The posting, in OpenAI's own words
archived Sep 9, 2026About the Team
The ChatGPT Search Product Infrastructure team builds the foundational systems that power search experiences across ChatGPT. We develop the product infrastructure that connects models with search systems and other sources of real-time information, enabling ChatGPT to deliver timely, relevant, and trustworthy answers to users around the world. Our work sits at the intersection of product engineering, AI, and large-scale infrastructure. We build shared platforms and abstractions that enable product teams to independently develop, evaluate, and launch new search-powered experiences. These platforms provide the guardrails, testing capabilities, observability, and rollout controls needed to prevent reliability, scalability, quality, and latency regressions while supporting rapid product iteration.
The team partners closely with:
Post-Training on model launches, experimentation, and prompt optimization Search product verticals on new user experiences Inference on GPU efficiencies Indexing and Retrieval on the systems that identify and deliver relevant information Capacity/Fleet team to ensure optimal regionalized provisioning of GPUs and CPUs
Read the full posting ↓
About the Role
We are looking for an Engineering Manager to lead the team responsible for ChatGPT’s Search Product Infrastructure. You will set the technical and organizational direction for the systems that bring search capabilities into ChatGPT. You will guide architectural decisions across search orchestration, model and prompt integration, serving infrastructure, experimentation, observability, evaluation, and product integrations. You will balance immediate launch and product needs with the long-term reliability, scalability, latency, and maintainability of the platform. A central responsibility of this role is creating leverage for Search product verticals. You will lead the development of extensible platforms that allow those teams to independently build, test, and launch features without requiring ongoing involvement from the core infrastructure team. These platforms must include strong interfaces and automated guardrails that enable fast iteration while protecting the reliability, scalability, latency, and quality of Search. This role requires technical depth across the full Search stack and the ability to understand and influence systems owned by partner teams. You will be expected to develop a coherent technical direction across model behavior, inference, search orchestration, indexing, retrieval, experimentation, and product infrastructure—even when execution spans multiple organizational boundaries. You will lead multiple complex workstreams, empower experienced engineers to own major technical areas, and partner with product, research, Post-Training, Search Quality, Inference, Indexing, Retrieval, and infrastructure teams to translate emerging model and search capabilities into reliable experiences operating at global scale.