AI Product Manager – Adaptive Learning

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

• 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
• 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

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

• 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

• Employees in this position are eligible to participate in the company sponsored benefit programs, including the following within the first 12 months of employment: