Senior Product Manager, Thirty Madison

• 5+ years of Product Management experience, including direct work with Machine Learning, AI, or Data Science products
• Proven track record of successfully launching ML-powered features in collaboration with cross-functional teams
• Strong stakeholder management and influence skills, particularly in highly matrixed organizations
• Ability to translate complex technical concepts into clear business value, ensuring alignment with company objectives
• Experience in data-driven product development, including defining KPIs and measuring ML impact
• Comfortable working in fast-paced, ambiguous environments with a proactive and adaptable approach
• Bonus points

Desirable

• As a Senior Product Manager, you will support and drive Machine Learning (ML) initiatives across our organization
• You will act as a strategic connector, ensuring ML-powered capabilities are successfully integrated into core product experiences
• You will work closely with ML engineers, product managers, and cross-functional teams to evangelize ML opportunities, prioritize impact-driven projects, and drive execution
• Success in this role requires a high degree of influence, strong analytical skills, and a proactive mindset to navigate a matrixed environment
• Above all, you embody the Thirty Madison mission of providing access to healthcare for all who suffer from chronic conditions
• Champion ML-driven opportunities by identifying high-impact use cases and effectively communicating their business value across the organization
• Translate ML capabilities into product opportunities, partnering with other PMs to align ML initiatives with broader product strategies
• Serve as the primary advocate for ML projects, educating stakeholders on feasibility, potential outcomes, and tradeoffs
• Partner closely with ML engineers to define problem spaces, clarify scope, and drive structured ML product discovery
• Work cross-functionally with product managers, engineers, data teams, and business stakeholders to integrate ML capabilities across patient and provider facing experiences
• Ensure ML initiatives are prioritized effectively, proactively managing dependencies and aligning resources across teams
• Drive clear execution plans, balancing technical feasibility, business needs, and user impact
• Author clear, actionable Product Requirement Documents (PRDs) that translate ML insights into business-aligned product roadmaps
• Collaborate with ML engineers and product analysts to define and track success metrics, ensuring ML-powered features deliver measurable business and user value
• Own the end-to-end ML implementation lifecycle, from experimentation and validation to production deployment and continuous iteration
• Communicate project outcomes effectively, synthesizing technical impact analyses into business insights for senior leadership