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Join us at Check Point Software Technologies as a Software Development Team Lead and play a pivotal role in revolutionizing how organizations defend against cyber threats.

As part of our team, you'll not only lead a group of talented individuals in developing cutting-edge cybersecurity solutions but also have the opportunity for personal and professional growth within our company. We believe in investing in our employees' development and offer opportunities for advancement as we continue to innovate and expand our reach in the cybersecurity industry.

If you're passionate about innovation, driven by excellence, and eager to make a difference in the ever-evolving world of cybersecurity, we want to hear from you.

Key Responsibilities
Lead and manage a team of professional Software Developers, providing direction, guidance, and mentorship.
Collaborate with cross-functional teams to define project requirements and objectives, ensuring alignment with company goals.
Drive the development and implementation of innovative cybersecurity solutions, leveraging emerging technologies and industry best practices.
Monitor project progress and performance, identifying risks and implementing mitigation strategies as needed.
Foster a culture of innovation, collaboration, and continuous improvement within the team.

At Check Point Software Technologies, were building the cybersecurity platform that protects the hyper-connected world. Trusted by the largest enterprises and data centers globally, we deliver real security where it matters most.

Enterprise environments today are hybrid, hyper-connected, and evolving rapidlydriven by AI, automation, and digital acceleration. Managing and securing this complexity has never been more critical.

Hybrid Mesh Security is the right architecture. It delivers consistent, end-to-end threat prevention, zero-trust access, and secure connectivity across all environmentsfrom on-prem to cloud, SaaS, branches and remote users while optimizing performance and user experience.

This is the moment to drive meaningful change and help the worlds largest organizations achieve smarter, AI-powered, and more unified security. We invite you to join us and lead this transformation.

Key Responsibilities
Lead and expand Check Points Hybrid Mesh Security product strategy securing data centers, clouds, SaaS, branches, and remote users into a seamless, secure, and automated architecture.
Define and execute the product strategy and roadmap, integrating advanced AI, automation, and analytics to simplify operations and improve threat prevention.
Partner deeply across the companycollaborating with Chief Architect, Product Managers, R&D teams, and executivesto deliver a cohesive and comprehensive solution.
Oversee the product lifecycle from vision to continuous innovation, driving outcomes that matter to global enterprises.
Engage directly with customers, partners, and analysts to gather insight, shape strategy, and champion our Hybrid Mesh Security vision.
Craft compelling messaging and positioning that clearly communicates our differentiation, innovation, and business value.

We are looking for a strong, hands-on Data Scientist to join our ThreatCloud AI group.

In this role, you will join a R&D team that researches, designs, and develops Check Points Zero Day prevention solution, and provides state of the art AI based prevention of malicious and phishing attempts on a global scale.

This is a unique opportunity for you to gain expertise and experience utilizing vast data collection, and to deliver game changing results in the Cyber Security realm

Key Responsibilities
Join the research and development of new innovative capabilities for cyber security, involving advanced AI and Algorithms.
Quickly iterate on design approaches and POCs based on data-driven research and user feedback.
Design and develop a novel data-driven solutions that have the potential to deliver game changing results involving advanced AI and Algorithms.
Enjoy the work and knowledge of Cyber Researchers, Analysts, Fellow programmers and Data-Scientist to deliver machine learning and analytics solutions.
Push the solutions all the way to a large scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.