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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 and recently Gartner rated our company email security as a market leader for product, detection and innovation. 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.
our company Harmony Email Security and Collaboration (Previously AVANAN) is a unique email solution that fully secures cloud email and cloud platforms using AI.
we are seeking a promising and talented Chaos Engineer (Chaos DevOps) to join our DevOps group. If you thrive in a fast-paced, dynamic environment, can handle multiple requests simultaneously, and enjoy working independently as part of a cutting-edge DevOps team, this is your opportunity to help make the world a safer place!

Every millisecond and every bit per second matter when you're defending the world's largest networks. We're looking for a passionate Performance Engineering Manager to lead our performance lab - an effort that spans both development and testing. This isn't only about finding where the product breaks. It's about making our products faster, leveraging and improving our AI infrastructure, and making both our products and our testing dramatically more efficient and robust.
You'll lead a team of QA and R&D engineers who design and build the tests, run them, dig into the numbers and the product, and turn what they find into concrete optimization work with development. If you love pushing the limits as much as you love finding the bug that's costing you those limits, this is your role.
Key Responsibilities
Lead and grow a team of QA and R&D engineers covering both performance development and performance testing
Set the technical direction for performance testing methodology, standards, and best practices across the lab, spanning both hardware and software projects
Leverage our existing AI infrastructure to make the lab more efficient - faster test cycles, faster analysis, faster answers, and ultimately faster, more optimized products
Go beyond identifying regressions: analyze results and actively propose performance optimizations to development teams
Increase visibility into performance results across R&D and product leadership, with clear, accessible reporting and dashboards
Own the performance strategy for our product lines, from planning and development through execution and reporting
Push traffic generator platforms to their limits to simulate real-world network and application traffic at scale
Partner with R&D, product management, and architecture teams to define what "great performance" means for our customers
Chase down performance bottlenecks at the system, kernel, and network level, and work directly with engineering to fix them
Build and maintain lab infrastructure, tooling, and automation to keep the lab sharp and scalable.

As the world's leading vendor of Cyber Security, facing the most sophisticated threats and attacks, we've 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 World's Best Companies for 2024. We've also earned a spot on the Forbes list of the World's Best Places to Work for five consecutive years (2020-2024) and recognized as one of the World's 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.
Key Responsibilities
We are looking for an experienced Technical QA Engineer to join our team and ensure the quality, reliability, and security of our Exposure Management platform.
This role is ideal for a technical Manual QA Engineer with experience testing cybersecurity, networking, or cloud-based products. You will work closely with Development, Product, and Support teams to validate new features, investigate complex issues, and ensure a high-quality customer experience.
This position also offers the opportunity to grow into test automation, making it ideal for engineers with basic scripting skills who are interested in expanding their automation capabilities.
Manual Testing & Quality Assurance
Design and execute manual test plans and test cases.
Perform functional, regression, integration, end-to-end, and API testing.
Identify, document, and track software defects using Jira.
Validate new features, bug fixes, and product releases.
Technical Investigation
Investigate application, networking, and security-related issues.
Analyze logs to identify root causes.
Test APIs using Postman or similar tools.
Work closely with Development and Support teams to resolve complex issues.
Automation
Write basic scripts using Python, Bash, or similar languages to improve testing efficiency.
Contribute to the team's test automation initiatives over time.

We are looking for a strong team player with a high sense of ownership, a "get-things-done" mindset, and the willingness to contribute across all areas of development - from UI and backend to data and detection pipelines.
Major Responsibilities
Develop new features and capabilities for our company's Gen AI Security SaaS product, with a focus on backend services and real-time detection & prevention pipelines
Develop SaaS product capabilities such as prompt-injection and jailbreak detection, content moderation, PII and data-leakage prevention, policy and practice management, and other customer-facing platform features
Contribute to our native inspection agent that runs close to customer traffic
Contribute to the platform's ML pipeline, including data collection and feature engineering that support the platform's detection models
Work with cloud services, CI/CD pipelines, monitoring, logging, and automation tools
Take end-to-end ownership of features, from design and implementation through deployment, observability, support, and production operation
Build and maintain dashboards, alerts, and operational tools, using data and metrics to improve reliability, performance, and product decisions
Collaborate closely with developers, DevOps engineers, product managers, security researchers, support teams, and other stakeholders
Support production environments, investigate customer issues, and understand the real-world impact of features, bugs, and infrastructure changes.

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.

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.

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’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.

Were looking for an experienced Deep Learning & Computer Vision research engineer to join our Algorithms group.
What will you do:
Be a researcher of the core deep learning algorithms and partnering with other teammates.
Developing our next generation 2D/3D perception models that utilizes CV in complex environment.
Work across full ML cycle: data, design, train and debug, solvIng complex problems that aligned to customer KPIs.

we are looking for a hands-on Field Engineer to join our team and play a key role in deploying, maintaining, troubleshooting, and validating our advanced railway vision systems in Israel and abroad.
This is a unique position that combines field engineering, system integration, troubleshooting, and support for R&D validation activities. You will work closely with multidisciplinary teams, including Mechanical, Electrical, Software, and R&D Engineers, ensuring our systems perform reliably in real-world railway environments.
Important to Know: This is a hands-on field engineering role, primarily based in railway environments across Israel and at customer sites worldwide. The role requires comfort with outdoor work, heights, and active railway environments, as well as a hands-on approach to solving technical problems on site.
Responsibilities:
Install, integrate, and commission systems at customer sites.
Perform preventive and corrective maintenance on deployed systems.
Diagnose and resolve hardware, software, electrical, and communication issues in the field.
Execute field validation and testing activities for the R&D team.
Collect logs, analyze system behavior, and provide detailed feedback to engineering teams.
Work independently in the field while collaborating closely with internal technical teams.
Support customer demonstrations, pilots, and acceptance tests.
Prepare technical reports and document field activities.
Travel domestically and internationally to support installations, testing, and customer projects.