Product Manager, Real World Data

As a Product Manager for Real World Data, you will own how real-world data becomes datasets labs want to buy. You will define what makes this data useful at each stage of training, decide how datasets are shaped, packaged, and delivered, and get high-quality data into labs' hands faster. The role spans product and go-to-market: you will need to understand what is in the data, what labs need, and how to sell it. Working this close to real work, you will see firsthand where frontier models fall short on the tasks that matter most.

Real-world data is a new category of product, and what you build will help define it and shape what the next generation of models learns from.

Frontier models have been trained on most of the public web. The next gains will come from how work actually gets done inside companies: the documents, spreadsheets, code, email, chat, and business systems where real decisions get made, each with its own structure and quirks. That data is private, messy, and inconsistent, and turning it into training data that labs can use and trust is an unsolved problem. The Data Acquisition team works on that problem, turning real-world data into datasets that frontier labs use to train and evaluate their models.