Sobre este puesto de AI Security - Software Team Lead, Coding Agents en Cato Networks
Cato Networks · Presencial · Tel Aviv District, Israel
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!
Cato Networks is building the future of AI security. As AI reshapes work, software, and business, we are evolving every layer of our platform to become AI-first - combining our on-device security layer, network traffic analysis, and contextual AI understanding to power real-time enforcement for safe agentic AI adoption. Cato combines the scale and maturity of a global cloud-native security platform with the speed, focus, and rapid innovation of a team building for a new era. This is a rare opportunity to build tomorrow’s AI security platform for the world’s largest enterprises.
We’re looking for a hands-on Software Engineering Team Lead to own our AI Security product for coding agents - from Claude Code, Codex, and GitHub Copilot to cloud-native coding environments and fully autonomous development agents.
This is a high-impact, product-driven leadership role at the intersection of AI, developer experience, cloud infrastructure, and enterprise security. You’ll lead a full-stack team that owns this domain end-to-end: from infrastructure and policy engines to delightful product experiences that engineering teams actually love using.
What You’ll Do
We’re looking for a hands-on Software Engineering Team Lead to own our AI Security product for coding agents - from Claude Code, Codex, and GitHub Copilot to cloud-native coding environments and fully autonomous development agents.
This is a high-impact, product-driven leadership role at the intersection of AI, developer experience, cloud infrastructure, and enterprise security. You’ll lead a full-stack team that owns this domain end-to-end: from infrastructure and policy engines to delightful product experiences that engineering teams actually love using.
What You’ll Do
- Lead and grow a full-stack engineering team dedicated to securing AI coding agents and autonomous development workflows.
- Own the entire product area - strategy, architecture, roadmap execution, quality, customer adoption, and continuous iteration.
- Design and build production-grade capabilities spanning AWS & Kubernetes infrastructure, backend services, real-time policy & enforcement engines, rich APIs/integrations, and intuitive UI/UX.
- Partner closely with Product, Design, Sales Engineering, and customers to stay ahead of emerging AI risks and developer needs.
- Set a high bar for engineering quality, ownership mindset, fast delivery, and product thinking across the team.
- Help shape how the industry solves one of the biggest challenges of our time: letting AI agents move at incredible speed without compromising security or governance.
What You Bring
- 3+ years leading full-stack engineering teams, with a strong preference for staying hands-on with code and architecture.
- 5+ years of strong full-stack software engineering experience.
- Deep expertise across AWS, Kubernetes, backend services, APIs, databases, and modern frontend/UI development.
- Strong backend skills in Python, Node.js, Go, or similar languages.
- Proven track record owning complex product domains from initial design through production and ongoing evolution.
- Excellent product intuition and the ability to collaborate effectively with Product, Design, field teams, and customers.
- Genuine curiosity about AI coding agents, modern developer workflows, and the future of AI-assisted software engineering.
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