Snorkel AI builds specialized training data, benchmarks, and evaluation environments that help frontier models and agents perform in high-stakes domains. Backed by Greylock, Lightspeed and GV.
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 6+ years of experience in software engineering, with strong hands-on technical depth
- 2+ years in an engineering management role, leading a team of engineers
- 2+ years experience hands-on experience deploying into government or other regulated cloud environments with isolated, air-gapped, or otherwise restricted networks
- Experience designing, building, and operating scaled systems in production in the cloud, including infrastructure-as-code, CI/CD, and containerized services
- Deep technical fluency: you can go deep in architecture and design reviews and propose meaningful changes, not just manage from a distance
- Experience hiring, developing, and retaining strong engineers, ideally through rapid growth
More about this role
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!
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...
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