Summer Product Manager Intern, AI & Data Platform

Databricks; San Francisco (CA); On-site; USD 74,000 - 77,000; Full time

Benefits offered by this job

Paid internship

Mentorship

Job summary

Databricks is seeking a Product Management Intern to join teams across AI Platform, Genie, ML, Unity Catalog, SQL, ETL, Streaming, and EDA for a 12-week summer program. You’ll be paired with a dedicated manager and mentors and collaborate with product managers, engineers, designers, and account teams in a high-growth enterprise setting.

Based in San Francisco, Mountain View, or Bellevue, you’ll learn how to define customer problems, prototype ideas, and ship features end-to-end while maintaining

Qualifications

• Pursuing a bachelor’s or master’s in computer science or a related engineering field graduating Fall 2027 or Spring 2028.
• Experience with AI tooling for personal productivity or development projects.
• Some hands-on experience with SQL and/or Python.
• Able to learn by doing and iterate toward an answer.
• Able to analyze data and make data-driven decisions.

Responsibilities

• Understand customer problems and establish rails for viable solution space.
• Prototype and test early ideas with customers and engineers to validate direction.
• 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 from day one.

Skills

AI tooling

SQL

Python

Analytical skills

Communication

Education

Bachelor’s or Master’s in CS or related engineering

Job description

Databricks is seeking a Product Management Intern to join teams across AI Platform, Genie, ML, Unity Catalog, SQL, ETL, Streaming, and EDA for a 12-week summer program. You’ll be paired with a dedicated manager and mentors and collaborate with product managers, engineers, designers, and account teams in a high-growth enterprise setting.

Based in San Francisco, Mountain View, or Bellevue, you’ll learn how to define customer problems, prototype ideas, and ship features end-to-end while maintaining