Engineering Manager, ChatGPT Search Infrastructure

The ChatGPT Search Infrastructure team builds the foundational systems that power search experiences across ChatGPT. We develop the 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

• Define and drive the technical strategy, architecture, and roadmap for ChatGPT Search Infrastructure, spanning search orchestration, APIs, model and prompt integration, serving, experimentation, evaluation, observability, and product integrations.

• Lead and develop a team of experienced engineers, create meaningful ownership opportunities, and foster an inclusive, high-trust culture with clear accountability and high standards.

• Partner with Post-Training on model launches, A/B experiments, search-behavior evaluation, and prompt optimization, translating model improvements into production-ready product experiences.

• Build reusable platforms that enable Search product vertical teams to independently implement, test, and launch features, with automated guardrails that protect reliability, scalability, quality, and latency.

• Partner with Inference, Indexing, and Retrieval teams to evolve the end-to-end Search architecture, adapt serving optimizations, and improve product outcomes across the stack.

• Define and uphold service objectives of at least 99.9% availability, sub-second latency where required by the user experience, and the scalability needed to support ChatGPT's continued growth.

• Establish strong engineering practices across system design, testability, observability, experimentation, capacity planning, rollout safety, operational readiness, and incident prevention.

• Independently lead multiple complex workstreams, remove technical and organizational bottlenecks, and build alignment across product, research, and infrastructure teams in ambiguous and rapidly changing environments.

• Have experience managing senior engineers and leading teams responsible for complex, high-scale infrastructure, online serving, or distributed systems.

• Bring significant technical depth in backend infrastructure, platform engineering, APIs, low-latency serving, experimentation platforms, or AI-powered product development.

• Understand how models, prompts, inference systems, search orchestration, indexing, retrieval, and infrastructure work together to deliver an end-to-end user experience.

• Have partnered with research or Post-Training teams to launch models, run controlled experiments, evaluate model behavior, or optimize prompts in production.

• Have built shared platforms that allow other engineering teams to independently develop and launch features within well-defined reliability, scalability, quality, and performance guardrails.

• Have shaped the architecture of systems with demanding availability, latency, and scale requirements, with testability, observability, safe rollout, and operational excellence built in from the outset.

• Can move comfortably between technical depth, product strategy, organizational leadership, and people management while exercising strong judgment in ambiguous environments.

• Build strong cross-functional partnerships, empower experienced engineers to lead, and care deeply about developing people and creating an inclusive, sustainable team culture.