Sr. Technical Marketing Manager – Splunk AI (Remote) – 29213 1-2 years of AI or Machine learning technical marketing or sales engineering experience, with 5-7 years experience total in tech marketing or sales engineering for Enterprise Software Proven track record of marketing to a highly technical 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 Strong domain knowledge demonstrated through hands-on experience within log management and analytics for Security (SIEM, SOAR, Threat Detection and Response) or Observability (Application Performance Monitoring, Infrastructure Monitoring, AIOps, Incident Management) or other DevOps tooling A degree in Computer Science, Engineering, or a related technical field or equivalent professional experience Responsibilities Splunk is looking for a Splunk AI Technical Marketing Manager (TMM) with technical expertise and hands-on product knowledge to support bringing to life Splunk AI capabilities within our product set As a TMM, you will create technical sales enablement assets and produce compelling product demonstrations to illustrate how we address customer challenges, often working in conjunction with a Technical Marketing Engineer (TME) 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, and events 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 Qualifications 1-2 years of AI or Machine learning technical marketing or sales engineering experience, with 5-7 years experience total in tech marketing or sales engineering for Enterprise Software Experience with Python, Javascript, application integration via APIs Proven track record of marketing to a highly technical 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 Strong domain knowledge demonstrated through hands-on experience within log management and analytics for Security (SIEM, SOAR, Threat Detection and Response) or Observability (Application Performance Monitoring, Infrastructure Monitoring, AIOps, Incident Management) or other DevOps tooling A degree in Computer Science, Engineering, or a related technical field or equivalent professional experience Responsibilities Splunk is looking for a Splunk AI Technical Marketing Manager (TMM) with technical expertise and hands-on product knowledge to support bringing to life Splunk AI capabilities within our product set As a TMM, you will create technical sales enablement assets and produce compelling product demonstrations to illustrate how we address customer challenges, often working in conjunction with a Technical Marketing Engineer (TME) 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, and events 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 Splunk is here to build a safer and more resilient digital world. The world’s leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. While customers love our technology, it’s our people that make Splunk stand out as an amazing career destination and why we’ve won so many awards as a best place to work. If you become a Splunker… we want your whole, authentic self, what we call your “million data points”. So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Role Summary Splunk is looking for a Splunk AI Technical Marketing Manager (TMM) with technical expertise and hands-on product knowledge to support bringing to life Splunk AI capabilities within our product set. As a TMM, you will create technical sales enablement assets and produce compelling product demonstrations to illustrate how we address customer challenges, often working in conjunction with a Technical Marketing Engineer (TME). 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. What you’ll get to do
- 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, and events.
- 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.
Must-have Qualifications
- 1-2 years of AI or Machine learning technical marketing or sales engineering experience, with 5-7 years experience total in tech marketing or sales engineering for Enterprise Software
- Five years experience with Splunk products, Splunk Architect preferred
- Experience with Python, Javascript, application integration via APIs
- Proven track record of marketing to a highly technical 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.
- Strong domain knowledge demonstrated through hands-on experience within log management and analytics for Security (SIEM, SOAR, Threat Detection and Response) or Observability (Application Performance Monitoring, Infrastructure Monitoring, AIOps, Incident Management) or other DevOps tooling.
- A degree in Computer Science, Engineering, or a related technical field or equivalent professional experience.
Splunk is an Equal Opportunity Employer At Splunk, we believe creating a culture of belonging isn’t just the right thing to do; it’s also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements Company information #TurnDataIntoDoing with the data platform for the hybrid world.Splunk (NASDAQ: SPLK) is the data platform leader for security and observability. Our extensible data platform powers enterprise observability, unified security and limitless custom applications to help tens of thousands of organizations turn data into doing so they can unlock innovation, enhance security and drive resilience. Software, Information Technology, Financial Services, Technology, IT Services, Artificial Intelligence, Software Development, Data Analytics, Cloud Computing, Cybersecurity Company Specialties: Machine Data To Operational Intelligence #J-18808-Ljbffr
Splunk API Incident management Artificial intelligence (AI) SIEM Python Computer Science JavaScript DevOps Security observability Machine Learning SOAR Engineering