Senior Manager, Field Engineering
CoreWeave Europe
| Company | CoreWeave Europe |
| Category | Engineering |
| Location | London |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 23 Jan 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer career page (greenhouse) |
Description
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. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com .
We're proud to be a Living Wage accredited Employer.
What You’ll Do:
The Field Engineering organization at CoreWeave is dedicated to ensuring every customer running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. Field Engineering aligns closely with internal and customer engineering teams, offering valuable insights from the field and the chance to shape the CoreWeave product roadmap and development.
About the role:
We are on the hunt for an exceptional Senior Manager, Specialist Field Engineering to lead a regional team of subject matter experts across Kubernetes, Storage, High-Performance Computing, Networking, Security, and Compute Infrastructure . Together, this team will design and deliver next-generation environments that power the world's most demanding workloads.
This role works closely with leaders across Specialist Field Engineering, Technical Support Engineering, Sales, and Product Engineering. If you are passionate about advanced infrastructure and have a proven ability to hire, mentor, and inspire technical talent—then we'd love to hear from you!
In this role, you will:
Recruit, coach, and lead a high-performing Solutions Architecture team with deep expertise in Kubernetes, HPC, security, networking, and storage, fostering a culture of innovation and continuous learning.
Define and execute the regional technical go-to-market strategy, partnering with Sales, Product, Engineering, and Marketing to position CoreWeave as the market leader in performance, flexibility, and scalability.
Act as executive sponsor for strategic customers, guiding them from initial concept through large-scale architectures, proofs of concept, and production deployments.
Partner closely with customers to understand complex AI and infrastructure requirements and translate them into scalable, production-ready solutions.
Align capacity management, data center operations, and fleet operations to support the unique demands of AI and high-performance workloads.
Establish KPIs, streamline workflows, and coordinate with Support to ensure measurable outcomes, rapid issue resolution, and exceptional customer experience.
Drive continuous improvement by incorporating field feedback into product enhancements, roadmap priorities, and operational excellence in a high-growth environment.
Who You Are:
B.S. in Computer Science, Engineering, or a related technical field
8+ years in solutions architecture, infrastructure engineering, or cloud services, with a t least 4 years in a leadership role
Proven track record designing, deploying, and optimizing large-scale environments spanning cloud native technologies
Familiarity with GPU-based computing and distributed workloads is a strong plus
Expertise in infrastructure frameworks, workload orchestration, performance tuning, and distributed systems
Strong knowledge of Kubernetes , networking technologies , security practices , and enterprise storage systems
Hands-on familiarity with distributed cloud-native and AI/ML workloads on GPU-based computing at scale
Exceptional ability to lead, inspire, and develop high-performing teams , building an envir
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