Group Product Manager, Agentic Code Security
Google· enterprise· Internet & Cloud Services· Sep 17, 2026 · 1mo ago
Sunnyvale, CA, USA · Kirkland, WA, USA · New York, NY, USA · Seattle, WA, USA · San Francisco, CA, USA
In office
Full-time
Principal
$170K–$250K est.
10+ years exp
Job description
At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.
In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.
One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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: $240000 - $333000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google .
• Define the multi-year product goal, narrative, and strategic roadmap for agentic security auditing across Google Cloud development workflows.
• Author Product Requirement Documents (PRDs) and Spec-Driven Development (SDD) artifacts, partnering closely with Engineering, Security Researchers, Program Managers, and UX to translate requirements into quarterly OKRs and deliver high-impact releases.
• Establish rigorous qualitative and quantitative evaluation frameworks (e.g., True Positive Precision, Exploitability Validation Rate, Signal-to-Noise Ratio, Mean-Time-to-Remediate, Token/Compute ROI) to benchmark and improve agentic scanning/triage accuracy.
• Design intuitive, low-friction developer workflows across multiple touchpoints including presubmit/postsubmit blocking gates, IDE integrations, triage workflows, and automated CL patching.
• Partner with security gatekeepers and leadership across Product Areas to standardize security domain knowledge assets, threat model integration, and rollout strategies, while monitoring emerging AI security trends, open-source vulnerability intelligence, and academic breakthroughs in agentic security.
• Bachelor's degree or equivalent practical experience.
• 10 years of experience in product management, technical program management, or software engineering leadership.
• 3 years of experience building, launching, or managing products within Application Security, Cloud Security, Code Analysis, Vulnerability Management, or Developer Tools (CI/CD, DevOps).
• 3 years of experience driving products from conception to launch (0 to 1 and scaling enterprise developer or security platforms).
Minimum qualifications:
• Bachelor's degree or equivalent practical experience.
• 10 years of experience in product management, technical program management, or software engineering leadership.
• 3 years of experience building, launching, or managing products within Application Security, Cloud Security, Code Analysis, Vulnerability Management, or Developer Tools (CI/CD, DevOps).
• 3 years of experience driving products from conception to launch (0 to 1 and scaling enterprise developer or security platforms).
Preferred qualifications:
• Master’s degree or PhD in Computer Science, Artificial Intelligence, Cybersecurity, or an MBA with a strong technical background.
• Experience with large-scale monorepos, distributed build/CI systems, and containerized sandbox execution environments
• Deep domain understanding of application security concepts: vulnerability classes (CWE, OWASP Top 10, memory safety, logic flaws), threat modeling, static/dynamic code analysis, Kythe/code property graphs, fuzzing, or automated test generation.
• Exceptional written and verbal communication skills.
• Track record of defining product metrics for AI/ML systems (precision, recall, hallucination mitigation, token optimization) and developer productivity metrics (DORA, triage velocity, SLA compliance).
Application prep
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