8 days ago
Base Salary
$165k - $217k/yr
Responsibilities
- Present Snowflake technology and vision to executives and technical contributors.
- Demonstrate Snowflake technology and communicate its value throughout the sales cycle.
- Support customer proofs of concept, solution design, and implementation.
- Discover customer business problems and architecture frameworks and connect them with Snowflake data architecture.
- Work with sales teams and channel partners to strategize on sales cycles and close business.
- Maintain knowledge of competitive and complementary technologies and vendors.
- Collaborate with Product Management, Engineering, and Marketing to improve products and marketing.
Requirements
- 6+ years of industry experience, including at least 5 years in a pre-sales environment.
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
- Outstanding presentation skills for technical and executive audiences.
- Hands-on expertise with SQL, SQL analytics, and Python.
- Broad experience with large-scale database and data warehouse technologies, ETL, analytics, and cloud technologies.
- Ability to connect customer business problems to Snowflake solutions and conduct deep architecture discovery.
- Experience with GSIs such as EY, Deloitte, or Accenture is beneficial but not required.
- A university degree in computer science, engineering, mathematics, or a related field, or equivalent experience is preferred; a master's degree in data science or business administration is a plus.
- Proactive curiosity about the AI landscape and ability to act as a technical thought partner for customers.
- Ability to use AI code-generation tools to improve productivity.
Benefits
- Approximately 30% travel is expected.
- Salary and benefits information is provided on the Snowflake Careers Site for United States roles.
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.