GenAI/ML Sales Specialist, UKI AI Specialist Team

Amazon.com, Inc; City of Westminster; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading cloud services provider in the UK is seeking a Generative AI and Machine Learning Specialist Seller to lead AI business initiatives. In this role, you'll develop strategies for customer adoption, build relationships with executives, and drive the usage of AWS Gen AI solutions. Ideal candidates have a solid educational background, experience in sales, and a strong understanding of AI/ML technologies. This position will offer a dynamic work environment with opportunities for career growth.

Benefits

Flexible working culture

Mentorship programs

Inclusive team culture

Qualifications

• Experience in leadership or account management positions.
• Experience in direct field selling software or cloud solutions.
• Experience developing, deploying, and managing AI products at scale.

Responsibilities

• Lead the AWS AI Business for assigned verticals.
• Accelerate customer adoption of AWS Gen AI solutions.
• Create compelling value propositions addressing customer needs.

Skills

Leadership

Account management

Sales

AI/ML solutions

Presentation skills

Cloud platforms

Client-facing consultative role

Education

Bachelor's degree

Master's degree

PhD

Tools

AWS

SQL

NoSQL

Job 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!

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).

Day in the Life

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".

Qualifications and Experience

• Experience in leadership or account management positions
• Bachelor's degree
• Experience in direct field selling software or cloud solutions
• Experience selling AI/ML solutions
• Experience developing, deploying and managing AI products at scale
• Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
• Experience working effectively with science, data processing, and software engineering teams, Experience using managed ML/AI solutions
• Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open‑source projects, and/or version control systems
• Experience with presentations and speaking with executives, IT, management, and developers
• Experience in a client‑facing consultative role working with large, complex enterprise customers
• Master's degree, or a PhD and experience building machine learning models or developing algorithms for business application

Equal Opportunity

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 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.

Benefits and Culture

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.

Team Culture: 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.

Career Growth: 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.