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OpenAI

Engineering Manager, Core Services

today
OpenAI · San Francisco, CA
$293k–385kOn-siteFull-timePython · Rust
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  • OpenAI

    Engineering Manager, Core Services

    OpenAI · 🇺🇸 San Francisco, CA · posted today
    ApplyFull posting

    Extracted from the posting

    Base
    $293,000 – $385,000
    Remote
    Based in San Francisco HQ
    Visa
    Offers relocation assistance to new employees
    Stack
    Python, Rust, C++, Kubernetes (company stack)

    TL;DR

    Manages infrastructure engineers on Core Services, which builds and runs mission-critical distributed production services, including workflow/orchestration, large-scale file/blob/storage, and core runtime services. Owns cluster reliability, rollout safety, SLOs, incident response, and capacity planning. Based in San Francisco HQ.

    About OpenAI →

    The full posting

    About the Team

    The Core Services organization builds and runs the mission-critical online services that product teams rely on in production. We own foundational distributed systems and platform capabilities that enable reliable execution, high-performance services, and large-scale file/data needs across our products. This team is distinct from developer infrastructure and data infrastructure—our focus is production service foundations and core runtime services.

    About the Role

    We’re hiring an Engineering Manager, Core Services to help lead teams responsible for highly reliable, high-scale distributed systems that sit on the critical path for OpenAI products. Your team will own foundational production systems that OpenAI’s product engineering teams build on. You’ll collaborate closely with product and infrastructure partners to ship reliable services quickly, and help scale systems and teams as OpenAI grows. You’ll partner closely with senior engineering leaders to scale the org, mature operations, and drive major platform initiatives. This role requires strong technical ability.

    You’ll be responsible for:

    • Managing and growing a high-performing team of infrastructure engineers.
    • Leading teams building and operating large, critical production platforms, including cluster reliability, scaling, and rollout safety.
    • Building and operating mission-critical distributed systems with strong operational rigor (SLOs, incident response, capacity planning, reliability).
    • Setting technical direction for platform foundations such as workflow/orchestration capabilities, large-scale file/blob/storage services, and core service foundations.
    • Partnering with a broad set of stakeholders, including product engineering, adjacent infrastructure teams, and (where relevant) finance/cost partners.
    • Coaching, mentoring, and developing engineers and emerging leaders.

    You might thrive in this role if you:

    • Have significant experience leading teams that run mission-critical infrastructure in production.
    • Have experience operating mission-critical services or core distributed systems building blocks.
    • Have built platform-like systems (e.g., orchestration/workflow execution, service platforms) and/or large-scale storage/blob/file infrastructure.
    • Have experience building systems spanning multiple cloud environments.
    • Take pride in building scalable, reliable systems and improving operational health.
    • Own problems end-to-end and can move fast in environments with ambiguity and competing priorities.

    Workplace & Location

    • This role is based in our San Francisco HQ. We offer relocation assistance for new employees.


    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.

    Compensation: $293K - $385K