AI Product Manager – Commercial Offerings

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 – Commercial Offerings to define and scale AI-powered capabilities that support supporter-facing products and commercial operations.

This role focuses on:

• AI-enabled supporter offerings
• Reporting, insights, and analytics
• Content customization and campaign performance
• Internal workflows that power supporter value

Mission:

Leverage AI to create scalable, differentiated commercial offerings while improving the efficiency and effectiveness of supporter-related processes.

Key Responsibilities:

Product Strategy & Commercial Alignment

• Define and drive the roadmap for AI-enabled commercial offerings
• Identify opportunities to enhance supporter value through AI-driven capabilities
• Partner closely with sales, marketing, and client teams to align product strategy with market needs

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 with internal teams and, where appropriate, with clients

Internal AI Use Cases (Primary Ownership)

• Lead discovery and productization of AI use cases that improve:
• Supporter-related workflows and operational efficiency
• The ability to adapt, package, and deliver content in ways that increase engagement and commercial value
• Enable transformation of internal capabilities into scalable, client-facing offerings, including new formats, reporting, and customization capabilities

Productization & Scaling

• Translate validated use cases into:
• Repeatable workflows
• Scalable product features
• Client-facing offerings
• Ensure solutions are aligned with platform capabilities and reusable across teams

Collaboration & Platform Alignment

• Partner with:
• Platform product lead to ensure consistency and scalability
• Adaptive Learning PM to align on shared capabilities and avoid duplication
• AI/ML teams for implementation and optimization
• Contribute to governance of shared AI capabilities across teams

Monetization & Performance

• Define how AI capabilities contribute to revenue generation and differentiation
• Ensure clear value articulation for commercial teams and clients
• Track performance and impact of AI-enabled offerings

Success Metrics:

• Revenue contribution from AI-enabled offerings
• Adoption by commercial teams and clients
• Efficiency gains in supporter-related workflows
• Scalability and reuse of AI capabilities

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, adtech, martech, or B2B platforms, with experience building and scaling AI-powered products
• Strong business and commercial acumen , with the ability to translate product capabilities into client value and revenue impact
• Experience working closely w…