Urgent position of UX Researcher — AI & Quantitative Specialist(Only Local)

Tech Mirrors; San Jose (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Tech Mirrors in San Jose, CA is seeking a UX Researcher — AI & Quantitative Specialist for an onsite role. You will lead quantitative studies and AI‑assisted research initiatives to inform product decisions.

The role requires hands-on experience with Power BI or Amplitude, mixed-methods expertise, and the ability to partner with data and analytics teams to ground insights in robust methodology.

Qualifications

• Experience designing and analysing large-scale quantitative studies.
• Proficient in statistical analysis and interpretation.
• Experience integrating behavioural data into insights.
• Ability to lead AI-driven research initiatives.
• Experience combining qual and quant methods.

Responsibilities

• Design, execute, and analyse quantitative studies including surveys.
• Apply statistical methods such as regression and factor analysis.
• Build insight-led outputs that drive product decisions.
• Lead AI research initiatives from scoping to delivery.
• Collaborate with data teams to ground findings in robust methods.

Skills

Quantitative research

Statistics

Survey design

Mixed methods

Tools

Power BI

Amplitude

Job description

Hi,
Urgent position of UX Researcher — AI & Quantitative Specialist(Only Local)
Location – Sanjose,CA (Onsite)
AI-Native Research Quantitative • Must Behavioural Data Mixed Methods Foresight (WOW)

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

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

What We’re Looking For

Non-Negotiables

Demonstrable experience using AI tools within a research context — not just awareness, but active application [MUST HAVE]
Strong quantitative research skills: survey design, statistical analysis, and insight generation [MUST HAVE]
Hands‑on experience pulling and interpreting behavioural data from Power BI, Amplitude, or equivalent platforms [MUST HAVE]
Solid grounding in mixed‑methods research — you can move fluently between qual and quant [MUST HAVE]
Experience creating or leading AI‑related research initiatives, not just participating in them [MUST HAVE]

Strong Assets

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 — you manage your own time and know when to escape