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CoreWeave

Account Solutions Architect – Greenfield

CoreWeave

. Work as part of a three-person team with one Account Executive and one Account Manager to land new accounts and expand existing accounts .

Posted 11/3/2026full-timeRemote • FranceMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in MLOps workflows, AI/ML platforms, and cloud infrastructure, with a strong ability to design and present technical solutions. Proficient in managing customer engagements and translating technical requirements to engineering teams.

Highest-signal resume keywords
MLOps WorkflowsAI Frameworks (PyTorch, TensorFlow, JAX)Kubernetes and Containerized WorkloadsGPU Architecture and CUDAPre-Sales Solutions Engineering

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
ML Training and Inference WorkflowsExperiment TrackingPipeline OrchestrationModel ServingNetworking (TCP/IP, InfiniBand, RDMA, RoCE)Technical DocumentationArchitecture ReviewsProof-of-Concept EngagementsAccount Expansion StrategiesGeographic Territory Management
Soft Skills
CommunicationCollaborationCustomer AdvocacyProblem-SolvingTeamwork
Tools & Technologies
SalesforceJiraConfluenceMLOps ToolingGPU Compute Infrastructure
Industry Keywords
AI/ML PlatformsCloud InfrastructureHigh-Performance Computing (HPC)NordicsBenelux

Tech Stack

Tools & technologies
CloudKubernetesPyTorchTCP/IPTensorflow

About the role

Key responsibilities & impact
  • 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%

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 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