Head of GTM Engineering & Systems

Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.

About 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 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 bring agentic AI from concept to production for our GTM teams, establishing it as the new operating baseline. This is a builder and leader role—we want someone who will make hard architectural decisions, ship fast, and raise the bar for excellence in GTM Engineering.

Responsibilities

• 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. Architectural decisions you make now will compound as we scale from ~50 to 300+ GTM team members.
• Quoting and Lead-to-Revenue Architecture (0 to 1): Build a durable quoting and lead-to-revenue architecture from scratch—whether native Salesforce CPQ, a purpose-built tool, or a custom solution. The goal: enable AEs to take a deal from pricing to signed order form without RevOps as a bottleneck.
• Agentic Workflows for GTM Teams: Develop workflows that leverage AI for BDRs, AEs, SAs, sales managers, and RevOps—such as AI-assisted account research, rep-facing deal intelligence, automated pipeline hygiene, and manager insights. These should become indispensable tools, not just demos.
• Build and Scale the GTM Engineering Team: Grow the team from two engineers by defining hiring profiles, setting technical standards, building career paths, and fostering a culture of high-quality, fast-shipping work.

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.
• Deep expertise in Salesforce architecture: data model, process automation, integrations, governance, and modern CLI/MCP setups.
• Proven track record of driving sales rep productivity enhancements measured in revenue impact, not just time saved.
• Experience building or rebuilding a quoting or CPQ workflow at meaningful scale.
• Leadership in setting technical direction, not just managing execution.
• History of building automation that sales reps actually use.

Preferred Qualifications

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

Pay

Base salary range: $250,000 - $270,000 USD (plus meaningful equity in a fast-growing startup). Base pay is determined by qualifications, experience, skills, interview performance, market data, and work location.

Benefits

• 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.
• Comprehensive benefits package.