Product Manager, Agentic Safety - Singapore

Product area Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world. 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. Additional job description As a Product Manager (PM) for Agentic Safety in Singapore, you will define and drive the multi-year product strategy for securing the world’s largest app ecosystem against these cutting-edge, AI-driven cybersecurity threats. We are looking for a PM with deep expertise in Agentic AI and reasoning systems to lead our transition toward high-scale, fully autonomous trust platforms powered by next-generation agents, large language models (LLMs), and neuro-symbolic techniques. Operating from Singapore, a premier regional hub for cybersecurity research and development, you will collaborate closely with global engineering organizations, policy experts, and local government regulatory bodies to ensure that our security architectures are pioneering, resilient, and compliant with emerging global standards. Qualifications Job responsibilities Define and drive the multi-quarter product strategy and author product requirement documents (PRDs) for Agentic Safety platforms. Focus on how generative AI, agentic reasoning, and advanced program analysis converge to block malware, fraud, and deceptive schemas. Lead strategic alignment and joint execution plans with senior leadership across the Google product areas—including Gemini, Chrome, Search, and Commerce—to build unified threat models and data-sharing remediation workflows. Define product specifications for securing first-party and third-party agents (such as Gemini and other general-purpose agents) executing on-device App Functions, calling Model Context Protocol (MCP) servers, or leveraging UI control mechanisms. Collaborate with research scientists to define requirements for hybrid ML and symbolic systems. Lead the productization of advanced research into production-scale security pipelines that protect against both agentic risks and traditional ecosystem threats like malware and content abuse. Minimum qualifications Bachelor's degree or equivalent practical experience. 8 years of experience in product management or related technical role. 3 years of experience with mobile security architectures (e.g., Android/iOS sandboxing, permission systems), static/dynamic app analysis, or privacy-preserving technologies. 3 years of Experience creating product roadmaps and specifications for software platforms, agentic systems, or distributed backends. Preferred qualifications Master’s or PhD in a technical field, or technical literacy in Agentic AI paradigms (e.g., agentic orchestration, LLM-based reasoning, Model Context Protocol, and semantic search). Experience in the design or deployment of autonomous agents, reasoning systems, or tools that leverage LLMs for complex task automation. Ability to take initiatives, navigate ambiguous, projects from early concept to global launch. Excellent cross-functional leadership skills, with an ability to articulate technical security and AI concepts to senior execut…