{"id":3230181,"url":"https://alion.io/job/rl-list-product-engineer","title":"Product Engineer","company":{"id":2804891,"name":"RL List","domain":"rl-list.com","url":"https://alion.io/company/rl-list","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":["US","SG"],"hiring_countries_total":2,"salary":{"min":100000,"max":225000,"currency":"USD","period":"year","gross":null,"usd_annual":225000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Reinforcement Learning","optional":false}],"status":"live","first_seen_at":"2026-10-25T07:54:30Z","employer_posted_date":"2026-10-25","last_verified_at":"2026-10-30T21:53:50Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About HUD\nHUD 's mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.\nAbout the role\nWe’re looking for a Product Engineer to turn important, cross-cutting product problems into shipped experiences across HUD’s platform and marketplace. You’ll work with our product, design, engineering, research, and GTM teams to understand where environment creators and research teams get stuck, decide what to improve, and build the solution.\nThis role combines product judgment, interaction design, and full-stack engineering. You’ll move from user conversations and early prototypes to production software, making technically dense workflows clear and useful without losing the detail users need.\nResponsibilities\nTalk with users and internal teams to find friction in creating, testing, evaluating, and discovering RL environments; shape those findings into clear product priorities\n\nDesign, prototype, and ship product improvements across HUD’s platform and marketplace, owning work from problem definition through launch and iteration\n\nMake agent runs, evaluation results, reward signals, and quality feedback easier to understand and act on through thoughtful interfaces and workflows\n\nBuild the frontend and backend pieces needed to improve vendor onboarding, environment submission, review, and discovery for research teams\n\nUse user feedback and product signals to assess what works, refine the experience, and help product, design, and engineering make tradeoffs\n\nExperience\nYou may be a good fit if you have:\nA record of shipping software products end-to-end, from understanding the user problem through implementation and iteration\n\nStrong product judgment: you can identify the problem behind a request, set a useful scope, and make sound tradeoffs with incomplete information\n\nInteraction design skills and a high bar for clarity and usability in complex, technical workflows\n\nFull-stack engineering ability, including building polished web interfaces and the backend services or APIs that support them\n\nComfort talking directly with users and using qualitative feedback and product data to improve what you ship\n\nClear communication and the ability to work closely with product managers, designers, engineers, researchers, and other partners\n\nStrong candidates may also have:\nExperience with developer tools, data-rich products, marketplaces, or products serving distinct groups of users\n\nFamiliarity with AI agents, evaluations, reinforcement learning, or training data\n\nExperience designing workflows for review, debugging, quality feedback, or other complex operational work\n\nExperience finding and owning product gaps in a growing, cross-functional team\n\nWe prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.\nTeam & company details\nTeam Size : ~25 people currently, mostly full-time in-person, but some remote.\n\nOur team: Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.\n\nCompany stage: We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.\n\nLogistics\nEmployment : Full-time.\n\nLocation : We have offices in San Francisco or Singapore but are open to remote candidates who can work hours that 70-80% overlap with either San Francisco or Singapore time zones.\n\nVisa Sponsorship : We provide support for relocation and visas for strong full-time candidates to the US or Singapore.\n\nTimeline : Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.\n\nWhat we offer\nCompetitive compensation\n\n100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)\n\nLunch and dinner for in-office employees\n\nCompany-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays\n\nOther perks including an Equinox membership, 401k, and commuter benefits (US employees) and a health/wellness stipend (Singapore employees)\n\nUnlimited* 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.\n\nTwo top-floor offices in San Francisco’s Union Square and Singapore’s Raffles Place\n\nAnnual travel budget to visit either office\n\nCompensation\nActual offers are adjusted for experience and location, but our base salary bands are\nSan Francisco (and other major US cities): $130,000 - $225,000\n\nSingapore: $100,000 - $170,000\n\nRest of world: $100,000 - $170,000\n\nDue to high volume, we may not actively respond to every application, but feel free to contact us at [[email removed]](mailto:[email removed]) or elsewhere if we missed your application!","description_format":"text","description_chars":5174,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Singapore","iso":"SG","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","Cybersecurity","Incident Response"],"lifecycle":[{"event":"open","at":"2026-10-25T07:54:30Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":4,"expected_fill_days":37,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-10-30T05:48:23Z"},"pay":{"stated_usd_annual":225000,"is_top_pay":true},"html_url":"https://alion.io/job/rl-list-product-engineer","json_url":"https://alion.io/job/rl-list-product-engineer.json","meta":{"generated_at":"2026-10-30T22:31:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13372,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2804891},"rest":"https://alion.io/mcp/rest/get_company?id=2804891"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frl-list-product-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Frl-list-product-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Frl-list-product-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/rl-list-product-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frl-list-product-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3230181}},{"tool":"search_jobs","arguments":{"company":"rl-list.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3230181},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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