Okta currently has 33 active AI-related job listings. The majority of these roles, 88%, are focused on agents. Engineering is the dominant function, with 26 positions, followed by Product with 7. The company is hiring for these roles primarily in the United States, India, and Canada. Frequently mentioned tech tags include agent_orchestration, llm_observability, and rag. In the last 30 days, Okta has posted 16 new AI roles, representing a 700% increase compared to the previous 30-day period.
Currently tracking 14 active AI roles, down 17% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $165k–$374k (avg $235k).
Okta currently has 34 active AI-related roles in our index. The most common open titles are: Senior Manager, Retention Strategy & Intelligence (5), Engineering Architect, Application (Auth0) (2), Staff Product Security Engineer, Reviews (2), Staff Software Engineer (2), Staff Software Engineer, AI Agentic Experience (Auth0) (2). Most positions are in Engineering and Product.
Okta's active AI hiring is concentrated in: agents (91%), data (6%), serving infrastructure (3%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Okta is hiring AI talent in: United States (18 roles), India (8 roles), Canada (5 roles), United Kingdom (1 role).
Job postings at Okta most frequently reference: agent orchestration, guardrails, llm observability, rag, tool use.
In the past 30 days, Okta has posted 12 new AI-related roles. That is a -25% change versus the prior 30 days (16 → 12).
| Title | Stage | AI score |
|---|---|---|
| Software Engineer - Customer Experience Software Engineer role focused on building intelligent customer experience solutions by integrating Salesforce CRM with AWS services and generative AI capabilities. The role involves developing AI-powered experiences using Amazon Bedrock and LangChain, building backend services for LLM orchestration and RAG pipelines, and ensuring scalability, reliability, and maintainability of these systems. Emphasis on prompt engineering, grounding, and AI interaction patterns, alongside robust API design and CI/CD practices. | AgentServe | 7 |