Sr. Director Engineering, GTM AI Apps

Palo Alto Networks

Quick summary

Work type
On-site
Location
Santa Clara, CA
Posted
2 days ago
Nearby
99+ roles within 25 mi

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Similar $214k
$165k most similar roles pay here $273k

This listing doesn't post a salary. Most similar roles pay $182,500–$246,150.

Based on 240 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 30 open roles on FindRole.

Listed pay typically runs $154,000–$249,500 across 27 roles with salary data.

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At a glance

TL;DR · Sr. Director Engineering, GTM AI Apps

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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, focusing on the Opportunity-to-Quote lifecycle. This visionary role requires deep expertise in AI architecture and hands-on experience with enterprise-grade solutions, including Large Language Models (LLMs). The director will set strategic direction, develop a multi-year roadmap, and lead a global team of AI and full-stack developers to scale pipeline generation and enhance seller productivity through data-driven execution. Key skills include proficiency in AI governance, performance optimization, and modernization from manual processes to automated platforms. This role demands strong leadership, communication, and business acumen, with experience in GTM applications and a track record of thought leadership in the field.

Skills

AI Machine Learning Large Language Models Go-to-Market Applications Opportunity to Quote Lifecycle CI/CD Python Java Cloud Services Docker Kubernetes AWS Azure Grafana Prometheus Terraform Git Scrum Agile

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 continuously.

What we're looking for

  • Extensive experience with Go-to-Market (GTM) applications, particularly the Opportunity to Quote lifecycle.
  • Deep technical expertise in AI and ML architecture for enterprise solutions.
  • Proven track record of leading large-scale, multi-disciplinary engineering teams.
  • Strong business acumen and ability to translate data analysis into strategic insights.
  • Experience in driving organizational change and implementing scalable mechanisms.
  • Exceptional leadership and communication skills with a focus on fostering innovation.
  • Demonstrated success in modernizing governance through AI and automation.

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