Consumer insights platform powered by ML and real-time data infrastructure
Prodege operates a marketing and consumer insights platform built on modern data infrastructure—Snowflake, BigQuery, dbt, Kubernetes, and AWS—with active ML projects (PyTorch, XGBoost, scikit-learn, spaCy) around yield optimization and fraud detection. The hiring profile is engineering and data-heavy (31 of 49 active roles), with most positions senior-level, signaling a shift from survey-and-polling mechanics toward predictive analytics and event-driven architecture.
Notable leadership hires: Customer Support Lead
Prodege is a marketing and consumer insights platform that helps brands and agencies gather customer data, run targeted campaigns, and optimize marketing spend. Founded in 2005 and based in El Segundo, California, the company operates at scale with 501–1,000 employees across the US, India, Greece, and Germany. The product suite includes survey and polling infrastructure (reflected in past acquisitions of Pollfish, BitBurst, and AdGate Media) layered with modern BI, analytics, and ML capabilities. Current engineering focus spans event-driven systems, feature store development, and lifecycle automation.
Prodege's core stack includes Snowflake, BigQuery, Redshift, and Iceberg for data warehousing; dbt for transformation; Kubernetes and Docker for orchestration; AWS services (RDS, Lambda); and ML libraries (PyTorch, XGBoost, scikit-learn, spaCy, LangChain). Frontend is React + Redux with Webpack; testing via Jest, Cypress, and react-testing-library.
Active projects include yield optimization through predictive modeling, event-driven architecture, scaling BI and analytics platforms, feature store development, automated lifecycle systems, multi-channel execution, and fraud detection. These align with internal challenges around observability, performance, and expanding ML across business functions.
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