The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

We are looking for a Director of Data Engineering and Agentic AI Automation to lead the next generation of our finance data infrastructure. As OpenAI expands its Finance operations, we need scalable and trustworthy data systems to match the pace and complexity of our growth. This includes well-modeled, auditable data for revenue recognition, financial reporting, and planning, supported by reliable pipelines that connect ERP, planning, and operational systems. You will lead a group of analytics engineers, data engineers, and AI engineers to build the data pipelines that connect our internal engineering systems with enterprise platforms such as Oracle Fusion ERP. This role will also define the roadmap for agentic AI automation, enabling intelligent workflows, process automation, and AI-driven decision-making across Finance.

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:

• Build and maintain scalable, auditable data infrastructure that powers accurate financial information, with a focus on revenue recognition, compute attribution, and close automation.

• Lead and grow teams of analytics engineers, data engineers, and AI engineers to deliver high-impact, intelligent data systems.

• Guide work across financial close and allocations automation, B2C revenue automation from engineering systems to ERP (including reconciliation with cash and source systems), and other mission-critical financial processes.

• Design and implement data pipelines connecting ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday.

• Build and support scalable, audit-proof architecture that enables reliable financial reporting and compliance.

• Develop data and AI-powered workflows that enhance forecasting accuracy, compliance automation, and operational efficiency.

• Create and maintain data marts and products that support stakeholders across Revenue, FP&A, Tax, Procurement, Hardware Accounting, and Controller teams.

• Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains.

• Set the technical direction and manage team structure, mentoring engineers and overseeing contractors or system integrators to ensure delivery of high-quality outcomes.

• Partner with senior leaders across Finance, Engineering, and Infrastructure to align on priorities and integrate new automation capabilities.

• Ensure data systems are AI-ready and capable of supporting predictive analytics, autonomous agent workflows, and large-scale automation.

• Own and maintain Tier-1 data pipelines with strict SLA, data quality, and compliance standards.

• Drive the long-term roadmap for agentic AI enablement to build the foundation for “Finance on OpenAI.”

You might thrive in this role if you have:

• 12+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets

• Proficiency in SQL and Python, with demonstrated experience in schema design, data modeling, and orchestration frameworks

• Expertise in distributed data processing technologies such as Apache Spark, Kafka, and cloud-native storage (e.g., S3, ADLS)

• Deep knowledge of enterprise data architecture, especially within Finance and Supply Chain

• Familiarity with financial processes (close, allocations, revenue recognition) and supply chain data models (Supply and demand planning, procurement, vendor master), along with experience in ingesting data from internal engineering systems with large volumes of B2C

• Experience integrating with contract manufacturers and external logistics providers is a strong plus

• Strong track record of partnering with senior business stakeholders and translating complex requirements into scalable technical solutions

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.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

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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.

Compensation Range: $405K - $490K