Customer Success Engineer - AI Security

Slashhash; Amsterdam; Hybrid; EUR 90,000 - 150,000; Full time

Job summary

Cato Networks is seeking a Customer Success Engineer - AI Security Specialist to serve as a trusted technical advisor for strategic enterprise customers. You will guide customers through AI security implementation, optimize their Cato environment, and drive adoption of AI security capabilities.

The role requires 3+ years in IT security with cloud and AI security expertise, and you will coordinate with security, cloud, and product teams to strengthen customers’ security posture and governance.

Qualifications

• 3+ years of IT security experience and expertise in cloud security and AI security disciplines.
• Must-have capabilities across cloud platforms and security tooling.
• Experience advising strategic enterprise customers on AI security adoption.

Responsibilities

• Maintain expert-level knowledge of Cato AI Security capabilities and industry best practices.
• Serve as trusted technical advisor for assigned strategic accounts, aligning AI security initiatives with business objectives.
• Develop relationships with customer stakeholders, adopting a consultative approach to earn trust.
• Drive adoption and utilization of Cato AI Security by guiding deployment, configuration, and optimization.
• Identify opportunities to improve security posture and value realization from the Cato platform.
• Provide ongoing guidance on product updates, governance, and AI security capabilities.
• Define, track, and report on customer objectives, adoption milestones, and success metrics.
• Coordinate enablement across customer teams through workshops and knowledge transfer.
• Act as customer advocate during issue resolution and ensure timely resolution.

Skills

stakeholder management

influencing

communication

presentation

troubleshooting

problem-solving

organization

adaptability

Tools

AWS

Azure

Amazon EKS

Amazon ECS

Azure Kubernetes Service

Python

PowerShell

Terraform

Pulumi

OpenTofu

CDK

Bash

Go

Splunk

CloudWatch

Prometheus

Grafana

Datadog

API Gateway

Zuul

Apigee

Kong

Amazon API Gateway

Azure API Management

LiteLLM

Portkey

Helicone

TrueFoundry

AWS VPC

Transit Gateway

Direct Connect

Route 53

Gateway Load Balancer

Azure VNet

VNG

ExpressRoute

vWAN

Load Balancer

DNS

NGFW

SWG

CASB

DLP

RBI

WAF

UEBA

iDP

NIST AI Risk Management Framework

ISO/IEC 42001

OWASP Top 10 for LLM Applications

MITRE ATLAS

GDPR

EU AI Act

FedRAMP

HIPAA

SOC 2

ISO 27001

Job description

Cato Networks seeks a Customer Success Engineer - AI Security Specialist to serve as a trusted technical advisor for strategic enterprise customers. The role involves guiding customers through AI security implementation, optimizing their Cato environment, and driving adoption of AI security capabilities. Requires 3+ years of IT security experience and expertise in cloud security and AI security disciplines.

Technical (Must-have)

• AWS
• Azure
• Amazon EKS
• Amazon ECS
• Azure Kubernetes Service
• Python
• PowerShell
• Terraform
• Pulumi
• OpenTofu
• CDK
• Bash
• Go
• Splunk
• CloudWatch
• Prometheus
• Grafana
• Datadog
• API Gateway
• Zuul
• Apigee
• Kong
• Amazon API Gateway
• Azure API Management
• LiteLLM
• Portkey
• Helicone
• TrueFoundry
• AWS VPC
• Transit Gateway
• Direct Connect
• Route 53
• Gateway Load Balancer
• Azure VNet
• VNG
• ExpressRoute
• vWAN
• Load Balancer
• DNS
• NGFW
• SWG
• CASB
• DLP
• RBI
• WAF
• UEBA
• iDP
• NIST AI Risk Management Framework
• ISO/IEC 42001
• OWASP Top 10 for LLM Applications
• MITRE ATLAS
• GDPR
• EU AI Act
• FedRAMP
• HIPAA
• SOC 2
• ISO 27001

Soft Skills

• stakeholder management
• influencing
• communication
• presentation
• troubleshooting
• problem-solving
• organization
• adaptability

Technical (Nice-to-have)

• AWS Security Specialty
• Azure Security Engineer Associate
• CISSP
• CCSK
• CISM

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.

AWS, Azure, Amazon EKS, Amazon ECS, Azure Kubernetes Service, Python, PowerShell, Terraform, Pulumi, OpenTofu, CDK, Bash, Go, Splunk, CloudWatch, Prometheus, Grafana, Datadog, API Gateway, Zuul, Apigee, Kong, Amazon API Gateway, Azure API Management, LiteLLM, Portkey, Helicone, TrueFoundry, AWS VPC, Transit Gateway, Direct Connect, Route 53, Gateway Load Balancer, Azure VNet, VNG, ExpressRoute, vWAN, Load Balancer, DNS, NGFW, SWG, CASB, DLP, RBI, WAF, UEBA, iDP, NIST AI Risk Management Framework, ISO/IEC 42001, OWASP Top 10 for LLM Applications, MITRE ATLAS, GDPR, EU AI Act, FedRAMP, HIPAA, SOC 2, ISO 27001, 3 years of relevant experience