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Product Manager, New Grad (2027) - Belgrade

Databricks
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Hybrid (Belgrade), Hybrid (Amsterdam / Berlin)internshipPosted 1w ago

About the role

Associate Product Manager role at Databricks for 2027 cohort, with training, mentorship, and exposure across multiple product teams. Locations include Amsterdam, Belgrade, and Berlin.

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

  • You will graduate in Fall 2026 or Spring 2027 with a bachelors or masters degree in computer science or related engineering practice
  • Pursuing a bachelor's or master's in computer science or a related engineering field
  • 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:SQLPythonProblem solving and communication

Benefits

  • For specific details on the benefits offered in your region click here (link provided in 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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