The job description emphasizes designing and implementing user-facing features for Meta's advertising platform, which reaches billions of users. At Stripe, you led the development of a merchant payment dashboard serving 50,000+ businesses and at Airbnb, you built React components for booking flow, increasing conversion by 15%. Can you elaborate on your approach to designing and implementing large-scale, high-impact user-facing features, particularly considering user experience and potential performance bottlenecks?

The role requires expert knowledge of React and modern JavaScript/TypeScript, along with experience in state management. Given your extensive experience building React components at Airbnb and leading development at Stripe, can you discuss a complex state management challenge you faced in a large-scale application and how you approached solving it? Which state management libraries have you worked with and why did you choose them for specific projects?

You have a strong background in performance optimization, as evidenced by reducing API latency by 60% at Stripe and optimizing database queries at Airbnb. The job description specifically mentions optimizing application performance and ensuring excellent user experience. Can you walk me through your process for identifying and resolving performance bottlenecks in a large-scale frontend application? Provide an example of a time you significantly improved the performance of a user-facing feature.

The role involves mentoring junior engineers and contributing to technical decisions. At Stripe, you 'mentored a team of 4 engineers, establishing code review best practices.' Can you describe your approach to mentoring and how you've helped junior engineers grow technically? How do you balance providing guidance while still allowing them to develop problem-solving skills independently?