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Zoom Video Communications

Sr. Product Manager - Conversational AI Evaluation, Metrics & Quality

Zoom Video Communications, Myrtle Point, Oregon, United States, 97458

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Employer Industry: Technology - Conversational AI Solutions

Why consider this job opportunity:

Salary up to $339,300

Opportunity for career advancement and growth within a leading technology company

Flexible hybrid work environment, offering remote work options

Comprehensive benefits program supporting physical, mental, emotional, and financial health

Work in a collaborative culture focused on innovation and problem-solving

Be part of a team that is dedicated to enhancing customer communication and experience

What to Expect (Job Responsibilities):

Define and deliver the complete analytics experience for the Zoom Virtual Agent, including core operational metrics and AI-driven metrics

Lead the development of a conversational AI evaluation engine to assess quality, accuracy, and effectiveness of Virtual Agent interactions

Partner with engineering and AI/ML teams to define schema for engagement analytics and AI-generated metadata

Analyze large-scale agent performance data and customer feedback to identify product improvements

Define a 12–18 month roadmap for data infrastructure, reporting, analytics, and evaluation systems

What is Required (Qualifications):

B.S. or M.S. in Computer Science, Engineering, Statistics, or a related technical field

5+ years of Product Management experience, with at least 3 years focused on data, analytics, machine learning, or intelligence platforms

Proven experience working on conversational AI products, Virtual Agents, chatbots, or enterprise contact center technologies

Deep familiarity with core contact center metrics (e.g., AHT, FCR, CSAT)

Solid understanding of statistical analysis and data visualization

How to Stand Out (Preferred Qualifications):

Experience in defining metrics that drive product decisions

Strong technical acumen with the ability to articulate requirements for data pipelines and machine learning models

Familiarity with industry standards and benchmarks for Virtual Agent performance

Background in customer experience optimization and reporting capabilities

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