Cato Networks
Forward Deployed Engineer
Requirements
Candidates must have 5+ years of programming experience in Python, Node.js, or Go, along with 1+ years of experience in cloud-native environments like AWS and Kubernetes. Proven experience in customer-facing roles such as solutions engineering or product management is required.
Responsibilities
You will lead complex technical sales engagements and customer deployments, acting as a hands-on expert to design and implement tailored solutions. This involves collaborating with cross-functional teams to address customer-specific challenges and influence product direction.
About the role
Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. 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. NOTE: This is a customer facing role. Previous sales or customer facing consulting experience is required. 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.