Enterprise Account Executive
ZipSalary 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 must have a minimum of 6 years of sales experience with a 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 in areas such as Public Cloud, Data Warehousing, Business Intelligence, Data Science, or AI/ML. Familiarity with a solution-based selling approach and strong presentation, listening, organization, and contact management skills are required.
Responsibilities
As an Enterprise Account Executive at Snowflake, you will understand the product and ecosystem, conduct discovery calls, and facilitate customized demos and presentations to prospective customers. You will act as a trusted advisor, work closely with partners and service providers, qualify prospects, and develop new sales opportunities. Achieving sales quotas and developing a sales strategy for your territory will be key responsibilities, along with collaborating with cross-functional teams and leveraging methodologies like MEDDPICC.
Skills
Prospecting
Lead Generation
Relationship Building
Sales Process Management
Solution Selling
Presentation Skills
Listening Skills
Contact Management
MEDDPICC
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.
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees