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As an AI Field Enablement Program Manager within WWFE, you will lead the strategic design and execution of global AI enablement programs. This role places you at the intersection of AI technology and sales enablement, where you'll orchestrate complex, cross-functional initiatives that empower thousands of field professionals to effectively communicate AWS's AI value proposition to customers worldwide.
You will partner with global stakeholders, subject matter experts, content strategists, and multimedia learning experience designers to build comprehensive enablement frameworks that translate rapidly evolving AI capabilities into actionable field readiness. This position requires driving operational excellence, establishing quality assurance standards, and implementing best practices that directly impact AWS's ability to capture AI market opportunities and deliver customer success at scale.
Key job responsibilities
- 1. Lead Strategic Design and Execution of Global AI Enablement Programs
- Orchestrate complex, cross-functional initiatives that empower thousands of field professionals worldwide to effectively communicate AWS's AI value proposition to customers, ensuring programs directly impact AWS's ability to capture AI market opportunities.
- 2.
Build Comprehensive Enablement Frameworks:
- Partner with global stakeholders, subject matter experts, content strategists, and multimedia learning experience designers to translate rapidly evolving AI capabilities into actionable field readiness materials and training programs.
- 3.
Drive Operational Excellence and Quality Assurance:
- Establish and maintain quality assurance standards, implement best practices, and ensure consistent delivery of enablement content that meets enterprise-scale requirements across global field teams.
- 4.
Enable Field Teams on AI Solution Articulation:
- Shape how AWS field teams understand, articulate, and sell AI solutions by creating frameworks that bridge the gap between AI technology and practical customer-facing applications.
- 5.
Manage Cross-Functional Stakeholder Relationships:
- Coordinate with global stakeholders across multiple functions to ensure alignment on AI enablement priorities, content development, and program execution that supports AWS's continued leadership in the AI era.
A day in the life
A typical day in the life of an AI Field Enablement Program Manager at AWS begins with strategic coordination across global time zones, connecting with stakeholders from product teams, content developers, and field leadership to align on the latest AI capability releases and enablement priorities. The morning might involve reviewing quality metrics from recently deployed training programs while simultaneously collaborating with subject matter experts to translate complex AI innovations into digestible enablement content that thousands of field professionals can immediately apply in customer conversations. Mid-day often brings cross-functional program reviews. The afternoon typically shifts to operational execution. The day closes with strategic planning sessions.
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
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.
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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & 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.
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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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.
Basic Qualifications
- 3+ years of program or project management experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- Experience using data and metrics to determine and drive improvements
- Experience working cross functionally with tech and non-tech teams
- PMP
Preferred Qualifications
- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- 3+ years of driving process improvements experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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, VA, Arlington - 74,200.00 - 129,800.00 USD annually
USA, WA, Seattle - 82,700.00 - 129,800.00 USD annually
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応募クリック数
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模擬応募者数
0
スクラップ
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Amazonについて

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+
従業員数
Seattle
本社所在地
$1.5T
企業価値
レビュー
3.4
10件のレビュー
ワークライフバランス
2.5
報酬
4.2
企業文化
3.0
キャリア
3.8
経営陣
2.7
65%
友人に勧める
良い点
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
改善点
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
給与レンジ
4件のデータ
Junior/L3
M3
M4
M5
M6
Mid/L4
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Product Manager L5
0件のレポート
$187,921
年収総額
基本給
-
ストック
-
ボーナス
-
$159,732
$216,110
面接体験
6件の面接
難易度
4.0
/ 5
期間
21-35週間
体験
ポジティブ 0%
普通 17%
ネガティブ 83%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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