FAR.AI is a non-profit AI research institute focused on ensuring advanced AI is safe and beneficial for everyone. They are hiring a Technical Project Manager to oversee the delivery of high-stakes engagements related to AI red-teaming, manage recruiting efforts, and ensure operational efficiency within the team.
Responsibilities:
- Own the delivery of our largest multi-party engagement
- Take delivery ownership of other engagements as they come in such as frontier-model red teaming engagements and government RFPs
- Run the request for proposals (RFP) and opportunity pipeline — tracking live opportunities, scoping new engagements, drafting proposals, and supporting contract negotiations
- Program-manage new initiatives as they land, such as grant-making
- Own the red-team hiring pipeline end-to-end
- Run daily pipeline management (candidate correspondence, scheduling, early advance/reject calls)
- Headhunt and source top talent, working with Kellin and Edward to refine target lists and reach passive candidates
- Identify bottlenecks and smooth the process
- Help write JDs, plan and run work trials, support candidates through the experience, and assess them at the end
- The red-team's needs will shift through the year
- Likely stretch work includes analysis (e.g., identifying bottlenecks in our throughput, mapping the ecosystem of competitor and partner organizations), technical writing, event organizing (convenings, workshops), support on policy and government-facing work, grant applications, and ad-hoc projects that need an owner
Requirements:
- Substantial program or engagement management experience (>5y) in a high-velocity technical environment (frontier labs, AI safety organizations, AISIs, technical consultancies, government program offices, or scaling technical startups)
- A track record of delivering complex multi-party program to hard deadlines, with clear evidence of the judgment calls you made and the trade-offs you owned
- Comfort with the technical substance of our work. You do not need to be a researcher or engineer, but you should be able to read technical reports (red-teaming, security/vulnerability etc.) and form a view on what matters, engage credibly with our technical team, and be curious enough to dig in when it's relevant
- Experience running or materially contributing to technical recruiting — sourcing, pipeline management, work-trial design, or end-to-end hiring. You don't need to have been a full-time recruiter, but you should have shown you can own hiring outcomes
- Experience drafting proposals, responses to RFPs, or similar written artifacts for government or frontier technology counterparts
- Strong written communication — the ability to write status updates, risk memos, outreach to candidates, and external briefs with minimal editing
- Demonstrated ability to operate with significant autonomy and good judgment in high-stakes settings
- Familiarity with AI safety as a field — the risk models, the landscape of labs and institutes, and the case for independent testing
- Experience working with governments, frontier AI companies, or AI Safety organizations
- A technical background in ML, cybersecurity, software engineering, or a related field
- Previous exposure to AI evaluations, red-teaming, or AI governance work
- Experience running grant-making or RFP processes