OpenAI· Go To Market· London, UK
Manager, AI Deployment Engineering - Codex
Classified Tasks (23)
Automate 0%Augment 48%Human-Only 52%
Augment (11)
AI assists, human decides
1. Ensure safe and effective deployment of OpenAI Codex technologies across developer and enterprise customers
technical
3. Design real-world AI applications that integrate Codex into customer workflows
technical
4. Implement real-world AI applications and integrate them into customer environments
technical
5. Scale deployed Codex solutions to enterprise production environments
technical
7. Design and run early experimentation and pilot programs for Codex adoption
operational
8. Design and execute enterprise-scale production rollouts for Codex deployments
operational
9. Ensure AI-enhanced developer experiences are reliable, secure, and deeply embedded within customer environments
technical
16. Implement AI-enhanced development workflows, automations, and scalable deployment architectures alongside teams
technical
19. Translate customer needs into deployment best practices and product insights
analytical
20. Establish repeatable deployment playbooks, technical patterns, and best practices to enable scaled adoption of AI coding tools
operational
22. Synthesize insights from customer deployments and translate them into actionable feedback for internal teams
analytical
Human-Only (12)
Requires human judgment
2. Act as a trusted technical partner to help customers move from experimentation to production
communication
6. Partner directly with customer engineering teams to integrate Codex into their development workflows
communication
10. Lead a team of AI Deployment Engineers supporting Codex customers across strategic accounts
leadership
11. Hire AI Deployment Engineers to build a high-performing team
leadership
12. Mentor and develop engineers through coaching and feedback
leadership
13. Own the operating model and engagement strategy for Codex deployment efforts
operational
14. Set technical strategy for deployment engagements operating at scale
leadership
15. Guide teams in designing AI-enhanced development workflows, automations, and scalable deployment architectures
leadership
17. Act as the senior technical escalation point for complex customer implementations and deployment challenges
technical
18. Partner with Sales, Product, Research, and Applied Engineering teams to align customer outcomes with product direction and roadmap priorities
communication
21. Coach engineers to operate as trusted advisors to engineering leadership and executive stakeholders
leadership
23. Champion safe, reliable, and effective adoption of AI-powered development workflows across industries
leadership
Job description
Manager, AI Deployment Engineering - Codex | OpenAI Careers ## Manager, AI Deployment Engineering - Codex Go To Market - London, UK Apply now(opens in a new window) ### **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 role, you will:** * 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. * Guide teams in designing and implementing AI-enhanced development workflows, automations, and scalable deployment architectures. * Act as the senior technical escalation point for complex customer implementations and deployment challenges. * Partner with Sales, Product, Research, and Applied Engineering teams to align customer outcomes with product direction and roadmap priorities. * Help establish repeatable deployment playbooks, technical patterns, 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. * Champion safe, reliable, and effective adoption of AI-powered development workflows across industries. ### **You might thrive in this role if you:** * Have 8+ years of experience in technical customer-facing roles such as deployment engineering, solutions architecture, technical consulting, or post-sales engineering. * Have 2+ years of experience leading technical teams, including hiring, mentoring, and developing engineers. * Have experience deploying Generative AI, developer platforms, or cloud-based software solutions into production environments. * Possess hands-on technical experience with software development systems and programming languages such as Python or JavaScript. * Understand modern software