Rokt operates a transaction-moment marketing platform powered by Kafka, Spark, Airflow, and TensorFlow, built to deliver real-time personalization across billions of ecommerce transactions. The tech stack and project roadmap reveal heavy investment in ML productionization, personalization at scale, and operational automation—paired with a sales-led hiring velocity (6 open sales roles vs. 3 engineering) that suggests aggressive revenue expansion alongside platform infrastructure work. Pain points around manual reconciliation and monthly close scaling indicate they're simultaneously scaling operational rigor as they grow customer footprint.
Notable leadership hires: Creative Director
Rokt is a transaction-moment marketing platform built for ecommerce companies seeking to inject relevance and offers at the point of purchase. The company operates a two-sided network connecting hundreds of millions of consumers to major ecommerce and travel brands (including retail, entertainment, and hospitality verticals) at the moment transactions occur. Rokt's infrastructure processes billions of transactions annually using an AI and decisioning layer to personalize offers in real time. Headquartered in New York with teams across North America, Europe, and Asia-Pacific, the company operates at 501–1,000 employees and serves as a trust partner for transaction monetization and customer acquisition at scale.
Rokt's platform is built on Apache Spark, Python, Kafka, Apache Airflow, TensorFlow, and AWS. Data infrastructure includes DataHub for metadata, Kubeflow for ML workflows, and mParticle for consumer event collection. Finance and ops tools include NetSuite, FloQast, and Ramp.
Rokt is headquartered in New York City. The company maintains offices across North America, Europe, and the Asia-Pacific region and is actively hiring in the United States, Australia, and Canada.
Other companies in the same industry, closest in size