GenAI/ML Senior Sales Specialist, UKI AI Specialist Team

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 organization 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
- Lead the AWS AI Business for your assigned verticals and sub-industries, across UKI.
- 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.
- 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.
- Develop and deliver compelling ROI and business cases to drive adoption of AWS Gen AI solutions.
- Act as the front line within your accounts for all specialist customer engagement in your tech domain.
- Create & articulate compelling value propositions that address specific needs of your customers.
- Build and innovate: Co-Develop GTM motions on new product launches and work with product teams on the creation of innovative new services.
- Partner with the world’s biggest system integrators, FM Developers to deliver on customer projects.
- Spearhead market expansion by pinpointing new customer segments and Gen AI use cases
- Collaborate cross-functionally to continuously strengthen AWS's Gen AI value proposition
- Gather voice-of-customer insights to inform product roadmaps and enhance the customer experience
- Drive sales efforts spanning multiple lines of business with decision-making authority and budget ownership.
- Role require 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

- 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+ years of GenAI/ML business development/Sales/GTM/ SA
- Extensive Domain knowledge of AI from a business level perspective
- Exceptional communication skills
- Experience in account management with solution Sales skills, product management experience.
- Experience working with Data Scientist, AI Developers and Machine Learning professionals.
- Bachelor's degree