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.
Customer experience:
Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.
The roleWe are looking for an experienced Partner Solutions Architect with a proven track record of enabling both value-added resellers (VARs) and technology partners. You will help partners build differentiated offerings on Nebius, enable Channel joint value propositions and take those solutions to market.
You will own the technical partner relationship, connecting partner sales, presales, product and engineering teams with their counterparts at Nebius. Combining cloud architecture expertise with commercial judgment, you will help partners win customers and grow adoption through repeatable solutions and effective enablement.
Your responsibilities will include:
- Develop joint value propositions that combine Nebius with partner products or services, defining target customers, priority use cases, technical differentiation and business outcomes.
- Work with Channel and Nebius sales and marketing teams on joint go-to-market plans, account opportunities, co-selling activities, solution messaging and customer presentations.
- Lead joint customer discovery and solution discussions. Agree proof-of-concept success criteria and coordinate partner and Nebius specialists through technical validation and deployment planning.
- Enable VAR partners to qualify opportunities, position Nebius, design customer solutions and package their implementation or managed services around our platform.
- Help technology partners, including software vendors and data or AI platforms, define joint solutions, integration priorities and validation plans with their product and engineering teams.
- Build lasting relationships with partner engineering teams. Translate requirements and customer feedback into actionable plans, coordinate experts and influence product priorities.
- Track partner readiness, joint solution adoption and contributions to pipeline and customer wins. Use these results to improve enablement and scale successful partner activities.
We expect you to have:
- 5+ years in solutions architecture, technical presales or partner technical roles, with substantial experience supporting Channel and Technology partnerships.
- Demonstrated success enabling both VARs and technology partners, including examples of partners independently positioning solutions, pursuing opportunities or delivering joint offerings.
- Experience building joint value propositions and taking partner solutions to market, with evidence of customer wins, adoption growth or commercial impact.
- A track record of building partner enablement programs and adapting content for sales, presales and engineering audiences.
- Strong cloud architecture fundamentals across compute, storage, networking and security, with the ability to explain trade-offs and connect technical decisions to customer needs.
- Experience earning trust with partner engineering and product teams, working effectively with internal engineers and coordinating delivery across organizations without direct authority.
- Clear communication with engineers and business leaders, sound commercial judgment and an understanding of how resellers and technology partners make money.
- A relevant degree or equivalent professional experience, plus curiosity about AI infrastructure and the ability to learn new platforms quickly.
It will be an added bonus if you have:
- Hands-on Kubernetes and container platform experience, including deployment automation with tools such as Terraform.
- Experience with GPU-based workloads, HPC or distributed AI/ML workloads, including training, fine-tuning, inference or MLOps.
- Practical integration development using APIs, Python or infrastructure as code, or experience building reference implementations and technical demonstrations.
- Familiarity with AI software ecosystems or partner solutions built around major cloud and data platforms.
Key Employee Benefits: #LI-RB2
- 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.
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.
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.
Skills Required
- 5–10+ years of experience in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
- Bachelor’s degree or foreign equivalent in a related field, or equivalent education and relevant experience
- Deep cloud infrastructure expertise
- Specialist experience in large-scale Kubernetes deployments and containerized environments
- Hands-on experience with Infrastructure as Code, especially Terraform
- Hands-on experience deploying production AI workloads, particularly inference
- Experience architecting or implementing agentic solutions
- Integration architecture experience, including API design, data pipelines, security, and observability
- Experience with Python
- Excellent communication skills with technical and non-technical audiences
- Experience with HPC environments and large-scale GPU clusters
- Experience across the ML lifecycle, including training, fine-tuning, and RAG
- Practical experience building AI agents, particularly with LangChain
- Experience with partner technical programs, major cloud or data platforms, or enterprise compliance standards
- Deep understanding of advanced Kubernetes infrastructure concepts beyond managed Kubernetes services
Nebius Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nebius and has not been reviewed or approved by Nebius.
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Fair & Transparent Compensation — Pay is considered competitive or good across many roles, with overall sentiment leaning positive. While experiences vary by team and location, compensation frequently stands out as a strength.
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Flexible Benefits — Work arrangements are described as remote-friendly with hybrid options and flexibility across time zones. Some roles reference home-office stipends that support distributed work.
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Healthcare Strength — Company materials and job postings describe comprehensive employer-paid medical, dental, and vision coverage for employees and families. Details may vary by country and entity.
Nebius Insights
What We Do
Cloud platform specifically designed to train AI models
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