at Snorkel AI
Snorkel AI is seeking an Engineering Manager for Federal & Regulated Infrastructure to lead the team bringing our DaaS platform to government and regulated enterprise customers.
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 and our platform team to make the architecture changes, move services, and deploy into regulated environments end to end. Your team won’t be building data. You’ll build the infrastructure and deployment foundation that makes these environments possible, and you’ll partner closely with our Applied AI team, who work directly with customers to develop data and evals, so they can deploy and deliver inside them.
You’ll make autonomous technical, execution, and people decisions, and you’ll know the systems well enough to challenge designs and propose better ones alongside your technical leadership team.
Main Responsibilities
What We're Looking For
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