AI Sales Engineer – SLED

This is a fully remote position, open to applicants in District of Columbia, +2 more states.

📋 Description

• Collaborate with the AI Sales Specialist to develop and implement the go-to-market strategy for AI Security solutions throughout the region.

• Grow current customer accounts and drive new customer acquisition.

• Train and enable regional Sales Engineers on product features, roadmap insights, and live demonstrations.

• Assist with technical discovery, in-depth architecture analysis, and proofs of concept during the sales process.

• Aid customers in deploying AI Security solutions in self-hosted settings.

• Manage demo environments and supervise demo certifications, training materials, and performance benchmarks.

• Provide channel and reseller partners with technical knowledge and resources.

• Work alongside sales engineers and partners to identify, qualify, and secure AI Security business opportunities.

• Conduct customer-facing architecture assessments, integration evaluations, product showcases, and technical training sessions.

• Facilitate post-sales technical transitions to ensure successful deployments and ongoing customer satisfaction.

• Cultivate trusted relationships with CTOs, CISOs, and leaders in enterprise AI.

• Inform customers on best practices for agentic AI and secure AI implementation.

⛳️ Requirements

• A Bachelor's degree in electrical engineering, computer science, data science, information systems, or a related technical field.

• Over 5 years of technical sales experience, including a minimum of 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.

• Strong 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 similar platforms).

• In-depth knowledge of key AI security principles, including access controls, identity management, network integration, endpoint detection and response, red-teaming, and guardrails.

• Preferred familiarity with popular agentic AI tools, AI infrastructure, and their security implications.

• Outstanding written, verbal, and presentation communication skills.

• Experience in deploying production applications on cloud platforms such as AWS, Azure, or GCP.

• Willingness to travel up to 50% of the time.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• Life insurance

• Disability insurance

• 401(k)

• 11 paid holidays

• Vacation time

• Sick time

• Comprehensive leave program

• Equity program

• Commissions based on the terms of the Sales Compensation Plan