UX Researcher, Mixed Methods
MetaJobsCloseBy Editorial Insights
Meta is seeking an AI-native, mixed-methods Senior UX Researcher to drive research across WhatsApp Integrity and Support onsite in London. You’ll design global quantitative and qualitative studies, shape strategy for harm vectors such as scams and impersonation, and partner with Data Science, Product, Engineering, Design, Communications and Policy to scale safe experiences and measure safety outcomes at platform scale. Key qualifications include daily use of AI in research workflows, automation to operationalize findings, cross-cultural international research, and experience in trust and safety or regulated domains, plus ethical AI practice. To apply, highlight AI-enabled research with measurable impact, diverse user populations, and clear narratives linking problem, methods, outcomes, and value; include concrete examples and be ready to discuss tackling integrity challenges in developing countries and collaborating with stakeholders to implement scalable solutions.
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
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 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