About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession , collaboration, ownership, and accountability
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity
Role We are looking for a Principal Product Manager to join our team. This is a hybrid opportunity out of our San Jose Office, or as a remote position for candidates based in the USA role, reporting to the Senior Director, Product Management in the Security Operations Platform Product Management department. In this role, you will join our Agentic SecOps platform team to be the Agentic Platform PM who owns the shared foundation that empowers all SecOps product teams to build, deploy, and operate AI agents reliably and responsibly. You will define the strategy and roadmap for shared AI infrastructure—including agent runtimes, a curated agent library, shared tooling, third party agents interaction with the platform, and the unified agent UX across the SecOps platform—so that application PMs can focus on use cases rather than rebuilding foundational capabilities. Think of this role as owning the "operating system" for AI agents—from the developer tooling of building agents, to the end-user experience of running them, and the governance layer keeping them trustworthy