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we are looking for a Senior Malware Researcher.
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 malware catalog, strengthen our understanding of threat actors technical capabilities, and directly support the development of next-generation AI-driven "artificial cyber researchers".
The 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 JavaScript Engineer
Our Bot Defender is a market leading product designed to safeguard online platforms and digital assets from automated bot attacks.
AOur Sensor team is at the forefront of protecting online platforms by distinguishing real users from sophisticated bots. Our JavaScript-based sensor is a critical component of our detection capabilities, gathering high-fidelity signals from browsers and devices to help secure digital ecosystems at scale.
We are seeking an experienced engineer to join the Sensor team in pushing the boundaries of real-time, client side (JS) and backend development.
Join us and be an essential part of the team that powers the intelligence behind our defense against online threats - helping to keep the internet human!
What you'll do:
Drive the design, development, and optimization of advanced JavaScript techniques to collect signals (user behavior, device characteristics, browser APIs) securely and efficiently.
Own the full code lifecycle: architecture, development, deployment, monitoring, and continuous improvement.
Collaborate closely with Product, Research, Security, and Engineering teams to align technical execution with broader product goals.

We are on a mission to secure the AI transformation that every company is going through, building a platform that protects organizations as they adopt AI tools at scale. This is your chance to join one of the fastest-growing areas in our company and develop technology that will define how cybersecurity operates in the AI era. You will be part of a multidisciplinary team of backend engineers, endpoint developers, AI researchers, and product experts from Israel and global acquisitions, all working together to deliver cutting-edge, end-to-end security solutions to the worlds largest enterprises.
As a Software Developer on our team, you will work across both backend services and endpoint components, designing scalable systems that connect endpoint-level data collection with cloud-based analysis and enforcement. Youll play a key role in building the agents and services that monitor and control interactions with AI tools, shaping a new category of security products that operate seamlessly across platforms and environments.
Key Responsibilities
Develop and maintain backend services alongside endpoint components for a cross-platform security platform
Design scalable systems that integrate endpoint-collected data with cloud-based processing and enforcement
Build and enhance endpoint agents responsible for monitoring and controlling interactions with AI tools (e.g., coding assistants, web-based AI services)
Implement data pipelines, policy enforcement logic, and secure data handling mechanisms across endpoint and backend layers
Collaborate with AI and product teams to deliver end-to-end solutions
Troubleshoot and resolve complex issues across distributed system and endpoint components.

We are looking for a Technical Trainer to join our WW Technical Training team.
Who has a passion for teaching and inspiring others, who has a desire to develop and deliver comprehensive training programs.
In this role, you will leverage your expertise in training and development, instructional design, and technical knowledge to:
Train company employees and partners
Design and test engaging labs
Develop comprehensive courseware materials
Key Responsibilities
Deliver instructor-led training on our company products, technologies, and networking protocols.
Deliver a minimum of 30 training days per quarter.
Develop and build new courses for new products, technologies, and networking protocols.
Write exams and lab exercises for training.
Modify current materials of selected courses to keep them up-to-date with the latest trends and technologies.
Train both entry-level and advanced programs, including QA/TS programs in Israel and other technical courses by demand.
The position possibly requires travel 2-3 times a quarter.

We are seeking a Senior Backend Engineer to join the Sightline detection engineering team. You will design, build, and operate high-scale, low-latency backend services that score and protect web and API traffic against automated abuse, working at the core of our real-time detection platform.
What youll do:
High-Scale Engineering: Design, build, and maintain distributed, high-throughput backend services processing hundreds of thousands of requests per second with strict tens-of-milliseconds latency targets.
End-to-End Ownership: Own services from architecture and implementation to deployment and reliability. This includes full-stack instrumentation (monitoring, alerting, and tracing) to detect and mitigate production issues.
Product Innovation: Implement and evolve real-time detection and decisioning flows within the Sightline Cyberfraud Defense platform, collaborating with security researchers, data science, and product teams.
Cloud-Native Operations: Build and operate services in a Kubernetes environment using a modern GitOps stack (Go, Kafka, Redis, MongoDB, BigQuery, ArgoCD, Pulumi, Crossplane), ensuring robust rollout strategies and safe migrations.
AI-Forward Engineering: Demonstrate a deep passion for the AI-first development frontier and an expert-level ability to leverage assistants and agents to radically accelerate the entire lifecycle - from architectural scaffolding to automated tasks, skills, and complex debugging/testing.
Cross-Functional Collaboration: Partner with adjacent teams to design end-to-end flows that balance security, performance, and customer experience.
Technical Leadership: Contribute to technical design reviews and code reviews, raising the bar for quality and operational excellence across the team.

We're building Cyber Threat Intelligence platform - an AI-first product that harvests, contextualizes, and serves threat intelligence at scale. We're looking for a Python-native backend engineer to own the infrastructure that makes this possible.
You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration - exposing CTI insights as a service to UI components, APIs, and autonomous agents across the ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
The Responsibilities:
Build the tooling and infrastructure that enables AI agents to consume and reason over threat data.
Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights.
Serve curated CTI data to various consumers - dashboards, internal services, and other agents in the platform.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Design and scale agent-based systems along with robust evaluation frameworks.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Create developer tooling and experiences that make the platform usable for other engineers building on top of it.

We are looking for a seasoned, strategic Senior Fullstack Engineer to help shape the future of our work in Agentic AI. This critical role involves end-to-end development of advanced client and server features, handling large-scale data, aggregations, and cutting-edge UI/UX design. You will work on mission-critical technologies, collaborating with engineering, design, and data science teams to deliver impactful solutions.
What you'll do:
Design and implement scalable fullstack architectures using React and Node.js.
Develop and maintain high-performance services and data pipelines, managing large-scale data aggregations.
Collaborate with cross-functional teams - including product, design, and research - to integrate and ship new features.
Troubleshoot complex production issues and optimize system performance.
Champion secure coding practices and clean code standards.

ThreatCloud AI is the intelligence engine powering our company's entire security ecosystem. We're looking for a talented, passionate and highly motivated software developer who gets excited about building mission-critical systems that can't go down.
You'll architect and scale cloud-native services that analyze threats and stop attacks as they happen - not tomorrow, not in five minutes, but now. Every line of code you write directly impacts the security of enterprises worldwide, operating at massive scale with zero tolerance for downtime.
Key Responsibilities
Design, develop and maintain real-time threat detection services that operate at global scale
Build distributed systems using a mix of relational and non-relational databases to handle high-velocity threat intelligence
Apply cloud deployment best practices to ensure high availability and performance under extreme load
Collaborate in an agile environment where your technical decisions directly impact customer security.

Were looking for a hands-on Senior Automation Engineer to join our QA Automation team and play a key role in shaping the quality, scalability, and reliability of SaaS cyber platform.
In this role, youll own and evolve automation strategy, design robust testing systems, and influence engineering practices across teams. Youll work on complex cloud, security, and data-driven flows, while using AI tools as part of your daily workflow to accelerate development, improve test coverage, investigate failures, and increase automation efficiency.
The Responsibilities:
Lead the design, development, and maintenance of automated tests across UI, API, and integration layers.
Collaborate closely with developers and QA engineers to define robust test strategies and drive quality from the ground up.
Build and evolve scalable, maintainable test frameworks that empower fast and confident delivery.
Integrate automation into CI/CD pipelines, maintaining high coverage across services and components.
Participate in feature planning to align test efforts early and ensure full lifecycle coverage.
Leverage infrastructure-as-code and scripting to streamline and optimize testing environments.

We are seeking a Senior AI Engineer to join core product organization, where you will design, build, and scale next-generation AI systems powering real-world cybersecurity use cases across our diverse product portfolio (Posture, Detection, and CTI). This role focuses on developing production-grade systems leveraging LLMs, advanced machine learning, and agent-based architectures.
You will join a team within Cyber R&D organization-leading the companys core product portfolio- while driving AI innovation and establishing engineering best practices across the domain. The team focuses on building and optimizing large-scale AI systems, including LLM-based solutions and advanced multi-agent workflows, working closely with data scientists and researchers to bring ideas into production.
The Responsibilities:
Design, build, and own end-to-end AI solutions- from data collection and preprocessing to model training, evaluation, and production deployment.
Optimize systems for performance, scalability, and reliability in production environments.
Collaborate closely with product, design, and engineering teams to identify and deliver AI-driven capabilities that address real customer needs.
Stay up to date with emerging AI/ML technologies, frameworks, and best practices, and apply them where they create real impact.
Work across the stack, contributing to backend systems and data pipelines that support large-scale AI applications.
Troubleshoot and resolve complex system issues, including performance bottlenecks, race conditions, and memory-related challenges.
Approach problems with a strong analytical mindset, delivering robust solutions while contributing to a high-performing, collaborative team environment.

we are looking for a Research Scientist - Sovereign AI Research.
We are hiring across the following specializations. We expect depth in at least one area and the intellectual range to collaborate across them.
Computer Vision: object detection, segmentation, multimodal grounding, vision-language models, contrastive and self-supervised representation learning, low-resource and few-shot visual recognition.
NLP / Speech: LLMs, NERs, relation extraction, span-based and generative IE, semantic textual similarity, multilingual and cross-lingual transfer.
Reinforcement Learning: MDPs, POMDPs, model-based and model-free RL, Online Offline methods, reward modeling, sim-to-real transfer, compute-aware planning.
Graph Learning: GNNs, graph clustering, community structure, generative methods, knowledge graph embeddings, dense and sparse semantic retrieval.
Optimization: convex and nonconvex optimization, constrained and Lagrangian methods, combinatorial and integer programming, knowledge distillation (response, feature, and relation-based), test-time optimization, Bayesian optimization, resource-aware inference.
Representation Learning: contrastive learning, self-supervised and unsupervised pre-training, disentangled representations, metric learning and embedding spaces, cross-modal and multimodal alignment, meta learning (hypernetworks), transfer learning and domain adaptation, probing and interpretability of learned representations, world models.
Neurosymbolic AI: neuro-symbolic integration, differentiable theorem proving, inductive logic programming (ILP), probabilistic soft logic (PSL), causal inference and structural causal models (SCMs), programmatic and compositional reasoning
Responsibilities:
Define and execute a research within your track, experiments, quality gates, and upper bounds in rigorous manner.
Collaborate across tracks on system integration and cross-disciplinary research.
Collaborate work with engineering teams until production.
Mentor junior researchers and contribute to a culture of technical excellence

we are looking for a Research Infra Engineer.
As a Research Infra Engineer, you will build and operate the shared platforms that power cyber research: data ingestion, connectivity to internal/external systems, scalable analysis environments, and self-serve tools which allow the team moving faster.
Youll partner closely with CyberAI researchers to translate research needs into reliable, secure, cloud-deployed capabilities used across the group. Your goals are to reduces research-toil, improves reproducibility and code quality, and accelerates the path from prototype to shared capability.
The Responsibilities:
Design, implement, and iterate on internal platforms that support research workflows (e.g., data ingestion, enrichment, indexing, search, labeling, evaluation harnesses, experiment tooling).
Develop durable pipelines and connectors to bring in and normalize research data sources.
Create reusable libraries, templates, CLIs, and services that enable researchers to run analyses and experiments safely and repeatably.
Own deployments, reliability, observability, access control, and cost/performance of the research stack so its usable by all researchers.
Work closely with CyberAI researchers on the development of next-generation artificial cyber researchers and AI-driven analysis capabilities.

Were looking for a Python Engineer who is passionate about building high-quality software and solving complex technical challenges. In this role, you'll design and develop production-grade Python services that integrate with third-party devices and platforms, enabling reliable data collection at scale. The systems you build will power our AI platform, providing the critical data foundation behind our products.
The Responsibilities:
Design and deliver production-grade, high-quality and robust code.
Research a wide range of software and network devices to find the best data collection solutions.
Collaborate with customers to resolve issues and expand collection portfolio.
Prioritize collection capabilities together with our product team based on customers needs and define milestones.
Work effectively within a team, contributing to a collaborative and innovative development environment.

we are a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries.
We're building AI to tackle one of the hardest operational challenges in business: getting workforce management right across many markets, each with its own tax rules, labor laws, payment rails, and constantly shifting policies.
In this role on our AI team, you'll build and scale core AI systems that power our company's products. You'll work across agentic document intelligence, autonomous agents, compliance AI, and ML-powered insights, prototyping quickly, building robust evaluations, and shipping production-grade AI with real business impact.
What You'll Do
Build and ship AI/ML solutions using LLMs, agents, RAG, and document understanding models, alongside classic ML
Prototype quickly, validate feasibility, and turn strong POCs into production systems
Evaluate models and architectures, apply testing and guardrails to improve agent and service reliability
Research and apply emerging techniques: multimodal/document AI, agentic frameworks, synthetic data generation, and new architectural approaches
Work cross-functionally with product, R&D, and compliance teams to deliver end-to-end solutions
Contribute to scalable, secure architecture and engineering best practices for AI delivery.

Were looking for a data-driven and business-savvy Analyst to join our growing data team.
In this role, youll work closely with our Marketing, Finance, and Sales teams to analyze performance, connect marketing and financial data, and build models that support strategic decisions.
Youll play a key role in translating data into clear business insights that drive growth, efficiency, and profitability.
Key Responsibilities
Partner with Marketing, Finance, and Sales teams to analyze performance, efficiency, and ROI.
Evaluate UA spend, ROAS, and growth metrics across channels, campaigns, and regions.
Build and maintain dashboards and reports in Cursor, Tableau and Looker to track key business and financial KPIs.
Develop and maintain risk models that help guide company decisions and improve forecasting accuracy.
Conduct cohort and funnel analysis to identify performance trends and growth opportunities.
Collaborate with Data engineering and finance teams to align top level metrics with company financial reporting.
Present actionable insights and recommendations that influence both strategy and operations.