Sieve
Industrial Partnerships Lead, Physical AI
San Francisco · On-site · Full-time · Posted Oct 5, 2026
- Experience
- No overall years-of-experience requirement stated; at least 1 year of engineering experience is preferred.
- Education
- Bachelor’s in CS, STEM, or equivalent practical experience.
About the job
Build industrial partnerships and operate the workforce, quality processes, and tooling that turn factory access into reliable multimodal training data for AI labs.
What you'll do
- Identify, pitch, and close partnerships with factories, manufacturers, and industrial operators, navigating security and compliance.
- Run workforce management, task assignment, QA, sourcing, onboarding, and training for data operations.
- Work with engineering on tooling and operational metrics; document repeatable partnership and operations playbooks.
What they ask for
- Direct relationships into factories, manufacturing, or adjacent industrial environments, or a track record of building them.
- Comfort with data tooling, light scripting, and spreadsheet-level analysis.
- Strong organization and attention to detail, with the ability to manage concurrent work streams.
- Bachelor’s in CS, STEM, or equivalent practical experience; onsite at the San Francisco headquarters.
Nice to have
- Experience managing human-in-the-loop data operations or annotation pipelines.
- At least 1 year of engineering experience or strong technical fluency; prior manufacturing, robotics, factory, PE operations, early-hire, or AI-lab operations experience is also a plus.
AI focus
Support physical AI by collecting and operating on industrial multimodal data for frontier labs.
Model-written summary · the original posting is authoritative