B2B ABM platform combining intent data, multi-channel media activation, and measurement
Madison Logic operates a performance-driven ABM platform that orchestrates content syndication, display, CTV, audio, and LinkedIn ads using proprietary intent signals. The tech stack—Node.js, Go, Python, Java, Rust, and heavy AWS services (SageMaker, EKS, Lambda, RDS, DynamoDB)—reflects a data-intensive, real-time systems architecture. Active projects around ML-driven automation, data products, and reporting workflows, combined with hiring velocity in engineering and data, signal a company scaling toward self-service analytics and campaign intelligence.
Madison Logic is a B2B marketing technology company founded in 2005 that helps enterprise and mid-market companies identify high-intent accounts and accelerate deal cycles through multi-channel media activation. The platform combines proprietary account-based intent data with programmatic distribution across owned, earned, and paid channels—content syndication, display networks, connected TV, podcasts, and LinkedIn—to drive cost-efficient pipeline generation. The company operates from New York with 201–500 employees and serves global marketing and sales teams.
Madison Logic runs Node.js, Go, Python, Java, and Rust on AWS, leveraging SageMaker for ML, EKS for container orchestration, RDS and DynamoDB for data, Terraform for infrastructure-as-code, and Grafana + Loki for observability.
Yes. Madison Logic has 5 active engineering roles posted across accelerating velocity, with a seniority mix of senior, manager, and mid-level positions. They are hiring in the United States, Canada, United Kingdom, and India.
Active projects include ML systems for automation and data enrichment, data products and analytics roadmaps, inventory allocation and pacing management, data governance and security, and improvements to client reporting and forecasting processes.
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