UX Researcher

Cloudious • San Jose, CA

1d

About The Position

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

Behavioral Product Data Analysis: Extract, interpret, and story-tell with behavioral data from platforms such as Power BI, Amplitude, Mixpanel, or similar. Triangulate product usage data with primary research to surface richer, more actionable insights. Identify patterns in user behavior that inform hypothesis generation and research prioritization. Collaborate with engineers and researchers to ensure the team has access to the right data sources and behavioral signals.

Qualitative Research: Plan and facilitate user interviews, usability studies, diary studies, and contextual inquiries. 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. Work alongside researchers across the team to co-develop AI-assisted processes, templates, and playbooks that embed into everyday ways of working. 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 rigor, and shared ownership of the team's AI maturity.

Requirements

• Demonstrable experience using AI tools within a research context (not just awareness but active application).
• Strong quantitative research skills (survey design, statistical analysis, and insight generation).
• Hands-on experience pulling and interpreting behavioral data from Power BI, Amplitude, or equivalent platforms.
• Solid grounding in mixed-methods research (ability to move fluently between qual and quant).
• Experience creating or leading AI-related research initiatives (not just participating in them).

Nice To Haves

• Experience collaborating cross-functionally with Designers, PMs, and Engineers in agile or product-led environments.
• Ability to communicate complex data clearly to non-research stakeholders.
• Familiarity with research tooling (UserTesting, Qualtrics, Airtable, Maze, or similar).
• Confidence working independently as a contractor (manage own time and know when to escalate).

Responsibilities

• 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.
• Execute and analyse quantitative studies, including large-scale surveys, concept tests, and benchmark studies.
• Apply statistical methods confidently (significance testing, regression analysis, factor analysis, conjoint, MaxDiff, and more).
• Build clear, insight-led outputs from quantitative data that drive product and business decisions.
• Partner with data and analytics teams to ensure research findings are grounded in robust methodology.
• Extract, interpret, and story-tell with behavioral data from platforms such as Power BI, Amplitude, Mixpanel, or similar.
• Triangulate product usage data with primary research to surface richer, more actionable insights.
• Identify patterns in user behavior that inform hypothesis generation and research prioritization.
• Collaborate with engineers and researchers to ensure the team has access to the right data sources and behavioral signals.
• Plan and facilitate user interviews, usability studies, diary studies, and contextual inquiries.
• Apply thematic analysis, affinity mapping, and Jobs-to-be-Done frameworks.
• Translate qualitative findings into compelling narratives for product design and leadership audiences.
• Lead AI research initiatives end-to-end, from scoping to delivery, while actively partnering with fellow researchers throughout.
• Work alongside researchers across the team to co-develop AI-assisted processes, templates, and playbooks that embed into everyday ways of working.
• 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 rigor, and shared ownership of the team's AI maturity.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed