Hybrid Product Manager Intern — AI & Data-Driven Software

IBM; Boston (MA); Hybrid; USD 74,000 - 164,000; Full time

Benefits offered by this job

8 paid holidays

56 hours paid sick time

IBM Employee Stock Purchase Plan

Job summary

IBM Software in Lowell, MA is seeking Product Manager Interns to help build AI enabled and data-driven software products across 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.

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

Product management basics

AI/ML concepts exposure

Agile practices

Data analysis and storytelling

Communication & collaboration

Education

High School Diploma/GED

Bachelor's Degree

Tools

APIs & data flows understanding

Data visualization basics

Job description

IBM Software in Lowell, MA is seeking Product Manager Interns to help build AI enabled and data-driven software products across 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.