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Solution Engineering
Snowflake · GB-London
Big Tech AIClosedonsite
At a glance
Highlights
- Accelerate AI Data Cloud adoption by winning large, complex customer deals.
- Lead value-based demos and enterprise proof of concepts end to end.
- Partner with Product and Engineering to continuously improve Snowflake.
Ideal candidate
Low-ego, AI-native problem solver who thrives in fast-moving environments and loves bridging business and technical audiences. Customer-obsessed and energized by closing complex deals and redefining how work gets done.
Requirements
- Outstanding presenting skills and executive presence with technical, business and executive audiences
- Broad experience with data platforms, analytics and cloud technologies including warehousing, lakes and lakehouse
- Proven ability to discuss and demonstrate Generative AI and ML use cases for enterprises
- Hands-on experience with AI/LLM ecosystems including RAG, LangChain, Hugging Face, PyTorch and LLM deployment
- Familiarity with data modeling, data governance and data engineering best practices
- Hands-on expertise with Python and SQL
Lab profile
About Snowflake
Cloud data platform for storage, analytics, data sharing, and enterprise AI workloads.
What they build
- Snowflake Data Cloud
- Data warehousing and data lakes
- Snowpark developer framework
Known for
- Elastic scalable cloud architecture
- Secure governance and data sharing
- Multi-cloud analytics and AI
Key facts
- Founded in 2012
- Headquartered in Bozeman, Montana
- Public company (NYSE: SNOW)
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