Sobre esta vaga de Field AI Engineer na Cato Networks
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.
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.
- 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.
