About the Team
The Financial Engineering team at OpenAI is responsible for building the billing infrastructure and data foundation that powers pricing, subscriptions, and revenue analytics across all of OpenAI’s products. This team collaborates cross-functionally with Finance, Accounting, Product, and Engineering to ensure accurate and scalable financial data systems. As OpenAI expands its commercial footprint, the demand for trustworthy and audit-ready financial data grows in tandem—this is where you come in.
About the Role
We’re looking for a data engineer to join our Data Engineering group and lead the development of core financial data pipelines and models. This role is focused on building trustworthy, granular datasets that support billing systems, product pricing, financial reconciliations, and business-critical metrics like revenue and bookings. You will serve as a foundational partner to the Finance, Accounting, and Product teams by ensuring data completeness, auditability, and alignment with financial reporting standards.
This role requires a strong background in data engineering, plus experience working with financial systems, billing workflows, or reporting infrastructures. You’ll help us reimagine and build data pipelines across a modern, multi-vendor billing stack while maintaining precision and compliance at scale.
In this role, you will:
Build robust data pipelines and ETL workflows that integrate data from internal billing systems and third-party vendors (e.g., payment processors), transforming raw events into structured, finance-grade datasets.
Develop unified offline billing models to support product analytics, cash flow tracking, and financial performance reporting.
Design and evolve schemas that power internal tools and external integrations, ensuring compatibility with accounting and compliance requirements.
Implement validation and reconciliation frameworks to guarantee consistency between internal systems and external platforms (e.g., invoice data vs. processed payments).
Partner closely with Finance and Accounting teams to produce reliable data inputs for month-end close, revenue analytics, and key financial metrics like ARR.
Support pricing analytics by delivering clean datasets that link compute usage, product configurations, and customer billing.
Drive alignment across engineering, data science, and finance to ensure that internal billing pipelines support future needs around audits, SOX compliance, and multi-processor support.
You might thrive in this role if you:
Have 8+ years of experience in data engineering, including hands-on work in financial data environments (e.g., billing, ERP, payments, or accounting systems).
Have worked with financial data that feeds into downstream systems like Netsuite, Stripe, or other billing and finance tools.
Are comfortable building pipelines using tools like Airflow, Spark, or DBT, and writing clean, testable SQL and Python code.
Have a deep appreciation for data modeling, data correctness, integrity, and traceability, especially in regulated environments.
Understand common patterns in financial reconciliation, anomaly detection, and structured data modeling.
Enjoy partnering with Finance and Engineering stakeholders to translate operational requirements into clean, auditable datasets.
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.
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.
