OpenAI
AI
Manager,AIDeploymentEngineering-Codex
Neural analysis suggests this role is
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“Manager, AI Deployment Engineering - Codex at OpenAI. Skills: AI Deployment Engineering, Codex Deployment, Technical Leadership, Customer Engagement, Scalable Architecture Design. Lead, hire, and mentor a high-performing team of AI Deployment Engineers supporting Codex customers across strategic accounts. Own the operating model and engagement strategy for Codex deployment efforts, ensuring customers successfully move from pilot to production adoption”
What You'll Achieve.
Ensuring the safe and effective deployment of OpenAI technologies across developers and enterprises; Helping customers move from experimentation to production by designing, implementing, and scaling real-world AI applications; Enabling organizations to adopt next-generation AI coding tools and intelligent automations throughout their software development lifecycle; Ensuring AI-enhanced developer experiences are reliable, secure, and deeply embedded within customer environments; Driving successful Codex adoption across strategic customers; Design AI-enabled workflows, deploy production-ready solutions, and establish scalable patterns for AI-powered software development; Define how deployment engagements operate at scale; Ensure consistent execution across customer implementations; Translate customer needs into deployment best practices and product insights; Production deployments; Sustained developer adoption; Creation of repeatable deployment patterns that accelerate Codex usage across organizations; Customers successfully move from pilot to production adoption; Scaled adoption of AI coding tools; Safe, reliable, and effective adoption of AI-powered development workflows across industries
Industry & Context.
Resolve complex customer implementations and deployment challenges
What They're Looking For.
Must Have
8+ years of experience in technical customer-facing roles such as deployment engineering, solutions architecture, technical consulting, or post-sales engineering, 2+ years of experience leading technical teams, including hiring, mentoring, and developing engineers, Experience deploying Generative AI, developer platforms, or cloud-based software solutions into production environments, Hands-on technical experience with software development systems and programming languages such as Python or JavaScript, Understand modern software development lifecycles and how AI tooling transforms developer productivity and workflows, Effective communicator who can translate complex technical and business topics to both engineering teams and executive stakeholders, Thrive in ambiguous, fast-moving environments and enjoy building new operating models and teams from first principles, Demonstrate ownership, humility, and a commitment to helping both customers and teammates succeed
Nice to Have
Codex adoption across strategic customers, AI-enhanced developer experiences are reliable, secure, and deeply embedded within customer environments, AI-enhanced development workflows, automations, and scalable deployment architectures, Senior technical escalation point for complex customer implementations and deployment challenges, Repeatable deployment playbooks, technical patterns, and best practices that enable scaled adoption of AI coding tools, Operate as trusted advisors to engineering leadership and executive stakeholders, Synthesize insights from customer deployments and translate them into actionable feedback for internal teams, Champion safe, reliable, and effective adoption of AI-powered development workflows across industries
What You'll Do.
and mentor a high-performing team of AI Deployment Engineers supporting Codex customers across strategic accounts
Own the operating model and engagement strategy for Codex deployment efforts
ensuring customers successfully move from pilot to production adoption
Guide teams in designing and implementing AI-enhanced development workflows
and scalable deployment architectures
Act as the senior technical escalation point for complex customer implementations and deployment challenges
and Applied Engineering teams to align customer outcomes with product direction and roadmap priorities
Help establish repeatable deployment playbooks
and best practices that enable scaled adoption of AI coding tools
Coach engineers to operate as trusted advisors to engineering leadership and executive stakeholders
Synthesize insights from customer deployments and translate them into actionable feedback for internal teams
and effective adoption of AI-powered development workflows across industries
How You'll Work.
Team & Collaboration
Partner directly with engineering teams to integrate Codex into their workflows; Partner closely with Sales, Product, Research, and Engineering teams; Align customer outcomes with product direction and roadmap priorities; Coach engineers to operate as trusted advisors to engineering leadership and executive stakeholders; Synthesize insights from customer deployments and translate them into actionable feedback for internal teams
Communication Scope
Translate complex technical and business topics to both engineering teams and executive stakeholders
Process & Methodology
Own the operating model and engagement strategy for Codex deployment efforts, Ensuring customers successfully move from pilot to production adoption
Full Job Description
ABOUT THE TEAM The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of OpenAI technologies across developers and enterprises. We act as trusted technical partners, helping customers move from experimentation to production by designing, implementing, and scaling real-world AI applications. The Codex Deployment Engineering team focuses on enabling organizations to adopt next-generation AI coding tools and intelligent automations throughout their software development lifecycle. We partner directly with engineering teams to integrate Codex into their workflows — from early experimentation and pilot design through enterprise-scale production rollout — ensuring AI-enhanced developer experiences are reliable, secure, and deeply embedded within customer environments. ABOUT THE ROLE We are seeking an experienced technical leader to manage a team of AI Deployment Engineers responsible for driving successful Codex adoption across strategic customers. In this role, you will lead engineers who work hands-on with customer development teams to design AI-enabled workflows, deploy production-ready solutions, and establish scalable patterns for AI-powered software development. As a manager, you will define how deployment engagements operate at scale — setting technical strategy, coaching engineers, and ensuring consistent execution across customer implementations. You will serve as both a people leader and technical advisor, partnering closely with Sales, Product, Research, and Engineering teams to translate customer needs into deployment best practices and product insights. Success in this role will be measured by production deployments, sustained developer adoption, and the creation of repeatable deployment patterns that accelerate Codex usage across organizations. This role is open in both our London and Munich office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS RO
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