Product Management Intern (Summer 2025)

Full Time
San Francisco, CA, USA
4 months ago

P-982

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 a ProductManagementIntern,you willjoin ateam that works diligently to understand and solve our customers' most challenging problems. You will learn how to be a successful PM at a high-growth enterprise technology company that operates at theimportantintersection of data and AI. We're hiring across all of our teams, including Machine Learning, Unity Catalog,Databricks SQL, ETL, Streaming, EDA, andContent Organization. You will have a dedicated mentor and will join our 2025 intern cohort where you'll connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company.

This is a 12 week paid summer internship program in San Francisco.

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:

  • Pursuing a degree in computer science or related engineering subject
  • You have some experience with SQL and/or Python
  • You use analytical skills to make data-driven decisions (e.g. analyze product usage)
  • You can make complex topics simple and clearly communicate nuance to partners (engineers, customers, field, etc.) in both written and verbal form
  • You are excited to solve ambiguous problems with a collaborative team

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

SF Bay Area Hourly Rate$48—$52 USD

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.

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.