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Required Senior Data Engineer
Our Mission
Our mission is to help enterprise supply chain teams automate decisions, eliminate inefficiencies, and drive profitability by turning complex, disconnected data into actionable insights in seconds.
Job Summary:
As a Senior Data Engineer you will be helping us design and build a flexible and scalable system that will allow our business to move fast and innovate. You will be expected to show ownership and responsibility for the code you write, but it doesn't stop there. at our company, you are encouraged to think big and help out in other areas as well.
Key focuses:
Designing and writing code that is critical for business growth
Mastering scalability and enterprise-grade SAAS product implementation
Sense of ownership - leading design for new products and initiatives as well as integrating with currently implemented best-practices
Review your peer's design and code
Work closely with product managers, peer engineers, and business stakeholders.

Required Data Operations & Annotations Manager
Our Mission
Our mission is to help enterprise supply chain teams automate decisions, eliminate inefficiencies, and drive profitability by turning complex, disconnected data into actionable insights in seconds.
Role Overview:
As a Data Operations & Annotations Manager, you will be responsible for building and managing a small foundation data operations and annotation team, establishing processes dealing with a diverse set of data sources (e.g. images, text, floorplans, etc.), overseeing the data pipeline, annotation pipeline, and ensuring high-quality labeled data for AI/ML models. You will work closely with data scientists, engineers, and product managers as part of the R&D team to refine annotation guidelines, monitor performance, and implement process improvements.
This is a hands-on role at the intersection of research, data science, and operations ideal for someone who thrives in fast-paced, cross-functional environments.
Key Responsibilities:
Own and optimize the end-to-end data flow across internal systems and platforms.
Build, manage, and mentor a team working across diverse data types: images, text, floorplans, and more.
Define, refine, and enforce annotation guidelines and quality standards.
Monitor data quality metrics, accuracy, consistency, and edge case handling.
Act as a player-coach: participate directly in annotation tasks while overseeing daily operations.
Identify and recommend tools and technologies to optimize workflows.
Collaborate with ML engineers and data scientists to optimize processes.
Identify and implement tools, technologies, and process improvements in close collaboration with ML engineers and data scientists to optimize end-to-end workflows.

Required Senior Data Engineer
What You'll Do:
Shape the Future of Data- Join our mission to build the foundational pipelines and tools that power measurement, insights, and decision-making across our product, analytics, and leadership teams.
Develop the Platform Infrastructure - Build the core infrastructure that powers our data ecosystem including the Kafka events-system, DDL management with Terraform, internal data APIs on top of Databricks, and custom admin tools (e.g. Django-based interfaces).
Build Real-time Analytical Applications - Develop internal web applications to provide real-time visibility into platform behavior, operational metrics, and business KPIs integrating data engineering with user-facing insights.
Solve Meaningful Problems with the Right Tools - Tackle complex data challenges using modern technologies such as Spark, Kafka, Databricks, AWS, Airflow, and Python. Think creatively to make the hard things simple.
Own It End-to-End - Design, build, and scale our high-quality data platform by developing reliable and efficient data pipelines. Take ownership from concept to production and long-term maintenance.
Collaborate Cross-Functionally - Partner closely with backend engineers, data analysts, and data scientists to drive initiatives from both a platform and business perspective. Help translate ideas into robust data solutions.
Optimize for Analytics and Action - Design and deliver datasets in the right shape, location, and format to maximize usability and impact - whether thats through lakehouse tables, real-time streams, or analytics-optimized storage.
You will report to the Data Engineering Team Lead and help shape a culture of technical excellence, ownership, and impact.

A global leader in performance marketing, is looking for a talented Data Operations Manager to join us on our mission to simplify decision-making for millions!
What You'll Do
Responsibilities
The job consists of processing sales data from our business partners to our internal systems, validating and creating accurate analytics and financial reports.
Being a part of the monthly billing cycle.
Be a critical focal point to internal key users, product managers, bizdev, campaign managers, etc.
Own the data development process end-to-end including business understanding, methodology, QA, and integration maintenance.
Working with various systems such as Salesforce, Tableau, Jira, Monday, Slack and other internal systems.

we are a pioneering startup transforming the world of retail through next-generation IoT. Our platform bridges the physical and digital realms by leveraging battery-less BLE tags that stream real-time data to a powerful cloud platform via in-store wireless networks. This continuous data flow enables retailers to unlock unprecedented insights, optimize operations, and elevate the customer experience like never before.

Were on a mission to make every item in the store "talk" and we're just getting started.

We are looking for a hands-on and strategic Team Leader to head our Data Science & Machine Learning team. This is a high-impact leadership role where youll guide a growing team of Data Scientists and ML Engineers tackling some of the most complex and unique challenges in retail analytics from recommendation engines and time series forecasting to signal processing, clustering, and beyond.

You'll be responsible for shaping the teams roadmap, championing innovation, and translating business challenges into scalable, production-grade ML solutions, powered by our company rich and continuous IoT data streams.

Responsibilities
Lead & Inspire: Manage and mentor a talented team of Data Scientists and ML Engineers, fostering a culture of collaboration, ownership, and technical excellence.
Drive ML Strategy: Define and own the teams roadmap, aligning it with company goals and product direction.
Deliver Impact: Guide the team through the full ML lifecycle from business understanding and data exploration to model development, validation, deployment, and monitoring.
Establish Best Practices: Implement and advocate for high standards in experimentation, model management, reproducibility, and delivery.
Cross-Functional Collaboration: Partner with Data Engineering, Product, and Business stakeholders to define priorities, understand requirements, and deliver actionable, measurable outcomes.
Research & Innovate: Stay on top of the latest advancements in ML and apply state-of-the-art techniques to drive product innovation and value.
Translate Complexity: Communicate sophisticated ML concepts clearly to a wide range of audiences from executives to engineers to customers.

the all-in-one platform for hospitality businesses to automate and optimize every aspect of their operations. With purpose-built technology, industry-wide expertise, and an R&D team of 200+ engineers, ensures that hospitality businesses can streamline and achieve growth while delivering the best value to guests. With a complete suite of features and 150+ industry partners, including major booking OTAs like Airbnb, Vrbo, Booking.com, Tripadvisor, Expedia, Hopper, Google Travel, and many more, transforming the hospitality industry with innovative solutions.

Today, has 15 offices and 700+ team members across the globe.
We are seeking a seasoned and strategic Head of Analytics to lead and manage our team of analysts while contributing hands-on to the performance analytics domain.

This is a high-impact role requiring a blend of analytical expertise, leadership skills, and business acumen.
You will take ownership of performance analytics by tracking company KPIs, analyzing performance metrics, and providing actionable insights and predictions on business performance. Additionally, you will collaborate with cross-functional teams to promote a data-driven decision-making culture and ensure alignment with strategic goals.

Responsibilities
Manage and mentor a high-performing analytics team, fostering growth and collaboration. Define team objectives and ensure alignment with business priorities.
Partner with executive leadership to identify opportunities to leverage data for strategic business decisions.
Drive high standards of data quality and governance, ensuring the accuracy and reliability of insights.
Partner with data engineering to optimize data pipelines and analytics infrastructure.
Collaborate closely with internal stakeholders and teams to deliver impactful insights that drive alignment with company objectives.
Ensure clear communication and alignment of analytics priorities across stakeholders.
Utilize strong SQL skills to engage directly with data, build queries, and support complex analyses.
Oversee the creation and maintenance of dashboards, reports, and KPIs to monitor performance across all business functions.
Identify trends, anomalies, and opportunities to inform decision-making and drive continuous improvement.

A part of the POC GROWING TEAM- This role will have a substantial impact on the company's future. It will involve managing the integration process with the data warehouses of some of the world's largest brands. This includes:

Mapping the different data sources to connect to (based on dozens of data sources connects to).
Modelling the data in platform, based on the business context and the customers KPIs.
Building a deep understanding of models and analyses to analyze them and debug problems.
Building and defining tools to automate and improve the integration process (scripts to automated data discovery, data pipeline, validation scripts, etc)
Data is the underlying asset of our vision. You will directly impact the core value of the product, which is already used by major brands.
Youll be prioritizing and designing product features (not dashboards), yet you will also work closely with our customers to understand how data is leveraged to make decisions, learn which insights are valued, etc. This wide perspective will put you in a key position to shape the strategy of the growing product, and define its KPIs.
Model data within the platform based on business context and customer KPIs to deliver growth insights. This includes building and defining tools to automate and enhance the integration process, such as scripts for automated data discovery, data pipelines, and validation.
As part of the pre-sales department, you'll lead PoCs with top global companies. This diverse, fast-paced role offers exciting opportunities to work with various industries and make a significant impact. You play a key role in bridging customer needs to our solutions.
If youre interested, you will also have the opportunity of diving into the world of ML led by our excellent Data Science team, taking an active part in structuring the models which run behind our products engine.

Required Senior Data Engineer
Tel Aviv
We are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint weve got huge goals.
As a Senior Data Engineer, youll join a super-talented & motivated engineering team responsible for our Data Engineering team and will take a key role in our site in TLV. You will lead development and work with complex transportation data, design streamlined systems to process data from ride bookings, payments, and more, ensuring its clean, fast and serves our business needs.
What You'll Do:
You will be responsible for scalable data, pipeline, and backend services with challenging data algorithms.
Participate in the end-to-end development cycle of architecture, design, development, QA, deployment, and monitoring.
Work with talented engineers, and a broad forum of experts and stakeholders to create a stable and scalable product.
Build highly scalable, efficient, and available data pipelines/solutions, serving our data across the organization and to stakeholders.
Monitor data quality, proactively correcting discrepancies ensuring data reliability & accuracy.

Required Lead Data Engineer
Tel Aviv
We are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint weve got huge goals.
As a Lead Data Engineer, youll join a super-talented & motivated engineering team responsible for our Data Engineering team and will take a key role in our site in TLV. You will lead development and work with complex transportation data, design streamlined systems to process data from ride bookings, payments, and more, ensuring its clean, fast and serves our business needs.
What You'll Do:
You will be responsible for scalable data, pipeline, and backend services with challenging data algorithms.
Participate in the end-to-end development cycle of architecture, design, development, QA, deployment, and monitoring.
Work with talented engineers, and a broad forum of experts and stakeholders to create a stable and scalable product.
Build highly scalable, efficient, and available data pipelines/solutions, serving our data across the organization and to stakeholders.
Monitor data quality, proactively correcting discrepancies ensuring data reliability & accuracy.

We're looking for a hands-on Senior BI Analyst to drive the full business intelligence stack- from data ingestion and modeling to dashboarding and stakeholder insights. If youve led BI projects end-to-end, enjoy building scalable systems, and want to have a strategic impact, this role is for you.

This is not your typical analyst role- were looking for someone who can independently set up and scale our BI foundations while partnering closely with business, product, and engineering teams.
Youll be a one-person BI powerhouse.
About the role:
Lead the design and execution of cross-company BI initiative from concept to implementation.
Partner with GTM, product, and operations teams to define KPIs, track performance, and uncover growth opportunities.
Implement and scale BI platforms (e.g., Power BI, Tableau) and define best practices for dashboards and reporting.
Own the full data flow: from source systems to dashboards - helping ensure data quality, consistency, and accessibility.
Write optimized SQL for complex analyses, recurring reports, and data validations.
Build and maintain clean, scalable data pipelines and models in collaboration with data engineering.

Required Data Infrastructure Engineer
Tel Aviv
We are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint weve got huge goals.
As a Data Engineer, you will join a talented team of engineers, in charge of our core data infrastructure, while working closely with other engineering and data teams. You will lead the development of complex solutions, work on various cutting edge technologies, and be a critical part in our mission to shape the future of transportation, affecting tens of thousands of riders daily worldwide.
What Youll Do:
Design, build, and maintain scalable data platforms, pipelines, and solutions for data ingestion, processing and orchestration, leveraging Kubernetes, Airflow, Kafka and more.
Develop and manage cloud-based data solutions on AWS utilizing Infrastructure as Code (IaC) frameworks like Terraform or CloudFormation
Manage Snowflake environments, including database architecture, resource provisioning, and access control.
Ensure system reliability and observability with monitoring, logging, and alerting tools like Prometheus and CloudWatch.
Continuously optimize storage, compute, and data processing costs and performance.

We are in search of a detail-oriented and analytical Business Analyst to join our growth team.
The successful candidate will have a minimum of 5 years of dedicated experience in data analysis, a self-learner with a strong drive to excel, and a proven track record of turning data into actionable insights.
What Youll Do:
Data Analysis and Interpretation:
Conduct comprehensive data analysis using analytics tools (Amplitude, ThoughtSpot) to identify trends, patterns, and insights.
Translate complex data sets into actionable recommendations for product improvements and strategic initiatives.
Performance Metrics and Reporting:
Develop and maintain key performance indicators (KPIs) for product performance.
Create and present regular reports and dashboards to stakeholders, providing clear and concise summaries of findings.
Data-driven Decision Making:
Collaborate with cross-functional teams to integrate data-driven decision-making into product roadmap .
Support A/B testing and other data-driven experiments to improve marketing outcomes.
Collaboration and Communication:
Work closely with product managers and other team members to understand business goals and data needs.
Communicate complex data insights in a clear and understandable manner to non-technical stakeholders.
Data Integrity and Quality:
Ensure the accuracy and reliability of data by implementing best practices for data collection, processing, and storage.
Identify and resolve data quality issues.
Reporting and Infrastructure:
Build and maintain reports, ThoughtSpot dashboards, and KPIs to monitor performance.
Develop data processes and build data infrastructure for relevant stakeholders.
Build and enhance multiple fact, dim and marts in DBT environment to be used utilized by advanced analytics tools.

We are looking for a Software Engineer to help the Data Team develop the core automation engine that powers our cutting-edge security platform.

This role goes beyond simple data processingits about building a scalable, well-architecture software foundation for high-performance, cloud-native cybersecurity applications. Youll be designing and implementing robust, maintainable, and testable software components that interact with massive-scale network security data.


Responsibilities:
Design and develop scalable, modular, and maintainable software solutions for our automation engine.
Focus on code structure and software design patterns to ensure maintainability and reliability.
Strong experience with software design principles, test-driven development (TDD), and CI/CD.
Work with large-scale distributed systems in a cloud-native environment (GCP, Kubernetes, microservices).
Collaborate with security researchers, data analysts, and product teams to turn innovative security concepts into production-grade solutions.

This is an exciting opportunity to blend data engineering and analysis in a pivotal full-stack role.

Youll be instrumental in ensuring our data's accuracy and availability, while also generating key insights to drive strategic decisions across Marketing, Product, R&D, Sales, and Customer Success. This role offers a unique chance to leverage both your technical skills and business understanding to extract actionable insights from complex data. Reporting directly to the CTO and collaborating with key stakeholders, youll have a significant impact on our data-driven culture.

Key Responsibilities

Own, maintain, and enhance data pipelines to guarantee data availability and quality.
Analyze and interpret complex data related to marketing, product performance, and user behavior.
Collaborate effectively with various teams to gather requirements, build data understanding, and communicate findings clearly.
Identify and resolve data discrepancies, defining the "source of truth" for crucial metrics.
Develop dashboards to monitor KPIs, assess performance against targets, and pinpoint areas for improvement.
Maintain user funnel dashboards, setting up alerts for anomalies and opportunities.
Implement proactive data monitoring and anomaly detection systems to ensure data accuracy and consistency.
Lead integrations with third-party platforms, optimizing data inputs for marketing tools and advertising platforms, potentially developing algorithms and triggers for targeted actions (e.g., engaging high-value, at-risk, or potential users).
Contribute to the development of our customer-facing Arena Analytics pipeline and data warehouse using tools like Fivetran, Snowflake, and ThoughtSpot.

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.