Staff UX Researcher - AI, Identity & Security (Hybrid)

Okta

Bellevue (WA)

On-site

USD 156,000 - 215,000

Full time

14 days+
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Benefits offered by this job

Health, dental & vision insurance
401(k) plan
Paid time off & parental leave

Job summary

Okta seeks a Staff-level UX researcher to own an AI-forward research roadmap at the intersection of Identity, Security, and AI. You will drive qualitative and quantitative methods to define experiences for autonomous AI agents, workflows, and developer platforms.

You will scale research operations with agentic workflows, while mentoring teams and collaborating with Product, Design, ML Engineering, and Data Science to deliver high-impact insights.

Qualifications

  • 7+ years of hands-on UX research in complex B2B/enterprise software.
  • Master's or PhD in HCI, Cognitive Psychology, CS, DS or related field.
  • Experience researching AI agents and security-focused UX.
  • Strong cross-functional collaboration with Product, Design, ML Eng, Data Science.
  • Proven mentorship and leadership across teams.

Responsibilities

  • Lead AI agent research and evaluate autonomous agents for security.
  • Apply mixed-methods research to inform product experiences.
  • Integrate AI tools and prompt workflows into daily practice.
  • Align research with stakeholders across security and admin workflows.
  • Scope problems and foster curiosity and learning across teams.

Skills

UX research
Mixed methods
AI tooling
Developer/enterprise product
Strategic problem solving
Cross-functional communication
Leadership & mentorship
Advanced degree (MS/PhD)

Education

Master's or PhD in HCI, CS, DS or related

Tools

SQL
Python
R

Job description

Okta seeks a Staff-level UX researcher to own an AI-forward research roadmap at the intersection of Identity, Security, and AI. You will drive qualitative and quantitative methods to define experiences for autonomous AI agents, workflows, and developer platforms.

You will scale research operations with agentic workflows, while mentoring teams and collaborating with Product, Design, ML Engineering, and Data Science to deliver high-impact insights.

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