CDW

Business Development Manager

CDW

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $115,000 - $140,000 per year

Job Level

SeniorLead

Tech Stack

CloudKubernetes

About the role

  • Drive new opportunity generation and pipeline growth by engaging directly with clients and account teams to uncover AI infrastructure needs through target account identification and pursuit
  • Clearly understand the business impacts of AI infrastructure use cases in the sales segments they cover and be able to communicate CDW’s value proposition around those solutions
  • Position and articulate the value of full-stack AI infrastructure, including high-performance compute (CPU/GPU), storage and data, orchestration (Kubernetes, Slurm, etc.), MLOps, and integration with AI/ML tools and frameworks
  • Lead strategic sales motions from initial discovery through presales collaboration and proposal development, ensuring alignment with both business outcomes and technical requirements
  • Collaborate with CDW Practice Leads and Architects to develop client-ready architectures and solution overviews
  • Act as a key point of contact for Sales, helping them identify and qualify AI Factory opportunities within their existing accounts
  • Engage with strategic partners (e.g., NVIDIA, NetApp, Cisco, Dell, etc.) to jointly develop and promote aligned offerings
  • Maintain a deep understanding of the AI/ML landscape, client buying behaviors, and competitive positioning to continuously refine the GTM approach
  • Contribute to marketing events, webinars, workshops, and executive briefings to build awareness and generate interest
  • Provide structured feedback to the AI Factory leadership team on market trends, client priorities, and portfolio development needs
  • Responsibility to establish deep sales team relationships to drive opportunity creation in addition to hunting for net-new customers that may not have existing Sales alignment

Requirements

  • 8 years of experience in business development, sales, or solution selling in enterprise technology space, with a focus on infrastructure, cloud, or AI/ML
  • Strong understanding of enterprise AI/ML workloads and the supporting infrastructure stack (compute, storage, networking, orchestration, MLOps)
  • Proven ability to lead complex, consultative sales cycles and work cross-functionally with technical and delivery teams
  • Excellent communication and relationship-building skills with both technical and executive stakeholders
  • Self-starter with a growth mindset and the ability to thrive in a fast-evolving, emerging practice area