Credit and Collections Lead

OpenAI OpenAI · AI Frontier · San Francisco, CA · Finance

This role is for a Credit and Collections Lead at OpenAI who will scale global accounts receivable, credit risk, and collections operations. The role has a strong mandate to leverage AI and automation to improve risk identification, account prioritization, customer outreach, dispute resolution, reporting, and exception management, ultimately building a more intelligent and scalable credit and collections operating model. The lead will define and execute the AI and automation roadmap for credit and collections, partnering with Finance Systems, Product, and Engineering teams.

What you'd actually do

  1. Set the strategic direction for OpenAI’s credit and collections function, including portfolio management, aging reviews, cash forecasting, collections prioritization, and customer-risk monitoring.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • 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.

What the JD emphasized

  • AI and automation mandate
  • AI and modern tooling can improve risk identification, account prioritization, customer outreach, dispute resolution, reporting, and exception management
  • build a more intelligent, automated, and scalable credit and collections operating model
  • Define and execute the AI and automation roadmap for credit and collections
  • AI-enabled workflows to improve prioritization, efficiency, coverage, or decision quality