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ABOUT VEG In 2014, VEG was born with a mission to help people and their pets when they need it most. This meant challenging the status quo and fixing everything that was wrong with the ER experience. Since then, we’ve…
WHO WE ARE VEG is a rapidly growing emergency company with hospital locations across the United States. Our mission is helping people and their pets when they need it most. We are revolutionizing emergency medicine…
Coordinates IT project intake and roadmap processes for a veterinary emergency care provider, tracking requests and stakeholder updates using tools like Monday.com or ServiceNow.
Leads the planning and execution of opening new veterinary emergency hospitals nationwide, coordinating construction, staffing, procurement, and operational readiness to ensure on-time launches.
Senior ServiceNow engineer building ITSM, HRSD, Knowledge, and Virtual Agent solutions, integrating with Workday/Okta, and automating workflows for a fast-growing veterinary emergency network.
Senior Analyst in Governance, Risk & Compliance ensures VEG meets security and privacy standards by assessing vendors, maintaining PCI and privacy evidence, and documenting controls for audits.
Build and govern the single source of truth for people data at a fast-growing veterinary emergency care network, enabling smarter workforce decisions across 24/7 hospitals.
The AI Security Engineer will lead the security strategy for AI adoption at Veterinary Emergency Group, focusing on assessing AI tools, hardening internal AI systems, and defending against AI-enabled threats. This role involves implementing security controls, performing threat modeling, and partnering with engineering teams to ensure secure AI development.
ABOUT VEG In 2014, VEG was born with a mission to help people and their pets when they need it most by challenging norms and fixing the ER experience. Since then, we’ve expanded rapidly, with hospitals nationwide open…
Data Platform Product Manager at VEG's White Plains HQ who owns the vision, roadmap, and backlog for a data domain, turning ambiguous business needs into buildable data products alongside Data Engineering. Core technologies include SQL, Snowflake-based data warehousing, data pipelines, dimensional data models, and semantic layers.
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