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As a Senior Big Data Engineer, working within Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.
RESPONSIBILITIES:

Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure.
Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.

We are seeking a highly skilled and motivated Payment Operations Specialist with a strong technical and data-oriented background to join our Payments team. The ideal candidate will bring hands-on experience in payment flows, system behavior, and integrations, with the ability to investigate issues, analyze data, and support daily operations in a fast-paced environment.
Key Responsibilities:
Support daily operations of payment products, ensuring smooth functionality and optimal performance.
Investigate and resolve payment-related issues across gateways, acquirers, and payment methods.
Analyze payment data to identify trends, anomalies, and improvement opportunities (e.g., declines, approval rates).
Collaborate with cross-functional teams (Product, R&D, Finance, NOC) to resolve escalations and improve processes.
Work closely with external partners (PSPs, acquirers and alternative payment providers) to ensure seamless operations and efficient issue resolution.
Support and monitor payment integrations, including API-based flows, ensuring correct implementation and ongoing stability.
Assist in managing payment flows, including authorization, capture, refunds, and 3DS authentication.
Contribute to process improvements and automation initiatives to enhance efficiency.

We are looking an experienced Payroll Specialist to join our payroll team in Israel.
The Payroll Specialist will be working with the Payroll Controller to prepare payroll in Israel.
Responsibilities:
Taking part in preparation for 600+ employees in Israel, supporting end-to-end payroll, including reporting and payment of social benefits, under the management of the Payroll Controller
Handling onboarding and termination of employees
Taking care of employee payroll deductions/reimbursement and communication with pension insurance agents
Responding to employee payroll inquiries and providing exceptional customer service in Hebrew and English
Collaborating with HR and other departments to ensure accurate and consistent payroll practices
Performing monthly payroll reports analyses
Responsible for employee attendance and relevant reporting.

Were looking for a Security Architect to join our Information Security department.
You will work closely with the Product, R&D, DevOps and IT teams and serve as the focal point for identifying and resolving complex security challenges and owning the secure design of internal applications and cloud infrastructure from the ground up.
This is a hands-on Architect position that ensures our products and work environment adhere to the stringent security.
Responsibilities
Own security architecture reviews for internal applications, new features, and 3rd party integrations
Lead threat modeling sessions with R&D and Product teams throughout the SDLC
Define and maintain security design standards across authentication, authorization, networking, and application layers
Be the go-to expert for cloud security on AWS, including IAM, network segmentation, and workload protection
Embed security gates into existing agile and DevOps workflows without killing velocity
Work closely with DevOps and IT on secure-by-default cloud and corporate environment configurations
Lead risk-based remediation programs across architecture findings
Advise the CISO on evolving threats relevant to our stack and business model
Identify and propose capability improvements across the security architecture.

Were looking for a Senior Backend Engineer to join core engineering group and build the systems behind one of the worlds largest location-analytics platforms.

In this role, youll work on backend services that process and serve billions of data points, power ML-driven insights, and operate at high scale and high reliability. If youre motivated by hard technical challenges, modern infrastructure, and collaborating with strong engineers, this role is built for you.





RESPONSIBILITIES:

Design, build, and evolve large-scale, distributed backend systems that power data and AI products
Own services end-to-end - from architecture and design to production, monitoring, and continuous improvement
Drive performance, scalability, and reliability, using data and metrics to guide decisions
Build infrastructure and data pipelines that support machine-learning, analytics, and real-time use cases
Partner closely with Product, Data Science, and Analytics to turn complex data into impactful product features
Raise the engineering bar through code reviews, design discussions, and technical mentorship

We are looking for a Software Engineer to join our core Algorithm team as an dedicated data-core / platform engineer. You will support the algorithm engineers developing detection algorithms to design and build the infrastructure they run on: the object-detection (OD) pipeline, its orchestration and deployment, its data and model catalog, and the benchmark and labeling systems that drive model improvement. This is a high-autonomy role with real, end-to-end ownership of production systems from day one.

The technologies listed in this description are examples of our day-to-day - not a rigid checklist. We care far more about how you think, how you plan, how you debug, and how fast you learn than about which specific tools you have already used. If you love the craft of making things work and want to go deep, you can learn the rest here.

In the AI era, being a strong engineer means more than writing great code. It means operating as an architect who directs AI agents - designing the solution with clarity, then guiding them to execute it at a level and speed that wasn't possible before. We are building a culture where this is the norm, and we're looking for someone who is excited to work and grow in that direction.



What You'll Do

Take on hard, open-ended infrastructure challenges and make them work - designing, building, decoupling, and hardening the systems behind our object-detection pipeline, from data and model management to benchmarking, so everything runs reliably at scale.
Architect and build the backbone of the OD pipeline - orchestration (Airflow on Kubernetes), data plumbing (S3 / PostGIS / SQS), CI/CD, and deployment across multiple environments - designing clean interfaces and data contracts the algorithm team can build on with confidence.
Debug across the whole stack, wherever the problem leads - a stuck DAG, a flaky pipeline stage, a slow query, a GPU/driver mismatch - and turn one-off firefights into lasting fixes and better observability.
Own the data and model lifecycle: versioned datasets and model weights with clear provenance, and the labeling → export → retraining loop that keeps the models improving.
Learn fast and go deep. Pick up new tools and new layers of the stack as the work requires, and raise the team's engineering and operational standards as you go.
Partner closely with algorithm engineers and the data-collection / labeling operations team to turn research prototypes into robust, scalable production systems.
Integrate AI tools into your workflow and grow into operating as an architect who directs AI agents - designing the solution, then guiding them to build it.

We are looking for a Senior Demand Generation Manager (B2B) to join our Digital Marketing team. In this role, you will own and scale our global digital demand engine, driving awareness, engagement, and pipeline growth across key markets.
You will lead performance marketing across multiple channels, working closely with RevOps, Product Marketing, and Sales to deliver measurable business impact. This is a hands-on role for someone who combines strategic thinking with strong execution and is excited to scale a global B2B demand engine targeting enterprise clients.
If you are passionate about growth marketing, data-driven decision making, and working in a fast-paced, collaborative environment, wed love to meet you.
Responsibilities:
Own the B2B demand generation strategy and quarterly planning, aligned to revenue targets and ICP priorities.
Build, manage, and optimize multi-channel campaigns across paid search, paid social, SEO/GEO, email nurture, and ABM programs.
Own end-to-end funnel performance, from first touch to pipeline, with a focus on conversion rates, lead quality, and revenue impact.
Partner closely with RevOps to define and improve MQL/SQL criteria, SLAs, and lead routing processes.
Own campaign measurement and reporting, including dashboards, tracking, and attribution, and generate actionable insights to improve performance.
Run a structured testing program across creative, targeting, landing pages, and nurture journeys.
Collaborate with Marketing, Product Marketing, Design, and Sales to develop high-performing ads, landing pages, and lifecycle content.
Work with external agencies and vendors as needed to scale execution.
Stay up to date with emerging digital trends, tools, and AI to continuously improve performance and scale.

Were are looking for a Senior Checkout & Payments Product Manager to join our growing product team. In this role, you will lead shopper checkout experience and payments-related products and services that sit at the heart of our value proposition - converting international shoppers and enabling merchants to grow cross-border revenue.
You will develop key product initiatives across checkout and payments, partner closely with engineering, design, professional services, operations, and commercial teams, and guide solutions from ideation through launch and ongoing optimization - balancing conversion, localisation, compliance, and business growth.
Description:
End-to-end shopper checkout experience - from cart entry through address, shipping selection, payment presentation, and order confirmation - optimising for conversion, clarity, and trust
Checkout & Payments product initiatives, conversion, rollouts and merchant adoption
Checkout UX initiatives that reduce friction: address forms, validation, error handling, mobile layouts, accessibility, and trust surfaces
Merchant-configurable and brandable checkout capabilities (layout, theming, fields, payment-method presentation) so enterprise customization becomes productized rather than one-off engineering
Partnership with enterprise merchants, Professional Services, and GTM to turn high-touch requirements into reusable checkout capabilities
Localization of the checkout experience and payment methods across markets - including language, local UX patterns, and market-specific address and payment presentation
Strong knowledge of online payment processing systems, technologies, and industry standards (including PCI-DSS, GDPR, and tokenization), and familiarity with credit cards, digital wallets, bank transfers, and emerging payment trends
AI driven product requirements, detailed specifications, and AI agent based delivery with engineering - from ideation to launch, including UAT and iteration based on customer feedback and data
Checkout and payments KPIs (conversion, step drop-off, time-to-complete, error rates, payment performance) and use of experimentation / funnel analytics to priorities the roadmap

As a Senior DevOps Engineer, you will be a key member of a high-performing team focused on building resilient, highly available, and production infrastructures. Your role is to bridge the gap between development and operations by applying software engineering principles to automate, scale, and optimize our cloud ecosystem.



Utilizing Terraform for lifecycle management and Amazon EKS for orchestration, you will build and scale robust, self-healing environments.



We are looking for an engineer who doesn't just use tools, but understands the Linux foundation they run on. You will work to ensure our systems are transparent, measurable, and elastic through reliable GitOps practices and full-stack observability. You will also implement and maintain essential DevSecOps tools to keep our environments secure.





Key Responsibilities

Linux Systems Engineering: Maintain a deep-dive understanding of Linux internals to identify bottlenecks and optimize configurations.
Container Orchestration: Manage production-grade Amazon EKS clusters and implement modern autoscaling solutions like Karpenter.
Full-Stack Observability: Own the migration and maintenance of the Grafana-based observability suite (Grafana, Tempo, Mimir, Loki).
GitOps & IaC: Lead GitOps initiatives with ArgoCD and architect modular Terraform or Crossplane codebases.
Python Tooling: Develop custom tools and AI agents using Python to automate research and development cycles.
Vulnerability Management: Integrate automated image scanning and Software Composition Analysis (SCA) tools into the SDLC.

Required Tax Manager- U.S
Israel, Petah Tikva
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.
You will become a key member of our Tax Department, responsible for managing U.S. tax compliance and planning. In this role, you will oversee federal and state income tax reporting, sales and use tax compliance, and other U.S. tax matters. The U.S. Tax Manager will face complex challenges and will have significant opportunities for learning and professional growth.
Responsibilities:
Take ownership of U.S. tax compliance, planning, and reporting, including federal and state income taxes.
Manage U.S. sales and use tax compliance across all operational jurisdictions, ensuring accurate reporting and timely filing.
Lead and coordinate preparation of U.S. federal and state tax returns, including review of supporting schedules and documentation.
Oversee tax accounting for U.S. income taxes (ASC 740), including identifying and documenting uncertain tax positions (UTPs) and tax contingencies (FIN 48 and ASC 450).
Advise on U.S. intercompany transactions, transfer pricing documentation, and I/C agreements as they relate to U.S. tax obligations.
Support U.S.-specific expansion projects and transactions from a tax perspective.
Develop and communicate policies to ensure adequate controls and documentation for U.S. direct and indirect taxes.
Evaluate and implement technology solutions to improve U.S. tax compliance and reporting.
Manage U.S. tax audits, working with external advisors and tax authorities.
Review commercial agreements with customers, vendors, and partners to identify U.S. tax implications.
Research and resolve complex U.S. tax issues, liaising with internal teams and external advisors.
Monitor changes in U.S. federal and state tax laws and regulations to ensure compliance.

Develop and maintain data processing pipelines.
Collaborate with data scientists to optimize data models.
Implement scalable algorithms for data analysis.
Ensure high performance and reliability of data systems.
Participate in code reviews and knowledge sharing sessions.

We are looking for a Staff Algorithm Engineer to join our core Algorithm team - a high-autonomy group responsible for the algorithm and ML systems at the heart of 4M's mapping engine. This is a role for engineers who think in systems, bring cutting-edge computer vision and algorithmic thinking to ambitious real-world challenges, and own problems end-to-end with an entrepreneurial drive.

In the AI era, being a strong engineer means more than writing great code. It means operating as both an architect and a team lead - designing the solution with clarity, then guiding AI agents to execute it at a level and speed that wasn't possible before. We are building a culture where this is the norm, and we're looking for someone who is excited to work and grow in that direction.

You will work across computer vision and algorithm disciplines - researching solutions, designing experiments, and delivering production-grade implementations - while collaborating closely with data engineering and product teams.





What You'll Do



Research and implement novel computer vision and algorithmic solutions for challenging real-world problems - spanning perception, learning, optimization, and graph-based reasoning.
Own algorithm quality end-to-end: design experiments, evaluate results, and drive iterations until production reliability targets are met.
Work across disciplines - sharing models, methods, and insights with algorithm, data engineering, and product teams.
Monitor production model health proactively; identify degradation early and lead remediation efforts.
Integrate AI tools into your workflow and grow into the role of architect and team lead - designing the solution, then directing agents to build it.
Raise the bar on the team's technical culture through code reviews, knowledge-sharing, and rigorous algorithmic thinking.

Were looking for an exceptional Senior People Partner to become a key force multiplier within our HR team.



This is not a classic HRBP role, nor a traditional HR Operations role. Were looking for a true builder - someone who loves creating structure from scratch, improving the way things work, turning ideas into reality, and helping evolve a thoughtful, high-performing organization.



Youll work closely with the HR team and key stakeholders on company-wide initiatives, OD processes, manager enablement, and strengthening the HR infrastructure of a growing global company.



This role is ideal for someone who thrives in fast-paced startup environments, combines strategic thinking with strong execution, navigates people dynamics with maturity, and naturally leverages modern AI tools to improve productivity and decision-making.



Youll have significant ownership, autonomy, and impact on how the company grows.





What youll do:





Drive and lead HR programs & infrastructure

Build company-wide HR programs, processes, and frameworks from the ground up
Support core HR cycles, including performance reviews, compensation reviews, engagement surveys, and calibration processes
Design and lead learning experiences, workshops, and development initiatives across the company
Improve and optimize workflows, systems, policies, and operational infrastructure
Drive HR analytics and reporting to support business decisions




Partner with managers and teams

Act as a trusted partner to both managers and employees, supporting them through people-related challenges, talent development, and organizational change
Help strengthen communication, collaboration, and employee experience across the company




Work as part of a collaborative and impact-driven HR team

Partner closely with the Head of HR and HR team on multiple initiatives
Independently lead projects from idea to execution
Bring structure, prioritization, and clarity to a fast-moving environment
Help evolve the HR function for the companys next stage

We are looking for a Global Vice President of Product to turn expertise, initiative, and bold thinking into real impact on the next generation of AI-driven financial crime detection.



If you combine strong product leadership and strategic thinking with the ability to translate company vision into a rigorous, committed product plan that drives real business growth, and if you are motivated by owning a global product organization end-to-end and building the engine behind a $100M+ ARR business, could be your next challenge.





Responsibilities:

Define, together with the leadership team and commit to a product roadmap that aligns with our long-term commercial objectives and company strategy.
Drive a culture of high-velocity execution. Partner deeply with R&D to bridge the gap between "the vision" and "the ship date," ensuring high-quality, on-time delivery.
Work hand-in-hand with Sales and GTM teams. You are responsible for ensuring strong product-market fit and that our roadmap directly translates into revenue and market share.
In a fast-moving, complex enterprise environment, you will drive what gets built, why, and when, balancing innovation with the needs of our global customer base.
Act as a strategic partner to our top-tier clients. You will engage directly with enterprise stakeholders to validate priorities and ensure our roadmap solves the industry's most pressing challenges.
Lead, mentor, and scale a world-class global product team, fostering a culture of accountability, data-driven decision-making, and user-centricity.

We are looking for a DevOps Engineer to turn expertise, initiative, and bold thinking into real impact on the next generation of AI-driven financial crime detection.



In this role, you will design and automate our cloud infrastructure and on-premises OpenShift environments - building the tools and processes that let our R&D team develop smoothly and rapidly, while helping maintain production stability through on-call support.



If you combine strong DevOps and infrastructure automation expertise with a passion for continuously improving tools and processes, and if you are motivated by keeping mission-critical systems fast, stable, and reliable for the world's leading financial institutions, could be your next challenge.



Responsibilities:

Continuously improve the tools and processes used by our R&D team to enhance productivity and innovation.
Design, implement, and automate our cloud infrastructure alongside on-premises OpenShift environments.
Provide our R&D and Production teams with robust, reliable tools to ensure smooth and quick workflows.
Research and explore new technologies and methodologies to continuously improve our development processes and overall product quality.
Participate in an on-call rotation, assisting lower tiers to mitigate issues and maintain system stability.