Product Lead, Software/Applied AI

Lila Sciences
Cambridge, San Francisco
Workplace: HybridFull timeUSD 180,000 - 288,000 annuallyFunction: Product ManagementSkills: ["Communication","Leadership","Problem-solving","Cross-functional collaboration","Prioritization"]

Lead product strategy and execution for Software and Applied AI at a biotech-focused company, owning a domain from data and ML tooling to scientific workflows and agents. You’ll collaborate with engineering, design, and scientific research teams to ship a scalable, full-stack platform that researchers actually use. You’ll translate complex workflows into clear roadmaps and drive cross-functional impact in a hybrid on-site environment.

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Lila Sciences
Lila Sciences
5 months ago

Product Lead, Software/Applied AI

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Last checked: 20 hours agoStatus: Live

Job Summary

Lead product strategy and execution for Software and Applied AI at a biotech-focused company, owning a domain from data and ML tooling to scientific workflows and agents. You’ll collaborate with engineering, design, and scientific research teams to ship a scalable, full-stack platform that researchers actually use. You’ll translate complex workflows into clear roadmaps and drive cross-functional impact in a hybrid on-site environment.
Location: Cambridge, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Product Management

Key Responsibilities

  • •Define product strategy and roadmap for Software and Applied AI domains within a cross-functional scrum team.
  • •Lead the translation of complex scientific workflows into scalable, user-friendly digital products across the full stack.
  • •Collaborate with research scientists and engineers to ship cohesive, high-impact features and ensure alignment across teams.
  • •Prioritize features and manage trade-offs in a fast-paced, ambiguous environment to deliver measurable results.
  • •Own the user experience and backend requirements, balancing research needs with robust system design.

Pay and Benefits

Salary: USD 180,000 - 288,000 annually
Equity and Bonus:Equity
Perks:RemoteLearning Budget

Key Requirements

  • •Core product experience: PM experience building complex B2B SaaS, data-heavy platforms, or highly technical software products.
  • •Full-stack mindset: comfortable navigating user workflow and backend architecture required to support it.
  • •Bias for action in ambiguity: able to turn vague, highly technical customer requests into prioritized roadmaps quickly.
  • •Operational rigor: focus on how the product is built, performed, and impacts users.
  • •Bonus points: scientific background, building for scientists, startup DNA and experience moving from 0 to 1.
Experience:SaaSData-heavy platformsScientific research
Skills:CommunicationLeadershipProblem-solvingCross-functional collaborationPrioritization
Languages:English
Tech Stack:AIMachine learningData infrastructureCloud

Company Brief

Lila Sciences
Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.
Industry: Biotech
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
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