Staff UX Quantitative Researcher, Agentic AI Ad Sales

Google LLC

Mountain View (CA)

Presencial

USD 188 000 - 274 000

Tempo integral

Há 2 dias
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Resumo da oferta

Google LLC in Mountain View, CA is seeking a Staff UX Quantitative Researcher for Agentic AI Ad Sales. You will join a multi-disciplinary UX team to uncover user needs, design primary research, and influence product development at scale.

You will apply statistical methods to understand behaviors, collaborate with PMs/engineers/designers, and translate findings into shipped product impact, including impact on revenue and seller effectiveness.

Qualificações

  • Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
  • 8 years of experience in an applied research setting.
  • Experience with data manipulation and computational statistics languages (Python, R, MATLAB, Java, or Go).
  • Experience with evaluating agentic AI and multi-agent architectures.

Responsabilidades

  • Apply statistical methods to analyze large-scale log data, survey data, and behavioral data.
  • Partner with product managers, engineers, and designers to identify research opportunities and define success metrics.
  • Translate complex findings into actionable insights for cross-functional stakeholders.
  • Collaborate with qualitative UXRs, data scientists, and analysts to triangulate findings.
  • Design and analyze evaluation systems for agent routing quality and bias mitigation.

Conhecimentos

Statistical methods
Experimental design
Data analysis
Cross-functional collaboration
Python
R
MATLAB
Java
Go

Formação académica

Bachelor's degree in HCI/CS/Stats/Psychology

Ferramentas

Python
R
MATLAB
Java
Go

Descrição da oferta de emprego

Staff UX Quantitative Researcher, Agentic AI Ad Sales

Share Staff UX Quantitative Researcher, Agentic AI Ad Sales

corporate_fare Google place Mountain View, CA, USA

  • 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.

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
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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an 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 (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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