Senior Manager, Applied AI Research - Snorkel AI

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 between 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!

Snorkel AI came out of the Stanford AI lab and is built on the principle that data development is the core of AI. For years, we have pioneered data-centric methods that power the world’s most sophisticated AI implementations from top enterprises to frontier AI labs. We are looking for a Senior Manager of Research to lead a team focused on data-centric research.

About the Role

As a manager on the Research team, you will lead a team that focuses on data-centric research that drives the datasets and associated methods that the next generation of models will be trained and evaluated on. From collaborating with researchers at frontier labs to academics at Stanford, Berkeley, UW, you and your team will bridge the gap between cutting edge research and real-world AI development.

Main Responsibilities

• Team Building & Leadership: Recruit for and lead a team of applied researchers, setting the team’s culture and setting a high standard for quality and velocity
• Frontier Data Research: Collaborate with academic and industry-leading AI labs to define the data-centric techniques that will help power the next generation of foundation models.
• Strategic Roadmapping: Anticipate the next bottlenecks in the AI data (e.g., automated RLHF, agentic evaluation, or specialized model alignment) and pivot the team to develop the programmatic solutions that address them
• Operational Excellence: Partner with the Go-to-Market, Operations and Product teams to enhance current state and drive the roadmap for what the company will focus on next

What We’re Looking For

• 5+ years of experience in applied AI, research or machine learning roles, with at least 4+ years of experience managing technical teams
• A player coach who is willing to be hands-on with coding, research, customer-facing engagements
• A proven track record of thriving in fast-paced, ambiguous environments, comfortable managing competing priorities across cross-functional stakeholders in Product, Engineering, and GTM
• Enjoys solvin