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We are looking for a Chargeback Analyst to join our Fraud and Payments team. In this role, you will become a domain expert in a growing team and a fast-changing environment. As a Chargeback Analyst, you will work with multiple payment providers and systems, analyze and respond to chargeback disputes, collaborate with different teams, and become a subject matter expert in chargeback and dispute handling and management. You will also play a key role in improving processes and driving operational excellence across the organization.
Responsibilities:
Investigate and analyze payment disputes across multiple payment providers
Review and represent chargebacks and retrieval requests
Build and maintain the operational chargeback data center
Collaborate with Fraud, Customer Service, Finance, and other cross-functional teams to provide winning case responses
Work on cross-team and cross-functional projects to improve operational efficiency
Create and optimize chargeback workflows and operational processes
Monitor performance according to card scheme programs and regulations.

Required Delivery Solution Engineer
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.
Responsibilities:
Lead technical discovery and solution-design workshops with merchant engineering, architecture, and business teams.
Understand the merchants existing e-commerce architecture, business requirements, operational processes, and technical constraints.
Define the most appropriate integration approach across supported platforms, APIs, order management systems, and fulfilment solutions.
Design end-to-end solutions, including system interactions, data flows, integration responsibilities, dependencies, and technical risks.
Translate business requirements into clear technical specifications and implementation plans.
Act as the technical owner throughout delivery, ensuring the agreed solution is implemented correctly and aligned with our best practices.
Guide merchants and partners through configuration, development, testing, launch readiness, and go-live.
Identify technical risks and complexity early, challenge non-scalable designs, and recommend practical alternatives.
Investigate complex integration issues by reviewing API payloads, logs, network traffic, system behaviour, and configuration.
Coordinate with Product and R&D when product changes, technical clarifications, or defect resolution are required.
Provide structured feedback to Product and R&D based on recurring merchant requirements and integration patterns.
Support internal teams through technical enablement, documentation, and knowledge sharing.

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.

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.

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.

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.

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.

This role is a Fixed-Term Contract - Maternity Leave Replacement, and it sits within our Native Performance team, reporting directly to the Director of Product, Amplify. The Native Performance team sits at the heart of Teads' advertiser offering. Our mission is to enable performance-focused advertisers to reach their audiences through high-quality native formats (including in-feed, in-article, and banner placements) on the open internet. We drive measurable outcomes by combining native formats with smart automation, AI-powered optimization, and campaign tooling through the Amplify platform.

Core Mission: Join us on a fixed-term basis (covering a maternity leave) to drive the development, optimization, and scaling of Amplify's native performance capabilities.
Team Alignment: Partner hand-in-hand with agile engineering squads, product designers, data scientists, and business stakeholders to turn ambitious ideas into seamless platform features.
Scope of Ownership: Take full ownership of the Native Performance feature roadmap-guiding features from initial discovery and scoping to shipping and post-launch optimization.
Impact Metric: Success in this role means maintaining pipeline velocity, shipping key AI and automation initiatives on schedule, and ensuring a seamless transition and continuous feature adoption across global commercial teams during the coverage period.
What will you do?

Strategy & Innovation
Orchestrate AI & Automation Features: Lead the development of smart, automated capabilities within Amplify, such as automated campaign creation, dynamic setup recommendations, and predictive performance alerts.
Analyze Market Trends: Conduct competitive analysis and track industry shifts within native and performance advertising to champion new feature opportunities.
Challenge the Status-Quo: Adopt our collaborative product mantra ("You build it, you run it, you monitor it"), bringing a pragmatic, solution-driven mindset to propose bold platform improvements.
Execution & Flawless Delivery
Own the Amplify Roadmap: Manage and prioritize the feature backlog, tracking milestones, dependencies, and delivery risks for the Native Performance agile squad.
Translate Needs into Specs: Write clear, concise product requirements, user stories, and functional specifications for our development teams.
Lead Agile Ceremonies: Direct sprint planning, review sessions, and blameless retrospectives, serving as a senior product voice within your agile squad.
Stakeholder Management & Collaboration
Drive Worldwide Feature Rollouts: Partner with product marketing and campaign management teams to ensure smooth, global rollouts of new features, tracking adoption and measuring incremental outcomes.
Align Cross-Functional Squads: Collaborate with Sales, Account Management, Data Science, and Marketing to build consensus and keep teams aligned around a unified product vision.

We're a leading force in the ad tech industry, revolutionizing how brands connect with their audiences. Our platform processes billions of ad impressions daily, generating massive datasets that drive our core business.

We thrive on innovation and seek a Senior Data Infra Engineer to help us build and scale the data infrastructure that powers our insights and analytics.
This is a unique opportunity to work with cutting-edge technologies and make a direct impact on our products.

What will you do?
As a Senior Data Infra Engineer, you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines. You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis. Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.

Your mission will be to:

Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS). This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.

We are looking for a Senior Data Scientist to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.

What will you do?
As a Senior Data Scientist, your mission will be to:

Improve existing algorithms & tools allowing to explore and analyze more and more data and provide accurate feedback on the Teads activities.
Develop new algorithms & new approaches to provide accurate predictions and drive new products by providing business insights.
Implement your algorithms and models end to end.
Collaborate with a variety of teams to develop services from design to production.
Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
Keep up to date with the latest Machine Learning technologies to make sure we always use the best class algorithms according to the context.
Shape how billions of people discover and enjoy premium content by improving ad relevance, quality, and efficiency across Teads global publisher network.

Were looking for a Sales Development Representative to build a strong sales pipeline of our ideal target clients, through effective outbound prospecting.

This role will report to the Team Manager of Sales Development.

So, what will you be doing all day?

Your role as part of the Sales Development Department means your daily responsibilities will include:

Conducting sales development best practices with cold calling, email, voicemails, and social media using enablement technology to connect with new prospects.
Utilizing prospecting and research tools to qualify accounts and create meeting opportunities with ideal personas.
Strategizing with team members to innovate and improve the overall sales development process.
Staying up to date with industry trends/market conditions to be expert in the industries you support.
Participate in weekly team training in order to continuously improve and upskill as an SDR.
For advanced SDR/BDR candidates, there may be an opportunity to be a closer on some of the smaller deals that you generate the original meeting for.

We are looking for a Senior Software Engineer to join our Team.

As a Software Developer in the B2C department, you will have the opportunity to design and build complete end-to-end features that directly impact our users.
This role involves working with modern technologies to create both scalable services and seamless user experiences.

Youll work in a dynamic, startup-like culture while enjoying the stability and benefits of a global tech company.



What You'll Be Doing

Design and build reliable, scalable, and highly available and AI ready product architectures
Deploy production-ready code daily using advanced CI/CD pipelines
Lead complex, cross-domain features from design through testing with full technical ownership
Leverage AI tools throughout the development lifecycle, from coding and testing to system design and technical decision-making
Ensure production systems run smoothly and reliably at all times
Shape team roadmap and influence product and technical direction in close collaboration with stakeholders
Make data-informed technical decisions using metrics, insights, and user feedback
Continuously explore and implement new technologies to keep our products innovative

We are looking for an Experienced Backend Engineer to join our Data Foundations team.

What Youll Do:
Dive into the heart of engineering core as a pivotal member of our team, dedicated to constructing the internal tools and services that are the cornerstone of our data-centric universe. Your role is at the intersection of innovation and collaboration, focusing on creating sophisticated solutions that streamline data versioning, enhance data processes, and facilitate seamless interactions across all data teams. In this team, you will be building the robust framework that enables all other teams to manage and leverage data with unprecedented efficiency and accuracy. Your contributions will not only improve our internal workflows but also amplify the impact of our data on client success.