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Snowflake is seeking a Solution Engineer to drive adoption of its AI Data Cloud platform, particularly within the Financial Services & Insurance (FSI) sector. You will partner directly with account sales teams and channel partners to understand complex customer requirements, design winning sales strategies, deliver compelling technical demonstrations, and support enterprise proof-of-concept engagements.
In this role, you will present Snowflake's technology vision to both executive and technical audiences, translating business needs into technical solutions. You'll work hands-on with prospects and customers throughout the entire sales cycle—from initial demos through proof of concept to design and implementation phases. A key responsibility is maintaining deep competitive intelligence on data platforms, analytics, cloud technologies, and AI/ML ecosystems, positioning Snowflake's capabilities effectively against alternatives.
You will collaborate cross-functionally with Product Management, Engineering, and Marketing to inform product improvements and refine go-to-market strategies. The role demands exceptional presenting skills and executive presence, with the ability to engage seamlessly across technical, business, and C-suite audiences—whether in impromptu whiteboard sessions or polished presentations.
Required expertise includes broad knowledge of data warehousing, data lakes, and lakehouse architectures; proven ability to articulate enterprise Generative AI and Machine Learning use cases; hands-on experience with modern AI/LLM ecosystems including RAG, LangChain, Hugging Face, and PyTorch; and solid understanding of LLM deployment. You must be proficient in Python and SQL, with familiarity in data modeling, data governance, and data engineering best practices.
Snowflake values customer obsession, integrity, great teamwork, and making data accessible and valuable to everyone. This is a high-stakes, high-reward opportunity to shape how enterprises adopt AI-native data platforms.
