Manager Jobs

About The Position

Requirements

• Bachelor's degree or equivalent relevant work experience.
• 8+ years of experience in presales engineering, solutions architecture, consulting, or technical sales.
• 3+ years of experience leading, mentoring, or managing technical presales, engineering, or architecture teams.
• Demonstrated experience designing, positioning, or implementing AI, machine learning, data analytics, automation, cloud, or related technology solutions.
• Experience partnering with enterprise sales organizations to drive technical wins and revenue growth.
• Strong understanding of AI technologies, including generative AI, large language models, AI infrastructure, data platforms, and AI governance concepts.
• Executive presence and a proven ability to communicate complex technical and business concepts to customer executives, technical audiences, partners, and internal stakeholders.
• Demonstrated player-coach leadership, including the ability to influence across functions, mentor technical talent, and remain hands-on in high-impact work.
• Experience moving AI work from an initial use case to a prototype, business case, and broader rollout.

Nice To Haves

• Experience leading presales teams and developing AI solutions.
• Hands-on experience with Microsoft AI, Azure AI, Microsoft Copilot, OpenAI, NVIDIA, AWS, Google Cloud AI, or other leading AI platforms.
• Experience building AI business cases and implementation roadmaps.
• Relevant certifications in AI, cloud, architecture, or data technologies.
• Strong understanding of responsible AI, governance, security, and compliance.

Responsibilities

• 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.
• 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.
• 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.
• Take promising AI ideas from use-case definition through prototype, business case, and delivery plan.
• Work with architects, engineers, consultants, business teams, and partners to build secure, practical solutions.
• Stay hands-on by leading discovery, shaping architectures, supporting demonstrations and proofs of concept, and reviewing key design choices.
• Turn successful work into repeatable ePlus offerings, sales plays, reference architectures, and team resources.
• Review designs, proposals, Statements of Work, and project scopes to confirm that ePlus can deliver what is proposed.
• Build regional plans with sales and practice leaders to grow the AI business.
• Watch market and technology trends and recommend where ePlus should invest.
• Maintain relationships with key AI technology partners and vendors.
• Track AI pipeline, opportunity progress, win rates, and revenue.
• Improve presales processes, tools, training, and reporting as the practice grows.
• Stay current on AI technologies, cloud platforms, security, governance, and market trends.
• Complete approved training and maintain relevant certifications.
• Share lessons, technical knowledge, and market insights with engineering and presales teams.

Benefits

• 401(k) eligibility
• employee stock purchase program
• various paid time off benefits, such as vacation, sick time, and personal leave
• medical
• financial