Nonprofit stewarding the open-source Stellar payments blockchain network
Stellar Development Foundation is a San Francisco nonprofit developing an open blockchain network for payments and stablecoins. Its stack pairs C++ and Rust core work with WebAssembly, Solidity and EVM tooling, plus newly adopted JSON-RPC, pointing to smart-contract interoperability efforts. Senior-skewed hiring and new Research Director and Head of Payments roles suggest a push toward payments growth and core performance, even as overall hiring decelerates.
Notable leadership hires: Research Director, Head of Payments
Stellar Development Foundation is a nonprofit founded in 2014 and headquartered in San Francisco, CA. It supports an open-source blockchain network aimed at making it simpler and cheaper for people to send, save and receive money. The foundation serves developers, partners and ecosystem participants building financial products on the network. It employs 51–200 people, with hiring concentrated in the United States across engineering, design, product, sales, security and research functions.
Its stack includes C++, Rust, Go, Python, TypeScript, WebAssembly, Solidity and the Ethereum Virtual Machine, running on AWS, GCP and Kubernetes, with Prometheus, ClickHouse, BigQuery and Sentry for observability and data.
Current initiatives include optimizing Stellar Core performance, building a payments and stablecoin ecosystem, designing incentives for network participants, integrating RWA and DeFi opportunities, and improving decentralization resilience.
The foundation is headquartered in San Francisco, CA, and currently hires in the United States, with engineering the largest hiring area alongside design, product and sales.
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Stellar Development Foundation'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.