UX Researcher, Mixed Methods

Position Overview

Meta is seeking a UX Researcher specializing in mixed-methods research to lead strategic initiatives across key product domains. This role involves directing large, cross-functional research programs that unite qualitative and quantitative methodologies to reveal large-scale user behaviors, attitudes, and motivations. The researcher will influence product development by converting intricate research data into concise, actionable insights used by product, design, engineering, and policy teams. Operating as an organization-wide authority, the researcher will set research priorities and elevate the discipline of UX research.

Key Responsibilities

• Develop and execute research strategies and roadmaps for complex, interdisciplinary product areas, translating vague business challenges into structured study frameworks.
• Lead multifaceted mixed-methods studies integrating qualitative techniques such as user interviews, ethnographic fieldwork, and usability tests alongside quantitative methods including surveys, behavior data scrutiny, and statistical modeling.
• Create unbiased, comprehensive data collection methods leveraging diverse data sources to yield results that represent varied global user groups accurately.
• Combine and interpret qualitative and quantitative data to generate profound insights and engaging stories that guide product strategy and decisions at the corporate level.
• Design data visualizations and research frameworks that clearly present complex research outcomes tailored for diverse audiences including executives and product leadership.
• Work in close partnership with product teams, design, data science, engineering, and policy groups to incorporate research findings into product planning and prioritization.
• Provide mentorship and guidance on research design, qualitative coding schemes, and quantitative analytical methods to elevate research standards across the company.
• Identify potential methodological and project risks, ensuring the timely and high-quality delivery of research initiatives.
• Utilize AI technologies to revamp research workflows, hasten data synthesis and analysis, and amplify the scope and impact of insights.
• Establish and nurture relationships across teams, becoming a sought-after authority on research strategy and methodology.

Required Qualifications

• Bachelor's degree with over 13 years, Master's with 11+ years, or PhD with 8+ years of relevant experience in UX, applied, or product research.
• Proven expertise conducting mixed-methods UX research including qualitative methods (interviews, ethnography, usability testing) and quantitative research (surveys, behavioral analytics, statistical techniques).
• Experienced in independently managing large, ambiguous projects that cross multiple functions, from conception to delivery and stakeholder management.
• Skilled in designing analytical frameworks plus applying advanced qualitative coding and quantitative statistics for extracting meaningful insights.
• Adept at transforming complex research findings into straightforward narratives and compelling visuals that align with product strategy and executive expectations.
• Experienced partnering with product management, design, data science, and engineering teams to embed research into product decisions.
• Background researching in areas such as Integrity, Security, Support, and Global or developing country contexts.

Preferred Qualifications

• Familiarity with ethical AI practices, including risk assessment, bias reduction, and quality control.
• Experience managing international or culturally diverse research initiatives that consider global user dynamics.
• Integration of AI tools in research to speed analysis, automate synthesis, or enhance insight scale with measurable outcomes.
• Capability in emerging quantitative methodologies like conjoint analysis, MaxDiff, and large-scale behavioral modeling to support qualitative research.
• Commitment to ongoing AI skill enhancement, including prompt engineering and agent orchestration, with current knowledge of AI technologies.
• Proven track record establishing research measurement standards that elevate organization-wide research quality.
• Demonstrated benefits from AI-driven workflow redesigns yielding efficiency and quality improvements.

About Meta

Meta develops technologies that connect people, foster communities, and support business growth. From Facebook’s launch in 2004 transforming social connection to innovations like Messenger, Instagram, and WhatsApp empowering billions, Meta now pioneers immersive experiences beyond traditional screens, including augmented and virtual reality, shaping the future of social technology.

Compensation and Benefits

Compensation varies based on skills, credentials, experience, and location. Base pay figures stated exclude bonuses, equity, and commission components. Comprehensive benefits accompany the salary package at Meta.