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9 часов назад

Solution Engineer (AI)

Тип работы
fulltime
Английский
b2
Страна
Norway
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Solution Engineer (AI/SaaS): Designing and demonstrating technical solutions for complex data challenges in the Nordic market with an accent on data architecture, cloud technology, and AI integration. Focus on building technical champions, delivering proofs of concept, and aligning hirify.global's technology with customer business goals.

Location: Oslo, Norway

Company

hirify.global is a leading data cloud company powering the era of the agentic enterprise by enabling organizations to maximize their data assets.

What you will do

  • Present hirify.global’s technology and vision to executive and technical stakeholders at prospects and customers.
  • Conduct hands-on demonstrations and Proofs of Concept (PoCs) to communicate the value of the technology throughout the sales cycle.
  • Develop technical champions within target accounts to drive deals and achieve technical wins.
  • Collaborate with Product Management, Engineering, and Marketing to continuously improve hirify.global’s offerings.
  • Partner with ecosystem and implementation partners to build joint architectures and execute account strategies.
  • Contribute to account and territory plans to accelerate growth in the Nordic market.

Requirements

  • Experience in solution engineering or solution architecture within a SaaS environment or relevant data industry.
  • Hands-on proficiency with SQL and Python.
  • Strong understanding of data architecture, data analytics, and cloud technology.
  • Experience with AI, data science, and machine learning technologies.
  • Familiarity with modern data tools such as dbt, Spark, containers, DevOps tooling, and Git.
  • Outstanding presentation and communication skills for both technical and executive audiences.

Culture & Benefits

  • AI-native work culture treating AI as a high-trust collaborator to accelerate impact.
  • Experimental mindset that encourages rapid testing of emerging capabilities.
  • Collaborative, low-ego environment focused on mutual success and feedback.
  • Opportunity to be part of a fast-scaling organization at the cutting edge of data technology.

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