You will be part of the Data Collection Group, a diverse team of Integration Engineers, Technical Data Managers, Data Analysts, and Product Managers. Our group is responsible for the entire data lifecycle - from initial requirement definition to the final delivery of high-quality data to our internal customers in Algorithm teams, Product, and Project Management. In this role, you will ensure our data is precise, reliable, and meets the specific needs of our development teams, in addition to analyzing, checking and building platforms for users to access data.
What will your job look like?
Partner with internal stakeholders (Algorithm and Product Managers) to define data needs and translate them into structured collection plans and catalogs.
Lead data projects from the planning stage through execution, coordinating with our driving teams, to final delivery.
Build and maintain clear dashboards using BI tools to monitor data quality, validity, and delivery progress in real time.
Perform deep-dive research into various data components to identify and resolve anomalies, gaps or bottlenecks in our data pipelines.
Improve processes by innovation and outside-the-box thinking, applying AI-driven tools to build creative MVPs and POCs that automate workflows and solve various challenges.
Implement high standards for data validation, proactively identify trends, and raise "red flags" to stakeholders when data quality drops.

we are looking for a highly organized and detail-oriented professional to support the department's business operations, budget management, and cross-functional coordination.
In this role, you will be responsible for financial oversight, operational process optimization, and oepr
What will your job look like?
Drive and improve operational workflows and processes across the department to increase efficiency and scalability, working closely with the department's VP and management.
Act as a central point of contact for cross-team operational coordination and alignment.
Track department KPIs and deliverables, providing regular status updates to department VP (dashboards, reports.)
Knowledge management - create, refine, and manage department templates (procedures, presentations, onboarding).
Manage and track the department's budget, ensuring accuracy and efficiency - Build annual budget, identify financial gaps, analyze variances, rolling forecast.
Organize and coordinate meeting spaces for conferences, offsites, and team events.
Oversee catering and refreshments, managing catering orders and budget.
Support additional logistical needs.

You will be part of our company's REM department. our companys Road Experience Management (REM) is an end-to-end mapping and localization engine which is used for full autonomy capabilities and services.
Generating validation process and methodologies for such a technology giant is challenging, sufficient & enriching work.
Since we are dealing with a complex system based on machine learning and image processing, the analysis and validation processes require deep thinking as well as advanced technical and analytic abilities.
You will be responsible for defining and developing validation infrastructure, tools and methods using cutting edge technology and cloud-based application.
What will your job look like?
Participate in planning and implementation of advanced validation Processes
Define and implement end-to-end validation tools and methods with advanced geometric calculations, logics, and heuristic
Integrating new features into existing Validation Processes
Improving sensitivity, efficiency, effectiveness, and quality of validation processes
Management and prioritization of daily tasks
Integration of tools and algorithms from different departments in the company and applying them into our validation infrastructure.

What will your job look like:
Work closely with developers, product managers, and REM stakeholders to define analysis strategies and support data-driven decision-making.
Develop a deep understanding of REM's large-scale mapping ecosystem, including map creation, validation, and update pipelines.
Build analytical models to estimate map creation timelines, operational costs, and scalability across regions and map products.
Analyze map freshness, update latency, coverage gaps, and map quality to identify opportunities for improvement.
Analyze the impact of fleet size, geographic distribution, and driving patterns on map quality, coverage, and update velocity.
Build scripts, automate analysis workflows, and leverage AI-assisted tools to improve productivity and analytical effectiveness.