Forward Deployed Engineer

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

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

You will be the founding Forward Deployed Engineer team at Monk. You will embed deeply with our largest and most complex customers to solve their hardest revenue workflows, and own the outcome end to end.

You will work alongside implementation and core engineering after the deal is won: map a customer’s ERP, collections, cash application, deductions, disputes, and agent/operational constraints; you augment and improve integrations and agentic workflows that make Monk indispensable; and stay close through launch, iteration, and scale.

You will move from messy financial operations to a production-grade system quickly and turn what you learn into reusable product capabilities, deployment patterns, and tooling for the next 1000 customers.

In this role you will

Own the outcome. Lead technical discovery through launch for complex customers. Define the real workflow, success metrics, integration plan, and path to measurable cash impact—not merely a configuration checklist.

Build where the customer’s reality lives. Ship production-grade integrations, internal tools, and agentic workflows across ERPs, payment systems, CRM, and finance operations. Go from first working version to reliable production software.

Make agents trustworthy. Design, test, debug, and improve agent behavior across real AR edge cases: collections, cash application, deductions, disputes, approvals, and escalation. Own observability, reliability, and human-in-the-loop controls.

Scale use cases. Build for prospect's real workflows in accounts receivable: collections, cash app, deductions, disputes, integration systems. Showcase exactly how Monk fits in their days. Then build systems around it.

Be the customer’s technical partner. Work directly with finance, operations, IT, and engineering leaders. Explain tradeoffs plainly, earn trust through execution, and transfer ownership so customers can operate confidently after launch.

Who you are

3+ years shipping production full-stack products. This is an engineering role.

Deep full-stack TypeScript fluency

Experience with integrations, APIs, webhooks, queues/workflows, and debugging distributed production systems.

Built AI-native systems in production—or have unusually strong instincts for evaluation, failure modes, tracing, latency/cost tradeoffs, and safe iteration.

Comfortable moving between a customer’s finance workflow and Monk’s stack: Next.js/React, Hono services, Postgres, Redis/BullMQ, Restate workflows, AI SDK/OpenAI, and MCP-based tooling.

Customer-centric. You anticipate customers’ needs and position our product capabilities accordingly.

Owner. You figure out what needs to exist and build it autonomously.

AI-native. You leverage it to do all aspects of your work.

Comfortable with ambiguity and non-deterministic systems. Unafraid to build and iterate on high-stakes agentic products.

Excited to build in person in Flatiron, NYC

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