Lead Product Manager - Agentic AI

What You’ll Accomplish (Outcomes)

• Define and drive the Robin product strategy: articulating a compelling vision for how agentic AI transforms MSK care delivery — from reactive support to an always-on, adaptive care experience.
• Ship high-impact agentic AI capabilities: including multi-agent orchestration, general-purpose health assistance, clinical triage, personalized exercise recommendations, and proactive check-ins — driving measurable improvements in member engagement, satisfaction, and clinical outcomes.
• Own company-level metrics tied to Robin's success: including engagement, satisfaction, clinical accuracy, and care team workload reduction — and performance-manage them through rigorous experimentation and iteration.
• Own evaluation framework: LLM-as-a-judge, golden datasets and human evals process and tools. Ensure clinical safety, response quality and member trust.
• Lead the transition from point solution to platform: championing Robin as a product-wide lever, empowering other pods to build on Robin's infrastructure, and driving platformization of agentic capabilities.
• Serve as the product lead for other PMs on the Intelligent Care team: providing strategic direction, coaching on product craft, and ensuring alignment across product areas.
• Navigate regulatory and clinical complexity: partnering with Clinical, Legal, and Compliance to ensure Robin meets the highest standards for AI safety, guardrails, and human oversight.
• Stay ahead of the competitive landscape: evaluating competitor products and learning the latest in AI innovation so that Robin can deliver the best technology to our members.

Basic Qualifications

• 10+ years of product management experience, with a strong track record of shipping member-facing products at scale.
• 5+ years of experience building AI/ML-driven products, with direct, recent experience working with LLM-powered products — including conversational AI, agentic systems, or multi-agent architectures.
• Experience building and scaling agentic AI or multi-agent systems — including familiarity with frameworks like LangGraph, LangSmith, or similar.
• Experience leading or mentoring other product managers, with a track record of elevating product craft and strategic thinking across a team.
• Strong technical fluency — you can engage deeply with engineering on topics like prompt engineering, evaluation frameworks, agent orchestration, LLM performance, and system architecture.

Preferred Qualifications

• Background in healthcare, digital health, or regulated environments, particularly with FDA-regulated or clinically validated products.
• Prior experience collaborating with clinical teams, medical professionals, or subject-matter experts to build safe, effective AI products.
• Hands-on comfort with prompt design, evaluation (evals), and LLM safety/guardrails — this role requires you to personally build and iterate, not just manage through others.
• Experience driving 0→1 product initiatives that became company-defining capabilities.
• Proven ability to influence senior leaders and executives through compelling storytelling and data-backed arguments.