Member of Product Staff, Foundation Models & Post-Training

What you'll do

• Set model portfolio strategy and prioritize tradeoffs across capability, quality, latency, cost, safety, and controllability.
• Define research-to-production milestones, decision gates, evaluation criteria, and success metrics.
• Coordinate ML, product, clinical, data, privacy, security, and evaluation teams to turn feedback and proprietary data into model improvements.

What they ask for

• 7+ years of product-management or closely related experience, including substantial ownership of ML-powered products, model platforms, or AI infrastructure.
• Track record of translating ambiguous technical capabilities into shipped products and measurable outcomes.
• Strong knowledge of the model-development lifecycle, including data strategy, fine-tuning and preference optimization, evaluation, inference, experimentation, and production monitoring.
• Technical judgment in ML and strong product judgment, with an emphasis on evidence, safety, and trust.

Nice to have

• Direct experience with LLM post-training, reinforcement learning, preference optimization, distillation, model routing, or domain-adaptive pretraining.
• Experience shipping AI in healthcare or another safety-critical, regulated domain.

Pay

$250K – $290K USD base salary

Tools

LLM, frontier APIs, open-source models

AI focus

Foundation-model strategy and post-training for clinical AI, including using proprietary clinical data and feedback to improve models, evaluating capabilities and failure modes, and moving models from experiments into production.