Snorkel AI
Stanford AI Lab spinout providing programmatic data labeling and enterprise AI development through the Snorkel Flow platform.
What is Snorkel AI?
Snorkel AI is an enterprise AI company founded in 2019 as a spin-out from the Stanford AI Lab (research began in 2015), headquartered in Redwood City, California with offices in San Francisco and New York. The company's core product, Snorkel Flow, is an end-to-end platform for AI application development that enables programmatic data labeling — where users write labeling functions rather than manually annotating each data point — dramatically reducing the time and cost of building AI models. The platform facilitates collaboration between data scientists and subject matter experts, features LLM-powered "Warm Start" for initial labeling, and enhances accuracy via guided error analysis. Founded by Alexander Ratner (CEO), Chris Ré, Henry Ehrenberg, Braden Hancock, and Paroma Varma, Snorkel AI serves enterprises building specialized AI models using their proprietary data. The company also offers expert data services for creating curated datasets and provides remote, hybrid, and on-site work options.
Mission & values
Make AI data development programmatic — let enterprises use proprietary data to build production-quality, specialized AI models faster than manual labeling allows.
Qualifications
Snorkel AI seeks individuals with strong analytical and problem-solving abilities, excellent communication and collaboration skills, and a keen interest in AI and machine learning. Roles include software engineers, product managers, and applied AI engineers. The company values diverse backgrounds from both academia and industry. For engineering roles, proficiency in Python and experience with ML frameworks are commonly expected. Applied AI Engineer roles may require hands-on experience with LLMs, data labeling pipelines, and enterprise AI deployments. The company fosters an inclusive work environment and offers flexible working arrangements including remote, hybrid, and on-site positions. A relevant technical degree (computer science, data science, or related field) is generally preferred but the company emphasizes demonstrated skills and experience.
Leadership
Chris Ré
Co-Founder & Advisor
Stanford Computer Science professor and MacArthur Fellow; foundational researcher in AI systems and weak supervision.
Braden Hancock
Co-Founder & VP of Technology
Leads R&D, focused on expanding Snorkel Flow's capabilities across domains and evaluators.
Hiring process
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1
Apply on snorkel.ai/careers
Submit your application for an open role.
About 1 day
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2
Recruiter screen
Initial conversation about the role and your background.
About 5 days
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3
Hiring manager interview
Deep dive on the role and your fit.
About 5 days
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4
On-site loop
Multi-round technical and cross-functional interviews.
About 10 days
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5
Offer
Compensation and equity discussion, then written offer.
About 3 days
Funding
Awards & recognition
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$1.3B valuation at $100M Series D (May 2025) · 2025
BusinessWire
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Fast Company — Most Innovative Companies in AI 2025 · 2025
Fast Company
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Customers include BNY, Wayfair, Chubb, US Air Force, and other Fortune 500 + federal agencies
Snorkel AI
Company information
- Industry: AI & Data Infrastructure
- Location: Redwood City, USA
- Founded: 2019
- Company size: 201-1000
- Website: snorkel.ai ↗
- LinkedIn: Company page ↗
- X / Twitter: Profile ↗