Global marketplace connecting millions of hosts and guests across travel accommodations and experiences
Airbnb operates a two-sided marketplace at massive scale—5 million hosts, 2 billion cumulative guest arrivals—with engineering and data infrastructure built on TensorFlow, PyTorch, Kubernetes, Kafka, and cloud platforms (AWS, GCP, Azure). Active adoption of RAG and Istio alongside mobile frameworks (SwiftUI, Swift) suggests an AI-first platform evolution and infrastructure modernization. The company is hiring aggressively across engineering, support, and ops with a senior-heavy mix, indicating sustained growth in supply complexity and operational risk management.
Notable leadership hires: Sales Operations Lead, Market Lead, Communications Lead, Head of Home Supply, Tech Lead
Airbnb is a public marketplace platform founded in 2007 that enables hosts to offer accommodations, experiences, and services to guests worldwide. The company operates across nearly every country, with over 5 million active hosts and billions of guest arrivals. Supply-side challenges—host recruitment, pricing, inventory quality, localization, and regulatory compliance—drive significant operational and technical investment. The organization scales through geographically distributed engineering (16 countries represented in active hiring) and data-heavy operations, with particular focus on supply optimization, demand forecasting, and performance monitoring across regional markets.
Airbnb's primary stack includes TensorFlow and PyTorch for ML, Kubernetes for orchestration, Kafka for streaming, Python and Java for services, and AWS, GCP, and Azure for cloud infrastructure. Additional tools: Apache Airflow, Presto, Apache Spark, Elasticsearch, and GraphQL.
Airbnb actively hires across 20 countries including the United States, China, India, Brazil, Mexico, Canada, UK, France, Germany, Spain, Italy, Singapore, Australia, Japan, South Korea, Ireland, Luxembourg, UAE, Philippines, and Syria.
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