Partner Solutions Architect

Job not on LinkedIn

🕒 July 16

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 38%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • 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.

📋 Description

• Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product • Design and architect high-impact integration solutions, delivering clear joint customer value • Build and maintain reference implementations and production-grade integrations • Define enterprise-ready integration patterns (networking, security, compliance, observability) • Translate partner and customer feedback into actionable product and roadmap requirements • Enable partner teams through technical documentation, training, and demo environments • Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting

🎯 Requirements

• 5+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies • Strong expertise in cloud infrastructure • Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps) • Proven background in integration architecture (API design, data pipelines, security, observability) • Experience with Python and IaC tools • Excellent communication skills with the ability to engage technical and non-technical stakeholders.

🏖️ Benefits

• 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