Head of GTM Engineering & Systems
Lead GTM Engineering at Fireworks AI: architect Salesforce and quoting systems, build agentic AI workflows for sales teams, and scale the GTM engineering team from 2 engineers. Requires 10+ years in GTM/RevOps, deep Salesforce expertise, and 5+ years managing teams.
About the job
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 (LeanData), engagement (Gong, Lemlist, Granola), and the integrations between them.
- Make architectural decisions that compound as the GTM team scales from ~50 to 300+ members.
Quoting and Lead-to-Revenue Architecture (0 to 1)
- Build a durable quoting and lead-to-revenue architecture from scratch (native Salesforce CPQ, purpose-built tool, or custom solution).
- Enable AEs to take a deal from pricing to signed order form without RevOps bottlenecks (replacing Slack approvals, Google Docs order forms, and fragile billing handoffs).
Agentic Workflows for GTM Teams
- Build AI-assisted workflows for BDRs, AEs, SAs, sales managers, and RevOps: account research, rep-facing deal intelligence, automated pipeline hygiene, manager insights.
- Create workflows the team can't imagine working without.
Build and Scale the GTM Engineering Team
- Grow the team from two strong engineers: define hiring profiles, set technical standards, build career paths, and maintain a culture of high-quality, fast-shipping work.
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.
- Deep Salesforce architecture experience: data model, process automation, integrations, governance; proficient with modern CLI/MCP setups.
- Track record of driving real-world sales rep productivity enhancements measured in revenue impact.
- Experience building or rebuilding a quoting or CPQ workflow at meaningful scale.
- Experience leading a team and setting technical direction (beyond just managing execution).
- Track record of building automation that sales reps actually use.
Preferred Qualifications
- 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.
- Experience at an AI/ML infrastructure, developer tools, or API-first company.
Compensation
Total compensation includes meaningful equity in a fast-growing startup, competitive salary, and comprehensive benefits. Base Pay Range (Plus Equity): $250,000–$270,000 USD.
Skills
Salesforce, CPQ, Gtm Tech Stack, AI Workflows, Leandata, Gong, Sales Operations, Revenue Operations, Agentic AI, Consumption Pricing
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