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Product Manager Machine Learning Jobs (NOW HIRING)

Meta

Product Manager, Machine Learning

Menlo Park, CA

$173K/yr

Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and execution skills * Is the primary driver for identifying significant opportunities, and driving ...

Overstory

Staff Product Manager, Machine Learning

... of product management experience, with a track record that proves both craft and shipping speed. * Hands-on experience building and shipping products powered by machine learning models. You ...

Etsy

Senior Product Manager, Recommendations

New York, NY · On-site +1

$138K - $182K/yr

Product Managers at Etsy are full members of their teams, working side by side with engineers (full-stack and machine learning), applied scientists, and analysts to reason about system behavior ...

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Product Manager Machine Learning information

See salary details

$51.5K

$159.4K

$197K

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

As of Sep 10, 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 does a product manager 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 are the key skills and qualifications needed to thrive as a product manager machine learning?

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 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 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.

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Cities with the most Product Manager Machine Learning job openings:

What states have the most Product Manager Machine Learning jobs?

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What are popular job titles related to Product Manager Machine Learning jobs?

For Product Manager Machine Learning jobs, the most frequently searched job titles are:

Product Manager Machine Learning jobs near you
Infographic showing various Product Manager Machine Learning job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

Product Manager, Machine Learning

Menlo Park, CA

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$173K/yr

Full-time

Re-posted 23 days ago

Key responsibilities

  • Drive product vision, strategies, and roadmaps based on data, research, and market analysis.

  • Lead and motivate a cross-functional team of engineers, designers, data scientists, and researchers to build products.

  • Identify significant opportunities and incorporate organizational goals to develop and deliver products aligned with Meta's mission.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely entrepreneurial Product Managers with Machine Learning expertise who value moving quickly, and can help innovate and coherently drive product initiatives across the company.
Product Manager, Machine Learning Responsibilities:
  • Display strong leadership, organizational and execution skills
  • Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals
  • Incorporate data, research and market analysis to inform product strategies and roadmaps
  • Leads and motivates a team of engineers and other cross-functional representatives, and maintains team health
  • Understand Facebook’s strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
  • Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm

Minimum Qualifications:
  • 8+ years product management or related industry experience with domain specific expertise in Machine Learning
  • Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:
  • Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
  • Experience delivering technical presentations
  • Experience in analyzing complex, large-scale data sets and making decisions based on data
  • Experience in gathering requirements across broad areas and users, and converting and developing them into a product solution
  • Displaying leadership, organizational and execution skills
  • Proven communication skills

Preferred Qualifications:
  • Experience with leveraging ML/AI to build large scale consumer products.
  • Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution.
  • Experience defining vision and strategy for a product.
  • Experience recruiting and leading a cross-functional team of world-class individuals.
  • Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are the norm.
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$173,000/year to $241,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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