Marketing Specialist
Pubblicato il 10-09-2026 - Arsenale Group in Latina
Who We Are:
Arsenale is a multi-brand Group capable of providing a comprehensive service to the largest and most renowned luxury global market operators who wish to expand in Italy. Founded and supported by internationally renowned entrepreneurs and investors, Arsenale aims at creating the leading luxury hospitality group in Italy. To pursue that ambition, the Group launched an impressive investments plan to boost tourism and made-in-Italy through the acquisition, re-development and enhancement of iconic hotels and hospitality solutions in the most beautiful locations of the country.
Among its strategic partnerships, Arsenale collaborates with Orient Express in the development and management of exceptional hospitality experiences, combining timeless heritage, refined service, and contemporary luxury standards. Through this collaboration, the Group contributes to the revival and expansion of the iconic Orient Express brand within Italy's luxury hospitality landscape.
What We Are Looking For:
We are looking for a Marketing Specialist to support the marketing and communications activities of one of the Group's brands and strengthen its positioning within the international luxury travel market. You will help develop and execute integrated marketing initiatives across digital channels, trade communications, public relations and brand positioning — supporting brand awareness, nurturing relationships with the international luxury travel trade and contributing to commercial growth.
Key Activities:
- Support the brand's presence across key B2B and inspiration channels, primarily LinkedIn and Instagram — contributing to content production, maintaining the publishing calendar and monitoring performance to keep it consistent with a curated, authoritative positioning.
- Support the management and optimisation of newsletters for the international luxury travel trade — advisors, tour operators and consortia — across editorial planning, content creation, audience segmentation