Staff UX Quantitative Researcher, Agentic AI Ad Sales

Google; Mountain View (CA); Sur place; USD 188 000 - 274 000; Plein temps

Résumé du poste

Google is seeking a User Experience Researcher (UXR) to join our multi-disciplinary UX team, collaborating with Engineering and Product Management to gather insights and create industry-leading products.

You will lead primary research such as field studies, interviews, diary studies, ethnography, surveys, usability testing, and logs analysis, driving impact at all stages of product development and ensuring products are useful, usable, and helpful.

Qualifications

• Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, a related field, or equivalent practical experience.
• 8 years of experience in an applied research setting, or similar.
• Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
• Experience with agentic AI evaluation: evaluating multi-agent architectures, agentic workflows, orchestrators, or subagent routing systems.

Responsabilités

• Apply statistical methods (e.g., statistical inference, regression modeling, experimental design) to analyze large-scale log data, survey data, and other behavioral data.
• Partner with product managers, engineers, and designers to identify research opportunities, define user-centered success metrics, and ensure appropriate data instrumentation.
• Translate complex findings into actionable insights and communicate them effectively to cross-functional stakeholders at various levels. Ensure research doesn't just result in a report, but in a shipped product that moves the needle on revenue and seller effectiveness.
• Collaborate with qualitative UXRs, data scientists, and business analysts to triangulate findings and provide a holistic view of the user experience.
• Design and analyze human and synthetic evaluation systems, applying crossed rater/item statistical models and bradley-terry preference frameworks to calibrate agent routing quality and mitigate rater bias.

Connaissances

UX research

Applied research

Programming languages

Agentic AI evaluation

Project management

Formation

Bachelor's degree in HCI etc.

Description du poste

• Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, a related field, or equivalent practical experience.
• 8 years of experience in an applied research setting, or similar.
• Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
• Experience with agentic AI evaluation: evaluating multi-agent architectures, agentic workflows, orchestrators, or subagent routing systems.

Minimum qualifications

• Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, a related field, or equivalent practical experience.
• 8 years of experience in an applied research setting, or similar.
• Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
• Experience with agentic AI evaluation: evaluating multi-agent architectures, agentic workflows, orchestrators, or subagent routing systems.

Preferred qualifications

• 8 years of experience conducting UX research on products.
• 5 years of experience managing projects, and working in a large, matrixed organization.
• Experience developing evaluation rubrics for human raters and AI models.
• Experience with advanced statistical and psychometric modeling.
• Expertise in multivariate experimental design and methods for causal inference.

About The Job

At Google, we "Focus on the user and all else will follow." As a User Experience Researcher (UXR), you make this possible. You will join our multi-disciplinary UX team, collaborating with Engineering and Product Management, to gather insights and create industry-leading products.

You’ll play a critical role in helping your team understand user needs and will drive impact at all stages of product development, ensuring products are useful, usable, and helpful. You will explore user behaviors and motivations by conducting primary research, including: field studies, interviews, diary studies, ethnography, surveys, usability testing, and logs analysis. You will also grow within a supportive UXR community offering mentorship, regular meetups, and exclusive internal tools.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the‑art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $188000 - $274000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Apply statistical methods (e.g., statistical inference, regression modeling, experimental design) to analyze large-scale log data, survey data, and other behavioral data.
• Partner with product managers, engineers, and designers to identify research opportunities, define user-centered success metrics, and ensure appropriate data instrumentation.
• Translate complex findings into actionable insights and communicate them effectively to cross-functional stakeholders at various levels. Ensure research doesn't just result in a report, but in a shipped product that moves the needle on revenue and seller effectiveness.
• Collaborate with qualitative UXRs, data scientists, and business analysts to triangulate findings and provide a holistic view of the user experience.
• Design and analyze human and synthetic evaluation systems, applying crossed rater/item statistical models and bradley-terry preference frameworks to calibrate agent routing quality and mitigate rater bias.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .