Field AI Architect

Catonetworks; Greater London; Hybride; GBP 110 000 - 160 000; Plein temps

Résumé du poste

Cato Networks in London is seeking a Field AI Architect to lead major customer engagements and act as the AI security expert across the field, GTM, and product teams. You will work across remote and on-site deployments, shaping the AI security roadmap and ensuring successful outcomes for strategic accounts.

The role blends technical leadership with customer-facing responsibilities, spanning design, demonstrations, and deployment validation within a cloud-native security platform context.

Responsabilités

• Work closely with customers, partners, Sales, R&D, Marketing, Ops, UI/UX, Documentation, Training, and Customer Success teams to deliver best-in-class AI security product.
• Build product demos and demonstrate the product for strategic accounts and high-profile meetings.
• Drive AI Security deal success by handling complex technical sales engagements.
• Break down strategic product-related goals into actionable tasks and manage execution across departments.
• Conduct product research, write detailed product design documents, and manage end-to-end execution to deliver the feature.
• Create and deliver presentations for customers, partners, Sales, Customer Success, and Professional Services teams.
• Support sales in large opportunities, RFI/RFP, and collect requirements and gaps.
• Sales enablement and deep product collateral creation.
• Lead and support complex customer deployments from design through implementation and validation.
• Act as a hands-on technical expert throughout the customer lifecycle to ensure successful outcomes.

Description du poste

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 Architect, London will be part of the Field AI Engineering team which is a unique group of professionals combining strong technical expertise, mostly 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. You will act as an expert on the entire AI Security space and product offering. You'll be the go-to role that supports our GTM organization needs. Cato's Field AI Engineering team is the bridge between Customer, Pre-sales, Product Management, and Engineering.

The Field AI Architect, London has full visibility of all the projects and activities in all domains with the ability to forward the message out to the field and influence our decisions with customers' and partners' feedback.

What You’ll Do:

• Work closely with our customers, partners, Sales, R&D, Marketing, Ops, UI/UX, Documentation, Training, and Customer Success teams to deliver best-in-class AI security product in the market.
• Build product demos, as well as demonstrate the product for strategic accounts and high-profile meetings.
• Drive AI Security deal success by handling complex technical sales engagements.
• Break down strategic product-related goals into actionable tasks and manage the execution of these tasks across all relevant departments.
• Conduct product research, write detailed product design documents, and manage the end-to-end execution to deliver the feature.
• Create and deliver presentations for customers, partners, Sales, Customer Success, and Professional Services teams.
• Support sales in large opportunities, RFI/RFP, and collect requirements and gaps.
• Sales enablement and deep product collateral creation.
• 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.