We are looking for the founding Engineering lead for our Operations Engineering team. This team is responsible for redefining how the world’s largest organizations meet their data annotation needs for groundbreaking models.

You’ll define and grow a team building automation and tooling around data generation, dataset analytics, quality checks. The automation and tooling directly supports our fast-growing Data-as-a-service (Daas) operations and are used as feedback to incorporate into Snorkel’s core programmatic data development platform. You’ll work closely with cross-functional teams incorporating research, applications engineering, and operations to pioneer innovative workflows for best-in-class ML models.

Primary responsibilities

• Manage, develop, and grow a talented team of operations, automation, data, and infrastructure engineers
• Work with the rest of our operations, product, engineering and research teams to help design and lead the implementation of our internal and external systems to support the growth of the company
• Actively contribute to Snorkel’s engineering culture through mentorship, open communication, user empathy, advocacy of strong engineering practices, and more

Preferred qualifications

Successful candidates will have most of the following, but these should be viewed as guidelines, not hard requirements:

• Degree in Computer Science or related field or equivalent experience
• 5+ years of professional experience developing systems and process for software operations and development
• 3+ years of engineering management experience
• Experience with architecting and developing systems to operate data workflows and pipelines, content analytics, or user reputation and fraud analytics
• Experience at high-growth technology startups, and balancing ambiguity and agility with rigor and sustainability
• Familiarity with ops and devops systems and processes
• Experience developing and mentoring engineers
• Background managing, building on, and deploying with AWS, Terraform, Kubernetes, SQL