Jobs at Snorkel AI

Build and deliver computer-use agent environments, datasets, evaluators, verifiers, and production solutions for AI labs and enterprise customers. Lead technical engagements from discovery through implementation and delivery, diagnose agent failures, run experiments, and improve reliability and performance. Partner with customers and internal engineering, research, and product teams while creating reusable frameworks, tooling, standards, and technical best practices. Provide technical leadership and communicate tradeoffs and recommendations to stakeholders.

Lead and scale Snorkel AI's technical recruiting function: build and manage a team of recruiters and sourcers, own hiring strategy and operating model, partner with technical leaders, design sourcing and pipeline strategies, use data to optimize hiring metrics, coach interviewers, and represent the company externally to attract top technical and AI talent.

Partner with Sales to lead technical discovery and scoping, design GenAI solution architectures, build bespoke demos and prototypes (RAG, fine-tuning, agents), author proposals and SOWs, capture reusable patterns into reference assets, and support handoffs to delivery teams. Requires up to 25% annual travel.

The Senior Product Manager will lead development for AI data systems, ensuring product quality, improving workflows, and collaborating with cross-functional teams to deliver scalable solutions.

Maintain SOC 2 Type I and Type II compliance, coordinate audits and remediation, automate evidence collection through Vanta and Drata, manage access reviews and policy governance, support customer security questionnaires, and align controls with NIST, FedRAMP, and CMMC requirements. Partner with engineering and security teams on compliance-as-code, cloud controls, vendor risk management, metrics, incident evidence preservation, and federal readiness.

Build and maintain internal IT infrastructure as a product through automation, identity and access management, endpoint lifecycle management, networking, API integrations, workflow orchestration, internal tools, AI integrations, security scripting, alerting, and compliance automation. The role emphasizes Python or JavaScript development, Okta or Azure AD, MDM platforms, REST or GraphQL APIs, and security-first engineering practices.

Lead the Forward Deployed Engineering function, overseeing technical execution of data services and building a high-performing engineering team focused on AI data pipelines and workflows.

Lead and build TA operations: own recruiting tech stack and ATS, design scalable processes, reporting, and SLAs, use data and AI to improve hiring speed and quality, manage stakeholder partnerships and vendor integrations, and ensure data integrity across recruiting systems.

Lead global supply strategy for a Data-as-a-Service marketplace: build and scale a distributed expert-contributor network, manage BPO and partnership ecosystems, drive predictive capacity planning, expand internationally, optimize multi-channel supply growth, partner cross-functionally on EC experience and GTM, and hire and grow the supply team.

The Senior/Staff Research Scientist will develop and implement AI techniques, prototype solutions, and collaborate with teams to apply research in real-world settings.

Lead design and ownership of end-to-end quality systems for Snorkel's Data-as-a-Service. Establish standards, metrics, governance, and automation to measure and scale contributor, datapoint, and dataset quality. Partner cross-functionally to operationalize quality, then build and grow the Quality team while representing Snorkel externally.

Recruit Product talent for a high-growth AI startup by developing sourcing strategies, building diverse pipelines, analyzing recruiting metrics, delivering excellent candidate experiences, partnering with hiring managers, monitoring market trends, managing interview processes, and supporting onboarding and immigration. The role requires strong startup recruiting expertise, Product talent market knowledge, stakeholder coaching skills, and proficiency with modern recruiting tools.

Build and operate platform infrastructure, backend services, agent infrastructure, event-driven data pipelines, governance systems, CI/CD frameworks, and observability tooling. The role includes designing distributed systems on AWS, enforcing RBAC and compliance controls, optimizing infrastructure costs, defining reliability standards, participating in on-call, and leading complex engineering initiatives across teams.

Senior Technical Recruiter responsible for developing engineering recruiting strategies, sourcing passive candidates, managing pipelines, delivering excellent candidate experiences, partnering with engineering hiring managers, analyzing recruiting metrics, monitoring talent markets, coordinating interviews, improving hiring processes, and supporting onboarding and immigration. The role requires extensive full-cycle startup recruiting experience focused on software, AI/ML, and infrastructure engineering.

Leads full-cycle recruiting for PhD-level AI/ML research scientists, developing sourcing strategies, building diverse pipelines, evaluating research talent, and partnering with Research leaders and hiring managers. Manages candidate experience, interviews, recruiting analytics, market intelligence, conference networking, onboarding, and immigration support. Advises stakeholders on hiring strategy and continuously improves recruiting processes in a fast-growing startup environment.

Designs and maintains automated testing systems, infrastructure, tooling, and internal developer productivity tools. Partners with DevOps to optimize test execution and reliability within CI/CD pipelines, while advancing testing, observability, and release-confidence practices across engineering. The role requires a systems-oriented approach to building scalable, reliable, and maintainable test solutions in an ambiguous, fast-moving environment.

Build and maintain end-to-end product features across React and TypeScript front ends, APIs, and supporting services. Collaborate with product, design, and engineering teams to simplify complex workflows, make architecture decisions, improve accessibility and performance, and troubleshoot production issues. The role requires strong product judgment, full-stack fluency, independent decision-making, and effective cross-functional communication. Work is hybrid, requiring at least three days weekly in San Francisco or New York City.

Lead operational clarity and alignment within the Delivery organization, drive cross-functional initiatives, and ensure execution of strategic OKRs. Manage planning cycles and address risks proactively while improving processes and systems for efficiency.

The Senior Business Operations Manager will lead cross-functional initiatives, drive structured decision-making, and develop measurable outcomes to support business growth.

As an Applied AI Engineer, you will enhance customer solutions using AI and machine learning, collaborating closely with clients to design effective AI implementations and drive business impact.