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CoreWeave

Rents GPU cloud computing for AI developers

Senior Director - Enterprise Business Development

Sales OperationsUpdated on Nov 13
Full-timeLondon, UKIn-person

About the Job

Requirements

  • 15+ years of experience in enterprise business development, go-to-market strategy, sales, industry leadership, consulting, or product strategy within cloud infrastructure, enterprise technology, AI, or another complex technology environment.
  • Significant experience defining and executing Enterprise growth strategies across multiple markets or industries.
  • A proven record of translating market and customer insight into repeatable sales plays, adoption programmes, and measurable commercial outcomes.
  • Deep understanding of how large Enterprises evaluate, adopt, govern, and scale new technology platforms.
  • Strong understanding of Enterprise architecture, cloud infrastructure, AI platforms, data environments, and the operational requirements of production AI.
  • Experience developing segmentation models, executive value propositions, sales plays, industry narratives, and adoption methodologies.
  • Demonstrated ability to connect technical architecture with business strategy, operating-model change, and executive priorities.
  • Experience working closely with field sales organisations to improve customer targeting, opportunity development, competitive positioning, and expansion.
  • Experience partnering with Product and Engineering teams to translate Enterprise requirements into roadmap and investment priorities.
  • Experience designing or leading complex customer adoption programmes involving specialist engineering, consulting, services, or Forward Deployed teams.
  • Strong understanding of the Enterprise AI buying landscape, including technology budgets, buying centres, strategic partners, and evolving workload economics.
  • Demonstrated experience building senior relationships with CIOs, CTOs, CDOs, business leaders, and other Enterprise executives.
  • Experience developing industry-specific strategies or leading business development across major Enterprise verticals.
  • Strong analytical capability, with the ability to build market models, adoption frameworks, segmentation strategies, and executive-level business reviews.
  • Experience building, hiring, coaching, and developing high-performing business development, strategy, or industry teams.
  • A record of operating successfully across EMEA markets and cultures, with the ability to travel regularly.

Responsibilities

  • Define and execute CoreWeave’s EMEA Enterprise business development strategy in partnership with regional and country sales leadership.
  • Establish CoreWeave’s Enterprise point of view, including Enterprise architecture, market segmentation, AI wallet distribution, buying centres, workload evolution, and competitive positioning.
  • Define how CoreWeave participates in the Enterprise AI transformation journey, from initial AI initiatives through production adoption, operationalisation, and scaled Enterprise Intelligence.
  • Develop the narrative for how CoreWeave enables customers to operate their AI Learning Loops, positioning the platform as the infrastructure, software, and operational foundation through which organisations continuously build, deploy, learn, and improve.
  • Build a systematic view of Enterprise AI adoption across EMEA, including where investment is occurring, which workloads are moving into production, how budgets are shifting, and where CoreWeave can gain market share.
  • Define Enterprise segmentation and prioritisation models that help field teams identify customers, industries, workloads, and buying centres with the greatest strategic and commercial potential.
  • Develop CoreWeave’s Enterprise sales plays, including target customer profiles, business triggers, technical use cases, executive value propositions, competitive positioning, and expansion motions.
  • Own the development of Enterprise sales content, executive narratives, pitch decks, and field assets in partnership with Field and Product Marketing.
  • Build a repeatable Enterprise adoption methodology that helps customers progress from initial workload evaluation through production deployment, scaled consumption, and broader platform adoption.
  • Develop programmes that enable customers to adopt CoreWeave as a strategic component of their AI architecture rather than as a point solution for individual workloads.
  • Partner with Product leadership to ensure CoreWeave’s Enterprise strategy reflects product capabilities, roadmap direction, and the requirements of large-scale Enterprise customers.
  • Translate customer and market insight into recommendations for product investment, developer experience, security, governance, observability, integration, and Enterprise platform capabilities.
  • Work closely with Field Engineering to define Enterprise adoption strategies using Forward Deployed Engineers, specialist technical resources, and services.
  • Build repeatable engagement models that combine business, technical, and operational resources around the most important Enterprise transformation opportunities.
  • Partner with Field Sales leaders to translate Enterprise strategy into country- and account-level execution, ensuring sellers understand where to focus, what to lead with, and how to progress customers through the adoption journey.
  • Work with partners to build joint Enterprise propositions, solution patterns, and routes to market that accelerate customer adoption and extend CoreWeave’s reach.
  • Maintain executive-level relationships with strategic Enterprise customers, technology partners, and ecosystem leaders.
  • Act as an executive sponsor for strategically important Enterprise transformation opportunities.
  • Build and maintain an active graph of Enterprise AI adoption across the region, mapping customers, industries, workloads, AI investment, architecture choices, partners, competitors, and stages of maturity.
  • Build, lead, and develop a team of Enterprise Business Development Managers aligned to priority industry segments.
  • Ensure each industry leader develops a differentiated view of how AI will reshape their sector, including priority use cases, economic impact, data and infrastructure requirements, buying centres, barriers to adoption, and relevant ecosystem partners.
  • Establish a rigorous operating cadence and scorecard covering market penetration, Enterprise adoption, field execution, pipeline influence, consumption, revenue performance, and market share.
  • Represent CoreWeave’s Enterprise narrative externally with customers, partners, industry bodies, analysts, media, and at major industry events.

Desired Qualifications

  • Leadership experience in Enterprise strategy, business development, industry go-to-market, or sales at a major hyperscale cloud provider, AI platform company, or global infrastructure technology business.
  • Direct experience building or scaling an Enterprise cloud or AI business measured through customer adoption, consumption, revenue, and market share.
  • Experience defining Enterprise architecture or transformation points of view used by large customer-facing organisations.
  • Experience building AI, cloud, or data-platform adoption methodologies for large Enterprise customers.
  • Experience with Forward Deployed Engineering, professional services, transformation consulting, or other high-touch Enterprise adoption models.
  • Deep expertise in one or more major Enterprise industries and a strong understanding of how AI will change industry value chains, operating models, and economics.
  • Experience developing public-facing thought leadership and representing a technology company with customers, analysts, media, and at major industry events.
  • Established executive relationships across the EMEA Enterprise and technology ecosystem.
  • A bachelor’s degree or equivalent practical experience.

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

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