Назад
18 дней назад

Solution Engineer (AI Data Cloud)

Тип работы
fulltime
Английский
b2
Страна
Norway
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR
Solution Engineer (AI Data Cloud): Presenting and demonstrating Snowflake’s AI Data Cloud to enterprise customers while supporting sales cycles, proofs of concept, design, and implementation with an accent on data platforms, analytics, cloud technologies, and executive-level communication. Focus on demonstrating generative AI and machine learning use cases, deploying LLM solutions with RAG and open-source frameworks, and bridging business and technical audiences.

Location: Oslo, Norway

Company

Snowflake provides the AI Data Cloud, helping organizations make data accessible, usable, and valuable.

What you will do

  • Present Snowflake technology and the AI Data Cloud to executives, technical contributors, prospects, and customers.
  • Partner with account sales teams and channel partners to understand customer needs and plan successful sales cycles.
  • Deliver value-based demonstrations and support enterprise proofs of concept from demo through design and implementation.
  • Explain and position Snowflake against competitive and complementary technologies and vendors.
  • Collaborate with Product Management, Engineering, and Marketing to improve products and marketing.

Requirements

  • Outstanding presentation skills and executive presence across technical, business, and executive audiences.
  • Broad experience with data platforms, analytics, and cloud technologies, including data warehousing, data lakes, and lakehouse architectures.
  • Ability to demonstrate the value of generative AI and machine learning use cases for enterprises.
  • Hands-on experience with AI and LLM ecosystems, including RAG, LangChain, Hugging Face, or PyTorch, and deploying large language models.
  • Understanding of data modeling, data governance, and data engineering best practices.
  • Hands-on expertise with Python and SQL.

Culture & Benefits

  • Customer-focused culture centered on integrity, honesty, teamwork, and feedback.
  • Experimental, fast-moving environment with an emphasis on using AI as a trusted collaborator.
  • Opportunity to contribute to the growth and adoption of the AI Data Cloud.

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