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Head of GTM Engineering & Systems

Fireworks AI San Mateo, CA Full-time Go To Market Posted Jul 16, 2026
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Culture signals in this specific role

Inferred from the employer’s wording in this job description. These role-level signals are separate from the company-wide employee-review scores below.

OwnershipThe description emphasizes ownership or end-to-end responsibility.
Cross-functionalThe role explicitly involves collaboration across teams or functions.
Fast-pacedThe wording signals a fast-moving environment with changing priorities.
Deep technical workThe role highlights substantial technical, research, or systems work.
Customer-facingThe role includes direct customer or client interaction.

What it’s like to work at Fireworks AI

LLM Inference Platform · Redwood City

4.2
Employee Rating
3.3
Work-Life Balance
37
Open Roles
eng-drivenship-fastmany-hatslearning

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
View full Fireworks AI culture profile →

About the Role

About Us:

At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.

The Role

Our GTM team is growing 10x. As the leader of GTM Engineering you will set the architecture, drive our AI roadmap, or deliver on the auto-magical future that empowers every customer facing role.

You'll own the full GTM tech stack: Salesforce, CPQ, enrichment, engagement tooling, and the connective tissue between systems serving a growing org of BDRs, AEs, SAs, and managers. You'll also be the person who brings agentic AI from concept to production for our GTM teams, not as an experiment, but as the new operating baseline.

This is a builder and leader role. We're not looking for someone to manage vendors or coordinate rollouts. We want someone who will make hard architectural decisions, ship fast, and raise the bar for what great looks leading a GTM Engineering team.

What You'll Own

1. GTM Tech Stack and AI Foundations

Own every tool the GTM organization runs on: Salesforce architecture, enrichment layer (Clay, Harmonic, Sumble), routing (LeanData), engagement (Gong, Lemlist, Granola), and the integrations between them. As we scale from roughly 50 to 300+ GTM team members, the architectural decisions you make now are the ones that compound.

2. Quoting and Lead-to-Revenue Architecture (0 to 1)

We don't have a real CPQ solution today. Deal approvals run through Slack, order forms are built in Google Docs, and the billing handoff is fragile. You'll build a durable quoting and lead-to-revenue architecture from scratch, whether that's native Salesforce CPQ, a purpose-built tool, or a custom solution. The goal: an AE can take a deal from pricing to signed order form without RevOps as a bottleneck.

3. Agentic Workflows for GTM Teams

BDRs, AEs, SAs, sales managers, and RevOps are all under-leveraging AI today. You'll build the workflows that change that: AI-assisted account research, rep-facing deal intelligence, automated pipeline hygiene, manager insights. These should be workflows the team can't imagine working without, not demos.

4. Build and Scale the GTM Engineering Team

You're inheriting two strong engineers. You'll grow from there: defining hiring profiles, setting technical standards, building career paths, and maintaining a culture where high-quality, fast-shipping work is the norm.

Minimum Qualifications

Preferred Qualifications

Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.

Base Pay Range (Plus Equity)
$250,000$270,000 USD

Why Fireworks AI?

  • Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
  • Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
  • Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
  • Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.

Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

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Frequently Asked Questions

What is the work-life balance like at Fireworks AI?
Fireworks AI has a work-life balance score of 3.3/5 based on employee reviews. This is below average, which may indicate a fast-paced, demanding work environment.
What is Fireworks AI’s culture like?
Fireworks AI is characterized by these culture values: eng-driven, ship-fast, many-hats, learning. Based on employee reviews, the company has an overall rating of 4.2/5. World-class team of ex-Meta AI infrastructure engineers — technically very strong peers
How many open roles does Fireworks AI have?
Fireworks AI currently has 37 open roles across departments including engineering, product, sales, and more. Roles are refreshed daily from their careers page.
Is this role remote-friendly?
This role is located in San Mateo, CA. Check the job description above for specific location and remote work details.
Apply for this role at Fireworks AI →