About the company
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. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, with a global footprint and R&D hubs across Europe, the UK, North America and Israel.
Responsibilities
- Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
- Design and architect high-impact integration solutions, delivering clear joint customer value
- Build and maintain reference implementations and production-grade integrations
- Define enterprise-ready integration patterns (networking, security, compliance, observability)
- Translate partner and customer feedback into actionable product and roadmap requirements
- Enable partner teams through technical documentation, training, and demo environments
- Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting
Requirements
- 5-10+ years 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 combination of education and relevant experience
- Deep cloud infrastructure expertise, with specialist experience in large-scale Kubernetes deployments and containerized environments
- Strong hands-on experience with Infrastructure as Code, especially Terraform
- Hands-on experience deploying production AI workloads, particularly inference, and architecting or implementing agentic solutions
- Proven background in integration architecture, including API design, data pipelines, security, and observability, with experience in Python
- Excellent communication skills with the ability to engage technical and non-technical
Nice to have
- Experience with HPC environments and large-scale GPU clusters
- Hands-on 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 the abstraction of managed Kubernetes services
Conditions
- Remote work from the United States
- 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
- 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