Expect Pinterest Software Engineer interview questions to span algorithmic coding, system design (increasingly Pinterest-specific cases like feed, visual search, or ranking), and behavioral/product-sense conversations. What’s distinctive about Pinterest interviews is the product-context focus: interviewers often evaluate how you reason about user-facing ranking, relevance, and scalability tradeoffs in addition to core CS fundamentals. The process is typically structured and recruiter-led, with an initial screening step followed by several technical and behavioral rounds; senior roles place heavier weight on architecture, leadership, and cross-team impact. Interviewers evaluate problem solving, code clarity, system-level thinking, and collaboration/ownership. For interview preparation, balance algorithm practice (medium-to-hard problems and clean, testable code) with one or two mock system-design cases framed around feed, search, or recommendation systems. Prepare concise STAR stories that show measurable impact and learning, and be ready to discuss tradeoffs, metrics, and how you would instrument and iterate on a feature. Practicing pair-programming aloud and rehearsing product-oriented explanations will help you demonstrate both technical depth and the “Pinterest-y” product mindset.