Scribd, Inc. Tech Stack

Digital library platform with four content verticals and AI-powered metadata infrastructure

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

Scribd operates a multi-product content ecosystem (ebooks, audiobooks, presentations, and digital comics) serving billions of users globally. The tech stack reveals a data-and-ML-heavy engineering org: Python, Scala, Spark, Databricks, and Delta Lake form the backbone, paired with SageMaker for model serving. Active projects cluster around generative AI metadata enrichment, content extraction for LLM training, and user acquisition funnel optimization — signaling a pivot toward AI-assisted curation and discovery rather than pure content hosting. The 136-person engineering team dwarfs other departments, consistent with infrastructure-intensive platform scaling.

Tech Stack 32 technologies

Core StackPython AWS Scala Ruby on Rails Apache Airflow Databricks Apache Spark AWS Lambda SageMaker CloudWatch Datadog Terraform Go Delta Lake Next.js React JavaScript GraphQL TypeScript Google Ads Slack Django PostgreSQL AWS ECS AWS SQS ElastiCache Scribd Slideshare Fable SlideShare+2 more

What Scribd, Inc. Is Building

◆Challenges

Improving test reliability
Metadata extraction at scale
Reducing signup friction
Metadata inconsistencies at scale
Content format variability
Upload flow improvements
Scaling paid social spend
Improving ltv:cac
Landing page friction
Optimizing user acquisition

▲Active Projects

Generative ai metadata enrichment platform
Frontend experiences for user acquisition and activation funnels
A/b testing optimization
Data-informed personalization features
Upload flow improvements
Content quality validation
Content extraction for ml/llm
Structured testing plans
Cro testing roadmap
Attribution modeling

Hiring Activity

Accelerating220 roles · 220 in 30d

Department

Engineering

136

Marketing

Design

Data

Product

Seniority

Mid

111

Senior

Staff

Lead

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About Scribd, Inc.

Scribd, Inc. operates four digital content products: Scribd (ebooks and audiobooks), Slideshare (presentation sharing), Everand (curated digital collections), and Fable (digital comics). The company serves a global audience through subscription and free-tier models, with content sourced from publishers, independent authors, and user-generated uploads. The platform handles heterogeneous content formats (PDFs, EPUB, video, presentations) and relies on AWS infrastructure (Lambda, ECS, SQS, ElastiCache) to manage scale. The organization is primarily engineering-driven, with secondary focus on marketing and design, headquartered in San Francisco and hiring across North America.

HeadquartersSan Francisco, California

Company Size201–500 employees

Founded2007

Hiring MarketsUnited States, Canada, Mexico

Frequently Asked Questions

What is Scribd's tech stack?

Python, Scala, and Ruby on Rails for application logic; Apache Spark, Databricks, and Delta Lake for data processing; AWS services (Lambda, ECS, SQS, ElastiCache) for compute and storage; SageMaker and GraphQL for ML and API layers.

What is Scribd working on?

Generative AI metadata enrichment, content extraction for ML/LLM training, A/B testing optimization, user acquisition funnel improvements, and data-informed personalization features.

How this profile is built

Scribd, Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.