Senior Technical Program Manager, Robotics

About the role

You will be the program owner for Physical AI - the shared infrastructure our autonomous labs run on. Working across multiple engineering teams, you will turn the platform roadmap into a sequenced, dependency-aware plan that balances throughput and reliability. You will own the reliability and scalability programs - SLOs, launch readiness, capacity planning - and serve as the clear line to the teams who depend on the platform. This is an influence-without-authority role where your leverage comes from rigor, judgment, and trust. You will coordinate cross-team execution, manage risk end to end, and raise operational rigor through clear rituals and decision records.

Key facts

What you'll do

• Drive the Physical AI platform roadmap by sequencing delivery across teams with clear milestones and owners.
• Coordinate cross-team dependencies by mapping the critical path and surfacing blockers before they turn into delays.
• Own reliability and scalability programs by standing up SLOs, launch-readiness reviews, and capacity planning.
• Track risk end to end by maintaining a living risk register and driving incident follow-through to closure.
• Align stakeholders by keeping the teams who depend on the platform current on scope and trade-offs.
• Coordinate releases by running release and change coordination so launches are predictable and well-orchestrated.
• Raise operational rigor by establishing status rhythms, escalation paths, and decision records that keep delivery honest.
• Partner closely with engineering to translate platform constraints into actionable plans for robotic and lab-automation workloads.
• Facilitate cross-functional ceremonies to ensure visibility into timelines, risks, and dependencies for both technical and non-technical audiences.
• Act as the central point for dependency management, ensuring that capacity, data, and infrastructure needs are visible early.

Requirements

• Bring 4-8 years of technical program management experience for platform or infrastructure software across multiple teams.
• Demonstrate mastery of managing cross-team dependencies, critical paths, and risk registers on multi-quarter programs.
• Show hands-on fluency with SLOs, launch readiness, capacity planning, and release or incident processes.
• Possess enough technical depth to engage backend, platform/SRE, and QA engineers on real trade-offs.
• Prove ability to drive delivery and hard decisions across teams you do not manage.
• Communicate clearly and fluidly between engineers and non-technical stakeholders.
• Have experience turning high-level objectives into sequenced plans with owners, milestones, and measurable outcomes.
• Be comfortable working in a fast-moving environment where priorities evolve with scientific and operational needs.

Nice to have

• A systems-thinking background and program experience in regulated, safety-critical domains such as aerospace, manufacturing, or healthcare/life sciences.
• Exposure to validation or verification regimes (GAMP 5 / FDA CSA, DO-178C) or enterprise-to-shop-floor integration (ISA-95).
• Context in robotics, hardware-in-the-loop, or lab-scientific computing environments.
• SRE-adjacent depth in observability, on-call, and incident management practice.
• Experience with data-platform programs that span data pipelines, capacity and cost planning, or ML/AI infrastructure.

Practical notes

• This is a full-time role based in Cambridge, Massachusetts.
• U.S. compensation includes competitive base, bonus potential, and early-stage equity. International benefits are tailored to region and local market.
• U.S. benefits for full-time employees include medical, dental, and vision coverage; employer-paid life and disability insurance; generous paid time off; parental leave; educational assistance; commuter benefits including bike share memberships for office-based employees; and a company subsidized lunch program.
• Compensation details and specific equity offers are provided during the hiring process and reflect background, expertise, and expected impact.
• Visa sponsorship may be considered for eligible candidates in accordance with U.S. authorization requirements.
• Applicants are encouraged to disclose any accessibility needs during the interview process.
• Role responsibilities may evolve as the Physical AI platform and laboratory operations grow.
• The successful candidate will partner closely with robotics, SRE, and scientific computing teams to ensure platform reliability and scalability.
• Decision records and status rituals will be introduced to maintain transparency and accountability across programs.