C

CoreWeave

Rents GPU cloud computing for AI developers

Senior Manager - Field Engineering

Engineering LeadershipUpdated on Nov 13
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • A B.S. in Computer Science, Engineering, or a related technical field is required.
  • At least 8 years of experience in solutions architecture, infrastructure engineering, or cloud services is required, including at least 4 years in a leadership role.
  • A proven track record designing, deploying, and optimizing large-scale environments spanning cloud-native technologies is required.
  • Expertise in infrastructure frameworks, workload orchestration, performance tuning, and distributed systems is required.
  • Strong knowledge of Kubernetes, networking technologies, security practices, and enterprise storage systems is required.
  • Hands-on familiarity with distributed cloud-native and AI/ML workloads on GPU-based computing at scale is required.
  • The ability to lead, inspire, and develop high-performing teams is required.
  • Verbal and written communication skills sufficient to frame complex technical insights for diverse stakeholders are required.
  • Proven success in cross-functional collaboration and balancing multiple priorities in a high-growth environment is required.
  • Willingness to travel up to 30% to engage with customers, attend industry events, and support cross-functional collaboration is required.
  • Successful applicants must complete a basic criminal record check in compliance with GDPR; employment offers are conditional on satisfactory results.
  • Access to technology or source code subject to U.S. export control laws will be provided only in compliance with applicable requirements; limited information may be requested to assess export-control requirements.

Responsibilities

  • Recruit, coach, and lead a high-performing Solutions Architecture team with expertise in Kubernetes, high-performance computing, security, networking, and storage, fostering innovation and continuous learning.
  • Define and execute the regional technical go-to-market strategy with Sales, Product, Engineering, and Marketing to position the company on 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.
  • Understand customers’ complex AI and infrastructure requirements and translate them into scalable, production-ready solutions.
  • Align capacity management, data center operations, and fleet operations to support AI and high-performance workloads.
  • Establish key performance indicators, streamline workflows, and coordinate with Support to deliver measurable outcomes, rapid issue resolution, and strong customer experience.
  • Incorporate field feedback into product enhancements, roadmap priorities, and operational improvements.

Desired Qualifications

  • Familiarity with GPU-based computing and distributed workloads is a strong plus.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

Recently Posted Jobs

Explore more opportunities at CoreWeave

See more jobs