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Senior Product Manager - Tech, Selling Partner Services

职能产品
级别资深
地点Tempe, Azerbaijan, United States
方式现场办公
类型全职
发布2周前
立即申请
  • Are you interested in being part of a high visibility, strategic team that directly impacts millions of Selling Partners worldwide? Are you interested in enabling the latest in Generative AI to radically reduce Selling Partner effort to generate listing content on Amazon? The Core Selling Partner Experience (CSPE) team builds world-class experiences to help Selling Partners across the world bring great selection at low prices for our shopping customers. We are seeking an experienced Sr. Product Manager

  • Tech to drive the vision of core shared services that enable Seller Central, Vendor Central and the publicly vended APIs for creating and managing Listings on and off Amazon.

  • Key job responsibilities

  • Understanding Selling Partner and Developer needs, defining clear project plans, and executing to high expectations in a fast-paced environment.

  • Interact directly with external Developers about their experience with our public APIs.

  • Defining a data-driven product vision, developing business cases and requirements, and prioritizing competing opportunities.

  • Partnering with other functional teams to identify and influence development of new products and services.

  • Interacting with stakeholders at multiple levels and in multiple locations, and working with business, UX, tech and analytics teams to define and deliver impactful solutions to our Selling Partners.

  • Anticipating bottlenecks, providing escalation management, anticipating and making tradeoffs, and balancing business needs versus technical or operational constraints.

  • Drive execution of product roadmap, GTM and Selling Partner adoption by partnering with internal stakeholders.

  • Making smart tradeoffs, coordinate dependencies, and maintain communication throughout the organization to guarantee smooth and efficient product delivery.

A day in the life
You will help define the product vision for our shared services, including public APIs, used by millions of sellers, vendors and developers every day. You will identify ways to simply content generation using Generative AI and other ML-based solutions. You will work with UX, tech and WW stakeholders to design, build and bring products to market. You will be responsible for overall adoption, effectiveness, efficiency and satisfaction of your product.

About the team
The Selling Partner Shared Services team, within CSPE, focuses on improving the Selling Partner product listing experience across our Seller and Vendor desktop, mobile and API experiences. We do this through experience consolidation, driving consistency across the Selling Partners experience, and developing new experiences to help our Selling Partners sell successfully on Amazon.

Basic Qualifications

  • Bachelor's degree
  • Experience owning/driving roadmap strategy and definition
  • Experience with feature delivery and tradeoffs of a product
  • Experience contributing to engineering discussions around technology decisions and strategy related to a product
  • Experience managing technical products or online services
  • Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning

Preferred Qualifications

  • Experience in using analytical tools, such as Tableau, Qlikview, Quick Sight
  • Experience in building and driving adoption of new tools
  • Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
  • Experience identifying opportunities to integrate AI solutions into products and services to drive business value

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, AZ, Tempe - 151,200.00 - 204,600.00 USD annually
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually

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关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

10条评价

3.4

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.0

职业发展

3.8

管理层

2.7

65%

推荐率

优点

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

缺点

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

薪资范围

4个数据点

Junior/L3

M3

M4

M5

M6

Mid/L4

Senior/L5

Staff/L6

VP

Director

Junior/L3 · Product Manager L5

0份报告

$187,921

年薪总额

基本工资

-

股票

-

奖金

-

$159,732

$216,110

面试评价

6条评价

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 17%

负面 83%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge