Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI/ML sales strategies and drive customer adoption across the UK.
- Company: Join Amazon Web Services, a leader in innovative technology solutions.
- Benefits: Competitive salary, travel opportunities, and a culture of continuous learning.
- Why this job: Be at the forefront of AI transformation and make a real impact on businesses.
- Qualifications: Experience in AI/ML sales and strong communication skills required.
- Other info: Diverse experiences welcomed; your career growth is in your hands.
The predicted salary is between 36000 - 60000 ÂŁ per year.
GenAI/ML Sales Specialist – UKI AI Specialist Team
Amazon Web Services (AWS) invites you to join as a GenAI/ML Sales Specialist for the 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?
AWS is seeking an exceptional sales and business development leader specialized in AI/ML solutions for enterprise customers across the United Kingdom.
Key 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 requires traveling up to 50% (local / international).
A day in the life
You’ll be surrounded by innovation, empowered with ownership, and encouraged to use your voice. Your experience and career development are in your hands. Amazon lives our leadership principles every day – it’s always \”Day 1\”.
About the team
Amazon values diverse experiences. Even if you do not meet all preferred qualifications, 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.
Basic Qualifications
- Experience selling AI/ML solutions.
- Experience communicating complex business concepts in verbal and written form.
- Bachelor’s degree.
- 5+ 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.
- Extensive domain knowledge of AI from a business level perspective.
- Experience in account management with solution sales skills and product management experience.
- Experience working with data scientists, AI developers and machine learning professionals.
Preferred Qualifications
- Experience in a start‑up or technology company.
- Experience presenting to both technical and non‑technical executive audiences.
- Experience in a client‑facing consultative role working with large, complex enterprise customers.
- Experience with AWS AI/ML services (SageMaker, Bedrock, Amazon Q, etc.).
Equal Opportunity Statement
Amazon is an equal opportunities employer. We make recruiting decisions based on your experience and skills. Amazon values 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 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.
#J-18808-Ljbffr
GenAI/ML Sales Specialist, UKI AI Specialist Team employer: Amazon Web Services (AWS)
Contact Detail:
Amazon Web Services (AWS) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI/ML Sales Specialist, UKI AI Specialist Team
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI/ML space. Attend industry events, webinars, or even local meetups. The more you engage, the better your chances of landing that dream job!
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can highlight your projects, achievements, and any relevant case studies. This will help you stand out and demonstrate your skills to potential employers.
✨Tip Number 3
Prepare for those interviews! Research common questions for sales roles in AI/ML and practice your responses. Be ready to discuss how you've helped clients solve problems and drive adoption of tech solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you on board!
We think you need these skills to ace GenAI/ML Sales Specialist, UKI AI Specialist Team
Some tips for your application 🫡
Show Your Passion for AI/ML: Make sure to express your enthusiasm for Generative AI and Machine Learning in your application. We want to see how you can help UK enterprises transform their businesses with these technologies!
Tailor Your Application: Customise your CV and cover letter to highlight your experience in selling AI/ML solutions. We love seeing how your skills align with the specific needs of our team and the role.
Communicate Clearly: Since you'll be dealing with complex business concepts, ensure your written application is clear and concise. We appreciate candidates who can articulate their thoughts effectively, both in writing and verbally.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and get the ball rolling on your journey with StudySmarter.
How to prepare for a job interview at Amazon Web Services (AWS)
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends and technologies in Generative AI and Machine Learning. Be ready to discuss how these solutions can transform businesses, especially in the UK market. This will show your passion and expertise, which is crucial for building trust with potential clients.
✨Craft Compelling Value Propositions
Prepare to articulate clear and compelling value propositions that address specific customer needs. Think about how AWS GenAI solutions can solve real business problems and be ready to present ROI cases that resonate with executives and decision-makers.
✨Showcase Your Soft Skills
Since this role involves building relationships with C-suite leaders and technical teams, highlight your soft skills during the interview. Share examples of how you've successfully collaborated with diverse teams or navigated complex sales processes to demonstrate your ability to connect with various stakeholders.
✨Be Ready to Discuss Market Expansion
Think about potential new customer segments and Gen AI use cases that could benefit from AWS solutions. Be prepared to share your insights on market trends and how you would spearhead expansion efforts. This shows your strategic thinking and understanding of the competitive landscape.
