Hotel marketing and revenue optimization platform with data intelligence
Tambourine operates a GCP-heavy data and marketing stack (BigQuery, Dataflow, Vertex AI, GA4 pipelines) focused on hotel revenue and booking optimization. The company is actively building demand forecasting, recommendation engines, and guest review analysis systems—indicating a shift toward AI-driven revenue management beyond traditional digital marketing. Sales-led hiring (4 open roles) alongside data and engineering suggests a business scaling outbound motion while investing in proprietary analytics.
Tambourine is a digital marketing firm serving hotels, resorts, and tourism destinations. Since 1994, the company has built marketing and booking solutions for both branded chains and independent properties. The core product includes website design, direct booking optimization, and campaign measurement. Operations span across 201–500 employees in Fort Lauderdale, with recent hiring in Colombia and Mexico, and the company is accelerating recruitment in sales, data, and engineering roles.
Tambourine operates on Google Cloud Platform (BigQuery, Cloud Functions, Cloud Run, Dataflow, Vertex AI), uses Apache Airflow and Cloud Composer for orchestration, Terraform for infrastructure, and Looker for analytics. Frontend stack includes JavaScript, HTML, CSS, and testing with Selenium, Cypress, and Playwright. They also integrate ChatGPT and Gemini.
Key projects include GA4 data ingestion and transformation pipelines, BigQuery data modeling, demand forecasting, booking engine development, recommendation engines, guest review analysis, MCP server development, and AI workflow automation for internal process efficiency.
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