TrueBiz, a YC S22 graduate, has built an API that replaces manual business underwriting — traditionally a 20-to-30-minute process of Googling websites, reviews, and social profiles — with a 30-second automated decision. The system ingests thousands of signals across the internet to determine whether a business is real, what it actually does, and its risk level. The company is already live with Visa, Mercury, and Lightspeed, processing millions of requests as part of critical payment and onboarding flows, and claims a profitable, fast-growing model that doesn't require additional venture capital.

The engineering stack runs on AWS ECS/Fargate with RDS and asynchronous pipelines, using Python/Django and React on the frontend. The team emphasizes high-throughput, low-latency design for enterprise workloads, with a focus on reliability, observability, and reasoning over messy real-world web data. They're also shaping how AI agents evaluate business risk beyond simple API calls.

The Senior Engineer role demands strong backend experience with Python and Postgres, production AWS operations, and end-to-end ownership from design through debugging. The position is remote within the US and offers significant autonomy on a lean, high-ownership team.

TrueBiz sits at a practical intersection of fintech infrastructure and applied AI: automating a high-friction compliance bottleneck with measurable latency and throughput requirements. Their traction with major payment processors suggests the API approach is winning over legacy manual review, and the technical challenges — scaling ingestion pipelines, improving signal quality, embedding AI reasoning — map directly to problems many engineering teams face when moving from prototype to production-grade risk systems.