AI work orchestration platform mapping jobs, tasks, and skills for enterprises
Reejig sells an enterprise system for redesigning work around jobs, tasks, and skills, then deploying AI agents into those workflows. Its stack pairs an LLM toolkit (OpenAI, LangChain, RAG, PyTorch) with HR-system integrations like Workday, SuccessFactors, and Copilot Studio. Accelerating hiring tilts toward marketing, product, and partner roles, and job posts point to building a first partner marketing function and repeatable post-sale onboarding.
Reejig is a privately held software company founded in 2019 and headquartered in New York City, with 51–200 employees. It builds a platform that helps large enterprises understand how work is performed, design a task- and skills-based work architecture for both people and AI agents, and orchestrate agents across workflows. The product is agent-agnostic and sits alongside enterprise HR systems such as Workday and SuccessFactors. Engineering runs on Python, Go, Node.js, and React/Vue, deployed on AWS with Terraform, EKS, and ECS. The company hires in the United States and Canada.
Reejig uses Python, Go, Node.js, React, and Vue on AWS (EKS, ECS) with Terraform, plus OpenAI, LangChain, PyTorch, and RAG for AI. HubSpot, Workday, SuccessFactors, and Copilot Studio also appear.
Yes, and hiring is accelerating, concentrated in marketing, product, ops, and sales with a senior-heavy mix. Roles are based in the United States and Canada.
Reejig is standing up its first enterprise partner marketing function, building a repeatable onboarding playbook, and running post-sale work design transformation programs for enterprise customers.
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Reejig'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.