Staff Product Designer

Snorkel AI•Redwood City, CA

About The Position

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! The Role This role is for a designer who gets better by building. You use real work to learn, refine, and raise the bar. You build working prototypes with AI tools and code. Your prototypes connect to real systems and help engineering move faster with higher quality. You understand how AI systems behave. You have worked with prompting, evaluation, and feedback loops. You can look at an output and explain what went wrong, whether it comes from a prompt, the data, or the system. You stay close to the field. You follow new work in AI and want to work alongside researchers at the frontier. You think about how AI changes how teams work. You use these tools to strengthen the team, not just speed up your own work. You shape how design influences system behavior. You define how users give feedback, how teams measure quality, and how the system handles edge cases. You spend time with users to find real problems. You watch where workflows break, slow down, or produce poor results. You turn those observations into testable flows that improve outcomes. You have worked on technical products or two sided marketplaces. You understand how contributors, ops, and engineers depend on each other. You design for the full system. You care about craft. You push the work until it feels clear, consistent, and ready for real use.

Requirements

6+ years in product design
Experience with AI, data, or complex systems
Portfolio with shipped work or working prototypes
Ability to build prototypes using AI tools (e.g., Claude, Cursor)
Understanding of prompting, evaluation, and model quality in practice
Experience designing human-in-the-loop systems and feedback flows
Familiarity with AI research and working with highly technical teams
Experience with messy data, edge cases, and real-world workflows
Strong visual and interaction design craft
Ability to work closely with engineers and facilitate production readiness

Responsibilities

Build working prototypes with AI tools and code.
Connect prototypes to real systems to help engineering move faster with higher quality.
Understand how AI systems behave, including prompting, evaluation, and feedback loops.
Analyze AI outputs to identify issues with prompts, data, or the system.
Stay current with AI research and work alongside researchers.
Consider how AI impacts team workflows and use tools to strengthen the team.
Define user feedback mechanisms, quality measurement, and edge case handling for AI systems.
Conduct user research to identify workflow problems, bottlenecks, or areas of poor results.
Translate user observations into testable design flows that improve outcomes.
Design for complex systems, understanding the interdependence of contributors, operations, and engineers.
Ensure designs are clear, consistent, and ready for production.