Koddi operates a multi-channel commerce media platform serving enterprise retailers and brands across retail, travel, auto, and financial services verticals. The tech stack—AWS, Kubernetes, Databricks, SingleStore, Python, Go—reflects an infrastructure-heavy organization managing billions of ad impressions and real-time decisioning at scale. Active hiring across engineering, sales, and data, combined with projects focused on ad-serving optimization, vulnerability scanning, and client onboarding automation, signals capacity expansion in core product delivery and security posture.
Koddi is a commerce media technology company founded in 2013 and based in Fort Worth, Texas. The platform enables enterprises to build and operate retail and commerce media networks, offering self-serve buying and performance reporting across display, native, video, sponsored products, and onsite/offsite inventory. Koddi works with established brands, franchises, and commerce networks seeking consolidated multi-channel media management and first-party data activation. The company operates at enterprise scale, managing billions of dollars in media spend and billions of ad impressions annually across customers in retail, travel, auto, real estate, home services, quick-serve restaurants, and financial services.
Koddi's core infrastructure includes AWS (EC2, EKS, GuardDuty, Security Hub), Kubernetes, Databricks, SingleSelect, Python, and Go. DevOps tooling covers Terraform, CloudFormation, and Helm; observability runs on Datadog; and CRM/ops systems include Salesforce and Zendesk.
Active projects include campaign performance optimization, ad-serving optimization pipelines, real-time decisioning infrastructure, vulnerability scanning, CI/CD automation, and scalable client onboarding. The company is also standardizing campaign structures and reducing reliance on custom development.
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Koddi'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 →
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