Global container shipping and logistics with 650+ vessels across 177 countries
CMA CGM is the world's 3rd largest shipping company, operating a fleet exceeding 650 vessels and handling over 23 million containers annually. The hiring profile reflects a logistics-first organization: finance, sales, and ops roles dominate the 118 active openings, while engineering represents a small fraction—suggesting operational maturity prioritizes commercial execution and cost control over platform transformation. Active pain points around workforce planning, data reliability, and cost monitoring align with the finance-heavy hiring mix, indicating the company is scaling internal capabilities to manage complexity across 177 countries and 160,000 employees.
Notable leadership hires: Compliance Lead
CMA CGM operates a global supply-chain network spanning sea, land, air, and logistics. The container-shipping backbone (650+ vessels serving 420+ ports) is supplemented by CEVA Logistics (1,000+ warehouses, 15 million shipments in 2024), air cargo operations ramping to 6 aircraft by 2025, and a parallel media business (RMC-BFM, regional press titles). Headquarters in Marseille employs nearly 6,000 of the group's 160,000 staff. The tech stack reflects an enterprise operations model: SAP R/3 and SuccessFactors anchor financial and HR processes; cloud platforms (Azure, GCP, AWS) and BI tools (Power BI, Looker, Qlik Sense) support analytics; containerization (Docker, Kubernetes) and machine learning libraries (PyTorch, TensorFlow, scikit-learn) indicate emerging data-science and automation initiatives.
Present in 177 countries with 160,000 employees. Actively hiring across 17 countries including Saudi Arabia, United States, Malaysia, Singapore, India, and France.
Handled over 23 million TEU (twenty-foot equivalent units) in 2024. Operates fleet of 650+ vessels serving 420+ ports across 5 continents.
Core systems: SAP R/3, SuccessFactors, Salesforce, Oracle, ServiceNow. Analytics: Power BI, Looker, Qlik Sense. Cloud: Azure, GCP, AWS. ML/data: Python, PyTorch, TensorFlow, Kubernetes, MLflow.
CMA CGM'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.