
AI Agents for collections
We're building the infrastructure that will replace call centers at the world's largest financial institutions. Voice AI that handles thousands of live calls every day for Fortune 500 banks and insurers, end to end.
Call volume is 3x-ing monthly. We're hitting problems most startups never see: real-time voice AI at scale, legacy banking infrastructure, enterprise telephony, regulatory constraints.
You deploy our platform into complex enterprise environments and make it work. This is a technical role. More time in code than in meetings.
You'll build integrations against legacy APIs, financial systems, and telephony stacks that weren't designed for AI. You'll debug production issues in real-time, often in systems you didn't build and can't fully control. You'll write custom tooling, data pipelines, deployment automation, build systems from scratch. Whatever the deployment needs.
Some customer interaction is inevitable. You need to understand their environment. But this isn't a customer success role. You're there to solve technical problems.
Five engineers. Everyone ships to production.
We do dailies. We groom tickets. But we keep process light and in service of the work, not the other way around. We'd rather spend time building than talking about building.
We believe software can feel magical. That means caring about the details most teams skip. Clean abstractions. Systems that don't page you at 3am. Code you wouldn't be embarrassed to open-source. We build things that last because we're the ones maintaining them.
Ownership here is real. You won't be handed tasks from a backlog. You'll see what needs to happen and do it. That's how a small team ships to Fortune 500 customers.
We hire people whose judgment we trust, then get out of their way. No passengers.