Job description
Manager, AI Deployment Engineering - Codex
Company Overview
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.
Job Summary
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 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.
Key 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.
Requirements / Qualifications
- 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.
- Understand modern software development lifecycles and how AI tooling transforms developer productivity and workflows.
- 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.
Location
Munich, Bavaria, Germany (Hybrid)
Employment Type
Full Time
Equal Opportunity Statement
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.
