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Product Manager Machine Learning Jobs (NOW HIRING)

NTENT

Machine Learning Engineer

Carlsbad, CA

... products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web ...

Cccis

Senior Manager - Machine Learning

Chicago, IL · On-site

The Role We are seeking a Senior Manager to lead our Machine Learning (ML) team in the subrogation ... Partner with product managers and business stakeholders to define technical goals and outcomes for ...

Affirm

Manager, Machine Learning Engineering (Fraud)

$200K - $250K/yr

The Fraud Machine Learning team builds models that power critical decisions during the loan ... You will partner closely with Product, Fraud Analytics, Risk, and Platform teams to ensure high ...

Axon

Senior Machine Learning Engineer

San Francisco, CA · Hybrid

$144.30K - $190.30K/yr

Manager, Machine Learning Engineering * Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping the Axon of tomorrow. * Architect and develop secure ...

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Product Manager Machine Learning information

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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.
Senior Manager, Machine Learning Engineering

Senior Manager, Machine Learning Engineering

GoFundMe

San Francisco, CA

Other

Medical, Dental, Vision, Life, Retirement

Posted 22 days ago

Job description

Want to help us help others? We're hiring! 

GoFundMe is the world's most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes - for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join GoFundMe as our next Senior Manager, Machine Learning Engineering in the Applied Science organization, where you will lead a talented and motivated team to deliver high-impact solutions for our users and our business. In this role, you will design, build, and deploy innovative services and applications that leverage state-of-the-art machine learning and AI techniques from generative AI, personalization and recommender systems, search and retrieval systems, taxonomy and classification systems, and more. This role requires strong leadership and end-to-end execution at both strategic and tactical levels, supported by broad and deep expertise in machine learning, AI, and secure software development.

Candidates considered for this role will be located in the San Francisco, Bay Area. There will be an in-office requirement of 3x a week.

The Job

  • Build and manage a world-class team of engineers and scientists who specialize in the design and development of production applications that use machine learning and/or AI.
  • Translate product and business needs into scalable ML solutions with clear and measurable outcomes.
  • Look around the corner; identify opportunities to develop and deliver new technology that will delight customers, and advocate for these projects.
  • Provide technical leadership on algorithms, architectures, and tooling; set high standards, evangelize best practices, and influence decisions.
  • Drive the end-to-end ML lifecycle, including data pipelines, feature engineering, training, evaluation, A/B testing and experimentation, and production deployment.
  • Employ robust ML Ops practices: CI/CD, model serving, monitoring, alerting, and model/version governance.
  • Lead initiatives to streamline application development workflows, increase team velocity, and maximize business impact.
  • Contribute to strategic planning and the development of the Applied Science roadmap.
  • Coach and mentor engineers and scientists, fostering a culture of collaboration, continuous improvement, and engineering excellence within the team.
  • Champion responsible AI, privacy, and compliance in data use, modeling, and user experiences.

You

  • Have 9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields, emphasizing secure, large-scale, distributed system design and AI/ML pipeline and feature development.
  • Have 3+ years of experience managing teams of machine learning engineers, data scientists, data engineers, software engineers, and related roles.
  • Possess extensive experience designing, developing, and operating scalable backend systems and applying secure software engineering best practices.
  • Have deep expertise developing search and retrieval systems, personalization and recommender systems, ontologies and classification systems, and AI agents.
  • Demonstrate strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design.
  • Possess experience employing robust CI/CD pipelines, automated testing (unit and integration), automated model performance evaluation, and deployment practices.
  • Exhibit strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture.
  • Have a track record of innovation, cross-functional collaboration, and hiring top-tier talent.
  • Are an excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders.
  • Have a Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred).
  • Are proficient in Python and provisioning cloud-based infrastructure via code (AWS preferred).
  • Sense of humor is optional but appreciated.

Why you'll love it here

  • Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
  • Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
  • Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
  • Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
  • Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
  • Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
  • Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
  • Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

The total annual salary for this full-time position is $267,000 - $401,000 + equity + benefits. The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process. 

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We're proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org's activities and impact in their FY '25 annual report.

Our annual "Year in Help" report reflects our community's impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Metaview as part of our hiring process for jobs in NYC and certain features may qualify it as an automated employment decision tool (AEDT), as defined by New York City Local Law 144. As part of the hiring process, we provide Metaview with job requirements and candidate submitted resumes and application materials to assist in evaluating job-related qualifications. While this tool is used to improve efficiency and support our recruiting personnel, all final hiring decisions are made by GoFundMe employees.

We began using Metaview on March 10, 2026. The Metaview tool has been reviewed by an independent auditor. Results of the audit may be viewed here. The tool evaluates your professional experience, technical skills, education, and other qualifications using information collected directly from your submitted resume and application materials; all such data is retained in accordance with GoFundMe's Personnel Privacy Notice and applicable legal requirements. If you would like to request an alternative selection process or a reasonable accommodation, please contact accommodationrequests@gofundme.com.

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