AI-Powered Accounting. Backed by Y Combinator.
About the role
Financial data has very little margin for silent error. A missing transaction, duplicated record, stale sync, or incorrect mapping can cascade into a wrong close. You will work with data from ERPs, banks, spreadsheets, PDFs, file uploads, and customer-provided documents that arrives in inconsistent formats and needs to be normalized, validated, audited, and made useful before humans or agents act on it.
What they'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 building data pipelines, ingestion systems, transformation layers, or backend services around complex data models
- Experience with async jobs, queues, workflow engines, retries, idempotency, and failure recovery
- Strong coding ability in TypeScript, Python, Go, Rust, or similar
- Strong debugging instincts across data, backend, infrastructure, and workflow layers
More about this role
Truewind is building AI agents that help accounting teams close books faster and more accurately. Our agents read documents, prepare workpapers, reconcile transactions, draft structured outputs, and operate across ERP and financial systems.
To make this reliable in production, we need a strong product infrastructure engineer who can build the data foundation and execution systems underneath the product.
This is a backend-leaning infrastructure role for someone who can work across production data models, correctness-sensitive workflows, and agent execution systems. It is data-first in the near term: the primary focus is migrating Truewind from legacy data models into cleaner, more durable domain models while keeping live customer workflows working. As that foundation gets stronger, the role also expands into the execution infrastructure that lets AI agents safely complete real work.
This is not a prompt engineering role, a pure analytics data role, or a pure DevOps/SRE role. It is a product infrastructure role for someone who has lived through messy production systems and can move between backend services, data correctness, workflow reliability, and product-facing...
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