Product Manager Intern 2027

About the role

We’re looking for Product Manager Interns to help build AI-enabled and data-driven software products across our teams. As an intern, you will work closely with engineering, design, and data science partners to support product strategy, define user needs, and deliver features that provide real value. This role offers hands-on exposure to the product lifecycle while developing skills in research, experimentation, prioritization, and stakeholder collaboration.

Responsibilities

• Support product strategy, roadmap planning, and prioritization.
• Translate technical concepts—such as APIs, ML models, and data flows—into clear user stories.
• Collaborate with cross-functional teams to build and refine features.
• Use analytics and user feedback to assess product performance.
• Apply responsible and ethical AI practices.
• Participate in Agile ceremonies, research activities, and design reviews.
• Communicate updates and findings to stakeholders.

Schedule

Internship start dates vary based on your academic calendar:

• Semester System: May 24, 2027 – August 13, 2027
• Quarter System: June 14, 2027 – September 3, 2027

Candidates must be available to participate for the full duration of the internship corresponding to their academic schedule.

Location

By applying to this requisition, you acknowledge and agree to be considered for any of the listed locations associated with this position and are willing to work at the location where you are ultimately assigned.

Requirements

• Understanding of product management principles and user-centered thinking.
• Familiarity with AI/ML concepts or data workflows through coursework or projects.
• Experience with Agile practices and collaborative work environments.
• Ability to analyze data and communicate insights clearly.
• Strong communication, organization, and problem-solving skills.

Preferred Qualifications

• Exposure to product analytics or data visualization tools.
• Coursework or projects related to AI, data, or software engineering.
• Familiarity with responsible AI or ethics frameworks.

Preferred Education: Bachelor's Degree