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. The Software Engineer II Opportunity We are looking for a software engineer to build the interfaces people use to work with autonomous AI workers. This is not a dashboard job. Our users chat with agents that run for hours, steer them mid-task, inspect what an agent remembers, approve or reject its actions, and watch it work in real time. You will own those surfaces: the chat experience, the memory and context views, the live run timeline, and the approval flows that keep a human in charge. You will define what agentic interfaces look like—because most of the patterns you will ship do not exist yet. This is a senior individual contributor role requiring a minimum of 5 years of relevant experience. About You Proven Product Builder: You have built and shipped products that users love and have seen the direct impact of your work at scale. End-to-End Ownership : You take pride in owning projects from initial concept to launch and are comfortable wearing multiple hats to get the job done. AI & Tech Innovator: You stay ahead of the curve, eager to explore and implement the latest technologies, particularly in AI and LLM front-end paradigms. Collaborative Partner : You thrive in a high-bandwidth team environment and work effortlessly with both technical and non-technical partners. Driven & Ambitious : You have a hunger for success and want to build at a fast-growing company with big goals. What you’ll be doing Build the conversational interface for long-horizon agents: streaming responses, tool calls shown as they happen, pause and interrupt controls, and mid-task steering. Design and ship memory management interfaces that let users see what an agent knows, edit or delete memories, and understand what context the agent is using and why. Build live agent run views: plans, steps, artifacts, retries, and results, rendered in real time over WebSockets or server-sent events. Build human-in-the-loop approval surfaces for agent actions that write to external systems, with clear diffs of what the agent is about to do. Build the Worker Builder interface where users design and configure their own digital workers in natural language. Manage complex client state for long-running agent sessions: reconnection, optimistic updates, partial results, and failure recovery. Create a reusable component library for agentic patterns so every new worker ships with a consistent, polished interface. Handle model output honestly in the UI: citations, uncertainty, errors, and empty states that tell the user the truth. Work daily with backend and agent engineers to shape the APIs and event streams the interfaces consume. Optimize for performance across devices and keep the experience fast while an agent streams thousands of events. What you’ll bring to the role 3+ years of front-end engineering experience with deep expertise in React, TypeScript, and modern state management (hooks, context, state machines). Experience building chat, copilot, or other LLM-powered interfaces in production. Hands-on experience with real-time UIs: WebSockets, server-sent events, streaming rendering, and reconnection handling. Strong product sense and the ability to design interaction patterns where no standard exists yet. Experience integrating front ends with LLM APIs and handling streamed, partial, and structured model outputs. Experience translating designs into fast, polished, responsive production code. Strong communication skills and comfort working directly with users to refine the experience. And extra credit if you have experience in any of the following! You have shipped a chat or agent product used by thousands of users. Familiarity with agent frameworks (LangChain, LangGraph, or equivalent) and AI front-end SDKs such as the Vercel AI SDK. Experience with design systems, accessibility standards, and component library ownership. Experience visualizing complex processes: timelines, graphs, or workflow builders. Prior experience at a high-growth venture-backed AI or SaaS startup. (P25691) #LI-Inperson #LI-BB! Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, 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: rewards.okta.com . The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $140,000 — $192,000 USD 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.

Requirements

Must-haves

Proven Product Builder: You have built and shipped products that users love and have seen the direct impact of your work at scale.
End-to-End Ownership : You take pride in owning projects from initial concept to launch and are comfortable wearing multiple hats to get the job done.
AI & Tech Innovator: You stay ahead of the curve, eager to explore and implement the latest technologies, particularly in AI and LLM front-end paradigms.
Collaborative Partner : You thrive in a high-bandwidth team environment and work effortlessly with both technical and non-technical partners.
Driven & Ambitious : You have a hunger for success and want to build at a fast-growing company with big goals.
What you’ll be doing
Build the conversational interface for long-horizon agents: streaming responses, tool calls shown as they happen, pause and interrupt controls, and mid-task steering.
Design and ship memory management interfaces that let users see what an agent knows, edit or delete memories, and understand what context the agent is using and why.
Build live agent run views: plans, steps, artifacts, retries, and results, rendered in real time over WebSockets or server-sent events.
Build human-in-the-loop approval surfaces for agent actions that write to external systems, with clear diffs of what the agent is about to do.
Build the Worker Builder interface where users design and configure their own digital workers in natural language.
Manage complex client state for long-running agent sessions: reconnection, optimistic updates, partial results, and failure recovery.
Create a reusable component library for agentic patterns so every new worker ships with a consistent, polished interface.
Handle model output honestly in the UI: citations, uncertainty, errors, and empty states that tell the user the truth.
Work daily with backend and agent engineers to shape the APIs and event streams the interfaces consume.
Optimize for performance across devices and keep the experience fast while an agent streams thousands of events.
What you’ll bring to the role
3+ years of front-end engineering experience with deep expertise in React, TypeScript, and modern state management (hooks, context, state machines).
Experience building chat, copilot, or other LLM-powered interfaces in production.
Hands-on experience with real-time UIs: WebSockets, server-sent events, streaming rendering, and reconnection handling.
Strong product sense and the ability to design interaction patterns where no standard exists yet.
Experience integrating front ends with LLM APIs and handling streamed, partial, and structured model outputs.
Experience translating designs into fast, polished, responsive production code.
Strong communication skills and comfort working directly with users to refine the experience.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmreacttypescriptdesign systemsaccessibilitymachine learning

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave