Solution Engineer - FSI

Snowflake
London
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Presenting","Executive presence","Customer obsession","Collaboration","Experimental mindset"]

Work directly with enterprise accounts, sales teams, and channel partners to solve complex customer problems and drive large deals for the AI Data Cloud. Deliver value-based demonstrations, support enterprise proof of concepts, and collaborate across Product, Engineering, and Marketing to improve solutions and messaging. Maintain competitive awareness and confidently communicate both business value and technical depth to executive and technical audiences using modern AI and data technologies.

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Snowflake
Snowflake
2 days ago

Solution Engineer - FSI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Work directly with enterprise accounts, sales teams, and channel partners to solve complex customer problems and drive large deals for the AI Data Cloud. Deliver value-based demonstrations, support enterprise proof of concepts, and collaborate across Product, Engineering, and Marketing to improve solutions and messaging. Maintain competitive awareness and confidently communicate both business value and technical depth to executive and technical audiences using modern AI and data technologies.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Present Snowflake technology and vision for the AI Data Cloud to executive and technical stakeholders.
  • •Demonstrate and communicate value throughout the sales cycle, from demo to proof of concept to design and implementation support.
  • •Maintain deep understanding of competitive and complementary technologies and position Snowflake appropriately.
  • •Work hands-on with prospects and customers to drive successful proof of concepts and implementations.
  • •Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake products and marketing.

Key Requirements

  • •Outstanding presenting skills with strong executive presence for technical and business audiences.
  • •Deep 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 RAG and open-source frameworks such as LangChain, Hugging Face, or PyTorch.
  • •Hands-on expertise with Python and SQL, plus familiarity with data modeling, data governance, and data engineering best practices.
Skills:PresentingExecutive presenceCustomer obsessionCollaborationExperimental mindset
Tech Stack:PythonSQLRetrieval-Augmented Generation (RAG)LangChainHugging FacePyTorchLarge Language Models (LLMs)

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