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We use an interesting and mixed technology and services, we are mostly located in AWS but we have significant 3rd parties which we must manage their cost as well (like Datadog, Atlas, and more as examples).
In this position you will use your expertise in phyton and TF, you will have to perform automated actions and work on implementation with R&D of cost effective solutions.

Key Responsibilities
Design, build and manage our finops infrastructure in order to automatically reduce daily cost.
Get an experience with finops tools, develop dedicated processes, and have a great opportunity to grow and create impact.
Adapt and take on more responsibilities and own your share of the product.
Work with different RnD groups, business, and other teams at Check Point.

At Check Point Software Technologies, we are building the cybersecurity platform that protects the hyper-connected world. We deliver real security, trusted by the largest enterprises, and data centers globally.

Today, we are making a significant investment in artificial intelligence to revolutionize cybersecurity:

We are developing AI-driven solutions to make the work of our customers smarter, faster, and dramatically more efficient.
We are creating security technologies to protect AI itself from cyber threats, helping organizations adopt AI technologies securely and responsibly.
We are on an ambitious journey to set a new industry standard for organizations to protect themselves, fully powered by AI.
This is the time to make a huge impact.
If you're passionate about leadership, innovation, and shaping the future of cybersecurity with AI we invite you to join us.





Key Responsibilities
Lead and scale the AI Product Management, developing a high-performing team of PMs.
Define and own the AI product strategy and roadmap, aligning with business goals and customer needs.
Drive the full product lifecycle, from discovery and high-level requirements gathering to launch, and iteration.
Be the voice of the customer, ensuring our AI solutions directly address real-world challenges and deliver exceptional value.
Collaborate cross-functionally with CTO, AI Architects, R&D, data science, marketing, and customer-facing teams to execute at high velocity.
Evangelize and represent Check Points AI vision and products internally and externally through keynotes, customer meetings, and industry events.
Tell the story: create compelling product narratives that clearly articulate the value of AI innovations to customers, partners, and internal stakeholders.

we are looking for a talented Front End Engineer to take responsibility for this amazing and innovative platform.

The partner platform offers a single integrated solution providing consolidated visibility and management of customer environments, allowing automation, scalability, and high reliability for proactive security protection.



Key Responsibilities
Actively develop and design the front end infrastructure, architecture and product features
Rapidly deliver high quality, scalable, enterprise-ready SaaS application
Measure, analyze, and improve existing software to enhance performance, UX and functionality
Research and suggest new technologies to improve scale and performance
Work closely with other groups and stakeholders in Check Point to manage requirements and priorities

We are building the Windows agent that powers GenAI Protect, Check Points flagship initiative to secure AI workflows across endpoints, browsers, and SaaS. In this role you will help define how AI and security intersect at the OS level and solve problems no one has solved before. If you want to work on technology that sits on the critical path of how people and machines use GenAI every day, this is where you want to be.



Key Responsibilities
Own the Windows protection layer: design and implement the core proxy, hooks, and anti-tampering mechanisms for GenAI agents.
Collaborate with Mac, Cloud, and Security Engine teams to build unified multi-platform behavior analysis.
Design IDE and developer environment integrations to monitor and protect AI-driven code flows.
Deliver production-ready, high-performance agent components with deep OS-level visibility.
Influence architecture decisions, threat models, and agent-core evolution.