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Data Science Product Manager Jobs in California (NOW HIRING)

Whatnot

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

Partner closely with Product, Engineering, Marketing, Finance, Trust & Safety, and other cross ... Manage, coach, and develop high-performing data scientists while hiring thoughtfully as the ...

Adobe

Senior Manager, GTM Data Science

San Francisco, CA

$149K - $196K/yr

Adobe's creative products empower millions of customers-from individual creators and creative ... of data science, product analytics, marketing analytics, and business performance management.

Adobe

Senior Manager, GTM Data Science

San Jose, CA · On-site

$148K - $195K/yr

Adobe's creative products empower millions of customers-from individual creators and creative ... of data science, product analytics, marketing analytics, and business performance management.

Figma

Manager, Data Science - AI Product

San Francisco, CA · On-site

$235K - $348K/yr

Lead, support, and grow a team of data scientists and data science managers with varied strengths and expertise focused on product strategy, internal tooling, and Impact measurement * Champion data ...

Harvey

Data Scientist, Product

San Francisco, CA · On-site

$155K - $260K/yr

What You Have * 5+ years of experience in data science, product analytics, economics, statistics, or another quantitative field, ideally in a high-growth product company, AI company, research ...

NextDeavor Inc.

Data Product Manager

San Jose, CA · Hybrid

$54.65 - $68.31/hr

Data Product Manager Full-time San Jose, CA You'll be joining Adobe on a contract opportunity ... You will work cross-functionally with data engineering, data science, and analytics teams to ...

Discord

Data Engineer

San Francisco, CA · On-site

$180K - $200K/yr

Partner closely with data science, product manager, and engineering teams to translate business questions into well modeled, performant, and discoverable data assets * Establish and enforce data ...

Figma

Director, Data Science

San Francisco, CA · On-site +1

The AI Product's Data Science org is at the center of the next generation of products at Figma ... This team contributes to the company's goals by collaborating closely with product managers ...

MediaAlpha

Staff Product Manager

Los Angeles, CA · On-site

MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The ... You'll also mentor other product managers across the demand organization, raising the bar for ...

LMI

Data Scientist - Clearance Required

Fort Bragg, CA · On-site

... managers, operational users, and senior mission-partner leaders. * Develop and maintain customer-focused data science products, including applications, dashboards, analytical models, and research ...

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All JobsData Science Product JobsData Science Product Manager JobsData Science Product Manager Jobs in California

Data Science Product Manager information

See California salary details

$50.8K

$157.3K

$194.4K

How much do data science product manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science product manager in California is $157,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,200.00 and $194,400.00 per year, depending on experience, location, and employer.

What is a Data Science Product Manager?

A Data Science Product Manager is a professional who bridges the gap between data science teams and business objectives by guiding the development of data-driven products. They work closely with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure successful product delivery. Their role involves understanding both the technical aspects of machine learning and analytics as well as user needs and business strategy. This ensures that data-powered products are effective, user-focused, and aligned with organizational goals.

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

To thrive as a Data Science Product Manager, you need a strong background in product management, data analytics, and a foundational understanding of machine learning, often supported by a degree in a technical or quantitative field. Familiarity with tools like SQL, Python, JIRA, and knowledge of data platforms and agile methodologies is typically required. Excellent communication, strategic thinking, and the ability to bridge technical and non-technical teams are vital soft skills. These competencies ensure successful product development, effective stakeholder alignment, and the delivery of impactful data-driven solutions.

What is the difference between Data Science Product Manager vs Data Analyst?

AspectData Science Product ManagerData Analyst
Required credentialsBackground in data science, product management, or related fields; often requires experience with machine learning and data-driven product developmentTypically holds a degree in statistics, mathematics, or business; skills in data visualization and basic analytics
Work environmentCollaborates with product teams, data scientists, engineers; focuses on developing data products and strategiesWorks with business units to interpret data, generate reports, and support decision-making
Employer and industry usageUsed in tech companies, e-commerce, and organizations developing data-driven productsCommon across finance, marketing, healthcare, and business intelligence roles

The main difference is that Data Science Product Managers oversee the development of data products and strategies, requiring a blend of product management and data science skills. Data Analysts focus on interpreting data and generating insights to support business decisions. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

How does a Data Science Product Manager typically collaborate with data scientists and engineers during a product lifecycle?

A Data Science Product Manager plays a crucial role in bridging the gap between business objectives and technical teams. Throughout the product lifecycle, they work closely with data scientists to define project goals, prioritize features, and translate business needs into actionable data-driven solutions. They also coordinate with engineers to ensure the seamless integration of machine learning models into products, address technical constraints, and facilitate communication between cross-functional teams. This collaborative approach ensures that data science initiatives are both technically feasible and aligned with overall business strategy.

Who gets paid more, a data scientist or a data science product manager?

Typically, data science product managers earn higher salaries than data scientists due to their broader responsibilities, including strategic planning, cross-functional coordination, and product ownership. Data science product managers often have strong business acumen and project management skills, which contribute to their higher compensation. However, salary differences can vary based on experience, industry, and location.
What are popular job titles related to Data Science Product Manager jobs in California? For Data Science Product Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science Product Manager jobs in California look for? The top searched job categories for Data Science Product Manager jobs in California are:
What cities in California are hiring for Data Science Product Manager jobs? Cities in California with the most Data Science Product Manager job openings:
Data Science Product Manager jobs near you
Infographic showing various Data Science Product Manager job openings in California as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, 2% Temporary, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $157,317 per year, or $75.6 per hour.

Manager, Data Science

Whatnot

San Francisco, CA • On-site

$221K - $320K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 13 days ago

Job description

Join the Future of Commerce with Whatnot!
Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
Join the Future of Commerce with Whatnot!
Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. We're re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we're inspired by innovation and anchored in our values. With hubs in the US, UK, Ireland, Poland, and Germany, we're building the future of online marketplaces-together.
From fashion, beauty, and electronics to rare collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.
And we're just getting started! As one of the fastest growing marketplaces, we're looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.
Role
We're looking for a Manager, Data Science to lead a high-impact team working on core marketplace problems. In this role, you'll own measurement, experimentation, and analytical strategy across some of our most important growth, discovery, and ecosystem questions, helping drive durable, profitable GMV across the marketplace.
This is a hands-on leadership role. You'll manage and develop a strong team of data scientists while also staying close to the work yourself-shaping methodology, raising the quality bar, and helping the company make better product and investment decisions. Depending on business needs and candidate fit, this role may support buyer or seller domains.
  • Lead a team of data scientists working on high-impact marketplace problems across areas such as growth, discovery, incentives, ads, ranking, and ecosystem health
  • Build and operationalize strong measurement foundations, including KPI frameworks, dashboards, diagnostics, and recurring business review rhythms
  • Raise the bar for experimentation quality through better test design, guardrails, observability, and interpretation
  • Partner closely with Product, Engineering, Marketing, Finance, Trust & Safety, and other cross-functional teams on complex marketplace and growth problems
  • Drive analytical strategy for major product and business investments, helping teams understand performance, profitability, and tradeoffs
  • Support work on discovery, personalization, matching, and monetization across evolving parts of the marketplace
  • Improve how teams use data by building scalable frameworks, self-serve analytics, and high-quality analytical assets
  • Help your team adopt modern tooling, including AI-enabled workflows, to improve speed, leverage, and decision-making
  • Manage, coach, and develop high-performing data scientists while hiring thoughtfully as the business grows
  • Nice to have:
    • Experience in marketplaces, two-sided platforms, or live/social consumer products
    • Experience with incentives, pricing, LTV, ads, marketplace health, or ecosystem economics
    • Background in ranking, recommendations, personalization, or growth experimentation
    • Experience building approaches, tools, or methodologies that scaled beyond your immediate team

We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, San Francisco or Los Angeles hub.
You
People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
  • 7+ years of experience in data science, product analytics, experimentation, economics, or a related quantitative field
  • 2+ years of experience managing or tech-leading high-performing data scientists or quantitative teams
  • Strong hands-on foundation in analytics, experimentation, causal reasoning, and statistical methodology
  • Experience supporting consumer product, growth, marketplace, monetization, or ecosystem-focused teams
  • Track record of building measurement systems and analytical frameworks that improve decision quality
  • Strong product and business judgment, with the ability to connect detailed analysis to broader company outcomes
  • Ability to operate effectively in ambiguity and adapt quickly as priorities evolve
  • Strong communication and stakeholder management skills, including experience working cross-functionally with senior partners
  • Track record of coaching and developing strong individual contributors
  • Enthusiasm for modern data tooling and AI-enabled workflows that improve team productivity

Benefits
  • Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
  • Health Insurance options including Medical, Dental, Vision
  • Work From Home Support
    • Home office setup allowance
    • Monthly allowance for cell phone and internet
  • Care benefits
    • Monthly allowance for wellness
    • Annual allowance towards Childcare
    • Lifetime benefit for family planning, such as adoption or fertility expenses
  • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  • Monthly allowance to dogfood the app
    • All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
  • Parental Leave
    • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

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