Sr. Director Engineering, GTM AI Apps

Palo Alto Networks

Actively hiring Posted today Verified listing
Santa Clara, CA Posted 1 day ago

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How this pay compares to similar roles

Similar $220k
$175k most similar roles pay here $272k

This listing doesn't post a salary. Most similar roles pay $193,075–$246,150.

Based on 239 similar postings.

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About Palo Alto Networks

Palo Alto Networks is a global cybersecurity company offering network security, cloud security, and endpoint protection solutions.

Palo Alto Networks currently has 31 open roles on FindRole.

Listed pay typically runs $155,000–$251,000 across 29 roles with salary data.

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At a glance

TL;DR

The Sr. Director Engineering for GTM AI Applications will lead the technical transformation of the company's Go-to-Market technology ecosystem by integrating advanced AI and ML capabilities into the Opportunity-to-Quote lifecycle. This role requires visionary leadership and hands-on expertise in building scalable enterprise-grade AI solutions, with responsibilities including setting a multi-year tech strategy, architecting AI customer solutions, leading a global team of developers, and driving large-scale initiatives for business impact. The ideal candidate will have extensive experience with GTM applications, strong analytical skills, and the ability to foster an inclusive culture while leveraging technologies like Large Language Models (LLMs). Preferred qualifications include a Master's or PhD in Engineering, 15+ years of product application engineering experience, and expertise in modernizing governance through AI automation.

What you'll do

  • Define multi-year technology strategy and architecture roadmap for AI integration into GTM stack.
  • Architect advanced AI customer solutions and establish company standards through proof-of-concepts.
  • Lead global team of developers to scale pipeline generation and seller productivity with AI.
  • Drive large-scale initiatives for significant business impact across multiple organizations globally.
  • Monitor, analyze, and optimize performance and cost-efficiency of deployed AI models and solutions.

What we're looking for

  • Extensive experience with Go-to-Market (GTM) applications, focusing on the Opportunity to Quote lifecycle.
  • Deep technical expertise in AI and ML architecture for enterprise solutions.
  • Proven leadership in building and scaling global engineering teams.
  • Strong business acumen and strategic planning skills for technology roadmaps.
  • Expertise in driving large-scale, multi-disciplinary projects with significant business impact.
  • Demonstrated ability to optimize performance and cost-efficiency of deployed AI models.
  • Experience in modernizing governance through automation from manual processes.

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