Product Management Intern, AI

Zscaler•San Jose, CA

26d•$35 - $55•Hybrid

About The Position

Zscaler accelerates digital transformation so our customers can be more agile, efficient, resilient, and secure. Our cloud native Zero Trust Exchange platform protects thousands of 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 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 make a positive difference on a global scale, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. The AI Solutions team at Zscaler is looking for a highly strategic and driven Product Management Intern for our San Jose, CA hybrid summer internship program. Our mission is to build and scale AI solutions that drive fundamental business transformation. Reporting directly to the Senior AI Product Manager, you will play a crucial role in contributing to the strategy, roadmap, and delivery of innovative AI products across one of three critical focus areas. The ideal candidate is a curious power user of Generative AI tools, holds a strong passion for AI product development, and demonstrates the ability to influence and shape our internal product roadmap. AI Platform & Agents: Focused on the foundational AI stack, including vector databases and the development of intelligent AI agents that interface with other tools. Applied AI Solutions: Focused on customer-facing applications and solutions, such as the Customer Support Portal where an AI agent answers questions, triages needs, and creates support cases. Product Strategy & Enablement: Focused on driving product maturity by managing data sets, coordinating enablement campaigns, and researching market trends to inform the evolution of the AI platform and tools. You will play an essential role in navigating the evolution of this technology—from platform development to from platform development to enablement, support and communication.

Requirements

Currently pursuing a degree in Computer Science, Engineering, Business, Data Science, or a related field.
Strong foundational understanding of the AI/ML landscape, including concepts like LLMs, vector databases, and AI agents.
Excellent written and verbal communication skills with the ability to articulate complex technical concepts to a non-technical audience.
Demonstrated analytical skills to gather data, define success metrics, and make data-driven product recommendations.
Motivated self-starter with the ability to manage multiple priorities in a fast-paced environment.

Nice To Haves

Prior experience or coursework specifically related to product management, strategic consulting, or software development.
Familiarity with Agile/Scrum methodologies and product management tools (e.g., Jira, Confluence).
Experience in conducting user research and translating customer feedback into actionable insights
Familiarity with minor cybersecurity concepts such as cryptography, common web application vulnerabilities (e.g., OWASP Top 10), and secure coding practices.
Familiarity with Python for basic scripting and automation tasks.
Familiarity with Java or similar object-oriented programming languages, enabling you to understand and review code logic.
Strong organizational and communication skills for managing technical documentation and working with cross-functional teams.

Responsibilities

Define and scope new features and use cases for the AI platform or customer-facing AI agents, translating business needs into clear product requirements.
Conduct market research on emerging AI trends, competitive intelligence, and successful product strategies to inform the team's roadmap and focus on next use cases (including consumer-focused opportunities).
Collaborate closely with Engineering, Data Science, and UX/UI teams to guide the development lifecycle of assigned AI features or products.
Support the Product Manager in the strategic areas of feature development, internal/external enablement campaigns, and measuring product success metrics.
Assist in documenting product roadmaps, user stories, and feature specifications for internal stakeholders.