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Senior Manager, Financial Risk Management

openai

Híbrido San Francisco
Finance

Job Score

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

About the Team

The Internal Controls function sits within the broader Finance Risk Management (FRM) organization and plays a key role in strengthening the integrity, scalability, and reliability of OpenAI’s finance-critical operations.

Our team designs and governs control frameworks that support accurate, transparent financial results and responsible business execution. We focus on business-process and operational controls across areas such as payments, equity, procure-to-pay, payroll and HR processes, strategic investments, M&A, financial close, third-party dependencies, systems, and other high-risk workflows. We work closely with Controllership, Procurement, Legal, People, Corporate Development, Strategic Finance, Finance Systems, Compliance, and business operators to ensure processes are well-designed, well-documented, and audit-ready.

As part of FRM, we contribute to OpenAI’s overall financial risk posture by supporting audit readiness, third-party risk considerations, operational risk governance, systems oversight, and ongoing process improvement across the finance ecosystem. Together, we help build the foundation of trust and operational clarity needed for OpenAI to scale responsibly.

About the Role

We’re seeking a Senior Manager, Financial Risk Management to help shape and scale OpenAI’s risk and controls framework across several dynamic business domains. This role will focus on identifying, prioritizing, and mitigating operational and financial risk across areas such as payments, equity, strategic investments, procurement, people processes, systems, third-party dependencies, and other finance-critical workflows.

This person will serve as a senior cross-functional partner to Finance, Controllership, Legal, People, Procurement, Corporate Development, Payments, Systems, and business operators to design and implement controls that are practical, scalable, and capable of holding up in a fast-changing environment with limited structure. The role requires someone with strong technical controls depth who can move fluidly between risk assessment, control design, program governance, and operational execution — translating ambiguous process risk into clear actions teams can adopt.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

  • Lead risk and controls support across multiple finance-critical business domains, with a focus on building scalable foundations in a rapidly developing environment.

  • Assess risks across payments, equity, procurement flows, strategic investments, people processes and related systems.

  • Identify where the control environment is weakest or most exposed, and prioritize the highest-risk areas for remediation, control design, governance, or monitoring support.

  • Partner with operational, business, finance, legal, people, procurement, corporate development, and technical teams to design controls that are effective in practice and integrated into day-to-day workflows.

  • Translate risks into clear operational requirements, including ownership models, approval points, control objectives, monitoring expectations, reconciliations, evidence needs, system dependencies, and escalation paths.

  • Drive cross-functional remediation efforts where processes are unclear, fragmented, overly manual, inconsistently documented, or dependent on immature systems/data.

  • Help teams balance speed and control by implementing fit-for-purpose guardrails that support execution, preserve accountability, and avoid unnecessary friction.

  • Support new or changing processes, systems, deals, vendors, payment flows, and operating models by ensuring risk, control, governance, and evidence considerations are addressed upfront.

  • Contribute to broader ICFR/SOX and operational risk readiness efforts by strengthening control design, documentation, testing readiness, issue management, and leadership visibility across high-impact processes.

You might thrive in this role if you have:

  • 10+ years of experience in financial risk management, operational risk, internal controls, SOX/ICFR, internal audit, controllership, finance transformation, or related risk/control roles.

  • Experience working with at least some domains such as payments, procurement, strategic investments, M&A integration, HR/people processes, financial close, controllership, third-party risk, or other operational business processes.

  • Strong judgment on how to design the right level of control in a fast-scaling company, including where lightweight guardrails are sufficient, where formal ICFR/SOX controls are required, and where automation or monitoring is the better answer.

  • Experience working in environments with evolving systems, incomplete process structure, unclear ownership, or fragmented data — and bringing order without over-engineering.

  • Demonstrated ability to partner effectively with operational, finance, legal, people, procurement, corporate development, and technical teams, including stakeholders who may initially view controls as slowing them down.

  • Strong ability to translate broad risks into actionable controls, RCMs, narratives, operating requirements, quality gates, KRIs, dashboards, and remediation plans.

  • Deep familiarity with core controls concepts, including preventive vs. detective controls, manual vs. automated controls, IT-dependent controls, monitoring mechanisms, evidence expectations, testing readiness, and deficiency evaluation.

  • Strong communication, organization, and stakeholder management skills.

  • ERP, GRC, procurement, payments, HRIS, investment, M&A integration, workflow, or data platform experience is a plus.

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.

Dica do Especialista

Por que IA e Dados são a Nova Moeda do Mercado

Historicamente, o departamento financeiro de uma empresa operava olhando pelo espelho retrovisor. O trabalho consistia em fechar o mês, consolidar planilhas, reconciliar contas e relatar aos acionistas o que havia acontecido. Em 2026, esse modelo não apenas envelheceu, ele se tornou um risco estrutural para qualquer negócio. A nova exigência do mercado não é a documentação do passado, mas a predição cirúrgica do futuro.

A união entre Inteligência Artificial (IA) e Ciência de Dados criou o que o mercado hoje chama de "Profissional de Finanças Aumentado" (Augmented Finance Professional). Profissionais que não dominam essas ferramentas estão sendo rapidamente rebaixados a funções operacionais de baixo valor, enquanto os fluentes em dados assumem as cadeiras de tomada de decisão (C-Level).

1. De Historiador a Estrategista de Negócios

O FP&A (Financial Planning & Analysis) sofreu a maior revolução desde a criação do Excel. Até poucos anos atrás, criar cenários de planejamento exigia semanas de compilação manual. Hoje, modelos de Machine Learning ingerem terabytes de dados não-financeiros — clima, sentimento em redes sociais, cadeias de suprimentos globais, flutuações cambiais em tempo real — para criar previsões de receita altamente precisas em segundos.

O profissional de finanças moderno precisa saber fazer as perguntas certas à máquina (Engenharia de Prompts) e validar a integridade dos dados (Data Governance). O valor do humano não está em construir o gráfico, mas em traduzir os insights algorítmicos em estratégia de alocação de capital.

2. IA Generativa: O Fim do "Trabalho Braçal" Financeiro

Com a maturidade de Modelos de Linguagem de Larga Escala (LLMs) especializados em finanças (como os derivados do BloombergGPT e soluções fechadas da Microsoft e OpenAI), a elaboração de relatórios narrativos de desempenho e a análise de contratos complexos foram automatizadas.

"A Inteligência Artificial não vai substituir o CFO. Mas o CFO que utiliza IA certamente substituirá aquele que se recusa a adotá-la."

Ferramentas de IA generativa em 2026 já são capazes de ler o balanço patrimonial, compará-lo com as metas trimestrais e gerar a primeira versão do DRE (Demonstrativo de Resultados) comentado, com alertas de anomalias, liberando o analista para investigar por que as variações ocorreram, em vez de perder tempo descrevendo-as.

O Stack Tecnológico do Profissional Financeiro em 2026

Saber Excel avançado e VBA já é considerado pré-requisito básico, não um diferencial. O mercado hoje exige:

  • SQL & Python: Para extração e manipulação de bases de dados massivas que o Excel não suporta.
  • Data Storytelling (Power BI / Tableau): A capacidade de transformar números densos em narrativas visuais acionáveis para o conselho de administração.
  • Automação (RPA): Implementação de robôs para fechamento contábil e reconciliação automática.
  • Fluência em IA: Entendimento prático de modelos preditivos e uso de "Copilotos" financeiros (IA Generativa) com segurança de dados corporativos.

3. Auditoria Contínua e Detecção de Fraudes

O modelo tradicional de auditoria por amostragem (onde auditores analisam 5% das transações para inferir a saúde de 100%) tornou-se obsoleto. O profissional moderno utiliza algoritmos de detecção de anomalias que auditam 100% das transações em tempo real.

Modelos de IA aprendem os padrões de gastos da empresa e bloqueiam faturas duplicadas, pagamentos suspeitos a fornecedores e desvios de compliance antes mesmo que o dinheiro saia do caixa. Isso transformou a gestão de risco: de uma investigação post-mortem para uma barreira preventiva ativa.

Conclusão

A transição para um ambiente financeiro movido a IA e Dados não é uma ameaça aos empregos na área, mas uma oportunidade de elevação intelectual da profissão. O contador, o analista e o diretor financeiro de 2026 são, na verdade, cientistas de dados aplicados a negócios. Investir na alfabetização de dados (data literacy) deixou de ser uma vantagem competitiva para se tornar o passaporte mínimo de entrada nas corporações de alto nível.

Conteúdo focado em Desenvolvimento Profissional e Transformação Digital.