Job Summary

UX Researcher — AI & Quantitative SpecialistGrade: G6 / G8 |  Contract  | Hybrid 3 days/week in office  |  Seattle or San Jose  |  UX Research TeamAI-Native ResearchQuantitative • MustBehavioural DataMixed MethodsForesight (WOW)About the RoleWe are looking for a curious, data-savvy UX Researcher to join our team as a contactor.  This is not a traditional research role — it sits at the intersection of AI-augmented research, advanced quantitative analysis, and cross-team capability building.You will help accelerate our journey toward an AI-Native research practice by bringing hard-won external experience in using AI tools within research workflows, and by embedding behavioural data fluency across the team. You will work alongside researchers, designers, and product managers — influencing how we work, not just what we deliver.What You'll DoAI-Augmented ResearchApply AI tools actively in day-to-day research workflows — synthesis, analysis, screener design, report generation, and moreLead and co-create internal initiatives that accelerate the team's AI adoption and maturityShare external best practices and bring fresh thinking to how AI can transform research at scaleAct as an internal champion for AI-native ways of working, coaching peers and running enablement sessionsQuantitative Research & StatisticsDesign, execute, and analyse quantitative studies including large-scale surveys, concept tests, and benchmark studies [MUST HAVE]Apply statistical methods confidently: significance testing, regression analysis, factor analysis, conjoint, MaxDiff, and more [MUST HAVE]Build clear, insight-led outputs from quantitative data that drive product and business decisions  [MUST HAVE]Partner with data and analytics teams to ensure research findings are grounded in robust methodologyBehavioural & Product Data AnalysisExtract, interpret, and storytell with behavioural data from platforms such as Power BI, Amplitude, Mixpanel, or similar  [MUST HAVE]Triangulate product usage data with primary research to surface richer, more actionable insights  [MUST HAVE]Identify patterns in user behaviour that inform hypothesis generation and research prioritisationCollaborate with engineers and researchers to ensure the team has access to the right data sources and behavioural signalsQualitative ResearchPlan and facilitate user interviews, usability studies, diary studies, and contextual enquiriesApply thematic analysis, affinity mapping, and Jobs-to-be-Done frameworksTranslate qualitative findings into compelling narratives for product, design, and leadership audiencesCross-Team AI AccelerationLead AI research initiatives end-to-end — from scoping to delivery — while actively partnering with fellow researchers throughout [MUST HAVE]Work alongside researchers across the team to co-develop AI-assisted processes, templates, and playbooks that embed into everyday ways of working [MUST HAVE]Collaborate with researchers on shared AI projects, bringing structure and momentum while creating space for others to upskill alongside youIdentify bottlenecks in research operations and propose scalable, AI-enabled solutions developed with the team, not just handed to themContribute to a culture of continuous learning, methodological rigour, and shared ownership of the team's AI maturity

Key Responsibilities

UX Researcher — AI & Quantitative Specialist

Grade: G6 / G8 |  Contract  | Hybrid 3 days/week in office  |  Seattle or San Jose  |  UX Research Team

About the Role

We are looking for a curious, data-savvy UX Researcher to join our team as a contactor.  This is not a traditional research role — it sits at the intersection of AI-augmented research, advanced quantitative analysis, and cross-team capability building.

You will help accelerate our journey toward an AI-Native research practice by bringing hard-won external experience in using AI tools within research workflows, and by embedding behavioural data fluency across the team. You will work alongside researchers, designers, and product managers — influencing how we work, not just what we deliver.

What You'll Do

AI-Augmented Research

• Apply AI tools actively in day-to-day research workflows — synthesis, analysis, screener design, report generation, and more
• Lead and co-create internal initiatives that accelerate the team's AI adoption and maturity
• Share external best practices and bring fresh thinking to how AI can transform research at scale
• Act as an internal champion for AI-native ways of working, coaching peers and running enablement sessions

Quantitative Research & Statistics

• Design, execute, and analyse quantitative studies including large-scale surveys, concept tests, and benchmark studies [MUST HAVE]
• Apply statistical methods confidently: significance testing, regression analysis, factor analysis, conjoint, MaxDiff, and more [MUST HAVE]
• Build clear, insight-led outputs from quantitative data that drive product and business decisions  [MUST HAVE]
• Partner with data and analytics teams to ensure research findings are grounded in robust methodology

Behavioural & Product Data Analysis

• Extract, interpret, and storytell with behavioural data from platforms such as Power BI, Amplitude, Mixpanel, or similar  [MUST HAVE]
• Triangulate product usage data with primary research to surface richer, more actionable insights  [MUST HAVE]
• Identify patterns in user behaviour that inform hypothesis generation and research prioritisation
• Collaborate with engineers and researchers to ensure the team has access to the right data sources and behavioural signals

Qualitative Research

• Plan and facilitate user interviews, usability studies, diary studies, and contextual enquiries
• Apply thematic analysis, affinity mapping, and Jobs-to-be-Done frameworks
• Translate qualitative findings into compelling narratives for product, design, and leadership audiences

Cross-Team AI Acceleration

• Lead AI research initiatives end-to-end — from scoping to delivery — while actively partnering with fellow researchers throughout [MUST HAVE]
• Work alongside researchers across the team to co-develop AI-assisted processes, templates, and playbooks that embed into everyday ways of working [MUST HAVE]
• Collaborate with researchers on shared AI projects, bringing structure and momentum while creating space for others to upskill alongside you
• Identify bottlenecks in research operations and propose scalable, AI-enabled solutions developed with the team, not just handed to them
• Contribute to a culture of continuous learning, methodological rigour, and shared ownership of the team's AI maturity

Skill Requirements

UX Researcher — AI & Quantitative SpecialistGrade: G6 / G8 |  Contract  | Hybrid 3 days/week in office  |  Seattle or San Jose  |  UX Research TeamAI-Native ResearchQuantitative • MustBehavioural DataMixed MethodsForesight (WOW)About the RoleWe are looking for a curious, data-savvy UX Researcher to join our team as a contactor.  This is not a traditional research role — it sits at the intersection of AI-augmented research, advanced quantitative analysis, and cross-team capability building.You will help accelerate our journey toward an AI-Native research practice by bringing hard-won external experience in using AI tools within research workflows, and by embedding behavioural data fluency across the team. You will work alongside researchers, designers, and product managers — influencing how we work, not just what we deliver.What You'll DoAI-Augmented ResearchApply AI tools actively in day-to-day research workflows — synthesis, analysis, screener design, report generation, and moreLead and co-create internal initiatives that accelerate the team's AI adoption and maturityShare external best practices and bring fresh thinking to how AI can transform research at scaleAct as an internal champion for AI-native ways of working, coaching peers and running enablement sessionsQuantitative Research & StatisticsDesign, execute, and analyse quantitative studies including large-scale surveys, concept tests, and benchmark studies [MUST HAVE]Apply statistical methods confidently: significance testing, regression analysis, factor analysis, conjoint, MaxDiff, and more [MUST HAVE]Build clear, insight-led outputs from quantitative data that drive product and business decisions  [MUST HAVE]Partner with data and analytics teams to ensure research findings are grounded in robust methodologyBehavioural & Product Data AnalysisExtract, interpret, and storytell with behavioural data from platforms such as Power BI, Amplitude, Mixpanel, or similar  [MUST HAVE]Triangulate product usage data with primary research to surface richer, more actionable insights  [MUST HAVE]Identify patterns in user behaviour that inform hypothesis generation and research prioritisationCollaborate with engineers and researchers to ensure the team has access to the right data sources and behavioural signalsQualitative ResearchPlan and facilitate user interviews, usability studies, diary studies, and contextual enquiriesApply thematic analysis, affinity mapping, and Jobs-to-be-Done frameworksTranslate qualitative findings into compelling narratives for product, design, and leadership audiencesCross-Team AI AccelerationLead AI research initiatives end-to-end — from scoping to delivery — while actively partnering with fellow researchers throughout [MUST HAVE]Work alongside researchers across the team to co-develop AI-assisted processes, templates, and playbooks that embed into everyday ways of working [MUST HAVE]Collaborate with researchers on shared AI projects, bringing structure and momentum while creating space for others to upskill alongside youIdentify bottlenecks in research operations and propose scalable, AI-enabled solutions developed with the team, not just handed to themContribute to a culture of continuous learning, methodological rigour, and shared ownership of the team's AI maturity

Other Requirements

UX Researcher — AI & Quantitative Specialist

Grade: G6 / G8 |  Contract  | Hybrid 3 days/week in office  |  Seattle or San Jose  |  UX Research Team

About the Role

We are looking for a curious, data-savvy UX Researcher to join our team as a contactor.  This is not a traditional research role — it sits at the intersection of AI-augmented research, advanced quantitative analysis, and cross-team capability building.

You will help accelerate our journey toward an AI-Native research practice by bringing hard-won external experience in using AI tools within research workflows, and by embedding behavioural data fluency across the team. You will work alongside researchers, designers, and product managers — influencing how we work, not just what we deliver.

What You'll Do

AI-Augmented Research

• Apply AI tools actively in day-to-day research workflows — synthesis, analysis, screener design, report generation, and more
• Lead and co-create internal initiatives that accelerate the team's AI adoption and maturity
• Share external best practices and bring fresh thinking to how AI can transform research at scale
• Act as an internal champion for AI-native ways of working, coaching peers and running enablement sessions

Quantitative Research & Statistics

• Design, execute, and analyse quantitative studies including large-scale surveys, concept tests, and benchmark studies [MUST HAVE]
• Apply statistical methods confidently: significance testing, regression analysis, factor analysis, conjoint, MaxDiff, and more [MUST HAVE]
• Build clear, insight-led outputs from quantitative data that drive product and business decisions  [MUST HAVE]
• Partner with data and analytics teams to ensure research findings are grounded in robust methodology

Behavioural & Product Data Analysis

• Extract, interpret, and storytell with behavioural data from platforms such as Power BI, Amplitude, Mixpanel, or similar  [MUST HAVE]
• Triangulate product usage data with primary research to surface richer, more actionable insights  [MUST HAVE]
• Identify patterns in user behaviour that inform hypothesis generation and research prioritisation
• Collaborate with engineers and researchers to ensure the team has access to the right data sources and behavioural signals

Qualitative Research

• Plan and facilitate user interviews, usability studies, diary studies, and contextual enquiries
• Apply thematic analysis, affinity mapping, and Jobs-to-be-Done frameworks
• Translate qualitative findings into compelling narratives for product, design, and leadership audiences

Cross-Team AI Acceleration

• Lead AI research initiatives end-to-end — from scoping to delivery — while actively partnering with fellow researchers throughout [MUST HAVE]
• Work alongside researchers across the team to co-develop AI-assisted processes, templates, and playbooks that embed into everyday ways of working [MUST HAVE]
• Collaborate with researchers on shared AI projects, bringing structure and momentum while creating space for others to upskill alongside you
• Identify bottlenecks in research operations and propose scalable, AI-enabled solutions developed with the team, not just handed to them
• Contribute to a culture of continuous learning, methodological rigour, and shared ownership of the team's AI maturity