Animal health company developing medicines and diagnostics for pets and livestock
Zoetis develops products to prevent, detect and treat illness in companion animals and livestock, serving veterinarians and producers worldwide. Hiring is accelerating and skews toward field sales and manufacturing, while the stack pairs SAP (PP/DS, Ariba, Commerce Cloud) and Salesforce with regulated-science tools like Veeva Vault, LIMS, WinNonlin and Monolix. That combination points to a commercial push around new product launches backed by tightly controlled production.
Notable leadership hires: Veterinary Director, Materials Management Lead, Animal Behavior Director
Zoetis is a publicly traded animal health company headquartered in Parsippany, New Jersey, founded as a standalone company in 2013. It works on predicting, preventing, detecting and treating disease in animals, with customers spanning veterinarians, livestock producers and pet owners in more than 100 countries. The company employs over 10,000 people. Current hiring spans the United States, China, Italy, Mexico, the United Kingdom, India, Australia and several other markets across sales, manufacturing, operations, research and finance.
Zoetis runs SAP (including PP/DS, Ariba and Commerce Cloud), Salesforce Sales and Service Cloud, Workday, Veeva Vault, LIMS, Power BI, Tableau, Alteryx, Azure, GCP, Anaplan, OneStream and Workiva.
Yes. Sales is the largest hiring area at Zoetis, followed by manufacturing and operations, with overall hiring velocity accelerating and leadership openings such as Veterinary Director.
Zoetis is hiring in the United States, China, Italy, Mexico, the United Kingdom, Austria, Costa Rica, Hungary, India, Vietnam, South Africa, Canada, Poland and Australia.
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Zoetis'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.