DataHub is the leading open-source data catalog helping teams discover, understand, and govern their data assets. Unlock data intelligence today. Backed by Bessemer.
About the role
DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility.
What they're looking for
- 4+ years of experience in product management or related function
- Previous experience working on Products with PLG or self-serve growth motion
- Deeply quantitative and enjoy rolling up your sleeves and exploring the data and connecting it to strategic initiatives
- Experience in the data space, using or building data tools
- Excellent written and verbal communicator
- Previous experience working with the modern data stack (Fivetran, Snowflake, BigQuery, Redshift, Spark, dbt, Looker, PowerBI, etc)
More about this role
DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility.
The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos.
As a Senior Product Manager, for Observability & Data Quality, at DataHub, you will work cross-functionally to help guide products from ideation to launch by connecting the technical needs of users and the business needs of our company. You will help define the vision, goals, and strategy we pursue in concert with engineers, designers, sales, and partners that move the practice of analytics engineering forward. We are pursuing an ambitious AI strategy, focused on building a unified...
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