Enterprise Account Executive
Lakeside SoftwareSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise Software, Data & AnalyticsIndustries
Requirements
Candidates should have 6+ years of sales experience with a proven track record of meeting or exceeding sales objectives in the enterprise market. Experience selling technical solutions and SaaS is essential, along with demonstrable expertise in executing complex sales strategies within Public Cloud, Data Warehousing, Business Intelligence, Data Science, or AI/ML. Familiarity with a solution-based approach to selling and strong presentation, listening, organization, and contact management skills are required.
Responsibilities
The Enterprise Account Executive will prospect, develop, and close business opportunities while addressing the prospect's business challenges and delivering value-driven use cases. They will conduct discovery calls, facilitate customized demos, and act as a trusted advisor to customers. The role involves working with Snowflake partners to deliver value, qualifying prospects, achieving sales quotas, and collaborating with cross-functional teams including sales leadership, engineering, and marketing.
Skills
Sales
SaaS
Enterprise Sales
Solution Selling
Presentation Skills
Listening Skills
Contact Management
Data Warehousing
Business Intelligence
Data Science
AI/ML
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