Это чётко очерченная руководящая инженерная роль в ключевой части мультиоблачной API-инфраструктуры OpenAI, с серьёзной технической ответственностью и влиянием на разные команды.
Выше рынка
Понятная зона ответственности
Современная инфраструктура
Сфера ИИ
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Engineering Manager, API Multicloud (AI/cloud infrastructure): Building and operating OpenAI's API platform across major cloud providers, with an accent on distributed systems, model serving, scalability, reliability, and infrastructure efficiency. Focus on leading architecture and production execution, scaling capacity across CSP environments, launching new model integrations, and developing a high-performing engineering team.
Location: San Francisco, United States; hybrid workplace
Salary: $325K–$405K annually, plus equity.
Company
OpenAI is an AI research and deployment company building and safely deploying general-purpose artificial intelligence products.
What you will do
Lead, mentor, grow, and recruit a high-performing engineering team responsible for OpenAI's API infrastructure across multiple cloud providers.
Define the technical vision, strategy, and roadmap for the API Multicloud platform.
Drive architecture and execution for distributed systems supporting API routing, model serving, and cloud infrastructure across CSP environments.
Partner with inference, API, infrastructure, security, Safety Systems, and CSP engineering teams to launch models and expand platform capabilities.
Own platform reliability, performance, operational excellence, capacity planning, infrastructure efficiency, and deployment improvements.
Set priorities, navigate ambiguity, and balance near-term delivery with long-term technical investments.
Requirements
Experience leading, building, and developing high-performing engineering teams responsible for large-scale cloud infrastructure, distributed systems, or platform engineering.
Strong technical background in distributed systems and cloud infrastructure, including the ability to make architectural decisions and guide senior engineers.
Experience building and operating production infrastructure on major cloud platforms such as AWS, Google Cloud, or Azure.
Proven ability to lead complex, cross-functional engineering initiatives from architecture through production launch and ongoing operations.
Strong understanding of scalability, reliability, performance optimization, and infrastructure efficiency in large-scale production environments.
Demonstrated ability to hire, mentor, and develop engineering talent while fostering technical excellence, ownership, and execution.
Strong communication and collaboration skills, including experience influencing technical direction across engineering teams and external partners.
Nice to have
Experience with AI infrastructure, inference systems, or model serving.
Culture & Benefits
Hybrid work in San Francisco.
Work with inference, API, infrastructure, security, Safety Systems, and cloud service provider engineering teams.
Focus on ownership, collaboration, technical excellence, continuous improvement, reliability, and operational excellence.
Equity is included in the compensation package.
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