1 day ago
Base Salary
$165k - $217k/yr
Responsibilities
- Present Snowflake technology and vision to executive and technical audiences.
- Demonstrate Snowflake technology and communicate its value throughout sales cycles.
- Support enterprise proofs of concept from demonstration through design and implementation.
- Work with sales teams and channel partners to understand customer needs, strategize sales cycles, and close business.
- Research competitive and complementary technologies and position Snowflake appropriately.
- Discover customer architecture frameworks and connect them with Snowflake Data Architecture.
- Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products and marketing.
Requirements
- 5-7+ years of industry experience, including at least 5 years in a pre-sales environment.
- Outstanding presentation skills for technical and executive audiences.
- At least 5 years of experience building and deploying machine learning and generative AI solutions in the cloud.
- Curiosity about the AI landscape and the ability to act as a technical thought partner for customers.
- Experience using AI code generation tools to improve productivity and efficiency.
- Broad experience with large-scale database or data-warehouse technology, ETL, analytics, and cloud technologies.
- Hands-on expertise with SQL, SQL analytics, and Python.
- Ability to connect customer business problems with Snowflake solutions.
- 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.
- Experience with GSIs such as EY, Deloitte, or Accenture is beneficial but not required.
Benefits
- Approximately 30% travel is expected.
- Salary and benefits information is available on the Snowflake Careers Site for jobs located in the United States.
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.