Multi-currency fintech platform for global company payments and expenses
Jeeves operates a multi-currency financial platform serving global teams with accounts, corporate cards, cross-border payments, and expense management. The tech stack reveals a mature payments infrastructure (Fedwire, SWIFT, Kubernetes, multi-cloud) paired with modern AI experimentation (LLM pipelines, vector search, spend categorization)—indicating active product expansion beyond core payments. Hiring velocity is accelerating with a 7.8:1 sales-to-engineering ratio and explicit recruitment across seven countries, signaling aggressive geographic expansion and a sales-led go-to-market model.
Notable leadership hires: Head of Sales
Jeeves provides an integrated financial platform enabling global companies to manage multi-currency accounts, issue corporate cards, execute cross-border payments, and track expenses on a single interface. The product targets mid-market and enterprise teams operating across multiple countries and currencies. Infrastructure spans Kubernetes-based deployment across AWS, Azure, and GCP, with transaction processing routed through Fedwire and SWIFT networks. Active development includes stablecoin onboarding, AI-driven expense categorization, and backend scaling to support payments across 20+ countries. The organization is headquartered in Miami and actively hiring across sales, engineering, product, and operations roles in the United States, Latin America, the United Kingdom, and India.
Jeeves uses Node.js, React, and Python for core services deployed on Kubernetes across AWS, Azure, and GCP. Payment routing flows through Fedwire and SWIFT. Sales and customer tools include Salesforce, HubSpot, and Pipedrive; testing leverages Cypress and Playwright.
Current projects include stablecoin onboarding, AI-powered spend categorization and document parsing, LLM integration pipelines, vector search for semantic search, institutional-grade infrastructure for 20+ countries, and global SDR playbook scaling.
Jeeves'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.