Solution Engineer - Insurance & Asset Management
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.
About the job
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.
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
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