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About the Role
HUD is seeking a Product Engineer to address significant product challenges and deliver user experiences across its platform and marketplace. This role involves collaborating with various teams to identify user pain points, define product improvements, and implement solutions, blending product judgment, interaction design, and full-stack engineering.
Responsibilities
- Identify friction points in creating, testing, evaluating, and discovering RL environments through user and internal team discussions, and translate these into product priorities.
- Design, prototype, and launch product enhancements for HUD's platform and marketplace, managing the entire lifecycle from problem definition to iteration.
- Enhance the clarity and usability of agent runs, evaluation results, reward signals, and quality feedback through intuitive interfaces and workflows.
- Develop frontend and backend components to streamline vendor onboarding, environment submission, review, and discovery for research teams.
- Utilize user feedback and product data to evaluate effectiveness, refine user experiences, and inform product, design, and engineering trade-offs.
Requirements
- Proven track record of shipping software products end-to-end, from user problem identification through implementation and iteration.
- Strong product judgment, including identifying underlying issues, scoping effectively, and making sound trade-offs with incomplete information.
- Interaction design skills with a focus on clarity and usability in complex technical workflows.
- Full-stack engineering capabilities, including building polished web interfaces and supporting backend services or APIs.
- Comfort engaging directly with users and leveraging qualitative feedback and product data for improvements.
- Clear communication skills and ability to collaborate effectively with product managers, designers, engineers, researchers, and other partners.
- Experience with developer tools, data-rich products, marketplaces, or products serving distinct user groups is a plus.
- Familiarity with AI agents, evaluations, reinforcement learning, or training data is advantageous.
- Experience designing workflows for review, debugging, quality feedback, or complex operational tasks is beneficial.
- Experience identifying and owning product gaps within a growing, cross-functional team is desirable.
Skills
- Product Judgment
- Interaction Design
- Full-Stack Engineering
- Web Interface Development
- Backend Service Development
- API Development
- User Feedback Analysis
- Product Data Analysis
- Communication
- Collaboration
- Developer Tools
- Data-Rich Products
- Marketplaces
- AI Agents
- Evaluations
- Reinforcement Learning
- Training Data
- Workflow Design
- Debugging
- Quality Feedback
- Operational Work
Location
- San Francisco
- Singapore
- Remote
Work Type
- Full-time
- Remote
Experience Level
- Technical aptitude and learning potential prioritized over years of experience
Salary/Compensations
- Competitive compensation
Benefits
- 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)
- Lunch and dinner when 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
- 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
About the Company
- HUD is building infrastructure for RL training data and evaluations for frontier AI agents, along with a marketplace to sell these to frontier labs.
- The platform serves frontier labs, Fortune 500 companies, and startups.
- HUD has raised $16M from top VCs and was part of YC W25.
- The team consists of approximately 25 people, including International Olympiad medalists, serial AI startup founders, and researchers with publications at top AI conferences.
- The company has 8 figures in funding and is experiencing profitable and rapid scaling due to strong demand.