OpenAI
Software Engineer, Ads Monetization, Revenue Platform
About this role
OpenAI seeks a Software Engineer to design and build core monetization systems for ChatGPT Ads, managing high-scale, low-latency financial infrastructure that handles billing pipelines, data validation, and revenue reconciliation. This role bridges ads delivery, data engineering, and financial systems to ensure accurate, auditable money flows across the platform.
What you'll do
- Architect and develop monetization systems for ChatGPT Ads from event capture through billing outputs
- Build and operate services and pipelines for ads monetization, including metering, pricing, and aggregation
- Define data models, schemas, and invariants ensuring consistency and auditability across billing data
- Own correctness and reconciliation between production outputs and finance/invoicing requirements
- Develop billing integrations across ChatGPT and API customer platforms
- Collaborate with Ads Engineering, Data Science, Product, Finance, and GTM teams
What they're looking for
- Distributed systems design and development
- Software engineering (5+ years experience)
- Data engineering and pipeline development
- Financial systems and billing platforms
- System monitoring and reconciliation
- Cross-functional collaboration and communication
- Ability to operate in ambiguous environments
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OpenAI
OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.
View all jobs at OpenAILikely interview questions
- Walk us through your experience building distributed systems at scale. Can you describe a specific system you architected that had to handle high throughput and low latency requirements?
- Describe your experience with billing, metering, or financial systems. How have you ensured correctness and auditability in systems handling money flows?