Senior Product Manager, Analytics & AI (Remote)

Zoom; Phoenix (AZ); Hybrid; USD 124,000 - 271,000; Full time

Job summary

Zoom is seeking a Senior Product Manager for Analytics and Insights on the Zoom Contact Center team. You will shape how contact center leaders and agents understand performance data across millions of interactions, defining roadmaps for real-time and historical analytics, reporting, and AI-driven insights.

Collaborate with engineering, data science, and design to deliver enterprise-grade analytics that are reliable, customizable, and valuable for operations.

Qualifications

• 10+ years of product management experience with data platforms or analytics in B2B SaaS.
• Bachelor's degree in CS, Engineering, Data Science, or related field; agile experience.
• Deep expertise in real-time and historical analytics, reporting, and data modeling; SQL experience.
• Knowledge of telecommunications or contact center domains is a plus.
• Experience applying AI tools for research synthesis and data analysis.

Responsibilities

• Define and execute the analytics product strategy and roadmap.
• Lead end-to-end product development from discovery to launch.
• Collaborate with engineering and data science on data models and architecture.
• Conduct market and user research to identify trends and needs.
• Collaborate with cross-functional teams to surface business intelligence.
• Maintain a cohesive vision for real-time/historical analytics and AI insights.
• Influence priorities with engineering, data science, design, and leadership.

Skills

Product management

Analytics

Roadmap ownership

Stakeholder management

SQL

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Figma

Productboard

Jira

Job description

Zoom is seeking a Senior Product Manager for Analytics and Insights on the Zoom Contact Center team. You will shape how contact center leaders and agents understand performance data across millions of interactions, defining roadmaps for real-time and historical analytics, reporting, and AI-driven insights.

Collaborate with engineering, data science, and design to deliver enterprise-grade analytics that are reliable, customizable, and valuable for operations.