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Are you passionate about optimizing supply chain operations and driving impactful changes through data-driven decisions? Join our team as an Instock Manager II where you will have the opportunity to build scalable mechanisms that optimize Amazon's inventory position across multiple categories. In this role, you will leverage your problem-solving skills and automation expertise to identify and implement solutions that enhance our supply chain efficiency while collaborating with various business areas. Your analytical mindset and innovative approach will help transform how we manage inventory and ensure product availability for our customers.
- Key job responsibilities
- Analyze inventory performance metrics and develop actionable insights to optimize stock levels across multiple product categories
- Design and implement automated systems and scalable mechanisms to improve inventory positioning and supply chain efficiency
- Identify root causes of instock defects and lead cross-functional efforts to implement sustainable solutions
- Partner with business stakeholders across the organization to align inventory strategies with broader business goals and customer needs
- Drive continuous improvement by developing and implementing best practices for inventory management processes
A day in the life
Your day typically begins with reviewing key inventory reports to identify potential issues requiring immediate attention. You'll spend time analyzing data patterns and generating action plans to address supply chain defects, followed by collaborating with cross-functional teams to implement your solutions. The afternoon might involve leading project meetings for your larger initiatives, developing automated tools to scale your impact, and coordinating with various business areas to ensure alignment on inventory strategies.
About the team
You'll be joining a collaborative team of four Instock Managers led by a Senior Instock Manager. Together, you form a critical part of the Total Consumer Electronics and Books organization, working to ensure product availability across these key categories. Our team prides itself on building strong relationships across business units and driving significant improvements to Amazon's supply chain operations. We're focused on developing innovative solutions that enhance customer experience through optimal inventory positioning and availability.
Basic Qualifications
- Knowledge of analytic tools
- Bachelor's degree, or experience using data to influence business decisions
- +3 YOE in ownership of projects and communicating timelines and executing independently
Preferred Qualifications
- Undergraduate degree in mathematics, engineering, statistics, computer science or a related field, or experience working directly with engineering teams
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%
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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
M3
M4
M5
M6
Intern
L2 · Revenue Operations L2
0 reports
$163,421
total / year
Base
$65,368
Stock
$81,711
Bonus
$16,342
$114,395
$212,447
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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