Product Management Intern (Summer 2027)

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leads
160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
About Databricks

Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will deeply understand the customer problem space, prototype and test early ideas with customers and engineers, and work with engineers and designers to ship features on the Databricks platform. You will own your project end-to-end, from design and build to launch and iteration, keeping scale, quality and security in mind. This is a 12 week paid summer internship across teams like AI Platform, Genie, Machine Learning, Unity Catalog, Databricks SQL, ETL, Streaming, and EDA.

Requirements

  • Pursuing a bachelor's or master's in computer science or a related engineering field graduating in Fall 2027 or Spring 2028
  • Used AI tooling for personal productivity and development projects
  • First hand experience with SQL and/or Python
  • Hands-on, learns by doing
  • Analytical skills to make data-driven decisions
  • Ability to communicate complex topics simply in written and verbal form
  • Excited to solve ambiguous problems with a collaborative team
  • Curious and keeps learning

Responsibilities

  • Deeply understand customer problem space and establish the rails for viable solution space
  • Prototype and test early ideas with customers and engineers
  • Work with engineers and designers to ship features on the Databricks platform
  • Own your project end-to-end — design, build, launch, and iterate on feedback
  • Build with scale, quality, and security in mind

Benefits

  • Dedicated manager and mentors
  • Paid internship
  • Eligibility for equity and benefits