Senior Engineering Manager, Federal & Regulated Infrastructure
Snorkel AI·San Francisco, CA (Hybrid); United States (Remote)·Remote·Posted 20 October 2026
About the role
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role This team brings our DaaS (Data-as-a-Service) platform to government and regulated enterprise customers. You’ll lead the engineering team that takes the services behind DaaS and makes them run securely in regulated, high-assurance infrastructure, without forking the product. The goal is to keep the same capabilities we use today for generating data, evals, and benchmarks, now built to meet the security, auditability, and compliance demands of regulated data and the subject-matter experts who work with it. This is a zero-to-one role. You’ll start by understanding the technical requirements of our regulated customers in depth. Then you’ll work with your team…
This is a summary of the advert. The full description and the application are on Snorkel AI's careers site.
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