Solution Engineer - FS

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

Accelerate AI Data Cloud adoption by partnering with enterprise accounts, the sales team, and channel partners. Deliver executive-facing and technical demos, run proof of concepts, and support design and implementation across the sales cycle. Stay current on competitive AI and data technologies, position Snowflake effectively, and collaborate with Product, Engineering, and Marketing to improve offerings and messaging. Bring hands-on expertise in data platforms and GenAI/ML use cases.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Snowflake
Snowflake
2 days ago

Solution Engineer - FS

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Accelerate AI Data Cloud adoption by partnering with enterprise accounts, the sales team, and channel partners. Deliver executive-facing and technical demos, run proof of concepts, and support design and implementation across the sales cycle. Stay current on competitive AI and data technologies, position Snowflake effectively, and collaborate with Product, Engineering, and Marketing to improve offerings and messaging. Bring hands-on expertise in data platforms and GenAI/ML use cases.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Present Snowflake’s technology and vision around the AI Data Cloud to executives and technical contributors.
  • •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 win large deals.
  • •Maintain deep understanding of competitive and complementary technologies and position Snowflake accordingly.
  • •Collaborate with Product Management, Engineering, and Marketing to continuously improve products and marketing.

Key Requirements

  • •Outstanding presenting skills and executive presence for technical, business, and executive audiences.
  • •Deep experience with data platforms, analytics, and cloud technologies, including data warehousing, data lakes, and lake house 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 Retrieval-Augmented Generation (RAG) and frameworks such as LangChain, Hugging Face, and PyTorch, plus knowledge of deploying LLMs.
  • •Hands-on expertise with Python and SQL and familiarity with data modeling, data governance, and data engineering best practices.
Experience:Data platformsAnalyticsCloudGenerative AIMachine learning
Skills:PresentingExecutive presenceCollaborationCustomer focusCommunication
Tech Stack:AILLMRetrieval-Augmented Generation (RAG)LangChainHugging FacePyTorchPythonSQLData 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
WebsiteLinkedIn