Senior Product Manager, Data Platform

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.

Senior Product Manager, Data Platform (India)

Company Overview

Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device, for any app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

Role Overview: Senior Product Manager, Data Platform

As the Architect of Okta’s data-driven future, the Senior Product Manager for Data Platform orchestrates the evolution of our core data infrastructure, pipelines, and analytics capabilities. This role manages the critical tension between high-performance technical execution and the delivery of actionable business intelligence, translating high-volume identity event streams into strategic outcomes. You will serve as the essential bridge between our India-based engineering teams and a global suite of stakeholders, ensuring Okta's data remains a competitive differentiator and a cornerstone of trust for our customers.

Key Responsibilities

• Orchestrate the long-term product vision and strategy for Okta’s data platform, ensuring infrastructure and analytics roadmaps align with the scale of the world’s identity traffic.
• Architect a robust API strategy and developer tooling framework to ensure data is seamlessly and securely consumed by services across the entire Okta ecosystem.
• Collaborate with India-based engineering and development scrum teams to deliver high-performance data pipeline enhancements and architectural improvements.
• Distill complex requirements from a diverse stakeholder group—including Product, Design, User Research, Marketing, Sales, and Go-To-Market teams—into precise technical specifications.
• Analyze large-scale product data and identity-centric orchestration logs to identify friction points and drive improvements in platform performance and user experience.
• Validate assumptions at low cost by building compelling hypotheses and designing rigorous experiments before committing to major infrastructure investments.