Build 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.
Job SummaryWe 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.
Key ResponsibilitiesDefine and ship the product that brings models trained on in-the-wild labor data into real workplaces
Sit at the intersection of research, software, Shenzhen hardware, and field ops so collection, models, and the customer product are one system, not three roadmaps
Own 0→1 site and country expansion: standup checklists, operator UX, device + software kits, and the path from first factory to repeatable rollout
Talk to operators and customers, then turn that into a roadmap you actually ship — not a deck
Set quality, latency, and operational bars so the product works on a job site, not only in a demo
Work with Data Compliance and marketplace incentives so consent, pay, and collection live in the product, not as afterthoughts
You have owned a product 0→1, ideally in a messy real-world or operations-heavy domain
Comfortable with ML / deep learning as a product surface, not only as a research paper
You can work with engineers and field/ops teams without a large product org under you
Bias toward shipping and scaling, including internationally
You want to solve physical labor, not build another dashboard company
Experience standing up operations or deployments for a physical product at an early-stage company
Familiarity with data collection or evaluation workflows for ML
Experience taking a product into new countries without a large product org
You have hired or managed engineers as a player-coach
Competitive pay
Medical, dental, and vision packages with generous premium coverage
$500 per month credit for waiving medical benefits
Housing subsidy of $2k per month for those living within walking distance of the office
Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)
Various wellness benefits covering fitness, mental health, and more
Daily lunch and dinner in our office
Unlimited compute budget subject to ROI justification
Unlimited Codex and Claude credits
Travel
Build believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.
We 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.
Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. Questions: [email protected]
Skills Required
- Experience owning a product from 0 to 1, ideally in a messy, real-world, or operations-heavy domain
- Comfort working with machine learning or deep learning as a product surface
- Ability to work with engineering and field operations teams without a large product organization
- Bias toward shipping and scaling products internationally
- Experience standing up operations or deployments for a physical product at an early-stage company
- Familiarity with data collection or evaluation workflows for machine learning
- Experience taking a product into new countries without a large product organization
- Experience hiring or managing engineers as a player-coach
What We Do
Build AI is a public benefit corporation and data hyperscaler for Physical AI. It integrates hardware manufacturing, logistics, data collection, and model training to scale egocentric physical-labor datasets for researchers and labs. Its mission is to solve physical labor and unlock human potential, advancing robotics and physical superintelligence. The company operates in San Francisco and Shenzhen and develops economically useful human-data infrastructure.
