AI Product Manager - Remote Healthcare Innovation

Cleveland Clinic

Ohio

Remote

USD 120,000 - 180,000

Full time

12 days ago

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Job summary

Cleveland Clinic is seeking an AI Product Manager to lead the vision, strategy, and lifecycle management of healthcare AI products. You will translate complex clinical and operational needs into scalable AI‑enabled solutions, guiding roadmap, portfolio planning, and cross‑functional execution with engineering, data science, and clinical teams.

You will balance regulatory, technical, and business objectives while driving innovation and long‑term growth across the AI product portfolio.

Qualifications

Experience leading complex cross‑functional initiatives involving engineering, data science, design, operations, and business stakeholders.
Experience working closely with machine learning engineers, AI scientists, and data scientists to deliver AI‑powered products.
Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
Experience with AI product commercialization in the tech sector.
Ability to travel throughout the hospital system.

Responsibilities

Define and execute the vision, strategy, and roadmap for AI‑powered healthcare products and platforms.
Identify market opportunities, customer needs, and emerging AI technologies to drive innovation.
Lead the end‑to‑end lifecycle of AI products, from discovery and MVP development to launch, scaling, and optimization.
Translate clinical, operational, customer, and business requirements into prioritized product initiatives.
Partner with engineering, data science, and AI/ML teams to design and deliver AI‑enabled solutions.
Evaluate AI/ML models, data requirements, performance metrics, and deployment considerations to inform product decisions.
Balance model performance, user experience, technical feasibility, compliance, and business objectives.
Ensure AI products follow the established responsible AI practices, including transparency, fairness, governance, and risk management.
Prioritize features and investments based on customer value, business impact, technical complexity, and resource constraints.
Develop and manage a portfolio of AI products, platforms, and shared capabilities.
Drive platform strategy, product standardization, governance, and cross‑product alignment.
Lead executive stakeholder engagement, strategic planning, and product communications.
Develop business cases, investment recommendations, roadmap updates, and product performance reviews.