Enterprise GTM Leader

CoreWeave•Sunnyvale, CA

1d•$191,000 - $281,000•Hybrid

About The Position

CoreWeave is building the infrastructure powering the AI economy. As enterprises rapidly move from experimentation to production AI systems, the need for specialized GPU infrastructure and scalable deployment frameworks has never been greater. CoreWeave’s cloud platform is designed specifically for high-performance AI workloads, enabling organizations to train, fine-tune, and deploy large-scale models faster and more efficiently. The Specialists and Integrations team sits at the center of this transformation. Our mission is to ensure the world’s most advanced enterprises don’t just purchase compute — they successfully operationalize AI on CoreWeave at massive scale. As the Enterprise Technical GTM Leader, you will define and execute the technical go-to-market strategy for CoreWeave’s most strategic enterprise customers. You will partner with Sales, Solutions Architecture, Product, and Engineering to guide complex AI infrastructure deployments from initial proof-of-concept to full production environments running at scale. This is a highly visible leadership role responsible for shaping how enterprises adopt GPU infrastructure for next-generation AI workloads. You will influence deal strategy for multi-million-dollar engagements, build repeatable deployment frameworks for enterprise adoption, and translate complex enterprise requirements into product and platform innovation. About the role: As the Enterprise GTM Leader, you will architect and execute the technical go-to-market motion for CoreWeave’s most significant enterprise accounts. You will be the primary strategist responsible for the "Specialists and Integrations" engagement model, ensuring that complex business objectives are translated into scalable, performant infrastructure deployments. This is a high-impact leadership role where you will spend your days shaping deal strategy, overseeing pilot-to-production transitions, and building the repeatable playbooks that allow our enterprise segment to scale.

Requirements

10+ years of experience in enterprise cloud infrastructure, solutions architecture, or technical GTM leadership.
5+ years working with AI/ML platforms, GPU infrastructure, or high-performance computing environments.
Proven track record of supporting or leading enterprise deals with contract values exceeding $5M.
Deep expertise in cloud-native infrastructure including Kubernetes, container orchestration, cloud networking, and infrastructure-as-code tools such as Terraform or Pulumi.
Experience architecting multi-cloud or hybrid cloud infrastructure deployments.
Strong ability to translate complex enterprise business objectives into scalable infrastructure architectures.
Demonstrated success influencing cross-functional teams across sales, engineering, and product organizations.

Nice To Haves

Experience supporting AI workloads including distributed model training, inference pipelines, or large-scale data processing.
Background in industries with high-performance compute demands such as financial services, biotech/life sciences, or autonomous systems.
Experience in technical consulting or enterprise digital transformation initiatives.

Responsibilities

Architect and lead the technical go-to-market strategy for CoreWeave’s largest enterprise AI infrastructure deployments.
Partner closely with Sales and Solutions Architecture to shape strategy and execution for complex enterprise deals exceeding $5M+ in contract value.
Design and operationalize frameworks that guide enterprise customers from proof-of-concept to large-scale production deployments.
Establish repeatable integration and architecture patterns for AI workloads across hybrid and multi-cloud environments.
Lead technical evaluations involving senior stakeholders across engineering, data science, and executive leadership.
Build scalable deployment playbooks that accelerate enterprise adoption of GPU infrastructure.
Serve as the primary technical voice for enterprise customers, translating field feedback into platform improvements and product roadmap priorities.
Track and optimize key GTM metrics including technical win rates, PoC-to-production conversion, deployment velocity, and enterprise expansion.