Use your expert technical skills and experience to deliver state of the art employee listening technology! We're creating an employee listening system that helps build a workplace where Amazonians can invent and deliver on behalf of customers. Our products and services are used by ~2.4 million employees every day and enable Amazon to collect employee sentiment on topics like Job Satisfaction, Career Growth, Day 1 Culture and more. We generate data, metrics, and insights in the right places to drive high quality, high velocity, high impact decisions. Our team combines the culture of a startup, the innovation and creativity of an R&D lab, and technical challenges at the scale of Amazon. We expect TPMs, engineers, and management alike to take a high-level of ownership for the product vision, technical architecture, and project delivery. Successful candidates will be high-bandwidth leaders who can cut through the noise, simplify relentlessly, deliver results, and help build great teams around themselves. The AMX Employee Listening organization serves as Amazon's central hub for employee intelligence, providing tools and systems that collect, analyze, and deliver employee feedback and insights across the entire company. We gather intelligence through both active channels (where employees directly share feedback) and ambient channels (which capture how employees experience work through their digital activities and interactions). This comprehensive approach enables Amazon to understand and improve the workplace through data-driven decision making, supporting our goal to be Earth's Best Employer. Our ecosystem reaches nearly 2.4 million Amazon employees and affiliates daily. Active listening tools like Connections, MyVoice, and Amazon Surveys collect direct feedback, while ambient listening channels analyze workplace activity, digital communication, productivity, and physical presence data. These diverse data sources are integrated and shared with scientists, HRBPs, managers, leaders, business intelligence engineers, program managers, and other product teams through APIs, empowering them to make informed decisions that enhance the employee experience.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees