Our four products — Scribd®, Slideshare®, Everand™, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when individual flexibility is balanced with meaningful community connection.

Scribd

Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in‑person moments that strengthen collaboration and culture.

Content

Foundations is a newly formed team at the center of Scribd, Inc.'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. 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.

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. 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. 8+ years in software engineering, including 3+ years leading backend, data‑infrastructure, or platform engineering teams. ~ 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. ~ Enthusiasm for applied AI in production systems, with experience (or strong intent) integrating ML models, LLM‑based document processing. ~ A security‑minded approach to building systems: you design for secure handling of untrusted input,



least‑privilege access, and data protection from the start. ~ Operational excellence: reliability, observability, and on‑call health are first‑class engineering work for you. ~ Clear, direct communication with product, engineering, and cross‑functional partners.

Experience with document processing at scale: conversion pipelines, vision‑language parsing, PDF and rich‑document formats, media transcoding, or content‑serving and streaming systems. Familiarity with RAG and retrieval infrastructure, such as chunking strategies, embedding pipelines, vector search, or grounding systems for LLMs and agents.

Experience on UGC or marketplace platforms where content quality, trust, and scale intersect. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. In Canada, the reasonably expected salary range is between $198,000 CAD[minimum salary in our lowest geographic market] to $252,500 CAD[maximum salary in our highest geographic market]. relevant education or training; In the event that you are considered for a different level, a higher or lower pay range would apply.

This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.

Scribd

Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Wellness and home office stipends Enterprise access to leading AI tools If you apply for a job with Scribd, Inc. or otherwise engage with us in connection with employment (including as an employee, contractor, or other personnel), the personal information we process in that context is subject to our Employee and Applicant Privacy Policy, which is available here. Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas.

Come join us in building something meaningful. #

📌 Senior Engineering Manager, Backend (Content Foundations) (Toronto)
🏢 Kibbi Technologies
📍 Toronto