About the RoleYou will own and execute long-term talent strategies to identify, engage, and recruit many of the world's leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused recruiting role.
You will operate as a strategic partner to OpenAI's research staff, helping define hiring priorities, shape search strategy, influence candidate evaluation, and guide hiring decisions that directly impact the direction and quality of our frontier-model research and fulfillment of our mission.
In this role, you will:- Partner directly with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve.
- Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist.
- Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles.
- Serve as a trusted advisor throughout candidate evaluation and closing - helping leaders calibrate for research excellence, long-term potential, and organizational fit.
- Collaborate closely with your sourcing partner to execute complex, high-impact searches in ambiguous or rapidly evolving technical domains.
You might thrive in this role if you:- Significant experience recruiting within highly technical or specialized environments.
- Deep interest in AI research and a desire to engage directly with global research communities.
- Experience recruiting within highly technical or specialized environments such as ML/AI, distributed systems, infrastructure, scientific computing, or quantitative research.
- Track record of leading complex, ambiguous technical searches from early talent mapping through close.
- Experience navigating high-stakes negotiations with senior technical or research candidates.
- Comfort operating in fast-moving environments where hiring priorities and role definitions may evolve over time.
Workplace & LocationThis role is based in our San Francisco office and we aren't considering remote applications at this time. We use a hybrid work model of 3 days in the office with optional work from home on Thursdays and Fridays. We also offer relocation assistance to new employees.
Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more.
