Manager, Applied AI Engineering (Codex)
OpenAI· Go To Market
Hybrid (Munich, Germany)Full-timePosted 1mo ago
About the role
Technical leadership role leading a team of Applied AI Engineers to drive Codex adoption across strategic customers, shaping operating models, and delivering scalable AI-enabled development workflows and patterns.
Responsibilities
- 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.
Qualifications
- 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 how AI and coding agents can change software design, build, test, and maintenance.
- Ability to work directly with customer engineering teams to understand ambiguous problems, develop technical approaches, and turn ideas into working solutions.
- Effective communication skills to translate complex technical and business topics for engineering teams and executive stakeholders.
- Ability to thrive in ambiguous, fast-moving environments and build operating models, technical patterns, and teams from first principles.
- Strong ownership, humility, technical judgment, and a commitment to helping customers and teammates succeed.
- Commitment to fostering the safe and beneficial development of AI.
Skills
Required:Leadership and people managementApplied AI / Generative AISoftware engineeringPython or JavaScript
Last updated Oct 1, 2026. Interested? Apply on the company site.
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