Translates qualitative insights into hypotheses and partners with Product Data Analysts / Scientists and Business Analysts to validate findings with quantitative data
Leverages AI tools to accelerate research synthesis, insight generation, and UX writing workflows
Develops and maintains UX writing standards, voice and tone guidelines, and content patterns
Partners with Product Managers and Designers to influence product strategy and roadmap decisions
Mentors team members on research, content, and responsible AI usage best practices
Requirements
Bachelor’s degree in computer science, engineering, design, or related field OR equivalent practical experience
Formal training in UX, HCI, or interaction design (Preferred)
6–8+ years of UX research experience with a strong emphasis on qualitative methods with 3–5 years of experience working on user-facing software products (Required)
Demonstrated experience using AI tools to support UX research and/or UX writing (Required)
Experience partnering with analytics, data science, or business intelligence teams (Required)
Demonstrated experience collaborating with designers on production applications (Required)
Experience in regulated or complex product domains (Preferred)
Experience operationalizing research insights across multiple teams (Preferred)
Experience at product-led technology companies (Preferred)
Experience working with design systems or platform-level UI infrastructure (Preferred)
Knowledge of qualitative UX research methodologies (interviews, ethnography, usability testing); UX writing and content strategy best practices; human-centered design, accessibility, and inclusive design principles, and capabilities and limitations of AI tools used in UX research and content creation (Required)
Knowledge of mixed-method research models (qual + quant validation) and regulated digital environments (healthcare, fintech, or similar) (Preferred)
Research planning, facilitation, synthesis, and storytelling skills (Required)
UX writing for product interfaces, flows, and system messaging skills (Required)
Cross-functional collaboration with data and analytics partners skills (Required)
Prompt design and evaluation for AI-assisted research and writing skills (Preferred)
Workshop facilitation and hypothesis-driven research alignment skills (Preferred)
Ability to use AI-powered tools for research synthesis and pattern detection; drafting and iterating UX copy; accelerating documentation and insight sharing (Required)
Ability to lead ambiguous discovery efforts and turn insights into clear direction (Required)
Ability to collaborate effectively with quantitative partners to validate ideas (Required)
Ability to apply AI responsibly, critically, and ethically in research and content work (Required)
Ability to influence long-term research and content strategy across product lines (Preferred)