Hire(d) better.
Hire(d) better.
Hire(d) better.
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!
Cato’s AI Security capabilities extend the Cato SASE platform into the AI and SaaS layers, enabling enterprises to securely adopt and govern AI-powered applications and services. AI Security provides real-time visibility, control, and protection across AI-enabled SaaS platforms by addressing modern threats such as identity abuse, data leakage, misconfigurations, insider risk, and unauthorized AI usage.
By integrating AI Security natively into the Cato SASE Cloud, Cato delivers a unified platform that protects users, networks, SaaS applications, and AI services from a single, globally distributed security architecture.
We are looking for a Channel Sales Engineer to serve as a technical resource for Cato Networks’ Channel organization, acting as an overlay specialist focused on AI Security.
In this role, you will manage the technical evaluation process with channel partners, working with the Cato Channel team as the primary technical contact and product advocate for Cato’s AI Security solutions.
The evaluation process includes technical discussions, product demonstrations, Proof of Concept execution, and partner education. You will engage with technical and business stakeholders and play a key role across the partner lifecycle.
Validate Cato’s AI Security solutions for prospects and partners.
Develop and deliver product demonstrations and technical presentations.
Present solutions to customers and at field events such as conferences and seminars.
Address functional and technical elements of RFIs and RFPs.
Serve as a technical advisor to channel partners during evaluations and deployments.
Communicate feedback, feature requests, and technical insights to Product Management.
Stay current on AI security trends, emerging technologies, and market alternatives.
Travel throughout assigned sales territory as required.
4+ years of experience as a Sales Engineer, Solutions Architect, or technical pre-sales professional.
Experience selling or assisting with Cybersecurity SaaS solutions, preferably in enterprise or partner-based environments.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
Technical background with experience in several of the following areas:
SaaS platforms and APIs
AI / Machine Learning concepts and risks
REST APIs and integrations
SSO, IAM, and identity-based security
SIEM and security insights
Cloud platforms such as AWS, Azure, or GCP
Kubernetes and modern cloud architectures
Presentation and written communication skills.
Organized, thoughtful, and adaptable problem-solver.
Startup experience preferred; comfortable operating in fast-paced environments with limited formal processes.
Will AI replace this role?
Check AI displacement risk, transferable skills, and career alternatives for Channel Sales Engineer, AI Security - East
The salary range for the Channel Sales Engineer, AI Security - East position at Catonetworks is USD 240k-260k/yr.
The Channel Sales Engineer, AI Security - East position at Catonetworks is based in Atlanta, Georgia, United States; USA. This is an on-site position.
The Channel Sales Engineer, AI Security - East position at Catonetworks requires 4+ yrs exp.
Key skills for the Channel Sales Engineer, AI Security - East position at Catonetworks include: machine learning, aws, azure, google cloud, kubernetes.