What You’ll Do

• Customer Onboarding & Deployment: Partner with customers to design and implement secure deployments of our AI security solutions, ensuring seamless integration into their environments (cloud, on-prem, or hybrid).
• Technical Guidance & Iteration: Provide expert technical consultation on infrastructure, containerization (Docker/Kubernetes), and cloud networking. Help customers rapidly iterate and adopt best practices for secure AI operations.
• Customer Success Ownership: Act as the primary technical point of contact post-sale, ensuring customers derive ongoing value, achieve their security objectives, and successfully scale their deployments.
• Troubleshooting & Optimization: Diagnose and resolve customer issues, optimize configurations, and proactively identify opportunities for improvement.
• Enablement & Training: Deliver hands-on workshops, training sessions, and technical documentation to empower customer teams to be self-sufficient with our products.
• Feedback Loop: Capture customer feedback and collaborate with product management, engineering, and research teams to inform roadmap priorities and product enhancements.
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Who You Are

• Proven experience in a post-sales, customer success, or solutions engineering role (AI, security, or cloud-based products preferred).
• Strong experience with Docker and containerized workloads; familiarity with Kubernetes is highly desirable.
• Hands-on cloud experience (AWS, Azure, or GCP), including cloud networking concepts and Infrastructure as Code (IaC).
• Python programming experience required; familiarity with AI/ML workflows (LangChain, LangGraph, MLOps tools) is a plus.
• Skilled at troubleshooting technical issues and guiding customers through iterative solution design.
• Excellent interpersonal and communication skills; comfortable working with both technical and business stakeholders.
• Self-motivated, adaptable, and passionate about helping customers succeed.