Engineering Manager, AI-Driven IAM Platform

Google Inc.; San Francisco (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Cloud is hiring an Engineering Manager for the Agentic Policies Platform in San Francisco. You will lead a team of software engineers, drive technical strategy, and oversee large-scale infrastructure and access control policy deployment across multiple sites.

You will mentor engineers, own project goals, collaborate with Product and Security leaders, and shape the evolution of IAM policies across GCP in an AI-first, scalable environment.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with developing large-scale infrastructure and distributed systems.
• 3 years of experience in a people management role managing software engineering reports.
• 3 years of experience in a technical leadership role.

Responsibilities

• Lead, grow, and strengthen a high-performing software engineering team.
• Oversee a platform that manages billions of security policies.
• Drive technical strategy and resolve architectural challenges.
• Collaborate with cross-functional leaders to define and execute long-term goals.
• Ensure scalable, secure access control infrastructure across cloud deployments.

Skills

People management

Technical leadership

Decision making

Stakeholder influence

Software development

Education

Bachelor’s degree or equivalent practical experience

Master's degree or PhD in Computer Science or related field

Tools

Cloud APIs

Identity and security concepts

Job description

Google Cloud is hiring an Engineering Manager for the Agentic Policies Platform in San Francisco. You will lead a team of software engineers, drive technical strategy, and oversee large-scale infrastructure and access control policy deployment across multiple sites.

You will mentor engineers, own project goals, collaborate with Product and Security leaders, and shape the evolution of IAM policies across GCP in an AI-first, scalable environment.