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We are seeking a highly motivated and detail-oriented Supplier Quality Engineer to join our Quality team to be responsible for ensuring supplier compliance with quality requirements, driving continuous improvement initiatives, managing supplier performance, and supporting IQC department.
Key Responsibilities:
Qualify, develop, and monitor suppliers to ensure compliance with company quality standards.
Conduct supplier audits (process, system, and product audits).
Lead supplier corrective and preventive action (SCAR/CAPA) activities using structured problem-solving methodologies.
Analyze supplier quality performance using KPIs and implement improvement plans.
Support supplier selection, qualification, and approval processes.
Review and approve supplier documentation, including PPAP, FAI, control plans, PFMEA, and process flow diagrams.
Collaborate with Engineering, Manufacturing, Procurement, and R&D teams to resolve supplier quality issues.
Travel to supplier sites as required.

We are looking for an SVP of Product to own and lead our product function. This is a hands-on leadership role for a strong product operator who can drive strategy and execution in equal measure - managing a growing team of Product Managers and different domains SMEs, working closely with customers and internal stakeholders, and delivering complex AI-driven products that create measurable value for the world's leading airlines. This role reports directly to the CEO.

What You'll Do

Lead and execute product strategy and roadmap, ensuring alignment with company goals, customer needs, and commercial priorities.
Manage, mentor, and grow a team of Product Managers, setting clear expectations, building strong product practices, and driving accountability.
Own the full product lifecycle - from discovery and definition through delivery and iteration - working hands-on with Engineering, Data, and Design.
Be the product voice in customer relationships: lead roadmap reviews, gather requirements, and present product direction to enterprise stakeholders.
Partner with Sales and Customer Success to support onboarding, renewals, and expansion by ensuring the product delivers on its promise.
Translate complex AI and algorithmic capabilities into clear, user-friendly experiences and compelling value propositions.
Collaborate with company leadership on business priorities, surfacing product insights that inform strategy and investment decisions.
Drive execution discipline - managing timelines, trade-offs, and delivery in a fast-moving, resource-conscious environment.

We're looking for a Senior Support Engineerto be part of the technical backbone of our support organization. You'll join a team of experienced support engineers, bringing together deep technical expertise and strong customer knowledge to resolve the most complex issues our enterprise customers face.

This role is the primary escalation point for our frontline support team - the person they turn to when an issue demands deeper investigation, broader product context, or a more senior technical hand. You'll be expected to lead from the front: diving into complex data pipeline failures, owning resolution end-to-end, creating runbooks, and domain expertise to continuously raise the bar as you always keep your knowledge up to date.

Beyond the technical work, you'll be a trusted face to our enterprise customers - attending customer meetings, communicating with clarity and confidence, and building the kind of credibility that makes customers feel in good hands even when things go wrong.

This is a role for someone who takes real ownership - of the quality of every escalation that moves upstream, and of the knowledge systems that make the entire support organization smarter over time.

What You'll Do:

Know how to take resolution within the SLA end-to-end - ensuring complex issues are resolved thoroughly, not just closed.
Be the technical escalation point from the frontline support team, picking up high-complexity issues and driving them to resolution with minimal unnecessary escalation to R&D.
Own the team's knowledge base and runbook ecosystem - making sure documentation is alive, accurate, and genuinely useful, not a graveyard of stale procedures.
Set and enforce R&D handoff quality standards - every escalation that reaches engineering should be well-investigated, clearly documented, and impossible to bounce back as "not enough info."
Develop deep product area expertise across domains, distributing ownership across your team so that every product surface has a go-to engineer.
Represent the support function in customer meetings - you'll be the technical face of support for enterprise accounts, able to speak credibly about root causes, timelines, and remediation.
Collaborate closely with the Escalation Leader and R&D to close feedback loops, reduce recurring issues, and feed product insights back upstream.

we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. our company offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. Join our data Centers group and play a key role in developing our next generation of high-performance power electronics solutions. We are seeking an Embedded control engineer to join our team.
?What you will be doing
* Learning the different aspects of our products by developing features in various areas and disciplines - power electronics, control theory, DSP and communication over different platform
* Design, develop, optimizing, TEST and maintain complex and exciting Embedded SW for power electronics and control systems in a multi processors environment
* Developing on various micro-controllers and dealing with various rt constraints
* Ownership of a project/product from end to end- from concept and simulation, through development and integration and field deployment
* Building complex simulations integrating SW and HW and working hand by hand with HW team
Country:
Israel
City:
Modiin

We are seeking a talented and self-driven experienced Data Scientist to help advance our machine learning capabilities.This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact.

Responsibilities:

Develop and implement state-of-the-art econometric and machine learning models for demand forecasting.
Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability.
Collaborate with cross-functional teams (including product, data engineering, MLOPS and Platform) to deploy ML systems in production.
Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives.

We are seeking an experienced Data Science Team Lead to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.

The Price Optimization (PO) team is where insights become decisions. We work with large-scale customer data and market predictions - like demand forecasts - to drive revenue management decisions that actually move the needle.

At our core, we build and maintain the decision-making engine. That means designing the data pipelines that bring customer data in, and running it through an optimization engine that simulates the market - weighing competition, pricing constraints, inventory availability, predictive models, and each client's unique business policies - to generate the best possible price recommendations. As the final step before recommendations reach the client, quality, reliability, and attention to detail aren't just nice to have. They're everything.

You will lead the team through architecture decisions, development, and deployment of mission-critical systems-while growing and mentoring a high-performing team.

Responsibilities:

Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
Design, build, and maintain distributed data processing workflows (batch & streaming).
Drive best practices for data quality, validation, testing, and observability.
Own and evolve data architecture in alignment with business and product goals.
Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
Contribute hands-on to key development tasks and architecture decisions.
Recruit, mentor, and grow the data science engineering team.

We're seeking a highly motivated and client-focused Account Director to manage strategic relationships with key customers across multiple verticals. This individual will serve as the primary point of contact for assigned accounts, ensuring:

Exceptional client satisfaction.
Commercial performance.
Alignment between product suite and each client's business objectives.
Key Responsibilities:

Serve as the day-to-day contact for strategic clients, managing relationships and ensuring high levels of satisfaction and engagement.
Understand client needs and business goals, and translate them into actionable plans that align with capabilities.
Own execution of client initiatives and projects, ensuring action items are driven to completion, stakeholders remain aligned, and commitments are delivered on time.
Proactively identify opportunities to drive additional value for the client through product adoption, feature utilization, and cross-sell initiatives.
Support contract renewals and commercial discussions, working closely with internal stakeholders to deliver mutually beneficial outcomes.
Coordinate with internal teams (Product, Program, Tech, Support, and Data Science) to ensure successful solution delivery and issue resolution.
Monitor client performance metrics, analyze trends, and provide insights and recommendations for continuous improvement.
Represent the client's voice internally to influence product development and service enhancements.

we are seeking a highly motivated Application Engineer & Technical Marketing Specialist to support customers worldwide in the integration and deployment of advanced gimbaled EO/IR payloads, combining Visible (VIS) and Long-Wave Infrared (LWIR) cameras for UAV and drone applications.
This customer-facing role combines system engineering, technical support, product marketing, and business development activities. The successful candidate will serve as the technical bridge between customers, engineering teams, and sales organizations, helping customers maximize the value of solutions while identifying new business opportunities.
This position is intended for engineers with hands-on experience in multidisciplinary systems, electro-optics, aerospace, robotics, mechanics, electronics, or field engineering.

We are seeking an MLOps Engineer to help us grow our technical team's capabilities. The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience would be a great addition.

You will be responsible for building and maintaining models and data pipelines that power our data science workflows. You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of the data we use for model training and inference. This involves working with both structured and unstructured data from various sources, leveraging your expertise in data engineering and machine learning to create a robust and scalable system.

We are seeking an MLOps Engineer to help us grow our technical team's capabilities. The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience would be a great addition.

You will be responsible for building and maintaining models and data pipelines that power our data science workflows. You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of the data we use for model training and inference. This involves working with both structured and unstructured data from various sources, leveraging your expertise in data engineering and machine learning to create a robust and scalable system.

We are looking for Customer Support Engineerin our site in Netanya with a strong data background, who can provide ongoing support to our client while monitoring our production pipeline ensuring we deliver within the agreed SLA . You will be an essential part of the frontline support team responsible for providing prompt and efficient support and service to end-users experiencing technical issues with software. The primary responsibility is to ensure the timely resolution of data-related problems and to facilitate effective communication between end-users and higher-level support teams. The ideal candidate has relevant experience in data engineering. This role involves coordinating with various teams, managing schedules, and ensuring that production processes run smoothly and efficiently.

Work schedule:

The employee will be required to work 5 days a week, spread across the entire week, including Saturday and Sunday, with off-days during weekdays if shifts fall on weekends. The job is shift-based, with shifts occurring both during the day/evening/night and on weekends.

What You'll Do:

You will be responsible for maintaining and monitoring data pipelines that power our data science workflows while developing and maintaining production schedules.
Identify potential production issues and work proactively to resolve them.
Communicate any production delays or issues to relevant stakeholders and customers.
Maintain accurate records of production activities, including schedules, bugs and project status.
Coordinate with various departments (e.g., Data, DE, PO) to ensure timely completion of tasks.
Serve as the frontline support and provide prompt and efficient support to end-users experiencing technical issues with the platform.
Troubleshoot problems and offer effective solutions to maintain optimal user experiences.
Collaborate with other teams, including R&D and product management, to resolve customer issues.

We are looking for Customer Support Engineerin our site in Netanya with a strong data background, who can provide ongoing support to our client while monitoring our production pipeline ensuring we deliver within the agreed SLA . You will be an essential part of the frontline support team responsible for providing prompt and efficient support and service to end-users experiencing technical issues with software. The primary responsibility is to ensure the timely resolution of data-related problems and to facilitate effective communication between end-users and higher-level support teams. The ideal candidate has relevant experience in data engineering. This role involves coordinating with various teams, managing schedules, and ensuring that production processes run smoothly and efficiently.

Work schedule:

The employee will be required to work 5 days a week, spread across the entire week, including Saturday and Sunday, with off-days during weekdays if shifts fall on weekends. The job is shift-based, with shifts occurring both during the day/evening/night and on weekends.

What You'll Do:

You will be responsible for maintaining and monitoring data pipelines that power our data science workflows while developing and maintaining production schedules.
Identify potential production issues and work proactively to resolve them.
Communicate any production delays or issues to relevant stakeholders and customers.
Maintain accurate records of production activities, including schedules, bugs and project status.
Coordinate with various departments (e.g., Data, DE, PO) to ensure timely completion of tasks.
Serve as the frontline support and provide prompt and efficient support to end-users experiencing technical issues with the platform.
Troubleshoot problems and offer effective solutions to maintain optimal user experiences.
Collaborate with other teams, including R&D and product management, to resolve customer issues.

The Controller will be responsible for overseeing and managing financial operations, ensuring compliance with regulations, preparing financial reports, and analyzing financial data. The Controller will also collaborate with the leadership team to develop financial strategies and forecasts.