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we are a leading Payment as a Service (PaaS) provider that empowers management software companies and enterprise merchants to leverage payment as a growth engine. Our advanced technology and expert team guidance enable seamless payment integrations, driving customer acquisition, activation, and retention, significantly boosting partnering companies' revenue.
About the position:
As the Head of AI at our company, you will be responsible for shaping the company's AI vision, strategy, and execution to fully capitalize on our data's potential. You will oversee the advancement of our AI initiatives, ensuring alignment with business objectives and collaborating with all relevant units. The ideal candidate will have a strong hands-on background in AI and data science, with practical experience in applying ML and AI in large-scale production environments and experience with generative AI technologies.
Responsibilities:
Lead the AI strategy and drive the adoption of strategic AI initiatives.
Own the data strategy of the company
Build our Data & ML roadmap and execute it effectively.
Promote data and AI initiatives across the organization.
Advocate for and encourage a data-centric approach and mindset within the company.

As a Marketing and Sales Manager, you will report to the Chief Marketing Officer. You will be responsible for identifying and executing business opportunities in an assigned territory. You will define and execute market capture strategies for the assigned territory in order to achieve defined sales and new-business goals.

Power the Future with us! a global leader in high-performance smart energy technology, with over 5000 employees, offices in 34 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery Storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive. recognizes its talented and diverse workforce as a key competitive advantage. Our business success is a reflection of the quality and skill of our people. is committed to seeking out and retaining the finest human talent to ensure top business growth and performance. We are looking for an algorithm Developer with experience developing and optimizing data -driven and physics-informed algorithms. Your role will focus on optimal energy management, forecasting, anomaly detection, and reliability. Proficiency in Python and data Science frameworks is required, along with experience in optimization algorithms and high-performance computing. Join us to contribute to cutting-edge technology in the renewable energy sector. Responsibilities:
* Develop and optimize algorithms for optimal solar energy management, anomaly detection and automation.
* Collaborate with cross-functional teams to translate scientific models into efficient computational algorithms, writing high quality production ready code.
* Conduct performance analysis and refine algorithms to improve accuracy and efficiency.
* Utilize modern data analysis and AI tools to process large datasets, extract meaningful insights, and support decision-making.
* Document algorithm development processes and contribute to internal knowledge sharing.

seeking an experienced frontend Infrastructure Development team lead (Angular)! We are looking for a frontend team lead with expertise in Angular to lead and manage a team of developers while maintaining high code quality and excellent performance. The role involves developing advanced frontend infrastructures, solving complex technical problems, and working closely with UX / UI, backend, and DevOps teams. Responsibilities:
* Lead and guide a team of frontend developers, with a focus on Angular.
* Develop advanced and modular frontend infrastructures.
* Optimize performance and improve code quality.
* Work closely with UX / UI teams to ensure an excellent User Experience.
* Design and implement high-level technical solutions.
* Maintain and upgrade existing systems.
* Mentor and guide developers while ensuring high code quality standards.

Are you an innovative thinker, a data-driven problem solver, and a proactive communicator?
We are in search of a dynamic Bid Ops Optimization Engineer for our Global Header Bidding activity who embodies these qualities and is passionate about enhancing user engagement across our diverse portfolio of brands.
We are looking for an all-star bid ops engineer to join our Tel Aviv team. This person will be responsible to proactively identify optimization opportunities via complex data sets, conduct configurations necessary to improve performance, manage support/ break fix escalations, and work closely with Account managers, RnD and Product on scaling and supporting the activity.
As a Bid Ops Optimization Engineer you will:
Play a vital role in managing day-to-day ad operations tasks Proactively explore data, dashboards and conduct and ensure account health checks to discover opportunities to optimize and improve our publishers performance.
Identify novel optimization opportunities and implement them into a systematic daily workflow. Lead the development and execution of AB testing and optimization initiatives across all business units.
Act as a subject matter expert and escalation point for issues as they arise from our business teams across the globe. Translate both qualitative and quantitative test results into actionable business insights and relay them to Account manager and clients.
Utilize data and research from various sources to establish testing parameters and interpret test outcomes.
Work in a diverse global team towards optimizing existing and new accounts: Conversing daily with Account managers, Product RnD and clients too.
Collaborate closely with Product teams to support decision-making during the rollout of new features.
Support the complex alerts, and perform in-depth troubleshooting including DB analysis and reading system logs to identify and solve complex support issues that were escalated by 1st level monitoring support team
Share the knowledge Write technical notes and troubleshooting procedures to be used by the entire support organization.