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Bridge user needs and business priorities for an Agentic AI ad platform by translating technical problems into research questions, designing experiments, and advising director and VP-level stakeholders. Requires eight years in applied product research, five years in statistics and experimental design, and advanced expertise in multi-variable experimental methods, linear mixed-effects modeling, and psychometric scaling in R or Python. Bachelor's degree required; master's or PhD in HCI, cognitive science, or related fields preferred.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Act as the bridge between user needs and business reality by identifying and clarifying leadership trade-offs to ensure product decisions are both user-centered and commercially viable.
  • Transform technical or ambiguous AI issues into actionable research questions and design recommendations.
  • Drive AI evaluation for Agentic AI systems.
  • Push the boundaries of what the team is currently considering for Agentic AI by advising Director-level and VP-level stakeholders and clarifying the highest-priority problems to solve.
  • Design and execute research to continuously ensure that complex technical solutions solve real-world human problems.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in product research in an applied research setting,.
  • 5 years of experience in statistics, survey research, and the principles of experimental design.

Preferred qualifications:

  • Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related fields.
  • 7 years of experience managing projects, and working in a large organization.
  • Expertise in multi-variable experimental methods, including factorial designs, within-subjects/repeated measures, and counterbalancing strategies (e.g., controlling for order and framing effects across multi-agent turns).
  • Advanced proficiency in linear mixed-effects models (LMMs/GLMMs) in R or Python, as well as psychometric and comparative scaling methods (e.g., IRT, Bradley-Terry, and Thurstonian modeling) for task-difficulty and rater-bias calibration.
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in product research in an applied research setting,.
  • 5 years of experience in statistics, survey research, and the principles of experimental design.
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  • Role Staff UX Researcher, Agentic AI, Ad Sales and Marketing Platform
  • Experience 8-9 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview
Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
2 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
8-9 years

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