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The Sales Manager will identify and acquire new business opportunities, build relationships, and demonstrate Cloudbeds' SaaS solutions to transform hospitality operations.

The Sales Manager will identify new business opportunities, build relationships with prospects, and showcase Cloudbeds' SaaS solutions to drive sales in the hospitality industry.

The Sales Manager will expand Cloudbeds' market presence by acquiring new clients through proactive outreach, product demonstrations, and relationship building. This role involves assessing market trends, engaging prospects, and collaborating with partnerships teams while representing the brand confidently.

The Sales Manager will identify and acquire new business opportunities, build relationships, and showcase Cloudbeds' SaaS solutions to transform the hospitality industry. Responsibilities include cold-calling, preparing lead lists, delivering product demonstrations, and representing the brand in the local market with minimal travel.

As a Sales Manager, you will identify and acquire new business opportunities, build relationships, and demonstrate Cloudbeds' SaaS solutions to clients in the hospitality industry.

Lead data migrations and clean, map, and validate client CSV/Excel files into Cloudbeds. Troubleshoot formatting issues, run post-migration audits, coach clients on building and automating reports, and advise on KPIs to ensure accurate financial and operational insights.

Lead high-touch post-launch support for hotels as they go live on Cloudbeds. Manage urgent ticket queues and hotlines, troubleshoot integrations and live data flows, use AI and automation for efficiency, conduct proactive follow-ups, document account health in CRM, and transition clients to long-term account teams while sharing product feedback cross-functionally.

As a Sales Manager at Cloudbeds, you'll expand business presence by acquiring new clients, identifying market trends, and showcasing SaaS solutions in hospitality.

The Sales Manager is responsible for acquiring new business opportunities, building relationships with prospects, and showcasing SaaS solutions in the hospitality sector through outreach and product demonstrations.

Design, deploy, and maintain production-grade ML systems for hotel revenue management. Build data pipelines, implement and validate models, establish MLOps practices (CI/CD, orchestration, monitoring), define SLIs/SLOs, and collaborate with product and engineering to drive scalable, reliable ML-driven pricing features.