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Come be a part of a rapidly expanding $35 billion dollar global business. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations reimagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes, unlocking our potential worldwide.
We are seeking a Digital Marketing Manager to lead Enterprise lead nurture execution across email, media, and alternative nurture channels at Amazon Business. This role will be responsible for designing and implementing sophisticated multi-channel nurture campaigns that generate qualified pipeline opportunities and drive customer engagement throughout the buyer journey. The ideal candidate will have deep expertise in marketing automation, data-driven campaign optimization, and cross-channel orchestration to accelerate enterprise customer acquisition and revenue growth.
- Key job responsibilities
- Design and execute comprehensive lead nurture strategies across email, paid media, and emerging channels to generate qualified pipeline opportunities and drive revenue growth for Enterprise
- Develop segmentation frameworks and personalization strategies that deliver relevant, timely content to prospects based on behavior, firmographics, and engagement signals
- Build and optimize automated nurture workflows using marketing automation platforms, ensuring seamless customer experiences across the full funnel
- Collaborate with content, product marketing, and sales teams to create compelling nurture assets that address customer pain points and accelerate buying decisions
- Establish measurement frameworks and KPIs to track nurture performance, conducting regular analysis to identify optimization opportunities and scale winning strategies
- Manage nurture campaign calendar, budget allocation across channels, and vendor relationships to ensure efficient execution and maximum ROI
- Stay current on marketing technology trends, testing innovative nurture tactics and channels to maintain competitive advantage in B2B customer engagement
Basic Qualifications
- 2+ years of professional non-internship marketing experience
- 1+ years of Salesforce, Tableau, Vidyard, and Excel experience
- 1+ years of designing, building, and launching successful email engagement programs, specifically lifecycle/nurture programs experience
- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)
Preferred Qualifications
- Experience working with a major brand or entertainment company in project/production management
- Experience in e-commerce, start ups, advertising, commercial
- Experience using data visualization tools
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
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
2 data points
L2
L3
L4
L5
L6
L2 · Marketing L2
0 reports
$127,325
total / year
Base
$50,930
Stock
$63,663
Bonus
$12,733
$89,128
$165,523
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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