Senior Product Manager

closed
Thirty Madison Logo

Thirty Madison

πŸ’΅ $156k-$214k
πŸ“Remote - United States

Summary

Join Thirty Madison as a Senior Product Manager to champion Machine Learning (ML) initiatives. You will act as a strategic connector, integrating ML capabilities into core products. Collaborate with ML engineers, product managers, and cross-functional teams to prioritize impactful projects and drive execution. Success requires strong influence, analytical skills, and a proactive approach. This role embodies Thirty Madison's mission of providing healthcare access. The position offers a competitive salary, benefits, and a chance to make a significant impact.

Requirements

  • 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

Responsibilities

  • 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

Preferred Qualifications

  • Experience working directly with Machine Learning engineers, data scientists, and data engineering teams
  • Familiarity with Machine Learning methodologies, experimentation frameworks, and model deployment considerations
  • Hands on analytical skills with SQL, Looker, or data visualization tools to inform product decisions

Benefits

  • Annual Incentive Plan + Stock Option Package
  • Robust and affordable Medical, Dental, and Vision plan options
  • 401(k) with a match, commuter benefits, and FSA
  • Annual $750 vacation stipend and $500 happiness stipend
  • Flexible time off policy
This job is filled or no longer available