Solution Engineer - Insurance & Asset Management

Snowflake
London
Workplace: OnsiteFull timeFunction: Capital Markets, Trading & QuantSkills: ["Presenting","Executive communication","Customer-focused","Problem-solving","Collaboration"]

Work directly with the account sales team and channel partners to solve complex customer problems and close large deals for Snowflake’s AI Data Cloud. Deliver value-based demos, support enterprise proof of concepts, and help design and implement solutions. Maintain deep knowledge of data platforms and competitive technologies, and partner across Product Management, Engineering, and Marketing to improve Snowflake’s offerings. Engage executives and technical audiences across the sales cycle.

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Snowflake
Snowflake
2 days ago

Solution Engineer - Insurance & Asset Management

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Last checked: 3 hours agoStatus: Live

Job Summary

Work directly with the account sales team and channel partners to solve complex customer problems and close large deals for Snowflake’s AI Data Cloud. Deliver value-based demos, support enterprise proof of concepts, and help design and implement solutions. Maintain deep knowledge of data platforms and competitive technologies, and partner across Product Management, Engineering, and Marketing to improve Snowflake’s offerings. Engage executives and technical audiences across the sales cycle.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Capital Markets, Trading & Quant

Key Responsibilities

  • •Present Snowflake’s technology and vision for 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.
  • •Maintain a deep understanding of competitive/complementary technologies and position Snowflake effectively.
  • •Demonstrate and deploy AI/ML and LLM capabilities (including RAG and LLM ecosystems) to support customer solutions.
  • •Collaborate with Product Management, Engineering, and Marketing to improve products and marketing.

Key Requirements

  • •Strong presenting skills and executive presence for technical, business, and executive audiences.
  • •Deep experience with data platforms, including data warehousing, data lakes, and lake house architectures.
  • •Proven ability to discuss and demonstrate enterprise value of Generative AI and Machine Learning use cases.
  • •Hands-on experience with modern AI/LLM ecosystems, including RAG and frameworks such as LangChain, Hugging Face, and PyTorch, with understanding of deploying LLMs.
  • •Hands-on expertise with Python and SQL, plus familiarity with data modeling, data governance, and data engineering best practices.
Experience:Data platformsAnalyticsCloudAI/MLOpen sourceEnterprise salesData warehousingData lakesLake house
Skills:PresentingExecutive communicationCustomer-focusedProblem-solvingCollaboration
Tech Stack:SnowflakeAI Data CloudGenerative AIMachine LearningMLLLMsRetrieval-Augmented Generation (RAG)LangChainHugging FacePyTorchPythonSQLData modelingData governanceData engineeringData warehousingData lakesLake house

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
WebsiteLinkedIn