Jobs
Compensation
$147,200 - $218,600
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Parental Leave
•Mental Health
•Flexible Hours
•Healthcare
•401k
•Equity
•Parental Leave
•Mental Health
•Flexible Hours
Required Skills
Product marketing
Cloud architecture
AI and machine learning knowledge
Customer engagement
Strategic thinking
Are you a tech-savvy storyteller who can translate complex AI solutions into compelling customer value? At AWS, we're seeking a AI Product Marketing Manager who can shape the future of cloud computing.
As the world's leading cloud and AI provider with 200+ services, AWS needs strategic thinkers who can connect the dots across our vast portfolio. In this role, you'll work backwards from customer needs to influence product strategy across AI including Amazon Sage Maker, and Amazon Bedrock.
We're looking for a unique blend of technologist and business strategist - someone who can dive deep into technical architecture while crafting portfolio-level value propositions that resonate with customers. You'll partner with product and GTM teams to identify our ideal customers, understand their priorities and use cases, shape our portfolio of offerings to address those use cases, synthesize market intelligence, and develop messaging that helps customers understand how AWS can transform their business.
If you thrive at the intersection of technology and business strategy and want to impact how organizations around the world leverage cloud computing and AI, this role is for you.
- Key job responsibilities
- Partner with product management and sales teams to develop product strategies in AI
- Create and own positioning and messaging that clearly articulates value propositions to customers
- Analyze and synthesize market data from multiple sources (including direct customer feedback) to identify product opportunities and shape portfolio strategy
- Lead product launch strategies and associated plans, including naming, target audience definition, and marketing vehicles
- Develop technical content including presentations, demonstrations, and reference architectures that educate customers on AWS' AI offerings in model training, model customization, MLOps, and Inference
- Represent AWS as a product evangelist in executive briefings, industry events, and analyst interactions
- Drive field enablement strategies to support product launches, campaigns, and customer success
- Aligns with technical and business leaders on AI use cases for their specific ideal customer profiles; defines best practice architecture and services for each use case
About the team
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture:
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and Amaze Con (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth:
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional
Basic Qualifications
- 6+ years experience working directly with customers on adoption of cloud-based products and services 6+ years working knowledge of cloud-based architectures in AI (Machine learning, Generative AI, Agentic AI) Bachelor's degree in Computer Science or similar field or equivalent experience
Preferred Qualifications
- 10+ years of cloud architecture and solution implementation experience
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
- 6+ years working knowledge of cloud-based architectures in one or more technical domains (ML, Generative AI, Agentic AI)
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.
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, Santa Clara - 161,900.00 - 218,600.00 USD annually
USA, MA, Boston - 147,200.00 - 198,700.00 USD annually
USA, NY, New York - 161,900.00 - 218,600.00 USD annually
USA, WA, Seattle - 147,200.00 - 198,700.00 USD annually
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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.
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Strong benefits package
Flexible scheduling options
Cons
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Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
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L5
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$108,330
total / year
Base
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Stock
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Bonus
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Interview Experience
10 interviews
Difficulty
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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
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Onsite/Virtual Loop
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Team Matching
7
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