Ai Product Manager (Edtech)

TL;DR

AI Product Manager (Edtech): Defining and delivering AI-powered learning experiences that help clinicians build knowledge and competency over time with an accent on personalized learning journeys, adaptive content delivery, and AI-powered recommendations. Focus on designing AI-driven learning experiences that adapt to user context, behavior, and needs, ensuring clinicians remain in control with transparent and trustworthy AI interactions.

Company

Medscape, a division of hirify.global, 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.

What you will do

• Define and drive the product vision and roadmap for AI-powered adaptive learning experiences.
• 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.
• Design AI-driven learning experiences that adapt to user context, behavior, and needs.
• Work closely with AI/ML teams, platform product lead, and commercial teams to deliver scalable solutions and align learning experiences with broader offerings.
• Identify and support AI opportunities that enhance the structure, adaptability, and reusability of educational content.

Requirements

• 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.
• Comfortable working in cross-functional Agile environments, partnering with engineering, design, data science, and content teams.

Nice to have

• 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.

Culture & Benefits

• Employees are eligible to participate in the company sponsored benefit programs, including 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).