Role at a glance
- Salary
- Not Disclosed
- Location
- Amsterdam, Netherlands EMEA
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 6+ yrs of experience
- Education
- Bachelors degree in Computer Science or similar field
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Role Summary
The Product Manager will lead the Databricks Runtime team in Amsterdam, working across query processing, storage, infrastructure, and data governance within the Databricks data intelligence platform. The role is responsible for taking products from vision through implementation and launching features that help customers process large-scale data and operate ETL and machine learning workflows more efficiently.
What You'll Do
- Own the end-to-end product management process.
- Gather customer requirements, design features, and collaborate with engineering to deliver a polished market-ready product.
- Drive launches with product marketing through blog posts, release notes, and webinars.
- Define and measure OKRs for products.
- Drive the prioritization and development of features.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Experience in Product Management (inbound, outbound, cross-functional processes); solid understanding of cloud infrastructure (AWS, Azure); strong data analysis and operationalization skills (SQL, rollups, building operational dashboards).
Required
- 6+ yrs of experience
- Bachelors degree in Computer Science or similar field
- Experience in Product Management (inbound, outbound, cross-functional processes)
- Solid understanding of cloud infrastructure (AWS, Azure)
- Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards)
Original job description
Content provided by the employer
Original job description
Content provided by the employer
P-1345
You will be the Product Manager for the Databricks Runtime team in Amsterdam. The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data.
This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.
The impact you will have:
- Own the end-to-end product management process
- Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product
- Drive launches with product marketing through blog posts, release notes, webinars
- Define and measure OKRs for your products
- Drive the prioritization and development of features, measurably reducing the cost and time needed for operating ETL and machine learning workflows.
What we look for:
- 6+ yrs of experience
- Bachelors degree in Computer Science or similar field
- Experience in Product Management (inbound, outbound, cross-functional processes)
- Technical skills
- Solid understanding of cloud infrastructure (AWS, Azure)
- Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards)
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.