Head of Compute
Prime Intellect builds the 'Open Superintelligence Stack' — an integrated compute, training, inference, and sandbox platform that lets companies train, deploy, and continuously improve their own AI models and agents. It serves AI startups, 'neolabs', and enterprises (over 6,000 customers, including Ramp and Zapier) that want to own their model optimization loop rather than rely solely on closed frontier labs.
Maintainer signals as of 8/14/2026
Funding history
Investors
Projects
About Prime Intellect
Prime Intellect is a San Francisco-based AI infrastructure company building what it calls the Open Superintelligence Stack: a full-stack platform spanning GPU compute (on-demand and reserved clusters), large-scale reinforcement learning training ('Lab'), an Environments Hub with 2,500+ community RL environments, hosted evaluations, sandboxed code execution, and dedicated/serverless model inference with native LoRA support. The company maintains open-source libraries (verifiers and prime-rl) used to build and train RL environments, and publishes frontier open research such as the INTELLECT and SYNTHETIC model/dataset series. Prime Intellect works with AI startups, enterprises, and 'neolab' customers such as Ramp and Zapier, helping them turn production traces and evaluations into custom-trained, post-trained agent models that outperform closed frontier models on specific workflows at lower cost and latency. The company has raised over $150M in total funding, including a $130M Series A led by Radical Ventures with participation from NVIDIA Ventures, Intel Capital, and Dell Technologies Capital, and reports over $100M in annualized revenue.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own GPU compute sourcing, economics, contracting, and strategic positioning. You will procure global capacity, negotiate major agreements, secure accelerator access, translate research requirements into compute plans, qualify providers and hardware, and advise leadership on market and capital decisions.
Requirements
- Strong business and financial instincts
- Fluency in the global AI compute market
- Understanding of providers, hardware generations, pricing dynamics, and market direction
- Technical understanding of cluster topology and goodput
- Ability to discuss workload requirements with researchers
- Experience negotiating and closing significant contracts
- Understanding of deal structure and downstream economics
- Ability to operate across finance, commercial, product, and engineering
- High ownership
- Experience using LLMs, automation, and programmatic tools
Responsibilities
- Own compute economics across contracts, training products, and inference products
- Partner with finance and leadership on capital strategy
- Build frameworks for supply decisions and financial outcomes
- Shape the commercial architecture of the open compute ecosystem
- Own global GPU capacity procurement
- Negotiate reserved capacity, spot, burst, MSA, DPA, and order-form agreements
- Secure early access to new accelerator generations
- Maintain senior provider relationships
- Translate training roadmaps and research workloads into compute requirements
- Partner with engineering on acceptance testing and provider qualification
- Track global compute pricing, availability, and provider dynamics
- Advise leadership on accelerators, providers, geographies, and contract structures
Benefits
- Equity
- Flexible work
- Visa sponsorship
- Relocation support
- Professional development budget
- Team off-sites
- Conferences
