Head of Data Quality

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Role

Snorkel AI is hiring a Head of Data Quality to build and own the quality system at the heart of our Data-as-a-Service business. Our DaaS business runs a digital data factory: expert human contributors working inside our product to produce customer-specific datasets at scale. The work most closely resembles a high-mix, engineered-to-order manufacturing line — with one defining twist: the spec is a living document. Production starts against an initial spec, calibrates against early samples, and continues to evolve as production ramps. Each pipeline's target is a moving target. You are the person who turns that environment into a system. You will design the end-to-end quality architecture — spanning individual datapoint quality, dataset-level quality, and contributor quality — and ensure that high-quality data production is repeatable, measurable, and improvable at scale. The role is cross-functional by default: you will work across GTM, Delivery, Product, and Engineering, and most of your impact will come through teams you don't directly manage.

This is a Principal IC role to start. You will build and own the system before you build the team. As the function matures, this role is expected to grow into a people-management track. If you've built quality systems from scratch in environments that deliver highly customized work against evolving specifications — whether in pharma, localization, semiconductor manufacturing, aerospace, or AI data — and want to apply that expertise to one of the most important challenges in AI, this is the role.

What You'll Do

• Establish Snorkel's quality strategy, standards, and operating model across contributors, datasets, and individual data points.