At a Glance
- Tasks: Lead a team to deploy cutting-edge AI tools and enhance developer workflows.
- Company: Join OpenAI, a leader in AI technology with a collaborative culture.
- Benefits: Enjoy a hybrid work model, relocation assistance, and competitive perks.
- Other info: Work in a dynamic environment with opportunities for growth.
- Why this job: Make a real impact by driving AI adoption in top companies.
- Qualifications: 8+ years in technical roles and 2+ years leading teams required.
The predicted salary is between 80000 - 98000 £ per year.
About the team
The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Open AI 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 and drive successful Codex adoption across strategic customers.
The manager will define how deployment engagements operate at scale, set technical strategy, coach engineers, and ensure consistent execution across customer implementations.
This role is open in both our London and Munich offices, uses a hybrid work model of 3 days in the office per week, and offers relocation assistance to new employees.
Responsibilities
- 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.
Qualifications
- 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 Java Script.
- 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.
Benefits & Work Model
Hybrid work model: 3 days in the office per week in London or Munich. Relocation assistance is available for new employees.
Equal Opportunity Employer
Open AI is an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics.
We are committed to providing reasonable accommodations to applicants with disabilities.
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Manager, AI Deployment Engineering - Codex in London employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, AI Deployment Engineering - Codex in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Doist or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Doist.
✨Tap into Online Developer Communities
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We think you need these skills to ace Manager, AI Deployment Engineering - Codex in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Doist.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Doist and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Doist
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Doist uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
