Engineering Full-time

GTM Engineer

apartment HUD
location_on San Francisco, California, United States
schedule Posted 4/24/2026

About the Role

Join HUD as a GTM Engineer and help shape the future of AI infrastructure. If you thrive at the intersection of technical sales and systems building, this is your chance to drive impact at a fast-growing, VC-backed startup powering the next generation of frontier AI labs and enterprises. ❖ About HUD HUD is redefining how RL training data and evaluation pipelines are built and delivered for frontier AI agents. Our platform and marketplace are trusted by leading AI labs, Fortune 500 companies, and innovative startups. Backed by $15M from top VCs and a YC W25 alum, HUD is scaling rapidly to meet surging demand. ❖ About the GTM Engineer Role As a GTM Engineer B2B SaaS, you’ll own HUD’s outbound pipeline end-to-end—targeting, enrichment, cold outbound, and meeting booking. Your mission: connect with ML engineers, AI researchers, and engineering leaders who need better eval pipelines and show them how HUD solves their toughest challenges. This is not traditional SaaS sales; you’ll leverage your technical background to engage deeply with prospects and close deals at scale. ❖ Key Responsibilities - Build and manage GTM workflows, including outbound email sequencing, CRM automation, lead scoring, and custom tooling - Aggressively use AI tools (e.g., code scrapers, workflow automation, internal tool development) to 10x your output - Develop and iterate on messaging that resonates with technical buyers in the AI/ML ecosystem - Rapidly learn new industries and prospect pain points to tailor your approach - Track pipeline metrics and optimize conversion at every stage - Collaborate closely with founders to refine our GTM playbook as we scale ❖ What We’re Looking For - Proven ability to build and run a GTM motion with measurable results - Strong track record of closing deals in B2B SaaS or developer tools - Technical background (CS, engineering, or extensive coding experience) - Deep familiarity with GTM tooling (HubSpot, Clay, Apollo, custom automation) - Exceptional written communication that resonates with technical audiences - Startup experience and ability to work independently in fast-paced environments Bonus points for: - Experience selling developer tools, infrastructure, or ML/AI products - Building outbound systems using tools like Clay, Apollo, or custom automation - Familiarity with RL, evals, and the AI/ML research landscape - Creative, high-leverage approaches to pipeline generation We value technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if you don’t meet every requirement. ❖ Team & Company Details - Team of ~15, mostly full-time in-person with some remote - Includes International Olympiad medalists, serial AI founders, and published researchers (ICLR, NeurIPS) - 8-figure funding, high revenue growth, and scaling profitably ❖ Logistics & Benefits - Full-time, on-site in the San Francisco Bay Area - Visa sponsorship and relocation support for strong candidates - Competitive compensation - 100% covered top-tier medical, dental, and vision (Blue Shield of CA) - Lunch and dinner provided in-office - Company-wide holiday break (Christmas Eve to New Year’s Day), PTO, and paid holidays - Equinox membership, 401k, commuter benefits - Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, and more (*no one has ever hit a limit) ❖ Ready to Build the Future of AI? If you’re a systems builder who loves technical sales and wants to shape the future of AI infrastructure, we want to hear from you. Apply now to join HUD as a GTM Engineer and make your mark on the frontier of AI. Due to high volume, we may not respond to every application, but feel free to reach out at recruiting@hud.so if you think we missed you! [META]: GTM Engineer B2B SaaS role at HUD—drive technical sales, build outbound systems, and shape AI infrastructure with a top-tier team in SF Bay Area.

Technical Stack in Use

Technology
GTM Engineer
Technology
Outbound
Technology
CRM
Technology
Clay
Technology
Apollo
Technology
Automation
Technology
ML
Technology
AI