Mixed-Methods Senior UX Researcher, Ads Privacy and Safety Job at Google Inc. in

Mixed-Methods Senior UX Researcher, Ads Privacy and Safety

Location: Google New York, NY, USA; Seattle, WA, USA

Overview

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. Were made up of multiple teams, building Googles Advertising products including search, display, shopping, travel and video advertising, as well as analytics. We also enable Google to engage with customers at scale.

At Google, we follow a simple but vital premise: "Focus on the user and all else will follow." User Experience Researchers (UXRs) make this possible. The UXR community at Google offers opportunities to learn from UXRs across Google through regular meetups, mentor programs, and access to internal research tools.

Responsibilities

• Lead a research program to generate user insights by developing research road maps, allocating resources, and maintaining alignment with long-term objectives.
• Partner with Program Managers and Policy to understand themes across upcoming regulations, and collaborate with UX colleagues across Ads to identify knowledge gaps of user needs and perceptions for consumers, advertisers, and publishers.
• Conduct and analyze research to understand user needs, behaviors, and goals through a mixed-methods approach. Design and execute both qualitative studies (interviews, ethnography, usability studies), large-scale quantitative surveys, and behavioral analysis of user logs to provide a comprehensive view.
• Help elevate stakeholder awareness of the user experience by building empathy and bringing the user to life through compelling research findings and implications.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 6 years of experience in product research in an applied research setting, or similar.
• Experience with qualitative research methods (e.g., interviews, ethnography, usability studies).
• Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).

Preferred qualifications

• Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
• Experience with quantitative methods and data analysis, including statistical analysis, modeling, and behavioral (logs) analysis.
• Experience using SQL or other data querying languages to analyze datasets and behavioral logs.
• Experience applying a variety of research methodologies (e.g., interviews, focus groups, field and lab studies, diary studies, and surveys) and an understanding of their strengths/limitations.
• Experience working in user trust, areas with high sensitivity or regulation, or an understanding of the regulatory landscape.

Salary and benefits

The US base salary range for this full-time position is $151,000-$222,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location; final pay is influenced by location, skills, experience, and training. Details shared with the recruiter for preferred locations; compensation may include additional components.

Please note that compensation details listed reflect the base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google.

EEO and employment policy

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce representative of the users we serve, creating a culture of belonging, and providing equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. See Googles EEO Policy and related resources.