Toby Ozkan Trust & Safety Professional

Co-founded a niche job board focused on roles in Trust & Safety, combining industry expertise with technical tools to support the community and streamline access to career opportunities.

• Designed, built, and scaled the platform using no-code and low-code tools, integrating AI-assisted development (e.g., Chatgpt, GitHub Copilot) to enhance operational efficiency, scalability, and responsiveness to user needs.
• Developed and maintained custom automation scripts for job aggregation, XML feed parsing, and site operations, streamlining content intake and improving real-time accuracy of job listings.
• Utilised SQL and data analysis techniques to track platform engagement, analyse job market trends, and generate actionable insights for continuous product and user experience improvements.
• Leveraged AI technologies for content generation, code support, and workflow optimisation, demonstrating a proactive approach to integrating emerging tools into operational processes.
• Grew and maintained a paying subscriber base of 370+ by consistently curating high-quality Trust & Safety opportunities, strengthening community engagement, and delivering measurable user value.
• Created data-informed insights reports on Trust & Safety hiring trends to inform strategic content planning and community growth initiatives.

• Co-developed a working model policy for detecting scripted and inauthentic activity on WhatsApp, ensuring successful implementation and transition to outsourcing teams for scalable enforcement.
• Co-developed a working model policy for detecting scripted and inauthentic activity on WhatsApp, ensuring successful implementation and transition to outsourcing teams for scalable enforcement.
• Provided critical insights to engineering, product, and policy teams on abuse patterns and behavioural indicators, directly shaping detection strategies and policy enforcement workflows.
• Conducted in-depth account investigations, identifying abuse trends and refining detection methodologies to strengthen operational enforcement systems.
• Trained and mentored new team members, establishing consistency in scripted account assessments and supporting knowledge transfer for long-term policy execution.
• Delivered live shadowing sessions to Trust & Safety Directors and senior management, demonstrating real-time enforcement processes and influencing leadership understanding of policy needs.

• Specialized in managing high-priority legal and policy escalations, particularly during election cycles, ensuring timely, compliant responses and collaborating with internal teams, law enforcement, and regulatory bodies.
• Provided detailed case insights and strategic recommendations to directors and managers, refining enforcement approaches and contributing to improvements in policy implementation and stakeholder communications.
• Leveraged SQL and data analysis to track enforcement effectiveness, monitor case trends, and identify emerging policy gaps, driving data-informed decision-making.
• Contributed to Twitter’s Transparency Report by leading case labelling and data categorization efforts, ensuring accuracy in public reporting of enforcement actions.
• Maintained professional communication with external stakeholders, ensuring transparent, compliant handling of sensitive cases involving legal content removal, information requests, and copyright infringements.

• Led a high-performing team of content analysts moderating Facebook and Instagram, managing sensitive Trust & Safety issues such as safety threats, hate speech, LERT (Law Enforcement Response Team) escalations, and authenticity verification.
• Collaborated closely with policy teams to align enforcement actions with evolving Community Standards, providing feedback loops to refine platform guidelines based on operational insights.
• Conducted deep-dive data analyses using SQL to identify abuse trends, policy gaps, and system issues, delivering actionable insights to drive enforcement improvements and workflow optimization.
• Oversaw enforcement operations for the MENAT market, managing 60,000–90,000 cases weekly while maintaining a 98% accuracy rate, ensuring policy compliance across diverse regional contexts.
• Played a key role in adapting services and policies to evolving risk factors during critical periods such as election cycles, proactively addressing emerging threats through operational adjustments and stakeholder collaboration.