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Engineering Manager, Core Services

OpenAI - San Francisco, California, United States

Posted Feb 2, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Mental health support
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Market context

Median wage (BLS OEWS)
$111,944 national median
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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About this role

Engineering Manager, Core Services San Francisco, California, United States 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

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