Skip to content

Sr. Solutions Engineer
Company | Splunk |
---|
Location | Illinois, USA |
---|
Salary | $182000 – $269500 |
---|
Type | Full-Time |
---|
Degrees | Bachelor’s |
---|
Experience Level | Senior, Expert or higher |
---|
Requirements
- 7+ years related experience in selling and supporting software products to IT organizations.
- Strong interpersonal skills, both written and oral, and an ability to communicate complex ideas to all levels of the business.
- Strong technical fundamentals in a relevant part of IT or Security markets (examples include networking, systems administration, development, application management, operations, etc.)
- Familiarity with programming or scripting a plus (e.g. C/C++, Shell, Perl, Python, etc.)
- Knowledge of “Big Data” technologies (Map-Reduce, Hadoop, HBase, Cloudera, Cassandra) a plus.
- Should be available to travel to visit prospects and customers in the region
- Bachelor’s degree in a related discipline or substantial relevant on the job experience
- Applicants must be currently authorized to work in the United States on a full-time basis.
Responsibilities
- Partner with the regional sales team to develop strategic and technical account and territory plans.
- Ability to demonstrate Splunk’s products and solutions to customers either on-site or remotely, with a focus on value-based differentiators.
- Experience responding to functional and technical elements of RFIs/RFPs.
- Self-motivated with a consistent track record in technical software sales and knowledge of technology.
- Strong ability to collaborate and dynamic presentation skills and ability to communicate clearly to emails and RFPs when submitting reports.
- Ability to be organized and analytical, and will be able to eliminate sales obstacles using creative and adaptive approaches.
- Comfortable working for a dynamic technical organization with a fast growing customer base.
Preferred Qualifications
- Familiarity with programming or scripting a plus (e.g. C/C++, Shell, Perl, Python, etc.)
- Knowledge of “Big Data” technologies (Map-Reduce, Hadoop, HBase, Cloudera, Cassandra) a plus.