About the role
Software Engineer Location: San Francisco, Ca About Sapiom AI agents are beginning to act on behalf of companies and users — making purchases, spinning up compute, triggering workflows, and interacting with third-party systems. But today's financial infrastructure was built for humans, not autonomous systems. Companies and developers need a way to give agents controlled access, meter actions, monetize usage, and transact across rails, without rebuilding payments, risk, and compliance internally. Sapiom builds the financial payments infrastructure for the machine economy - autonomous spend rails that enable AI agents to transact with real-world services safely, processing every dollar spent, every policy decision navigated, and every risk signal generated. We have assembled a world-class team with deep payments and infrastructure DNA to build the operating system for machines. Backed by a $15.75M investment from Accel, Menlo, and Anthropic, we are moving with relentless focus to deploy the economic substrate for autonomous agents.
About
the Role This is a high-autonomy engineering role at the intersection of AI and financial infrastructure. You'll design and ship core systems for agentic payments end-to-end, working across the full stack — backend, integrations, platform, and beyond. You'll operate as a true owner, making real technical tradeoffs and shaping product direction alongside the founding team, with AI tools embedded throughout the workflow. What you will do You'll build core infrastructure and product systems for agentic payments, designing and shipping new capabilities from the ground up. The work spans backend, integrations, platform, and internal systems — moving wherever the problem is. You'll operate with high autonomy, make strong technical tradeoffs, and help scale systems for reliability and performance, all while partnering closely with the founding team on product and engineering direction. AI tools are a first-class part of the workflow here.
Responsibilities Own end-to-end delivery of systems — from design to production — with minimal direction Make pragmatic architectural decisions in ambiguous, fast-moving contexts Move across the stack as priorities shift, without waiting for perfect structure Contribute to product and engineering direction alongside the founding team Scale systems thoughtfully for reliability, performance, and operational speed
