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a provider of cutting-edge communication and connectivity devices and applications for powersports and outdoor enthusiasts. In 2026, we are proudly unveiling its Beyond Helmet line, the first of its kind in the motorcycle industry, fostering a new age in safety, sound, and communications. After pioneering the worlds first Bluetooth-based wireless intercom headset in 2004, we have been responsible for many of the industrys innovations, revolutionizing communication, pushing technological boundaries, and enhancing user safety. Now sold in over 100 countries, we are proud to be the worlds leading communication device for groups in motion. We are seeking an experienced, highly motivated HardWare Manager to lead our hardware engineering team within the R&D organization. Reporting to the VP of R&D, this senior leadership role is responsible for driving hardware development excellence across multidisciplinary products, from concept through mass production. Position Overview As the HardWare Manager, you will lead the hardware engineering team and drive the design, development, validation, and certification of complex electronic products. This role involves close collaboration with cross-functional teams, including Software, Mechanical, QA, Engineering, NPI, Purchasing, and more - to ensure seamless product development from concept through mass production. In this role, you will shape the hardware strategy, strengthen engineering processes, and ensure the delivery of high-quality, reliable, and compliant products that support our innovation and business goals.
Roles & Responsibilities
* Lead, mentor, and develop a team of 6 hardware engineers while fostering a high-performance, collaborative, and innovation-driven culture.
* Own the full hardware development lifecycle, from requirements definition and architecture through design, validation, and production release.
* Drive hardware architecture, design reviews, and technical decision-making to ensure alignment with product requirements and system constraints.
* Collaborate closely with cross-functional teams to ensure successful system integration, smooth execution, and timely product delivery.
* Define and implement testing and validation methodologies to ensure performance, reliability, safety, and compliance with industry standards.
* Lead certification and regulatory compliance activities for new and existing products, ensuring adherence to applicable standards and market requirements.
* Establish and maintain detailed documentation, including specifications, design documents, TEST plans, and reports.
* Identify and implement process improvements to enhance development efficiency, product quality, and time-to-market.
* Collaborate with Operations and manufacturing partners (EMS/ODM) to address production challenges, optimize product quality, and ensure scalable and cost-effective solutions.
* Support manufacturing activities, including design for manufacturability (DFM), design for testability (DFT), yield improvement, NPI, and production issue resolution.
* Support planning activities, including resource allocation, timelines, and risk management across hardware projects.
* Stay up to date with industry trends, emerging technologies, and competitive products to drive innovation and maintain technological leadership.

We are looking for an experienced and hands-on Technical Support & Customer Service Manager to lead and scale our support operations in a growing B2B SaaS fintech environment.
This role combines team leadership, operational excellence, customer experience ownership, and cross-functional collaboration with Product, R&D, Domain, and Customer Success teams.
The ideal candidate is highly process-oriented, customer-centric, technically capable, and experienced in managing support operations within fast-paced product companies.
Key Responsibilities:
Lead and manage the Technical Support & Customer Service team
Build and improve support processes, workflows, SLAs, and escalation management
Monitor KPIs, customer satisfaction, ticket queues, and operational performance
Collaborate closely with Product, R&D, Domain, CSM, and Sales teams
Own support readiness for product releases and major product changes
Drive continuous improvement initiatives and service excellence standards
Improve knowledge management, documentation, and internal enablement processes
Support system optimization and automation initiatives across support operations
Handle escalated and sensitive customer cases with professionalism and ownership.

A leading fintech information provider, delivering digital solutions in labor law, taxation, finance, welfare, and pensions.
We are looking for a Junior Product Support Specialist to deliver advanced assistance for our software products
Key Responsibilities:
Manage client onboarding and ensure smooth, effective use
Investigate and resolve first and second-level technical incidents
Perform in-depth troubleshooting and identify underlying issues
Support customers through phone, email, and other communication channels
Work with R&D on system-level problems
This is a full-time position, 9:00-18:00.
The role is hybrid, offering flexible and convenient working hours.
Our offices are located in central Israel.

We are looking for an Entry-level Customer Support Specialist to join our team. The ideal candidate will be responsible for providing exceptional customer service and support to our clients.
Responsibilities:
Respond to customer inquiries via phone, email, and chat in a timely and professional manner
Resolve customer issues and escalate complex cases to the appropriate team
Assist customers with account setup, troubleshooting, and general inquiries
Maintain accurate records of customer interactions and transactions
Collaborate with cross-functional teams to improve the overall customer experience.

As Senior Machine Learning Engineer, youll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, deploying and serving GenAI capabilities (Agents, Tools and the orchestration between them) using the most advanced technologies and models.


Key Job Responsibilities and Duties:

Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.

Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.

Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.

Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.

Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.

Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

we are hiring: Senior Azure DevOps & Release Engineer! We are looking for a hands-on Senior Azure DevOps & Release Engineer to take full ownership of our CI/CD automation, release engineering, and Azure DevOps governance across the organization. Key Responsibilities:
* Design and manage pipeline approvals, quality gates, rollout strategies, and rollback-ready deployment controls from DEV to PROD.
* Build reusable YAML pipeline templates, define delivery standards, and manage Azure DevOps permissions, environments, and repository policies.
* Support and automate end-to-end deployments to AKS / Kubernetes environments.
* Build Developer self-service templates and tools to reduce manual work and improve the overall Developer experience.
* Integrate Azure Key Vault, secrets, certificates, and secure credential patterns into continuous delivery processes. Location: Modi'in

As a Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.


Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions.

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation.

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.