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About This Role
Join the Cleveland Clinic team, where you will work alongside passionate caregivers and provide patient-first healthcare. Cleveland Clinic is recognized as one of the top hospitals in the nation. At Cleveland Clinic, you will receive endless support and appreciation and build a rewarding career with one of the most respected healthcare organizations in the world.
As AI Product Manager, you will provide strategic leadership for the vision, development, implementation, and lifecycle management of healthcare AI products. In this role, you will translate complex business, clinical, operational, and customer needs into scalable AI-enabled solutions that improve outcomes for patients, caregivers, providers, and healthcare organizations. You will lead product strategy, roadmap development, portfolio planning, and cross-functional execution to ensure alignment with organizational priorities and deliver measurable business value.
Working in close partnership with software engineering, data science, machine learning, clinical, operations, and business leaders, you will guide product decisions from concept through launch and ongoing optimization. You will balance customer needs, technical feasibility, regulatory considerations, and business objectives while ensuring efficient and effective product delivery. As a strategic advisor and thought leader, this position fosters alignment across executive stakeholders and cross-functional teams to advance a cohesive AI product portfolio and drive innovation, organizational strategy, and long-term growth.
A caregiver in this role works remotely from 8:00 a.m. – 5:00 p.m.
To be considered for this position, candidates must reside in Ohio, Nevada or Florida.
A caregiver who excels in this role will:
- 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.
- Define product requirements, user stories, acceptance criteria, KPIs, and success metrics.
- 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.
- Define go-to-market, adoption, commercialization, and change management strategies to maximize product success and healthcare impact.
Minimum qualifications for the ideal future caregiver include:
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or a related field
- 10 years of product management experience with increasing levels of responsibility
- Experience developing and managing product roadmaps from MVP through mature product evolution
- Proven track record of launching and scaling successful enterprise and/or consumer technology products
- 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
- Exceptional communication, storytelling, presentation, and executive influence skills
- Strong analytical, strategic thinking, and problem-solving abilities
Preferred qualifications for the ideal future caregiver include:
- Master's degree in Business Administration (MBA), Computer Science, Engineering, Data Science, Healthcare Informatics, or a related field
- Experience with generative AI, large language models (LLMs), machine learning platforms, and AI product commercialization
- Experience in Technical Program Management (TPM), program leadership, or large-scale product delivery
- Experience managing platform products, product portfolios, and multi-product ecosystems
- Familiarity with cloud platforms such as Azure, AWS, or Google Cloud
- Experience working for a technology vendor developing software products
- Experience with owning a product roadmap
- Experience with commercialized AI solutions
- Experience with AI Product Commercialization in the tech sector
Physical Requirements:
- Ability to perform work in a stationary position for extended periods
- Ability to operate a computer and other office equipment
- Ability to communicate and exchange accurate information
- Ability to travel throughout the hospital system
Personal Protective Equipment:
- Follows Standard Precautions using personal protective equipment as required for procedures.
Pay Range
Minimum Annual Salary: $143,960.00
Maximum Annual Salary: $230,322.50
The pay range displayed on this job posting reflects the anticipated range for new hires. A successful candidate’s actual compensation will be determined after taking factors into consideration such as the candidate’s work history, experience, skill set and education. The pay range displayed does not include any applicable pay practices (e.g., shift differentials, overtime, etc.). The pay range does not include the value of Cleveland Clinic’s benefits package (e.g., healthcare, dental and vision benefits, retirement savings account contributions, etc.).
Salary Context
This $143K-$230K range is above the median for AI Product Manager roles in our dataset (median: $187K across 155 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 11,520 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At Cleveland Clinic, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills Required
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $220,200 based on 993 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $193,200. This role's midpoint ($187K) sits 15% below the category median. Disclosed range: $143K to $230K.
Across all AI roles, the market median is $213,480. Top-quartile compensation starts at $264,000. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($266,050) and AI Engineering Manager ($253,461). By seniority level: Entry: $112,320; Mid: $193,200; Senior: $230,000; Director: $272,250; VP: $235,830.
Cleveland Clinic AI Hiring
Cleveland Clinic has 2 open AI roles right now. They're hiring across AI Product Manager, AI/ML Engineer. Based in Cleveland, OH, US. Compensation range: $230K - $230K.
Location Context
Across all AI roles, 6% (708 positions) offer remote work, while 10,737 require on-site attendance. Top AI hiring metros: New York (3,257 roles, $221,000 median); San Francisco (2,766 roles, $260,550 median); Los Angeles (1,580 roles, $210,000 median).
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 11,520 open positions tracked in our dataset. By seniority: 140 entry-level, 5,630 mid-level, 4,176 senior, and 1,574 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (708 positions). The remaining 10,737 roles require on-site or hybrid attendance.
The market median for AI roles is $213,480. Top-quartile compensation starts at $264,000. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($266,050 median, 70 roles); AI Engineering Manager ($253,461 median, 58 roles); Research Engineer ($252,000 median, 476 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 11,520 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (8,769), AI Software Engineer (586), AI Product Manager (511). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (140) are outnumbered by mid-level (5,630) and senior (4,176) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,574 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (708 positions), with 10,737 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,480. Top-quartile roles start at $264,000, and the 90th percentile reaches $318,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $266,050 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,267 postings), Aws (1,178 postings), Azure (972 postings), Rag (924 postings), Gcp (715 postings), Pytorch (586 postings), Claude (572 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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