[Hiring] Senior Product Manager @CoverMyMeds

Role Description

CoverMyMeds’ Shared Capabilities and Partnerships product team is looking for a Senior Product Manager to lead our Next Best Action (NBA) initiative — someone who is genuinely energized by data, AI, and machine learning, and who knows how to turn that curiosity into a recommendation and decisioning capability that drives real outcomes across the care journey. This role requires the ability to translate ambiguous, data-rich problems into a clear product strategy, and to build the trust needed to align stakeholders across a large, matrixed organization.

The Senior Product Manager will own the Next Best Action initiative end to end:

• Defining what “best” means for the users and workflows we serve.
• Partnering with Data Science and Data Engineering to build the decisioning capability.
• Continuously improving it through experimentation.

You’ll operate at the intersection of product strategy and applied AI/ML — not writing the models yourself, but framing the problems, prioritizing the signals, and holding the bar on measurement and responsible use.

What You’ll Do

• Drive product strategy for Next Best Action, grounding decisions in data, discovery, and research.
• Define which signals, use cases, and workflows the recommendation/decisioning engine should prioritize, and translate business and customer goals into a roadmap for the model and product experience.
• Partner closely with Data Science and ML Engineering to shape problem framing, success criteria, and trade-offs.
• Own the experimentation and measurement strategy for recommendations: define what “good” looks like, design A/B tests, and build feedback loops that continuously improve recommendation quality.
• Partner with Data Engineering on the data foundations — quality, access, and integration — that the recommendation engine depends on.
• Champion responsible AI practices, ensuring recommendations are fair, explainable, and compliant with healthcare regulatory and privacy requirements.
• Navigate complexity across a large, matrixed organization — aligning stakeholders, clarifying tradeoffs, and building the trust needed to move work forward.
• Influence and align cross-functional partners across Engineering, Data Science, UX, Commercial, and Operations to gain buy-in on product direction and priorities.
• Own and communicate roadmap priorities to leadership, ensuring transparency on progress, tradeoffs, and decisions at every phase.
• Apply design thinking methodologies to solve complex problems, iterate on solutions, and drive MVP delivery and customer co-innovation opportunities.

Qualifications

• Degree or equivalent experience. Typically requires 7+ years of relevant experience.
• Healthcare Product Management experience or familiarity with technical product development methodologies (e.g., Agile).
• Demonstrated fluency in data, AI, and machine learning concepts.
• Experience defining and using experimentation (A/B testing) and quantitative measurement to guide product decisions.
• Experience working in cross-functional product teams spanning Engineering, Data Science, UX, Operations, and Commercial partners.
• Technical competency with direct experience in data and analytics, data science, or AI/ML.
• Healthcare experience, preferably Biopharma and/or Payer expertise.

Preferred Skills

• Prior experience building or launching a recommendation engine, decisioning system, or personalization capability.
• Familiarity with responsible AI principles (fairness, explainability, bias mitigation) and how they apply in a regulated healthcare context.
• Experience with healthcare technology, patient support programs, enrollment workflows, or HCP-facing products.
• Strong understanding of product-market dynamics, customer needs, and competitive landscapes.
• Financial acumen, including experience connecting product decisions to P&L outcomes and business goals.
• Proven stakeholder engagement and influence skills in matrixed environments.
• Ability to prioritize effectively across competing initiatives and drive alignment toward execution.
• Comfort operating in ambiguity with a bias toward action and continuous improvement.

Benefits

• Competitive compensation package.
• Annual bonus or long-term incentive opportunities may be offered.
• Pay range: $119,300 - $198,800.