Prime Intellect

3 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: 1 hour 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

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Prime Intellect

3 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: 1 hour agoStatus: Live

Job Summary

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

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: San Francisco, United States

Founded: 2024

Website LinkedIn