Senior Manager, AI Field Applications Engineering - EMEA
Hybrid (Munich, Germany)Full-timePosted 3mo ago
About the role
Lead AMD’s AI Field Application Engineering team across EMEA, India, and Asia; manage senior engineers engaging with customers to design, validate, and deploy high-performance AI solutions; collaborate with sales, BD, and engineering to drive strategic AI programs and ensure alignment with business objectives.
Responsibilities
- Lead and develop a team of AI Field Application Engineers supporting strategic customer engagements
- Drive technical strategy and execution for AI opportunities, including proof of concepts and customer qualification
- Partner with sales, business development, and engineering teams to support new and ongoing business
- Build strong relationships with stakeholders across customer organizations and internal AMD teams
- Ensure alignment between technical execution and business objectives
- Build visibility across key accounts, team capabilities, and ongoing engagements
- Establish relationships with internal stakeholders and customer leadership
- Assess current opportunities, risks, and resource needs across the team
- Take ownership of account execution through your team and drive progress across key opportunities
- Support and guide technical qualification, proof of concept definition, and customer engagement strategies
- Provide regular updates to senior leadership, highlighting progress, risks, and opportunities
- Strengthen collaboration between field teams and engineering organizations
- Deliver successful outcomes across strategic AI programs and contribute to business growth
- Build a high-performing, scalable FAE organization across regions
- Influence product and solution direction through field insights and customer feedback
- Develop strong internal networks to accelerate issue resolution and drive innovation
- Monitor progress across accounts and ensure effective execution through the team
- Identify and address blockers, coordinating across internal teams to resolve challenges
- Support development of value-based proposals, including total cost of ownership discussions
- Foster a collaborative, high-performance team culture across regions
- Share insights and best practices to improve future execution
Qualifications
- Experience leading technical teams in customer-facing or engineering environments
- Strong understanding of AI workloads, systems, and software ecosystems
- Familiarity with data center technologies, including CPU, GPU, and cloud platforms
- Experience collaborating with global, cross-functional teams
- Ability to manage complex customer engagements and influence senior stakeholders
- Strong communication and presentation skills
Skills
Required:Team leadershipAI workloads and ecosystemsData center technologies (CPU, GPU, cloud)Stakeholder managementExecutive communication
Benefits
- Benefits described at AMD benefits page (referenced in posting)
Last updated Oct 1, 2026. Interested? Apply on the company site.
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