Sr. GTM Specialist Solutions Architect, Storage, ENT, Data & AI GTM

$138,200 - $239,000/Yr

Amazon - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Sr. GTM Specialist Solutions Architect for Storage, Data & AI at AWS is responsible for driving customer adoption of AWS Storage services by leveraging their technical expertise and business acumen. This role involves collaborating with various teams to develop go-to-market strategies, providing technical guidance, and creating enablement materials to support AWS's mission of delivering exceptional results for customers. The position requires a strong background in machine learning and data architecture, as well as excellent communication skills to engage with customers and stakeholders effectively.

Responsibilities

• Evangelize AWS Storage services and share best practices through forums such as AWS blogs, white-papers, and public-speaking events.
• Partner with SAs, Sales, Business Development, Storage, and AI/ML Service teams to accelerate customer adoption and provide guidance on customer engagements.
• Act as a technical liaison between customers and AWS Storage services teams to provide customer-driven product improvement feedback.
• 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 integrate AWS GenAI solutions into customer architectures.
• Implement and deploy state-of-the-art machine learning algorithms under Storage, Data, and AI, building prototypes and exploring new solutions.

Requirements

• 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 experience (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).

Nice-to-haves

• 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.

Benefits

• Mentorship & Career Growth
• Work/Life Balance
• Inclusive Team Culture
• Diverse Experiences