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About the Role

As an Account Solution Architect covering Northern EMEA, you’ll move across the full stack depending on customer needs, from ML training workflows and MLOps platforms to bare metal GPU infrastructure and physical AI deployments. The majority of your conversations will focus on the ML layer, but you'll go deeper into infrastructure when required, while remaining commercially aware to support new logo pursuits and account expansion. This role requires up to 40% travel.

Responsibilities

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.

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 the tooling AI teams use day-to-day.
Experience with AI frameworks such as PyTorch, TensorFlow, or JAX.
Comfortable going below the SaaS layer when the conversation demands it.
Hands-on experience with Kubernetes and containerized workloads at scale.
Strong communication skills.
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 (H100, A100, H200) and the software stack around them: CUDA, NCCL, cuDNN.
Working knowledge of high-performance networking concepts: InfiniBand, RDMA, RoCE, TCP/IP.
Background working directly with AI labs, research institutions, or enterprise ML teams.
Exposure to physical AI use cases and the infrastructure requirements they bring.
Experience with Salesforce, Jira, Confluence, or similar tools.
Comfortable going one layer deeper than the demo.
Experience working across more than one layer of the stack.
Thrive in a fast-moving environment and take ownership of your region.
A natural collaborator who makes the people around you better at their jobs.
Successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR.

Skills

AI/ML platforms
Cloud infrastructure
HPC
ML training
ML inference
Model deployment
MLOps platforms
Experiment tracking
Pipeline orchestration
Model serving
PyTorch
TensorFlow
JAX
GPU topology
Network fabric
Cluster architecture
Kubernetes
Containerized workloads
Communication
Salesforce
Jira
Confluence
NVIDIA GPU architectures
CUDA
NCCL
cuDNN
InfiniBand
RDMA
RoCE
TCP/IP

Location

Northern EMEA
Nordics
Benelux regions
Sweden
Norway
Denmark
Finland
Netherlands
Belgium
Luxembourg

Work Type

Full-time
Hybrid

Experience Level

3+ years

Salary/Compensations

The starting salary will be determined by job-related knowledge, skills, experience, and the market location.
In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Benefits

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

About the Company

The infrastructure powering the AI era doesn’t sell itself, and the customers building on it don’t want to be sold to. They want a peer.
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.
We're proud to be a Living Wage accredited Employer.
At CoreWeave, we work hard, have fun, and move fast!
We’re in an exciting stage of hyper-growth that you will not want to miss out on.
We’re not afraid of a little chaos, and we’re constantly learning.
Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core, Act Like an Owner, Empower Employees, Deliver Best-in-Class Client Experiences, Achieve More Together.
We support and encourage an entrepreneurial outlook and independent thinking.
We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems.
As we get set for takeoff, the growth opportunities within the organization are constantly expanding.
You will be surrounded by some of the best talent in the industry, who will want to learn from you, too.

Equal Opportunity

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace.
All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.