New Engineering Manager, Federal & Regulated Infrastructure (Fully Remote)

Snorkel AI; United States; Remote; USD 150,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Job summary

Snorkel AI in the United States seeks a senior software engineering leader to scale the DaaS platform into regulated, high-assurance infrastructure. You will lead a team, partner with customers and Applied AI to define requirements and deliver environments, and drive security-focused CI/CD and monitoring practices.

The role emphasizes hands-on engineering leadership, experience with government or regulated cloud deployments, and building repeatable provisioning with infrastructure-as-code.

Qualifications

• 6+ years in software engineering and 2+ years managing engineers.
• Experience deploying into government or regulated cloud environments.

Responsibilities

• Lead the team taking Snorkel's DaaS platform into regulated, high-assurance infrastructure.
• Partner with customers and Applied AI to define requirements and deliver environments.
• Build repeatable provisioning with infrastructure-as-code and CI/CD, including security scanning.
• Own operational outcomes: monitoring, vulnerability management, and incident response.

Skills

Leadership

Cloud deployments

Software engineering

Regulated environments

Education

Bachelor's degree (CS/CE)

Job description

• Lead the team taking Snorkel's DaaS platform into regulated, high-assurance infrastructure.
• Partner with customers and Applied AI to define requirements and deliver environments.

Key Responsibilities:

• Build repeatable provisioning with infrastructure-as-code and CI/CD, including security scanning.
• Own operational outcomes: monitoring, vulnerability management, and incident response.

What We Look For:

• 6+ years in software engineering and 2+ years managing engineers.
• Experience deploying into government or regulated cloud environments.

Snorkel AI

Snorkel AI is the frontier AI data lab helping teams build the data and environments behind high-performing frontier and agentic AI. Founded at Stanford AI Lab in 2019, it's scaling rapidly with robust funding and a growth-focused culture.