Product Operations Expertise
Eight core competencies at the intersection of creator ecosystems, trust & safety, and platform integrity
Trust & Safety Operations
Leading content policy enforcement, platform integrity initiatives, and quality assurance programs for platforms serving billions of users.
Example: Designed ecosystem health metrics (prevalence, sentiment) for 3B+ user base, proactively identifying optimization opportunities aligned with Trust & Safety goals.
Content Operations Strategy
Developing scalable content testing frameworks, standardizing campaign experimentation processes, and optimizing end-to-end production workflows.
Example: Designed systematic content testing frameworks (hypothesis, variants, metrics) that standardized how campaigns were scaled across three major brand accounts.
Data-Driven Insights & Analytics
Conducting strategic content analysis, user sentiment evaluation, A/B Testing, and performance metrics tracking to drive continuous improvements.
Example: Drove weekly strategic content analysis for cross-functional leadership, using data-backed feedback loops to optimize content experiences.
Policy Enforcement & Platform Integrity
Translating policy requirements into operational enforcement guidelines, ensuring content quality standards, and maintaining platform integrity at scale.
Example: Translating complex content risks including AI-generated media into actionable product narratives and enforcement guidelines for global platforms.
GenAI Content Evaluation
Assessing AI-generated media risks, developing evaluation frameworks for generative AI content, and staying ahead of emerging moderation challenges.
Example: Acting as a strategic partner translating AI-generated media and sensitive enforcement edges into actionable product improvements.
Creator Ecosystem Management
Building and scaling creator operations programs, managing influencers partnerships, and developing systematic frameworks for creator engagement.
Example: Managed end-to-end influencer partnerships achieving 800% engagement growth through data-driven creator selection and campaign optimization.
Cross-Functional Leadership
Serving as strategic thought partner to Engineering, Policy, Product, Marketing, and Data teams, bridging operational realities with technical roadmaps.
Example: Collaborated with cross-functional leadership at Meta to transform raw ecosystem data into high-impact insights shaping platform quality decisions.
Systematic Process optimization
Designing streamlined workflows, implementing quality assurance protocols, and building repeatable frameworks that enable teams to scale efficiently.
Example: Enhanced service quality for Uber’s social media response team by designing streamlined support processes for incubation programs.
Technical Skills & Tools
Proficient in industry-standard platforms and emerging technologies
Personal Certifications
Continuous learning and professional development
Meta Social Media Marketing Professional
2021
Google AI Essentials
2024
Google Data Analytics Professional
Enrolled, 2025