Jobs at Scribd
World's largest online library.
About Scribd
as of Oct 2026Real knowledge, uploaded by real people.[1]
Scribd is an AI-powered knowledge company that provides access to millions of human-sourced documents. They aim to bridge the gap between information access and real understanding by leveraging a vast content collection and intelligent tools.[2]
Product
Scribd offers a subscription-based service providing access to over 300 million documents, including books, audiobooks, magazines, presentations, and research papers. Users can explore, learn, and apply knowledge, with options for ad-supported access and a free trial that includes ad-free browsing, document downloads, and AI-powered insights.[1]
Sells to: consumers[2]
Founders
- Tony Grimminck · Chief Executive Officer[2]
He joined Scribd, Inc. as Chief Financial Officer in 2019 and was appointed CEO in 2023, bringing deep experience in finance, strategy, and scaling consumer-focused businesses.
Previously: HotelTonight, StubHub, Goldman Sachs, J.P. Morgan, Australian Army
- Patsy Mangan · Chief People Officer[2]
She is known for progressive thinking and building innovative people strategies that strengthen culture and performance.
[ Open roles ]
- Senior Technical Program ManagerNot specified
- Senior Machine Learning Engineer, Premium DiscoveryRemote
- Data Scientist IiRemote
Data Scientist II at Scribd on the Applied Research team. This role leverages machine learning, natural language processing, and generative AI models to develop solutions for users and the business. The team drives innovation in product experimentation, metadata generation, and model development, collaborating with Product and Engineering partners.
- Content Lead, SocialNot specified
- Lead Product Analyst, Content Supply & UnderstandingNot specified
- Senior Ios EngineerNot specified
- Principal Analytics Engineer, Ai Native Self Service AnalyticsNot specified
- Senior Manager, Performance & Organic GrowthRemote
Senior Manager, Performance & Organic Growth at Scribd, Inc. This role owns strategy across paid and organic discovery, including paid search, paid social, affiliate, SEO, and LLM-driven search. The position requires leading a team of channel experts to build an efficient acquisition engine across Everand, Fable, and Scribd.
- Senior Paid Social ManagerRemote
Scribd is hiring a Senior Paid Social Manager to join their performance marketing team. This role will focus on scaling user acquisition for Everand and Fable products through paid social advertising strategies across platforms like Meta, TikTok, and Reddit.
- Software Engineer Ii (fullstack), Growth PlatformNot specified
- Principal Engineer ( Ai + Dev Tooling)Remote
- Staff Software Engineer, Core InfrastructureRemote
Scribd is hiring a Staff Software Engineer for their Core Infrastructure team. This role involves building and operating the foundational cloud infrastructure, networking, databases, and observability systems that enable product teams to move quickly. The team also owns the Content Library, a unified storage and governance platform for all content across Scribd's products.
- Senior Manager, Customer OperationsNot specified
- Staff Backend Engineer (payments and Billing)Not specified
- Lead Product Manager, EverandNot specified
- Senior Training & Quality Assurance StrategistNot specified
- Staff Cloud Security EngineerNot specified
- Lead Product Manager, User Acquisition (scribd.com)Remote
Scribd is seeking a Lead Product Manager for Acquisition to define strategies for acquiring new users. This role will own the product roadmap and engineering investment for acquisition channels, working with Performance Marketing, SEO, Partnerships, and Brand teams.
- Tech Lead, Analytics Engineering — Payments, Identity, Trust and SafetyNot specified
- Senior Product Designer, Growth (everand & Fable)Not specified
- Staff Software Engineer, Core EverandRemote
- Director of Analytics EngineeringRemote
Scribd is hiring a Director of Analytics Engineering. This role is part of the Data & Analytics team, which is building the foundation for an AI-native company. The Analytics Engineering team transforms fragmented data into trusted, reusable data foundations and products to enable intelligence.