Manager, ML Solutions Architecture

Job not on LinkedIn

🔥 7 minutes ago

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 25%

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

• Lead an EU regional team of 8 Solutions Architects, including 1:1s, goal setting, performance reviews, promotion cases, and growth plans • Allocate accounts and engagements based on expertise and interest • Surface blockers and coordinate with development, product, and business teams to resolve them • Hold team members accountable for delivery outcomes and reflect performance in ratings and compensation decisions • Onboard and coach Solutions Architects toward independent delivery and increased scope • Own delivery outcomes including PoC-to-endpoint time, success-criteria hit rate, and post-production technical relationships • Review benchmarking methodologies, serving configurations, results, and closure documents before customer delivery • Ensure staffing and escalation coverage across accounts and timezones • Identify infeasibility early using evidence • Maintain and extend documentation, runbooks, guides, onboarding materials, definitions of done, and closure templates • Ensure documentation is used and ticket tracking remains the system of record • Define and report delivery speed and reliability metrics • Translate recurring customer pain into prioritized platform work with development and research teams • Manage scoping-to-execution boundaries with pre-sales • Coordinate production handoffs and post-sales technical requests with account management • Report account health, technical feasibility, and capacity needs to business and leadership

🎯 Requirements

• 3+ years managing technical teams, including performance management and difficult conversations • Experience managing a customer-facing team • Strong ML knowledge: LLM architectures, SFT/LoRA, RL-based fine-tuning, evaluation design, quantization, KV-cache management, batching, routing, speculative decoding, vLLM, SGLang, and TensorRT-LLM • Technical judgment to review benchmark methodology and identify flaws • Python strong enough to read and review code • Excellent communication skills for diverse audiences, including enterprise customers under pressure • Tolerance for documentation, process design, reporting, and operational follow-through • Comfort operating with ambiguity across distributed teams and timezones • Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility • Bonus qualifications include rapid team scaling, customer-facing technical experience at a cloud/inference/AI infrastructure provider, production LLM operations, multimodal AI, Docker, Kubernetes, and infrastructure-as-code

🏖️ 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