Snowflake

2 weeks ago

Solution Engineer - Energy

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Work directly with the accounts sales team and channel partners to address customers’ most complex needs in the energy sector. Deliver value-based demonstrations of the AI Data Cloud, support enterprise proof of concepts, and guide customers from demo through design and implementation to close large deals. Maintain expertise in competitive technologies and collaborate with Product Management, Engineering, and Marketing to improve offerings and messaging.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Energy & Utilities Operations

Key Responsibilities

•Present Snowflake technology and vision around the AI Data Cloud to executives and technical contributors.
•Demonstrate and communicate value throughout the sales cycle, from demo to proof of concept to design and implementation.
•Support enterprise proof of concepts and help drive winning sales cycles in partnership with sales and channel teams.
•Maintain deep knowledge of competitive and complementary technologies and how to position Snowflake against them.
•Collaborate with Product Management, Engineering, and Marketing to continuously improve products and marketing.

Key Requirements

•Outstanding presenting skills and executive presence to engage technical and business audiences through demos and whiteboard discussions.
•Broad experience across data platforms, analytics, and cloud technologies, including data warehousing, data lakes, and lakehouse architectures.
•Proven ability to discuss and demonstrate the value of Generative AI and Machine Learning (ML) use cases for enterprises.
•Hands-on experience with modern AI/LLM ecosystems, including Retrieval-Augmented Generation (RAG), open-source frameworks like LangChain, Hugging Face, and PyTorch, and deploying large language models (LLMs).
•Familiarity with data modeling, data governance, data engineering best practices, and hands-on expertise with Python and SQL.

Skills:PresentingExecutive communicationCustomer focusCollaborationProblem solving

Tech Stack:AI Data CloudRAGLangChainHugging FacePyTorchLLMsLarge Language ModelsPythonSQL

Company Brief

Snowflake

Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn

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Snowflake

2 weeks ago

Solution Engineer - Energy

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Energy & Utilities Operations

Key Responsibilities

•Present Snowflake technology and vision around the AI Data Cloud to executives and technical contributors.
•Demonstrate and communicate value throughout the sales cycle, from demo to proof of concept to design and implementation.
•Support enterprise proof of concepts and help drive winning sales cycles in partnership with sales and channel teams.
•Maintain deep knowledge of competitive and complementary technologies and how to position Snowflake against them.
•Collaborate with Product Management, Engineering, and Marketing to continuously improve products and marketing.

Key Requirements

•Outstanding presenting skills and executive presence to engage technical and business audiences through demos and whiteboard discussions.
•Broad experience across data platforms, analytics, and cloud technologies, including data warehousing, data lakes, and lakehouse architectures.
•Proven ability to discuss and demonstrate the value of Generative AI and Machine Learning (ML) use cases for enterprises.
•Hands-on experience with modern AI/LLM ecosystems, including Retrieval-Augmented Generation (RAG), open-source frameworks like LangChain, Hugging Face, and PyTorch, and deploying large language models (LLMs).
•Familiarity with data modeling, data governance, data engineering best practices, and hands-on expertise with Python and SQL.

Skills:PresentingExecutive communicationCustomer focusCollaborationProblem solving

Tech Stack:AI Data CloudRAGLangChainHugging FacePyTorchLLMsLarge Language ModelsPythonSQL

Company Brief

Snowflake

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn