Is the Key Customers Solutions Architect MEA position at Nebius fully remote?

Yes, this Key Customers Solutions Architect MEA position at Nebius is fully remote and you can work from anywhere in the world.

Is this a full-time or part-time Key Customers Solutions Architect MEA role?

This is a full-time Key Customers Solutions Architect MEA position at Nebius.

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You can apply for this Key Customers Solutions Architect MEA position by clicking the "Apply Now" button on this page, which will take you to Nebius's application portal.

Key Customers Solutions Architect MEA at Nebius

Worldwide

<div class="content-intro">About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.</div><h3>The role</h3> 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 UAE. Your responsibilities will include:  <ul> <li>Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML</li> <li>Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability</li> <li>Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations</li> <li>Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements</li> <li>Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges</li> </ul> We expect you to have:  <ul> <li>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</li> <li>Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible</li> <li>Experience with Kubernetes and Python programming</li> <li>Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL)</li> <li>Customer-centric approach with a proven ability to build trust and foster long-term relationships</li> <li>Strong ability to explain technical concepts to technical and non-technical audiences</li> </ul> It will be an added bonus if you have:  <ul> <li>Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow)</li> <li>Experience with deep learning frameworks (e.g., PyTorch, TensorFlow)</li> <li>Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers</li> <li>Strong project management skills, with the ability to prioritize tasks and deliver on deadlines</li> <li>Proven experience mentoring technical teams and driving team growth</li> <li>Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration</li> </ul><div class="content-conclusion">Benefits & Perks: <ul> <li>Competitive compensation</li> <li>Career growth and learning opportunities</li> <li>Flexibility and ownership</li> <li>Collaborative and innovative culture</li> <li>Opportunity to work on impactful AI projects</li> <li>International environment and talented teams</li> </ul> What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI  Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.  If you need accommodations during the application process, please let us know.</div>

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Remote Opportunity

Key Customers Solutions Architect MEA

Join Nebius as a senior professional working remotely from Worldwide. Explore the role, benefits, and apply in one place.

Key Customers Solutions Architect MEA

Nebius

Full Time

2 months ago

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large…

Worldwide

Engineering

Senior

Cloud Solutions Architecture

AI/ML

GPU Orchestration

+5 more

Job Description

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role

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 UAE.

Your responsibilities will include:

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

We expect you to have:

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
Strong ability to explain technical concepts to technical and non-technical audiences

It will be an added bonus if you have:

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

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

Requirements

engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges
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
strong ability to explain technical concepts to technical and non-technical audiences
hands-on experience with hpc/ml orchestration frameworks (e.g., slurm, kubeflow)

Skills

Cloud Solutions Architecture

AI/ML

GPU Orchestration

Terraform

Ansible

Kubernetes

Python

CUDA

Ready to Apply?

Join Nebius today

Posted 2 months ago

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