At a Glance
- Tasks: Lead a team to deploy AI coding tools and enhance software development workflows.
- Company: Join OpenAI, a leader in AI research and deployment with a mission for humanity.
- Benefits: Enjoy a hybrid work model, competitive salary, and relocation assistance.
- Other info: Dynamic environment with opportunities for growth and collaboration across diverse teams.
- Why this job: Make a real impact by driving AI adoption in top organisations and shaping the future of tech.
- Qualifications: 8+ years in technical roles and 2+ years leading teams; experience with AI and software development.
The predicted salary is between 80000 - 100000 € per year.
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.
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 development lifecycles and how AI tooling transforms developer productivity and workflows.
- Are an 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 strong ownership, humility, and a commitment to helping both customers and teammates succeed.
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
Manager, AI Deployment Engineering - Codex in London employer: OpenAI
OpenAI is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of AI. With a strong commitment to employee growth, we provide opportunities for mentorship and leadership development while ensuring a supportive environment that values diverse perspectives. Our hybrid work model, combined with relocation assistance for new employees, makes our London and Munich offices ideal locations for those looking to make a meaningful impact in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, AI Deployment Engineering - Codex in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those who work with AI deployment. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your experience with AI tools and deployment strategies. Use real-world examples to demonstrate how you've helped teams adopt new technologies. This will make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI deployment and software development lifecycles. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both tech teams and execs.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us drive AI adoption. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Manager, AI Deployment Engineering - Codex in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your experience in AI deployment and technical leadership, as these are key for us at StudySmarter. Show how your skills align with the job description!
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with programming languages like Python or JavaScript. We want to see how you’ve used these skills in real-world scenarios, especially in deploying AI solutions.
Communicate Clearly:We love effective communicators! Make sure your application reflects your ability to explain complex technical concepts simply. This is crucial for collaborating with both engineering teams and executive stakeholders.
Apply Through Our Website:For the best chance of success, apply directly through our website. It’s the easiest way for us to track your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at OpenAI
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially those related to Codex and deployment engineering. Be ready to discuss how you've successfully implemented AI solutions in the past and how they can enhance developer productivity.
✨Show Your Leadership Skills
As a manager, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've guided teams through complex projects, focusing on your coaching style and how you foster collaboration among engineers.
✨Understand Customer Needs
Be prepared to talk about how you’ve translated customer requirements into successful deployment strategies. Think of specific instances where you’ve acted as a trusted advisor to clients, ensuring their needs were met while implementing AI solutions.
✨Communicate Clearly
Effective communication is key in this role. Practice explaining complex technical concepts in simple terms, as you’ll need to convey ideas to both technical teams and executive stakeholders. Use examples from your experience to illustrate your points.
