AI product management and data analysis define this four-month MLSE internship. Support business and engineering teams across digital products.

As a university-enrolled intern, you will contribute to product development, corporate strategy, AI-enabled development, and business insights. The work connects business problems with technology through requirements, testing, analysis, and strategic initiatives.

Key Responsibilities:

- Coordinate timelines, priorities, and deliverables across project stakeholders
- Define product requirements, user stories, and acceptance criteria
- Support backlog management, sprint planning, and product documentation
- Analyze data, dashboards, and exploratory findings for decisions




- Test digital products and troubleshoot issues with engineering teams

Requirements:

- Current enrollment in an undergraduate or graduate university program
- Interest in AI, product management, technology, and data analytics
- Basic programming or AI-assisted coding experience using Python or SQL
- Robust analytical, problem-solving, and communication skills
- Ability to manage priorities and take ownership of tasks

Build experience across AI products, product management, data analysis, and technology initiatives at MLSE.

📌 AI Product Management Intern (Toronto)
🏢 Maple Leaf Sports & Entertainment Partnership
📍 Toronto