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Product Manager Machine Learning Jobs (NOW HIRING)

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Manager, Machine Learning

$180K - $210K/yr

You'll partner closely with Product and Engineering on integrating ML models into our product and ... machine learning systems into production * 2+ years experience mentoring and managing ML teams

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$51.5K

$159.4K

$197K

How much do product manager machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for product manager machine learning in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Product Manager, Machine Learning, and why are they important?

To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.

How does a Product Manager specializing in Machine Learning typically collaborate with data scientists and engineering teams?

Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.

What does a Product Manager for Machine Learning do?

A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.

What is the difference between Product Manager Machine Learning vs Data Scientist?

AspectProduct Manager Machine LearningData Scientist
Primary FocusOverseeing ML product development, strategy, and deploymentAnalyzing data, building models, and deriving insights
Required SkillsProduct management, ML understanding, cross-functional collaborationStatistics, programming, data analysis
Work EnvironmentProduct teams, engineering, business stakeholdersData analysis teams, research, engineering
Common CertificationsProduct management certifications, ML coursesData science certifications, programming skills

While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.

More about Product Manager Machine Learning jobs
What cities are hiring for Product Manager Machine Learning jobs? Cities with the most Product Manager Machine Learning job openings:
What states have the most Product Manager Machine Learning jobs? States with the most job openings for Product Manager Machine Learning jobs include:
What job categories do people searching Product Manager Machine Learning jobs look for? The top searched job categories for Product Manager Machine Learning jobs are:
Product Manager Machine Learning jobs near you
Infographic showing various Product Manager Machine Learning job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 36% Full Time, 56% Part Time, and 5% Contract. Highlights an 92% Physical, and 8% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.
Product Manager - Machine Learning - Remote

Product Manager - Machine Learning - Remote

NAVA Software Solutions

Manhattan, NY • On-site, Remote

Full-time

Posted 25 days ago

Job description

NAVA Software solutions is looking for a Product Manager - Machine Learning
Details:
Product Manager - Machine Learning
Location: Remote project
Duration: 12 months
Job Functions:
Within the role, the Lead Product Manager will:
  • Develop and manage end-to-end Machine Learning technical product solutions.
  • Leverage subject matter expertise to proactively engage with business partners to strategize and design solutions that improve investigation of activities, and decision-making utilizing Machine Learning
  • Identify opportunities to leverage Machine Learning technology to achieve Advanced Analytics strategic objectives. Partner with business and technology sponsors to build successful business cases to fund the initiatives
  • Represent and collaborate with business partner across the full product lifecycle. Oversee stakeholder engagement and communication, review and prioritization of business requirements, cross-functional user acceptance testing of selected solution(s), and development of change management plans for implementation and adoption.
  • Collaborate with business stakeholders and technology counterparts to evaluate third-party solutions where appropriate. Lead vendor engagement efforts from selection through implementation
  • Help define and validate success criteria for business partners where Machine Learning can improve their goals and objectives
  • Rely upon design thinking / growth mindset to approach business problems with a strategic view
  • Provide feedback regarding solutions, tools, and platforms with a view of strategic priorities
  • Champion new Machine Learning capabilities, functions, and processes within and across the organization

Education/Experience Requirements:
  • Bachelor's degree in Business Administration, Finance, Information Technology, or related field and a minimum of seven (7) years of experience working with ML; or an equivalent combination of education and experience
  • Experience developing or working directly on various aspects of large-scale ML platforms such as dataset generation, feature development, model testing and resource management to support the development of ML-powered product experiences such as NLP, computer-vision, ranking and personalization
  • Strong organizational skills, oral, and written communication skills, with an ability to administer multiple complex assignments concurrently and execute against tight deadlines
  • Familiarity with advanced reporting and analytics tools.
  • Be able to prioritize a complex workload, make difficult decisions, and resolve competing priorities
  • Proven record of operationalizing and deploying complex technology applications across business users from inception to delivery
  • Self-starter, forward-thinking, and ability to "get into the weeds" of business processes and technology capabilities to maximize value and outcomes
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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