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We are looking for a NOC Engineer to join our growing TechOPS team.
The position consists of 4 shifts a week on nights and weekends in our R&D Center in Petach Tikva.
This position provides a great opportunity to enter the high-tech world and relevant for for students and graduates of technical degree or equivalent experience.
Responsibilities include debugging complex technical issues, investigating logs, writing SQL queries and monitoring our services.

We are seeking an experienced and talented marketing content writer to join our marketing content team and be part of working on a diverse range of marketing projects in the B2B area. The marketing content team is responsible for creating content for different marketing campaigns and projects, to support all stages of the marketing funnel. In addition, the team is supporting a wide range of communication needs, including client communication, product marketing, internal communication and more. We utilize different content strategies, working with all marketing channels and platforms to meet the company marketing KPIs. From education to selection, from brand awareness to lead-gen campaign, the content team is working on multiple projects, drafting market reports and byline articles, product related communications, sales collateral, digital content including landing pages, website and ads, and more. By joining our team, the content writer will enjoy the opportunity to work on a wide range of projects in a regional as well as global scale: case studies and presentations, industry reports and articles, videos and tutorials, social media campaigns and others. In this position the marketing writer will be working closely with the marketing design and the video teams, as well as with different stakeholders across all company departments.
The ideal candidate will have extensive professional experience as a marketing content writer for B2B companies and products, in the global high-tech industry, and solid marketing knowledge and expertise. Hands-on experience with AI-driven content workflows and advanced content operations tools is required. Additionally, the candidate must be highly organized, with the ability to manage multiple projects simultaneously and deliver high-quality work under tight deadlines.
Responsibilities:
Conceptualize and write different types of content, leveraging AI tools and content workflows to scale production while ensuring a consistent, compelling narrative, style, and brand voice in alignment with companys marketing strategy and core messaging.
Conduct research, using external, internal, and AI-driven tools, to gain an in-depth understanding of different aspects of our platform as well as the rapidly evolving our company industry.
Work with teams across the company, across different departments and regions, to support their marketing and communication needs
Deliver effective and impactful content on a variety of projects including market reports, white papers, content for the website, social media posts, newsletters, digital campaigns, case studies, presentations and others.
Work with our video team and product teams on creating different videos and tutorials
Work with our design team to create high quality marketing assets
Continually refine, optimize, and iterate on content based on feedback, performance analytics, and AI-driven insights.
Follow the editorial calendar and marketing plan, collaborating with other members of the marketing team, to ensure timely delivery of materials
Complete high-quality work on tight deadlines.

we are the worlds leading platform for global direct-to-consumer e-commerce, enabling brands and retailers to seamlessly sell worldwide, delivering localized experiences across markets.
Trusted by some of the worlds most recognized brands including Adidas, Alo Yoga, Logitech, Hugo Boss, Marc Jacobs, and Victorias Secret, we operate on a massive global scale through dynamic teams across North America, EMEA, and APAC.
Our technology-based end-to-end solution combines advanced localization capabilities, streamlined global operations and extensive big-data analytics, covering everything merchants need to scale worldwide. Were a fast-moving, highly collaborative company where innovation, creativity, ownership, and impact are part of everyday work.
Responsibilities:
Lead technical discovery and solution-design workshops with merchant engineering, architecture, and business teams.
Understand the merchants existing e-commerce architecture, business requirements, operational processes, and technical constraints.
Define the most appropriate company integration approach across supported platforms, APIs, order management systems, and fulfilment solutions.
Design end-to-end solutions, including system interactions, data flows, integration responsibilities, dependencies, and technical risks.
Translate business requirements into clear technical specifications and implementation plans.
Act as the technical owner throughout delivery, ensuring the agreed solution is implemented correctly and aligned with our company best practices.
Guide merchants and partners through configuration, development, testing, launch readiness, and go-live.
Identify technical risks and complexity early, challenge non-scalable designs, and recommend practical alternatives.
Investigate complex integration issues by reviewing API payloads, logs, network traffic, system behaviour, and configuration.
Coordinate with Product and R&D when product changes, technical clarifications, or defect resolution are required.
Provide structured feedback to Product and R&D based on recurring merchant requirements and integration patterns.
Support internal teams through technical enablement, documentation, and knowledge sharing.

We're looking for a full-cycle SDR to drive growth across our product suite. You'll own the entire sales motion - from the first cold call to close - as you upsell and cross-sell the company Convert plan and Reviewers.com to Shopify merchants.

This isn't a traditional lead-gen SDR role. You'll be the direct link between our merchants and our Product and Marketing teams, turning every call into an opportunity - whether that's a merchant upgrading their plan, one who churned telling us why, or a new merchant discovering Reviewers.com for the first time.

If you're a self-starter who loves to sell, enjoys owning a process end to end, and is comfortable digging into data to sharpen your approach, we'd love to meet you.
As a Full Cycle SDR at our company, you will:
Cold call Shopify merchants to upsell and cross-sell the Convert plan and Reviewers.com.
Call merchants who uninstalled the app or haven't yet selected a plan to understand why and gather feedback.
Run demo calls for Reviewers.com, showcasing its value to prospective merchants and helping them create their first campaign.
Synthesize merchant feedback and share clear, actionable insights with our Product and Marketing teams.
Analyze call and pipeline data to identify trends, spot opportunities, and continuously improve conversion.
Run the day-to-day operations of the sales effort, including pipeline management, tracking, and reporting.
Sunday: OFF
Monday: 10:00 - 19:00 in office in Ramat Gan
Tuesday: 14:00 - 23:00 work from home
Wednesday: 14:00 - 23:00 work from home
Thursday: 10:00 - 19:00 in office in Ramat Gan
Friday: 9:00 - 18:00 work from home

Were looking for a skilled Applicative SQL Server DBA with a strong background in system design, SQL Server development, and a deep understanding of data architecture.
This position is a key role within our companys Data Department, which supports critical business decisions and manages complex financial processes - including reporting for NASDAQ compliance.
Responsibilities:
Design, develop, and maintain complex financial reporting solutions (including advanced SQL queries).
Investigate and troubleshoot data issues, validate results, and deliver high-quality ad-hoc reports and analyses.
Develop and maintain data pipelines that load data from external, heterogeneous sources using PowerShell and SQL scripts.
Support the migration of complex stored procedures and data processes from SQL Server to Snowflake.

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of the core functions at our company.
This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.
You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.
If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.
What You'll Do
Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.
Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.
Design and evolve our company's data models, creating a unified language across data coming from multiple integrations and systems.
Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.
Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.
Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.
Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.
Help define the foundations of our company's data function by evaluating tools, methodologies, and best practices that will scale with the company.
Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.
Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

We're looking for a multi-disciplinary security researcher to play a vital role in researching, planning, implementing, and maintaining security solutions for organizational adoption and usage of software in general, and AI-native software in particular, in collaboration with all product development departments.
What You'll Do
Investigating how software in general, and AI-powered tools (coding assistants, agents, LLM-integrated IDEs, etc.) are used inside organizations, and where they introduce risk: data leakage, prompt injection, supply chain exposure, malicious extensions, and so on.
Building a data-driven picture of real-world usage and adoption to prioritize what we protect against, using telemetry, surveys, and external research.
Designing detection and prevention approaches for these risks, and working with engineering, product, and data teams to ship them in our product.
Auditing implementations against the threat models you develop and iterate.

As an AI Engineer at our company, you will own the intelligent decision-making pipelines that turn complex workspace telemetry into autonomous security actions. You will design, build, and deploy the autonomous reasoning workflows and advanced data classification systems that drive our company's preventive operating model. Your focus will be on creating resilient, production-grade AI systems capable of deep policy comprehension, real-time prevention at the point of adoption, and autonomous remediation of existing risks.
This is a ground-floor opportunity to shape the AI strategy of a fast-growing cybersecurity company alongside a lean, elite team of builders.
WHAT YOULL DO
End-to-End Ownership: Own our AI capabilities entirely from initial research, architectural design, and prototyping, through to production deployment, optimization, and continuous monitoring.
Design & Build Agentic Workflows: Architect multi-step AI agents capable of autonomously investigating workspace risks, interpreting complex enterprise policies, and taking precise remediation actions.
Integrate Multi-Faceted ML: Bring innovation and creative thinking to our core engine. Implement diverse ML models across our entire research and product pipeline-utilizing clustering, text extraction, document analysis, and tabular data classification.
Ship Production-Grade AI: Build high-throughput, resilient, and fault-tolerant production code. You will ensure our AI pipelines and agentic workflows are highly predictable, deeply observable, and built to scale under enterprise-grade loads.
Implement Guardrails & Evaluation: Build continuous evaluation frameworks to benchmark agent accuracy, mitigate hallucinations, and enforce strict data security/privacy guardrails.

Were looking for a Senior Backend Engineer to join our companys R&D team and help define the future of endpoint security.
Youll join a small, high-caliber engineering team that builds the services and data platforms powering our companys product. Your mission will be to design and operate reliable, scalable, and secure backend systems that make our product fast, trustworthy, and easy to extend.
What You'll Do
Build and own backend services and microservices using Python and Go.
Design schemas, run migrations, and build the analytics layer on ClickHouse.
Deploy and operate services on AWS + Kubernetes
Improve reliability, performance, and observability; participate in design/code reviews.
Drive end-to-end delivery across design, implementation, testing, deployment, and monitoring.
Collaborate closely with product, design, and data teams, explain tradeoffs and iterate fast.
Thrive in a dynamic, high-velocity landscape, leveraging cutting-edge stacks and advanced AI capabilities to build what matters.

We're looking for a Senior Frontend Engineer to join our company's R&D team and help define the future of endpoint security.
You'll join a small, high-caliber team of frontend experts building the foundations, components, and infrastructure that power our company's platform. Your mission will be to turn complex security data into fast, intuitive, and scalable experiences used by enterprise security teams every day.
What You'll Do
Build modern frontend applications using React, TypeScript, GraphQL, and the latest frontend technologies.
Build the infrastructure and guardrails - linting rules, AI agent skills, solid APIs, and testing mechanisms - that let non-frontend developers ship features fast without compromising quality.
Own frontend architecture, reusable components, and UI patterns while partnering closely with backend engineers and product teams.
Drive features end-to-end, from design and implementation through testing, release, and production.
Build intuitive experiences for complex security workflows, dashboards, and large-scale datasets.
Help shape and evolve our design system and shared component library.
Improve frontend performance, scalability, and developer experience.
Move fast, iterate quickly, and help shape both the product and engineering culture as we grow.

Were looking for a Senior Infrastructure Engineer who views "Infrastructure as Software." In 2026, we dont just manage servers; we build high-performance environments that allow multi-agent systems to operate at scale.
You will be a core member of the R&D team, blending deep DevOps expertise with the coding rigor of a Backend Engineer. You arent just "configuring" AWS; you are architecting the distributed systems and data pipelines that power our autonomous security brain. Your mission is to ensure that while our agents are evolving and taking actions, our underlying platform remains immutable, observable, and infinitely scalable.
What You'll Do
Design, build, and operate our company's cloud infrastructure using AWS, Kubernetes, and Infrastructure as Code.
Build internal tools and platform services using Python and Go to improve developer productivity and system reliability.
Own infrastructure automation with Terraform, Pulumi, and modern cloud-native tooling.
Partner closely with Backend, Data Science, and Security Engineering teams to build scalable, reliable platforms.
Improve observability, monitoring, and incident response across distributed production systems.
Design and optimize infrastructure for performance, scalability, security, and cost efficiency.
Help shape engineering best practices, platform architecture, and developer experience as our company continues to grow.

We're looking for an exceptional Senior Software Engineer to join the team building our company's Endpoint Agent.
This team builds the software that runs directly on our customers' endpoints. It's a highly technical role focused on low-level systems programming and building reliable, production-grade software.
You'll work on an endpoint agent written primarily in Rust, building capabilities that run directly on customer devices. This is desktop software that lives inside the operating system, making it one of the most visible and critical parts of our product.
If you enjoy understanding how operating systems work, writing efficient systems code, and solving hard engineering problems close to the OS, this is a rare opportunity to do that in one of the fastest-growing cybersecurity startups.
What Youll Do
Design and build core capabilities for our company's Endpoint Agent.
Develop high-performance software in Rust and C++ that runs directly on customer endpoints.
Build features that interact closely with Windows and macOS internals.
Work across backend services and endpoint components to deliver end-to-end functionality.
Partner closely with Product, Security Research, and Platform Engineering to bring new capabilities to customers.
Build reliable, production-grade software with performance, stability, and security in mind.

Were looking for an experienced Vulnerability Researcher to help us uncover how modern AI tools, agents, and enterprise environments can be abused - and turn those findings into impactful security research.
This role combines deep technical research with real industry impact.
Youll investigate emerging attack techniques, build proof-of-concepts, publish research the security community cares about, and help shape how our company protects customers.
Were looking for someone who loves understanding how things work, thinks creatively like an attacker, and knows how to turn technical findings into research people actually want to read and talk about.
What Youll Do
Research vulnerabilities and attack techniques across AI tools, endpoints, browsers, MCP servers, extensions, and enterprise environments
Investigate real-world threats, CVEs, supply-chain attacks, and AI-related security risks
Build proof-of-concepts and demonstrations of new attack paths
Publish technical research, blog posts, and security content
Work closely with Product and Engineering to improve our companys detection and prevention capabilities
Help position our company as a leading company in AI security research
Explore new technologies and identify risks before they become mainstream.

We are seeking an experienced and highly motivated Team Lead to lead our Data Infrastructure team. This role is responsible for managing a team of engineers while driving the design, scalability, reliability, and operational excellence of the companys core data platform.
The ideal candidate combines strong technical expertise in distributed systems and data technologies with proven leadership capabilities, strategic thinking, and the ability to lead complex initiatives end-to-end - from initial design and planning through implementation, deployment, and production ownership.
Key Responsibilities:
Lead, mentor, and develop a team of Data Infrastructure engineers, fostering a culture of ownership, collaboration, and continuous improvement
Define and execute the technical roadmap for the organizations data infrastructure platform
Oversee the architecture, scalability, reliability, and performance of large-scale data systems and pipelines
Define and drive data quality standards, monitoring, and validation processes to ensure trust and reliability across the data platform
Partner with engineering and product teams to enable scalable data foundations for analytics, machine learning, and AI-driven initiatives
Lead cross-functional technical initiatives end-to-end, including requirements gathering, architecture design, implementation, deployment, and post-production ownership
Partner closely with cross-functional teams including Data Engineering, Analytics, Backend Engineering, DevOps, and Product Management
Drive operational excellence through monitoring, observability, automation, and incident management best practices
Ensure high availability and stability of critical production systems
Lead technical design discussions, architecture reviews, and engineering planning processes
Establish and promote engineering standards, development best practices, and quality assurance processes
Manage project prioritization, resource allocation, and timely delivery of strategic initiatives
Support recruitment, onboarding, performance management, and career development of team members
Evaluate emerging technologies and recommend improvements to the data platform ecosystem

Our Cybersecurity Risk & Resilience is expanding its product team and looking for a Product Manager to help shape our enterprise-grade cybersecurity platforms. This role is ideal for a hands-on product leader who thrives in fast-paced, iterative environments and wants to drive real impact in the world of cyber risk and resilience.
Our flagship product is Cyber Quant, an AI and data-driven cyber risk quantification platform that continuously analyzes an organizations security posture against real-world threat intelligence. By integrating with existing security controls, ingesting contextual business data, and automating risk modeling, the platform delivers precise, actionable insights that help organizations prioritize threats, quantify their potential business impact, reduce risk, and measure the effectiveness of mitigation strategies.
You will lead strategic product management, focusing on market understanding, customer communication, business enablement, roadmap execution, AI implementation, stakeholder alignment, and cross-functional orchestration.
Your role centers on ensuring the products long-term vision and strategic positioning, as well as assuming the role of product teams cyber threat intelligence expert.
Responsibilities:
Collect and synthesize customer, partner, and internal stakeholder product feedback
Influence roadmap themes, feature goals, and high-level functional direction
Build strategic business justifications for major initiatives
Represent product strategy to senior leadership, regional business groups, and broader organizational audiences
Lead feature definition, including goals, value proposition, and high-level capabilities
Assume the role of product teams subject-matter expert on the topic of cyber threat intelligence (CTI)
Engage other team subject-matter experts to validate relevant feature feasibility and constraints; synthesize input into clear guidance for the R&D organization
Meet regularly with regional business leaders, customers, and partner PMs
Conduct high-level stakeholder outreach to validate product direction
Manage communication with sales and marketing for positioning and documentation
Own legal, compliance, and internal governance processes
Maintain relationships with third-party providers and ensure required agreements and reviews are completed. Guarantee that feature releases comply with internal and external regulatory expectations