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Product Manager Machine Learning Jobs in California

Adobe

Machine Learning Engineer

San Jose, CA · On-site

... product lines. Our platform caters to millions of users and billions of entities. Become part of ... Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and ...

EarnIn

Head of Machine Learning

Mountain View, CA · Hybrid

$477K - $583K/yr

As a fintech company where data and machine learning (ML) is integral to both our business strategy ... Collaborate with software engineers, data engineers, product managers, and marketing to coordinate ...

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Product Manager Machine Learning information

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.

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

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

What job categories do people searching Product Manager Machine Learning jobs in California look for?

The top searched job categories for Product Manager Machine Learning jobs in California are:

What cities in California are hiring for Product Manager Machine Learning jobs?

Cities in California with the most Product Manager Machine Learning job openings:

Product Manager Machine Learning jobs near you
Infographic showing various Product Manager Machine Learning job openings in California as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Engineering Manager, Machine Learning (Safety)

Socket.dev

San Francisco, CA • On-site

$272 - $306/hr

Other

Posted 10 days ago

Job description

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games.

Discord's Safety ML team builds the machine learning systems that protect 200M+ users. The team's mission is to make Discord a place where people can build genuine friendships without exposure to harm, at a scale where manual review alone can never keep up.

We’re looking for a highly technical, hands‑on, and mission‑driven Engineering Manager to lead our Safety ML team. As the manager responsible for Safety ML, you will own the detection systems that sit between attackers and our users; real‑time and batch models for content understanding, account integrity, and platform abuse.

What You’ll Be Doing
  • Build and lead an exceptional team of highly‑engaged ML engineers by hiring, coaching, and instilling a sense of ownership and impact.
  • Drive the technical vision and roadmap for Safety ML by collaborating with your team and partners across Trust & Safety, Product, Policy, Legal, and Data Science.
  • Own the end‑to‑end lifecycle of production safety models: defining new capabilities, measuring performance, and monitoring the operational health of systems that make millions of enforcement decisions per day.
  • Manage processes and leverage your technical expertise to continually raise the bar and ensure your team delivers extraordinary results.
  • Partner with Trust & Safety on label quality, golden sets, and automating manual investigations.
  • Work with other Engineering Managers to continuously improve the Engineering organization and uphold our workplace philosophy.
What you should have
  • You have 5+ years of experience as a Machine Learning Engineer, Data Scientist, or Applied Scientist.
  • You have 3+ years of experience as an Engineering Manager and successfully managed a team of 5+ engineers.
  • You have hands‑on depth in at least one of: abuse/fraud detection, content classification, behavioral modeling, graph‑based modeling, or LLM‑based classification systems.
  • You have strong communication skills and the ability to work well cross‑functionally.
  • You thrive in ambiguous environments and get excited about figuring out solutions to complex problems, and then executing on them.
  • You are a first‑principles thinker that can work with others to come up with pragmatic solutions.
  • You have a proven record of shipping ML systems to production at scale.
  • You are passionate about coaching and leading other engineers, but can roll up your sleeves and get elbow deep in code when needed.
  • You keep up with the industry trends and continuously identify new technologies to leverage to solve technical problems

The US base salary range for this full‑time position is $272,000 to $306,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job‑related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Why Discord?

Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!

Discord is committed to inclusion and providing reasonable accommodations during the interview process.

We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.

Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

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