People Technology Staff Product Manager

• Bachelor's degree in Computer Science, Information Systems, Business, or equivalent practical experience.

• 8+ years of Product Management experience leading internal enterprise platforms, enterprise HR/Talent systems, or complex B2B SaaS products at global scale.
• Experience scoping and delivering solutions on enterprise platform extensibility frameworks (e.g., Workday Extend, orchestration engines, or custom application ecosystems).
• Direct experience conceptualizing, testing, or deploying agentic AI workflows, conversational interfaces, or autonomous task automation in an enterprise HR context.
• Working knowledge of enterprise data governance, compliance standards (SOX, SOC2, GDPR), and sensitive employee data handling.

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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.

• In-depth understanding of core Talent Acquisition, Learning & Development, and Performance/Talent Management processes, with hands-on familiarity with enterprise platforms such as Greenhouse, Cornerstone, and Workday Talent (or equivalent ATS/LMS/HCM ecosystems).
• Strategic Business Case & ROI Sizing: Proven ability to translate long-term business goals into multi-year product strategies, build data-backed investment cases, and measure the tangible ROI and operational impact of platform initiatives.
• Technical Fluency & Cross-Functional Translation: Demonstrated track record partnering with delivery teams on system integrations, data flows, and technical trade-offs—translating complex business requirements into clear functional specifications, acceptance criteria, and PRDs.
• AI & Automation Acumen: Functional understanding of enterprise AI applications, generative AI capabilities, and automated workflows, with an appreciation for human-in-the-loop design, ethical AI, and data privacy safeguards.
• Autonomous Global Leadership: Proven success operating with high autonomy across distributed time zones (US / APAC / EMEA), driving alignment and influencing senior business stakeholders and technical delivery teams asynchronously.