GenAI Sales Specialist, AWS Specialists Team

Amazon is hiring a GenAI Sales Specialist, AWS Specialists Team in Courbevoie, France. Level rates it ; you can apply on Amazon.

Level's read on this job

Works on AI ●●●○ is how Level rates this sales role: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Bedrock, SageMaker and AWS.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Drive enterprise sales and customer adoption of AWS Generative AI and machine learning solutions across France.

BedrockSageMakerAWSGenerative AI

salesb2b-salescloud-computingmachine-learning

Are you passionate about helping France's enterprises transform their businesses through AI/ML and Generative AI? Do you love building new, strategic, data-driven businesses? Do you want to join the AI Specialty Sales organization — one of the fastest-growing teams within AWS? Join the AWS France Specialists organization as a Generative AI and Machine Learning Specialist Seller.

AWS is seeking an exceptional Sales Specialist in AI/ML solutions for enterprise customers across France. AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.

Key job responsibilities
- Lead the AWS AI Business for your assigned verticals and sub-industries, across France.
- Accelerate customer adoption by defining and implementing domain specific Sales strategies within your assigned sub-verticals, leveraging AWS Sales and our partner ecosystem.
- Build Trust with Executives, Data Scientistes, 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 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 system integrators, 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.

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.

Basic qualifications

- Experience in sales/business development
- Experience in account management with solution sales skills and product management.
- Experience working with Data Scientists, AI Developers and Machine Learning professionals.
- 2+ years of experience selling AI/ML solutions or in AI-focused business development
- Extensive domain knowledge of AI from a business-level perspective

Preferred qualifications

- Experience communicating with a wide range of stakeholders, including peers and leadership
- Bachelor's degree, or Master's degree
- Experience with AWS AI/ML services (SageMaker, Bedrock, Q for Business, Q for Dev etc.)
- Experience in consulting or working for large, complex organizations

Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.

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.

How we rate this

GenAI Sales Specialist, AWS Specialists Team at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

GenAI Sales Specialist, AWS Specialists Team is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in FR, Courbevoie.
The job was posted on July 29, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

SalesB2b SalesCloud ComputingMachine learningBedrockSageMakerAWSGenerative AI

Also common in sales jobs at this level

AI agents LLM Azure Google Cloud Python RAG

Pay

Typical sales job: $140k

This posting doesn't list pay. Use the typical sales figure when pay comes up. See sales jobs

Questions you could be asked

Tell me about a project where sales was part of your work. What did you do?
Tell me about a project where b2b sales was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Walk me through how you've used Bedrock in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Sales, B2b Sales, Cloud Computing, Machine learning, and Bedrock. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker