Senior PM, Analytics & AI for Contact Center (Remote)

Zoom

Hartford (CT)

Hybrid

USD 124,000 - 271,000

Full time

3 days ago
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Job summary

Zoom is seeking a Senior Product Manager for Analytics and Insights on the Zoom Contact Center team. You will define the roadmap for real-time and historical analytics, custom reporting, and AI-driven insights across millions of interactions.

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

Qualifications

  • Strong track record in product management with data platforms, analytics products, or event-driven systems.
  • Bachelor’s degree in CS/engineering/data science or related field and experience in agile environments.
  • Deep expertise in real-time and historical analytics, reporting, and data modeling with SQL and analytical tooling.

Responsibilities

  • Define and execute the product strategy and roadmap for contact center analytics.
  • Lead end-to-end product development from discovery through post-launch.
  • Partner with engineering and data science to shape data models and reporting architecture.
  • Drive market, competitive, and user research to identify trends and needs.
  • Collaborate with cross-functional feature teams to surface business intelligence from data.
  • Create and maintain a cohesive vision for real-time and historical analytics and AI-driven insights.
  • Build relationships with engineering, data science, design, and leadership to influence priorities.

Skills

Analytics & data
AI tools experience
Contact center analytics
Stakeholder influence

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Jira
Figma
Productboard
SQL

Job description

Zoom is seeking a Senior Product Manager for Analytics and Insights on the Zoom Contact Center team. You will define the roadmap for real-time and historical analytics, custom reporting, and AI-driven insights across millions of interactions.

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

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