Zillow operates a large real estate marketplace spanning listings, mortgages, and agent tools across web and mobile. The tech stack reveals heavy data infrastructure (Spark, Airflow, Kafka, Databricks, Snowflake, Trino) paired with LLM frameworks (LangChain, LangGraph), indicating active investment in AI-assisted features like their Zillow Copilot product. Sales hiring (112 open roles) vastly outpaces engineering (45), reflecting a go-to-market focus on agent partnerships and channel expansion rather than platform rewrites.
Notable leadership hires: Agent Sales Director
Zillow is a public real estate platform founded in 2006, headquartered in Seattle. The company operates three primary lines of business: a consumer-facing marketplace for homes for sale and rent, a mortgage origination and servicing segment, and agent/brokerage tools. With 5,001–10,000 employees across distributed hubs in the US, Mexico, India, and Mauritius, Zillow serves individual homebuyers, renters, real estate agents, and lenders. Current product efforts center on AI-driven home ranking systems, workflow automation for agents, and pipeline management tools to improve conversion and operational efficiency across mortgage and agent channels.
SQL, Java, Python, C++, Apache Spark, Airflow, Flink, Kafka, Hive, Databricks, Snowflake, Trino, Kubernetes, Terraform, LangChain, LangGraph, Tableau, Domo, AWS, Salesforce, Workday.
Seattle, Washington. The company also hires in Mexico, Mauritius, and India; operates a distributed-first working model.
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