
51 - 200 employés
Fondée en 2015
🔌 API
🤖 Intelligence artificielle
☁️ SaaS
API • Artificial Intelligence • SaaS
La société à responsabilité limitée d'Investissement & Solutions technologiques E+ (ePlus), anciennement connue sous le nom de WIM Solutions Technologiques, a été fondée à Ho Chi Minh-Ville en 2015 par de jeunes Vietnamiens dynamiques, enthousiastes et partageant une passion commune pour le domaine des Technologies de l'Information et de la Communication en ligne.
🕒 il y a 7 jours
🇺🇸 États-Unis – Télétravail
💵 $160 000 - $200 000 / an
⏰ Temps Plein
🟠 Senior
💻 Ingénieur Solutions
👻 Score fantôme 20%
🗣️🇺🇸🇬🇧 Anglais requis
Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

51 - 200 employés
Fondée en 2015
🔌 API
🤖 Intelligence artificielle
☁️ SaaS
API • Artificial Intelligence • SaaS
La société à responsabilité limitée d'Investissement & Solutions technologiques E+ (ePlus), anciennement connue sous le nom de WIM Solutions Technologiques, a été fondée à Ho Chi Minh-Ville en 2015 par de jeunes Vietnamiens dynamiques, enthousiastes et partageant une passion commune pour le domaine des Technologies de l'Information et de la Communication en ligne.
• Help set ePlus AI priorities and identify and rank internal AI use cases • Drive responsible AI use through guidance, education, and governance • Lead and coach AI-focused presales professionals while remaining hands-on in key customer work • Coordinate sales, delivery, business teams, architects, engineers, consultants, and technology partners • Advise customer executives, business leaders, and technical teams on AI • Turn business problems into AI recommendations, roadmaps, and solution options • Lead executive briefings, discovery workshops, and customer planning sessions • Qualify opportunities, shape solutions, and support complex sales pursuits • Connect customer needs with ePlus services and partner technologies • Represent ePlus at customer events, executive briefings, partner programs, webinars, and conferences • Create presentations, demonstrations, and content explaining complex AI topics • Take AI ideas through use-case definition, prototype, business case, and delivery plan • Build secure, practical solutions with cross-functional teams and partners • Lead discovery, shape architectures, support demonstrations and proofs of concept, and review 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 • Build regional plans to grow the AI business and recommend technology investments • Maintain relationships with AI technology partners and vendors • Track AI pipeline, opportunity progress, win rates, and revenue • Improve presales processes, tools, training, and reporting • Stay current on AI technologies, cloud platforms, security, governance, and market trends • Complete approved training and maintain relevant certifications • Share technical knowledge and market insights with engineering and presales teams
• 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 generative AI, large language models, AI infrastructure, data platforms, and AI governance concepts • Executive presence and ability to communicate complex technical and business concepts to customer executives, technical audiences, partners, and internal stakeholders • Demonstrated player-coach leadership and ability to influence across functions, mentor technical talent, and remain hands-on • Experience moving AI work from initial use case to prototype, business case, and broader rollout • Preferred: experience leading presales teams and developing AI solutions • Preferred: hands-on experience with Microsoft AI, Azure AI, Microsoft Copilot, OpenAI, NVIDIA, AWS, Google Cloud AI, or other leading AI platforms • Preferred: experience building AI business cases and implementation roadmaps • Preferred: relevant certifications in AI, cloud, architecture, or data technologies • Preferred: understanding of responsible AI, governance, security, and compliance
• Medical benefits • Financial benefits • 401(k) eligibility • Employee stock purchase program • Paid time off, including vacation, sick time, and personal leave • Continuous learning opportunities • Leadership development • Internal mobility • Supportive, collaborative culture • Reasonable accommodations for qualified individuals
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