Multi-currency accounts, corporate cards and cross-border payments for global firms
Jeeves runs a finance platform for globally distributed companies, combining multi-currency accounts, corporate cards, cross-border payments and expense management. Hiring is accelerating and heavily sales-led, with senior-weighted roles spread across Latin America, the UK and the US. The stack pairs payment rails (Fedwire, Swift) with an LLM toolchain (OpenAI, Anthropic, LangChain, pgvector), and active stablecoin pilots point toward faster, cheaper settlement.
Notable leadership hires: Head of Sales
Jeeves provides a single platform where companies operating across borders can hold multi-currency accounts, issue corporate cards, send international payments and manage expenses. The company is privately held, headquartered in Miami, Florida, and employs 51–200 people. It recruits in the United States, United Kingdom, Mexico, Brazil, Colombia and Argentina, reflecting a strong Latin American and EMEA footprint. Its product connects to accounting and ERP systems such as NetSuite, SAP and QuickBooks.
Jeeves builds on Go, Python, Node.js, GraphQL, gRPC, PostgreSQL, MongoDB and Redis, uses Fedwire and Swift payment rails, and runs AI tooling including OpenAI, Anthropic, LangChain, LlamaIndex and Pinecone.
Jeeves is hiring in the United States, United Kingdom, Mexico, Brazil, Colombia and Argentina, with sales the dominant function and a Head of Sales leadership search underway.
Yes. Job posts describe pilots for stablecoin onboarding and cross-functional delivery of stablecoin solutions, alongside driving adoption of InstantPay and building backend services for financial transactions.
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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.