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we are the worlds leading platform to enable and accelerate global, direct-to-consumer cross-border e-commerce growth. The chosen partner of hundreds of retailers and brands across the US, UK, Europe, and Asia, our company makes selling internationally as simple as selling domestically. With our company, retailers and brands can increase international traffic conversion and grow sales by offering customers in over 200 destinations worldwide a seamless, localized shopping experience.
As a BI Product Manager, you will play a pivotal role in shaping and evolving our Business Intelligence products. You will be responsible for defining the roadmap, building advanced data solutions, and empowering our merchants with actionable insights to drive smarter decisions across our cross-border e-commerce business.
*This role is temporary role for maternity leave with option
Key Responsibilities
Define and own the BI product roadmap, prioritizing features and improvements based on stakeholder needs, business goals, and market trends.
Partner with BI engineers, analysts, and developers to design and deliver scalable self service BI dashboards and reports that support strategic decision-making.
Gather requirements from internal and external stakeholders, translate them into clear product specifications, and manage the full lifecycle of BI features.
Leverage data visualization and analytics tools to monitor KPIs, and customer behavior, enabling business teams to act on insights.
Conduct research and competitive analysis to stay on top of BI trends.
Drive adoption of BI products by collaborating with business teams (solutions, sales, account management, operations, and support), ensuring value is delivered across the organization.

We are looking for an experienced Data & Data Integrity Support Engineer who will act as the first point of contact for any question raised by customers, as well as focus on monitoring data integrity and completeness across customer environments.
This is an opportunity to develop new and improved methodologies for data validation, monitoring dashboards, and automated reporting tools. Youll be part of a technical team solving complex issues, working with cutting-edge technology, and keeping our customers satisfied and informed. This position is based in Ramat Gan and we operate on a hybrid model (3 days at the office/2 days remote).
Lets get down to business
What youll do:
Respond to customer technical support requests via our ticketing system in a timely and professional manner.
Proactively monitor environments and identify potential issues before they become incidents.
Diagnose and resolve complex technical issues related to data integrity, application and infrastructure.
Break down undefined customer issues and escalate them clearly to R&D with supporting data (logs, tests, replications).
Document all customer interactions and solutions in the ticketing system with clarity, and contribute to internal knowledge base.
Collaborate with Product, R&D, and Operations teams to resolve customer issues effectively.
Participate in on-call/shift rotation and provide ad-hoc after-hours support as needed.

Were looking for a senior Data Scientist to lead into the next stage, utilizing our data assets for in-house business development, product development, and customer outreach.

You will work with large-scale data at the intersection of agronomy and commerce, designing and implementing algorithmic and machine learning solutions that power our data-driven platform. This will include predicting buying behaviors models, sales, and product recommendation models based on farmers' behavior, and combining this with relevant product recommendations. If youre passionate about turning complex data into real-world impact in agriculture, we are looking for you, a talented, detail-oriented person to join our team.

This role provides the opportunity to drive significant impact through scalable data solutions while working with a collaborative, growth-focused team. You'll work with cutting-edge AWS technologies, solve complex data challenges, and play a key role in shaping our data platform's future. You'll learn unique graph relations models and valuable graph database experience.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are seeking a highly motivated and skilled Release Engineer to join our AIOps group. In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how you’ll make an impact:
* Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
* Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
* Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
* Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
* Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
* Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
* Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
* Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.

Entain is one of the world's largest sports betting and gaming groups operating in the online sector. We are establishing a new Performance Marketing Growth Group in Tel Aviv to serve Entain’s Performance Marketing business units. We are seeking a Solutions Manager who will be the go-to expert for problem-solving production incidents. This role is critical for ensuring accurate tracking, reporting, and attribution across all digital marketing channels. The ideal candidate combines strong analytical skills with hands-on experience in marketing platforms, tracking systems, and data analysis, ensuring that our campaigns are measured accurately and efficiently while risk is being managed.

Responsibilities:

* Take full ownership of marketing performance data, ensuring its accuracy, integrity, and reliability.
* Lead problem-solving for any production incidents affecting paid media performance data, from detection to root cause analysis to resolution.
* Analyze performance data to identify trends, anomalies, and user behavior patterns that impact marketing attribution and campaign effectiveness.
* Maintain and optimize Marketing Platforms, including GA4, CAPI, GTM, and integrations with Google Ads, Meta, and programmatic platforms.
* Understand the difference between client-side and backend events, ensuring proper measurement and alignment across systems.
* Collaborate closely with marketing, analytics, operations, and Developers teams to ensure seamless execution and accurate reporting/production fix.
* Lead cross-functional projects related to data tracking, attribution, and analytics, ensuring timely delivery and process optimization.
* Provide actionable insights and regular reports to senior leadership on data quality and operational improvements.
* Document processes, best practices, and incident resolutions to build a knowledge base for continuous improvement.