Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Senior Product Manager, CX Analytics
Location
United States
Posted
26 days ago
Salary
$124K - $271.2K / year
Job Description
Job Requirements
- Performing relevant market research, product research, feature research, competitor research, and more.
- Collaborating with feature teams to derive business intelligence from data captured in the contact center system from different product feature areas.
- Researching emerging contact center trends and technologies. Drive user research, market analysis, and market landscape insights to guide product decisions
- Partnering with engineering to drive the right technology to ensure performance and scalability of reporting services within the Contact Center product suite.
- Developing and maintain the direction of the data model by providing guidance and product solutions.
- Creating a vision across a large collection of enterprise applications to provide a cohesive analytics and reporting experience.
- What we’re looking for
- Have a Bachelors in Computer Science, Engineering, Data Science, or a related field, with experience working in agile product environments
- Have 10+ years of product management experience, including ownership of data platforms, analytics products, or event-driven systems in B2B SaaS
- Have experience with real time and historical analytics and reporting
- Demonstrate a solid understanding of Telecommunications or Contact center domains, including interaction lifecycles, performance metrics, and operational workflows
- Have the ability to use data—both quantitative and qualitative—to drive product strategy, prioritization, and decision-making
- Have experience working with cross-functional teams across engineering, data science, design, and executive leadership
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