Lead AI/ML Eng Manager, Agentic Security (Equity)

Google LLC; San Francisco (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google San Francisco, CA, USA is seeking a Senior Software Engineering Manager for AI/ML to lead a team of engineers building agentic AI solutions for security. The role combines technical leadership with architectural oversight across multiple teams and locations, driving strategy and rapid execution in AI, ML, and cybersecurity domains.

You will shape technical goals, manage large-scale projects, and mentor engineers to deliver high-impact features while staying at the forefront of AI

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8+ years of software development experience.
• 7+ years leading technical project strategy, ML design and optimizing end-to-end ML.
• 5+ years in one or more ML domains (speech/audio, RL, ML infrastructure).
• 5+ years of technical leadership and people management experience.

Responsibilities

• Lead, mentor, and grow a high-performing team of engineers focused on developing and deploying agentic AI for security.
• Set technical goals and strategy for the security harness, aligning with broader security teams.
• Collaborate with cross-functional engineering, product management, data science, and security teams to define requirements and roadmaps.
• Oversee end-to-end development lifecycle from ideation to deployment of scalable AI-driven security solutions.
• Foster a culture of innovation, excellence, and continuous improvement in AI, ML, and cybersecurity.

Skills

Software development

ML design & deployment

Technical leadership

People management

Speech / Audio / RL / ML infra

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering or Computer Science

Job description

Google San Francisco, CA, USA is seeking a Senior Software Engineering Manager for AI/ML to lead a team of engineers building agentic AI solutions for security. The role combines technical leadership with architectural oversight across multiple teams and locations, driving strategy and rapid execution in AI, ML, and cybersecurity domains.

You will shape technical goals, manage large-scale projects, and mentor engineers to deliver high-impact features while staying at the forefront of AI