Sr. Product Manager, Lakeflow

Databricks
Amsterdam
Workplace: OnsiteFull timeFunction: Product ManagementExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving","Collaboration","Leadership","Stakeholder management"]

Lead product strategy and roadmap for Databricks Lakeflow Jobs, focusing on data-aware orchestration, control-flow, and observability to enable production-ready workflows. Collaborate with engineers, field teams, and customers to define features, improve adoption, and drive launches that improve developer efficiency and reliability across data pipelines and workloads.

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FursaFursa
Databricks
Databricks
10 months ago

Sr. Product Manager, Lakeflow

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Lead product strategy and roadmap for Databricks Lakeflow Jobs, focusing on data-aware orchestration, control-flow, and observability to enable production-ready workflows. Collaborate with engineers, field teams, and customers to define features, improve adoption, and drive launches that improve developer efficiency and reliability across data pipelines and workloads.
Location: Amsterdam
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management

Key Responsibilities

  • •Define strategy and roadmap for orchestration, triggers, authoring, and observability, translating customer needs into features and integrations.
  • •Drive metrics for adoption, engagement, and developer efficiency; use data to guide product decisions.
  • •Collaborate cross-functionally with global engineering, field engineering, and solution architects to deliver impactful features.
  • •Champion customer needs by talking to hundreds of customers and reducing friction in authoring, monitoring, and orchestrating workloads.
  • •Own the product lifecycle: write PRDs, release notes, and documentation, and drive launches for customer and business success.

Key Requirements

  • •5+ years of experience in product management or equivalent
  • •Bachelor's 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 understanding of data pipelines (Spark, dbt, Lakeflow Pipelines) and strong data analysis and operationalization skills (SQL, Python, building operational dashboards)
Experience:5+ yearsData orchestrationData pipelinesAI/MLCloud
Education:Bachelor's
Skills:CommunicationProblem-solvingCollaborationLeadershipStakeholder management
Languages:English
Tech Stack:AirflowDagsterPrefectSparkDbtLakeflow PipelinesSQLPython

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn