Revenue Manager ITA&Global/DACH
Pubblicato il 18-09-2026 - Hosco in Italia
Hosco
Faccia clic su "Candidati" qui sotto per inviare la sua candidatura. Si assicuri che il suo CV sia aggiornato e di aver prima letto le specifiche del lavoro.
About the role
What Will You Do? ¾
As a Revenue Manager at Smartness, your mission is to help our clients maximize their revenue potential by leveraging our cutting-edge SaaS RMS platform. You'll act not only as a technical expert but as a strategic consultant, guiding hotels and hospitality businesses to adopt best practices and achieve measurable growth.
Your main responsibilities will be:
- Customer Consulting & Support: Engage daily with clients, understand their needs, and provide tailored advice to optimize revenue through Smartness.
- Revenue Optimization: Analyze performance data and market trends, recommending pricing and distribution strategies that maximize returns.
- Platform Adoption: Platform Adoption: Support clients by providing strategic guidance, training, and best practices, while collaborating closely, especially for the Ultra segment,
with the dedicated onboarding team to ensure effective platform adoption.
- Monitoring & Reporting: Manage KPIs and analytical reports, identify improvement areas, and propose innovative solutions to enhance revenue strategies.
What Are We Looking For? €
We're looking for a professional who blends technical expertise, analytical skills, and strong interpersonal abilities to support our clients and drive platform success.
- Language Proficiency: Italian and English professional fluency. German is a big plus
- Communication Skills: Ability to clearly explain platform potential and translate complex data into actionable solutions.
- Experience in Hotel Revenue Management: Proven track record in hospitality, with deep knowledge of pricing dynamics and distribution channels.
- Customer Success Orientation: Natural ability to consult strategically and support SaaS adoption for improved financial outcomes.
- Analytical Skills: Strong data analysis capabi