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Sr. Product Marketing Manager, Experimentation and CX, Content Marketing
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.
Our team is seeking a strategic, customer-obsessed Product Marketing Manager to own the experimentation and CX optimization across key onboarding and early-lifecycle engagement flows. This role sits at the intersection of Product, Marketing, and CX, with a focus on converting content-led acquisition into sustained engagement and higher-value actions (e.g., repeat visits, app adoption, deeper feature usage, and retention).
This role will diagnose funnel performance and customer journeys, identify friction and drop-off, and drive a prioritized roadmap of experiments and experience improvements in partnership with Product, Engineering, Design/UX, Analytics, and Marketing. The ideal candidate combines strong analytical rigor with excellent written narratives, can define testable hypotheses with clear success metrics, and influence roadmap decisions across multiple teams. This is a highly cross-functional role requiring strong judgment, crisp communication, and the ability to build mechanisms that scale learnings into repeatable playbooks.
Key job responsibilities
Key job responsibilities
- Own the experimentation roadmap across onboarding, content-to-engagement pathways, and early lifecycle behavior; define goals, metrics, and decision rules for tests
- Lead funnel and journey diagnostics (quant + qual) to identify customer friction, drop-off drivers, and highest-leverage opportunities to reduce one-and-done behavior
- Develop customer-informed hypotheses that connect specific experience changes to measurable outcomes (repeat visits, activation, app downloads, engagement depth, retention)
- Influence product and CX roadmaps by translating insights into clear requirements, trade-offs, and expected impact; partner with PM/Eng/UX to ship improvements
- Recommend the right interventions across product UX, messaging, personalization, and lifecycle programs (email/push/in-app) to improve conversion and long-term value
- Author and drive alignment through narratives (e.g., working backwards docs/PRFAQs, strategy docs) to secure stakeholder buy-in and resourcing
- Establish operating mechanisms (e.g., weekly funnel review, experiment intake/prioritization, post-test readouts) to increase experiment velocity and scale wins
- Communicate results and drive action: synthesize experiment outcomes into actionable recommendations; ensure learnings are adopted across teams and reflected in future roadmaps
- Build a scalable learning system (playbooks, dashboards, and knowledge base) that accelerates downstream engagement optimization over time
Basic Qualifications
- 8+ years of professional non-internship marketing experience
- Experience building, executing and scaling cross-functional marketing programs
- Experience presenting metrics and progress to goal to senior leadership
- Experience creating and managing complex, cross-team project plans
- Knowledge of analytics tools and web traffic reporting
- Experience communicating results to senior leadership
- Experience prior success in driving execution of large-scale project plans with multiple teams in support of business goals
- Experience using data and metrics to measure impact and determine improvements
- 6+ years of product marketing, growth marketing, lifecycle or product management experience with demonstrated ownership of experimentation roadmaps and funnel optimization
- 5+ years of experience defining and executing A/B tests or multivariate experiments with clear hypotheses, success metrics, statistical rigor, and interpreting results
- Experience analyzing customer journey data and behavioral metrics to diagnose friction points and prioritize high-impact interventions
- Proven ability to influence cross-functional product roadmaps through data-driven narratives and strategic recommendations
- Experience authoring strategy documents (e.g., PRFAQs, working backwards docs) that secure stakeholder alignment and drive resourcing decisions
- Demonstrated success translating customer insights into measurable business outcomes such as conversion rate improvement, retention lift, or engagement depth increases
- Experience driving Monthly Active Users (MAUs), engagement hours, or similar growth metrics at scale in competitive marketplace environments
- Experience partnering with Product, Engineering, UX/Design, and Analytics to ship experience improvements (not only campaigns)
- Bachelor’s degree or equivalent experience
Preferred Qualifications
- Experience with customer segmentation, profiling, and targeting
- Experience with A/B Testing or Multi-Variate Testing or both
- MBA, or Advanced degree
- 7+ years of product marketing or growth experience in consumer subscription services, streaming media, or digital entertainment platforms
- Experience establishing operating mechanisms (e.g., experiment intake frameworks, weekly funnel reviews, post-test readout processes) that increase team velocity and scale learnings
- Expertise in personalization strategies and lifecycle marketing programs (email, push, in-app messaging) that drive repeat engagement and long-term value
- Experience improving app adoption and retention through product-led and lifecycle-led interventions
- Demonstrated ability to build scalable knowledge systems (playbooks, dashboards, documentation) that accelerate optimization efforts across multiple teams
- Strong analytics fluency (segmentation/cohorts, funnel analysis, retention, LTV thinking); familiarity with common analytics/BI and experimentation tools
- Proven ability to operate independently in ambiguity, build mechanisms, and drive alignment across a broad stakeholder set
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Culver City - 142,800.00 - 193,200.00 USD annually
USA, CA, San Francisco - 157,100.00 - 212,600.00 USD annually
USA, NY, New York - 157,100.00 - 212,600.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
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Amazon 소개

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+
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 · Data Analyst L2
0개 리포트
$108,330
총 연봉
기본급
$43,332
주식
$54,165
보너스
$10,833
$75,831
$140,829
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
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