About the role
Data Analyst 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 A high-ownership, high-visibility role where you'll build the company's operating visibility from the ground up. The right fit for someone who thrives in ambiguity, loves working with messy data, and wants their work to directly shape how a fast-moving technical team makes decisions. What you will do Own the metrics and reporting infrastructure that keeps the business informed — defining and maintaining core KPIs, building dashboards, and pulling together data across systems to make it usable and trustworthy. You'll analyze trends, surface issues early, and partner directly with leadership to answer high-priority questions, translating ambiguous asks into structured analysis and communicating findings clearly to both technical and non-technical stakeholders.
Responsibilities Own core business and product metrics and define KPI reporting across the company Build dashboards and reporting frameworks that give
the team clear visibility into performance Pull together data across systems and make it usable, trustworthy, and easy to interpret Analyze trends, identify issues, and surface actionable insights Partner closely with leadership to answer high-priority business questions
