Dynamic pricing engine for independent hotels and short-term rentals
RoomPriceGenie builds a pricing optimization platform for independent hoteliers, with a data stack shaped around real-time optimization: Python, Dagster, dbt, Snowflake, and Databricks power scraping, pipeline, and forecasting layers. The company is actively adopting Snowflake and Iceberg while phasing out Django—a shift consistent with moving backend logic into data pipelines. Pain points center on data integration complexity across fragmented property-management systems and legacy pipeline migration, reflecting the core challenge of normalizing heterogeneous hotel operator workflows.
Notable leadership hires: QA Lead, Head of Account Management
RoomPriceGenie provides dynamic pricing automation for independent hotels, boutique properties, and apartment hotels. The platform lets operators choose between hands-off algorithmic pricing or manual rate control, with real-time competitive benchmarking to prevent revenue loss. Founded in 2017 and based in Steinhausen, Switzerland, the company operates across 17+ countries with a team of 51–200 employees. Active projects span data acquisition, pipeline scalability, user activation, customer journey optimization, and regional expansion (notably Germany). The business model addresses digitalization friction for small to mid-sized hospitality operators managing multiple property-management system integrations.
Python, Dagster, dbt, Snowflake, Databricks, AWS (Aurora, Lambda, Glue, Athena), PostgreSQL, pandas, Polars, NumPy, Django, FastAPI, BigQuery, and Apache Iceberg for testing/CI via BrowserStack, Sauce Labs, Selenium, and Playwright.
Across 17 countries: Austria, Germany, United States, Poland, Croatia, Hungary, Belgium, Romania, Portugal, Czechia, Netherlands, Ireland, Vietnam, France, United Kingdom, New Zealand, and Australia.
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