Enterprise Account Executive

vor 2 Wochen


Frankfurt am Main, Deutschland DFLabs Vollzeit

We are looking for a seasoned Enterprise Sales Executive to reinforce our leadership in the SaaS machine data analytics space. As an Enterprise Sales Executive, you will be a key member of our sales organization, responsible for driving revenues within your assigned territory. We’re looking for software sales executives who have a pioneering attitude and deep experience opening mid-market and large enterprise accounts, are driven to be top performers, and want to play their role in cementing Sumo Logic as the premier continuous intelligence SaaS business.

**Responsibilities**:

- Managing and executing their own sales-cycles including their own pipeline generation and working with lead generation teams, qualification, collaboration with pre-sales and customer success to coordinate all resources required for closing deals while consistently delivering on aggressive sales goals.
- Understand accounts’ needs and effectively communicate how the Sumo Logic service will meet those needs while ensuring 100% satisfaction with all customers.
- Provide timely and insightful input back to other corporate functions, particularly engineering, product management and marketing.
- Create and deliver accurate forecasts.
- Assist with product demos using web tools to prospects and customers.
- Hunt and aggressively prospect new business.

**Experience Required**:

- Demonstrable consistent quota achievement in an Enterprise Software Sales role.
- Track record of developing a greenfield territory, adding logos in an Enterprise Software space.
- Thrive in a fast-paced, high-growth, rapidly evolving technical environment.
- Passionate about technology.
- Good Sales DNA and sales methodology.
- Teamwork and excellent communication skills
- Educated to degree level

**What we do**:
**Mission**:
Democratize machine data analytics through the Sumo Logic platform, bringing real-time data insights securely through the cloud.

**Massive Scale**:
Our microservices architecture in AWS ingests hundreds of terabytes daily across many geographic regions. Millions of queries a day analyze hundreds of petabytes of data.



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