
Cloud Sales Executive
4 days ago
Requirements
• Identify, research, and qualify prospects focused on cloud technologies (AWS, Azure, GCP) and emerging areas such as AI/ML infrastructure, multi‑cloud, and hybrid solutions.
• Develop and drive targeted outbound campaigns using CRM (Salesforce, HubSpot, LinkedIn Sales Navigator) and email automation tools; ensure clean, accurate lead database and perform segmentation and nurture flows.
• Collaborate with Solution Architects and Engineering to translate cloud offerings—IaC (Terraform, CloudFormation), containerization (Docker, Kubernetes), serverless, AI/ML, cost‑optimization, and compliance—into compelling value propositions.
• Track, report, and analyze KPIs: qualified leads, conversion rates, lead data quality in CRM, campaign ROI, and cost per lead.
• Stay updated on cloud industry trends—AI integration, security regulations, vendor platforms, automation, and cost strategies—and refine messaging and positioning accordingly.
Required Skills, Education & Background
• Bachelor's degree in Business, Marketing, IT, Computer Science, or related field.
• 0-5 years' experience in lead generation or sales for IT / cloud / SaaS products within the software industry.
• Proficiency in cloud platforms (AWS, Azure, GCP); strong understanding of multi‑cloud, hybrid architectures, AI/ML infrastructure, cost optimization, and compliance/security principles.
• Familiarity with Infrastructure as Code (Terraform, CloudFormation), containerization, and serverless technologies.
• Solid experience with CRM systems (Salesforce, HubSpot, LinkedIn Sales Navigator) and email automation.
• Excellent written and verbal English; ability to articulate complex cloud concepts to non-technical stakeholders.
• Strong soft skills: self‑motivated, results‑driven, good listener, able to handle objections confidently, and adept at cross‑functional collaboration.
• Cloud certifications preferred (e.g., AWS Solutions Architect – Associate/Professional, Azure Solutions Architect, GCP Architect).
Benefits
• Volume and quality of qualified leads generated each month
• Lead-to-opportunity conversion rates
• Accuracy and completeness of CRM data
• Efficiency in building and maintaining a healthy sales pipeline for cloud services
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