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We're growing our Billing team and looking for someone to support the day-to-day billing lifecycle for our customers, from onboarding through cancellation. You'll work cross-functionally, communicate directly with US-based customers, and have a real impact on revenue accuracy and Customer Experience. This role reports directly to the Finance Operations Manager, and is based out of either Jerusalem or Tel Aviv, with a requirement to work from the alternate office one day per week.
What you will be responsible for:

* Own billing setup for new customers, including subscriptions, invoicing, and assisting with payment collection
* Keep subscriptions accurate throughout the customer lifecycle: upgrades, changes, pauses, and cancellations
* Send invoices on time and handle credits, adjustments, and discrepancies
* Be the billing point of contact for customers, resolving inquiries and following up on overdue accounts
* Work closely with Customer Success, Sales, and Operations on billing-related requests
* Maintain clean, audit-ready records across our billing and CRM systems (Zoho, salesforce )
* Spot manual steps that can be automated and help build smarter billing processes
The top candidate will also have:

* Relevant academic degree in Business, Finance, Economics etc.
* Experience with subscription billing platforms (e.g. Zoho, Stripe)
* Experience with CRM platforms for case and account management ( salesforce a plus)
* Background in automotive
* Exposure to collections or AR processes

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.
Key Responsibilities
Responsible for daily incident management of customer incidents
Perform incident response and forensic analysis of compromised systems, identify and provide recommendations for remediation
Formulate and direct incident response efforts, prioritize those response efforts, and create legible incident reports that describe the compromise vector, attacker methodologies and artifacts
Ability to manage complicated global incidents
Ability to perform large-scale compromise assessments for customer environments
Build incident response plans and playbooks
Create attack scenarios for customer tabletop training exercises
Creation of detailed incident reports for customers and effective communication of findings to customers
Build and maintain sandbox/test lab environments to evaluate malicious code
Work within a team environment and will be responsible for coordinating work actions.

Required Senior Frontend Engineer - Sovereign AI Engineering
The Dream Job
It starts with you - a senior frontend engineer responsible for building, refining, and scaling complex user interfaces that power our Al products. The role focuses on component architecture, production health and observability, design system implementation, and delivering polished, accessible experiences.
If you want to grow your skills building frontend systems for mission-critical products, join our mission - this role is for you.
Responsibilities
Design and build complex, interactive UIs with React, TypeScript, and Next.js.
Apply design engineering principles to translate Figma designs into highly polished, responsive implementations.
Own component architecture: build reusable, composable, and well-documented components.
Own production health and observability to ensure system reliability at scale.
Ensure accessibility and cross-browser compatibility.
Write tests and maintain code quality across the frontend codebase.
Collaborate with design, backend, and product teams to ship features end-to-end.
Mentor engineers and promote frontend engineering best practices.
Leverage Al-assisted development tools to accelerate workflows and improve code quality.

Required Senior Full-Stack Engineer -CTI
The Dream Job
We're building our Cyber Threat Intelligence platform - a system that harvests, contextualizes, and serves threat intelligence at scale. This includes AI-powered Copilot experiences, analyst-facing dashboards, and the services that connect them. We're looking for a versatile Full-Stack Engineer to own features end-to-end, from backend services to the UI that puts intelligence in analysts' hands.
You might be stronger on the frontend or backend - that's fine. What matters is your ability to work across the stack, take ownership of entire features, and ship with autonomy. You'll collaborate closely with product, UX, and CTI researchers to translate complex data into intuitive experiences, all within a fast-moving environment with short development cycles.
Responsibilities
Own features end-to-end - from data layer to UI -delivering complete solutions that serve real analyst workflows.
Build core components of the CTI platform, including AI Copilot experiences, dashboards, and data visualization tools.
Develop backend services and APIs that process and expose threat data to client applications.
Craft responsive, maintainable frontend experiences using Vue, TypeScript, and modern tooling.
Collaborate with product and UX to translate requirements into well-designed, documented solutions.
Drive engineering best practices across the stack - code quality, testing, and maintainability.

Required Senior Malware Researcher
The Dream Job
As a Senior Malware Researcher, you will analyze and reverse engineer malware and tooling used by advanced threat actors, particularly those targeting governments and critical infrastructure. You will apply deep expertise in binary and script analysis to uncover capabilities, configurations, and C2 infrastructure for threat actor attribution and mitigations.
Your work will power our malware catalog, strengthen our understanding of threat actors technical capabilities, and directly support the development of next-generation AI-driven "artificial cyber researchers".
Responsibilities
Perform in-depth static and dynamic analysis of malware, implants, loaders, and related tooling used by APTs and other sophisticated adversaries.
Reverse engineer binaries and scripts (e.g., PE, ELF, .NET, PowerShell, JavaScript/VBA) to determine capabilities, execution flow, persistence mechanisms, and evasion techniques.
Extract and document configuration data and C2 information, and map these to campaigns, infrastructure, and threat actors in collaboration with CTI researchers.
Develop and maintain detection and hunting artifacts such as YARA rules, VT LiveHunt queries, CAPA rules, and sandbox behavior signatures.
Work closely with CyberAI researchers on the development of next-generation artificial cyber researchers and AI-driven analysis capabilities.

Required Senior ML Platform Engineer - Sovereign AI Engineering
The Dream Job
It starts with you - an engineer driven to build the ML platform that turns research into reliable, production-grade intelligence. You care about reproducibility, low-friction experimentation, and infrastructure that earns the trust of the scientists and researchers who depend on it daily. You'll architect and ship our ML platform - training pipelines, model serving, feature stores, experiment tracking, and compute orchestration - turning models into production capabilities across cloud and on-prem, including air-gapped deployments. A significant part of the platform supports large language models, with unique challenges across training, evaluation, and inference in mission-critical environments.
If you want to make a meaningful impact, join our mission and build the ML platform that drives Sovereign AI products - this role is for you.
Responsibilities
Build and operate ML training infrastructure - distributed training pipelines, compute scheduling, and reproducible experiment workflows that data scientists rely on daily.
Own model serving and inference systems - packaging, deployment, autoscaling, A/B testing, canary rollouts, and latency/cost optimization for production models.
Run feature stores, model registries, and dataset versioning - enabling self-serve feature engineering, model lineage, and reproducible experiments across teams.
Build experiment tracking and evaluation infrastructure - automated evals, comparison dashboards, drift detection, and monitoring that give teams visibility into model behavior and performance.
Build and maintain production pipelines for training, fine-tuning workflows, and serving domain models - owning reliability, reproducibility, and scale.
Build and maintain the monitoring and observability layer - model performance tracking, data and prediction drift detection, data quality validation, and alerting.
Improve performance and cost across the ML stack - training throughput, inference latency, batch vs. real-time tradeoffs, and compute cost management.
Ship shared tooling - libraries, templates, CI/CD for models, IaC, and runbooks - while collaborating across Data Platform, AI, Data Science, Engineering, and DevOps. Own architecture, documentation, and operations end-to-end.