Jobs at Snorkel AI

Lead day-to-day delivery of enterprise AI projects, manage plans, milestones, risks, and stakeholder communication. Maintain Jira and documentation, run project cadences, resolve blockers, report progress to customers, build technical fluency in agents/RAG/knowledge bases/classification/extraction, and partner on project financials and closeout.

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.

Lead and grow a forward-deployed research team while doing hands-on technical work with strategic accounts. Scope training data needs, design RL environments, build evaluation frameworks, set spec and delivery standards, partner with sales and engineering, and handle high-stakes technical escalations.

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.

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.

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 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.

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.

Lead the Forward Deployed Engineering team to build and deliver high-quality datasets for AI initiatives, ensuring exceptional data delivery and process improvements through ML techniques.

Senior individual contributor to build and maintain AI-first analytics: semantic layer, LLM tooling, evals, and agents; define taxonomy/ontology; architect demand/supply models; identify high-leverage data opportunities and partner with stakeholders across the company.

As Operations Manager, you will oversee staffing, capacity planning, and the operational processes of the AI delivery organization, ensuring effective execution and financial performance.

Lead end-to-end delivery of enterprise AI projects for federal customers, shaping use cases, managing cross-functional teams, ensuring timely scope/budget compliance, driving value realization, identifying expansion opportunities, and refining scalable delivery frameworks while interfacing with C‑suite and working on National Security problems.