Director of Product, Content Intelligence & Growth

About the role

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.

Responsibilities

• Know the corpus
  • Own the content understanding roadmap: classification, enrichment, metadata, and quality across the UGC corpus.
  • Drive corpus gap analysis: where the corpus is deep, where it's thin, and how user-generated and partner content behave differently.
  • Make the corpus legible—to our own products (search, discovery, recommendations) and to the teams and systems that build on it.
  • Set direction for classification and corpus-analysis work with credibility, in close partnership with applied ML, engineering, and data science teams.
• Grow the supply
  • Own UGC supply end to end: uploads, conversions, and the supply-side user experience. The people who add content to our platforms are your customer.
  • Unify content acquisition strategy: set priorities across user-generated supply, partnerships, and other related programs that today run independently—coordinating the strategy while execution stays with the teams closest to it.
  • Connect supply to demand: partner with the consumer product orgs so the corpus grows where it creates the most value for readers, learners, and subscribers.
• Build the knowledge infrastructure for AI
  • Own the AI product foundation of our UGC corpus: segmentation, sampling, corpus description, and the metadata and retrieval capabilities. The scope is the UGC corpus only: content in our premium catalogs is not part of it.
  • Partner with business development on evolving corpus intelligence needs.
• Lead and develop the team
  • Lead senior product leaders and an established program with its own charter, engineering squads, and embedded analysts.
  • Step into a team with strong people already in seat: earn trust quickly, raise the bar, and multiply the leaders around you.
  • Operate as a peer among directors and VPs: represent content strategy in executive conversations with clarity and confidence, and connect corpus decisions to business outcomes.

Requirements

• 10+ years of product management experience, including 4+ years leading product teams or senior PMs.
• Depth in data-heavy product domains: ML/AI-powered products, search, recommendations, content platforms, or marketplaces.
• Genuine data fluency—you can credibly direct classification and corpus-analysis work and partner with applied ML and data science teams as an equal, even if you don't build the models yourself.
• Familiarity with common data structures around the use of content for AI training.
• Experience with supply-side or two-sided product dynamics: creators, contributors, sellers, or content acquisition.
• A strategic operator who connects content decisions to business outcomes—licensing revenue, product quality, growth—and can hold a portfolio-level roadmap.
• Strong communication and cross-functional leadership: comfortable operating with executives and setting priorities across teams you don't manage.
• Experience with content licensing or B2B data products is a plus.

Pay

In the state of California, the reasonably expected salary range is between $214,000 (minimum salary in our lowest geographic market within California) to $280,000 (maximum salary in our highest geographic market within California). In the United States, outside of California, the reasonably expected salary range is between $203,000 (minimum salary in our lowest US geographic market outside of California) to $270,000 (maximum salary in our highest US geographic market outside of California). In Canada, the reasonably expected salary range is between $190,000 CAD (minimum salary in our lowest geographic market) to $250,000 CAD (maximum salary in our highest geographic market).

This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.

Benefits

• Scribd Flex (flexible work model)
• Comprehensive health, dental, and vision coverage
• Mental health support and disability coverage
• Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
• Paid parental leave and family support benefits
• Retirement matching and employee equity
• Learning and development programs and professional growth opportunities
• Wellness and home office stipends
• Complimentary access to the Scribd, Inc. suite of products
• Enterprise access to leading AI tools

Schedule

Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. Employees must have their primary residence in or near one of the following cities (including surrounding metro areas or locations within a typical commuting distance):

• United States: Atlanta, Austin, Boston, Dallas, Denver, Chicago, Houston, Jacksonville, Los Angeles, Miami, New York City, Phoenix, Portland, Sacramento, Salt Lake City, San Diego, San Francisco, Seattle, Washington D.C.
• Canada: Ottawa, Toronto, Vancouver
• Mexico: Mexico City