AI-powered marketing attribution and incrementality testing platform
Measured is an AI-powered marketing effectiveness platform built on Python, SQL, and AWS infrastructure (ECS, Lambda, EKS, RDS, Redshift). The company is actively transforming its SaaS foundation into an AI-first product experience—prototyping AI-powered demos and building internal frameworks for prompt iteration—while tackling core measurement challenges: scaling model training across clients, automating deployment, and ensuring high-confidence outputs in an increasingly privacy-constrained tracking environment.
Measured builds a platform for enterprise marketing teams to measure, test, and optimize media spend across channels. The product combines attribution modeling with incrementality testing, helping marketers quantify the causal impact of advertising rather than relying on correlation alone. Founded in 2017 and headquartered in Austin, the company serves mid-market to enterprise brands managing full-funnel media investments. The engineering and data-focused hiring mix reflects ongoing work on model training infrastructure, deployment automation, and measurement methodology research.
Measured's core stack includes Python, SQL, Java, and Kotlin on AWS infrastructure (ECS, Lambda, EKS, RDS, Redshift). Frontend uses JavaScript and TypeScript. MySQL and PostgreSQL handle relational workloads alongside Redshift for analytics.
Active projects include MMM platform enhancements, measurement methodology research, and transforming the SaaS platform into an AI-first experience. Recent work covers AI tool development, AI-powered demo prototypes, internal prompt-iteration frameworks, and SEO-informed content strategy.
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