Description Position at WebMD
Role OverviewWe are looking for an AI Product Manager - Adaptive Learning to define and deliver AI-powered learning experiences that help clinicians build knowledge and competency over time.
This role focuses on HCP-facing experiences, including:
- Personalized learning journeys
- Adaptive content delivery
- AI-powered recommendations and guidance
- Integration of learning within clinical workflows
MissionShape the future of medical learning by leveraging AI to create personalized, continuous, and context-aware learning experiences that improve clinician outcomes.
Key ResponsibilitiesProduct Strategy & Execution- Define and drive the product vision and roadmap for AI-powered adaptive learning experiences
- Identify opportunities to embed AI across learning journeys to improve engagement and outcomes
- Partner with engineering, data science, and design to deliver scalable solutions
Discovery & Prototyping- Lead discovery to gather insights from customers, stakeholders, and data analysis to identify new product opportunities, specifically exploring how AI can solve problems and create value
- Take a hands-on approach to rapidly prototype concepts using open-source AI/GenAI tools
- Validate concepts through iterative testing and refinement
Experience Design & Personalization- Design AI-driven learning experiences that adapt to user context, behavior, and needs
- Define how content, tools, and recommendations are orchestrated across the user journey
- Ensure clinicians remain in control, with transparent and trustworthy AI interactions
Collaboration & Integration- Work closely with:
- AI/ML teams to leverage platform capabilities
- Platform product lead to ensure reuse and scalability
- Commercial teams to align learning experiences with broader offerings
- Contribute to shared platform evolution by ensuring learning needs are represented
Internal AI Use Cases (Selective)- Identify and support AI opportunities that enhance the structure, adaptability, and reusability of educational content
- Enable capabilities that improve how content is:
- Structured for different learning contexts and time constraints
- Adapted across formats and touchpoints
- Aligned with personalization and progression models
- Ensure internal content workflows support more flexible, modular, and scalable learning experiences
Success Metrics- Engagement and retention in learning experiences
- Completion and participation in educational activities
- Improvement in learning outcomes and knowledge progression
- Adoption of AI-powered learning features
ProfileWho You Are- Bachelor's degree in Computer Science or equivalent experience; strong understanding of LLMs and AI application architectures
- 5+ years of product management experience, ideally in healthcare, digital education, or content platforms, with experience building and iterating AI-powered products
- Strong understanding of digital learning experiences, content structuring, and engagement strategies, with an ability to design experiences that support knowledge progression over time
- Hands-on mindset with the ability to prototype and experiment using AI/GenAI tools to validate ideas quickly
- Experience working with content systems (CMS), knowledge structures, or personalization frameworks
- Strong product discovery skills, with the ability to gather and synthesize insights from users, stakeholders, and data
- Data-driven mindset with experience analyzing product performance and running experiments (e.g., A/B testing, engagement metrics)
- Comfortable working in cross-functional Agile environments, partnering with engineering, design, data science, and content teams
- Strong communication and stakeholder alignment skills, including the ability to explain AI-driven experiences clearly
- Ability to tackle complex, ambiguous problems with a structured and user-centric approach
- Passion for improving healthcare professional education and learning outcomes
Preferred Qualifications- Experience with AI/ML domains such as LLMs, recommendation systems, or personalization engines
- Familiarity with learning management systems (LMS) or educational technologies
- Understanding of healthcare content ecosystems and editorial workflows
- Awareness of data privacy and ethical considerations in AI-driven learning experiences
Reporting- Solid line: Head of Medscape Education Product
- Dotted line: Head of Medscape Education AI Strategy
Salary range: $125,000 - $150,000
Bonus Eligible: This position is also eligible for a discretionary company bonus, based upon business results.
Benefits:- Employees in this position are eligible to participate in the company sponsored benefit programs, including the following within the first 12 months of employment:
- Health Insurance (medical, dental, and vision coverage)
- Paid Time Off (including vacation, sick leave, and flexible holiday days)
- 401(k) Retirement Plan with employer matching
- Life and Disability Insurance
- Employee Assistance Program (EAP)
- Commuter and/or Transit Benefits (if applicable)
- Eligibility for specific benefits may vary based on job classification, schedule (e.g., full-time vs. part-time), work location and length of employment.
