Galileo is a team-based medical practice focused on improving healthcare quality and affordability. The Lead Product Manager, Clinical Experience will own the strategy and roadmap for integrating and enhancing traditional EHR infrastructure, ensuring alignment across clinical, technical, and executive stakeholders.
Responsibilities:
- Develop and steward Galileo's clinical data and interoperability strategy, aligning engineering, clinical, and leadership stakeholders around a coherent direction
- Define product requirements for clinical data infrastructure, working closely with engineering to translate clinical workflow needs into technically sound specifications
- Own the EHR integration roadmap — identify opportunities for tighter integration, define the architecture approach, and drive execution from spec through production
- Manage enterprise clinical workflow decisions in every phase of the product development lifecycle, from requirements definition through clinical adoption and ongoing performance monitoring
- Evaluate and guide the responsible use of AI and agentic frameworks in clinical product contexts, with appropriate attention to safety, reliability, and architecture discipline
- Partner with clinical operations to ensure product decisions reflect how clinicians actually work
- Drive cross-functional alignment during periods of organizational change, surfacing blockers early and bringing stakeholders to decisions rather than discussions
Requirements:
- 8+ years in healthcare technology product management, with at least 4 years in clinical data, EHR integration, or interoperability-focused roles
- Demonstrated ownership of an interoperability or clinical data strategy that shipped
- Hands-on EHR experience, from the product or integration side
- Working knowledge of FHIR R4, HL7 v2/v3, and clinical data standards, conversant enough to engage engineers without a translator
- Experience managing enterprise clinical tooling decisions affecting clinical workflows at scale
- Proven ability to operate effectively in ambiguous, high-growth environments without a clear playbook