OpenAI· Applied AI Engineering· San Francisco
Engineering Manager, Online Data Systems
Comp$325K – $405K
Classified Tasks (15)
Automate 0%Augment 40%Human-Only 60%
Augment (6)
AI assists, human decides
Build and operate the core online database and indexing services for production AI applications.
technical
Ensure the reliability, correctness, and scalability of the online data stack.
operational
Drive the evolution of in-house online data technologies, including hyper-scale database systems, indexing technologies, and vector search.
technical
Anchor delivery around measurable reliability goals (SLOs) to ensure system performance and resiliency.
operational
Reduce operational toil and incident frequency by building better abstractions, guardrails, and self-healing systems.
operational
Scale systems to support rapid growth and high traffic of production AI applications.
technical
Human-Only (9)
Requires human judgment
Build, lead, and grow high-performing infrastructure engineering teams.
leadership
Lead the Online Data Systems team to build and operate in-house database and indexing technology.
leadership
Curate a comprehensive portfolio of online data services to enable product and research teams to build from 0–100.
operational
Oversee delivery of engineering work in distributed query execution.
leadership
Oversee delivery of engineering work in multi-region federation.
leadership
Oversee delivery of engineering work in self-orchestrating and self-healing services.
leadership
Oversee delivery of engineering work in low-level performance optimization.
leadership
Champion pragmatic use of agent technology to amplify execution velocity.
leadership
Enable product and research teams to ship features quickly by removing infrastructural and operational obstacles.
operational
Job description
Engineering Manager, Online Data Systems | OpenAI Careers ## Engineering Manager, Online Data Systems Applied AI Engineering - San Francisco Apply now(opens in a new window) **About the Team** The Online Data team builds and operates the core online database and indexing services for OpenAI’s production AI applications, including supporting the explosive growth of ChatGPT, the #1 AI app in the world, and Codex, the fastest growing agentic development toolset in the world. Our mission is to ensure the reliability, correctness, and scalability of our online data stack and to curate a comprehensive portfolio of services that matches the relentless ambition of OpenAI, enabling our product and research teams to build 0-100 without getting bogged down in the minutiae of multi-region, multi-cloud, exabyte-scale data infrastructure. **About the Role** We are seeking an Engineering Manager to lead our Online Data Systems team, responsible for our in-house database and indexing technology. This role is about shepherding a team of world-class engineers tasked with building and operating hyperscale data storage and retrieval technology. You’ll be overseeing the delivery of extremely challenging engineering work in areas like distributed query execution, multi-region federation, self-orchestrating and self-healing services, low-level performance optimization, and more. There are few companiesin the world building this kind of technology in-house at this scale where you’ll still be getting in on the ground floor. Instead of being a cog in the machine spending months chasing small optimizations, you’ll play a major part of shaping our future. **In this role, you will:** * Build, lead, and grow high-performing infrastructure engineering teams. * Drive the evolution of OpenAI’s in-house online data technologies, our core, hyper-scale database systems, indexing technologies, and vector search. * Anchor delivery around measurable reliability goals (SLOs, etc) to ensure system performance and resiliency is above reproach. * Champion pragmatic use of agent technology to amplify execution velocity. * Reduce operational toil and incident frequency through better abstractions, guardrails, and self-healing systems. **You might thrive in this role if you:** * Have a truly insatiable spirit for operational excellence, demonstrated by having your hands-on in building and operating infrastructure with strict reliability, latency, and security requirements. * Have experience managing data-intensive software engineering teams in intense, demanding environments. * Bring deep hands-on understanding of database, indexing, storage, and distributed systems technologies. * Effectively modulate your technical engagement to create space for a highly technical team to lead and grow. * Have a demonstrable track record of hiring, developing, and retaining senior engineers. **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 record