Snowflake
Overview
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. We are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. Responsibilities
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 On day one we will expect you to have
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 (e.g., Data Lake, Data Mesh, Data Fabric) Hands-on expertise with SQL, SQL analytics, and Python Ability to connect a customer’s specific business problems with Snowflake’s solutions Ability to perform deep discovery of a customer’s architecture framework and align it with Snowflake Data Architecture University degree in computer science, engineering, mathematics or related fields, or equivalent experience; Masters in Data Science or Business Administration is a plus Experience with GSIs (EY, Deloitte, Accenture, etc) is beneficial, but not required Approximate travel of 30% About our team
Our Solution Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone. The following represents the salary/compensation information available for this role is provided in the job posting. This opportunity will remain posted based on business needs, which may be before or after the specified date. Our company emphasizes confidentiality and security standards for handling sensitive data. All Snowflake employees must abide by the company’s data security plan as an essential part of their duties.
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Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. We are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. Responsibilities
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 On day one we will expect you to have
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 (e.g., Data Lake, Data Mesh, Data Fabric) Hands-on expertise with SQL, SQL analytics, and Python Ability to connect a customer’s specific business problems with Snowflake’s solutions Ability to perform deep discovery of a customer’s architecture framework and align it with Snowflake Data Architecture University degree in computer science, engineering, mathematics or related fields, or equivalent experience; Masters in Data Science or Business Administration is a plus Experience with GSIs (EY, Deloitte, Accenture, etc) is beneficial, but not required Approximate travel of 30% About our team
Our Solution Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone. The following represents the salary/compensation information available for this role is provided in the job posting. This opportunity will remain posted based on business needs, which may be before or after the specified date. Our company emphasizes confidentiality and security standards for handling sensitive data. All Snowflake employees must abide by the company’s data security plan as an essential part of their duties.
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