Primeintellect

Head of Compute

San Francisco · Senior

Sponsorship not specifiedDetected 13 days ago

Full-Stack DevelopmentDatabricksDatadogLLMsProcurementResearchLeadership

About the role

This is one of the most consequential roles at the company, and one of the most consequential compute roles in the industry.
Compute is our product, and compute is the constraint that shapes what the open AI ecosystem can do.
Every frontier lab is fighting for the same GPUs; your job is to make sure the open ecosystem has a leading seat at the table.

Own the economics of compute end-to-end: the unit economics of every contract, the margin architecture across training and inference products, the long-term P&L consequences of today's supply bets
Partner with Finance and leadership on capital strategy - how much to commit, to whom, for how long, on which hardware, with what balance sheet exposure
Build the frameworks that turn supply decisions into clear financial outcomes, and that let us make multi-hundred-million-dollar bets with conviction under uncertainty
Shape the commercial architecture of the open compute ecosystem: how committed capacity, spot markets, credit structures, and partner economics fit together
Own end-to-end procurement of GPU capacity globally - across hyperscalers, tier-one neoclouds, regional operators, and emerging providers in North America, Europe, the Middle East, and Asia
Build and maintain the senior relationships that make Prime Intellect the partner of choice for providers deciding where to allocate scarce capacity
Co-Design with Research & Engineering
Partner with Engineering on acceptance testing, goodput validation, and the technical qualification of new providers and hardware
Visa sponsorship and relocation support
A front-row seat to building the infrastructure layer for open AI

Strong business and financial instincts - you think natively in unit economics, margin structure, and capital allocation, and you can model the long-term P&L consequences of complex supply decisions
Deep fluency in the global AI compute market: you know the providers, the hardware generations and their real tradeoffs, the pricing dynamics, and where the market is going over the next 12-24 months
AI-native in how you work: you use LLMs, automation, and programmatic tools to move faster

which accelerators, which providers, which geographies, which contract structures, which moments to lean in hard
Enough technical understanding to be dangerous - you can push back on a vendor's spec sheet, read a cluster topology diagram, understand why two nominally identical clusters deliver different goodput, and have a real conversation with researchers about what their workloads need
Serious commercial chops: you've negotiated and closed contracts at meaningful scale, know how to find and use leverage, and understand how deal structure drives downstream economics
Comfortable operating at the intersection of finance, commercial, product, and engineering - and translating fluently between all of them
High ownership: you see gaps and build the fix before anyone asks
Professional development budget
Team off-sites and conferences

This listing is sourced directly from Primeintellect's careers page and normalized into a canonical job model.