4 hours ago
Singapore, SingaporeSenior
Responsibilities
- Own the technical relationship with strategic partners and serve 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 networking, security, compliance, and observability integration patterns.
- Translate partner and customer feedback into actionable product and roadmap requirements.
- Enable partner engineering teams through technical documentation, training, and demo 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 and 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 Singapore
- 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
The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.