Engineering Manager, Chatgpt Search Infrastructure
openai
Job Score
90 ptsAbout 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 ChatGPT’s 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 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.
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 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.
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.
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.
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.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About Engineering
Software Engineering goes beyond traditional development, focusing on scalability, performance, and system architecture. Software engineers are responsible for designing infrastructures that support millions of simultaneous users.
Skills include microservices architecture, DevOps, cloud computing, application security, and performance optimization. Knowledge of containerization (Docker, Kubernetes) and CI/CD is increasingly required.
Senior software engineers are rare and highly compensated professionals, with opportunities at major global tech companies.
About Artificial Intelligence
Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.
Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.
AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Administrative
The Administrative area is responsible for ensuring the efficient functioning of all organizational operations. Administrative professionals manage processes, human resources, procurement, and facility management.
Key skills include process management, Office 365, administrative ERPs, compliance, and people management. Knowledge of automation and AI tools is becoming increasingly relevant.
The digitization of administrative processes has created new opportunities for professionals who master technology and management.
About Information Security
The Information Security area is one of the most strategic and in-demand fields in the technology market. With the rise of cyberattacks, data breaches, and regulations like LGPD and GDPR, companies of all sizes invest heavily in professionals who can protect their digital assets.
Key specializations include Network Security, Cloud Security (AWS, Azure, GCP), Offensive Security (Penetration Testing, Red Team), Defensive Security (SOC, Blue Team), AppSec, and Security Governance. Tools like SIEM (Splunk, QRadar), firewalls, EDR, and Vulnerability Management platforms are essential.
Certifications like CISSP, CEH, OSCP, CompTIA Security+, and AWS Security Specialty are important differentiators. Information security professionals are among the highest-paid in the sector, with growing demand especially in fintechs, healthtechs, and large enterprises.
About Blockchain
The Blockchain area involves the development and implementation of secure and distributed transaction ledgers. Professionals in this field work with smart contract development, cryptography, consensus algorithms, and platforms such as Ethereum, Hyperledger, and Solana, ensuring security and decentralization for various types of applications.
About Scrum Master
The Scrum Master is the professional responsible for facilitating the adoption of Scrum and agile practices within development teams. They act as servant leaders, removing impediments, promoting continuous improvement, and ensuring Scrum events and ceremonies happen in the best possible way.
Key skills include event facilitation (sprint planning, daily, review, retrospective), backlog management, team coaching, conflict resolution, and agile metrics (velocity, burndown, cycle time). Knowledge of Jira, Trello, Azure DevOps, and frameworks like Kanban, XP, and SAFe is a differentiator.
Scrum Masters in technology companies are highly valued, especially those who can promote team autonomy, create psychologically safe environments, and lead agile transformations at scale. The field offers opportunities from junior scrum master to agile coach, head of agile, and director of agile transformation.
About Infrastructure and DevOps
Infrastructure and DevOps are responsible for creating, maintaining, and optimizing IT environments that support applications at scale. This area is fundamental for system reliability and performance.
Key technologies include AWS, GCP, Azure, Docker, Kubernetes, Terraform, Ansible, CI/CD (GitHub Actions, GitLab CI, Jenkins), and monitoring (Datadog, Grafana, Prometheus).
DevOps engineers and SREs are highly sought-after professionals, with salaries among the highest in the technology sector.
Comments 0