Sr. Mgr., GTM Spec SA GenAI/ML, EMEA GTM Data and AI Solutions Architecture

Are you a customer-obsessed builder with a passion for helping customers transforming their industries while achieving their full potential? Do you have the business savvy, Data and AI tech skills necessary to help position AWS as the best cloud provider of choice for their GenAI initiatives? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) EMEA GTM Specialist team as a Sr. Manager for GenAI/ML Specialists Solutions Architects!

Location: Paris

This position is part of the Amazon Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.


Key job responsibilities
As Senior Manager of EMEA GenAI/ML Specialist Solutions Architecture, you'll play a vital role in guiding innovative customers, while embracing change and adapting to the fast moving pace of the technology and the business. Your responsibilities include:
-Managing a team of GenAI/ML experts while ensuring team's well-being.
-Interacting and leading the team with engagement at the CxO/VP level, as well as developers and technical architects, to develop pipeline, secure lighthouse customers, drive top-line-revenue, and explore strategic partnerships.
-Developing and deploying sales/technical motions and programs that leverage Field Sales teams, as well as technology and consulting partner channels.
-Partnering with cross functional teams across Sales and Marketing.
-Collaborating with the Service and Technical teams to create solutions that solve customer problems, including reference architectures, patterns, automation, release plan.
-Developing strong relationships with strategic GenAI customers in EMEA.
-Guiding your team to find ways to scale tech knowledge via products, programs, and the AWS Field
-Capturing and sharinf best-practice knowledge amongst the AWS SA community
-Guiding and motivating the development of whitepapers, datasheets, and other high-value customer facing guidance and best practices
-Collaboration with AWS Senior Leadership

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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.

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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

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 why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

QUALIFICATIONS DE BASE
-10+ years of technology related customer facing roles.
-5+ years of management experience in technical roles.
-Experience with machine learning, AI, or GenAI/LLM as a practitioner.
QUALIFICATIONS APPRÉCIÉES

- Deep understanding of GenAI market landscape, tech ecosystem, and ability to articulate technology and value proposition

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