Generative AI Sales Specialist - Benelux
AWS is seeking an experienced GenAI Sales Specialist to lead and expand business with strategic customers in the Benelux region. You will build and maintain broad relationships in accounts, develop and manage opportunities, and lead a large virtual team of extended resources.
Key Responsibilities
- Lead the AWS AI Business for assigned verticals and sub-industries in the Benelux region
- Accelerate customer adoption by defining and implementing domain-specific sales strategies within assigned sub-verticals, leveraging the AWS Sales and partner ecosystem
- Build trust with executives, data scientists, developers, line-of-business leaders, and C-suite through soft skills and technical expertise
- Develop and deliver compelling ROI and business cases to drive adoption of AWS GenAI solutions
- Act as the front line within accounts for all specialist customer engagement in your domain
- Create and articulate compelling value propositions that address specific customer needs
- Co-develop GTM strategies for new product launches and work with product teams on innovative new services
- Partner with systems integrators and developers to deliver on customer projects
- Spearhead market expansion by identifying new customer segments and GenAI use cases
- Collaborate cross-functionally to strengthen AWS's GenAI value proposition
- Gather voice-of-customer insights to inform product roadmaps and enhance customer experience
- Drive sales efforts spanning multiple lines of business with decision-making authority and budget ownership
A Day in the Life
As a GenAI Specialist Seller, you'll lead technical discovery to map customer challenges to the right GenAI architectures—foundation models, RAG, fine-tuning, and agentic patterns. You'll partner with solutions architects to scope and orchestrate proofs of concept on services like Amazon Bedrock and SageMaker, guiding customers through model selection, prompt engineering, and evaluation. You'll address inference cost, latency, security, and responsible-AI considerations, and translate technical validation into production adoption plans. This includes running architecture deep-dives, advising on data readiness and integration, engaging technical decision-makers, and sharing field insights that shape GenAI go-to-market strategy.