Product Infrastructure Engineer ($200k-$220k + Equity) at Truewind

Job Title Product Infrastructure Engineer, Data & Agent Systems Salary $200k-$220k + Equity Company Description Truewind is a $17M raised, YC-backed San Francisco fintech building AI agents that automate accounting for 500+ firms and companies like EisnerAmper. Backed by Thomson Reuters Ventures and Rho Capital, they are transforming the $100B+ financial back‑office by delivering audit‑ready outputs through intelligent software and autonomous agent workflows. Job Description You will own the data foundation and execution systems powering AI agents that reconcile transactions and close books. Initially focusing on critical data model migrations and schema design, you will transition into building agent infrastructure, including long‑running job orchestration, sandboxed execution environments, and human‑in‑the‑loop review flows for correctness‑sensitive financial data. Location San Francisco, USA Why this role is remarkable Join a YC W23 standout that has already raised $17M and counts top-tier accounting firms like Frank Rimerman among its 500+ active customers. Work on “Agentic AI” that actually performs complex work—not just suggestions—transforming raw financial data into audit‑ready outputs with zero margin for error. Directly collaborate with the founding team in a high‑ownership environment where infrastructure you build is deployed to production and used by accountants weekly. What You Will Do Lead the migration from legacy data models to durable domain models while maintaining live production workflows and ensuring 100% data correctness. Architect orchestration systems for long‑running AI agent jobs, including complex retries, checkpoints, resumability, and integrated human review flows. Develop tool‑calling infrastructure and secure sandboxed environments that allow agents to safely interact with ERPs, banks, browsers, and document systems. The ideal candidate Has 4+ years of experience building production‑grade backend or data infrastructure, specifically managing complex relational database schemas and data integrity. Proficient in TypeScript and PostgreSQL, with a proven track record of migrating live production systems without breaking existing customer workflows. Possesses deep experience with asynchronous systems, workflow engines (like Temporal or BullMQ), and building observability for high‑stakes, multi‑tenant SaaS environments. #J-18808-Ljbffr Jack & Jill