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Amazon
Amazon

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Senior Product Manager - Tech, Selling Partner Services

직무프로덕트
경력시니어급
위치Tempe, Azerbaijan, United States
근무오피스 출근
고용정규직
게시2주 전
지원하기
  • 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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Amazon 소개

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+

직원 수

Seattle

본사 위치

$1.5T

기업 가치

리뷰

10개 리뷰

3.4

10개 리뷰

워라밸

2.5

보상

4.2

문화

3.0

커리어

3.8

경영진

2.7

65%

지인 추천률

장점

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

단점

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

연봉 정보

4개 데이터

Junior/L3

M3

M4

M5

M6

Mid/L4

Senior/L5

Staff/L6

VP

Director

Junior/L3 · Product Manager L5

0개 리포트

$187,921

총 연봉

기본급

-

주식

-

보너스

-

$159,732

$216,110

면접 후기

후기 6개

난이도

4.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 17%

부정 83%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge