Account Solutions Architect – Greenfield

🔥 16 hours ago

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 14%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CoreWeave

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Work as part of a three-person team with one Account Executive and one Account Manager to land new accounts and expand existing accounts across the region • 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 orchestration, and MLOps tooling • Run proof-of-concept engagements and architecture reviews through to a decision • Support new-logo pursuits and in-flight account expansion • Act as the internal voice of the customer, communicating technical requirements and product gaps to Engineering and Product • Maintain documentation of customer architectures, solution designs, and outstanding technical questions • Travel up to 40%

🎯 Requirements

• 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 • Must satisfy export-control eligibility requirements: be a U.S. person, eligible without export authorization, or eligible and reasonably likely to obtain required authorization • Successful applicants must complete a basic criminal record check • Preferred: familiarity with NVIDIA GPU architectures and CUDA, NCCL, cuDNN • Preferred: knowledge of InfiniBand, RDMA, RoCE, and TCP/IP • Preferred: background working directly with AI labs, research institutions, or enterprise ML teams • Preferred: exposure to physical AI use cases • Preferred: experience with Salesforce, Jira, Confluence, or similar tools

🏖️ Benefits

• 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

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