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HomeCompaniesKensingtonIntern - AI Product Management & Merchandising

Intern - AI Product Management & Merchandising

Kensington · Toronto · Active · Greenhouse

Job facts

FieldValue
CompanyKensington
TitleIntern - AI Product Management & Merchandising
Normalized title-
Department / teamInternship - Kensington
LocationToronto, ON, Canada
Work model-
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-06-18 / 2026-06-19
Changed / last seen2026-06-20 / 2026-06-21

Related slices

PageWhat it containsOpen
Company jobsActive postings from Kensington.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Toronto.Open
Department jobsActive postings in Internship - Kensington.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyKensington
Source5f476473-a79f-45d4-a6be-8302d8aefe76
ATS providerGreenhouse

Description

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.

Full job record

Job ID88bf6d95ef43d2b81d8e6a277895dfc7fb941005
Org ID68375929-2db3-471b-8ad2-ebc893da4fe7
Source ID5f476473-a79f-45d4-a6be-8302d8aefe76
Board ID5f476473-a79f-45d4-a6be-8302d8aefe76
Providergreenhouse
Provider Job Key5168546007
TitleIntern - AI Product Management & Merchandising
Normalized Title
Statusactive
Activeyes
Location TextToronto
DepartmentInternship - Kensington
Team
Employment Type
Workplace Type
Remote Policy
CountryCanada
RegionON
CityToronto
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/kensingtontours/jobs/5168546007
Apply URLhttps://job-boards.greenhouse.io/kensingtontours/jobs/5168546007
First Seen At2026-06-19 07:34:40Z
Last Seen At2026-06-21 07:33:56Z
Last Checked At2026-06-21 07:33:56Z
Last Changed At2026-06-20 07:34:47Z
Inactive At
Source Posted At2026-06-18 15:42:41Z
Source Updated At2026-06-19 13:16:25Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=kensingtontours/date=2026-06-21/2026-06-21T07-33-56-153Z-2a5332f59c8a4b1586f81fa7138a9716156a67c9fe0bb172226ceebc677ac073.json
Event Fields
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  "last_changed_at": "2026-06-20T07:34:47.210Z",
  "active_status": "active"
}
Parsed Structured
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}
Extensions
{}
Native Structured
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  "company_name": "Kensington",
  "requisition_id": 4647391007,
  "first_published": "2026-06-18T11:42:41-04:00",
  "application_deadline": null
}
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