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Product Management Intern

Job in 1000, Amsterdam, Noord-Holland, Netherlands
Listing for: Databricks Inc.
Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2025-12-23
Job specializations:
  • IT/Tech
    Data Science Manager, Data Engineer, Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 EUR Yearly EUR 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Product Management Intern (2026

Skip to main content Overview Culture Benefits Diversity Engineering Research Students & new grads Back to search results Product Management Intern (2026) - Amsterdam Amsterdam, Netherlands

P-1452

At Databricks, we are passionate about helping data teams 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.

As a Product Management Intern ,you willjoin ateam that works diligently to understand and solve our customers' most challenging problems. You will learn how to be a successful PM at a high-growth enterprise technology company that operates at theimportantintersection of data and AI. We're hiring across all of our teams, including Machine Learning, Unity Catalog,Databricks SQL, ETL, Streaming, EDA, and Content Organization.

You will have a dedicated mentor and will join our 2026 intern cohort where you'll connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company.

This is a 12 week paid summer internship program in either Amsterdam or Berlin.

The impact you will have:

  • Work with a team to build features for the Databricks platform
  • Manage your project end-to-end, including design, code, and feedback
  • Learn about building a platform that scales quickly while maintaining quality and security

What we look for:

  • Pursuing a degree in computer science or related engineering subject
  • You have some experience with SQL and/or Python
  • You use analytical skills to make data-driven decisions (e.g. analyze product usage)
  • You can make complex topics simple and clearly communicate nuance to partners (engineers, customers, field, etc.) in both written and verbal form
  • You are excited to solve ambiguous problems with a collaborative team

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.

To learn more, follow Databricks on Twitter ,Linked In and Facebook .

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, please visit .

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.

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