AI-powered ecommerce search, merchandising, and personalization platform
Athos Commerce builds an AI-driven commerce platform covering product discovery, search merchandising, and personalization for multi-channel retailers. The tech stack is primarily cloud-native (AWS, Azure, Kubernetes, Terraform) with a frontend-heavy JavaScript/React/TypeScript layer, paired with C# backends — typical of SaaS serving enterprise ecommerce. Active hiring is engineering-focused (6 of 9 open roles), concentrated at senior and director levels, suggesting either scaling a team past an inflection point or filling gaps in leadership; concurrent investment in CI/CD, observability, and infrastructure signals an organization addressing reliability and operational maturity.
Athos Commerce provides a unified platform for brands to manage product discovery, search, and merchandising across websites, marketplaces, and social commerce channels. The product serves mid-market to enterprise retailers who need to streamline catalog visibility and shopper experience at scale. The company operates from San Antonio, Texas, with a 201–500-person workforce. Current engineering efforts center on product data pipeline tooling, cloud infrastructure expansion, and deployment automation, while ongoing pain points include system reliability, churn mitigation, and competitive positioning in a crowded ecommerce stack landscape.
Athos runs on AWS and Azure for cloud infrastructure, Kubernetes and Docker for containerization, and React/Next.js/TypeScript for frontend development. Backend is C#. Testing uses Jest and Selenium; CI/CD via Jenkins and Azure DevOps.
Primary projects include product data feed management, cloud infrastructure expansion, CI/CD pipeline implementation, and observability monitoring — focused on scaling reliability and reducing deployment friction.
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