Product Manager - AI-Driven Trust & Safety Platform

rednote; Palo Alto (CA); On-site; USD 250,000 - 400,000; Full time

Job summary

rednote is seeking a Product Manager, Trust & Safety Platform to join our Trust & Safety team and help build the next generation of AI-native safety infrastructure for our global content platform. You will collaborate with engineering, ML, policy, and operations to design AI-powered systems for moderation, investigation, and safety decision-making across markets.

You will define the product vision, strategy, and roadmap for an AI-native platform that unifies risk governance and enables scalable

Qualifications

• Bachelor’s degree or above in Computer Science, AI, Data Science, or related technical field.

Responsibilities

• Define the product vision, strategy, and roadmap for an AI-native Trust & Safety platform that connects risk governance across 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 workflows into a unified platform for scalability, efficiency, and governance visibility.
• Partner with engineering, ML, policy, and operations teams to translate safety requirements into scalable platform capabilities.

Skills

Product management

AI platforms

Trust & Safety

Cross-functional collaboration

LLM technologies

Education

Bachelor’s degree in CS/AI/Data Science

Job description

rednote is seeking a Product Manager, Trust & Safety Platform to join our Trust & Safety team and help build the next generation of AI-native safety infrastructure for our global content platform. You will collaborate with engineering, ML, policy, and operations to design AI-powered systems for moderation, investigation, and safety decision-making across markets.

You will define the product vision, strategy, and roadmap for an AI-native platform that unifies risk governance and enables scalable