Senior Technical Program Manager, Robotics

Your Impact at LILA 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. 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. Compensation We 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 About LILA Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.…