AI Product Manager - Adaptive Learning

Description

Position at WebMD

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.

Key Responsibilities

Product 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

Profile

Who 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.