Engineering Manager, ML​/Data Engineering; Content Trust

Join to apply for the Engineering Manager, ML/Data Engineering (Content Trust) role at Scribd, Inc.

At Scribd Inc. (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our four products:
Everand, Scribd, Slideshare, and Fable.

This posting reflects an approved, open position within the organization.

We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.

When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It’s through our flexible work benefit, Scribd Flex, that employees – in partnership with their manager – can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection.

For this reason, occasional in-person attendance is required for all Scribd Inc. employees, regardless of their location.

So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd Inc., we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to.

Here’s what that means for you: we’re looking for someone who showcases the ability to set and achieve Goals, achieve Results within their job responsibilities, contribute Innovative ideas and solutions, and positively influence the broader Team through collaboration and attitude.

The ML Data Engineering team is the backbone of Scribd’s commitment to a safe and trustworthy library. We build high-throughput, ML-driven data pipelines that process hundreds of millions of documents to detect, classify, and mitigate untrustworthy content.

As the Manager of ML Data Engineering
, you will lead a specialized team of engineers responsible for building scalable ML based foundations that can detect and deal with harmful content. You aren't just moving data; you are building the infrastructure that allows ML models to reason across our entire corpus in batch and real-time. Your team’s work ensures that our safety classifiers, and automated policy enforcement tools are performant, scalable, and resilient.

You will sit at the intersection of Big Data, AI, MLOps, and Platform Integrity, directly impacting the safety of millions of our users.

• Lead and grow a high-performing engineering team:
  Manage, mentor, and recruit a world-class team of data and ML engineers. Foster a culture of technical excellence, operational rigor, and deep empathy for the user safety mission.
• Architect scalable ML data pipelines:
  Design and oversee the development of distributed data processing systems capable of handling hundreds of millions of documents. Ensure these pipelines support both batch and real-time inference for content moderation and risk detection.
• Build the "Trust" scores:
  Develop and maintain the foundational data layers - including semantic embeddings, metadata extracts, and behavioral signals - that power our Content Trust ML models.
• Partner on AI/LLM Integration:
  Work closely with the Search & Discovery and Applied Research teams to integrate ML/LLM-based reasoning into our trust pipelines, enabling more nuanced understanding of complex policy violations.
• Drive Operational Excellence:
  Establish SLAs for infrastructure, ensuring our automated enforcement systems are both fast and explainable.
• Cross-functional Leadership:
  Collaborate with Product Managers (Content Trust), Legal/Policy teams, and Data Science to translate evolving regulatory requirements (like the DSA) into robust technical architectures.

• Leadership
  
  Experience:
  
  8+ years of…