Job description

Your Impact at LILA The Scientific System of Record (SSR) team builds the memory layer for Lila's operations. Our two core platforms, the Design Registry and LIMS, capture experimental design, samples, processes, and provenance across Lila's scientific workflows. As a Senior Technical Program Manager on SSR, you will operate at the intersection of engineering execution and organizational strategy. You will partner with an Engineering Director to scale engineering processes, drive cross-functional alignment across multiple engineering teams, and manage complex, multi-stakeholder programs that span cross-cutting scientific domains. You will build and improve how the team operates, not only track and deliver against it. What You'll Be Building Own end-to-end program management across Designs & Schemas, LIMS, Build & Order, Project Management, and ELN Align requirements, dependencies, and timelines on cross-cutting programs spanning life sciences, formulations, and chemistry Communicate scope, tradeoffs, risks, and timelines to technical and scientific stakeholders, resolving blockers early Partner with the Engineering Director to design, operationalize, and improve engineering processes at scale Scale agile practices across SSR: Jira hygiene, sprint planning discipline, and backlog management Define release gates, support intake processes, and operational dashboards that drive continuous improvement What You'll Need to Succeed 5+ years in technical program management, managing complex, multi-team programs in a fast-moving engineering environment Demonstrated ability to design processes from scratch and operationalize them at scale Strong technical fluency with APIs, data models, schemas, and system integrations Experience managing cross-functional dependencies across engineering teams and scientific stakeholders Commitment to work from our Alewife (Cambridge, MA) or San Francisco office 3-5 days per week Bonus Points For Background in biology, chemistry, materials science, or another experimental science Experience with LIMS, ELNs, scientific registries, laboratory informatics, or scientific data platforms Experience modeling samples, protocols, lineage, provenance, or inventory Experience integrating scientific systems with automation or data infrastructure, including event-driven architectures 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 $180,000 — $256,000 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. 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.

Requirements

Must-haves

Your Impact at LILA
You will build and improve how the team operates, not only track and deliver against it.
What You'll Be Building
Own end-to-end program management across Designs & Schemas, LIMS, Build & Order, Project Management, and ELN
Align requirements, dependencies, and timelines on cross-cutting programs spanning life sciences, formulations, and chemistry
Communicate scope, tradeoffs, risks, and timelines to technical and scientific stakeholders, resolving blockers early
Partner with the Engineering Director to design, operationalize, and improve engineering processes at scale
Scale agile practices across SSR: Jira hygiene, sprint planning discipline, and backlog management
Define release gates, support intake processes, and operational dashboards that drive continuous improvement
What You'll Need to Succeed
5+ years in technical program management, managing complex, multi-team programs in a fast-moving engineering environment
Demonstrated ability to design processes from scratch and operationalize them at scale
Strong technical fluency with APIs, data models, schemas, and system integrations
Experience managing cross-functional dependencies across engineering teams and scientific stakeholders
Commitment to work from our Alewife (Cambridge, MA) or San Francisco office 3-5 days per week
Background in biology, chemistry, materials science, or another experimental science
Experience with LIMS, ELNs, scientific registries, laboratory informatics, or scientific data platforms
Experience modeling samples, protocols, lineage, provenance, or inventory
Experience integrating scientific systems with automation or data infrastructure, including event-driven architectures

Nice-to-haves

Bonus Points For

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Keywords to mirror

agilejiraai

Platform: greenhouse
Effort: quick

Benefits

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Dental

Vision

Parental Leave