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engineering

Posted Mar 16

Engineering Manager, Online Data Systems

at openai

San Francisco, United StatesOn-site

Responsibilities

  • - Drive the evolution of OpenAI’s in-house online data technologies, our core, hyper-scale database systems, indexing technologies, and vector search.

Requirements

  • 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.
  • 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

Additional details

  • 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 companies in 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.
  • - 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.

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