Values

The ad says“Experience with GPU-based infrastructure workloads and accelerated computing”
The ad says“Experience with Kubernetes-based AI/ML platforms, MLOps or AI infrastructure”
The ad says“Experience designing or supporting machine learning and AI workloads, including training and inference”
The ad says“Strong understanding of cloud-native infrastructure, including compute, storage, networking, security and Kubernetes”
The ad says“Strong understanding of cloud-native infrastructure, including compute, storage, networking, security and Kubernetes”
The ad says“Understanding of distributed AI/ML infrastructure and the compute, networking and storage considerations associated with large-scale GPU workloads”
The ad says“Experience with GPU-based infrastructure workloads and accelerated computing”
The ad says“Leadership experience within a public cloud, hyperscaler or rapidly scaling cloud infrastructure organization”
The ad says“Strong understanding of cloud-native infrastructure, including compute, storage, networking, security and Kubernetes”
The ad says“Experience designing or supporting machine learning and AI workloads, including training and inference”
The ad says“Experience with Kubernetes-based AI/ML platforms, MLOps or AI infrastructure”
The ad says“Strong understanding of cloud-native infrastructure, including compute, storage, networking, security and Kubernetes”
The ad says“Leadership experience within a public cloud, hyperscaler or rapidly scaling cloud infrastructure organization”
The ad says“Strong understanding of cloud-native infrastructure, including compute, storage, networking, security and Kubernetes”
The ad says“Strong understanding of cloud-native infrastructure, including compute, storage, networking, security and Kubernetes”

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 Director, Solutions Architecture 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

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

Asks for

Values

The role