Operations & Logistics Internship Piemonte - Talent Pool
Pubblicato il 04-10-2026 - Amazon in Vercelli
Description
You are applying to our Talent Pool for Operations Internships starting from January 2027 onwards. By applying early, you agevolazioni from:
- Early consideration for available positions
- Priority access to preferred locations and start dates
- Greater scheduling flexibility during the interview process
- Advance placement ahead of peak hiring season
Our preliminary timeline: interviews start taking place in September, with role matching beginning around October. This timeline is subject to change depending on business needs.
This position could be based in any Amazon Operations centre across Piemonte, depending on availability and business needs. Please note that this role requires on-site presence. Relocation support will be provided. Applying to the talent pool is non-binding and does not guarantee a specific start date or offer.
Amazon Operations is the backbone of the Amazon customer experience. With over 50 fulfilment centres, hundreds of delivery stations, and tens of thousands of employees, the team works together to efficiently deliver items to customers.
In the fulfilment centres, millions of items are picked and packed annually, while delivery teams work to get orders to customers on time. Safety is the top priority, and the operations culture is defined by teamwork, diversity, and a shared work ethic that keeps the business running smoothly. The team takes pride in delivering the quality service Amazon is known for globally.
Note: You must have the right to work in the country of employment by the start date.
Key job responsibilities
As an Amazon operations intern, you'll have the opportunity to apply your analytical skills to impactful projects that enhance the functionality and service of Fulfillment Centers, Sortation Centers, and Delivery Stations. Key aspects of the role include:
- Completing high-priority projects to the highest standard, demonstrating your ability to deliver results
- Analyzing data to identify operational challenges and