HUD is a platform for building high-quality post-training datasets.
ABOUT HUD HUD https://www.hud.ai/ is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs, Fortune 500 companies, and startups. We’ve raised $15M from top VCs and were YC W25. ABOUT THE ROLE HUD's product sells itself to the right person. Your challenge is finding and selling to them at scale. The buyers of HUD’s data are ML engineers, AI researchers, and engineering leaders at frontier labs and enterprises. They respond not to traditional SaaS outreach, but to someone who understands what they're building, why their current eval pipeline is broken, and how HUD fixes it. That’s why we’re looking for a GTM Engineer who can both carry technical conversations and close - and do so at scale. We’re looking for systems builders, not just salespeople. RESPONSIBILITIES - Own HUD's outbound pipeline end-to-end - targeting, enrichment, outreach, follow-up, and meeting booking - Build and maintain GTM workflows (e.g., outbound email sequencing, CRM automation, lead scoring, custom tooling, inbound lead qualification) - Use AI tools aggressively to 10x your output (e.g., vibe code scrapers, automate workflows, build internal tools) - Develop and iterate on messaging that resonates with technical buyers, including ML engineers, AI researchers, and engineering leaders - Quickly learn new prospect businesses / industries and understand their pain points, workflows, and why HUD matters to them - Track pipeline metrics and optimize conversion at every stage - Work closely with founders to develop and refine our GTM playbook as we scale EXPERIENCE You may be a good fit if you have: - Demonstrated ability to build and run a GTM motion with real, measurable results - A strong track record of closing deals - A CS or engineering background, or you vibe-code extensively on the side - Deep familiarity with GTM tooling - Strong written communication that technical people actually respond to - Early-stage startup experience with ability to work independently in fast-paced environments Strong candidates may also have: - Experience selling developer tools, infrastructure, or ML/AI products - History of building outbound systems using tools like Clay, Apollo, or custom automation - Familiarity with RL, e.g., you know what environments, evals, and benchmarks are - Evidence of creative, high-leverage approaches to pipeline generation We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria. TEAM & COMPANY DETAILS - Team Size: ~15 people currently, mostly full-time in-person, but some remote. - Our team: Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc. - Company stage: We have 8 figures in funding and high revenue growth. We’re scaling profitably and quickly to meet very strong demand. LOGISTICS - Employment: Full-time. - Location: On-site in the San Francisco Bay Area. - Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to the US. - Timeline: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial. WHAT WE OFFER - Competitive compensation - 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA - Lunch and dinner when you’re in the office - Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays - Other perks including an Equinox membership, 401k, and commuter benefits - Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is. Due to high volume, we may not actively respond to every application, but feel free to contact us at recruiting@hud.so or elsewhere if we missed your application!