Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Communication @ 6
GPU @ 4
Hiring @ 6
Kubernetes @ 7
MLOps @ 4
Machine Learning @ 4
Networking @ 7
Security @ 7
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Nebius is building a full-stack AI cloud platform for developers and enterprises, supporting workloads from data and model training through production deployment. The platform addresses large-scale GPU orchestration, inference optimization, compute, storage, networking, and applied AI.
As the Enterprise business expands, the Solutions Architecture Manager, Enterprise will lead the customer-facing Solutions Architecture organization for the Enterprise segment. This leadership role combines technology, enterprise strategy, and business value. The role involves building and leading a team of Solutions Architects, partnering with Enterprise Sales leadership, and engaging with senior technology and business executives at strategic customers. The position can be performed remotely within the United States.
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, including coverage and ownership as the team expands.
- Set 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 and provide guidance to Nebius's Product and Technology roadmap for Enterprise readiness.
- Establish a culture focused on customer outcomes, technical excellence, business value, and commercial impact.
Requirements
- 5+ years of people-management experience, 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 across 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 work effectively in a fast-growing environment where team structures, coverage boundaries, and scope of ownership continue to evolve.
Preferred Qualifications
- Strong understanding of cloud-native infrastructure, including compute, storage, networking, security, and Kubernetes.
- 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 Enterprise customers evaluate the economics of large-scale compute or GPU workloads.
Compensation
The base compensation range is $195,825–$244,725 USD. Actual compensation depends on job-related factors, including experience, skills, qualifications, hiring level, and geographic location.
Benefits
- 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan with up to a 4% company match and immediate vesting.
- Paid parental leave: 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
- Remote work reimbursement of up to $85 per month for mobile and internet.
- Company-paid short-term disability, long-term disability, and life insurance coverage.
- Career growth and learning opportunities.
- Flexibility and ownership.
- Collaborative and innovative culture.
- Opportunity to work on impactful AI projects.
- International environment and talented teams.
Nebius is an equal opportunity employer committed to an inclusive and diverse workplace. Applicants must be authorized to work in the country in which they apply and must provide proof of employment eligibility as a condition of hire.