Product Operations Intern

Zscaler•San Jose, CA

17h•$35 - $55•Hybrid

About The Position

We’re seeking a highly organized and analytical Product Operations Intern to join our Product Department. This is a Hybrid role, requiring office presence in San Jose, CA, and reporting to the Vice President of Product Operations & NPI. The Product Operations Intern supports the efficiency and execution of the Product organization by streamlining processes, managing key operational data, and facilitating communication across product, engineering, and sales teams. This role ensures the product lifecycle moves smoothly from concept to launch by organizing documentation and analyzing operational gaps. You will directly contribute to accelerating time-to-market and improving collaboration effectiveness across the organization.

Requirements

Actively pursuing a Master's degree in Business Administration, Operations Management, Information Systems (MIS), or a related analytical field.
Computer Science (BS/MS) student with practical experience designing and deploying agent-based automation solutions using Python and modern agentic workflow frameworks (e.g., PydanticAI), including integrating with internal tools/APIs to streamline repeatable operations work.
Proven ability to communicate clearly and succinctly—both verbally and in documentation—with technical (Engineering) and non-technical (Sales/Marketing) stakeholders.
Exceptional organizational skills with a strong bias for action, demonstrated by previous experience managing documentation, tracking project milestones, or administering information systems.

Nice To Haves

Currently pursuing an MBA degree.
Exposure to cybersecurity tools and concepts or experience with AI development toolsets.

Responsibilities

Embrace AI’s potential by developing tailored applications that support the unique needs of Zscaler’s Product Operations organization. The intern will partner with Product Operations teams to capture business requirements and translate them into practical AI-enabled tools and applications that improve operational efficiency and decision-making.
Map current product development and launch processes (e.g., bug triage, feature readiness checks) and propose specific improvements to reduce friction and accelerate time-to-market.
Support the administration of core product management tools (e.g., Jira, Confluence, analytics platforms) by ensuring data integrity, managing user access, and maintaining system health.
Organize and maintain the central Product Knowledge Base (e.g., in Confluence), ensuring that critical specifications, technical FAQs, and decision logs are easily accessible and up-to-date for internal stakeholders.