Physical Intelligence
Learning & Development Lead, Operations
San Francisco
Sponsorship not specified$30k-$60kDetected 2 days ago
Robotics
Stay score
odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70
Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
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About the role
- This person is responsible for designing and running the systems that take a new operator from candidate work trial through their first 30-60 days, with the goal of getting people productive quickly while maintaining a high quality bar.
- This is a highly operational training role.
- We are looking for someone who has built or owned training programs for hourly or frontline employees and knows how to turn complex work into a simple, repeatable learning process.
Responsibilities
- Own the operator work-trial program and ensure candidates are evaluated consistently.
- Maintain clear trial standards, evaluator guidance, and scoring criteria.
- Partner with recruiting and operations to continuously improve what the trial predicts about future operator success.
- Build and run onboarding from day one through the first 30-60 days.
- Create training plans, checklists, certification steps, and readiness milestones.
- Identify struggling operators early and create clear paths for remediation.
- Partner with researchers and operations teams when new robot tasks, systems, or processes are introduced.
- Design the rollout plan needed to train a large operator population quickly.
Requirements
- Experience owning training, onboarding, or workforce development programs for hourly or frontline employees.
- Demonstrated ability to get new employees productive quickly.
- Experience in robotics is not required.
Skills
- Learning & Development Lead - Operations
Compensation
- $30k-$60k
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This listing is sourced directly from Physical Intelligence's careers page and normalized into a canonical job model.