Product Lead
Company websitebuild.ai (Build AI, opens in new tab)
Base salary $200K to $300K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (33 min ago) · observed since
About this job
About Build AI
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 Summary
We 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 Responsibilities
Define 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 may be a good fit if you have (Must-have qualifications)
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
Strong candidates may also have experience with (Nice-to-have qualifications)
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
Benefits
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
How we're different
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]
Source: Build AI on Ashby · View original posting (opens in new tab)
This listingProduct Lead$200K to $300K
ML Engineer, Inference Optimization$200K to $320K
Software Engineer, Scaling$180K to $300K
Software Engineer, Generalist$180K to $300K
Data Scientist, Marketplace Incentives$180K to $280K
Lead Engineer, ML Data Infrastructure & Systems$220K to $350K
Software Engineer, Data Visualization$180K to $300K
Chart as a table
| Role | Published base |
|---|---|
| Product Lead (this listing) | $200K - $300K |
| ML Engineer, Inference Optimization | $200K - $320K |
| Software Engineer, Scaling | $180K - $300K |
| Software Engineer, Generalist | $180K - $300K |
| Data Scientist, Marketplace Incentives | $180K - $280K |
| Lead Engineer, ML Data Infrastructure & Systems | $220K - $350K |
| Software Engineer, Data Visualization | $180K - $300K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-08-30
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 200,000 – 300,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
