Head of GTM Engineering & Systems

Fireworks AI; United States; On-site; USD 180,000 - 250,000; Full time

Job summary

Fireworks AI seeks a leader to helm GTM Engineering, owning the tech stack, AI foundations, and architecture to empower a fast-growing GTM organization.

You will drive end-to-end quoting, lead-to-revenue workflows, and build scalable GTM systems while growing the engineering team and setting high standards for delivery.

Qualifications

• 5+ years of people management experience.
• Led a team and set technical direction, not just managed execution.
• Architect Salesforce data model, process automation, integrations, governance.
• Shipped agentic or AI-native GTM workflows in production.
• Experience scaling GTM systems during high-growth phases (Series B–D).
• Familiarity with usage-based or consumption pricing models.
• Built or rebuilt a quoting or CPQ workflow at meaningful scale.

Responsibilities

• Own GTM Tech Stack and AI Foundations; make architectural decisions and ship fast.
• Own Salesforce architecture, enrichment layers, routing, engagement tools, and inter-system integrations.
• Build and scale quoting/lead-to-revenue architecture from scratch for a seamless deal flow.
• Design workflows to increase sales rep productivity using AI-enabled insights and automation.
• Grow and mentor the GTM Engineering team, defining hiring profiles and technical standards.

Skills

GTM tech stack leadership

Salesforce architecture

Quoting/Lead-to-Revenue

AI foundations

People management

CPQ tooling

Automation for GTM

Tools

Salesforce

LeanData

Gong

Lemlist

Granola

Google Docs

Job description

• 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, 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 leading a GTM Engineering team
• 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), 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
• 1. 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, and 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, or a custom solution. The goal: an AE can take a deal from pricing to signed order form without RevOps as a bottleneck
• 1. Agentic Workflows for GTM Teams
• BDRs, AEs, SAs, sales managers, and 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
• 1. 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

• Track record of building automation that sales reps actually use
• Has built or rebuilt a quoting or CPQ workflow at meaningful scale
• 5+ years of people management experience
• Has led a team and set technical direction, not just managed execution
• Has driven real world sales rep productivity enhancements measured in $s not time saved
• 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
• 10+ years in GTM Engineering, Revenue Operations, or Sales Operations at B2B companies; Consumption business model experience strongly desired
• 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