Sr. Gtm Specialist Sa Ai/ml Genai Germany, Emea Gtm

vor 3 Wochen

München, Deutschland AWS EMEA SARL (Germany Branch) Vollzeit

5+ years management of technical, customer facing resources.
- 5+ years of experience with AI/ML or related technology domain.
- 5+ years of hands-on experience with building ML/data pipelines, data engineering, or similar technologies.
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.

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) AI/ML GenAI team as a GTM Specialist Solutions Architect
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.
EMEA Go-To-Market (GTM) Specialist Solutions Architecture team is looking for a Machine Learning (ML) practitioner, who will guide customers innovating, operationalizing and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. 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 business. This role helps customers providing GenAI/ML best practices, including techniques for responsible AI, model fine tuning, continued pre-training, PEFT, domain adaptation, model evaluation, mitigating hallucinations, prompt engineering, RAG, FM Ops, security, and other existing and emerging GenAI/ML related techniques. You will develop technical assets (reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement) that can be used by AWS teams, partners and customers to demonstrate Generative AI/ML capabilities nd how to operationalize their workloads. You will engage with AWS product teams to influence product roadmap and vision and accelerating the adoption of ML across customers in the region. In emerging areas, we play a critical role as the “first in” teams to build markets for new GenAI/ML services, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. You must have a deep understanding of Generative AI models, including their strengths, limitations, risk and evaluation techniques. You should have hands on Machine Learning experience to work directly with senior ML Engineers and Data Scientists at customers, partners and AWS service teams.
Key job responsibilities
- Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases.
- Provide advanced technical knowledge to your aligned GTM teams to unblock our customers’ largest and most critical business challenges.
- Along with your extended team, own the technical bar for specialist technical artifacts and standards.
- Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements.
- Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.

A day in the life
Diverse Experiences
Why AWS?
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.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. 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.
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.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is w

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