About the job
The Chrome Web AI Platform team democratizes access to free, private, high-performance AI inference directly within the browser. We deliver built-in JavaScript APIs powered by local models like Gemini Nano, enabling developers to easily build features like writing assistance and translation. We also develop foundational technologies like WebNN and optimize AI model execution across CPUs, GPUs, and AI accelerators. By investing in model quality and collaborating with research partners, we empower developers to make the web the premier platform for AI. As Product Manager for Web AI User and Developer Experience, you will drive the strategy and development of AI capabilities in Chrome. You will meet the needs of users and software engineers by shaping a product goal through structured planning and data analysis.
Responsibilities
Direct how machine learning models are downloaded, updated, and removed on devices, accounting for different hardware limits and user settings.
Create control mechanisms and permission systems that build user confidence in Chrome's built-in AI capabilities.
Determine how system resources are allocated to prevent device slowdowns or battery drain during resource-intensive tasks.
Drive the creation of testing and observation tools that software developers use to build and troubleshoot their applications.
Review system data and user feedback to build and maintain product strategy and roadmaps.
Qualifications
Minimum
Bachelor's degree or equivalent practical experience.
3 years of experience in product management or related technical role.
1 year of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
1 year experience in web development or managing web development products.
Preferred
Master's degree in a technology or business related field.
2 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
2 years of experience in a role preparing and delivering technical presentations to executive leadership.
2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
1 year of experience in software development or engineering.
Experience with Generative AI (Large Language Models, Multi-Modal, Large Vision Models).