3 months ago
Remote, EMEASenior
Responsibilities
- Own the technical relationship with strategic partners and act as the primary interface to Nebius engineering and product teams.
- Design and architect high-impact integration solutions that deliver joint customer value.
- Build and maintain reference implementations and production-grade integrations.
- Define enterprise-ready integration patterns covering networking, security, compliance, and observability.
- Translate partner and customer feedback into actionable product and roadmap requirements.
- Enable partner teams through technical documentation, training, and demonstration environments.
- Provide technical leadership during joint customer deployments, architecture reviews, and complex troubleshooting.
Requirements
- At least 5 years of experience in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies.
- Strong expertise in cloud infrastructure.
- Hands-on experience with GPU-accelerated AI/ML workflows, including training, inference, and MLOps.
- Proven experience with integration architecture, including API design, data pipelines, security, and observability.
- Experience with Python and infrastructure-as-code tools.
- Excellent communication skills with the ability to engage technical and non-technical stakeholders.
- Experience building or scaling partner technical programs or ecosystems is a bonus.
- Experience working with Snowflake, Databricks, AWS, Azure, or GCP is a bonus.
- Background in ML lifecycle activities such as training pipelines, fine-tuning, inference optimization, or RAG is a bonus.
Benefits
- Remote work from any EU country or office-based work in Amsterdam
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
Tech Stack
Categories
Solutions Engineering
About Nebius
Nebius builds a full-stack AI cloud offering GPU compute, storage, and tools for training and deploying ML models for startups, enterprises, and research labs. It sells consumption-based cloud infrastructure (IaaS/PaaS) and managed services tailored to generative AI workloads, including large-scale model training and inference. The company is headquartered in Amsterdam and operates as an independent provider.