Solution Engineering

Snowflake
Oslo
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Presenting","Executive presence","Customer obsession","Collaboration","Problem-solving"]

Drive AI Data Cloud adoption by partnering with account sales teams and channel partners to solve complex customer problems and close large deals. Deliver compelling value-based demos, support enterprise proof of concepts, and communicate Snowflake’s vision to technical and executive audiences. Use deep knowledge of data platforms, cloud, and generative AI/ML (including RAG and LLM ecosystems) while collaborating cross-functionally with Product, Engineering, and Marketing to improve products and messaging.

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Snowflake
Snowflake
2 days ago

Solution Engineering

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

Job Summary

Drive AI Data Cloud adoption by partnering with account sales teams and channel partners to solve complex customer problems and close large deals. Deliver compelling value-based demos, support enterprise proof of concepts, and communicate Snowflake’s vision to technical and executive audiences. Use deep knowledge of data platforms, cloud, and generative AI/ML (including RAG and LLM ecosystems) while collaborating cross-functionally with Product, Engineering, and Marketing to improve products and messaging.
Location: Oslo
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Present Snowflake’s technology and vision for the AI Data Cloud to executives and technical contributors.
  • •Demonstrate and communicate Snowflake value throughout the sales cycle from demo to proof of concept to design and implementation.
  • •Support enterprise proof of concepts and work hands-on with prospects and customers during engagements.
  • •Maintain deep knowledge of competitive and complementary technologies to position Snowflake effectively.
  • •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.
  • •Experience with data platforms, analytics, and cloud technologies, including data warehousing, data lakes, and lake house architectures.
  • •Ability to discuss and demonstrate the value of Generative AI and Machine Learning use cases for enterprises.
  • •Hands-on experience with modern AI/LLM ecosystems, including RAG and familiarity with LangChain, Hugging Face, and PyTorch, plus understanding how to work with and deploy LLMs.
  • •Hands-on expertise with Python and SQL, with familiarity in data modeling, data governance, and data engineering best practices.
Experience:Data platformsAnalyticsCloud technologiesAIGenerative AIMachine learningLLM
Skills:PresentingExecutive presenceCustomer obsessionCollaborationProblem-solving
Tech Stack:AI Data CloudGenerative AIMachine LearningMLRetrieval-Augmented Generation (RAG)LangChainHugging FacePyTorchLarge Language Models (LLMs)PythonSQLData modelingData governance

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