VEG operates a chain of 24/7 emergency veterinary hospitals across the United States, with a predominantly clinical workforce (471 healthcare roles vs. 1 engineering) and infrastructure built on Workday, Okta, Snowflake, and Tableau. Active hiring is accelerating with 106 roles posted in the last 30 days—heavily weighted toward mid-level and intern positions—while projects center on clinical standardization (ultrasound training, new protocols, triage systems) and talent acquisition, reflecting a growth phase focused on scaling capacity and locking in veterinary staff in a competitive labor market.
Notable leadership hires: Veterinary Nursing Shift Lead, Medical Director
VEG is a privately held operator of emergency veterinary hospitals founded in 2014, headquartered in White Plains, New York, with locations across the United States and Canada. The company provides 24/7 emergency and critical care for pets, including surgical procedures, ultrasound, endoscopy, and oxygen therapy. With 1,001–5,000 employees, VEG's workforce is almost entirely clinical (veterinarians, veterinary technicians, nursing staff), supported by back-office teams in finance, HR, ops, and data. The organization runs a training-first culture, with active programs for veterinary technician externships and education initiatives.
VEG runs Workday (HRIS), Okta/Entra (identity), Snowflake + dbt + Snowpipe (analytics), Tableau (BI), Coupa (procurement), Greenhouse (recruiting), and Cornerstone LMS (learning). Also DocuSign, Adobe suite, and Zoom for communications.
VEG is headquartered in White Plains, New York. The company operates hospitals nationwide in the United States and Canada, all open 24/7, 365 days a year.
VEG ER for Pets'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.