Senior UX Researcher

Senior UX Researcher

Workiva is seeking a Senior UX Researcher to join our Product Experience team and lead strategic research for our Financial Reporting solution, our largest and most widely adopted product area. This role is ideal for an experienced researcher who can lead qualitative and quantitative research, influence product strategy, and help shape how AI-enabled experiences are researched, evaluated, and brought to market.

What You’ll Do

• Lead end-to-end research across the Financial Reporting product portfolio, from discovery through evaluative studies.
• Design and execute qualitative, quantitative, and experimental research strategies that inform product direction, roadmap decisions, and customer value.
• Partner with Product Management, Design, Engineering, and executive stakeholders to identify opportunities, reduce product risk, and translate findings into actionable recommendations.
• Develop research methods for AI-powered experiences, including approaches for evaluating trust, usability, adoption, and human-AI interaction.
• Help define evidence-based best practices for measuring AI feature effectiveness and advancing Workiva’s research practice.
• Serve as the primary research partner for the Financial Reporting solution area and maintain continuity across ongoing and future initiatives.
• Mentor teammates, share research best practices, and contribute to team rituals, readouts, and knowledge sharing.
• Communicate findings clearly to technical and non-technical audiences and support research operations as needed.

What You’ll Need

• Bachelor’s degree in Human-Computer Interaction, Psychology, Human Factors, Cognitive Science, Social Sciences, or a related field, or equivalent practical experience.
• 5+ years of experience conducting UX research for digital products in a product-driven environment.

Preferred Qualifications

• Experience researching AI-powered or Generative AI product experiences.
• Experience designing research methods for trust, usability, and human-AI interaction.
• Strong proficiency in both qualitative and quantitative research methodologies.
• Experience partnering closely with Product, Design, and Engineering teams throughout the product development lifecycle.
• Strong understanding of experimentation, survey design, behavioral research, and statistical analysis.
• Proven ability to influence product strategy and roadmap decisions through customer insights.
• Experience mentoring researchers or contributing to a UX Research practice.
• Excellent written, verbal, and presentation skills with the ability to communicate to technical and executive audiences.
• Demonstrated ability to transform complex, underlying theoretical constructs into scalable and measurable product metrics.
• Exceptional proficiency in quantitative methods and psychometrics, including the ability to validate and track standardized metrics like SUS and UMUX over time.
• Deep expertise in statistical analysis, weighting benchmarks, and determining appropriate sample sizes for experimental designs.
• Advanced skills in data architecture and spreadsheet management, including use of complex formulas and automation to build the underlying systems that drive research scorecards and dashboards.
• High degree of analytics literacy, with the capability to integrate product telemetry and behavioral data with evaluative research to provide a holistic view of customer experience.

Working Conditions

• Remote work opportunity available.
• Less than 10% travel, including occasional customer research events and team gatherings.
• Reliable internet access required for remote work.

How You’ll Be Rewarded

• Salary range in the US: $111,000.00 - $178,000.00.
• A discretionary bonus typically paid annually.
• Restricted Stock Units granted at time of hire.
• 401(k) match and comprehensive employee benefits package.

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation—ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

Key skills/competency

• UX Research
• Qualitative Research
• Quantitative Research
• AI Product Research
• Human-AI Interaction
• Product Strategy
• Research Operations
• Mentoring
• Data Analysis
• User Experience