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Databricks

Evergreen - Product Design Intern (2027 Start)

Databricks
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entry internship $34-$42 per hour San Francisco, California

First indexed 10 Oct 2026

Description

As a Product Design Intern at Databricks, you will join a team that works diligently to understand and solve our customers' most challenging problems.

You will learn how to be a successful product designer at a high-growth enterprise technology company that operates at the important intersection of data and AI.

You will have a dedicated mentor and will join our 2026 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.

The impact you will have:

  • Work with a cross-functional team to build features for the Databricks platform
  • Manage your project end-to-end, from discovery and ideation through final design prototype for engineering to implement from
  • Conduct research with customers to better understand their needs and improve your design

What we look for:

  • Pursuing a degree in design, human-computer interaction, or a related field with an expected graduation date of December 2027 or Spring 2028
  • Excellent interaction design skills with knowledge of user-centred design methodologies and usability
  • Proven ability to efficiently build interactive prototypes leveraging the latest in AI tooling
  • Analytical skills to make data-driven decisions and conduct basic usability testing and semi-structured interviews
  • Exceptional communication and storytelling skills, with the ability to make complex topics simple and clearly communicate nuance to partners
  • Excited to solve ambiguous problems with a collaborative team

Pay Range Transparency: Databricks is committed to fair and equitable compensation practices. The pay range for this role is $34-$42 per hour.

Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/databricks/jobs/8787352002