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Overview:
The Principal Product Manager, AI plays an expanded strategic and executional role within the AI Product organization, responsible for owning more complex AI\-enabled products or multiple product lines within Retro Claims Accuracy (RCA). This role helps build industry\-leading AI technologies that enable lines of business with cutting edge, impactful solutions, and helps accelerate the adoption of AI, including advanced ML and Generative AI techniques, at scale. The Principal Product Manager, AI leads product development, strategy, and performance while driving stronger alignment across business, technology, and customer stakeholders, and guides product ideation, execution, and validation, balancing customer needs with business objectives and measurable impact. They must lead cross\-functional collaboration, influence key decisions without direct authority, and drive consensus across leadership groups to bring AI products to market and manage their lifecycle effectively. Strong leadership, communication, analytical skills, and strategic thinking are essential for success in this role, along with the ability to operate effectively in ambiguity, maintain a high level of technical proficiency in AI, and mentor product managers on AI product practices.
Responsibilities:
- Drive product strategy and execution, developing and delivering on the roadmap for more complex or multi\-product AI initiatives, including our AI platform and solutions.
- Analyze market trends, customer needs, and competitive landscape to identify AI opportunities and create business cases for new investments, including competitive analysis, program goals, business requirements, and risk considerations.
- Translate stakeholder and customer requirements into clear technical documentation with stronger ownership of refinement and prioritization.
- Coordinate and partner closely with Data Science, Engineering, R\&D, Enterprise Product, finance, legal, and other stakeholders with a sense of urgency in a data driven manner. Develop and drive end to end program management to define, prioritize, and implement AI features, infrastructure, processes, and workflows.
- Drive AI technical projects from requirements through delivery, including managing complex project schedules, removing roadblocks, and keeping processes running smoothly.
- Define and track key performance indicators (KPIs) to measure AI product success and inform quarterly business reviews.
- Lead cross\-functional efforts to align business needs with AI product strategy and drive senior\-level stakeholder alignment.
- Support client engagement from pre\-sales through delivery, including serving as an AI product subject matter expert in key client discussions.
- Clearly communicate business requirements and product value to stakeholders including executives and external partners.
- Develop and maintain a high level of technical proficiency in AI, applying process where it creates value and designing process where it’s needed.
- Work closely with operations teams and drive AI adoption across the portfolio.
- Provide mentorship, guidance, and day\-to\-day support for Product Managers and Analysts as needed.
- Complete all responsibilities as outlined in the annual performance review and/or goal setting.
Qualifications:
- A bachelor’s degree with a degree in business administration, marketing, computer science, engineering, or a related field.
- Minimum 10 years of experience as a product manager driving the product development strategy and lifecycle (iterating on product roadmap and prioritizing backlog)
- 3\+ years of product management experience in AI or similar fields
- 1\+ years of experience working with AI infrastructure
Experience with Healthcare IT, claims processing and data analytics domains.
- Strong technical aptitude and familiarity with software development processes are often necessary for Product Managers, especially in technology\-driven industries. Knowledge of agile development methodologies, software development life cycle (SDLC), and project management tools is highly beneficial.
- Strong analytical skills to gather and interpret data, analyze market trends, and make informed decisions about product strategy and roadmap prioritization. Proficiency in data analysis tools and techniques is desirable.
- Excellent written and verbal communication skills are essential for Product Managers to effectively communicate with cross\-functional teams, stakeholders, and customers. This includes the ability to articulate complex ideas clearly and concisely, as well as strong presentation skills.
- Individuals who can inspire and motivate cross\-functional teams to work towards a common goal. They should be able to influence stakeholders, resolve conflicts, and drive decision\-making processes effectively.
- Experience mentoring team members or contributing to team capability development.
- A deep understanding of customer needs, preferences, and pain points is crucial for Product Managers to develop products that meet customer expectations and deliver value. Experience with user research, customer interviews, and usability testing is beneficial.
- Must collaborate effectively with cross\-functional teams, including engineering, design, marketing, sales, and customer support, to ensure alignment and integration across all aspects of the product development and delivery process.
- Understands and embodies Cotiviti Core Values, Strategic Pillars, and Operations Disciplines to achieve successful performance in completing assigned responsibilities and interactions with the Organization both internally and externally.
Mental Requirements:* Entrepreneurial Mindset: be comfortable taking calculated risks, experimenting with new ideas, and iterating on products based on feedback and market validation.
- Strategic Thinking \& Execution: ability to develop and execute a comprehensive product strategy aligned with the company's overall goals and objectives. They should be able to anticipate market trends and identify opportunities for product innovation and growth.
- Stress Management: should have effective stress management techniques to stay calm under pressure and maintain productivity.
- Adaptability: need to be adaptable and flexible, capable of adjusting plans and strategies in response to evolving circumstances while maintaining focus on project objectives.
- Resilience: ability to bounce back from disappointments, learn from mistakes, and continue driving the product forward with determination and optimism.
- Attention to Detail: must pay close attention to detail to ensure that all project requirements are met, deliverables are of high quality, and risks are adequately addressed.
- Time Management: skilled at organizing their own time and the time of their team members to maximize efficiency and productivity.
Physical Requirements and Working Conditions:* Travel as assigned by Leadership (10 \-15%).
- Must be able to provide high\-speed internet access/connectivity and office setup and maintenance.
- Must be able to provide a dedicated, secure work area.
- Remaining in a stationary position, often standing or sitting for prolonged periods.
- Repeating motions that may include the wrists, hands, and/or fingers.
- Moving (carrying, lifting, pushing, etc.) equipment weighing up to 10 lbs. for presentations set up, etc.
- Exposure to moderate noise intensity is expected.
- No adverse environmental conditions are expected.
Base compensation ranges from $140,000 to $180,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration.
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17\-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.
Date of posting: 8/4/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 9/4/2026 but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
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Salary Context
This $140K-$180K range is in the lower quartile for AI Product Manager roles in our dataset (median: $185K across 167 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 4,317 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At Cotiviti, 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 in Demand for This Role
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 $217,100 based on 471 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($160K) sits 26% below the category median. Disclosed range: $140K to $180K.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
Cotiviti AI Hiring
Cotiviti has 6 open AI roles right now. They're hiring across AI/ML Engineer, AI Product Manager, AI Software Engineer, Data Engineer. Based in Remote, US. Compensation range: $129K - $260K.
Remote Work Context
Remote AI roles pay a median of $180,000 across 1,196 positions. About 15% of all AI roles offer remote work.
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 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 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 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). 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 (138) are outnumbered by mid-level (2,071) and senior (1,655) 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 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 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 $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. 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 $287,500 median, while Prompt Engineer roles sit at $145,000. 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 (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 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.
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