Director, Solutions Architecture - Enterprise at Nebius

Job description

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 expand our Enterprise business, we are looking for an experienced Director - Solutions Architecture, Enterprise to lead our customer-facing Solutions Architecture organization for the Enterprise segment. This is a leadership role at the intersection of technology, enterprise strategy and business value . You will build and lead a high-performing team of Solutions Architects, partner closely with Enterprise Sales leadership, and engage directly with senior technology and business executives at some of our most strategic 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. You’re welcome to work remotely in the United States. Your responsibilities will include: 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. We expect you to have: 5+ years of experience in people-management, including hiring, coaching and developing senior technical professionals. 10+ 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 It will be an added bonus if you have: 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. Key employee benefits in the US: 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. #LI-SM2 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,825 — $244,725 USD 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.

Requirements

Must-haves

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.
5+ years of experience in people-management, including hiring, coaching and developing senior technical professionals.
10+ years of experience working with Enterprise companies, with a deep understanding of how large organizations evaluate, purchase, adopt and expand strategic technology platforms.
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
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.
Remote work reimbursement: Up to $85/month for mobile and internet.
#LI-SM2 Pay Transparency
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects

Nice-to-haves

It will be an added bonus if you have:

Application prep

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Keywords to mirror

aimlkubernetesmachine learning

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Parental Leave