Product Manager, Trust & Safety Platform

rednote

  • Palo Alto, California
  • 27 days ago

    Highlights

    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. Integrate fragmented moderation tools, risk systems, and operational workflows into a unified platform to improve scalability, efficiency, and governance visibility.

    Numbers & Facts

    LocationPalo Alto, California

    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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