Energy drink maker running global field marketing on an SAP backbone
Monster Energy pairs a deep SAP estate (ECC, S/4HANA, IBP, APO, Transportation Management, Ariba) with a full Adobe and DaVinci Resolve creative suite, meaning in-house content production sits alongside heavy supply chain planning. Hiring tilts toward marketing and sales at junior levels, matching job-post focus on sampling, retail merchandising and account volume growth, while supply chain pain points point to planning-process friction.
Notable leadership hires: Vending & Wholesale Director, Benefits Director, Commercial Director, Art Director, Marketing Director
Monster Energy is a public beverage company headquartered in Corona, California, founded in 2002 and employing between 5,001 and 10,000 people. It sells energy drinks through retail, wholesale and vending channels, supported by field sales, shopper marketing and event activation programs. Operations span manufacturing, logistics and quality functions, with hiring across North and Latin America, Asia and Europe, including Canada, Mexico, South Korea, Japan, China, India and the United Kingdom.
Monster Energy runs SAP, including SAP ECC, SAP S/4HANA, SAP MM, SAP SD, SAP IBP, SAP APO, SAP Transportation Management, SAP Ariba and SAP Cloud Platform Integration, plus OpenText VIM for invoice processing.
Yes. Marketing is the largest hiring area, followed by sales, with many junior roles plus director-level openings such as Marketing Director, Art Director and Commercial Director.
Monster Energy hires in the United States, Canada, Mexico, South Korea, Taiwan, Japan, China, India, the United Kingdom, France, Argentina, Peru and several other Latin American and Southeast Asian countries.
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Monster Energy'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.