Research Product Manager, Fine-tuning

Lila Sciences
Cambridge, San Francisco
Full timeUSD 204,000 - 310,000 annuallyFunction: Product ManagementSkills: ["Cross-functional collaboration","Prioritization","Stakeholder management","Communication","Execution"]

Own the roadmap and delivery of fine-tuned variants of the Lila foundation model, defining training data, data gaps, evals, and release criteria for priority platform and commercial use cases. Maintain and prioritize a backlog of RL environments and supervised fine-tuning (SFT) data packages aligned to Target Product Profiles (TPPs) and customer needs. Partner closely with AI Research to translate capability requests into executable requirements and integrate into sprint planning.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Lila Sciences
Lila Sciences
4 days ago

Research Product Manager, Fine-tuning

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Own the roadmap and delivery of fine-tuned variants of the Lila foundation model, defining training data, data gaps, evals, and release criteria for priority platform and commercial use cases. Maintain and prioritize a backlog of RL environments and supervised fine-tuning (SFT) data packages aligned to Target Product Profiles (TPPs) and customer needs. Partner closely with AI Research to translate capability requests into executable requirements and integrate into sprint planning.
Location: Cambridge, San Francisco
Employment Type: Full time
Job Function: Product Management
Seniority: Mid level

Key Responsibilities

  • •Own and maintain the prioritized backlog of training-capability packages (reinforcement-learning environments + SFT data) aligned to TPPs, customer/commercial needs, and quarterly model training needs.
  • •Own the roadmap and end-to-end delivery of fine-tuned Lila model variants, defining training data, strategic data gaps, evals, and release criteria.
  • •Coordinate handoff of validated fine-tunes to app and platform teams.
  • •Partner with AI Research to translate prioritized capabilities into clear, well-specified requirements.
  • •Define and track release/acceptance criteria with the evals workstream so shipped work can be validated before it informs further fine-tuning/model training.

Pay and Benefits

Salary: USD 204,000 - 310,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionPaid LeaveLearning Budget

Key Requirements

  • •Experience as a Product Manager on ML/AI products, ideally with exposure to LLM training, fine-tuning, or RL-based capability development.
  • •Experience owning delivery of a model or product variant for external or commercial customers, including defining data, evals, and release criteria.
  • •Demonstrated ability to build and defend a prioritized backlog against competing scientific, research, and commercial demands.
  • •Strong cross-functional operator comfortable partnering with a research organization in sprint planning/standups.
  • •Track record translating ambiguous or evolving priorities into a clear, sequenced set of deliverables.
Experience:ML/AILLMReusable training workflows
Skills:Cross-functional collaborationPrioritizationStakeholder managementCommunicationExecution
Languages:English
Tech Stack:LLMsFine-tuningReinforcement learningReinforcement-learning environmentsSupervised fine-tuning (SFT)Training dataEvalsRelease criteriaTarget Product Profiles (TPPs)

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
WebsiteLinkedIn