Product Infrastructure Engineer, Data & Agent Systems

Backend-leaning infrastructure role focusing on building data foundation and execution systems for AI agents in accounting Product infrastructure role involving production data models, correctness-sensitive workflows,

and agent execution systems

Position Overview Backend-leaning infrastructure role focusing on building data foundation and execution systems for AI agents in accounting Job Overview Product infrastructure role involving production data models, correctness-sensitive workflows, and agent execution systems

Migrating Truewind from legacy data models to cleaner domain models while maintaining live customer workflows What We're Looking For 4+ years of experience in product infrastructure, backend engineering, data infrastructure, or distributed systems

Strong experience with relational databases, schema design, migrations, and data integrity Experience with async jobs, queues, workflow engines, retries, idempotency, and failure recovery

Strong coding ability in TypeScript, Python, Go, Rust, or similar Good judgment around system boundaries, reliability, observability, and operational simplicity

Building and maintaining data pipelines for financial data Migrating customer-facing product modules to new domain models Designing schemas, repositories, services, APIs, and workflows Writing migrations, backfills, validation checks, and test coverage Improving observability and data quality checks Creating internal tools for debugging data pipeline failures Building orchestration for agent workflows and execution systems Designing artifact handling, tool-calling infrastructure, and human review flows for AI agents Adding traces, logs, workflow state, and debugging tools for auditability Preferred

Experience with ERP, fintech, billing, payments, reconciliation, accounting, or financial data systems Experience with sandboxing or isolated execution technologies Experience building agent runtimes, tool execution platforms, or secure execution environments