AI Platform Product Manager, Trust & Safety

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.

Key Responsibility

• 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.

Preferred Qualifications

• Experience building internal platforms for Trust & Safety, moderation operations, or risk governance.
• Experience working with machine learning or LLM teams on AI-powered products.
• Familiarity with agent orchestration frameworks, prompt engineering, or AI automation tools.
• Experience working in global internet platforms or large-scale user-generated content ecosystems.