Senior Director, AI Platform and Enablement, Cloud Security
Google· enterprise· Internet & Cloud Services· Aug 21, 2026 · 2mo agoPosted 67 days ago
Sunnyvale, CA, USA · Kirkland, WA, USA · New York, NY, USA · Reston, VA, USA · Seattle, WA, USA
In office
Full-time
Director
$210K–$270K est.
15+ years exp
Before you apply
Ghost Signal:
Open 67 days.
Job description
The Google Cloud Security and Threat Operations (GUSTO) AI Platform and Enablement team is on a mission to revolutionize security through artificial intelligence.
This is a unique opportunity to shape the future of global cybersecurity. As the Engineering Leader you will be at the forefront of innovation, leveraging AI to work on complex and evolving security threats. You will have the resources and support of Google to build and lead an engineering team. Your work will have a direct and meaningful impact on the safety of billions of users and organizations worldwide. This role defines the technical strategy for a critical growth area, influences the broader security landscape, and mentors exceptional engineers dedicated to solving challenging problems. In this role, you will serve as a key partner to GUSTO AI leadership, defining the long-term technical vision. You will lead engineering efforts across the AI Platform, AI Enablement, and AI Features & Research pillars.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $364000 - $505000 (USD) + 40% bonus target + equity + benefits
Learn more about benefits at Google .
• Lead and mentor a high-performing, distributed engineering team, fostering technical excellence and continuous learning.
• Define and execute the long-term technical strategy and roadmap for the AI Platform and Enablement team and advise GUSTO leadership on strategic AI investments and trends.
• Drive the design, development, and scaling of a common AI platform to accelerate the delivery of AI-powered security features.
• Foster a culture of innovation and enablement, empowering GUSTO teams to build high-quality AI features through robust frameworks.
• Lead the development of flagship, end-to-end AI-driven security solutions from research to production and partner with cross-functional teams to ensure impactful customer value.
• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 15 years of experience in software development, with 10 years in a technical leadership role.
• Experience leading and managing a team of software engineers.
• Experience in one or more of the following areas: AI/ML, platform development, distributed systems, cybersecurity.
Minimum qualifications:
• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 15 years of experience in software development, with 10 years in a technical leadership role.
• Experience leading and managing a team of software engineers.
• Experience in one or more of the following areas: AI/ML, platform development, distributed systems, cybersecurity.
Preferred qualifications:
• Master's degree or PhD in Computer Science or a related technical field.
• Experience building and scaling AI platforms, infrastructure, and end-to-end security solutions.
• Experience building and leading large-scale, distributed engineering teams and setting long-term technical vision.
• Strong ability to influence and collaborate with stakeholders, from engineers to senior executives.
• Excellent communication skills with a track record of driving cross-functional technical strategy.
• Deep expertise in AI/ML, specifically with large language models and generative AI applications.
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