Key Customers Solutions Architect

Details

About Nebius

Nebius is building a full-stack AI cloud platform for developers and enterprises, supporting workloads from data and model training through production deployment. The platform covers compute, storage, networking, GPU orchestration, inference optimization, and applied AI.

Nebius is headquartered in Amsterdam, listed on Nasdaq as NBIS, and has a global footprint with R&D hubs across Europe, the UK, North America, and Israel. Its team of more than 1,500 people includes hundreds of engineers specializing in hardware, software, and AI R&D.

Responsibilities

• Serve as the primary technical point of contact for key and strategic Nebius GPU Cloud services customers.
• Troubleshoot and resolve complex AI/ML issues.
• Guide customers in optimizing GPU performance for machine learning training and inference workloads.
• Ensure seamless integration and scalability of customer AI solutions involving hundreds to thousands of GPUs.
• Partner with the sales team to identify new opportunities, promote products, and deliver technical presentations.
• Act as a bridge to product teams by providing customer feedback, relaying feature requests, and aligning products with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and drive alignment to address customer challenges.

Requirements

• 5–10+ years of experience in roles such as Cloud Solutions Architect, Technical Account Manager, or Customer Engineer.
• Hands-on experience with cloud services and AI/ML workloads.
• Proficiency with Infrastructure as Code tools such as Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including machine learning training and inference workloads, and GPU stacks such as CUDA and OpenCL.
• Customer-centric approach with the ability to build trust and foster long-term relationships.
• Ability to explain technical concepts to both technical and non-technical audiences.

Additional Qualifications

• Hands-on experience with HPC/ML orchestration frameworks such as Slurm and Kubeflow.
• Experience with deep learning frameworks such as PyTorch and TensorFlow.
• Familiarity with machine learning tools from NVIDIA, AWS, Azure, and Google Cloud.
• Strong project management skills, including prioritization and deadline delivery.
• Experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation and problem resolution.

Benefits

• Base compensation range: $208,800–$261,000 USD per year.
• 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan with up to a 4% company match and immediate vesting.
• Paid parental leave: 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
• Remote work reimbursement of up to $85 per month for mobile and internet expenses.
• Company-paid short-term disability, long-term disability, and life insurance.
• Career growth and learning opportunities.
• Flexibility and ownership.
• Collaborative and innovative culture.
• Opportunity to work on impactful AI projects.

Applicants must be authorized to work in the country in which they apply and must provide proof of employment eligibility as a condition of hire. Nebius is an equal opportunity employer.