Content is the foundation of everything we build at Scribd, Inc. Our UGC corpus—more than 400 million user-uploaded documents, distinct from the rights-protected premium catalogs behind Everand and Fable—powers the consumer experience on Scribd and Slideshare and differentiates our search and discovery.
The Content pillar is the team responsible for that asset. It spans three connected areas—trust & safety (protecting the corpus), understanding (knowing it), and supply (growing it)—each with dedicated product and engineering leadership, embedded analysts, and applied ML capability.
We have high standards, give real feedback, and always bias toward action. Everyone owns their work end-to-end. There’s high trust, low hand-holding, and a genuine expectation that you’ll push the people around you toward sharper thinking and better outcomes.
We celebrate wins, learn from our losses, and laugh through both.
We’re hiring a Director of Content Intelligence & Supply to own knowing our UGC corpus and growing it as an asset. This is a new role, and it comes at a moment when content has become central to our strategy: the UGC corpus powers our consumer products and feeds search and discovery.
You’ll bring content intelligence and content supply under one point of leadership—connecting what we know about the corpus (classification, metadata, quality, gaps) with the decisions about how we grow it. Today those efforts run in different parts of the org; your job is to run them as one portfolio with one roadmap. We build products that turn information into understanding, grounded in trusted human-created sources—and we own the data structure and intelligence that make a corpus this large useful.
This role reports to the Chief Product Officer. You’ll inherit an established team—a content understanding program with its own charter and dedicated engineering squad, and a UGC supply squad that owns the end-to-end contributor experience—with room to shape the org’s direction, structure, and future growth.
We’re looking for a product leader with real data fluency: probably not a traditional consumer product manager, but someone with a foot in the data science world—as comfortable interrogating a classification model as running a product review—who gets excited about turning a 400-million-document UGC corpus into a strategic asset.