Engineering Lead, Financial Systems

Monk is an AI-native accounts receivable (AR) platform for B2B companies helping businesses get paid fast.

The AR stack is broken. Finance teams still chase payments with spreadsheets, reconcile AR in spreadsheets and use software that was built a decade ago. We think this is one of the largest, most ignored problems in B2B software. Trillions of dollars sit in outstanding invoices and the tools to unlock cashflow are stuck in the past. We are rebuilding Monk with AI, speed, and real craftsmanship.

We are already doing this for over $1B of accounts receivables. We are backed by leading investors and our founders bring significant experience to our company (more here).

We are early, the upside is enormous, and the hardest, but also the most rewarding work is ahead of us.

The role

Own Monk's Financial Systems end-to-end: technical direction, architecture, delivery, quality, and lead a team of engineers.

You will solve the hardest technical problems in fintech that impact revenue and cash flow, build product and engineering roadmaps with customers and founders, and lead a team of engineers to ship fast.

This is one of Monk’s most important product surfaces.

In this role you will

Build and operate systems that connect to Monk. ERPs, accounting platforms, banking data, payment providers, files, APIs, and other sources of truth.

Serve enterprise customers processing billions in revenue. Unblock strategic customers, build for technical excellence, accelerate go-lives, and ship daily into core product.

Lead design and execution of complex projects: own high-volume projects end-to-end including architecture, implementation, rollout, monitoring, telemetry, control planes in TypeScript, Temporal, and Postgres.

Lead a small pod of engineers. Set priorities, write clear technical plans, review code, raise the quality bar, and mentor people into stronger builders.

Build software factories. You will build autonomous agents and tooling to accelerate productivity, enabling you and your team to ship 10x faster.

Work directly with customers, GTM, and founders. You will build, maintain, and upgrade financial systems that support enterprise customers

Who you are

8+ years building and operating production backend systems. You've built them, broken them, and scaled them yourself

Experience leading a team of engineers

Experience building APIs, data processing pipelines, event-driven systems

Strong experience in Postgres, AWS, data pipelines, observability

Comfortable with agentic workflows, AI tooling, and orchestration systems

AI-native, daily use of coding agents as your primary development driver.

An owner. You don't file tickets. You fix them, and then make sure they can't happen again

Excited to build in person in Flatiron, NYC

Bonus if you

Have experience with fintech or payments data systems

Have built backend infrastructure for LLM or agent products

Were a founding or early backend hire

Our values (we hope that you will add your DNA/values and impact our culture as you build with us)

Ownership and craft: We own our work end to end and obsess over getting the details right. We believe that our Customers deserve the best possible outcomes and we strive to produce work that would get a 12/10 reaction from either our Customers or members of our team. Ownership is also knowing when to go deep on a problem and when to move fast. And when the v1 is live - we own all follow-through until it is perfect

Speed and urgency: We ship daily. We act now. Not tomorrow and not the end of the week, but today - this hour. We love shipping fast to delight our Customers

Radical clarity: We believe in getting to the truth. It is important that all of us reason from the same version of reality (the truth) so that we can get the best result. We strive to get the truth by any means necessary. This means being open to feedback, obsessing over improving from our mistakes and clear communication

Why solve this problem now

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