
11 - 50 employees
Founded 2017
💼 Consulting
🏭 Manufacturing
📦 Logistics
💰 $100M Debt Financing on 2022-12
Consulting • Manufacturing • Logistics
CoreWeave is a cloud service provider that specializes in purpose-built infrastructure designed for AI workloads. Known as the AI Hyperscaler™, CoreWeave offers a range of products including GPU and CPU compute services, storage solutions, and networking services optimized for deep learning, AI model training, and rendering applications. With a robust cloud platform, CoreWeave simplifies complex infrastructure management, ensuring reliability, scalability, and high-performance computing suitable for leading AI labs and enterprises.
🔥 20 hours ago
Where this job comes from
Posted on CoreWeave's careers page, not through a job board
First seen by Remote Rocketship 20 hours ago
Still open on CoreWeave's site. Checked 3 minutes ago.

11 - 50 employees
Founded 2017
💼 Consulting
🏭 Manufacturing
📦 Logistics
💰 $100M Debt Financing on 2022-12
Consulting • Manufacturing • Logistics
CoreWeave is a cloud service provider that specializes in purpose-built infrastructure designed for AI workloads. Known as the AI Hyperscaler™, CoreWeave offers a range of products including GPU and CPU compute services, storage solutions, and networking services optimized for deep learning, AI model training, and rendering applications. With a robust cloud platform, CoreWeave simplifies complex infrastructure management, ensuring reliability, scalability, and high-performance computing suitable for leading AI labs and enterprises.
• Work as part of a three-person team with one Account Executive and one Account Manager to land new accounts and expand existing accounts • Cover Northern EMEA, focusing on the Nordics and Benelux regions • Lead technical discovery with prospects and existing customers • 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 through to a decision • Act as the internal voice of the customer and communicate technical requirements and product gaps to Engineering and Product • Maintain documentation of customer architectures, solution designs, and outstanding technical questions • Support new logo pursuits and in-flight account expansion • Travel up to 40%
• 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 • Hands-on familiarity with MLOps platforms and tooling, including experiment tracking, pipeline orchestration, and model serving • Experience with AI frameworks such as PyTorch, TensorFlow, or JAX • Familiarity with GPU topology, network fabric, and cluster architecture • Hands-on experience with Kubernetes and containerized workloads at scale • Experience managing multiple concurrent opportunities across a geographic territory • Fluency in English required • Proficiency in Dutch, Swedish, Norwegian, Danish, or Finnish is a plus • Familiarity with NVIDIA GPU architectures and CUDA, NCCL, and cuDNN is preferred • Working knowledge of InfiniBand, RDMA, RoCE, and TCP/IP is preferred • Background working directly with AI labs, research institutions, or enterprise ML teams is preferred • Exposure to physical AI use cases is preferred • Experience with Salesforce, Jira, Confluence, or similar tools is preferred • Successful applicants must complete a basic criminal record check • Applicant must satisfy applicable U.S. export-control eligibility requirements
• Discretionary bonus • Equity awards • Family-level Medical Insurance • Family-level Dental Insurance • Generous Pension Contribution • Life Assurance at 4x Salary • Critical Illness Cover • Employee Assistance Programme • Tuition Reimbursement • Work culture focused on innovative disruption • Competitive salary • Growth opportunities • Collaboration and development in an innovative environment
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