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In this role, you will be responsible for providing top-tier service to publishers, ensuring retention, and driving growth in their monetization performance. You will assist team members and managers in delivering data-driven insights and operational excellence while collaborating with cross-functional teams to optimize results.

This is an exciting opportunity to join a leading tech company, work with major digital publishers, and grow within a fast-paced, data-driven environment.



Main Responsibilities:

Manage and nurture relationships with publishers, ensuring long-term partnerships and client satisfaction.
Provide ongoing support to publisher accounts, ensuring smooth daily operations and a high level of service.
Monitor and analyze reports to track performance, identify trends, and provide actionable insights to the team and management.
Assist in managing publisher-related tasks and operations, ensuring efficiency and accuracy in execution.
Facilitate cross-team collaboration, coordinating between departments such as Tech, Product, and Sales to optimize publisher success.
Develop a strong understanding of the adtech industry, with a focus on ad revenue generation publisher monetization and digital advertising strategies.

We are looking for a detail-oriented and proactive Business Data Analyst who is passionate about transforming data into actionable insights. This role involves working closely with cross-functional teams to support data-driven decision-making in a fast-paced environment.

Youll play a key role in shaping data strategy and delivering insights that impact global business decisions.



Key Responsibilities:

Collect, process, and analyze data from various sources to drive business performance.
Design and build interactive Power BI dashboards and reports.
Collaborate with business stakeholders to understand data needs and translate them into analytical solutions.
Identify trends, correlations, and insights to inform strategic decisions.
Maintained and optimized data models, reporting pipelines, and documentation.

This role sits at the intersection of ad technology, operations, and publisher support. You will serve as an operational point of contact for publisher partners and internal teams, assisting with troubleshooting, supporting onboarding, and helping to optimize ad setups for performance and revenue.

In this role, youll have the opportunity to learn and develop innovative solutions using advanced ad-tech tools and methodologies. This position is ideal for highly motivated individuals who are eager to grow, take full ownership, and build a strong foundation in publisher operations and technical troubleshooting within a real-world, high-scale environment.

Responsibilities

Support and troubleshoot publisher ad implementations and integrations.
Act as a point of contact for technical escalations and facilitate the resolution of operational and technical issues.
Help onboard new publishers and support more advanced integration projects.
Work closely with internal teams (Account Management, Ad Ops, Product, Development, and Analytics).
Define, document, and improve repeatable operational processes.
Measure and reduce recurring operational and media issues.

As a Senior Publisher Success Manager, you will play a critical role in driving the growth and success of our key publishing partners. This role requires a strategic thinker with deep industry knowledge and strong relationship management skills to ensure publisher retention, revenue optimization, and long-term growth.

You will serve as the primary point of contact for top-tier publishers, leading efforts to execute strategic initiatives, maximize monetization performance, and collaborate cross-functionally to improve business outcomes. Additionally, you will help shape best practices, mentor junior team members, and contribute to the evolution of our publisher success strategies.

Key Responsibilities

Strategic Publisher Management - Build, nurture, and expand relationships with publishers, ensuring long-term engagement, high client satisfaction, and revenue growth.
Performance Optimization & Data-Driven Insights - Proactively analyze performance metrics, identify revenue opportunities, and deliver strategic recommendations to optimize yield and maximize revenue.
Ownership of Key Accounts - Act as the direct point of contact for major publishing partners, providing top-tier service and ensuring seamless communication and issue resolution.
Market & Industry Expertise - Stay ahead of industry trends, emerging technologies, and competitive landscapes to proactively provide strategic guidance to publishers.
Process Optimization & Best Practices Development - Drive efficiency by refining internal workflows, contributing to playbooks, and mentoring junior team members to enhance team capabilities.
Cross-Team Collaboration - Act as a key liaison between publishers and internal teams (Product, Engineering, Business Development) to ensure seamless integrations, technical support, and continuous optimization.

We are seeking a Senior Product Designer to own the end-to-end experience for one of our core product streams. In this role, youll lead discovery, experience definition, and hands-on design execution- from problem framing and user research to UX/UI design, prototyping, and usability validation. This is a hybrid role with 2 days a week (Monday, and Wednesday) required from our Jerusalem office (located in the Central Bus Station, next to the train).

Youll work closely with Product Management, Engineering, Data, and Customer Experience partners to deeply understand user needs, shape product strategy, and translate insights into elegant, high-impact product experiences. This role is ideal for someone who thrives in fast-paced environments, thinks systematically, and can balance strategic clarity with thoughtful craft.

What Youll Do:
End-to-End Experience Design
Lead the full UX design process for your product area-from research and concepts to high-fidelity UI and delivery.
Create user flows, wireframes, interactive prototypes, and polished interfaces using Figma.
Partner with Product and Engineering to define requirements, scope solutions, and ensure smooth implementation.
User Research Expertise
Plan and conduct research to uncover user needs, motivations, and pain points (e.g., interviews, surveys, diary studies).
Run usability testing and concept validation to inform iteration and improve product quality.
Synthesize findings into insights that shape product strategy and prioritization.
Product & Strategy Influence
Collaborate tightly with PMs to define problem spaces, frame opportunities, and evaluate trade-offs.
Contribute to product direction by grounding roadmap decisions in user outcomes, experience quality, and data.
Analyze product metrics and user feedback to identify experience gaps and guide continuous improvement.
Systems & Consistency
Contribute to and expand our design system to ensure scalable and consistent UI patterns across the platform.
Advocate for accessibility, usability, clarity, and simplicity in every interaction throughout the user journey.
Championship of Human-Centered Design
Promote user-centered thinking across teams and stakeholders.
Facilitate workshops and share insights to align teams around user needs.

Were looking for an Applied Data Scientist to help us build and scale the core marketing science products that power our platform. This role sits at the intersection of data science and engineering: owning statistical models end to end, deploying them into production, and turning advanced analytics into reliable, customer‑facing capabilities. Your work will directly influence how thousands of brands measure ROI and allocate millions in marketing spend.

What Youll Do:
Build marketing measurement and optimization products (e.g., attribution models, MMM, incrementality testing, forecasting systems)
Develop and deploy statistical and machine learning models to production
Create scalable data pipelines and APIs that serve real-time analytics
Partner closely with Product, Engineering, and other stakeholders to translate business questions into clear analytical solutions.
Own features end to end from statistical design and validation through deployment, monitoring, and iteration.

We're looking for a Data Engineer with 4+ year experience to join our Data Engineering team and help us build and scale our production-grade data platform. You'll work on high-performance systems built on self-hosted ClickHouse, optimize complex data pipelines, and collaborate closely with Product, Analytics, and Infrastructure teams to deliver reliable, fast, and scalable data solutions.

This is a hands-on technical role where you'll have a significant impact on how we ingest, model, store, and serve data that powers our analytics and AI-driven products.
Youll play a key role in shaping the direction of our data platform and have meaningful ownership over critical components of our architecture.

What You'll Do:
Data Modeling & Architecture
Design and evolve data models that reflect business logic and support analytical use cases
Collaborate with the BI and Analytics teams to understand data requirements and translate them into efficient schemas
Performance Optimization
Optimize ClickHouse schemas, partitioning strategies, indexing, and compression
Profile and tune slow queries to improve performance and reduce costs
Implement systems that ensure data quality, consistency, and operational efficiency (e.g., deduplication, validation, anomaly detection)
Monitor pipeline health, data freshness, and query performance with appropriate alerting mechanisms
SQL Compiler Development
Develop and maintain the SQL Compiler layer that translates high-level queries into optimized ClickHouse execution plansImplement query optimization and rewriting strategies to improve performanceDebug and resolve compiler issues to ensure accurate and efficient query translation

Data Pipeline Development & Collaboration
Review and advise the Integration team on pipeline architecture, performance, and best practices.
Provide guidance on data modeling, schema design, and optimization for new data sources.
Troubleshoot and maintain existing pipelines when issues arise or optimization is needed
Ensure data freshness, reliability, and quality across all ingestion pipelines.
Collaboration & Support
Work closely with the Integration team to ensure smooth data ingestion from new sources.
Partner with Infrastructure to support high availability and disaster recovery
Support other teams across the company in accessing and using data effectively.

Your experience building well-architected, high-performance frontend components will directly impact how quickly teams can ship, how consistent our products feel, and how confidently we can continue to innovate at scale.

What Youll Do:
Build and maintain shared frontend foundations used across products, with a strong focus on scalability, performance, and long-term maintainability.
Build, document, and maintain a shared UI components library used across products.
Develop high-performance data visualization components and reusable interface patterns.
Collaborate with design and product teams to transform Figma designs into functional React components.
Take ownership of projects and collaborate effectively across teams to deliver production-grade UI solutions.
Participate in the modernization and technical health of the frontend by refactoring, improving architecture and state management, enforcing code quality standards, and continuously optimizing rendering, bundling, and build workflows
Leverage AI tooling to assist with frontend development workflows, including code generation and refactoring, performance analysis and design-to-code alignment, while applying strong engineering judgment to review and productionize results.

our data & AI Division is looking for a talented Qlik Developer to join our growing team. This role combines Qlik development, SQL, ETL, and data analysis, with a strong emphasis on business understanding and delivering actionable insights that support strategic decision-making. Responsibilities:
* Develop and maintain Qlik Sense / Qlik Cloud dashboards, reports, and data models.
* Design and implement ETL processes to extract, transform, and prepare data for analysis.
* Build automated reports and monitoring solutions to support business operations.
* Perform business analysis by understanding organizational needs and translating business requirements into data solutions.
* Analyze and model business processes to provide insights across domains such as Sales, Inventory, and Finance.
* Collaborate with business stakeholders and technical teams to deliver data -driven solutions.