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Cato Networks

Forward Deployed Engineer

Cato Networks is hiring a Forward Deployed Engineer in Atlanta, United States. Level rates it ; you can apply on Cato Networks.

Level's read on this job

  • On Level's scale, this forward deployed engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include AI agents.
  • Level classifies it as a senior role.
  • Level lists 105 other open roles at Cato Networks.

AI in this role

ai-agents

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.

How we rate this

Forward Deployed Engineer at Cato Networks rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agents

Also common in forward deployed engineer jobs at this level

Pay

Typical forward deployed engineer job
$180k

This posting doesn't list pay. Use the typical forward deployed engineer figure when pay comes up. See forward deployed engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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