Commercial Back Office
Pubblicato il 16-09-2026 - Kubota Holdings Europe in Varese
Since 1890, Kubota has evolved in a unique way worldwide. With a strong will to solve problems in food, water and the environment, we have leveraged our strength as a manufacturer and a solutions provider. Spanning across 120+ countries and employing more than 50,000 people in Asia, Europe and North America, Kubota generates revenue in excess of $20 billion. From agricultural and industrial machinery, and overall water solutions, to any other living environment solution, our question, and our challenge was always the same: what can we do to meet the demands and enhance our lives for tomorrow?
Explore this exciting career opportunity and join us on the journey as we seek to be an “Essentials Innovator for Supporting Life”.
My job, Our future
In this context, Kubota Italy is looking for a Commercial Back Office Specialist to strengthen its Sales Support team.
The selected candidate will be a key operational reference point for the commercial network, providing support to sales inspectors, dealers, and management in daily administrative and commercial activities.
Main Responsibilities
Support to Sales Inspectors
Manage requests related to delivery times
Check availability of machines, engines, and accessories
Handle order modifications
Send documents and monitor order progress
Support to Dealers
Manage requests regarding product availability and delivery times
Provide support on prices and price lists
Manage order exchanges between dealers
Modify delivery addresses
Send CE certificates and compliance documents
Handle transport damage reports
Administrative Management
Enter and manage orders
Verify prices and discounts
Update and monitor Excel files
Manage machine orders for technical training
Monthly verification of Zrebates and recognition of service fees
Inventory management
Update price lists
Archive KTS documents and warranty extensions
Verify and validate invoices via ESKER
Update the DRIVE and Italy sales figures
Support to Management
Data analysis and extraction