UX Researcher, Mixed Methods

About the Role

Meta is recruiting a seasoned UX Researcher with advanced mixed-methods skills to lead strategic research initiatives within a major product segment. This position involves steering substantial research projects that combine qualitative and quantitative methodologies to deeply understand user behaviors, attitudes, and motivations at scale. The chosen candidate will directly influence product strategies by distilling complex findings into clear, actionable guidance for product, design, engineering, and policy teams. As a recognized expert, you will set research priorities and uplift UX research practices company-wide.

Key Responsibilities

• Establish and manage the research roadmap for extensive, cross-departmental product areas, focusing on highest-impact research questions and constructing rigorous study designs from broad business challenges.
• Lead multifaceted mixed-methods studies blending qualitative techniques (e.g., interviews, ethnographic research, usability testing) with quantitative designs (surveys, behavioral data analysis, statistical modeling).
• Create comprehensive data collection approaches that minimize bias, incorporate diverse data sources, and provide findings representative of global users.
• Integrate qualitative and quantitative data to produce profound insights and compelling storytelling that guide product decisions and long-range strategic direction.
• Generate and present data visualizations and research frameworks that simplify complex findings into understandable, actionable formats tailored for varied audiences including senior executives.
• Collaborate closely with product management, design, data science, engineering, and policy groups to embed research insights into product development and prioritization.
• Mentor and advise colleagues on research methodology, analytical frameworks, qualitative coding, and statistical approaches to enhance research effectiveness across teams.
• Anticipate and manage risks related to research methods, project coordination, and stakeholder engagement to ensure timely, quality research delivery.
• Utilize AI technologies to innovate research processes, accelerate analysis and synthesis, and expand insight generation organization-wide.
• Maintain strong partnerships across functions, acting as a trusted authority on research strategy and methodology.

Minimum Qualifications

• Bachelor's degree with a minimum of 13 years in UX, applied research, or product R&D; or Master's degree with at least 11 years' relevant experience; or PhD with 8+ years.
• Proven expertise in executing mixed-methods UX research, combining qualitative methods (interviews, ethnography, usability evaluations) with quantitative techniques (surveys, behavioral analytics, statistics).
• Demonstrated ability to independently lead large, complex, cross-functional research projects from conception through insight dissemination and influencing stakeholders.
• Experience designing analytical frameworks and applying advanced qualitative coding and statistical methods to generate in-depth insights from complex data.
• Skilled at translating research outcomes into compelling narratives and visualizations for product strategy impact, including communication with executive leadership.
• Collaborative experience influencing product, design, data science, and engineering teams to incorporate research findings into decision-making.
• Research experience in areas such as Integrity, Security, Support, or within Global and Developing country contexts.

Preferred Qualifications

• Familiarity with responsible and ethical AI practices including risk assessments, bias reduction, and quality review processes.
• Experience managing global, cross-cultural research projects accounting for diverse user environments and international products.
• Proven use of AI tools in research to enhance synthesis, automate analysis, or scale insights, demonstrating tangible improvements in quality or efficiency.
• Knowledge of advanced quantitative methodologies like conjoint analysis, MaxDiff, or large-scale behavioral data modeling as complements to qualitative research.
• Commitment to ongoing AI skill development, including prompt engineering and agent orchestration, staying abreast of emerging technologies.
• Experience establishing organizational research measurement standards that elevate research quality at scale.
• Demonstrated ability to integrate AI tools to optimize workflows, yielding measurable efficiency or quality gains.

About Meta

Meta creates technologies that connect people, foster communities, and enable business growth. Starting from its 2004 launch of Facebook, it has transformed digital connection with apps like Messenger, Instagram, and WhatsApp. Currently, Meta is pioneering immersive social experiences through augmented and virtual reality to redefine digital interaction beyond screens, distance, and physical rules. Team members contribute toward shaping a future of expansive social technology possibilities.