Mobile ticketing platform for museums, attractions, and cultural venues
Tiqets operates a global ticketing platform connecting travelers to museums and attractions via mobile-first booking. The data stack—Airflow, dbt, Meltano, Databricks, Snowflake, BigQuery—indicates heavy investment in analytics and real-time data pipelines, while active projects around ranking algorithms, personalization engines, and LLM applications signal a shift toward AI-driven discovery. Engineering-focused hiring and acknowledged pain points in scaling APIs and system reliability suggest infrastructure maturation is a near-term priority.
Tiqets is a ticketing platform founded in 2013 that helps travelers discover and book instant, last-minute access to cultural venues worldwide—museums, attractions, theaters, and tours. The company reduces friction in the booking and entry process by offering mobile tickets and same-day purchasing. Operating across 201–500 employees in Amsterdam with hiring across the Netherlands, Spain, and Peru, Tiqets serves both individual travelers and venue partners through an API-first model. Current operational focus spans platform reliability, incident management, partner acquisition, and content standardization.
Tiqets runs Apache Airflow, dbt, Meltano, and MLflow for data pipelines; Databricks, Snowflake, BigQuery, and Redshift for analytics warehousing; PostgreSQL for transactional data; and Python, Flask, and Django for application logic, with Kubernetes and Terraform for infrastructure.
Active projects include ranking algorithms, personalization engines, LLM-powered applications, platform strategy and roadmap, incident management practices, monitoring and visibility pipelines, partner acquisition, and API scaling.
Other companies in the same industry, closest in size