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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.

Were at a pivotal stage: strong product-market fit, rapidly growing adoption, and ambitious plans to scale our platform significantly. As our product expands, the complexity of our data, integrations, and infrastructure grows with it - and thats where you come in. We need a hands-on backend engineer to help us build and scale the systems that power our data platform: integrating new providers, strengthening our data pipelines, ensuring data accuracy at scale, and evolving our infrastructure to support the next phase of growth. This role is critical to turning momentum into long-term impact, helping shape a product thats already proven its value and is now ready to scale fast and far.

What Youll Do:
Backend, hands-on development, building and maintaining server-side systems at scale.
Integrate data from a wide range of external platforms and providers into the data warehouse, working with diverse APIs and data formats.
Design, build, and operate data pipelines, with a deep understanding of data flow from fetching to ingest to final data house.
Own and maintain integrations with external data providers, including API communication and operational reliability.
Work on systems that handle real-world infrastructure challenges, including rate limiting, state management, data consistency, and scalability.
Work with analytics- and matrix-oriented data structures, writing efficient, reliable code to process and transform data.
Monitor, investigate, and resolve data mismatches.
Define and evolve database schemas, ensuring performance, clarity, and long-term maintainability.

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.