Technical Product Manager

Overall Purpose

The Technical Product Manager (TPM) for Product Engineering owns and drives the delivery of scalable user-centric applications that power P3s clinical and operational workflows. This role sits at the intersection of software engineering clinical operations and business strategy translating organizational priorities into well-defined product requirements release roadmaps and delivery plans for our applications team. A critical and growing dimension of this role is leading the evaluation integration and operationalization of AI solutions enterprise-wide. This includes managing AI vendor relationships designing and executing proofs of concept and serving as the primary point of contact for employees as they adopt and scale AI-powered tools in their day-to-day workflows. The TPM will partner closely with engineering leads clinical stakeholders and executive leadership to ensure applications are reliable compliant and aligned with our value-based care mission.

Essential Functions

• Own and manage the product backlog for the applications team including creation prioritization and refinement of epics features and user stories aligned to clinical and operational workflows.
• Develop and maintain product roadmaps and delivery plans for the product engineering team providing clear and consistent status updates to executive and operational stakeholders.
• Partner closely with software engineering leads to plan execute and deliver application initiatives on time and within scope.
• Serve as the primary liaison between business stakeholders clinical operations and the product engineering team ensuring requirements are well-understood scoped and delivered with clarity.
• Facilitate and participate in Agile ceremonies including backlog grooming sprint planning and sprint reviews.
• Lead AI vendor evaluation and selection including RFP processes and ongoing vendor performance management against contractual commitments.
• Design coordinate and execute AI proofs of concept (POCs) in partnership with engineering clinical and operational stakeholders establishing success criteria measuring outcomes and driving recommendations for production adoption.
• Serve as the primary internal point of contact for employees adopting AI tools translating user feedback into product requirements managing change enablement and ensuring sustainable adoption across the organization.
• Maintain an AI solution inventory and integration roadmap ensuring alignment with enterprise architecture data governance and compliance requirements.

Knowledge Skills and Abilities

• Knowledge of product management principles product lifecycle management and application delivery best practices.
• Understanding of software development lifecycle (SDLC) and Agile delivery methodologies in a product engineering context.
• Familiarity with modern application architectures including APIs cloud platforms and SaaS integrations.
• Knowledge of backlog management roadmap planning and release coordination across cross-functional teams.
• Understanding of Value Based Healthcare provider enablement and the clinical workflows that enterprise applications must support.
• Working knowledge of the AI vendor landscape including large language models AI-powered workflow tools and enterprise AI integration patterns.
• Ability to translate end-user needs into AI solution requirements define POC success criteria and communicate outcomes to executive stakeholders.
• Strong change management and communication skills to drive employee adoption of new AI-powered tools and workflows.

Experience

• 610 years of relevant experience including roles in project management and/or business analysis with a minimum of 2 years in a technical product management role focused on application or software product delivery.
• Proven experience managing multiple application products or portfolios across an organization balancing competing priorities and diverse stakeholder groups.
• Hands-on experience using tools such as Azure DevOps or Jira to manage product backlogs plan sprints and track delivery across engineering teams.
• Demonstrated experience leading AI solution evaluations managing AI vendor relationships and driving POC execution from scoping through recommendation including defining measurable success criteria and presenting findings to executive leadership.
• Experience serving as an internal champion for AI adoption gathering employee feedback managing user-facing communications and coordinating training or enablement activities to drive sustainable use.
• Healthcare experience required; value-based care or provider enablement experience strongly preferred.

Education

• Bachelors in a related field or experience.

Work Location & Schedule
This role offers either a hybrid or fully remote work arrangement. Candidates within a 50âmile radius of a company office will follow our hybrid schedule working on-site three days per week. Candidates located outside this radius will work remotely with occasional travel to offices for meetings or key events.

Pay Range: $150K-170K

Required Experience:

IC