Head of Compute

Prime Intellect
San Francisco
Workplace: RemoteFull timeFunction: Administration & Executive AssistanceSkills: ["Negotiation","Strategic thinking","Stakeholder management","Communication","Leadership"]

Lead Prime Intellect's compute strategy, economics, and sourcing for GPU capacity, shaping unit economics, capital allocation, and long-term P&L. Own vendor relationships, frame commercial architecture for an open AI compute ecosystem, and collaborate with research, engineering, and leadership to determine models, hardware, and deployment scale.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Prime Intellect
Prime Intellect
4 months ago

Head of Compute

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Lead Prime Intellect's compute strategy, economics, and sourcing for GPU capacity, shaping unit economics, capital allocation, and long-term P&L. Own vendor relationships, frame commercial architecture for an open AI compute ecosystem, and collaborate with research, engineering, and leadership to determine models, hardware, and deployment scale.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Manager level

Key Responsibilities

  • •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.

Pay and Benefits

Equity and Bonus:Equity
Perks:Remote Work

Key Requirements

  • •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.
  • •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.
Experience:AIMachine learningComputeCloud computing
Skills:NegotiationStrategic thinkingStakeholder managementCommunicationLeadership
Tech Stack:GPUAcceleratorsLLMsRLInferenceUnit economics

Company Brief

Prime Intellect
Builds a decentralized, open compute and training platform that enables distributed training and collective ownership of AI models, aggregating global GPU resources and offering tools for agentic RL and model evaluation.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: San Francisco, United States
Founded: 2024
WebsiteLinkedIn