About the role
About Us: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.
The Role Reporting to the Director of Revenue Strategy & Analytics, the Revenue Analytics Lead is the analytical engine of the GTM org. This role owns the data infrastructure, predictive models, and reporting suite that empower sales reps, GTM leadership, and informs how we run the business. The ideal candidate knows how to interface with Data Engineering to build our data foundations from the ground up, while working with GTM leadership to inform our territory strategies. You need the depth to build governed data models, write advanced SQL, and deploy statistical forecasting models. You also need the judgment to know which number matters and how to tell inform VPs and SVP of Sales. This role starts as a senior IC and grows into a team lead as we scale. The right candidate is already using AI to automate and accelerate their impact into a 10x employee.
Responsibilities Analytics & Performance Measurement Own the source of truth for GTM health: pipeline, bookings, win rates, sales velocity, rep productivity, GPU consumption trends, and segment performance. Build and maintain the analytical framework across the full funnel — outbound through AE close and expansion. Build executive dashboards that give leadership real-time visibility into performance, risk, and opportunity. GTM Planning Execute annual and quarterly planning cycles: territory design, quota-setting, capacity modeling, and headcount planning in partnership with Finance and the Director. Build and maintain predictive models for revenue pacing and sales attainment. Own the quantitative inputs to the forecast: conversion rates, coverage ratios, pipeline aging, and ramp curves. Data Infrastructure & Governance Build scalable, governed GTM data models in Snowflake and dbt. Own definitional standards: pipeline, logo, ARR, GPU consumption. Maintain data integrity across Salesforce and GTM systems. One source of truth, enforced. AI-Native Operations Deploy AI and automation workflows across GTM analytics: reporting automation, pipeline intelligence, and LLM-assisted analysis. Automate recurring analytical work so capacity goes to interpretation, not production.
