招聘

Sr. Product Marketing Manager, IES Lifecycle Experiences
Bengaluru, KA, IND
·
On-site
·
Full-time
·
1mo ago
必备技能
Go
As a Product Marketing Manager on the Lifecycle Experiences team, you will own go-to-market strategy for our product suite and customer engagement programs. You will translate customer insights and lifecycle data into compelling, localized marketing strategies that drive measurable outcomes. You'll work cross-functionally with product, tech, retail, and regional teams to design, launch, and optimize programs at scale.
This is a high-visibility, high-impact role for someone who thrives in ambiguity, thinks in customer journeys, and is energized by building experiences customers love.
- Key job responsibilities
- Own the lifecycle marketing strategy
- Develop and execute localized go-to-market plans for new programs, features, and seasonal campaigns - balancing global frameworks with local nuance
- Partner with product and tech teams to define customer segmentation, targeting logic, and personalization strategies that improve engagement and retention
- Analyze lifecycle funnel metrics, identify drop-off points, and design data-driven interventions to accelerate customer engagement
- Lead A/B testing and experimentation roadmaps to continuously optimize messaging, channels, and incentive structures
- Collaborate with regional retail, Prime, and category teams to align lifecycle programs with broader business priorities
- Build and present business reviews and program narratives to senior leadership, including WBR/MBR inputs and OP planning contributions
- Serve as the voice of the customer, bringing deep understanding to product and program decisions
About the team
The Lifecycle Experiences team is on a mission to deepen customer engagement across Amazon's fastest-growing marketplaces. We own the end-to-end customer lifecycle - from first purchase to habitual shopping - across India, Mexico, Brazil, Turkey, Saudi Arabia, UAE, Australia, Singapore, and South Africa. Our north star is moving customers from occasional buyers to loyal, high-frequency shoppers.
We build and scale programs including Gamified Experiences, Rewards, Promotions Orchestration, and Personalization - reaching millions of customers across our fast growing marketplaces. We operate at the intersection of product, marketing, and data science, and we move fast.
Basic Qualifications
- 6+ years of professional non-internship marketing experience
- Experience using data and metrics to drive improvements
- Experience building, executing and scaling cross-functional marketing programs
- Experience leading go-to-market for consumer software or hardware product launches
- Knowledge of analytics tools and web traffic reporting
- Bachelor's degree
Preferred Qualifications
- MBA
- Experience developing and executing on GTM strategies that are large in scope
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.
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关于Amazon

Amazon
PublicAmazon.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
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