# Solution Engineer - Insurance & Asset Management

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Oslo, Norway
**Role:** Sales Engineering
**Skills:** Data Platforms, Data Warehousing, Data Lakes, Lakehouse Architecture, Generative AI, Machine Learning, RAG, LangChain, Hugging Face, PyTorch, LLMs, Data Modeling, Data Governance, Python, SQL
**Posted:** 2026-08-26

> Solution Engineer partnering with sales teams and customers to demonstrate Snowflake’s AI Data Cloud, lead proofs of concept, and close complex enterprise deals. Requires strong executive communication and hands-on expertise across data platforms, cloud technologies, AI/LLM ecosystems, Python, and SQL.

## Job Description

## Responsibilities
- Present Snowflake technology and vision, with emphasis on the AI Data Cloud, to executives and technical audiences.
- Demonstrate and communicate Snowflake’s value throughout sales cycles, including demos, enterprise proofs of concept, design, and implementation.
- Partner with account sales teams and channel partners to understand customer needs, navigate sales cycles, and close business.
- Maintain knowledge of competitive and complementary technologies and vendors and position Snowflake accordingly.
- Collaborate with Product Management, Engineering, and Marketing to improve products and marketing.

## Requirements
- Outstanding presentation skills and executive presence across technical, business, and executive audiences.
- Broad experience with data platforms, analytics, and cloud technologies.
- Deep knowledge of data warehousing, data lakes, and lakehouse architectures.
- Ability to explain and demonstrate enterprise Generative AI and machine learning use cases.
- Hands-on experience with modern AI/LLM ecosystems, including Retrieval-Augmented Generation (RAG).
- Familiarity with LangChain, Hugging Face, or PyTorch and with working with and deploying large language models.
- Understanding of data modeling, data governance, and data engineering best practices.
- Hands-on expertise with Python and SQL.

## Company Values
- Customer obsession, integrity, honesty, teamwork, feedback, and making data accessible, usable, and valuable.

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