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2 дня назад

AI Product Adoption Engineer

Формат работы
onsite
Тип работы
fulltime
Английский
c2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Product Adoption Engineer (AI): Owning and driving AI product adoption across global customers with an accent on hands-on implementation, customer collaboration, and real-world use case development. Focus on diagnosing customer challenges, mapping them to AI capabilities, surfacing product gaps, and shaping the AI roadmap through field feedback.

R&D - Tel Aviv (onsite)

Company

hirify.global is a digital adoption platform expanding its AI capabilities for enterprise workflows.

What you will do

  • Own AI adoption for global customers, defining and improving execution strategies based on real environments.
  • Serve as go-to expert for explaining, implementing, and unblocking AI for customers and internal teams.
  • Articulate AI strategy, value, and differentiation to build champions and drive production usage.
  • Build a library of real-world AI use cases from customer problems, solutions, and outcomes.
  • Apply discovery skills to diagnose challenges and map to hirify.global AI capabilities.
  • Partner with Product Managers and Engineering to provide feedback and influence the roadmap.

Requirements

  • Native-level English.
  • 3+ years in customer-facing execution roles like Sales Engineering, Solutions Architecture, Professional Services, or Customer Success.
  • Proven experience implementing and adopting complex products with customers.
  • Strong technical aptitude with AI-powered products.
  • Excellent presentation and communication skills for complex concepts.
  • Customer-centric mindset, independence, and adaptability in a fast-paced global environment.

Culture & Benefits

  • Thrive in a fast-paced, global, agile environment with cross-functional collaboration.
  • Hands-on, customer-proximate role focused on real impact and value delivery.
  • Emphasis on curiosity, quick learning, and driving AI at scale.

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