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 |
|---|---|---|
| Staff Software Engineer Staff Software Engineer at Okta focused on building and optimizing full-stack solutions for the Finance Tech stack, including custom scripts, workflows, and integrations. The role involves developing and maintaining off-platform integration scripts using Python & LangChain, architecting cloud-native solutions on AWS for RAG, MCP, and Agentic AI, and designing custom Generative AI solutions using SuiteScript Generative AI API for NetSuite use cases. Requires strong Python, AWS, and NetSuite development experience, with a focus on integrating AI and Agentic AI capabilities into finance systems. | AgentData | 7 |
| Staff Software Engineer Staff Software Engineer at Okta focused on building and optimizing full-stack solutions for the Finance Tech stack, specifically integrating AI and Agentic AI capabilities into NetSuite and Oracle Fusion Cloud Applications. The role involves developing custom scripts, workflows, integrations, and cloud-native solutions on AWS for RAG, MCP, and Agentic AI, utilizing Python, LangChain, and SuiteScript Generative AI API. |
| Agent |
| 7 |
| Staff Software Engineer, AI and Automation Staff Software Engineer to design and scale Okta's Agentic AI Platform, focusing on orchestration, lifecycle management, observability, and guardrails for enterprise AI agents. The role involves building scalable APIs, frameworks, and components, collaborating with applied AI engineers, and mentoring peers. | AgentServe | 7 |
| Staff Software Engineer Okta is seeking a Staff Software Engineer to optimize, customize, and maintain their NetSuite ERP system. The role involves designing and implementing custom Generative AI solutions using NetSuite's Generative AI API, developing off-platform integration scripts with Python & LangChain for external AI/ML platforms (especially for RAG), and leveraging AWS Bedrock. The engineer will also focus on prompt engineering within NetSuite Prompt Studio to enhance NetSuite AI functions like Text Enhance and drive solutions maximizing embedded NetSuite AI capabilities. | Agent | 7 |
| Staff Software Engineer, Front-End (AI Engineering) Staff AI Engineer (Front-end) to design and scale Okta's Agentic AI Platform, focusing on building platform services for AI agents including orchestration, lifecycle management, observability, and guardrails. Requires expertise in AI agent frameworks, orchestration systems, vector databases, RAG, and monitoring/observability, alongside strong front-end and distributed systems experience. | Agent | 7 |