About the role
About Polymarket Polymarket is the world's largest prediction market platform. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized "house," Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future. We're growing fast, both in terms of volume ($21B traded in 2025) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire.
About
the Role Polymarket is looking for a Lead Web Performance Engineer to own the speed, efficiency, and scalability of our web platform. You'll set the direction for web performance at Polymarket, establish the standards and systems that keep the product fast at scale, and shape how Polymarket thinks about performance as a discipline. We're looking for someone who has operated at serious scale (ie billions of page loads) and knows what it takes to make a high-traffic web product fast for every user, everywhere. You'll come in with deep technical conviction and lay the foundation for a world-class web performance practice.
What You'll Do Own web performance end-to-end. Take responsibility for load times, rendering performance, and runtime efficiency across Polymarket's web platform, with measurable targets and a clear plan to hit them. Set the technical direction. Define the architecture, standards, and tooling that govern how Polymarket approaches performance – caching strategy, rendering pipeline, bundle discipline, and edge delivery. Optimize the critical rendering path. Identify and eliminate bottlenecks in how pages load and render, including server-side rendering, hydration, code splitting, lazy loading, and asset delivery. Drive caching and CDN strategy. Design and maintain caching architectures at every layer (browser, CDN, and edge) to minimize latency and maximize cache hit rates at scale. Build performance observability. Instrument real user monitoring, Core Web Vitals tracking, and synthetic testing so
