Databricks

Product Manager Lakeflow

In short

Product Manager role at Databricks, a data and AI infrastructure platform company, owning the strategy and roadmap for Lakeflow Jobs orchestration, triggers, authoring, and observability. The role involves working closely with engineering, field teams, and customers to drive feature adoption and product launches. Requires 5+ years of Product Management experience, a technical understanding of data pipelines (Spark, dbt, Airflow, Dagster, Prefect), and strong SQL/Python data analysis skills. Based in Amsterdam, remote work format.

About
Databricks builds and runs a data and AI infrastructure platform that organizations use to develop and scale data and AI apps, analytics, and agents.
Responsibilities
•Define the strategy and roadmap for orchestration, triggers, authoring, and observability
•Translate customer needs into features and integrations that accelerate Lakeflow Jobs adoption
•Define success metrics for adoption, engagement, and developer efficiency, and use data to guide roadmap decisions and refine the product experience
•Partner with global engineering, field engineering, solution architects, and external partners to deliver features and integrations
•Talk to customers, understand their journeys, and advocate for features that reduce friction in authoring, monitoring, and orchestrating workloads
•Own the product lifecycle by writing PRDs, release notes, and documentation, and driving launches that support customer and business success
Requirements
•5+ years of experience
•Bachelor's degree in Computer Science or a similar field
•Experience in Product Management, including inbound, outbound, and cross-functional processes
•Solid understanding of orchestration tools such as Airflow, Dagster, and Prefect
•Technical understanding of data pipelines, including Spark, dbt, and Lakeflow Pipelines
•Strong data analysis and operationalization skills, including SQL, Python, and building operational dashboards
Conditions
•Location: Amsterdam

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