AI-powered programmatic advertising platform for omnichannel CTV campaigns
Viant is a public programmatic advertising platform (NASDAQ: DSP) built around omnichannel CTV planning, execution, and measurement. The tech stack reveals a mature, polyglot engineering org: Go + Java + C# for backend services, PostgreSQL + MySQL + Oracle for data, Kafka for event streaming, and TensorFlow + PyTorch + LangChain for the recently launched ViantAI autonomous advertising layer. Hiring is accelerating with a senior-heavy skew (21 of 41 open roles at senior+ level), concentrated in engineering and sales, suggesting both product velocity and aggressive account-expansion motion into new territories.
Notable leadership hires: Account Director, Compensation Director, Legal Director
Viant Technology (NASDAQ: DSP) operates as a leader in AI-powered programmatic advertising, serving mid-market and enterprise marketers. The core platform integrates planning, execution, and measurement across CTV and omnichannel channels, using real-time bidding and audience targeting. The company recently launched ViantAI, a fully autonomous advertising solution, and operates from headquarters in Irvine, California with 201–500 employees. Revenue generation is sales-driven with post-sale scaling and account retention as operational priorities. Active projects span publisher onboarding, custom reporting, platform stability, and AWS infrastructure optimization.
Viant's backend uses Go, Java, and C#; databases include PostgreSQL, MySQL, Oracle, and BigQuery; infrastructure runs on AWS and GCP with Kubernetes and Docker; ML layers employ TensorFlow and PyTorch; and data flow uses Kafka and Redis.
Key operational friction points include scaling strategic accounts post-sale, retaining key accounts, improving insight quality in measurement, stable inventory flows, and onboarding CTV publisher partners at scale.
Viant Technology'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.