AI-Powered Product Manager Intern

IBM; Austin (TX); On-site; USD 34,000 - 48,000; Part time

Job summary

IBM Software in Austin, TX is seeking Product Manager Interns to help build AI-enabled, data-driven software products across our teams. You will work with engineering, design, and data science partners to support product strategy, define user needs, and deliver features that provide real value.

This internship offers hands-on exposure to the product lifecycle, opportunities to learn about analytics, prioritization, and stakeholder collaboration, and the chance to apply responsible AI practices

Qualifications

• 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

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.

Skills

Understanding of product management

AI/ML concepts

Agile practices

Data analysis

Communication

Education

Bachelor's Degree

Job description

IBM Software in Austin, TX is seeking Product Manager Interns to help build AI-enabled, data-driven software products across our teams. You will work with engineering, design, and data science partners to support product strategy, define user needs, and deliver features that provide real value.

This internship offers hands-on exposure to the product lifecycle, opportunities to learn about analytics, prioritization, and stakeholder collaboration, and the chance to apply responsible AI practices