- Define and drive the strategy for AI-powered patient engagement experiences.
- Identify patient problems and prioritize AI-driven solutions that improve engagement, retention, and trust.
- Design personalized healthcare journeys for different patient needs, behaviors, and health profiles.
- Develop LLM-powered experiences, including conversational interfaces, prompt optimization, and AI interaction flows.
- Analyze conversational data and product metrics to improve AI-generated responses and patient outcomes.
- Drive experimentation and iterative product improvements using data-driven methodologies.
- Use AI tools such as Claude Code, Cursor, and ChatGPT for discovery, prototyping, PRDs, and execution workflows.
- Create prototypes and product specifications connected to engineering implementation and spec-driven development practices.
- Collaborate with Engineering, Design, Data, Legal, and AI teams to deliver safe AI-native experiences.
- Use qualitative and quantitative research to inform product decisions and optimize user outcomes.
Product ManagementProduct DevelopmentProduct Analytics