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HUD is building infrastructure for RL training data and evaluations for frontier AI agents, with a marketplace connecting data vendors to frontier labs. The company has raised $16M from top VCs and was part of YC W25.
As Product Manager for the Platform, you will own the marketplace product lifecycle, from discovery through launch and iteration. Your core responsibilities include:
- Own the full marketplace product lifecycle, understanding vendor and buyer needs, prioritizing features, launching, and iterating based on feedback
- Improve vendor experience: streamline onboarding, work submission, quality feedback understanding, and offering management
- Enhance research team workflows: help them discover, assess, and access environments and training data that meet their needs
- Partner with engineering, research, GTM, and operations to translate complex requirements and manual processes into reliable platform workflows
- Define and track marketplace health metrics, product adoption, and user experience; use qualitative and quantitative signals to inform prioritization
You'll work closely with a 25-person team that includes 4 International Olympiad medalists, serial AI startup founders, and researchers with publications at top venues like ICLR and NeurIPS.
The company is scaling profitably with strong demand and has 8 figures in funding. Offices are in San Francisco and Singapore, with flexibility for remote candidates who can maintain 70-80% time zone overlap with either location. Full-time role with visa sponsorship available.
REQUIREMENTS:
- Experience owning a live software product from discovery through launch and iteration
- Strong product judgment and ability to simplify technically complex workflows for users
- Direct user research experience: identifying problems behind requests and translating insights into clear priorities
- Ability to balance user needs, business impact, and engineering constraints in decision-making
- Comfort using both qualitative feedback and quantitative signals to assess product changes
- Clear written communication and ability to align engineers and cross-functional partners around decisions in ambiguous environments
STRONG-TO-HAVE EXPERIENCE:
- Marketplace products or two-sided platform experience
- Familiarity with AI training data, evaluations, and RL environments
- Product function building or establishing product practices on growing teams
- Early-stage startup experience and strong async/distributed team communication skills
The company prioritizes technical aptitude and learning potential over years of experience and encourages motivated candidates to apply even if they don't meet all criteria.
