Product Infrastructure Engineer, Data & Agent Systems

at Truewind — AI-Powered Accounting

San Francisco, CA, USFull-time11+ years$180K - $200K0.10% - 0.25% equityYC-W23

What the role involves

About Truewind

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 infrastructure.

Why this role matters

Truewind is in the middle of a major platform transition.

We are migrating from legacy schemas into cleaner domain models. These systems need to run side by side while we move product modules, preserve customer behavior, validate correctness, and avoid breaking production workflows.

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.

At the same time, our agents are becoming more capable. They need reliable execution infrastructure: long-running jobs, retries, workspaces, artifacts, review flows, logs, traces, and failure recovery.

In a larger company, this might be split across data platform, product infrastructure, and agent runtime teams. At our stage, we need someone who can work across these layers without losing sight of correctness or product impact.

Team and stack

You will work directly with the engineering and product team on infrastructure that is already in production with real customers. The work sits between backend engineering and data infrastructure, with a stack that includes TypeScript, PostgreSQL/Supabase, Drizzle, queue and workflow systems, cloud infrastructure, and Python or similar tools where they are the right fit for data and automation work.

What you'll work on

  • Data infrastructure and model migration

You will help move Truewind from legacy data models to cleaner, more durable domain models while the product stays live.

This includes

Building and maintaining data pipelines that ingest, normalize, transform, and serve correctness-sensitive financial data

Migrating customer-facing product modules from legacy schemas to new domain models

Maintaining compatibility while legacy and new systems run side by side

Designing schemas, repositories, services, APIs, and workflows around complex data models

Writing migrations, backfills, validation checks, and test coverage

Building data quality checks to catch missing, duplicate, stale, inconsistent, or incorrectly mapped records

Improving observability around syncs, transformations, model transitions, and downstream product behavior

Preserving tenant isolation, auditability, and correctness across data flows

Creating internal tools that help engineers debug data pipeline and migration failures faster

  • Agent execution systems

You will also help make our AI agents reliable enough for real production workflows.

This includes

Building orchestration for long-running agent workflows

About Truewind

Truewind is a technology company based in San Francisco developing a digital staff accountant. Powered by AI, Truewind is a digital staff accountant that never sleeps, never gets sick, and always does its work. Completely predictable capacity planning. Automate data categorization, supporting documentation collection, and client follow-up. Truewind’s AI agents will follow up on outstanding action items while the accountant can work on strategic tasks. This is fully integrated and unified across your accounting operations. We make it easy to get work done and get visibility into your team’s processes. Trusted by over 100 customers, including accounting firms EisnerAmper and Frank Rimerman, along with fast-growing companies such as Wefunder, StartPlaying and Mozart Data. We’re backed by the industry leaders of accounting and AI, Rho Capital, Thomson Reuters Ventures, Pathlight Ventures, Fin Capital, and Y Combinator.

Full Truewind profile

Other roles at Truewind

Similar Engineering, Backend elsewhere

jobo is a browser extension. Open this on a computer to install it.