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We are seeking a highly experienced and proactive Executive Assistant to support our CEO and C-suite executives. This pivotal role ensures the seamless operation of the executive office, directly contributing to the effectiveness and strategic focus of the company's top leadership.
What will you be doing all day?
Manage and coordinate global complex schedules, appointments, and travel arrangements for the CEO and C-suite executives.
Manage confidential information with discretion and integrity.
Handle expense reports and reimbursements.
Act as a liaison between executives and internal/external stakeholders, handling inquiries and requests with diplomacy and professionalism.
Manage select personal administrative tasks of the CEO
Organize and coordinate meetings, including preparing agendas, taking minutes, and following up on action items.
Prepare reports, presentations, and other documents as needed.
Anticipate needs and proactively address issues before they arise.

We are looking for an Employee Experience Specialist (Maternity Leave Replacement)
This is an exciting opportunity to make an immediate impact as you'll ensure and maintain a well-organized work environment and create the best experience for our employees.
You will plan and execute employee engagement activities, team gatherings and events, happy hours, and more. Be responsible for employee life cycle events and participate in all employee touch points.
So, what will you be doing all day?
Oversee the employee journey, addressing both professional and personal aspects to ensure a well-rounded and fulfilling experience.
Manage and execute company events end-to-end, from conceptualization to realization - including celebrations, holidays, swag, gift distribution, workshops, welfare initiatives, and CSR activities.
Maintain and enhance existing internal infrastructures while optimizing all employee-related processes, including organizing team events,celebrating milestones, birthdays, and personal occasions.
Collaborate with HR teams and employees to lead, inspire, and ensure the seamless integration of employee experience initiatives into the organizational framework.
Serve as the primary point of contact for Tel Aviv employeesproviding support, answering questions, and ensuring a smooth and positive day-to-day experience.
Work closely with internal stakeholders to coordinate logistics and administrative needs that help drive various initiatives and projects, enhancing engagement and organizational culture.
Provide administrative support to our CTO by managing his calendar and assisting with administrative coordination to ensure things run efficiently.
Provide support at the reception area as needed, ensuring a warm, professional, and well-organized welcome experience.

We are looking for a Bookkeeper for 1 year maternity cover to join our growing Finance Department and assist in all areas of responsibilities as a part of the bookkeeping team.
What will you actually be doing?
Recording daily financial transactions and invoices.
Prepare and manage payments cycle to global vendors.
Track bank account balances and perform bank reconciliation.
Travel reports and personal expenses reimbursement.
Support in EOM closing.
Perform other bookkeeping tasks as requested.
Work in a multi-currency environment.

We are looking for a Senior Data Scientist to join our team and help advance our Apps solution. Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization. The role involves designing and implementing statistical and ML algorithms within big data pipelines, while ensuring data robustness and efficiency. You will be expected to come up with creative solutions to problems related to time series, text analysis, estimation and classification. You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.
Key Responsibilities: Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data engineers and analysts.
Participate in the design of our data products based on your knowledge of the data sources available.
Monitor and analyze data along the pipelines to ensure product quality and promptly resolve any issues that arise.

Required Director R&D, Shopper Intelligence
About the Role
As the R&D Director of Shopper Intelligence, youll lead a fast-scaling, multidisciplinary product group with startup energy and enterprise impact. Youll own the technical and organizational direction of the team, guiding multiple squads of engineers and data scientists building one of our most strategic offerings.
You will oversee the development of full-stack platforms and advanced ML models, working closely with Product, Design, Business, and Go-To-Market (GTM) teams to shape and execute a bold vision for Shopper Intelligence.
What Youll Do:
Leadership & Strategy
Define and drive the technical vision, structure, and roadmap for the Shopper Intelligence R&D group.
Lead multiple cross-functional teams composed of full-stack engineers, data engineers, and data scientists.
Serve as a key stakeholder in product, engineering, and business planningowning both delivery and innovation.
Product & Engineering Delivery
Collaborate deeply with Product, Business, and GTM stakeholders to co-own product vision and long-term strategy.
Oversee the design and development of web-based applications using React and TypeScript, with strong focus on user experience and performance.
Lead backend development with Node.js, NestJS, and microservice architecture supporting scalable APIs and data flows.
Guide implementation of robust Python-based data pipelines and microservices using orchestration tools like Airflow and data processing frameworks like Spark.
Ensure world-class engineering practices around CI/CD, monitoring, testing, and DevOps using Kubernetes, Docker, GitHub Actions, and Terraform on AWS.
Data & AI Innovation
Manage teams developing advanced machine learning models across domains such as signal processing, inference, and LLM-based architectures (e.g., transformers, RAG).
Oversee data science workflows from exploration and analysis to model training, validation, deployment, and monitoring.
Leverage and extend high-scale analytical environments built on SQL, Firebolt, Snowflake, and real-time data engines.
Support the development of AI-powered features that deliver intuitive, decision-ready insights to our customers.
Team Management & Culture
Build, coach, and scale teams of highly capable tech leads, senior engineers, and data scientists.
Establish a strong engineering culture focused on innovation, quality, ownership, and continuous learning.
Partner across functions to ensure alignment between technical capabilities and product/market strategy.