Head of GTM Engineering & Systems

About Us:

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.

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, 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.

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), 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.

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, 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.

3. 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.

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