Snowflake

2 weeks ago

Solution Engineer - Manufacturing

✓ 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

Drive AI Data Cloud adoption by working with the account sales team, channel partners, and enterprise prospects from discovery through demo, proof of concept, design, implementation, and close. Deliver value-based presentations to executives and technical audiences, support enterprise POCs, and position Snowflake against competitive alternatives. Partner with Product, Engineering, and Marketing to improve offerings while staying current on data platforms, analytics, cloud, and generative AI/ML use cases.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Manufacturing & Production Operations

Key Responsibilities

•Present Snowflake technology and vision around the AI Data Cloud to executives and technical contributors at prospects and customers.
•Demonstrate and communicate Snowflake’s value throughout the sales cycle, from demo to proof of concept to design and implementation.
•Work hands-on with prospects and customers to support enterprise proof of concepts and drive successful outcomes.
•Maintain knowledge of competitive and complementary technologies and position Snowflake appropriately.
•Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

Key Requirements

•Outstanding presenting skills and executive presence to engage technical, business, and executive audiences with demos and presentations.
•Deep experience with data platforms, analytics, and cloud technologies, including data warehousing, data lakes, and lake house architectures.
•Ability to discuss and demonstrate 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 working with and deploying LLMs.
•Hands-on expertise with Python and SQL, plus familiarity with data modeling, data governance, and data engineering best practices.

Experience:Data platformsAnalyticsCloud technologiesData warehousingData lakesLakehouse architecturesGenerative AIMachine learningAI/LLM ecosystemsEnterprise proof of concept

Skills:PresentingExecutive presenceCommunicationCustomer focusCollaborationProblem-solving

Tech Stack:AIAgentic enterpriseGenerative AIMachine LearningMLRetrieval-Augmented Generation (RAG)LangChainHugging FacePyTorchLarge Language Models (LLMs)Data modelingData governanceData engineeringPythonSQL

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 - Manufacturing

✓ 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: Manufacturing & Production Operations

Key Responsibilities

•Present Snowflake technology and vision around the AI Data Cloud to executives and technical contributors at prospects and customers.
•Demonstrate and communicate Snowflake’s value throughout the sales cycle, from demo to proof of concept to design and implementation.
•Work hands-on with prospects and customers to support enterprise proof of concepts and drive successful outcomes.
•Maintain knowledge of competitive and complementary technologies and position Snowflake appropriately.
•Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

Key Requirements

•Outstanding presenting skills and executive presence to engage technical, business, and executive audiences with demos and presentations.
•Deep experience with data platforms, analytics, and cloud technologies, including data warehousing, data lakes, and lake house architectures.
•Ability to discuss and demonstrate 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 working with and deploying LLMs.
•Hands-on expertise with Python and SQL, plus familiarity with data modeling, data governance, and data engineering best practices.

Experience:Data platformsAnalyticsCloud technologiesData warehousingData lakesLakehouse architecturesGenerative AIMachine learningAI/LLM ecosystemsEnterprise proof of concept

Skills:PresentingExecutive presenceCommunicationCustomer focusCollaborationProblem-solving

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