Sr. Specialist SA, AI, AWS WWSO GTM Specialists-APJ

About the role

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, GenAI background in the Startup space, and consulting 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) Startup team as a GTM Specialist Solutions Architect!

What you'll do

• Interact at the CxO/VP level, as well as with developers and technical architects, to ease adoption, develop pipeline, secure lighthouse customers, drive top-line revenue, and explore strategic partnerships.
• Become a trusted advisor within startup founders through Technical Thought Leadership and demonstrate AWS values.
• Develop and deploy programs that leverage AWS Field Solution Architect teams, as well as technology and consulting partner channels.
• Collaborate with AWS Product and Technical teams to create solutions that solve customer problems, including reference architectures, patterns, automation, and release plan.
• Guide and Support an AWS internal community of technical subject matter experts aligned to your domains. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.
• Build technical relationships with decision makers and builders with startups operating as their trusted advisor, ensuring they include best practices for adopting AWS AI services for their inferencing and agentic workloads.

Requirements

• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 3+ years of design, implementation, or consulting in applications and infrastructures experience
• 10+ years of IT development or implementation/consulting in the software or Internet industries experience
• 5+ years of management of technical, enterprise customer facing resources or equivalent experience
• 5+ years of building machine learning models or developing algorithms for business application experience
• 7+ years design/implementation/consulting experience of distributed applications

Preferred qualifications

• 5+ years of infrastructure architecture, database architecture and networking experience
• Experience working with end user or developer communities
• Startup background and experience at a VC or PE-backed firm in a Technical Executive capacity.
• Familiarity with open-source software used by Startups and working knowledge of software development tools and methodologies common to Startups.
• Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives and developers.
• Cloud expertise as demonstrated by one or more cloud certifications.
• Demonstrated ability to adapt to new technologies and learn quickly.
• Proficiency with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
• Advanced degree highly preferred such as engineering, computer science, or MIS a plus.

Benefits

자세한 사항은 홈페이지 참조