Sr. Product Manager, Lakeflow

Databricks

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profile Job Location:

Amsterdam - Netherlands

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

RDQ426R402

At Databricks we are passionate about enabling data teams to solve the worlds toughest problems from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the worlds best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer obsessed we leap at every opportunity to tackle technical challenges from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And were only getting started.

As a Product Manager on the Lakeflow Jobs team you will shape the future of data-aware orchestration on the Databricks Data Intelligence Platform. Jobs is Databricks built-in orchestrator managing hundreds of millions of workloads every week with 99.95% reliability. It powers ETL AI/ML BI and streaming workloads for thousands of customers. Your focus will be on evolving control-flow capabilities authoring experiences and observability features that allow customers to productionize workflows with best practices like source control code promotion and system observability.

This role requires a deep understanding of orchestration workflows data pipelines and service reliability. You will work closely with engineers designers field teams and customers to define the roadmap drive adoption and ensure Jobs is the best-in-class orchestration platform for modern data and AI teams.

The impact youll have:

  • 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.

What we look for:

  • 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)


Required Experience:

Senior IC

RDQ426R402At Databricks we are passionate about enabling data teams to solve the worlds toughest problems from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the worlds best data and AI infrastructure pla...
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Key Skills

  • Time Management
  • Data Analytics
  • Analytical
  • Agile
  • Requirement Gathering
  • Strategic thinking
  • Visio
  • Communication
  • Problem Solving
  • Market Research
  • UML
  • Cross Functional Teams

About Company

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The Databricks Platform is the world’s first data intelligence platform powered by generative AI. Infuse AI into every facet of your business.

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