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we are Infinity External Risk Management, otherwise known as Cyberint, continuously reduces external cyber risk by managing and mitigating an array of external cyber security threats with one unified solution.
We are looking for a Cyber Threat Intelligence Analyst to be an integral part of our Intelligence teams, combining both cutting-edge technology and advanced threat intelligence analysis methodologies to deliver high-impact briefings to our customers
Requirement for 5 working days per week: Sunday to Thursday or Monday to Friday.
Key Responsibilities
Learning the customer needs and PIRs, configuring their tailored environments in the ERM intelligence platform and supporting the customers with tuning/training throughout engagement
Monitoring and analyzing threats targeting customers, or issues in their digital exposure, in order to produce actionable intelligence alerts and reports.
Investigating intelligence sources, threat actors, attack tools and techniques
Identifying and developing ERM data sources to collect the most relevant intelligence (darknet, forums, social media, marketplaces, etc.) as well as creating and maintaining avatars on these.
Developing the proprietary intelligence platform by surfacing new modules, capabilities and features
Joining meetings with prospects and clients to present deliverables.
Drive cooperation & feedback loops with other ERM teams.

We are currently seeking applicants for a Process Engineer. You will be responsible for designing, evaluating, and optimizing production processes to improve efficiency, reduce waste and cost, and ensure product quality.
Job Location:
Beer Sheva is the capital of the Negev, located in Southern Israel.
The factory in Beer Sheva was established in 1996 in the Emek Sarah industrial area and has over 1,000 employees.
What you will be doing:
To develop and implement production processes in line with product specifications and quality standards.
To identify and analyze process issues and recommend improvements to increase efficiency and reduce waste.
To create and maintain production documentation, such as standard operating procedures and work instructions.
To collaborate with other departments, such as Manufacturing, Quality Assurance, and Research and Development, to ensure smooth production processes.
To monitor and evaluate production processes to identify opportunities for improvement and implement solutions.
To train and mentor production and maintenance teams on new processes and equipment.

We are currently seeking applicants for a Planner.
Job Location:
Migdal Haemek is located in the North of Israel.
The factory in Migdal Ha'emek was established in 1996 and currently employs approximately 300 people.
What you will be responsible for:
Guarantee customer demand satisfaction within the available capacity of one or several Worldwide production lines
Full responsibility for one or several production lines: loading, customers, and production orders follow-up, MRB, expedites, samples, R&D and Engineering requirement treatment, etc.
Business and Production Planning line leading to reaching the divisional KPI
Planning overview reporting
Inventory (WIP+FG) control and management
Periodical stocktaking and report creation and distribution, Obsolescence handling
SAP+ AS400(production flour) Key User - training, projects.

As the worlds leading vendor of Cyber Security, facing the most sophisticated threats and attacks, weve assembled a global team of the most driven, creative, and innovative people. At our company, our employees are redefining the security landscape by meeting our customers real-time needs and providing our cutting-edge technologies and services to an ever-growing customer base.
our company Software Technologies has been honored by Time Magazine as one of the Worlds Best Companies for 2024. We've also earned a spot on the Forbes list of the Worlds Best Places to Work for five consecutive years (2020-2024) and recognized as one of the Worlds Top Female-Friendly Companies. If you're passionate about making the world a safer place and want to be part of an award-winning company culture, we invite you to join us.
Were looking for a Web Dev/Marketing Operations Manager to lead the strategy, design, and execution of personalized digital journeys across our website, HubSpot and Salesforce and to assist in the move of our CRM from HubSpot to Marketo later on in the year.
In this role, you will be a key player in creating, managing, and optimizing the user journey while executing impactful campaigns that enhance engagement across various channels.
Youll have the chance to enhance your skills, expand your expertise, and directly impact the growth and success of our organization.
Key Responsibilities
Own end-to-end marketing automation initiatives: from ideation and segmentation to execution, analysis, and optimization.
Own website optimization of our WordPress website, including page development, plugin updates and more.
Create Landing pages, emails, forms and other marketing elements.
Design and execute complex user journeys across our website, HubSpot, Salesforce, and connected CRMs, with a deep understanding of data structures and flows.
Track, analyze, and report on marketing performance across platforms using dashboards and data analysis tools.
Apply data-driven optimization: run structured A/B tests, monitor trends and behaviors, and optimize KPIs across segments and regions to improve engagement and retention.
Identify and implement AI-driven improvements to replace or augment manual marketing ops workflows, including documentation and performance measurement.
Collaboration with global stakeholders (marketing, sales, data, and engineering) to translate business goals into scalable MarTech solutions.
Support marketing operations as needed, including ad hoc tasks and conference preparation.

We are currently seeking applicants for a Planner position. The Planning Team plays a key role in the Supply Chain organization by optimizing business and production planning and ensuring alignment between customer demand, manufacturing capacity, material availability, and business objectives.
The Planner is responsible for creating and maintaining production plans that support on-time customer deliveries while balancing inventory levels, manufacturing efficiency, and capacity utilization. Key performance indicators include Sales, Customer and Production Missed Promises, inventory levels, inventory turns, and overall service performance.
The Planner works closely with Operations, Engineering, Purchasing, Logistics, Marketing, and Customer Service teams to resolve supply chain constraints, manage priorities, and support business growth.
Job Location:
Dimona located in the southern part of Israel in the Negev, not far from the Dead Sea area, the lowest location in the world.
The factory in Dimona is the oldest, having been established in 1986.
What you will be doing:
Developing and maintaining short-term and long-term production plans for multiple production sites / lines
Monitoring demand and supply trends and balancing production capacity accordingly
Managing order fulfillment and delivery commitments to customers
Provide support for the Operation, Customer Experience, Marketing and Engineering departments
Optimizing inventory levels while maintaining required service levels
Tracking and analyzing key KPIs, including Customer and Production Missed Promises, Inventory Turns, and overall planning performance.

We are currently seeking applicants for a Operator Manufacturing. Responsible for Managing or executing production activities in a production environment within a plant assigned, at various reporting and work level.
A job with specialized machines or test devices, according to work procedures and work schedules, given plans etc.
Job Location:
Migdal Ha'Emek is located in the North of Israel.
The factory in Migdal Ha'emek was established in 1996 and has approximately 300 employees.
What you will be doing:
To ensure compliance with production plans and production line outputs and keeping production assigned overall efficient.
To ensure adherence to relevant internal work instructions, safety rules and applicable regulations.
To execute and supervise the manufacturing of front/back-end processes according to specified procedures.
To cooperate with maintenance technicians and other interfaces.
To check continuously quality of products produced.

We are currently seeking applicants for a Operator Manufacturing. Responsible for Managing or executing production activities in a production environment within a plant assigned, at various reporting and work level.
A job with specialized machines or test devices, according to work procedures and work schedules, given plans etc.
Job Location:
Dimona located in the southern part of Israel in the Negev, not far from the Dead Sea area, the lowest location in the world.
The factory in Dimona is the oldest, having been established in
What you will be doing:
Ensuring compliance with production plans and production line outputs and keeping production assigned overall efficient.
Adhering or ensuring adherence to relevant internal work instructions, safety rules and applicable regulations (e.g., EHS).
Executing, supervising or managing manufacturing front-end processes a assigned, according to specified procedures.
Cooperating with maintenance technicians and/or external service providers in repair issues.

The Architect leads the design and implementation of scalable AI platforms and central services for AI, creating shared capabilities, tools, and frameworks that transform how our company builds, delivers, and operates products.
Beyond architecture, this role drives strategic, high-impact projects with powerful ROI that positively disrupt operations and elevate customer outcomes, improving efficiency, innovation, and product value across the company.
Strategic Objectives:
Accelerate AI Transformation across the organization by designing and operationalizing central AI services and a unified platform framework that powers key transformation initiatives, including Agentic Workflows.
Institutionalize AI Engineering and Governance Standards through common architecture, services, and enablement frameworks ensuring scalability, security, quality, and compliance.
Deliver measurable transformation outcomes through strategic, ROI-driven projects that reshape how our companys products are built and operated, directly benefiting customers and business performance.
Drive sustainable transformation at scale, balancing rapid innovation with operational excellence and long-term maintainability.
Key Responsibilities
Architect the AI Transformation Framework
Design and own the end-to-end architecture that enables the companys AI Transformation vision - spanning data, models, pipelines, APIs, and governance layers.
Define blueprints and integration standards to embed AI and automation throughout the SDLC, from ideation to delivery.
Build Generative AI Platforms and Central Services
Lead the design and implementation of the AI Enablement Platform and central AI services powering transformation initiatives such as Agentic Workflows and the Knowledge Hub.
Create scalable, secure, and modular AI components that can be leveraged across product lines and engineering domains.
Partner with infrastructure, platform, and security teams to operationalize LLM-based services, retrieval systems, and agentic automation flows.
Drive Strategic Transformation Projects
Lead cross-functional initiatives that deliver tangible operational and business impact - improving speed, quality, and cost-efficiency across the product organization.
Develop strong business cases and ROI frameworks to prioritize and communicate transformation value at the executive level.
Translate successful outcomes into reusable playbooks and AI cookbooks that scale across teams, roles, and product domains.
Technical Leadership and Enablement
Act as the senior technical authority and coach for AI transformation initiatives, guiding teams through architecture reviews, proofs of concept, and scale-up phases.
Mentor internal architects and tech leads to develop AI-native architectural competencies.

We are currently seeking applicants for a Manufacturing Operator. In this position, you will be responsible for the production and assembly of products, ensuring quality standards are met, and operating machinery and equipment. Manufacturing operators play a crucial role in the production process, ensuring the smooth and efficient running of the production line.
You will work with specialized machines or test devices, according to work procedures and work schedules, given plans etc.
If you are a reliable and detail-oriented individual with a passion for manufacturing, we encourage you to apply for this exciting opportunity.
Job Location:
Beer Sheva is the capital of the Negev, located in Southern Israel.
The factory in Beer Sheva was established in 1996 in the Emek Sarah industrial area and has over 1,000 employees. Our Resistors are embedded in various industries: Automotive, Telecom, Computers, Medical, Military, etc.
What you will be doing:
To ensure compliance with production plans and production line outputs and keep production assigned overall efficient.
To adhere or ensure adherence to relevant internal work instructions, safety rules and applicable regulations (e.g., EHS).
To execute and supervise manufacturing processes according to specified procedures.
To cooperate with maintenance technicians.
To check continuously quality of products produced.

We’re looking for a Frontend and Automation Developer to join our Analytics team. You’ll develop a modern web application and automation tests, collaborating with a multi-skilled team on a complex system. We value developers who embrace an AI-first mindset, leveraging AI tools to learn faster, improve development and testing workflows, solve problems more effectively, and continuously optimize the way they work. You’ll focus on building new client-side features and automation tests for our web application using React and TypeScript.
?What you’ll do: Be part of a cross-functional, multi-skilled team. Design and implement new functionality for our products. Contribute to building and maintaining our web automation suite. Use AI-assisted development tools as a natural part of your daily engineering workflow. Apply AI to areas such as coding, debugging, testing, code understanding, documentation, research, and problem-solving. Look for opportunities to improve engineering productivity and development processes using AI and automation. Collaborate closely with colleagues across teams. Participate in discussions and brainstorming sessions with Product and UX designers to shape the UX/UI according to user needs. Quickly learn and understand the business domain, product, architecture, and development environment. Stay up to date with frontend technologies, AI-assisted software development practices, and industry best practices.

Position Intro:
Earnix is the first AI company purpose-built for insurance decisioning, providing the industry with the intelligence, governance, and decisioning agility to drive profitable growth, improve resilience, and operate with speed and precision in a rapidly changing risk environment. A trusted provider of production-grade AI and decisioning technology, Earnix builds on more than 25 years of experience in artificial intelligence risk, pricing, rating, analytics, and decisioning. Earnix brings vertical AI into the workflows and decisions that shape insurance performance across insurers’ pricing, underwriting, claims, customer engagement, retention, and other insurers high-value insurance moments. Earnix’s AIOS enables insurers to orchestrate intelligence across the insurance decision lifecycle and drive governed, real-time decisions that deliver measurable business outcomes. Earnix is headquartered in Boston, MA and has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

Join our companys AI research group, a cross-functional team of ML engineers, researchers and security experts building the next generation of AI-powered security capabilities. Our mission is to leverage large language models to understand code, configuration, and human language at scale, and to turn this understanding into security AI capabilities which will drive our company AI future security solutions.
We foster a hands-on, research-driven culture where youll work with large-scale data, modern ML infrastructure, and a global product footprint that impacts over 100,000 organizations worldwide.
Key Responsibilities
Your Impact & Responsibilities
As a Senior ML Research Engineer, you will be responsible for the end-to-end lifecycle of large language models: from data definition and curation, through training and evaluation, to providing robust models that can be consumed by product and platform teams.
Own training and fine-tuning of LLMs / seq2seq models: Design and execute training pipelines for transformer-based models (encoder-decoder, decoder-only, retrievalaugmented, etc.), and fine-tune open-source LLMs on our company-specific data (security content, logs, incidents, customer interactions).
Apply advanced LLM training techniques such as instruction tuning, preference / contrastive learning, LoRA / PEFT, continual pre-training, and domain adaptation where appropriate.
Work deeply with data: define data strategies with product, research and domain experts; build and maintain data pipelines for collecting, cleaning, de-duplicating and labeling large-scale text, code and semi-structured data; and design synthetic data generation and augmentation pipelines.
Build robust evaluation and experimentation frameworks: define offline metrics for LLM quality (task-specific accuracy, calibration, hallucination rate, safety, latency and cost); implement automated evaluation suites (benchmarks, regression tests, redteaming scenarios); and track model performance over time.
Scale training and inference: use distributed training frameworks (e.g. DeepSpeed, FSDP, tensor/pipeline parallelism) to efficiently train models on multi-GPU / multi-node clusters, and optimize inference performance and cost with techniques such as quantization, distillation and caching.
Collaborate closely with security researchers and data engineers to turn domain knowledge and threat intelligence into high-value training and evaluation data, and to expose your models through well-defined interfaces to downstream product and platform teams.