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Recruiter at HUD | San Francisco

HUDSan Francisco
On-site Full-time

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Experience Level

Experience

About the job

HUD builds infrastructure for reinforcement learning (RL) training data and evaluations, supporting AI agents at scale. The company operates a marketplace that connects research labs with major industry partners. Backed by $15M from leading venture capital firms and part of Y Combinator's W25 batch, HUD is growing in San Francisco.

Role overview

This recruiter position focuses on attracting and hiring top engineers and go-to-market leaders. HUD plans to keep the team lean, aiming for 30-40 employees, and relies on a marketplace model to support revenue growth without a large increase in headcount. The recruiter will play a key role in finding and onboarding exceptional talent as the company scales.

What you will do

  • Manage full-cycle recruiting for technical and go-to-market positions
  • Improve recruiting operations and tools, including process automation
  • Collaborate with founders and team leads to define job requirements, evaluation criteria, and interview processes
  • Develop a strong understanding of HUD's product to engage technical candidates
  • Source candidates using creative and effective methods
  • Assess candidates for both technical skills and market understanding
  • Support onboarding and integration for new hires
  • Help create and implement performance review and feedback systems

Requirements

  • Experience hiring for engineering, product, and go-to-market roles
  • Ability to evaluate candidates through portfolios and project work, not just resumes
  • Comfort communicating technical concepts to candidates
  • Strong organizational skills for managing multiple roles and pipelines
  • Good judgment in assessing talent and maintaining high standards
  • Background in early-stage tech startups and ability to adapt to rapid growth

Bonus qualifications

  • Creative sourcing experience
  • Familiarity with tools like Ashby, Juicebox, or Clay

About HUD

HUD is a pioneering company focused on AI and machine learning, creating essential infrastructure for training data and evaluations for advanced AI agents, while also operating a marketplace to facilitate transactions with top labs.

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