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.
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. Learn more at www.lila.ai.
Guided 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.
We’re All In
Lila 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.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila 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.
Skills Required
- 4-8 years technical program management for platform or infrastructure software across multiple teams
- Managing cross-team dependencies, critical paths, and risk registers on multi-quarter programs
- Hands-on experience with SLOs, launch readiness, capacity planning, or release/incident processes
- Technical credibility to engage backend, platform/SRE, and QA engineers on trade-offs
- Proven ability to influence without authority and drive delivery across teams you do not manage
- Clear communication translating between engineers and non-technical stakeholders
- Systems engineering and regulated-industry program experience (aerospace, manufacturing, healthcare/life sciences), exposure to validation/V&V regimes
- Experience in scientific or lab-automation contexts, robotics, or hardware-in-the-loop environments
- SRE-adjacent experience: observability, on-call, incident management practice
- Exposure to data-platform programs spanning data pipelines, capacity/cost planning, or ML/AI infrastructure
What We Do
Lila is a technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method.
