Minimum qualifications:- 15 years of experience in product management and software engineering.
- Experience in driving organizational change or digital transformation initiatives.
- Experience with AI agent architectures, LLMs, and computing infrastructure.
Preferred qualifications:- Experience working directly with Gemini AI toolkits or similar enterprise-grade AI collaboration platforms.
- Experience managing "Directly Responsible Individual" (DRI) roles for high-stakes, fast-turnaround projects.
- Ability to communicate visionary concepts to both technical engineers and executive stakeholders.
About the jobAs Principal Product Manager within the AI Computing Infrastructure (ACI) organization, you will lead the evolution of how we build, manage, and scale product roadmaps. You will move beyond traditional frameworks to implement a futuristic paradigm where AI isn't just a tool, but the primary driver of operational velocity. This role requires a visionary who can dismantle legacy processes and replace them with autonomous, AI-driven systems that empower the entire ACI portfolio to move at the speed of the current AI revolution. You will design, lead, and implement the automation of foundational tasks like PRD generation, provide analytical augmentation for market synthesis and trade-off optimization, and eventually lead strategic orchestration through dynamic roadmap adaptation and predictive risk management.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $281000 - $392000 (USD) 30% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities- Transition critical internal processes from a "can-use" to a "must-use" AI mandate across all product lifecycles.
- Identify and automate manual bottlenecks in requirement gathering, resource allocation, and cross-functional syncing using specialized AI agents.
- Enforce the deployment of AI-first workflows to ensure that human creativity is focused solely on high-level strategy and complex problem-solving.
- Serve as the Directly Responsible Individual (DRI) to ensure AI initiatives within ACI achieve milestones.
- Establish KPIs to measure the success of AI orchestration, focusing on time-to-market reduction and increased output quality.
