
1001 - 5000 employees
đą Enterprise
âïž SaaS
AI âą Enterprise âą SaaS
Nebius Group is building one of the worldâs 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.
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1001 - 5000 employees
đą Enterprise
âïž SaaS
AI âą Enterprise âą SaaS
Nebius Group is building one of the worldâs 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.
âą Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product âą Design and architect high-impact integration solutions, delivering clear joint customer value âą Build and maintain reference implementations and production-grade integrations âą Define enterprise-ready integration patterns (networking, security, compliance, observability) âą Translate partner and customer feedback into actionable product and roadmap requirements âą Enable partner teams through technical documentation, training, and demo environments âą Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting
âą 5+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies âą Strong expertise in cloud infrastructure âą Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps) âą Proven background in integration architecture (API design, data pipelines, security, observability) âą Experience with Python and IaC tools âą Excellent communication skills with the ability to engage technical and non-technical stakeholders.
âą Competitive compensation âą Career growth and learning opportunities âą Flexibility and ownership âą Collaborative and innovative culture âą Opportunity to work on impactful AI projects âą International environment and talented teams
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