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AI Technical Project Manager

WebMD
United Statesfull_timeVerifiedPosted 2 Apr 2026
💰 $115,000/yr($110,000/yr$115,000/yr)

About the role

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 Technical Project Manager to drive the delivery and operational execution of AI-enabled initiatives across Medscape Education.This role sits at the intersection of product, engineering, data science, and operations, ensuring that AI-powered capabilities—spanning clinician learning experiences, supporter-facing offerings, and internal workflows—are delivered efficiently, reliably, and at scale.The role requires strong coordination across multiple stakeholders and systems, with a focus on turning complex AI-driven initiatives into well-structured, executable, and scalable programs.

Mission

Ensure the successful delivery and operational scalability of AI-enabled education products by driving execution across technical, product, and business teams.

Key Responsibilities

Program & Delivery Management

  • Own end-to-end delivery of AI initiatives across:
    • AI-enabled learning experiences
    • Supporter-facing products and insights
    • Internal AI-powered workflows
  • Define and manage roadmaps, timelines, dependencies, and risks
  • Ensure alignment across product, engineering, data science, and business teams
  • Drive execution across multiple concurrent initiatives with varying complexity

Cross-functional Coordination

  • Act as the central point of coordination between:
    • Product managers
    • Engineering teams (frontend, backend, AI/ML)
    • Data science and analytics
    • Education business and operations teams
  • Facilitate clear communication, decision-making, and prioritization across stakeholders
  • Ensure smooth handoffs between product definition, technical implementation, and operational delivery

Technical Execution Support

  • Coordinate the delivery of AI/ML solutions that simplify core business processes, improve quality, and increase operational efficiency
  • Support the translation of business problems into technical requirements, acceptance criteria, and measurable success metrics
  • Coordinate with engineering, data science, and platform teams to ensure:
    • API integrations
    • Observability and monitoring
    • SLAs, incident management, and runbooks
  • Coordinate model lifecycle activities in partnership with AI and engineering teams, including:
    • Model validation and bias checks
    • Monitoring and CI/CD for models
    • Retraining cadence and rollback/playbook procedures
  • Support production readiness and scalability of AI solutions across environments (POC → pilot → production)
  • Maintain clear and structured documentation, including:
    • Architecture decisions (in partnership with engineering)
    • Runbooks and compliance artifacts
    • Post-mortems and learnings

Operationalization & Scalability

  • Support the rollout of AI capabilities into repeatable, scalable operational processes
  • Coordinate imp

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Company

WebMD

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