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 across the region .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in ML Infrastructure, MLOps Workflows, and AI Frameworks, with a strong focus on customer engagement and technical solution design. Proficient in managing pre-sales activities and collaborating with cross-functional teams to drive account expansion and customer satisfaction.

Highest-signal resume keywords

MLOps PlatformsAI FrameworksKubernetesML Training WorkflowsCustomer Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ML InfrastructureMLOps WorkflowsAI FrameworksKubernetesGPU ComputeModel ServingExperiment TrackingPipeline OrchestrationCluster ArchitectureNetworking

Soft Skills

CommunicationCollaborationProblem-Solving

Tools & Technologies

SalesforceJiraConfluence

Industry Keywords

Pre-SalesSolutions EngineeringAI/ML PlatformsCloud InfrastructureHPCExport-Control EligibilityCriminal Record Check

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 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

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
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

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