hud

About HUD HUD 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 We’re looking for a full-stack engineer who spikes in front-end to build a polished user experiences for a high-performing product. Responsibilities Build and ship end-to-end product features across frontend and backend, with a strong emphasis on user experience Translate product and design requirements into high-quality, intuitive user interfaces with strong attention to detail Optimize applications for performance, responsiveness, and cross-browser compatibility Develop and maintain backend services and APIs that power core product functionality Talk directly with customers, understand their workflows, and turn messy real world feedback into product improvements Experience You may be a good fit if you have: Strong experience owning products end-to-end and working across the stack Evidence of rapid learning and adaptability in technical environments (e.g., programming competitions) A portfolio of shipped products, side projects, or live demos that demonstrate your frontend craftsmanship Startup experience in early-stage technology companies with ability to work independently in fast-paced environments Familiarity with current AI tools and LLM capabilities Strong communication skills for remote collaboration across time zones Strong candidates may also have: A standout portfolio showcasing exceptional UI/UX work, interaction design, or creative engineering Experience with reinforcement learning, post-training, or model training workflows Familiarity with product analytics tools and experimentation (e.g., A/B testing) 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 1-week 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 if we missed your application!

About HUD HUD 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 Startup experience in early-stage technology companies 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 the AI/ML ecosystem, e.g., you know what evals are, what RL is, and why researchers care 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 1-week 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 if we missed your appl

About HUD HUD 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 We’re hiring a marketing & events lead to tell HUD’s story. In particular, you’ll highlight how our marketplace model surfaces data that otherwise would not have access to frontier labs and enterprises and why we believe the future of RL training should be open. Responsibilities Own and execute the overall marketing strategy and content calendar Lead social media presence on Twitter/X and LinkedIn to grow our audience, engagement, and inbound interest Ghostwrite high-quality content for founders that tell HUD’s story, communicate product vision and insights, and showcases wins on the platform Translate complex, technical product concepts into clear, compelling narratives for a technical audience Develop and refine HUD’s voice, positioning, and storytelling across channels Experiment with different formats (e.g., posts, short-form video, memes) and double down on what works Identify high-leverage opportunities to show up at events where the target audience already is (e.g., conferences, hackathons, technical communities) Plan and run high-quality, memorable events that reinforce brand and generate pipeline Support the founders and team with event presence (e.g., talks) Experience You may be a good fit if you have: Genuine excitement about frontier models and telling HUD’s story Experience in marketing, content, or community roles in startups A strong track record of growing social accounts or company branding A portfolio of writing that showcases your ability Evidence that you can understand technical products well enough to explain them simply and accurately Experience planning and running events Strong organizational skills and the ability to own multiple workstreams Startup experience in early-stage technology companies with ability to work independently in fast-paced environments Strong candidates may also have: Experience marketing AI/ML, developer tools, or technical platforms A standout portfolio of writing, social content, or campaigns Experience running events, meetups, or community programs end-to-end Strong network within the RL researcher, RL engineer, and broader startup communities Familiarity with analytics tools and growth strategies for social and content A clear point of view on how great technical companies tell stories and build brand 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 1-week 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

About HUD HUD 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 We’re hiring a recruiter to hire strong engineers and GTM leaders so we can keep up with our rapid growth. That said, our bar is high because we believe HUD will only be 30-40 people in an end state - our marketplace model means scaling revenue does not rely on scaling headcount. Your challenge is to identify and sign these exceptional talent. 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 You may be a good fit if you: Have experience hiring engineering, product, and GTM roles Are comfortable evaluating candidates via portfolios and projects, not just resumes Can understand and communicate technical concepts well enough to engage credibly with candidates Are highly organized and can manage multiple roles and pipelines simultaneously Have strong instincts for talent quality and bar-setting Have startup experience in early-stage technology companies with ability to work independently in fast-paced environments Strong candidates may also have: A track record of sourcing creatively Familiarity with Ashby, Juicebox, and Clay Experience with vibe coding and using AI to automate workflows Exposure to or ownership of people/HR functions Experience evaluating non-traditional candidate profiles 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 preferred, open to fractional for exceptional candidates. 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 1-week 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 if we missed your application!

About HUD HUD 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 We're looking for research engineers to help build out QA for training data created by companies using HUD’s infrastructure. You’ll build the systems that scale quality to help us meet our continued strong demand. Responsibilities Define and enforce quality standards for training data Build tooling and workflows to audit supplier-generated datasets, including sampling strategies, validation pipelines (rule-based and model-assisted), and feedback loops Determine if and how human-in-the-loop review workflows can be used to optimize QA Partner with data vendors to debug quality issues, provide actionable feedback, and improve their data generation processes Continuously integrate QA learnings into infrastructure tools and data vendor portal to reduce anomalies, inconsistencies, and edge cases Experience You may be a good fit if you have: Proficiency in Python, Docker, and Linux environments Worked with large-scale datasets Evidence of rapid learning and adaptability in technical environments (e.g., programming competitions) Startup experience in early-stage technology companies with ability to work independently in fast-paced environments Familiarity with current AI tools and LLM capabilities Strong communication skills for remote collaboration across time zones Strong candidates may also: Understand of common failure modes in training data Have experience building data validation pipelines and/or human-in-the-loop review systems Be detail-oriented and able to spot subtle inconsistencies or edge cases in data Be comfortable designing metrics, experiments, and QA processes, not just executing them 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 1-week 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 if we missed your application!