Head of Talent
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 8/12/2026
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 recruiting as the company scales, personally run priority searches, source and close candidates, advise founders and hiring managers, build sourcing and closing systems, define interview architecture, lead a recruiting team, and manage recruiting operations, candidate experience, and reporting.
Requirements
- 5+ years of technical recruiting experience
- Experience at a frontier AI lab, top AI startup, or elite technical company
- Experience recruiting ML researchers, frontier research talent, or systems and distributed engineers
- Ability to source and close passive candidates against competing offers
- Experience owning senior and hard-to-fill searches end-to-end
- Player-coach experience
- Candidate quality and leveling judgment
- Recruiting function-building experience
Responsibilities
- Run priority searches across research, infrastructure, and leadership
- Source candidates through networks, cold outreach, and targeted campaigns
- Close candidates against competing offers
- Advise founders and hiring managers on candidate strategy, leveling, and offers
- Design and run sourcing for frontier research and systems engineering talent
- Build closing playbooks
- Establish recruiting tooling, data, and pipeline visibility
- Define and enforce the hiring bar
- Hire and lead a recruiting team
- Build interview architecture, rubrics, calibration, and debriefs
- Own recruiting operations, candidate experience, and reporting
- Partner with finance and founders on compensation, leveling, and equity strategy
Benefits
- Meaningful equity
- Flexible work environment
- Visa sponsorship
- Relocation support
- Professional development budget
- Team off-sites
- Conference attendance