Research Product Manager, Fine-tuning
$204,000–$310,000 year
On-siteCambridge, Massachusetts, United States
Job Summary
Prioritize and own the roadmap for fine-tuned Lila model variants, defining training data, evaluation criteria, and release standards for commercial use cases. Manage the backlog of reinforcement-learning environments and supervised fine-tuning data packages, balancing scientific domain needs against customer requirements and quarterly model training cycles. Partner with the AI Research team to translate capability requests into clear specifications, integrate into sprint planning, and coordinate handoffs to platform teams. Define acceptance criteria for new capabilities to ensure validated work before it informs the core model.
Required Qualifications
- Experience as a Product Manager on ML/AI products
- Experience owning delivery of a model or product variant for external or commercial customers
- 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
Desired Qualifications
- Experience with exposure to LLM training, fine-tuning, or RL-based capability development
- Familiarity with capability-based training approaches for LLMs (RL environments, SFT data generation, evals)
- Experience partnering with ML/AI research teams on eval design and release criteria
- Background in a scientific or technical domain relevant to Lila's mission
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