Protect AI
Protect AI is the broadest and most comprehensive platform to secure your AI. It enables organizations to implement capabilities to see, know, and manage security risks associated with AI systems. With a focus on risk assessment, model security, and runtime protection, Protect AI provides solutions such as Guardian for zero-trust security, Recon for automated red teaming, and Radar for risk management. The platform ensures confidence in deploying generative AI models and applications by addressing unique vulnerabilities across the AI lifecycle.
Machine Learning • Artificial Intelligence • Data Science • Security • MLSecOps
51 - 200 employees
Founded 2022
🔒 Cybersecurity
🤖 Artificial Intelligence
☁️ SaaS
🔥 Funding within the last year
💰 Series B on 2024-08
Customer Success Engineer
February 11
☕ Washington – Remote
💵 $140k - $220k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑🔧 Technical Customer Success Manager
Protect AI
Protect AI is the broadest and most comprehensive platform to secure your AI. It enables organizations to implement capabilities to see, know, and manage security risks associated with AI systems. With a focus on risk assessment, model security, and runtime protection, Protect AI provides solutions such as Guardian for zero-trust security, Recon for automated red teaming, and Radar for risk management. The platform ensures confidence in deploying generative AI models and applications by addressing unique vulnerabilities across the AI lifecycle.
Machine Learning • Artificial Intelligence • Data Science • Security • MLSecOps
51 - 200 employees
Founded 2022
🔒 Cybersecurity
🤖 Artificial Intelligence
☁️ SaaS
🔥 Funding within the last year
💰 Series B on 2024-08
📋 Description
• Forge and maintain strong relationships with customers, becoming a trusted advisor on AI security and our product deployments. • Provide exceptional support to customers. Diagnose, reproduce, and resolve issues related to our AI security platform. • Collaborate with Customer Support Managers and the Solutions Engineering team to ensure customers have a successful post-sales journey. • Create and maintain knowledge base articles, runbooks, technical documentation, and best practices guides to empower customers and reduce support inquiries. • Maintenance of high Customer Satisfaction (CSAT) scores by delivering exceptional customer support. Achieve high scores in technical support satisfaction surveys and contribute to customer retention and renewal rates. • Technical Issue Resolution Time: Minimize downtime by reducing the average resolution time for technical issues. • System Performance Improvement: Track improvements in system performance and security post-implementation.
🎯 Requirements
• 3+ years experience in customer success or related technical fields within the cybersecurity or AI industries. • Knowledge of maintaining and troubleshooting Kubernetes applications. • Experience with On-Premises and cloud platforms (AWS, Azure, GCP) • Strong technical and analytical skills, capable of understanding and solving complex customer challenges. • Bachelor’s degree in Computer Science, Engineering, Cybersecurity, or a related technical field; relevant technical certifications are preferred.
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