# Key Customers Solutions Architect MEA

**Company**: Nebius
**Location**: Abu Dhabi
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/nebius/jobs/4967836101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a82e1a01-7af

## Description

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.

Your responsibilities will include:

- Serving as the primary technical point of contact, troubleshooting and resolving complex AI/ML issues

- Guiding customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability

- Partnering with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations

- Acting as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements

- Engaging with internal and external stakeholders, negotiating solutions, and effectively driving alignment to address customer challenges

Requirements:

- 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

- Strong ability to explain technical concepts to 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 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

Benefits & Perks:

- Competitive compensation

- Career growth and learning opportunities

- Flexibility and ownership

- Collaborative and innovative culture

- Opportunity to work on impactful AI projects

- International environment and talented teams

## Skills

### Required
- Cloud Services
- AI/ML
- Infrastructure as Code
- Kubernetes
- Python
- GPU Computing
- CUDA
- OpenCL

### Nice to have
- HPC/ML Orchestration
- Deep Learning Frameworks
- NVIDIA
- AWS
- Azure
- Google Cloud
- Project Management
- Stakeholder Negotiation

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/nebius/jobs/4967836101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)