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we are seeking an experienced and highly motivated Support Engineer to join our dynamic Support team. As a Support Engineer, you will play a critical role in ensuring the success of our customers by providing technical support and delivering solutions to issues raised by customers. You will work closely with our customers, as well as collaborate with cross-functional teams to enhance the overall customer experience.
Responsibilities:
Customer Support:
Provide high-quality technical support to customers via various channels (email, chat, phone).
Troubleshoot and resolve issues promptly and effectively.
Collaborate with customers to understand their needs and provide tailored solutions.
Technical Expertise:
Develop and maintain in-depth knowledge of our to effectively troubleshoot and resolve customer issues.
Stay updated on product enhancements, new features, and industry best practices.
Problem Resolution:
Analyze and diagnose technical issues reported by customers and provide timely resolutions.
Escalate issues to the development team when necessary, providing detailed information for efficient problem resolution.
Document troubleshooting steps and solutions for internal and external knowledge bases.
Customer Advocacy:
Advocate for customer needs and collaborate with internal teams to address and prioritize product bugs and product improvements.
Continuous Improvement:

Contribute to the development of documentation to streamline support processes.

Join our world-class team of researchers and engineers in Tel Aviv, Israel, and play a pivotal role in architecting a more secure foundation for the enterprise browser landscape. This is not just a job; it's a chance to leave your mark on the future of security. Become a pioneer in shaping the core of our Chromium-based enterprise browser and push the boundaries of what's possible.
Your Impact
Lead the change - Own critical features from conception to deployment, shaping the core of our Chromium-based enterprise browser
Mastermind innovations - Solve difficult challenges, keeping our users experience smooth and secure
Empower your team - Mentor and guide fellow engineers, sharing your expertise and fostering a collaborative environment where brilliance thrives
Champion excellence - Set the bar high, driving continuous improvement in processes, tools, and the overall product
Join us and
Work alongside the best in the industry, pushing the boundaries of enterprise security in a collaborative and inspiring environment
Shape the future of a critical product, impacting millions of users and making a tangible difference in the cybersecurity landscape
Grow as a leader and innovator, with unparalleled opportunities to mentor, research, and shape the technical direction of our team.

We are seeking a Principal Windows Internals Engineer for our Tel Aviv R&D center. In this role, you will be a key member of the team that designs and develops the low-level Windows components for our revolutionary Cortex XDR endpoint security product, directly contributing to our mission of protecting our digital way of life from advanced cyberattacks.
Key Responsibilities
Contribute to the research and development of Windows drivers, services, and other system-level components.
Challenge the status quo by finding and implementing innovative solutions to counter sophisticated cyberattacks.
Proactively collaborate and exchange information with engineers, security researchers, and product managers to lead projects and initiatives.
Design, develop, and debug complex, high-performance, multi-threaded code in C++.
Conduct in-depth analysis of system internals and focus on the details to produce robust, high-quality security features.
Apply learning from security research and reverse engineering to simplify complex problems and develop practical solutions.

In this role, you will be the architect of our "security brain." You will write the low-level code that observes what is happening (eBPF/Golang) and build the AI models that understand, diagnose, and prevent issues (LLMs/Python).
Key Responsibilities
1. The "Eyes": eBPF Development & Systems Engineering
Lead the Cimon Agent: Spearhead the active development of our high-performance eBPF agent "Cimon" using Golang and C.
Kernel-Level Innovation: Design and implement eBPF programs for deep observability, runtime security, and container monitoring.
Performance Obsession: Write beautiful, highly efficient code that runs in the Linux kernel with minimal overhead.
Community Leadership: Actively participate in the eBPF and open-source communities, contributing code and presenting technical deep dives at conferences.
2. The "Brain": AI Innovation & Security Research
AI-Driven Security Solutions: Architect and prototype models for:
Automated Exploitability: Checking SAST/SCA findings for validity.
AI Remediation: Automatically fixing Dockerfile misconfigurations and generating patches.
Model Detection: Identifying AI models embedded within codebases.
Benchmarking & Rigor: Design evaluation frameworks to measure model accuracy, false positives, and robustness in security contexts.
Prompt Engineering: Shape prompt strategies and workflows to translate real-world security challenges into actionable AI logic.
3. The Intersection: Collaboration & Evangelism
Cross-Functional Leadership: Serve as the technical link between the AI development team and the core security engineering team.
Thought Leadership: Author whitepapers, technical blogs, and deliver talks on the cutting edge of "AI for Systems Security."
Mentorship: Guide engineers on best practices for both low-level systems design and AI integration.
Why This Role?
No Context Switching Cost: You won't just be researching; you will be building the tools you research. You control the data collection (eBPF) and the analysis (AI).
Deep Tech Focus: This isn't a wrapper-API role. You will be dealing with kernel bypasses, memory safety, and LLM hallucinations all in the same week.
Impact: Your work will directly power the next generation of automated security remediation.

The ASPM group is pioneering a new era of Application Security. By blending rapid innovation with real-world customer insights, we are building a transformative platform designed to obsolete legacy challenges and redefine the AppSec standard.
Join the ASPM group as a Senior Backend Developer where youll have a direct hand in shaping our technical roadmap. Were deep in the GCP/K8s/TypeScript ecosystem, building a security product that actually solves field problems. We need someone who is passionate about clean, cloud-native architecture and ready to lead technical initiatives.
Key Responsibilities
Be a key contributor to designing and building our cloud-native platform that secures the modern software development ecosystem, focusing on application security posture (ASPM).
Own complex backend features from concept to production, directly shaping the core infrastructure and services of this critical security offering.
Partner with product managers, architects, and engineers to deliver impactful, high-quality security solutions to our customers.
Continuously evaluate and adopt new tools and technologies to improve development velocity and enhance the capabilities of our product.
Be an advocate for clean code, scalable architecture, and strong engineering practices.

Required Software Engineer, Filesystem
About The Position:
We are architecting a new approach to the enterprise data stack built for the AI era. The Data Platform sets the standard for AI infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that make GPUs, AI, and other performance-intensive workloads run faster, work more efficiently, and consume less energy.
We are pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds most innovative enterprises and research organizations, including 12 Fortune 50, reach discoveries, insights, and outcomes faster and more sustainably. Were passionate about helping our customers overcome complex data challenges to accelerate their innovation and help grow their businesses. We invite you to join us on this exciting journey if you share our passion.
As a Software Engineer, youll:
Be a key part of our Filesystem product area, dedicated to enhancing the quality, robustness, and performance of the core features of our large scale storage solution. Youll be working closely with highly experienced developers to develop and expand the capabilities of our storage solution, with emphasis on quality and high performance.
Key Responsibilities:
Assist in the development and enhancement of distributed file system components to support data management features such as snapshots, replication, and tiering.
Work closely with senior developers, assisting them on projects while gaining insights and understanding of complex tasks and workflows.
Have a strong focus on quality with emphasis on designing and implementing unit tests.
Contribute to performance optimization efforts by learning to identify bottlenecks and implementing effective solutions.
Engage in ongoing learning to enhance the productivity, reliability, and maintainability of software solutions.
Collaborate on the design, architecture, and implementation of next-generation storage architecture.

At our company, we are on a mission to bring peace of mind to businesses by helping them deliver safe code faster. Trusted by security teams worldwide, we have a proven track record of success and a culture that values world-class talent. Our platform combines state-of-the-art technology with cutting-edge design to provide seamless and secure experiences for our users. We are growing rapidly and looking for passionate, talented individuals to join our dynamic team.
As a Backend Developer, you will be involved in all stages of production from architecture, designing, coding, deploying and maintaining.
End-to-end development
Contribute to technological and architectural decisions
Work collaboratively with professional developers, Designers, and Product Managers to deliver a high-quality product.
We are using: .net core C#, mongodb, redis, kafka, rds-postgres, kubernetes, graph-db Arango DB, python (our cli), fully CI/CD, terraform, docker

Required Senior Software Engineer, Platform
About The Position:
We are architecting a new approach to the enterprise data stack built for the age of reasoning. We set the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
We are pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
What youll be doing:
As our new Senior Software Engineer, youll be joining the Platform group. This group of highly-experienced and detail-oriented engineers proudly owns the network stack, storage stack, task scheduling infrastructure and more.
As a Senior Software Engineer, youll:
Play an active role in creating jaw-dropping designs, writing impressively efficient code, and conducting collaborative code review;
Share fresh ideas and architectural guidance for our core areas of distributed computing, high-performance storage, and cloud computing; and
Challenge our benchmarks with performance testing around IO and storage throughput.

Required Senior Software Engineer, Platform
About The Position:
We are architecting a new approach to the enterprise data stack built for the age of reasoning. We set the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
We are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
What youll be doing:
As a Senior Software Engineer, you'll be an integral part of our Platform Group-a hands-on team of seasoned engineers responsible for building and optimizing the critical low-level components that power our infrastructure. This includes the networking stack, storage systems, task scheduling framework, and other foundational systems.
As a Senior Software Engineer, youll:
Play an active role in creating jaw-dropping designs, writing impressively efficient code, and conducting collaborative code review;
Share fresh ideas and architectural guidance for our core areas of distributed computing, high-performance storage, and cloud computing; and
Challenge our benchmarks with performance testing around IO and storage throughput.

Required Senior Software Engineer, Filesystem
About The Position:
We are architecting a new approach to the enterprise data stack built for the age of reasoning. We set the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
We are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
What you'll be doing:
The filesystem group is a high-powered team responsible for implementing algorithms at scales of 100s of PBs. The team also manages the core filesystem components, including blocks and metadata management, snapshots, RAID logic, object-store tiering, unique cloud disaster recovery features, and more. And most importantly, they skillfully handle the most delicate part of the solution - our customers data.
As a Senior Software Engineer, youll:
Design and develop distributed file system components to support data management features such as snapshots, replication, tiering, and advanced data reduction algorithms;
Participate in the design, architecture, and implementation of next-generation storage architecture;
Assist in technically managing initial storage implementations including proofs-of-concept;
Diagnose bottlenecks and implement clean and performant solutions to achieve unbeatable performance;
Design algorithms and data structures to make sure customer data is safe and coherent across our solution in a wide variety of failure modes; and
Constantly revisit the architecture, algorithms, and methodologies to improve productivity, reliability, and maintainability.

Required Senior Automation Engineer
About The Position:
We are transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales, providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation.
We are a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the worlds leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure their success. If we sound like your kind of people, join us!
About the role:
Our Automation Engineers are part of a team of highly skilled Python programmers that are responsible for creating test coverage for all system functionalities and configurations. This is a challenging but crucial engineering task since the testing of a feature in storage can be more complex than its actual implementation. Together with the team, you will be responsible for the products reliability and stability, which is a core requirement of any enterprise storage product and is vital to its success.
As a QA Automation Engineer, youll:
Create detailed, well-structured test plans and test cases;
Implement automated distributed tests in Python;
Gain an in-depth understanding of a complex, clustered system and be able to accurately analyze failures in those systems;
Collaborate with the R&D team in order to identify and analyze problems, as well as verify and test solutions; and
Become a storage expert who understands the terminology, protocols, configurations, architecture, and practicalities in the frontier of storage technology.

We are looking for a Group Lead to architect our System Verification & Simulation efforts. This is not a traditional QA role. We are seeking a veteran Software Engineer or Systems Architect to build the "adversarial" distributed system that pushes our platform to its theoretical limits.
Your mandate is twofold:
Build a validation platform capable of simulating massive-scale AI workloads.
Transform the group into an AI-native engineering force. You will leverage Generative AI and LLMs to multiply engineering velocity, automate complex scenario generation, and achieve 1000x the coverage of traditional teams.
What You Will Build & Lead:
Engineering, Not Scripting: You will lead a team of 20+ engineers who write production-grade code (Python, Go, C++) to create a validation ecosystem.
Your team operates with the same rigorous code reviews, design docs, and architectural standards as the Core Kernel team.
Lead the AI-Native Transformation: You will pioneer the integration of AI agents and LLMs into the engineering workflow. This means using AI for synthetic workload generation, automated root-cause analysis of crash dumps, and intelligent test code generation, making your team an ultra-productive powerhouse.
Architecting "The Breaker": Design and build a massive-scale distributed validation framework. You will focus on orchestrating millions of concurrent IO operations to hunt down race conditions, memory leaks, and network partition behaviors that only appear at extreme scale.
Simulation & Chaos: Evolve our infrastructure to simulate real-world entropy. You will champion the development of tools that inject latency, packet loss, and hardware failures into the cluster to prove resilience (Chaos Engineering).
Deep-System Telemetry: Move beyond "Pass/Fail." You will build the observability pipelines that track P99 latency, jitter, and recovery times, providing deep feedback loops to the Core team on architectural bottlenecks.

Were looking for a creative, driven, and organized Content Marketing Manager to support our storytelling across digital channels. In this role, youll contribute to and execute a content strategy that aligns with our marketing objectives and business goals-helping to grow brand awareness, drive engagement, and generate pipeline.

Youll write and edit a wide range of assets, manage content calendars, and work closely with teams across Product Marketing, Brand, Demand Gen, and SEO. This role requires a passion for compelling narratives, a sharp eye for detail, and the ability to manage multiple content initiatives at once.

What You'll Own:
Develop, write, and optimize engaging content assets including video scripts, blog posts, website copy, landing pages, eBooks, whitepapers, and email nurtures.
Tailor and adapt content formats for different audiences, regions, and channels (web, email, social, paid media, sales enablement), while maintaining brand voice.
Repurpose long-form content into short-form assets for email, social media, and other targeted use cases.
Collaborate with SEO, demand generation, brand, and product marketing teams to align content with campaign goals and performance targets.
Partner with designers, video editors, and freelancers to deliver high-quality, multi-format content experiences.
Use and maintain editorial calendars to track deliverables, ensure consistency, and meet deadlines.
Leverage analytics to evaluate content performance, optimize future assets, and report on key metrics.
Stay informed on content marketing trends, digital innovations, and competitor strategies to keep our content fresh and effective.

As a Marketing AI & Automation Architect, you will help design and build the systems, workflows, and tools that enable this transformation. You will partner closely with teams across Marketing and Revenue Operations to identify opportunities where AI can unlock scale, accelerate campaign execution, improve insights, and streamline how work gets done. From early campaign ideation to operational execution, you will translate marketing needs into practical AI-powered solutions.

This is a hands-on creator role, which sits at the intersection of marketing strategy, technology, and AI engineering. You will design and build AI-powered workflows, agents, and integrations that connect our marketing tools, data, and processes into a smarter, more scalable system. Your work will help marketers focus more on strategy, creativity, and growth, while AI supports research, execution, and operational scale.

What You'll Own:
Partner with Marketing teams to identify opportunities where AI can accelerate work, improve insights, and scale campaign execution.
Design and build AI-powered marketing workflows including AI automations, agents, and workflows that support key marketing activities such as research, content development, campaign planning, outreach preparation, and performance analysis.
Integrate AI into our Marketing technology ecosystem, connecting AI solutions to core systems including Salesforce, Monday, marketing automation platforms, and data tools using APIs, webhooks, and automation platforms.
Develop scalable, repeatable AI systems and workflows that enable teams to execute campaigns, generate insights, and produce content more efficiently.
Implement monitoring, guardrails, and data quality processes to ensure AI systems are reliable, responsible, and scalable.
Help teams incorporate AI tools and workflows into their daily work and act as a trusted advisor on how to use AI effectively.

Required DevOps Engineer
About The Position
We are architecting a new approach to the enterprise data stack built for the age of reasoning. We set the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
WE are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
What youll be doing:
We are at the forefront of automation, continuously striving to streamline our operations across all aspects of our infrastructure. We maintain a vast multi-cloud environment spanning AWS, GCP, Azure, and OCI, as well as a robust on-premises infrastructure.
Our team is responsible for maintaining and optimizing these diverse environments.
Key Responsibilities:
As a DevOps Engineer, you'll play a crucial role in supporting and expanding our automation efforts.
You'll be responsible for designing, implementing, and maintaining scalable and reliable infrastructure solutions across our multi-cloud and on-premises environments.