Staff User Experience Researcher, Okta

• Staff-Level Expertise: 7+ years of hands-on UX research experience in complex B2B, developer, or enterprise software environments, with a track record of driving product impact at a Senior or Staff level
• Mixed-Methods Research Knowledge: Demonstrated equal mastery across Qualitative and Quantitative research methodologies
• AI Tool Practitioner: Active daily practitioner of AI tools and prompt workflows to streamline research processes and execution, including but not limited to synthesis, structuring unstructured data, and scaling insight delivery
• Domain Experience: Experience with products made for developers, administrators, or other technical audiences; experience working on security products is a strong plus
• Strategic Problem Solving: Strong ability to plan, prioritize, organize, and solve complex problems independently while working with technical and business constraints
• Cross-Functional Communication: History of effective communication, storytelling, and alignment across all levels of leadership and cross-functional partners (Product, Design, ML Engineering, Data Science)
• Mentorship & Leadership: Voracious learner and coach to people around you, raising the methodological and technical bar for the team
• Education: Master’s or Ph.D. in Human-Computer Interaction (HCI), Cognitive Psychology, Computer Science, Data Science, Social Sciences, or equivalent industry experience

Desirable

• You will proactively construct and own an AI-forward research roadmap for key product pillars at Okta, operating at the intersection of Identity, Security, and Artificial Intelligence
• As a Staff-level individual contributor, you will drive both qualitative and quantitative methodologies to define user experiences for non-deterministic AI agents, automated workflows, and developer platforms
• Additionally, you leverage agentic tools and AI workflows internally to scale qualitative coding, synthesis, and research operations across the organization
• Drive AI Agent Research: Lead foundational and evaluative research on autonomous AI agents and the security thereof
• Execute Balanced Mixed-Methods: Drive qualitative depth (contextual inquiry, cognitive walkthroughs) and quantitative rigor (large-scale surveys, behavioral telemetry, statistical modeling) to evaluate AI products
• Pioneer AI Research Operations: Integrate AI tools, prompt engineering, and agentic research workflows into your daily practice to accelerate quality research outputs
• Lead Cross-Discipline Collaboration: Facilitate research to drive cross-discipline clarity, executive alignment, and decision-making across complex security and admin workflows
• Solve Complex Problems: Bring stakeholders together across multiple teams to scope problems and collaborate on research in ways that nurture a culture of curiosity and learning
• Cultivate Empathy: Design mechanisms to build up customer empathy and deep knowledge of our partners, end users, consumers, administrators, and other identified audiences
• Tell High-Impact Stories: Represent your research to diverse audiences across the organization by telling compelling stories that motivate others to solve complex needs with your insights