Principal Product Manager-Agentic SecOps

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. What you’ll do (Role Expectations) 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 Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) 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 What Will Make You Stand Out (Preferred Qualifications) 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 #LI-Hybrid #LI-CM3 Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $171,500 — $245,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here . By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.