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We are looking for a driven, analytical, and detail-oriented Compensation & Benefits Analyst to join our HR team. In this role, you will contribute to designing and executing our compensation and benefits programs to ensure we remain competitive, fair, and aligned with our business goals and culture. You will partner closely with HR business partners, Talent Acquisition team, finance, and leadership to deliver actionable insights, ensure compliance, and support employees experience. As part of our growing organization, this is a unique opportunity to shape C &B practices and scale them across functions/regions. You will have visibility into senior leadership decisions and influence how we attract, retain, and reward talent.
Key Responsibilities
* Support and coordinate global compensation and benefits processes, including annual salary review, variable and bonus plans, equity grants, and ongoing program management.
* Enforce and promote the companys Compensation & Benefits methodologies, ensuring consistency, fairness, and compliance with all relevant legislation and internal policies.
* Participate in and manage compensation survey submissions (e.g., Zviran, Radford) while ensuring data accuracy and consistency.
* Perform market analyses and benchmarking to identify compensation trends and provide insights that inform business decisions.
* Design, maintain, and continuously optimize global salary structures, pay grades, and compensation salary ranges.
* Oversee the administration and governance of global benefits programs, ensuring competitiveness and compliance across all locations.
* Perform data analysis, develop reports, and present actionable recommendations to HR and business stakeholders.
Office Location:
Petah Tikva

We are seeking a hands-on Manager, Software Engineering to lead a full-stack engineering team (Backend, Frontend, and QA) developing a cloud-native cybersecurity SaaS product on AWS.
The role combines technical leadership (around 40% hands-on) with team management, delivery ownership, and agile execution.
The ideal candidate is a seasoned engineer and people leader with deep AWS experience, strong software craftsmanship, and an interest in applying Generative AI (GenAI) to enhance productivity and product intelligence.

Key Responsibilities

Lead, mentor, and grow an Engineering team delivering end-to-end SaaS features from design and development to testing and deployment.
Define and execute the technical roadmap, ensuring scalability, security, and high performance.
Stay hands-on (~40%) with architecture, coding, and code reviews in key components.
Design and maintain backend systems using AWS services
Ensure secure coding practices, IAM least-privilege design, and compliance with AWS security principles.
Drive CI/CD automation, infrastructure as code and modern DevSecOps practices.
Collaborate with Product, UX, and Security teams to define and integrate GenAI-powered capabilities that improve usability, automation, and threat analysis.
Implement and enforce Scrum best practices sprint planning, retrospectives, and delivery tracking.
Foster a high-performance engineering culture emphasizing quality, ownership, and innovation.

We are seeking a Senior AI Product Security Engineer to join our innovative team at our company . As our Senior AI Security Engineer, you will lead the development and implementation of security frameworks for our AI systems, combining strategic thinking with hands-on technical expertise. This role presents an outstanding opportunity for a professional who is passionate about AI security and driven to advance the field. Working alongside professionals who share your commitment to excellence, you will be at the forefront of securing our AI products. We value professionals who embrace challenges and demonstrate the ability to quickly adapt to and master new technologies.

Key Responsibilities:

Lead security evaluation and enhancement initiatives across our AI products
Drive innovation through research and implementation of advanced AI security technologies
Conduct comprehensive code reviews, threat modeling, and vulnerability assessments
Design and implement robust security architectures for AI systems
Collaborate with cross functional teams to track security defects and align with them on remediation steps.
Provide technical leadership and mentorship in AI security best practices