Product Lead
Locations
- Cambridge
Job Description
đ About Lila Sciences
Lila Sciences is the worldâs first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.⯠We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.⯠We are introducingâŻscientific superintelligence to solve humankind's greatestâŻchallenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at âŻwww.lila.ai
At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.
If this sounds like an environment youâd love to work in, even if you only have some of the experience listed below, please apply.
đ Your Impact at Lila
LilaâŻSciences is looking for a Product Lead for our LifeâScience AIâŻScienceâŻFactories (AISF)âa strategistâbuilder who can turn visionary ideas into shipped product capabilities. Reporting to the VPâŻof LifeâŻScience, AISF, you will own the product vision and roadmap for autonomous, AIâdriven lab workflows, aligning scientists, automation engineers, and data teams around a common mission: accelerate discovery at a scale the world has never seen.
In this role you will translate user insight into requirements, prioritize features against ambitious KPIs, and guide crossâfunctional execution from concept through launch. If you thrive on defining âwhatâ and âwhyâ just as much as orchestrating the âhow,â this is your chance to work with cuttingâedge automation platforms, drive breakthrough innovation, and help shape the future of scientific superâintelligence.
Key responsibilities
- Own the product vision for AISF: craft a compelling value proposition, success metrics, and northâstar outcomes that tie directly to Lilaâs mission.
- Lead customer and internalâuser discoveryâinterview scientists, automation engineers, and external partners to surface pain points and unmet needs.
- Translate insights into clear product requirements, acceptance criteria, and experiment plans that guide engineering and science teams.
- Continuously refine productâmarket fit through data, user feedback, and rapid iteration; pivot when evidence demands it.
- Serve as single point of accountability for product statusâcommunicating vision, milestones, and risks to senior leadership.
- Define and maintain a multiâquarter roadmap for one or more AISF products, balancing discovery work with delivery milestones.
- Translate strategic objectives into scoped initiatives, epics, and Jira tickets
- Drive crossâfunctional collaboration among automation engineers, data engineers, and bench scientists to deliver product capabilities that unlock autonomous science.
- Run structured postâmortems and âfailingâforwardâ reviews, capturing learnings that inform both product and process.
- Track progress, dependencies, and risks in Jira; surface tradeâoffs early and propose solutions
- Facilitate kickoff meetings and write project charters to align scope, constraints, and ownership.
đ§° What Youâll Need to Succeed
- MS, PhD, or equivalent experience in Biology, Bioengineering, Chemical Engineering, or a closely related field.
- At least 6âŻyears working with lifeâscienceâŻautomation, giving you enough technical fluency to challenge assumptions and ask the right questions and 3âŻ+âŻyears as a Product Manager or Product Lead delivering complex hardwareâsoftware or labâautomation products.
- A record of turning user insights into roadmaps, MVP definitions, and iterative releases.
- Endâtoâend ownership of multiâteam automation or instrumentation programs, with a track record of shipping on schedule and on budget.
- Working knowledge of automated liquidâhandling platforms and lab scheduling software.
- Ability to engage credibly with engineers on system integration topics. Scripting experience in Pythonâor the curiosity to read itâis a plus
- Mastery of Jira (or similar) for dependency tracking, risk surfacing, and progress reporting.
- Familiarity with regulated or qualityâcontrolled environments (GxP, ISO) and the documentation discipline they require.
- Influence without authorityâdriving crossâfunctional teams toward shared goals through extreme ownership and commandâbyânegation principles.
- Comfort operating in an earlyâstage, missionâdriven environment where ambiguity is the norm and standards guide the culture.
đ Weâre 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.
đ€ 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 Scienceâs 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.