AI Product Manager – Adaptive Learning

WebMD•Newark, NJ

13d

About The Position

Medscape, a division of WebMD, develops and hosts physician portals and related mobile applications that make it easier for physicians and healthcare professionals to access clinical reference sources, stay abreast of the latest clinical information, learn about new treatment options, earn continuing medical education credits and communicate with peers. WebMD is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law. About Medscape At Medscape, a division of WebMD, our mission is to improve patient care by empowering healthcare professionals with trusted clinical knowledge, tools, and learning experiences. We are transforming Medscape into a daily-use, AI-powered clinical companion, helping clinicians stay up to date, make better decisions, and continuously build their expertise. Across web and mobile, we deliver evidence-based content, point-of-care tools, and interactive learning—now enhanced by AI to provide more contextual, personalized, and adaptive experiences, while maintaining the highest standards of clinical rigor and trust. Role Overview We 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 Mission Shape the future of medical learning by leveraging AI to create personalized, continuous, and context-aware learning experiences that improve clinician outcomes.

Requirements

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

Nice To Haves

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

Responsibilities

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
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
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
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
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