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ePlus Technology, inc. via Greenhouse

AI Presales Leader, Solutions Architect (Req #1411)

Level not stated United States
still open verified 7h ago posted 3d ago checked just now
Apply at job-boards.greenhouse.io

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 7h ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 3d ago

The date the source published, not the day we noticed it (2026-09-11). Last seen at its source just now.

Is it remote?

Remote- US

That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.

Who may apply?

United States

The description states no restriction of its own. This is the source's own tag.

Pay not stated

Similar roles pay $160k–225k/yr

Middle 50% of 2161 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

Data AnalysisMachine LearningMentoringPartnerships

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Carried by 1 source

The listing



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. 

Customer 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. 
  • 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. 

Business Growth and Strategic Initiatives 

  • 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. 

Professional Development 

  • 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. 

Why ePlus? 

  • At ePlus, we empower businesses with cutting-edge technology solutions that drive real impact. Here's what sets us apart: 
  • Industry Leadership: We are a trusted technology partner with deep expertise in cloud, security, data center, AI, and digital infrastructure solutions. 
  • Cutting-Edge Solutions: We provide a robust portfolio of AI, cloud, security, networking, and data solutions backed by strategic technology partnerships. 
  • Longevity and Market Resilience: We are one of only 11% of Nasdaq-listed companies to be in business for more than 30 years, demonstrating consistent growth, profitability, and financial strength. 
  • Career Growth: We offer continuous learning opportunities, leadership development, and internal mobility. 
  • Supportive Culture: We are one collaborative team that values innovation, integrity, diversity, and long-term client success. 

Qualifications


Required 

  • 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.
Apply at job-boards.greenhouse.io