Talent Engineer
About the role
HUD's mission is to build reliable, fair and open infrastructure for AI data. We’re hiring a Talent Engineer to hire strong engineers and GTM leaders to keep up with rapid growth, with a focus on scaling while maintaining lean headcount.
Responsibilities
- Own end-to-end recruiting across technical and GTM roles
- Build and optimize recruiting ops and tooling, automating workflows whenever possible
- Partner closely with founders and team leads to define role requirements, evaluation criteria, and interview processes
- Develop a strong understanding of our product to effectively pitch technical candidates
- Source top candidates through high-signal and unconventional channels
- Screen candidates for both technical competence and product/market intuition
- Support onboarding and new hire ramp
- Help define and run performance review processes, leveling, and feedback systems
Qualifications
- Experience hiring engineering, product, and GTM roles
- Comfortable evaluating candidates via portfolios and projects, not just resumes
- Ability to understand and communicate technical concepts well
- Highly organized with ability to manage multiple roles and pipelines
- Strong instincts for talent quality and bar-setting
- Early-stage startup experience with ability to work independently in fast-paced environments
Skills
Benefits
- Competitive compensation
- 100% covered medical, dental, and vision (US and Singapore)
- Lunch and dinner for in-office employees
- Holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays
- Equinox membership, 401k, commuter benefits (US), health/wellness stipend (Singapore)
- Unlimited access to tokens for AI tools (ChatGPT, Claude Code, Cursor, etc.)
- Two top-floor offices in San Francisco and Singapore
- Annual travel budget to visit either office

About hud
Platform for building RL environments and evals
HUD (YC W25) is developing agentic evals and RL environments for Computer Use Agents (CUAs) that browse the web for frontier AI labs. Our CUA Evals framework is the first comprehensive evaluation tool for CUAs. People don't actually know if AI agents are working reliably. To make AI agents work in the real world, we need detailed evals for a huge range of tasks. We're backed by Y Combinator, and work closely with frontier AI labs to provide agent evaluation and training infrastructure at scale.
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