Research Product Manager, Post Training

Lila Sciences
Cambridge, San Francisco
Workplace: OnsiteFull timeUSD 204,000 - 310,000 annuallyFunction: Product ManagementEducation: mastersSkills: ["Communication","Cross-functional collaboration","Prioritization"]

Own the capability roadmap for core foundational model releases, turning signals from domain science, product, commercial needs, and competitive landscape into prioritized, measurable requirements. Define evaluation criteria, success metrics, and production gating for model releases. Partner with research and model-training leads to sequence capability work against compute, data, and timeline constraints, while maintaining auditable documentation of targets, results, and release decisions.

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Lila Sciences
Lila Sciences
1 month ago

Research Product Manager, Post Training

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Last checked: 19 hours agoStatus: Live

Job Summary

Own the capability roadmap for core foundational model releases, turning signals from domain science, product, commercial needs, and competitive landscape into prioritized, measurable requirements. Define evaluation criteria, success metrics, and production gating for model releases. Partner with research and model-training leads to sequence capability work against compute, data, and timeline constraints, while maintaining auditable documentation of targets, results, and release decisions.
Location: Cambridge, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management
Seniority: Mid level

Key Responsibilities

  • •Own the capability roadmap for core foundational model releases and define/prioritize target capabilities with defensible rationale.
  • •Translate inputs from domain/science, product, and commercial stakeholders into measurable model requirements.
  • •Analyze competitive and frontier models using benchmark results and capability gaps to drive roadmap decisions.
  • •Define evaluation criteria and success metrics for whether target capabilities are achieved.
  • •Establish production gating criteria and partner with research and model-training leads to sequence capability work within compute, data, and timeline constraints.

Pay and Benefits

Salary: USD 204,000 - 310,000 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability InsurancePaid ParentalLearning BudgetCommuter BenefitsMeal Allowance

Key Requirements

  • •Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience with AI/ML systems.
  • •Proven product management experience for AI/ML products, ideally owning a model, platform, or capability roadmap in a scientific domain.
  • •Strong understanding of how foundational/large models are trained, evaluated, and released, with credibility with researchers and sound prioritization.
  • •Track record translating stakeholder needs and competitive signal into clear, measurable requirements.
  • •Experience defining release criteria and quality gates for a production system or model.
Experience:AI/MLScientific domain
Education:Master's in Computer Science, Engineering
Skills:CommunicationCross-functional collaborationPrioritization
Tech Stack:AI/MLFoundational modelsFrontier modelsModel evaluationBenchmarking

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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