{"id":426718,"url":"https://alion.io/job/build-ai-product-lead","title":"Product Lead","company":{"id":456056,"name":"Build AI","domain":"build.ai","url":"https://alion.io/company/build-ai","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Product","role_family":"Product","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":true,"has_equity":false,"technologies":[{"name":"Claude","optional":true}],"status":"live","first_seen_at":"2026-08-30T02:49:06Z","employer_posted_date":"2026-08-30","last_verified_at":"2026-11-10T11:45:04Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":72},"description":"About Build AI\nBuild AI is the data hyperscaler for Physical AI. We're vertically integrated across hardware, manufacturing, logistics, collection, and model training to scale the physical labor dataset orders of magnitude faster than anyone in the world.\nJob Summary\nWe are hiring a Product Lead to own the product that applies deep learning to physical labor businesses and then scales it country by country. This is not a VP of Product seat. You decide what we ship, who it is for, and how it gets into the hands of operators doing the real job - collection hardware, the customer product, and the field workflows in between.\nKey Responsibilities\nDefine and ship the product that brings models trained on in-the-wild labor data into real workplaces\n\nSit at the intersection of research, software, Shenzhen hardware, and field ops so collection, models, and the customer product are one system, not three roadmaps\n\nOwn 0→1 site and country expansion: standup checklists, operator UX, device + software kits, and the path from first factory to repeatable rollout\n\nTalk to operators and customers, then turn that into a roadmap you actually ship - not a deck\n\nSet quality, latency, and operational bars so the product works on a job site, not only in a demo\n\nWork with Data Compliance and marketplace incentives so consent, pay, and collection live in the product, not as afterthoughts\n\nYou may be a good fit if you have (Must-have qualifications)\nYou have owned a product 0→1, ideally in a messy real-world or operations-heavy domain\n\nComfortable with ML / deep learning as a product surface, not only as a research paper\n\nYou can work with engineers and field/ops teams without a large product org under you\n\nBias toward shipping and scaling, including internationally\n\nYou want to solve physical labor, not build another dashboard company\n\nStrong candidates may also have experience with (Nice-to-have qualifications)\nExperience standing up operations or deployments for a physical product at an early-stage company\n\nFamiliarity with data collection or evaluation workflows for ML\n\nExperience taking a product into new countries without a large product org\n\nYou have hired or managed engineers as a player-coach\n\nBenefits\nCompetitive pay\n\nMedical, dental, and vision packages with generous premium coverage\n\n$500 per month credit for waiving medical benefits\n\nHousing subsidy of $2k per month for those living within walking distance of the office\n\nRelocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)\n\nVarious wellness benefits covering fitness, mental health, and more\n\nDaily lunch and dinner in our office\n\nUnlimited compute budget subject to ROI justification\n\nUnlimited Codex and Claude credits\n\nTravel\n\nHow we're different\nBuild believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.\nWe are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.\nBuild AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. 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