Work closely with Product Managers and Engineering to navigate ambiguity and shape solutions. Take initiative and help define what needs to be done. Lead problem discovery, not just execute solution design. Use continuous, lightweight discoveries, run rapid experiments, build prototypes, and validate design decisions before building. Talk to users regularly through low-effort, AI-assisted research activities. Focus on what can be done with available resources and time. Design AI-native experiences that create trust while accounting for AI hallucinations, latency, and model limitations. Think system-first and ensure the product ecosystem feels coherent and consistent. Balance speed and quality while shipping imperfect MVPs in small increments, continuously improving with user feedback while maintaining the long-term product vision. Balance several tasks at once, prioritize activities effectively, and ensure deadlines and quality standards are met. Share feedback, improve design patterns, and help scale the overall product experience.
Nuoroda į skelbimą bus pridėta automatiškai žinutės pabaigoje.