Senior Technical Marketing Engineer, Splunk

• 7+ years of proven experience with security, threat prevention, and analytics software
• 5-7 years experience in tech marketing or sales engineering
• Experience with Splunk observability solutions (AppD, Observability Cloud, ITSI), or comparable solutions
• Strong domain knowledge demonstrated through hands-on experience with observability concepts, tools, and technologies (e.g. Prometheus, Grafana, OpenTelemetry, AppD)
• Familiarity with CI/CD pipelines and DevOps practices
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes)
• Understanding of network protocols and infrastructure monitoring
• Proven track record of marketing to a highly technical security audience within large organizations. You must be comfortable working with and marketing to technical buyers and stakeholders within enterprises
• Demonstrated experience in developing technical marketing content, sales enablement training, and tools, and presenting live and recorded enablement sessions to technical audiences
• Excellent written and presentation skills. This role demands someone who is gifted in their ability to communicate effectively through a variety of media
• A degree in Computer Science, Engineering, or a related technical field or equivalent professional experience

• The Senior Technical Marketing Engineer (TME) brings technical expertise and hands-on product knowledge to the Marketing team
• As a TME, you will create technical sales enablement assets and produce compelling product demonstrations to illustrate how we address customer challenges
• You will develop how-to guides to help practitioner-level customer audiences reach buying decisions
• You will collaborate with Product Management, Product Marketing and Sales Engineering to ensure that GTM content is technically accurate and delivers contextually relevant messaging that resonates with targeted technical audiences
• You will work with Splunk Technical Sales Enablement as subject matter expert to guide the development of Tech Sales Training and enablement, including New Hire Training
• Demonstrate the product capabilities in line with the associated GTM motion, use case and product line
• Create compelling demos, videos, Sales Engineer (SE) sales decks, technical FAQs and related content in support of product launches, campaigns, announcements, live events, etc
• Understand the problems and challenges faced by our customers and create content to address real world business problems and persona-based customer use cases
• Deliver targeted enablement sessions for Marketing, Sales/SEs, and customers with original assets that drive home the value of Splunk products and resonate with our target personas
• Address high-level questions about products (implementation, use, scalability, integration) in support of Marketing efforts and Sales opportunities
• Directly and frequently support Sales/SE teams with 1:1 deal support, including opportunity progression, overcoming technical objections and bid/proposal support
• Directly and frequently support Analyst Relations by providing demo support and explaining technical product features/capabilities
• Translate Splunk capabilities into customer value by addressing use cases and customer pain points
• Identify gaps and opportunities in our current offerings to better serve customer needs
• Partner with Product Management to understand and articulate mapping of features to use cases

• Paid parental leave
• Work from home opportunities
• Health Care and Insurance
• Paid Time Off
• Education reimbursement
• Electric car charging stations
• Employee Assistance Program (EAP)
• Stocked kitchens
• Gym discounts/onsite fitness centers
• Pet insurance discount
• Student loan resources
• Cool workspace with collaborative environments
• 529 College Savings Plan

Total funding: $40m

Splunk was founded to produce software for searching and analysing machine-generated data for clients. The platform provides live data insights and is an attractive option due to its flexibility, scalability and ability to process real time data.