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Product Manager, Trust & Safety Platform

rednote Palo Alto, California, United States · $250K–$400K/yr

Technology, Information and Internet · 11-50 employees

Aug 17
product-manager Mid (2-5 yrs) Full-time United States
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About the role

Define the product vision and roadmap for an AI-native Trust & Safety platform to manage risk governance and moderation workflows. Collaborate with engineering, machine learning, and policy teams to integrate tools into a unified, scalable safety infrastructure.

What they look for

Product Management Trust & Safety AI Platforms Machine Learning Systems Design Risk Governance Data Platforms LLM Technologies Agent Architectures Workflow Automation Platform Strategy Cross-functional Collaboration Risk Sensing Moderation Tools Scalable Architecture

Requirements

Requires a bachelor's degree in a technical field and at least 3 years of product management experience in AI or risk control platforms. Candidates must possess strong systems design capabilities and familiarity with LLM technologies and AI workflow automation.

Full description

About the role

We are looking for a Product Manager, Trust & Safety Platform to join our Trust & Safety (TnS) team and help build the next generation of AI-native safety infrastructure for our global content platform.

You will collaborate closely with engineering, machine learning, policy, and operations teams to design AI-powered systems that support moderation, investigation, and safety decision-making across global markets.

What you'll do

  • Define the product vision, strategy, and roadmap for an AI-native Trust & Safety platform that connects the full lifecycle of risk governance, including risk sensing, detection, moderation, enforcement, and evaluation.
  • Design and scale AI-native safety systems to support automated investigation and moderation workflows, risk analysis, and decision support.
  • Integrate fragmented moderation tools, risk systems, and operational workflows into a unified platform to improve scalability, efficiency, and governance visibility.
  • Partner with engineering, machine learning, policy, and operations teams to translate complex safety requirements into scalable AI-powered platform capabilities.

Qualifications

  • Bachelor’s degree or above in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
  • 3+ years of product management experience in AI platforms, Trust & Safety systems, risk control platforms, or complex data platforms.
  • Familiarity with LLM technologies, agent architectures, or AI workflow automation systems.
  • Strong platform product thinking and systems design capability, with the ability to design scalable architectures and complex operational workflows.
  • Excellent cross-functional collaboration skills and the ability to work effectively with engineering, ML, policy, and operations teams.

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