Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Sep 23, 2026.
Join Scribd, Inc., a leading digital library and reading subscription service. As the Senior Engineering Manager for Content Foundations, you will lead the team responsible for how content enters Scribd, shaping the future of document ingestion and AI integration. You will be the technical leader, people leader, and partner to the content organization, driving product impact and operational excellence. Enjoy a comprehensive benefits package, including healthcare coverage, paid parental leave, and a free subscription to Scribd.
Missions
- Define the vision and strategy for how content enters Scribd, leading the evolution of the document platform 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 to ensure every document is understood, trusted, and enriched by intelligent systems.
- 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.
Profil recherché
- 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

