Senior Sales Engineer
ClariSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, Data & AnalyticsIndustries
Requirements
Candidates should have extensive sales engineering or solution architect experience in a SaaS environment or relevant industry experience such as analytics, data science, or data engineering. A proven track record of delivering technical wins and building strong customer relationships is essential. Outstanding presentation skills to both technical and executive audiences are required, along with an understanding of data architecture, data analytics, and cloud technology. Hands-on experience with SQL and the ability to solve customer-specific business problems using Snowflake’s solutions are also necessary.
Responsibilities
The Senior Sales Engineer will work directly with the account sales team and channel partners to understand the needs of Siemens and strategize support for their adoption of Snowflake products. They will present Snowflake’s technology to executives and technical contributors, demonstrate the value of Snowflake technology throughout the sales cycle, and create technical champions in accounts. The role involves collaborating with other sales engineers, Product Management, Engineering, and Marketing to improve products, representing Snowflake at industry events, and working with ecosystem partners to build joint architectures.
Skills
SQL
Data Architecture
Data Analytics
Cloud Technology
Solution Architect
Customer Communication
Presentation Skills
Data Science
Data Engineering
Snowflake
Data management and analytics platform
About Snowflake
Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.
Key Metrics
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees