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职位Amazon

Product Marketing Manager, Alexa+ Lifecycle Marketing

Amazon

Product Marketing Manager, Alexa+ Lifecycle Marketing

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

1mo ago

Are you ready to shape the future of AI assistants and revolutionize how people interact with an AI across the web, app and devices? The Alexa+ Lifecycle Marketing team is seeking a Product Marketing Manager (PMM) to drive acquisition, engagement and retention for one of the world's most beloved assistants. We're looking for a dynamic leader who can leverage strategic marketing, cross-functional collaboration, and data-driven optimization to propel Alexa+ adoption and maximize customer lifetime value.

In this role, you'll bring compelling value propositions to life and design impactful campaigns that drive user growth across Amazon's owned marketing channels including email, Alexa App, Alexa.com and Amazon devices. You'll lead experimentation and A/B testing efforts to continually refine our marketing effectiveness, while collaborating closely with cross-functional teams to amplify our reach and impact. Join us in making Alexa+ an indispensable part of customers' lives.

  • Key job responsibilities
  • Develop and execute data-driven marketing strategies across owned channels to drive acquisition, activation, and retention
  • Own end-to-end campaign delivery—from strategy and creative development to execution, measurement, and optimization
  • Lead customer segmentation and targeting initiatives that unlock new growth opportunities and improve conversion
  • Design and oversee A/B testing and experimentation to continually refine our marketing effectiveness
  • Deliver actionable performance analytics and recommendations to leadership, translating complex data into clear insights
  • Balance competing priorities and manage trade-offs to deliver results in a fast-paced environment
  • Work closely with GTM and Advertising teams to ensure integrated campaign effectiveness

A day in the life
Your average day will be dynamic and you'll collaborate with Product, Business Intelligence, Creative, and peer marketing functions to create content, develop marketing programs, run experiments, track performance and share insights. One moment you might be analyzing customer cohort data to identify new targeting opportunities, the next you'll be reviewing creative assets for an email campaign, and later presenting campaign results and recommendations to senior leadership. You'll be both a strategic thinker and a hands-on executor, comfortable diving deep into data while keeping the big picture in view.

About the team
This role sits within the Alexa+ Lifecycle Marketing team, a dynamic group that drives acquisition and lifecycle growth for Alexa+, collaborating closely with Product, GTM and Advertising to create seamless, high-impact customer experiences. We are a diverse and collaborative team united by our mission to make Alexa+ an indispensable part of customers' lives. Our team celebrates experimentation and moves fast to capitalize on growth opportunities. We believe in customer obsession, diving deep into metrics, and delivering results that matter.

Basic Qualifications

  • 4+ years of professional non-internship marketing experience
  • Experience using data and metrics to drive improvements
  • Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)
  • Experience building, executing and scaling cross-functional programs or marketing campaigns from concept to completion
  • Experience managing and measuring marketing performance in various channels

Preferred Qualifications

  • Experience presenting ideas to various levels of an organization to gain support for initiatives
  • Experience with marketing-related AI tools and AI-workflows to increase efficiency and effectiveness

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, Bellevue - 109,100.00 - 160,000.00 USD annually
USA, WA, Seattle - 109,100.00 - 160,000.00 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

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge