Solutions Architecture Director, EMEA

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As we continue to scale our business across EMEA, we are looking for an experienced Solutions Architecture Director, EMEA to lead our customer-facing Solutions Architecture organization across the region. This is a leadership role responsible for building, developing and scaling a high-performing Solutions Architecture organization across multiple countries and markets. You will partner closely with EMEA Sales leadership, establish the operating model for the regional team, and ensure our Solutions Architects consistently deliver outstanding technical leadership and business value to customers. The scope of the role reflects where the business is today; as we scale, we expect the organization to specialize and subdivide, and this leader will help shape and staff that evolution. We are looking for an experienced people leader who can build and empower strong teams while remaining close to customers, technology and our most strategic opportunities. You’re welcome to work remotely from Europe . Your responsibilities will include:   Build, lead and coach a high-performing Solutions Architecture team across multiple countries and markets in EMEA Own the Solutions Architecture engagement model for EMEA in close partnership with regional Sales leadership, including how coverage and ownership are divided as the team expands Establish clear priorities, operating mechanisms and performance expectations across the regional Solutions Architecture organization Develop and scale the organization as the business grows, including hiring, coaching and developing senior technical professionals and future leaders Engage directly with CIOs, CTOs, Heads of Infrastructure, Heads of AI/ML, Business leaders and other senior stakeholders across strategic customers and partners Champion the voice of EMEA customers internally and provide guidance for Nebius's Product and Technology roadmap We expect you to have:   Proven people-management experience , including hiring, coaching and developing senior technical professionals and leaders A strong track record of leading customer-facing technical teams across EMEA , with experience managing teams distributed across multiple countries and markets Demonstrated experience building, scaling and operating regional Solutions Architecture, Sales Engineering, Customer Engineering or similar technical organizations Strong player-coach mentality with the ability to operate effectively at both leadership and execution levels — from organizational strategy and talent development to direct engagement in strategic customer opportunities Deep understanding of the EMEA technology market and the ability to operate effectively across different countries, cultures, customer segments and levels of market maturity Ability to operate effectively across both the technical and business dimensions of complex customer engagements and influence C-level and senior stakeholders Excellent executive communication, presentation and stakeholder-management skills Ability to operate effectively in a fast-growing environment where team structures, coverage boundaries and scope of ownership will continue to evolve It will be an added bonus if you have:   Strong understanding of cloud-native infrastructure, including compute, storage, networking, security and Kubernetes Leadership experience within a public cloud, hyperscaler or rapidly scaling cloud infrastructure organization Experience with GPU-based infrastructure workloads and accelerated computing Experience designing or supporting machine learning and AI workloads , including training and inference Understanding of distributed AI/ML infrastructure and the compute, networking and storage considerations associated with large-scale GPU workloads Experience with Kubernetes-based AI/ML platforms, MLOps or AI infrastructure Experience helping customers evaluate the economics of large-scale compute or GPU workloads #LI-PL1 Benefits & Perks: 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 Wha