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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'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 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.

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.

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.

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 Applied Researcher/ Data Scientist to join core product organization, where you will build and deploy next-generation AI models powering real-world cybersecurity use cases across our diverse product portfolio (Posture, Detection, and CTI). The role centers on building and scaling intelligent systems powered by LLMs, advanced ML techniques, 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 setting best practices across the domain. The group focuses on developing next-generation technologies, including training and optimizing LLMs and building advanced multi-agent workflows, while mentoring data scientists across R&D.
As a key technical leader, you will guide the evolution of our AI capabilities-converting cutting-edge ideas into impactful, production-ready systems and shaping our long-term direction.
We are looking for visionary applied researchers eager to take on ambitious challenges and push the boundaries of AI in cybersecurity.
The Responsibilities:
Design and build advanced AI models and systems that power core products and address real-world cybersecurity challenges.
Own initiatives end-to-end from identifying customer-driven problems and shaping solutions to experimentation, prototyping, and production deployment.
Drive forward new ideas and research directions, turning emerging concepts into practical, scalable solutions.
Influence the organizations roadmap and contribute to long-term technical strategy across AI and product landscape.

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.

Were looking for a highly technical, automation-driven Hubspot expert to own and optimize our HubSpot ecosystem and the workflows that power our Sales teams. If you enjoy building scalable automations, integrating tools and solving operational challenges with low/no-code vibe coding, youll thrive in this role.
Why Youll Love This Role:
High ownership of GTM systems and automation infrastructure.
Ability to build workflows that directly impact growth and operational efficiency.
Fast-moving environment with room for creativity, experimentation, and innovation.
Meaningful cross-department influence, helping unify Sales, Product, and R&D priorities.
Hiring manager: Nir Slonim, VP M&A (Linkedin profile)
Responsibilities
HubSpot Ownership
Serve as the primary owner of HubSpot across Marketing, Sales, and Service Hubs.
Build and optimize workflows, pipelines, properties, scoring models, and lifecycle automations.
Maintain HubSpot data hygiene, architecture, naming conventions, and user setup.
Automation & Integrations
Design and maintain advanced automations using external no-code tools (Zapier, make.com, and etc.) and working closely with the Product & R&D departments.
Troubleshoot sync issues, workflow conflicts, and integration failures.
Data, Reporting & Insights
Work with Product and Data to define which data is collected and how to visualize it.
Build and maintain dashboards that track sales activity, deal flow, and performance trends.
Process Design & Optimization
Map, refine, and automate processes for lead management, lifecycle stages, routing, handoffs, etc.
Identify operational gaps and implement scalable solutions.
Create documentation, training, and best practices for GTM teams.
Cross-Functional Collaboration
Partner closely with Marketing, Sales, CS, and Product to translate operational needs into system builds.
Support team enablement on HubSpot tools, dashboards, and automations.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world security research. You'll help us harness the power of trillions of security signals to rapidly diagnose and alert the latest attacker behaviors, drive critical context-rich signals, construct new tools and automations to support customers, identify threats, and detect advanced attacker techniques.
The Responsibilities:
Analyze various network devices, configurations and security products
Implement methods and algorithms to discover network topology, relationships between devices and potential lateral movement paths
Conduct network security assessments to identify weaknesses in customers network infrastructure, and recommend mitigations to monitor and limit unauthorized access
Develop research tools and frameworks to perform automatic analysis of network devices and security products
Research and analyze network-related cybersecurity threats and trends
Work closely with other internal engineering and AI teams to integrate new capabilities into our platform and guide cross-product architectural decisions
Act as a security subject matter expert for multidisciplinary teams

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.

We are looking for a Technical Product Manager to drive the development of the internal platforms and tools that power our business. This includes building the back-office systems, acquisition and monetization products that allow us to evaluate, acquire, and scale mobile apps efficiently.
You will also play a role in shaping AI-driven systems that support our acquisition strategy, helping us identify and act on the most promising opportunities. Working closely with engineering, monetization, data, operations teams and the leadership, youll ensure our tools are reliable, scalable, and create real business impact.

Were looking for a curious and analytical Product Analyst to join our Product Analytics team. In this role, youll work closely with Product Managers, Growth teams, and engineers to analyze product performance, uncover insights, and support data-driven product and business decisions across our mobile app portfolio.
Key Responsibilities:
Analyze product performance across user funnels, engagement, retention, and monetization in our mobile apps.
Partner with Product Managers to define success metrics and evaluate the impact of new product features.
Design, analyze, and interpret A/B tests to measure product improvements and optimizations.
Translate product questions into structured analyses and clear, actionable insights.
Define and maintain product analytics events and tracking specifications in collaboration with Product and Engineering teams.
Ensure accurate instrumentation and reliable tracking of user behavior across the apps.
Build and maintain dashboards and reports using Tableau and Looker.
Use SQL to explore large datasets and identify patterns, opportunities, and performance drivers.
Ensure product metrics are clearly defined and consistently used across dashboards and reporting tools.
Present insights and recommendations to product teams and other stakeholders.

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.