Principal Data Platform Engineer

About this role

## About Audiience

We're transforming how content is created and trusted in publishing. We deliver technology that is accurate, scalable, and creative – built to elevate both craft and integrity. We attract the best in the business not through traditional methods, but through the solutions we create and the culture we've built.

## Our Culture

• **Low ego, high confidence** – We sharpen each other through continuous improvement
• **Open communication** – Even when it creates necessary conflict
• **Systems thinking** – We solve complex problems through collaboration
• **Human-centered** – We work because we love what we do, but we are human first
• **Integritycreativity** – We win together or not at all

## The Role

The dirtiest secret in AI is this: your models are only as good as your data. Everyone knows it. Very few can actually do something about it. At Audiience, we're entering a niche market in publishing that has never had an AI-native solution - which means we get to define what good data looks like, from scratch, without the legacy technical debt that bogs down every other team working on similar problems.

We're building a founding engineering team of rare individuals who can think from first principles and build with precision. This is a seat reserved for someone who is obsessed with the data flywheel - who understands that in AI, data infrastructure isn't a support function, it's the competitive moat. You'll design and own the pipelines, quality systems, and feedback loops that make our models measurably better over time.

This role is not about maintaining someone else's stack. It's about architecting the system that powers a category-defining product. If you've ever wanted to build the data foundation for something important - from the very first line - this is that opportunity.

## What You'll Do

• Design and build the data ingestion, transformation, and labeling pipelines that power our AI models
• Define and enforce data quality ...