Principal Solutions Architect

London · Amsterdam · Paris · Berlin · Remote - EuropeRemotelead

EngineeringSolutions ArchitectSoftware ArchitectSoftware Engineering

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Quick Summary

Key Responsibilities

Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness Serve as a trusted technical advisor to customer stakeholders,

Technical Tools

EngineeringSolutions ArchitectSoftware ArchitectSoftware Engineering

Responsibilities

~1 min read

→Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness
→Serve as a trusted technical advisor to customer stakeholders, including CTOs, Heads of AI/ML, and platform engineering teams
→Deliver compelling technical presentations, demos, and workshops that clearly communicate the value of Nebius across different customer segments
→Execute demos and PoCs to demonstrate performance, scalability, and cost efficiency of Nebius solutions
→Translate customer requirements into scalable, production-ready architectures and best practices
→Collaborate closely with Sales, Product, and Engineering to align customer needs with Nebius capabilities and roadmap
→Act as a technical advocate for customers internally, ensuring feedback is incorporated into product and go-to-market strategy
→Support regional go-to-market efforts, including events, meetups, webinars, and technical content creation
→Contribute to building repeatable technical playbooks and assets for the European market

2–5+ years of experience in technical roles such as Solutions Architect, Cloud Architect, Sales Engineer, or similar, with strong customer-facing exposure
Proven experience in presales or customer-facing technical roles, including discovery, solution design, and PoC execution
Strong ability to deliver technical pitches and clearly explain complex infrastructure and AI/ML concepts to both technical and business audiences
Experience positioning cloud or infrastructure solutions and articulating value propositions in competitive environments
Solid understanding of ML/AI workloads, including training and inference, and the underlying infrastructure requirements
Experience with cloud platforms, Kubernetes, and distributed systems
Hands-on experience with Infrastructure as Code (e.g., Terraform) and scripting/programming (Python preferred)
Strong communication and storytelling skills, with the ability to adapt messaging across different customer segments
Deep understanding of the European market, including customer expectations, buying behaviors, and local ecosystem
Fluency in English plus another language preferred (both written and spoken), with the ability to engage confidently with local customers and stakeholders
A highly customer-centric mindset, with the ability to balance technical depth and business value

Nice to Have

~1 min read

Experience with GPU-accelerated workloads and AI infrastructure (NVIDIA ecosystem, CUDA, etc.)
Hands-on experience with MLOps tools and frameworks (Kubeflow, MLflow, etc.)
Familiarity with HPC environments and schedulers (e.g., Slurm)
Experience contributing to regional go-to-market or developer/community initiatives