Engineering Manager, Real-Time AI Content Ingestion

Scribd, Inc.; Dallas (TX); On-site; USD 154,000 - 268,000; Full time

Benefits offered by this job

Scribd Flex (flexible work model)

Health coverage

Paid time off

Parental leave

Job summary

Scribd, Inc. is hiring an engineering manager for Content Foundations to lead a team that designs how content enters Scribd at scale. You will set the vision for real-time, AI-driven ingestion and guide architectural decisions for a live data platform used across the company.

You will also hire and mentor backend and AI data engineers, build a strong team culture, and partner with product to align roadmaps with company priorities, delivering reliable, secure content processing at scale.

Qualifications

• 8+ years in software engineering and 3+ years leading backend, data‑infrastructure, or platform teams.
• Experience with high-throughput distributed systems and data pipelines.
• Enthusiasm for applying AI in production systems and integrating ML models.

Responsibilities

• Define and drive the vision for real-time, AI-native ingestion at scale.
• Build AI into the platform, enabling understanding and enrichment of every document on ingest.
• Turn platform capabilities into product impact with roadmap and commitments across teams.
• Lead and grow a founding backend and AI data engineering team, shaping culture and standards.
• Run the team as a product, defining roadmaps and operational excellence.
• Champion security and safe handling of untrusted content at scale.
• Collaborate with senior leaders across trust & safety, content understanding and AI platform.

Skills

Backend leadership

Distributed systems

AI in production

Platform engineering

Communication

Job description

Scribd, Inc. is hiring an engineering manager for Content Foundations to lead a team that designs how content enters Scribd at scale. You will set the vision for real-time, AI-driven ingestion and guide architectural decisions for a live data platform used across the company.

You will also hire and mentor backend and AI data engineers, build a strong team culture, and partner with product to align roadmaps with company priorities, delivering reliable, secure content processing at scale.