OpenX operates a supply-side platform (SSP) for digital advertising, built on a polyglot stack (TypeScript, Python, Java, Go, Rust, Erlang, Elixir) optimized for high-volume transaction processing. The tech mix and project focus—low-latency system design, performance at scale, transaction correctness—reflect the infrastructure demands of handling billions of ad requests. Hiring is concentrated in senior and director roles across engineering and sales, with active expansion in the UK and Australia, suggesting both technical depth and geographic supply-chain scaling.
Notable leadership hires: Business Development Director
OpenX provides a supply-side platform for publishers and app developers to monetize digital ad inventory. The platform handles yield optimization, header bidding, mobile, and connected TV (CTV) supply, operating on GCP infrastructure with Kubernetes and containerization. Core technical work spans low-latency exchange systems, experimentation frameworks, and real-time reporting tools. The company addresses challenges at scale: transaction correctness with billions of requests, malware detection in ads, infrastructure cost, and international CTV expansion. Sales and business development roles indicate a partnership-driven model alongside platform product.
OpenX runs TypeScript, Python, Java, Go, Rust, and Erlang/Elixir across its platform, deployed on GCP with Kubernetes, Jenkins, and Spinnaker for CI/CD. Frontend is React with Material-UI; testing uses Playwright and Pytest.
Active projects include low-latency system design, performance and revenue reporting tools, CTV supply contracts and market intelligence, direct supply partnerships, and UI test automation for TypeScript frontends.
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OpenX'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.