Jobs at Snorkel AI

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.

Design and develop core platform features for synthetic data generation, LLM operations, and agentic workflows. Oversee API design and scalable compute services, enhancing AI model performance for enterprise clients.

The Research Scientist will design frontier benchmarks and datasets, collaborate across teams, communicate findings, and represent Snorkel's research externally.

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.

Lead and scale Snorkel's corporate legal function: manage financings, M&A, governance, equity administration, entity formation, international expansion, outside counsel, and build scalable legal processes and playbooks.

The role involves refining and evolving testing infrastructure, implementing automated testing systems, and enhancing developer productivity within a scalable environment.

The Staff HR Business Partner will develop and implement people strategies for the Data as a Service organization, manage HR challenges during growth, and coach leadership. Responsibilities include adapting HR programs, advising on organizational design, and fostering team cohesion in a complex delivery environment.

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.

The Product Marketing Manager will lead go-to-market execution for the frontier lab business, driving launches, enablement, campaigns, and competitive intelligence while partnering with sales and research teams.

Lead month-end close, prepare journal entries, reconciliations, and financial statements; research and document complex U.S. GAAP technical accounting issues (ASC 606/842/718), support audits, implement controls, partner cross-functionally, and build scalable accounting processes for a high-growth SaaS/AI company.

Lead a research team to design frontier AI datasets and benchmarks, collaborate with academia and industry, define roadmap and dataset quality, support GTM, mentor researchers, and track RL, agentic evaluation, and benchmarking research to improve model performance.

Own and grow an Intelligence Community territory by identifying mission problems where AI creates measurable impact. Build relationships with mission operators, technical teams, and acquisition stakeholders; shape AI-enabled solutions with engineers and architects; drive opportunities from initial engagement through contract award; manage pipeline, forecasting, and multi-stakeholder coordination; and develop technical and mission credibility in AI evaluation, data development, and trusted AI deployment.

The Research Scientist will develop and implement reinforcement learning techniques, build data pipelines, and collaborate with teams to create training datasets for large language models, contributing to Snorkel's data offerings and publications.

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.

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.

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.

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.