Key Customers Solutions Architect

Nebius B.V.; Deutschland; Remote; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Nebius seeks a Key Customers Solutions Architect to support key Nebius GPU Cloud customers. You will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads across hundreds to thousands of GPUs.

You’re welcome to work remotely from Europe. In this role, you’ll collaborate with sales, product teams, and customers to drive growth, capture feedback, and ensure solutions align with business goals.

Qualifikationen

• 5–10+ years in Cloud Solutions Architect/Technical Account Manager roles
• Hands-on cloud services experience with AI/ML workloads
• Proficiency in IaC tools Terraform and Ansible
• GPU computing and GPU stacks (CUDA, OpenCL) familiarity
• Customer-centric with strong relationship-building skills

Aufgaben

• Act as primary technical contact, troubleshooting and resolving complex AI/ML issues
• Guide customers to optimize GPU performance for ML workloads
• Collaborate with sales to identify opportunities and present technical solutions
• Bridge to product teams, relay feedback and feature requests
• Engage stakeholders and drive alignment to address customer challenges

Kenntnisse

Cloud architecture

Kubernetes

Python

Terraform

Ansible

GPU computing

AI/ML workloads

Customer relationship

Tools

Terraform

Ansible

Kubernetes

CUDA

PyTorch

TensorFlow

Jobbeschreibung

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction. You’re welcome to work remotely from Europe.

Responsibilities

• Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
• 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.

Requirements

• Experience: 5 - 10 + years in roles like Cloud 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.

Bonus Skills

• 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 NVIDIA, AWS, Azure, and Google 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.