Customer Success Engineer - AI Security
Cato NetworksWarsaw, Masovian Voivodeship, Poland · Posted 2 months agoDescription
Welcome to the future of cloud networking and security!
Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!
As a Customer Success Engineer – AI Security Specialist, you will serve as a trusted technical advisor for strategic enterprise customers throughout the lifecycle of their Cato AI Security implementation. In addition to helping customers optimize their AI security posture, you will guide them through the secure adoption, governance, and operationalization of AI technologies.
You will provide assigned customers with technical guidance and direction on the operation and optimization of their Cato environment while helping them identify, assess, and mitigate emerging AI-related risks. You will facilitate awareness of new platform capabilities and collaborate closely with Product, Engineering, Support, Professional Services, and Customer Success teams to drive customer outcomes.
Key Responsibilities:
- Maintain expert-level knowledge of Cato AI Security capabilities, deployment methodologies, and industry best practices while staying current on emerging AI security threats, technologies, and regulatory developments.
- Serve as the trusted technical advisor for assigned strategic accounts, helping customers align AI security initiatives with broader business, security, and compliance objectives.
- Develop meaningful relationships with key customer stakeholders and their partners, adopting a consultative and prescriptive approach that inspires trust and confidence.
- Drive customer adoption and utilization of Cato AI Security capabilities by guiding deployment, configuration, and optimization while expanding the use of existing services and introducing new platform capabilities.
- Identify opportunities to improve customer security posture, operational efficiency, and overall value realization from the Cato platform.
- Provide customers with ongoing guidance regarding product updates, service enhancements, and AI security capabilities to ensure awareness of potential impacts and opportunities.
- Define, track, and report on customer objectives, adoption milestones, and success metrics to measure business and security outcomes.
- Coordinate and facilitate ongoing enablement of Cato platform capabilities across customer networking, security, cloud, and AI governance teams through technical workshops, knowledge transfer, and best-practice guidance.
- Act as the customer advocate during issue resolution, ensuring appropriate prioritization and timely resolution of support cases.
- Conduct AI security reviews and advisory engagements to help customers identify and mitigate risks associated with Generative AI, LLMs, AI agents, and AI-enabled applications.
- Advise customers on AI governance frameworks, AI risk management, AI usage policies, and secure adoption of best practices.
- Collaborate with the greater Professional Services team to synthesize customer experiences and industry trends into repeatable technical best practices.
- Collaborate with Customer Success Managers and Account teams to conduct regular technical reviews, contribute to executive and business reviews, and identify opportunities for expanded platform adoption and account growth.
- Foster collaboration with Product, Support, and Engineering teams and provide feedback from the field regarding AI security requirements, platform functionality, and customer needs.
Qualifications:
- 3+ years of experience as an IT security domain expert in a customer-facing role (e.g., consulting, professional services, pre-sales, managed services) for a high-tech software or technology vendor
- 3+ years of experience in cloud or infrastructure security architecture with a focus on AWS or Azure, including hands-on experience deploying and securing Amazon EKS & ECS, or Azure Kubernetes Service and hybrid connectivity services
- Demonstrated experience in one or more AI Security disciplines (e.g., AI Governance, AI Risk Management, Large Language Model Security, Generative AI Security, AI Application Security, AI Security Architecture, AI Compliance & Governance Programs)
- Understanding of AI and LLM-specific threats, attack techniques, and risk models (e.g., prompt injection, data leakage, model manipulation, and adversarial attacks).
- Exposure to implementation of API gateways (e.g., Zuul, Apigee, Kong, Amazon API Gateway, Azure API Management) and AI application specific gateways (e.g., LiteLLM, Portkey, Helicone, TrueFoundry)
- Exposure to APIs, automation frameworks, and scripting languages (e.g., Python and PowerShell).
- Solid understanding of public cloud networking constructs (e.g., AWS VPCs, Transit Gateway, Direct Connect, Route 53, and Gateway Load Balancer – Azure VNets, VNGs, ExpressRoute, vWAN, Load Balancer, and DNS)
- Proficient with Infrastructure as Code (IaC) using Terraform, Pulumi, Tofu or CDK with version-controlled deployment pipelines and automation scripting skills in Python, Bash, or Go is a plus.
- Practical experience with observability and monitoring stacks (e.g., Splunk, CloudWatch, Prometheus, Grafana, Datadog)
- Awareness of regulatory, privacy, and compliance requirements relevant to AI and cloud environments (e.g., GDPR, EU AI Act, FedRAMP, HIPAA, SOC 2, ISO 27001).
- Familiarity with AI governance and security frameworks (e.g., NIST AI Risk Management Framework, ISO/IEC 42001, OWASP Top 10 for LLM Applications, and MITRE ATLAS)
- Achievement of relevant certifications for cloud, security, and AI (e.g., AWS Security Specialty, Azure Security Engineer Associate, CISSP, CCSK, CISM, and emerging AI security and governance certifications)&nb
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