Engineering Manager, Federal & Regulated Infrastructure

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., * Lead a team of engineers through a zero-to-one build: define the technical requirements of regulated customers, make the architecture changes needed, and deploy and operate our services in regulated environments end to end

• Partner with the platform team to decide where we adapt for regulated infrastructure and where we stay identical to our commercial platform, so one product keeps moving forward across every environment
• Build repeatable environment provisioning: infrastructure-as-code and CI/CD that promote releases from our commercial environments into regulated ones, with security scanning and change control built into the workflow
• Partner with Security, Compliance, Product, and Applied AI to turn requirements (FedRAMP, NIST 800-53, CMMC, and customer-specific) into engineering work, with design decisions documented and audit-ready by default
• Own operational outcomes for regulated environments: continuous monitoring, vulnerability management, incident response, and the evidence trail behind them
• Work through the gaps between commercial and regulated infrastructure, and design alternatives where services or capabilities differ
• Drive hiring in hypergrowth: build a strong bench and keep the bar high as the team scales
• Coach and develop engineers and tech leads into owners who see problems beyond their own projects
• Set clear priorities, plans, and delivery commitments, and rebalance quickly as company needs shift
• Establish engineering standards for design reviews, testing, observability, and root cause analysis

Engineering Management, Data Sets, Artificial Intelligence (AI), Benchmarking, Technical Research, Desktop as a Service (DaaS), Government, Data Analysis, Team Lead/Manager, Team Player, * 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 with security-sensitive or regulated environment compliance (FedRAMP, NIST 800-53, CMMC, SOC 2, HIPAA, or similar). You don’t need to be a compliance expert, but you value rigorous, documented, auditable engineering
• Experience hiring, developing, and retaining strong engineers, ideally through rapid growth
• Clear communication with engineers, security and compliance partners, customers, and executives

Compensation range is $215,000 - $315,000. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training., Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location. Salary range(s) for this role $210,000-$315,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

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.