1,303 data product manager jobs at 518 companies in Santa Clara, CA
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Data Product Manager, Finance
New York City or Austin or Palo Alto or San Francisco
$108k-$212k/yrHybridFull Time
MongoDBNASDAQ: MDB: Cloud-based document database platform for software application development.
3+ YOE3-5 years product management, data products/analytics, Finance stakeholder collaboration, knowledge of data platforms, SOX awareness, strong cross-functional communication.
BI tools, Analytics tools, Data engineering tools, SQL, Python
New York or San Francisco or Bristol or Santa Monica
$180k-$241k/yrHybridFull Time
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
8+ YOE8+ years in data product management or instrumentation; experience leading teams; hands-on experience with enterprise measurement platforms; proficiency in SQL or Python; strong product sense, communication, and data governance knowledge.
Wells FargoNYSE: WFC: Global provider of banking, investment, and mortgage financial services.
5+ YOERequires 5+ years of data product or data management experience, with expertise in data governance, quality, metadata, lineage, customer data, strategy, roadmaps, and cross-functional execution.
New York City or San Francisco or Bristol or Santa Monica
$172k-$252k/yrHybridFull Time
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
8+ YOE8+ years in data product management or instrumentation, team leadership experience, bachelor's degree, hands-on experience with enterprise measurement platforms, proficiency in SQL and/or Python, strong product sense and communication.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
5+ YOE5+ years product management experience; 3+ years hands-on analytics with SQL and/or PySpark, data pipelines, and modeling. Experience with Databricks, Splunk, Kafka, Adobe Analytics, Customer Journey Analytics, or Tableau. Strong statistics, taxonomy, agile, and storytelling skills.
Specialized: Designs and manufactures high-performance bicycles and cycling equipment.
5+ YOE5+ years product management, 3+ in data/analytics/AI; proven AI/ML product to production; strong data stack and stakeholder management; Jira/Confluence experience.
Windfall: Provides consumer financial data and AI-driven go-to-market insights.
5+ YOE5+ years product management building data or analytics SaaS products; strong understanding of modern data systems; cross-functional leadership; analytical problem-solving; Jira experience; BS degree preferred.
GEICO: Provides vehicle and property insurance services to consumers.
10+ YOEBachelor's degree required, 10+ years product management experience delivering data or analytics products, deep knowledge of enterprise data platforms, ETL, data governance, data architecture, and Agile practices; strong leadership and communication skills.
San Francisco or Scottsdale or Chicago or New York City
$106k-$170k/yrHybridFull Time
Early Warning Services: Operates payment and risk solutions for the financial industry.
5+ YOEBachelor's in STEM typical;5+ years product/data/product management experience;3+ years hands-on with data teams;proficiency with SQL, Spark, Python;Agile/Jira experience;strong communication and stakeholder management.
Dyna Robotics: Develops general-purpose robots powered by proprietary embodied AI models.
4+ YOERequires 4+ years of product management experience with ML labeling, annotation, or training data pipelines; familiarity with ML infrastructure; tooling experience; and willingness to travel regularly to customer sites.
SnowflakeNYSE: SNOW: Cloud-based platform for data storage, processing, and analytics.
5+ YOE5+ years of product management in data infrastructure or observability; AI/ML familiarity; strong customer empathy; defines strategy and roadmaps.
Pure StorageNYSE: PSTG: Provides all-flash enterprise data storage and management solutions.
3+ YOE3+ years product management experience shipping software; strong technical foundation in data security/governance/engineering/AI applied to data; hands-on familiarity with dashboarding/reporting tools and customer-facing discovery.
Microsoft Power BI, Tableau, Databricks, Snowflake, BigQuery
Gallup: Provides global analytics and advice for leaders and organizations.
7+ YOEBachelor's degree or equivalent experience; 7+ years in product management, including 4+ years with data platforms or infrastructure; deep data engineering knowledge; U.S. work authorization; onsite at least 3 days weekly.
KlaviyoNYSE: KVYO: Software platform for automated e-commerce marketing and customer data.
Proven product management experience in data infrastructure or platform environments; deep data architecture and distributed systems knowledge; technical fluency, metrics-driven decision making, AI/automation familiarity, and strong cross-functional leadership.
EvenUp: AI-powered document generation and analysis for personal injury law.
4+ YOE4+ years product management in B2B SaaS, 0-to-1 experience turning data into product differentiation, technical depth to partner with data engineering/ML, strong user research and communication skills.
ZscalerNASDAQ: ZS: Provides cloud-native cybersecurity solutions through zero trust architecture.
Product management or data science experience; AI/ML/LLM in production; data classification for structured/unstructured data; design of human-in-the-loop workflows; cost/performance tradeoffs for AI at scale.
WalmartNYSE: WMT: Operates a chain of hypermarkets, discount stores, and grocery stores.
7+ YOEBachelor's degree in computer science, engineering, or related area plus 7 years of product management experience, or 9 years of product management experience. Data product experience required; healthcare preferred.
Scintilla, Scintilla Health, Web Content Accessibility Guidelines (WCAG) 2.2 AA
Motorq: Connected vehicle intelligence platform for fleet operators and OEMs.
2+ YOERequires 2+ years in product, engineering, or data-focused work; experience with data integration or platforms preferred. Analytical, communication, specification, collaboration, and automotive data knowledge are valued.