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Our SAP department is seeking a Talent Acquisition coordinator.
We are looking for a motivated Talent Acquisition to support our SAP recruitment activities.
This role requires organizational skills, attention to detail, and the ability to communicate effectively with candidates and internal teams.
A part-time (60%) on-site position, based in Raanana, Israel.
Key Responsibilities:
* Assist in the end-to-end recruitment process for SAP positions.
* Coordinate interviews, manage candidate communications, and update recruitment tracking systems.
* Support sourcing activities and maintain candidate databases.
* Collaborate with SAP hiring managers and the recruitment team to ensure smooth hiring processes.

Were looking for a Senior Data Engineer to join our Data team - someone whos passionate about building reliable, scalable data infrastructure and thrives on solving complex technical challenges.
In this role, youll own the design and development of end-to-end data pipelines that power analytics and data-driven decision-making.
Youll collaborate closely with both business and technical stakeholders to ensure data flows smoothly, accurately, and efficiently across the company.
What You Will Do:
Design, implement, and maintain large-scale ETL and ELT pipelines using modern data frameworks and cloud technologies.
Work with Redshift data warehouses to design efficient schemas and optimize performance.
Build and manage data ingestion processes from multiple sources - APIs, SaaS platforms, internal systems, and databases.
Collaborate with stakeholders to deliver clean, well-modeled, and high-quality data.
Build and evolve a modern, efficient, and scalable data warehouse architecture.
Ensure observability, monitoring, and testing across all data processes.
Apply best practices in CI/CD, version control (Git), and data quality validation.

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.