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Sr. Product Manager, Lakeflow

Location
Amsterdam, Netherlands
Compensation
Not disclosed
Level
senior
Type
full time

Posted by employer 1 year ago

First seen on Joblaze 6 months ago

Last verified on the company career page 2 days ago

Requirements

Experience
5+ years
Education
Bachelor's degree

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Joblaze summary

In the role of Sr. Product Manager for Lakeflow at Databricks, the individual will focus on enhancing data orchestration capabilities within the company's Data Intelligence Platform. Key skills include a solid grasp of orchestration tools and data pipelines, along with strong analytical abilities. This position is ideal for someone with over five years of product management experience, particularly in technical environments. The role involves significant collaboration with cross-functional teams to drive product adoption and ensure customer satisfaction.

Joblaze insights

  • Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Databricks's careers page October 28, 2026.

Quick facts

How much experience is required?
At least 5 years of relevant experience for this Sr. Product Manager, Lakeflow role.
What's the tech stack?
Joblaze extracted these technologies from the posting: Airflow, Dagster, Lakeflow Pipelines, Prefect, Product Management, Python.
What seniority level is this role?
Databricks targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Sr. Product Manager, Lakeflow role at Databricks.

From the original posting

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At Databricks, we are passionate about enabling data teams to solve the world’s 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 world’s 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 we're 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 you’ll 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)

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

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