Member of Technical Staff: BackendThe roleWe're looking for a backend engineer to join us in person in Flatiron, NYC. You'll own the foundational systems everything else runs on: the data layer, the integrations, the AI execution environment, and the infrastructure that has to be right every time money moves. We don't care about your education, age, or past titles. We care about one thing: whether you can build systems that scale, stay up, and get faster as we grow.
Problems you'll work on- How do you make AI agents production-grade when the output is money? Most agent systems can afford to be wrong. Ours can't. What does the execution environment, the guardrails, and the verification layer look like when a mistake is a misapplied payment?
- How do you reconcile financial data across dozens of customer environments that all disagree? Different ERPs, different schemas, different edge cases and failure modes - all of it has to normalize into one trustworthy source of truth.
- How do you build an integration layer across ERPs, payment processors, banks, and accounting systems that stays up when any one of them goes down?
- How do you bake SOC 2, encryption, access controls, and audit logging into the system from day one - so compliance is a property of the architecture, not a thing bolted on later?
- How do you make all of this debuggable so an engineer can understand any failure in minutes, not hours?
What you'll own- The backend platform Monk runs on - its architecture, its reliability, and its technical bar.
- The integration layer across ERPs, payment processors, banks, and accounting systems.
- Data pipelines that ingest, normalize, and reconcile financial data across every customer environment.
- System reliability end to end: monitoring, alerting, incident response, and the operational rigor that means customers never notice when something goes wrong.
- Security and compliance infrastructure, built into the system rather than added after the fact.
Who you are- 4+ years building and operating production backend systems. You've built them, broken them, and scaled them yourself.
- A T-shaped engineer: deep in at least one area, broad enough to push the rest forward - and you do it in TypeScript/Node.
- Strong with our stack and able to go deep where it counts: Postgres, AWS, data pipelines, observability.
- You understand the tradeoffs you're making and you know when something has to be rebuilt instead of patched.
- AI-native, not AI-dependent. You move fast with it and you know exactly when not to use it.
- An owner. You don't file tickets about infrastructure problems - you fix them, then make sure they can't happen again.
- Excited to build in person in Flatiron, NYC, [5 days a week - confirm].
Bonus if you've- Built or operated fintech or payments systems.
- Built data processing or streaming services at scale.
Why join- A broken market and a real shot at owning it. AR is huge, ignored, and ready to be rebuilt. We're early and the surface area is enormous.
- Real ownership. No spec handoffs. You'll own systems end to end and watch real customers depend on your work every day.
- A team that's all in. Motivated teammates who ship fast and hold a high bar.
- Experienced founders with [real traction / named credibility - insert] and happy customers.
- [Salary range X-X- X-Y], meaningful equity, full medical/dental/vision. [+ any in-office perks].
We hire for intensity, craft, and attitude. Everything else can be learned.
