채용
필수 스킬
Python
Node.js
AWS
Kubernetes
Go
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!
The Field AI Engineering team is a unique group of professionals combining strong technical expertise, rooted in a software engineering background, with excellent customer-facing skills.
In this role, you will lead major customer engagements, both remotely and on-site, and tackle the most complex challenges faced by our customers. Some of these challenges will be addressed in-house by designing and developing tailored solutions for customer environments. Others will require close collaboration with our R&D and Product teams to deliver scalable and impactful solutions.
This position is ideal for someone who enjoys solving hard technical problems while working directly with customers and influencing product direction.
Responsibilities
-
Drive AI Security deal success by handling complex technical sales engagements.
-
Lead and participate in customer meetings, including technical deep dives, solution design sessions, and executive-level discussions, both remotely and on-site.
-
Collaborate closely with cross-functional teams, including Sales, Product, R&D, Marketing, Customer Success, and Professional Services, to deliver end-to-end customer solutions.
-
Design and develop custom features, integrations, and tailored solutions to address customer-specific environments and challenges.
-
Lead and support complex customer deployments, from initial design through implementation and validation.
-
Act as a hands-on technical expert throughout the customer lifecycle, contributing wherever needed to ensure successful outcomes.
Requirements
-
5+ years of hands-on programming in Python, Node.js, or Go (you know one well, and you’re comfortable picking up the others).
-
1+ years working with AWS, Kubernetes, and RDS (you know your way around cloud-native deployments, scaling, and persistence).
-
Proven experience in customer-facing roles (e.g., solutions engineering or product management), with a track record of translating customer needs into product feedback, integrations, and end-to-end solutions
-
Advantage
B.Sc. in Computer Science / Engineering or equivalent experience from a technological army unit.
Why join us
-
Be part of a lean, elite team where your work doesn’t just sit in a backlog — you’ll ship real value, frequently, and see the impact.
-
This is a unique opportunity to combine deep technical expertise with a highly customer-facing role.
-
You’ll work on some of the most complex and dynamic customer scenarios, designing and delivering tailored solutions.
-
This role offers significant impact, constant learning, and the chance to shape both customer outcomes and product direction.
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
비슷한 채용공고

Resident Solutions Architect
Databricks · Atlanta, Georgia

SAP Solution Architect - Infosys Consulting
Infosys · Atlanta, GA

Solutions Architect, Automotive & Manufacturing
Amazon · Atlanta, GA, USA

Solutions Architect, US Greenfield ISV
Amazon · Atlanta, GA, USA

Resident Solutions Architect - Healthcare & Life Sciences
Databricks · Atlanta, Georgia
Cato Networks 소개

Cato Networks
Series DCato Networks Ltd. is a Tel Aviv, Israel-based network security company that develops Secure Access Service Edge (SASE) technology, which combines enterprise communication and security capabilities into a single cloud-based platform. The company was founded in 2015.
501-1,000
직원 수
Tel Aviv
본사 위치
$2.5B
기업 가치
리뷰
3.9
10개 리뷰
워라밸
3.2
보상
3.1
문화
4.1
커리어
4.0
경영진
3.4
72%
친구에게 추천
장점
Supportive and respectful management
Great team culture and collaborative atmosphere
Good career advancement opportunities
단점
Heavy workload and frequent overtime
Fast-paced and stressful environment
Management communication and clarity issues
연봉 정보
2개 데이터
Junior/L3
Junior/L3 · Business Analyst
0개 리포트
$124,375
총 연봉
기본급
-
주식
-
보너스
-
$105,719
$143,031
면접 경험
64개 면접
난이도
3.4
/ 5
소요 기간
14-28주
합격률
31%
경험
긍정 68%
보통 22%
부정 10%
면접 과정
1
Phone Screen
2
Technical Interview
3
System Design
4
Behavioral
5
Team Fit
자주 나오는 질문
Tell me about a challenging project
System design question
Coding problem
Why this company
뉴스 & 버즈
RSAC 2026: Nimmy Reichenberg, Cato Networks, SVP, Product Marketing - Yahoo Finance
Yahoo Finance
News
·
3d ago
[HIRING] a Social Media Manager at Cato Networks! in Cato Networks
Company: Cato Networks Location: San Francisco, California, United States 📍 Date Posted: April 13, 2026 📅 Categories: #marketing #content #senior #fulltime Apply & Description 👉 https://jobboardsearch.com/redirect?utm_source=reddit&utm_medium=bot&utm_id=jobboarsearch&utm_term=digitalmarketingjobs.com&rurl=aHR0cHM6Ly9kaWdpdGFsbWFya2V0aW5nam9icy5jb20vam9icy80NDE0MTE5ODYtc29jaWFsLW1lZGlhLW1hbmFnZXI=
·
5d ago
·
1
De Financiële Impact van Auto-Adaptieve Dreigingspreventie: Een Analyse van Cato Networks' Nieuwe Engine
In het huidige cloud-native landschap worstelen veel organisaties met de financiële en operationele last van traditionele beveiligingsmodellen. Statische security policies, die handmatig moeten worden geconfigureerd en onderhouden, zijn niet langer opgewassen tegen de dynamiek van moderne infrastructuren. Dit leidt tot een kostbare cyclus van constante aanpassingen, waarbij security-teams overbelast raken en het risico op menselijke fouten toeneemt. Een misconfiguratie kan niet alleen een veil
·
6d ago
·
1
De Financiële Impact van Auto-Adaptieve Dreigingspreventie: Een Analyse van Cato Networks' Nieuwe Engine
In het huidige cloud-native landschap worstelen veel organisaties met de financiële en operationele last van traditionele beveiligingsmodellen. Statische security policies, die handmatig moeten worden geconfigureerd en onderhouden, zijn niet langer opgewassen tegen de dynamiek van moderne infrastructuren. Dit leidt tot een kostbare cyclus van constante aanpassingen, waarbij security-teams overbelast raken en het risico op menselijke fouten toeneemt. Een misconfiguratie kan niet alleen een veil
·
6d ago
·
1