Real-time audience analytics and ad revenue tools for digital publishers
Chartbeat sells real-time audience analytics and ad-operations software to media and publishing companies, now organized as a multi-brand group (Chartbeat, Tubular, Lineup, FatTail). The stack splits between a modern data/ML core (Snowflake, Kafka, Spark, PyTorch, MLflow) and a .NET/IIS/SQL Server estate, hinting at acquired products still being integrated. Hiring is accelerating and sales-led, with director- and VP-level roles dominating.
Notable leadership hires: Sales Director
Chartbeat, founded in 2009 and headquartered in Austin, Texas, builds analytics and monetization software for digital media organizations. Its product lines cover real-time content and audience measurement, video analytics, and revenue tools that simplify ad operations for publishers. The company serves media brands internationally and employs 51–200 people. It hires across the United States, United Kingdom, Ukraine, China and Singapore, spanning sales, support, data, marketing, engineering and product functions.
Chartbeat runs Snowflake, BigQuery, Kafka, Apache Spark, Kubernetes and Python with PyTorch, TensorFlow and MLflow, alongside a .NET, C#, SQL Server and IIS stack, plus Vue, Angular and GraphQL on the front end.
Yes. Sales is Chartbeat's largest hiring area, including a Sales Director role, with additional openings in support, data, marketing, engineering and product across the US, UK, Ukraine, China and Singapore.
Chartbeat is building out an AI and backend infrastructure roadmap, deploying LLM-powered features, running a full-cycle data ETL pipeline, and pushing cross-sell and upsell across its product brands.
Other companies in the same industry, closest in size
Chartbeat's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.