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Posted 11 hours ago
Hyperscalers & Commercial Lead
Articul8Hyperscalers & Commercial Lead
Requirements
Bachelor's degree in CS, Engineering, or Business, 10+ years technology leadership experience, AI/hi-tech industry experience, Startup scaling experience, SaaS deal closing experience, Technical sales expertise, Understanding of GenAI and ML
Skills
generative AISaaSMachine Learning
About the role
Responsibilities
- Lead pre-sales activities including product demonstrations, technical deep dives, and scale pilots
- Drive enterprise market growth through strategic partnerships and lighthouse customers
- Manage the end-to-end sales process from lead qualification to contract negotiation and deal closure
- Serve as the primary point of contact and trusted advisor for assigned enterprise accounts
- Develop technical partnerships with hyperscalers (AWS, Azure, GCP), technology players (Nvidia, Intel), and system integrators
- Collaborate with product and engineering teams to provide customer feedback for product development
- Influence C-level executives to accelerate GenAI adoption
- Manage legal requirements including NDAs, MoUs, and SoWs
Requirements
- Bachelor's degree in Computer Science, Engineering, Business Administration, or a related field
- 10+ years of experience in customer-facing technology leadership roles within the AI or hi-tech industry
- Experience working in startup environments and scaling businesses
- Proven track record of closing multi-million dollar SaaS deals
- Experience with technical sales and partner enablement
- Strong understanding of AI and machine learning concepts, including GenAI
- Strong analytical and problem-solving skills
Preferred Qualifications
- Master's degree in a relevant technical or business field
- Deep knowledge of industry-specific GenAI trends and challenges
- Pricing expertise for SaaS and enterprise software products
- Experience with Enterprise Appliance products such as the Nvidia DGX Platform
About the Company
Articul8 provides a Generative AI platform designed for regulated industries, combining domain-specific models, autonomous agentic reasoning, and reliable model evaluation to meet high-stakes accuracy and auditability standards.
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Articul8 · Dublin
