Employer profile
Hud
5 open roles indexed with location, benefit, and apply-link signals where available.
Open roles
Showing the most recent indexed roles for this employer.
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Full-Stack Engineer (Front-End Spike)
San Francisco | Hybrid | Singapore | Remote
hybrid Salary not disclosedFull-Stack Engineer (Front-End Spike) San Francisco | Hybrid | Singapore | Remote 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 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
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Marketing & Events Lead
San Francisco | OnSite
onsite Salary not disclosedMarketing & Events Lead San Francisco | OnSite 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 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
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GTM Engineer
San Francisco | Hybrid | Singapore | Remote
hybrid Salary not disclosedGTM Engineer San Francisco | Hybrid | Singapore | Remote 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
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Research Engineer
San Francisco | Hybrid | Singapore | Remote
hybrid Salary not disclosedResearch Engineer San Francisco | Hybrid | Singapore | Remote 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 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
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Recruiter
San Francisco | OnSite
onsite Salary not disclosedRecruiter San Francisco | OnSite 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 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