At a Glance
- Tasks: Collaborate with a team to design AI solutions and engage with cutting-edge technology.
- Company: CoreWeave, the essential cloud for AI, trusted by top innovators.
- Benefits: Competitive salary, travel opportunities, and a chance to work with leading AI labs.
- Other info: Dynamic role with significant travel and excellent career growth potential.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: Experience in ML workflows and strong communication skills.
The predicted salary is between 70000 - 90000 £ per year.
CoreWeave is The Essential Cloud for AI™. 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.
What You’ll Do: 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. You’ll work as part of a focused three-person team alongside one Account Executive and one Account Manager, together responsible for landing new accounts and expanding within them across the region. The customers you’ll work with are AI labs, research institutions, and enterprises running some of the most demanding GPU workloads in the world. This is a role for someone who shows up with substance, who can hold a real conversation about model training and MLOps tooling in the morning and cluster networking in the afternoon, and who finds the space between infrastructure and application more interesting than either on its own.
About the Role: As an Account Solution Architect covering Northern EMEA, you’ll move across the full stack depending on what the customer needs, from ML training workflows and MLOps platforms like Weights & Biases to bare metal GPU infrastructure and physical AI deployments. This isn’t a role built around a single layer of the stack, but the majority of your conversations will live in the ML layer. You’ll be expected to go deeper than most when the infrastructure conversation demands it, while staying commercially aware enough to support both new logo pursuits and in-flight account expansion. This role requires up to 40% travel.
In this role, you will:
- 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.
Account Solution Architect employer: CoreWeave
CoreWeave is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among pioneers in the AI field. With a focus on employee growth, CoreWeave provides opportunities for professional development and hands-on experience with cutting-edge technology, all while being part of a supportive team dedicated to transforming the AI landscape across Northern EMEA. The company's commitment to its employees is reflected in its emphasis on meaningful work, competitive benefits, and a vibrant environment that encourages creativity and technical expertise.
StudySmarter Expert Advice🤫
We think this is how you could land Account Solution Architect
✨Tip Number 1
Network like a pro! Attend industry events, meetups, and conferences related to AI and cloud infrastructure. Engaging with professionals in the field can lead to valuable connections and potential job opportunities.
✨Tip Number 2
Show off your expertise! Create a portfolio or blog showcasing your knowledge on ML training workflows and MLOps tooling. This not only demonstrates your skills but also makes you memorable to potential employers.
✨Tip Number 3
Prepare for those interviews! Research CoreWeave and understand their technology stack. Be ready to discuss how your experience aligns with their needs, especially around GPU workloads and infrastructure solutions.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Make sure to tailor your application to highlight your relevant experience and how you can contribute to the team at CoreWeave.
We think you need these skills to ace Account Solution Architect
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and technology shine through. We want to see that you’re not just looking for a job, but that you’re genuinely excited about the role and the impact you can make in the AI space.
Tailor Your Experience:Make sure to highlight relevant experiences that align with the job description. We’re looking for someone who can engage in technical discussions, so don’t shy away from showcasing your knowledge in model training, MLOps, and infrastructure.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see how your skills and experiences fit the role without wading through unnecessary fluff.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive and keen to join our team!
How to prepare for a job interview at CoreWeave
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical aspects of ML training workflows, MLOps platforms, and GPU infrastructure. Brush up on relevant tools like Weights & Biases and be ready to discuss how they fit into the bigger picture of AI solutions.
✨Understand the Customer's Needs
Before the interview, research CoreWeave’s target customers, especially in the Nordics and Benelux regions. Be prepared to talk about how you can address their specific challenges and demonstrate your understanding of their industry.
✨Showcase Your Collaborative Spirit
Since you’ll be working closely with an Account Executive and Account Manager, highlight your teamwork skills. Share examples of how you’ve successfully collaborated in the past to land new accounts or expand existing ones.
✨Prepare for Technical Discovery
Expect to lead discussions around technical discovery during the interview. Practice articulating how you would approach understanding a customer's model training requirements and infrastructure constraints, as this will be key in your role.
