Your Impact at LILAYou 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.
What You'll Be Building- 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.
What You'll Need to Succeed- 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.
Bonus Points For- 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.
CompensationWe offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$192,000-$238,000 USD
