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    Snorkel AI Cuts 13% of Workforce to Focus on Data-as-a-Service Model

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    Snorkel AI Cuts 13% of Workforce to Focus on Data-as-a-Service Model

    The AI startup sharpens its strategy, streamlining teams while doubling down on core data services.

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    Snorkel AI, the Silicon Valley startup valued at $1.3 billion, reduced its workforce by 13 percent, cutting 31 employees from its total staff of 240. The layoffs focused mainly on software engineering roles, while most AI-centered functions were maintained. The company stated the cuts align with its shift toward offering “data-as-a-service,” which led to deprioritizing certain legacy operations. Snorkel AI emphasized support for the employees leaving and expressed gratitude for their contributions through the transition.

    Focus on Streamlining Software Engineering Roles

    The reduction impacted 31 employees, with 13 layoffs from the software engineering team. Among employees holding “AI” titles, only three were affected. Key senior roles, including the global head of business development and the director of AI solutions engineering, were among those cut. The company clarified that the reorganizations prioritize resources on the segments where it can deliver the most value to customers. Snorkel AI shared, “These changes allow us to focus our energy on the areas where we can have the greatest impact and better serve the evolving needs of our customers”.

    Snorkel AI’s CEO, Alex Ratner, commented on the changes: “This, unfortunately, also means saying goodbye to some talented colleagues in these areas. We are grateful for their contributions and are supporting them through this transition”.

    Shift toward Data-as-a-Service Model

    Founded in 2020 as a Stanford spinout, Snorkel AI provides a platform that helps companies label and curate data programmatically for AI model training. Its products include Snorkel Flow and Expert Data-as-a-Service, designed to accelerate dataset preparation while reducing reliance on costly manual labeling. The company’s client base includes major technology firms such as Google and Anthropic.