20 beste Stellen als manager, ai deployment engineering codex in karlsfeld – aktuell auf Personalsuche

Manager, AI Deployment Engineering - Codex
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PLM Project Manager (all gender) – Teamcenter Implementation | Rail Engineering
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Bain & Co. —München
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Manager Intelligent Automation / AI & Data (m/w/d)
Deloitte Consulting GmbH —München
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Senior Service Engineering Manager (w/m/d) Telekommunikationssysteme - Rail Infrastructure
Siemens —München
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ALL IN GROUP —Bergkirchen
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SelectCode GmbH —Unterhaching
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Accso – Accelerated Solutions GmbH —München
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grey engineering GmbH —München
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Foxio Consulting GmbH —München
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IT Strategy & Transformation Manager (all gender)
ALTEN Consulting Services GmbH —München
- 70.000 € – 90.000 € pro Jahr
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manager, ai deployment engineering codex jobs near karlsfeld

Manager, AI Deployment Engineering - Codex

OpenAI -
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Umzugskostenzuschuss

Qualifikationen

Vertrieb
JavaScript
Softwareentwicklung
Künstliche Intelligenz
Python
Softwareentwicklungszyklus

Vollständige Stellenbeschreibung

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 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.

About OpenAI

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.

We are 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 characteristic.

For additional information, please see

OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement

.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through

this form

. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Erweiterte Suche

manager, ai deployment engineering codex Jobs in karlsfeld

Manager, AI Deployment Engineering - Codex

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Manager Change Management – AI Adoption (m/w/d)

Account Manager (m/w/d) – Advanced Surgery / Klinikaußendienst (Gebiet PLZ 5)

Engineering Budget & Resource Manager (all gender)

PLM Project Manager (all gender) – Teamcenter Implementation | Rail Engineering

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Manager Intelligent Automation / AI & Data (m/w/d)

Senior Service Engineering Manager (w/m/d) Telekommunikationssysteme - Rail Infrastructure

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AI Success Manager (w/m/d)

Regional Operation Manager

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Engineering Program Manager (m/w/d) Budget & Resource Steering

Junior Partnership Manager - Heat Pump Operations (w/m/d)

Onsite Manager

Project Manager Sales Transformation & AI

KI & Innovation Manager (m/w/d)

IT Strategy & Transformation Manager (all gender)

Ich möchte aktuelle Job-E-Mails für Stellen als manager, ai deployment engineering codex in karlsfeld erhalten

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