Engineering Manager, ML​/Data Engineering - Content Trust

Engineering Manager, ML/Data Engineering (Content Trust)

Scribd, Inc. – Join our team and help build a safer, trustworthy library.

At Scribd Inc., our mission is to spark human curiosity and democratize knowledge through our products:
Everand, Scribd, Slideshare, and Fable. We embrace flexibility, collaboration, and prioritizing the customer.

The ML Data Engineering team builds high-throughput, ML‑driven pipelines that process hundreds of millions of documents to detect, classify, and mitigate untrustworthy content. As manager, you will lead a specialized team to build scalable ML foundations that detect harmful content, ensuring safety classifiers and automated policy enforcement tools are performant and resilient.

• Lead and grow a high‑performing engineering team, managing, mentoring, and recruiting world‑class data and ML engineers.
• Architect scalable ML data pipelines that support batch and real‑time inference for content moderation and risk detection.
• Build and maintain the foundational data layers—semantic embeddings, metadata extracts, and behavioral signals—that power Content Trust ML models.
• Partner with Search & Discovery and Applied Research teams to integrate ML/LLM‑based reasoning into trust pipelines.
• Drive operational excellence by establishing SLAs for infrastructure and ensuring automated enforcement systems are fast and explainable.
• Collaborate cross‑functionally with Product Managers, Legal/Policy teams, and Data Science to translate evolving regulatory requirements (e.g., DSA) into robust technical architectures.

• Leadership experience: 8+ years total engineering experience, with 3+ years in people‑management or technical lead roles within a Data or ML Engineering organization.
• Scale expertise:
  Proven track record building and operating production‑grade data pipelines at massive scale (100M+ entities) using Spark, Flink, Kafka, or Airflow.
• ML infrastructure fluency:
  Deep understanding of the ML lifecycle, including feature engineering, model deployment (MLOps), and vector databases (e.g., Pinecone, Milvus, or Weaviate).
• Trust & safety context:
  Prior experience building systems for content moderation, fraud detection, spam prevention, or digital rights management.
• Technical breadth:
  Proficiency in Python, Scala, or Go, and experience with cloud‑native infrastructure (AWS/GCP, Kubernetes, Snowflake/Big Query).
• Strategic communication:
  Ability to explain complex architectural trade‑offs to non‑technical stakeholders in Legal, Policy, and Product.

• LLM pipelines:
  Experience building RAG pipelines or managing the data infra for fine‑tuning Large Language Models.
• UGC experience:
  Background working with large‑scale User Generated Content ecosystems.
• Regulatory knowledge:
  Familiarity with technical requirements of global safety regulations such as the Digital Services Act or the UK Online Safety Act.
• Adversarial mindset:
  Experience building systems that defend against malicious actors and evolving platform abuse patterns.

In the United States, California, the expected salary range is $163,000 – $254,500. Outside California, the range is $134,500 – $241,500. In Canada, the range is CAD 171,000 – CAD 244,000.

• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees.
• 12 weeks paid parental leave.
• Short‑term/long‑term disability plans.
• 401k/RSP matching.
• Onboarding stipend for home‑office peripherals and accessories.
• Learning & Development allowance and programs.
• Quarterly stipend for wellness, Wi‑Fi, etc.
• Mental health support and resources.
• Free subscription to the Scribd suite of products.
• Referral bonuses.
• Book benefit.
• Sabbaticals.
• Company‑wide events.
• Team engagement budgets.
• Vacation & personal days.
• Paid holidays (including winter break).
• Flexible sick time.
• Volunteer day.
• Employee Resource Groups and inclusive workplace programs.
• Access to free AI tools to boost productivity.

• United States:
  Atlanta, Austin, Boston, Dallas, Denver, Chicago, Houston, Jacksonville, Los Angeles, Miami, New York City, Phoenix, Portland, Sacramento, Salt Lake City, San Diego, San Francisco, Seattle, Washington D.C.
• Canada:
  Ottawa, Toronto, Vancouver.
• Mexico:
  Mexico City.

Base location:
Burnaby, British Columbia, Canada.

Seniority level:
Mid‑Senior level.

Employment type:

Full‑time.

We want our interview process to be accessible to everyone. Please email  with any reasonable adjustments you need at any point in the interview process.

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 creates a foundation for the best ideas.