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4 дня назад

Senior Solution Engineer (AI Data Cloud)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UAE/SA
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Solution Engineer (AI Data Cloud): Driving the adoption of the AI Data Cloud by solving complex customer problems and closing large enterprise deals with an accent on value-based selling and technical demonstrations. Focus on bridging the gap between business and technical stakeholders while showcasing Generative AI and ML capabilities within data warehousing and lakehouse architectures.

Location: Must be based in the UAE or South Africa (preference for South Africa)

Company

hirify.global is a leading cloud-based data platform provider powering the era of the agentic enterprise.

What you will do

  • Present hirify.global technology and the AI Data Cloud vision to executive and technical audiences.
  • Lead the sales cycle from initial demonstration to proof of concept and final implementation.
  • Collaborate with sales teams and channel partners to strategize and win complex enterprise deals.
  • Maintain deep expertise in competitive technologies and position hirify.global effectively against them.
  • Work closely with Product Management and Engineering to provide feedback and improve product offerings.

Requirements

  • 5-10+ years of industry pre-sales experience.
  • Must be based in the UAE or South Africa.
  • Deep hands-on expertise with Python and SQL.
  • Strong understanding of data warehousing, data lakes, and lakehouse architectures.
  • Proven experience with value-based sales methodologies like MEDDPIC/MEDDIC.
  • Ability to demonstrate Generative AI and Machine Learning use cases for enterprises.

Nice to have

  • Arabic fluency is highly desirable.

Culture & Benefits

  • Customer-obsessed culture focused on integrity and honesty.
  • Opportunity to work in a fast-growing, innovative environment.
  • Emphasis on collaboration and embracing feedback.
  • Focus on making data accessible, usable, and valuable to everyone.

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