Product Manager, New Grad

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.

About the Role

As an Associate Product Manager, you will join a team that works diligently to understand and solve our customers' most challenging problems. We're hiring across all of our teams, including AI Platform, Genie, Machine Learning, Unity Catalog, Databricks SQL, ETL, Streaming, and EDA. As part of our 2027 APM cohort, you will have a dedicated manager and mentor as well as connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company.

We are hiring for Amsterdam, Belgrade and Berlin.

The impact you will have

• 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, including design, build, launch, and iterate on feedback
• Build with scale, quality, and security in mind from day one

What we look for

• You will graduate in Fall 2026 or Spring 2027 with a bachelor's or master's 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