Why Join Us?

Join our AI & Innovation group as an Engineering Team Lead and help shape the future of cybersecurity.

We're building a cutting-edge, AI-powered security product at the heart of Check Point's strategic vision — and we’re looking for a strong leader to take our engineering team to the next level.

In this role, you’ll lead a team of top-tier software engineers, owning the architecture, scalability, and seamless integration of AI-driven capabilities into a high-performance, real-time security platform. You'll play a key role in transforming advanced AI technologies into impactful, production-ready solutions.

Our group combines the speed and creativity of a startup with the backing of a global cybersecurity leader. If you're passionate about solving complex technical problems, leading exceptional talent, and building innovative AI-powered systems with real-world impact — we want to hear from you.

Key Responsibilities

• Lead, mentor, and grow a team of software engineers, fostering a high-performing culture and supporting recruitment, onboarding, and career development
• Drive the design, architecture, and technical direction of the AI-powered product, ensuring it meets performance, scalability, and integration goals
• Work closely with data scientists, product managers, and engineering teams to align on strategy, execution, and delivery
• Ensure robust, scalable, and reliable deployment in production
• Stay on top of emerging AI technologies and best practices, evaluating and integrating advancements to keep the product and team at the cutting edge
  
  

Qualifications

• 5+ years of hands-on software engineering experience, including at least 2 years in a technical leadership role within AI or data-intensive product teams
• Proficiency in Python, with strong experience designing, building, and operating scalable backend systems and cloud-native applications in production environments
• Strong leadership and execution skills, with a demonstrated ability to mentor engineers, lead cross-functional initiatives, and align technical execution with product and business objectives
• Experience developing and maintaining robust data pipelines and backend services that integrate with data science workflows and support AI-powered product features
• Practical experience with GenAI frameworks (e.g., OpenAI APIs, LangChain, vector databases), and a solid understanding of integrating LLMs into real-world systems using RAG, agent-based architectures, and structured data
• Background in cybersecurity or network infrastructure — strong advantage
• BSc in Computer Science or a related field; MSc — advantage