Galileo - Lead Product Manager

• 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 • You have deep familiarity with how EHR systems are built, integrated, and broken, and you bring that technical context into every product decision. You're known for calling decisions when they need to be called. You've used AI tools to meaningfully accelerate your own output and have thought carefully about where they belong in clinical product work. You've built a data strategy that others actually followed, meaning you can write it, present it, and get people to change what they're doing because of it. You're effective in ambiguous, high-growth environments and don't need a clear playbook to make progress. • We would love to hear from you if you have the following or equivalent experience: • 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