Senior Product Manager - Data Products
Demandbase- Full Time
- Senior (5 to 8 years)
dbt Labs is a company dedicated to helping analysts create and disseminate organizational knowledge. They have pioneered analytics engineering, built the primary tool in the analytics engineering toolbox, and fostered a strong community. As of February 2025, they have surpassed $100 million in annual recurring revenue (ARR) and over 5,100 dbt Cloud customers, with 85% year-over-year growth in adoption among Fortune 500 companies. dbt plays a critical role as the data control plane for enterprise data teams.
Since 2016, dbt Labs has been on a mission to help analysts create and disseminate organizational knowledge. They've pioneered the practice of analytics engineering, built the primary tool in the analytics engineering toolbox, and have been fortunate enough to see a fantastic community coalesce to help push the boundaries of the analytics engineering workflow. Today, there are 50,000 teams using dbt every week, 100,000 dbt Community members, and over 5,100 dbt Cloud customers.
As the Product Manager for dbt Labs’ Semantic Layer, you will be at the forefront of driving product vision, strategy, and execution for one of our top company initiatives. You will partner closely with engineering, developer experience, design, sales, and community teams to ensure that the Semantic Layer product—encompassing areas like MetricFlow, caching, and API integrations—meets the evolving needs of our customers and partners. Your insights will shape both proprietary and source-available components, balancing technical feasibility with market dynamics to build trust and drive adoption.
Cloud-based data management platform for analytics
GetDBT.com is a cloud-based data management platform that helps companies streamline their data development processes. It allows users to write business logic more efficiently, enhances code reusability, and ensures data quality through testing and governance features. Unlike its competitors, GetDBT.com focuses on scalability and complexity, making it suitable for businesses at various stages of data maturity. The company's goal is to empower organizations to manage their data effectively while providing reliable service through a subscription model.