{"schemaVersion":"jobsearcher.job.v1","id":"c4faa8fe7d933f166fd578a0","url":"https://jobsearcher.com/jobs/c4faa8fe7d933f166fd578a0","canonicalUrl":"https://jobsearcher.com/jobs/c4faa8fe7d933f166fd578a0","title":"Senior Technical Program Manager, Robotics","description":"Your Impact at LILA\nYou 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.\nWhat You'll Be Building\nDrive the Physical AI Platform roadmap: sequence delivery across teams, with clear milestones and owners.\nCoordinate cross-team dependencies: map the critical path, surface blockers, and unblock work before it slips.\nOwn reliability & scalability programs: stand up SLOs, launch-readiness reviews, and capacity planning.\nTrack risk end to end: maintain a living risk register and drive incident follow-through to closure.\nAlign stakeholders: keep the teams who depend on the platform current on scope and trade-offs.\nCoordinate releases: run release and change coordination so launches are predictable.\nRaise operational rigor: establish the rituals — status, escalation paths, decision records — that keep delivery honest.\nWhat You'll Need to Succeed\nPlatform program management: 4–8 years of technical program management for platform or infrastructure software across multiple teams.\nDependency & risk mastery: managing cross-team dependencies, critical paths, and risk registers on multi-quarter programs.\nReliability fluency: hands-on with SLOs, launch readiness, capacity planning, or release/incident processes.\nTechnical credibility: enough depth to engage backend, platform/SRE, and QA engineers on real trade-offs.\nInfluence without authority: proven ability to drive delivery and hard decisions across teams you don't manage.\nClear communication: you translate fluidly between engineers and non-technical stakeholders.\nBonus Points For\nSystems 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.\nScientific or lab-automation context: robotics, hardware-in-the-loop, or lab/scientific computing environments.\nSRE-adjacent depth: observability, on-call, and incident management practice.\nData-platform exposure: programs spanning data pipelines, capacity/cost planning, or ML/AI infrastructure.\nAbout LILA\nLila 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.\nLILA 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. Learn more at www.lila.ai.\nGuided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.\nWe're All In\nLila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\nInformation you provide during your application process will be handled in accordance with our Candidate Privacy Policy.\nA Note to Agencies\nLila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.","company":"Lila Sciences","rawCompany":"lila sciences","city":"Somerville","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-08-11T11:28:25.820Z","occupations":[{"code":"15-1299.09","title":"Information Technology Project Managers","slug":"information-technology-project-managers"},{"code":"13-1082.00","title":"Project Management Specialists","slug":"project-management-specialists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Technical Program Manager, Robotics","description":"Your Impact at LILA\nYou 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.\nWhat You'll Be Building\nDrive the Physical AI Platform roadmap: sequence delivery across teams, with clear milestones and owners.\nCoordinate cross-team dependencies: map the critical path, surface blockers, and unblock work before it slips.\nOwn reliability & scalability programs: stand up SLOs, launch-readiness reviews, and capacity planning.\nTrack risk end to end: maintain a living risk register and drive incident follow-through to closure.\nAlign stakeholders: keep the teams who depend on the platform current on scope and trade-offs.\nCoordinate releases: run release and change coordination so launches are predictable.\nRaise operational rigor: establish the rituals — status, escalation paths, decision records — that keep delivery honest.\nWhat You'll Need to Succeed\nPlatform program management: 4–8 years of technical program management for platform or infrastructure software across multiple teams.\nDependency & risk mastery: managing cross-team dependencies, critical paths, and risk registers on multi-quarter programs.\nReliability fluency: hands-on with SLOs, launch readiness, capacity planning, or release/incident processes.\nTechnical credibility: enough depth to engage backend, platform/SRE, and QA engineers on real trade-offs.\nInfluence without authority: proven ability to drive delivery and hard decisions across teams you don't manage.\nClear communication: you translate fluidly between engineers and non-technical stakeholders.\nBonus Points For\nSystems 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.\nScientific or lab-automation context: robotics, hardware-in-the-loop, or lab/scientific computing environments.\nSRE-adjacent depth: observability, on-call, and incident management practice.\nData-platform exposure: programs spanning data pipelines, capacity/cost planning, or ML/AI infrastructure.\nAbout LILA\nLila 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.\nLILA 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. Learn more at www.lila.ai.\nGuided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.\nWe're All In\nLila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\nInformation you provide during your application process will be handled in accordance with our Candidate Privacy Policy.\nA Note to Agencies\nLila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.","datePosted":"2026-08-11T11:28:25.820Z","dateModified":"2026-08-11T11:28:25.820Z","hiringOrganization":{"@type":"Organization","name":"Lila Sciences","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Somerville","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c4faa8fe7d933f166fd578a0"},"url":"https://jobsearcher.com/jobs/c4faa8fe7d933f166fd578a0"}}