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Amazon
Amazon

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Marketing Manager, Amazon Ads (IN2WW)

직무마케팅
경력리드급
위치Bengaluru, KA, India
근무오피스 출근
고용정규직
게시1개월 전
지원하기

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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전체 지원 클릭

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전체 Mock Apply

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전체 스크랩

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Amazon 소개

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+

직원 수

Seattle

본사 위치

$1.5T

기업 가치

리뷰

10개 리뷰

3.4

10개 리뷰

워라밸

2.5

보상

4.2

문화

3.0

커리어

3.8

경영진

2.7

65%

지인 추천률

장점

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

단점

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

연봉 정보

4개 데이터

L2

L6

L3

L4

L5

L2 · Marketing L2

0개 리포트

$127,325

총 연봉

기본급

$50,930

주식

$63,663

보너스

$12,733

$89,128

$165,523

면접 후기

후기 6개

난이도

4.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 17%

부정 83%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge