Senior Product Manager

Responsibilities

• Define strategy and roadmap for orchestration, triggers, authoring, and observability
• Translate customer needs into features and integrations to accelerate Lakeflow Jobs adoption
• Define success metrics for adoption, engagement, and developer efficiency
• Partner with global engineering, field engineering, and solution architects
• Champion customer needs by conducting user research and advocating for friction-reducing features
• Own the product lifecycle including PRDs, release notes, and documentation

Requirements

• 5+ years of professional experience
• Bachelor's degree in Computer Science or a similar field
• Experience in Product Management (inbound, outbound, and cross-functional processes)
• Solid understanding of orchestration tools such as Airflow, Dagster, or Prefect
• Technical understanding of data pipelines including Spark, dbt, or Lakeflow Pipelines
• Strong data analysis and operationalization skills using SQL and Python

About the Company

Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.