AI Presales Leader, Solutions Architect (Req #1411)
- Location
- Remote
- Employment type
- unknown
- Posted
- Posted
- PreSales
About the role
Overview The AI Presales Leader, Solutions Architect will help lead AI at ePlus—inside the company and with customers. This is a player-coach role for someone who can guide a team, stay close to the technology, advise executives, and represent ePlus at customer, partner, and industry events. You will work with sales, engineering, consulting, business teams, and technology partners. You will find practical AI use cases, turn customer needs into clear solutions, and help move strong ideas from prototype to business case and repeatable ePlus offering. Your Impact The essential functions of this position include but are not limited to: Enterprise AI Leadership and Adoption Help set AI priorities for ePlus and keep teams focused on the most useful opportunities. Work with business and technology leaders to find and rank internal AI use cases. Drive responsible use of AI through clear guidance, education, and governance. Lead and coach AI-focused presales professionals while staying hands-on in key customer work. Bring together sales, delivery, business teams, and partners to move priority work forward. C ustomer AI Advisory and Growth Be a trusted AI advisor to customer executives, business leaders, and technical teams. Turn business problems into clear AI recommendations, roadmaps, and solution options. Lead executive briefings, discovery workshops, and customer planning sessions. Work with sales to qualify opportunities, shape the solution, and support complex pursuits. Connect customer needs with the right ePlus services and partner technologies. AI Evangelism and Thought Leadership Be a visible voice for ePlus on practical AI use and emerging trends. Represent ePlus at customer events, executive briefings, partner programs, webinars, and conferences. Create presentations, demonstrations, and other content that make complex AI topics easy to understand. Build strong relationships with customers, partners, internal experts, and industry groups. Innovation, Use-Case Development, and Technical Leadership Take promising AI ideas from use-case definition through prototype, business case, and delivery plan. <span data-ccp-parast
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