Forward Deployed Engineer
Cato Networks
Atlanta, GA · Posted May 20, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at Cato Networks
More in Georgia job market · All Forward Deployed Engineer jobs (372) · Technology & Software · Engineering jobs
More roles at Cato Networks
Similar jobs
- Principal Software Engineer · Docusign · GA
- Principal Software Engineer · ACI Worldwide · Norcross, GA
- Senior Software Engineer - Academy · Wgu · Salt Lake City, UT
- Senior Specialist Software Engineer · Flightsafety Defense · Broken Arrow, OK
- Sr. Staff Software Engineer (GraphQL, Typescript, Agular, AWS) · OneMain Holdings · Fort Mill, SC
- Senior Software Engineer - WGU Labs · Wgu · Raleigh, NC
Where Atlanta, GA ranks
Where Atlanta, GA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for education jobs491 openings · of 47
- #1Cities with the most jobs that do not need a four-year degree in the Southeast528 jobs · of 72
- #1Best cities for software and engineering jobs in the Southeast973 openings · of 65
- #2Best all-round cities for remote workers in the Southeast87 / 100 · of 33
- #3Best cities for finance jobs641 openings · of 78
- #3Best cities for clinical jobs152 openings · of 22
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing does not state pay. Across 140 open forward deployed engineer listings that state pay, the middle half runs $155,000 to $233,500 and the median is $194,500.
Listed pay is what employers advertise, not what people are paid.
Forward Deployed Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
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.