About the job
Scribd, Inc. is known for products like Scribd®, Slideshare®, Everand™, and Fable, all designed to deepen human understanding. The company serves a global audience, aiming to move people beyond simple access to information and toward real insight and mastery.
Culture and Work Style
The team values authenticity and bold thinking. Employees are encouraged to speak up, participate in meaningful discussions, and adapt quickly to new challenges. Initiative and a strong focus on customer needs are central to the way work gets done.
Scribd Flex gives employees flexibility in choosing how and where they work, while still expecting everyone to participate in some in-person meetings to support collaboration and company culture. Attendance at these occasional gatherings is required, no matter where employees are based.
The company looks for people who demonstrate "GRIT": passion and perseverance in pursuit of long-term goals. This approach shapes the way teams set ambitious objectives, deliver results, find innovative solutions, and work together.
Role Overview
Scribd is evolving from a large document repository to a platform for active knowledge development. With 300 million documents and more than 250 million users each month, the company is focused on helping people move from finding information to truly understanding it.
The Lead Product Analyst works closely with Product Managers, Designers, and Engineers to support this transformation. Key responsibilities include defining success metrics, identifying and reducing risks in product initiatives, and turning user behavior data into actionable product strategies.
Collaboration and Impact
This role sits at the intersection of product strategy, experimentation, and analytics. The Lead Product Analyst partners with teams across Product, Engineering, Design, and Machine Learning. The goal is to ensure that new features and experiences are shaped by data-driven insights and deliver real value to users, especially as the company incorporates machine learning and large language models into its products.

