Director, Content Intelligence & Supply

Scribd, Inc.; Denver (CO); Hybrid; USD 203,000 - 270,000; Full time

Benefits offered by this job

Scribd Flex (flexible work model)

Health, dental, and vision coverage

Paid time off and holidays

Parental leave and family support

Retirement matching and equity

Learning and development opportunities

Job summary

Scribd, Inc. is seeking a senior product leader to own the Content Intelligence & Supply domain, unifying classification, metadata, quality, and corpus growth.

This role reports to the Chief Product Officer and leads an established team, aligning corpus decisions with business outcomes across Scribd, Slideshare, and related platforms. You will drive end-to-end content strategy, leverage data fluency, and collaborate with ML, data science, and engineering to turn a 400-million-document corpus

Qualifications

• 10+ years of product management experience, including 4+ years leading product teams.
• Strong data fluency and ability to work with ML and data science teams.
• Experience with content platforms, search, and recommendations.
• Strategic operator capable of tying content decisions to business outcomes.

Responsibilities

• Own the content understanding roadmap: classification, enrichment, metadata, quality across the UGC corpus.
• Grow UGC supply end-to-end: uploads, conversions, and supply-side experience.
• Build the AI knowledge infrastructure: segmentation, corpus description, metadata retrieval.
• Lead senior product leaders and partner with engineering, ML, and data science teams.

Skills

Product management

Data fluency

Cross-functional leadership

ML/AI familiarity

Strategic portfolio

Job description

Scribd, Inc. is seeking a senior product leader to own the Content Intelligence & Supply domain, unifying classification, metadata, quality, and corpus growth.

This role reports to the Chief Product Officer and leads an established team, aligning corpus decisions with business outcomes across Scribd, Slideshare, and related platforms. You will drive end-to-end content strategy, leverage data fluency, and collaborate with ML, data science, and engineering to turn a 400-million-document corpus