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Partner Solutions Architect
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ICT
💰 Salary Not shared
📊 Market 6,500 EUR–9,500 EUR/mo (78,000 EUR–114,000 EUR/yr)
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, without the cost and complexity of DIY cloud management. Our forward-thinking and creative team values open dialogue and collaboration, and we are committed to building an environment of mutual respect through our DEI&B efforts. We work with intellectually curious, kind, and ambitious people from all over the world. We believe in a workplace where you can be your authentic self, do the best work of your career, and thrive. We are Nebius, and we are building the AI era, from the infrastructure up.
About the Job
We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure. This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius' product roadmap and drive deep technical collaboration across partner ecosystems. You're welcome to work remotely from the United States or Canada.
Role & Responsibilities
- ● Own the technical relationship with assigned strategic technology partners, serving as their primary technical contact within Nebius.
- ● Design, develop, and deliver integrated solutions combining Nebius AI Cloud with partner technologies, including reference architectures, deployment guides, and proof-of-concepts.
- ● Collaborate with partner engineering teams to enable compatibility, performance optimization, and joint solution validation on GPU infrastructure.
- ● Drive technical partnerships end-to-end: from evaluating partner technologies and defining integration scope to co-developing solutions and supporting field deployments.
- ● Represent Nebius in technical discussions, workshops, and architectural reviews with partners and joint customers.
- ● Provide feedback to Nebius product and engineering teams based on partner and customer requirements, influencing the product roadmap.
- ● Support joint go-to-market activities including technical content creation, demo development, and participation in events or webinars.
Requirements
Education
- ● Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Experience
- ● 7+ years of experience in technical pre-sales, solutions architecture, partner engineering, or a related customer-facing technical role.
- ● Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX) and MLOps tools (e.g., MLflow, Kubeflow, Weights & Biases).
- ● Experience working with data platforms, data lakes, or data engineering pipelines.
- ● Experience with Kubernetes, Docker, and container orchestration in production environments.
- ● Experience working with hyperscaler cloud provider partner programs (AWS, GCP, Azure) is a plus.
Skills
- ● Strong understanding of cloud infrastructure, GPU computing, and distributed systems.
- ● Proven ability to design and build integrated solutions, write code or scripts for proofs-of-concept, and document technical architectures.
- ● Excellent communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.
- ● Familiarity with networking, storage, and security in cloud or data center environments.
Benefits
- ● Competitive base salary and participation in the Nebius AI bonus plan.
- ● Comprehensive benefits package including health, dental, and vision insurance.
- ● 401(k) retirement plan with employer match.
- ● Generous paid time off and flexible working hours.
- ● Remote work options within the US or Canada.
- ● Opportunities for professional development and growth in a supportive community.
- ● Access to cutting-edge AI and GPU technologies.
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