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We are looking for a Team leader for our File Secuirty Core team to join our threat detection engines group.

You will develop Check Points industry-leading sandbox solution in charge of the prevention of zero-days malware reaching the market.

You will work in multiple environments, large-scale cloud (AWS) microservices and on-prem solutions, a multiple development languages, and research the latest malware that exist in the wild.

We operate as an independent developing unit that enjoys flexibility, the option to make a big impact, and meaningful challenging work along with access to Check Points malware research resources.

Key Responsibilities
Lead a team of developers that are both experts in development and Malware research.
Research malware behaviour and evasion techniques across all stages of the malware kill change from exploitation and infection to impact.
Hands-on development in C++/Python on multiple environments.
Design and develop mechanisms to detect suspicious and malicious activity on OS internals.
Collaborate cross-functionally with data scientists, project managers, and researchers.
Get experience with developing in a cloud-based and on-prem infrastructure.
Work alongside other engineers on the team to elevate technology and consistently apply best practices.

Join Check Point, a global leader in cybersecurity renowned for its cutting-edge solutions that protect against evolving digital threats, as an Sales Development Representative. In this role, you'll engage clients, uncover new business prospects, and drive sales conversions. Our dynamic, innovative environment fosters your career growth through comprehensive training. If you're curious about cybersecurity, eager to make meaningful connections, and ready to contribute to a leading organization, join us in safeguarding the digital world.

Key Responsibilities
- Prospecting: Employ diverse channels to identify and assess potential leads, initiating initial contact to evaluate their needs and establish interest in our cybersecurity solutions.

- Qualification: Assess leads based on predefined criteria, confirming alignment with target customer profiles and their potential to gain from our products and services.

- Engagement: Connect with prospects through calls, emails, and other means, adeptly presenting the value of Check Point's solutions.

- Relationship Development: Cultivate relationships with prospects, grasping their challenges and positioning our offerings as viable solutions.

- Collaboration: Collaborate closely with sales and marketing for seamless lead transitions and a unified sales approach.

-Pipeline Contribution: Foster a robust sales pipeline by scheduling qualified meetings and appointments for the sales team.

- Market Insights: Stay current with industry trends, competition, and emerging tech to effectively position Check Point's solutions.

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.

In 2021, we went public on the New York Stock Exchange, and we havent stopped growing since!

We are looking for a Senior Data Scientist to join our team and help advance our Apps solution. Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization. The role involves designing and implementing statistical and ML algorithms within big data pipelines, while ensuring data robustness and efficiency. You will be expected to come up with creative solutions to problems related to time series, text analysis, estimation and classification. You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.

Key Responsibilities: Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data engineers and analysts.
Participate in the design of our data products based on your knowledge of the data sources available.
Monitor and analyze data along the pipelines to ensure product quality and promptly resolve any issues that arise.