Engineering Manager, API Multicloud

API Multicloud partners with cloud service providers (CSPs) to bring OpenAI's frontier models and APIs into the cloud environments where developers and enterprises already build. We own the API end to end across CSP platforms, from API integration and request routing through inference execution, capacity management, and day-to-day operations. We're looking for an experienced Engineering Manager to lead the team responsible for building and operating OpenAI's API across major cloud service providers. You'll lead a team of engineers focused on establishing scalable, reliable, and efficient cloud deployment platforms that bring OpenAI's frontier models to customers across multiple cloud environments.

Responsibilities

Lead, mentor, and grow a high-performing engineering team responsible for building and operating OpenAI's API infrastructure across multiple cloud providers; Define the technical vision, strategy, and roadmap for API Multicloud, ensuring the platform is scalable, reliable, and efficient; Drive the architecture and execution of complex distributed systems that support API routing, model serving, and cloud infrastructure across CSP environments; Partner closely with inference, API, infrastructure, security, and CSP engineering teams to launch new models, expand platform capabilities, and deliver reliable production services; Own the reliability, performance, and operational excellence of the platform, driving improvements in capacity planning, infrastructure efficiency, and deployment processes; Recruit and develop exceptional engineering talent, fostering a culture of technical excellence, ownership, and continuous improvement; Set clear priorities, navigate ambiguity, and drive cross-functional execution while balancing near-term business needs 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, with the ability to drive architectural decisions and provide technical guidance to senior engineers; Experience building and operating production infrastructure on major cloud platforms such as AWS, Google Cloud, or Azure; Proven track record of leading 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 a culture of technical excellence, ownership, and execution; Strong communication and collaboration skills, with experience influencing technical direction across engineering teams and external partners

Nice to have

Experience with AI infrastructure, inference systems, or model serving