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The Data Science role is the engine behind our industry-leading Exposure Management (EM) platform.
You will be responsible for the AI models that power our CAASM (Cyber Asset Attack Surface Management) capabilities and our advanced Vulnerability Prioritization and Remediation engines.

We are building the intelligence layer that helps organizations implement a Continuous Threat Exposure Management (CTEM) framework. You will build models that normalize fragmented data from hundreds of sources, calculate complex risk scores, and prioritize which exposures actually pose a threat to the business.

We are looking for an experienced and creative data scientist, with a software development touch, to join our Data Science and our family. A data scientist that understands and loves data, and lots of it.

What you will do...
Solve Applied Product Challenges: Deep-dive into our product ecosystem to identify and solve high-impact problems. You will translate complex customer needs into scalable ML features that directly improve the user experience.
Lead Exposure Intelligence R&D: Develop features that unify asset data (CAASM) with threat intelligence. This includes building models for entity resolution (deduplicating assets across fragmented sources) and automated risk assessment.
Advanced NLP & Knowledge Extraction: Use NLP and LLMs to parse unstructured security data-such as CVEs, threat intel feeds, and security advisories-to automate the mapping of vulnerabilities to specific business contexts.
Predictive Prioritization: Design and optimize algorithms that go beyond static CVSS scores. You will incorporate exploitability (EPSS), reachability, and business criticality to help clients focus on the 1% of exposures that matter most.
End-to-End Ownership: Work closely with Product Managers and Data analysts and Engineers to ensure your models aren't just accurate in a notebook, but are robust, explainable, and deliver clear value within the product UI.
Graph-Based Attack Surface Mapping: Identify hidden patterns and relationships between assets, users, and vulnerabilities to visualize the potential "blast radius" of a security gap.

We seek an experienced and highly skilled Senior Engineer to join our Data Platform Team. This is an exciting opportunity to work on cutting-edge technologies, drive innovation, and play a key role in designing and implementing the companys data infrastructure and architecture.

What you'll do

Database Infrastructure Development - Design, develop, and maintain scalable and reliable self-serve database infrastructure, including PostgreSQL, MongoDB, SingleStore, and AWS Aurora.

Big Data Infrastructure Development - Design, develop, and maintain scalable and reliable self-serve big data infrastructure, including cloud-agnostic data lakehouse, distributed databases, and platform-powered data pipelines.

End-to-End Ownership - Take responsibility for the entire lifecycle of data infrastructure, from DevOps (Terraform, Kubernetes) to application-level components (infrastructure libraries, core components in data pipelines).

Architecture Leadership: Collaborate with the Architecture group to define and maintain the companys core architectural vision.

Partner with development teams, providing technical guidance, best practices, and support from the design phase to production deployment.

Innovation and Exploration - Work on diverse and impactful projects across different layers of the tech stack, exploring new technologies and approaches to improve reliability, efficiency, and scalability.

Were looking for a talented Embedded SW Engineer to join our innovative team. As a member of our team, you will be responsible to innovate, design and implement embedded software in C/C++ for our chipset.
Responsibilities
Design, implement and optimize the embedded software driving our chipset (drivers, middleware and application layer)
Collaborate with System architecture and Hardware groups to deliver quality system solutions
Optimize code for memory usage, performance, and power efficiency
Ensure compliance with Safety and Industry standards.

Were looking for a talented Applied Algorithms & Operational Researcher to join our innovative team. As a member of our team, you will be responsible for analyzing extensive data, developing new metrics for our customers' vast data sets, and creating tools to classify and analyze the data effectively.
Responsibilities
Conduct comprehensive performance analysis of automotive radar systems, including data collection, processing, and interpretation. Evaluate system performance in various scenarios.
Develop and implement algorithms and tools to process and analyze radar data. Extract relevant performance metrics and provide meaningful insights into system behavior and limitations.
Collaborate with the development team to identify areas for improvement and optimization.
Conduct radar system performance tests and validation procedures. Create test plans, define test cases, and analyze results to ensure system performance meets specified requirements. Identify potential issues, troubleshoot problems, and propose solutions.
Create concise reports, technical documents, and presentations summarizing performance analysis results and recommendations. Effectively communicate findings to cross-functional teams, including engineers, managers, and other stakeholders. Contribute to product documentation and technical specifications.

As a Senior Data Analyst in the R&D you will be deeply involved in development of Armis core services and features, mainly within the vulnerability management realm.
You will also be involved in research and explorations of new Integrations, their modeling into Armis while dealing with uncertainty, constantly facing unfamiliar technologies.
You will be providing KPIs & metrics, build dashboards and other data visualizations to facilitate data driven decisions about our product.
You will own a unique point of view and perspective about how users are using the product and a close acquaintance with new data features and involvement in their enrollment.

We are looking for an analyst that first and foremost has a passion for data,
Can see the big picture but also pay attention to small details,
Team player that can work with many interfaces but also lead and take ownership.

What you'll do:
Provide complex data analysis to facilitate feature development and product decisions.
Research and explorations of diverse APIs.
Identify data issues that require special attention.
Identify and fix data inconsistencies.
A team player who understands that the only way to solve large problems is with teamwork and collaboration.

We are looking for a Senior IT Engineer to own and evolve our modern, cloud-first workplace infrastructure. This role is highly SaaS-active, focusing heavily on identity lifecycle automation and automated endpoint management. You pair deep infrastructure skills with an AI-forward mindset, actively leveraging AI tools to automate operations, optimize internal workflows, and secure our fully digital environment.
What am I going to do?:
Identity & Access Management: Own Okta as our primary IdP. Architect and automate complex identity lifecycles, directory integrations, and context-aware adaptive MFA policies. Endpoint Management (MDM): Design and manage our enterprise Apple ecosystem using Jamf Pro. Optimize zero-touch deployment (Apple Business Manager), patch management, and security configurations. SaaS & Cloud Operations: Act as the primary administrator for our core SaaS stack. Integrate systems via APIs, webhooks, and automated workflows. AI Integration & Automation: Implement AI-driven operations (AIOps) for smart monitoring, predictive analytics, and low-code/no-code automated IT support workflows. Security & Compliance: Partner with security to enforce zero-trust architecture, manage vulnerability patching, and pull automated evidence for compliance audits (SOC2/ISO 27001).

Equal opportunities:
At our company, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. we are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, our company will provide accommodation to individuals with disabilities or a special need.

We are looking for an Engineering Manager to lead the evolution of our engineering foundations - across both frontend and backend domains.

This role blends technical leadership, team management, and strategic impact. Youll guide a multidisciplinary team responsible for developer experience, infrastructure, and governance across the R&D organization.

The teams mission is to increase developer velocity, ensure product quality, and strengthen engineering consistency across all our products - from web applications to backend microservices.



What Youll Do

Technical & Strategic Leadership

Define and own the vision and roadmap for Armiss development platform, including web, backend, and AI-enablement initiatives.

Partner with engineering leadership, architects, and product teams to remove friction and increase velocity across R&D.

Establish and govern engineering standards, testing practices, and secure development workflows.

Lead the evolution of our shared frameworks, build systems, and developer tools for scalability and security.

Frontend & Web Infrastructure

Own and evolve the UI development ecosystem, including build systems, testing frameworks, and local development experiences.

Govern our shared UI kit and design system, ensuring consistency, accessibility, and performance across all products.

Partner with UX and product engineers to create a cohesive, maintainable frontend foundation.

Backend & Microservices Infrastructure

Oversee and guide the microservices development framework, templates, and communication patterns.

Optimize monorepo builds, CI/CD pipelines, and runtime standards for efficiency, reliability, and observability.

Implement infrastructure-level protections that improve product quality and prevent regressions.

AI Enablement Across R&D

Champion and integrate AI-assisted development tools (code generation, code review, testing, documentation).

Define patterns and best practices for AI-driven workflows, enabling teams to move faster with higher quality.

Partner with data, DevOps, and product teams to explore how AI can optimize engineering processes and infrastructure.

People & Collaboration

Lead, mentor, and grow a cross-functional team of backend, frontend, and platform engineers.

Foster a culture of technical excellence, innovation, and continuous improvement.

Collaborate closely with Product, UX, Security, and DevOps leaders to align strategy and execution.

We are looking for a Senior Software Engineer to join a specialized development unit reporting directly to the Office of the CTO.

This team functions as an internal innovation incubator, tasked with architecting and building a new AppSec AI solution from the ground up. You will enjoy the best of both worlds: the high-velocity, autonomous environment of a small startup crew, backed by the data, expertise, and stability of the broader our engineering organization. If youre a builder who loves the early-stage "blank canvas" phase and wants to solve complex problems at the speed of thought, this is for you.


What Youll Do
Bring Ideas to Life: Take ownership of complex, open-ended technical challenges and see them through from conception all the way into our customers' hands.
Build the Future of AppSec: Architect, implement, test, and optimize an AI-native application security solution.
Own the Backend & AI Architecture: Design robust microservice cloud environments and integrate advanced AI capabilities into our core product.
Engage Beyond the Code: Collaborate directly with customers, support, sales, and our executive leadership team to gather real-world insights, quickly unblock issues, and align our technical direction with business needs.
Collaborate Globally: Work closely with a distributed team of engineers and stakeholders across Israel, the US, Canada, and India to deliver high-quality MVPs and core products.

Our Global Information Technology division is looking for a Senior SAP WM / SAP EWM consultant:


Job Description:
Project management and process improvement in the field of SAP EWM.
Responsibility for the configuration, development, implementation and support of the SAP EWM module.
Understand business needs and provide innovative solutions for those needs and the logistics area.
Responsibility for providing end user support and system maintenance, including interface support..
The candidate will report to our SAP Applications Team Leader MM-WM.
The job may require flights occasionally.

We are seeking for an Digital Project Manager This role requires initiating, leading, and managing large-scale digital technology projects from end to end.
Responsibilities include managing and planning project scope, budgets, work plans, timelines, Agile ceremonies and governance routines, and coordinating with external vendors. This is a full-time position, Sunday through Thursday, based in Lod, Israel.

Power the Future with us! At SolarEdge (NASDAQ: SEDG), we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. SolarEdge offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. The Embedded control teams develop SW products that create the basic building blocks of the SolarEdge system and deal with various fields - power conversion algorithmic, communication algorithmic, optimizations, RT problems on different platforms - DSPs, Company’s ASIC and digital controlled power converters for photo-voltaic power systems. Our technological challenges are taking part in the following fields: power electronics, digital close loop control and digital signal processing algorithms implemented on company’s microprocessors. By joining us, you’ll have the chance to develop unique products from concept level to mass production, while working with advanced simulation and developing tools.
What you will be doing:
* Learning the different aspects of our products by developing features in various areas and disciplines - power electronics, control theory, DSP and communication over different platforms.
* Developing on various micro-controllers and dealing with various RT constraints.
* Ownership of a project\product from end to end- from concept and simulation, through development and integration and field deployment.
* Building complex simulations integrating SW and HW.


Country:
Israel

City:
Herzliya

Hashavim 360 is a leading fintech information provider, delivering digital solutions in labor law, taxation, finance and pensions. We are looking for a Product Manager.
Key Responsibilities: Implementation of the product's strategy and vision and make sure it’s aligned with the company's overall objectives and market trends in the legal industry. Conduct in-depth market research and analysis to identify emerging trends, competitive landscape, product market fit, and customer needs within the legal technology space. Define and prioritize the product roadmap based on strategic initiatives, customer feedback, and market opportunities, ensuring alignment with business goals and resources. Lead cross-functional agile teams through the product development lifecycle, from ideation and requirements gathering to design, development, and launch, while maintaining focus on quality and timeliness. Ensure that all product features and functionalities comply with relevant legal regulations, data privacy laws, and security standards. Identify opportunities to embed AI capabilities into the product: automations, intelligent workflows, and decision-support features that add measurable value to customers. Apply AI tools in day-to-day PM work: research, spec writing, discovery synthesis, backlog management, and stakeholder communication.