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Okta

Staff UX Researcher

Toronto, ON, Canada

Pay: $140,000 to $193,000 CAD / year
Job type: Full-time
Apply by: Mar 22, 2027
Posting language: English
Posted: Sep 23, 2026

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Original job description

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Position Description:

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 enterprise platforms. Additionally, you leverage agentic tools and AI workflows internally to scale qualitative coding, synthesis, and research operations across the organization.

In this role, you’ll get to:

Drive Product-shaping Research: Lead foundational and evaluative research to inform strategic and tactical product decisions.
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.

You could be a fit if you have:

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.

Nice-to-Have (Not required, but a plus):

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.

P5763_3561171

Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.

The annual base salary range for this position for candidates located in Canada is between:: $140,000 CAD - $193,000 CAD

The Okta Experience

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

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More about this job

Responsibilities

Own an AI-focused research roadmap and lead foundational and evaluative mixed-methods research for identity, security, AI, and enterprise products. Apply AI tools and agentic workflows to scale research operations, align cross-functional stakeholders, build customer empathy, and communicate actionable insights.

Requirements

Requires 7+ years of hands-on UX research experience in complex B2B, developer, or enterprise software, with strong qualitative and quantitative research expertise and experience using AI tools in research workflows. Candidates should have experience with technical audiences, strategic problem-solving, cross-functional communication, and mentorship; a master’s or Ph.D. in a relevant field or equivalent industry experience is specified.

Skills

UX Research
Qualitative Research
Quantitative Research
Mixed-Methods Research
AI Research
Prompt Engineering
Research Operations
Contextual Inquiry
Cognitive Walkthroughs
Behavioral Telemetry
Statistical Modeling
Cross-Functional Collaboration
Research Synthesis
Storytelling
Mentorship
Security Product Research

Benefits

Equity
Bonus
Health Insurance
Dental Insurance
Vision Insurance
RRSP Matching
Healthcare Spending Account
Telemedicine
Paid Time Off
Parental Leave

Visa sponsorship

Not detected in the job text

Keywords

UX Research
Identity
Security
Artificial Intelligence
AI Agents
Automated Workflows
Enterprise Platforms
Qualitative Research
Quantitative Research
Mixed-Methods Research
Contextual Inquiry
Cognitive Walkthroughs
Surveys
Behavioral Telemetry
Statistical Modeling
Prompt Engineering
Agentic Workflows
Research Synthesis
Human-in-the-Loop UX Evaluation
Synthetic Data Validation
SQL
R
Python
Cluster Analysis
A/B Testing
Developer Experience
Administrator Workflows
Machine Learning Engineering
Data Science
Human-Computer Interaction

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