AI Product Manager Intern — Data-Driven & Agile

IBM; San Jose (CA); On-site; USD 39,000 - 55,000; Full time

Job summary

IBM Software invites motivated Product Manager Interns to help build AI-enabled, data-driven software across 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 throughout the product lifecycle.

This internship offers hands-on exposure to analytics, prioritization, and stakeholder collaboration, with Agile practices and responsible AI considerations.

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

Responsibilities

• Support product strategy, roadmap planning, and prioritization.
• Translate APIs, ML models, and data flows into 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

Product management basics

User-centered thinking

AI/ML concepts

Data workflows

Agile practices

Data analysis & visualization

Communication & organization

Ethics in AI

Product analytics tools

Education

Bachelor's Degree

Job description

IBM Software invites motivated Product Manager Interns to help build AI-enabled, data-driven software across 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 throughout the product lifecycle.

This internship offers hands-on exposure to analytics, prioritization, and stakeholder collaboration, with Agile practices and responsible AI considerations.