Marketing technology and services platform for distributed retail and channel ecosystems
Ansira operates a marketing technology stack built on .NET, SQL Server, and Salesforce, with recent adoption of Snowflake and Azure Data Factory signaling a shift toward cloud-native data infrastructure. The hiring mix is heavily skewed toward marketing and finance roles (25 of 42 active positions), while engineering represents only 5 openings—a pattern consistent with a services-and-technology hybrid rather than a pure-play software vendor. Active projects center on media operations, ABM execution, and lead routing, paired with pain points in tagging accuracy and production bottlenecks, suggesting ongoing operational efficiency challenges across their distributed client base.
Notable leadership hires: Print & Fulfillment Lead
Ansira is a privately held marketing technology and services company headquartered in St. Louis with 1,001–5,000 employees. The company serves global enterprises operating in distributed channels—retail networks, franchises, and partner ecosystems—providing proprietary platforms for local marketing, co-op management, CRM, and loyalty programs. The business combines software platforms with managed services and strategy consulting, targeting mid-market and enterprise marketing and sales departments. Stack choices (Salesforce, Azure, Snowflake, Google Apps Script) and active hiring in India, Colombia, and the US reflect a global delivery model.
Core stack includes .NET, C#, SQL Server, Salesforce, and Angular on the application layer; Azure and AWS for cloud infrastructure; and emerging adoption of Snowflake and Azure Data Factory for analytics and data pipelines.
Active projects include media operations process improvements, ABM program execution, lead routing optimization, RFP and business development, and media tagging implementation. Pain points center on tagging accuracy, production bottlenecks, and process efficiency.
Ansira'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.