Staff, UX Researcher, Consumer

Fetch•Remote,

About The Position

Fetch is looking for a Staff UX Researcher to lead research for its Consumer Growth collective, focusing on making Fetch a rewarding daily habit for millions of users. This role will drive research across critical user journeys such as onboarding, activation, and retention (churn prevention) to help teams understand how Fetch can deliver immediate and lasting value. As a senior individual-contributor, the researcher will lead through scope judgment, research rigor, clear thinking, and strategic influence. The position involves moving beyond mere execution to help teams frame ambiguous problems, define key hypotheses, and activate insights directly into the product roadmap. This role is ideal for a proactive researcher with a strong product sense who aims to translate deep user understanding into measurable growth outcomes.

Requirements

6+ years of industry UX research experience, with demonstrated impact on product strategy and roadmaps as a senior individual contributor
Experience communicating research and decision tradeoffs to partners
Mixed-methods fluency: you've independently led qualitative and quantitative research and know how to combine interviews, usability and concept testing, surveys, behavioral data, experiments, and benchmarking to answer strategic questions
Hands-on experience designing and analyzing surveys and interpreting behavioral or experimental data; proficiency with at least one statistical analysis tool and one survey platform, or equivalent approaches
Experience owning research end-to-end, including scoping, planning, participant recruitment, study setup, analysis, synthesis, and activation
Thoughtful experience using AI-assisted tools in the research process, with sound judgment about responsible use, quality, and where human expertise is essential

Nice To Haves

Prior Growth or user lifecycle research experience
Experience mentoring researchers or enabling designers and PMs to conduct high-quality evaluative research
Comfortable with working as a research lead in a fast-paced or startup environment
Consumer mobile app, loyalty, or e-commerce experience
A background in psychology, anthropology, cognitive science, HCI, statistics, behavioral economics, quantitative social science, experimental psychology, or a related human-centered or quantitative field

Responsibilities

Lead generative and evaluative mixed-methods research across the Consumer Growth collective (onboarding, activation, and retention), ensuring insights are cohesive across the entire user journey.
Communicate strategic insights through compelling storytelling, workshops, and clear written summaries, translating complex user behaviors into actionable roadmap recommendations.
Partner closely with Growth Product Managers, Designers, Data Analysts, and Marketing leaders to identify high-leverage research opportunities, shape roadmaps, and influence product priorities.
Gain alignment with design and research leadership to establish research strategy and learning agenda for the Growth area.
Triangulate qualitative insights with quantitative data (such as surveys and behavioral analytics) to build clear, decision-ready frameworks that help teams navigate complex experience trade-offs.
Design and analyze research for rapid learning and growth experiments, helping teams evaluate new concepts and onboarding flows without sacrificing user trust or long-term retention.
Enable and democratize research safely by mentoring and guiding designers and PMs to conduct their own evaluative research with the right templates, guidelines, and guardrails.
Raise the bar for research rigor and quality across the Growth area, championing evidence-based decision-making and ensuring user insights are grounded in clear truths.
Standardize research operations, including participant recruitment and tooling, and contribute high-quality findings to the shared research repository to keep insights reusable and accessible.
Utilize AI responsibly to accelerate research workflows, while exercising sound judgment to ensure quality, data responsibility, and human expertise remain at the core of your findings.