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Monk

AI-powered accounts receivable platform automating invoicing

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 3 years of experience shipping production full-stack products.
  • Deep fluency in TypeScript across the full stack.
  • Experience with integrations, application programming interfaces, webhooks, queues and workflows, and debugging distributed production systems.
  • Experience building AI-native systems in production, or strong practical judgment around evaluation, failure modes, tracing, latency and cost tradeoffs, and safe iteration.
  • Ability to work between customer finance workflows and the Monk technology stack, including Next.js, React, Hono services, PostgreSQL, Redis, BullMQ, Restate workflows, AI SDK, OpenAI, and Model Context Protocol-based tooling.
  • Ability to anticipate customer needs and align product capabilities accordingly.
  • Ability to determine what needs to exist and build it autonomously.
  • Comfort working with ambiguity and nondeterministic systems.
  • Willingness to work in person in Flatiron, New York City.

Responsibilities

  • Lead technical discovery through launch for complex customers, defining workflows, success metrics, integration plans, and paths to measurable cash impact.
  • Build production-grade integrations, internal tools, and agentic workflows across enterprise resource planning systems, payment systems, customer relationship management systems, and finance operations.
  • Develop software from an initial working version through reliable production deployment.
  • Design, test, debug, and improve agent behavior across accounts-receivable edge cases, including collections, cash application, deductions, disputes, approvals, and escalations.
  • Own observability, reliability, and human-in-the-loop controls for agentic systems.
  • Build reusable systems for accounts-receivable workflows, including collections, cash application, deductions, disputes, and integration systems.
  • Work directly with finance, operations, information technology, and engineering leaders as the customer’s technical partner.
  • Explain technical tradeoffs clearly, earn customer trust through execution, and transfer ownership so customers can operate confidently after launch.
  • Turn customer learnings into reusable product capabilities, deployment patterns, and tooling for future customers.

Desired Qualifications

  • Interest in building at the frontier of applied artificial intelligence.
  • Founder-oriented ambition and interest in eventually starting a company.

About the Company

Monk

AI-powered accounts receivable platform automating invoicing

Monk offers an AI-native accounts receivable platform that automates the contract-to-cash workflow, including invoicing, payment reminders, and collections, and connects with ERP and accounting systems. It uses AI and machine learning to predict late payments, flag high-risk accounts, and prioritize collection efforts to reduce days sales outstanding and minimize bad debt. The system provides real-time cash flow insights, automated payment matching, and personalized dunning messages to speed up collections. Its target clients include SaaS companies and SMBs seeking better cash flow, more accurate forecasting, and frees finance teams to focus on strategic tasks.

Company size
11-50
Company stage
Series A
Total funding
$25M
Headquarters
New York City, New York
Founded
2024

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