# Credit and Collections Lead

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Finance & Accounting
**Salary:** $185k – $205k/yr
**Experience:** 10+ years
**Skills:** credit risk management, collections strategy, accounts receivable, dso management, dispute resolution, cash forecasting, AI Automation, process transformation, Cross-Functional Collaboration, policy development
**Posted:** 2026-07-30

> 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.

## Job Description

## 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.

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