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Credit And Collections Lead

openai

Híbrido San Francisco
Finance

Job Score

90 pts
Hybrid model (+80) Finance (+10)

About the Team

OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission.

The Order to Cash (OTC) team oversees the complete flow of commercial transactions from order intake and provisioning through billing, collections, and cash application — ensuring accuracy, compliance, and operational excellence in support of OpenAI’s mission to ensure artificial general intelligence benefits all of humanity.

About the Role

We are seeking an experienced Credit & Collections Lead to help scale OpenAI’s global accounts receivable, credit risk, and collections operations as our commercial business and customer base continue to grow.

In this role, you will own the strategy and execution framework for customer credit reviews, collections performance, receivables recovery, and complex AR escalations. You will help OpenAI extend credit responsibly, improve cash-flow predictability, reduce aging and bad-debt exposure, and maintain a high-quality customer experience across a diverse and rapidly evolving customer portfolio.

This role will have a strong AI, automation, and process-transformation mandate. You will help define how AI and modern tooling can improve risk identification, account prioritization, customer outreach, dispute resolution, reporting, and exception management. You will partner closely with Finance Systems, Product, Engineering, and operational teams to translate these opportunities into scalable workflows that reduce manual effort while maintaining strong judgment, controls, and customer experience.

You will also work closely with Billing Operations, Cash Application, Sales, Deal Desk, Customer Success, Legal, Accounting, and other cross-functional partners to resolve complex issues and strengthen the end-to-end receivables lifecycle. This is an opportunity to help build a more intelligent, automated, and scalable credit and collections operating model at OpenAI.

This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

In this role, you will:

  • 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.

You might thrive in this role if you have:

  • 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.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Sobre a área Financeira

A área Financeira em empresas de tecnologia combina conhecimento tradicional de finanças com ferramentas digitais avançadas. Profissionais de FP&A, controlling e finanças corporativas são essenciais para a saúde financeira da organização.

As principais habilidades incluem modelagem financeira, análise de indicadores (MRR, ARR, LTV, CAC), ERP (SAP, Oracle) e ferramentas de BI. Certificações como CFA e CPA-20 são diferenciais.

O setor financeiro oferece oportunidades estáveis com salários competitivos, especialmente em fintechs e grandes empresas de tecnologia.

Guias de Carreira

Guia de Carreira em Tecnologia

Planejamento, habilidades, entrevistas e crescimento profissional em TI, Ciência de Dados, DevOps e Produto.

Ler guia completo →

Guia de Carreira em Design

UX/UI, Design Gráfico, Design de Produto. Portfólio, ferramentas, entrevistas e crescimento na área de Design.

Ler guia completo →

Guia de Carreira em Marketing

SEO, Mídia Paga, Growth, Marketing de Conteúdo. Certificações, ferramentas e estratégias para crescer no Marketing Digital.

Ler guia completo →

Guia de Carreira em Finanças

Mercado financeiro, investimentos, finanças corporativas, certificações e estratégias para crescer na área financeira.

Ler guia completo →

Guia de Carreira em Comunicacao

Jornalismo, RP, Comunicacao Corporativa, Marketing de Conteudo e Producao Multimidia.

Ler guia completo →

Guia de Carreira em Administracao

Gestao de Empresas, RH, Logistica, Consultoria, Gestao de Projetos e Empreendedorismo.

Ler guia completo →

Guia de Carreira em Dados

Ciencia de Dados, Engenharia de Dados, BI, Machine Learning e IA. Da formacao ao mercado.

Ler guia completo →

Guia de Carreira em Produto

Product Management, Product Ownership, Agile, Scrum e OKRs. Da estrategia a execucao.

Ler guia completo →

Dica do Especialista

Como Vencer os Robôs e Atrair Recrutadores

A Morte do Currículo "Criativo"

Se você passou as últimas horas alinhando colunas coloridas, inserindo gráficos de pizza para suas habilidades ou adicionando ícones elaborados no seu currículo, pare agora. No mercado atual de tecnologia, design e marketing digital, a criatividade visual no currículo é, ironicamente, o caminho mais rápido para a rejeição automática.

A realidade do recrutamento moderno, especialmente para vagas remotas internacionais que pagam em dólar, é dominada pelos ATS (Applicant Tracking Systems) — robôs de triagem como Greenhouse, Ashby e Workday. Eles não leem design; eles leem texto estruturado.

O Melhor Formato: O Padrão "Harvard" (Coluna Única)

O melhor formato de currículo hoje é o cronológico reverso em coluna única, com tipografia limpa (como Arial, Calibri ou Helvetica) e fundo branco. Este formato, popularizado pelas escolas de negócios de elite, como Harvard, garante 100% de legibilidade tanto para robôs quanto para humanos.

Por que a coluna única vence?

  • Leitura Linear dos ATS: Sistemas automatizados leem da esquerda para a direita, de cima para baixo. Currículos em duas colunas misturam as informações na hora da extração de dados, fazendo com que o seu cargo atual seja lido junto com o seu hobby, quebrando o algoritmo.
  • O Teste dos 7 Segundos: Um estudo de rastreamento ocular (Eye-Tracking) da Ladders comprovou que recrutadores passam, em média, apenas 7,4 segundos olhando para um currículo antes de tomar uma decisão. Um layout limpo guia o olho diretamente para suas conquistas.

O Segredo do Conteúdo: A Fórmula XYZ do Google

Ter o formato certo não basta se o seu texto parecer a descrição de um manual de instruções. Recrutadores não querem saber o que você "tinha que fazer" (suas responsabilidades); eles querem saber o que você entregou (suas conquistas e impacto).

"Realizei [X], medido por [Y], fazendo [Z]."
— Laszlo Bock, ex-Vice-Presidente de Operações Populares (RH) do Google.

Veja a diferença prática na aplicação desta regra:

❌ O que não fazer (Foco em Tarefa):
"Responsável por otimizar o banco de dados da empresa e gerenciar a equipe."
✅ O que fazer (Foco em Impacto - Fórmula XYZ):
"Reduzi o tempo de carregamento da plataforma em 40% (Y) ao reestruturar as consultas SQL e implementar índices no banco de dados (Z), resultando em um aumento de 15% na retenção de usuários (X)."

Anatomia de um Currículo à Prova de Falhas

Para garantir que o seu perfil chegue às mãos do gestor da vaga, estruture o seu documento (sempre salvo em formato PDF) com as seguintes seções:

  1. Cabeçalho Simples: Nome, telefone, e-mail e URL do LinkedIn/Portfólio. (Exclua foto, idade e estado civil).
  2. Resumo Profissional (Opcional, mas recomendado): 3 linhas no máximo focadas na sua especialidade e maior entrega.
  3. Experiência Profissional: A seção mais importante. Liste empresas, cargos, meses e anos de entrada/saída. Use de 3 a 5 bullet points por cargo com a fórmula XYZ.
  4. Habilidades (Keywords): Uma lista separada por vírgulas contendo as tecnologias, frameworks e metodologias que você domina (Ex: React, Node.js, Agile, Figma, SEO, Python). É aqui que o ATS dá o "match" com a vaga.
  5. Educação: Faculdade ou cursos de peso, de forma breve.

Dica de Ouro Mondywork

Nunca envie o mesmo currículo para duas vagas diferentes. Use a descrição da vaga como seu "gabarito". Se a empresa pede "conhecimento avançado em metodologias ágeis", garanta que a exata palavra-chave "Metodologias Ágeis" esteja nas suas habilidades, e não um sinônimo distante.

Quer testar o seu novo currículo nas melhores vagas remotas globais? Acesse diariamente as oportunidades curadas na Mondywork e candidate-se para posições que valorizam o seu verdadeiro impacto.