• Present Snowflake technology and vision to executives and technical contributors at prospects and customers • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation • Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them. • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

• Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload and provide customers with best practices given Snowflakes technology stack. • Work with customers to understand their AI/ML use case, discover key requirements, and architect a Snowflake-centric solution to be delivered by Services Delivery. • Understand how to build, deploy and AI and ML pipelines using Snowflake features and/or Snowflake ecosystem based on customer requirements. • Work hands-on where needed using SQL, Python, and Cortex AI features to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the AI/ML workload. • Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own • Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them • Provide guidance on how to resolve customer-specific technical challenges. • Support other members of the Services Delivery team develop their expertise. • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

• partner with regional Account Executives (AEs) and Solution Engineers (SEs) to identify, qualify, and develop AI/ML opportunities within USMajors accounts • conduct technical presentations, product demonstrations, and workshops focused on our AI/ML portfolio • architect and prototype foundational AI/ML solutions, including proof-of-concepts (PoCs) that demonstrate clear business value • serve as the technical bridge between customers and the central AI/ML Product and Engineering teams • maintain a current understanding of the competitive landscape and industry trends in AI/ML • drive sales acceleration through AI-assisted "hands-on-keyboard" development • lead the rapid technical build of customized AI/ML prototypes

• Lead technical discovery, solution design, and proof-of-value engagements with enterprise customers across all industries. • Translate complex business requirements into architectures leveraging the Snowflake Data Cloud (data engineering, data science/AI/ML, data sharing, applications, and security/governance). • Deliver compelling technical presentations, demos, and workshops to audiences ranging from individual contributors to C-suite executives. • Partner with Account Executives to drive pipeline, accelerate deals, and close business. • Serve as the voice of the customer back to Product and Engineering teams. • Build and maintain reusable assets: demo environments, reference architectures, and solution accelerators. • Stay current on competitive landscape, industry trends, and emerging capabilities across the data & AI ecosystem.