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The team is responsible for developing and improving our Linux anti-malware prevention. This includes having top-notch knowledge about the latest malware families in the wild, Linux internals, different attack frameworks and hacktools. As part of this, the team analyzes customer data and issues to prevent malicious activities in our customer's environment, and help to improve the product.
Key Responsibilities
Research and analyze malware and keep up-to-date on the most recent tactics and techniques used in the wild
Create behavioral-based protection that enhances our product's coverage
Leverage Palo Alto Networks massive collection network to identify coverage gaps and emerging threats
Assist in the design, research, evaluation and implementation of new security technologies and features
Work in close coordination with other teams, including both development and other research teams, as well as support, sales and other cross-functional teams.

We are looking for a sharp, driven, and highly organized Marketing Operations Specialist to join our growing marketing team. IIf you are a natural problem solver who loves connecting systems, organizing data, and figuring out how things work, this is an opportunity to join a successful company and grow your career within marketing operations.
As a member of the team, you wont be expected to know everything on day one. However, you must be a relentless self-learner, highly resourceful, and incredibly organized. You will play an important role in executing our marketing campaigns, managing our lead data, and automating workflows that keep marketing and sales running smoothly.
Responsibilities:
Execute Campaigns in HubSpot: Build, test, and deploy email marketing campaigns, manage list segmentations, and set up marketing automation workflows.
Execute Advertising Campaigns: Work alongside our advertising manager to build and update online advertising campaigns.
Creative Problem Solving through Automation: Work with tools like Claude, Zapier and n8n to architect creative workarounds, bridge system gaps, and automate processes that make our marketing data more intelligent and our team more agile.
Maintain CRM Health: Handle day-to-day data entry, mapping, and cleanup between HubSpot and Salesforce to ensure seamless alignment between Marketing and Sales.
QA & Troubleshooting: Meticulously test marketing links, forms, email layouts, and automation logic before they go live to ensure a flawless user experience.
Documentation: Create and maintain clear, step-by-step documentation for internal processes and system setups.

we are looking for a Big Data Engineer.
As a Senior Big Data Engineer, working within Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.
RESPONSIBILITIES:
Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure.
Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.

We are seeking a detail-oriented, self-driven Security Analyst, based in Israel, to join the Risk and Compliance team and operate ISO-aligned Event Management Process end-to-end. This role is the front door for security events - the person who makes sure that every reported security event (from employees, vendors, and automated monitoring) is triaged, classified, escalated where required, and closed with documented evidence.
The Security Analyst is both an operator and a process owner. This is an excellent entry-point role for a Computer Science graduate or similar background person looking to build a foundation in security operations and compliance. You will run the daily flow of events, partner with Corporate IT, R&D/DevOps, and the CISO to drive down events, implement improvements and take corrective and preventive actions. You will report directly to the Chief Information Security Officer and work closely with the broader employee base engaging them directly.
This role covers five primary pillars: Security Event Intake and Triage; Classification, Escalation and Coordination; Process Operations and Continuous Improvement and Ai Automation.
This is a temporary position with an hourly pay.

Were looking for a Senior Backend Engineer to join core engineering group and build the systems behind one of the worlds largest location-analytics platforms.
In this role, youll work on backend services that process and serve billions of data points, power ML-driven insights, and operate at high scale and high reliability. If youre motivated by hard technical challenges, modern infrastructure, and collaborating with strong engineers, this role is built for you.
RESPONSIBILITIES:
Design, build, and evolve large-scale, distributed backend systems that power data and AI products
Own services end-to-end - from architecture and design to production, monitoring, and continuous improvement
Drive performance, scalability, and reliability, using data and metrics to guide decisions
Build infrastructure and data pipelines that support machine-learning, analytics, and real-time use cases
Partner closely with Product, Data Science, and Analytics to turn complex data into impactful product features
Raise the engineering bar through code reviews, design discussions, and technical mentorship