Product Engineer

Summary

HUD is building infrastructure and a marketplace for reinforcement learning training data and evaluations for frontier AI agents. The Product Engineer will identify cross-cutting product problems and ship solutions across the platform and marketplace, combining product judgment, interaction design, and full-stack engineering. The role involves collaborating with users and cross-functional teams to improve complex workflows for creating, testing, evaluating, and discovering reinforcement learning environments.

Responsibilities

• Talk with users and internal teams to find friction in creating, testing, evaluating, and discovering RL environments; shape those findings into clear product priorities
• Design, prototype, and ship product improvements across HUD’s platform and marketplace, owning work from problem definition through launch and iteration
• Make agent runs, evaluation results, reward signals, and quality feedback easier to understand and act on through thoughtful interfaces and workflows
• Build the frontend and backend pieces needed to improve vendor onboarding, environment submission, review, and discovery for research teams
• Use user feedback and product signals to assess what works, refine the experience, and help product, design, and engineering make tradeoffs

Skills

• A record of shipping software products end-to-end, from understanding the user problem through implementation and iteration
• Strong product judgment: you can identify the problem behind a request, set a useful scope, and make sound tradeoffs with incomplete information
• Interaction design skills and a high bar for clarity and usability in complex, technical workflows
• Full-stack engineering ability, including building polished web interfaces and the backend services or APIs that support them
• Comfort talking directly with users and using qualitative feedback and product data to improve what you ship
• Clear communication and the ability to work closely with product managers, designers, engineers, researchers, and other partners
• Experience with developer tools, data-rich products, marketplaces, or products serving distinct groups of users
• Familiarity with AI agents, evaluations, reinforcement learning, or training data
• Experience designing workflows for review, debugging, quality feedback, or other complex operational work
• Experience finding and owning product gaps in a growing, cross-functional team

Qualifications

Must Haves

• A record of shipping software products end-to-end, from understanding the user problem through implementation and iteration
• Strong product judgment: you can identify the problem behind a request, set a useful scope, and make sound tradeoffs with incomplete information
• Interaction design skills and a high bar for clarity and usability in complex, technical workflows
• Full-stack engineering ability, including building polished web interfaces and the backend services or APIs that support them
• Comfort talking directly with users and using qualitative feedback and product data to improve what you ship
• Clear communication and the ability to work closely with product managers, designers, engineers, researchers, and other partners

Nice to Haves

• Experience with developer tools, data-rich products, marketplaces, or products serving distinct groups of users
• Familiarity with AI agents, evaluations, reinforcement learning, or training data
• Experience designing workflows for review, debugging, quality feedback, or other complex operational work
• Experience finding and owning product gaps in a growing, cross-functional team

Benefits

• Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.
• 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
• Equinox membership (US employees)
• 401k (US employees)
• Commuter benefits (US employees)
• Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc.
• Support for relocation and visas for strong full-time candidates to the US or Singapore
• Remote work for candidates who can work hours that 70-80% overlap with either San Francisco or Singapore time zones