Responsibilities
- Establish and own strong technical customer relationships within the territories you support.
- Own achieving the 'technical win'; moving opportunities from qualification to technical validation and into business validation.
- Develop technical activity plans to help the customer technically validate the Splunk products and services and achieve meaningful value outcomes post sale.
- Partner with the Regional Sales Manager in in person and remote meetings with customers to determine their needs and how Splunk can meet them.
- Support our clients through the buying process by running presentations, demonstrations, workshops and answering technical questions to validate Splunk as the right solution.
- Scope and run Proof of Concepts with clients to agreed success criteria and timelines.
- Ensure your knowledge and skills of Splunk solutions are up to date.
- Maintain timely updates on the state of your opportunities in Salesforce.
Attributes
- Self motivated; to research and learn to fill gaps in knowledge and provide the best buying experience to our clients.
- Innovative; in finding solutions to customer needs, proving integrations, and developing workshops and demonstrations.
- Passionate; in solving meaningful problems with data.
- Disruptive; work closely with the Solutions Engineering team and Solutions Engineering management to challenge, develop and continually improve working practices and processes.
- Curious; with a growth mindset and willingness to be coached.
- Adaptable; with the ability to shift to constantly evolving requirements.
Requirements
- Excellent communication skills with the ability to communicate clearly and appropriately in meetings, phone calls, emails, RFPs, and when submitting reports, both externally with customers and internally.
- Strong presentation and demonstration skills with an ability to use stories effectively.
- Ability to actively listen.
- Good organisational, prioritisation and time management skills.
- Willingness to travel.
Required Technical Knowledge
- Linux or Windows knowledge.
- Cyber Security or Observability managing large Enterprise Accounts.
- Basic network connectivity troubleshooting.
- Infrastructure as a Service platforms: AWS, GCP and/or Azure.
- IT architecture concepts such as High Availability, Disaster Recovery.
- Data Formats.
Highly Desirable Knowledge and Experience
- Experience selling SaaS services or data solutions or working in a sales/commercial environment.
- Domain knowledge in any of: security operations, DevOps, IT operations, big data or log management.
- Experience using regular expressions.
- Experience coding in Python.
- Experience working with REST APIs.
- Experience with container and container orchestration technology.