Sr. GTM Specialist, Self-Managed AI/ML, WWSO Startup EMEA, WWSO Startup EMEA

Sr. GTM Specialist, Self-Managed AI/ML, WWSO Startup EMEA

DESCRIPTION
Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Startup 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) Startup team 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 from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work 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. 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.

The WWSO Startup team is 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' Accelerated Computing portfolio (i.e. HPC, AIML, big data), 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.

Roles/Responsibilities:

1. 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.
2. Become a trusted advisor within customer accounts through Technical Thought Leadership.
3. Develop and deploy programs that leverage AWS Field Solution Architect teams, as well as technology and consulting partner channels.
4. Collaborate with AWS Product and Technical teams to create solutions that solve customer problems, including reference architectures, patterns, automation, and release plans.
5. 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.

Travel Requirement: This role requires 40%- 50% of travel to AWS office and customer sites. It is subject to change by Amazon until further notice.

BASIC QUALIFICATIONS

1. Experience in design, implementation, or consulting in applications and infrastructures.
2. Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
3. Bachelor's degree.
4. Relevant experience with management of technical, customer-facing resources.
5. Relevant technical experience in High Performance Computing, AI/ML, Math, Quantum Information Systems and Technologies, or similar accelerated computing technologies.

PREFERRED QUALIFICATIONS

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

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.