Manager, AI Deployment Engineering - Codex

Openai·Remote(Munich, Germany)

Software Development

WFA Digital Insight

As demand for AI-powered solutions grows, the need for skilled deployment engineers is skyrocketing. With a 25% increase in AI adoption in the past year, professionals with expertise in AI deployment are in high demand. Openai's Munich office is at the forefront of this trend, and this role offers a unique opportunity to lead a team of engineers driving Codex adoption across strategic customers. To succeed, candidates will need a deep understanding of AI-enhanced development workflows and scalable deployment architectures. Before applying, candidates should be aware of the importance of collaboration and communication in this role, as well as the need for strong technical leadership skills.

Job Description

About the Role

The Manager, AI Deployment Engineering - Codex is a critical role at Openai, responsible for leading a team of engineers driving the adoption of Codex across strategic customers. This role entails managing the deployment of AI-enhanced development workflows, automations, and scalable architectures, ensuring customers successfully move from pilot to production adoption. The ideal candidate will have a deep understanding of AI-powered development workflows and scalable deployment architectures, as well as experience leading technical teams.

As a key member of the AI Deployment Engineering team, the successful candidate will partner closely with Sales, Product, Research, and Engineering teams to translate customer needs into deployment best practices and product insights. This role requires strong technical leadership skills, as well as the ability to communicate complex technical and business topics to both engineering teams and executive stakeholders.

The AI Deployment Engineering team at Openai is responsible for ensuring the safe and effective deployment of Openai technologies across developers and enterprises. The team acts as trusted technical partners, helping customers move from experimentation to production by designing, implementing, and scaling real-world AI applications.

What You Will Do

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

What We Are Looking For

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
Understanding of modern software development lifecycles and how AI tooling transforms developer productivity and workflows
Effective communication skills, with the ability to translate complex technical and business topics to both engineering teams and executive stakeholders
Experience working in a fast-paced, dynamic environment, with a strong ability to adapt to changing priorities and deadlines

Nice to Have

Experience with agile development methodologies and version control systems such as Git
Knowledge of cloud-based infrastructure and platform-as-a-service (PaaS) offerings
Familiarity with DevOps practices and tools such as Jenkins, Docker, and Kubernetes

Benefits and Perks

Competitive salary and benefits package
Opportunity to work with a cutting-edge AI technology stack
Collaborative, dynamic work environment with a team of experienced engineers and researchers
Flexible work arrangements, including remote work options and flexible hours
Professional development opportunities, including training and conference attendance
Access to the latest technologies and tools, including cloud-based infrastructure and AI-powered development platforms

How to Stand Out

Be prepared to discuss your experience with AI-enhanced development workflows and scalable deployment architectures
Highlight your ability to communicate complex technical and business topics to both engineering teams and executive stakeholders
Emphasize your experience leading technical teams and mentoring engineers
Show a willingness to learn and adapt to new technologies and tools, including cloud-based infrastructure and AI-powered development platforms
Be prepared to provide examples of your experience with agile development methodologies and version control systems such as Git
Research Openai's products and services, including Codex, and be prepared to discuss how you can contribute to the company's mission

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