Staff UX Researcher for Agentic AI: AI-Driven Ads Impact

Google

Mountain View (CA)

On-site

USD 188,000 - 274,000

Full time

9 days ago
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Job summary

Google is seeking a Senior Product Researcher to lead and scale human-centered studies for Ads and AI-driven platforms from Mountain View. You will work with cross-functional teams across Sales, Marketing, and AI research, shaping research questions and translating insights into impactful product decisions.

The role emphasizes advanced statistical methods, large-scale experiments, and collaboration with Google Research and DeepMind to advance AI-enabled advertising technology at scale.

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.

Responsibilities

  • 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.

Skills

Product research
Statistics
Survey research
Experimental design
Project management

Education

Bachelor's degree or equivalent practical experience
Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related fields

Tools

R
Python

Job description

Google is seeking a Senior Product Researcher to lead and scale human-centered studies for Ads and AI-driven platforms from Mountain View. You will work with cross-functional teams across Sales, Marketing, and AI research, shaping research questions and translating insights into impactful product decisions.

The role emphasizes advanced statistical methods, large-scale experiments, and collaboration with Google Research and DeepMind to advance AI-enabled advertising technology at scale.

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