
AI • Enterprise • SaaS
Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
1001 - 5000 employees
🏢 Enterprise
☁️ SaaS
September 17

AI • Enterprise • SaaS
Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
1001 - 5000 employees
🏢 Enterprise
☁️ SaaS
• 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.
• 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. • (Added bonus) Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow). • (Added bonus) Experience with deep learning frameworks (e.g., PyTorch, TensorFlow). • (Added bonus) Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers. • (Added bonus) Strong project management skills, with the ability to prioritize tasks and deliver on deadlines. • (Added bonus) Proven experience mentoring technical teams and driving team growth. • (Added bonus) Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.
• 100% company-paid medical, dental, and vision coverage for employees and families. • 401(k) Plan: Up to 4% company match with immediate vesting. • Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. • Remote Work Reimbursement: Up to $85/month for mobile and internet. • Company-paid short-term, long-term, and life insurance coverage.
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