Technical Program Manager

Posted 3 Days Ago
Be an Early Applicant
2 Locations
In-Office
Entry level
Artificial Intelligence • Information Technology • Software
The Role
Own end-to-end technical data and evaluation programs for frontier AI labs, coordinating requirements, milestones, vendors, quality assurance, delivery, and retrospectives. Translate ambiguous technical needs into executable plans, improve data quality and production workflows, manage cross-functional dependencies, and partner with research, platform, and marketplace teams to inform product improvements.
Summary Generated by Built In
About HUD

HUD is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs, Fortune 500 companies, and startups. We’ve raised $16M from top VCs and were YC W25.

About the role

We’re looking for a Technical Program Manager to own complex, time-sensitive data and evaluation programs for frontier AI labs, data vendors, and internal teams. You’ll turn ambiguous technical asks into executable programs, coordinate the people and dependencies required to deliver them, and ensure the resulting data is genuinely useful for evaluating and improving LLMs and agents. You’ll also manage vendors and build the processes, tooling, and operating rhythms that allow HUD to deliver reliably at increasing scale.

Responsibilities
  • Own data and evaluation programs end-to-end, from initial scoping and requirements gathering through production, quality assurance, delivery, and retrospective

  • Translate ambiguous requests from AI labs and internal teams into clear specifications such as milestones, owners, dependencies, acceptance criteria, etc.

  • Maintain and improve data quality procedures using both quantitative signals and qualitative inspection, including analyzing task coverage, difficulty, reward distributions, etc.

  • Maintain and improve delivery pipelines at scale, which includes managing external vendors throughout the delivery lifecycle

  • Streamline the logistics behind data production and evaluation programs by improving workflows, documentation, automation, and cross-functional handoffs

  • Partner with research, platform, marketplace teams to translate learnings and feedback into product improvements

Experience

You may be a good fit if you have:

  • Experience owning complex technical programs in AI/ML, data operations, support engineering, applied research, forward-deployed engineering, or a similarly cross-functional environment

  • Strong quantitative and qualitative judgment about data—you can move between aggregate metrics and individual examples to determine whether a dataset or evaluation is useful, reliable, and representative

  • Experience maintaining and improving complex processes, especially within project delivery or data contexts

  • Demonstrated ability to bring structure to ambiguous problems, maintain momentum as requirements change, and make sound tradeoffs without waiting for a perfect specification

  • Strong written and verbal communication skills, including the ability to turn messy technical information into clear decisions, owners, and next steps

Strong candidates may also:

  • Experience with RLHF, reinforcement-learning environments, agent evaluations, human-in-the-loop data pipelines, annotation, or expert data collection

  • Experience supporting frontier AI labs, technical enterprise customers, or research teams with urgent and evolving requirements

  • Early-stage startup experience with ability to work independently in fast-paced environments

We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.

Team & company details
  • Team Size: ~25 people currently, mostly full-time in-person, but some remote.

  • Our team: Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.

  • Company stage: We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.

Logistics
  • Employment: Full-time.

  • Location: We have offices in San Francisco or Singapore but are open to remote candidates who can work hours that 70-80% overlap with either San Francisco or Singapore time zones.

  • Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.

  • Timeline: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.

What we offer
  • Competitive compensation

  • 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)

  • Lunch and dinner when you’re in the office (in-office employees)

  • Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays

  • Other perks including an Equinox membership, 401k, and commuter benefits (US employees)

  • Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.

Due to high volume, we may not actively respond to every application, but feel free to contact us at [email protected] or elsewhere if we missed your application!

Skills Required

  • Experience owning complex technical programs in AI/ML, data operations, support engineering, applied research, forward-deployed engineering, or a similar cross-functional environment
  • Strong quantitative and qualitative judgment about data, including evaluating dataset usefulness, reliability, coverage, difficulty, and representativeness
  • Experience maintaining and improving complex processes, particularly in project delivery or data contexts
  • Ability to structure ambiguous problems, maintain momentum as requirements change, and make sound tradeoffs
  • Strong written and verbal communication skills, including translating technical information into clear decisions, owners, and next steps
  • Experience with RLHF, reinforcement-learning environments, agent evaluations, human-in-the-loop data pipelines, annotation, or expert data collection
  • Experience supporting frontier AI labs, technical enterprise customers, or research teams with urgent and evolving requirements
  • Early-stage startup experience and ability to work independently in a fast-paced environment
Am I A Good Fit?
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The Company
HQ: San Francisco, CA
10 Employees
Year Founded: 2025

What We Do

The all-in-one platform for evaluations on computer use and browser use AI agents.

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