Define the multi-quarter product strategy and roadmap for Personalization Quality across Search AI surfaces. Establish key quality metrics, design rigorous experiments, and develop evaluation methodologies to guide data-driven modeling and product decisions. Conduct analysis of model responses, live experiments, and user feedback to identify quality patterns and translate them into concrete product requirements. Partner with Engineering and Research to guide model improvements, prompting strategies, and orchestration logic that elevate response relevance and helpfulness.
Drive alignment and execution across Engineering, Research, UX, and cross-functional partners while ensuring user trust, transparency, and privacy are upheld across all features.
Job description provided by Google.
View the original posting
