38 results for Data Product Manager Jobs in 94118, SF, CA, US

Responsible for product management of a new product area, including vision, strategy, roadmap, execution, and go-to-market. Collaborate with product teams on data engineering, data warehousing, governance, and AI/ML. Manage the full product development lifecycle from ideation to launch.

Manage a portfolio of products for the Sales & Support use case, build vision and strategy, design data schemas, collaborate with analytics for reporting, work with engineering teams to ensure data quality, and prioritize product improvements based on revenue usage.

Lead the strategy and execution for Ads Data products, manage event data pipelines, define data models, collaborate with various teams for accurate data representation, ensure compliance with data privacy regulations, and drive product execution to optimize data pipelines and ad performance insights...

Manage multiple work streams within Trust & Safety products, mentor analysts, establish analytical processes, collaborate with various teams to translate data insights into features, define key metrics, build dashboards, and lead experimentation efforts.

Responsible for defining product vision and strategy, leading cross-functional teams through the product lifecycle, conducting market research, prioritizing features, driving product development, ensuring data governance, and optimizing data platform performance to meet business needs.

OverviewWe are looking to hire a Product Manager who will define, build, and own the next generation of data and developer experiences (DDE) for Wherobots. Geospatial data has been special and challenging to work with, and these factors limit its utility. This person will define and own the experien...

Responsible for leading the development and management of data-driven products and services, defining product vision and strategy, maintaining product roadmaps, coordinating cross-functional teams, managing product development processes, and making build vs. buy decisions.

Lead product management for the Lakeflow product area, driving vision, strategy, roadmap, and execution. Partner with various product teams to enhance Data Engineering across the Databricks portfolio. Own the entire product development life cycle from ideation to market launch.