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Salary: CAD 140,000 - 193,000 / annual
Okta is seeking a Staff UX Researcher to own an AI-forward research roadmap for key product pillars at the intersection of Identity, Security, and Artificial Intelligence. In this Staff-level individual contributor role, you will drive both qualitative and quantitative research methodologies to define user experiences for non-deterministic AI agents, automated workflows, and enterprise platforms.
Key responsibilities include:
- Leading foundational and evaluative research to inform strategic and tactical product decisions
- Executing balanced mixed-methods research combining qualitative depth (contextual inquiry, cognitive walkthroughs) with quantitative rigor (large-scale surveys, behavioral telemetry, statistical modeling) to evaluate AI products
- Integrating AI tools, prompt engineering, and agentic research workflows into daily practice to accelerate research outputs
- Facilitating cross-discipline collaboration to drive clarity, executive alignment, and decision-making across complex security and admin workflows
- Bringing stakeholders together across multiple teams to scope problems and collaborate on research
- Designing mechanisms to build customer empathy and deep knowledge of partners, end users, consumers, administrators, and other identified audiences
- Representing research to diverse audiences across the organization through compelling storytelling that motivates action on complex needs
You will operate with speed and urgency, executing with excellence on career-defining work that secures AI through trusted, neutral infrastructure.
REQUIREMENTS:
- 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 Senior or Staff level
- Demonstrated equal mastery across qualitative and quantitative research methodologies
- Active daily practitioner of AI tools and prompt workflows to streamline research processes, including synthesis, structuring unstructured data, and scaling insight delivery
- Experience with products made for developers, administrators, or other technical audiences; security product experience is a strong plus
- Strong ability to plan, prioritize, organize, and solve complex problems independently while working with technical and business constraints
- History of effective communication, storytelling, and alignment across all levels of leadership and cross-functional partners (Product, Design, ML Engineering, Data Science)
- Voracious learner and coach to people around you, raising the methodological and technical bar for the team
- Master's or Ph.D. in Human-Computer Interaction (HCI), Cognitive Psychology, Computer Science, Data Science, Social Sciences, or equivalent industry experience
NICE-TO-HAVE:
- Advanced quantitative toolkit: SQL, R or Python, Cluster Analysis, Advanced Statistical Modeling, A/B Testing
- AI Systems & Ops: Human-in-the-Loop (HITL) UX Evaluation, Advanced Prompt Engineering for Ops, Agentic Workflow Evaluation, Synthetic Data Validation
