About the company
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.
Responsibilities
- Build, lead and coach a high-performing team of Enterprise Solutions Architects.
- Own the technical engagement model for the Enterprise segment in close partnership with Enterprise Sales leadership in your region, including how coverage and ownership are divided as the team expands.
- Set clear priorities, operating mechanisms and performance expectations for the Enterprise Solutions Architecture team.
- Engage directly with CIOs, CTOs, Heads of Infrastructure, Heads of AI/ML, Business leaders and other senior stakeholders.
- Champion the voice of Enterprise customers internally, provide guidance for Nebius's Product and Technology roadmap in Enterprise Readiness.
- Establish a strong culture focused on customer outcomes, technical excellence, business value and commercial impact.
Requirements
- 5+ years of experience in people-management, including hiring, coaching and developing senior technical professionals.
- 5+ years of experience working with Enterprise companies, with a deep understanding of how large organizations evaluate, purchase, adopt and expand strategic technology platforms.
- Proven experience in value engineering for Enterprise customers — translating technology investments and complex architectures into measurable business outcomes, economic value and compelling business cases.
- Ability to operate effectively across both the technical and business dimensions of complex Enterprise 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.
- Added bonus: Strong understanding of cloud-native infrastructure, including compute, storage, networking, security and Kubernetes; Experience with GPU-based infrastructure workloads, 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 Enterprise customers evaluate the economics of large-scale compute or GPU workloads.
Conditions
- Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan: Up to 4% company match with immediate vesting.
- Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote work reimbursement: Up to $85/month for mobile and internet.
- Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.
- Competitive compensation and benefits packages.
- Career growth and learning opportunities.
- Flexibility and ownership.
- Collaborative and innovative culture.
- Opportunity to work on impactful AI projects.
- International environment and talented teams.