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Credit and Collections Lead

185k – 205kSan Francisco, CAFinance & AccountingHybrid10+ YOE
Summary

Lead OpenAI’s global credit and collections operations, owning credit risk frameworks, collections performance, and AI-driven automation to improve cash flow and reduce bad debt. Requires 10+ years in credit/collections with enterprise customer experience.

About the role

Responsibilities

  • Set the strategic direction for OpenAI’s credit and collections function, including portfolio management, aging reviews, cash forecasting, collections prioritization, and customer-risk monitoring.
  • Own and continuously improve the credit-risk framework for new and existing customers, including credit reviews, risk assessments, credit limits, payment terms, exception management, and escalation criteria.
  • Drive collections performance across OpenAI’s global receivables portfolio, with a focus on improving cash collections, reducing aging, optimizing DSO, and minimizing bad-debt exposure.
  • Lead resolution of complex and high-value customer escalations, including overdue balances, billing disputes, payment delays, payment plans, service-suspension decisions, and other material receivables matters.
  • Define and execute the AI and automation roadmap for credit and collections, including intelligent account prioritization, risk detection, customer-outreach support, dispute routing, reporting, and exception management.
  • Partner with Finance Systems, Product, Engineering, and internal tooling teams to design and operationalize workflows that improve efficiency, accuracy, and decision quality.
  • Partner closely with Onboarding, Sales, Deal Desk, Legal, Accounting, Billing Operations, and Cash Application teams to coordinate customer onboarding, resolve issues, support risk-informed commercial decisions, and oversee AR case queue administration tasks including queue hygiene, triage, assignment, SLA monitoring, and escalation routing.
  • Develop and refine credit and collections policies, playbooks, approval frameworks, escalation paths, SOPs, and internal controls, with automation embedded by design.
  • Support reserve and write-off recommendations, month-end close, audit requests, and control testing to ensure receivables processes are accurate, well documented, and audit-ready.
  • Develop reporting and operating routines that provide visibility into AR aging, DSO, cash collections, credit-risk exposure, disputes, unapplied cash, reserves, write-offs, and automation coverage while driving accountability across internal teams and external partners.

Requirements

  • 10+ years of experience in credit, collections, accounts receivable, or broader Order to Cash operations, with a track record of improving performance in a complex, high-growth environment.
  • Strong understanding of commercial credit risk, collections strategy, AR aging, DSO management, reserves, write-offs, dispute resolution, and cash application processes.
  • Experience developing or refining credit policies, payment-term guidelines, escalation frameworks, and approval processes for new and existing customers.
  • Demonstrated ability to manage complex and high-value customer escalations while balancing financial risk, commercial priorities, and customer experience.
  • Experience supporting enterprise customers and multiple revenue models, including subscription, usage-based, or hybrid billing arrangements.
  • A track record of using data, automation, and AI-enabled workflows to improve prioritization, efficiency, coverage, or decision quality across credit and collections processes.
  • Experience partnering cross-functionally with Sales, Deal Desk, Customer Success, Legal, Accounting, Billing Operations, Finance Systems, and technical teams.
  • Strong analytical, communication, and leadership skills, with the ability to influence senior stakeholders, guide internal and external teams, and translate AR trends into clear recommendations and actions.
Skills
Credit Risk ManagementCollections StrategyAccounts ReceivableDSO ManagementDispute ResolutionCash ForecastingAI AutomationProcess TransformationCross-functional CollaborationPolicy Development
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