Databricks PM Intern Summer 2027 | SF · MV · Bellevue

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Databricks PM Intern Summer 2027 | SF · MV · Bellevue
CompanyDatabricks — data & AI platform (10,000+ orgs; 50%+ of Fortune 500)
RoleProduct Management Intern (Summer 2027) · P-982
LocationsSan Francisco, CA · Mountain View, CA · Bellevue, WA
Duration12-week paid summer internship (2027 cohort)
PaySF Bay Area $54–$56/hr · Bellevue $51.50–$53.50/hr
EligibilityBachelor’s or master’s in CS or related engineering; graduating Fall 2027 or Spring 2028
TeamsHiring across AI Platform, Genie, ML, Unity Catalog, Databricks SQL, ETL, Streaming, EDA

Overview

Databricks builds the world’s data and AI infrastructure platform so teams can turn deep data insights into business impact. As a Product Management Intern you’ll learn how to be a successful PM at a high-growth enterprise company at the intersection of data and AI — with a dedicated manager plus mentors, and exposure to PMs, engineers, designers, account teams, peers, and leaders.

You’ll deeply understand customer problems, prototype and test early ideas with customers and engineers, ship features with eng/design, own a project end-to-end (design → build → launch → iterate), and build with scale, quality, and security from day one.

Key Requirements

  • Eligibility: Pursuing a bachelor’s or master’s in computer science or a related engineering field; graduating Fall 2027 or Spring 2028.
  • Availability: 12-week paid summer 2027 internship in SF, Mountain View, or Bellevue.
  • Skills: Experience using AI tooling for productivity and development; some first-hand SQL and/or Python; analytical / data-driven decision-making; clear written and verbal communication of complex topics.
  • Mindset: Hands-on learner who builds, tests, and iterates; comfortable with ambiguous problems on collaborative teams; stays curious across tech, customer domains, and product surfaces.
  • Why it stands out: PM internship on a leading data/AI platform; multi-team placement options; strong pay; structured mentorship in the 2027 intern cohort.

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