Talent Mobilization Program Coordinator
Summary
Coordinate and improve talent programs for the AI safety ecosystem, gathering insights to design and refine career-development initiatives that connect people with roles in AI safety research and operations.
About the role
Key responsibilities
Program Support
- Support existing programs through preparation and execution.
- Contribute to the design of new programs and pilots, and work with the rest of the Mobilization team to identify talent gaps and turn early ideas into defined programs.
Talent Experience & Insights
- Gather structured feedback to understand what's working and where talent experiences friction in the AI safety ecosystem.
- Design and iterate on workflows, communications, and key touchpoints based on what you learn.
- Identify and help document findings, surface patterns, and make recommendations for experience improvements.
Systems & Tracking
- Build and maintain operational systems that keep mobilization efforts running including databases, workflows, and tracking tools (e.g., Airtable, Asana).
- Support data entry, reporting, and process documentation with input from various stakeholders.
- Identify processes that aren't working and have a clear path to raising and testing improvements.
Skills & experience
- You are organized and detail-oriented; you close loops, track follow-ups, and don't let things fall through the cracks.
- You communicate clearly and warmly with a wide range of people, from early-career operators to senior researchers.
- You are eager to learn in a fast-moving, mission-driven environment and ask good questions when uncertain.
- You think in systems but stay grounded in execution; you don't lose the thread on details.
- You are energized by the prospect of building something from scratch in a field that's still taking shape.
- You think AI might have transformative effects in the coming years and want to help build the infrastructure to navigate that well.
- Background in program coordination, nonprofit operations, headhunting, or community management
- Familiarity with tools like Airtable, Asana, or similar
- Exposure to the AI safety, ML research, or EA communities