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, competitive salary, and relocation assistance.
- Other info: Dynamic environment with opportunities for growth and innovation.
- 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 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.
