Sr. Specialist SA, AI, AWS WWSO GTM Specialists-APJ
Amazon is hiring a Sr. Specialist SA, AI, AWS WWSO GTM Specialists-APJ in Seoul, South Korea. Level rates it ; you can apply on Level.
AI in this role
Drive go-to-market strategies and technical adoption for AWS AI and startup inferencing workloads as a GTM Specialist Solutions Architect.
The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth for Startups of all phases from seed to venture backed in series X. We work backwards from our customers’ most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
Key job responsibilities
- 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.
A day in the life
Learn more about being a Solutions Architect at Amazon Web Services: https://www.youtube.com/watch?v=Js21xKMFdww
About the team
The WWSO team helps customers adopt our newest and most advantageous technologies. We are technology specialists. The WWSO Startup team is a team dedicated to helping Startups scale quickly and cost-effectively on AWS. We want Startups to grow better when they choose AWS and we make it easier by recommending the right technologies and then by helping Startups get up and running quickly.
This position specifically is part of the WWSO Startup team, where you will be a Specialist Solution Architect that helps Startups adopt AWS’ technologies with a focus on GenAI, among others. You will 1/Be the best storytellers and technologists, 2/Work with the most promising Startups, 3/Scale tech knowledge via products, programs, and the AWS Field, and 4/Gather critical Startup feedback to inform our product roadmaps.
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.
Basic qualifications
- 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.
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.
How we rate this
Sr. Specialist SA, AI, AWS WWSO GTM Specialists-APJ at Amazon rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where solutions architecture was part of your work. What did you do?
- Tell me about a project where genai was part of your work. What did you do?
- Tell me about a project where go to market was part of your work. What did you do?
- Tell me about a project where startup advising was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Solutions Architecture, Genai, Go To Market, Startup Advising, and Cloud Computing. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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