1 jobs in rednote
AI Platform Product Manager, Trust & Safety
Singapore
rednote
Posted 19 days ago
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Job 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.
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.
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