Product Manager, Marketplace

HUD; San Francisco (CA); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive compensation

Top-notch medical, dental, vision

Lunch and dinner when in office

Company-wide holidays

Equinox membership

401k

Commuter benefits

Unlimited token access to AI tools

Job summary

HUD is seeking a Product Manager to own the data marketplace product, enabling data vendors to publish RL environments and training data while helping research teams discover and evaluate offerings. You’ll collaborate with engineering, research, GTM, and operations to translate needs into practical product decisions.

You will influence vendor onboarding, workflow improvements, and marketplace health metrics while shaping the product strategy for a growing marketplace in a fast-paced environment.

Qualifications

• Must have owned a live software product from discovery to launch and iteration.
• Ability to simplify complex workflows for users.
• Experience talking with users to identify underlying problems and set priorities.
• Balance user needs, business impact, and engineering constraints in decisions.
• Use qualitative and quantitative signals to evaluate product changes.
• Strong written communication and cross-team collaboration in ambiguous environments.

Responsibilities

• Own the marketplace product lifecycle from understanding vendor and buyer needs to launch and iterate.
• Improve vendor onboarding, submission, quality feedback, and offerings on HUD.
• Improve discovery, assessment, and access to environments and training data for researchers.
• Translate complex requirements into reliable platform workflows with engineering, research, GTM, and operations.
• Define and track marketplace health, product adoption, and user experience metrics.

Skills

Product ownership

Product judgment

User interviews

Prioritization

Metrics literacy

Clear communication

Job description

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 a Product Manager to own product work for our data marketplace. You’ll make it easier for data vendors to bring high-quality RL environments and training data to HUD, and for research teams to discover, evaluate, and use them. You’ll work closely with engineering, research, and GTM to turn technical and operational needs into product decisions.

Responsibilities

• Own the marketplace product lifecycle, from understanding vendor and buyer needs through prioritization, launch, and iteration




• Improve how vendors onboard, submit work, understand quality feedback, and manage their offerings on HUD




• Improve how research teams discover, assess, and access environments and training data that meet their needs




• Work with engineering, research, GTM, and operations to turn complex requirements and manual processes into reliable platform workflows




• Define and track measures of marketplace health, product adoption, and user experience; use feedback and product data to decide what to build next

Experience

You may be a good fit if you have:

• Experience owning a live software product from discovery through launch and iteration




• Strong product judgment and the ability to simplify technically complex workflows for users




• Experience talking directly with users, identifying the problem behind a request, and turning what you learn into clear priorities




• Ability to balance user needs, business impact, and engineering constraints when making product decisions




• Comfort using qualitative feedback and quantitative signals to assess whether a product change worked




• Clear written communication and the ability to bring engineers and other partners together around decisions in an ambiguous environment

Strong candidates may also have:

• Experience with marketplaces or products serving two distinct groups of users




• Familiarity with AI training data, evaluations, and RL environments




• Experience building a product function or establishing product practices on a growing team




• Early-stage startup experience and strong communication skills for collaboration across teams and time zones

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 [e-mail] or elsewhere if we missed your application!