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← Lila Sciences

Research Product Manager, Post Training

Lila Sciences · Cambridge, MA USA; San Francisco, CA USA · Alewife, Cambridge, MA · San Francisco, CA

CHECKED 15H AGO

Bio & Science AIonsite$204k–$310k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own the capability roadmap for Lila's core foundation model releases.
  • Turn breakthrough research into real-world scientific impact.
  • Define evaluation and gating criteria to move models into production.

What they offer

  • Bonus potential
  • Generous early-stage equity
  • Medical, dental and vision coverage
  • Flexible time off with company holidays
  • Paid parental leave
  • Educational assistance program
  • Company-subsidized lunch program

Ideal candidate

A product-minded builder who lives at the research-impact intersection and loves turning ambiguous science signals into clear, measurable model priorities.

Requirements

  • Bachelor's or Master's in Computer Science, Engineering or related field or equivalent AI/ML experience
  • Proven product management experience for AI/ML products, ideally owning a model or capability roadmap
  • Strong understanding of how foundation models are trained, evaluated and released
  • Track record translating stakeholder and competitive signal into measurable requirements
  • Experience defining release criteria and quality gates for production models
  • Excellent written and verbal communication driving cross-functional decisions

Lab profile

About Lila Sciences

Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.

What they build

  • Autonomous Science Platform
  • AI-designed biologics validated in wet-lab
  • Electro-optic materials and photonic devices

Known for

  • Large-scale automated data generation
  • High-throughput protein purification and analytics
  • Protein design and BioML modeling
  • Robotic orchestration and lab simulation
More about Lila Sciences →
Apply on the lab’s site ↗