Product Manager, Tomorrow Health

• Ideal candidates have experience building and launching 0-1 products within seed-to-A stage startups
• 5–10+ years of product management experience, including Staff-level or equivalent scope (e.g., owning a major product area or platform)
• Significant experience building complex products in healthcare, AI/ML, or other high-stakes domains
• Demonstrated expertise in AI-driven products:
• Comfortable with concepts like LLMs, embeddings/RAG, prompt design, guardrails, and evaluation
• Experience taking at least one AI/ML-powered product from concept to launch
• Proven track record of driving meaningful business and customer outcomes, not just shipping features
• Excellent product sense, with a bias toward simple, intuitive experiences that serve non-technical users
• Strong analytical and experimentation skills; comfortable working with data, dashboards, and experimentation frameworks
• Exceptional written and verbal communication; able to align executives and cross-functional partners around a clear strategy

Desirable

• We are seeking an experienced Staff Product Manager to lead a critical product area building and iterating on our best-in-class solutions for health plans, care coordination teams, and healthcare providers
• As Staff Product Manager, you will be responsible for owning and driving the product vision, strategy, and roadmap for key areas of our platform. You will collaborate closely with cross-functional teams to ensure seamless execution and delivery of high-impact products
• Define the Vision & Strategy:
• Develop and communicate a compelling multi-year vision for AI native products and their role in Tomorrow Health’s ecosystem
• Translate that vision into a clear roadmap with well-defined milestones and success metrics
• Own the End-to-End Product Lifecycle:
• Drive discovery with internal and external stakeholders to understand needs, workflows, and edge cases
• Write clear PRDs, prioritize ruthlessly, and partner with Design and Engineering to bring features from concept to launch
• Design AI-First Care Experiences:
• Identify and prioritize AI use cases (e.g., care plan guidance, documentation summarization, proactive risk alerts, workflow assistance)
• Work with Data/ML and Engineering to design data pipelines, model integrations, and guardrails that keep experiences safe and compliant
• Deliver Measurable Impact:
• Define and track metrics related to service quality, customer experience, operational efficiency, and data completeness
• Run experiments and rapid iterations to optimize adoption, engagement, and outcomes
• Partner Across the Organization:
• Collaborate with Operations and Clinical leaders to ensure product decisions reflect real-world constraints and needs
• Partner with Growth to ensure the product supports acquisition, retention, and payor value propositions
• Champion Safety, Trust, and Equity:
• Work with Legal, Compliance, and Clinical to ensure safe, equitable, privacy-preserving use of AI
• Anticipate failure modes and edge cases; build mitigations into product design