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Basic qualifications
• Bachelor's degree
• 7+ years of relevant GTM, Sales, or Consulting experience
• 5+ years of Storage experiencePreferred qualifications
• Exceptional interpersonal and communication (both written and verbal) skills.
• Experience communicating with both technical and non-technical stakeholders across multiple teams, as well as internal and external executive stakeholders. ·
• Established track record of credibility as a technology advisor with customer executives (e.g. CEO, COO, CIO, CTO, CMO) and Line of Business Leaders.
• Experience and success in negotiating complex deals with customers and partners.
• Experience in a heavily matrixed sales environment, including developing, implementing, managing, and executing go-to-market growth initiatives and sales motions.
• Deep understanding of cloud technologies, including public and hybrid cloud platforms.
• Technical background in engineering, computer science, or MIS a plus.
Key job responsibilities
- Thought Leadership – Evangelize AWS Storage services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.- Customer Advisor- Implement, and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers and with the academic community.
About the team
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.Why AWS
Work/Life BalanceMentorship 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.
- 7 years of design, implementation, or consulting in applications and infrastructures experience
- 5+ years management of technical, customer facing resources
- 5 years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
- - 5+ years of infrastructure architecture, database architecture and networking experience
- - Experience working with end user or developer communities
- - Experience managing data pipelines
- - Experience as a leader and mentor on a data science team
- - Active in the open source community, such as HuggingFace, StableDiffusion, etc
- - Large models pretrain/fine-tuning experience, familiar with distributed training
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