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We are looking for an experienced and talented Head of Data to join our leadership team in Israel. This is a strategic senior role, reporting directly to the local CEO, with full ownership of the Data pillar. Youll lead a multidisciplinary team of Analysts, Data Engineers, and Data Scientists, managing high-impact, cross-functional projects that support key business goals.
Beyond team leadership, you'll shape how data is used across the organization from building the right infrastructure and tools to unlocking insights that drive decisions. Working closely with senior stakeholders, youll turn complex business needs into practical data solutions, influence product direction, and stay hands-on with real technical challenges. Youll work directly with cutting-edge technologies like BigQuery, Python, machine learning (ML), web scraping, and large language models (LLMs) to drive innovation and enable data-driven decision-making across the company. This is a rare opportunity to combine strategic impact with daily technical depth in a dynamic, fast-moving environment.
Key Responsibilities:
Lead and manage the Data pillar in Israel, including a multidisciplinary team of Analysts, Data Engineers, and Data Scientists.
Be hands-on in solving complex data challenges and contributing directly to core data initiatives.
Oversee end-to-end delivery of cross-organizational data projects.
Collaborate closely with various departments including Marketing, Finance, Sales, and senior management.
Partner with global data teams across the organization.
Own the local data infrastructure, data quality, and analytical and operational processes.
Champion a data-driven mindset and foster collaboration around data.

Were growing and looking to hire a Data Team Leader who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
We are seeking a Data Team Leader with strong technical expertise and a flair for innovation to join our dynamic Data Science and Analytics group. You will play a key role in advancing solution by crafting and sustaining the data collection infrastructures, including cutting-edge LLM data pipelines and web collection frameworks, along with data alliances.
This role requires a visionary leader who is both hands-on and proactive, able to collaborate closely with analysts, data scientists, and product teams to devise scalable solutions. Your mission will be to ensure data reliability and to drive the creation and maintenance of high-scale data collection systems, manage data alliances, and uphold governance within our data collection infrastructure.
Responsibilities:
As Data Team Leader, Your impact will be:
Leading and scaling a team of talented LLM engineers, network analysts, and web scrapers to drive core data initiatives.
Fostering a culture of innovationpromoting continuous learning and high engineering standards.
Defining data collection strategies aligned with business KPIs and ensuring measurable impact.
Maintaining and evolving our data infrastructure, with a strong focus on automation and efficiency.
Working closely with backend developers, PMs, data scientists, analysts, and external data partners to design and deliver robust data solutions.
Integrating and managing data flows across various sources and systems.
Taking ownership of data alliances, budgets, and overall data strategy.

The Senior system architect will lead a team responsible for the design and maintenance of data architecture and systems in the cloud, with a focus on Google Cloud.
The candidate will be responsible for developing POCs, writing system and data architecture documentation, performing cloud migration processes, and building Machine Learning models in Python.
The role also requires team leadership skills and the ability to manage and deliver tasks with high performance.

We are looking for a AI Tech Lead.
As a AI Tech Lead, youll be at the forefront of innovation, crafting and deploying AI features that revolutionize our video SaaS products. Imagine collaborating with brilliant minds across engineering, product, and design teams, bringing your AI-driven solutions to life and transforming user experiences and operational efficiencies. If youre passionate about data science, machine learning, and AI technologies, and thrive on turning complex data insights into groundbreaking product enhancements, this is the perfect opportunity for you!
The day-to-day:
Develop and implement AI models and algorithms to enhance video SaaS products.
Collaborate with product managers, engineers, and designers to integrate AI features seamlessly into the product.
Analyze large datasets to extract actionable insights and drive data-informed decisions.
Build predictive models to improve user experience, engagement, and retention.
Design and conduct experiments to validate the impact of AI features on product performance.
Continuously monitor and optimize AI models in production to ensure high performance and accuracy.
Stay updated with the latest advancements in AI and machine learning to bring innovative solutions .
Communicate findings and recommendations to stakeholders in a clear and concise manner.

We are looking for a Tech Lead - Data Platform.
As a tech lead, you will take a leading part in designing and building the infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark and other technologies and mentor team members.
What You'll Do:
Design and develop platform capabilities for scalable data products tailored to enterprise customers
Collaborate with Product Managers, Software Engineers, and DevOps Engineers to gather requirements, create system and feature design documentation, and implement solutions across diverse environments
Write Java-based back-end code, leveraging Spark, various cloud services, and relational databases
Partner with the production team to define solutions, monitor services, troubleshoot issues, and identify cost optimization opportunities
Mentor and guide team engineers, providing support in their daily tasks and development
Build and use monitoring infrastructure to track services, troubleshoot problems, and optimize performance, throughput, and costs
Address privacy challenges to ensure the protection and confidentiality of consumer and patient data