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We are seeking for a Product Manager to develop an advanced system for expert Data Analysts. The role encompasses leading the full product lifecycle:
Build a technology solutions roadmap
Collaborate in identifying the product vision and development strategy aligning with customer needs and business goals
Define key achievements and success metrics for the product
Conduct quantitative and qualitative analyses to measure product success and inform decision making
Initiate, nurture and plan new ideas, technological solutions and products and drive their implementation both internally and through outsourcing.

We are proud to be expanding our leadership team with a VP of Engineering & GM to lead our Israel office and the Enterprise engineering team in Tel Aviv. This is a mission-critical part of our global engineering organization. Youll oversee a growing team of 50+ engineers and partner closely with Product, Security, and GTM teams to ship high-impact and high-quality cybersecurity solutions.

As well as being a technical leadership role, youll serve as the General Manager of our Israel office, shaping the culture, operations, and global connectivity of the site. Youll play a key part in shaping how our globally distributed teams work together bringing alignment, clarity, and cohesion across time zones and functions.

Youll partner closely with our CEO, CTO, and SVP of Engineering, navigating seamlessly across multiple senior stakeholders while driving both local excellence and global alignment. With deep technical expertise in cybersecurity and AI, and strong operational and commercial presence, youll play a pivotal role in building a safer, more human Internet.

This role reports to our SVP & Global Head of Engineering and is based in Tel Aviv.

Responsibilities

Engineering & Technical Leadership
Lead, grow, and mentor a 50+ person R&D team based in Tel Aviv, covering backend, frontend, data engineering, and more.

Set high standards for software design, architecture, performance, and reliability.

Work closely with Product and Research teams to define and deliver on our product roadmap.

Collaborate with global Engineering peers to drive cohesive execution, system design, and technical decision-making.

Drive innovation in AI/ML and modern security architectures, ensuring we remain at the forefront of defending the internet.

Technical Brand & Thought Leadership
Contribute to our external technical brand through blogs, conference talks, open-source contributions, or community leadership.

Be a culture carrier for engineering excellence and cross-functional collaboration.

Expand the Engineering brand in Israel and globally as a thought leader in cybersecurity and AI.

Required Sr. ML Engineer- Platform
The Job
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world ML services and customer deployments. In this role, you'll own reliability, velocity, and cost efficiency for our products and customer deployments.
Responsibilities
Design, develop, build and maintain the best solutions for our production platform.
Everything as a code approach (IaC): Run our infrastructure with a wide range of technologies including Ansible, Terraform, and Kubernetes
Work closely with our data scientists and developers to create training, inference and serving pipelines.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production, and test environments.

We are looking for a senior Windows developer who is passionate about software design, code quality, and performance. The job involves writing production-grade and highly performant code that will be shipped to thousands of endpoints. The role includes developing for the Windows kernel to collect the necessary data as well as writing user-mode code for integrating the kernel driver into our sensors architecture.
Responsibilities
Write production-grade C/C++ code to create robust and high-performance software drivers and applications for Windows.
Investigate possibly undocumented system behavior to enable product features or to resolve software issues.
Optimize code for maximum efficiency and resource utilization, ensuring the smooth operation of our solutions.
Collaborate closely with operating system internals to gather essential data for analyzing abnormal behavior on endpoints.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices.
Work effectively within a team, contributing to a collaborative and innovative development environment.
Apply your problem-solving abilities to address complex technical challenges in the cybersecurity domains.

Required Senior Backend Engineer- CTI
The Job
We are on an expedition to find you, someone who is passionate about developing intuitive, out-of-this-world scalable, high-performance backend system. You'll take a lead role in developing the backend infrastructure to efficiently handle, process, and store massive volumes of data. Your expertise will play a crucial part in building a scalable, high-performance backend system that serves as the foundation for other services within the platform.
Responsibilities
Be a significant part of the development of backend infrastructure to efficiently handle, process, and store vast volumes of data.
Architect and build a scalable, high-performance backend system that supports various services within the platform.
Translate intricate requirements into meticulous backend design plans, maintaining a focus on software design, code quality, and performance.
Collaborate with cross-functional teams to implement backend and data-handling techniques.
Apply your expertise to create robust backend solutions.
Leverage your proficiency in cloud platforms such as AWS, GCP, or Azure to drive strong backend engineering practices.
Demonstrate strong debugging skills, identifying issues such as race conditions and memory leaks within the backend system. Solve complex backend problems with an analytical mindset and contribute to a positive team dynamic.
Bring your excellent interpersonal skills to foster collaboration and maintain a positive attitude within the team.

Required Senior Backend Engineer - Posture
The Job
Were building the next generation of autonomous cybersecurity technology - systems that think like attackers to continuously uncover security gaps in enterprise environments.
As a Senior Engineer in our Attack Simulation Platform team, youll design and build the engines, data models, and intelligent agents that simulate advanced adversaries across large-scale networks. Youll combine strong software-engineering skills with deep security intuition to create systems that mirror human attacker behaviour and discover real weaknesses before attackers do.
Responsibilities
Develop core simulation and orchestration components in Go (primary language) and integrate with in-house AI models.
Model and simulate attack paths across complex enterprise environments (identity, endpoint, network, and cloud).
Design and build AI-driven agents that emulate adversarial behaviours such as lateral movement, privilege escalation, and persistence.
Collaborate with red-teamers, researchers, and data scientists to translate threat intelligence and real attack TTPs into executable logic.
Contribute to architecture decisions, scalability, and performance optimization for distributed simulations.

Were on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building the AI application foundation behind our next-generation cyber-AI product.
This team owns the core backend and frontend infrastructure that powers all user-facing applications - as well as the agentic and conversational frameworks that bring intelligence and automation into the experience.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the systems that enable every other Engineering group to create fast, scalable, and intelligent apps on top of our platform.
Responsibilities
Lead a multidisciplinary team responsible for backend services, frontend frameworks, and AI agent infrastructure - the technical bedrock of our product experience.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and build robust frameworks and systems that power all customer-facing applications.
Develop the agentic and conversational architecture enabling LLM-powered user interactions and intelligent workflows.
Collaborate with AI research, data, and product teams to seamlessly integrate AI-driven capabilities into production systems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.

We are on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building our Sensor.
This team owns the entire endpoint agent, which is the backbone of our collection capabilities from Windows and Linux endpoints.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the agent that enables our fully AI-driven platform to identify and respond to real-time advanced persistent threats.
Responsibilities
Lead a team responsible for the endpoint product on Windows and Linux systems.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and code production-grade C++ to create robust and high-performance software applications.
Collaborate with backend, frontend, research and other teams within the company to deliver state-of-the-art solutions for challenging problems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices and guidelines.

We are looking for an experienced data Scientist who can leverage and develop innovative Machine Learning, NLP, and generative AI technologies, for solving problems within a wide scope. As a part of our data Science group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI platform. You will work with Developers, Analysts, Product Managers, and business owners on growth opportunities and new ideas. You should have a strong background and experience in the Machine Learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.
What am I going to do?:
* Take leading roles in projects such as search engine ranking, promoted ads in our search results, recommendations, users segmentation and personalization, online bidding optimization, text analysis, Real-Time predictions, live streaming data handling, exploration-exploitation problems, etc.
* Work closely with various departments in the company to provide advanced data Science solutions end to end.
* Write and own production models and code.
* Independent research and innovation in new content and technological domains.
* Lead and advise other team members.
* Continuously produce new initiatives and improvement ideas.
* Act as a leader of our AI platform. Develop models and framework solutions for the group.
Equal opportunities:
We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace, from our community to our product. We are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.

Required Director of AI Agents Research
The Job
Were on an expedition to find someone whos passionate about creating intuitive, out-of-this-world scalable, high-performance systems that power the future of AI. You'll lead an organization of engineers , MLOps teams, and more to redefine the next AI agentic infrastructure for multiple use cases across the product and organizations.
Responsibilities
Suggests AI strategy aligned with company goals (e.g., automation, personalization, product innovation).
Oversees AI research and development Mannaging Engineers , AI engineering, and MLOps teams.
Evaluates AI opportunities identifies where AI can deliver value and ensures ethical, scalable implementation.
Collaborates with executives to translate business needs into technical roadmaps.
Builds AI governance: compliance, ethics, and model accountability frameworks.
Collaborate with Engineering, Product, Security.

Required Automation Engineer
Tel Aviv Full-time
The Job
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world quality testing. In this role, youll play a critical part in developing innovative testing systems for our SaaS productensuring every release is fast, reliable, and built to scale.
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.

Required Senior NLP Researcher
Responsibilities
Conduct cutting-edge research in natural language processing and large language models.
Design, train, and optimize large-scale neural network models for advanced applications.
Transition research projects from ideation through deployment and scaling.
Collaborate closely with cross-functional teams, including domain experts, product managers, and engineers, to deliver impactful AI solutions.
Define and contribute to the AI and NLP product roadmap.

Required MLOps Engineer - AI Infra Group
Tel Aviv Full-time
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI infrastructure. This group builds scalable, high-performance AI systems for internal users and external customers, designed to run seamlessly across cloud and on-premise environments using the latest hardware advancements.
Responsibilities
Design, build, and maintain scalable Kubernetes-based infrastructure for ML workloads across on-premise and cloud environments
Architect hybrid infrastructure solutions enabling seamless model flow from on-premise training environments to cloud-based inference deployments
Implement model registry and artifact management strategies that support cross-environment synchronization, versioning, and governance
Design secure, efficient data and model transfer mechanisms between on-premise and cloud (networking, storage replication, caching strategies)
Implement and manage GPU scheduling, resource allocation, and cluster autoscaling for heterogeneous compute environments
Build and maintain CI/CD pipelines for ML systems, including model versioning, testing, and promotion across environments
Develop observability solutions (logging, monitoring, alerting) for ML infrastructure across hybrid deployments
Collaborate with ML Engineers to define infrastructure requirements and SLAs for training and serving workloads.

Required ML Engineer - AI Infra Group
Tel Aviv Full-time
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI infrastructure. This group builds scalable, high-performance AI systems for internal users and external customers, designed to run seamlessly across cloud and on-premise environments using the latest hardware advancements.
Responsibilities
Design and optimize LLM serving infrastructure using inference engines (vLLM, TensorRT-LLM, Triton Inference Server)
Implement and tune distributed inference strategies including tensor parallelism, pipeline parallelism, and multi-node serving
Develop and apply model compression techniques to optimize cost, latency, and memory footprint while maintaining model quality
Build self-service fine-tuning platforms that enable data scientists to run experiments (LoRA, QLoRA, full fine-tuning) in a standardized, reproducible, and governed manner
Optimize inference performance through batching strategies, KV-cache tuning, and speculative decoding
Develop reusable APIs, abstractions, and platform services for model deployment, scaling, and lifecycle management
Collaborate with AI researchers and product teams to productionize models and meet latency/throughput requirements
Evaluate and benchmark new model architectures, compression methods, and serving frameworks.

Required AI/ML Engineer AI Foundations Group
Tel Aviv Full-time
About The Position
Our AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Central to our proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.
Our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.
The Job
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI systems and ML pipelines to join our AI group. You'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and ML pipelines. Youll work closely with data scientists to translate research into scalable solutions and manage model deployment in both cloud and on-prem GPU environments.
Responsibilities
Design, build, and deploy production-grade ML models, AI agents, and end-to-end pipelines across cloud and on-prem GPU environments.
Maintain and optimize ML systems for performance, scalability and reliability, including model validation, inference speed, and resource efficiency.
Develop monitoring and observability tools such as alerts and performance metrics to ensure system stability in production.
Create and integrate APIs for ML services within microservice-based architectures.
Drive adoption of best practices for CI/CD, observability, and reproducibility in ML systems.