About the role

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!

Role Overview

We are looking for a Sales Engineer in West to serve as a technical resource for Cato Networks’ field sales organization.

In this role, you will manage the technology evaluation stage of the sales process, working with the sales team as the key technical advisor and product advocate for Cato’s solutions. You should be skilled at building business relationships, explaining technology and product positioning to business and technical users, and addressing technical issues across all stages of the sales process.

Responsibilities

Provide technical validation of Cato Networks solutions to prospects.
Develop and deliver product demonstrations.
Present the product to customers and at field events such as conferences and seminars.
Address functional and technical elements of RFIs and RFPs.
Convey customer requirements to Product Management teams.
Travel throughout the sales territory as required.

Requirements

4+ years of pre-sales or consulting experience working with network and/or cloud security products in a customer-facing role.
Proven track record in software sales.
Broad knowledge of networking technology, including:
- LAN and WAN technologies
- Switching and routing
- Security, firewalls, and filtering technologies
- Cloud
Presentation skills and written communication skills for emails, RFPs, and reports.
Organized, creative, and adaptable in approach and solution design.

Compensation and Benefits

A reasonable estimate of the OTE for this role, at the time of posting, is $140,000–$160,000.

Cato provides the pay range for open roles to help align with candidate needs. Exact compensation may vary based on skill set, experience, location, training, and certifications.

Cato provides a market-aligned salary and comprehensive benefits plan. Benefits for this role include health, vision, and dental insurance; 401(k); stock options; Health Savings and Flexible Spending Accounts; flexible time off; paid parental leave; and disability benefits.

As an EEO/Affirmative Action Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender.

Skills & Tags

node go rust ai data product design sales

Aplyr's read

Cato Networks is a leading cloud-based cybersecurity firm, attracting professionals skilled in AI, network security, and global sales strategies.
Synthesized from recent postings & public sources

What's promising

•Cato Networks offers innovative cloud-based security solutions, addressing modern cybersecurity challenges.
•The company is expanding its AI capabilities, hiring roles like AI Team Lead and Agentic AI Engineer.
•Cato Networks is growing globally, with roles like Country Manager and Channel Account Manager in diverse regions.

What to watch

•The competitive cybersecurity market requires constant innovation to maintain a leading position.
•Rapid expansion may challenge internal communication and operational consistency.
•Dependence on cloud infrastructure could pose risks if service disruptions occur.

Why Cato Networks

•Cato Networks integrates AI into its cybersecurity solutions, enhancing threat detection and response.
•The company offers a unified platform for secure access, simplifying network security management.
•Cato Networks' focus on global expansion is evident in its diverse hiring across regions and functions.

Aplyr’s read is generated by AI from public sources. Was it useful?