Account Solution Architect

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.

• Cover Northern EMEA, with a focus on the Nordics and Benelux regions (Sweden, Norway, Denmark, Finland, Netherlands, Belgium, and Luxembourg).
• Work closely with one Account Executive and one Account Manager as a dedicated three-person unit, supporting the full land and expand motion across the region.
• Lead technical discovery with prospects and existing customers to understand model training requirements, MLOps workflows, and infrastructure constraints.
• Design and present solutions spanning ML infrastructure, GPU compute, storage, networking, Kubernetes-based orchestration, and MLOps tooling.
• Run proof-of-concept engagements and architecture reviews, and see them through to a decision.
• Act as the internal voice of the customer, feeding technical requirements and product gaps back to Engineering and Product.
• Maintain clear documentation of customer architectures, solution designs, and outstanding technical questions.

• 3+ years in a pre-sales, solutions engineering, or solutions architecture role, ideally with a focus on AI/ML platforms, cloud infrastructure, or HPC.
• Strong working knowledge of ML training and inference workflows - you understand how models are built, optimized, and deployed, not just where they run.
• Hands-on familiarity with MLOps platforms and the tooling AI teams use day-to-day, including experiment tracking, pipeline orchestration, and model serving.
• Experience with AI frameworks such as PyTorch, TensorFlow, or JAX.
• Comfortable going below the SaaS layer when the conversation demands it - GPU topology, network fabric, and cluster architecture shouldn’t be unfamiliar territory.
• Hands-on experience with Kubernetes and containerized workloads at scale.
• Strong communication skills - you can adjust your register from a research engineer to a VP of Infrastructure without losing credibility at either end.
• Experience managing multiple concurrent opportunities across a geographic territory.
• Fluency in English required; proficiency in Dutch, Swedish, Norwegian, Danish, or Finnish is a plus.

• Up to 40% travel required.