Engineering Manager, Agentic Policies Platform
Google· enterprise· Internet & Cloud Services· Jul 31, 2026 · 3mo agoPosted 88 days ago
San Francisco, CA, USA
In office
Full-time
Manager
$160K–$210K est.
8+ years exp
Before you apply
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Open 88 days.
Job description
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
This team is responsible for IAM Policies across GCP, empowering administrators to manage cloud deployments at scale in an innovative, AI agent first world.
As a Manager, you will lead, grow, and strengthen a highly performant team owning a platform that manages billions of security policies. You will manage product excellence and customer obsession to deliver highly secure, scalable, and reliable access control infrastructure enforcing dynamic policies for both human and autonomous agent identities. Partnering closely with other Cloud leaders, you will drive technical strategy and resolve complex architectural challenges to ensure GCP services have simple, reliable ways to integrate access control.
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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .
• Inspire, lead, and develop a high-performing team of software engineers, actively coaching them to grow their skills and advance their careers.
• Cultivate deep technical expertise in building and operating hyper-reliable GCP infrastructure, ensuring always-correct, intuitive, and fast access control enforcement.
• Drive complex technical projects and provide technical oversight across the entire lifecycle, including requirements definition, design, implementation, testing, and support.
• Collaborate with cross-functional leaders (Product Managers, Engineering Leads, TPMs) to define, align, and execute a unified, long-term technical goal and strategy.
• Foster an open and collaborative environment that promotes teamwork, different perspectives, and psychological safety.
• 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.
Minimum 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.
Preferred qualifications:
• Master's degree or PhD in Computer Science or related technical field.
• 3 years of experience working in a complex, matrixed organization.
• Experience with Generative AI and building Generative AI agents.
• Experience with Cloud APIs.
• Familiarity with identity, authentication or security.
Application prep
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Keywords to mirror
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