Sr. Product Manager, Healthcare Marketing & AI Solutions

Description

Position at WebMD

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.

We are seeking a highly experienced and strategic Senior Product Manager to drive the development and implementation of our AI-based healthcare marketing solutions for providers and payers within the WebMD Ignite. The ideal candidate has a deep background in healthcare marketing strategy and campaign execution within a modern marketing technology ecosystem. This role is crucial for developing new AI-based marketing insights and integrated marketing technology workflow modules for WebMD Ignite.

The position requires hands-on experience leveraging AI tools (Claude) for rapid prototyping and ensuring our platform dominates high-intent, high-value, and high-conversion moments in the evolving healthcare journey.

Responsibilities:

• Lead the product lifecycle for AI-based marketing solutions and workflow modules within the WebMD Ignite.

• Define and execute the product strategy for healthcare marketing campaigns, focusing on AI-driven omnichannel activation and closed-loop measurement.

• Partner with engineering and design to rapidly prototype and test new solutions, specifically utilizing generative AI tools (like Claude) to accelerate solution design and product requirements development.

• Ensure seamless integration of the WebMD Ignite Growth Platform (IGP) as a system of intelligence and orchestration with key healthcare systems and martech stacks (e.g., Eloqua, Meta, Google, Epic, Salesforce, Adobe, etc).

• Monitor market trends, competitive shifts (including the impact of LLMs/AIOs), and competitor strategies (like Unlock Health and Innovaccer) to inform and differentiate the product roadmap.

• Anchor product development and messaging to measurable business outcomes, moving beyond features to focus on appointments, encounters, and revenue.

• Serve as the subject matter expert on the marketing strategy and measurement, product, product usage, and anticipated benefits for internal and external stakeholders and clients.

Qualifications:

• Bachelor’s degree in Business, Marketing, Computer Science, or a related field.

• Minimum of 5 years of experience in product management, specifically focusing on healthcare marketing technology, campaign strategy, and implementation.

• Proven, hands-on experience using generative AI tools (e.g., Claude, LLMs) to quickly prototype and develop product requirements, user stories, and test scenarios.

• Deep proficiency in modern marketing technology ecosystems, including marketing automation (e.g., Oracle Eloqua), CRM, and data platforms/CDPs.

• Knowledge of Epic Cheers and related technologies is a differentiator

• Strong understanding of the healthcare domain, privacy regulations (e.g., HIPAA), and associated architecture (FHIR knowledge preferred).

• Demonstrated ability to define and drive product strategy with a clear focus on measurable business outcomes and growth.

• Excellent communication, leadership, and collaboration skills with the ability to work effectively in a dynamic and fast-paced environment.

Salary range: $110,000 - $145,000

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.