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Product Management Intern (2027)

Databricks· Product
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Hybrid (Belgrade)internPosted 1w ago

About the role

Product Management Intern role at Databricks, part of a 12-week paid summer internship program in Amsterdam, Belgrade, or Berlin, focused on understanding customer problems, prototyping solutions, and shipping features on the Databricks platform.

Responsibilities

  • Deeply understand customer problem space and establish the rails for viable solution space
  • Prototype and test early ideas with customers and engineers to validate direction before the team commits to a build
  • Work with engineers and designers to ship features on the Databricks platform
  • Own your project end-to-end — design, build, launch, and iterate on feedback
  • Build with scale, quality, and security in mind from day one

Qualifications

  • Pursuing a bachelor's or master's in computer science or a related engineering field graduating between Fall 2027 and Summer 2028
  • You've used AI tooling for both personal productivity and development projects
  • You have some first hand experience with SQL and/or Python
  • You're hands-on and learn by doing — happy to build, test, and iterate your way to an answer
  • You use analytical skills to make data-driven decisions (e.g. analyzing product usage)
  • You can make complex topics simple and communicate nuance to partners (engineers, customers, field) in both written and verbal form
  • You're excited to solve ambiguous problems with a collaborative team
  • You stay curious and keep learning, whether it's a new technology, a customer's domain, or a corner of the product you haven't touched

Skills

Required:SQLPythonCommunicationProblem solving

Benefits

  • Refer to regional benefits page for specifics (not listed in job description)
Last updated Oct 15, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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