Interested in this AI Product Manager role at Merative?
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Merge medical imaging solutions, offered by Merative, combine intelligent, scalable imaging workflow tools with deep and broad expertise to help healthcare organizations improve their confidence in patient outcomes and optimize care delivery.
Merge is one of the most widely deployed medical imaging platforms in the world. Radiologists and cardiologists rely on us to store, move, and read imaging studies across enterprise health systems, teleradiology reading centers, and community hospitals. We are focused on putting AI governed intelligence directly into the reading experience. This is a rare chance to shape how AI reaches the point of care at real scale.
The opportunity
The market does not want more point tools; it wants one place where intelligence is governed and lives in the workflow. You will set where AI shows up across the portfolio and why, then carry the highest-leverage capabilities all the way to clinicians in production. You will partner closely with engineering, design, clinical advisors, and our partner ecosystem — and you will report directly to the VP, Product.
This is a builder’s role, not a slideware role. We are looking for a product leader who can hold a multi-year AI strategy in one hand and ship a governed model into the reading room with the other. What you’ll own
- AI product strategy. Define and maintain the AI vision and roadmap across the Merge portfolio — where AI shows up in the data layer, the workflow, and the read, and how it compounds into a durable moat. Draw and defend the line between the workflow and data intelligence we build and the pixel AI that arrives through our partner marketplace.
- AI feature delivery. Take the highest-priority AI capabilities from discovery through launch, co-designed with radiologists and cardiologists on their own studies and case mix.
- Model governance in the workflow. Own the registry, governance, and monitoring that wrap every model, tied to our quality system so speed never costs safety.
- Time-to-value for AI. Drive time-to-add-a-model from quarters to weeks, so the next capability is configuration rather than a project.
What you’ll do
- Turn a portfolio-level AI strategy into a sequenced, evidence-backed roadmap, validated with win/loss data, product-readiness reviews, and early-access customers.
- Write crisp problem definitions and success metrics — % of reads AI-assisted in-workflow, measurable turnaround-time reduction, governed models live and growing.
- Lead an empowered, single-threaded team through the AI-native product development lifecycle, iterating with UX and engineering on the solution rather than handing off requirements.
- Represent Merge’s AI direction with customers, clinical advisors, analysts, and internal leadership — and bring what you hear back into the roadmap.
What you bring
- 8+ years in product management, including senior ownership of AI/ML-powered products shipped to production at scale.
- A track record of both setting strategy and delivering — you have owned a roadmap and personally carried hard features across the finish line.
- Fluency in applied AI/ML product decisions: model lifecycle, evaluation, governance, monitoring, and the trade-offs of putting models in front of expert users.
- Experience partnering with engineering and design in an empowered-team operating model, closer to the work than to the org chart.
- Clear, plain communication — you can make a complex AI strategy legible to clinicians, executives, and engineers alike.
Nice to have
- Background in healthcare, medical imaging, clinical workflow, or another regulated domain.
- Experience with platform, marketplace, or partner-ecosystem products.
- Familiarity with quality management systems (QMS) and regulated software development.
Why this role matters
Fewer than 4% of buyers cite AI as a main reason they choose a PACS — which tells us the value is not in another model, but in intelligence that is governed and lives in the workflow. If you want your AI work to reach clinicians at real scale, in the moment they are reading, this is the seat.
Compensation
The salary range provided in this job posting is intended to reflect the general market value for the position. The actual salary offered may vary based on factors such as the candidate’s experience, qualifications, skills, and the specific requirements of the role. This range may also be subject to change as market conditions evolve. We encourage open communication throughout the interview process to discuss compensation expectations. For base-salary + commission sales roles, the range represents On-Target Earnings.
Min – Max :
$166,448.00 - $249,672.00 (USD) Benefits
The benefits described represent the current offerings at our organization, however, benefits are subject to change and may vary by location and employment status. We strive to provide a comprehensive benefits package that supports our employees’ health, wellness, and financial goals. Please note that benefits may be discussed in more detail during the hiring process.
- Remote first / work from home culture
- Flexible vacation to help you rest, recharge, and connect with loved ones
- Paid leave benefits
- Health, dental, and vision insurance
- 401k retirement savings plan
- Infertility benefits
- Tuition reimbursement, life insurance, EAP – and more!
It is the policy of Merative to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Merative will provide reasonable accommodations for qualified individuals with disabilities.
Merative participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees
Salary Context
This $166K-$249K range is above the median for AI Product Manager roles in our dataset (median: $193K across 99 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 9,653 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At Merative, 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 $220,200 based on 862 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $228,700. This role's midpoint ($208K) sits 6% below the category median. Disclosed range: $166K to $249K.
Across all AI roles, the market median is $213,400. Top-quartile compensation starts at $264,230. The 90th percentile reaches $319,400. For comparison, the highest-paying categories include AI Safety ($253,100) and Research Engineer ($252,000). By seniority level: Entry: $110,408; Mid: $193,200; Senior: $228,700; Director: $272,275; VP: $235,000.
Merative AI Hiring
Merative has 1 open AI role right now. They're hiring across AI Product Manager. Based in Remote, US. Compensation range: $249K - $249K.
Remote Work Context
Remote AI roles pay a median of $185,906 across 2,124 positions. About 6% 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 9,653 open positions tracked in our dataset. By seniority: 193 entry-level, 4,500 mid-level, 3,455 senior, and 1,505 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (568 positions). The remaining 9,010 roles require on-site or hybrid attendance.
The market median for AI roles is $213,400. Top-quartile compensation starts at $264,230. The 90th percentile reaches $319,400. Highest-paying categories: AI Safety ($253,100 median, 57 roles); Research Engineer ($252,000 median, 419 roles); AI Engineering Manager ($251,622 median, 51 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 9,653 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (7,301), Data Scientist (441), AI Software Engineer (438). 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 (193) are outnumbered by mid-level (4,500) and senior (3,455) 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 1,505 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (568 positions), with 9,010 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 $213,400. Top-quartile roles start at $264,230, and the 90th percentile reaches $319,400. 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 $253,100 median, while Prompt Engineer roles sit at $141,440. 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 (1,605 postings), Aws (916 postings), Azure (724 postings), Rag (634 postings), Gcp (522 postings), Pytorch (495 postings), Kubernetes (384 postings), Claude (383 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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