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
Collaboration & Platform Alignment
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 with sales, marketing, and client-facing teams, and understanding how products support commercial success
Hands-on mindset with the ability to prototype and experiment using AI/GenAI tools to rapidly explore and validate opportunities
Experience identifying and productizing opportunities that improve operational efficiency and supporter-facing workflows
Strong product discovery skills, with the ability to gather and synthesize insights from stakeholders, clients, and data
Data-driven mindset with experience analyzing performance metrics, running experiments, and evaluating AI feature impact
Comfortable working in cross-functional Agile environments, coordinating across product, engineering, data science, and business teams
Excellent communication skills, including the ability to translate complex AI capabilities into clear business and client value propositions
Ability to manage multiple initiatives while maintaining focus on high-impact, revenue-aligned priorities
Strategic and entrepreneurial mindset, particularly in identifying scalable, monetizable opportunities
Preferred Qualifications:
Experience in healthcare, life sciences, or pharmaceutical commercial environments
Experience with AI/ML domains such as LLMs, NLP, or data-driven insights platforms
Familiarity with content production workflows, reporting systems, or campaign performance analytics
Understanding of data privacy, compliance, and ethical considerations in AI-driven commercial products
Experience working across global markets (US, EU, LATAM)
Reporting:
Salary range:
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.
