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Marketing Manager, Amazon Ads (IN2WW)

RoleMarketing
LevelLead
LocationBengaluru, KA, India
WorkOn-site
TypeFull-time
Posted1 month ago
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We are looking for a builder who can Think Big and Invent & Simplify to design and scale the advertiser lifecycle and customer insights engine for Amazon Ads within Global Selling.

This role will serve as the Advertiser Lifecycle & Customer Insights Lead, acting as the voice of the advertiser within the marketing organization and owning Amazon Ads’ lifecycle engagement strategy across both first-party (1P) and third-party (3P) communication channels.

The role will build and scale a lifecycle marketing engine that engages advertisers across their journey—from onboarding and education to feature adoption and long-term growth.

A key focus will be maximizing the strategic use of Amazon’s high-intent advertiser touchpoints, including Seller Central, the Amazon Ads Console, in-product messaging, and Amazon-owned email, as well as external channels such as Whats App, Telegram, and other messaging platforms.

In addition, this role will lead go-to-market strategy for new Amazon Ads capabilities and establish a structured advertiser insights engine that translates advertiser behavior, adoption trends, and field feedback into actionable marketing and product insights.

Operating at the intersection of marketing, product, and customer insights, this high-impact role will work closely with Global Selling leadership, Amazon Ads product teams, and regional marketing teams to drive advertiser engagement, feature adoption, and long-term growth across the cross-border seller ecosystem.

Key job responsibilities
Own Advertiser Lifecycle Strategy: Design and scale lifecycle engagement across 1P and 3P channels (Seller Central, Ads Console, email, Whats App, Telegram) to drive advertiser education, feature adoption, and retention.

Lead GTM for Amazon Ads Features: Partner with product teams to launch new Ads capabilities, defining target segments, messaging, and lifecycle campaigns that accelerate adoption.

Build the Advertiser Insights Engine: Analyze console behavior, feature adoption trends, and seller feedback to generate actionable insights that inform marketing and product decisions.

Act as the Voice of the Advertiser: Represent advertiser needs within marketing and product discussions, ensuring programs are grounded in real advertiser workflows and challenges.

Basic Qualifications

  • Experience in product marketing, program management, or business development

Preferred Qualifications

  • 4+ years of designing, building, and launching successful email engagement programs, specifically lifecycle/nurture programs experience

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

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+

Employees

Seattle

Headquarters

$1.5T

Valuation

Reviews

10 reviews

3.4

10 reviews

Work-life balance

2.5

Compensation

4.2

Culture

3.0

Career

3.8

Management

2.7

65%

Recommend to a friend

Pros

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

Cons

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

Salary Ranges

4 data points

L2

L6

L3

L4

L5

L2 · Marketing L2

0 reports

$127,325

total per year

Base

$50,930

Stock

$63,663

Bonus

$12,733

$89,128

$165,523

Interview experience

6 interviews

Difficulty

4.0

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 17%

Negative 83%

Interview process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge