Senior Technical Program Manager, Robotics

You will be the program owner for Physical AI — the shared infrastructure our autonomous labs run on. Working across multiple engineering teams, you'll turn the platform roadmap into a sequenced, dependency-aware plan, own the reliability and scalability programs — SLOs, launch readiness, capacity planning — and be the clear line to the teams who depend on the platform. This is an influence-without-authority role: your leverage comes from rigor, judgment, and trust.

• Drive the Physical AI Platform roadmap: sequence delivery across teams, with clear milestones and owners.
• Coordinate cross-team dependencies: map the critical path, surface blockers, and unblock work before it slips.
• Own reliability & scalability programs: stand up SLOs, launch-readiness reviews, and capacity planning.
• Track risk end to end: maintain a living risk register and drive incident follow-through to closure.
• Align stakeholders: keep the teams who depend on the platform current on scope and trade-offs.
• Coordinate releases: run release and change coordination so launches are predictable.
• Raise operational rigor: establish the rituals — status, escalation paths, decision records — that keep delivery honest.

• Platform program management: 4–8 years of technical program management for platform or infrastructure software across multiple teams.
• Dependency & risk mastery: managing cross-team dependencies, critical paths, and risk registers on multi-quarter programs.
• Reliability fluency: hands-on with SLOs, launch readiness, capacity planning, or release/incident processes.
• Technical credibility: enough depth to engage backend, platform/SRE, and QA engineers on real trade-offs.
• Influence without authority: proven ability to drive delivery and hard decisions across teams you don't manage.
• Clear communication: you translate fluidly between engineers and non-technical stakeholders.

• Systems engineering & regulated-industry programs: a systems-thinking background and program experience in regulated, safety-critical domains — aerospace, manufacturing, or healthcare/life sciences. Exposure to validation/V&V regimes (GAMP 5 / FDA CSA, DO-178C) or enterprise-to-shop-floor integration (ISA-95) a plus.
• Scientific or lab-automation context: robotics, hardware-in-the-loop, or lab/scientific computing environments.
• SRE-adjacent depth: observability, on-call, and incident management practice.
• Data-platform exposure: programs spanning data pipelines, capacity/cost planning, or ML/AI infrastructure.

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