AI Product Manager

Role Overview

Key Responsibilities

• Establish product vision, roadmaps, and functional requirements for AI-powered healthcare solutions.
• Evaluate and prioritize product features based on business value, clinical impact, and technical feasibility.
• Manage the complete AI product lifecycle, from conceptualization and development through production deployment.
• Convert clinical and business requirements into functional specifications for AI-enabled products.
• Coordinate with Data Scientists, Machine Learning Engineers, and development teams throughout product delivery.
• Establish product success metrics and KPIs to measure performance and adoption.
• Participate in AI model evaluation, validation, and ongoing improvement initiatives.
• Maintain standards for clinical accuracy, data quality, and regulatory compliance.
• Document complex clinical workflows, business processes, and data requirements.
• Contribute to clinical summarization, clinical decision support, and broader healthcare data initiatives.
• Work with both structured and unstructured clinical datasets.
• Facilitate discovery sessions, stakeholder workshops, and requirements-gathering activities.
• Coordinate with clinical, business, operational, and technical stakeholders.
• Present product vision, priorities, and progress to executive stakeholders.
• Balance competing priorities and maintain alignment across cross-functional teams.

Required Skills & Qualifications

• At least 5 years of professional Product Management experience.
• At least 2 years of experience delivering AI/ML-enabled products in a professional environment.
• Experience collaborating with Data Scientists, AI Engineers, and technical delivery teams.
• Practical experience with requirements gathering, user stories, and product documentation.
• Understanding of AI/ML concepts, including model evaluation, validation, and performance monitoring.
• Experience managing stakeholders across business and technical organizations.
• Ability to make analytical, data-driven product decisions.
• Strong communication and presentation capabilities.

Preferred Qualifications

• Exposure to healthcare data and clinical information management.
• Familiarity with clinical summarization and clinical decision support solutions.
• Experience working with structured and unstructured clinical datasets.
• Understanding of clinical data quality, accuracy, and regulatory compliance considerations.
• Experience defining KPIs and measuring AI product performance and adoption.
• Familiarity with AI model evaluation, validation, and continuous improvement processes.

Applicants will be asked to answer the following qualifying questions when applying for this position:

• 1Are you legally authorized to work in the United States without visa sponsorship?
• 2Do you have at least 5 years of professional Product Management experience?
• 3Do you have at least 2 years of professional experience delivering AI/ML-enabled products?