Manager, APAC

Okta · Sydney, Australia

›](https://jobsbyculture.com/jobs/okta/enablement-program-manager-apac) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Commercial Account Executive

Datadog · Sydney, Australia

›](https://jobsbyculture.com/jobs/datadog/commercial-account-executive-gu8km) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Account Executive, Enterprise Acquisition

Snowflake · AU-Sydney

›](https://jobsbyculture.com/jobs/snowflake/account-executive-enterprise-acquisition-nss2o) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Manager, Legal Engineering (Product Specialists)

Harvey · Sydney

›](https://jobsbyculture.com/jobs/harvey/manager-legal-engineering-product-specialists) [![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Customer Success Manager, Sydney

Notion · Sydney, Australia

›](https://jobsbyculture.com/jobs/notion/customer-success-manager-sydney) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sales Engineer

Sierra · Sydney

›](https://jobsbyculture.com/jobs/sierra/sales-engineer-ys4zv) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Business Operations and Growth Lead

Airbnb · Sydney, Australia

›](https://jobsbyculture.com/jobs/airbnb/business-operations-and-growth-lead-jtjm7) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Account Executive, Enterprise (Sydney or Melbourne, Australia)

Figma · Sydney, Australia • Melbourne, Australia

›](https://jobsbyculture.com/jobs/figma/account-executive-enterprise-sydney-or-melbourne-australia) [![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Account Manager, Early Stage - APJ

Vanta · Sydney, Australia

›](https://jobsbyculture.com/jobs/vanta/account-manager-early-stage-apj) [![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Account Director - ANZ

Cognition · Sydney

›](https://jobsbyculture.com/jobs/cognition/account-director-anz) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Associate Client Partner - Emerging & Scaled (New Business)

Spotify · Sydney

›](https://jobsbyculture.com/jobs/spotify/associate-client-partner-emerging-scaled-new-business) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Deployment Strategist - AUS Government

Palantir · Sydney, Australia

›](https://jobsbyculture.com/jobs/palantir/deployment-strategist-aus-government-gi53x) [![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Account Executive, Majors (APAC)

Vercel · Hybrid - Sydney

›](https://jobsbyculture.com/jobs/vercel/account-executive-majors-apac) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Implementation Engineer

Adyen · Sydney

›](https://jobsbyculture.com/jobs/adyen/implementation-engineer-pkpeq) [![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

BDR Outbound (Korean Speaking)

Asana · Sydney

›](https://jobsbyculture.com/jobs/asana/bdr-outbound-korean-speaking) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Senior Solutions Engineer

Toast · Sydney, Australia

›](https://jobsbyculture.com/jobs/toast/senior-solutions-engineer) [![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Customer Success Manager

Intercom · Sydney, Australia

›](https://jobsbyculture.com/jobs/intercom/customer-success-manager) [![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Lead, Advertising Measurement (Australia)

Reddit · Sydney, Australia

›](https://jobsbyculture.com/jobs/reddit/lead-advertising-measurement-australia) [![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Lead Solutions Consultant

Airtable · Sydney, Australia

›](https://jobsbyculture.com/jobs/airtable/lead-solutions-consultant)

[View all 149 jobs →](https://jobsbyculture.com/jobs?search=Sydney)

## Working in AI & tech in Sydney

Sydney leads Australia's AI scene with regional offices for major global companies and a growing local startup ecosystem. Strong talent from top universities and competitive compensation.

JobsByCulture tracks 149 open positions across 30 companies in Sydney. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Tokyo | JobsByCulture

# AI & Tech Jobs in Tokyo | JobsByCulture

> Browse 224 AI & tech jobs in Tokyo at 27 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/tokyo
Markdown: https://jobsbyculture.com/locations/tokyo.md
Last updated: 2026-07-14

---
Asia Pacific

# 🇯🇵 _Tokyo_ Jobs

Tokyo's AI market is rapidly expanding, with global companies establishing dedicated Japan offices and local AI startups flourishing. Strong demand for bilingual (English/Japanese) technical talent.

224

Open Roles

27

Companies

8

Role Types

## Companies hiring in _Tokyo_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Wayve

Mid (~850) · Glassdoor 4.4/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/wayve)[

![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

DeepL

Large (~1,570) · Glassdoor 2.9/5

Work-Life Balance Flexible Hours Diverse & Inclusive Direct Product Impact

](https://jobsbyculture.com/companies/deepl)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)

## Jobs by role in Tokyo

Sales / GTM112

Engineering42

HR / People10

Marketing5

Operations5

Legal4

Product2

Support1

## Latest jobs in Tokyo

[![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Commercial Account Executive

Datadog · Tokyo, Japan

›](https://jobsbyculture.com/jobs/datadog/commercial-account-executive-58etv) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

デリバリーソリューションアーキテクト

Databricks · Tokyo, Japan

›](https://jobsbyculture.com/jobs/databricks/-x9m1g) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Account Director - Tokyo

OpenAI · Tokyo, Japan

›](https://jobsbyculture.com/jobs/openai/account-director-tokyo) [![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Sales Development Representative, Japan

Notion · Tokyo, Japan

›](https://jobsbyculture.com/jobs/notion/sales-development-representative-japan) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Applied AI Architect

Anthropic · Tokyo, Japan

›](https://jobsbyculture.com/jobs/anthropic/applied-ai-architect) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Account Executive, Enterprise (Tokyo, Japan)

Figma · Tokyo, Japan

›](https://jobsbyculture.com/jobs/figma/account-executive-enterprise-tokyo-japan) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Sr Sales Development Representative

Snowflake · JP-Tokyo

›](https://jobsbyculture.com/jobs/snowflake/sr-sales-development-representative) [![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

Senior Manager, Customer Success

DeepL · Tokyo

›](https://jobsbyculture.com/jobs/deepl/senior-manager-customer-success) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Product Manager, Agent Development

Sierra · Tokyo

›](https://jobsbyculture.com/jobs/sierra/product-manager-agent-development-jow0c) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Account Executive, Auth0

Okta · Tokyo, Japan

›](https://jobsbyculture.com/jobs/okta/account-executive-auth0) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

インサイドセールス / Business Development Rep (BDR)

HubSpot · Tokyo, Japan

›](https://jobsbyculture.com/jobs/hubspot/business-development-rep-bdr) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Associate Legal Counsel, Japan

Airbnb · Tokyo, Japan

›](https://jobsbyculture.com/jobs/airbnb/associate-legal-counsel-japan) [![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

ADAS Feature Engineer

Wayve · Tokyo

›](https://jobsbyculture.com/jobs/wayve/adas-feature-engineer-prd33) [![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Head of Partnerships - Japan

Cognition · Tokyo

›](https://jobsbyculture.com/jobs/cognition/head-of-partnerships-japan) [![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Business Development Representative

Sensor Tower · Tokyo, Japan

›](https://jobsbyculture.com/jobs/sensor-tower/business-development-representative-kxktl) [![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Engineer, SoC RTL Engineer

Tenstorrent · Tokyo, Japan

›](https://jobsbyculture.com/jobs/tenstorrent/engineer-soc-rtl-engineer) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

AML & Screening Analyst

Adyen · Tokyo

›](https://jobsbyculture.com/jobs/adyen/aml-screening-analyst) [![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Air Operations Associate

Flexport · Tokyo, Japan

›](https://jobsbyculture.com/jobs/flexport/air-operations-associate-kpbhw) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, Enterprise Hunter (Japanese fluency)

Stripe · Tokyo

›](https://jobsbyculture.com/jobs/stripe/account-executive-enterprise-hunter-japanese-fluency) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

People Country Lead - Japan

Celonis · Tokyo, Japan

›](https://jobsbyculture.com/jobs/celonis/people-country-lead-japan) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Deployment Strategist - Japan Commercial

Palantir · Tokyo, Japan

›](https://jobsbyculture.com/jobs/palantir/deployment-strategist-japan-commercial) [![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Sales Engineer - Japan

Vanta · Tokyo, Japan

›](https://jobsbyculture.com/jobs/vanta/sales-engineer-japan) [![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Forward Deployed Engineer, Infrastructure Specialist

Cohere · Tokyo

›](https://jobsbyculture.com/jobs/cohere/forward-deployed-engineer-infrastructure-specialist) [![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Customer Success & Enterprise Support Lead, APAC

Perplexity AI · Tokyo

›](https://jobsbyculture.com/jobs/perplexity/customer-success-enterprise-support-lead-apac) [![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

Compliance Engineer - APAC

ElevenLabs · Tokyo

›](https://jobsbyculture.com/jobs/elevenlabs/compliance-engineer-apac)

[View all 224 jobs →](https://jobsbyculture.com/jobs?search=Tokyo)

## Working in AI & tech in Tokyo

Tokyo's AI market is rapidly expanding, with global companies establishing dedicated Japan offices and local AI startups flourishing. Strong demand for bilingual (English/Japanese) technical talent.

JobsByCulture tracks 224 open positions across 27 companies in Tokyo. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Toronto | JobsByCulture

# AI & Tech Jobs in Toronto | JobsByCulture

> Browse 295 AI & tech jobs in Toronto at 25 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/toronto
Markdown: https://jobsbyculture.com/locations/toronto.md
Last updated: 2026-07-14

---
North America

# 🇨🇦 _Toronto_ Jobs

Toronto is a global AI research powerhouse, home to the Vector Institute and a deep talent pool from top universities. Companies like Cohere are headquartered here, and many US companies have Toronto engineering offices.

295

Open Roles

25

Companies

11

Role Types

## Companies hiring in _Toronto_

[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)[

![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Lightmatter

Mid (~300) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lightmatter)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Jobs by role in Toronto

Engineering151

Sales / GTM45

Product21

Marketing9

HR / People9

ML / AI8

Operations8

Design7

Data5

Finance3

Legal1

## Latest jobs in Toronto

[![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

AI Trainer

Okta · Toronto, Ontario, Canada

›](https://jobsbyculture.com/jobs/okta/ai-trainer) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Analyst, Product Pricing

Stripe · Toronto

›](https://jobsbyculture.com/jobs/stripe/analyst-product-pricing) [![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Business Process Analyst, Supply Chain

Tenstorrent · Toronto, Ontario, Canada

›](https://jobsbyculture.com/jobs/tenstorrent/business-process-analyst-supply-chain) [![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Revenue Operations GTM Systems Architect

Cohere · Toronto

›](https://jobsbyculture.com/jobs/cohere/revenue-operations-gtm-systems-architect) [![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Analog IC Design Engineer, High-Speed

Lightmatter · Toronto, ON

›](https://jobsbyculture.com/jobs/lightmatter/analog-ic-design-engineer-high-speed-sljo7) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Staff Software Engineer, Full Stack

Harvey · Toronto

›](https://jobsbyculture.com/jobs/harvey/staff-software-engineer-full-stack-4euaw) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Enterprise Account Executive, Growth

MongoDB · Toronto

›](https://jobsbyculture.com/jobs/mongodb/enterprise-account-executive-growth-6gl30) [![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Engineering Manager, Toronto

Robinhood · Toronto, Canada

›](https://jobsbyculture.com/jobs/robinhood/engineering-manager-toronto) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Director, Field Engineering

Databricks · Toronto, Canada

›](https://jobsbyculture.com/jobs/databricks/director-field-engineering-hrb3k) [![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Business Operations Manager, Technical Support Ops

Samsara · Remote - Toronto

›](https://jobsbyculture.com/jobs/samsara/business-operations-manager-technical-support-ops-3co68) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

TLM, Apps and Experiences Storage Team

Snowflake · CA-Ontario-Toronto

›](https://jobsbyculture.com/jobs/snowflake/tlm-apps-and-experiences-storage-team) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Field Sales Team Manager ( Retail SaaS )

Toast · Toronto, Canada

›](https://jobsbyculture.com/jobs/toast/field-sales-team-manager-retail-saas) [![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

AI Quality Assurance Intern

Cresta · Toronto, Ontario

›](https://jobsbyculture.com/jobs/cresta/ai-quality-assurance-intern) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Backend Engineer - Platform

Spotify · Toronto

›](https://jobsbyculture.com/jobs/spotify/backend-engineer-platform) [![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Client Account Manager, Mid-Market Sales (Acquisitions)

Reddit · Toronto, Canada

›](https://jobsbyculture.com/jobs/reddit/client-account-manager-mid-market-sales-acquisitions) [![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Agent Development Manager

Decagon · Toronto

›](https://jobsbyculture.com/jobs/decagon/agent-development-manager-jd1qk) [![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

Account Executive - Greenfield - Toronto

CoreWeave · Toronto, ON

›](https://jobsbyculture.com/jobs/coreweave/account-executive-greenfield-toronto) [![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

4PL Area Manager

Flexport · Toronto, Ontario, Canada

›](https://jobsbyculture.com/jobs/flexport/4pl-area-manager-9ajoz) [![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Senior/Mid Frontend Engineer - React

Sensor Tower · Toronto, Canada

›](https://jobsbyculture.com/jobs/sensor-tower/senior-mid-frontend-engineer-react-kgcdp) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Outbound Business Developer Representative (BDR) - Canada

HubSpot · Toronto, Ontario, Canada

›](https://jobsbyculture.com/jobs/hubspot/outbound-business-developer-representative-bdr-canada) [![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Sales Development Representative | Ontario, Canada

Ramp · Toronto, ON

›](https://jobsbyculture.com/jobs/ramp/sales-development-representative-ontario-canada) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Implementation Engineer

Adyen · Toronto

›](https://jobsbyculture.com/jobs/adyen/implementation-engineer-pch1y) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Software Engineer, Agent

Sierra · Toronto

›](https://jobsbyculture.com/jobs/sierra/software-engineer-agent-ceb25) [![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Senior Solutions Architect, Mid Market (Presales) - Canada

Elastic · Toronto, Canada

›](https://jobsbyculture.com/jobs/elastic/senior-solutions-architect-mid-market-presales-canada-rjhra) [![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Senior Technical Success Manager III - Strategic

Amplitude · Arlington, VA; Atlanta, GA; Austin, TX; Boston, MA; Charlotte, NC; Chicago, IL; Dallas, TX; Denver, CO; Fort Lauderdale, FL; Hartford, CT; Houston, TX; Indianapolis, Indiana; Jacksonville, FL; Kansas City, Missouri; Los Angeles, CA; Miami, FL; Minneapolis, Minnesota; Nashville, TN; New Haven, CT; New York, NY; Ohio; Orlando, FL; Philadelphia, PA; Phoenix, AZ; Portland, OR; Raleigh, NC; Remote - Central; Remote - East; Remote - USA; San Diego, CA; San Francisco, CA; Scottsdale, AZ; Seattle, WA; St Louis, Missouri; Toronto, ON, Canada; Vancouver, BC, Canada; Washington, DC

›](https://jobsbyculture.com/jobs/amplitude/senior-technical-success-manager-iii-strategic)

[View all 295 jobs →](https://jobsbyculture.com/jobs?search=Toronto)

## Working in AI & tech in Toronto

Toronto is a global AI research powerhouse, home to the Vector Institute and a deep talent pool from top universities. Companies like Cohere are headquartered here, and many US companies have Toronto engineering offices.

JobsByCulture tracks 295 open positions across 25 companies in Toronto. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🏛️ Washington, D.C. 315](https://jobsbyculture.com/locations/washington-dc) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: AI & Tech Jobs in Washington, D.C. | JobsByCulture

# AI & Tech Jobs in Washington, D.C. | JobsByCulture

> Browse 315 AI & tech jobs in Washington, D.C. at 25 culture-rated companies. Filter by culture values like remote, work-life balance, and more.

Source: https://jobsbyculture.com/locations/washington-dc
Markdown: https://jobsbyculture.com/locations/washington-dc.md
Last updated: 2026-07-14

---
US East Coast

# 🏛️ _Washington, D.C._ Jobs

The D.C. metro area is a major hub for AI policy, government tech, and defense-adjacent AI companies. Strong demand for engineers with security clearances and growing presence of commercial AI companies.

315

Open Roles

25

Companies

10

Role Types

## Companies hiring in _Washington, D.C._

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Webflow

Mid (~800) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Remote-Friendly Work-Life Balance

](https://jobsbyculture.com/companies/webflow)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)

## Jobs by role in Washington, D.C.

Engineering137

Sales / GTM62

Legal25

Product16

Marketing5

Data4

Design4

ML / AI4

HR / People2

Operations1

## Latest jobs in Washington, D.C.

[![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Administrative Business Partner - ShipOS

Palantir · Washington, D.C.

›](https://jobsbyculture.com/jobs/palantir/administrative-business-partner-shipos-01q9i) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Area Vice President, Strategic Sales

Okta · Connecticut; Massachusetts; New York, New York; Pennsylvania; Washington, DC

›](https://jobsbyculture.com/jobs/okta/area-vice-president-strategic-sales) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Applied AI Architect, Government Technology

Anthropic · Washington, DC

›](https://jobsbyculture.com/jobs/anthropic/applied-ai-architect-government-technology) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Delivery Solutions Architect - Digital Native Business

Databricks · Remote - Massachusetts; Remote - New York; Remote - Pennsylvania; Remote - Washington D.C.

›](https://jobsbyculture.com/jobs/databricks/delivery-solutions-architect-digital-native-business-yrw8a) [![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Deployment Strategist

Scale AI · Washington, DC

›](https://jobsbyculture.com/jobs/scale/deployment-strategist-yyqaf) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Senior Staff Software Engineer, Gov

OpenAI · Washington, DC

›](https://jobsbyculture.com/jobs/openai/senior-staff-software-engineer-gov) [![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Director of Production

Helsing · Washington, DC

›](https://jobsbyculture.com/jobs/helsing/director-of-production) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Enterprise Account Executive, Federal

MongoDB · Tysons

›](https://jobsbyculture.com/jobs/mongodb/enterprise-account-executive-federal) [![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

FedCiv Account Executive - Dept of Treasury

Elastic · Arlington, VA

›](https://jobsbyculture.com/jobs/elastic/fedciv-account-executive-dept-of-treasury) [![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Assistant General Counsel, Credit Cards

Robinhood · Menlo Park, CA; New York, NY; Washington, DC

›](https://jobsbyculture.com/jobs/robinhood/assistant-general-counsel-credit-cards) [![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

Director, Financial & Corporate Communications

CoreWeave · Livingston, NJ / New York, NY / Washington, D.C./New Jersey, NJ

›](https://jobsbyculture.com/jobs/coreweave/director-financial-corporate-communications) [![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

AI Policy Lead

Cognition · Washington DC

›](https://jobsbyculture.com/jobs/cognition/ai-policy-lead) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Senior Litigation Counsel

Snowflake · US-VA-McLean

›](https://jobsbyculture.com/jobs/snowflake/senior-litigation-counsel) [![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Solutions Architect - Public Sector

Cohere · Washington, DC

›](https://jobsbyculture.com/jobs/cohere/solutions-architect-public-sector-oyay2) [![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Senior Sales Engineer

Amplitude · Arlington, VA; Atlanta, GA; Austin, TX; Boston, MA; Charlotte, NC; Chicago, IL; Dallas, TX; Houston, TX; Indianapolis, Indiana; Kansas City, Missouri; Minneapolis, Minnesota; New York, NY; Philadelphia, PA; St Louis, Missouri

›](https://jobsbyculture.com/jobs/amplitude/senior-sales-engineer) [![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

Enterprise Account Executive (Federal)

LangChain · Washington DC

›](https://jobsbyculture.com/jobs/langchain/enterprise-account-executive-federal) [![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

Account Executive - North America - Enterprise (Government)

ElevenLabs · Washington, D.C.

›](https://jobsbyculture.com/jobs/elevenlabs/account-executive-north-america-enterprise-government) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Lead Consultant - Public Sector

Celonis · Remote, US, Washington DC

›](https://jobsbyculture.com/jobs/celonis/lead-consultant-public-sector-j45cx) [![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Senior Forward-Deployed Engineer, Federal

Deepgram · Washington D.C.

›](https://jobsbyculture.com/jobs/deepgram/senior-forward-deployed-engineer-federal) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, Product Sales, Velocity Billing

Stripe · South San Francisco, CA; New York, NY; Seattle, WA; Chicago, IL; Atlanta, GA; Washington DC

›](https://jobsbyculture.com/jobs/stripe/account-executive-product-sales-velocity-billing) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Solutions Consultant, Federal

Figma · New York, NY; Washington, DC

›](https://jobsbyculture.com/jobs/figma/solutions-consultant-federal) [![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Public Sector Solutions Engineer, SLED

Glean · Washington, DC

›](https://jobsbyculture.com/jobs/glean/public-sector-solutions-engineer-sled) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Senior Compliance Manager

Harvey · Washington DC

›](https://jobsbyculture.com/jobs/harvey/senior-compliance-manager-gruqb) [![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Growth Account Executive - Washington D.C.

Webflow · Washington D.C. (Hybrid)

›](https://jobsbyculture.com/jobs/webflow/growth-account-executive-washington-d-c) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Associate Manager - International Legislative and Regulatory Affairs

Spotify · Washington D.C.

›](https://jobsbyculture.com/jobs/spotify/associate-manager-international-legislative-and-regulatory-affairs)

[View all 315 jobs →](https://jobsbyculture.com/jobs?search=Washington%2C%20D.C.)

## Working in AI & tech in Washington, D.C.

The D.C. metro area is a major hub for AI policy, government tech, and defense-adjacent AI companies. Strong demand for engineers with security clearances and growing presence of commercial AI companies.

JobsByCulture tracks 315 open positions across 25 companies in Washington, D.C.. Every company is rated on 18 culture values from real employee reviews, so you can find roles that match both your skills and how you like to work.

## Browse other locations

[🌉 San Francisco Bay Area 3,951](https://jobsbyculture.com/locations/san-francisco) [🗽 New York City 2,041](https://jobsbyculture.com/locations/new-york) [🌲 Seattle 649](https://jobsbyculture.com/locations/seattle) [🇬🇧 London 828](https://jobsbyculture.com/locations/london) [🌍 Remote 2,354](https://jobsbyculture.com/locations/remote) [🇫🇷 Paris 209](https://jobsbyculture.com/locations/paris) [🇮🇪 Dublin 343](https://jobsbyculture.com/locations/dublin) [🇮🇳 Bengaluru 370](https://jobsbyculture.com/locations/bengaluru) [🇸🇬 Singapore 253](https://jobsbyculture.com/locations/singapore) [🇯🇵 Tokyo 224](https://jobsbyculture.com/locations/tokyo) [🇨🇦 Toronto 295](https://jobsbyculture.com/locations/toronto) [🏙️ Chicago 310](https://jobsbyculture.com/locations/chicago) [🇩🇪 Berlin 168](https://jobsbyculture.com/locations/berlin) [🇦🇺 Sydney 149](https://jobsbyculture.com/locations/sydney) [🇩🇪 Munich 205](https://jobsbyculture.com/locations/munich) [🤠 Austin 155](https://jobsbyculture.com/locations/austin) [🎓 Boston 170](https://jobsbyculture.com/locations/boston) [🏔️ Denver 133](https://jobsbyculture.com/locations/denver) [🇳🇱 Amsterdam 143](https://jobsbyculture.com/locations/amsterdam) [🇰🇷 Seoul 81](https://jobsbyculture.com/locations/seoul) [🇧🇷 São Paulo 75](https://jobsbyculture.com/locations/sao-paulo) [🇪🇸 Madrid 71](https://jobsbyculture.com/locations/madrid) [🇸🇪 Stockholm 98](https://jobsbyculture.com/locations/stockholm) [🇵🇹 Lisbon 15](https://jobsbyculture.com/locations/lisbon)

## Browse by culture value

[⚖️ Work-Life Balance 1,646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1,506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2,269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2,595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: Free Org Chart Maker — Privacy-First, No Signup | JobsByCulture

# Free Org Chart Maker — Privacy-First, No Signup | JobsByCulture

> Free org chart maker that runs entirely in your browser. Build company org charts with no signup, no cloud sync, no tracking. Export to PNG. Your data never leaves your device.

Source: https://jobsbyculture.com/org-chart-maker
Markdown: https://jobsbyculture.com/org-chart-maker.md
Last updated: 2026-07-14

---
🔒 100% Private · Runs in Your Browser

# Free Org Chart Maker That _Respects Your Privacy_

Build your company org chart in seconds. No signup, no cloud sync, no tracking. Your team structure never leaves your browser.

✓ No account required ✓ No data collection ✓ Free forever ✓ Export to PNG

Template Choose a starter… Small Startup Engineering Team Sales Org Blank (CEO only)



Auto-saved locally

↑ Pick a template above to get started, or click the button below to create your first node


🔒

### Your data never leaves this device

Everything happens in your browser. We don't have a database for org charts. We can't see your team, your hierarchy, or your names. Your chart is saved locally to your browser only — close the tab and come back, it'll be waiting.

Most "free" org chart tools aren't really free — they want your email, sync everything to their cloud, and start asking for credit cards after three diagrams. They also store your team structure on their servers, which is a real privacy concern: an org chart is sensitive information that can reveal reorgs, layoffs, and political dynamics inside your company.

This tool is different. It runs entirely in your browser with zero backend. Your chart is saved to **localStorage** — a feature of your browser, not our database. We have no servers storing org chart data because we don't need any. Open the page, build your chart, close the tab. Come back tomorrow and it's still there. No one else can see it. Not even us.

## Why we built this

The big paid org chart tools (Lucidchart, Visio, Creately, SmartDraw) are all great — but they're overkill if you just want to map out your team. They also live in the cloud, which means your team structure is on someone else's server. For a startup planning a reorg, a manager mapping out a new team, or an HR lead documenting reporting lines, that's a problem.

Free alternatives exist, but they're either ugly, require signup, or aggressively upsell. We wanted something that just _worked_: pick a template, add names, export. Done in five minutes. No friction.

## Features

🔒

### 100% Private

Runs entirely in your browser. We literally cannot see your org chart. No server, no database, no tracking.

⚡

### No Signup

No email, no account, no friction. Open the page and start building immediately.

💾

### Auto-Saves Locally

Your chart is saved to your browser's localStorage. Close the tab, come back later, pick up where you left off.

📸

### One-Click PNG Export

Download your org chart as a high-quality image. Share it however you want — Slack, email, Notion, deck.

🎨

### Smart Templates

Start from scratch or pick a template (startup, engineering team, sales org). Customize from there.

∞

### No Limits

No node limits, no usage caps, no watermarks. Build a chart with 5 people or 500. Free forever.

## How it compares

Feature

Org Chart Maker

Lucidchart Free

Canva Free

Free forever

✓

✗ (3 docs)

✗ (limits)

No signup needed

✓

✗

✗

Data stays in browser

✓

✗ (cloud)

✗ (cloud)

PNG export

✓

✓

✓

Templates

✓

✓

✓

No watermarks

✓

✓

✗

## Who uses this

This tool was built for the people who need to draw an org chart once a week, not the people who design org charts for a living. That includes:

-   **HR and People Ops** — quickly mapping team structures during reorgs
-   **Engineering managers** — documenting reporting lines for a new team
-   **Founders** — sketching out the org as you scale from 5 to 50
-   **New hires** — making sense of who reports to whom on day one
-   **Job seekers** — researching company structures before interviews
-   **Consultants** — capturing client org structures without uploading sensitive data

If your use case involves drawing one chart, exporting it, and moving on with your day — this tool is for you. If you need real-time collaboration, version history, or integration with HRIS systems, you probably want Lucidchart or BambooHR.

## Looking for a new role?

Browse open positions at companies with clear culture, transparent comp, and real org structures.

[Browse All Jobs →](https://jobsbyculture.com/jobs)

## Frequently Asked Questions

Is this org chart maker really free?+

Yes. Completely free with no signup required. No premium tier, no usage limits, no watermarks. We built it as a free tool for the community.

Does my data leave my browser?+

No. Everything runs client-side in your browser. Your org chart is saved to your browser's localStorage and never sent to our servers. We literally cannot see what you build. It's the most private org chart tool available.

Do I need an account?+

No account, no email, no signup. Just open the page and start building.

Can I export my org chart?+

Yes. Click "Export PNG" to download a high-quality image. The image is generated entirely in your browser using html-to-image.

Will my chart still be there if I close the tab?+

Yes. Your org chart is saved automatically to your browser's localStorage. Reopen the page and pick up where you left off. Note: clearing your browser data or using incognito mode will erase the chart.

Why does this exist?+

Most free org chart tools require signup, sync to their cloud, and ask you to upgrade after a few uses. We wanted a tool that respects your privacy — your team structure is sensitive, it shouldn't live on someone else's server. We built this so you can sketch a chart without worrying about who's watching.

Can I share my chart with a teammate?+

Export it as a PNG and share the image. We don't offer real-time collaboration because that would require a backend and undermine the privacy promise. If you need live collaboration, Lucidchart is the better choice.

Is my data really safe?+

Open your browser's developer tools and check the Network tab while you build. You'll see no requests being made to save your data. Everything is in your browser. The only third-party scripts we load are Google Fonts and Plausible analytics — neither of which has access to your chart contents.

## More free tools

[Salary Negotiation Calculator](https://jobsbyculture.com/tools/salary-negotiation-calculator) [PTO Calculator](https://jobsbyculture.com/tools/pto-calculator) [Notice Period Calculator](https://jobsbyculture.com/tools/notice-period-calculator) [RTO Days Counter](https://jobsbyculture.com/tools/rto-days-counter) [Severance Calculator](https://jobsbyculture.com/tools/layoff-severance-calculator) [Group Greeting Cards](https://jobsbyculture.com/culture-cards)

---

## Document: Press Kit — JobsByCulture

# Press Kit — JobsByCulture

> Press resources for JobsByCulture — the culture-first job board for AI & tech. Company overview, key statistics, logos, and media contact.

Source: https://jobsbyculture.com/press
Markdown: https://jobsbyculture.com/press.md
Last updated: 2026-07-14

---
# _Press_ Kit

Everything journalists, researchers, and bloggers need to write about JobsByCulture.

## About _JobsByCulture_

### Short version (copy-paste)

JobsByCulture is the culture-first job board for AI and tech. It profiles 118 companies across 18 culture dimensions — including remote-friendliness, work-life balance, engineering autonomy, and flat hierarchy — using independently verified employee data. The platform tracks 13,906+ open roles, updated daily.

### Long version

JobsByCulture is an independent platform that makes company culture measurable and searchable. Founded in 2026, it profiles 118 AI and tech companies across 18 culture dimensions using data from multiple employee review platforms, engineering blogs, published policies, and careers pages.

Unlike traditional job boards that filter by salary, location, and title, JobsByCulture lets candidates filter by how teams actually work — async-first communication, flat hierarchy, deep work culture, ethical AI practices, and more. Each company is independently rated on overall employee satisfaction and work-life balance, with culture values assigned only when supported by concrete evidence.

The platform tracks 13,906+ open roles refreshed daily, offers 144 free culture interview questions, and publishes original research including the AI Culture Index and industry-wide culture statistics.

## Key _Statistics_

118

Companies Profiled

13,906+

Open Roles Tracked

18

Culture Dimensions

19%

Are Genuinely Remote

4.01

Avg. Employee Rating

3.74

Avg. Work-Life Balance

For the full dataset with tables, charts, and methodology, see our [AI Company Culture Statistics](https://jobsbyculture.com/stats/ai-company-culture-statistics) page.

## Story _Angles_

Data-backed story ideas from our research. Reach out for additional data points or expert commentary.

### "Only 19% of AI companies are genuinely remote"

81% of companies claiming "flexible" or "hybrid" aren't truly remote when you audit their actual job listings.

### "The Great Company, Brutal Hours paradox"

The highest-rated AI companies often have the worst work-life balance. A 4.5 rating can mask 60-hour weeks.

### "Flat hierarchy breaks down past 300 employees"

Every company we verified as genuinely flat has fewer than 300 people. Beyond that, "flat" usually means unstructured.

### "Only 7% of AI companies are truly async-first"

82% claim to be engineering-driven, but only 7% back it up with async communication and deep work practices.

## Data _Resources_

Cite any data from these pages. Link back to the source URL — no permission needed.

### AI Company Culture Statistics 2026

Full dataset: ratings, WLB, remote work, culture values, role distribution.

[View Data](https://jobsbyculture.com/stats/ai-company-culture-statistics)

### Company Culture Directory

All 118 company profiles with ratings, values, pros/cons, and open roles.

[View Directory](https://jobsbyculture.com/companies)

### Culture Interview Questions

144 questions across 18 values to evaluate company culture during interviews.

[View Tool](https://jobsbyculture.com/culture-questions)

## Logo _Downloads_

### Logo (SVG)

Vector format, scalable, for web and print.

[Download SVG](https://jobsbyculture.com/favicon.svg)

### Logo (PNG)

512x512, transparent background.

[Download PNG](https://jobsbyculture.com/logo.png)

**Editorial independence:** JobsByCulture does not accept payment for inclusion, ratings, or culture value assignments. All data is independently collected and verified. Companies cannot influence their scores. Our research is funded by the platform, not by the companies we profile.

### Media Contact

For data requests, expert commentary on AI company culture, or interview requests.

[hello@jobsbyculture.com](mailto:hello@jobsbyculture.com)

Sai Mocherla, Founder

---

## Document: What's Your Work Culture Type? | JobsByCulture

# What's Your Work Culture Type? | JobsByCulture

> Take the 90-second quiz to discover your work culture archetype. Are you a Deep Work Monk, Remote Explorer, or Startup Sprinter? Find companies that match...

Source: https://jobsbyculture.com/quiz
Markdown: https://jobsbyculture.com/quiz.md
Last updated: 2026-07-14

---
90-second culture quiz

# What's your _work culture_ type?

8 quick questions. Discover your archetype. Find companies that match how you actually work best.

11,247 people have taken this quiz

Question 1 of 8

---

## Document: Data Jobs at AI & Tech Companies | JobsByCulture

# Data Jobs at AI & Tech Companies | JobsByCulture

> Browse 345 data jobs at 71 AI & tech companies. Data roles: data scientists, data engineers, analytics engineers, and business intelligence professionals buildi

Source: https://jobsbyculture.com/roles/data
Markdown: https://jobsbyculture.com/roles/data.md
Last updated: 2026-07-14

---
Data

# 📊 _Data_ Jobs

Data roles: data scientists, data engineers, analytics engineers, and business intelligence professionals building data infrastructure and extracting insights.

345

Open Roles

71

Companies

## Companies hiring for _data_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Large (~800) · Glassdoor 3.7/5

Ship Fast & Iterate Remote-Friendly Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/apollo)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

Small (~200) · Glassdoor 4/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/replit)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Supabase

Small (~250) · Glassdoor 4.8/5

Open Source Remote-Friendly Engineering-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/supabase)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Baseten

Small (~100) · Glassdoor 4.3/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/baseten)[

![Fireworks AI](https://www.google.com/s2/favicons?domain=fireworks.ai&sz=128)

Fireworks AI

Small (~100) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Learning & Growth

](https://jobsbyculture.com/companies/fireworksai)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Wayve

Mid (~850) · Glassdoor 4.4/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/wayve)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Contentful

Large (~1,000) · Glassdoor 3.4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/contentful)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Mid (~300) · Glassdoor 4.5/5

Remote-Friendly Open Source Flat Hierarchy Transparent

](https://jobsbyculture.com/companies/n8n)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Poolside](https://www.google.com/s2/favicons?domain=poolside.ai&sz=128)

Poolside

Small (~150) · Glassdoor 3.8/5

Engineering-Driven Remote-Friendly Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/poolside)[

![Descript](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

Descript

Medium (~250) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/descript)[

![Labelbox](https://www.google.com/s2/favicons?domain=labelbox.com&sz=128)

Labelbox

Medium (~350) · Glassdoor 3.2/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/labelbox)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Mercor

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Strong Comp & Equity

](https://jobsbyculture.com/companies/mercor)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Abridge

Mid (~500) · Glassdoor 4.7/5

Mission-Driven Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/abridge)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Ironclad

Mid (~800) · Glassdoor 4.4/5

Work-Life Balance Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/ironclad)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)[

![Figure AI](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

Figure AI

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/figureai)[

![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Cartesia

Small (~90) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/cartesia)[

![Character AI](https://www.google.com/s2/favicons?domain=character.ai&sz=128)

Character AI

Mid (~250) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/character)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

LaunchDarkly

Mid (~590) · Glassdoor 3.8/5

Engineering-Driven Work-Life Balance Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/launchdarkly)[

![Dropbox](https://www.google.com/s2/favicons?domain=dropbox.com&sz=128)

Dropbox

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/dropbox)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)[

![Kindred](https://www.google.com/s2/favicons?domain=livekindred.com&sz=128)

Kindred

Small (~50) · Glassdoor null/5

Direct Product Impact Ship Fast & Iterate Engineering-Driven Wears Many Hats

](https://jobsbyculture.com/companies/kindred)

## Latest Data jobs

[![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Software Engineer, Data Infrastructure

OpenAI · San Francisco

›](https://jobsbyculture.com/jobs/openai/software-engineer-data-infrastructure) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Data Analyst

Stripe · Bengaluru

›](https://jobsbyculture.com/jobs/stripe/data-analyst-rilq6) [![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Principal Data Scientist, Ads

Reddit · Remote - United States

›](https://jobsbyculture.com/jobs/reddit/principal-data-scientist-ads) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

(Contract) Senior Data Scientist, Platform Inference - MarTech DS Measurement

Airbnb · United States

›](https://jobsbyculture.com/jobs/airbnb/contract-senior-data-scientist-platform-inference-martech-ds-measurement) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Director of Engineering (Data Infrastructure)

Databricks · Bengaluru, India

›](https://jobsbyculture.com/jobs/databricks/director-of-engineering-data-infrastructure) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Senior Data Scientist

Snowflake · US-CA-Menlo Park

›](https://jobsbyculture.com/jobs/snowflake/senior-data-scientist-tkc9p) [![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Senior Data Analyst

Instacart · Canada - Remote (ON, AB, BC, or NS Only)

›](https://jobsbyculture.com/jobs/instacart/senior-data-analyst-eu1lg) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Data Engineer

Anthropic · San Francisco, CA | New York City, NY | Seattle, WA

›](https://jobsbyculture.com/jobs/anthropic/data-engineer) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Data Analyst II

Brex · San Francisco, California, United States

›](https://jobsbyculture.com/jobs/brex/data-analyst-ii-cw6pf) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Principal Data Platform Engineer (Bengaluru)

Okta · Bengaluru, India

›](https://jobsbyculture.com/jobs/okta/principal-data-platform-engineer-bengaluru) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Data Scientist, Product

Harvey · San Francisco

›](https://jobsbyculture.com/jobs/harvey/data-scientist-product) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Data Engineer

Figma · San Francisco, CA • New York, NY • United States

›](https://jobsbyculture.com/jobs/figma/data-engineer) [![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

Senior Analytics Engineer

CoreWeave · Sunnyvale, CA / Bellevue, WA

›](https://jobsbyculture.com/jobs/coreweave/senior-analytics-engineer) [![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Staff Software Engineer - Data Infrastructure

Plaid · San Francisco HQ

›](https://jobsbyculture.com/jobs/plaid/staff-software-engineer-data-infrastructure) [![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Data Scientist

Cloudflare · In-Office

›](https://jobsbyculture.com/jobs/cloudflare/data-scientist) [![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Senior Data Engineer

Samsara · Remote - Canada

›](https://jobsbyculture.com/jobs/samsara/senior-data-engineer-oz7sj) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Data Scientist II

Toast · Canada

›](https://jobsbyculture.com/jobs/toast/data-scientist-ii-34mo8) [![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Analytics Engineer

Coinbase · Remote - USA

›](https://jobsbyculture.com/jobs/coinbase/analytics-engineer) [![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Data Scientist, Growth Product

Chime · San Francisco, CA, USA

›](https://jobsbyculture.com/jobs/chime/data-scientist-growth-product) [![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Member of Technical Staff (Product Data Scientist, Search Quality)

Perplexity AI · Belgrade

›](https://jobsbyculture.com/jobs/perplexity/member-of-technical-staff-product-data-scientist-search-quality)

[View all 345 jobs →](https://jobsbyculture.com/jobs?role=data)

## Data jobs by culture

[🌱 Learning & Growth Data 273](https://jobsbyculture.com/roles/learning/data) [⚙️ Engineering-Driven Data 267](https://jobsbyculture.com/roles/eng-driven/data) [🎯 Direct Product Impact Data 241](https://jobsbyculture.com/roles/product-impact/data) [💎 Strong Comp & Equity Data 230](https://jobsbyculture.com/roles/equity/data) [🚀 Ship Fast & Iterate Data 171](https://jobsbyculture.com/roles/ship-fast/data) [🌈 Diverse & Inclusive Data 81](https://jobsbyculture.com/roles/diverse/data) [⚖️ Work-Life Balance Data 58](https://jobsbyculture.com/roles/wlb/data) [🪟 Transparent Data 53](https://jobsbyculture.com/roles/transparent/data)

## Data jobs by seniority

[👤 Mid-Level Data 119](https://jobsbyculture.com/seniority/mid/data) [⭐ Senior Data 98](https://jobsbyculture.com/seniority/senior/data) [🔷 Staff / Principal Data 80](https://jobsbyculture.com/seniority/staff/data) [👥 Lead / Manager Data 40](https://jobsbyculture.com/seniority/lead/data) [🏛️ Director+ Data 5](https://jobsbyculture.com/seniority/director/data)

## Other role categories

[🧠 ML / AI 411](https://jobsbyculture.com/roles/ml-ai) [🎨 Design 229](https://jobsbyculture.com/roles/design) [💻 Engineering 4788](https://jobsbyculture.com/roles/engineering) [📋 Product 789](https://jobsbyculture.com/roles/product) [📣 Marketing 531](https://jobsbyculture.com/roles/marketing) [💼 Sales / GTM 3471](https://jobsbyculture.com/roles/sales) [💰 Finance 195](https://jobsbyculture.com/roles/finance) [👤 HR / People 270](https://jobsbyculture.com/roles/hr-people) [⚖️ Legal 228](https://jobsbyculture.com/roles/legal) [🎧 Support 58](https://jobsbyculture.com/roles/support) [⚙️ Operations 414](https://jobsbyculture.com/roles/operations)

---

## Document: Design Jobs at AI & Tech Companies | JobsByCulture

# Design Jobs at AI & Tech Companies | JobsByCulture

> Browse 229 design jobs at 64 AI & tech companies. Design roles: product designers, UX researchers, visual designers, and design system engineers creating beauti

Source: https://jobsbyculture.com/roles/design
Markdown: https://jobsbyculture.com/roles/design.md
Last updated: 2026-07-14

---
Design

# 🎨 _Design_ Jobs

Design roles: product designers, UX researchers, visual designers, and design system engineers creating beautiful, intuitive user experiences.

229

Open Roles

64

Companies

## Companies hiring for _design_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Google DeepMind

Large (~7,000) · Glassdoor 4.2/5

Deep Work / Low Meetings Learning & Growth Engineering-Driven Diverse & Inclusive

](https://jobsbyculture.com/companies/deepmind)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Linear

Small (~80) · Glassdoor 4.6/5

Deep Work / Low Meetings Remote-Friendly Async-First Engineering-Driven

](https://jobsbyculture.com/companies/linear)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Supabase

Small (~250) · Glassdoor 4.8/5

Open Source Remote-Friendly Engineering-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/supabase)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Baseten

Small (~100) · Glassdoor 4.3/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/baseten)[

![Fireworks AI](https://www.google.com/s2/favicons?domain=fireworks.ai&sz=128)

Fireworks AI

Small (~100) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Learning & Growth

](https://jobsbyculture.com/companies/fireworksai)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Mid (~300) · Glassdoor 4.5/5

Remote-Friendly Open Source Flat Hierarchy Transparent

](https://jobsbyculture.com/companies/n8n)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![Granola](https://www.google.com/s2/favicons?domain=granola.ai&sz=128)

Granola

Small (~50) · Glassdoor 5/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/granola)[

![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

GitLab

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Async-First Transparent Open Source

](https://jobsbyculture.com/companies/gitlab)[

![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Mercor

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Strong Comp & Equity

](https://jobsbyculture.com/companies/mercor)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Abridge

Mid (~500) · Glassdoor 4.7/5

Mission-Driven Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/abridge)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Exa

Small (~120) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/exa)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)[

![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Lightmatter

Mid (~300) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lightmatter)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

LaunchDarkly

Mid (~590) · Glassdoor 3.8/5

Engineering-Driven Work-Life Balance Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/launchdarkly)[

![WorkOS](https://www.google.com/s2/favicons?domain=workos.com&sz=128)

WorkOS

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/workos)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)[

![Dropbox](https://www.google.com/s2/favicons?domain=dropbox.com&sz=128)

Dropbox

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/dropbox)[

![DevRev](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

DevRev

Mid (~800) · Glassdoor 4.1/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/devrev)

## Latest Design jobs

[![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Designer, Web Presence & Platform

Stripe · US / Cananda

›](https://jobsbyculture.com/jobs/stripe/designer-web-presence-platform) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Designer Advocate

Figma · San Francisco, CA

›](https://jobsbyculture.com/jobs/figma/designer-advocate) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Senior Brand Designer

Brex · New York, New York, United States

›](https://jobsbyculture.com/jobs/brex/senior-brand-designer) [![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Senior Digital Designer

Synthesia · Austin

›](https://jobsbyculture.com/jobs/synthesia/senior-digital-designer) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Staff Product Designer

Harvey · San Francisco

›](https://jobsbyculture.com/jobs/harvey/staff-product-designer-ekyoe) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Product Designer

Sierra · San Francisco, CA

›](https://jobsbyculture.com/jobs/sierra/product-designer) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Product Design Architect

Okta · Bellevue, Washington; Chicago, Illinois; New York, New York; Washington, DC

›](https://jobsbyculture.com/jobs/okta/product-design-architect) [![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

AI Design Leader

Intercom · Berlin, Germany; Dublin, Ireland; London, England

›](https://jobsbyculture.com/jobs/intercom/ai-design-leader) [![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Graphic Designer, Paid Media (Contractor)

Suno · Remote

›](https://jobsbyculture.com/jobs/suno/graphic-designer-paid-media-contractor) [![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Senior Brand Designer - Growth

Mercury · San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States

›](https://jobsbyculture.com/jobs/mercury/senior-brand-designer-growth) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Director, User Research - Product Design

Datadog · New York, New York, USA

›](https://jobsbyculture.com/jobs/datadog/director-user-research-product-design) [![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Product Designer, Redesign

Robinhood · Menlo Park, CA; New York, NY

›](https://jobsbyculture.com/jobs/robinhood/product-designer-redesign) [![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Chiplet Design Architect

Tenstorrent · North America

›](https://jobsbyculture.com/jobs/tenstorrent/chiplet-design-architect) [![DevRev](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

Creative & Brand Designer

DevRev · Bangalore, India

›](https://jobsbyculture.com/jobs/devrev/creative-brand-designer) [![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Director, Product Design

Samsara · San Francisco - SF9

›](https://jobsbyculture.com/jobs/samsara/director-product-design) [![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

AI Prompt & Workflow Designer

Asana · San Francisco

›](https://jobsbyculture.com/jobs/asana/ai-prompt-workflow-designer) [![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Associate Conversational AI Designer

Cresta · United States (Remote)

›](https://jobsbyculture.com/jobs/cresta/associate-conversational-ai-designer) [![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Design Director, Brand & Marketing

Perplexity AI · New York City

›](https://jobsbyculture.com/jobs/perplexity/design-director-brand-marketing) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Product Designer, People Innovation Labs

OpenAI · San Francisco

›](https://jobsbyculture.com/jobs/openai/product-designer-people-innovation-labs) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Distinguished Designer, Gemini App Systems

Google DeepMind · Mountain View, California, US

›](https://jobsbyculture.com/jobs/deepmind/distinguished-designer-gemini-app-systems)

[View all 229 jobs →](https://jobsbyculture.com/jobs?role=design)

## Design jobs by culture

[⚙️ Engineering-Driven Design 192](https://jobsbyculture.com/roles/eng-driven/design) [🌱 Learning & Growth Design 185](https://jobsbyculture.com/roles/learning/design) [🎯 Direct Product Impact Design 169](https://jobsbyculture.com/roles/product-impact/design) [🚀 Ship Fast & Iterate Design 162](https://jobsbyculture.com/roles/ship-fast/design) [💎 Strong Comp & Equity Design 136](https://jobsbyculture.com/roles/equity/design) [🪟 Transparent Design 41](https://jobsbyculture.com/roles/transparent/design) [🌈 Diverse & Inclusive Design 25](https://jobsbyculture.com/roles/diverse/design) [⚖️ Work-Life Balance Design 23](https://jobsbyculture.com/roles/wlb/design)

## Design jobs by seniority

[👤 Mid-Level Design 83](https://jobsbyculture.com/seniority/mid/design) [⭐ Senior Design 48](https://jobsbyculture.com/seniority/senior/design) [🔷 Staff / Principal Design 57](https://jobsbyculture.com/seniority/staff/design) [👥 Lead / Manager Design 26](https://jobsbyculture.com/seniority/lead/design) [🏛️ Director+ Design 12](https://jobsbyculture.com/seniority/director/design)

## Other role categories

[🧠 ML / AI 411](https://jobsbyculture.com/roles/ml-ai) [📊 Data 345](https://jobsbyculture.com/roles/data) [💻 Engineering 4788](https://jobsbyculture.com/roles/engineering) [📋 Product 789](https://jobsbyculture.com/roles/product) [📣 Marketing 531](https://jobsbyculture.com/roles/marketing) [💼 Sales / GTM 3471](https://jobsbyculture.com/roles/sales) [💰 Finance 195](https://jobsbyculture.com/roles/finance) [👤 HR / People 270](https://jobsbyculture.com/roles/hr-people) [⚖️ Legal 228](https://jobsbyculture.com/roles/legal) [🎧 Support 58](https://jobsbyculture.com/roles/support) [⚙️ Operations 414](https://jobsbyculture.com/roles/operations)

---

## Document: Engineering Jobs at AI & Tech Companies | JobsByCulture

# Engineering Jobs at AI & Tech Companies | JobsByCulture

> Browse 4788 engineering jobs at 108 AI & tech companies. Software engineering roles: frontend, backend, full-stack, DevOps, SRE, infrastructure, and platform en

Source: https://jobsbyculture.com/roles/engineering
Markdown: https://jobsbyculture.com/roles/engineering.md
Last updated: 2026-07-14

---
Engineering

# 💻 _Engineering_ Jobs

Software engineering roles: frontend, backend, full-stack, DevOps, SRE, infrastructure, and platform engineers building scalable systems.

4788

Open Roles

108

Companies

## Companies hiring for _engineering_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Large (~800) · Glassdoor 3.7/5

Ship Fast & Iterate Remote-Friendly Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/apollo)[

![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Hugging Face

Mid (~700) · Glassdoor 3.8/5

Open Source Remote-Friendly Flexible Hours Transparent

](https://jobsbyculture.com/companies/huggingface)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

Small (~200) · Glassdoor 4/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/replit)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Pinecone](https://www.google.com/s2/favicons?domain=pinecone.io&sz=128)

Pinecone

Small (~130) · Glassdoor 4.2/5

Flexible Hours Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/pinecone)[

![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Modal

Small (~110) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Deep Work / Low Meetings Open Source

](https://jobsbyculture.com/companies/modal)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Weaviate

Small (~110) · Glassdoor 4.3/5

Remote-Friendly Async-First Flat Hierarchy Open Source

](https://jobsbyculture.com/companies/weaviate)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Linear

Small (~80) · Glassdoor 4.6/5

Deep Work / Low Meetings Remote-Friendly Async-First Engineering-Driven

](https://jobsbyculture.com/companies/linear)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

PostHog

Small (~170) · Glassdoor 4.3/5

Open Source Transparent Async-First Remote-Friendly

](https://jobsbyculture.com/companies/posthog)[

![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Supabase

Small (~250) · Glassdoor 4.8/5

Open Source Remote-Friendly Engineering-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/supabase)[

![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Tailscale

Small (~290) · Glassdoor 4.4/5

Remote-Friendly Work-Life Balance Strong Comp & Equity Engineering-Driven

](https://jobsbyculture.com/companies/tailscale)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Pylon](https://www.google.com/s2/favicons?domain=usepylon.com&sz=128)

Pylon

Small (~70) · Glassdoor 3/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/pylon)[

![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

incident.io

Small (~140) · Glassdoor 4.5/5

Transparent Safe to Fail Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/incidentio)[

![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Grafana Labs

Large (~1,700) · Glassdoor 4.1/5

Remote-Friendly Open Source Engineering-Driven Transparent

](https://jobsbyculture.com/companies/grafanalabs)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Baseten

Small (~100) · Glassdoor 4.3/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/baseten)[

![Fireworks AI](https://www.google.com/s2/favicons?domain=fireworks.ai&sz=128)

Fireworks AI

Small (~100) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Learning & Growth

](https://jobsbyculture.com/companies/fireworksai)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Wayve

Mid (~850) · Glassdoor 4.4/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/wayve)[

![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

DeepL

Large (~1,570) · Glassdoor 2.9/5

Work-Life Balance Flexible Hours Diverse & Inclusive Direct Product Impact

](https://jobsbyculture.com/companies/deepl)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Contentful

Large (~1,000) · Glassdoor 3.4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/contentful)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Mid (~300) · Glassdoor 4.5/5

Remote-Friendly Open Source Flat Hierarchy Transparent

](https://jobsbyculture.com/companies/n8n)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Poolside](https://www.google.com/s2/favicons?domain=poolside.ai&sz=128)

Poolside

Small (~150) · Glassdoor 3.8/5

Engineering-Driven Remote-Friendly Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/poolside)[

![Descript](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

Descript

Medium (~250) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/descript)[

![Labelbox](https://www.google.com/s2/favicons?domain=labelbox.com&sz=128)

Labelbox

Medium (~350) · Glassdoor 3.2/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/labelbox)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![Granola](https://www.google.com/s2/favicons?domain=granola.ai&sz=128)

Granola

Small (~50) · Glassdoor 5/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/granola)[

![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

Chainguard

Mid (~350) · Glassdoor 4.5/5

Remote-Friendly Open Source Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/chainguard)[

![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

GitLab

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Async-First Transparent Open Source

](https://jobsbyculture.com/companies/gitlab)[

![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Mercor

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Strong Comp & Equity

](https://jobsbyculture.com/companies/mercor)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Webflow

Mid (~800) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Remote-Friendly Work-Life Balance

](https://jobsbyculture.com/companies/webflow)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Writer](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

Writer

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Open Source

](https://jobsbyculture.com/companies/writer)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Abridge

Mid (~500) · Glassdoor 4.7/5

Mission-Driven Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/abridge)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Lambda

Mid (~500) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/lambda)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Ironclad

Mid (~800) · Glassdoor 4.4/5

Work-Life Balance Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/ironclad)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Hippocratic AI

Small (~264) · Glassdoor 3.9/5

Mission-Driven Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/hippocratic-ai)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Exa

Small (~120) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/exa)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)[

![Figure AI](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

Figure AI

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/figureai)[

![Twelve Labs](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

Twelve Labs

Small (~100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Direct Product Impact

](https://jobsbyculture.com/companies/twelve-labs)[

![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Cartesia

Small (~90) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/cartesia)[

![Character AI](https://www.google.com/s2/favicons?domain=character.ai&sz=128)

Character AI

Mid (~250) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/character)[

![Stability AI](https://www.google.com/s2/favicons?domain=stability.ai&sz=128)

Stability AI

Mid (~190) · Glassdoor 3.1/5

Open Source Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/stabilityai)[

![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Lightmatter

Mid (~300) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lightmatter)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Benchling](https://www.google.com/s2/favicons?domain=benchling.com&sz=128)

Benchling

Mid (~800) · Glassdoor 3.5/5

Engineering-Driven Mission-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/benchling)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

LaunchDarkly

Mid (~590) · Glassdoor 3.8/5

Engineering-Driven Work-Life Balance Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/launchdarkly)[

![WorkOS](https://www.google.com/s2/favicons?domain=workos.com&sz=128)

WorkOS

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/workos)[

![Cryptio](https://www.google.com/s2/favicons?domain=cryptio.co&sz=128)

Cryptio

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/cryptio)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)[

![Dropbox](https://www.google.com/s2/favicons?domain=dropbox.com&sz=128)

Dropbox

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/dropbox)[

![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Goodfire

Small (~50) · Glassdoor null/5

Engineering-Driven Ethical AI / Safety Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/goodfire)[

![DevRev](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

DevRev

Mid (~800) · Glassdoor 4.1/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/devrev)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Latest Engineering jobs

[![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Software Engineer, RL Training Infra

OpenAI · San Francisco

›](https://jobsbyculture.com/jobs/openai/software-engineer-rl-training-infra) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

AI Engineer - FDE (Forward Deployed Engineer)

Databricks · Seoul, South Korea

›](https://jobsbyculture.com/jobs/databricks/ai-engineer-fde-forward-deployed-engineer-rftk8) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Senior Solution Engineer

Snowflake · US-NC-Remote

›](https://jobsbyculture.com/jobs/snowflake/senior-solution-engineer-jj4kz) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Administrative Business Partner - Security

Palantir · Palo Alto, CA

›](https://jobsbyculture.com/jobs/palantir/administrative-business-partner-security-x83sp) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Cloud Infrastructure Architect, Okta Federal

Okta · Washington, DC

›](https://jobsbyculture.com/jobs/okta/cloud-infrastructure-architect-okta-federal) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic Fellows Program, AI Security

Anthropic · London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA

›](https://jobsbyculture.com/jobs/anthropic/anthropic-fellows-program-ai-security) [![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

Account Solution Architect

CoreWeave · Sunnyvale, CA

›](https://jobsbyculture.com/jobs/coreweave/account-solution-architect-s756r) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Cloud Operations Engineer

MongoDB · Ireland

›](https://jobsbyculture.com/jobs/mongodb/cloud-operations-engineer-8sdw2) [![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Staff Product Security Engineer

Crusoe · San Francisco, CA - US

›](https://jobsbyculture.com/jobs/crusoe/staff-product-security-engineer) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, Enterprise Platforms (Grower)

Stripe · San Francisco, CA; Chicago, IL & New York, NY

›](https://jobsbyculture.com/jobs/stripe/account-executive-enterprise-platforms-grower) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Staff Software Engineer, AI Platform

Harvey · San Francisco

›](https://jobsbyculture.com/jobs/harvey/staff-software-engineer-ai-platform-67uz9) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Area Vice President, Enterprise Security Sales

Datadog · New York, New York, USA; San Francisco, California, USA

›](https://jobsbyculture.com/jobs/datadog/area-vice-president-enterprise-security-sales) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Applied Value Engineer- CPGR/CMT-NAM

Celonis · Bangalore, India

›](https://jobsbyculture.com/jobs/celonis/applied-value-engineer-cpgr-cmt-nam) [![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Advanced Packaging Process Engineer

Tenstorrent · Santa Clara, California, United States; 新北市, New Taipei City, Taiwan

›](https://jobsbyculture.com/jobs/tenstorrent/advanced-packaging-process-engineer) [![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Avionic Hardware Engineer

Helsing · Munich

›](https://jobsbyculture.com/jobs/helsing/avionic-hardware-engineer) [![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

AI Transformation Intern – Global Customer Engineering, Service Sales (Fall 2026)

Cloudflare · In-Office

›](https://jobsbyculture.com/jobs/cloudflare/ai-transformation-intern-global-customer-engineering-service-sales-fall-2026) [![Figure AI](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

AI Training Infrastructure Engineer – Humanoid Whole Body Control

Figure AI · San Jose, CA

›](https://jobsbyculture.com/jobs/figureai/ai-training-infrastructure-engineer-humanoid-whole-body-control) [![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

AI Engineer

GitLab · Remote, US

›](https://jobsbyculture.com/jobs/gitlab/ai-engineer) [![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

AI Infrastructure Engineer, Model Serving Platform

Scale AI · San Francisco, CA; New York, NY

›](https://jobsbyculture.com/jobs/scale/ai-infrastructure-engineer-model-serving-platform) [![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Senior AI Engineer | Canada | Remote

Grafana Labs · Canada (Remote)

›](https://jobsbyculture.com/jobs/grafanalabs/senior-ai-engineer-canada-remote)

[View all 4788 jobs →](https://jobsbyculture.com/jobs?role=engineering)

## Engineering jobs by culture

[⚙️ Engineering-Driven Engineering 4002](https://jobsbyculture.com/roles/eng-driven/engineering) [🌱 Learning & Growth Engineering 3417](https://jobsbyculture.com/roles/learning/engineering) [🎯 Direct Product Impact Engineering 3327](https://jobsbyculture.com/roles/product-impact/engineering) [💎 Strong Comp & Equity Engineering 3272](https://jobsbyculture.com/roles/equity/engineering) [🚀 Ship Fast & Iterate Engineering 2990](https://jobsbyculture.com/roles/ship-fast/engineering) [🌈 Diverse & Inclusive Engineering 845](https://jobsbyculture.com/roles/diverse/engineering) [🪟 Transparent Engineering 617](https://jobsbyculture.com/roles/transparent/engineering) [🔓 Open Source Engineering 604](https://jobsbyculture.com/roles/open-source/engineering)

## Engineering jobs by seniority

[🌱 Entry / Junior Engineering 59](https://jobsbyculture.com/seniority/entry/engineering) [👤 Mid-Level Engineering 2000](https://jobsbyculture.com/seniority/mid/engineering) [⭐ Senior Engineering 1050](https://jobsbyculture.com/seniority/senior/engineering) [🔷 Staff / Principal Engineering 945](https://jobsbyculture.com/seniority/staff/engineering) [👥 Lead / Manager Engineering 623](https://jobsbyculture.com/seniority/lead/engineering) [🏛️ Director+ Engineering 111](https://jobsbyculture.com/seniority/director/engineering)

## Other role categories

[🧠 ML / AI 411](https://jobsbyculture.com/roles/ml-ai) [📊 Data 345](https://jobsbyculture.com/roles/data) [🎨 Design 229](https://jobsbyculture.com/roles/design) [📋 Product 789](https://jobsbyculture.com/roles/product) [📣 Marketing 531](https://jobsbyculture.com/roles/marketing) [💼 Sales / GTM 3471](https://jobsbyculture.com/roles/sales) [💰 Finance 195](https://jobsbyculture.com/roles/finance) [👤 HR / People 270](https://jobsbyculture.com/roles/hr-people) [⚖️ Legal 228](https://jobsbyculture.com/roles/legal) [🎧 Support 58](https://jobsbyculture.com/roles/support) [⚙️ Operations 414](https://jobsbyculture.com/roles/operations)

---

## Document: Finance Jobs at AI & Tech Companies | JobsByCulture

# Finance Jobs at AI & Tech Companies | JobsByCulture

> Browse 195 finance jobs at 60 AI & tech companies. Finance roles: financial analysts, accountants, controllers, FP&A specialists, and treasury professionals man

Source: https://jobsbyculture.com/roles/finance
Markdown: https://jobsbyculture.com/roles/finance.md
Last updated: 2026-07-14

---
Finance

# 💰 _Finance_ Jobs

Finance roles: financial analysts, accountants, controllers, FP&A specialists, and treasury professionals managing financial operations.

195

Open Roles

60

Companies

## Companies hiring for _finance_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Large (~800) · Glassdoor 3.7/5

Ship Fast & Iterate Remote-Friendly Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/apollo)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Modal

Small (~110) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Deep Work / Low Meetings Open Source

](https://jobsbyculture.com/companies/modal)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Pylon](https://www.google.com/s2/favicons?domain=usepylon.com&sz=128)

Pylon

Small (~70) · Glassdoor 3/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/pylon)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![Granola](https://www.google.com/s2/favicons?domain=granola.ai&sz=128)

Granola

Small (~50) · Glassdoor 5/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/granola)[

![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

GitLab

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Async-First Transparent Open Source

](https://jobsbyculture.com/companies/gitlab)[

![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Webflow

Mid (~800) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Remote-Friendly Work-Life Balance

](https://jobsbyculture.com/companies/webflow)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Lambda

Mid (~500) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/lambda)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Hippocratic AI

Small (~264) · Glassdoor 3.9/5

Mission-Driven Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/hippocratic-ai)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)[

![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Cartesia

Small (~90) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/cartesia)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

LaunchDarkly

Mid (~590) · Glassdoor 3.8/5

Engineering-Driven Work-Life Balance Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/launchdarkly)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Latest Finance jobs

[![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Accounting Technical Solutions Lead

Stripe · Seattle, San Francisco, New York

›](https://jobsbyculture.com/jobs/stripe/accounting-technical-solutions-lead) [![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

Analyst, Strategic Finance & Corporate FP&A

CoreWeave · Sunnyvale, CA

›](https://jobsbyculture.com/jobs/coreweave/analyst-strategic-finance-corporate-fp-a) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Accounting Manager

Databricks · San Francisco, California

›](https://jobsbyculture.com/jobs/databricks/accounting-manager) [![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Accountant, Capital Markets

Coinbase · New York City, NY

›](https://jobsbyculture.com/jobs/coinbase/accountant-capital-markets) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Accounting Channel Partner Manager

Brex · San Francisco, California, United States

›](https://jobsbyculture.com/jobs/brex/accounting-channel-partner-manager-4foqd) [![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Senior Financial Analyst - Cloud Finance

Crusoe · San Francisco, CA - US

›](https://jobsbyculture.com/jobs/crusoe/senior-financial-analyst-cloud-finance) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Commercial Lead - Financial Products

Adyen · San Francisco

›](https://jobsbyculture.com/jobs/adyen/commercial-lead-financial-products-dj0ox) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Inventory and Cost Accounting Lead

OpenAI · San Francisco

›](https://jobsbyculture.com/jobs/openai/inventory-and-cost-accounting-lead) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Senior Revenue Accountant

Palantir · New York, NY

›](https://jobsbyculture.com/jobs/palantir/senior-revenue-accountant-z5i4v) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Finance & Strategy, Datacenter FP&A

Anthropic · San Francisco, CA | New York City, NY

›](https://jobsbyculture.com/jobs/anthropic/finance-strategy-datacenter-fp-a) [![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Senior Revenue Accountant

Cohere · Toronto

›](https://jobsbyculture.com/jobs/cohere/senior-revenue-accountant) [![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Accountant

Elastic · Bangalore, India

›](https://jobsbyculture.com/jobs/elastic/accountant) [![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Accounts Payable Accountant

Lambda · San Jose Office (First St)

›](https://jobsbyculture.com/jobs/lambda/accounts-payable-accountant) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Partner Development Manager, Financial Services DCP Partners

Snowflake · US-NY-Remote

›](https://jobsbyculture.com/jobs/snowflake/partner-development-manager-financial-services-dcp-partners) [![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Senior Director, Accounting

Deepgram · USA | Remote

›](https://jobsbyculture.com/jobs/deepgram/senior-director-accounting) [![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Senior Treasury Manager

Notion · San Francisco, California

›](https://jobsbyculture.com/jobs/notion/senior-treasury-manager) [![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Head of Investor Relations

Plaid · San Francisco HQ

›](https://jobsbyculture.com/jobs/plaid/head-of-investor-relations) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

FP&A Analyst - Data Insights

Datadog · New York, New York, USA

›](https://jobsbyculture.com/jobs/datadog/fp-a-analyst-data-insights) [![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Financial Accountant

Helsing · London

›](https://jobsbyculture.com/jobs/helsing/financial-accountant) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Client Value Partner (CVP) - Financial Services Industry

Celonis · New York, US, New York

›](https://jobsbyculture.com/jobs/celonis/client-value-partner-cvp-financial-services-industry)

[View all 195 jobs →](https://jobsbyculture.com/jobs?role=finance)

## Finance jobs by culture

[⚙️ Engineering-Driven Finance 165](https://jobsbyculture.com/roles/eng-driven/finance) [💎 Strong Comp & Equity Finance 138](https://jobsbyculture.com/roles/equity/finance) [🎯 Direct Product Impact Finance 135](https://jobsbyculture.com/roles/product-impact/finance) [🌱 Learning & Growth Finance 133](https://jobsbyculture.com/roles/learning/finance) [🚀 Ship Fast & Iterate Finance 123](https://jobsbyculture.com/roles/ship-fast/finance) [🪟 Transparent Finance 44](https://jobsbyculture.com/roles/transparent/finance) [🌈 Diverse & Inclusive Finance 22](https://jobsbyculture.com/roles/diverse/finance) [🌐 Remote-Friendly Finance 21](https://jobsbyculture.com/roles/remote/finance)

## Finance jobs by seniority

[🌱 Entry / Junior Finance 6](https://jobsbyculture.com/seniority/entry/finance) [👤 Mid-Level Finance 44](https://jobsbyculture.com/seniority/mid/finance) [⭐ Senior Finance 48](https://jobsbyculture.com/seniority/senior/finance) [🔷 Staff / Principal Finance 6](https://jobsbyculture.com/seniority/staff/finance) [👥 Lead / Manager Finance 74](https://jobsbyculture.com/seniority/lead/finance) [🏛️ Director+ Finance 17](https://jobsbyculture.com/seniority/director/finance)

## Other role categories

[🧠 ML / AI 411](https://jobsbyculture.com/roles/ml-ai) [📊 Data 345](https://jobsbyculture.com/roles/data) [🎨 Design 229](https://jobsbyculture.com/roles/design) [💻 Engineering 4788](https://jobsbyculture.com/roles/engineering) [📋 Product 789](https://jobsbyculture.com/roles/product) [📣 Marketing 531](https://jobsbyculture.com/roles/marketing) [💼 Sales / GTM 3471](https://jobsbyculture.com/roles/sales) [👤 HR / People 270](https://jobsbyculture.com/roles/hr-people) [⚖️ Legal 228](https://jobsbyculture.com/roles/legal) [🎧 Support 58](https://jobsbyculture.com/roles/support) [⚙️ Operations 414](https://jobsbyculture.com/roles/operations)

---

## Document: HR / People Jobs at AI & Tech Companies | JobsByCulture

# HR / People Jobs at AI & Tech Companies | JobsByCulture

> Browse 270 hr / people jobs at 72 AI & tech companies. People and HR roles: recruiters, people partners, talent acquisition leads, and HR business partners buil

Source: https://jobsbyculture.com/roles/hr-people
Markdown: https://jobsbyculture.com/roles/hr-people.md
Last updated: 2026-07-14

---
HR / People

# 👤 _HR / People_ Jobs

People and HR roles: recruiters, people partners, talent acquisition leads, and HR business partners building great teams and culture.

270

Open Roles

72

Companies

## Companies hiring for _hr / people_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Large (~800) · Glassdoor 3.7/5

Ship Fast & Iterate Remote-Friendly Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/apollo)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

Small (~200) · Glassdoor 4/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/replit)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Linear

Small (~80) · Glassdoor 4.6/5

Deep Work / Low Meetings Remote-Friendly Async-First Engineering-Driven

](https://jobsbyculture.com/companies/linear)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Baseten

Small (~100) · Glassdoor 4.3/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/baseten)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Wayve

Mid (~850) · Glassdoor 4.4/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/wayve)[

![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

DeepL

Large (~1,570) · Glassdoor 2.9/5

Work-Life Balance Flexible Hours Diverse & Inclusive Direct Product Impact

](https://jobsbyculture.com/companies/deepl)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Mid (~300) · Glassdoor 4.5/5

Remote-Friendly Open Source Flat Hierarchy Transparent

](https://jobsbyculture.com/companies/n8n)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Labelbox](https://www.google.com/s2/favicons?domain=labelbox.com&sz=128)

Labelbox

Medium (~350) · Glassdoor 3.2/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/labelbox)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![Granola](https://www.google.com/s2/favicons?domain=granola.ai&sz=128)

Granola

Small (~50) · Glassdoor 5/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/granola)[

![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

Chainguard

Mid (~350) · Glassdoor 4.5/5

Remote-Friendly Open Source Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/chainguard)[

![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

GitLab

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Async-First Transparent Open Source

](https://jobsbyculture.com/companies/gitlab)[

![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Mercor

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Strong Comp & Equity

](https://jobsbyculture.com/companies/mercor)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Ironclad

Mid (~800) · Glassdoor 4.4/5

Work-Life Balance Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/ironclad)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Hippocratic AI

Small (~264) · Glassdoor 3.9/5

Mission-Driven Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/hippocratic-ai)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![Figure AI](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

Figure AI

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/figureai)[

![Twelve Labs](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

Twelve Labs

Small (~100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Direct Product Impact

](https://jobsbyculture.com/companies/twelve-labs)[

![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Cartesia

Small (~90) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/cartesia)[

![Stability AI](https://www.google.com/s2/favicons?domain=stability.ai&sz=128)

Stability AI

Mid (~190) · Glassdoor 3.1/5

Open Source Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/stabilityai)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![WorkOS](https://www.google.com/s2/favicons?domain=workos.com&sz=128)

WorkOS

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/workos)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)[

![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Goodfire

Small (~50) · Glassdoor null/5

Engineering-Driven Ethical AI / Safety Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/goodfire)

## Latest HR / People jobs

[![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Recruiting Operations Manager

Harvey · Remote

›](https://jobsbyculture.com/jobs/harvey/recruiting-operations-manager-dhri6) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Coordinator, Business Recruiting - Contract

Datadog · Boston, Massachusetts, USA; New York, New York, USA

›](https://jobsbyculture.com/jobs/datadog/coordinator-business-recruiting-contract) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Business Recruiter (São Paulo, Brazil)

Figma · São Paulo, Brazil

›](https://jobsbyculture.com/jobs/figma/business-recruiter-s-o-paulo-brazil) [![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

AI Talent Pool

Doctolib · Paris, Paris, France

›](https://jobsbyculture.com/jobs/doctolib/ai-talent-pool) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

CDD Risk Analyst, Direct Customer Onboarding

Adyen · San Francisco

›](https://jobsbyculture.com/jobs/adyen/cdd-risk-analyst-direct-customer-onboarding) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Compliance Manager, User Enablement

Stripe · Dublin OR London

›](https://jobsbyculture.com/jobs/stripe/compliance-manager-user-enablement) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

M&A Recruiter, People

OpenAI · San Francisco

›](https://jobsbyculture.com/jobs/openai/m-a-recruiter-people) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Associate, HR Shared Services

MongoDB · Gurugram

›](https://jobsbyculture.com/jobs/mongodb/associate-hr-shared-services) [![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

People Partner, EPD

Notion · San Francisco, California

›](https://jobsbyculture.com/jobs/notion/people-partner-epd) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Business Recruiter

Brex · Salt Lake City, Utah, United States

›](https://jobsbyculture.com/jobs/brex/business-recruiter-4g7gz) [![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Field Enablement Manager, Product & Partner

Glean · San Francisco, CA

›](https://jobsbyculture.com/jobs/glean/field-enablement-manager-product-partner-cxryf) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Senior Manager, Technical Executive Recruiting

Snowflake · US-CA-Menlo Park

›](https://jobsbyculture.com/jobs/snowflake/senior-manager-technical-executive-recruiting) [![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Customs Specialist - Join Our Talent Community

Flexport · Los Angeles, California, United States

›](https://jobsbyculture.com/jobs/flexport/customs-specialist-join-our-talent-community) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

People Partner

Palantir · New York, NY

›](https://jobsbyculture.com/jobs/palantir/people-partner-55iha) [![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Senior Product Recruiter

Suno · NYC

›](https://jobsbyculture.com/jobs/suno/senior-product-recruiter) [![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Senior Recruiter

Crusoe · Tel Aviv - IL

›](https://jobsbyculture.com/jobs/crusoe/senior-recruiter-wfoex) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Recruiting Coordinator (Contract)

Sierra · San Francisco, CA

›](https://jobsbyculture.com/jobs/sierra/recruiting-coordinator-contract) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Customer Enablement Specialist

Databricks · Bellevue, Washington

›](https://jobsbyculture.com/jobs/databricks/customer-enablement-specialist-d34qn) [![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

Director, Business Recruiting

CoreWeave · Sunnyvale, CA / San Francisco, CA / Bellevue, WA

›](https://jobsbyculture.com/jobs/coreweave/director-business-recruiting) [![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Director of Talent Acquisition, APJC

Cloudflare · Hybrid

›](https://jobsbyculture.com/jobs/cloudflare/director-of-talent-acquisition-apjc)

[View all 270 jobs →](https://jobsbyculture.com/jobs?role=hr-people)

## HR / People jobs by culture

[⚙️ Engineering-Driven HR / People 221](https://jobsbyculture.com/roles/eng-driven/hr-people) [🎯 Direct Product Impact HR / People 210](https://jobsbyculture.com/roles/product-impact/hr-people) [🌱 Learning & Growth HR / People 207](https://jobsbyculture.com/roles/learning/hr-people) [🚀 Ship Fast & Iterate HR / People 204](https://jobsbyculture.com/roles/ship-fast/hr-people) [💎 Strong Comp & Equity HR / People 156](https://jobsbyculture.com/roles/equity/hr-people) [🪟 Transparent HR / People 45](https://jobsbyculture.com/roles/transparent/hr-people) [💜 Mission-Driven HR / People 28](https://jobsbyculture.com/roles/social-impact/hr-people) [🌈 Diverse & Inclusive HR / People 28](https://jobsbyculture.com/roles/diverse/hr-people)

## HR / People jobs by seniority

[🌱 Entry / Junior HR / People 5](https://jobsbyculture.com/seniority/entry/hr-people) [👤 Mid-Level HR / People 131](https://jobsbyculture.com/seniority/mid/hr-people) [⭐ Senior HR / People 50](https://jobsbyculture.com/seniority/senior/hr-people) [🔷 Staff / Principal HR / People 8](https://jobsbyculture.com/seniority/staff/hr-people) [👥 Lead / Manager HR / People 59](https://jobsbyculture.com/seniority/lead/hr-people) [🏛️ Director+ HR / People 17](https://jobsbyculture.com/seniority/director/hr-people)

## Other role categories

[🧠 ML / AI 411](https://jobsbyculture.com/roles/ml-ai) [📊 Data 345](https://jobsbyculture.com/roles/data) [🎨 Design 229](https://jobsbyculture.com/roles/design) [💻 Engineering 4788](https://jobsbyculture.com/roles/engineering) [📋 Product 789](https://jobsbyculture.com/roles/product) [📣 Marketing 531](https://jobsbyculture.com/roles/marketing) [💼 Sales / GTM 3471](https://jobsbyculture.com/roles/sales) [💰 Finance 195](https://jobsbyculture.com/roles/finance) [⚖️ Legal 228](https://jobsbyculture.com/roles/legal) [🎧 Support 58](https://jobsbyculture.com/roles/support) [⚙️ Operations 414](https://jobsbyculture.com/roles/operations)

---

## Document: Legal Jobs at AI & Tech Companies | JobsByCulture

# Legal Jobs at AI & Tech Companies | JobsByCulture

> Browse 228 legal jobs at 59 AI & tech companies. Legal roles: counsel, compliance officers, policy analysts, and legal operations professionals navigating regul

Source: https://jobsbyculture.com/roles/legal
Markdown: https://jobsbyculture.com/roles/legal.md
Last updated: 2026-07-14

---
Legal

# ⚖️ _Legal_ Jobs

Legal roles: counsel, compliance officers, policy analysts, and legal operations professionals navigating regulatory and legal landscapes.

228

Open Roles

59

Companies

## Companies hiring for _legal_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Large (~800) · Glassdoor 3.7/5

Ship Fast & Iterate Remote-Friendly Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/apollo)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

Small (~200) · Glassdoor 4/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/replit)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Linear

Small (~80) · Glassdoor 4.6/5

Deep Work / Low Meetings Remote-Friendly Async-First Engineering-Driven

](https://jobsbyculture.com/companies/linear)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Baseten

Small (~100) · Glassdoor 4.3/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/baseten)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Wayve

Mid (~850) · Glassdoor 4.4/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/wayve)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

Chainguard

Mid (~350) · Glassdoor 4.5/5

Remote-Friendly Open Source Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/chainguard)[

![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

GitLab

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Async-First Transparent Open Source

](https://jobsbyculture.com/companies/gitlab)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Lambda

Mid (~500) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/lambda)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Hippocratic AI

Small (~264) · Glassdoor 3.9/5

Mission-Driven Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/hippocratic-ai)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)[

![Figure AI](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

Figure AI

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/figureai)[

![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Cartesia

Small (~90) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/cartesia)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

LaunchDarkly

Mid (~590) · Glassdoor 3.8/5

Engineering-Driven Work-Life Balance Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/launchdarkly)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Latest Legal jobs

[![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Associate Commercial Counsel - EMEA

Harvey · London

›](https://jobsbyculture.com/jobs/harvey/associate-commercial-counsel-emea) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

AI Compliance Officer

Anthropic · Dublin, IE

›](https://jobsbyculture.com/jobs/anthropic/ai-compliance-officer) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Chief Compliance Officer (APAC)

Stripe · Singapore

›](https://jobsbyculture.com/jobs/stripe/chief-compliance-officer-apac) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Model Policy, Chemical & Biological Risk

OpenAI · San Francisco

›](https://jobsbyculture.com/jobs/openai/model-policy-chemical-biological-risk) [![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

AMLCO & Senior Compliance Associate

Coinbase · Remote - Cyprus

›](https://jobsbyculture.com/jobs/coinbase/amlco-senior-compliance-associate) [![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Associate General Counsel, Product and Privacy

Scale AI · San Francisco, CA

›](https://jobsbyculture.com/jobs/scale/associate-general-counsel-product-and-privacy) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Associate Legal Counsel, Japan

Airbnb · Tokyo, Japan

›](https://jobsbyculture.com/jobs/airbnb/associate-legal-counsel-japan) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

APAC Lead - Payment Method Compliance

Adyen · Singapore

›](https://jobsbyculture.com/jobs/adyen/apac-lead-payment-method-compliance) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Corporate Counsel, IP

Okta · Bellevue, Washington; Chicago, Illinois; New York, New York; Washington, DC

›](https://jobsbyculture.com/jobs/okta/corporate-counsel-ip-iigpr) [![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Director, Legal Counsel, Corporate & Securities

Crusoe · Denver, CO - US

›](https://jobsbyculture.com/jobs/crusoe/director-legal-counsel-corporate-securities-xhukc) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Legal Counsel, Commercial

Databricks · Singapore

›](https://jobsbyculture.com/jobs/databricks/legal-counsel-commercial) [![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Assistant General Counsel, Credit Cards

Robinhood · Menlo Park, CA; New York, NY; Washington, DC

›](https://jobsbyculture.com/jobs/robinhood/assistant-general-counsel-credit-cards) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Corporate Counsel

Figma · San Francisco, CA • New York, NY • United States

›](https://jobsbyculture.com/jobs/figma/corporate-counsel) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Head of Audit, Risk, and Compliance

Navan · Palo Alto, CA or San Francisco, CA

›](https://jobsbyculture.com/jobs/navan/head-of-audit-risk-and-compliance) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Senior Litigation Counsel

Snowflake · US-VA-McLean

›](https://jobsbyculture.com/jobs/snowflake/senior-litigation-counsel) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Associate Manager - International Legislative and Regulatory Affairs

Spotify · Washington D.C.

›](https://jobsbyculture.com/jobs/spotify/associate-manager-international-legislative-and-regulatory-affairs) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Corporate Counsel

Palantir · New York, NY

›](https://jobsbyculture.com/jobs/palantir/corporate-counsel-ajo99) [![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

Energy & Climate Policy Engagement Lead

CoreWeave · Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA / Washington, D.C.

›](https://jobsbyculture.com/jobs/coreweave/energy-climate-policy-engagement-lead) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Commercial Counsel

Sierra · San Francisco, CA

›](https://jobsbyculture.com/jobs/sierra/commercial-counsel-w4q57) [![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

German Commercial Counsel

Elastic · Germany

›](https://jobsbyculture.com/jobs/elastic/german-commercial-counsel)

[View all 228 jobs →](https://jobsbyculture.com/jobs?role=legal)

## Legal jobs by culture

[⚙️ Engineering-Driven Legal 179](https://jobsbyculture.com/roles/eng-driven/legal) [💎 Strong Comp & Equity Legal 164](https://jobsbyculture.com/roles/equity/legal) [🌱 Learning & Growth Legal 159](https://jobsbyculture.com/roles/learning/legal) [🎯 Direct Product Impact Legal 143](https://jobsbyculture.com/roles/product-impact/legal) [🚀 Ship Fast & Iterate Legal 140](https://jobsbyculture.com/roles/ship-fast/legal) [⚖️ Work-Life Balance Legal 46](https://jobsbyculture.com/roles/wlb/legal) [🌐 Remote-Friendly Legal 37](https://jobsbyculture.com/roles/remote/legal) [🌈 Diverse & Inclusive Legal 36](https://jobsbyculture.com/roles/diverse/legal)

## Legal jobs by seniority

[🌱 Entry / Junior Legal 15](https://jobsbyculture.com/seniority/entry/legal) [👤 Mid-Level Legal 107](https://jobsbyculture.com/seniority/mid/legal) [⭐ Senior Legal 43](https://jobsbyculture.com/seniority/senior/legal) [👥 Lead / Manager Legal 48](https://jobsbyculture.com/seniority/lead/legal) [🏛️ Director+ Legal 15](https://jobsbyculture.com/seniority/director/legal)

## Other role categories

[🧠 ML / AI 411](https://jobsbyculture.com/roles/ml-ai) [📊 Data 345](https://jobsbyculture.com/roles/data) [🎨 Design 229](https://jobsbyculture.com/roles/design) [💻 Engineering 4788](https://jobsbyculture.com/roles/engineering) [📋 Product 789](https://jobsbyculture.com/roles/product) [📣 Marketing 531](https://jobsbyculture.com/roles/marketing) [💼 Sales / GTM 3471](https://jobsbyculture.com/roles/sales) [💰 Finance 195](https://jobsbyculture.com/roles/finance) [👤 HR / People 270](https://jobsbyculture.com/roles/hr-people) [🎧 Support 58](https://jobsbyculture.com/roles/support) [⚙️ Operations 414](https://jobsbyculture.com/roles/operations)

---

## Document: Marketing Jobs at AI & Tech Companies | JobsByCulture

# Marketing Jobs at AI & Tech Companies | JobsByCulture

> Browse 531 marketing jobs at 85 AI & tech companies. Marketing roles: growth marketers, content strategists, SEO specialists, brand marketers, and communication

Source: https://jobsbyculture.com/roles/marketing
Markdown: https://jobsbyculture.com/roles/marketing.md
Last updated: 2026-07-14

---
Marketing

# 📣 _Marketing_ Jobs

Marketing roles: growth marketers, content strategists, SEO specialists, brand marketers, and communications professionals driving awareness and acquisition.

531

Open Roles

85

Companies

## Companies hiring for _marketing_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Large (~800) · Glassdoor 3.7/5

Ship Fast & Iterate Remote-Friendly Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/apollo)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

Small (~200) · Glassdoor 4/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/replit)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Modal

Small (~110) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Deep Work / Low Meetings Open Source

](https://jobsbyculture.com/companies/modal)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Linear

Small (~80) · Glassdoor 4.6/5

Deep Work / Low Meetings Remote-Friendly Async-First Engineering-Driven

](https://jobsbyculture.com/companies/linear)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Supabase

Small (~250) · Glassdoor 4.8/5

Open Source Remote-Friendly Engineering-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/supabase)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Pylon](https://www.google.com/s2/favicons?domain=usepylon.com&sz=128)

Pylon

Small (~70) · Glassdoor 3/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/pylon)[

![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

incident.io

Small (~140) · Glassdoor 4.5/5

Transparent Safe to Fail Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/incidentio)[

![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Grafana Labs

Large (~1,700) · Glassdoor 4.1/5

Remote-Friendly Open Source Engineering-Driven Transparent

](https://jobsbyculture.com/companies/grafanalabs)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Baseten

Small (~100) · Glassdoor 4.3/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/baseten)[

![Fireworks AI](https://www.google.com/s2/favicons?domain=fireworks.ai&sz=128)

Fireworks AI

Small (~100) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Learning & Growth

](https://jobsbyculture.com/companies/fireworksai)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

DeepL

Large (~1,570) · Glassdoor 2.9/5

Work-Life Balance Flexible Hours Diverse & Inclusive Direct Product Impact

](https://jobsbyculture.com/companies/deepl)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Descript](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

Descript

Medium (~250) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/descript)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

Chainguard

Mid (~350) · Glassdoor 4.5/5

Remote-Friendly Open Source Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/chainguard)[

![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

GitLab

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Async-First Transparent Open Source

](https://jobsbyculture.com/companies/gitlab)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Webflow

Mid (~800) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Remote-Friendly Work-Life Balance

](https://jobsbyculture.com/companies/webflow)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Writer](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

Writer

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Open Source

](https://jobsbyculture.com/companies/writer)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Abridge

Mid (~500) · Glassdoor 4.7/5

Mission-Driven Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/abridge)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Ironclad

Mid (~800) · Glassdoor 4.4/5

Work-Life Balance Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/ironclad)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Hippocratic AI

Small (~264) · Glassdoor 3.9/5

Mission-Driven Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/hippocratic-ai)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Exa

Small (~120) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/exa)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)[

![Character AI](https://www.google.com/s2/favicons?domain=character.ai&sz=128)

Character AI

Mid (~250) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/character)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

LaunchDarkly

Mid (~590) · Glassdoor 3.8/5

Engineering-Driven Work-Life Balance Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/launchdarkly)[

![WorkOS](https://www.google.com/s2/favicons?domain=workos.com&sz=128)

WorkOS

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/workos)[

![Dropbox](https://www.google.com/s2/favicons?domain=dropbox.com&sz=128)

Dropbox

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/dropbox)[

![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Goodfire

Small (~50) · Glassdoor null/5

Engineering-Driven Ethical AI / Safety Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/goodfire)[

![DevRev](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

DevRev

Mid (~800) · Glassdoor 4.1/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/devrev)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Latest Marketing jobs

[![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

AEO and GEO Marketing Manager

Stripe · Remote in the US

›](https://jobsbyculture.com/jobs/stripe/aeo-and-geo-marketing-manager) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Executive Communications Manager

Snowflake · US-CA-Menlo Park

›](https://jobsbyculture.com/jobs/snowflake/executive-communications-manager) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Compliance Manager, Marketing

Brex · San Francisco, California, United States

›](https://jobsbyculture.com/jobs/brex/compliance-manager-marketing-d2klk) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Industry Product Marketing Manager

OpenAI · San Francisco

›](https://jobsbyculture.com/jobs/openai/industry-product-marketing-manager) [![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

Social Media Manager

ElevenLabs · London

›](https://jobsbyculture.com/jobs/elevenlabs/social-media-manager) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Assistant Manager, Music Marketing - South Korea (Contractor)

Spotify · Seoul

›](https://jobsbyculture.com/jobs/spotify/assistant-manager-music-marketing-south-korea-contractor) [![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Brand Campaigns Director

Duolingo · New York, NY

›](https://jobsbyculture.com/jobs/duolingo/brand-campaigns-director-s47o5) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Brand Copywriter

Navan · Austin, TX

›](https://jobsbyculture.com/jobs/navan/brand-copywriter) [![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Customer Marketing Manager

Asana · San Francisco

›](https://jobsbyculture.com/jobs/asana/customer-marketing-manager-8jrt4) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Senior Product Marketing Manager, Core

Harvey · San Francisco

›](https://jobsbyculture.com/jobs/harvey/senior-product-marketing-manager-core-cqi23) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Associate Field Marketing Manager

Datadog · Bangalore, India

›](https://jobsbyculture.com/jobs/datadog/associate-field-marketing-manager) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

CEO Communications Manager

Okta · San Francisco, California

›](https://jobsbyculture.com/jobs/okta/ceo-communications-manager) [![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Director, Performance Marketing

Ramp · New York, NY (HQ)

›](https://jobsbyculture.com/jobs/ramp/director-performance-marketing) [![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Brand Copy Lead

Replit · Foster City, CA

›](https://jobsbyculture.com/jobs/replit/brand-copy-lead) [![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Employer Brand Lead (x/f/m)

Doctolib · Berlin, Berlin, Germany

›](https://jobsbyculture.com/jobs/doctolib/employer-brand-lead-x-f-m) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Communications Lead, Enterprise

Anthropic · San Francisco, CA | New York City, NY

›](https://jobsbyculture.com/jobs/anthropic/communications-lead-enterprise) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Art Director - Internal Comms Branding

Adyen · Amsterdam

›](https://jobsbyculture.com/jobs/adyen/art-director-internal-comms-branding) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Chief of Staff - Marketing

MongoDB · New York City; Palo Alto; San Francisco

›](https://jobsbyculture.com/jobs/mongodb/chief-of-staff-marketing) [![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Executive Editorial Lead

Plaid · San Francisco HQ

›](https://jobsbyculture.com/jobs/plaid/executive-editorial-lead) [![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Customer & Growth Product Marketing Lead

Glean · San Francisco, CA

›](https://jobsbyculture.com/jobs/glean/customer-growth-product-marketing-lead-3hppc)

[View all 531 jobs →](https://jobsbyculture.com/jobs?role=marketing)

## Marketing jobs by culture

[🌱 Learning & Growth Marketing 425](https://jobsbyculture.com/roles/learning/marketing) [⚙️ Engineering-Driven Marketing 402](https://jobsbyculture.com/roles/eng-driven/marketing) [🎯 Direct Product Impact Marketing 398](https://jobsbyculture.com/roles/product-impact/marketing) [🚀 Ship Fast & Iterate Marketing 336](https://jobsbyculture.com/roles/ship-fast/marketing) [💎 Strong Comp & Equity Marketing 301](https://jobsbyculture.com/roles/equity/marketing) [🪟 Transparent Marketing 116](https://jobsbyculture.com/roles/transparent/marketing) [⚖️ Work-Life Balance Marketing 88](https://jobsbyculture.com/roles/wlb/marketing) [🌐 Remote-Friendly Marketing 73](https://jobsbyculture.com/roles/remote/marketing)

## Marketing jobs by seniority

[🌱 Entry / Junior Marketing 14](https://jobsbyculture.com/seniority/entry/marketing) [👤 Mid-Level Marketing 85](https://jobsbyculture.com/seniority/mid/marketing) [⭐ Senior Marketing 15](https://jobsbyculture.com/seniority/senior/marketing) [👥 Lead / Manager Marketing 330](https://jobsbyculture.com/seniority/lead/marketing) [🏛️ Director+ Marketing 83](https://jobsbyculture.com/seniority/director/marketing)

## Other role categories

[🧠 ML / AI 411](https://jobsbyculture.com/roles/ml-ai) [📊 Data 345](https://jobsbyculture.com/roles/data) [🎨 Design 229](https://jobsbyculture.com/roles/design) [💻 Engineering 4788](https://jobsbyculture.com/roles/engineering) [📋 Product 789](https://jobsbyculture.com/roles/product) [💼 Sales / GTM 3471](https://jobsbyculture.com/roles/sales) [💰 Finance 195](https://jobsbyculture.com/roles/finance) [👤 HR / People 270](https://jobsbyculture.com/roles/hr-people) [⚖️ Legal 228](https://jobsbyculture.com/roles/legal) [🎧 Support 58](https://jobsbyculture.com/roles/support) [⚙️ Operations 414](https://jobsbyculture.com/roles/operations)

---

## Document: ML / AI Jobs at AI & Tech Companies | JobsByCulture

# ML / AI Jobs at AI & Tech Companies | JobsByCulture

> Browse 411 ml / ai jobs at 67 AI & tech companies. Machine learning and AI roles: research scientists, ML engineers, NLP specialists, computer vision engineers,

Source: https://jobsbyculture.com/roles/ml-ai
Markdown: https://jobsbyculture.com/roles/ml-ai.md
Last updated: 2026-07-14

---
ML / AI

# 🧠 _ML / AI_ Jobs

Machine learning and AI roles: research scientists, ML engineers, NLP specialists, computer vision engineers, and AI researchers working on cutting-edge models.

411

Open Roles

67

Companies

## Companies hiring for _ml / ai_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Hugging Face

Mid (~700) · Glassdoor 3.8/5

Open Source Remote-Friendly Flexible Hours Transparent

](https://jobsbyculture.com/companies/huggingface)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Google DeepMind

Large (~7,000) · Glassdoor 4.2/5

Deep Work / Low Meetings Learning & Growth Engineering-Driven Diverse & Inclusive

](https://jobsbyculture.com/companies/deepmind)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Modal

Small (~110) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Deep Work / Low Meetings Open Source

](https://jobsbyculture.com/companies/modal)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

PostHog

Small (~170) · Glassdoor 4.3/5

Open Source Transparent Async-First Remote-Friendly

](https://jobsbyculture.com/companies/posthog)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Baseten

Small (~100) · Glassdoor 4.3/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/baseten)[

![Fireworks AI](https://www.google.com/s2/favicons?domain=fireworks.ai&sz=128)

Fireworks AI

Small (~100) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Learning & Growth

](https://jobsbyculture.com/companies/fireworksai)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Wayve

Mid (~850) · Glassdoor 4.4/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/wayve)[

![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Contentful

Large (~1,000) · Glassdoor 3.4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/contentful)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Descript](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

Descript

Medium (~250) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/descript)[

![Labelbox](https://www.google.com/s2/favicons?domain=labelbox.com&sz=128)

Labelbox

Medium (~350) · Glassdoor 3.2/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/labelbox)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Mercor

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Strong Comp & Equity

](https://jobsbyculture.com/companies/mercor)[

![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Webflow

Mid (~800) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Remote-Friendly Work-Life Balance

](https://jobsbyculture.com/companies/webflow)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Writer](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

Writer

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Open Source

](https://jobsbyculture.com/companies/writer)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Abridge

Mid (~500) · Glassdoor 4.7/5

Mission-Driven Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/abridge)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Lambda

Mid (~500) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/lambda)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Hippocratic AI

Small (~264) · Glassdoor 3.9/5

Mission-Driven Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/hippocratic-ai)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Exa

Small (~120) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/exa)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)[

![Figure AI](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

Figure AI

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/figureai)[

![Twelve Labs](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

Twelve Labs

Small (~100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Direct Product Impact

](https://jobsbyculture.com/companies/twelve-labs)[

![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Cartesia

Small (~90) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/cartesia)[

![Character AI](https://www.google.com/s2/favicons?domain=character.ai&sz=128)

Character AI

Mid (~250) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/character)[

![Stability AI](https://www.google.com/s2/favicons?domain=stability.ai&sz=128)

Stability AI

Mid (~190) · Glassdoor 3.1/5

Open Source Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/stabilityai)[

![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Lightmatter

Mid (~300) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lightmatter)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)[

![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Goodfire

Small (~50) · Glassdoor null/5

Engineering-Driven Ethical AI / Safety Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/goodfire)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Latest ML / AI jobs

[![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic Fellows Program, AI Safety

Anthropic · London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA

›](https://jobsbyculture.com/jobs/anthropic/anthropic-fellows-program-ai-safety) [![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Ads Conversion Modeling, Machine Learning Engineering Manager

Reddit · Remote - United States

›](https://jobsbyculture.com/jobs/reddit/ads-conversion-modeling-machine-learning-engineering-manager) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Research Engineer

OpenAI · San Francisco

›](https://jobsbyculture.com/jobs/openai/research-engineer) [![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Machine Learning Engineer, Global Public Sector

Scale AI · Doha, Qatar; London, UK

›](https://jobsbyculture.com/jobs/scale/machine-learning-engineer-global-public-sector) [![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Applied Scientist / Machine Learning Engineer

Wayve · Sunnyvale

›](https://jobsbyculture.com/jobs/wayve/applied-scientist-machine-learning-engineer) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Machine Learning Engineer, Community Support Engineering

Airbnb · San Francisco, CA

›](https://jobsbyculture.com/jobs/airbnb/machine-learning-engineer-community-support-engineering) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Machine Learning Engineer

Spotify · New York, NY

›](https://jobsbyculture.com/jobs/spotify/machine-learning-engineer) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

PhD GenAI Research Scientist Intern

Databricks · San Francisco, California

›](https://jobsbyculture.com/jobs/databricks/phd-genai-research-scientist-intern) [![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Senior Research Engineer, Model Evaluation

Cohere · Toronto

›](https://jobsbyculture.com/jobs/cohere/senior-research-engineer-model-evaluation) [![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

AI Researcher, Core ML (Turbo)

Together AI · San Francisco

›](https://jobsbyculture.com/jobs/together/ai-researcher-core-ml-turbo) [![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Principal Research Engineer

Synthesia · Europe

›](https://jobsbyculture.com/jobs/synthesia/principal-research-engineer) [![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

AI Research Engineer - 3D Computer Vision

Helsing · Berlin; London; Munich; Paris

›](https://jobsbyculture.com/jobs/helsing/ai-research-engineer-3d-computer-vision) [![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Senior Research Engineer

Decagon · San Francisco

›](https://jobsbyculture.com/jobs/decagon/senior-research-engineer-xzfu6) [![Twelve Labs](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

Senior Software Engineer, ML Data

Twelve Labs · Seoul, South Korea

›](https://jobsbyculture.com/jobs/twelve-labs/senior-software-engineer-ml-data) [![Character AI](https://www.google.com/s2/favicons?domain=character.ai&sz=128)

Machine Learning Infrastructure Engineer

Character AI · Redwood City, CA

›](https://jobsbyculture.com/jobs/character/machine-learning-infrastructure-engineer) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Machine Learning Engineer

Stripe · Toronto

›](https://jobsbyculture.com/jobs/stripe/machine-learning-engineer) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

AI Research Engineer - Datadog AI Research (DAIR)

Datadog · Paris, France

›](https://jobsbyculture.com/jobs/datadog/ai-research-engineer-datadog-ai-research-dair) [![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Machine Learning Engineer, PhD Intern (Fall)

Instacart · United States - Remote

›](https://jobsbyculture.com/jobs/instacart/machine-learning-engineer-phd-intern-fall) [![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Member of Technical Staff (Machine Learning Engineer, Search)

Perplexity AI · Belgrade

›](https://jobsbyculture.com/jobs/perplexity/member-of-technical-staff-machine-learning-engineer-search) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Research Engineer, Human Understanding

Google DeepMind · Los Angeles, California, US; Mountain View, California, US

›](https://jobsbyculture.com/jobs/deepmind/research-engineer-human-understanding)

[View all 411 jobs →](https://jobsbyculture.com/jobs?role=ml-ai)

## ML / AI jobs by culture

[⚙️ Engineering-Driven ML / AI 353](https://jobsbyculture.com/roles/eng-driven/ml-ai) [🌱 Learning & Growth ML / AI 326](https://jobsbyculture.com/roles/learning/ml-ai) [🎯 Direct Product Impact ML / AI 262](https://jobsbyculture.com/roles/product-impact/ml-ai) [💎 Strong Comp & Equity ML / AI 250](https://jobsbyculture.com/roles/equity/ml-ai) [🚀 Ship Fast & Iterate ML / AI 212](https://jobsbyculture.com/roles/ship-fast/ml-ai) [🌈 Diverse & Inclusive ML / AI 74](https://jobsbyculture.com/roles/diverse/ml-ai) [💜 Mission-Driven ML / AI 68](https://jobsbyculture.com/roles/social-impact/ml-ai) [🤖 Ethical AI / Safety ML / AI 57](https://jobsbyculture.com/roles/ethical-ai/ml-ai)

## ML / AI jobs by seniority

[🌱 Entry / Junior ML / AI 8](https://jobsbyculture.com/seniority/entry/ml-ai) [👤 Mid-Level ML / AI 201](https://jobsbyculture.com/seniority/mid/ml-ai) [⭐ Senior ML / AI 71](https://jobsbyculture.com/seniority/senior/ml-ai) [🔷 Staff / Principal ML / AI 103](https://jobsbyculture.com/seniority/staff/ml-ai) [👥 Lead / Manager ML / AI 28](https://jobsbyculture.com/seniority/lead/ml-ai)

## Other role categories

[📊 Data 345](https://jobsbyculture.com/roles/data) [🎨 Design 229](https://jobsbyculture.com/roles/design) [💻 Engineering 4788](https://jobsbyculture.com/roles/engineering) [📋 Product 789](https://jobsbyculture.com/roles/product) [📣 Marketing 531](https://jobsbyculture.com/roles/marketing) [💼 Sales / GTM 3471](https://jobsbyculture.com/roles/sales) [💰 Finance 195](https://jobsbyculture.com/roles/finance) [👤 HR / People 270](https://jobsbyculture.com/roles/hr-people) [⚖️ Legal 228](https://jobsbyculture.com/roles/legal) [🎧 Support 58](https://jobsbyculture.com/roles/support) [⚙️ Operations 414](https://jobsbyculture.com/roles/operations)

---

## Document: Operations Jobs at AI & Tech Companies | JobsByCulture

# Operations Jobs at AI & Tech Companies | JobsByCulture

> Browse 414 operations jobs at 76 AI & tech companies. Operations roles: operations managers, logistics specialists, supply chain professionals, and procurement

Source: https://jobsbyculture.com/roles/operations
Markdown: https://jobsbyculture.com/roles/operations.md
Last updated: 2026-07-14

---
Operations

# ⚙️ _Operations_ Jobs

Operations roles: operations managers, logistics specialists, supply chain professionals, and procurement specialists keeping the business running smoothly.

414

Open Roles

76

Companies

## Companies hiring for _operations_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

Small (~200) · Glassdoor 4/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/replit)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Modal

Small (~110) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Deep Work / Low Meetings Open Source

](https://jobsbyculture.com/companies/modal)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Supabase

Small (~250) · Glassdoor 4.8/5

Open Source Remote-Friendly Engineering-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/supabase)[

![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Tailscale

Small (~290) · Glassdoor 4.4/5

Remote-Friendly Work-Life Balance Strong Comp & Equity Engineering-Driven

](https://jobsbyculture.com/companies/tailscale)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Pylon](https://www.google.com/s2/favicons?domain=usepylon.com&sz=128)

Pylon

Small (~70) · Glassdoor 3/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/pylon)[

![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

incident.io

Small (~140) · Glassdoor 4.5/5

Transparent Safe to Fail Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/incidentio)[

![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Grafana Labs

Large (~1,700) · Glassdoor 4.1/5

Remote-Friendly Open Source Engineering-Driven Transparent

](https://jobsbyculture.com/companies/grafanalabs)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Wayve

Mid (~850) · Glassdoor 4.4/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/wayve)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

GitLab

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Async-First Transparent Open Source

](https://jobsbyculture.com/companies/gitlab)[

![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Mercor

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Strong Comp & Equity

](https://jobsbyculture.com/companies/mercor)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Writer](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

Writer

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Open Source

](https://jobsbyculture.com/companies/writer)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Lambda

Mid (~500) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/lambda)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Hippocratic AI

Small (~264) · Glassdoor 3.9/5

Mission-Driven Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/hippocratic-ai)[

![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Exa

Small (~120) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/exa)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)[

![Figure AI](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

Figure AI

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/figureai)[

![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Cartesia

Small (~90) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/cartesia)[

![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Lightmatter

Mid (~300) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lightmatter)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![Cryptio](https://www.google.com/s2/favicons?domain=cryptio.co&sz=128)

Cryptio

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/cryptio)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)[

![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Goodfire

Small (~50) · Glassdoor null/5

Engineering-Driven Ethical AI / Safety Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/goodfire)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Latest Operations jobs

[![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Air Operations Associate

Flexport · Phnom Penh, Cambodia

›](https://jobsbyculture.com/jobs/flexport/air-operations-associate-xicqu) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Administrative Coordinator

Stripe · Mexico City

›](https://jobsbyculture.com/jobs/stripe/administrative-coordinator-jm3su) [![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Project Coordinator - Spark

Crusoe · Denver, CO - US

›](https://jobsbyculture.com/jobs/crusoe/project-coordinator-spark) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Facilities Operations Lead - Stargate

OpenAI · San Francisco

›](https://jobsbyculture.com/jobs/openai/facilities-operations-lead-stargate) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Technical User Operations Specialist - EMEA

Harvey · London

›](https://jobsbyculture.com/jobs/harvey/technical-user-operations-specialist-emea-mgd8c) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Business Operations and Growth Lead

Airbnb · Sydney, Australia

›](https://jobsbyculture.com/jobs/airbnb/business-operations-and-growth-lead-jtjm7) [![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

Data Center Operations Business Systems Manager

CoreWeave · Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA

›](https://jobsbyculture.com/jobs/coreweave/data-center-operations-business-systems-manager) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Contracts Manager, Research & Operations

Anthropic · San Francisco, CA | New York City, NY

›](https://jobsbyculture.com/jobs/anthropic/contracts-manager-research-operations) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

BizOps Senior Manager (Technical)

Brex · Seattle, Washington, United States

›](https://jobsbyculture.com/jobs/brex/bizops-senior-manager-technical-te422) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Head of Operations Analytics

Adyen · Amsterdam

›](https://jobsbyculture.com/jobs/adyen/head-of-operations-analytics) [![Figure AI](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

AI Data Operations Lead

Figure AI · Mexico City

›](https://jobsbyculture.com/jobs/figureai/ai-data-operations-lead) [![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Business Operations Manager, Technical Support Ops

Samsara · Remote - Toronto

›](https://jobsbyculture.com/jobs/samsara/business-operations-manager-technical-support-ops-3co68) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Client Account Lead - Strategy & Transformation (Logistics/Transportation)

Celonis · Munich, Germany

›](https://jobsbyculture.com/jobs/celonis/client-account-lead-strategy-transformation-logistics-transportation) [![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Billing Operations Analyst

Twilio · Mexico City, Mexico

›](https://jobsbyculture.com/jobs/twilio/billing-operations-analyst) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Finance Operations Specialist (Sabre expertise mandatory)

Navan · Gurugram, IN

›](https://jobsbyculture.com/jobs/navan/finance-operations-specialist-sabre-expertise-mandatory) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Candidate Experience Coordinator (6-month contract)

Databricks · Costa Rica; Heredia, Costa Rica

›](https://jobsbyculture.com/jobs/databricks/candidate-experience-coordinator-6-month-contract) [![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

AML Operations Analyst

Ramp · New York, NY (HQ)

›](https://jobsbyculture.com/jobs/ramp/aml-operations-analyst) [![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Business Operations Senior Associate, Institutional

Coinbase · Remote - USA

›](https://jobsbyculture.com/jobs/coinbase/business-operations-senior-associate-institutional) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

People Operations

Sierra · San Francisco, CA

›](https://jobsbyculture.com/jobs/sierra/people-operations) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Director, FinTech Operations & AI Transformation

Toast · Preferred: East Coast, USA

›](https://jobsbyculture.com/jobs/toast/director-fintech-operations-ai-transformation)

[View all 414 jobs →](https://jobsbyculture.com/jobs?role=operations)

## Operations jobs by culture

[⚙️ Engineering-Driven Operations 316](https://jobsbyculture.com/roles/eng-driven/operations) [🚀 Ship Fast & Iterate Operations 294](https://jobsbyculture.com/roles/ship-fast/operations) [🌱 Learning & Growth Operations 285](https://jobsbyculture.com/roles/learning/operations) [🎯 Direct Product Impact Operations 282](https://jobsbyculture.com/roles/product-impact/operations) [💎 Strong Comp & Equity Operations 277](https://jobsbyculture.com/roles/equity/operations) [🪟 Transparent Operations 70](https://jobsbyculture.com/roles/transparent/operations) [🌈 Diverse & Inclusive Operations 54](https://jobsbyculture.com/roles/diverse/operations) [💜 Mission-Driven Operations 51](https://jobsbyculture.com/roles/social-impact/operations)

## Operations jobs by seniority

[🌱 Entry / Junior Operations 29](https://jobsbyculture.com/seniority/entry/operations) [👤 Mid-Level Operations 141](https://jobsbyculture.com/seniority/mid/operations) [⭐ Senior Operations 28](https://jobsbyculture.com/seniority/senior/operations) [👥 Lead / Manager Operations 186](https://jobsbyculture.com/seniority/lead/operations) [🏛️ Director+ Operations 30](https://jobsbyculture.com/seniority/director/operations)

## Other role categories

[🧠 ML / AI 411](https://jobsbyculture.com/roles/ml-ai) [📊 Data 345](https://jobsbyculture.com/roles/data) [🎨 Design 229](https://jobsbyculture.com/roles/design) [💻 Engineering 4788](https://jobsbyculture.com/roles/engineering) [📋 Product 789](https://jobsbyculture.com/roles/product) [📣 Marketing 531](https://jobsbyculture.com/roles/marketing) [💼 Sales / GTM 3471](https://jobsbyculture.com/roles/sales) [💰 Finance 195](https://jobsbyculture.com/roles/finance) [👤 HR / People 270](https://jobsbyculture.com/roles/hr-people) [⚖️ Legal 228](https://jobsbyculture.com/roles/legal) [🎧 Support 58](https://jobsbyculture.com/roles/support)

---

## Document: Product Jobs at AI & Tech Companies | JobsByCulture

# Product Jobs at AI & Tech Companies | JobsByCulture

> Browse 789 product jobs at 87 AI & tech companies. Product management roles: product managers, product leads, and heads of product driving strategy, roadmaps, a

Source: https://jobsbyculture.com/roles/product
Markdown: https://jobsbyculture.com/roles/product.md
Last updated: 2026-07-14

---
Product

# 📋 _Product_ Jobs

Product management roles: product managers, product leads, and heads of product driving strategy, roadmaps, and cross-functional execution.

789

Open Roles

87

Companies

## Companies hiring for _product_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Large (~800) · Glassdoor 3.7/5

Ship Fast & Iterate Remote-Friendly Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/apollo)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

Small (~200) · Glassdoor 4/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/replit)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Weaviate

Small (~110) · Glassdoor 4.3/5

Remote-Friendly Async-First Flat Hierarchy Open Source

](https://jobsbyculture.com/companies/weaviate)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Linear

Small (~80) · Glassdoor 4.6/5

Deep Work / Low Meetings Remote-Friendly Async-First Engineering-Driven

](https://jobsbyculture.com/companies/linear)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Supabase

Small (~250) · Glassdoor 4.8/5

Open Source Remote-Friendly Engineering-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/supabase)[

![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Tailscale

Small (~290) · Glassdoor 4.4/5

Remote-Friendly Work-Life Balance Strong Comp & Equity Engineering-Driven

](https://jobsbyculture.com/companies/tailscale)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Pylon](https://www.google.com/s2/favicons?domain=usepylon.com&sz=128)

Pylon

Small (~70) · Glassdoor 3/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/pylon)[

![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Grafana Labs

Large (~1,700) · Glassdoor 4.1/5

Remote-Friendly Open Source Engineering-Driven Transparent

](https://jobsbyculture.com/companies/grafanalabs)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Baseten

Small (~100) · Glassdoor 4.3/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/baseten)[

![Fireworks AI](https://www.google.com/s2/favicons?domain=fireworks.ai&sz=128)

Fireworks AI

Small (~100) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Learning & Growth

](https://jobsbyculture.com/companies/fireworksai)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Wayve

Mid (~850) · Glassdoor 4.4/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/wayve)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Contentful

Large (~1,000) · Glassdoor 3.4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/contentful)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Mid (~300) · Glassdoor 4.5/5

Remote-Friendly Open Source Flat Hierarchy Transparent

](https://jobsbyculture.com/companies/n8n)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Descript](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

Descript

Medium (~250) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/descript)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

GitLab

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Async-First Transparent Open Source

](https://jobsbyculture.com/companies/gitlab)[

![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Mercor

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Strong Comp & Equity

](https://jobsbyculture.com/companies/mercor)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Webflow

Mid (~800) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Remote-Friendly Work-Life Balance

](https://jobsbyculture.com/companies/webflow)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Writer](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

Writer

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Open Source

](https://jobsbyculture.com/companies/writer)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Abridge

Mid (~500) · Glassdoor 4.7/5

Mission-Driven Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/abridge)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Lambda

Mid (~500) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/lambda)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Ironclad

Mid (~800) · Glassdoor 4.4/5

Work-Life Balance Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/ironclad)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)[

![Twelve Labs](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

Twelve Labs

Small (~100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Direct Product Impact

](https://jobsbyculture.com/companies/twelve-labs)[

![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Cartesia

Small (~90) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/cartesia)[

![Character AI](https://www.google.com/s2/favicons?domain=character.ai&sz=128)

Character AI

Mid (~250) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/character)[

![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Lightmatter

Mid (~300) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lightmatter)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Benchling](https://www.google.com/s2/favicons?domain=benchling.com&sz=128)

Benchling

Mid (~800) · Glassdoor 3.5/5

Engineering-Driven Mission-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/benchling)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![WorkOS](https://www.google.com/s2/favicons?domain=workos.com&sz=128)

WorkOS

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/workos)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)[

![Dropbox](https://www.google.com/s2/favicons?domain=dropbox.com&sz=128)

Dropbox

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/dropbox)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)[

![Kindred](https://www.google.com/s2/favicons?domain=livekindred.com&sz=128)

Kindred

Small (~50) · Glassdoor null/5

Direct Product Impact Ship Fast & Iterate Engineering-Driven Wears Many Hats

](https://jobsbyculture.com/companies/kindred)

## Latest Product jobs

[![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Commercial Solutions Program Manager

Stripe · Chicago, IL , Remote

›](https://jobsbyculture.com/jobs/stripe/commercial-solutions-program-manager) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Technical Program Manager, Compute Infrastructure

OpenAI · San Francisco

›](https://jobsbyculture.com/jobs/openai/technical-program-manager-compute-infrastructure) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Field Technical Program Manager

Databricks · Munich, Germany

›](https://jobsbyculture.com/jobs/databricks/field-technical-program-manager-32hn5) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Community & Executive Escalations Program Manager

Anthropic · San Francisco, CA | New York City, NY

›](https://jobsbyculture.com/jobs/anthropic/community-executive-escalations-program-manager) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Director, Product Management - AI Observability

Datadog · New York, New York, USA

›](https://jobsbyculture.com/jobs/datadog/director-product-management-ai-observability) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Staff Product Manager, New Verticals

Harvey · New York

›](https://jobsbyculture.com/jobs/harvey/staff-product-manager-new-verticals) [![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

\[Annotations\] Operations Program Manager

Scale AI · Mexico City, MX

›](https://jobsbyculture.com/jobs/scale/annotations-operations-program-manager) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Director of Product Management, AI Builder Experience

MongoDB · Dublin

›](https://jobsbyculture.com/jobs/mongodb/director-of-product-management-ai-builder-experience) [![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

Data Center Construction Security Program Manager

CoreWeave · Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA

›](https://jobsbyculture.com/jobs/coreweave/data-center-construction-security-program-manager) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Principal Product Manager - Zero-Copy Integrations

Snowflake · US-WA-Bellevue

›](https://jobsbyculture.com/jobs/snowflake/principal-product-manager-zero-copy-integrations) [![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Manager, Operations Program Management

Samsara · Remote - US

›](https://jobsbyculture.com/jobs/samsara/manager-operations-program-management) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Director, Product Management - Cloud Infrastructure

Okta · San Francisco, California

›](https://jobsbyculture.com/jobs/okta/director-product-management-cloud-infrastructure) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Director Product Management, Banking + AP

Brex · New York, New York, United States

›](https://jobsbyculture.com/jobs/brex/director-product-management-banking-ap-y90fe) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Product Manager, Agent Development

Sierra · San Francisco, CA

›](https://jobsbyculture.com/jobs/sierra/product-manager-agent-development-tjgdy) [![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Product Management Intern, Admin Console (Summer 2026)

Glean · Mountain View, CA

›](https://jobsbyculture.com/jobs/glean/product-management-intern-admin-console-summer-2026) [![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Senior Product Manager - Account Verification

Plaid · San Francisco HQ

›](https://jobsbyculture.com/jobs/plaid/senior-product-manager-account-verification) [![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Federal Civilian Program Manager

Elastic · United States

›](https://jobsbyculture.com/jobs/elastic/federal-civilian-program-manager) [![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Bilingual Staff Technical Program Manager, Global Enterprise Fulfillment Platform

Instacart · United States - Remote

›](https://jobsbyculture.com/jobs/instacart/bilingual-staff-technical-program-manager-global-enterprise-fulfillment-platform) [![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Group Product Manager, Compliance Agent Experience

Coinbase · Remote - USA

›](https://jobsbyculture.com/jobs/coinbase/group-product-manager-compliance-agent-experience) [![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Senior Product Manager, Infrastructure Observability | Canada | Remote

Grafana Labs · Canada (Remote)

›](https://jobsbyculture.com/jobs/grafanalabs/senior-product-manager-infrastructure-observability-canada-remote)

[View all 789 jobs →](https://jobsbyculture.com/jobs?role=product)

## Product jobs by culture

[⚙️ Engineering-Driven Product 645](https://jobsbyculture.com/roles/eng-driven/product) [🌱 Learning & Growth Product 637](https://jobsbyculture.com/roles/learning/product) [🎯 Direct Product Impact Product 570](https://jobsbyculture.com/roles/product-impact/product) [💎 Strong Comp & Equity Product 530](https://jobsbyculture.com/roles/equity/product) [🚀 Ship Fast & Iterate Product 435](https://jobsbyculture.com/roles/ship-fast/product) [🪟 Transparent Product 164](https://jobsbyculture.com/roles/transparent/product) [🌈 Diverse & Inclusive Product 137](https://jobsbyculture.com/roles/diverse/product) [🔓 Open Source Product 90](https://jobsbyculture.com/roles/open-source/product)

## Product jobs by seniority

[👤 Mid-Level Product 18](https://jobsbyculture.com/seniority/mid/product) [🔷 Staff / Principal Product 9](https://jobsbyculture.com/seniority/staff/product) [👥 Lead / Manager Product 727](https://jobsbyculture.com/seniority/lead/product) [🏛️ Director+ Product 31](https://jobsbyculture.com/seniority/director/product)

## Other role categories

[🧠 ML / AI 411](https://jobsbyculture.com/roles/ml-ai) [📊 Data 345](https://jobsbyculture.com/roles/data) [🎨 Design 229](https://jobsbyculture.com/roles/design) [💻 Engineering 4788](https://jobsbyculture.com/roles/engineering) [📣 Marketing 531](https://jobsbyculture.com/roles/marketing) [💼 Sales / GTM 3471](https://jobsbyculture.com/roles/sales) [💰 Finance 195](https://jobsbyculture.com/roles/finance) [👤 HR / People 270](https://jobsbyculture.com/roles/hr-people) [⚖️ Legal 228](https://jobsbyculture.com/roles/legal) [🎧 Support 58](https://jobsbyculture.com/roles/support) [⚙️ Operations 414](https://jobsbyculture.com/roles/operations)

---

## Document: Sales / GTM Jobs at AI & Tech Companies | JobsByCulture

# Sales / GTM Jobs at AI & Tech Companies | JobsByCulture

> Browse 3471 sales / gtm jobs at 99 AI & tech companies. Sales and go-to-market roles: account executives, business development representatives, solutions engine

Source: https://jobsbyculture.com/roles/sales
Markdown: https://jobsbyculture.com/roles/sales.md
Last updated: 2026-07-14

---
Sales / GTM

# 💼 _Sales / GTM_ Jobs

Sales and go-to-market roles: account executives, business development representatives, solutions engineers, and revenue leaders driving growth.

3471

Open Roles

99

Companies

## Companies hiring for _sales / gtm_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Large (~800) · Glassdoor 3.7/5

Ship Fast & Iterate Remote-Friendly Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/apollo)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

Small (~200) · Glassdoor 4/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/replit)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Modal

Small (~110) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Deep Work / Low Meetings Open Source

](https://jobsbyculture.com/companies/modal)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Linear

Small (~80) · Glassdoor 4.6/5

Deep Work / Low Meetings Remote-Friendly Async-First Engineering-Driven

](https://jobsbyculture.com/companies/linear)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

PostHog

Small (~170) · Glassdoor 4.3/5

Open Source Transparent Async-First Remote-Friendly

](https://jobsbyculture.com/companies/posthog)[

![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Supabase

Small (~250) · Glassdoor 4.8/5

Open Source Remote-Friendly Engineering-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/supabase)[

![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Tailscale

Small (~290) · Glassdoor 4.4/5

Remote-Friendly Work-Life Balance Strong Comp & Equity Engineering-Driven

](https://jobsbyculture.com/companies/tailscale)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Pylon](https://www.google.com/s2/favicons?domain=usepylon.com&sz=128)

Pylon

Small (~70) · Glassdoor 3/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/pylon)[

![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

incident.io

Small (~140) · Glassdoor 4.5/5

Transparent Safe to Fail Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/incidentio)[

![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Grafana Labs

Large (~1,700) · Glassdoor 4.1/5

Remote-Friendly Open Source Engineering-Driven Transparent

](https://jobsbyculture.com/companies/grafanalabs)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Baseten

Small (~100) · Glassdoor 4.3/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/baseten)[

![Fireworks AI](https://www.google.com/s2/favicons?domain=fireworks.ai&sz=128)

Fireworks AI

Small (~100) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Learning & Growth

](https://jobsbyculture.com/companies/fireworksai)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Wayve

Mid (~850) · Glassdoor 4.4/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/wayve)[

![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

DeepL

Large (~1,570) · Glassdoor 2.9/5

Work-Life Balance Flexible Hours Diverse & Inclusive Direct Product Impact

](https://jobsbyculture.com/companies/deepl)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Contentful

Large (~1,000) · Glassdoor 3.4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/contentful)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Mid (~300) · Glassdoor 4.5/5

Remote-Friendly Open Source Flat Hierarchy Transparent

](https://jobsbyculture.com/companies/n8n)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Descript](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

Descript

Medium (~250) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/descript)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![Granola](https://www.google.com/s2/favicons?domain=granola.ai&sz=128)

Granola

Small (~50) · Glassdoor 5/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/granola)[

![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

Chainguard

Mid (~350) · Glassdoor 4.5/5

Remote-Friendly Open Source Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/chainguard)[

![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

GitLab

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Async-First Transparent Open Source

](https://jobsbyculture.com/companies/gitlab)[

![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Mercor

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Strong Comp & Equity

](https://jobsbyculture.com/companies/mercor)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Webflow

Mid (~800) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Remote-Friendly Work-Life Balance

](https://jobsbyculture.com/companies/webflow)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Writer](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

Writer

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Open Source

](https://jobsbyculture.com/companies/writer)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Abridge

Mid (~500) · Glassdoor 4.7/5

Mission-Driven Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/abridge)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Lambda

Mid (~500) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/lambda)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Ironclad

Mid (~800) · Glassdoor 4.4/5

Work-Life Balance Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/ironclad)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Hippocratic AI

Small (~264) · Glassdoor 3.9/5

Mission-Driven Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/hippocratic-ai)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Exa

Small (~120) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/exa)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)[

![Figure AI](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

Figure AI

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/figureai)[

![Twelve Labs](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

Twelve Labs

Small (~100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Direct Product Impact

](https://jobsbyculture.com/companies/twelve-labs)[

![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Cartesia

Small (~90) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/cartesia)[

![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Lightmatter

Mid (~300) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lightmatter)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Benchling](https://www.google.com/s2/favicons?domain=benchling.com&sz=128)

Benchling

Mid (~800) · Glassdoor 3.5/5

Engineering-Driven Mission-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/benchling)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

LaunchDarkly

Mid (~590) · Glassdoor 3.8/5

Engineering-Driven Work-Life Balance Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/launchdarkly)[

![WorkOS](https://www.google.com/s2/favicons?domain=workos.com&sz=128)

WorkOS

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/workos)[

![Cryptio](https://www.google.com/s2/favicons?domain=cryptio.co&sz=128)

Cryptio

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/cryptio)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)[

![Dropbox](https://www.google.com/s2/favicons?domain=dropbox.com&sz=128)

Dropbox

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/dropbox)[

![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Goodfire

Small (~50) · Glassdoor null/5

Engineering-Driven Ethical AI / Safety Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/goodfire)[

![DevRev](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

DevRev

Mid (~800) · Glassdoor 4.1/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/devrev)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Latest Sales / GTM jobs

[![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Account Executive

Databricks · Bengaluru, India; Mumbai, India

›](https://jobsbyculture.com/jobs/databricks/account-executive) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Area Vice President, Sales Engineering

Datadog · Boston, Massachusetts, USA; New York, New York, USA; San Francisco, California, USA

›](https://jobsbyculture.com/jobs/datadog/area-vice-president-sales-engineering) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Bilingual Growth Account Executive - Mandarin

Toast · Seattle, WA

›](https://jobsbyculture.com/jobs/toast/bilingual-growth-account-executive-mandarin-iu9s3) [![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Account Executive, Commercial

Samsara · Boston, MA

›](https://jobsbyculture.com/jobs/samsara/account-executive-commercial-x9g4b) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Account Executive, Acquisition

MongoDB · Hong Kong

›](https://jobsbyculture.com/jobs/mongodb/account-executive-acquisition) [![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Account Executive, SLED (Austin)

Cloudflare · Distributed

›](https://jobsbyculture.com/jobs/cloudflare/account-executive-sled-austin) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive- Corporate/Enterprise

HubSpot · Office - Bengaluru, India

›](https://jobsbyculture.com/jobs/hubspot/account-executive-corporate-enterprise) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, AI Sales (Grower)

Stripe · San Francisco, CA

›](https://jobsbyculture.com/jobs/stripe/account-executive-ai-sales-grower) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Account Executive, Latin America

Snowflake · BR-Sao Paulo-WW

›](https://jobsbyculture.com/jobs/snowflake/account-executive-latin-america-rlear) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Account Executive, Auth0

Okta · Tokyo, Japan

›](https://jobsbyculture.com/jobs/okta/account-executive-auth0) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Account Executive DACH

Navan · Berlin, Germany

›](https://jobsbyculture.com/jobs/navan/account-executive-dach) [![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

Account Executive- Spain - Enterprise

ElevenLabs · Spain

›](https://jobsbyculture.com/jobs/elevenlabs/account-executive-spain-enterprise) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Account Executive - ASEAN

Anthropic · Sydney, Australia

›](https://jobsbyculture.com/jobs/anthropic/account-executive-asean) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Enterprise Account Executive

Harvey · Stockholm

›](https://jobsbyculture.com/jobs/harvey/enterprise-account-executive-bogti) [![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Account Executive - Berlin (x/f/m)

Doctolib · Berlin, Berlin, Germany

›](https://jobsbyculture.com/jobs/doctolib/account-executive-berlin-x-f-m) [![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

Account Executive - Italy

GitLab · Remote, Italy

›](https://jobsbyculture.com/jobs/gitlab/account-executive-italy) [![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Account Executive (Czech Republic)

Elastic · Poland

›](https://jobsbyculture.com/jobs/elastic/account-executive-czech-republic) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Solutions Engineer, Pre-Sales

OpenAI · San Francisco

›](https://jobsbyculture.com/jobs/openai/solutions-engineer-pre-sales-aazx2) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Account Executive, Mid Market

Brex · Seattle, Washington, United States

›](https://jobsbyculture.com/jobs/brex/account-executive-mid-market-oowyb) [![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Outbound Business Development Representative, AMER

Notion · New York, New York

›](https://jobsbyculture.com/jobs/notion/outbound-business-development-representative-amer-nvdev)

[View all 3471 jobs →](https://jobsbyculture.com/jobs?role=sales)

## Sales / GTM jobs by culture

[🌱 Learning & Growth Sales / GTM 2906](https://jobsbyculture.com/roles/learning/sales) [🎯 Direct Product Impact Sales / GTM 2717](https://jobsbyculture.com/roles/product-impact/sales) [⚙️ Engineering-Driven Sales / GTM 2566](https://jobsbyculture.com/roles/eng-driven/sales) [💎 Strong Comp & Equity Sales / GTM 2155](https://jobsbyculture.com/roles/equity/sales) [🚀 Ship Fast & Iterate Sales / GTM 1832](https://jobsbyculture.com/roles/ship-fast/sales) [🌈 Diverse & Inclusive Sales / GTM 887](https://jobsbyculture.com/roles/diverse/sales) [🪟 Transparent Sales / GTM 751](https://jobsbyculture.com/roles/transparent/sales) [🔓 Open Source Sales / GTM 481](https://jobsbyculture.com/roles/open-source/sales)

## Sales / GTM jobs by seniority

[🌱 Entry / Junior Sales / GTM 43](https://jobsbyculture.com/seniority/entry/sales) [👤 Mid-Level Sales / GTM 1986](https://jobsbyculture.com/seniority/mid/sales) [⭐ Senior Sales / GTM 381](https://jobsbyculture.com/seniority/senior/sales) [🔷 Staff / Principal Sales / GTM 28](https://jobsbyculture.com/seniority/staff/sales) [👥 Lead / Manager Sales / GTM 852](https://jobsbyculture.com/seniority/lead/sales) [🏛️ Director+ Sales / GTM 181](https://jobsbyculture.com/seniority/director/sales)

## Other role categories

[🧠 ML / AI 411](https://jobsbyculture.com/roles/ml-ai) [📊 Data 345](https://jobsbyculture.com/roles/data) [🎨 Design 229](https://jobsbyculture.com/roles/design) [💻 Engineering 4788](https://jobsbyculture.com/roles/engineering) [📋 Product 789](https://jobsbyculture.com/roles/product) [📣 Marketing 531](https://jobsbyculture.com/roles/marketing) [💰 Finance 195](https://jobsbyculture.com/roles/finance) [👤 HR / People 270](https://jobsbyculture.com/roles/hr-people) [⚖️ Legal 228](https://jobsbyculture.com/roles/legal) [🎧 Support 58](https://jobsbyculture.com/roles/support) [⚙️ Operations 414](https://jobsbyculture.com/roles/operations)

---

## Document: Support Jobs at AI & Tech Companies | JobsByCulture

# Support Jobs at AI & Tech Companies | JobsByCulture

> Browse 58 support jobs at 28 AI & tech companies. Support roles: customer success managers, support engineers, helpdesk specialists, and customer experience pro

Source: https://jobsbyculture.com/roles/support
Markdown: https://jobsbyculture.com/roles/support.md
Last updated: 2026-07-14

---
Support

# 🎧 _Support_ Jobs

Support roles: customer success managers, support engineers, helpdesk specialists, and customer experience professionals ensuring user satisfaction.

58

Open Roles

28

Companies

## Companies hiring for _support_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Large (~800) · Glassdoor 3.7/5

Ship Fast & Iterate Remote-Friendly Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/apollo)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

Small (~200) · Glassdoor 4/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/replit)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Linear

Small (~80) · Glassdoor 4.6/5

Deep Work / Low Meetings Remote-Friendly Async-First Engineering-Driven

](https://jobsbyculture.com/companies/linear)[

![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Tailscale

Small (~290) · Glassdoor 4.4/5

Remote-Friendly Work-Life Balance Strong Comp & Equity Engineering-Driven

](https://jobsbyculture.com/companies/tailscale)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

Chainguard

Mid (~350) · Glassdoor 4.5/5

Remote-Friendly Open Source Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/chainguard)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)

## Latest Support jobs

[![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Customer Support Specialist

Airbnb · Gurugram, India

›](https://jobsbyculture.com/jobs/airbnb/customer-support-specialist) [![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Customer Support Engineer (GPU Cluster)

Together AI · San Francisco

›](https://jobsbyculture.com/jobs/together/customer-support-engineer-gpu-cluster) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Product Support Specialist

Anthropic · New York City, NY; San Francisco, CA; Seattle, WA

›](https://jobsbyculture.com/jobs/anthropic/product-support-specialist) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Product Support Specialist

Stripe · Singapore

›](https://jobsbyculture.com/jobs/stripe/product-support-specialist-eeufb) [![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

Technical Customer Support Team Lead

ElevenLabs · Remote

›](https://jobsbyculture.com/jobs/elevenlabs/technical-customer-support-team-lead) [![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Product Support Specialist, Pacific/Mountain Time

Linear · North America

›](https://jobsbyculture.com/jobs/linear/product-support-specialist-pacific-mountain-time) [![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Customer Support Engineer

Tailscale · Remote (United Kingdom)

›](https://jobsbyculture.com/jobs/tailscale/customer-support-engineer-yzmit) [![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Manager, Customer Support

Intercom · Chicago, Illinois

›](https://jobsbyculture.com/jobs/intercom/manager-customer-support) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

German Customer Support Specialist

HubSpot · Remote - Ireland

›](https://jobsbyculture.com/jobs/hubspot/german-customer-support-specialist-symmo) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

IT Support Specialist

OpenAI · Seattle

›](https://jobsbyculture.com/jobs/openai/it-support-specialist) [![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Customer Support Specialist - EMEA

Mercury · Dublin, Ireland

›](https://jobsbyculture.com/jobs/mercury/customer-support-specialist-emea) [![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Product Support Specialist

Asana · Sydney

›](https://jobsbyculture.com/jobs/asana/product-support-specialist-cpm99) [![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Enterprise Customer Support Specialist

Perplexity AI · San Francisco

›](https://jobsbyculture.com/jobs/perplexity/enterprise-customer-support-specialist) [![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Support Specialist

Scale AI · Mexico City, MX

›](https://jobsbyculture.com/jobs/scale/support-specialist) [![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Customer Support Manager

Apollo.io · Office, Philippines

›](https://jobsbyculture.com/jobs/apollo/customer-support-manager) [![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Customer Support - Billing

Notion · Hyderabad, India

›](https://jobsbyculture.com/jobs/notion/customer-support-billing) [![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Tier 2 Help Desk Technician

Replit · Foster City, CA

›](https://jobsbyculture.com/jobs/replit/tier-2-help-desk-technician) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Enterprise Support Specialist, Korean Speaking (Singapore)

Figma · Singapore

›](https://jobsbyculture.com/jobs/figma/enterprise-support-specialist-korean-speaking-singapore) [![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Senior Manager of Customer Support

Suno · Boston

›](https://jobsbyculture.com/jobs/suno/senior-manager-of-customer-support) [![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Senior Manager, Customer Support

Crusoe · San Francisco, CA - US

›](https://jobsbyculture.com/jobs/crusoe/senior-manager-customer-support)

[View all 58 jobs →](https://jobsbyculture.com/jobs?role=support)

## Support jobs by culture

[⚙️ Engineering-Driven Support 39](https://jobsbyculture.com/roles/eng-driven/support) [🌱 Learning & Growth Support 36](https://jobsbyculture.com/roles/learning/support) [💎 Strong Comp & Equity Support 34](https://jobsbyculture.com/roles/equity/support) [🎯 Direct Product Impact Support 32](https://jobsbyculture.com/roles/product-impact/support) [⚖️ Work-Life Balance Support 23](https://jobsbyculture.com/roles/wlb/support) [🌐 Remote-Friendly Support 23](https://jobsbyculture.com/roles/remote/support) [🚀 Ship Fast & Iterate Support 22](https://jobsbyculture.com/roles/ship-fast/support) [🌈 Diverse & Inclusive Support 22](https://jobsbyculture.com/roles/diverse/support)

## Support jobs by seniority

[👤 Mid-Level Support 45](https://jobsbyculture.com/seniority/mid/support) [👥 Lead / Manager Support 10](https://jobsbyculture.com/seniority/lead/support)

## Other role categories

[🧠 ML / AI 411](https://jobsbyculture.com/roles/ml-ai) [📊 Data 345](https://jobsbyculture.com/roles/data) [🎨 Design 229](https://jobsbyculture.com/roles/design) [💻 Engineering 4788](https://jobsbyculture.com/roles/engineering) [📋 Product 789](https://jobsbyculture.com/roles/product) [📣 Marketing 531](https://jobsbyculture.com/roles/marketing) [💼 Sales / GTM 3471](https://jobsbyculture.com/roles/sales) [💰 Finance 195](https://jobsbyculture.com/roles/finance) [👤 HR / People 270](https://jobsbyculture.com/roles/hr-people) [⚖️ Legal 228](https://jobsbyculture.com/roles/legal) [⚙️ Operations 414](https://jobsbyculture.com/roles/operations)

---

## Document: Premium Swag Kits for Tech Teams | JobsByCulture

# Premium Swag Kits for Tech Teams | JobsByCulture

> Custom branded merchandise for onboarding, offsites, milestones, and everything in between. Designed for companies that care about culture. Minimum 25 kits.

Source: https://jobsbyculture.com/swag
Markdown: https://jobsbyculture.com/swag.md
Last updated: 2026-07-14

---
Swag Kits

# Premium Swag Kits for _Tech Teams_

Custom branded merchandise for onboarding, offsites, milestones, and everything in between. Designed for companies that care about culture.

[Get a Custom Quote →](#get-quote)

Minimum order: 25 kits • Worldwide shipping • No setup fees

What’s Inside

## Every kit, _thoughtfully curated_

Premium items your team will actually use. Every piece is customizable with your brand, colors, and message.

![Premium branded t-shirts](https://jobsbyculture.com/images/swag/tshirt.png)

### Premium T-Shirt

Tri-blend fabric, your logo, tagline or team name. Soft enough to sleep in, sharp enough for a demo day.

![Matte ceramic mug](https://jobsbyculture.com/images/swag/mug.png)

### Ceramic Mug

16oz, matte finish, dishwasher safe. The kind of mug that becomes someone’s favorite without trying.

![Hardcover notebook with pen](https://jobsbyculture.com/images/swag/notebook.png)

### Hardcover Notebook

A5 format, 200 pages, embossed logo. For the whiteboard sessions that deserve to be remembered.

![Canvas tote bag](https://jobsbyculture.com/images/swag/totebag.png)

### Canvas Tote Bag

Heavyweight canvas, screen printed. Holds laptops, lunch, and a quiet statement about where you work.

![Luxury pen set in gift box](https://jobsbyculture.com/images/swag/penset.png)

### Metal Pen Set

Ballpoint and highlighter, laser engraved. The pen people borrow and never give back.

![Structured baseball caps](https://jobsbyculture.com/images/swag/cap.png)

### Cap or Beanie

Structured cap or knit beanie, embroidered logo. For all-hands, offsites, and everything after hours.

Kit Categories

## A kit for every _occasion_

Choose a preset or build your own. Every kit is fully customizable to your brand, budget, and team.

![Onboarding gift box with confetti](https://jobsbyculture.com/images/swag/occasion-onboarding.png) Onboarding

### Onboarding Kit

Make day one unforgettable. Welcome new hires with branded gear that says “you belong here.”

![Trophy with confetti celebration](https://jobsbyculture.com/images/swag/occasion-anniversary.png) Anniversary

### Work Anniversary Kit

Celebrate loyalty. Custom kits for 1-year, 3-year, and 5-year milestones that mean something.

![Team offsite adventure gear](https://jobsbyculture.com/images/swag/occasion-offsite.png) Offsite

### Team Offsite Kit

Unite your distributed team. Matching gear for retreats, hackathons, and company offsites.

![Festive holiday gift boxes](https://jobsbyculture.com/images/swag/occasion-holiday.png) Holiday

### Holiday & Festive Kit

End the year right. Seasonal gifts your team will actually use — not another branded stress ball.

![Medal and stars celebration](https://jobsbyculture.com/images/swag/occasion-promotion.png) Milestone

### Promotion & Milestone Kit

Recognize achievement. Premium kits for promotions, product launches, and big wins.

![Branded items flying out of shipping box](https://jobsbyculture.com/images/swag/occasion-remote.png) Remote

### Remote Welcome Kit

Ship culture to their doorstep. Branded kits for remote and hybrid teams, delivered worldwide.

Why Us

## Swag that reflects your _culture_

### Culture-First Design

We don’t do generic. Every kit is designed around your company’s values and brand identity. Your swag should feel as intentional as your culture.

### Any Quantity, Anywhere

Order 25 or 2,500. Bulk shipment to one office or individual deliveries to 500 home addresses worldwide. We handle the logistics.

### All-in-One Service

Design, sourcing, packing, and shipping — all handled. You approve the mockup. We do the rest. Zero overhead for your People team.

How It Works

## Three steps to _great swag_

1

### Tell us about your team

Fill out the form below. Share your brand colors, logo, team size, and occasion. Takes two minutes.

2

### We design your kit

Our team creates a custom mockup within 48 hours. Revisions are free until you love it.

3

### Ship and delight

We pack and ship to one location or 500 individual addresses. You look like a hero.

Trusted By

## Teams that ship _great swag_

**People Ops Lead** at a Series B AI startup — ordered 50 onboarding kits for new hires across 3 countries

**Head of Culture** at a unicorn fintech — ordered 30 anniversary kits for their annual milestone celebration

**VP Engineering** at a remote-first SaaS company — ordered 75 offsite kits for their first in-person retreat

**HR Director** at a Series C health tech — ordered 100 holiday kits shipped to individual addresses worldwide

**CTO** at a developer tools startup — ordered 25 promotion kits to celebrate a wave of internal promotions

**Office Manager** at a public cloud company — ordered 200 remote welcome kits for distributed new hires

Get Started

## Get your _custom quote_

Tell us about your team and we’ll send a tailored proposal within 48 hours.

✓

### Quote request received

We’ll be in touch within 48 hours with a custom proposal.

No spam, ever. We’ll only reach out about your quote.

FAQ

## Common _questions_

25 kits. This keeps per-unit costs reasonable and ensures we can deliver the quality you expect. No maximum — we’ve handled orders of 2,000+.

2–3 weeks from mockup approval to delivery. You’ll receive your custom mockup within 48 hours of submitting the form. Revisions are unlimited and free.

Yes. We ship to one office or hundreds of individual addresses worldwide. Just share a CSV of addresses and we handle the rest — including customs for international shipments.

Fully customizable. Choose from our standard items or request something specific. We can source specialty items, food and drink, tech accessories — whatever fits your brand.

Yes. We offer organic cotton apparel, recycled materials, bamboo accessories, and plastic-free packaging. Just let us know in the form and we’ll build a sustainable kit.

Rush orders are available for a 2x expedite fee. We can deliver within 7–10 business days depending on complexity and destination. Mention it in the form and we’ll prioritize your request.

Pricing depends on kit contents, quantity, and shipping destinations. Most kits range from $60–$150 per unit. There are no setup fees, no design fees, and no hidden charges. We’ll send a detailed quote within 48 hours.

---

## Document: Free Notice Period Calculator — Find Your Last Day | JobsByCulture

# Free Notice Period Calculator — Find Your Last Day | JobsByCulture

> Free notice period calculator for 20 countries. Enter your resignation date and notice period. Get your exact last day of work, accounting for weekends and public holidays. US, UK, India, Germany, Japan, Singapore, and more.

Source: https://jobsbyculture.com/tools/notice-period-calculator
Markdown: https://jobsbyculture.com/tools/notice-period-calculator.md
Last updated: 2026-07-14

---
Free Tool · No Signup

# Free Notice Period _Calculator_

Resigning soon? Calculate your exact last day of work based on your notice period. Accounts for weekends, holidays, and your country's typical practices.

✓ 8 countries ✓ Public holidays ✓ Working days mode ✓ Free forever

Resignation date

Notice period length 1 week 2 weeks 4 weeks 1 month 6 weeks 2 months 3 months Custom…

Custom notice

 Calendar days Working days

Count mode



Country 🇺🇸 United States 🇬🇧 United Kingdom 🇮🇪 Ireland 🇨🇦 Canada 🇦🇺 Australia 🇩🇪 Germany 🇫🇷 France 🇮🇳 India 🇯🇵 Japan 🇸🇬 Singapore 🇳🇱 Netherlands 🇪🇸 Spain 🇧🇷 Brazil 🇰🇷 South Korea 🇸🇪 Sweden 🇳🇿 New Zealand 🇦🇪 UAE 🇮🇱 Israel 🇲🇽 Mexico 🇵🇱 Poland

Exclude public holidays?



← Fill in your details and click calculate to see your last day of work

## What is a notice period?

A notice period is the formal gap between the moment you tell your employer you're leaving and your actual final day of work. It exists to protect both sides: the employer gets time to redistribute your workload, plan a handover, and start recruiting a replacement. You get a predictable exit, a clean reference, and (usually) pay until the end date. Notice periods are either spelled out in your employment contract or follow local custom and statutory minimums.

Getting the end date right matters. Tell your employer "two weeks from today" without checking a calendar and you might land on a weekend, a holiday, or — worse — miss a stock vest or bonus cliff by a single day. This calculator does the date math for you, factoring in weekends, public holidays in eight countries, and whether you're counting calendar days or working days.

## Standard notice periods by country

There's no universal standard. What's normal in Silicon Valley would be considered rude in Berlin, and what's standard in London would be excessive in New York. Here's a quick reference for the eight countries the calculator supports:

Country

Standard notice

Notes

🇺🇸 United States

2 weeks

At-will employment. 2 weeks is customary, not legally required. Executives often have contracts with 30–90 day notice.

🇬🇧 United Kingdom

1 week – 3 months

Statutory minimum is 1 week per year of service (capped at 12 weeks). Most contracts specify 1–3 months.

🇮🇪 Ireland

1 week – 8 weeks

Minimum Notice and Terms of Employment Act 1973 sets statutory minimums. Most contracts specify 1 month.

🇨🇦 Canada

2 weeks

2 weeks is customary. Statutory minimum varies by province. Quebec has longer default notice.

🇦🇺 Australia

1 – 4 weeks

Fair Work Act sets minimums based on years of service. Most contracts specify 4 weeks for white-collar roles.

🇩🇪 Germany

4 weeks – 7 months

Statutory minimum is 4 weeks to 15th or end of month. Scales dramatically with years of service — up to 7 months for 20+ years.

🇫🇷 France

1 – 3 months

Depends on seniority and collective agreement (convention collective). Cadres (managers/professionals) typically have 3 months.

🇮🇳 India

1 – 3 months

30–90 days is standard for most IT/tech roles. Buyout options are common at senior levels.

🇯🇵 Japan

1 month

Labor Standards Act requires 30 days notice from the employer, but employees typically give 1–2 months out of custom, even though law only requires 2 weeks.

🇸🇬 Singapore

1 – 3 months

Employment Act sets a statutory minimum tied to years of service; most professional contracts specify 1–3 months, with senior roles requiring 3.

🇳🇱 Netherlands

1 – 4 months

Dutch Civil Code ties the statutory minimum to years of service (1–4 months), and collective agreements (CAOs) may specify longer periods for certain sectors.

🇪🇸 Spain

15 days – 3 months

Workers' Statute requires 15 days minimum for most employees; collective agreements and seniority can extend this to 1–3 months for senior roles.

🇧🇷 Brazil

30 – 90 days

Consolidation of Labor Laws (CLT) mandates at least 30 days, extended by 3 days per year of service up to a maximum of 90 days.

🇰🇷 South Korea

1 month

Labor Standards Act requires 30 days advance notice from the employer side; employees conventionally give 1 month, though no statutory minimum applies to resignations.

🇸🇪 Sweden

1 – 6 months

Employment Protection Act (LAS) sets minimums of 1–6 months based on seniority; collective agreements are prevalent and often mirror or extend these minimums.

🇳🇿 New Zealand

1 – 4 weeks

Employment Relations Act requires "reasonable notice"; most employment agreements specify 2–4 weeks, with senior roles commonly requiring 4 weeks or more.

🇦🇪 UAE

30 – 90 days

UAE Labour Law (Federal Decree-Law No. 33 of 2021) mandates a minimum 30-day notice, which can extend to 90 days depending on the employment contract.

🇮🇱 Israel

1 day – 1 month

Notice Pay Law ties statutory minimum to length of service, ranging from 1 day (first month) up to 1 month (after 1 year); tech roles commonly have 30–90 day contractual notice.

🇲🇽 Mexico

None required (employee)

Federal Labor Law does not require employees to give advance notice, but giving 2–4 weeks is customary; employees who resign immediately forfeit severance rights in some cases.

🇵🇱 Poland

2 weeks – 3 months

Labor Code sets notice based on length of service: 2 weeks (under 6 months), 1 month (6 months–3 years), 3 months (3+ years); parties may not agree on shorter periods.

## Notice periods by seniority level

Within any given country, notice periods generally scale with seniority. The more senior you are, the longer the company needs to replace you and the more sensitive information you have access to.

-   **Entry-level / junior:** The statutory minimum or 2 weeks — whichever is higher. Rarely negotiated.
-   **Mid-level IC:** 2–4 weeks in the US, 1 month in the UK/EU, 1 month in India.
-   **Senior IC / staff:** 2–4 weeks in the US, 1–3 months in the UK/EU, 2–3 months in India.
-   **Manager / director:** 3–4 weeks in the US, 3 months in the UK/EU, 3 months in India.
-   **VP / executive:** 30–90 days in the US, 3–6 months in the UK/EU, often with garden leave and non-compete clauses.
-   **C-suite:** 6–12 months with significant payout-in-lieu clauses, plus garden leave.

## What happens if you don't give notice?

The consequences depend heavily on where you work. In the United States, most employment is at-will, so walking out without notice is legal — but it will almost certainly destroy your reference, and some employers will refuse to rehire or even give a neutral reference. Within tight-knit industries (gaming, finance, biotech) word travels fast. Your next three employers will know.

In countries with stronger labor protections — the UK, Ireland, Germany, France, Australia — leaving without contractually required notice can have real financial consequences. Employers can withhold unpaid bonuses, sue for damages caused by your abrupt exit, or report a breach of contract. In Germany specifically, skipping statutory notice without cause is a civil matter that employers take seriously. Unless you're in an unsafe situation or have another offer that requires immediate start, always serve notice.

## Garden leave explained

Garden leave is a peculiarly British arrangement that has spread to other common-law jurisdictions. It works like this: you resign, your employer accepts, and instead of having you work out your notice period, they pay you to stay home. You remain technically employed — so you can't start a new job, you can't talk to clients, and you can't speak to the press — but you also can't set foot in the office. You sit at home (or, idiomatically, tend to your garden) until your notice expires.

Employers use garden leave when they worry a departing employee might steal clients, poach colleagues, or leak confidential information on their way out. It's especially common in finance, consulting, and senior tech roles. From the employee's perspective, garden leave is usually a good outcome: you get paid, you get time to decompress, and your non-compete clock starts running immediately. The only downside is you can't start your new job until garden leave ends.

## Negotiating a shorter notice period

If your contract says three months but your new employer wants you to start in two weeks, you have options — but you need to approach the conversation carefully. Here's what actually works:

-   **Lead with the handover plan.** Don't start with "I want out faster." Start with "Here's exactly how I'll document my work and transition my projects in four weeks." Make it easy to say yes.
-   **Offer to use vacation days.** If you have unused vacation, offering to "work" those days from a beach effectively shortens your in-office notice without changing the contract.
-   **Propose part-time handover.** Suggest a hybrid where you're full-time for two weeks and part-time (or on-call) for the remaining month. Employers sometimes accept this.
-   **Be honest about the new opportunity.** If the new role has a hard start date, say so. Most managers would rather let you go cleanly than force a resentful employee to stay.
-   **Don't threaten to quit.** Never say "I'll just walk out if you don't let me." It signals you were never committed to a clean exit and will damage your reference.

## The complete handover checklist

Regardless of how long your notice is, a clean handover is the single biggest thing you can do to protect your reputation. Here's a comprehensive list of what to cover during notice:

### Week 1 of notice

-   Submit a formal written resignation letter (email is fine — keep it short and professional)
-   Tell your direct reports and immediate team before the wider org finds out
-   Agree on the communication plan with your manager — who tells whom, and when
-   Start a handover document listing every project, client, recurring task, and access credential

### Middle of notice

-   Schedule 1:1 knowledge-transfer sessions with whoever is taking over each project
-   Record Loom videos walking through complex systems or dashboards only you understand
-   Update documentation in the team wiki, Notion, or Confluence — don't leave tribal knowledge in your head
-   Introduce your successor (or backfill candidate) to key clients and external partners
-   Transfer ownership of shared documents, dashboards, and recurring meetings

### Final week

-   Submit final expense reports and timesheets
-   Return company equipment (laptop, badge, phone, credit card) per IT instructions
-   Back up any personal files, contacts, and references you'll need later
-   Download any personal performance reviews, certifications, or training records
-   Confirm your final paycheck date, vacation payout, and equity vesting schedule
-   Ask for a written reference or LinkedIn recommendation while you're still top of mind
-   Update LinkedIn with your new role (only after the internal announcement has gone out)
-   Say a proper goodbye — a short email to your team, plus in-person thanks to people who shaped your career

Done well, notice periods are among the most underrated moments in a career. They're your last chance to leave a strong impression with people you'll run into again and again over the next decade. Don't phone it in.

## Lining up your next role?

Browse open positions at companies with transparent culture and clear comp.

[Browse All Jobs →](https://jobsbyculture.com/jobs)

## Frequently Asked Questions

What is a notice period?+

A notice period is the length of time between when you tell your employer you're resigning and your final day of work. It gives your employer time to plan a handover, redistribute your responsibilities, and begin hiring a replacement. Notice periods are either required by your employment contract or follow local customs — in the US the standard is two weeks, in the UK it's typically one to three months depending on seniority.

How long should my notice period be?+

Check your employment contract first — it usually specifies the required notice. If there's no contract clause, follow local norms. In the US, two weeks is standard for most roles. In the UK, Ireland, Germany, and France, one to three months is typical, with senior roles requiring longer. Executives often have notice periods of three to six months.

What happens if I don't give notice?+

In the US, most employment is at-will, so leaving without notice is legal but can burn bridges and cost you a reference. In countries with stronger labor protections (UK, EU, Australia), leaving without contractually required notice can result in the employer withholding final pay, suing for damages, or refusing to provide a reference. It rarely makes sense to skip notice unless your situation is genuinely unsafe.

Can I be paid out instead of working notice?+

Sometimes. This is called payment in lieu of notice (PILON) and is common in the UK and Ireland. Whether it's available depends on your contract and your employer's preference. If your employer doesn't want you around during notice, they may offer garden leave (you stay employed and paid but don't come in) or PILON (a lump sum equal to your notice period).

Does my notice period include weekends?+

Usually yes — notice periods are typically measured in calendar days or weeks, which include weekends and holidays. So a two-week notice starting on Monday ends on the Friday of the following week (10 working days, but 14 calendar days). Check your contract for exact wording; some contracts specify working days instead.

Can I take vacation during my notice period?+

It depends on your employer. Many employers discourage or refuse vacation during notice because they want you available for handover. Others require you to use any remaining vacation days during notice to reduce their final payout obligation. Clarify this with HR as soon as you resign.

## More free tools

[Salary Negotiation](https://jobsbyculture.com/tools/salary-negotiation-calculator) [PTO Calculator](https://jobsbyculture.com/tools/pto-calculator) [RTO Days Counter](https://jobsbyculture.com/tools/rto-days-counter) [Severance Calculator](https://jobsbyculture.com/tools/layoff-severance-calculator) [Org Chart Maker](https://jobsbyculture.com/org-chart-maker) [All Free Tools →](https://jobsbyculture.com/tools)

---

## Document: Async-First Jobs at AI & Tech Companies | JobsByCulture

# Async-First Jobs at AI & Tech Companies | JobsByCulture

> Browse 476 jobs at 9 companies that value async-first. Companies that default to asynchronous communication. Fewer meetings, more written documentation, and res

Source: https://jobsbyculture.com/values/async
Markdown: https://jobsbyculture.com/values/async.md
Last updated: 2026-07-14

---
Async-First

# 📡 _Async-First_ Jobs

Companies that default to asynchronous communication. Fewer meetings, more written documentation, and respect for deep focus time across time zones.

476

Open Roles

9

Companies

## Companies that value _async-first_

[

![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Hugging Face

Mid (~700) · Glassdoor 3.8/5

Open Source Remote-Friendly Flexible Hours Transparent

](https://jobsbyculture.com/companies/huggingface)[

![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Linear

Small (~80) · Glassdoor 4.6/5

Deep Work / Low Meetings Remote-Friendly Async-First Engineering-Driven

](https://jobsbyculture.com/companies/linear)[

![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Weaviate

Small (~110) · Glassdoor 4.3/5

Remote-Friendly Async-First Flat Hierarchy Open Source

](https://jobsbyculture.com/companies/weaviate)[

![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

PostHog

Small (~170) · Glassdoor 4.3/5

Open Source Transparent Async-First Remote-Friendly

](https://jobsbyculture.com/companies/posthog)[

![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Supabase

Small (~250) · Glassdoor 4.8/5

Open Source Remote-Friendly Engineering-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/supabase)[

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Mid (~300) · Glassdoor 4.5/5

Remote-Friendly Open Source Flat Hierarchy Transparent

](https://jobsbyculture.com/companies/n8n)[

![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

GitLab

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Async-First Transparent Open Source

](https://jobsbyculture.com/companies/gitlab)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Automattic](https://www.google.com/s2/favicons?domain=automattic.com&sz=128)

Automattic

Large (~1,900) · Glassdoor 2.9/5

Remote-Friendly Open Source Async-First

](https://jobsbyculture.com/companies/automattic)

## Latest Async-First jobs

[![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

ABM Manager, Global Public Sector

Elastic · United States

›](https://jobsbyculture.com/jobs/elastic/abm-manager-global-public-sector) [![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

Account Executive - Italy

GitLab · Remote, Italy

›](https://jobsbyculture.com/jobs/gitlab/account-executive-italy) [![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Customer Solution Architect (AMER)

Supabase · Remote

›](https://jobsbyculture.com/jobs/supabase/customer-solution-architect-amer) [![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

Technical Account Manager (Remote US)

n8n · United States

›](https://jobsbyculture.com/jobs/n8n/technical-account-manager-remote-us) [![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Senior / Staff Fullstack Engineer

Linear · Europe

›](https://jobsbyculture.com/jobs/linear/senior-staff-fullstack-engineer-h50cj) [![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

Technical Ex-Founder

PostHog · Remote

›](https://jobsbyculture.com/jobs/posthog/technical-ex-founder) [![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Data/Infrastructure Advocate Engineer - EMEA Remote

Hugging Face · Paris, Île-de-France, France

›](https://jobsbyculture.com/jobs/huggingface/data-infrastructure-advocate-engineer-emea-remote) [![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Developer Marketing Manager

Weaviate · Europe

›](https://jobsbyculture.com/jobs/weaviate/developer-marketing-manager) [![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

ABM Regional Manager, AMER

Elastic · United States

›](https://jobsbyculture.com/jobs/elastic/abm-regional-manager-amer) [![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

AI Engineer

GitLab · Remote, US

›](https://jobsbyculture.com/jobs/gitlab/ai-engineer) [![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Support Engineer (AMER)

Supabase · Remote

›](https://jobsbyculture.com/jobs/supabase/support-engineer-amer) [![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

Technical Account Manager (Remote Europe)

n8n · Berlin Office

›](https://jobsbyculture.com/jobs/n8n/technical-account-manager-remote-europe) [![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Senior / Staff Fullstack Engineer

Linear · North America

›](https://jobsbyculture.com/jobs/linear/senior-staff-fullstack-engineer-m3ypy) [![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

Technical Account Executive

PostHog · Remote

›](https://jobsbyculture.com/jobs/posthog/technical-account-executive) [![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Data/Infrastructure Advocate Engineer - US Remote

Hugging Face · New York, New York, United States

›](https://jobsbyculture.com/jobs/huggingface/data-infrastructure-advocate-engineer-us-remote) [![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Developer Advocate Intern

Weaviate · Europe

›](https://jobsbyculture.com/jobs/weaviate/developer-advocate-intern) [![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Accountant

Elastic · Bangalore, India

›](https://jobsbyculture.com/jobs/elastic/accountant) [![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

AI Transformation Owner, Marketing

GitLab · Remote, Canada; Remote, Ireland; Remote, United Kingdom; Remote, US

›](https://jobsbyculture.com/jobs/gitlab/ai-transformation-owner-marketing) [![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Support Engineer (APAC)

Supabase · Remote

›](https://jobsbyculture.com/jobs/supabase/support-engineer-apac) [![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

Senior Support Engineer | Remote | US

n8n · United States

›](https://jobsbyculture.com/jobs/n8n/senior-support-engineer-remote-us)

[View all 476 jobs →](https://jobsbyculture.com/jobs?value=async)

## Browse by role

[Async-First Engineering Jobs 170](https://jobsbyculture.com/roles/async/engineering) [Async-First Sales / GTM Jobs 156](https://jobsbyculture.com/roles/async/sales) [Async-First Product Jobs 33](https://jobsbyculture.com/roles/async/product) [Async-First Marketing Jobs 18](https://jobsbyculture.com/roles/async/marketing) [Async-First Data Jobs 9](https://jobsbyculture.com/roles/async/data) [Async-First Legal Jobs 8](https://jobsbyculture.com/roles/async/legal) [Async-First Design Jobs 7](https://jobsbyculture.com/roles/async/design) [Async-First Operations Jobs 7](https://jobsbyculture.com/roles/async/operations)

## Other culture values

[⚖️ Work-Life Balance 1646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2595](https://jobsbyculture.com/values/diverse) [🛡️ Safe to Fail 312](https://jobsbyculture.com/values/psych-safety)

---

## Document: Deep Work / Low Meetings Jobs at AI & Tech Companies | JobsByCulture

# Deep Work / Low Meetings Jobs at AI & Tech Companies | JobsByCulture

> Browse 67 jobs at 3 companies that value deep work / low meetings. Companies that protect your focus time. Minimal meetings, no-meeting days, and a culture that

Source: https://jobsbyculture.com/values/deep-work
Markdown: https://jobsbyculture.com/values/deep-work.md
Last updated: 2026-07-14

---
Deep Work / Low Meetings

# 🎧 _Deep Work / Low Meetings_ Jobs

Companies that protect your focus time. Minimal meetings, no-meeting days, and a culture that values sustained concentration over constant collaboration.

67

Open Roles

3

Companies

## Companies that value _deep work / low meetings_

[

![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Linear

Small (~80) · Glassdoor 4.6/5

Deep Work / Low Meetings Remote-Friendly Async-First Engineering-Driven

](https://jobsbyculture.com/companies/linear)[

![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Modal

Small (~110) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Deep Work / Low Meetings Open Source

](https://jobsbyculture.com/companies/modal)[

![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Google DeepMind

Large (~7,000) · Glassdoor 4.2/5

Deep Work / Low Meetings Learning & Growth Engineering-Driven Diverse & Inclusive

](https://jobsbyculture.com/companies/deepmind)

## Latest Deep Work / Low Meetings jobs

[![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Member of Technical Staff - Systems

Modal · New York

›](https://jobsbyculture.com/jobs/modal/member-of-technical-staff-systems-bzjla) [![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Senior / Staff Fullstack Engineer

Linear · Europe

›](https://jobsbyculture.com/jobs/linear/senior-staff-fullstack-engineer-h50cj) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Distinguished Designer, Gemini App Systems

Google DeepMind · Mountain View, California, US

›](https://jobsbyculture.com/jobs/deepmind/distinguished-designer-gemini-app-systems) [![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Member of Technical Staff - Product (Frontend)

Modal · New York

›](https://jobsbyculture.com/jobs/modal/member-of-technical-staff-product-frontend) [![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Senior / Staff Fullstack Engineer

Linear · North America

›](https://jobsbyculture.com/jobs/linear/senior-staff-fullstack-engineer-m3ypy) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Research Engineer, Human Understanding

Google DeepMind · Los Angeles, California, US; Mountain View, California, US

›](https://jobsbyculture.com/jobs/deepmind/research-engineer-human-understanding) [![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Forward Deployed Engineer - ML

Modal · New York

›](https://jobsbyculture.com/jobs/modal/forward-deployed-engineer-ml-w5t4g) [![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Senior / Staff Product Engineer

Linear · Europe

›](https://jobsbyculture.com/jobs/linear/senior-staff-product-engineer-wok76) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Research Engineer, Materials Science

Google DeepMind · Mountain View, California, US

›](https://jobsbyculture.com/jobs/deepmind/research-engineer-materials-science) [![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Business Operations Manager

Modal · New York

›](https://jobsbyculture.com/jobs/modal/business-operations-manager) [![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Senior / Staff Product Engineer

Linear · North America

›](https://jobsbyculture.com/jobs/linear/senior-staff-product-engineer-esz75) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Research Engineer, Multimodal Reasoning For Information Literacy

Google DeepMind · Mountain View, California, US

›](https://jobsbyculture.com/jobs/deepmind/research-engineer-multimodal-reasoning-for-information-literacy) [![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Member of Technical Staff - ML Performance

Modal · New York

›](https://jobsbyculture.com/jobs/modal/member-of-technical-staff-ml-performance) [![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Product Engineer

Linear · North America

›](https://jobsbyculture.com/jobs/linear/product-engineer) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Research Scientist, Gemini Safety

Google DeepMind · Mountain View, California, US

›](https://jobsbyculture.com/jobs/deepmind/research-scientist-gemini-safety) [![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Member of Technical Staff - Python SDK

Modal · New York

›](https://jobsbyculture.com/jobs/modal/member-of-technical-staff-python-sdk) [![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Product Manager

Linear · North America

›](https://jobsbyculture.com/jobs/linear/product-manager-9ktlf) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Research Scientist, Multimodal Alignment, Safety, and Fairness

Google DeepMind · Kirkland, Washington, US; Mountain View, California, US; New York City, New York, US

›](https://jobsbyculture.com/jobs/deepmind/research-scientist-multimodal-alignment-safety-and-fairness) [![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Customer Engineer

Modal · New York

›](https://jobsbyculture.com/jobs/modal/customer-engineer) [![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Product Manager

Linear · Europe

›](https://jobsbyculture.com/jobs/linear/product-manager-yba8e)

[View all 67 jobs →](https://jobsbyculture.com/jobs?value=deep-work)

## Browse by role

[Deep Work / Low Meetings Engineering Jobs 20](https://jobsbyculture.com/roles/deep-work/engineering) [Deep Work / Low Meetings Marketing Jobs 8](https://jobsbyculture.com/roles/deep-work/marketing) [Deep Work / Low Meetings ML / AI Jobs 7](https://jobsbyculture.com/roles/deep-work/ml-ai) [Deep Work / Low Meetings Sales / GTM Jobs 7](https://jobsbyculture.com/roles/deep-work/sales) [Deep Work / Low Meetings Design Jobs 6](https://jobsbyculture.com/roles/deep-work/design) [Deep Work / Low Meetings Operations Jobs 3](https://jobsbyculture.com/roles/deep-work/operations) [Deep Work / Low Meetings Support Jobs 3](https://jobsbyculture.com/roles/deep-work/support) [Deep Work / Low Meetings Product Jobs 2](https://jobsbyculture.com/roles/deep-work/product)

## Other culture values

[⚖️ Work-Life Balance 1646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🪟 Transparent 2269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2595](https://jobsbyculture.com/values/diverse) [🛡️ Safe to Fail 312](https://jobsbyculture.com/values/psych-safety)

---

## Document: Diverse & Inclusive Jobs at AI & Tech Companies | JobsByCulture

# Diverse & Inclusive Jobs at AI & Tech Companies | JobsByCulture

> Browse 2595 jobs at 17 companies that value diverse & inclusive. Companies with genuine commitments to diversity, equity, and inclusion. Diverse leadership team

Source: https://jobsbyculture.com/values/diverse
Markdown: https://jobsbyculture.com/values/diverse.md
Last updated: 2026-07-14

---
Diverse & Inclusive

# 🌈 _Diverse & Inclusive_ Jobs

Companies with genuine commitments to diversity, equity, and inclusion. Diverse leadership teams, inclusive hiring practices, and employee resource groups.

2595

Open Roles

17

Companies

## Companies that value _diverse & inclusive_

[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Weaviate

Small (~110) · Glassdoor 4.3/5

Remote-Friendly Async-First Flat Hierarchy Open Source

](https://jobsbyculture.com/companies/weaviate)[

![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Google DeepMind

Large (~7,000) · Glassdoor 4.2/5

Deep Work / Low Meetings Learning & Growth Engineering-Driven Diverse & Inclusive

](https://jobsbyculture.com/companies/deepmind)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Tailscale

Small (~290) · Glassdoor 4.4/5

Remote-Friendly Work-Life Balance Strong Comp & Equity Engineering-Driven

](https://jobsbyculture.com/companies/tailscale)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Wayve

Mid (~850) · Glassdoor 4.4/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/wayve)[

![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

DeepL

Large (~1,570) · Glassdoor 2.9/5

Work-Life Balance Flexible Hours Diverse & Inclusive Direct Product Impact

](https://jobsbyculture.com/companies/deepl)[

![Labelbox](https://www.google.com/s2/favicons?domain=labelbox.com&sz=128)

Labelbox

Medium (~350) · Glassdoor 3.2/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/labelbox)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)[

![Bizzdesign](https://www.google.com/s2/favicons?domain=bizzdesign.com&sz=128)

Bizzdesign

Mid (~500) · Glassdoor 4.2/5

Learning & Growth Direct Product Impact Diverse & Inclusive Ship Fast & Iterate

](https://jobsbyculture.com/companies/bizzdesign)

## Latest Diverse & Inclusive jobs

[![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

ソリューションアーキテクト (プリセールス)

Databricks · Japan

›](https://jobsbyculture.com/jobs/databricks/-1izcx) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Account Executive, Auth0

Okta · Tokyo, Japan

›](https://jobsbyculture.com/jobs/okta/account-executive-auth0) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Austin, TX Strategic Cuisines District Manager- Spanish

Toast · Austin, TX

›](https://jobsbyculture.com/jobs/toast/austin-tx-strategic-cuisines-district-manager-spanish) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Acquisition Manager

Airbnb · Berlin, Germany

›](https://jobsbyculture.com/jobs/airbnb/acquisition-manager-h2pop) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive- Corporate/Enterprise

HubSpot · Office - Bengaluru, India

›](https://jobsbyculture.com/jobs/hubspot/account-executive-corporate-enterprise) [![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Administrative Business Partner

Asana · San Francisco

›](https://jobsbyculture.com/jobs/asana/administrative-business-partner) [![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Outbound Business Development Representative, AMER

Notion · New York, New York

›](https://jobsbyculture.com/jobs/notion/outbound-business-development-representative-amer-nvdev) [![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Account Manager

Instacart · United States - Remote

›](https://jobsbyculture.com/jobs/instacart/account-manager) [![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Fraud and Abuse Operations Analyst

Plaid · San Francisco HQ

›](https://jobsbyculture.com/jobs/plaid/fraud-and-abuse-operations-analyst) [![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

ADAS Feature Engineer

Wayve · Tokyo

›](https://jobsbyculture.com/jobs/wayve/adas-feature-engineer-prd33) [![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Backend Engineer, Identity

Tailscale · Remote (Canada)

›](https://jobsbyculture.com/jobs/tailscale/backend-engineer-identity-79dq4) [![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Account Executive, SLED

Airtable · Austin, TX; Remote - US

›](https://jobsbyculture.com/jobs/airtable/account-executive-sled) [![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

Developer Growth, API & Agentic AI Products

DeepL · Austin

›](https://jobsbyculture.com/jobs/deepl/developer-growth-api-agentic-ai-products) [![Labelbox](https://www.google.com/s2/favicons?domain=labelbox.com&sz=128)

Applied Research Engineer, Agents

Labelbox · San Francisco Bay Area

›](https://jobsbyculture.com/jobs/labelbox/applied-research-engineer-agents) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Distinguished Designer, Gemini App Systems

Google DeepMind · Mountain View, California, US

›](https://jobsbyculture.com/jobs/deepmind/distinguished-designer-gemini-app-systems) [![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Developer Marketing Manager

Weaviate · Europe

›](https://jobsbyculture.com/jobs/weaviate/developer-marketing-manager) [![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

デリバリーソリューションアーキテクト

Databricks · Tokyo, Japan

›](https://jobsbyculture.com/jobs/databricks/-x9m1g) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Account Executive Large Enterprise - DACH

Okta · Germany

›](https://jobsbyculture.com/jobs/okta/account-executive-large-enterprise-dach) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Bilingual Growth Account Executive - Mandarin

Toast · Seattle, WA

›](https://jobsbyculture.com/jobs/toast/bilingual-growth-account-executive-mandarin-iu9s3) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Acquisition Manager

Airbnb · Milan, Italy

›](https://jobsbyculture.com/jobs/airbnb/acquisition-manager-d4rxa)

[View all 2595 jobs →](https://jobsbyculture.com/jobs?value=diverse)

## Browse by role

[Diverse & Inclusive Sales / GTM Jobs 887](https://jobsbyculture.com/roles/diverse/sales) [Diverse & Inclusive Engineering Jobs 845](https://jobsbyculture.com/roles/diverse/engineering) [Diverse & Inclusive Product Jobs 137](https://jobsbyculture.com/roles/diverse/product) [Diverse & Inclusive Data Jobs 81](https://jobsbyculture.com/roles/diverse/data) [Diverse & Inclusive ML / AI Jobs 74](https://jobsbyculture.com/roles/diverse/ml-ai) [Diverse & Inclusive Marketing Jobs 63](https://jobsbyculture.com/roles/diverse/marketing) [Diverse & Inclusive Operations Jobs 54](https://jobsbyculture.com/roles/diverse/operations) [Diverse & Inclusive Legal Jobs 36](https://jobsbyculture.com/roles/diverse/legal)

## Other culture values

[⚖️ Work-Life Balance 1646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🛡️ Safe to Fail 312](https://jobsbyculture.com/values/psych-safety)

## Related Reading

[Employer Brand Benchmarks for AI Companies (2026) →](https://jobsbyculture.com/blog/employer-brand-benchmarks-ai-2026)

---

## Document: Engineering-Driven Jobs at AI & Tech Companies | JobsByCulture

# Engineering-Driven Jobs at AI & Tech Companies | JobsByCulture

> Browse 11034 jobs at 92 companies that value engineering-driven. Companies where engineers have real influence on product direction. Technical excellence is val

Source: https://jobsbyculture.com/values/eng-driven
Markdown: https://jobsbyculture.com/values/eng-driven.md
Last updated: 2026-07-14

---
Engineering-Driven

# ⚙️ _Engineering-Driven_ Jobs

Companies where engineers have real influence on product direction. Technical excellence is valued, engineers participate in roadmap decisions, and code quality matters.

11034

Open Roles

92

Companies

## Companies that value _engineering-driven_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![Mistral AI](https://www.google.com/s2/favicons?domain=mistral.ai&sz=128)

Mistral AI

Small (~100) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/mistral)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Linear

Small (~80) · Glassdoor 4.6/5

Deep Work / Low Meetings Remote-Friendly Async-First Engineering-Driven

](https://jobsbyculture.com/companies/linear)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Runway](https://www.google.com/s2/favicons?domain=runwayml.com&sz=128)

Runway

Mid (~420) · Glassdoor 4.5/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/runway)[

![Vast AI](https://www.google.com/s2/favicons?domain=vast.ai&sz=128)

Vast AI

Small (~30) · Glassdoor 5/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/vast)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Pinecone](https://www.google.com/s2/favicons?domain=pinecone.io&sz=128)

Pinecone

Small (~130) · Glassdoor 4.2/5

Flexible Hours Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/pinecone)[

![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Modal

Small (~110) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Deep Work / Low Meetings Open Source

](https://jobsbyculture.com/companies/modal)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Google DeepMind

Large (~7,000) · Glassdoor 4.2/5

Deep Work / Low Meetings Learning & Growth Engineering-Driven Diverse & Inclusive

](https://jobsbyculture.com/companies/deepmind)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

Small (~200) · Glassdoor 4/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/replit)[

![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Supabase

Small (~250) · Glassdoor 4.8/5

Open Source Remote-Friendly Engineering-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/supabase)[

![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Tailscale

Small (~290) · Glassdoor 4.4/5

Remote-Friendly Work-Life Balance Strong Comp & Equity Engineering-Driven

](https://jobsbyculture.com/companies/tailscale)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

incident.io

Small (~140) · Glassdoor 4.5/5

Transparent Safe to Fail Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/incidentio)[

![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Grafana Labs

Large (~1,700) · Glassdoor 4.1/5

Remote-Friendly Open Source Engineering-Driven Transparent

](https://jobsbyculture.com/companies/grafanalabs)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Baseten

Small (~100) · Glassdoor 4.3/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/baseten)[

![Fireworks AI](https://www.google.com/s2/favicons?domain=fireworks.ai&sz=128)

Fireworks AI

Small (~100) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Learning & Growth

](https://jobsbyculture.com/companies/fireworksai)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Wayve

Mid (~850) · Glassdoor 4.4/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/wayve)[

![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Contentful

Large (~1,000) · Glassdoor 3.4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/contentful)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Hebbia](https://www.google.com/s2/favicons?domain=hebbia.com&sz=128)

Hebbia

Small (~140) · Glassdoor 4.4/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Wears Many Hats

](https://jobsbyculture.com/companies/hebbia)[

![Cerebras Systems](https://www.google.com/s2/favicons?domain=cerebras.ai&sz=128)

Cerebras Systems

Large (~700) · Glassdoor 4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/cerebras)[

![Poolside](https://www.google.com/s2/favicons?domain=poolside.ai&sz=128)

Poolside

Small (~150) · Glassdoor 3.8/5

Engineering-Driven Remote-Friendly Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/poolside)[

![Anyscale](https://www.google.com/s2/favicons?domain=anyscale.com&sz=128)

Anyscale

Medium (~250) · Glassdoor 4.2/5

Engineering-Driven Open Source Flat Hierarchy Ship Fast & Iterate

](https://jobsbyculture.com/companies/anyscale)[

![Descript](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

Descript

Medium (~250) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/descript)[

![Labelbox](https://www.google.com/s2/favicons?domain=labelbox.com&sz=128)

Labelbox

Medium (~350) · Glassdoor 3.2/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/labelbox)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![Granola](https://www.google.com/s2/favicons?domain=granola.ai&sz=128)

Granola

Small (~50) · Glassdoor 5/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/granola)[

![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

Chainguard

Mid (~350) · Glassdoor 4.5/5

Remote-Friendly Open Source Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/chainguard)[

![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Mercor

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Strong Comp & Equity

](https://jobsbyculture.com/companies/mercor)[

![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Webflow

Mid (~800) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Remote-Friendly Work-Life Balance

](https://jobsbyculture.com/companies/webflow)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Writer](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

Writer

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Open Source

](https://jobsbyculture.com/companies/writer)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Abridge

Mid (~500) · Glassdoor 4.7/5

Mission-Driven Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/abridge)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Lambda

Mid (~500) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/lambda)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Ironclad

Mid (~800) · Glassdoor 4.4/5

Work-Life Balance Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/ironclad)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Hippocratic AI

Small (~264) · Glassdoor 3.9/5

Mission-Driven Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/hippocratic-ai)[

![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Exa

Small (~120) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/exa)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Figure AI](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

Figure AI

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/figureai)[

![Twelve Labs](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

Twelve Labs

Small (~100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Direct Product Impact

](https://jobsbyculture.com/companies/twelve-labs)[

![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Cartesia

Small (~90) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/cartesia)[

![Character AI](https://www.google.com/s2/favicons?domain=character.ai&sz=128)

Character AI

Mid (~250) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/character)[

![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Lightmatter

Mid (~300) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lightmatter)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Benchling](https://www.google.com/s2/favicons?domain=benchling.com&sz=128)

Benchling

Mid (~800) · Glassdoor 3.5/5

Engineering-Driven Mission-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/benchling)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

LaunchDarkly

Mid (~590) · Glassdoor 3.8/5

Engineering-Driven Work-Life Balance Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/launchdarkly)[

![WorkOS](https://www.google.com/s2/favicons?domain=workos.com&sz=128)

WorkOS

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/workos)[

![Cryptio](https://www.google.com/s2/favicons?domain=cryptio.co&sz=128)

Cryptio

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/cryptio)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)[

![Dropbox](https://www.google.com/s2/favicons?domain=dropbox.com&sz=128)

Dropbox

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/dropbox)[

![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Goodfire

Small (~50) · Glassdoor null/5

Engineering-Driven Ethical AI / Safety Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/goodfire)[

![DevRev](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

DevRev

Mid (~800) · Glassdoor 4.1/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/devrev)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)[

![Kindred](https://www.google.com/s2/favicons?domain=livekindred.com&sz=128)

Kindred

Small (~50) · Glassdoor null/5

Direct Product Impact Ship Fast & Iterate Engineering-Driven Wears Many Hats

](https://jobsbyculture.com/companies/kindred)

## Latest Engineering-Driven jobs

[![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

ソリューションアーキテクト (プリセールス)

Databricks · Japan

›](https://jobsbyculture.com/jobs/databricks/-1izcx) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Technical Program Manager, Compute Infrastructure

OpenAI · San Francisco

›](https://jobsbyculture.com/jobs/openai/technical-program-manager-compute-infrastructure) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, AI Sales (Grower)

Stripe · San Francisco, CA

›](https://jobsbyculture.com/jobs/stripe/account-executive-ai-sales-grower) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

AI Research Engineer - Datadog AI Research (DAIR)

Datadog · Paris, France

›](https://jobsbyculture.com/jobs/datadog/ai-research-engineer-datadog-ai-research-dair) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Senior Solution Engineer

Snowflake · US-NC-Remote

›](https://jobsbyculture.com/jobs/snowflake/senior-solution-engineer-jj4kz) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Account Executive - ASEAN

Anthropic · Sydney, Australia

›](https://jobsbyculture.com/jobs/anthropic/account-executive-asean) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Account Development Representative

MongoDB · Austin

›](https://jobsbyculture.com/jobs/mongodb/account-development-representative-op8z7) [![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Staff Product Security Engineer

Crusoe · San Francisco, CA - US

›](https://jobsbyculture.com/jobs/crusoe/staff-product-security-engineer) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Staff Software Engineer, AI Platform

Harvey · San Francisco

›](https://jobsbyculture.com/jobs/harvey/staff-software-engineer-ai-platform-67uz9) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Austin, TX Strategic Cuisines District Manager- Spanish

Toast · Austin, TX

›](https://jobsbyculture.com/jobs/toast/austin-tx-strategic-cuisines-district-manager-spanish) [![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

Account Executive - Greenfield

CoreWeave · New York, NY / Chicago, IL / Seattle, WA / San Francisco, CA

›](https://jobsbyculture.com/jobs/coreweave/account-executive-greenfield) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Administrative Business Partner - Security

Palantir · Palo Alto, CA

›](https://jobsbyculture.com/jobs/palantir/administrative-business-partner-security-x83sp) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Account Executive, Mid Market

Brex · Seattle, Washington, United States

›](https://jobsbyculture.com/jobs/brex/account-executive-mid-market-oowyb) [![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Account Executive, SLED (Austin)

Cloudflare · Distributed

›](https://jobsbyculture.com/jobs/cloudflare/account-executive-sled-austin) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Account Manager

Adyen · Berlin

›](https://jobsbyculture.com/jobs/adyen/account-manager-q73pv) [![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Acquisition Account Manager, Mid-Market EMEA

Reddit · London, United Kingdom

›](https://jobsbyculture.com/jobs/reddit/acquisition-account-manager-mid-market-emea) [![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

AI Applications Ops Lead, GPS

Scale AI · Doha, Qatar; London, UK

›](https://jobsbyculture.com/jobs/scale/ai-applications-ops-lead-gps) [![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

Social Media Manager

ElevenLabs · London

›](https://jobsbyculture.com/jobs/elevenlabs/social-media-manager) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Account Executive, Emerging Enterprise (Berlin, Germany)

Figma · Berlin, Germany

›](https://jobsbyculture.com/jobs/figma/account-executive-emerging-enterprise-berlin-germany) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sales Engineer

Sierra · San Francisco, CA

›](https://jobsbyculture.com/jobs/sierra/sales-engineer-yewqx)

[View all 11034 jobs →](https://jobsbyculture.com/jobs?value=eng-driven)

## Browse by role

[Engineering-Driven Engineering Jobs 4002](https://jobsbyculture.com/roles/eng-driven/engineering) [Engineering-Driven Sales / GTM Jobs 2566](https://jobsbyculture.com/roles/eng-driven/sales) [Engineering-Driven Product Jobs 645](https://jobsbyculture.com/roles/eng-driven/product) [Engineering-Driven Marketing Jobs 402](https://jobsbyculture.com/roles/eng-driven/marketing) [Engineering-Driven ML / AI Jobs 353](https://jobsbyculture.com/roles/eng-driven/ml-ai) [Engineering-Driven Operations Jobs 316](https://jobsbyculture.com/roles/eng-driven/operations) [Engineering-Driven Data Jobs 267](https://jobsbyculture.com/roles/eng-driven/data) [Engineering-Driven HR / People Jobs 221](https://jobsbyculture.com/roles/eng-driven/hr-people)

## Other culture values

[⚖️ Work-Life Balance 1646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2595](https://jobsbyculture.com/values/diverse)

## Related Reading

[Best AI Companies for Engineers (2026) →](https://jobsbyculture.com/blog/best-ai-companies-for-engineers-2026)

---

## Document: Strong Comp & Equity Jobs at AI & Tech Companies | JobsByCulture

# Strong Comp & Equity Jobs at AI & Tech Companies | JobsByCulture

> Browse 9136 jobs at 47 companies that value strong comp & equity. Companies known for strong total compensation. Competitive base salary, meaningful equity gran

Source: https://jobsbyculture.com/values/equity
Markdown: https://jobsbyculture.com/values/equity.md
Last updated: 2026-07-14

---
Strong Comp & Equity

# 💎 _Strong Comp & Equity_ Jobs

Companies known for strong total compensation. Competitive base salary, meaningful equity grants, top-tier benefits, and transparent compensation bands.

9136

Open Roles

47

Companies

## Companies that value _strong comp & equity_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Vast AI](https://www.google.com/s2/favicons?domain=vast.ai&sz=128)

Vast AI

Small (~30) · Glassdoor 5/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/vast)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Google DeepMind

Large (~7,000) · Glassdoor 4.2/5

Deep Work / Low Meetings Learning & Growth Engineering-Driven Diverse & Inclusive

](https://jobsbyculture.com/companies/deepmind)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Tailscale

Small (~290) · Glassdoor 4.4/5

Remote-Friendly Work-Life Balance Strong Comp & Equity Engineering-Driven

](https://jobsbyculture.com/companies/tailscale)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Labelbox](https://www.google.com/s2/favicons?domain=labelbox.com&sz=128)

Labelbox

Medium (~350) · Glassdoor 3.2/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/labelbox)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![Granola](https://www.google.com/s2/favicons?domain=granola.ai&sz=128)

Granola

Small (~50) · Glassdoor 5/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/granola)[

![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

Chainguard

Mid (~350) · Glassdoor 4.5/5

Remote-Friendly Open Source Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/chainguard)[

![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Mercor

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Strong Comp & Equity

](https://jobsbyculture.com/companies/mercor)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Abridge

Mid (~500) · Glassdoor 4.7/5

Mission-Driven Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/abridge)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Lambda

Mid (~500) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/lambda)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)[

![Figure AI](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

Figure AI

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/figureai)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![Dropbox](https://www.google.com/s2/favicons?domain=dropbox.com&sz=128)

Dropbox

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/dropbox)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Latest Strong Comp & Equity jobs

[![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

ソリューションアーキテクト (プリセールス)

Databricks · Japan

›](https://jobsbyculture.com/jobs/databricks/-1izcx) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Technical Program Manager, Compute Infrastructure

OpenAI · San Francisco

›](https://jobsbyculture.com/jobs/openai/technical-program-manager-compute-infrastructure) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, AI Sales (Grower)

Stripe · San Francisco, CA

›](https://jobsbyculture.com/jobs/stripe/account-executive-ai-sales-grower) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

AI Research Engineer - Datadog AI Research (DAIR)

Datadog · Paris, France

›](https://jobsbyculture.com/jobs/datadog/ai-research-engineer-datadog-ai-research-dair) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Senior Solution Engineer

Snowflake · US-NC-Remote

›](https://jobsbyculture.com/jobs/snowflake/senior-solution-engineer-jj4kz) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Account Executive - ASEAN

Anthropic · Sydney, Australia

›](https://jobsbyculture.com/jobs/anthropic/account-executive-asean) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Account Development Representative

MongoDB · Austin

›](https://jobsbyculture.com/jobs/mongodb/account-development-representative-op8z7) [![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Staff Product Security Engineer

Crusoe · San Francisco, CA - US

›](https://jobsbyculture.com/jobs/crusoe/staff-product-security-engineer) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Account Executive, Auth0

Okta · Tokyo, Japan

›](https://jobsbyculture.com/jobs/okta/account-executive-auth0) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Staff Software Engineer, AI Platform

Harvey · San Francisco

›](https://jobsbyculture.com/jobs/harvey/staff-software-engineer-ai-platform-67uz9) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Austin, TX Strategic Cuisines District Manager- Spanish

Toast · Austin, TX

›](https://jobsbyculture.com/jobs/toast/austin-tx-strategic-cuisines-district-manager-spanish) [![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Account Development Representative - BeNeLux

Samsara · Remote - Netherlands

›](https://jobsbyculture.com/jobs/samsara/account-development-representative-benelux) [![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

Account Executive - Greenfield

CoreWeave · New York, NY / Chicago, IL / Seattle, WA / San Francisco, CA

›](https://jobsbyculture.com/jobs/coreweave/account-executive-greenfield) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Administrative Business Partner - Security

Palantir · Palo Alto, CA

›](https://jobsbyculture.com/jobs/palantir/administrative-business-partner-security-x83sp) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Account Executive - Retail

Celonis · Remote, US, California

›](https://jobsbyculture.com/jobs/celonis/account-executive-retail) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Acquisition Manager

Airbnb · Berlin, Germany

›](https://jobsbyculture.com/jobs/airbnb/acquisition-manager-h2pop) [![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Acquisition Account Manager, Mid-Market EMEA

Reddit · London, United Kingdom

›](https://jobsbyculture.com/jobs/reddit/acquisition-account-manager-mid-market-emea) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Account Executive DACH

Navan · Berlin, Germany

›](https://jobsbyculture.com/jobs/navan/account-executive-dach) [![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

ABM Manager, Global Public Sector

Elastic · United States

›](https://jobsbyculture.com/jobs/elastic/abm-manager-global-public-sector) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sales Engineer

Sierra · San Francisco, CA

›](https://jobsbyculture.com/jobs/sierra/sales-engineer-yewqx)

[View all 9136 jobs →](https://jobsbyculture.com/jobs?value=equity)

## Browse by role

[Strong Comp & Equity Engineering Jobs 3272](https://jobsbyculture.com/roles/equity/engineering) [Strong Comp & Equity Sales / GTM Jobs 2155](https://jobsbyculture.com/roles/equity/sales) [Strong Comp & Equity Product Jobs 530](https://jobsbyculture.com/roles/equity/product) [Strong Comp & Equity Marketing Jobs 301](https://jobsbyculture.com/roles/equity/marketing) [Strong Comp & Equity Operations Jobs 277](https://jobsbyculture.com/roles/equity/operations) [Strong Comp & Equity ML / AI Jobs 250](https://jobsbyculture.com/roles/equity/ml-ai) [Strong Comp & Equity Data Jobs 230](https://jobsbyculture.com/roles/equity/data) [Strong Comp & Equity Legal Jobs 164](https://jobsbyculture.com/roles/equity/legal)

## Other culture values

[⚖️ Work-Life Balance 1646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2595](https://jobsbyculture.com/values/diverse)

## Related Reading

[Highest Paying AI Companies in 2026 →](https://jobsbyculture.com/blog/highest-paying-ai-companies-2026)

---

## Document: Ethical AI / Safety Jobs at AI & Tech Companies | JobsByCulture

# Ethical AI / Safety Jobs at AI & Tech Companies | JobsByCulture

> Browse 444 jobs at 3 companies that value ethical ai / safety. Companies with genuine commitments to AI safety and responsible development. Research into alignm

Source: https://jobsbyculture.com/values/ethical-ai
Markdown: https://jobsbyculture.com/values/ethical-ai.md
Last updated: 2026-07-14

---
Ethical AI / Safety

# 🤖 _Ethical AI / Safety_ Jobs

Companies with genuine commitments to AI safety and responsible development. Research into alignment, interpretability, and the societal impact of AI systems.

444

Open Roles

3

Companies

## Companies that value _ethical ai / safety_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Google DeepMind

Large (~7,000) · Glassdoor 4.2/5

Deep Work / Low Meetings Learning & Growth Engineering-Driven Diverse & Inclusive

](https://jobsbyculture.com/companies/deepmind)[

![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Goodfire

Small (~50) · Glassdoor null/5

Engineering-Driven Ethical AI / Safety Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/goodfire)

## Latest Ethical AI / Safety jobs

[![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Account Executive - ASEAN

Anthropic · Sydney, Australia

›](https://jobsbyculture.com/jobs/anthropic/account-executive-asean) [![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Account Executive, Life Sciences

Goodfire · San Francisco, CA

›](https://jobsbyculture.com/jobs/goodfire/account-executive-life-sciences) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Distinguished Designer, Gemini App Systems

Google DeepMind · Mountain View, California, US

›](https://jobsbyculture.com/jobs/deepmind/distinguished-designer-gemini-app-systems) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Account Executive, Nonprofits & Higher Education - APAC

Anthropic · Sydney, Australia

›](https://jobsbyculture.com/jobs/anthropic/account-executive-nonprofits-higher-education-apac) [![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Account Executive, LLMs

Goodfire · San Francisco, CA

›](https://jobsbyculture.com/jobs/goodfire/account-executive-llms) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Research Engineer, Human Understanding

Google DeepMind · Los Angeles, California, US; Mountain View, California, US

›](https://jobsbyculture.com/jobs/deepmind/research-engineer-human-understanding) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Account Executive, Public Sector

Anthropic · Sydney, Australia

›](https://jobsbyculture.com/jobs/anthropic/account-executive-public-sector) [![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Account Executive, Robotics

Goodfire · San Francisco, CA

›](https://jobsbyculture.com/jobs/goodfire/account-executive-robotics) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Research Engineer, Materials Science

Google DeepMind · Mountain View, California, US

›](https://jobsbyculture.com/jobs/deepmind/research-engineer-materials-science) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

AI Compliance Officer

Anthropic · Dublin, IE

›](https://jobsbyculture.com/jobs/anthropic/ai-compliance-officer) [![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Brand & Growth Lead

Goodfire · San Francisco, CA

›](https://jobsbyculture.com/jobs/goodfire/brand-growth-lead) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Research Engineer, Multimodal Reasoning For Information Literacy

Google DeepMind · Mountain View, California, US

›](https://jobsbyculture.com/jobs/deepmind/research-engineer-multimodal-reasoning-for-information-literacy) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Amazon GTM Partnership, Startups

Anthropic · San Francisco, CA | New York City, NY | Seattle, WA

›](https://jobsbyculture.com/jobs/anthropic/amazon-gtm-partnership-startups) [![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Business Operations Manager

Goodfire · San Francisco, CA

›](https://jobsbyculture.com/jobs/goodfire/business-operations-manager) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Research Scientist, Gemini Safety

Google DeepMind · Mountain View, California, US

›](https://jobsbyculture.com/jobs/deepmind/research-scientist-gemini-safety) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic Fellows Program

Anthropic · London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA

›](https://jobsbyculture.com/jobs/anthropic/anthropic-fellows-program) [![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Demand Generation Lead

Goodfire · San Francisco, CA

›](https://jobsbyculture.com/jobs/goodfire/demand-generation-lead) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Research Scientist, Multimodal Alignment, Safety, and Fairness

Google DeepMind · Kirkland, Washington, US; Mountain View, California, US; New York City, New York, US

›](https://jobsbyculture.com/jobs/deepmind/research-scientist-multimodal-alignment-safety-and-fairness) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic Fellows Program, AI Safety

Anthropic · London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA

›](https://jobsbyculture.com/jobs/anthropic/anthropic-fellows-program-ai-safety) [![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Engagement Manager, Life Sciences

Goodfire · San Francisco, CA

›](https://jobsbyculture.com/jobs/goodfire/engagement-manager-life-sciences)

[View all 444 jobs →](https://jobsbyculture.com/jobs?value=ethical-ai)

## Browse by role

[Ethical AI / Safety Engineering Jobs 140](https://jobsbyculture.com/roles/ethical-ai/engineering) [Ethical AI / Safety Sales / GTM Jobs 82](https://jobsbyculture.com/roles/ethical-ai/sales) [Ethical AI / Safety ML / AI Jobs 57](https://jobsbyculture.com/roles/ethical-ai/ml-ai) [Ethical AI / Safety Product Jobs 32](https://jobsbyculture.com/roles/ethical-ai/product) [Ethical AI / Safety Operations Jobs 13](https://jobsbyculture.com/roles/ethical-ai/operations) [Ethical AI / Safety Legal Jobs 12](https://jobsbyculture.com/roles/ethical-ai/legal) [Ethical AI / Safety Marketing Jobs 12](https://jobsbyculture.com/roles/ethical-ai/marketing) [Ethical AI / Safety Data Jobs 11](https://jobsbyculture.com/roles/ethical-ai/data)

## Other culture values

[⚖️ Work-Life Balance 1646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2595](https://jobsbyculture.com/values/diverse)

## Related Reading

[Anthropic vs OpenAI: Culture Comparison →](https://jobsbyculture.com/blog/anthropic-vs-openai-culture-comparison)

---

## Document: Flat Hierarchy Jobs at AI & Tech Companies | JobsByCulture

# Flat Hierarchy Jobs at AI & Tech Companies | JobsByCulture

> Browse 618 jobs at 17 companies that value flat hierarchy. Companies with minimal management layers. Direct access to leadership, autonomy in decision-making, a

Source: https://jobsbyculture.com/values/flat
Markdown: https://jobsbyculture.com/values/flat.md
Last updated: 2026-07-14

---
Flat Hierarchy

# 🤝 _Flat Hierarchy_ Jobs

Companies with minimal management layers. Direct access to leadership, autonomy in decision-making, and a culture where good ideas win regardless of title.

618

Open Roles

17

Companies

## Companies that value _flat hierarchy_

[

![Mistral AI](https://www.google.com/s2/favicons?domain=mistral.ai&sz=128)

Mistral AI

Small (~100) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/mistral)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Vast AI](https://www.google.com/s2/favicons?domain=vast.ai&sz=128)

Vast AI

Small (~30) · Glassdoor 5/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/vast)[

![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Weaviate

Small (~110) · Glassdoor 4.3/5

Remote-Friendly Async-First Flat Hierarchy Open Source

](https://jobsbyculture.com/companies/weaviate)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

PostHog

Small (~170) · Glassdoor 4.3/5

Open Source Transparent Async-First Remote-Friendly

](https://jobsbyculture.com/companies/posthog)[

![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Supabase

Small (~250) · Glassdoor 4.8/5

Open Source Remote-Friendly Engineering-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/supabase)[

![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

incident.io

Small (~140) · Glassdoor 4.5/5

Transparent Safe to Fail Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/incidentio)[

![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Baseten

Small (~100) · Glassdoor 4.3/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/baseten)[

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Mid (~300) · Glassdoor 4.5/5

Remote-Friendly Open Source Flat Hierarchy Transparent

](https://jobsbyculture.com/companies/n8n)[

![Poolside](https://www.google.com/s2/favicons?domain=poolside.ai&sz=128)

Poolside

Small (~150) · Glassdoor 3.8/5

Engineering-Driven Remote-Friendly Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/poolside)[

![Anyscale](https://www.google.com/s2/favicons?domain=anyscale.com&sz=128)

Anyscale

Medium (~250) · Glassdoor 4.2/5

Engineering-Driven Open Source Flat Hierarchy Ship Fast & Iterate

](https://jobsbyculture.com/companies/anyscale)[

![Descript](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

Descript

Medium (~250) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/descript)[

![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Mercor

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Strong Comp & Equity

](https://jobsbyculture.com/companies/mercor)[

![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Exa

Small (~120) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/exa)[

![Twelve Labs](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

Twelve Labs

Small (~100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Direct Product Impact

](https://jobsbyculture.com/companies/twelve-labs)

## Latest Flat Hierarchy jobs

[![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Billing Support Manager

Cursor (Anysphere) · Philippines

›](https://jobsbyculture.com/jobs/cursor/billing-support-manager) [![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

Python OSS Engineer

LangChain · San Francisco, CA

›](https://jobsbyculture.com/jobs/langchain/python-oss-engineer) [![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Software Engineer - Internal Platform

Baseten · San Francisco

›](https://jobsbyculture.com/jobs/baseten/software-engineer-internal-platform) [![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Technical Recruiter

Mercor · New York City

›](https://jobsbyculture.com/jobs/mercor/technical-recruiter-d1vko) [![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

AI Infrastructure Engineer

Together AI · San Francisco

›](https://jobsbyculture.com/jobs/together/ai-infrastructure-engineer) [![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Customer Solution Architect (AMER)

Supabase · Remote

›](https://jobsbyculture.com/jobs/supabase/customer-solution-architect-amer) [![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Account Executive

Exa · San Francisco, California

›](https://jobsbyculture.com/jobs/exa/account-executive) [![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

Technical Account Manager (Remote US)

n8n · United States

›](https://jobsbyculture.com/jobs/n8n/technical-account-manager-remote-us) [![Twelve Labs](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

Senior Infrastructure Engineer

Twelve Labs · Seoul, South Korea

›](https://jobsbyculture.com/jobs/twelve-labs/senior-infrastructure-engineer) [![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

Business Development Representative

incident.io · San Francisco

›](https://jobsbyculture.com/jobs/incidentio/business-development-representative-9r8xn) [![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

Technical Ex-Founder

PostHog · Remote

›](https://jobsbyculture.com/jobs/posthog/technical-ex-founder) [![Poolside](https://www.google.com/s2/favicons?domain=poolside.ai&sz=128)

Member of Engineering (Pre-training / Data Research)

Poolside · Remote (EMEA/East Coast)

›](https://jobsbyculture.com/jobs/poolside/member-of-engineering-pre-training-data-research) [![Descript](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

Engineering Manager, Agent

Descript · San Francisco, CA or Remote, US

›](https://jobsbyculture.com/jobs/descript/engineering-manager-agent) [![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Developer Marketing Manager

Weaviate · Europe

›](https://jobsbyculture.com/jobs/weaviate/developer-marketing-manager) [![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Software Engineer, Developer Productivity

Cursor (Anysphere) · San Francisco

›](https://jobsbyculture.com/jobs/cursor/software-engineer-developer-productivity) [![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

Enterprise Account Executive (Missouri)

LangChain · St. Louis, MO

›](https://jobsbyculture.com/jobs/langchain/enterprise-account-executive-missouri-jgbbc) [![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Engineering Manager, Cloud Platform

Baseten · San Francisco

›](https://jobsbyculture.com/jobs/baseten/engineering-manager-cloud-platform) [![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Recruiter

Mercor · San Francisco

›](https://jobsbyculture.com/jobs/mercor/recruiter) [![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

AI infrastructure Engineer (SRE) Amsterdam

Together AI · Amsterdam

›](https://jobsbyculture.com/jobs/together/ai-infrastructure-engineer-sre-amsterdam) [![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Support Engineer (AMER)

Supabase · Remote

›](https://jobsbyculture.com/jobs/supabase/support-engineer-amer)

[View all 618 jobs →](https://jobsbyculture.com/jobs?value=flat)

## Browse by role

[Flat Hierarchy Engineering Jobs 258](https://jobsbyculture.com/roles/flat/engineering) [Flat Hierarchy Sales / GTM Jobs 153](https://jobsbyculture.com/roles/flat/sales) [Flat Hierarchy ML / AI Jobs 34](https://jobsbyculture.com/roles/flat/ml-ai) [Flat Hierarchy Product Jobs 26](https://jobsbyculture.com/roles/flat/product) [Flat Hierarchy Marketing Jobs 25](https://jobsbyculture.com/roles/flat/marketing) [Flat Hierarchy HR / People Jobs 18](https://jobsbyculture.com/roles/flat/hr-people) [Flat Hierarchy Operations Jobs 17](https://jobsbyculture.com/roles/flat/operations) [Flat Hierarchy Data Jobs 14](https://jobsbyculture.com/roles/flat/data)

## Other culture values

[⚖️ Work-Life Balance 1646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2269](https://jobsbyculture.com/values/transparent) [🌈 Diverse & Inclusive 2595](https://jobsbyculture.com/values/diverse) [🛡️ Safe to Fail 312](https://jobsbyculture.com/values/psych-safety)

## Related Reading

[Flat Hierarchy Tech Companies Worth Joining →](https://jobsbyculture.com/blog/flat-hierarchy-tech-companies)

---

## Document: Flexible Hours Jobs at AI & Tech Companies | JobsByCulture

# Flexible Hours Jobs at AI & Tech Companies | JobsByCulture

> Browse 325 jobs at 6 companies that value flexible hours. Companies that let you set your own schedule. No mandatory 9-5 — work when you

Source: https://jobsbyculture.com/values/flex-hours
Markdown: https://jobsbyculture.com/values/flex-hours.md
Last updated: 2026-07-14

---
Flexible Hours

# 🕐 _Flexible Hours_ Jobs

Companies that let you set your own schedule. No mandatory 9-5 — work when you're most productive, whether that's early morning or late night.

325

Open Roles

6

Companies

## Companies that value _flexible hours_

[

![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Hugging Face

Mid (~700) · Glassdoor 3.8/5

Open Source Remote-Friendly Flexible Hours Transparent

](https://jobsbyculture.com/companies/huggingface)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Pinecone](https://www.google.com/s2/favicons?domain=pinecone.io&sz=128)

Pinecone

Small (~130) · Glassdoor 4.2/5

Flexible Hours Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/pinecone)[

![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Google DeepMind

Large (~7,000) · Glassdoor 4.2/5

Deep Work / Low Meetings Learning & Growth Engineering-Driven Diverse & Inclusive

](https://jobsbyculture.com/companies/deepmind)[

![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

DeepL

Large (~1,570) · Glassdoor 2.9/5

Work-Life Balance Flexible Hours Diverse & Inclusive Direct Product Impact

](https://jobsbyculture.com/companies/deepl)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)

## Latest Flexible Hours jobs

[![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive- Corporate/Enterprise

HubSpot · Office - Bengaluru, India

›](https://jobsbyculture.com/jobs/hubspot/account-executive-corporate-enterprise) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Advertiser Solutions Vendor Lead - Programmatic and Direct Support

Spotify · London

›](https://jobsbyculture.com/jobs/spotify/advertiser-solutions-vendor-lead-programmatic-and-direct-support) [![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

Developer Growth, API & Agentic AI Products

DeepL · Austin

›](https://jobsbyculture.com/jobs/deepl/developer-growth-api-agentic-ai-products) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Distinguished Designer, Gemini App Systems

Google DeepMind · Mountain View, California, US

›](https://jobsbyculture.com/jobs/deepmind/distinguished-designer-gemini-app-systems) [![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Data/Infrastructure Advocate Engineer - EMEA Remote

Hugging Face · Paris, Île-de-France, France

›](https://jobsbyculture.com/jobs/huggingface/data-infrastructure-advocate-engineer-emea-remote) [![Pinecone](https://www.google.com/s2/favicons?domain=pinecone.io&sz=128)

Senior/Staff Software Engineer, Database Team

Pinecone · New York City

›](https://jobsbyculture.com/jobs/pinecone/senior-staff-software-engineer-database-team) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive (English and Portuguese Fluency Required)

HubSpot · Bogotá, Colombia

›](https://jobsbyculture.com/jobs/hubspot/account-executive-english-and-portuguese-fluency-required) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Analyst, Licensing Finance – FP&A

Spotify · New York, NY

›](https://jobsbyculture.com/jobs/spotify/analyst-licensing-finance-fp-a) [![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

Sales Development Representative | US

DeepL · Austin

›](https://jobsbyculture.com/jobs/deepl/sales-development-representative-us) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Research Engineer, Human Understanding

Google DeepMind · Los Angeles, California, US; Mountain View, California, US

›](https://jobsbyculture.com/jobs/deepmind/research-engineer-human-understanding) [![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Data/Infrastructure Advocate Engineer - US Remote

Hugging Face · New York, New York, United States

›](https://jobsbyculture.com/jobs/huggingface/data-infrastructure-advocate-engineer-us-remote) [![Pinecone](https://www.google.com/s2/favicons?domain=pinecone.io&sz=128)

Senior/Staff Software Engineer, Experience

Pinecone · US Remote

›](https://jobsbyculture.com/jobs/pinecone/senior-staff-software-engineer-experience) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive - Enterprise

HubSpot · Remote - USA

›](https://jobsbyculture.com/jobs/hubspot/account-executive-enterprise) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Analytics Engineer II

Spotify · Stockholm

›](https://jobsbyculture.com/jobs/spotify/analytics-engineer-ii) [![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

Lead Solutions Consultant - Middle East

DeepL · Dubai

›](https://jobsbyculture.com/jobs/deepl/lead-solutions-consultant-middle-east) [![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Research Engineer, Materials Science

Google DeepMind · Mountain View, California, US

›](https://jobsbyculture.com/jobs/deepmind/research-engineer-materials-science) [![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Open-Source Machine Learning Engineer - EMEA Remote

Hugging Face · Paris, Île-de-France, France

›](https://jobsbyculture.com/jobs/huggingface/open-source-machine-learning-engineer-emea-remote) [![Pinecone](https://www.google.com/s2/favicons?domain=pinecone.io&sz=128)

Senior/Staff Software Engineer, Search & Retrieval Infrastructure

Pinecone · US Remote

›](https://jobsbyculture.com/jobs/pinecone/senior-staff-software-engineer-search-retrieval-infrastructure) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive - Latin America

HubSpot · Bogotá, Colombia

›](https://jobsbyculture.com/jobs/hubspot/account-executive-latin-america) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Android Engineer - Experience

Spotify · London

›](https://jobsbyculture.com/jobs/spotify/android-engineer-experience)

[View all 325 jobs →](https://jobsbyculture.com/jobs?value=flex-hours)

## Browse by role

[Flexible Hours Sales / GTM Jobs 148](https://jobsbyculture.com/roles/flex-hours/sales) [Flexible Hours Engineering Jobs 56](https://jobsbyculture.com/roles/flex-hours/engineering) [Flexible Hours ML / AI Jobs 27](https://jobsbyculture.com/roles/flex-hours/ml-ai) [Flexible Hours Marketing Jobs 18](https://jobsbyculture.com/roles/flex-hours/marketing) [Flexible Hours Legal Jobs 8](https://jobsbyculture.com/roles/flex-hours/legal) [Flexible Hours Design Jobs 7](https://jobsbyculture.com/roles/flex-hours/design) [Flexible Hours Data Jobs 6](https://jobsbyculture.com/roles/flex-hours/data) [Flexible Hours HR / People Jobs 5](https://jobsbyculture.com/roles/flex-hours/hr-people)

## Other culture values

[⚖️ Work-Life Balance 1646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1506](https://jobsbyculture.com/values/remote) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2595](https://jobsbyculture.com/values/diverse) [🛡️ Safe to Fail 312](https://jobsbyculture.com/values/psych-safety)

---

## Document: Learning & Growth Jobs at AI & Tech Companies | JobsByCulture

# Learning & Growth Jobs at AI & Tech Companies | JobsByCulture

> Browse 10539 jobs at 70 companies that value learning & growth. Companies that invest in employee growth. Learning stipends, conference budgets, internal tech t

Source: https://jobsbyculture.com/values/learning
Markdown: https://jobsbyculture.com/values/learning.md
Last updated: 2026-07-14

---
Learning & Growth

# 🌱 _Learning & Growth_ Jobs

Companies that invest in employee growth. Learning stipends, conference budgets, internal tech talks, mentorship programs, and time for skill development.

10539

Open Roles

70

Companies

## Companies that value _learning & growth_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Cohere](https://www.google.com/s2/favicons?domain=cohere.com&sz=128)

Cohere

Small (~500) · Glassdoor 3/5

Learning & Growth Engineering-Driven

](https://jobsbyculture.com/companies/cohere)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![Runway](https://www.google.com/s2/favicons?domain=runwayml.com&sz=128)

Runway

Mid (~420) · Glassdoor 4.5/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/runway)[

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Large (~800) · Glassdoor 3.7/5

Ship Fast & Iterate Remote-Friendly Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/apollo)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Pinecone](https://www.google.com/s2/favicons?domain=pinecone.io&sz=128)

Pinecone

Small (~130) · Glassdoor 4.2/5

Flexible Hours Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/pinecone)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Google DeepMind](https://www.google.com/s2/favicons?domain=deepmind.google&sz=128)

Google DeepMind

Large (~7,000) · Glassdoor 4.2/5

Deep Work / Low Meetings Learning & Growth Engineering-Driven Diverse & Inclusive

](https://jobsbyculture.com/companies/deepmind)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

incident.io

Small (~140) · Glassdoor 4.5/5

Transparent Safe to Fail Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/incidentio)[

![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Grafana Labs

Large (~1,700) · Glassdoor 4.1/5

Remote-Friendly Open Source Engineering-Driven Transparent

](https://jobsbyculture.com/companies/grafanalabs)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Fireworks AI](https://www.google.com/s2/favicons?domain=fireworks.ai&sz=128)

Fireworks AI

Small (~100) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Learning & Growth

](https://jobsbyculture.com/companies/fireworksai)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Wayve

Mid (~850) · Glassdoor 4.4/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/wayve)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Contentful

Large (~1,000) · Glassdoor 3.4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/contentful)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Hebbia](https://www.google.com/s2/favicons?domain=hebbia.com&sz=128)

Hebbia

Small (~140) · Glassdoor 4.4/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Wears Many Hats

](https://jobsbyculture.com/companies/hebbia)[

![Cerebras Systems](https://www.google.com/s2/favicons?domain=cerebras.ai&sz=128)

Cerebras Systems

Large (~700) · Glassdoor 4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/cerebras)[

![Poolside](https://www.google.com/s2/favicons?domain=poolside.ai&sz=128)

Poolside

Small (~150) · Glassdoor 3.8/5

Engineering-Driven Remote-Friendly Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/poolside)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Webflow

Mid (~800) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Remote-Friendly Work-Life Balance

](https://jobsbyculture.com/companies/webflow)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Abridge

Mid (~500) · Glassdoor 4.7/5

Mission-Driven Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/abridge)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Ironclad

Mid (~800) · Glassdoor 4.4/5

Work-Life Balance Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/ironclad)[

![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Hippocratic AI

Small (~264) · Glassdoor 3.9/5

Mission-Driven Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/hippocratic-ai)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)[

![Bizzdesign](https://www.google.com/s2/favicons?domain=bizzdesign.com&sz=128)

Bizzdesign

Mid (~500) · Glassdoor 4.2/5

Learning & Growth Direct Product Impact Diverse & Inclusive Ship Fast & Iterate

](https://jobsbyculture.com/companies/bizzdesign)[

![Stability AI](https://www.google.com/s2/favicons?domain=stability.ai&sz=128)

Stability AI

Mid (~190) · Glassdoor 3.1/5

Open Source Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/stabilityai)[

![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Lightmatter

Mid (~300) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lightmatter)[

![Benchling](https://www.google.com/s2/favicons?domain=benchling.com&sz=128)

Benchling

Mid (~800) · Glassdoor 3.5/5

Engineering-Driven Mission-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/benchling)[

![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

LaunchDarkly

Mid (~590) · Glassdoor 3.8/5

Engineering-Driven Work-Life Balance Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/launchdarkly)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)[

![DevRev](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

DevRev

Mid (~800) · Glassdoor 4.1/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/devrev)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)

## Latest Learning & Growth jobs

[![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

ソリューションアーキテクト (プリセールス)

Databricks · Japan

›](https://jobsbyculture.com/jobs/databricks/-1izcx) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Technical Program Manager, Compute Infrastructure

OpenAI · San Francisco

›](https://jobsbyculture.com/jobs/openai/technical-program-manager-compute-infrastructure) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, AI Sales (Grower)

Stripe · San Francisco, CA

›](https://jobsbyculture.com/jobs/stripe/account-executive-ai-sales-grower) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

AI Research Engineer - Datadog AI Research (DAIR)

Datadog · Paris, France

›](https://jobsbyculture.com/jobs/datadog/ai-research-engineer-datadog-ai-research-dair) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Senior Solution Engineer

Snowflake · US-NC-Remote

›](https://jobsbyculture.com/jobs/snowflake/senior-solution-engineer-jj4kz) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Account Executive - ASEAN

Anthropic · Sydney, Australia

›](https://jobsbyculture.com/jobs/anthropic/account-executive-asean) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Account Development Representative

MongoDB · Austin

›](https://jobsbyculture.com/jobs/mongodb/account-development-representative-op8z7) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Account Executive, Auth0

Okta · Tokyo, Japan

›](https://jobsbyculture.com/jobs/okta/account-executive-auth0) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Staff Software Engineer, AI Platform

Harvey · San Francisco

›](https://jobsbyculture.com/jobs/harvey/staff-software-engineer-ai-platform-67uz9) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Austin, TX Strategic Cuisines District Manager- Spanish

Toast · Austin, TX

›](https://jobsbyculture.com/jobs/toast/austin-tx-strategic-cuisines-district-manager-spanish) [![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Account Development Representative - BeNeLux

Samsara · Remote - Netherlands

›](https://jobsbyculture.com/jobs/samsara/account-development-representative-benelux) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Account Executive, Mid Market

Brex · Seattle, Washington, United States

›](https://jobsbyculture.com/jobs/brex/account-executive-mid-market-oowyb) [![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Account Executive, SLED (Austin)

Cloudflare · Distributed

›](https://jobsbyculture.com/jobs/cloudflare/account-executive-sled-austin) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Account Executive - Retail

Celonis · Remote, US, California

›](https://jobsbyculture.com/jobs/celonis/account-executive-retail) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Account Manager

Adyen · Berlin

›](https://jobsbyculture.com/jobs/adyen/account-manager-q73pv) [![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Acquisition Account Manager, Mid-Market EMEA

Reddit · London, United Kingdom

›](https://jobsbyculture.com/jobs/reddit/acquisition-account-manager-mid-market-emea) [![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

AI Applications Ops Lead, GPS

Scale AI · Doha, Qatar; London, UK

›](https://jobsbyculture.com/jobs/scale/ai-applications-ops-lead-gps) [![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

Social Media Manager

ElevenLabs · London

›](https://jobsbyculture.com/jobs/elevenlabs/social-media-manager) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Account Executive DACH

Navan · Berlin, Germany

›](https://jobsbyculture.com/jobs/navan/account-executive-dach) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive- Corporate/Enterprise

HubSpot · Office - Bengaluru, India

›](https://jobsbyculture.com/jobs/hubspot/account-executive-corporate-enterprise)

[View all 10539 jobs →](https://jobsbyculture.com/jobs?value=learning)

## Browse by role

[Learning & Growth Engineering Jobs 3417](https://jobsbyculture.com/roles/learning/engineering) [Learning & Growth Sales / GTM Jobs 2906](https://jobsbyculture.com/roles/learning/sales) [Learning & Growth Product Jobs 637](https://jobsbyculture.com/roles/learning/product) [Learning & Growth Marketing Jobs 425](https://jobsbyculture.com/roles/learning/marketing) [Learning & Growth ML / AI Jobs 326](https://jobsbyculture.com/roles/learning/ml-ai) [Learning & Growth Operations Jobs 285](https://jobsbyculture.com/roles/learning/operations) [Learning & Growth Data Jobs 273](https://jobsbyculture.com/roles/learning/data) [Learning & Growth HR / People Jobs 207](https://jobsbyculture.com/roles/learning/hr-people)

## Other culture values

[⚖️ Work-Life Balance 1646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2595](https://jobsbyculture.com/values/diverse)

## Related Reading

[Best AI Startups to Join in 2026 →](https://jobsbyculture.com/blog/best-ai-startups-to-join-2026)

---

## Document: Wears Many Hats Jobs at AI & Tech Companies | JobsByCulture

# Wears Many Hats Jobs at AI & Tech Companies | JobsByCulture

> Browse 881 jobs at 24 companies that value wears many hats. Companies where you

Source: https://jobsbyculture.com/values/many-hats
Markdown: https://jobsbyculture.com/values/many-hats.md
Last updated: 2026-07-14

---
Wears Many Hats

# 🧩 _Wears Many Hats_ Jobs

Companies where you'll wear multiple hats. Ideal for generalists who want breadth — you might build features, talk to customers, and shape product strategy all in one week.

881

Open Roles

24

Companies

## Companies that value _wears many hats_

[

![Mistral AI](https://www.google.com/s2/favicons?domain=mistral.ai&sz=128)

Mistral AI

Small (~100) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/mistral)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Vast AI](https://www.google.com/s2/favicons?domain=vast.ai&sz=128)

Vast AI

Small (~30) · Glassdoor 5/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/vast)[

![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Modal

Small (~110) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Deep Work / Low Meetings Open Source

](https://jobsbyculture.com/companies/modal)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

Small (~200) · Glassdoor 4/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/replit)[

![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

PostHog

Small (~170) · Glassdoor 4.3/5

Open Source Transparent Async-First Remote-Friendly

](https://jobsbyculture.com/companies/posthog)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Pylon](https://www.google.com/s2/favicons?domain=usepylon.com&sz=128)

Pylon

Small (~70) · Glassdoor 3/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/pylon)[

![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Baseten

Small (~100) · Glassdoor 4.3/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/baseten)[

![Fireworks AI](https://www.google.com/s2/favicons?domain=fireworks.ai&sz=128)

Fireworks AI

Small (~100) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Learning & Growth

](https://jobsbyculture.com/companies/fireworksai)[

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Mid (~300) · Glassdoor 4.5/5

Remote-Friendly Open Source Flat Hierarchy Transparent

](https://jobsbyculture.com/companies/n8n)[

![Hebbia](https://www.google.com/s2/favicons?domain=hebbia.com&sz=128)

Hebbia

Small (~140) · Glassdoor 4.4/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Wears Many Hats

](https://jobsbyculture.com/companies/hebbia)[

![Poolside](https://www.google.com/s2/favicons?domain=poolside.ai&sz=128)

Poolside

Small (~150) · Glassdoor 3.8/5

Engineering-Driven Remote-Friendly Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/poolside)[

![Descript](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

Descript

Medium (~250) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/descript)[

![Granola](https://www.google.com/s2/favicons?domain=granola.ai&sz=128)

Granola

Small (~50) · Glassdoor 5/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/granola)[

![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Hippocratic AI

Small (~264) · Glassdoor 3.9/5

Mission-Driven Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/hippocratic-ai)[

![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Exa

Small (~120) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/exa)[

![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Cartesia

Small (~90) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/cartesia)[

![WorkOS](https://www.google.com/s2/favicons?domain=workos.com&sz=128)

WorkOS

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/workos)[

![Cryptio](https://www.google.com/s2/favicons?domain=cryptio.co&sz=128)

Cryptio

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/cryptio)[

![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Goodfire

Small (~50) · Glassdoor null/5

Engineering-Driven Ethical AI / Safety Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/goodfire)[

![Kindred](https://www.google.com/s2/favicons?domain=livekindred.com&sz=128)

Kindred

Small (~50) · Glassdoor null/5

Direct Product Impact Ship Fast & Iterate Engineering-Driven Wears Many Hats

](https://jobsbyculture.com/companies/kindred)

## Latest Wears Many Hats jobs

[![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Billing Support Manager

Cursor (Anysphere) · Philippines

›](https://jobsbyculture.com/jobs/cursor/billing-support-manager) [![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Design Engineer

Replit · Foster City, CA

›](https://jobsbyculture.com/jobs/replit/design-engineer) [![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

Python OSS Engineer

LangChain · San Francisco, CA

›](https://jobsbyculture.com/jobs/langchain/python-oss-engineer) [![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Software Engineer - Internal Platform

Baseten · San Francisco

›](https://jobsbyculture.com/jobs/baseten/software-engineer-internal-platform) [![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Research Scientist, Speech Technologies

Hippocratic AI · Palo Alto

›](https://jobsbyculture.com/jobs/hippocratic-ai/research-scientist-speech-technologies) [![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

AI Infrastructure Engineer

Together AI · San Francisco

›](https://jobsbyculture.com/jobs/together/ai-infrastructure-engineer) [![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Senior Product Recruiter

Suno · NYC

›](https://jobsbyculture.com/jobs/suno/senior-product-recruiter) [![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Account Executive

Exa · San Francisco, California

›](https://jobsbyculture.com/jobs/exa/account-executive) [![Fireworks AI](https://www.google.com/s2/favicons?domain=fireworks.ai&sz=128)

AI Field Engineer - AI Natives

Fireworks AI · New York, NY; Remote, USA; San Mateo, CA

›](https://jobsbyculture.com/jobs/fireworksai/ai-field-engineer-ai-natives) [![Pylon](https://www.google.com/s2/favicons?domain=usepylon.com&sz=128)

Account Executive

Pylon · San Francisco

›](https://jobsbyculture.com/jobs/pylon/account-executive) [![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Member of Technical Staff - Systems

Modal · New York

›](https://jobsbyculture.com/jobs/modal/member-of-technical-staff-systems-bzjla) [![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Software Engineer, Product

Cartesia · \*HQ - San Francisco, CA

›](https://jobsbyculture.com/jobs/cartesia/software-engineer-product) [![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

Technical Account Manager (Remote US)

n8n · United States

›](https://jobsbyculture.com/jobs/n8n/technical-account-manager-remote-us) [![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Account Executive, Life Sciences

Goodfire · San Francisco, CA

›](https://jobsbyculture.com/jobs/goodfire/account-executive-life-sciences) [![WorkOS](https://www.google.com/s2/favicons?domain=workos.com&sz=128)

Site Reliability Engineer

WorkOS · United States & Canada

›](https://jobsbyculture.com/jobs/workos/site-reliability-engineer) [![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

Technical Ex-Founder

PostHog · Remote

›](https://jobsbyculture.com/jobs/posthog/technical-ex-founder) [![Granola](https://www.google.com/s2/favicons?domain=granola.ai&sz=128)

Account Executive, Mid Market

Granola · San Francisco Office

›](https://jobsbyculture.com/jobs/granola/account-executive-mid-market) [![Poolside](https://www.google.com/s2/favicons?domain=poolside.ai&sz=128)

Member of Engineering (Pre-training / Data Research)

Poolside · Remote (EMEA/East Coast)

›](https://jobsbyculture.com/jobs/poolside/member-of-engineering-pre-training-data-research) [![Descript](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

Engineering Manager, Agent

Descript · San Francisco, CA or Remote, US

›](https://jobsbyculture.com/jobs/descript/engineering-manager-agent) [![Cryptio](https://www.google.com/s2/favicons?domain=cryptio.co&sz=128)

Senior Software Engineer – Intelligence

Cryptio · Canada East Coast

›](https://jobsbyculture.com/jobs/cryptio/senior-software-engineer-intelligence)

[View all 881 jobs →](https://jobsbyculture.com/jobs?value=many-hats)

## Browse by role

[Wears Many Hats Engineering Jobs 345](https://jobsbyculture.com/roles/many-hats/engineering) [Wears Many Hats Sales / GTM Jobs 216](https://jobsbyculture.com/roles/many-hats/sales) [Wears Many Hats Marketing Jobs 51](https://jobsbyculture.com/roles/many-hats/marketing) [Wears Many Hats ML / AI Jobs 36](https://jobsbyculture.com/roles/many-hats/ml-ai) [Wears Many Hats Product Jobs 27](https://jobsbyculture.com/roles/many-hats/product) [Wears Many Hats Operations Jobs 25](https://jobsbyculture.com/roles/many-hats/operations) [Wears Many Hats HR / People Jobs 25](https://jobsbyculture.com/roles/many-hats/hr-people) [Wears Many Hats Data Jobs 22](https://jobsbyculture.com/roles/many-hats/data)

## Other culture values

[⚖️ Work-Life Balance 1646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2595](https://jobsbyculture.com/values/diverse)

---

## Document: Open Source Jobs at AI & Tech Companies | JobsByCulture

# Open Source Jobs at AI & Tech Companies | JobsByCulture

> Browse 1689 jobs at 21 companies that value open source. Companies that contribute to and value open source. Engineers get time for OSS work, the company open-s

Source: https://jobsbyculture.com/values/open-source
Markdown: https://jobsbyculture.com/values/open-source.md
Last updated: 2026-07-14

---
Open Source

# 🔓 _Open Source_ Jobs

Companies that contribute to and value open source. Engineers get time for OSS work, the company open-sources internal tools, and community contribution is respected.

1689

Open Roles

21

Companies

## Companies that value _open source_

[

![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Hugging Face

Mid (~700) · Glassdoor 3.8/5

Open Source Remote-Friendly Flexible Hours Transparent

](https://jobsbyculture.com/companies/huggingface)[

![Mistral AI](https://www.google.com/s2/favicons?domain=mistral.ai&sz=128)

Mistral AI

Small (~100) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/mistral)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

Together AI

Small (~150) · Glassdoor 4.1/5

Open Source Engineering-Driven Learning & Growth Flat Hierarchy

](https://jobsbyculture.com/companies/together)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Modal

Small (~110) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Deep Work / Low Meetings Open Source

](https://jobsbyculture.com/companies/modal)[

![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Weaviate

Small (~110) · Glassdoor 4.3/5

Remote-Friendly Async-First Flat Hierarchy Open Source

](https://jobsbyculture.com/companies/weaviate)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

PostHog

Small (~170) · Glassdoor 4.3/5

Open Source Transparent Async-First Remote-Friendly

](https://jobsbyculture.com/companies/posthog)[

![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Supabase

Small (~250) · Glassdoor 4.8/5

Open Source Remote-Friendly Engineering-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/supabase)[

![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Grafana Labs

Large (~1,700) · Glassdoor 4.1/5

Remote-Friendly Open Source Engineering-Driven Transparent

](https://jobsbyculture.com/companies/grafanalabs)[

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Mid (~300) · Glassdoor 4.5/5

Remote-Friendly Open Source Flat Hierarchy Transparent

](https://jobsbyculture.com/companies/n8n)[

![Anyscale](https://www.google.com/s2/favicons?domain=anyscale.com&sz=128)

Anyscale

Medium (~250) · Glassdoor 4.2/5

Engineering-Driven Open Source Flat Hierarchy Ship Fast & Iterate

](https://jobsbyculture.com/companies/anyscale)[

![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

Chainguard

Mid (~350) · Glassdoor 4.5/5

Remote-Friendly Open Source Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/chainguard)[

![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

GitLab

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Async-First Transparent Open Source

](https://jobsbyculture.com/companies/gitlab)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Writer](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

Writer

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Open Source

](https://jobsbyculture.com/companies/writer)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Stability AI](https://www.google.com/s2/favicons?domain=stability.ai&sz=128)

Stability AI

Mid (~190) · Glassdoor 3.1/5

Open Source Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/stabilityai)[

![Automattic](https://www.google.com/s2/favicons?domain=automattic.com&sz=128)

Automattic

Large (~1,900) · Glassdoor 2.9/5

Remote-Friendly Open Source Async-First

](https://jobsbyculture.com/companies/automattic)

## Latest Open Source jobs

[![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Account Development Representative

MongoDB · Austin

›](https://jobsbyculture.com/jobs/mongodb/account-development-representative-op8z7) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Acquisition Manager

Airbnb · Berlin, Germany

›](https://jobsbyculture.com/jobs/airbnb/acquisition-manager-h2pop) [![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

ABM Manager, Global Public Sector

Elastic · United States

›](https://jobsbyculture.com/jobs/elastic/abm-manager-global-public-sector) [![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

Account Executive - Italy

GitLab · Remote, Italy

›](https://jobsbyculture.com/jobs/gitlab/account-executive-italy) [![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Account Executive

Twilio · Remote - Australia

›](https://jobsbyculture.com/jobs/twilio/account-executive) [![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Commercial Account Executive, Acquisition | East | Remote

Grafana Labs · United States (Remote)

›](https://jobsbyculture.com/jobs/grafanalabs/commercial-account-executive-acquisition-east-remote) [![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

Python OSS Engineer

LangChain · San Francisco, CA

›](https://jobsbyculture.com/jobs/langchain/python-oss-engineer) [![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

AI Solutions Engineer

Chainguard · United States - Remote

›](https://jobsbyculture.com/jobs/chainguard/ai-solutions-engineer) [![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Account Executive, Majors

Vercel · Hybrid - London

›](https://jobsbyculture.com/jobs/vercel/account-executive-majors) [![Together AI](https://www.google.com/s2/favicons?domain=together.ai&sz=128)

AI Infrastructure Engineer

Together AI · San Francisco

›](https://jobsbyculture.com/jobs/together/ai-infrastructure-engineer) [![Writer](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

Software engineer, generative AI

Writer · San Francisco, CA

›](https://jobsbyculture.com/jobs/writer/software-engineer-generative-ai) [![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Customer Solution Architect (AMER)

Supabase · Remote

›](https://jobsbyculture.com/jobs/supabase/customer-solution-architect-amer) [![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Member of Technical Staff - Systems

Modal · New York

›](https://jobsbyculture.com/jobs/modal/member-of-technical-staff-systems-bzjla) [![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

Technical Account Manager (Remote US)

n8n · United States

›](https://jobsbyculture.com/jobs/n8n/technical-account-manager-remote-us) [![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

Technical Ex-Founder

PostHog · Remote

›](https://jobsbyculture.com/jobs/posthog/technical-ex-founder) [![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Data/Infrastructure Advocate Engineer - EMEA Remote

Hugging Face · Paris, Île-de-France, France

›](https://jobsbyculture.com/jobs/huggingface/data-infrastructure-advocate-engineer-emea-remote) [![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Developer Marketing Manager

Weaviate · Europe

›](https://jobsbyculture.com/jobs/weaviate/developer-marketing-manager) [![Stability AI](https://www.google.com/s2/favicons?domain=stability.ai&sz=128)

Research Scientist, Professional Creative Workflows

Stability AI · Remote

›](https://jobsbyculture.com/jobs/stabilityai/research-scientist-professional-creative-workflows) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Account Development Representative

MongoDB · New York City

›](https://jobsbyculture.com/jobs/mongodb/account-development-representative-xby01) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Acquisition Manager

Airbnb · Milan, Italy

›](https://jobsbyculture.com/jobs/airbnb/acquisition-manager-d4rxa)

[View all 1689 jobs →](https://jobsbyculture.com/jobs?value=open-source)

## Browse by role

[Open Source Engineering Jobs 604](https://jobsbyculture.com/roles/open-source/engineering) [Open Source Sales / GTM Jobs 481](https://jobsbyculture.com/roles/open-source/sales) [Open Source Product Jobs 90](https://jobsbyculture.com/roles/open-source/product) [Open Source Marketing Jobs 61](https://jobsbyculture.com/roles/open-source/marketing) [Open Source Operations Jobs 50](https://jobsbyculture.com/roles/open-source/operations) [Open Source ML / AI Jobs 42](https://jobsbyculture.com/roles/open-source/ml-ai) [Open Source Data Jobs 35](https://jobsbyculture.com/roles/open-source/data) [Open Source Legal Jobs 25](https://jobsbyculture.com/roles/open-source/legal)

## Other culture values

[⚖️ Work-Life Balance 1646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2595](https://jobsbyculture.com/values/diverse)

## Related Reading

[Open Source AI Companies Hiring in 2026 →](https://jobsbyculture.com/blog/open-source-ai-companies-hiring-2026)

---

## Document: Direct Product Impact Jobs at AI & Tech Companies | JobsByCulture

# Direct Product Impact Jobs at AI & Tech Companies | JobsByCulture

> Browse 10016 jobs at 79 companies that value direct product impact. Companies where individual contributors can see the direct impact of their work. Small teams

Source: https://jobsbyculture.com/values/product-impact
Markdown: https://jobsbyculture.com/values/product-impact.md
Last updated: 2026-07-14

---
Direct Product Impact

# 🎯 _Direct Product Impact_ Jobs

Companies where individual contributors can see the direct impact of their work. Small teams shipping to millions of users, with clear metrics and ownership.

10016

Open Roles

79

Companies

## Companies that value _direct product impact_

[

![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

Databricks

Large (~7,000) · Glassdoor 4.1/5

Engineering-Driven Learning & Growth Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/databricks)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Linear

Small (~80) · Glassdoor 4.6/5

Deep Work / Low Meetings Remote-Friendly Async-First Engineering-Driven

](https://jobsbyculture.com/companies/linear)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![Runway](https://www.google.com/s2/favicons?domain=runwayml.com&sz=128)

Runway

Mid (~420) · Glassdoor 4.5/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/runway)[

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Large (~800) · Glassdoor 3.7/5

Ship Fast & Iterate Remote-Friendly Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/apollo)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Pinecone](https://www.google.com/s2/favicons?domain=pinecone.io&sz=128)

Pinecone

Small (~130) · Glassdoor 4.2/5

Flexible Hours Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/pinecone)[

![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Modal

Small (~110) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Deep Work / Low Meetings Open Source

](https://jobsbyculture.com/companies/modal)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

Small (~200) · Glassdoor 4/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/replit)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Pylon](https://www.google.com/s2/favicons?domain=usepylon.com&sz=128)

Pylon

Small (~70) · Glassdoor 3/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/pylon)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Airtable](https://www.google.com/s2/favicons?domain=airtable.com&sz=128)

Airtable

Mid (~900) · Glassdoor 3.8/5

Direct Product Impact Engineering-Driven Learning & Growth Diverse & Inclusive

](https://jobsbyculture.com/companies/airtable)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Baseten

Small (~100) · Glassdoor 4.3/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/baseten)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Wayve

Mid (~850) · Glassdoor 4.4/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/wayve)[

![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

DeepL

Large (~1,570) · Glassdoor 2.9/5

Work-Life Balance Flexible Hours Diverse & Inclusive Direct Product Impact

](https://jobsbyculture.com/companies/deepl)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Contentful](https://www.google.com/s2/favicons?domain=contentful.com&sz=128)

Contentful

Large (~1,000) · Glassdoor 3.4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/contentful)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Hebbia](https://www.google.com/s2/favicons?domain=hebbia.com&sz=128)

Hebbia

Small (~140) · Glassdoor 4.4/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Wears Many Hats

](https://jobsbyculture.com/companies/hebbia)[

![Cerebras Systems](https://www.google.com/s2/favicons?domain=cerebras.ai&sz=128)

Cerebras Systems

Large (~700) · Glassdoor 4/5

Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/cerebras)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![Granola](https://www.google.com/s2/favicons?domain=granola.ai&sz=128)

Granola

Small (~50) · Glassdoor 5/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/granola)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Webflow

Mid (~800) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Remote-Friendly Work-Life Balance

](https://jobsbyculture.com/companies/webflow)[

![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

MongoDB

Large (~5,500) · Glassdoor 4/5

Open Source Engineering-Driven Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/mongodb)[

![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Abridge

Mid (~500) · Glassdoor 4.7/5

Mission-Driven Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/abridge)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Lambda

Mid (~500) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/lambda)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Toast

Large (~6,500) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/toast)[

![Amplitude](https://www.google.com/s2/favicons?domain=amplitude.com&sz=128)

Amplitude

Mid (~700) · Glassdoor 3.8/5

Engineering-Driven Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/amplitude)[

![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Okta

Large (~6,000) · Glassdoor 3.7/5

Learning & Growth Strong Comp & Equity Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/okta)[

![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Ironclad

Mid (~800) · Glassdoor 4.4/5

Work-Life Balance Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/ironclad)[

![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Exa

Small (~120) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/exa)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Sensor Tower](https://www.google.com/s2/favicons?domain=sensortower.com&sz=128)

Sensor Tower

Mid (~430) · Glassdoor 3.3/5

Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/sensor-tower)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Instacart](https://www.google.com/s2/favicons?domain=instacart.com&sz=128)

Instacart

Large (~3,000) · Glassdoor 3.6/5

Direct Product Impact Learning & Growth Diverse & Inclusive Strong Comp & Equity

](https://jobsbyculture.com/companies/instacart)[

![Bizzdesign](https://www.google.com/s2/favicons?domain=bizzdesign.com&sz=128)

Bizzdesign

Mid (~500) · Glassdoor 4.2/5

Learning & Growth Direct Product Impact Diverse & Inclusive Ship Fast & Iterate

](https://jobsbyculture.com/companies/bizzdesign)[

![Figure AI](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

Figure AI

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/figureai)[

![Twelve Labs](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

Twelve Labs

Small (~100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Direct Product Impact

](https://jobsbyculture.com/companies/twelve-labs)[

![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Cartesia

Small (~90) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/cartesia)[

![Character AI](https://www.google.com/s2/favicons?domain=character.ai&sz=128)

Character AI

Mid (~250) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/character)[

![Stability AI](https://www.google.com/s2/favicons?domain=stability.ai&sz=128)

Stability AI

Mid (~190) · Glassdoor 3.1/5

Open Source Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/stabilityai)[

![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Lightmatter

Mid (~300) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lightmatter)[

![Benchling](https://www.google.com/s2/favicons?domain=benchling.com&sz=128)

Benchling

Mid (~800) · Glassdoor 3.5/5

Engineering-Driven Mission-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/benchling)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

LaunchDarkly

Mid (~590) · Glassdoor 3.8/5

Engineering-Driven Work-Life Balance Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/launchdarkly)[

![WorkOS](https://www.google.com/s2/favicons?domain=workos.com&sz=128)

WorkOS

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/workos)[

![Cryptio](https://www.google.com/s2/favicons?domain=cryptio.co&sz=128)

Cryptio

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/cryptio)[

![Goodfire](https://www.google.com/s2/favicons?domain=goodfire.ai&sz=128)

Goodfire

Small (~50) · Glassdoor null/5

Engineering-Driven Ethical AI / Safety Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/goodfire)[

![DevRev](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

DevRev

Mid (~800) · Glassdoor 4.1/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/devrev)[

![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Reddit

Large (~2,000+) · Glassdoor 3.8/5

Engineering-Driven Strong Comp & Equity Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/reddit)[

![Kindred](https://www.google.com/s2/favicons?domain=livekindred.com&sz=128)

Kindred

Small (~50) · Glassdoor null/5

Direct Product Impact Ship Fast & Iterate Engineering-Driven Wears Many Hats

](https://jobsbyculture.com/companies/kindred)

## Latest Direct Product Impact jobs

[![Databricks](https://www.google.com/s2/favicons?domain=databricks.com&sz=128)

ソリューションアーキテクト (プリセールス)

Databricks · Japan

›](https://jobsbyculture.com/jobs/databricks/-1izcx) [![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Technical Program Manager, Compute Infrastructure

OpenAI · San Francisco

›](https://jobsbyculture.com/jobs/openai/technical-program-manager-compute-infrastructure) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, AI Sales (Grower)

Stripe · San Francisco, CA

›](https://jobsbyculture.com/jobs/stripe/account-executive-ai-sales-grower) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

AI Research Engineer - Datadog AI Research (DAIR)

Datadog · Paris, France

›](https://jobsbyculture.com/jobs/datadog/ai-research-engineer-datadog-ai-research-dair) [![MongoDB](https://www.google.com/s2/favicons?domain=mongodb.com&sz=128)

Account Development Representative

MongoDB · Austin

›](https://jobsbyculture.com/jobs/mongodb/account-development-representative-op8z7) [![Okta](https://www.google.com/s2/favicons?domain=okta.com&sz=128)

Account Executive, Auth0

Okta · Tokyo, Japan

›](https://jobsbyculture.com/jobs/okta/account-executive-auth0) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Staff Software Engineer, AI Platform

Harvey · San Francisco

›](https://jobsbyculture.com/jobs/harvey/staff-software-engineer-ai-platform-67uz9) [![Toast](https://www.google.com/s2/favicons?domain=toasttab.com&sz=128)

Austin, TX Strategic Cuisines District Manager- Spanish

Toast · Austin, TX

›](https://jobsbyculture.com/jobs/toast/austin-tx-strategic-cuisines-district-manager-spanish) [![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Account Development Representative - BeNeLux

Samsara · Remote - Netherlands

›](https://jobsbyculture.com/jobs/samsara/account-development-representative-benelux) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Administrative Business Partner - Security

Palantir · Palo Alto, CA

›](https://jobsbyculture.com/jobs/palantir/administrative-business-partner-security-x83sp) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Account Executive, Mid Market

Brex · Seattle, Washington, United States

›](https://jobsbyculture.com/jobs/brex/account-executive-mid-market-oowyb) [![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Account Executive, SLED (Austin)

Cloudflare · Distributed

›](https://jobsbyculture.com/jobs/cloudflare/account-executive-sled-austin) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Account Executive - Retail

Celonis · Remote, US, California

›](https://jobsbyculture.com/jobs/celonis/account-executive-retail) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Account Manager

Adyen · Berlin

›](https://jobsbyculture.com/jobs/adyen/account-manager-q73pv) [![Reddit](https://www.google.com/s2/favicons?domain=reddit.com&sz=128)

Acquisition Account Manager, Mid-Market EMEA

Reddit · London, United Kingdom

›](https://jobsbyculture.com/jobs/reddit/acquisition-account-manager-mid-market-emea) [![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

AI Applications Ops Lead, GPS

Scale AI · Doha, Qatar; London, UK

›](https://jobsbyculture.com/jobs/scale/ai-applications-ops-lead-gps) [![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

Social Media Manager

ElevenLabs · London

›](https://jobsbyculture.com/jobs/elevenlabs/social-media-manager) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Account Executive DACH

Navan · Berlin, Germany

›](https://jobsbyculture.com/jobs/navan/account-executive-dach) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Account Executive, Emerging Enterprise (Berlin, Germany)

Figma · Berlin, Germany

›](https://jobsbyculture.com/jobs/figma/account-executive-emerging-enterprise-berlin-germany) [![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Account Executive - Berlin (x/f/m)

Doctolib · Berlin, Berlin, Germany

›](https://jobsbyculture.com/jobs/doctolib/account-executive-berlin-x-f-m)

[View all 10016 jobs →](https://jobsbyculture.com/jobs?value=product-impact)

## Browse by role

[Direct Product Impact Engineering Jobs 3327](https://jobsbyculture.com/roles/product-impact/engineering) [Direct Product Impact Sales / GTM Jobs 2717](https://jobsbyculture.com/roles/product-impact/sales) [Direct Product Impact Product Jobs 570](https://jobsbyculture.com/roles/product-impact/product) [Direct Product Impact Marketing Jobs 398](https://jobsbyculture.com/roles/product-impact/marketing) [Direct Product Impact Operations Jobs 282](https://jobsbyculture.com/roles/product-impact/operations) [Direct Product Impact ML / AI Jobs 262](https://jobsbyculture.com/roles/product-impact/ml-ai) [Direct Product Impact Data Jobs 241](https://jobsbyculture.com/roles/product-impact/data) [Direct Product Impact HR / People Jobs 210](https://jobsbyculture.com/roles/product-impact/hr-people)

## Other culture values

[⚖️ Work-Life Balance 1646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2595](https://jobsbyculture.com/values/diverse)

## Related Reading

[Best AI Companies to Work For (2026) →](https://jobsbyculture.com/blog/best-ai-companies-to-work-for-2026)

---

## Document: Safe to Fail Jobs at AI & Tech Companies | JobsByCulture

# Safe to Fail Jobs at AI & Tech Companies | JobsByCulture

> Browse 312 jobs at 4 companies that value safe to fail. Companies where it

Source: https://jobsbyculture.com/values/psych-safety
Markdown: https://jobsbyculture.com/values/psych-safety.md
Last updated: 2026-07-14

---
Safe to Fail

# 🛡️ _Safe to Fail_ Jobs

Companies where it's genuinely safe to take risks, make mistakes, and speak up. Blameless post-mortems, experimentation culture, and supportive management.

312

Open Roles

4

Companies

## Companies that value _safe to fail_

[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Weaviate

Small (~110) · Glassdoor 4.3/5

Remote-Friendly Async-First Flat Hierarchy Open Source

](https://jobsbyculture.com/companies/weaviate)[

![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

incident.io

Small (~140) · Glassdoor 4.5/5

Transparent Safe to Fail Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/incidentio)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)

## Latest Safe to Fail jobs

[![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive- Corporate/Enterprise

HubSpot · Office - Bengaluru, India

›](https://jobsbyculture.com/jobs/hubspot/account-executive-corporate-enterprise) [![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Fraud and Abuse Operations Analyst

Plaid · San Francisco HQ

›](https://jobsbyculture.com/jobs/plaid/fraud-and-abuse-operations-analyst) [![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

Business Development Representative

incident.io · San Francisco

›](https://jobsbyculture.com/jobs/incidentio/business-development-representative-9r8xn) [![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Developer Marketing Manager

Weaviate · Europe

›](https://jobsbyculture.com/jobs/weaviate/developer-marketing-manager) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive (English and Portuguese Fluency Required)

HubSpot · Bogotá, Colombia

›](https://jobsbyculture.com/jobs/hubspot/account-executive-english-and-portuguese-fluency-required) [![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Lead Legal Operations Manager

Plaid · San Francisco HQ

›](https://jobsbyculture.com/jobs/plaid/lead-legal-operations-manager) [![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

Enterprise Sales Manager

incident.io · San Francisco

›](https://jobsbyculture.com/jobs/incidentio/enterprise-sales-manager) [![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Developer Advocate Intern

Weaviate · Europe

›](https://jobsbyculture.com/jobs/weaviate/developer-advocate-intern) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive - Enterprise

HubSpot · Remote - USA

›](https://jobsbyculture.com/jobs/hubspot/account-executive-enterprise) [![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Staff Site Reliability Engineer - Release Engineering

Plaid · New York City Office

›](https://jobsbyculture.com/jobs/plaid/staff-site-reliability-engineer-release-engineering) [![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

Platform Engineer

incident.io · London

›](https://jobsbyculture.com/jobs/incidentio/platform-engineer) [![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Product Manager, Database

Weaviate · Europe

›](https://jobsbyculture.com/jobs/weaviate/product-manager-database) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive - Latin America

HubSpot · Bogotá, Colombia

›](https://jobsbyculture.com/jobs/hubspot/account-executive-latin-america) [![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Staff Software Engineer - AI Applications

Plaid · San Francisco HQ

›](https://jobsbyculture.com/jobs/plaid/staff-software-engineer-ai-applications) [![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

Product Engineer

incident.io · London

›](https://jobsbyculture.com/jobs/incidentio/product-engineer) [![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Applied Research Intern

Weaviate · Europe

›](https://jobsbyculture.com/jobs/weaviate/applied-research-intern) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive (Mexican territory, Colombia based)

HubSpot · Remote - Colombia

›](https://jobsbyculture.com/jobs/hubspot/account-executive-mexican-territory-colombia-based) [![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Sales Manager, Fintech

Plaid · New York City Office

›](https://jobsbyculture.com/jobs/plaid/sales-manager-fintech) [![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

Strategic Account Executive

incident.io · New York

›](https://jobsbyculture.com/jobs/incidentio/strategic-account-executive-qkjzr) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive - Mid-Market

HubSpot · Remote - USA

›](https://jobsbyculture.com/jobs/hubspot/account-executive-mid-market)

[View all 312 jobs →](https://jobsbyculture.com/jobs?value=psych-safety)

## Browse by role

[Safe to Fail Sales / GTM Jobs 173](https://jobsbyculture.com/roles/psych-safety/sales) [Safe to Fail Engineering Jobs 51](https://jobsbyculture.com/roles/psych-safety/engineering) [Safe to Fail Product Jobs 17](https://jobsbyculture.com/roles/psych-safety/product) [Safe to Fail Marketing Jobs 10](https://jobsbyculture.com/roles/psych-safety/marketing) [Safe to Fail Data Jobs 9](https://jobsbyculture.com/roles/psych-safety/data) [Safe to Fail Operations Jobs 7](https://jobsbyculture.com/roles/psych-safety/operations) [Safe to Fail Legal Jobs 6](https://jobsbyculture.com/roles/psych-safety/legal) [Safe to Fail ML / AI Jobs 6](https://jobsbyculture.com/roles/psych-safety/ml-ai)

## Other culture values

[⚖️ Work-Life Balance 1646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2595](https://jobsbyculture.com/values/diverse)

---

## Document: Remote-Friendly Jobs at AI & Tech Companies | JobsByCulture

# Remote-Friendly Jobs at AI & Tech Companies | JobsByCulture

> Browse 1506 jobs at 21 companies that value remote-friendly. Companies with true remote-first or remote-friendly cultures. Work from anywhere policies, async co

Source: https://jobsbyculture.com/values/remote
Markdown: https://jobsbyculture.com/values/remote.md
Last updated: 2026-07-14

---
Remote-Friendly

# 🌐 _Remote-Friendly_ Jobs

Companies with true remote-first or remote-friendly cultures. Work from anywhere policies, async communication, and no penalties for not being in an office.

1506

Open Roles

21

Companies

## Companies that value _remote-friendly_

[

![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Hugging Face

Mid (~700) · Glassdoor 3.8/5

Open Source Remote-Friendly Flexible Hours Transparent

](https://jobsbyculture.com/companies/huggingface)[

![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Linear

Small (~80) · Glassdoor 4.6/5

Deep Work / Low Meetings Remote-Friendly Async-First Engineering-Driven

](https://jobsbyculture.com/companies/linear)[

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Large (~800) · Glassdoor 3.7/5

Ship Fast & Iterate Remote-Friendly Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/apollo)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Weaviate

Small (~110) · Glassdoor 4.3/5

Remote-Friendly Async-First Flat Hierarchy Open Source

](https://jobsbyculture.com/companies/weaviate)[

![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

PostHog

Small (~170) · Glassdoor 4.3/5

Open Source Transparent Async-First Remote-Friendly

](https://jobsbyculture.com/companies/posthog)[

![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Supabase

Small (~250) · Glassdoor 4.8/5

Open Source Remote-Friendly Engineering-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/supabase)[

![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Tailscale

Small (~290) · Glassdoor 4.4/5

Remote-Friendly Work-Life Balance Strong Comp & Equity Engineering-Driven

](https://jobsbyculture.com/companies/tailscale)[

![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Grafana Labs

Large (~1,700) · Glassdoor 4.1/5

Remote-Friendly Open Source Engineering-Driven Transparent

](https://jobsbyculture.com/companies/grafanalabs)[

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Mid (~300) · Glassdoor 4.5/5

Remote-Friendly Open Source Flat Hierarchy Transparent

](https://jobsbyculture.com/companies/n8n)[

![Poolside](https://www.google.com/s2/favicons?domain=poolside.ai&sz=128)

Poolside

Small (~150) · Glassdoor 3.8/5

Engineering-Driven Remote-Friendly Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/poolside)[

![Descript](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

Descript

Medium (~250) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/descript)[

![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

Chainguard

Mid (~350) · Glassdoor 4.5/5

Remote-Friendly Open Source Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/chainguard)[

![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

GitLab

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Async-First Transparent Open Source

](https://jobsbyculture.com/companies/gitlab)[

![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Webflow

Mid (~800) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Remote-Friendly Work-Life Balance

](https://jobsbyculture.com/companies/webflow)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Automattic](https://www.google.com/s2/favicons?domain=automattic.com&sz=128)

Automattic

Large (~1,900) · Glassdoor 2.9/5

Remote-Friendly Open Source Async-First

](https://jobsbyculture.com/companies/automattic)[

![Dropbox](https://www.google.com/s2/favicons?domain=dropbox.com&sz=128)

Dropbox

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/dropbox)

## Latest Remote-Friendly jobs

[![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Acquisition Manager

Airbnb · Berlin, Germany

›](https://jobsbyculture.com/jobs/airbnb/acquisition-manager-h2pop) [![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

Social Media Manager

ElevenLabs · London

›](https://jobsbyculture.com/jobs/elevenlabs/social-media-manager) [![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

ABM Manager, Global Public Sector

Elastic · United States

›](https://jobsbyculture.com/jobs/elastic/abm-manager-global-public-sector) [![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

Account Executive - Italy

GitLab · Remote, Italy

›](https://jobsbyculture.com/jobs/gitlab/account-executive-italy) [![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Account Executive

Twilio · Remote - Australia

›](https://jobsbyculture.com/jobs/twilio/account-executive) [![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Accountant, Capital Markets

Coinbase · New York City, NY

›](https://jobsbyculture.com/jobs/coinbase/accountant-capital-markets) [![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Commercial Account Executive, Acquisition | East | Remote

Grafana Labs · United States (Remote)

›](https://jobsbyculture.com/jobs/grafanalabs/commercial-account-executive-acquisition-east-remote) [![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

AI Solutions Engineer

Chainguard · United States - Remote

›](https://jobsbyculture.com/jobs/chainguard/ai-solutions-engineer) [![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Customer Solution Architect (AMER)

Supabase · Remote

›](https://jobsbyculture.com/jobs/supabase/customer-solution-architect-amer) [![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Account Advocate

Apollo.io · Hybrid, Mexico City

›](https://jobsbyculture.com/jobs/apollo/account-advocate) [![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Backend Engineer, Identity

Tailscale · Remote (Canada)

›](https://jobsbyculture.com/jobs/tailscale/backend-engineer-identity-79dq4) [![Dropbox](https://www.google.com/s2/favicons?domain=dropbox.com&sz=128)

Account Executive

Dropbox · Remote - US: Select locations

›](https://jobsbyculture.com/jobs/dropbox/account-executive) [![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

Technical Account Manager (Remote US)

n8n · United States

›](https://jobsbyculture.com/jobs/n8n/technical-account-manager-remote-us) [![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Account Executive, EMEA

Webflow · London, U.K. (Hybrid)

›](https://jobsbyculture.com/jobs/webflow/account-executive-emea) [![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Senior / Staff Fullstack Engineer

Linear · Europe

›](https://jobsbyculture.com/jobs/linear/senior-staff-fullstack-engineer-h50cj) [![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

Technical Ex-Founder

PostHog · Remote

›](https://jobsbyculture.com/jobs/posthog/technical-ex-founder) [![Poolside](https://www.google.com/s2/favicons?domain=poolside.ai&sz=128)

Member of Engineering (Pre-training / Data Research)

Poolside · Remote (EMEA/East Coast)

›](https://jobsbyculture.com/jobs/poolside/member-of-engineering-pre-training-data-research) [![Descript](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

Engineering Manager, Agent

Descript · San Francisco, CA or Remote, US

›](https://jobsbyculture.com/jobs/descript/engineering-manager-agent) [![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Data/Infrastructure Advocate Engineer - EMEA Remote

Hugging Face · Paris, Île-de-France, France

›](https://jobsbyculture.com/jobs/huggingface/data-infrastructure-advocate-engineer-emea-remote) [![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Developer Marketing Manager

Weaviate · Europe

›](https://jobsbyculture.com/jobs/weaviate/developer-marketing-manager)

[View all 1506 jobs →](https://jobsbyculture.com/jobs?value=remote)

## Browse by role

[Remote-Friendly Engineering Jobs 492](https://jobsbyculture.com/roles/remote/engineering) [Remote-Friendly Sales / GTM Jobs 386](https://jobsbyculture.com/roles/remote/sales) [Remote-Friendly Product Jobs 85](https://jobsbyculture.com/roles/remote/product) [Remote-Friendly Marketing Jobs 73](https://jobsbyculture.com/roles/remote/marketing) [Remote-Friendly Operations Jobs 49](https://jobsbyculture.com/roles/remote/operations) [Remote-Friendly Data Jobs 46](https://jobsbyculture.com/roles/remote/data) [Remote-Friendly Legal Jobs 37](https://jobsbyculture.com/roles/remote/legal) [Remote-Friendly ML / AI Jobs 32](https://jobsbyculture.com/roles/remote/ml-ai)

## Other culture values

[⚖️ Work-Life Balance 1646](https://jobsbyculture.com/values/wlb) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2595](https://jobsbyculture.com/values/diverse) [🛡️ Safe to Fail 312](https://jobsbyculture.com/values/psych-safety)

## Related Reading

[Remote-Friendly AI Companies Hiring in 2026 →](https://jobsbyculture.com/blog/remote-friendly-ai-companies-hiring-2026) [Anthropic Remote Work Policy in 2026 →](https://jobsbyculture.com/blog/anthropic-remote-work-policy-2026)

---

## Document: Ship Fast & Iterate Jobs at AI & Tech Companies | JobsByCulture

# Ship Fast & Iterate Jobs at AI & Tech Companies | JobsByCulture

> Browse 8387 jobs at 72 companies that value ship fast & iterate. Companies that prioritize velocity and iteration. Short release cycles, minimal bureaucracy, an

Source: https://jobsbyculture.com/values/ship-fast
Markdown: https://jobsbyculture.com/values/ship-fast.md
Last updated: 2026-07-14

---
Ship Fast & Iterate

# 🚀 _Ship Fast & Iterate_ Jobs

Companies that prioritize velocity and iteration. Short release cycles, minimal bureaucracy, and a bias toward action over perfect planning.

8387

Open Roles

72

Companies

## Companies that value _ship fast & iterate_

[

![Mistral AI](https://www.google.com/s2/favicons?domain=mistral.ai&sz=128)

Mistral AI

Small (~100) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/mistral)[

![Vercel](https://www.google.com/s2/favicons?domain=vercel.com&sz=128)

Vercel

Mid (~600) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Open Source

](https://jobsbyculture.com/companies/vercel)[

![Perplexity AI](https://www.google.com/s2/favicons?domain=perplexity.ai&sz=128)

Perplexity AI

Mid (~500) · Glassdoor 4.7/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/perplexity)[

![Cursor (Anysphere)](https://www.google.com/s2/favicons?domain=cursor.com&sz=128)

Cursor (Anysphere)

Small (~50) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/cursor)[

![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

Scale AI

Large (~1,200) · Glassdoor 3.2/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/scale)[

![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

CoreWeave

Large (~2,100) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/coreweave)[

![Runway](https://www.google.com/s2/favicons?domain=runwayml.com&sz=128)

Runway

Mid (~420) · Glassdoor 4.5/5

Engineering-Driven Direct Product Impact Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/runway)[

![Vast AI](https://www.google.com/s2/favicons?domain=vast.ai&sz=128)

Vast AI

Small (~30) · Glassdoor 5/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/vast)[

![Apollo.io](https://www.google.com/s2/favicons?domain=apollo.io&sz=128)

Apollo.io

Large (~800) · Glassdoor 3.7/5

Ship Fast & Iterate Remote-Friendly Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/apollo)[

![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Figma

Large (~2,800) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/figma)[

![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

ElevenLabs

Mid (~600) · Glassdoor 3.8/5

Ship Fast & Iterate Remote-Friendly Engineering-Driven Direct Product Impact

](https://jobsbyculture.com/companies/elevenlabs)[

![Modal](https://www.google.com/s2/favicons?domain=modal.com&sz=128)

Modal

Small (~110) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Deep Work / Low Meetings Open Source

](https://jobsbyculture.com/companies/modal)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

OpenAI

Large (~3,500) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/openai)[

![LangChain](https://www.google.com/s2/favicons?domain=langchain.com&sz=128)

LangChain

Small (~230) · Glassdoor 4.6/5

Open Source Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/langchain)[

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

Small (~200) · Glassdoor 4/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/replit)[

![Supabase](https://www.google.com/s2/favicons?domain=supabase.com&sz=128)

Supabase

Small (~250) · Glassdoor 4.8/5

Open Source Remote-Friendly Engineering-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/supabase)[

![Suno](https://www.google.com/s2/favicons?domain=suno.com&sz=128)

Suno

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/suno)[

![Pylon](https://www.google.com/s2/favicons?domain=usepylon.com&sz=128)

Pylon

Small (~70) · Glassdoor 3/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/pylon)[

![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

incident.io

Small (~140) · Glassdoor 4.5/5

Transparent Safe to Fail Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/incidentio)[

![Mercury](https://www.google.com/s2/favicons?domain=mercury.com&sz=128)

Mercury

Large (~1,500) · Glassdoor 4.3/5

Direct Product Impact Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/mercury)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

Datadog

Large (~6,000) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/datadog)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Baseten](https://www.google.com/s2/favicons?domain=baseten.co&sz=128)

Baseten

Small (~100) · Glassdoor 4.3/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/baseten)[

![Fireworks AI](https://www.google.com/s2/favicons?domain=fireworks.ai&sz=128)

Fireworks AI

Small (~100) · Glassdoor 4.2/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Learning & Growth

](https://jobsbyculture.com/companies/fireworksai)[

![Synthesia](https://www.google.com/s2/favicons?domain=synthesia.io&sz=128)

Synthesia

Mid (~660) · Glassdoor 4.4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/synthesia)[

![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Samsara

Large (~5,200) · Glassdoor 4/5

Direct Product Impact Learning & Growth Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/samsara)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![Vanta](https://www.google.com/s2/favicons?domain=vanta.com&sz=128)

Vanta

Large (~1,400) · Glassdoor 3.8/5

Direct Product Impact Ship Fast & Iterate Strong Comp & Equity

](https://jobsbyculture.com/companies/vanta)[

![Helsing](https://www.google.com/s2/favicons?domain=helsing.ai&sz=128)

Helsing

Mid (~760) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/helsing)[

![Wayve](https://www.google.com/s2/favicons?domain=wayve.ai&sz=128)

Wayve

Mid (~850) · Glassdoor 4.4/5

Engineering-Driven Learning & Growth Direct Product Impact Diverse & Inclusive

](https://jobsbyculture.com/companies/wayve)[

![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Celonis

Large (~3,800) · Glassdoor 3.8/5

Learning & Growth Strong Comp & Equity Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/celonis)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![Lovable](https://www.google.com/s2/favicons?domain=lovable.dev&sz=128)

Lovable

Medium (~300) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lovable)[

![Cognition](https://www.google.com/s2/favicons?domain=cognition.ai&sz=128)

Cognition

Medium (~300) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/cognition)[

![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Harvey

Medium (~350) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/harvey)[

![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sierra

Large (~500) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Learning & Growth

](https://jobsbyculture.com/companies/sierra)[

![Hebbia](https://www.google.com/s2/favicons?domain=hebbia.com&sz=128)

Hebbia

Small (~140) · Glassdoor 4.4/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Wears Many Hats

](https://jobsbyculture.com/companies/hebbia)[

![Anyscale](https://www.google.com/s2/favicons?domain=anyscale.com&sz=128)

Anyscale

Medium (~250) · Glassdoor 4.2/5

Engineering-Driven Open Source Flat Hierarchy Ship Fast & Iterate

](https://jobsbyculture.com/companies/anyscale)[

![Descript](https://www.google.com/s2/favicons?domain=descript.com&sz=128)

Descript

Medium (~250) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Wears Many Hats

](https://jobsbyculture.com/companies/descript)[

![Labelbox](https://www.google.com/s2/favicons?domain=labelbox.com&sz=128)

Labelbox

Medium (~350) · Glassdoor 3.2/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Diverse & Inclusive

](https://jobsbyculture.com/companies/labelbox)[

![Decagon](https://www.google.com/s2/favicons?domain=decagon.ai&sz=128)

Decagon

Small (~210) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/decagon)[

![Granola](https://www.google.com/s2/favicons?domain=granola.ai&sz=128)

Granola

Small (~50) · Glassdoor 5/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/granola)[

![Mercor](https://www.google.com/s2/favicons?domain=mercor.com&sz=128)

Mercor

Small (~200) · Glassdoor 3.9/5

Ship Fast & Iterate Engineering-Driven Flat Hierarchy Strong Comp & Equity

](https://jobsbyculture.com/companies/mercor)[

![Writer](https://www.google.com/s2/favicons?domain=writer.com&sz=128)

Writer

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Open Source

](https://jobsbyculture.com/companies/writer)[

![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Navan

Large (~3,500) · Glassdoor 4/5

Ship Fast & Iterate Learning & Growth Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/navan)[

![Cresta](https://www.google.com/s2/favicons?domain=cresta.com&sz=128)

Cresta

Mid (~500) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/cresta)[

![Lambda](https://www.google.com/s2/favicons?domain=lambda.ai&sz=128)

Lambda

Mid (~500) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/lambda)[

![Deepgram](https://www.google.com/s2/favicons?domain=deepgram.com&sz=128)

Deepgram

Mid (~260) · Glassdoor 4.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/deepgram)[

![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Snowflake

Large (~7,000) · Glassdoor 3.7/5

Engineering-Driven Strong Comp & Equity Learning & Growth Ship Fast & Iterate

](https://jobsbyculture.com/companies/snowflake)[

![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Coinbase

Large (~5,000) · Glassdoor 3.7/5

Remote-Friendly Strong Comp & Equity Ship Fast & Iterate Engineering-Driven

](https://jobsbyculture.com/companies/coinbase)[

![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Hippocratic AI

Small (~264) · Glassdoor 3.9/5

Mission-Driven Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/hippocratic-ai)[

![Exa](https://www.google.com/s2/favicons?domain=exa.ai&sz=128)

Exa

Small (~120) · Glassdoor null/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Flat Hierarchy

](https://jobsbyculture.com/companies/exa)[

![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

Flexport

Mid (~750) · Glassdoor 3.5/5

Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/flexport)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Intercom](https://www.google.com/s2/favicons?domain=intercom.com&sz=128)

Intercom

Mid (~1,000) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/intercom)[

![Bizzdesign](https://www.google.com/s2/favicons?domain=bizzdesign.com&sz=128)

Bizzdesign

Mid (~500) · Glassdoor 4.2/5

Learning & Growth Direct Product Impact Diverse & Inclusive Ship Fast & Iterate

](https://jobsbyculture.com/companies/bizzdesign)[

![Figure AI](https://www.google.com/s2/favicons?domain=figure.ai&sz=128)

Figure AI

Mid (~400) · Glassdoor 3.5/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Strong Comp & Equity

](https://jobsbyculture.com/companies/figureai)[

![Twelve Labs](https://www.google.com/s2/favicons?domain=twelvelabs.io&sz=128)

Twelve Labs

Small (~100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Flat Hierarchy Direct Product Impact

](https://jobsbyculture.com/companies/twelve-labs)[

![Cartesia](https://www.google.com/s2/favicons?domain=cartesia.ai&sz=128)

Cartesia

Small (~90) · Glassdoor 4.5/5

Engineering-Driven Ship Fast & Iterate Wears Many Hats Direct Product Impact

](https://jobsbyculture.com/companies/cartesia)[

![Character AI](https://www.google.com/s2/favicons?domain=character.ai&sz=128)

Character AI

Mid (~250) · Glassdoor 3.4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact

](https://jobsbyculture.com/companies/character)[

![Lightmatter](https://www.google.com/s2/favicons?domain=lightmatter.co&sz=128)

Lightmatter

Mid (~300) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/lightmatter)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Palantir

Large (~4,000) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Strong Comp & Equity Ship Fast & Iterate

](https://jobsbyculture.com/companies/palantir)[

![WorkOS](https://www.google.com/s2/favicons?domain=workos.com&sz=128)

WorkOS

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/workos)[

![Cryptio](https://www.google.com/s2/favicons?domain=cryptio.co&sz=128)

Cryptio

Small (~110) · Glassdoor 4/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Wears Many Hats

](https://jobsbyculture.com/companies/cryptio)[

![Tenstorrent](https://www.google.com/s2/favicons?domain=tenstorrent.com&sz=128)

Tenstorrent

Mid (~1,100) · Glassdoor 3.6/5

Engineering-Driven Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/tenstorrent)[

![DevRev](https://www.google.com/s2/favicons?domain=devrev.ai&sz=128)

DevRev

Mid (~800) · Glassdoor 4.1/5

Engineering-Driven Ship Fast & Iterate Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/devrev)[

![Kindred](https://www.google.com/s2/favicons?domain=livekindred.com&sz=128)

Kindred

Small (~50) · Glassdoor null/5

Direct Product Impact Ship Fast & Iterate Engineering-Driven Wears Many Hats

](https://jobsbyculture.com/companies/kindred)

## Latest Ship Fast & Iterate jobs

[![OpenAI](https://www.google.com/s2/favicons?domain=openai.com&sz=128)

Technical Program Manager, Compute Infrastructure

OpenAI · San Francisco

›](https://jobsbyculture.com/jobs/openai/technical-program-manager-compute-infrastructure) [![Datadog](https://www.google.com/s2/favicons?domain=datadoghq.com&sz=128)

AI Research Engineer - Datadog AI Research (DAIR)

Datadog · Paris, France

›](https://jobsbyculture.com/jobs/datadog/ai-research-engineer-datadog-ai-research-dair) [![Snowflake](https://www.google.com/s2/favicons?domain=snowflake.com&sz=128)

Senior Solution Engineer

Snowflake · US-NC-Remote

›](https://jobsbyculture.com/jobs/snowflake/senior-solution-engineer-jj4kz) [![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Staff Product Security Engineer

Crusoe · San Francisco, CA - US

›](https://jobsbyculture.com/jobs/crusoe/staff-product-security-engineer) [![Harvey](https://www.google.com/s2/favicons?domain=harvey.ai&sz=128)

Staff Software Engineer, AI Platform

Harvey · San Francisco

›](https://jobsbyculture.com/jobs/harvey/staff-software-engineer-ai-platform-67uz9) [![Samsara](https://www.google.com/s2/favicons?domain=samsara.com&sz=128)

Account Development Representative - BeNeLux

Samsara · Remote - Netherlands

›](https://jobsbyculture.com/jobs/samsara/account-development-representative-benelux) [![CoreWeave](https://www.google.com/s2/favicons?domain=coreweave.com&sz=128)

Account Executive - Greenfield

CoreWeave · New York, NY / Chicago, IL / Seattle, WA / San Francisco, CA

›](https://jobsbyculture.com/jobs/coreweave/account-executive-greenfield) [![Palantir](https://www.google.com/s2/favicons?domain=palantir.com&sz=128)

Administrative Business Partner - Security

Palantir · Palo Alto, CA

›](https://jobsbyculture.com/jobs/palantir/administrative-business-partner-security-x83sp) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Account Executive, Mid Market

Brex · Seattle, Washington, United States

›](https://jobsbyculture.com/jobs/brex/account-executive-mid-market-oowyb) [![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Account Executive, SLED (Austin)

Cloudflare · Distributed

›](https://jobsbyculture.com/jobs/cloudflare/account-executive-sled-austin) [![Celonis](https://www.google.com/s2/favicons?domain=celonis.com&sz=128)

Account Executive - Retail

Celonis · Remote, US, California

›](https://jobsbyculture.com/jobs/celonis/account-executive-retail) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Account Manager

Adyen · Berlin

›](https://jobsbyculture.com/jobs/adyen/account-manager-q73pv) [![Scale AI](https://www.google.com/s2/favicons?domain=scale.com&sz=128)

AI Applications Ops Lead, GPS

Scale AI · Doha, Qatar; London, UK

›](https://jobsbyculture.com/jobs/scale/ai-applications-ops-lead-gps) [![ElevenLabs](https://www.google.com/s2/favicons?domain=elevenlabs.io&sz=128)

Social Media Manager

ElevenLabs · London

›](https://jobsbyculture.com/jobs/elevenlabs/social-media-manager) [![Navan](https://www.google.com/s2/favicons?domain=navan.com&sz=128)

Account Executive DACH

Navan · Berlin, Germany

›](https://jobsbyculture.com/jobs/navan/account-executive-dach) [![Figma](https://www.google.com/s2/favicons?domain=figma.com&sz=128)

Account Executive, Emerging Enterprise (Berlin, Germany)

Figma · Berlin, Germany

›](https://jobsbyculture.com/jobs/figma/account-executive-emerging-enterprise-berlin-germany) [![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Account Executive - Berlin (x/f/m)

Doctolib · Berlin, Berlin, Germany

›](https://jobsbyculture.com/jobs/doctolib/account-executive-berlin-x-f-m) [![Sierra](https://www.google.com/s2/favicons?domain=sierra.ai&sz=128)

Sales Engineer

Sierra · San Francisco, CA

›](https://jobsbyculture.com/jobs/sierra/sales-engineer-yewqx) [![Flexport](https://www.google.com/s2/favicons?domain=flexport.com&sz=128)

4PL Area Manager

Flexport · Atlanta Warehouse; Chicago Warehouse; Dallas Warehouse; New York City, New York, United States; Phillipsburg Warehouse; San Bernardino Warehouse

›](https://jobsbyculture.com/jobs/flexport/4pl-area-manager-ek08s) [![Coinbase](https://www.google.com/s2/favicons?domain=coinbase.com&sz=128)

Accountant, Capital Markets

Coinbase · New York City, NY

›](https://jobsbyculture.com/jobs/coinbase/accountant-capital-markets)

[View all 8387 jobs →](https://jobsbyculture.com/jobs?value=ship-fast)

## Browse by role

[Ship Fast & Iterate Engineering Jobs 2990](https://jobsbyculture.com/roles/ship-fast/engineering) [Ship Fast & Iterate Sales / GTM Jobs 1832](https://jobsbyculture.com/roles/ship-fast/sales) [Ship Fast & Iterate Product Jobs 435](https://jobsbyculture.com/roles/ship-fast/product) [Ship Fast & Iterate Marketing Jobs 336](https://jobsbyculture.com/roles/ship-fast/marketing) [Ship Fast & Iterate Operations Jobs 294](https://jobsbyculture.com/roles/ship-fast/operations) [Ship Fast & Iterate ML / AI Jobs 212](https://jobsbyculture.com/roles/ship-fast/ml-ai) [Ship Fast & Iterate HR / People Jobs 204](https://jobsbyculture.com/roles/ship-fast/hr-people) [Ship Fast & Iterate Data Jobs 171](https://jobsbyculture.com/roles/ship-fast/data)

## Other culture values

[⚖️ Work-Life Balance 1646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2595](https://jobsbyculture.com/values/diverse)

## Related Reading

[AI Hiring Trends in 2026 →](https://jobsbyculture.com/blog/ai-hiring-trends-2026)

---

## Document: Mission-Driven Jobs at AI & Tech Companies | JobsByCulture

# Mission-Driven Jobs at AI & Tech Companies | JobsByCulture

> Browse 1422 jobs at 10 companies that value mission-driven. Companies driven by a mission beyond profit. Whether it

Source: https://jobsbyculture.com/values/social-impact
Markdown: https://jobsbyculture.com/values/social-impact.md
Last updated: 2026-07-14

---
Mission-Driven

# 💜 _Mission-Driven_ Jobs

Companies driven by a mission beyond profit. Whether it's climate, education, health, or AI safety — the work connects to something larger.

1422

Open Roles

10

Companies

## Companies that value _mission-driven_

[

![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Anthropic

Mid (~1,500) · Glassdoor 4.4/5

Ethical AI / Safety Learning & Growth Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/anthropic)[

![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Replit

Small (~200) · Glassdoor 4/5

Ship Fast & Iterate Wears Many Hats Direct Product Impact Engineering-Driven

](https://jobsbyculture.com/companies/replit)[

![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Crusoe

Large (~1,200) · Glassdoor 3.4/5

Ship Fast & Iterate Mission-Driven Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/crusoe)[

![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Doctolib

Large (~3,500) · Glassdoor 3.7/5

Mission-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/doctolib)[

![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Abridge

Mid (~500) · Glassdoor 4.7/5

Mission-Driven Engineering-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/abridge)[

![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Hippocratic AI

Small (~264) · Glassdoor 3.9/5

Mission-Driven Engineering-Driven Ship Fast & Iterate Wears Many Hats

](https://jobsbyculture.com/companies/hippocratic-ai)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Duolingo

Large (~900) · Glassdoor 4.2/5

Direct Product Impact Learning & Growth Mission-Driven Ship Fast & Iterate

](https://jobsbyculture.com/companies/duolingo)[

![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Robinhood

Large (~2,500) · Glassdoor 3.7/5

Engineering-Driven Ship Fast & Iterate Strong Comp & Equity Mission-Driven

](https://jobsbyculture.com/companies/robinhood)[

![Benchling](https://www.google.com/s2/favicons?domain=benchling.com&sz=128)

Benchling

Mid (~800) · Glassdoor 3.5/5

Engineering-Driven Mission-Driven Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/benchling)

## Latest Mission-Driven jobs

[![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Account Executive - ASEAN

Anthropic · Sydney, Australia

›](https://jobsbyculture.com/jobs/anthropic/account-executive-asean) [![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Staff Product Security Engineer

Crusoe · San Francisco, CA - US

›](https://jobsbyculture.com/jobs/crusoe/staff-product-security-engineer) [![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Account Executive - Berlin (x/f/m)

Doctolib · Berlin, Berlin, Germany

›](https://jobsbyculture.com/jobs/doctolib/account-executive-berlin-x-f-m) [![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Android Engineer, Money Experience

Robinhood · Menlo Park, CA

›](https://jobsbyculture.com/jobs/robinhood/android-engineer-money-experience) [![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Design Engineer

Replit · Foster City, CA

›](https://jobsbyculture.com/jobs/replit/design-engineer) [![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Accountant

Chime · San Francisco, CA, USA

›](https://jobsbyculture.com/jobs/chime/accountant) [![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Research Scientist, Speech Technologies

Hippocratic AI · Palo Alto

›](https://jobsbyculture.com/jobs/hippocratic-ai/research-scientist-speech-technologies) [![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Brand Campaigns Director

Duolingo · New York, NY

›](https://jobsbyculture.com/jobs/duolingo/brand-campaigns-director-s47o5) [![Benchling](https://www.google.com/s2/favicons?domain=benchling.com&sz=128)

Software Engineer, Agents

Benchling · San Francisco, CA

›](https://jobsbyculture.com/jobs/benchling/software-engineer-agents) [![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Machine Learning Scientist (All Levels)

Abridge · SF Office

›](https://jobsbyculture.com/jobs/abridge/machine-learning-scientist-all-levels) [![Anthropic](https://www.google.com/s2/favicons?domain=anthropic.com&sz=128)

Account Executive, Nonprofits & Higher Education - APAC

Anthropic · Sydney, Australia

›](https://jobsbyculture.com/jobs/anthropic/account-executive-nonprofits-higher-education-apac) [![Crusoe](https://www.google.com/s2/favicons?domain=crusoe.ai&sz=128)

Wiring Technician

Crusoe · Arvada, CO - US

›](https://jobsbyculture.com/jobs/crusoe/wiring-technician) [![Doctolib](https://www.google.com/s2/favicons?domain=doctolib.com&sz=128)

Account Executive - Darmstadt (x/f/m)

Doctolib · Frankfurt

›](https://jobsbyculture.com/jobs/doctolib/account-executive-darmstadt-x-f-m) [![Robinhood](https://www.google.com/s2/favicons?domain=robinhood.com&sz=128)

Android Engineer, Trump Accounts

Robinhood · New York, NY

›](https://jobsbyculture.com/jobs/robinhood/android-engineer-trump-accounts) [![Replit](https://www.google.com/s2/favicons?domain=replit.com&sz=128)

Staff Software Engineer, Product

Replit · Foster City, CA

›](https://jobsbyculture.com/jobs/replit/staff-software-engineer-product) [![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

AI/ML Engineer

Chime · San Francisco, CA, USA

›](https://jobsbyculture.com/jobs/chime/ai-ml-engineer) [![Hippocratic AI](https://www.google.com/s2/favicons?domain=hippocraticai.com&sz=128)

Director, Regulatory

Hippocratic AI · Menlo Park

›](https://jobsbyculture.com/jobs/hippocratic-ai/director-regulatory) [![Duolingo](https://www.google.com/s2/favicons?domain=duolingo.com&sz=128)

Brand Campaigns Director

Duolingo · Pittsburgh, PA

›](https://jobsbyculture.com/jobs/duolingo/brand-campaigns-director-qpygb) [![Benchling](https://www.google.com/s2/favicons?domain=benchling.com&sz=128)

Engineering Leader, Molecular Biology

Benchling · San Francisco, CA

›](https://jobsbyculture.com/jobs/benchling/engineering-leader-molecular-biology) [![Abridge](https://www.google.com/s2/favicons?domain=abridge.com&sz=128)

Senior Platform Engineer

Abridge · SF Office

›](https://jobsbyculture.com/jobs/abridge/senior-platform-engineer)

[View all 1422 jobs →](https://jobsbyculture.com/jobs?value=social-impact)

## Browse by role

[Mission-Driven Engineering Jobs 501](https://jobsbyculture.com/roles/social-impact/engineering) [Mission-Driven Sales / GTM Jobs 229](https://jobsbyculture.com/roles/social-impact/sales) [Mission-Driven Product Jobs 78](https://jobsbyculture.com/roles/social-impact/product) [Mission-Driven ML / AI Jobs 68](https://jobsbyculture.com/roles/social-impact/ml-ai) [Mission-Driven Marketing Jobs 57](https://jobsbyculture.com/roles/social-impact/marketing) [Mission-Driven Operations Jobs 51](https://jobsbyculture.com/roles/social-impact/operations) [Mission-Driven Legal Jobs 34](https://jobsbyculture.com/roles/social-impact/legal) [Mission-Driven Data Jobs 31](https://jobsbyculture.com/roles/social-impact/data)

## Other culture values

[⚖️ Work-Life Balance 1646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2595](https://jobsbyculture.com/values/diverse)

---

## Document: Transparent Jobs at AI & Tech Companies | JobsByCulture

# Transparent Jobs at AI & Tech Companies | JobsByCulture

> Browse 2269 jobs at 16 companies that value transparent. Companies that share information openly. All-hands updates, open financials, clear decision-making proc

Source: https://jobsbyculture.com/values/transparent
Markdown: https://jobsbyculture.com/values/transparent.md
Last updated: 2026-07-14

---
Transparent

# 🪟 _Transparent_ Jobs

Companies that share information openly. All-hands updates, open financials, clear decision-making processes, and genuine psychological safety to speak up.

2269

Open Roles

16

Companies

## Companies that value _transparent_

[

![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Hugging Face

Mid (~700) · Glassdoor 3.8/5

Open Source Remote-Friendly Flexible Hours Transparent

](https://jobsbyculture.com/companies/huggingface)[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Stripe

Large (~8,000) · Glassdoor 4/5

Engineering-Driven Learning & Growth Strong Comp & Equity Direct Product Impact

](https://jobsbyculture.com/companies/stripe)[

![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Ramp

Large (~1,000+) · Glassdoor 4.2/5

Ship Fast & Iterate Direct Product Impact Engineering-Driven Transparent

](https://jobsbyculture.com/companies/ramp)[

![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Notion

Mid (~800) · Glassdoor 4.4/5

Direct Product Impact Engineering-Driven Learning & Growth Transparent

](https://jobsbyculture.com/companies/notion)[

![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

PostHog

Small (~170) · Glassdoor 4.3/5

Open Source Transparent Async-First Remote-Friendly

](https://jobsbyculture.com/companies/posthog)[

![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Tailscale

Small (~290) · Glassdoor 4.4/5

Remote-Friendly Work-Life Balance Strong Comp & Equity Engineering-Driven

](https://jobsbyculture.com/companies/tailscale)[

![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

incident.io

Small (~140) · Glassdoor 4.5/5

Transparent Safe to Fail Ship Fast & Iterate Learning & Growth

](https://jobsbyculture.com/companies/incidentio)[

![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Grafana Labs

Large (~1,700) · Glassdoor 4.1/5

Remote-Friendly Open Source Engineering-Driven Transparent

](https://jobsbyculture.com/companies/grafanalabs)[

![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Plaid

Mid (~800) · Glassdoor 4.6/5

Engineering-Driven Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/plaid)[

![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Brex

Large (~1,600) · Glassdoor 4/5

Ship Fast & Iterate Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/brex)[

![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Cloudflare

Large (~4,000) · Glassdoor 3.9/5

Engineering-Driven Ship Fast & Iterate Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/cloudflare)[

![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

Glean

Large (~1,475) · Glassdoor 4.2/5

Engineering-Driven Learning & Growth Direct Product Impact Ship Fast & Iterate

](https://jobsbyculture.com/companies/glean)[

![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

n8n

Mid (~300) · Glassdoor 4.5/5

Remote-Friendly Open Source Flat Hierarchy Transparent

](https://jobsbyculture.com/companies/n8n)[

![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

GitLab

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Async-First Transparent Open Source

](https://jobsbyculture.com/companies/gitlab)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)

## Latest Transparent jobs

[![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, AI Sales (Grower)

Stripe · San Francisco, CA

›](https://jobsbyculture.com/jobs/stripe/account-executive-ai-sales-grower) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Account Executive, Mid Market

Brex · Seattle, Washington, United States

›](https://jobsbyculture.com/jobs/brex/account-executive-mid-market-oowyb) [![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

Account Executive, SLED (Austin)

Cloudflare · Distributed

›](https://jobsbyculture.com/jobs/cloudflare/account-executive-sled-austin) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive- Corporate/Enterprise

HubSpot · Office - Bengaluru, India

›](https://jobsbyculture.com/jobs/hubspot/account-executive-corporate-enterprise) [![GitLab](https://www.google.com/s2/favicons?domain=gitlab.com&sz=128)

Account Executive - Italy

GitLab · Remote, Italy

›](https://jobsbyculture.com/jobs/gitlab/account-executive-italy) [![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Administrative Business Partner

Asana · San Francisco

›](https://jobsbyculture.com/jobs/asana/administrative-business-partner) [![Notion](https://www.google.com/s2/favicons?domain=notion.so&sz=128)

Outbound Business Development Representative, AMER

Notion · New York, New York

›](https://jobsbyculture.com/jobs/notion/outbound-business-development-representative-amer-nvdev) [![Glean](https://www.google.com/s2/favicons?domain=glean.com&sz=128)

AI Success Manager, Central

Glean · Remote - US

›](https://jobsbyculture.com/jobs/glean/ai-success-manager-central-di69k) [![Ramp](https://www.google.com/s2/favicons?domain=ramp.com&sz=128)

Technical Consultant, Mid-Market

Ramp · Remote (US)

›](https://jobsbyculture.com/jobs/ramp/technical-consultant-mid-market) [![Plaid](https://www.google.com/s2/favicons?domain=plaid.com&sz=128)

Fraud and Abuse Operations Analyst

Plaid · San Francisco HQ

›](https://jobsbyculture.com/jobs/plaid/fraud-and-abuse-operations-analyst) [![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Commercial Account Executive, Acquisition | East | Remote

Grafana Labs · United States (Remote)

›](https://jobsbyculture.com/jobs/grafanalabs/commercial-account-executive-acquisition-east-remote) [![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Backend Engineer, Identity

Tailscale · Remote (Canada)

›](https://jobsbyculture.com/jobs/tailscale/backend-engineer-identity-79dq4) [![n8n](https://www.google.com/s2/favicons?domain=n8n.io&sz=128)

Technical Account Manager (Remote US)

n8n · United States

›](https://jobsbyculture.com/jobs/n8n/technical-account-manager-remote-us) [![incident.io](https://www.google.com/s2/favicons?domain=incident.io&sz=128)

Business Development Representative

incident.io · San Francisco

›](https://jobsbyculture.com/jobs/incidentio/business-development-representative-9r8xn) [![PostHog](https://www.google.com/s2/favicons?domain=posthog.com&sz=128)

Technical Ex-Founder

PostHog · Remote

›](https://jobsbyculture.com/jobs/posthog/technical-ex-founder) [![Hugging Face](https://www.google.com/s2/favicons?domain=huggingface.co&sz=128)

Data/Infrastructure Advocate Engineer - EMEA Remote

Hugging Face · Paris, Île-de-France, France

›](https://jobsbyculture.com/jobs/huggingface/data-infrastructure-advocate-engineer-emea-remote) [![Stripe](https://www.google.com/s2/favicons?domain=stripe.com&sz=128)

Account Executive, Commercial Grower (Japanese Fluency)

Stripe · Japan

›](https://jobsbyculture.com/jobs/stripe/account-executive-commercial-grower-japanese-fluency) [![Brex](https://www.google.com/s2/favicons?domain=brex.com&sz=128)

Account Executive, Mid Market

Brex · New York, New York, United States

›](https://jobsbyculture.com/jobs/brex/account-executive-mid-market-cfqc5) [![Cloudflare](https://www.google.com/s2/favicons?domain=cloudflare.com&sz=128)

AI Transformation Intern – Global Customer Engineering, Service Sales (Fall 2026)

Cloudflare · In-Office

›](https://jobsbyculture.com/jobs/cloudflare/ai-transformation-intern-global-customer-engineering-service-sales-fall-2026) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive (English and Portuguese Fluency Required)

HubSpot · Bogotá, Colombia

›](https://jobsbyculture.com/jobs/hubspot/account-executive-english-and-portuguese-fluency-required)

[View all 2269 jobs →](https://jobsbyculture.com/jobs?value=transparent)

## Browse by role

[Transparent Sales / GTM Jobs 751](https://jobsbyculture.com/roles/transparent/sales) [Transparent Engineering Jobs 617](https://jobsbyculture.com/roles/transparent/engineering) [Transparent Product Jobs 164](https://jobsbyculture.com/roles/transparent/product) [Transparent Marketing Jobs 116](https://jobsbyculture.com/roles/transparent/marketing) [Transparent Operations Jobs 70](https://jobsbyculture.com/roles/transparent/operations) [Transparent Data Jobs 53](https://jobsbyculture.com/roles/transparent/data) [Transparent HR / People Jobs 45](https://jobsbyculture.com/roles/transparent/hr-people) [Transparent Finance Jobs 44](https://jobsbyculture.com/roles/transparent/finance)

## Other culture values

[⚖️ Work-Life Balance 1646](https://jobsbyculture.com/values/wlb) [🌐 Remote-Friendly 1506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2595](https://jobsbyculture.com/values/diverse) [🛡️ Safe to Fail 312](https://jobsbyculture.com/values/psych-safety)

---

## Document: Work-Life Balance Jobs at AI & Tech Companies | JobsByCulture

# Work-Life Balance Jobs at AI & Tech Companies | JobsByCulture

> Browse 1646 jobs at 18 companies that value work-life balance. Companies that genuinely respect boundaries between work and personal life. Employees report sust

Source: https://jobsbyculture.com/values/wlb
Markdown: https://jobsbyculture.com/values/wlb.md
Last updated: 2026-07-14

---
Work-Life Balance

# ⚖️ _Work-Life Balance_ Jobs

Companies that genuinely respect boundaries between work and personal life. Employees report sustainable hours, generous PTO, and managers who discourage overtime.

1646

Open Roles

18

Companies

## Companies that value _work-life balance_

[

![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

HubSpot

Large (~8,000) · Glassdoor 3.5/5

Diverse & Inclusive Learning & Growth Work-Life Balance Transparent

](https://jobsbyculture.com/companies/hubspot)[

![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Linear

Small (~80) · Glassdoor 4.6/5

Deep Work / Low Meetings Remote-Friendly Async-First Engineering-Driven

](https://jobsbyculture.com/companies/linear)[

![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Airbnb

Large (~7,300) · Glassdoor 4.1/5

Remote-Friendly Work-Life Balance Diverse & Inclusive Open Source

](https://jobsbyculture.com/companies/airbnb)[

![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Weaviate

Small (~110) · Glassdoor 4.3/5

Remote-Friendly Async-First Flat Hierarchy Open Source

](https://jobsbyculture.com/companies/weaviate)[

![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Tailscale

Small (~290) · Glassdoor 4.4/5

Remote-Friendly Work-Life Balance Strong Comp & Equity Engineering-Driven

](https://jobsbyculture.com/companies/tailscale)[

![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Grafana Labs

Large (~1,700) · Glassdoor 4.1/5

Remote-Friendly Open Source Engineering-Driven Transparent

](https://jobsbyculture.com/companies/grafanalabs)[

![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

DeepL

Large (~1,570) · Glassdoor 2.9/5

Work-Life Balance Flexible Hours Diverse & Inclusive Direct Product Impact

](https://jobsbyculture.com/companies/deepl)[

![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Adyen

Large (~4,770) · Glassdoor 3.8/5

Engineering-Driven Ship Fast & Iterate Work-Life Balance Direct Product Impact

](https://jobsbyculture.com/companies/adyen)[

![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

Chainguard

Mid (~350) · Glassdoor 4.5/5

Remote-Friendly Open Source Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/chainguard)[

![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Asana

Large (~1,700) · Glassdoor 4.1/5

Work-Life Balance Transparent Learning & Growth Direct Product Impact

](https://jobsbyculture.com/companies/asana)[

![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Webflow

Mid (~800) · Glassdoor 3.7/5

Engineering-Driven Direct Product Impact Remote-Friendly Work-Life Balance

](https://jobsbyculture.com/companies/webflow)[

![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Twilio

Large (~5,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Open Source

](https://jobsbyculture.com/companies/twilio)[

![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

Elastic

Large (~4,000) · Glassdoor 4/5

Remote-Friendly Open Source Work-Life Balance Async-First

](https://jobsbyculture.com/companies/elastic)[

![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Ironclad

Mid (~800) · Glassdoor 4.4/5

Work-Life Balance Engineering-Driven Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/ironclad)[

![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Spotify

Large (~7,300) · Glassdoor 3.9/5

Work-Life Balance Flexible Hours Learning & Growth Strong Comp & Equity

](https://jobsbyculture.com/companies/spotify)[

![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Chime

Large (~1,800) · Glassdoor 4/5

Work-Life Balance Mission-Driven Engineering-Driven

](https://jobsbyculture.com/companies/chime)[

![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

LaunchDarkly

Mid (~590) · Glassdoor 3.8/5

Engineering-Driven Work-Life Balance Direct Product Impact Learning & Growth

](https://jobsbyculture.com/companies/launchdarkly)[

![Dropbox](https://www.google.com/s2/favicons?domain=dropbox.com&sz=128)

Dropbox

Large (~2,500) · Glassdoor 3.9/5

Remote-Friendly Work-Life Balance Engineering-Driven Strong Comp & Equity

](https://jobsbyculture.com/companies/dropbox)

## Latest Work-Life Balance jobs

[![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Acquisition Manager

Airbnb · Berlin, Germany

›](https://jobsbyculture.com/jobs/airbnb/acquisition-manager-h2pop) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Account Manager

Adyen · Berlin

›](https://jobsbyculture.com/jobs/adyen/account-manager-q73pv) [![Elastic](https://www.google.com/s2/favicons?domain=elastic.co&sz=128)

ABM Manager, Global Public Sector

Elastic · United States

›](https://jobsbyculture.com/jobs/elastic/abm-manager-global-public-sector) [![HubSpot](https://www.google.com/s2/favicons?domain=hubspot.com&sz=128)

Account Executive- Corporate/Enterprise

HubSpot · Office - Bengaluru, India

›](https://jobsbyculture.com/jobs/hubspot/account-executive-corporate-enterprise) [![Twilio](https://www.google.com/s2/favicons?domain=twilio.com&sz=128)

Account Executive

Twilio · Remote - Australia

›](https://jobsbyculture.com/jobs/twilio/account-executive) [![Asana](https://www.google.com/s2/favicons?domain=asana.com&sz=128)

Administrative Business Partner

Asana · San Francisco

›](https://jobsbyculture.com/jobs/asana/administrative-business-partner) [![Spotify](https://www.google.com/s2/favicons?domain=spotify.com&sz=128)

Advertiser Solutions Vendor Lead - Programmatic and Direct Support

Spotify · London

›](https://jobsbyculture.com/jobs/spotify/advertiser-solutions-vendor-lead-programmatic-and-direct-support) [![Grafana Labs](https://www.google.com/s2/favicons?domain=grafana.com&sz=128)

Commercial Account Executive, Acquisition | East | Remote

Grafana Labs · United States (Remote)

›](https://jobsbyculture.com/jobs/grafanalabs/commercial-account-executive-acquisition-east-remote) [![Chainguard](https://www.google.com/s2/favicons?domain=chainguard.dev&sz=128)

AI Solutions Engineer

Chainguard · United States - Remote

›](https://jobsbyculture.com/jobs/chainguard/ai-solutions-engineer) [![Chime](https://www.google.com/s2/favicons?domain=chime.com&sz=128)

Accountant

Chime · San Francisco, CA, USA

›](https://jobsbyculture.com/jobs/chime/accountant) [![Tailscale](https://www.google.com/s2/favicons?domain=tailscale.com&sz=128)

Backend Engineer, Identity

Tailscale · Remote (Canada)

›](https://jobsbyculture.com/jobs/tailscale/backend-engineer-identity-79dq4) [![Dropbox](https://www.google.com/s2/favicons?domain=dropbox.com&sz=128)

Account Executive

Dropbox · Remote - US: Select locations

›](https://jobsbyculture.com/jobs/dropbox/account-executive) [![LaunchDarkly](https://www.google.com/s2/favicons?domain=launchdarkly.com&sz=128)

AI Specialist

LaunchDarkly · Remote - US

›](https://jobsbyculture.com/jobs/launchdarkly/ai-specialist) [![Ironclad](https://www.google.com/s2/favicons?domain=ironcladapp.com&sz=128)

Enterprise Solutions Engineer, EMEA

Ironclad · London

›](https://jobsbyculture.com/jobs/ironclad/enterprise-solutions-engineer-emea) [![Webflow](https://www.google.com/s2/favicons?domain=webflow.com&sz=128)

Account Executive, EMEA

Webflow · London, U.K. (Hybrid)

›](https://jobsbyculture.com/jobs/webflow/account-executive-emea) [![Linear](https://www.google.com/s2/favicons?domain=linear.app&sz=128)

Senior / Staff Fullstack Engineer

Linear · Europe

›](https://jobsbyculture.com/jobs/linear/senior-staff-fullstack-engineer-h50cj) [![DeepL](https://www.google.com/s2/favicons?domain=deepl.com&sz=128)

Developer Growth, API & Agentic AI Products

DeepL · Austin

›](https://jobsbyculture.com/jobs/deepl/developer-growth-api-agentic-ai-products) [![Weaviate](https://www.google.com/s2/favicons?domain=weaviate.io&sz=128)

Developer Marketing Manager

Weaviate · Europe

›](https://jobsbyculture.com/jobs/weaviate/developer-marketing-manager) [![Airbnb](https://www.google.com/s2/favicons?domain=airbnb.com&sz=128)

Acquisition Manager

Airbnb · Milan, Italy

›](https://jobsbyculture.com/jobs/airbnb/acquisition-manager-d4rxa) [![Adyen](https://www.google.com/s2/favicons?domain=adyen.com&sz=128)

Account Manager

Adyen · Chicago

›](https://jobsbyculture.com/jobs/adyen/account-manager-whnd2)

[View all 1646 jobs →](https://jobsbyculture.com/jobs?value=wlb)

## Browse by role

[Work-Life Balance Engineering Jobs 510](https://jobsbyculture.com/roles/wlb/engineering) [Work-Life Balance Sales / GTM Jobs 438](https://jobsbyculture.com/roles/wlb/sales) [Work-Life Balance Marketing Jobs 88](https://jobsbyculture.com/roles/wlb/marketing) [Work-Life Balance Product Jobs 88](https://jobsbyculture.com/roles/wlb/product) [Work-Life Balance Data Jobs 58](https://jobsbyculture.com/roles/wlb/data) [Work-Life Balance ML / AI Jobs 48](https://jobsbyculture.com/roles/wlb/ml-ai) [Work-Life Balance Legal Jobs 46](https://jobsbyculture.com/roles/wlb/legal) [Work-Life Balance Operations Jobs 45](https://jobsbyculture.com/roles/wlb/operations)

## Other culture values

[🌐 Remote-Friendly 1506](https://jobsbyculture.com/values/remote) [🕐 Flexible Hours 325](https://jobsbyculture.com/values/flex-hours) [📡 Async-First 476](https://jobsbyculture.com/values/async) [🎧 Deep Work / Low Meetings 67](https://jobsbyculture.com/values/deep-work) [🪟 Transparent 2269](https://jobsbyculture.com/values/transparent) [🤝 Flat Hierarchy 618](https://jobsbyculture.com/values/flat) [🌈 Diverse & Inclusive 2595](https://jobsbyculture.com/values/diverse) [🛡️ Safe to Fail 312](https://jobsbyculture.com/values/psych-safety)

## Related Reading

[Best AI Companies for Work-Life Balance (2026) →](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-2026) [Best AI Companies for Work-Life Balance in San Francisco →](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-san-francisco-2026) [Best AI Companies for Work-Life Balance in New York →](https://jobsbyculture.com/blog/best-ai-companies-work-life-balance-new-york-2026)