Support AI-powered products at MLSE through product management, prototyping, and data analysis. Collaborate with AI engineers and business stakeholders during a four-month internship.

This internship suits a university student interested in technology, product development, and business strategy. You will contribute throughout the AI product lifecycle, including discovery, prototyping, development, quality assurance, data analysis, and stakeholder engagement. The work includes digital products, internal tools, and data-driven solutions.

Key Responsibilities:

- Gather stakeholder feedback to support product discovery
- Assist with backlog management, documentation, and sprint planning
- Implement experiments and enhancements using AI-assisted development tools
- Evaluate models, AI outputs,



data, and product functionality
- Prepare dashboards, reports, presentations, and progress updates

Requirements:

- Enrollment in a relevant undergraduate or graduate university program
- Comfort building or prototyping technology-based solutions
- Python, SQL, or similar basic programming experience
- Familiarity with AI tools, data analysis, or visualization
- Excellent communication and teamwork abilities

Bring product thinking, AI-assisted development, and analytical skills to digital products supported by MLSE Strategy and AI teams.

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