Product Manager Intern 2027
IBM
Austin, TXFresher1h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Product managementStakeholder managementREST APIsMachine learningAgile
- Nice to have
- Data visualization
- Work
- On-site in Austin · internship
- Pay
- Not stated by the employer.
- Skill demand
- Product management88%Stakeholder management57%REST APIs17%Machine learning10%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 7, 2026 · still open
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About the Role
IBM Software is seeking Product Manager Interns to contribute to the development of AI-enabled and data-driven software products. This internship provides hands-on experience across the product lifecycle, focusing on research, experimentation, prioritization, and stakeholder collaboration.
Key Responsibilities
- Support product strategy, roadmap planning, and prioritization.
- Translate technical concepts (e.g., APIs, ML models, data flows) into clear user stories.
- Collaborate with cross-functional teams to build and refine features.
- Utilize 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.
Program Dates
Internship start dates vary based on academic calendar:
- Semester System: May 24, 2027 – August 13, 2027
- Quarter System: June 14, 2027 – September 3, 2027
Candidates must be available for the full duration corresponding to their academic schedule.
Requirements & Tech Stack
- 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.