Product Manager, New Grad (2027) - Amsterdam
Databricks is hiring a Product Manager, New Grad (2027) - Amsterdam (Netherlands). Level rates it ; you can apply on Level.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Level files it as a junior role.
- Level lists 895 other open roles at Databricks.
AI in this role
P-1453
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 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 Machine Learning, Unity Catalog, Databricks SQL, ETL, Streaming, EDA, and Content Organization. You will have a dedicated mentor and will join our 2027 APM cohortwhere you'll connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company.
We are hiring for Amsterdam, Berlin and Belgrade
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:
- You will graduate between Fall 2026 and Summer 2027 with a bachelors or masters degree in computer science or related engineering practice
- You have some experience with SQL and/or Python
- You can leverage analytical skills to make data-driven decisions (e.g. analyze product usage)
- You are able to make complex topics simple and clearly communicate nuance to stakeholders (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 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.
How we rate this
Product Manager, New Grad (2027) - Amsterdam at Databricks rates 18 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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