Remote Senior Product Manager: Analytics & AI Insights

zoom; United States; Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Flexible work arrangements

Broad benefits program

Job summary

Zoom is seeking a senior product leader to own analytics for contact center intelligence across voice, messaging, email, and work items. You will drive real-time and historical reporting, dashboards, and data architecture, from discovery through adoption.

You will partner with engineering, design, data science, and marketing to define requirements, measure success, and deliver scalable analytics capabilities that guide customers and internal stakeholders.

Qualifications

• 10+ years of product management experience in B2B SaaS analytics or data platforms.
• Track record delivering analytics products from discovery to adoption.
• BS in CS/engineering/data science or related field with Agile experience.
• Strong knowledge of real-time and historical analytics, SQL, and data modeling.
• Ability to combine quantitative and qualitative research with cross-functional teams.
• Familiar with contact center operations and AI tooling relevance.

Responsibilities

• Set the analytics roadmap aligned with customer needs and product goals.
• Lead end-to-end product work with eng, design, and marketing.
• Shape data models and reporting architecture for scale and reliability.
• Research workflows and market trends to identify opportunities.
• Develop a vision for dashboards and reports across contact center channels.
• Build cross-functional alignment and measure delivered value.

Skills

Product management

Analytics

SQL

Data modeling

Agile

Stakeholder management

Education

Bachelor’s degree in CS/Engineering/Data Science

Tools

Figma

Productboard

Jira

Job description

Zoom is seeking a senior product leader to own analytics for contact center intelligence across voice, messaging, email, and work items. You will drive real-time and historical reporting, dashboards, and data architecture, from discovery through adoption.

You will partner with engineering, design, data science, and marketing to define requirements, measure success, and deliver scalable analytics capabilities that guide customers and internal stakeholders.