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source · wttj·req · jb_77d6ecf52e·listed 2w ago

Solution Engineer (Energy)

Snowflake·London, United Kingdom·Hybrid·Full-time
Sourced listing · wttjNo salary disclosed
Posted
17 August 2026
via wttj
Type
Full-time
Arrangement
Hybrid
United Kingdom
Deadline
16 September 2026
closes in 18d
compensation · not disclosed
Salary not shared
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source · estimate pending

Summary

the pitch

Join Snowflake as a Solution Engineer in the Energy sector. In this role, you will work closely with the sales team and channel partners to understand customer needs, strategize sales cycles, provide value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. You will present Snowflake technology and vision to executives and technical contributors, demonstrate the value of Snowflake technology throughout the sales cycle, and collaborate with Product Management, Engineering, and Marketing to improve Snowflake's products and marketing.

Role

posted by company
  • You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences and bridging the gap between audiences when needed
  • As a Snowflake Solution Engineer you must share our passion about driving the AI Data Cloud adoption, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done
  • Familiarity with core data concepts such as data modeling, data governance, and data engineering best practices
  • Outstanding presenting skills and executive presence to engage technical, business and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Proven ability to discuss and demonstrate the value of Generative AI and Machine Learning (ML) use cases for enterprises
  • Hands-on expertise with Python and SQL
  • Broad range of experience within Data platforms, analytics, and cloud technologies, including deep knowledge of data warehousing, data lakes, and lake house architectures
  • Hands-on experience with modern AI/LLM ecosystems, including Retrieval-Augmented Generation (RAG), and familiarity with open-source frameworks such as LangChain, Hugging Face, or PyTorch, along with a solid understanding of how to work with and deploy Large Language Models (LLMs)

Key responsibilities

  • Collaborate with the accounts sales team and channel partners to understand customer needs and strategize on winning sales cycles.
  • Present Snowflake technology and vision to executives and technical contributors, demonstrating the value of Snowflake technology throughout the sales cycle.
  • Maintain a deep understanding of competitive and complementary technologies, and collaborate with Product Management, Engineering, and Marketing to improve Snowflake’s products.