Data Product Manager Jobs in California
Data Product Manager jobs in California are among the most active in the country, concentrated in technology, financial services, healthcare, and enterprise software across seniority levels from associate to director. The largest hiring metros are San Francisco, Los Angeles, and San Diego, where companies like Google, Salesforce, and Kaiser Permanente maintain deep product and data teams. The most in-demand specialties are AI and machine learning product management, data platform ownership, and analytics product development. Find a role that fits below and apply directly.
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Company Description
It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.
We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.
The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.
If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.
Job Description
Primary Function of Position:
The Product Manager will provide the Data Analytics & AI team an anchor and partner with cross-functional stakeholders at Intuitive to design, develop, and mature analytical capabilities. This person will deliver actionable business insights, drive data-informed product decisions, and architect robust analytical solutions enabling world-class product strategies. This critical role combines expertise in product analytics, business intelligence, data engineering, and data science to evaluate product health, user engagement, and adoption trends, and to identify and quantify opportunities for growth and improvement. The successful candidate is a detail-oriented, strategic thinker skilled in extracting value from data, designing scalable insight platforms, and communicating with diverse business and technology stakeholders.
Roles & Responsibilities
Product Performance Measurement
- Define, measure, and report key product KPIs and success metrics, ensuring alignment across the commercial org.
- Analyze user engagement, product adoption, and feature utilization through cohort analysis and exploratory data analysis.
- Identify product trends, pain points, and growth opportunities.
Advanced Analytics, AI & Data Science
- Apply statistical techniques, machine learning models, and predictive analytics to understand and optimize product performance.
- Conduct behavioral analysis, segmentation, and deliver recommendations to support increased product adoption and value realization.
- Lead the design, execution, and analysis of A/B tests and experimentation to support hypothesis-driven product enhancements.
- Develop and iterate on models to predict user engagement, churn, and feature impact.
- Lead the design, development, and deployment of AI/ML models, including large language model (LLM) integrations and autonomous agentic pipeline.
Provide Product Decision Support: Support data-driven prioritization, rapid experimentation, and iterative product development.
Data Product Development & Insights Architecture
- Collaborate with data engineering teams to define, maintain, and improve clean and governed datasets.
- Ensure the consistency, accuracy, and accessibility of key business and product metrics across dashboards and reporting tools.
- Contribute to the design and build of enterprise data products, self-serve insight platforms, and analytical tools that empower partners across the organization.
Stakeholder Management & Communication
- Act as the analytical partner to commercial stakeholders in product, engineering, and business operations.
- Present findings in clear, concise formats tailored for both technical and non-technical audiences.
- Contribute to strategic planning by providing data-informed perspectives and recommendations.
Qualifications
Required Qualifications
- Bachelor's degree in engineering, mathematics, computer science, data science, statistics, finance, or a similar quantitative field.
- 3–6 years of progressive experience in product analytics, business analytics, advanced analytics, or data science roles.
- 5+ years’ experience using data warehouse solutions and databases (using tools such as SQL, PL/SQL, etc.) Strong SQL skills, ability to perform optimized querying involving multiple tables and subqueries.
- Strong proficiency in Python (or R) for data analysis, modeling, and workflow automation.
- Demonstrated experience designing and building dashboards using tools such as Tableau, Looker, Power BI, or similar BI platforms.
- Solid understanding of statistical analysis, experimental design, data modeling, and practical application of analytics methods in business settings.
- Experience working with business system requirements and building solutions.
- Experience gathering/documenting business requirements, using industry standard business intelligence tools to extract data, formulate metrics and build reports.
- Experience with cloud platforms and the modern data stack (AWS, Azure, GCP, Snowflake, Redshift, BigQuery, Airflow).
- Familiarity with analytics modeling tools.
- Prior experience in data architecture, data pipeline design, and implementation of data governance/quality controls.
- Working knowledge of cloud-based data environments and efficient data engineering workflows.
- Familiarity with machine learning, predictive modeling, and relevant frameworks (scikit-learn, TensorFlow, etc.).
Key Skills
- Product analytics and KPI development
- Advanced data analysis and visualization
- Experimental design (A/B and multivariate testing)
- Data storytelling and business insight generation
- Business problem solving and product strategy support
- Insights architecture and data product development
- Stakeholder engagement and cross-functional collaboration
- Excellent written and verbal communication skills
- Intellectual curiosity and continuous process/data improvement mindset
- Strong problem-solving, quantitative, and analytical abilities; Solution-oriented
- Ability to effectively prioritize projects, manage multiple competing priorities simultaneously and drive projects to completion
Additional Information
Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.
Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
Mandatory Notices
U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.
Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).
For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.
Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.
This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills.
Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law.
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.
Base Compensation Range Region 1: $166,000 USD - $238,800 USD
Base Compensation Range Region 2: $141,100 USD - $203,000 USD
Shift: Day
Workplace Type: Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader.
LOCATION
- Sunnyvale, CA, United States
- Not Remote
- Information Technology & Systems
- JOB215635
See All 367+ Data Product Manager Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Data Product Manager JobsData Product Manager Jobs by City in California
Where California roles are concentrated, by current openings.
Data Product Manager Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Apple52

- Google15

- TikTok15

- Amazon12

- NVIDIA12

Top Industries Hiring
- Technology & Software151
- Electronics & Hardware50
- Banking & Financial Services26
- Science & Research20
- Retail14
What California Employers Look For
The qualifications that appear most often in data product manager jobs across California.
- Bachelor's degree in computer science, statistics, engineering, or a related quantitative field
- Three or more years of product management experience with a focus on data or analytics products
- Demonstrated ability to write clear product requirements and translate data insights into roadmaps
- Experience working with SQL, Python, or BI tools such as Tableau or Looker
- Proven cross-functional collaboration with data engineering, analytics, and business stakeholders
- Familiarity with agile development processes and data governance or privacy frameworks
Data Product Manager Jobs in California: Frequently Asked Questions
How do you become a data product manager in California?
Most data product managers in California enter the field by combining a degree in a quantitative discipline such as computer science, statistics, or information systems with hands-on experience in data analysis or software product roles. There is no state-issued license required to work as a data product manager. California employers place heavy weight on a portfolio demonstrating shipped data products, SQL proficiency, and experience with agile teams at technology or analytics-driven companies.
Which companies hire data product managers in California?
Employers hiring data product managers in California right now include Apple, Google, and TikTok, based on current listings on Migrate Mate as of June 2026. California's concentration of enterprise technology headquarters and large healthcare systems means demand is distributed across both established platforms and high-growth product organizations.
Which California cities have the most data product manager jobs?
San Francisco, Cupertino, and Sunnyvale have the most data product manager openings in California. San Francisco leads because of its density of technology headquarters and venture-backed data companies, while Los Angeles draws demand from media, entertainment, and fintech, and San Diego adds volume through its biotech and defense technology sectors.
Are there remote data product manager jobs in California?
Yes, and more than most fields. About 29% of data product manager openings tied to California are remote or hybrid as of June 2026, reflecting the desk-based and collaborative-but-async nature of the work. Strategy, roadmapping, and stakeholder alignment tasks tend to be the most remote-compatible parts of the role.
How can I get hired as a data product manager in California with little or no experience?
The most realistic entry path is a lateral move from a data analyst, business intelligence, or software engineer role into an associate product manager program. Large California technology employers including Google, Meta, and Salesforce run structured associate product manager programs that welcome candidates transitioning from data-adjacent roles. Building a portfolio of case studies, earning a product management certificate from a recognized program, and targeting companies with strong internal mobility from analytics into product ownership significantly improves early-career placement.
Where can I find and apply to data product manager jobs in California?
You can find and apply to data product manager jobs in California on Migrate Mate, which lists current California openings across industries and seniority levels. Find roles that fit your background and apply directly to the ones that match.
See All 367+ Data Product Manager Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Data Product Manager Jobs