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About the Role

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

Requirements

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
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

Skills

AI
Mixed-methods research
Quantitative research
Qualitative research
UX research
HCI
Social science
Data Science partnership
International research
Cross-cultural research
Integrity research
Prompt engineering
Context engineering
Agent orchestration
Responsible AI practices
Ethical AI practices
Risk assessment
Bias mitigation
Quality and accuracy reviews

Experience Level

Senior