Principal Product Manager-Agentic SecOps

Zscaler•San Jose, CA

3d•$171,500 - $245,000•Hybrid

About The Position

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.

Requirements

Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
AI/ML Platform or Infra Product Management — Proven experience owning shared developer-facing platforms, AI infrastructure, or internal tooling products; comfortable working in platform/horizontal roles rather than end-user feature work
Agentic AI & LLM Ecosystem Fluency — Hands-on familiarity with LLM-based agent frameworks, multi-agent orchestration patterns, agent memory and tool use, and emerging standards like MCP (Model Context Protocol)
AI Observability, Logging & Governance — Experience defining requirements for agent tracing, evaluation, audit logs, and guardrails — including AI compliance, safety policies, and responsible AI frameworks in an enterprise context
Cross-Functional Platform Roadmap Ownership — Track record of managing a platform roadmap that serves other product and engineering teams as internal customers, including prioritization across competing use-case demands and driving alignment with engineering on shared services and tooling

Nice To Haves

Experience designing scalable product architectures for multi-agent orchestration, advanced LLM tool-use frameworks, or standardized model context communication layers
Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s or MBA is a plus
UX & Product Design Collaboration for Complex Workflows — Experience owning or co-owning a unified user experience for a technical or multi-component product alongside cybersecurity domain knowledge to navigate domain constraints

Responsibilities

Lead Product Discovery - Deeply understand the needs of internal teams (application PMs, engineering, automation) and end-user personas, conduct market research on the agentic AI landscape, and drive ideation for shared agent capabilities, infrastructure, and unified UX
Define Product Vision and Roadmap - Own the vision and roadmap for the agentic platform — spanning agent runtimes, shared tooling, agent library, AI compliance, and unified agent UX — from discovery through launch and iteration
Drive Day-to-Day Execution with Engineering - Partner with engineering and AI/ML teams to prioritize backlogs, clarify scope, and ensure high-quality delivery — enabling application teams to ship agents faster and more reliably
Enable and Align Stakeholders - Collaborate with application PMs and go-to-market functions to ensure platform capabilities integrate seamlessly into product workflows and support RFP responses, pilots, and customer adoption
Measure Success and Iterate - Define and track platform success metrics — including agent adoption, delivery velocity, and end-user engagement — and use data and feedback to continuously improve AI platform quality and value