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Sr. GTM Specialist Solutions Architect, Storage, Data

2 months ago


San Francisco CA, United States Amazon Web Services, Inc. Full time

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Data & AI background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data & AI GTM NAMER team as a GTM Specialist Solutions Architect At Amazon, we’ve been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience are driven by machine learning.
The Worldwide Specialist Organization (WWSO) works backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi- billion-dollar businesses. AWS is looking for a Storage Solution Architect, who will be the Subject Matter Expert (SME) for helping customers in designing solutions that leverage our AWS Storage services. As part of the GTM Specialist Solutions Architecture team, you will work closely with other Specialist Machine Learning Architects and Data/Storage architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for Data and AI/ML. You will interact with other Solution Architects in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage Data and AI/ML on Amazon Web Services. You will also create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services ML solutions into customer architectures. . A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of software vendors in the Storage space, and will leverage this knowledge to help Amazon Web Services customers in their selection process.
Candidates must have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovation.
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.
- Partner with SAs, Sales, Business Development, Storage and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements.
- Develop and support an AWS internal community of Storage related subject matter experts worldwide. Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.
- Customer Advisor- Implement, and deploy state of the art machine learning algorithms under Storage, Data and AI. You will interact closely with our customers and with the academic community.
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 Worldwide Specialist Organization (WWSO) works backwards from customers to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses, and pride themselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
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.
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.
When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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 AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. 7 years of design, implementation, or consulting in applications and infrastructures experience
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; 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. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.