Senior Solution Engineer, Healthcare – Life Sciences
Job Description:
• 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
Requirements:
• 7-8 years of industry experience with a minimum of 5 years within a pre-sales environment
• Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
• 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
• Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric
• Hands-on expertise with SQL, SQL analytics, and Python.
• Ability to connect a customer’s specific business problems and Snowflake’s solutions
• Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture.
• Possesses a proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space.
• A proven ability to leverage AI code generation tools to accelerate productivity and efficiency.
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in Data Science or Business Administration is a plus.
• Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required
• Expect approximately 30% travel
Benefits:
• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Remote work options
• 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
Requirements:
• 7-8 years of industry experience with a minimum of 5 years within a pre-sales environment
• Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
• 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
• Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric
• Hands-on expertise with SQL, SQL analytics, and Python.
• Ability to connect a customer’s specific business problems and Snowflake’s solutions
• Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture.
• Possesses a proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space.
• A proven ability to leverage AI code generation tools to accelerate productivity and efficiency.
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in Data Science or Business Administration is a plus.
• Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required
• Expect approximately 30% travel
Benefits:
• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Remote work options