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Intern – AI Product Management & Merchandising

  • Full Time
  • Toronto

Kensington

Kensington delivers the world’s most personal travel experiences. We bring to life each client’s desire to travel in a way that’s tailored specifically for them, in the company of local private guides who ensure that they enjoy the authentic best of their destination. The result is a unique journey rich in memories that last a lifetime!

We achieve this because of our extraordinary people, passionate experts with deep knowledge of their destinations. They are what enables us to deliver remarkable experiences in over 120 countries worldwide, and across each of our businesses – Private Touring, Cruises, Villas, Yachts, Expeditions, Ultraluxe Land, Private Jets, and Air. 

To learn more about Kensington, visit kensingtontours.com

About the Role

We are seeking a detail-oriented and analytical intern to support our Product Management and Merchandising teams. This role will focus on the Global Catalogue/Product Information Management (PIM) initiative and broader product operations projects. The successful candidate will work with large datasets, leverage AI tools to improve efficiency, and contribute to the organization and optimization of product information at scale.

Key Responsibilities

  • Support the Global Catalogue/PIM initiative by structuring, mapping, and maintaining large volumes of product data.
  • Use AI tools to assist with auto-tagging, categorization, and attribution of product records against established taxonomy standards.
  • Conduct competitor research and audits, collecting, organizing, and analyzing data to identify trends and opportunities.
  • Assist with product merchandising activities, including data validation, quality assurance, and content organization.
  • Support recurring merchandising tasks and ad hoc product operations projects as required.
  • Identify opportunities to improve processes through automation and AI-enabled workflows.

Qualifications

  • Currently enrolled in or recently graduated from a relevant program such as Business, Commerce, Marketing, Data Analytics, Information Systems, Tourism, or a related field.
  • Strong analytical and problem-solving skills.
  • Highly organized with strong attention to detail.
  • Comfortable working with large datasets and spreadsheets.
  • Interest in product management, merchandising, e-commerce, or data operations.
  • Familiarity with AI tools (e.g., ChatGPT, Claude, Gemini, or similar) and enthusiasm for applying them to business processes.
  • Proficiency with Microsoft Excel and/or Google Sheets.
  • Ability to manage multiple tasks and work independently in a fast-paced environment.

Preferred Qualifications

  • Experience with data management, taxonomy, content management systems, or product information systems.
  • Exposure to data analysis, research, or process improvement projects.
  • Interest in travel, e-commerce, or digital marketplaces.

What You’ll Gain

  • Hands-on experience with large-scale product catalogue and PIM initiatives.
  • Practical experience using AI tools in a business environment.
  • Exposure to product management, merchandising, and data operations.
  • Opportunity to work on impactful projects and contribute to process improvements across the business.

We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If you require accommodation due to a disability at any stage of our hiring process, please advise us when completing your application.

The Range Group may use artificial intelligence throughout the recruitment process to screen, assess or select applicants for this position. These tools assist our hiring team but do not replace human judgment. Final hiring decisions are ultimately made by the hiring team.

We thank all candidates for their interest, however, only those selected for an interview will be contacted.

To apply for this job please visit job-boards.greenhouse.io.

Working in Toronto

Toronto is the most populous city in Canada and the capital city of the Canadian province of Ontario. It is located on a harbour at the northwestern shore of Lake Ontario. The city is the fourth-most populous city in North America, behind Mexico City, New York City, and Los Angeles, with a census population of 2,794,356 as of 2021. The Greater Toronto Area (GTA) is constituted of Toronto proper and four surrounding regions, Peel, York, Durham, and Halton, and has a population of 6,712,341, while the Toronto census metropolitan area (CMA), with a somewhat different definition, has a population

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