Product Manager, Trust & Safety Platform in Palo Alto, California at rednote

About rednote

rednote is one of the world's most trusted platforms, where over 350 million people share how they actually live, travel, create, and discover. In a world of infinite content, what sets rednote apart is its source: real human experience, honestly lived and generously shared — one note at a time. We are now writing our global chapter, and this team is at the forefront.

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.