If you've built anything with RAG, semantic search, or AI agents in the last two years, you've probably come across 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 $135.8 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 | $135.8M (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, Async, Flat, Open Source, WLB, 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 2023, then a $50M Series B led by Index Ventures in April 2023, bringing total funding to $135.8M. 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 $135.8M in the bank, they have significant runway and have resisted the temptation to hire aggressively just because the capital was there.
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 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 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 and GitLab.
Flat hierarchy, psychological safety
At 110 people, Weaviate is small enough that a flat structure 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 — 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.
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.
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 (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.
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
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 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.
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 and PostHog 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 $135.8M 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:
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 or Stripe instead.
Open Positions at Weaviate
Weaviate currently has 5 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.
Frequently Asked Questions About Working at Weaviate
Explore Weaviate's open roles
See Weaviate's 5 open positions alongside jobs from companies like Pinecone, Supabase, PostHog, and more — all with culture context.
View Weaviate Jobs → Full Culture Profile →