About the role#
As a Product Management Intern, you will join a team focused on solving complex data and AI challenges. You will learn how to manage products at a high-growth enterprise technology company. Throughout this 12-week program, you will work alongside engineers, designers, and company leaders. You will be paired with a manager and mentors to guide your work across areas like AI Platform, Machine Learning, and Databricks SQL.
What you'll do#
- Deeply understand customer problem spaces to establish viable solutions.
- 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, including design, build, launch, and iteration based on feedback.
- Build with scale, quality, and security in mind from day one.
What you'll need#
- Current pursuit of a bachelor's or master's degree in Computer Science, Computer Engineering, Data Science, or Electrical Engineering, with a graduation date in Fall 2027 or Spring 2028.
- Experience using AI tooling for personal productivity and development projects.
- Practical experience with SQL and/or Python.
- Ability to make data-driven decisions by analyzing product usage.
- Strong written and verbal communication skills to explain complex topics to engineers, customers, and field teams.
Location & details#
- Term: Summer 2027.
- Modality: On-site.
- Locations: San Francisco, CA; Mountain View, CA; or Bellevue, WA.
- Compensation: This is a paid internship. Hourly rates range from $54 to $56 in the SF Bay Area and $51.50 to $53.50 in Bellevue, Washington.
About Databricks
Databricks provides a unified Data Intelligence Platform for building and scaling data and AI applications. The company serves over 20,000 organizations, including major brands and a significant portion of the Fortune 500. Based in San Francisco, it maintains more than 30 offices across the globe. The organization employs over 16,000 people and operates as a private entity.
How to get in at Databricks
Applying early to Databricks gives you a distinct advantage, as high-volume roles often fill up before the applicant pool grows too large. Intern Insider sends an instant alert the moment a role matching your target is published, helping you get your materials in front of the team before the pile grows. Being among the first to apply is a practical way to ensure your profile is reviewed. You can use Intern Insider to identify the recruiters behind these roles and reach out directly to ask about the position or a referral. Connecting with a human recruiter often improves your response rates compared to submitting an application into a general queue. This approach shows you are proactive about your interest in the company.
