Head of GTM Intelligence & Analytics

San Mateo · New York · Full-time · Hybrid · Posted Oct 19, 2026

At a glance

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 Head of GTM Intelligence & Analytics owns the go-to-market data strategy, defining critical metrics and building dashboards for sales, finance, and executive leadership.
This is a player-coach role responsible for leading a small team while personally tackling complex analytical problems like churn analysis and propensity modeling.
The role requires deep experience with usage-based or hybrid commercial models to ensure revenue, pipeline, and product usage data are accurate and actionable.

Define and document critical GTM metrics including pipeline stages, bookings, ARR, consumption, churn, and net revenue retention.
Build and maintain dashboards for leadership, ensuring a single source of truth for all reporting.
Lead complex end-to-end analyses such as churn, retention, propensity modeling, and usage-to-revenue analysis.
Translate analytical findings into clear recommendations for executive leadership and track their impact.
Ensure data and tooling for QBRs, forecast calls, and Pipeline Council are accurate, timely, and repeatable.
Automate recurring reports to reduce manual preparation time.
Partner with Finance to reconcile bookings, ARR, and consumption against financial plans.
Collaborate with Product teams to define and track product usage, adoption metrics, and consumption drivers.
Work with Data Engineering to establish source-of-truth data models across CRM, billing, and quota systems.
Manage, coach, and grow a team of analytics managers and analysts.

8+ years of experience in analytics, with at least 4+ years in GTM, sales, or revenue analytics.
Experience leading or coaching analysts while remaining hands-on.
Advanced SQL and BI/dashboarding skills.
Experience with statistical or predictive modeling, such as churn or propensity models.
Experience analyzing usage-based or hybrid commit + usage business models.
Track record of defining metrics in collaboration with Finance and Product teams.
Experience working with Data Engineering on source-of-truth data architecture.
Experience supporting QBRs, forecast calls, and board or executive reporting.
Strong communication skills with the ability to explain complex analysis to executives.
BA/BS degree in engineering, statistics, finance, economics, or a quantitative field.

Experience at an AI/ML infrastructure, developer tools, or API-first company.
Experience through a period of hypergrowth.
Experience building a metrics or semantic layer, or modern analytics-engineering tooling.
Hands-on experience building analysis workflows with AI or agentic tools.
Familiarity with Salesforce, billing, and product usage data.