Senior Product Manager

athenahealth•Boston, MA

3d•$141,000 - $239,000•Hybrid

About The Position

Help shape clinical experiences that make healthcare providers’ work more efficient. We’re looking for a Senior Product Manager who combines strong product judgment with a hands-on, experimental approach, using AI tools, rapid prototyping, and clinician feedback to turn complex problems into meaningful product improvements. You’ll lead several related encounter and visit workstreams across shared and specialty-specific experiences, including opportunities to use AI to improve workflow efficiency. This individual contributor role combines product strategy and discovery with Scrum Product Owner responsibilities. You’ll partner closely with UX, Engineering, Data Science, and Clinical Informatics to validate ideas, deliver solutions, and measure customer value. This position is based in Boston, MA and reports to the Executive Director, Product Management.

Requirements

5+ years of product management experience strongly preferred, with a track record of shipping products and measuring customer outcomes.
Strong understanding of clinical workflows and healthcare enterprise needs, gained through designing products with and for providers and clinicians, direct clinical practice, or related healthcare experience.
Experience as a Product Manager or Product Owner on Agile or Scrum teams, partnering closely with Engineering and UX.
Practical experience using AI tools for product discovery, prototyping, or development.
Bachelor’s degree in a related field or equivalent experience.

Nice To Haves

Experience shipping AI-enabled clinical products is a plus.

Responsibilities

Own discovery, strategy, and delivery across related workstreams, setting priorities, roadmaps, and measurable objectives.
Prototype to learn. Work with UX and Engineering to test ideas with clinicians and resolve key uncertainties before committing significant engineering investment.
Serve as Scrum Product Owner: prioritize backlogs, write clear specifications and user stories, and make decisions about scope and sequencing.
Make AI tools part of everyday product work, from customer feedback synthesis to prototyping and analysis. Share approaches that help teams learn and deliver faster, with appropriate human review.
Resolve dependencies and trade-offs across teams. Lead launches with customer-facing partners, measure adoption and outcomes, and iterate.
For AI-enabled clinical features, partner with Engineering, Data Science, Analytics, Clinical Informatics, and Patient Safety to define evaluation criteria for accuracy, bias, data quality, and safety, and establish responsible rollout and monitoring approaches.