Product Manager, Trust & Safety Platform

rednote; Palo Alto (CA); Presencial; USD 250.000 - 400.000; Jornada completa

Descripción de la vacante

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

Formación

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

Responsabilidades

• 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.

Conocimientos

Product management

AI platforms

Trust & Safety

Cross-functional collaboration

LLM technologies

Educación

Bachelor’s degree in CS/AI/Data Science

Descripción del empleo

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 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.

The Pay Range For This Role Is

250,000 - 400,000 USD per year(Palo Alto, CA)