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Monk

AI-powered accounts receivable platform automating invoicing

Solutions Architect

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Experience in solutions architecture, solutions consulting, solutions engineering, or enterprise software implementation, with ownership of complex customer engagements.
  • Confidence working with finance leaders, operators, IT, and engineering teams.
  • Ability to translate enterprise workflows into practical solution designs, proofs of concept, and implementation plans.
  • Working knowledge of application programming interfaces, data flows, authentication, permissions, and integrations; ability to read documentation, investigate data issues, and work through technical decisions with engineers.
  • Strong written and verbal communication; ability to make requirements, tradeoffs, decisions, and next steps easy to understand.
  • Commercial judgment to connect product capabilities to business value and set deliverable expectations.
  • High agency and follow-through, including finding missing information, resolving ambiguity, and keeping work moving.
  • Daily use of AI tools and ability to automate work.

Responsibilities

  • Map customer accounts receivable workflows, systems, data, business rules, and exceptions, and identify where agents can reduce manual work and accelerate payment.
  • Define how Monk connects with enterprise resource planning systems, accounting platforms, payment providers, inboxes, files, and application programming interfaces; define permissible agent actions, permissions, approval rules, and human handoffs.
  • Use representative customer workflows and data to prove the solution works, agree on success criteria, and connect results to business value.
  • Qualify opportunities with go-to-market, lead technical conversations, and resolve blockers early; be precise about current capabilities and required work.
  • Turn discovery into clear requirements, integration plans, acceptance criteria, and responsibilities; work with Engineering and Customer Experience through launch and handoff.
  • Bring recurring customer needs to Product and Engineering with concrete examples, business impact, and proposed solutions.
  • Build reusable proof-of-concept environments, agent workflow designs, integration guides, and implementation playbooks.
  • Validate agentic collections workflows by building proofs of concept for overdue accounts, reviewing account history, prioritizing follow-ups, drafting contextual outreach, routing disputes or payment commitments, defining approval rules, and measuring manual work saved.
  • Design agents that resolve payment blockers by mapping invoice requests, missing purchase orders, supporting documents, and buyer portal requirements, and building enterprise workflow proofs of concept with necessary integrations, permissions, and human handoffs.
  • Scope agentic cash application workflows by tracing remittance emails, payment notifications, bank transactions, and open invoices, and building proofs of concept that investigate potential matches and propose allocations with finance approval for ambiguous cases.

Desired Qualifications

  • Experience with accounts receivable, accounting, billing, payments, or enterprise resource planning systems.
  • Experience deploying AI workflows for customers, including defining evaluations, human review, exception handling, and success criteria.
  • Comfort with SQL, data modeling, or lightweight scripting.
  • Experience at an early-stage company helping define how customers were sold, onboarded, and supported.

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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