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NEXTMOVEFDE careers · United States
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Technical Solutions Manager

AI summary of the role

CoreWeave seeks a Technical Solutions Manager to own technical customer relationships for AI/GPU cloud infrastructure.

What you’ll do

  • Lead strategic technical customer relationships to ensure adoption and satisfaction
  • Define customer requirements for AI/ML workloads and integration points
  • Drive end-to-end program execution including planning, resource management, and risk assessment
  • Influence product strategy by gathering and communicating customer feedback to Product and Engineering

What you’ll bring

  • B.S. in Computer Science or related technical discipline, or equivalent experience
  • 5+ years in technical program management, customer success, or professional services delivery with cloud infrastructure and AI/ML focus
  • Experience with client management in cloud infrastructure, ideally with Kubernetes, GPU compute, AI/ML, and HPC fundamentals
  • Proven track record of coordinating multiple teams to deliver complex projects with senior stakeholder visibility

Technologies

GPU · Kubernetes · AI/ML · high-performance computing · cloud infrastructure

Source and classification

Customer adoption & accounts · Evidence for this classification:

our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the Role: We are seeking a remarkable Technical Solutions Manager who shares our passion and has a deep understanding of GPU infrastructure & AI applications to join our CX Organization. The team is responsible for educating prospective customers on the technical value of CoreWeave, designing and defining customer deliverables and integration points, onboarding and enabling customers, and ensuring the successful ongoing operations of CoreWeave within customer environments. In this role, you will: Lead Strategic Customer Relationships: Ownership of technical customer relationships to ensure successful adoption and customer satisfaction. Define
More from the job 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. What You’ll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client 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. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the Role: We are seeking a remarkable Technical Solutions Manager who shares our passion and has a deep understanding of GPU infrastructure & AI applications to join our CX Organization. The team is responsible for educating prospective customers on the technic [... source excerpt omitted ...] reWeave, designing and defining customer deliverables and integration points, onboarding and enabling customers, and ensuring the successful ongoing operations of CoreWeave within customer environments. In this role, you will: Lead Strategic Customer Relationships: Ownership of technical customer relationships to ensure successful adoption and customer satisfaction. Define Customer Requirements: Collaborate with customers and partners to define technical requirements that meet the customer's needs for AI/ML. Drive End-to-End Program Execution: Oversee the execution of complex programs, including planning, resource management, risk assessment, and internal/external stakeholder [... source excerpt omitted ...] with Stakeholders/Influence product strategy: Gather, document, and communicate program requirements to ensure clarity, feasibility, and alignment with critical objectives. Share customer feedback with Product Management and Engineering, influencing product direction. Foster Collaboration: Facilitate effective communication among various teams, including engineering, product management, operations, support, and sales. Build Strong Relationships: Establish and maintain strong relationships with stakeholders to align program objectives and secure necessary resources and support. Proactively Manage Risks: Identify potential risks and issues throughout the program and proactively

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