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Sr. Product Manager, Lakeflow

Databricks· Databricks
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AmsterdamFull-timePosted 11mo ago

About the role

Product Manager on the Lakeflow Jobs team focused on data-aware orchestration within the Databricks Data Intelligence Platform. Drives strategy, roadmap, and observability features for Jobs to productionize workflows.

Responsibilities

  • Define strategy & roadmap: Set vision and priorities across orchestration, triggers, authoring, and observability. Translate customer needs into features and integrations that accelerate Lakeflow Jobs adoption.
  • Drive metrics & observability: Define success metrics for adoption, engagement, and developer efficiency. Use data to guide roadmap decisions and refine the product experience.
  • Collaborate cross-functionally: Partner with global engineering, field engineering, solution architects, and external partners to deliver impactful features and integrations.
  • Champion customer needs: Talk to hundreds of customers, understand their journeys, and advocate for features that reduce friction in authoring, monitoring, and orchestrating workloads.
  • Own the product lifecycle: Write PRDs, release notes, and documentation, and drive launches that ensure customer and business success.

Qualifications

  • 5+ yrs of experience
  • Bachelors degree in Computer Science or similar field
  • Experience in Product Management (inbound, outbound, cross-functional processes)
  • Solid understanding of major orchestration tools (Airflow, Dagster, Prefect etc.)
  • Technical skills understanding of data pipelines (Spark, dbt, Lakeflow Pipelines)
  • Strong data analysis and operationalization skills (SQL, Python, building operational dashboards)

Skills

Required:Orchestration toolsData pipelines

Benefits

  • Benefits detailed in regional policy document linked in job posting.
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

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Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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