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트렌딩 기업

채용

채용Amazon

Sr. Tech Product Manager (PMT), Sales Optimization and Planning

Amazon

Sr. Tech Product Manager (PMT), Sales Optimization and Planning

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

3w ago

필수 스킬

Machine Learning

Amazon Devices is looking for a Senior Technical Product Manager to join the Axiom team within Demand Science Optimization (DSO). Axiom is the sales planning product used by Sales Leaders across Amazon Devices to plan and optimize pricing, promotions, and demand for product lines spanning Product Line Marketplaces across North America, Europe, and Japan.

You will own a product workstream end-to-end — from defining the vision and writing requirements, to working with engineering and science teams to ship features that directly impact how Amazon prices and plans for hundreds of millions of dollars in device sales. This role sits at the intersection of GenAI/ML, data platforms, pricing optimization, and UX — and you'll work daily with science, engineering, UX, and business stakeholders to build products that replace manual planning processes with intelligent, automated systems.

This is a high-visibility role. Your work will be reviewed by VP-level leadership, and the features you build will be used by Product Line leaders, Finance, and Supply Chain teams across Amazon Devices worldwide.

  • Key job responsibilities
  • Own a product workstream end-to-end: Define the product vision, write BRDs, PR/FAQs, and user stories. Drive prioritization, make trade-off decisions, and manage the roadmap for your area.
  • Partner with Science and Engineering: Work with applied scientists on pricing optimization models, demand forecasting, and ML-powered recommendation systems. Translate science model capabilities into product experiences that users trust and adopt.
  • Ship customer-facing features: Define and deliver features across the Axiom platform, including Homepage dashboards, planning workflows, price recommendation widgets, GenAI-powered insights, and data visualization tools.
  • Drive adoption and trust: Work directly with Sales Leaders and Product Line managers to understand their workflows, gather feedback, and iterate on features. Measure success through adoption metrics, time savings, and forecast accuracy improvements.
  • Collaborate across Amazon: Partner with Finance (Vista, Cerberus), Supply Chain (NEO), Forecasting (USF), and other DSO systems to ensure Axiom plans flow accurately to downstream consumers.
  • Leverage AI/ML and GenAI: Identify opportunities to apply generative AI, large language models, and machine learning to planning workflows — from automated summaries and anomaly detection to AI-driven price recommendations.
  • Communicate with leadership: Present product strategy, progress updates, and demos to Director and VP-level stakeholders. Write clear, concise documents in the Amazon narrative style.

Basic Qualifications

  • 5+ years of product or program management, product marketing, business development or technology experience
  • Bachelor's degree
  • Experience with feature delivery and tradeoffs of a product
  • Experience owning/driving roadmap strategy and definition
  • Experience with end to end product delivery
  • 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

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, WA, Seattle - 151,200.00 - 204,600.00 USD annually

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

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

2.9

10개 리뷰

워라밸

2.8

보상

3.7

문화

2.5

커리어

2.3

경영진

2.1

35%

친구에게 추천

장점

Good pay and compensation

Strong benefits package

Flexible scheduling options

단점

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

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 경험

10개 면접

난이도

3.7

/ 5

소요 기간

21-35주

합격률

20%

경험

긍정 10%

보통 10%

부정 80%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge