
AI Sales Engineer
Posted 10 hours ago

Posted 10 hours ago
This is a fully remote position, open to applicants in Florida, +2 more states.
• Collaborate with the AI Sales Specialist to design and implement the go-to-market strategy for AI Security solutions throughout the region.
• Enhance existing customer accounts while pursuing new customer acquisitions.
• Train and enable regional Sales Engineers on product features, future developments, and live demonstration execution.
• Assist in technical discovery, conduct architecture deep dives, and facilitate proof of concepts during the sales process.
• Support customers in deploying AI Security solutions within self-hosted environments.
• Oversee and maintain demo environments, manage demo certifications, prepare training materials, and conduct performance benchmarking.
• Engage with channel and reseller partners, providing them with technical knowledge and resources.
• Work alongside internal sales engineers and partners to identify, qualify, and finalize AI Security business opportunities.
• Lead technical architecture reviews, integration assessments, product demonstrations, and technical training for customers.
• Ensure successful post-sales technical handovers for effective deployments and long-term customer satisfaction.
• Build and nurture relationships with CTOs, CISOs, and key enterprise AI stakeholders.
• Inform customers about agentic AI best practices and secure AI deployment, establishing Virtue AI as a leader in AI security solutions.
• Bachelor’s degree in electrical engineering, computer science, data science, information systems, or a related technical field.
• Over 5 years of technical sales experience, with at least 2 years focused on AI and related technologies.
• Proven experience in engaging with technical evaluators, such as cloud or AI security engineers, data scientists, and AI/ML architects.
• Solid understanding of fundamental AI technologies, including machine learning, deep learning, and generative AI.
• Practical experience with Docker and containerized workloads.
• Familiarity with Kubernetes (EKS, GKE, or an equivalent platform).
• In-depth knowledge of essential AI security concepts, including access controls, identity management, network integration, endpoint detection and response, red-teaming, and guardrails.
• Preference for familiarity with well-known agentic AI tools, AI infrastructure, and their associated security implications.
• Excellent written, verbal, and presentation communication abilities.
• Experience in deploying production applications on cloud computing platforms such as AWS, Azure, or GCP.
• Willingness to travel up to 50%.
• Opportunity to travel up to 50% to foster customer relationships and promote business opportunities.
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