2 months ago
Oslo, NorwaySenior
Responsibilities
- Present Snowflake technology, vision, and AI Data Cloud capabilities to executives, technical contributors, prospects, and customers.
- Demonstrate Snowflake technology and communicate its value throughout sales cycles, including demos, 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 to help position Snowflake effectively.
- Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products and marketing.
Requirements
- Outstanding presentation skills and executive presence for technical, business, and executive audiences.
- Broad experience with data platforms, analytics, and cloud technologies, including data warehousing, data lakes, and lakehouse architectures.
- Ability to discuss and demonstrate enterprise generative AI and machine learning use cases.
- Hands-on experience with AI and LLM ecosystems, including Retrieval-Augmented Generation, and familiarity with LangChain, Hugging Face, or PyTorch.
- Understanding of LLM usage and deployment, data modeling, data governance, and data engineering best practices.
- Hands-on expertise with Python and SQL.
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.