Snowflake

2 weeks ago

Solution Engineer - FSI

✓ 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

Partner with accounts sales teams and channel partners to help customers adopt the AI Data Cloud. Deliver value-based technical and executive presentations, run hands-on demos through proof of concept, and support design and implementation. Stay current on competitive technologies to position Snowflake effectively, while collaborating with Product Management, Engineering, and Marketing to improve offerings. Work at the intersection of business and technical audiences, closing complex enterprise deals.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Present Snowflake technology and vision focused on the AI Data Cloud to executives and technical contributors at prospects and customers.
•Work hands-on across the sales cycle, from demo to proof of concept to design and implementation, to demonstrate and communicate value.
•Maintain deep knowledge of competitive and complementary technologies and position Snowflake accordingly.
•Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
•Support enterprise Proof of Concepts and help navigate winning sales cycles with sales teams and channel partners.

Key Requirements

•Outstanding presenting skills and executive presence to engage technical, business, and executive audiences with demos and presentations.
•Broad experience across data platforms, analytics, and cloud technologies, including data warehousing, data lakes, and lake house architectures.
•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), and familiarity with LangChain, Hugging Face, or PyTorch for deploying LLMs.
•Hands-on expertise with Python and SQL, plus familiarity with data modeling, data governance, and data engineering best practices.

Experience:Data platformsAnalyticsCloud technologiesGenerative AIMachine learning

Skills:PresentingExecutive communicationCustomer focusCollaborationAdaptability

Tech Stack:PythonSQLRetrieval-Augmented Generation (RAG)LangChainHugging FacePyTorchLarge Language Models (LLMs)Generative AIMachine Learning (ML)Data warehousingData lakesLake house architecturesData modelingData governanceData engineering

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 - FSI

✓ 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: Solutions Engineering & Sales Engineering

Key Responsibilities

•Present Snowflake technology and vision focused on the AI Data Cloud to executives and technical contributors at prospects and customers.
•Work hands-on across the sales cycle, from demo to proof of concept to design and implementation, to demonstrate and communicate value.
•Maintain deep knowledge of competitive and complementary technologies and position Snowflake accordingly.
•Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
•Support enterprise Proof of Concepts and help navigate winning sales cycles with sales teams and channel partners.

Key Requirements

•Outstanding presenting skills and executive presence to engage technical, business, and executive audiences with demos and presentations.
•Broad experience across data platforms, analytics, and cloud technologies, including data warehousing, data lakes, and lake house architectures.
•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), and familiarity with LangChain, Hugging Face, or PyTorch for deploying LLMs.
•Hands-on expertise with Python and SQL, plus familiarity with data modeling, data governance, and data engineering best practices.

Experience:Data platformsAnalyticsCloud technologiesGenerative AIMachine learning

Skills:PresentingExecutive communicationCustomer focusCollaborationAdaptability

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