• 5+ years of software product management experience, including ownership of a mobile or web product that professionals rely on in their daily work.
• Bachelor’s degree in engineering, computer science, life sciences, nursing or another health profession, business, or a related field, or equivalent experience.
• AI built into daily work: uses AI through repeatable workflows, not one-off prompts, for research synthesis, requirements, analysis, and prototyping, and can show how it changed the speed or quality of the work. Trajectory matters as much as current skill: what was tried, kept, and dropped.
• Hands-on building: has built working prototypes or tools with AI coding tools and used them to test ideas with real users.
• Product judgment and taste: when building is cheap, choosing what to build is the job. Prioritizes with incomplete information, states assumptions, and changes course when the evidence does.
• A record of writing requirements that engineers build from directly: precise, testable, and complete on edge cases.
• Depth in mobile products: iOS and Android conventions; how push notifications are delivered and where delivery fails (OS settings, Focus and Do Not Disturb, critical alerts); behavior on poor connectivity; and release mechanics (app store review, staged rollout, users on old versions).
• Technical fluency to discuss APIs, data models, and system design with engineers, and to work through trade-offs with them rather than hand problems over.
• Clear, concise writing, and the ability to explain the same decision to a clinician, an engineer, and an executive.
• Ownership: follows a problem across team boundaries until it is solved, and owns AI-assisted work as fully as any other: defines what good looks like up front, checks output critically, and catches errors before they reach anyone else.
• Experience building for clinicians, particularly in acute care (stroke, emergency medicine, critical care, radiology), or a clinical background such as nursing.
• Experience shipping software as a medical device or in another regulated environment; working knowledge of FDA design controls, ISO 13485, IEC 62304, ISO 14971, and IEC 62366.
• Experience shipping AI-powered features: writing evals, judging model output quality, and designing for when the model is wrong.
• Has built agents, automations, or skills that other people use in their daily work.
• Experience with real-time messaging, alerting, or care-team communication products.
• Familiarity with healthcare data and interoperability: DICOM, HL7, FHIR, and HIPAA.
• Product analytics experience: event instrumentation, funnels, and cohort analysis.
• $180,000 - $200,000 a year