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-we are the worlds leading platform for global direct-to-consumer e-commerce, enabling brands and retailers to seamlessly sell worldwide, delivering localized experiences across markets.
Trusted by some of the worlds most recognized brands including Adidas, Alo Yoga, Logitech, Hugo Boss, Marc Jacobs, and Victorias Secret, we operate on a massive global scale through dynamic teams across North America, EMEA, and APAC.
Our technology-based end-to-end solution combines advanced localization capabilities, streamlined global operations and extensive big-data analytics, covering everything merchants need to scale worldwide. Were a fast-moving, highly collaborative company where innovation, creativity, ownership, and impact are part of everyday work.
Responsibilities:
Record daily financial transactions including sales, purchases, receipts, and payments
Maintain accurate ledgers and reconcile bank, credit card, and other financial accounts
Maintain proper documentation and filing systems for financial records.

Were looking for a sharp, hands-on Assistant Controller to join our global Finance team and play a key role in the financial backbone of a fast-growing, publicly traded company. At our company we actively embrace AI, so youll have the freedom to put it to work and help shape how our finance team uses it. If youre a passionate finance professional detail-oriented and driven to make an impact in a dynamic and growing organization wed love to hear from you.
Responsibilities:
Prepare statutory financial statements in accordance with US GAAP and local GAAP, working closely with external auditors and tax advisors
Take full ownership of the monthly and quarterly closing processes across multiple entities around the globe
Support and provide professional guidance to the bookkeeping team in day-to-day activities to ensure accurate and reliable financial records
Own the accounting and financial aspects of our companys entities around the globe, partnering with our finance teams across regions to ensure accurate, timely, and compliant reporting
Partner with cross-functional stakeholders such as Tax team, Legal, AP, Payments, Data, providing valuable financial and accounting insights
Assist in the implementation of reporting enhancements, regulation requirements, internal controls, and ad hoc projects
Leverage AI tools to improve and automate tasks, accelerating analysis, and sharpening accuracy across the close and reporting cycle.

We're looking for a full-cycle SDR to drive growth across our product suite. You'll own the entire sales motion - from the first cold call to close - as you upsell and cross-sell the company Convert plan and Reviewers.com to Shopify merchants.

This isn't a traditional lead-gen SDR role. You'll be the direct link between our merchants and our Product and Marketing teams, turning every call into an opportunity - whether that's a merchant upgrading their plan, one who churned telling us why, or a new merchant discovering Reviewers.com for the first time.

If you're a self-starter who loves to sell, enjoys owning a process end to end, and is comfortable digging into data to sharpen your approach, we'd love to meet you.
As a Full Cycle SDR at our company, you will:
Cold call Shopify merchants to upsell and cross-sell the Convert plan and Reviewers.com.
Call merchants who uninstalled the app or haven't yet selected a plan to understand why and gather feedback.
Run demo calls for Reviewers.com, showcasing its value to prospective merchants and helping them create their first campaign.
Synthesize merchant feedback and share clear, actionable insights with our Product and Marketing teams.
Analyze call and pipeline data to identify trends, spot opportunities, and continuously improve conversion.
Run the day-to-day operations of the sales effort, including pipeline management, tracking, and reporting.
Sunday: OFF
Monday: 10:00 - 19:00 in office in Ramat Gan
Tuesday: 14:00 - 23:00 work from home
Wednesday: 14:00 - 23:00 work from home
Thursday: 10:00 - 19:00 in office in Ramat Gan
Friday: 9:00 - 18:00 work from home

Were looking for a skilled Applicative SQL Server DBA with a strong background in system design, SQL Server development, and a deep understanding of data architecture.
This position is a key role within our companys Data Department, which supports critical business decisions and manages complex financial processes - including reporting for NASDAQ compliance.
Responsibilities:
Design, develop, and maintain complex financial reporting solutions (including advanced SQL queries).
Investigate and troubleshoot data issues, validate results, and deliver high-quality ad-hoc reports and analyses.
Develop and maintain data pipelines that load data from external, heterogeneous sources using PowerShell and SQL scripts.
Support the migration of complex stored procedures and data processes from SQL Server to Snowflake.

We are seeking a dynamic Field Service Engineer to join our team at our company, playing a critical role in advancing our renewable energy solutions. As a Field Service Engineer, you will contribute significantly to the future of various renewable energy products and solutions, serving as an interface between our customers and our company.


Ideal Candidate:
The ideal candidate will have a background as a practical Electrical Engineer or Electrical Engineer with a valid electrical license and comprehensive understanding of AC/DC, Low/Medium Voltage systems, networking and system controls. Proficiency in both Hebrew and English languages at a minimum of C1 level is required. The role will require on-call duty and the ability to oversee critical customer situations. Experience with Battery Storage solutions is highly beneficial, and a valid driving license is essential due to frequent travel requirements.


Responsibilities:
Serve as the primary interface between customers and our company, taking ownership of dispatched customer issues across various renewable energy solutions.
Provide comprehensive service and customer support during field visits or dispatches, running diagnosis on errors or technical problems.
Deliver on-site installation, repair, maintenance, testing tasks, upgrades, or rework activities for diverse renewable energy products.
Provide remote support to clients as needed.
Leading projects during commissioning and site acceptance services for various renewable energy solutions.
Adhere to operational procedures, processes, and practices consistently, ensuring compliance.
Follow applicable health and safety instructions and regulations for various renewable energy installations and services.
Maintain updated documentation, work instructions, and processes for existing and upcoming service contracts and agreements, including reports creation.

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of the core functions at our company.
This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.
You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.
If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.
What You'll Do
Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.
Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.
Design and evolve our company's data models, creating a unified language across data coming from multiple integrations and systems.
Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.
Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.
Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.
Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.
Help define the foundations of our company's data function by evaluating tools, methodologies, and best practices that will scale with the company.
Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.
Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

We're looking for a multi-disciplinary security researcher to play a vital role in researching, planning, implementing, and maintaining security solutions for organizational adoption and usage of software in general, and AI-native software in particular, in collaboration with all product development departments.
What You'll Do
Investigating how software in general, and AI-powered tools (coding assistants, agents, LLM-integrated IDEs, etc.) are used inside organizations, and where they introduce risk: data leakage, prompt injection, supply chain exposure, malicious extensions, and so on.
Building a data-driven picture of real-world usage and adoption to prioritize what we protect against, using telemetry, surveys, and external research.
Designing detection and prevention approaches for these risks, and working with engineering, product, and data teams to ship them in our product.
Auditing implementations against the threat models you develop and iterate.

As an AI Engineer at our company, you will own the intelligent decision-making pipelines that turn complex workspace telemetry into autonomous security actions. You will design, build, and deploy the autonomous reasoning workflows and advanced data classification systems that drive our company's preventive operating model. Your focus will be on creating resilient, production-grade AI systems capable of deep policy comprehension, real-time prevention at the point of adoption, and autonomous remediation of existing risks.
This is a ground-floor opportunity to shape the AI strategy of a fast-growing cybersecurity company alongside a lean, elite team of builders.
WHAT YOULL DO
End-to-End Ownership: Own our AI capabilities entirely from initial research, architectural design, and prototyping, through to production deployment, optimization, and continuous monitoring.
Design & Build Agentic Workflows: Architect multi-step AI agents capable of autonomously investigating workspace risks, interpreting complex enterprise policies, and taking precise remediation actions.
Integrate Multi-Faceted ML: Bring innovation and creative thinking to our core engine. Implement diverse ML models across our entire research and product pipeline-utilizing clustering, text extraction, document analysis, and tabular data classification.
Ship Production-Grade AI: Build high-throughput, resilient, and fault-tolerant production code. You will ensure our AI pipelines and agentic workflows are highly predictable, deeply observable, and built to scale under enterprise-grade loads.
Implement Guardrails & Evaluation: Build continuous evaluation frameworks to benchmark agent accuracy, mitigate hallucinations, and enforce strict data security/privacy guardrails.