Scribd
As the Engineering Manager of ML/Data Engineering at Scribd, you will lead a specialized team focused on developing scalable machine learning data pipelines to ensure the safety and trustworthiness of the platform's vast content library. This role involves architecting high-throughput systems for content moderation, integrating advanced AI capabilities, and collaborating cross-functionally to align technical designs with regulatory requirements. You will also be responsible for managing and mentoring a team of engineers, fostering a culture of technical excellence, and driving operational efficiency in managing automated trust and safety mechanisms.
Headquarters
San Francisco, California, United States
Company Size
201-500 employees
Founded
2007
Scribd is a subscription-based digital document library and knowledge platform, home to over 300 million user-uploaded documents spanning academic, professional, and cultural topics. It offers ad-supported and premium subscription tiers, providing access to documents, presentations, research materials, and more from a global community of 140M+ users. Scribd also operates Slideshare, a platform for sharing presentation decks, and provides apps for on-the-go access across web, Android, and iOS.
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Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Scribd.
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