OpenAI is looking to solve the problem of building scalable and trustworthy data systems to match the pace and complexity of its growth in finance operations, including revenue recognition, financial reporting, and planning.
Requirements
- 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
Responsibilities
- 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.
Other
- 12+ years of experience
- Strong track record of partnering with senior business stakeholders
- Ability to work in a hybrid work model of 3 days in the office per week
- Relocation assistance to new employees
- Commitment to providing reasonable accommodations to applicants with disabilities
