Assist with analytics, data collection, and dashboard reporting for customer-facing e-commerce platforms, A/B testing, search tuning, and collaborate with conversational and UX designers on chatbot and voice bot enhancements.
Responsibilities
Assist with analytics, data collection, and dashboard reporting for customer-facing e-commerce platforms
Assist with designing, executing, measuring, and monitoring A/B testing initiatives
Assist with search tuning, testing, and dataset analysis to improve customer discovery and platform functionality
Collaborate with full stack conversational designers and UX designers on chatbot and voice bot experience enhancements
Assist Product Owners with product strategy, roadmap planning
Lead the end-to-end development, implementation, and life‑cycle governance of global policies targeting scaled adversarial abuse, generative AI exploitation, coordinated spam networks, and inorganic platform manipulation.
Analyze malicious actor strategies, incentives, and evasion techniques to develop policy architectures that mitigate widespread abuse.
Partner directly with Engineering, Data Science, and Product Management to translate nuanced policy principles into machine‑enforceable heuristics and automated enforcement workflows.
Serve as the subject matter expert on adversarial abuse, briefing cross‑functional executives, Legal counsel, Public Policy, and others on emerging threat vectors, high‑profile investigations, and long‑term ecosystem defense.
Design and maintain clear enforcement guidelines and operational workflows for global review teams, balancing safety and creator needs.
Requirements
Bachelor's degree or equivalent practical experience
Nice to have: experience developing anti‑abuse, platform integrity, cybersecurity, or fraud policies targeting coordinated bad actors, spam networks, or scaled platform manipulation
Nice to have: experience conducting adversarial threat modeling, red‑team, or reverse engineering bad‑actor business models
Nice to have: experience working with engineering and analytics teams to co‑develop automated detection pipelines or signal heuristics
Nice to have: experience analyzing datasets to ground policy recommendations in empirical evidence
