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Scribd, Inc. Tech Stack

Digital library and content platform with AI-powered discovery and analytics

Software Development San Francisco, California 201–500 employees Founded 2007 Privately Held

Scribd operates a four-product portfolio (Scribd, Slideshare, Everand, Fable) centered on digital content access and learning. The tech stack reveals a company in architectural transition: Python and Go backends, Next.js frontend adoption displacing Ruby on Rails, and heavy investment in data infrastructure (Airflow, Databricks, Delta Lake). Active projects span generative AI features, LLM-powered solutions, and metadata enrichment—paired with internal pain around monolith decomposition and legacy SPA migration—indicating a platform refactoring to support ML-first product experiences at scale.

Tech Stack 20 technologies

AdoptingNext.js
ReplacingRuby on Rails

What Scribd, Inc. Is Building

Challenges

  • Migrating legacy spa
  • Improving experimentation infrastructure
  • Decomposing monolith
  • Scaling data pipelines
  • Evolving detection & response capabilities
  • Cost-efficient pipelines
  • Deep actionable knowledge
  • Improving user acquisition and retention
  • Reducing coupling
  • Cutting through noise

Active Projects

  • Experiment design
  • Deploy scalable ml and llm-powered solutions
  • Metadata extraction and enrichment
  • Qa frameworks
  • Lead growth platform team
  • Recommendation surfaces
  • Measurement architecture
  • Generative ai features
  • Premium product experience optimization
  • Zero-to-one integrations of ml into user-facing features

Hiring Activity

Accelerating650 roles · 650 in 30d

Department

Engineering
277
Data
171
Ops
51
Product
37
Marketing
32
Security
24
Design
23
Support
23

Seniority

Senior
372
Mid
128
Lead
57
Director
47
Manager
23
Staff
23
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About Scribd, Inc.

Scribd, Inc. builds digital platforms for content discovery, sharing, and learning across a four-product suite: Scribd (digital library), Slideshare (presentation sharing), Everand (audiobook and ebook subscription), and Fable (visual storytelling). The company serves individual readers, authors, and enterprise knowledge teams, primarily monetized through subscription models. With 201–500 employees based in San Francisco, Scribd's engineering and data departments are substantially scaled, supported by active infrastructure work around ML pipelines, recommendation algorithms, and experimentation frameworks.

HeadquartersSan Francisco, California
Company Size201–500 employees
Founded2007
Hiring MarketsUnited States, Mexico, Canada

Frequently Asked Questions

What is Scribd's tech stack built on?

Primary languages are Python, Go, Scala, and Ruby on Rails; frontend uses Next.js and React. Data layer runs on Apache Airflow, Databricks, and Delta Lake. Cloud infrastructure is AWS. The company is actively adopting Next.js while phasing out Ruby on Rails.

What is Scribd working on in AI and ML?

Active projects include deploying LLM-powered solutions, generative AI features, metadata extraction, recommendation surfaces, and zero-to-one ML integrations into user-facing products. Infrastructure work targets scalable ML pipelines and improved experimentation frameworks.

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