Product Lead, Foundational Models and Post-Training
Core
Define product strategy for foundational models and post-training, translating research bets into production capabilities for clinical documentation and care workflows.
Role type
Senior Product Lead (Foundational Models & Post-Training)
Builds
In-house LLMs, post-trained models, and model routing systems for healthcare
Domain
Healthcare / Generative AI / Large Language Models
Deliverable
production ML models
Required skills
Product strategy for ML platforms, model lifecycle management (fine-tuning, eval, inference), technical judgment on model selection, cross-functional leadership, evidence-based decision making, safety and trust frameworks
Preferred skills
LLM post-training (RL, preference optimization, distillation), managing frontier/open/in-house model portfolios, human-feedback systems, AI in healthcare, agentic workflows
Technologies
LLMs, fine-tuning frameworks, evaluation infrastructure, inference systems
Responsibilities
Set product strategy for the model family, define path from research to production, shape data usage for training signals, make model investment decisions, partner with Evals on promotion criteria, create learning loops with product teams, drive cross-functional execution
Seniority
Senior, hands-on IC with strategic ownership