Head of GTM Engineering & Systems

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
• 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
• the connective tissue between systems serving a growing org of BDRs, AEs, SAs
• 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
• 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)
• 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
• 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
• 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
• 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
• 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
• Preferred Qualifications
• 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
• 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
• 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.