Nebius
Key Customers Solutions Architect EMEA
Remote work allowed only within certain countries or regions.
Europe
Employer listed it 3 weeks ago · Added 2 days ago
Been open since 3 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Europe
Timezone
GMT
Contract
Full-time
Experience
Mid
Category
Sales
This employer didn't state pay. Jobs like this usually pay around $120k–$225k a year, a typical range taken from 588 mid-level sales roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in Europe.
What the employer says
- Source listing states candidate location: "Finland; France; Germany; Netherlands; Remote - Europe; Spain; Sweden; United Kingdom, Amsterdam"
- Job description states: "authorized to work in the country in which they apply an"
What Nomaders makes of it
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the 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.
The role
Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.
You’re welcome to work remotely from Europe.
Your responsibilities will include:
Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.
We expect you to have:
Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
Experience with Kubernetes and Python programming.
Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
Customer-centric approach with a proven ability to build trust and foster long-term relationships.
Strong ability to explain technical concepts to technical and non-technical audiences.
It will be an added bonus if you have:
Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
Requirements
- ·Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
- ·Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
- ·Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
- ·Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
- ·Proven experience mentoring technical teams and driving team growth.
Benefits
- ·Competitive compensation
- ·Career growth and learning opportunities
- ·Flexibility and ownership
- ·Collaborative and innovative culture
- ·Opportunity to work on impactful AI projects
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Nebius, mentioning your remote working experience and working hours (GMT).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 3d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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