Technical Project Manager (Red Team)

FAR.AI,
$125,000 - $190,000Remote

About The Position

FAR.AI is seeking a Technical Project Manager to support its frontier AI red-teaming program. This role is crucial for managing high-stakes engagements with governments and AI companies, supporting technical initiatives, assisting with red-team recruitment, and ensuring the operational success of the red team. The position is a force multiplier, reporting to the Head of Growth & Strategy and technically to the red-team's technical lead. The role involves turning a rapidly growing team and engagement portfolio into a reliable, high-velocity delivery team. The Technical Project Manager will be moderately technical, capable of understanding technical reports and engaging credibly with technical colleagues, though not required to perform technical tasks like model jailbreaking. The role is expected to evolve with the team's priorities, with a focus on engagement delivery, red-team recruiting, and other evolving needs. The role's primary responsibilities include: Engagement delivery (~35%): Owning the delivery of major multi-party engagements, other engagements like frontier-model red teaming and government RFPs. Managing the RFP and opportunity pipeline, including tracking opportunities, scoping engagements, drafting proposals, and supporting contract negotiations. Program-managing new initiatives like grant-making. Red-team recruiting (~30%): Managing the end-to-end red-team hiring pipeline, including candidate correspondence, scheduling, advance/reject calls, headhunting and sourcing talent, refining target lists, identifying bottlenecks, and smoothing the hiring process. Assisting with job descriptions, work trials, and candidate assessment. Misc (~35%): Addressing shifting team needs, which may include analysis of bottlenecks and the competitive landscape, technical writing, event organization, supporting policy and government-facing work, grant applications, and ad-hoc projects. The allocation of this time will be determined collaboratively based on team needs, individual strengths, and professional development goals.

Requirements

  • Shipped complex, multi-stakeholder technical projects on real deadlines, ideally involving government counterparts or frontier technology.
  • Enjoy recruiting and see it as core strategic work, not a box to tick.
  • Motivated by impact over recognition, publishing papers, or building a personal policy brand.
  • Excited to be a force multiplier for one of the most impactful teams in the world.
  • Low ego and drive to do whatever work most advances the team’s goals—even when it’s behind the scenes, challenging tasks and schedules, or outside a narrow role definition.
  • Comfortable being moderately technical.
  • Enjoy moving fast in ambiguous environments where priorities shift and resourcefulness matters more than process.
  • Take ownership of outcomes, not tasks — you ask whether the thing we care about is actually going to happen, and if not, you act.
  • Substantial programme or engagement management experience (>5y) in a high-velocity technical environment (frontier labs, AI safety organisations, AISIs, technical consultancies, government programme offices, or scaling technical startups).
  • A track record of delivering complex multi-party programmes 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 artefacts 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.

Nice To Haves

  • 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 organisations.
  • 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 grantmaking or RFP processes.

Responsibilities

  • Own the delivery of our largest multi-party engagement.
  • Take delivery ownership of other engagements 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.
  • Programme-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 for red-team hiring.
  • Help write JDs, plan and run work trials, support candidates through the experience, and assess them at the end.
  • Analysis (e.g., identifying bottlenecks in our throughput, mapping the ecosystem of competitor and partner organisations).
  • Technical writing.
  • Event organising (convenings, workshops).
  • Support on policy and government-facing work.
  • Grant applications.
  • Ad-hoc projects that need an owner.

Benefits

  • US or Singapore visas sponsorship
  • USD 125,000–190,000 compensation, depending on experience. Exceptional candidates may be offered more.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service