Platform Product Lead - Trust and Safety

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.

Responsibilities:

• Define and drive the product strategy for large-scale Trust & Safety and risk response platforms, balancing operational efficiency, policy enforcement quality, regulatory requirements, and reputational risk management.
• Identify high-impact gaps across the end-to-end risk lifecycle — including detection, triage, escalation, enforcement, investigation, and reporting — and translate ambiguous, rapidly evolving risks into scalable product solutions.
• Lead the development of AI-native and LLM-powered systems that improve reviewer productivity, decision consistency, risk intelligence generation, and automation coverage across global operations workflows.
• Drive end-to-end product execution across multiple workstreams, including problem definition, prioritization, technical design alignment, experimentation, launch strategy, metrics design, and post-launch optimization.
• Partner closely with Engineering, Data Science, Operations, Policy, Legal, Public Relations, Government Relations, and regional teams to align on product priorities and deliver globally compliant, operationally scalable solutions.
• Build systems and frameworks that reduce extreme, reputational, and compliance risks through proactive prevention, intelligent containment, and scalable operational response mechanisms.
• Define product success metrics and operational health indicators, establish monitoring and evaluation frameworks, and continuously improve system quality, automation effectiveness, and response efficiency.
• Stay at the forefront of emerging AI and risk-management technologies, including agentic workflows, retrieval systems, evaluation frameworks, human-in-the-loop architectures, and operational copilots, translating innovation into production-ready capabilities.
• Lead and mentor product managers while influencing cross-functional teams in a fast-moving, high-stakes environment.

Minimum Qualifications:

• 5 years of product management experience, including significant experience leading complex platform or infrastructure products from strategy through execution.
• Proven experience in Trust & Safety, Risk, Integrity, Security, Compliance, Abuse Prevention, or other high-risk platform governance domains.
• Demonstrated ability to lead ambiguous, cross-functional initiatives involving multiple stakeholders, operational dependencies, and technical systems.
• Strong systems-thinking capability, with experience designing end-to-end solutions that integrate automation, machine learning, operational workflows, decision systems, and human review processes.
• Excellent analytical and problem-solving skills, with the ability to structure complex risk problems into scalable product strategies, operational frameworks, and measurable business outcomes.
• Strong stakeholder management with proven ability to influence technical and non-technical partners across global organizations.
• Experience operating in fast-paced, high-severity environments involving escalations, crisis response, regulatory, or real-world harm scenarios.

Preferred Qualifications:

• Experience building large-scale risk intelligence platforms, moderation systems, enforcement tooling, investigation platforms, or operational workflow systems.
• Hands-on experience shipping LLM-powered or AI-agent products in production environments, including familiarity with prompt design, evaluation methodologies, retrieval systems, and human oversight models.
• Deep understanding of global online safety and regulatory landscapes, including areas such as illegal harms, youth safety, misinformation, violent extremism, platform manipulation, and compliance requirements (e.g., DSA, OSA).
• Experience working closely with global Trust & Safety operations teams and designing products for 24/7 operational environments.
• Background in machine learning, data science, AI systems, or automation-driven platform development.
• Experience managing or mentoring product managers and driving organizational product strategy.