Executive Summary At Canva, experimentation is at the core of how we build and grow. With over thousands of experiments run annually across diverse product surfaces, we needed a scalable, consistent, and trustworthy way to measure what truly drives business outcomes like Monthly Active Users (MAU) and Annual Recurring Revenue (ARR). To solve this, we developed the IMPACT app — an internal tool built using Snowflake(opens in a new tab or window), Streamlit, Snowpark, and Cortex. The app enables fast, self-serve estimation of commercial impact for both pre- and post-experiment analysis, using…
The nature of software engineering is changing rapidly. At Canva, we believe our hiring process should evolve alongside the tools and practices our engineers use every day. That's why we're excited to share that we now expect Backend, Machine Learning and Frontend engineering candidates to use AI tools like Copilot, Cursor, and Claude during our technical interviews. The Reality of Modern Engineering At Canva, almost half of our frontend and backend engineers are daily active users of an AI assisted coding tool. Our engineers leverage AI to prototype ideas, understand our large codebase and…
Qualitative comparison of image embedding models to power a scalable similar-image replacement system for Canva designs.
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