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About the Role
Snowflake is seeking a Senior Solution Engineer who is passionate about reinventing the database space and thrives in a dynamic environment. This role involves working directly with sales teams and partners to understand customer needs, strategize sales cycles, deliver compelling demonstrations, support proofs of concept, and close business. The ideal candidate is comfortable interacting with both business and technical audiences, from executives to technical contributors.
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
Requirements
- 5-7+ 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
- 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
- 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
- Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required
- Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data
- Snowflake employees must abide by the company’s data security plan as an essential part of their duties
- It is every employee's duty to keep customer information secure and confidential
Skills
- Machine learning
- Generative AI
- AI code generation tools
- Database technology
- Data Warehouse technology
- ETL
- Analytics
- Cloud technologies
- Data Lake
- Data Mesh
- Data Fabric
- SQL
- SQL analytics
- Python
Work Type
- Approximately 30% travel
Experience Level
- Senior
- 5-7+ years of industry experience
- Minimum of 5 years within a pre-sales environment
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud
Education Level
- University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
- Masters in DataScience or Business Administration is a plus
About the Company
- Snowflake is powering the era of the agentic enterprise.
- We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.
- 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.
- Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.
- We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.