Product Manager, New Grad (2026) - Amsterdam

Posted Yesterday
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Amsterdam, NLD
In-Office
Entry level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Join Databricks as an Associate Product Manager in the 2026 new-grad cohort. Work with cross-functional teams to build platform features, manage projects end to end, analyze product usage, communicate complex topics, and solve ambiguous customer problems. Roles are available in Amsterdam and Berlin across areas including machine learning, SQL, ETL, streaming, and data organization.
Summary Generated by Built In

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:

  • 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 2025 and Summer 2026 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.

Skills Required

  • Graduate between Fall 2025 and Summer 2026
  • Bachelor’s or master’s degree in computer science or a related engineering field
  • Experience with SQL and/or Python
  • Analytical skills for making data-driven decisions and analyzing product usage
  • Ability to clearly communicate complex topics and nuance in written and verbal forms
  • Ability to solve ambiguous problems collaboratively with a team

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
  • Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
  • Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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