Staff UX Researcher - Mixed Methods
LinkedIn - Mountain View, California, us, 94039
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Overview
Apply fast, check the full description by scrolling below to find out the full requirements for this role. LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description This role will be based in either Mountain View, San Francisco, or New York. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn’s vision is to create economic opportunity for every member of the global workforce. Our global User Experience Research (UXR) team uncovers actionable insights to inspire the design of inclusive, high-quality products. We are committed to creating an equal, accessible, and engaging platform that supports professionals worldwide in staying connected, informed, and productive. Beyond job hunting, LinkedIn fosters active communities and enterprise solutions in sales, marketing, learning, and recruiting. Using diverse research methods throughout the product lifecycle, we balance rigorous analysis with experimentation to align user insights, design patterns, and business goals. Why join the User Experience Research team at LinkedIn? We are impact-driven. We are strong partners to Design and Product, influencing at every level, from shaping early strategy to launching new features, to measuring usability. We are growth oriented. We’re an eclectic and experienced team--some of the best in the industry! We love to learn with and from each other as we strive to be our best and grow in our careers. We are mixed methods. We value and encourage a mixed-method approach to addressing the most important and most human questions facing our teams. We are supported. We have a dedicated operations team to cover scheduling, vendor onboarding, and more. We are inclusive. We insist on centering trust, ethics, justice, and equity in every aspect of our work. We’re looking for a Researcher to join our team of critical thinkers and curious minds, to work with us in partnership and collaboration with product design, content design, product management, engineering, marketing, market research, and data science. Building products for the world's workforce takes a bold, diverse, empowered team — come be a part of ours. Qualifications Basic Qualifications 7+ years of experience in user or design research at a high growth technology company. Expertise utilizing a variety of qualitative research methodologies (e.g. interviews, focus groups, co-design sessions, concept testing) to address product challenges spanning from opportunity identification, concept testing, to feature iterations. Expertise utilizing a variety of quantitative research methodologies (e.g. surveys, experiments, statistical analysis) and tools (e.g., SQL, R, Qualtrics) to address product challenges spanning from opportunity identification, user-centered investigations, to feature iterations. A proven track record of gaining buy-in from executive stakeholders and cross-disciplinary partners, transcending mere research mechanics and findings to articulate a larger user story, and the “so what” to drive impact. Ability to independently create and execute research roadmaps for large-scale, complex projects with high levels of ambiguity or complexity. Preferred Qualifications Consistent experience of amplifying and maturing UX practices through advocacy and thought leadership across an organization, industry, or academic discipline. Deep understanding of common and emerging research methods, with the ability to create multi-method research plans backed by solid rationale. Degree in Behavioral Science, Psychology, Cognitive Science, Human Factors, Anthropology, Human-Computer Interaction, Design, a related field – or equivalent experience. Suggested Skills: Technical Knowledge of UX Research methods and practices Strong product and business acumen Strong visual, verbal, and written communication LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $146,000 to $238,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. Additional Information Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. A request for an accommodation will be responded to within three business days. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions. Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants.
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