Procure-to-pay and spend management software for finance and operations teams
Procurify builds procure-to-pay software covering purchase requests, approvals, POs, invoicing and payments, with ERP and cXML integrations. The stack shows an AI push in progress: pgvector, LangChain and FastAPI sit alongside a Django/React core on AWS and Kubernetes, matching job-post themes of AI-native product work and agentic positioning. Hiring is accelerating and senior-weighted, led by engineering.
Procurify is a Vancouver-based, privately held software company founded in 2013, with 51–200 employees. Its platform gives finance and operations teams control over spend from intake through payment, including requisitions, approval workflows, purchase orders, invoices, payments and spending cards. It targets mid-market organizations in sectors such as healthcare, education, biotechnology, manufacturing and non-profit. The product connects to accounting and ERP systems including NetSuite, QuickBooks, Sage Intacct and Business Central so spend is tracked before it reaches the books. Current hiring is concentrated in Canada.
Procurify runs Django and Python on the backend with React and TypeScript on the frontend, deployed on AWS with Kubernetes, Docker and Terraform, plus MySQL, CircleCI and SonarCloud. AI tooling includes LangChain and pgvector.
Yes. Engineering is the largest hiring area at Procurify, with most openings at senior level, alongside roles in product, finance, marketing and sales. Hiring is accelerating and based in Canada.
Procurify is headquartered in Vancouver, British Columbia, Canada, and has 51–200 employees.
Other companies in the same industry, closest in size
Procurify'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.