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OpenAI's Applied AI Engineering team helps customers transform frontier AI capabilities into real products and business impact. The Codex Applied AI Engineering team specifically focuses on helping organizations integrate AI-powered code generation into their software development lifecycle.
You will lead a team of Applied AI Engineers responsible for driving Codex adoption across strategic customer accounts. Your responsibilities include:
- Leading, hiring, and mentoring a high-performing team of Applied AI Engineers supporting Codex customers
- Owning the operating model and technical engagement strategy, helping customers move from exploration to scaled adoption
- Guiding teams in designing and implementing AI-enhanced development workflows, agentic systems, automations, and scalable architectures
- Serving as the senior technical escalation point for complex customer implementations
- Partnering with Sales, Product, Research, and Engineering to align customer outcomes with product direction
- Establishing repeatable technical patterns, playbooks, and reference architectures
- Coaching engineers to operate as trusted technical partners to customer engineering leaders and executives
- Synthesizing customer insights and translating them into actionable feedback for internal teams
- Developing deep understanding of how customers use Codex and where friction points exist
- Championing safe, reliable, and effective adoption of AI-powered development workflows
The role is based in Munich or Berlin with a hybrid work model (3 days in office per week). Relocation assistance is offered.
REQUIREMENTS:
- 8+ years of experience in deeply technical, customer-facing roles (applied engineering, solutions architecture, deployment engineering, technical consulting, or similar)
- 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
- Strong hands-on software engineering experience and fluency with Python or JavaScript
- Understanding of modern software development lifecycles and how AI and coding agents can transform software design, build, test, and maintenance
- Ability to work directly with customer engineering teams to understand ambiguous problems and develop technical solutions
- Strong communication skills to translate complex technical and business topics for engineering teams and executives
- Comfort thriving in ambiguous, fast-moving environments and building new operating models and teams from first principles
- Strong ownership, humility, technical judgment, and commitment to customer and teammate success
- Personal commitment to safe and beneficial AI development
