Jobs

Sr. Product Marketing Manager, IES Lifecycle Experiences
Bengaluru, KA, IND
·
On-site
·
Full-time
·
1mo ago
Required skills
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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About 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+
Employees
Seattle
Headquarters
$1.5T
Valuation
Reviews
2.9
10 reviews
Work-life balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
4 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total per year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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