Establish the multi-year product outlook and strategy for on-device ML by conducting user research and market analysis to anticipate future developer needs in edge computing and embedded systems.

Lead the product road map for hardware acceleration (CPU and GPU) and AI on IoT and embedded devices (LiteRT/TFLM). Ensure our stack delivers peak performance across the hardware landscape, from mobile silicon to resource-constrained IoT devices.

Serve as a technical advocate for the Google AI Edge product suite. Act as a bridge between engineering and the community to drive product adoption, gather developer feedback, and supplement Developer Relations resources through external engagement.

Partner with engineering and product leaders to translate strategy into a road map, defining Product Requirements Documents, setting Objectives and Key Results, and leading execution with a focus on hardware compatibility and developer success.

Bachelor's degree or equivalent practical experience.

8 years of experience in product management or related technical role.

3 years of experience developing or launching products or technologies within artificial intelligence or Machine Learning (AI or ML).