About the Job
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...
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
The Enterprise Technology team builds and delivers the secure, scalable systems that power how our business runs. Our People Technology Team sits at the heart of this work, overseeing the full Hire-to-Retire technical ecosystem—including core applications like Workday, Greenhouse, and Cornerstone—and ensuring these ...
Key Responsibilities
Product Strategy & Roadmap Leadership: Define the multi-year product vision and strategy for the Growth & Talent domain in close collaboration with functional and technical leadership. Translate that strategy into a prioritized, outcome-driven roadmap that articulates clear business value, return on investment (ROI), and measurable impact on talent operations and employee experience.
Talent Ecosystem Modernization: Build data-driven business cases and functional strategies for major platform initiatives across the talent ecosystem (e.g., ATS, LMS, and custom Workday Extend applications), articulating clear ROI, operational efficiency gains, and improved employee and candidate experiences.
Delivery Lead Partnership: Partner closely with the Growth & Talent Delivery Lead to translate business priorities and functional requirements into well-scoped epics and user stories, while maintaining clear alignment on trade-offs, velocity, and delivery milestones.
Functional & Technical Alignment: Act as the voice of the business and end users within technical discussions, translating complex functional requirements into clear product specifications and acceptance criteria. Partner with the delivery team to evaluate technical trade-offs, balancing user experience, operational risk, and long-term scalability.
AI & Talent Automation Strategy: Define the strategy and functional requirements for integrating AI across the talent lifecycle (sourcing, onboarding, learning, internal mobility)—evaluating build vs. buy solutions, designing human-in-the-loop workflows, and ensuring enterprise-grade privacy and ethical AI standards.
Global Stakeholder Management: Drive cross-functional alignment across Digital Solutions, distributed executive stakeholders, business functional leads, and US-based product counterparts to ensure clear visibility, smooth change management, and high program adoption.
Required Skills & Abilities
8+ years of Product Management experience leading internal enterprise platforms, enterprise HR/Talent systems, or complex B2B SaaS products at global scale.
Deep Talent Tech Domain Expertise: 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.
Education: Bachelor's degree in Computer Science, Information Systems, Business, or equivalent practical experience.
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
