Fireworks��� state of the art training and inference platform take you beyond the frontier, transforming open models into your specialized intelligence. Backed by Bessemer, Index and Lightspeed.
About the role
This role owns the financial analysis behind our two largest investments: GPU infrastructure and R&D. On the infrastructure side, you'll model how we contract for capacity, how efficiently we use it, and what it costs to serve inference — the drivers that determine gross margin. On the R&D side, you'll partner with Engineering, Product, Security, and IT on headcount planning, tooling and vendor spend, and the operating budget.
What they're looking for
- 4-7 years of experience beginning with investment banking, private equity, or equivalent experience — this foundation is required for the modeling and analytical rigor it builds
- Ideally, subsequent time in a corporate or startup finance seat (strategic finance, FP&A, or corporate development) at a technology company
- Expert financial modeling skills — you can build from scratch, stress-test your own assumptions, and translate outputs into clear recommendations
- Genuine interest in operations. You want to understand the physical and technical system underneath the numbers, not just consume its outputs
- Comfort with messy and imperfect data
- Excellent communication with technical and non-technical audiences alike — you can take a messy question from a founder or an engineer and return a clear one-page answer
More about this role
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.
This role owns the financial analysis behind our two largest investments: GPU infrastructure and R&D. On the infrastructure side, you'll model how we contract for capacity, how efficiently we use it, and what it costs to serve inference — the drivers that determine gross margin. On the R&D side, you'll partner with Engineering, Product, Security, and IT on headcount planning, tooling and vendor spend, and the operating budget. You'll work directly with leaders across infrastructure, engineering, product, and finance. It's an early to mid-career role with real scope, built for...
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