Senior Product Manager (AI Solutions), Trust & Safety

About the Team We are the TnS-Platform Product team, sitting in TnS-RPR(Risk Prevention and Response) , aiming to provide product solutions with tooling support for RPR business and XFN to inspire, preserve, and sustain trust with society stakeholders. Key Responsibilities - Own end-to-end product development for selected high-impact AI problem spaces within Risk Prevention & Response (RPR) business under Trust and Safety, such as proactive risk discovery, signal investigation, risk assessment, response and containment, or prevention. - Develop a deep understanding of complex risk governance workflows, identify high-value opportunities for AI, and independently translate ambiguous business problems into clear product solutions and execution plans. - Design AI-native workflows and Human + AI collaboration models, defining where AI can operate autonomously, where human expertise and judgment are required, and how agents, experts, tools, and systems should work together effectively. - Drive AI products from problem discovery and 0→1 experimentation through production launch, adoption, and iteration, partnering closely with Operations, Engineering, ML/Data Science, Policy, QA, and other product teams. - Design scalable AI product capabilities, including agent workflows, tool and data integration, context management, human-in-the-loop mechanisms, and intelligent decision support, rather than solving individual use cases through one-off solutions. - Define success metrics and evaluation frameworks for owned AI capabilities, assessing quality, reliability, efficiency, adoption, and business impact, and use real-world results to drive continuous improvement. - Ensure AI solutions are appropriate for high-risk and sensitive environments, with appropriate consideration for explainability, evidence traceability, auditability, human oversight, and clearly defined risk boundaries. - Contribute to the broader RPR AI roadmap by bringing insights from owned problem spaces, identifying reusable capabilities, and exploring emerging AI opportunities. Qualifications Minimum Qualifications - Bachelor's degree or above, with 3+ years of product management experience. Experience with platform, workflow, or technically complex products is preferred. - Hands-on experience with LLMs, AI Agents, intelligent automation, or AI-powered products, with demonstrated ability to translate AI capabilities into real-world product solutions. - Demonstrated ability to independently own a complex product or problem space end to end, from problem definition and solution design through execution, launch, measurement, and iteration. - Strong ability to understand and decompose complex workflows, identify high-leverage problems, and turn ambiguity into structured product decisions. - Strong product judgment and analytical thinking, with the ability to balance AI capabilities, user needs, operational requirements, business impact, and risk. - Proven ability to collaborate effectively with Engineering, ML/Data Science, Operations, and other cross-functional stakeholders and drive complex initiatives without relying on formal authority. - High learning agility, curiosity, and self-motivation. Comfortable operating in ambiguous, fast-changing environments and continuously learning as AI technologies evolve. Preferred Qualifications: - Experience in Trust & Safety, content safety, risk governance, fraud/abuse prevention, cybersecurity, integrity, or other complex risk domains. - Experience taking an AI product, Agent, workflow automation capability, or intelligent operations tool from 0→1 into production. - Experience designing Human-in-the-Loop systems, AI evaluation frameworks, or AI products where reliability and auditability are critical. - Technical fluency with concepts such as LLMs, Agents, tool use, RAG/context retrieval, model evaluation, and AI workflow orchestration; engineering or ML background is a plus. - Strong data sense and experience using metrics, experimentation, and evaluation results to drive product decisions.