AI-powered job marketplace connecting millions of seekers and employers
ZipRecruiter operates a large-scale job marketplace with a data-engineering-heavy stack (Kafka, Spark, Hadoop, Databricks, Delta Lake) and active ML infrastructure work — a setup built for real-time candidate matching and salary prediction at scale. The hiring mix tilts sales-forward (18 roles) relative to engineering (14), reflecting a maturing platform focused on enterprise acquisition and subscriber growth rather than core product reinvention.
ZipRecruiter is a public employment marketplace (NYSE: ZIP) founded in 2010, connecting job seekers with employers across businesses of all sizes. The platform is powered by AI-driven matching and candidate screening, with active projects spanning salary prediction, campaign optimization, and mobile-first search experiences. The company operates across the United States, Canada, the U.K., and Israel, with a workforce exceeding 1,000 employees. Pain points cluster around user acquisition, revenue retention, and scaling the two-sided marketplace while maintaining data quality for training ML models.
ZipRecruiter's stack includes React, Angular, Kubernetes, and Apache ecosystem tools (Spark, Kafka, Hadoop, Hive, Beam, Flink). Data-heavy infrastructure includes Delta Lake, Databricks, Cassandra, HBase, and MongoDB. Analysis uses Python, R, NumPy, and pandas.
Active projects include ML infrastructure design, salary prediction systems, campaign optimization, mobile-first web applications, search relevance improvements, and data-driven prospecting strategies to scale the two-sided marketplace.
Other companies in the same industry, closest in size