
Customer Engineer
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("Company in Remote - Europe"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€1,667–€14,523). The listed pay band (€417–€596) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 8 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Remote - Europe | €3,270/per month | €6,078/per month | €13,970/per month |
| Company in Remote - Europe | €1,667/per month | €3,350/per month | €14,523/per month |
The role We are looking for a Customer Engineer 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 for troubleshooting and resolving complex AI/ML issues. - 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+ years in roles like 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. - Strong project management skills, with the ability to prioritize tasks and deliver on deadlines. - Proven experience mentoring technical teams and driving team growth. - Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration. 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.
Job Details
Responsibilities
- Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues
- Guide customers in optimizing GPU performance for ML training and inference workloads
- 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
Requirements
- 5+ years experience in roles like Solutions Architect, Technical Account Manager, or Customer Engineer
- Hands-on experience in cloud services and AI/ML workloads
- Proficiency in Terraform and Ansible
Skills & Technologies

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