Content, QA, And Learning Development

## 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

The Customer Experience team at Polymarket is small, high-output, and operating in a space where the questions agents answer, whether from a human or an AI, are genuinely hard. Markets, probabilities, resolution rules, and financial mechanics are not standard support territory. We work with an in-house team and outsourced partners, and right now the systems that keep quality consistent, knowledge accurate, and agents ramped quickly are being built in real time. This role owns all three.

Your mandate is to make sure every agent, human or AI, gets the answer right the first time, and that when something goes wrong, it only goes wrong once. That means owning QA, knowledge and content, and learning and development as a single connected system, not three separate workstreams. You will set the quality bar, maintain the knowledge that feeds both people and AI, and build the training that gets new agents to standard fast. Then you will close the loop: QA findings become training, training gaps become content, and content keeps the AI accurate.

This is a builder role. Some of the infrastructure exists; most of it needs to be designed, implemented, and owned by you. You will also hire and lead the specialists who run these programs day to day. If you want a role where the system is already in place, this is not it. If you want to build the system and then run it at scale, it is.