Engineering Manager, ChatGPT Search Infrastructure
San Francisco, CA - USA
Job Summary
About the Team
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
About the Role
We are looking for an Engineering Manager to lead the team responsible for ChatGPTs Search 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 ChatGPT 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 infrastructureeven 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.
In this role you will:
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 ChatGPTs 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.
You might thrive in this role if you:
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.
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.
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