It jobs in Germany

DESCRIPTION

Are you passionate about helping UK enterprises transform their businesses through Generative AI and Machine Learning? Do you love building new strategic and data-driven businesses? Do you want to join AI Specialty sales organization, one of the fastest-growing organizations within AWS? Join the UKI AWS Specialists organization as a Generative AI and Machine Learning Specialist Seller!

AWS is seeking an exceptional sales and business development leader specializing in AI/ML solutions for enterprise customers across the United Kingdom.

Key job responsibilities

1. Lead the AWS AI Business for your assigned verticals and sub-industries, across UKI.
2. Accelerate customer adoption by defining and implementing domain specific GTM and Sales strategies within your assigned sub-verticals, leveraging AWS Sales and our partner ecosystem.
3. Build Trust with Executives, Data Science, Developers, Line of Business and C-suite leaders, building trust with your soft skills and technical expertise, and following through to help solve their most compelling business problems.
4. Develop and deliver compelling ROI and business cases to drive adoption of AWS Gen AI solutions.
5. Act as the front line within your accounts for all specialist customer engagement in your tech domain.
6. Create & articulate compelling value propositions that address specific needs of your customers.
7. Build and innovate: Co-Develop GTM motions on new product launches and work with product teams on the creation of innovative new services.
8. Partner with the world's biggest system integrators, FM Developers to deliver on customer projects.
9. Spearhead market expansion by pinpointing new customer segments and Gen AI use cases.
10. Collaborate cross-functionally to continuously strengthen AWS's Gen AI value proposition.
11. Gather voice-of-customer insights to inform product roadmaps and enhance the customer experience.
12. Drive sales efforts spanning multiple lines of business with decision-making authority and budget ownership.
13. Role requires traveling up to 50% (local / international).

A day in the life

You're surrounded by innovation. You're empowered with a lot of ownership. Your growth is accelerated. The work is challenging. You have a voice here and are encouraged to use it. Your experience and career development is in your hands. We live our leadership principles every day. At Amazon, it's always "Day 1".

About the team

Diverse Experiences
Amazon 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.

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.

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 and 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.

BASIC QUALIFICATIONS

1. 7+ years of direct sales, pre-sales or business development in software, cloud or SaaS markets selling to senior stakeholders and/or C-level executives or equivalent.
2. Experience in account management with solution Sales skills, product management experience.
3. Experience working with Data Scientists, AI Developers and Machine Learning professionals.
4. 2+ years of AI sales or business development.
5. Extensive Domain knowledge of AI from a business level perspective.
6. Bachelor's degree.

PREFERRED QUALIFICATIONS

1. Experience with AWS AI/ML services (SageMaker, Bedrock, CodeWhisperer, etc.).
2. Entrepreneurship / startup experience.
3. Experience speaking at conferences and events.
4. Experience in consulting or working for large, complex organizations.

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. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.