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WhatsApp Integrity & Support keeps 3 billion people safe on a private, end-to-end encrypted platform. We detect and enforce against harmful actors, ensure global regulatory compliance, and deliver effective support experiences. This work is crucial to WhatsApp's license to operate as a core utility for billions of people. We're hiring an AI-native, mixed-methods Senior UXR to drive research horizontally across Integrity, Support, and their intersecting domains. You'll go deep on complex problems and leverage AI to scale insights across the organization.
Responsibilities
- Identify the most important research questions across Integrity & Support's complex, fast-moving domain
- Design and execute global mixed-methods studies (quantitative + qualitative), interpreted through UX, HCI, and social science lenses
- Define research strategy for emerging harm vectors (scams, impersonation, business abuse) and evaluate product interventions
- Partner with DS, Product, Engineering, Design, Communications and Policy to identify opportunities to build the safest, most secure, and most supported experiences for users
- Develop measurement frameworks that assess user safety outcomes at platform scale
- Build cross-Meta relationships within Community Integrity & Support and Family of Apps Integrity teams
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Minimum Qualifications
- Experience using AI daily in research workflows, delegating to AI agents, and producing deliverables efficiently
- Experience scaling insights through automation and system design, operationalizing findings to drive decision-making at scale
- Experience crafting narratives that drive decision-making across teams and shape product strategy
- Track record of influencing product strategy in complex, ambiguous, and fast-changing domains
- Experience designing and executing quantitative studies with strong Data Science partnership
- Experience leading international and cross-cultural research
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Preferred Qualifications
- Experience with integrity research in developing countries
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience in regulated or trust & safety domains
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Background in UX, HCI, or social science research methodologies
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