Cox Communications operates a legacy telecom infrastructure serving millions of residential and business customers across the Southeast and Midwest. The tech stack reveals active investment in cloud analytics (Snowflake, AWS, Athena) and ML/AI capabilities (SageMaker, Bedrock, TensorFlow, PyTorch), paired with traditional telecom monitoring tools (SNMP, syslog). Hiring remains sales-heavy (90% of open roles) focused on junior staff, suggesting customer acquisition and retention pressure—a pattern reflected directly in pain-point data flagging churn, customer downgrade risk, and sales-target execution.
Cox Communications is the largest privately held telecom operator in the United States, serving nearly seven million homes and businesses across 18 states from its headquarters in Atlanta. The company operates across three primary service lines: broadband, television, and telephone, along with complementary offerings in home security, home automation, and advertising solutions. The current hiring agenda centers on sales and customer support roles, with active projects spanning device activation, customer onboarding flows, adtech platform development, and sales event management. Internal operational challenges cluster around customer retention, churn reduction, cost control, and first-call resolution effectiveness in support operations.
Cox uses Snowflake and AWS for cloud infrastructure, with Athena for querying and Glue for data integration. For analytics and visualization: Tableau and Power BI. For machine learning: SageMaker, Bedrock, TensorFlow, PyTorch, and scikit-learn. Operational monitoring relies on SNMP and syslog.
Cox serves nearly seven million homes and businesses across 18 states, operating as the largest privately held telecom company in the United States.
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