Snowflake

2 weeks ago

Solution Engineer - Insurance

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Drive adoption of Snowflake’s AI Data Cloud by partnering with the accounts sales team and channel partners to understand customer needs and navigate sales cycles. Deliver executive-level presentations and technical demos, support enterprise proof of concepts, and contribute to design and implementation. Stay current on competitive technologies, and collaborate cross-functionally with Product, Engineering, and Marketing to improve offerings throughout the customer journey.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Insurance & Actuarial

Key Responsibilities

•Present Snowflake technology and vision—focused on the AI Data Cloud—to executives and technical contributors at prospects and customers.
•Demonstrate and communicate Snowflake 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 expertise on competitive and complementary technologies to position Snowflake effectively.
•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.
•Broad experience across data platforms, analytics, and cloud technologies, including data warehousing, data lakes, and lake house architectures.
•Proven ability to discuss and demonstrate Generative AI and Machine Learning use cases for enterprises.
•Hands-on experience with AI/LLM ecosystems including Retrieval-Augmented Generation (RAG), and familiarity with LangChain, Hugging Face, and/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 technologiesEnterprise AI/ML

Skills:PresentingExecutive communicationCustomer focusCollaborationExperimental mindset

Tech Stack:AI Data CloudGenerative AIMachine Learning (ML)Retrieval-Augmented Generation (RAG)LangChainHugging FacePyTorchLarge Language Models (LLMs)PythonSQLData warehousingData lakesLake house architectures

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 - Insurance

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Insurance & Actuarial

Key Responsibilities

•Present Snowflake technology and vision—focused on the AI Data Cloud—to executives and technical contributors at prospects and customers.
•Demonstrate and communicate Snowflake 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 expertise on competitive and complementary technologies to position Snowflake effectively.
•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.
•Broad experience across data platforms, analytics, and cloud technologies, including data warehousing, data lakes, and lake house architectures.
•Proven ability to discuss and demonstrate Generative AI and Machine Learning use cases for enterprises.
•Hands-on experience with AI/LLM ecosystems including Retrieval-Augmented Generation (RAG), and familiarity with LangChain, Hugging Face, and/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 technologiesEnterprise AI/ML

Skills:PresentingExecutive communicationCustomer focusCollaborationExperimental mindset

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