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we areseeking a Full Stack Team Lead to drive AI-first development across our core platform.
As an AI-first company, we integrate artificial intelligence into every facet of our operations, from product development to internal processes. In this role, you'll lead a team of 56 dedicated full-stack developers, working on cutting-edge technologies to enhance user experiences and data-driven solutions.
You'll have the autonomy to make technical decisions and support other developers in a collaborative environment.
What You Will Do
Lead Development Initiatives: Guide a team of full-stack developers in building core applications, ensuring the integration of AI-driven features.
Mentorship: Provide technical guidance to engineers, fostering their growth and promoting best practices in AI-assisted development.
Architectural Decisions: Make hands-on technical decisions for backend (Java + AWS) and frontend (React/Angular) components, incorporating AI tools where applicable.
Code Quality: Write clean, maintainable, and efficient code, setting high standards for code quality and review practices.
Cross-Functional Collaboration: Work closely with Product teams to prioritize features, estimate work, and keep projects on track, leveraging AI to streamline processes.
Innovation: Identify pain points and drive improvements in our codebase and processes, utilizing AI to enhance efficiency.
Team Motivation: Ensure daily alignment, remove blockers, and champion best practices within the team.

Were hiring a ML Engineer to accelerate AI-driven innovation across B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do.:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

Were hiring a Machine Learning Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of ML engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

Power the Future with us! At SolarEdge (NASDAQ: SEDG), 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. SolarEdge 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. We are looking for a Test Technician to join our R&D HW Battery Group. This role will involve working with cutting-edge technologies and contributing to the development of innovative energy storage solutions. What you will be doing:
* Electrical lab testing – Thermal tests, performance tests, PCBA tests ,debugging ,FA and etc (manual and automatic testing).
* Infra. supporting – Building of testing setups, cables, and mechanical assemblies
* Assist the team in the assembly of the product for all needed tests and lab activities.
* Work closely with other departments in order to promote the product.

Country:
Israel

City:
Herzliya

we are seeking a Senior Data Scientist to drive the development and implementation of AI-based solutions that solve complex business challenges across our innovative SaaS platform. In this key role, youll work cross-functionally to lead end-to-end AI projectsfrom data exploration to deploymenthelping shape the future of our intelligent products and user experiences.
If youre passionate about machine learning, LLMs, and real-world impact, and thrive in a collaborative, high-velocity environment, wed love to connect
What You Will Do:
Identify AI opportunities to enhance product experiences and operational efficiency.
Collect, analyze, and model diverse financial datasets to develop actionable AI Products.
Own the full AI solution lifecyclefrom problem definition to research, modeling, and hands-on implementation.
Break down complex problems into well-defined, structured work plans.
Collaborate closely with developers, product managers, and other stakeholders to integrate AI solutions seamlessly into products.
Stay up to date with AI, ML, and LLM trends, translating them into practical applications.
Provide technical leadership and mentorship to junior data scientists while balancing immediate delivery with long-term innovation.

Were hiring a Technical Sourcer to help us scale AI-First team by finding and engaging the best tech talent out there. In this high-impact role, youll partner with hiring managers and recruiters to proactively build pipelines, drive sourcing strategies, and identify top-tier candidatesespecially across technical domains.
were building an AI-First culture, which means youll be part of a team that leverages cutting-edge tools, automation, and data to source smarter, move faster, and create an exceptional candidate experience.
What You Will Do:
Lead sourcing efforts for technical roles across R&D and other departments, using AI tools and platforms to optimize outreach and engagement.
Collaborate with hiring managers and the recruitment team to understand hiring needs and develop scalable sourcing strategies.
Conduct Boolean searches, talent mapping, and competitor analysis across platforms such as LinkedIn Recruiter, GitHub, and Stack Overflow.
Leverage AI-powered tools (e.g., ChatGPT, Gem, SeekOut, and LinkedIn AI tools) to enhance search precision and message personalization.
Screen resumes, conduct initial phone screens, and assess candidate fit.
Maintain and nurture talent pipelines to meet both current and future hiring needs.
Research market trends and provide competitive intelligence to inform hiring strategies.
Analyze sourcing funnel metrics and continuously optimize processes based on data insights.
Deliver an outstanding, AI-supported candidate experience that reflects culture and values.

We are looking for a Product Manager - AI.
What You Will Do
Define success metrics: Define and implement KPIs to track progress toward desired outcomes.
Represent the voice of the customer in the design, AI research, and development processes, with a deep understanding of users mindset, needs, and pain points.
Deliver AI-enabled experiences to transform how procurement and finance teams work.
Partner cross-functionally to ensure that product improvements realize their full potential and impact.
Use data to inform decisions: Collaborate with data scientists and analysts to transform raw data into insights and high impact decisions.

we are seeking a Senior Product Manager to help drive the vision, strategy, and execution of our Fintech product offerings. Our solutions are transforming how businesses manage financial operations and ERP connectivity, with a focus on seamless user experiences, automation, and AI-powered efficiencies.
In this role, you will own critical product initiatives within the Fintech domain, working cross-functionally to deliver innovative, high-impact features. Youll collaborate with teams across the Bay Area and Israel and report directly to the Director of Fintech Product.
What You Will Do:
Define and execute product features and roadmap items that support the broader product strategy and company goals.
Manage fintech integrations and partnerships, ensuring seamless operations from validation through execution and ongoing operation.
Drive Product-Led Growth initiatives to enhance customer adoption, retention, and revenue generation.
Leverage AI-driven technologies and data-driven insights to innovate, improve user experience, and reduce operational friction.
Partner with engineering, design, data, and customer-facing teams to ensure timely delivery and successful product outcomes.
Serve as the product domain expert, clearly communicating vision, progress, and outcomes to stakeholders.
Serve as the voice of the customer in all product decisions, advocating for delightful, intuitive user experiences.