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Jeeves Tech Stack

Multi-currency fintech platform for global company payments and expenses

Financial Services Miami , Florida 51–200 employees Privately Held

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.

Tech Stack 47 technologies

Core StackSalesforce HubSpot SWIFT Gong Node.js JavaScript TypeScript Cypress Playwright Canva Kubernetes Helm Terraform Jenkins React Angular AWS Docker Python Tableau Zendesk Pipedrive Fedwire WhatsApp GitOps Groovy Azure GCP NoSQL Linear+17 more

What Jeeves Is Building

Challenges

  • Acquiring high-value clients
  • Reducing settlement time and fx costs
  • Ensuring regulatory and operational safety
  • Expanding emea sales organization
  • Managing complex client needs
  • Expanding colombian market
  • Optimizing pipeline generation
  • Regulatory safety compliance
  • Scaling hr processes
  • Compliance with crypto regulations

Active Projects

  • Stablecoin onboarding pilots
  • Ai features for spend categorization
  • Llm integration pipelines
  • Institutional-grade infrastructure
  • Coordinate cross-functional delivery for stablecoin solutions
  • Vector search pipelines for semantic search
  • Global sdr playbook & strategy
  • Backend services for financial transactions across 20+ countries
  • Ai-assisted feature development for spend categorization, document parsing, natural language workflows
  • Pipeline generation & conversion

Hiring Activity

Accelerating40 roles · 30 in 30d

Department

Sales
27
Engineering
9
Product
3
Finance
1
HR
1

Seniority

Senior
22
Junior
5
Manager
5
Mid
4
Principal
4
Lead
1

Notable leadership hires: Head of Sales

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About Jeeves

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.

HeadquartersMiami , Florida
Company Size51–200 employees
Hiring MarketsArgentina, Brazil, Mexico, Colombia, United Kingdom, India, United States

Frequently Asked Questions

What tech stack does Jeeves use?

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.

What is Jeeves working on?

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.

How this profile is built

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.