Global ground and sea transport booking platform across 120 countries
Travelier operates a multi-brand transportation marketplace connecting travelers to local ground and ferry operators globally. The tech stack reveals a data-intensive operation: Python, Kafka, dbt, Snowflake, BigQuery, and Apache Airflow power analytics and real-time data pipelines, with active adoption of dbt Cloud and AI-first data warehouse design. The hiring mix skews heavily toward product and data roles — reflecting post-acquisition consolidation and the shift toward AI-powered search and experimentation rather than engineering headcount.
Travelier is a travel logistics platform that books ground transportation (buses, ride shares, shuttles) and ferry routes across 120+ countries through five regional brands. Founded in 2017 and headquartered in Tel Aviv, the company serves mid-market and enterprise travel platforms that lack reliable APIs and booking infrastructure for last-mile and inter-city mobility. The operational footprint spans Israel, Thailand, and Vietnam. Recent roadmap priorities include unifying technology stacks post-acquisition, optimizing search and discovery through A/B testing, and building machine learning infrastructure to power AI-driven booking recommendations and demand forecasting.
Core: Python, Node.js, React, Next.js, TypeScript, SQL on GCP. Data: BigQuery, Kafka, Apache Airflow, dbt, Snowflake, Redshift, Pandas, Looker, Tableau. Finance/ops: NetSuite, Expensify. Currently adopting dbt Cloud and Apache Airflow at scale.
Building Travelier Connect (unified tech platform), optimizing search and discovery via large-scale A/B testing, designing AI-first data warehouse, developing AI-powered analyst agents, and constructing MLOps infrastructure to operationalize ML and AI models across the platform.
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