招聘
Benefits & Perks
•Professional development budget
•Generous paid time off and holidays
•Team events and activities
•Parental leave
•Learning
•Parental Leave
Required Skills
React
Python
JavaScript
A Quality Assurance Manager in the Alexa ecosystem plays a critical role in driving product quality and team performance across multiple technical domains. The QAM will work closely with Product Management, Software Development Engineering, User Experience Design, and Customer Support groups to understand product vision, requirements, and customer usage models while developing comprehensive test strategies.
Key job responsibilities
Key responsibilities include setting the QA team's technical vision and roadmap, developing and tracking project schedules, and managing a team responsible for validating software functionality, stability, and performance. The successful Quality Assurance Manager must have a strong customer focus and be obsessed with continuous quality improvement, with particular expertise in creating world-class automation for feature testing and regression.
The ideal candidate will demonstrate the ability to develop and drive high-level strategies while simultaneously taking a hands-on approach to implementation. They must be experienced in working within cross-disciplinary organizations and capable of driving strategy to implementation in a fast-paced, dynamic environment. Critical skills include the ability to:
1. Develop comprehensive test strategies
2. Create and track project schedules
3. Build and lead high-performing QA teams
4. Implement advanced automation frameworks
5. Ensure software functionality and performance meet high-quality standards.
Basic Qualifications
- 1+ years of quality assurance engineering experience
- 3+ years of quality assurance teams management experience
- Experience managing manual testers
- Experience managing automation testers
- Experience testing web technologies and back-end services
- Experience identifying and reviewing test plans, test cases and testing results with a strong QA background
Preferred Qualifications
- Experience preparing quality metrics and effectively engaging with stakeholders to set and drive quality goals
- Experience transforming QA programs from manual to automation
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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