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Partner Solutions Architect

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Remote from
Europe
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
26 Nov 2026
Listing views
14
Application actions
1
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AI Summary

The role, at a glance.

Nebius is seeking a senior Partner Solutions Architect to enable VAR and technology partners to build, validate, package, and sell AI cloud solutions. The role combines cloud architecture, technical presales, partner enablement, and joint go-to-market execution across sales, product, and engineering teams. The successful candidate will lead discovery sessions, define proof-of-concept criteria, develop joint value propositions, and improve partner readiness through repeatable programs. Strong expertise in cloud compute, storage, networking, security, and commercial partner models is required, while Kubernetes, Terraform, GPU workloads, and AI/ML infrastructure are valuable advantages. This is a remote role available across EU countries, with Amsterdam office work offered as an option.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior cross-functional role requiring deep cloud architecture knowledge alongside partner strategy, commercial judgment, and influence without direct authority. Success depends on coordinating multiple organizations and translating complex AI infrastructure capabilities into repeatable customer outcomes.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$155,000
US market range (per year)$130k–$185k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The annual USD figures are estimated market compensation for a senior partner solutions architect focused on cloud and AI infrastructure; the yearly cadence is inferred from the full-time senior professional role.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How have you enabled channel partners to independently position and deliver a technical solution?

I start by identifying the partner’s target customers, technical capabilities, and commercial model. I then build role-specific enablement for sales, presales, and delivery teams, including positioning, reference architectures, discovery guides, and validation processes. I measure progress through partner-led opportunities, solution adoption, and customer wins, then refine the program based on gaps in readiness.

How would you develop a joint value proposition for Nebius and a technology partner?

I would first identify shared target segments and high-value use cases, then map how each platform contributes to the customer outcome. I would define the technical integration, differentiation from alternatives, implementation approach, and measurable business value. Finally, I would validate the proposition with both partner and Nebius stakeholders before creating customer-facing messaging and enablement assets.

Describe your approach to leading a joint customer proof of concept with a partner.

I align all stakeholders on the customer problem, technical scope, responsibilities, timeline, and explicit success criteria before work begins. During execution, I coordinate partner specialists and internal experts, manage risks and dependencies, and maintain frequent communication with the customer. At completion, I translate technical results into a deployment recommendation, commercial next steps, and reusable learning for future opportunities.

How do you explain cloud architecture trade-offs to both engineering teams and business leaders?

For engineering audiences, I discuss performance, reliability, security, scalability, integration complexity, and operational constraints. For business leaders, I frame the same decision around time to value, cost, risk, customer impact, and strategic flexibility. I ensure both groups understand the assumptions behind the recommendation and agree on the outcomes that matter most.

What metrics would you use to assess the effectiveness of a partner enablement program?

I would track partner training completion and technical readiness, but focus primarily on business outcomes. Core metrics include partner-sourced and partner-influenced pipeline, number of validated joint solutions, proof-of-concept conversion, partner-led deployments, adoption growth, and customer wins. Qualitative feedback from partner teams and customers also helps identify where content, processes, or product integrations need improvement.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

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 role

We 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.

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities:

  • 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.

What you bring

  • 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.

Added bonuses

The following experience would be valuable but is not required for the role:

  • 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.

I-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.

Apply now >

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