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Google is looking to assess AI Mode response quality by collecting and analyzing quantitative and qualitative data, managing vendors, and developing insights for leadership and product teams to improve the user experience of Google Search.

Requirements

• Experience in survey design and analysis (e.g., sampling, weighting surveys answers, writing questionnaires, pre-testing question wording, or longitudinal survey research program).
• Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
• Experience with experimental design, scale development and validation, and unmoderated studies.
• Experience using LLMs to code qualitative data.

Responsibilities

• Conduct independent research on multiple aspects of products and experiences.
• Collect and analyze user behavior through surveys using a variety of techniques such as questionnaire design, psychometrics, sampling techniques, mitigating non-response bias, data weighting and imputation techniques, user segmentation, longitudinal research, etc.
• Incorporate technical and business requirements into research.
• Combine survey research with other data sources or research methods in partnership with cross-functional researchers (e.g., qualitative and quantitative research methods) and communicate findings through written reports and in-person presentations.
• Lead a global research program to assess AI Mode response quality.
• Collect and analyze quantitative and qualitative data.
• Develop insights for leadership and product teams.

Other

• Work with Designers, Product Managers, Engineers and other UXRs to prioritize research opportunities in a fast-paced, rapidly changing environment.
• 6 years of experience in product research in an applied research setting, or similar.
• 5 years of experience conducting UX research on products and working with executive leadership (e.g., Director level and above).
• 3 years of experience managing projects, and working in a large, matrixed organization.
• Ability to communicate user research findings with cross-functional partners to drive impact.