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Technical Director; Technology Partnerships

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Palo Alto Networks
Full Time position
Listed on 2026-06-30
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), IT Consultant, IT Project Manager
Salary/Wage Range or Industry Benchmark: 180000 - 220000 USD Yearly USD 180000.00 220000.00 YEAR
Job Description & How to Apply Below
Position: Technical Director (Technology Partnerships)

Requirements

  • 6+ years of experience in a technical, partner, or customer-facing role such as Technical Director, Solutions Architect, or Partner Engineer within the cybersecurity industry
  • Demonstrable expertise in cloud security and modern AI/ML life cycles (e.g., foundational models, agentic workflows, AI gateways)
  • Proven track record of working directly with technology alliance partners (CSPs, AI platforms) on joint solution development, technical enablement, and co-marketing initiatives
  • Strong ability to architect complex technical solutions and translate them into compelling, market-ready messaging (solution briefs, blogs, presentations)
  • Exceptional written and verbal communication skills, with the ability to articulate complex technical concepts clearly to both developers and C-level executives
  • Experience in managing technical teams or leading cross-functional technical projects
  • (Desirable) Direct experience building integrations or strategic partnerships with CSPs and/or large ISVs
  • (Desirable) Deep understanding of APIs, Network Security, and AI tooling
  • (Desirable) Strong program management skills with a focus on data-driven GTM outcomes
What the job involves
  • We are seeking an experienced and highly strategic Technical Director, Technology Partnerships to lead and expand our integrations and go-to-market (GTM) strategy with our most strategic technology alliances
  • In this role, you will be the central coordinator and technical visionary behind our partnerships with major Cloud Service Providers (AWS, Google Cloud, Azure) and leading AI/ML platforms (NVIDIA, Databricks, Snowflake, Hugging Face, IBM, and more)
  • As a key leader in the ecosystem, you will incubate and validate partner use cases, define clear technical strategies across the portfolio, and act as the technical heart of our AI security initiatives (including Prisma AIRS)
  • You will manage a team of Partner Engineers, ensuring the successful design and delivery of robust integrations, while also driving field enablement and creating compelling technical content to position us as the AI Security partner of choice
  • Partnership Frameworks:
    Develop and implement repeatable partnership frameworks by leveraging proven successful patterns established with strategic tech partners. Drive joint selling motions and GTM strategies
  • AI Security Evangelism:
    Collaborate with top AI companies to create compelling technical stories on AI security. Evangelize our AI solutions (Prisma AIRS) with strategic partners and CSPs through webinars, blogs, and industry events
  • Technical Execution & Special Projects:
    Lead the technical execution of special cross-portfolio projects (e.g., Cloud on Cortex convergence, AI Gateway integrations, model scanning, and red-teaming) and build technical content for strategic partnerships
  • Telemetry & Metrics:
    Identify telemetry internally and externally with partners to prioritize strategic partner GTM opportunities and maintain metrics of our success in the field
  • Field Enablement:
    Organize hands-on workshops and technical enablement programs for Sales, GTM, and Marketing teams to ensure they can effectively position and sell combined solutions. Support customer calls, meetings, EBCs, etc. providing technical and business details on the value the joint solution offers
  • Team Leadership:
    Manage and mentor Senior Partner Engineers, providing guidance on complex integration design, development support, and escalation workflows
  • Product Strategy:
    Act as the voice of our partners to internal Product and Engineering teams, providing critical feedback to influence the integration and feature roadmap
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