Head of GTM Engineering & Systems Job San Mateo area,California USA,Software Development

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, and 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 like leading a GTM Engineering team.

What You’ll Own

GTM Tech Stack and AI Foundations – Own every tool the GTM organization runs on:
Salesforce architecture, enrichment layer (Clay, Harmonic, Sumble), routing (Lean Data), 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.

Quoting and Lead‑to‑Revenue Architecture (0 to
1) – 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 Rev Ops as a bottleneck.

Agentic Workflows for GTM Teams – Build workflows that change how BDRs, AEs, SAs, sales managers, and Rev Ops leverage AI today: 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.

Build and Scale the GTM Engineering Team – Grow from inheriting two strong engineers: defining hiring profiles, setting technical standards, building career paths, and maintaining a culture where high‑quality, fast‑shipping work is the norm.

Minimum Qualifications

10+ years in GTM Engineering, Revenue Operations, or Sales Operations at B2B companies; consumption business model experience strongly desired
5+ years of people management experience
Has architected in Salesforce at real depth: data model, process automation, integrations, governance – and knows how to take advantage of today’s modern CLI/MCP setups
Has driven real‑world sales rep productivity enhancements measured in dollars, not time saved
Has built or rebuilt a quoting or CPQ workflow at meaningful scale
Has led a team and set technical direction, not just managed execution
Track record of building automation that sales reps actually use

Preferred Qualifications

Has shipped agentic or AI‑native GTM workflows in production (not pilots)
Experience scaling GTM systems through a high‑growth phase (SeriesB toD)
Familiarity with usage‑based or consumption pricing models
Has worked at an AI/ML infrastructure, developer tools, or API‑first company

Base Pay Range (Plus Equity)

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 FireworksAI?

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.

FireworksAI is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

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