Customer Engineer EMEA

About This Opportunity

We are representing a confidential AI cloud infrastructure organization in their search for a Customer Engineer to support key enterprise clients across the EMEA region. This is a remote position based in Europe.

In this role, you will serve as a trusted technical advisor to clients deploying and scaling AI solutions on GPU infrastructure. You'll work with customers managing large-scale workloads involving hundreds to thousands of GPUs, helping them optimize performance for ML training and inference while collaborating closely with sales and product teams.

Responsibilities

• Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges

What We're Looking For

Required qualifications:

• 5+ years in roles such as Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible
• Experience with Kubernetes and Python programming
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL)
• Customer-centric approach with a proven ability to build trust and foster long-term relationships
• Strong ability to explain technical concepts to both technical and non-technical audiences

Preferred qualifications:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow)
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
• Familiarity with ML tools from major cloud providers
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines
• Proven experience mentoring technical teams and driving team growth
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration

How We Work With You

Candidates apply through Get A Job.ai, where our talent team will review your profile and conduct an initial screening. We then submit qualified candidates to our client for consideration. Please do not attempt to contact the client directly, as all communication should flow through our recruiting team to ensure a smooth process for everyone involved.

Pay

Compensation details will be discussed with qualified candidates during the screening process.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and work to ensure fair consideration throughout our recruitment process.