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
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