AI-Driven Product Manager Intern (Hybrid, Canada)

IBM

Markham

Hybrid

CAD 66,000 - 102,000

Full time

3 days ago
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Job summary

IBM Canada Markham is seeking Product Manager Interns to help build AI-enabled and data-driven software products across our 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—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

PM basics
AI/ML concepts
Agile experience
Data analysis
Communication skills

Education

High School Diploma/GED
Bachelor's Degree

Job description

IBM Canada Markham is seeking Product Manager Interns to help build AI-enabled and data-driven software products across our 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.

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