Google is looking to identify and prioritize high-impact research opportunities that strategically align with product, design, and business objectives for ML Systems and Cloud AI (MSCA) products and solutions. The goal is to understand user needs, behaviors, and motivations to inspire and inform design, create industry-leading products, and drive product improvements.
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 leveraging advanced research methods (e.g., psychometrics, sampling, segmentation, performance analysis) to successfully drive product improvements.
- Experience in front-end development, technical UX design, or prototyping with the knowledge of AI/ML research/development.
- Ability to work on novel and technical solutions in a fast-changing space.
- Knowledge of AI/ML research/development.
Responsibilities
- Identify and prioritize high-impact research opportunities that strategically align with product, design, and business objectives, defining roadmaps for ML Systems and Cloud AI (MSCA) products and solutions.
- Scope and execute research using a wide variety of advanced techniques, including questionnaire design, psychometrics, sampling, and data weighting.
- Connect behavioral and survey data to extract meaningful patterns from large datasets and generate insights, reports, and presentations that inspire user-centricity, deliver business intelligence to cross-functional partners, and inform product decisions at scale.
- Integrate complex technical and business expertise into your research, and leveraging user data to effectively navigate ambiguity.
- Explore user behaviors and motivations by conducting primary research such as field studies, interviews, diary studies, participatory workshops, ethnography, surveys, usability testing, and logs analysis.
Other
- Bachelor's degree or equivalent practical experience.
- 4 years of experience in product research in an applied research setting, or similar.
- Build strong partnerships across the organization.
- Experience collaborating with multidisciplinary teams of Designers, Engineers, and Product Managers throughout the product development process.
- Passionate for Generative AI systems and the developers who build them.
