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
- Strong 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 in Toronto employer: Maple Leaf Sports & Entertainment Partnership
Maple Leaf Sports & Entertainment Partnership is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for those passionate about marketing in the sports and entertainment industry. With a focus on employee growth and development, you will have access to unique opportunities to enhance your skills while working alongside talented professionals in a vibrant location. Enjoy the benefits of flexible freelance arrangements, competitive compensation, and the chance to make a meaningful impact through innovative lifecycle marketing campaigns.
Contact Details:
Maple Leaf Sports & Entertainment Partnership Recruitment Team
