7 hours ago
Base Salary
$165k - $217k/yr
Responsibilities
- Present Snowflake technology and vision to executive and technical audiences.
- Demonstrate Snowflake’s value throughout sales cycles, including demos, proofs of concept, design, and implementation.
- Work with sales teams and channel partners to understand customer needs, develop winning strategies, and close business.
- Discover customer architecture frameworks and connect them with Snowflake Data Architecture.
- Track competitive and complementary technologies and position Snowflake effectively.
- Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products and marketing.
Requirements
- 5–7+ years of industry experience, including a minimum of 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, including concepts such as Data Lake, Data Mesh, and Data Fabric.
- Ability to connect customer business problems and architectures with Snowflake solutions.
- Curiosity about the AI landscape and ability to serve as a technical thought partner for customers.
- Experience using AI code generation tools to improve productivity.
- 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 global systems integrators such as EY, Deloitte, or Accenture is beneficial but not required.
Benefits
- Remote role for candidates located anywhere in the USA.
- Approximately 25–30% travel is expected.
- Snowflake directs U.S. candidates to its careers site for salary and benefits information.
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.