AI Senior Product Manager, Patient Engagement

New

DocplannerHealthcare technology

100% Remote within SpainFull-TimeSenior

Salary not disclosed

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Job Details

Experience: 5+ years of Product Management experience building digital consumer products; 1–2 years of experience working in AI-enabled product development environments.
Required Skills: Product ManagementProduct DevelopmentProduct Analytics

5+ years of Product Management experience building digital consumer products.
1–2 years of experience working in AI-enabled product development environments.
Hands-on experience using AI tools in daily product workflows.
Experience with Claude, Cursor, ChatGPT, or similar AI-assisted prototyping and development tools.
Experience creating prototypes, PRDs, and specs using AI-assisted workflows.
Strong product thinking and a user-centric mindset, particularly for consumer-facing experiences.
Experience working cross-functionally with Engineering, Design, and Data teams.
Strong analytical and data-informed decision-making capabilities.
Ability to move from research and discovery to execution and launch.
Experience building LLM-powered AI products or conversational interfaces is a bonus.
Familiarity with chat evaluations, prompt optimization, or conversational UX improvements is a bonus.
Healthcare, healthtech, wellness, or patient engagement product experience is a bonus.

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.

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