Sr Technical Product Manager

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.

is a leading provider of comprehensive medical information, educational resources, and professional engagement for healthcare professionals. We serve a diverse audience of physicians, healthcare professionals, and pharmaceutical clients globally. Our mission is to empower medical professionals with the knowledge and tools that they need to provide exceptional patient care and make informed clinical decisions.

We are looking for a Sr. Technical Product Manager to join our Product team at Medscape as part of a unit focused on commercial product innovation. Our Product Managers relentlessly pursue increased adoption of our platforms by listening to users and clients, ideating data-driven solutions, and continuously refining products based on market feedback and usage signals.

In this role you will lead implementation and enhancement of platform and commercial capabilities - emphasizing marketing orchestration, integrations, platform tooling, and AI-enabled personalization. You will assess product architecture and workflows, lead discovery, and write PRDs for re-platforming and new feature delivery that leverage automation and machine intelligence to improve efficiency and outcomes.

Join a tight knit team that brings energy and camaraderie to serious work - help shape the next wave of health marketing and platform capabilities. At Medscape, Product Managers have five primary responsibilities:

• Innovate and ideate with a constant focus on building data-driven products that deliver competitive differentiation.
• Articulate a compelling vision and business case for new capabilities.
• Translate business strategy into a prioritized product roadmap and make trade-offs about what to build and when.
• Collaborate across technical and business teams to launch smoothly, collect feedback, and iterate.
• Partner with Marketing and Sales to develop positioning, value propositions, and go-to-market assets.

An excellent Product Manager keeps the long-term vision in mind while driving short-term results, has customer intuition, and the integrity and influence to lead the team - very much a 'mini CEO' when it's done right.

• Work with business stakeholders and clients to uncover needs, define success criteria, and translate them into product opportunities.
• Run POCs and pilots to validate technical feasibility, product market fit, and AI/ML assumptions.
• Partner with UX and Engineering to design and build scalable, reliable product features, integrations, and AI-enabled workflows.
• Bridge product and engineering by specifying technical requirements, APIs, data contracts, model inputs/outputs, and acceptance criteria.
• Collaborate with Data Science to define training data needs, evaluation metrics, and deployment requirements for models that power personalization and automation.
• Work with Product Marketing and Sales to launch features and drive adoption with commercial partners and clients.

Note: this is an individual contributor role.

• Design and operationalize journey based NBE/NBA systems (segmentation, triggers, APIs) that power targeted activations across education, live events, and medical affairs - reducing time to engage and improving conversion for institutional and commercial partners.
• Manage rollout of CDP and campaign activation features integrated with our platform, including AI assisted segmentation and personalization tools.
• Lead delivery of platform features that reduce partner integration time and improve reliability, leveraging automation and model-driven decisioning where appropriate.
• Contribute to R&D/innovation projects exploring AI use cases (e.g., automated journey recommendations, content personalization, anomaly detection, and campaign optimization).

• Delivering roadmap milestones on time while meeting defined business outcomes.
• Measurable revenue or upsell growth attributable to new offerings and functionality.
• Adoption, engagement, and activation metrics for launched features
  -including lift from AI driven personalization.
• Reduction in time to integrate and operational friction for partners and internal teams.
• Efficiency gains from automation and model-assisted workflows (e.g., reduced manual segmentation effort, faster campaign setup).