Prime Intellect is building the open superintelligence stack — from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full RL post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts. We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy, Tri Dao, Dylan Patel, Clem Delangue, Emad Mostaque, and many others. Your Role You will own strategic finance at Prime Intellect - the models, analyses, and financial judgment that inform every major decision the company makes, from nine- and ten-figure compute commitments to GTM strategy to the next fundraise. This is not a traditional FP&A role. Compute is our largest cost, our core product, and the place where financial judgment has the highest leverage. You'll work on the operating economics of our supply: per-contract P&L across hyperscalers, neoclouds, and datacenter operators globally; reserved vs. spot tradeoffs; margin by workload, customer, and product. You'll partner with the leadership team on capital allocation and every meaningful supply decision, with GTM on pricing and revenue planning, and with Engineering on the unit economics of everything we ship. You'll be the person who can model what a $200M reserved capacity commitment does to gross margin across three demand scenarios on a Tuesday, reconcile a neocloud partner's invoice against forecast on Wednesday and partner with Sales on enterprise pricing on Friday.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed