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职位Amazon

Product Marketing Manager, Fashion & Fitness

Amazon

Product Marketing Manager, Fashion & Fitness

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

3w ago

We are seeking a talented, highly motivated, business development leader to engage with onsite marketing teams and F2 special projects to drive visibility and adoption of F2 products on Amazon. This role will be responsible for directly managing content campaigns, talent partnerships and representing the needs of these partners across our department. This role will also be highly focused on translating IRL events onsite, thus experience working with onsite marketing leads is a plus. As an F2 Special Projects Manager for Amazon Fashion, Sports and Outdoors, you will influence and build upon the success we have had with existing properties and talent to drive revenue, new customers and collaborative opportunities with Amazon’s strategic businesses and programs (ex. AWS, Ads). Using your deep knowledge of talent partnerships and social campaigns and a solution-oriented mindset you will collaborate with and influence our product teams to develop innovative integrations which help unlock new opportunities for Amazon.

Key job responsibilities

Own Content Strategy and Execution:

Develop and execute integrated content campaigns that drive measurable revenue growth and new customer acquisition across Fashion, Sports, and Outdoors. Define campaign objectives, success metrics, and optimization strategies. Deliver quarterly business reviews demonstrating ROI and impact on key business metrics.

Build and Scale Talent Partnerships:

Source, negotiate, and activate strategic talent partnerships that expand F2's reach into new customer segments. Own the full partnership lifecycle from identification through contract execution and performance measurement. Establish repeatable frameworks for evaluating partnership opportunities and measuring creator impact.

Translate Physical Events to Digital Experiences:

Design and implement strategies that convert IRL event momentum into sustained onsite engagement. Partner with marketing leads to create integrated experiences that bridge physical and digital touchpoints. Own the measurement framework that connects event participation to customer behavior and sales.

Drive Cross-Business Revenue Opportunities:

Identify and close collaborative deals with AWS, Ads, and other strategic Amazon businesses. Build business cases that demonstrate mutual value creation. Own relationship management and quarterly goal-setting with partner teams.

Influence Product Roadmap:

Advocate for partner and customer needs in product development discussions. Propose and pressure-test new integration concepts that unlock revenue opportunities. Translate market insights into actionable product requirements that drive adoption.

Basic Qualifications

  • 5+ 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
  • Bachelor's degree or equivalent

Preferred Qualifications

  • Experience managing external partners to develop marketing programs
  • Experience presenting ideas to various levels of an organization to gain support for initiatives
  • Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices
  • Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences

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 City - 120,000.00 - 179,600.00 USD annually
USA, NY, New york city - 120,000.00 - 179,600.00 USD annually
USA, WA, SEATTLE - 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