Manager, Applied AI Engineering (Codex)
Job description
Manager, Applied AI Engineering (Codex) leading a team of Applied AI Engineers who help strategic customers adopt Codex across their software development lifecycles. The role combines people leadership with senior technical advisory work, partnering with Sales, Product, Research, and Engineering.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Hybrid · Munich, Germany · Berlin, Germany
- Languages
- English
What you'll do
- Lead, hire, and mentor a high-performing team of Applied AI Engineers supporting Codex customers across strategic accounts.
- Own the operating model and technical engagement strategy for Codex Applied AI Engineering, helping customers move from initial exploration to meaningful, scaled adoption.
- Guide teams in designing and implementing AI-enhanced development workflows, agentic systems, automations, evaluations, and scalable application architectures.
- Act as the senior technical escalation point and thought partner for complex customer implementations and engineering challenges.
- Partner with Sales, Product, Research, and Engineering teams to align customer outcomes with product direction and roadmap priorities.
- Establish repeatable technical patterns, playbooks, reference architectures, and best practices that enable broader adoption of AI-powered software development.
- Coach Applied AI Engineers to operate as trusted technical partners to engineering leaders, executives, and highly technical customer teams.
- Synthesize insights from customer engagements and translate them into actionable feedback for Product, Research, and Engineering.
- Develop a deep understanding of how customers are using Codex, where they encounter friction, and where new technical approaches or product capabilities could unlock greater impact.
- Champion safe, reliable, and effective adoption of AI-powered development workflows across industries.
What we're looking for
- 8+ years of experience in deeply technical, customer-facing roles such as applied engineering, solutions architecture, deployment engineering, technical consulting, or similar roles.
- 2+ years of experience leading technical teams, including hiring, mentoring, and developing engineers.
- Experience building or deploying generative AI, developer platforms, agentic systems, or cloud-based software solutions in production environments.
- Strong hands-on software engineering experience and fluency with programming languages such as Python or JavaScript.
- Understanding of modern software development lifecycles and strong intuition for how AI and coding agents can change how software is designed, built, tested, and maintained.
- Ability to work directly with customer engineering teams to understand ambiguous problems, develop technical approaches, and turn ideas into working solutions.
- Effective communicator who can translate complex technical and business topics for both engineering teams and executive stakeholders.
- Thrive in ambiguous, fast-moving environments and enjoy building new operating models, technical patterns, and teams from first principles.
- Strong ownership, humility, technical judgment, and a commitment to helping both customers and teammates succeed.
- Personally committed to fostering the safe and beneficial development of AI.
Your team
Codex Applied AI Engineering
Part of the Applied AI Engineering team; focuses on helping organizations transform how software is built with AI by integrating Codex into their software development lifecycle, from use case identification and workflow design to implementation, evaluation, and scaled adoption.
Benefits
- Relocation assistance to new employees
Apply
Direct apply at OpenAI
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About OpenAI
An AI research and deployment company
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.
Mission
Ensuring that general-purpose artificial intelligence benefits all of humanity.
Key facts
- AI research and deployment
- AI is an extremely powerful tool that must be created with safety and human needs at its core
What they value
- Safety and human needs at the core of AI
- Encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity