The ad says“You’ll be the people leader for the team: hiring, growing, and inspiring a group of backend and AI data engineers, and shaping its culture, standards, and identity from its first days”
The ad says“You’ll be the people leader for the team: hiring, growing, and inspiring a group of backend and AI data engineers, and shaping its culture, standards, and identity from its first days”
Values
The ad says“Enthusiasm for applied AI in production systems, with experience (or strong intent) integrating ML models, LLM-based document processing”
The ad says“Clear, direct communication with product, engineering, and cross-functional partners”
The ad says“Depth in high-throughput distributed systems and data pipelines: streaming and event-driven architectures, ingestion and transformation at scale, and the judgment to evolve a live, high-volume system toward real time while it keeps running”
The ad says“Depth in high-throughput distributed systems and data pipelines: streaming and event-driven architectures, ingestion and transformation at scale, and the judgment to evolve a live, high-volume system toward real time while it keeps running”
The ad says“Experience with document processing at scale: conversion pipelines, vision-language parsing, PDF and rich-document formats, media transcoding, or content-serving and streaming systems”
The ad says“Familiarity with RAG and retrieval infrastructure, such as chunking strategies, embedding pipelines, vector search, or grounding systems for LLMs and agents”
The ad says“Enthusiasm for applied AI in production systems, with experience (or strong intent) integrating ML models, LLM-based document processing”
The ad says“Experience with document processing at scale: conversion pipelines, vision-language parsing, PDF and rich-document formats, media transcoding, or content-serving and streaming systems”
The ad says“Enthusiasm for applied AI in production systems, with experience (or strong intent) integrating ML models, LLM-based document processing”
The ad says“Operational excellence: reliability, observability, and on-call health are first-class engineering work for you”
The ad says“Operational excellence: reliability, observability, and on-call health are first-class engineering work for you”
The ad says“Familiarity with RAG and retrieval infrastructure, such as chunking strategies, embedding pipelines, vector search, or grounding systems for LLMs and agents”
The ad says“Operational excellence: reliability, observability, and on-call health are first-class engineering work for you”
The ad says“Familiarity with RAG and retrieval infrastructure, such as chunking strategies, embedding pipelines, vector search, or grounding systems for LLMs and agents”
The ad says“A security-minded approach to building systems: you design for safe handling of untrusted input, least-privilege access, and data protection from the start”
The ad says“Depth in high-throughput distributed systems and data pipelines: streaming and event-driven architectures, ingestion and transformation at scale, and the judgment to evolve a live, high-volume system toward real time while it keeps running”
The ad says“Familiarity with RAG and retrieval infrastructure, such as chunking strategies, embedding pipelines, vector search, or grounding systems for LLMs and agents”
Content Foundations is a newly formed team at the center of Scribd, Inc
‘s biggest strategic investment
Behind our UGC brands (Scribd and Slideshare) sits one of the largest corpora of human-created knowledge anywhere: hundreds of millions of documents and presentations
Every piece of that knowledge passes through one system
It’s uploaded, understood, transformed, and served to millions of customers, and agents that cite it, ground it, and learn from it
Content Foundations owns that system, and its work lands in two places at once
It powers the product roadmap: faster uploads, richer document experiences, and the growth of the corpus
And it operates as a platform for the teams that build on it: trust & safety, content understanding, supply, and AI platform teams all consume its interfaces
What this team ships translates directly into product outcomes for users and velocity for every team downstream
Content sits at the very top of Scribd, Inc
‘s strategy: it’s the engine of our consumer brands and the foundation of our growth, and the ingestion platform is where all of it begins
We’re hiring the engineering manager for Content Foundations to build and lead the team that owns how content enters Scribd
This is a leadership role at the intersection of large-scale data infrastructure and applied AI, and it carries three responsibilities in equal measure
You’ll be the technical leader for the platform: setting the vision for real-time, AI-native ingestion, making the architectural calls that evolve a live, high-scale system, and holding the quality and reliability bar for a system the whole company depends on
You’ll be the people leader for the team: hiring, growing, and inspiring a group of backend and AI data engineers, and shaping its culture, standards, and identity from its first days
And you’ll be the partner the content organization plans around: running the team’s roadmap as a product, making commitments other teams can build against, and representing the platform in decisions with product and engineering leaders across the company
The industry is redefining what document ingestion means
Documents can now be parsed, classified, safety-checked, and enriched in real time at the moment of upload, before they ever reach a reader, with vision-language models and intelligent chunking replacing what OCR and batch pipelines used to approximate
You’ll bring those capabilities into one of the world’s largest document platforms, with the corpus scale to make it matter
Own the vision and strategy for how content enters Scribd, and lead the evolution of one of the world’s largest document platforms into a real-time, AI-native ingestion system
Build state-of-the-art AI into the heart of the platform, partnering with ML and AI teams so that every document is understood, trusted, and enriched by intelligent systems from the moment it arrives, and is ready for both human readers and AI agents
Turn platform capability into product impact, partnering with product to deliver the supply-side roadmap, make our content discoverable by readers, groundable by AI assistants and create visible wins for the contributors who grow the corpus
Lead, grow, and inspire a founding team of backend and AI data engineers, shaping its culture, hiring, technical standards, and career growth from day one
Run the team as a product, defining the roadmap, priorities, and commitments that teams across the content organization plan against, and building the operational excellence of a system the whole company depends on
Champion security as first-class design principles, building a platform that safely processes untrusted content at massive scale and safeguards the corpus
Influence across the organization, partnering with senior product and engineering leaders across trust & safety, content understanding, supply, and AI platform teams to sequence one shared content mission
Benefits
Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
12 weeks paid parental leave
Short-term/long-term disability plans
401k/RSP matching
Tuition Reimbursement
Learning & Development programs
Quarterly stipend for Wellness, Connectivity & Comfort
Mental Health support & resources
Free subscription to Scribd + gift memberships for friends & family
A security-minded approach to building systems: you design for safe handling of untrusted input, least-privilege access, and data protection from the start
Enthusiasm for applied AI in production systems, with experience (or strong intent) integrating ML models, LLM-based document processing
Clear, direct communication with product, engineering, and cross-functional partners
A platform-product mindset: you’ve built systems other teams and product surfaces depend on, and you know how to design interfaces, SLAs
Depth in high-throughput distributed systems and data pipelines: streaming and event-driven architectures, ingestion and transformation at scale, and the judgment to evolve a live, high-volume system toward real time while it keeps running
Operational excellence: reliability, observability, and on-call health are first-class engineering work for you
8+ years in software engineering, including 3+ years leading backend, data-infrastructure, or platform engineering teams
Familiarity with RAG and retrieval infrastructure, such as chunking strategies, embedding pipelines, vector search, or grounding systems for LLMs and agents
Experience with document processing at scale: conversion pipelines, vision-language parsing, PDF and rich-document formats, media transcoding, or content-serving and streaming systems
Founding-manager experience: standing up a new team and its platform from a blank page
Experience on UGC or marketplace platforms where content quality, trust, and scale intersect
