Senior AI Analyst, People Digital Solutions

Okta Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Bellevue, WAChicago, ILSan Francisco, CAWashington, DC
Salary
$121,000–$166,000 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $184k
This role $144k
$109k $233k
below market most similar roles pay here above market

This role pays less than 78% of similar roles. Most pay $147,100–$221,137 — the blue band above. At the midpoint, this role pays about $144k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About Okta Inc

Okta, Inc. is an American identity and access management company based in San Francisco. It provides cloud software that helps companies manage and secure user authentication into applications, and for developers to build identity controls into applications, websites, web services, and devices.[

Okta Inc currently has 105 open roles on FindRole.

Listed pay typically runs $174,000–$239,000 across 105 roles with salary data.

Most-posted roles

View all roles at Okta Inc

At a glance

TL;DR · Senior AI Analyst, People Digital Solutions

The Senior AI Analyst, People Digital Solutions joins the People Operations & Digital Solutions team to shape the future of employee support through intelligent knowledge management and automated self-service. This role involves training, evaluating, and optimizing AI-powered assistants, chatbots, and agentic AI solutions to ensure accurate and reliable employee experiences. You will design prompts, conversational flows, and training scenarios while monitoring performance metrics like containment and resolution rates. The position requires hands-on experience with ServiceNow, SQL, Excel, Power BI, and Tableau to translate complex business processes into intuitive conversational data. You will mitigate hallucinations and improve content discoverability by partnering with Knowledge Management teams. This role solves the technical challenge of delivering trusted, relevant, and consistent AI responses within an enterprise support environment.

What you'll do

  • Train, test, and evaluate AI-powered assistants, chatbots, and agentic AI solutions to ensure reliable employee experiences.
  • Design and optimize prompts, conversational flows, intents, and training scenarios across enterprise support platforms.
  • Evaluate AI outputs for accuracy, relevance, and tone while identifying and mitigating hallucinations or misinformation.
  • Monitor and analyze performance metrics like containment, resolution, and user satisfaction to identify automation opportunities.
  • Translate complex business processes into intuitive conversational scenarios and training data using ServiceNow knowledge.
  • Create and maintain AI training materials, test cases, and evaluation criteria in partnership with Knowledge Management teams.
  • Support the testing and rollout of new AI capabilities based on performance analytics and user feedback.
  • Stay current with generative AI developments to contribute ideas for improving employee self-service and digital support.

What we're looking for

  • Experience in AI training, prompt engineering, conversational design, NLP, or AI optimization within employee or customer support environments.
  • Proven experience training, evaluating, and optimizing AI models, conversational agents, or LLM-powered assistants, including agentic AI solutions.
  • Strong understanding of prompt engineering, AI evaluation, model optimization, and responsible AI practices.
  • Demonstrated ability to analyze conversational data and performance metrics to drive measurable improvements.
  • Working knowledge of ServiceNow or a similar enterprise service-management platform.
  • Strong analytical skills and experience with tools such as SQL, Excel, Power BI, Tableau, or ServiceNow Analytics.
  • Experience with enterprise conversational AI platforms, knowledge management systems, or AI-enabled search technologies.
  • Excellent written and verbal communication skills to translate technical and business requirements into clear, user-focused content.

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