Splunk

Leader, AI Solutions Architecture - Enterprise

Splunk

full-time

Posted on:

Location: Alabama, Arizona, Florida, Iowa • 🇺🇸 United States

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Salary

💰 $232,000 - $319,000 per year

Job Level

Senior

Tech Stack

CloudSplunk

About the role

  • Lead a team of AI Solution Architects working to accelerate the adoption of AI solutions across Splunk’s diverse customer base.
  • Engage directly with Pre-Sales and Sales Leadership for our Americas and Public Sector theaters to strategize on opportunities and engage on pre-sales activities
  • Deliver presentations and technical briefings to customers on Splunk products and solutions.
  • Assist and manage critical Splunk evaluations and POC’s.
  • Stay heavily aligned with both Cisco’s AI strategy as well as market evolution.
  • Lead strategic projects to accelerate AI solutions into every pitch, presentation, demonstration, and industry.
  • Conduct pipeline recruiting efforts to find and hire top engineering talent.
  • Mentor/coach new hires during on-boarding and subsequent phases to ensure accurate ramping of skills and capabilities.
  • Provide Solution Architects with continual development feedback.
  • Manage performance and key talent closely, ensuring that we are taking the vital actions for retention and development.
  • Deliver annual performance evaluations along with assisting SE’s in building out and implementing individual development plans.
  • Conduct regular 1:1’s with team members to provide constructive feedback and skills development.
  • Work cross functionally with support, product management, engineering, and other organizations to ensure alignment with customer requirements

Requirements

  • 8+ years demonstrated ability in technically selling and supporting software products to IT organizations
  • At least 2+ years’ related SE/SA Management experience is highly preferred
  • Excellent communication skills – written and oral
  • Ability to communicate sophisticated ideas
  • Experience and familiarity with the Splunk portfolio is helpful
  • Domain expertise with artificial intelligence, machine learning, and deep learning
  • Experience with the technologies and toolsets used by data scientists
  • Ability to work with diverse groups of people; challenge and lead people toward their peak performance
  • Ability to travel
  • BS in Computer Science, Management Information Systems, Data Science, or equivalent experience

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