Head of GTM Engineering & Systems

Fireworks AI•San Mateo, CA

10d•$250,000 - $270,000•Remote

About The Position

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 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 like leading a GTM Engineering team.

Requirements

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 $s 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

Nice To Haves

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

Responsibilities

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.
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.
Build the workflows that change that: AI-assisted account research, rep-facing deal intelligence, automated pipeline hygiene, manager insights.
Grow the GTM Engineering team from two engineers: defining hiring profiles, setting technical standards, building career paths, and maintaining a culture where high-quality, fast-shipping work is the norm.