Global aviation logistics operator with 747 freighter fleet
Atlas Air Worldwide operates the world's largest 747 freighter fleet across 90 countries, serving supply-chain logistics at scale. The tech stack reveals a hybrid legacy-to-cloud transition: enterprise resource planning (JD Edwards), financial controls (BlackLine), and business analytics (Power BI, Tableau, Anaplan) sit alongside AWS infrastructure and cost-management tools (CloudHealth, AWS Cost Explorer). Active hiring leans heavily toward operations roles while the project backlog emphasizes cost optimization, cloud spend forecasting, and compliance—suggesting a company simultaneously managing tight margins on fuel and aviation logistics while modernizing cloud financial controls.
Notable leadership hires: Transformation Director, Procurement Director
Atlas Air Worldwide is the parent company of Atlas Air, Inc., Titan Aviation Holdings, and Polar Air Cargo Worldwide, operating the world's largest fleet of Boeing 747, 777, and 767 freighter aircraft, with Airbus A350F deliveries beginning in 2029. The company serves a diversified global supply-chain customer base across more than 300 destinations in 90 countries, with approximately 5,000 employees. The operational footprint is capital-intensive: logistics and flight operations anchor the business, supported by finance, procurement, and compliance functions. Hiring is concentrated in the United States, with emerging operations in China and Brazil.
Atlas Air's tech stack includes JD Edwards (ERP), BlackLine (financial controls), Salesforce (CRM), Power BI and Tableau (analytics), Anaplan (financial planning), AWS (cloud infrastructure), and specialized aviation systems like ACARS and ACAS. The company is actively managing cloud cost optimization through CloudHealth and AWS Cost Explorer.
Atlas Air is actively hiring in the United States, China, and Brazil. U.S. positions dominate the current pipeline, with emerging operations support in Asia and Latin America.
Atlas Air'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.