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OpenAI's Monetization team is building foundational systems for next-generation ads experiences that scale access to intelligence responsibly. The team operates in a greenfield environment, moving quickly through prototyping, experimentation, and iterative deployment, partnering closely across Product, Design, and Research.
You will lead the design and development of systems that transform advertiser feeds (retail, travel, etc.) into relevant, reliably delivered ads. This foundational role spans the full ads lifecycle: ingesting and organizing retailer or travel catalogs into efficient retrieval systems, supporting ranking models, and serving ads at scale.
Key responsibilities include:
- Design and build pipelines that ingest, validate, normalize, and refresh merchant product feeds, maintaining catalog accuracy and availability for serving
- Develop scalable catalog storage and indexing systems that make large inventories searchable and reflect changes in product availability, pricing, and attributes
- Build search and retrieval systems that efficiently identify relevant, eligible products across merchant catalogs
- Partner with Ads ML to connect product retrieval with ranking models through dependable interfaces, features, and serving infrastructure
- Engineer low-latency, high-throughput ads delivery systems with strong reliability and correctness guarantees
- Design real-time event pipelines and distributed storage supporting catalog freshness, serving decisions, and downstream feedback
- Build observability and quality controls to detect feed errors, stale inventory, indexing delays, and serving issues
- Define technical direction and drive complex projects from early prototypes through production deployment and operation
- Operate systems with high engineering rigor through testing, monitoring, privacy and security reviews, and strong operational practices
You will independently own complex systems, make sound technical tradeoffs, and help define the architecture and roadmap for Shopping/Travel/Feed Ads. You will collaborate closely with Ads ML, Ads Delivery, Product, Design, and Research to connect accurate, fresh advertiser feed information with useful ads experiences in ChatGPT.
REQUIREMENTS:
- Extensive experience building and operating large-scale distributed systems, with direct ownership of product ads retrieval, ranking infrastructure, or delivery
- Understanding of merchant feeds and shopping systems, including how catalog quality, product availability, and freshness affect relevance and ads performance
- Experience building systems for shopping or product ads at platforms such as Google Shopping, YouTube, Amazon, or comparable environments
- Alternatively, Senior Staff-level scope or above, leading the architecture and delivery of large-scale catalogs, search and indexing platforms, ads serving, or related backend systems
- Experience building low-latency, high-throughput services and data pipelines with demanding reliability and correctness requirements
- Ability to reason across ingestion, storage, indexing, retrieval, ranking, and serving, making thoughtful tradeoffs between freshness, relevance, latency, and cost
- Comfort partnering with machine-learning teams to bring ranking models and signals into dependable production systems
- Ability to define technical direction in ambiguous 0→1 environments and independently drive complex work across teams
- Clear communication and technical decision-making grounded in user value, merchant experience, and long-term system health
