Research Product Manager, Fine-tuning
Hybrid (Cambridge, MA; San Francisco, CA)$204k - $310kFull-timePosted 2mo ago
About the role
Product Manager role focused on defining and delivering fine-tuning capabilities for the Lila model, including reinforcement-learning environments and supervised fine-tuning data, aligned with Target Product Profiles and customer needs. Collaborates closely with AI Research to translate capabilities into concrete requirements and oversees end-to-end delivery of fine-tuned model variants for platform and commercial use cases.
Responsibilities
- Own and maintain the prioritized backlog of training-capability packages (reinforcement-learning environments + SFT data), weighing Lila's TPPs, customer/commercial needs, and quarterly Lila model training needs
- Own the roadmap and delivery of fine-tuned Lila model variants for priority platform and commercial use cases: define the required training data, strategic data gaps, evals, and release criteria
- Coordinate the handoff of validated fine-tunes to the app and platform teams
- Serve as a structured input into the AI Research team's core-model training cadence
- Partner with AI Research (training-pipeline owners, evals, and data-mix leads) to translate prioritized capabilities into clear, well-specified requirements
- Represent customer- and commercial-driven capability requests, and translate them into concrete capability asks the research team can execute
- Integrate into AI Research sprint planning and standups to track delivery and unblock cross-team dependencies
- Define and track release/acceptance criteria for new capabilities in partnership with the evals workstream, so shipped work can be validated before it informs fine-tuning or Lila model training
Qualifications
- 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 closely with a research organization (joining sprint planning/standups)
- Track record translating ambiguous or evolving priorities into a clear, sequenced set of deliverables
Skills
Required:Product Management for ML/AI
Nice to have:LLM fine-tuning or RL-based capability development
Benefits
- Full U.S. benefits including medical, dental, and vision; employer-paid life and disability; flexible time off with holidays; paid parental leave; educational assistance; commuter benefits; subsidized lunch program
- International benefits tailored to region; USD salary ranges apply to U.S.-based positions; international salaries set to local market
- Generous early-stage equity
- Bonus potential included in compensation package
Last updated Aug 5, 2026. Interested? Apply on the company site.
About Lila Sciences
Pioneering Scientific Superintelligence
Pioneering Scientific Superintelligence to solve humankind’s greatest challenges.
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