Application Guide

How to Apply for Technical Program Manager, Research

at Far.Ai

🏢 About Far.Ai

Far.Ai is a cutting-edge AI research company operating remotely across the US, focusing on frontier AI development. The company bridges the gap between foundational research and practical deployment, working closely with top-tier labs to accelerate AI progress. Working at Far.Ai means contributing to high-impact projects at the intersection of research and engineering.

About This Role

As a Technical Program Manager for Research, you will own the end-to-end delivery of complex technical programs, from scoping to execution, in collaboration with research teams. Your work directly enables researchers to focus on high-impact work by managing compute resources, resolving bottlenecks, and transferring findings to production. This role is critical for translating cutting-edge AI research into tangible outcomes.

💡 A Day in the Life

Your day might start with a standup with research teams to review progress on current programs and identify blockers. Mid-morning, you could be analyzing compute usage data to optimize resource allocation, followed by a meeting with a frontier lab to discuss transferring a new model evaluation tool. Afternoons often involve updating roadmaps, writing status reports, and one-on-ones with researchers to align on priorities.

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🎯 Who Far.Ai Is Looking For

  • Has 4+ years of experience building technical programs from scratch in ML, software engineering, or a scientific field, with demonstrated ability to scope plans and milestones.
  • Possesses practical domain experience in AI/ML, such as coordinating model releases, managing large datasets, or supporting model evaluations in a research environment.
  • Proven track record of delivering complex programs while managing tradeoffs and strategic priorities, especially in fast-paced research settings.
  • Exceptional communication and stakeholder management skills, with experience partnering with researchers and external labs to package and transfer findings.

📝 Tips for Applying to Far.Ai

1

Highlight specific programs you built from scratch, especially those involving ML model releases or dataset management, with metrics on impact.

2

Emphasize your experience working with research teams and managing compute/resource roadmaps – mention any tools or frameworks you used.

3

Tailor your resume to show familiarity with frontier AI research workflows, such as model evaluation pipelines or transfer of findings to production.

4

In your cover letter, explicitly connect your past work to Far.Ai's mission of accelerating AI progress through research-to-deployment pipelines.

5

If you have experience with remote collaboration across time zones, mention it – Far.Ai is fully remote in the US.

✉️ What to Emphasize in Your Cover Letter

['Showcase your ability to take ambiguous research ideas and turn them into structured programs with clear milestones.', "Demonstrate your understanding of AI/ML research challenges, like compute bottlenecks or data management, and how you've solved them.", "Provide an example of how you've communicated technical findings to non-technical stakeholders or external partners.", 'Express enthusiasm for working at a research-focused company and your commitment to advancing AI responsibly.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Research Far.Ai's published papers or blog posts to understand their research focus and recent projects.
  • → Look into their partnerships with frontier labs (e.g., OpenAI, Anthropic) to understand how they transfer findings.
  • → Check their team page to see the background of current researchers and program managers – tailor your application to fit their culture.
  • → Read about their approach to AI safety and ethics, as this may influence program priorities.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Describe a time you managed competing priorities across multiple research teams – how did you decide what to focus on?
2 How would you approach building a compute roadmap for a research project with uncertain resource needs?
3 Tell me about a complex program you delivered from scratch; what were the key milestones and how did you handle delays?
4 How do you facilitate knowledge transfer between research and engineering teams? Give a specific example.
5 What metrics would you use to track progress on a research program that has evolving goals?
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⚠️ Common Mistakes to Avoid

  • Avoid being too vague about your technical background – be specific about ML frameworks, dataset sizes, or model types you've worked with.
  • Don't overlook the research aspect; generic program management experience without AI/ML context won't stand out.
  • Avoid focusing only on deliverables without mentioning how you managed tradeoffs and strategic priorities – this role values decision-making.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Far.Ai!

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