Gaee Kim

Design UX for AI-driven, data-intensive decision-support products, translating complex system behavior and automated outputs into experiences users can understand and trust. Structure data flows, system states, and analytical results to connect technical logic with clear user flows and interaction models. Ramp up quickly in new environments and contribute with inclusive leadership, integrating smoothly into team workflows without disrupting existing processes.

Designed AI-assisted, data-intensive UX for SAP HANA Cloud, focusing on helping users understand system behavior, performance risks, and automated recommendations. Led UX for SQL performance and supportability tools, translating complex signals (thread activity, cache states, execution plans) into actionable insights and guided decision flows. Owned the UX of SQL Plan Advisor, an automated recommendation feature that explains why performance issues occur and how suggested optimizations improve outcomes, emphasizing clarity, trust, and user confidence in system-generated guidance. Collaborated with PMs, architects, and engineers across regions to define system-level UX requirements and ensure consistent, explainable behavior across global cloud environments.

Led product planning and feature prioritization for an enterprise data platform, aligning technical feasibility with user and business needs. Worked on pre-sales and customer scenarios, strengthening ability to evaluate UX decisions in terms of product strategy, adoption, and conversion.