Engineering Manager, Real-Time AI Content Ingestion

Scribd, Inc.; Phoenix (AZ); On-site; USD 155,000 - 268,000; Full time

Benefits offered by this job

Scribd Flex (flexible work model)

Comprehensive health, dental, and vis​

Job summary

Scribd, Inc. is seeking an Engineering Manager for Content Foundations to lead real-time, AI-powered content ingestion at scale. You will shape platform vision, guide a founding backend/AI data engineering team, and partner with product to deliver a measurable supply-side roadmap.

You'll champion security, reliability, and cross‑functional collaboration while aligning architecture with Scribd's strategic goals and customer needs.

Qualifications

• 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 platform-product mindset: you've built systems other teams and product surfaces depend on, and you know how to design interfaces, SLAs.
• A security‑minded approach to building systems: you design for safe 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.

Responsibilities

• 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.

Job description

Scribd, Inc. is seeking an Engineering Manager for Content Foundations to lead real-time, AI-powered content ingestion at scale. You will shape platform vision, guide a founding backend/AI data engineering team, and partner with product to deliver a measurable supply-side roadmap.

You'll champion security, reliability, and cross‑functional collaboration while aligning architecture with Scribd's strategic goals and customer needs.