Splunk

Splunk

Sr. Technical Marketing Manager - Splunk AI (Remote) - 29213

Winters, TX | $0K - $0K

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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

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.

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5,001-10,000 employees
Software, Information Technology, Financial Services, Technology, IT Services, Artificial Intelligence, Software Development, Data Analytics, Cloud Computing, Cybersecurity
Public Company
Last round: Post IPO equity
San Francisco, California
Company Specialties:
Machine Data To Operational Intelligence