Product Manager Fall Co-op
Listed on 2026-02-16
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IT/Tech
Data Analyst, Data Science Manager -
Business
Data Analyst
Overview
A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions. Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.
YourRole And Responsibilities
We’re looking for Product Manager Interns to help build AI‑enabled and data‑driven software products across our teams in Austin, Durham, and Lowell. 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.
WhatYou’ll Do
- 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.
Preferred Education
Bachelor's Degree
- To be eligible, candidates must be currently enrolled in a Bachelor’s, Master’s, MBA, or PhD program, with an expected graduation date between December 2026 and May 2029.
- 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.
- 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.
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