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Required Senior Purchasing Manager
Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
Join us and help make the world a safer place.
Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
A leader in the counter-drone industry, delivering innovative and cutting-edge products worldwide. We are seeking an experienced and strategic Senior Purchasing Manager to lead our procurement activities.
This role requires deep expertise in strategic sourcing, supplier relationship management, and driving cost reduction while ensuring supply continuity and quality.
Core Focus & Leadership:
Strategic Sourcing: Develop and execute global sourcing strategies for complex hardware, including semiconductors, custom mechanicals, PCBs, and EMS services.
Cost & Negotiation: Lead high-stakes, multi-million-dollar negotiations. Drive substantial year-over-year cost reductions through competitive bidding, Value Engineering, and Total Cost of Ownership (TCO) models.
Risk & Resilience: Proactively identify and mitigate supply chain risks (geopolitical, obsolescence, single source) and manage key supplier performance using QBRs.
NPI & DFC: Partner with Engineering and Product teams on vendor selection and Design for Cost (DFC) during the NPI process.
Team Leadership: Lead and mentor a team of purchasing professionals, ensuring compliance and strategic excellence.

we are seeking an experienced IT Support Specialist to join our IT support team. In this role, you will be responsible for providing first-line support to our companys employees by managing user accounts and access, troubleshooting hardware and software issues, and handling our employees' onboarding and offboarding.
Responsibilities:
Provide first-line technical support to our companys employees across all global offices, ensuring fast, professional, and customer-oriented service.
Lead and execute IT processes for employee onboarding and offboarding, including systems provisioning, access governance, device setup, and security compliance.
Provide AV support for the company auditorium and conference rooms, including management and troubleshooting of Zoom Rooms, Polycom systems, and other video-conferencing technologies
Troubleshoot and resolve hardware, software, and network-related issues on both Windows and (mostly) macOS environments.
Manage IT requests and incidents related to cloud services and enterprise applications, including Microsoft 365, Slack, Zoom, and additional SaaS platforms used internally.
Administer and monitor cloud-based infrastructure components, including Azure AD, Intune, Kandji, as part of the companys internal IT ecosystem.
Collaborate closely with the Systems and Security teams to identify, escalate, and resolve complex technical issues, as well as improve IT workflows and automation.

Required NPI/Engineering Mechanical Product Lead
Job Summary
As a Mechanical Engineering Product Lead, you will be responsible for leading the transition of new hardware products from the design and development phase to successful mass production. You will be a key technical point of contact, managing New Product Introduction (NPI) activities and collaborating closely with various teams to ensure smooth and efficient manufacturing.
Main Responsibilities:
Lead and manage New Product Introduction (NPI) activities for new hardware products, overseeing the entire process from design to mass production.
Develop and optimize manufacturing processes, creating detailed engineering and manufacturing documentation.
Manage the design and manufacturing of mechanical components made from plastic and metal, working directly with CMs locally and abroad.
Lead the design, validation, and certification of product packaging.
Act as a technical focal point, collaborating with R&D, production, quality assurance, and supply chain teams.
Support the design and manufacturing of jigs and fixtures for the production line.
Lead the manufacturing and DFx and FAI processes for mechanical parts, PCBs, and PCBAs.
Support the assembly of mechanical prototypes.

Were looking for a passionate and creative Software Engineer with a strong data-driven mindset and around 4 years of experience to join our team. In this role, you will contribute to developing our cloud-based personalized networking and security management solutions, as well as building scalable systems for processing and analyzing data across multiple networks.
Responsibilities:
End-to-end development, from processing large-scale data to building intuitive web interfaces
Designing and implementing data pipelines, analytics, and insight-driven features
Developing backend services with a focus on performance and scalability using C/C++ and Python
Contributing to frontend development and overall system integration
Implementing and testing network security enterprise solutions
Conducting research and prototyping new features and product ideas
Exploring new technologies and integrating them into the product
Driving a data-driven approach to product and engineering decisions.

We are looking for a B2B SaaS Enterprise Software Senior Product Manager to lead strategic solutions from conception to execution.

As an experienced, hands-on leader you will own the vision & roadmap of a dedicated R&D team set to empower worldwide organizations (Banks, Insurers, and more) to create customer-facing digital processes.

Responsibilities:
Create lovable products by driving product strategy and overseeing the end-to-end product development process.
Demonstrate a customer-centric approach addressing real customer pain points constantly engaging with customers and analyzing user and usability data.
Define and own product life cycle: From market research to scoping and requirements definition, UI and UX, KPIs, and working with the R&D teams.
Cooperate with Sales, Customer Success, Delivery / Professional Services, and Marketing on taking the product to market.

We are looking for a passionate and experienced Full Stack Engineer. In this role, you will play a key part in developing our cloud-based, proprietary networking and security management solutions.
You will also design and implement highly scalable processes for gathering and analyzing real-time network statistics, events, and large-scale data.
Responsibilities:
End-to-end backend development: from processing large-scale data to designing efficient microservices.
Develop and enhance high-performance, scalable services.
Improve the reliability, security, and scalability of existing infrastructure.
Work closely with cross-functional teams including Product, Data, Security, and UX.
Research and adopt new technologies to improve our products.

The Field AI Engineering team is a unique group of professionals combining strong technical expertise, rooted in a software engineering background, with excellent customer-facing skills.
In this role, you will lead major customer engagements, both remotely and on-site, and tackle the most complex challenges faced by our customers. Some of these challenges will be addressed in-house by designing and developing tailored solutions for customer environments. Others will require close collaboration with our R&D and Product teams to deliver scalable and impactful solutions.
This position is ideal for someone who enjoys solving hard technical problems while working directly with customers and influencing product direction.
Responsibilities
Drive AI Security deal success by handling complex technical sales engagements.
Lead and participate in customer meetings, including technical deep dives, solution design sessions, and executive-level discussions, both remotely and on-site.
Collaborate closely with cross-functional teams, including Sales, Product, R&D, Marketing, Customer Success, and Professional Services, to deliver end-to-end customer solutions.
Design and develop custom features, integrations, and tailored solutions to address customer-specific environments and challenges.
Lead and support complex customer deployments, from initial design through implementation and validation.
Act as a hands-on technical expert throughout the customer lifecycle, contributing wherever needed to ensure successful outcomes.

we are looking for a bright, passionate and experienced Apple Platforms Software Engineer to join the company team. In this critical role, you will be developing our Client Application which is used by hundreds of thousands of users worldwide. You will be owning aspects of the applications full life cycle, from design, and development to CI/CD.
Responsibilities:
End-to-end ownership of our macOS/iOS clients, designing, developing and delivering new features from scratch.
Assisting DevOps with maintaining and enhancing our build system.
Researching Apple platform and ecosystem for relevant technologies.
Support the entire application lifecycle, including release management and supporting production.
Collaborate with QA, automation, product-management and other engineering teams to deliver integrated features.

we are looking for a Lead Security Researcher - AI Threat Intelligence. This key position within the threat intelligence group will be in charge of analyzing the vast amount of data that is managed by our company, develop threat intelligence on adversarial TTPs (tactics, techniques and procedures) and generate reports, presentations and blogs on anomalies and tools identified.
This role goes beyond the analyst role, as a key member of the team the threat intelligence researcher will work with internal security teams, network data, underground intelligence teams and much more, performing cutting edge research followed by presenting the research externally via various mediums.
Responsibilities:
Lead threat intelligence research focused on AI-related threats, threat actors, attack techniques, and emerging cybersecurity trends
Analyze internal and external security data to identify attack patterns, campaigns, and actionable intelligence
Explore large-scale datasets using SQL and other data analysis methods to generate research insights
Build tools, workflows, and agentic systems to automate research, investigation, and intelligence production
Research how attackers use AI and how AI can improve threat detection, investigation, and response
Publish high-quality research, including blogs, reports, threat intelligence summaries, and customer-facing insights
Present research at cybersecurity conferences, webinars, company events, and customer-facing sessions
Collaborate with product, data, engineering, and research teams to improve detections and product intelligence
Independently lead research initiatives from idea and data exploration to publication and presentation.
Travel internationally for company events and cybersecurity conferences at least six times per year.

We are seeking a strategic and data-driven Marketing Operations Manager (Temporary position for Maternity Leave)  to be responsible for optimizing, scaling, and tracking the performance of our marketing engine. This is a high-impact role responsible for ensuring that our marketing systems, data, and processes operate at peak efficiency. 
Youll oversee the marketing automation infrastructure (especially Marketo, Salesforce) and ensure its fully leveraged to drive demand, optimize performance, and align with GTM goals. Your work will directly shape how campaigns are executed, how attribution is measured, and how insights fuel revenue growth. You will have deep GTM processes understanding and constantly look for optimizing operational processes and proactive data insights using AI agents 
Responsibilities:
Process Optimization & AI 
Standardize and streamline operational processes for marketing, SDR and sales 
Continuously refine workflows to maximize productivity and minimize friction.
Lead dashboarding project management initiatives, ensuring on-time and successful delivery of cross-functional marketing programs.
Act as a change agent for AI operational excellence and cross-functional alignment. 
Systems & Automation
Own and manage the marketing tech stack (Marketo, Salesforce, Asana, Zoominfo, Make.com, Clearbit, Lusha, Dreamdata, Chili piper, Demandbase etc)
Design, implement, and optimize Marketo workflows to automate and scale lead management, nurturing, and campaign execution.
Serve as a Salesforce professional, ensuring accurate data, reporting, and integration across GTM systems.
Enhance marketing automation, lead scoring, nurturing workflows, and data synchronization.
Support and optimize email marketing programs, ensuring scalability, performance, and alignment with demand-gen and ABM strategies. 
Analytics & Reporting
Develop and maintain dashboards and reporting frameworks for campaign performance, funnel health, and marketing-sourced pipeline.
Manage attribution modeling efforts to identify high-impact initiatives.
Ensure data quality, integrity, and usability across all marketing systems.

Behind that no-code surface sits a non-trivial backend: a distributed workflow runtime that executes customer-defined business processes, integrates with dozens of third-party systems, and serves real production transactions across 7 regional clusters. We are looking for a Senior Backend Engineer to help us evolve that runtime.

Responsibilities
Own architectural decisions on the workflow runtime, single vs. multi-tenancy boundaries, and integration patterns. Write the design doc, defend it in review, ship it.
End-to-end delivery: requirements → design → implementation → deployment → monitoring → post-incident learning-no throwing over the wall.
Partner with Product, DevOps, and the other engineering teams on cross-team initiatives (Celery → temporal.io rollout, customer onboarding to new regions, breaking changes in the workflow runtime).
Mentor mid-level engineers through code review, design review, and on-call shadowing.
Continuously raise the bar on code quality, system stability, and test coverage.

We are looking for an experienced Automation QA Engineer to join us.
You will be responsible for E2E testing new features of our fast-evolving product, by building a complex network environment and simulating enterprise customers' topologies and requirements. In addition, you will work with our Automation tests and lab management frameworks and will have the chance to make your first steps in the SW Automation development world. In your role - you will be the only gatekeeper for various new features and enhancements before they are deployed in our production cloud.
Responsibilities:
Plan and execute manual/automated performance tests for core network infrastructure and edge devices.
Design, develop, and maintain robust test automation frameworks to enable continuous integration and validation.
Analyze and debug complex network failures, leveraging automation, logs, and advanced diagnostic tools.
Lead validation efforts for new projects and features, defining test coverage and automation strategy from early design stages.
Design and deploy complex physical and virtual network topologies to support automated end-to-end testing.

What you will do
Research threat actors, campaigns, and techniques relevant to browser extensions, SaaS apps, autonomous agents, MCP/tooling ecosystems, and related endpoint behaviors.
Build and maintain threat intelligence: TTPs, IOCs where appropriate, ATT&CK-style mappings, and internal knowledge bases.
Design, test, and tune detection logic (behavioral rules, heuristics, models, or equivalent) in collaboration with detection and data science teams.
Analyze customer and telemetry datasets to find novel abuse patterns, false positives, and detection gaps.
Produce clear outputs for multiple audiences: technical blogs, customer-facing briefings, internal playbooks, and engineering specs.
Work with reverse engineering, data engineering, and product to turn research into durable platform capabilities.
Participate in incident-driven research and time-sensitive investigations when new threats emerge.

The L&D Operations role is responsible for the end-to-end administration and operational delivery of global learning and development initiatives. This position owns training logistics, vendor coordination, LMS administration, compliance tracking, reporting, and learning data management to ensure a seamless and high-quality employee learning experience.
This role requires strong English communication skills (written and verbal), a highly service-oriented mindset, and the ability to partner effectively with leaders and stakeholders across multiple functions and levels of the organization.
This is an ideal second role for someone with prior experience in HR, L&D coordination, training administration, or program operations who is looking to expand ownership and strategic exposure.
Responsibilities:
Training Course Operations
Manage the end-to-end coordination and execution of management development, soft skills, and team-based training programs delivered in Israel HQ and our global sites:
Coordinate global training logistics, scheduling, and delivery across multiple regions
Source, evaluate, and manage external training vendors and facilitators
Align with vendors on program objectives, delivery format, and operational requirements
Manage training communications, including participant invitations and updates
Support leaders and participants with scheduling adjustments and logistical needs
Ensure all training facilities, materials, and delivery requirements are in place
Maintain accurate training records and documentation
Monitor training participation and track completion
Collect feedback and evaluate training effectiveness through surveys and data analysis
Consolidate reporting insights to recommend improvements in content, delivery format, and learner experience
Support development of an annual training calendar and scalable global rollout processes
Learning Management System (LMS) & Digital Learning Administration
Compliance Training Administration
Assign and manage mandatory compliance training for new hires and existing employees
Track learner progress and course completion within the LMS
Proactively follow up and escalate overdue training to ensure regulatory compliance
Maintain accurate compliance records and reporting documentation
Generate compliance dashboards and participation reports for stakeholders
Online Learning Platform Management
Administer employee access to online learning platforms (Udemy, Pluralsight, LinkedIn Learning, Duolingo)
Manage license allocation and utilization tracking
Process training access requests and approvals
Monitor platform usage and report on engagement and learning outcomes
Identify opportunities to optimize license usage and scale access efficiently
LMS Operations & Administration
Administer and maintain LMS platforms (Skilljar and Traliant)
Upload courses, manage enrollments, and configure learning assignments
Track learner progress and training participation
Maintain accurate learning records and system data integrity
Support creation of learning paths and structured learning journeys (as needed)
Identify opportunities to streamline LMS workflows and automate processes
Contribute to enhancing the overall digital learning experience.

As a Senior Data Scientist, you will bridge the gap between high-level research and production-grade reliability. Your role is to design and build the "connective tissue" that allows autonomous agents to function in the wild. You will move beyond simple wrappers to architect systems that can handle the inherent uncertainty of AI, ensuring that our agentic products are not just "smart," but robust, observable, and capable of operating at enterprise scale.
Key Responsibilities
Design and implement the backbone for multi-agent systems to manage complex, non-linear workflows and autonomous decision-making.
Build specialized infrastructure to handle dynamic AI environments where outputs are unpredictable, ensuring system stability through robust "guardrail" architectures and fallback logic.
Implement advanced tracing and logging for agent "thought processes," enabling the team to debug complex multi-step reasoning chains in real-time production environments.
Develop automated tools to identify, isolate, and replicate edge-case failures in agent behavior, transforming "black box" hallucinations into actionable engineering tickets.
Establish sophisticated monitoring for production deployments, tracking not just uptime, but model decay, tool-calling accuracy, and semantic drift across millions of tokens.