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We're seeking a strategic Product Manager to lead the development and implementation of predictive analytics solutions for Hub Delivery operations. This role bridges business strategy, operational excellence, and data-driven decision making to optimize delivery networks and enhance customer experience.
A successful candidate will be customer focused, highly analytical, resourceful, a big thinker, a strong writer, and able to operate at all levels of the organization.
- Key job responsibilities
- Define and execute the product roadmap for predictive analytics solutions in hub delivery operations
- Partner with operations teams to identify key challenges and opportunities for applying predictive analytics
- Translate complex operational problems into clear business requirements for technical teams
- Lead cross-functional teams to develop solutions for business reporting, demand forecasting, route optimization, and capacity planning
- Create and monitor KPIs to measure the success of predictive analytics implementations
- Drive adoption of new tools and processes across hub operations teams
About the team
The Hub Delivery product allows local small businesses to partner with Amazon to provide flexible and cost-effective delivery service to delight customers globally. This is an emerging Amazon Logistics (AMZL) delivery channel, and is on an exponential growth trajectory globally.
Basic Qualifications
- 5+ years of product or program management, product marketing, business development or technology experience
- Bachelor's degree or equivalent
- Experience owning/driving roadmap strategy and definition
- Experience with end to end product delivery
- Experience with feature delivery and tradeoffs of a product
- Experience as a product manager or owner
- Experience owning technology products
Preferred Qualifications
- Experience in influencing senior leadership through data driven insights
- Experience working across functional teams and senior stakeholders
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 152,200.00 - 206,000.00 USD annually
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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
$1.5T
Valuation
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
Junior/L3
M3
M4
M5
M6
Mid/L4
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Product Manager L5
0 reports
$187,921
total per year
Base
-
Stock
-
Bonus
-
$159,732
$216,110
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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