[Hiring] Technical Program Manager @FAR.AI

Role Description

We are looking for Technical Program Managers to define programs for both our foundational research and research infrastructure teams. Our Research organization is scaling up by expanding our portfolio of research agendas, including:

• Model deception
• Applied interpretability
• Evaluation awareness
• Pre-training filtering
• Open-weight safety

As our Research portfolio expands, our Research Infrastructure needs will also scale up to meet these needs. You'll find the highest-leverage problems and own them end to end, building the processes, systems, and tooling that help our researchers and engineers move faster.

What You’ll Do:

• Take complex technical programs from idea to delivery: scope the plan and milestones, then keep complex, multi-team work moving efficiently, transparently, and to a high technical bar.
• Prioritize across competing demands in partnership with research teams so the teams’ effort lands on the highest-impact work.
• Build and maintain compute and resource roadmaps by surfacing bottlenecks and trade-offs, finding ways to accelerate progress and build relationships with potential external partners.
• Partner with researchers to package their work effectively to get our research into the hands of people who can act on it by transferring findings, methods, and tools to frontier labs and other stakeholders.
• Connect research and engineering with our internal partners in Operations, Events, and Communications giving each the timelines, results, and context they need to plan, resource, and communicate our work.

Qualifications

• A strong technical background, either in ML, software engineering, or another scientific or research field, with 4+ years building technical programs from scratch.
• Practical domain experience in AI/ML such as coordinating model releases, procuring or managing datasets, or supporting evaluations.
• A track record of delivering complex technical programs while managing tradeoffs and strategic priorities.
• Have successfully facilitated technology transfer of foundational and applied research into production environments.
• Strong communication and stakeholder management skills.

Requirements

This role is a great fit if you:

• Are a fast learner and comfortable with ramping up quickly on unfamiliar technical domains to hold your own in discussions with researchers and engineers.
• Can reason about technical trade-offs in depth (e.g. measuring quality of agent output balanced against credit spend, compute efficiency, and training and inference infrastructure) to facilitate clear decisions by stakeholders.
• Enjoy 0-to-1 work by building the processes, systems, and structure where none exist, rather than inheriting them.
• Thrive in an ambiguous, fast-paced environment that is scaling quickly.
• Hold a deep commitment to ensuring safe and beneficial AI.

This role is a poor fit if you:

• Have no technical background. You don't need to code, but you do need to understand AI/ML well enough to hold your own in discussions with researchers and follow the substance of the work.
• Want to inherit a mature TPM function rather than help build one.
• Are looking for a product management role with a product roadmap, rather than driving programs, processes, and delivery across research and infrastructure.

Benefits

• Location: Remote U.S. or Bay Area in-office. We can sponsor US visas.
• Hours: Full-time. 10% travel may be required.
• Compensation: USD 125,000–190,000, depending on experience. Exceptional candidates may be offered more.

Company Description

FAR.AI is a non-profit AI research institute working to ensure advanced AI is safe and beneficial for everyone. Our mission is to facilitate breakthrough AI safety research, advance global understanding of AI risks and solutions, and foster a coordinated global response.

Since our founding in July 2022, we've grown to:

• 45+ staff
• Published 40+ academic papers including an ICML 2026 Outstanding Paper Honorable Mention
• Convened leading AI safety events

Our work is recognized globally, with publications at premier venues such as NeurIPS, ICML, and ICLR, and features in the Financial Times, Nature News, and MIT Technology Review.

We conduct pre-deployment testing on behalf of frontier developers such as OpenAI and independent evaluations for governments including the EU AI Office.

We help steer and grow the AI safety field through:

• Developing research roadmaps with renowned researchers such as Yoshua Bengio
• Running FAR.Labs, an AI safety-focused co-working space in Berkeley housing 40 members
• Supporting the community through targeted grants to technical researchers