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Join Us as a Clinical Trial Coordinator - Make an Impact at the Forefront of Innovation
As part of our global team, youll have the opportunity to provide administrative and technical support to the Project Team. As a Clinical Trial Coordinator, you'll coordinate and facilitate project activities and may serve as a study lead, acting as a cross-functional liaison for the project team. You will act as a buddy during the onboarding phase and provide training to new staff as needed. Additionally, you will support departmental and cross-functional initiatives for process improvements and enhancements.
What Youll Do:
According to the specific role (Central or Local), coordinates, oversees and completes functions on assigned trials activities detailed on the task matrix.
Performs department, Internal, Country and Investigator file reviews as assigned and documents findings in appropriate system.
Ensures allocated tasks are performed on time, within budget and to a high quality standard. Proactively communicates any risks to project leads and line manager as appropriate.
Supports the maintenance of study specific documentation and global support with specific systems, tools and trackers including but not limited to: study team lists, tracking of project specific training requirements, system access management for organization/vendor/clients, and tracking of project level activity plans in appropriate system. Ensures (e)TMF is up to date by following file review schedules and documents findings in appropriate system.
Provides system support (i.e. GoBalto & eTMF).
Supports RBM activities.
Performs administrative tasks on assigned trials including but not limited to: timely processing of documents sent to Client (e)TMF as assigned, performing (e)TMF reviews, performing mass mailings and communications as needed, providing documents and reports to internal team members.
Supports scheduling and organization of client and/or internal meetings with completion of related meeting minutes.
Reviews and tracks local regulatory documents.
Transmits documents to client and centralized IRB/IEC.
Analyzes and reconciles study metrics and findings reports. Assists with clarification and resolution of findings related to site documentation.
Maintains vendor trackers.

Required Customer Support Manager
Job Description
As a Customer Support Manager you will play a key role in ensuring exceptional customer experience related to purchasing and collection, service coordination, and solution identification. You will develop the physical and digital infrastructure, including process development, through cross functional collaboration with other operational and customer facing teams. Your leadership will be crucial in maintaining high levels of customer satisfaction, resolving complex issues, and contributing to the success of our customer support operations. This role offers the opportunity to drive customer satisfaction and loyalty while building leadership capability in a dynamic, science-driven organization.
Key Responsibilities:
Design, build, and scale the customer support infrastructure and processes, including policies, workflows, tools, and KPIs.
Operate and continuously improve customer support performance, monitoring metrics, identifying trends, and driving service quality, efficiency, and compliance
Own customer escalations and cross-functional resolution, working closely with Sales, Product, and Technical teams to ensure a seamless customer experience
Provide regular performance and customer satisfaction reporting to leadership to enable data-driven decisions
Establish internal training frameworks and knowledge standards to support consistent, high-quality issue resolution
Build, lead, and develop a small customer support team, ensuring capability, accountability, and scalability as the organization grows.

We are looking for an exceptional Deep Learning Engineer to join our core autonomy team. In this role, you will be responsible for building the AI-driven "brain" of our autonomous driving technology. Your focus will be on designing, training, and deploying state-of-the-art Deep Learning models that handle high-level prediction and driving policy. You will solve complex, real-world challenges by leveraging advanced neural network architectures to optimize decision-making under high uncertainty.
Responsibilities
Model Training & Architecture: Design, train, and optimize cutting-edge Deep Learning models for prediction and driving policy.
End-to-End DL Development: Take ownership of the full DL lifecycle, from data curation and feature engineering to training, evaluation, and deployment.
Scalable Infrastructure: Develop robust pipelines for training and evaluating models on massive, real-world driving datasets.
Production Deployment: Optimize and integrate deep learning models to run efficiently in real-time within the core autonomy software stack.
Full-time availability at our Tel Aviv HQ.

We're looking for a hands-on IT Specialist to join our fast-paced team. The role includes maintaining local and cloud infrastructure (including AWS and local training servers), supporting employees, and managing IT assets and systems.
Responsibilities
Provide technical support for employees (hardware, software, and network issues - onsite and remote).
Prepare laptops and accounts for new hires, including system access, email setup, and HID cards.
Monitor and support local servers, AWS infrastructure, and network equipment.
Maintain office equipment (printers, webcams, conference systems) and ensure meeting rooms function properly.
Handle security camera systems and server room alerts (e.g., temperature anomalies).
Track, document, and manage IT inventory across offices and storage locations.
Conduct basic security and IT onboarding training for employees.

Required AI Researcher - World Model
Description
Our breakthrough World Model technology combines aerial imagery with real-time ground views to build an accurate, rich representation of the vehicle's environment. As part of our World Modeling team, you will drive the next generation of AI-powered, cloud-defined vehicle technology-tackling ambitious research and turning cutting-edge deep learning into real-world solutions.
Responsibilities:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.

Were looking for a Senior Data Engineer to own high-impact data products from architecture through production deployment, monitoring, and continuous improvement. This isnt a pure infrastructure role - youll combine strong engineering with product thinking, operational excellence, and awareness of data quality, cost, and business impact.
You will design, implement, test, deploy, and maintain production-grade data products - pipelines, transformation layers, data quality and reliability systems - using tools like DBT (on Spark) and Databricks. Youll apply best practices in Python and SQL to build scalable and maintainable data transformations, and leverage technologies like LLMs and GenAI to create innovative solutions for real business problems.
This role is ideal for someone who wants technical leadership responsibilities in an AI-first engineering culture - we use LLMs, GenAI, and AI-native development tools as core parts of our daily workflow.
Key Responsibilities
Act as a technical leader within the team - raise engineering standards, drive strong architectural choices, and improve how we build
Own data products end-to-end: design, development, deployment, monitoring, and iteration
Work closely with senior leadership to translate strategic goals into scalable data solutions
Develop and maintain production ETL/ELT pipelines using DBT (on Spark) and orchestrated workflows in Databricks
Build monitoring, alerting, and testing pipelines to ensure reliability and performance in production
Evaluate and introduce new technologies - including AI-native development tools - and integrate the ones that create real impact
Collaborate with customers and external data providers - gathering requirements and making product decisions.
Mentor team members through code reviews, pairing, and knowledge sharing