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Monk

AI-powered accounts receivable platform automating invoicing

Backend Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 4 years of experience building and operating production backend systems.
  • Deep expertise in at least one area and broad engineering capability, using TypeScript and Node.
  • Strong experience with Postgres, Amazon Web Services, data pipelines, and observability.
  • Ability to evaluate architectural tradeoffs and determine when systems should be rebuilt rather than patched.
  • Ability to use artificial intelligence effectively while exercising judgment about when not to use it.
  • Ability to take ownership of infrastructure problems and implement fixes that prevent recurrence.
  • Ability and willingness to work in person in Flatiron, New York City.

Responsibilities

  • Design and ship the applied-layer core agent infrastructure powering Monk’s agentic products.
  • Build and maintain enduring financial architecture designed for agents.
  • Manage, evolve, and extend the architecture and design to support thousands of business-to-business payment use cases.
  • Build and own monitoring, alerting, and incident response for reliability at scale.
  • Deliver changes that help customers daily and default to action.

Desired Qualifications

  • Experience with fintech or payments data systems.
  • Experience building backend infrastructure for large language model or agent products.
  • Experience as a founding or early backend hire.

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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