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.
This role is based in San Francisco and Mountain View. We offer relocation assistance to new employees.
IN THIS ROLE, YOU WILL
Design and build pipelines that ingest, validate, normalize, and refresh merchant product feeds, keeping catalog information accurate and available 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 that support 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 MIGHT THRIVE IN THIS ROLE IF YOU
Have extensive experience building and operating large-scale distributed systems, with direct ownership of product ads retrieval, ranking infrastructure, or delivery.
Understand merchant feeds and shopping systems, including how catalog quality, product availability, and freshness affect relevance and ads performance.
Have built systems for shopping or product ads at platforms such as Google Shopping, YouTube, Amazon, or a comparable environment.
Alternatively, have operated at 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.
Have built low-latency, high-throughput services and data pipelines with demanding reliability and correctness requirements.
Can reason across ingestion, storage, indexing, retrieval, ranking, and serving, and make thoughtful tradeoffs between freshness, relevance, latency, and cost.
Are comfortable partnering with machine-learning teams to bring ranking models and signals into dependable production systems.
Can define technical direction in an ambiguous 0→1 environment and independently drive complex work across teams.
Communicate clearly and make technical decisions grounded in user value, merchant experience, and long-term system health.
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 https://cdn.openai.com/policies/eeo-policy-statement.pdf.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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.
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