Google

Quantitative UX Researcher, Agentic AI, Sales Platform

Google$132K — $189K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 3 years of product research experience in applied settings.
  • Proficient in programming languages for data manipulation (e.g., Python, R, MATLAB).
  • Expertise in statistical methods and experimental design for analyzing behavioral data.

Responsibilities

  • Define and conduct quantitative research to assess user behavior on consumer engagement platforms.
  • Use statistical methods to analyze large and varied data sets.
  • Collaborate with product teams to identify research opportunities and metrics.
  • Design and interpret A/B tests to evaluate product changes.
  • Communicate complex data insights to stakeholders across various functions.

Benefits

  • 15% bonus target
  • Equity options
  • Comprehensive health benefits
  • Career development opportunities
  • Flexible work arrangements
Full Job Description
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 3 years of experience in product research 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 applying statistical methods, experimental design, instrument and rubric design, advanced statistical modeling, and mixed rater systems to behavioral data.

Preferred qualifications:
  • Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
  • 3 years of experience working with executive leadership (e.g., Director level and above).
  • 2 years of experience conducting UX research on products, managing projects, and working in a large, matrixed organization.
  • Experience analyzing user behavior in B2B contexts, enterprise software, or CRM platforms, and evaluating agentic AI workflows and architectures.
  • Experience with linear mixed-effects modeling, Item Response Theory, quasi-experimental methods, A/B testing frameworks, or causal inference concepts.
  • Ability to construct psychometrically sound rubrics, evaluation instruments, and rating scales.


Responsibilities
  • Define, plan, and conduct quantitative research to evaluate user behavior on CE platforms.
  • 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.
  • Design, analyze, and interpret A/B experiments to measure the impact of product changes on user behavior and key metrics.
  • Translate complex findings into actionable insights and communicate them effectively to cross-functional stakeholders at various levels.


US: $132000 - $189000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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