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we are now searching for a Technical Support Engineer to join our Customer Support team.
The Technical Support Engineer manages customer issues to ensure that they are resolved quickly and satisfactorily. He or she also works to mentor and lead others on the support team, to improve customer support processes, to maintain strong customer satisfaction, and to influence the product roadmap.
As a member of a small and dynamic company, he or she also gets involved in other activities such as technical assistance to the Sales team, helping customers integrate OSPWAT products, helping to test and assess new products and product releases, and other special projects.
We are looking for an energetic and motivated person who likes interacting with customers, tinkering with software, learning about new technologies, and doing what it takes, to contribute to quick growth.
What You Will Be Doing:
Customer Issue Management:
Review and prioritize the queue of open tickets, ensuring timely resolution of each issue.
Track customer status for each ticket, including support level, previous interactions, and satisfaction level.
Investigate and research customer-reported issues, striving to recreate and resolve them promptly.
Collaborate with internal departments, such as Product Development, Finance, Legal, etc., as needed to address customer requests in a coordinated and efficient manner.
Provide responsive phone and chat support to address customer queries and concerns.
Documentation and Reporting:
Ensure comprehensive documentation of all customer interactions, updates, and resolutions in the ticketing system.
Maintain proper attributes and tags for tickets, facilitating efficient tracking and reporting.
Create and update customer-facing knowledge base articles to aid in issue resolution and self-help for customers.
Continuous Improvement.
Proactively enhance technical knowledge and proficiency in products.
Collaborate with cross-functional teams to contribute insights and feedback for product improvement.

We are looking for an experienced engineering leader to build and lead a team developing internal systems and macOS native applications that leverage generative AI for productivity.

You will lead a team of software engineers as part of a broader multidisciplinary ML and software engineering organization working on cutting-edge GenAI applications. In this position, you will collaborate with ML engineers and innovative teams across us, guiding technical direction, mentoring your engineers, and ensuring delivery of high-quality solutions that bring AI capabilities to users.

Are you a strategic thinker who can balance technical excellence with people leadership? Do you have a passion for building great teams and creating code to the highest standards? Your work within this team will continue to uphold and advance the excellence people expect from us.

You will lead the technical direction and execution of GenAI-powered productivity applications for our internal organization. This includes setting the technical vision, making architectural decisions, and guiding your team through design, development, and integration of features. You will collaborate closely with ML engineers, product stakeholders, and cross-functional teams across us to deliver impactful solutions. As a leader, you will mentor engineers, foster a culture of excellence and innovation, manage project timelines, and ensure your team's work meets Apple's highest standards while growing their careers and capabilities.

we are looking for a Solution Engineer.
The Solution Engineer will be the primary technical sales resource for our regional sales team and will assist in identifying customer challenges and driving technical alignment between customer needs and the solutions. You will serve as a product and industry expert, effectively describing and demonstrating our solution as well as promoting our vision and approach. You will be a trusted point of contact for our customers while advancing the sales process.
At the same time, you will be a liaison to the engineering team to drive the direction of the product. The ideal candidate will have previous work experience as a member of a corporate sales team and a career track record of supporting large and complex enterprise sales.
We are interested in candidates based in Israel with Hebrew as a primary language and English as secondary.
What You Will Be Doing:
Work with the sales team as well as partners to drive Enterprise business
Manage customer requirements, expectations, and solution buy-in
Build customers confidence and awareness in our products/solutions
Manage, deliver, and present detailed responses to industry RFPs
Train and certify resellers and partners
Present at Conferences and Seminars
Support proof of concepts, implementations and installs as needed to successfully satisfy customer requirements

LiveU is a global hi-tech leader in live IP-video solutions. We provide a cutting-edge ecosystem of hardware, cloud, and SaaS platforms that power the world’s most compelling live moments. We're looking for a motivated and diligent QA engineer to join our growing team. Location : Kfar-Saba, Israel Responsibilities
* Responsible for the quality of the Core functionality of all LiveU's products.
* Represent the QA discipline in a scrum team, create, review and execute manual and automated test plans.
* Focal point for specific features from start to end of development.
* You will be working closely with cutting edge technology in a fun and dynamic environment.

We are currently seeking a Python Developer - LLM & MCP Integration to contribute to the success of our rapidly growing business.

This role focuses on building backend services and LLM-integrated functionality that plug into our existing MCP platform, enabling advanced AI-driven product capabilities across our security offerings.

As a Python Developer - LLM & MCP Integration, you will:
Build and maintain Python-based backend services that integrate with the MCP platform.
Own the end-to-end data and logic pipeline behind these AI-powered capabilities.
Design and maintain Vector Database ingestion pipelines for product documentation and knowledge content.
Normalize and structure security events to support accurate LLM explanations and summaries.
Ensure solutions meet our security, scalability, and reliability standards.

Execute comprehensive testing of AI datacenter networking solutions, focusing on SONiC-based systems, smart NIC integration, and high-performance networking for AI workloads.
Key Responsibilities:
Design large scale testing topologies with GPU/Traffic Generators and execute test cases for SONiC/network operating system functionality.
Validate smart NIC performance and integration with SONiC datapath
Perform functional, performance, aour company nd stress testing of AI networking scenarios
Develop automated test scripts for regression testing and continuous validation
Execute interoperability testing between different hardware vendors and software versions
Validate RDMA, high-speed Ethernet performance for AI workloads
Test failover scenarios and network resilience under various failure conditions
Document test results, file detailed bug reports, and track issue resolution
Collaborate with development teams to reproduce and isolate defects
Participate in customer proof-of-concept testing and field issue reproduction.

we are seeking a highly skilled AI Product Intelligence Lead to modernize and elevate the Product Management function by building an AI-driven product knowledge platform. This role focuses on aggregating and unifying organizational data (engineering, product, competitive, customer) into a structured data lake, and developing an internal AI assistant that empowers the Product organization with real-time insights, competitive analysis, roadmap support, and decision-making acceleration.
This position sits at the intersection of AI, data engineering, product strategy, and organizational knowledge management. You will function as the AI engine behind our company Product Management - turning scattered information into structured intelligence and building the tooling that allows PMs to think faster, act smarter, and execute at scale.
Key Responsibilities
1. Build the company Product Data Lake
Ingest and normalize data from internal systems including:
Git / GitHub / GitLab (code evolution, releases, components, architecture)
Jira (epics, features, sprint data, backlog health, execution trends)
Confluence (specs, design docs, product decisions, reviews)
Connect and harvest relevant external data:
Competitor websites and public documentation
Analyst reports, industry standards, RFCs
Media, blogs, financial/market data, community repos
Establish pipelines for continuous ingestion, cleaning, tagging, and semantic indexing.
Define and enforce taxonomies, metadata schemas, and embedding strategies for structured and unstructured product information.
2. Build an AI Assistant for the Product Management Function
Design and maintain a secure, internal our company PM chatbot capable of:
Understanding our company architecture, products, roadmaps, modules, and features
Generating roadmap proposals based on business goals, competitive gaps, and engineering capacity
Providing competitive analysis, feature comparisons, and market positioning
Summarizing design docs, Jira epics, technical specs, PRDs, RFCs, and Confluence pages
Acting as an AI peer/consultant for PMs: drafting PRDs, feature breakdowns, risks, GTM summaries, and opportunity reports
Implement multi-source retrieval (RAG), long-context reasoning, and fine-tuning strategies where applicable.
Collaborate with Engineering to ensure data security, access control, and compliance.
3. AI-Driven Product Intelligence & Competitive Strategy
Automatically identify gaps vs. competitors and recommend differentiators.
Use AI to synthesize market intelligence and propose strategic moves.
Build dashboards for product, competitive, and risk insights.
Create automated alerts for competitor releases, standards changes, and relevant industry updates.
4. Cross-Functional Collaboration
Work closely with Product Managers, R&D, Architecture, CTO Office, Sales Engineering, and Leadership.
Translate business goals into AI capabilities and intelligence-driven tooling.
Train PMs on using AI tools effectively and integrate AI into their daily workflows.

As a Platform QA Engineer, you'll play a crucial role in ensuring the performance, reliability, and scalability of our workflow engine infrastructure. You'll focus on validating environments, functionality, authentication systems, and ensuring proper coverage for our microservices architecture. You'll work closely with development teams to validate that our platform components meet design specifications and performance requirements.
Key Responsibilities:
Design and execute plans for REST/gRPC APIs and workflow engine functionality
Validate authentication and authorization flows across microservices
dynamic task addition and execution in the workflow engine
Implement automated suites for contract validation
Verify proper service communication in environments
Perform integration testing between workflow components and services
Create comprehensive coverage for critical platform functionality
Collaborate with developers to improve testability of platform services
Identify, document, and track issues, validate they're resolved on time.

we are a leader in disaggregated high-scale networking solutions for service providers and AI infrastructures. Founded in December 2015, our company created a radical new way to build networks by adapting the architectural model of the cloud to telco-grade networking. This solution accelerates network deployment, improves the networks economic model, and radically simplifies network operations. With customers including Comcast, Orange, and KDDI - over 80% of AT&Ts network traffic now runs through a disaggregated core powered by our company software. our company Network Cloud-AI solution, based on the same technology, was introduced to the market in 2023, providing the highest-performance Ethernet-based AI networking solution, and is already deployed by Hyperscalers, NeoClouds and Enterprises. Raising over $587 million in three funding rounds, our company continues to deploy the most innovative network infrastructure and is looking for the most talented people to be part of this journey.
Key Responsibilities
Own the end-to-end product lifecycle-from market analysis and requirements definition to feature delivery and adoption.
Define and refine product vision, roadmap, and KPIs for network and infrastructure-centric solutions.
Collaborate closely with engineering teams to design scalable, resilient architectures and ensure timely execution.
Lead discovery with customers, partners, and internal stakeholders to identify needs in ISP, carrier, and enterprise environments.
Translate networking and security requirements into clear product specifications and user stories.
Evaluate competitive offerings, industry trends, and emerging technologies in routing, infrastructure, and security.
Work with security teams to integrate and enhance security capabilities, address vulnerabilities, and ensure industry-standard protections.
Drive cross-functional alignment with sales, marketing, support, and operations to ensure product success.
Support customer engagements and represent the product in technical discussions, roadmap reviews, and strategic planning.

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.
Key Responsibilities:
Conduct in-depth hands-on product demonstrations and sales presentations
Lead technical responses to customer requirements, including RFIs, RFPs, solution descriptions, presentations, site surveys, training, and event support
Provide field feedback to help shape product development
Proactively shape the sales cycle, strengthen customer relationships, and contribute directly to achieving sales targets.

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.
Responsibilities:
Design and implement sophisticated digital signal processing algorithms for applications in areas such as signal processing and wireless communication physical layer.
Collaboration with a multi-disciplinary teams (algorithm engineers, systems engineers, SW engineers, etc.) to design and integrate challenging DSP algorithms for wireless systems.
Enforce high standards for software architecture, ensuring the DSP codebase is scalable, modular, testable, and maintainable.
Conduct thorough performance analysis and optimization of existing DSP systems, identifying opportunities for improvement.
Write clean, efficient, and maintainable code for production systems.
A proactive approach to innovation and a passion for developing high-quality products.