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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 2026 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 and Berlin:
The impact you will have:
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Work with a team to build features for the Databricks platform
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Manage your project end-to-end, including design, code, and feedback
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Learn about building a platform that scales quickly while maintaining quality and security
What we look for:
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You will graduate between Fall 2025 and Summer 2026 with a bachelors or masters degree in computer science or related engineering practice
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You have some experience with SQL and/or Python
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You can leverage analytical skills to make data-driven decisions (e.g. analyze product usage)
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You are able to make complex topics simple and clearly communicate nuance to stakeholders (engineers, customers, field, etc.) in both written and verbal form
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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, LinkedIn 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 https://www.mybenefitsnow.com/databricks.
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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About Databricks

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
Employees
San Francisco
Headquarters
$43B
Valuation
Reviews
3.8
10 reviews
Work-life balance
2.8
Compensation
4.0
Culture
4.2
Career
3.5
Management
4.0
72%
Recommend to a friend
Pros
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good benefits and competitive compensation
Cons
Poor work-life balance and long hours
High pressure and stressful environment
Heavy workload and overtime requirements
Salary Ranges
34 data points
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Product Manager L3
0 reports
$237,075
total per year
Base
-
Stock
-
Bonus
-
$201,514
$272,636
Interview experience
6 interviews
Difficulty
3.2
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 83%
Negative 17%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Onsite/Virtual Interviews
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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