לוח משרות דרושים

We're in search of an exceptional hands-on Data Scientist who can bridge data infrastructure, fraud analytics, and machine learning to enhance our fraud detection capabilities. This role requires someone who can drive projects from ideation to implementation, leading these efforts while thinking strategically about how we detect and prevent fraud at scale. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.
Your Arena:
Develop and enhance fraud detection models from concept to production, focusing on data normalization, network analysis, and risk scoring.
Take ownership to identify, analyze, and implement solutions for fraud patterns and behavioral anomalies.
Design, build and maintain data science pipelines and fraud intelligence systems to improve detection accuracy.
Collaborate with product, engineering, and risk teams to implement fraud prevention strategies.
Own projects end-to-end - balancing short-term wins with long-term strategy.

Required Senior Backend Engineer
Description
This is not your typical engineering role.
If you're looking to pick up tickets, follow specs, and write clean services- this isnt for you.
But if you care about building systems that think, if you use AI to move faster than everyone else, and if you want real ownership over complex, high-scale problems - keep reading.
What we're actually building:
Were building systems that dont just process data, they make decisions.
Real-time, high-stakes, at scale.
Fraud isnt static. It evolves all the time so our systems need to evolve faster.
That means combining backend architecture, data, and AI into something smarter than traditional SaaS.
What youll actually do:
Design and build the core systems behind real-time fraud detection
Work on everything from ingestion pipelines to decision engines
Own what you build - from idea to production to iteration
Deal with scale, edge cases, failures, and ambiguity (a lot of it)
Use AI as part of your daily workflow - not as a gimmick, but as leverage
Help figure out better ways to build software in this new era
What youll get here:
Real ownership (not ownership in slides)
Hard problems with real impact
A team that moves fast and expects you to keep up
Freedom to rethink how things should be built - not just maintain what exists
A chance to become a significantly stronger engineer by working differently
Stack (for context, not as a checklist):
Node.js / TypeScript
Distributed, event-driven architecture
Kafka
AWS
MongoDB + Postgres
Containers (Docker, Kubernetes / ECS)
If you want to build, lead, and rethink how engineering works - we should talk.
Super-competitive compensation for those who fit!

We're in search of an experienced and skilled GraphDB Expertise to join our growing data team. As part of our data team, you'll be at the forefront of crafting a groundbreaking solution that leverages cutting-edge technology to combat fraud. The ideal candidate will have a strong background in designing and implementing large-scale data solutions, with the potential to grow into a leadership role. This position requires a deep understanding of modern data architectures, cloud technologies, and the ability to drive technical initiatives that align with business objectives.
Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.
Your Arena:
Design, develop, and maintain scalable, robust data pipelines and ETL processes
Architect and implement complex data models across various storage solutions
Collaborate with R&D teams, data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality solutions
Ensure data quality, consistency, security, and compliance across all data systems
Play a key role in defining and implementing data strategies that drive business value
Contribute to the continuous improvement of our data architecture and processes
Champion and implement data engineering best practices across the R&D organization, serving as a technical expert and go-to resource for data-related questions and challenges
Participate in and sometimes lead code reviews to maintain high coding standards
Troubleshoot and resolve complex data-related issues in production environments
Evaluate and recommend new technologies and methodologies to improve our data infrastructure.

The GSD Team Member will be part of the Global Service Desk, handling and resolving support tickets and other IT-related issues and requests raised by our employees and outsourced personnel. The member will also perform ongoing IT support tasks and preserve a strong commitment to high-quality customer service and a solid work ethic.

The candidate will have sufficient knowledge to act as both a Tier 1 and Tier 2 support agent, a role that requires an experienced technologist with a proven track record of hands-on experience in Networking, Systems, and Security. A high level of technical orientation is a must.


What will you do?
Provide technical support via email, phone, and in person (hands-on), while adhering to and maintaining SLAs set by IT Management.
Perform onboarding of new employees, as well as off-boarding of exiting employees.
Maintain and manage all IT assets in IL.
Work with senior-level IT administrators to determine and resolve high-level problems.

we are looking for a Senior Regulatory Affairs Specialist Medical device.
The Senior RA specialistwill be responsible for leading global market expansion and new product introductions for Class I, Class II (US) and Class IIa (EU) medical devices. Responsibilities include planning and executing regulatory submissions for the US, EU, and other international markets, creating and maintaining technical files, managing complaints, overseeing change activities, and ensuring post market compliance. The role collaborates with cross functional teams - including QA, R&D, Clinical, Manufacturing, Operations, Marketing, and Commercial - to ensure compliant efficient, and timely market access throughout the product lifecycle, including sustained compliance.
Responsibilities:
Market Expansion & Global Regulatory Registrations:
Prepare and maintain global regulatory submissions (e.g., India, Australia, Singapore, Mexico) and author full submission packages. (e.g., EU MDR Annex II/III TD, US 510(k), ANVISA, SFDA, NMPA).
Monitor regulatory changes and ensure sustained compliance across all markets, including labeling, UDI, and post-market updates.
Conduct jurisdiction -specific impact assessment for product changes and manage global propagation of design, labeling and UDI updates.
Collaborate with R&D, Operations, Marketing, and product teams throughout new product development and commercialization to ensure regulatory alignment
Review technical documentation and ensure compliance across the full product lifecycle
Serve as the QA/RA point of contact for cross-functional programs and regulatory-related initiatives.
Maintain existing registrations, manage renewals and variations, and oversee global portfolio compliance.
Develop and execute global regulatory strategies for new market entry (US 510(k), EU MDR, Canada MDL, LATAM, APAC, MEA), including interpret country-specific requirements, identification of testing and labeling needs, and creation of submission roadmaps.
Lead pre-submission meetings and manage interactions with health authorities and notified bodies.
Ensure compliance with ISO 13485, 21 CFR 820, EU MDR, and applicable country regulations.

We are seeking a highly experienced and visionary Information Security Group Leader. As a part of this role, you will define strategy and roadmap, design and implement scalable controls, and ensure robust protection of enterprise systems, applications, and data across on‑prem, hybrid, and cloud environments.
This role requires deep technical expertise, risk-based decision-making, and the ability to drive security outcomes through cross-functional partnership with IT, R&D, and business stakeholders.
This role combines strategic leadership, hands-on technical expertise, and cross-functional collaboration to continuously reduce risk, improve detection and response, and enable the business to move fast while meeting security and compliance obligations.

What will you do?
Security Leadership & Operations
Manage and mentor a team of security professionals, set objectives, develop skills, and build a high-performing, service-oriented security function.
Lead risk assessments and threat modeling for infrastructure and applications, drive remediation plans and risk acceptance decisions.
Oversee security operations, monitoring, and incident response in partnership with internal teams and service providers.
Define KPIs/KRIs and report security posture to leadership; manage budget, tools lifecycle, and security vendor relationships.
Security Architecture & Design
Define and maintain enterprise security architecture across applications, network, endpoints, identity, and core infrastructure.

we are looking for a Global Planner.
The Global Planner & Floor Controller Student is responsible for planning, scheduling, and monitoring global production and material flows to ensure on-time delivery and operational efficiency. They coordinate between production sites, logistics, procurement, and warehousing to balance capacity, manage constraints, and maintain execution visibility. The role drives floor control activities, tracks work orders, and ensures alignment between planning and real-time factory performance.
Location: Kiryat Gat
Key Responsibilities:
Plan and oversee raw material (RM) requirements in alignment with production plans and forecasts, issue PR, and follow up on the supply plan.
Ensure material availability and timely supply to support production schedules
Collaborate with procurement, logistics, and production teams to ensure smooth and efficient material flow
Maintain and update production-related data, including inventory levels, shortages, and delivery schedules
Analyze data across two ERP systems to identify gaps, discrepancies, and improvement opportunities
Manage raw materials (RM) from receipt and quality release through transfer to the tolling site and final consumption
Ensure alignment and accuracy between internal records and toller stock levels, managed across separate ERP systems
Identify discrepancies, conduct root cause analysis, and drive resolution of issues

Required Engineering Squad Lead
Description
This is not your typical leadership role.
If youre looking to manage tasks, run standups, and stay above the code - this position probable isnt for you.
But if you want to build systems, shape engineers, and redefine how teams operate in the age of AI - keep reading.
What were actually building:
Were building systems that dont just process data - they make decisions.
Real-time. At scale. Under uncertainty.
Fraud evolves fast.
So our systems, and our engineers, need to evolve faster.
This is where you come in.
What youll actually do:
Youll lead a team - but youll also build with them
Youll make architectural decisions that directly impact how the system scales and behaves
Youll own critical parts of the system - not just people
Youll turn ambiguity into direction (for both product and engineering)
Youll raise the bar: in code quality, system design, and how the team thinks
Youll embed AI into how the team works - not as a tool, but as leverage
Youll help strong engineers become exceptional

As a Senior Backend Engineer, you will be a key contributor in designing, implementing, and optimizing our Backend Engine and application infrastructure. You will collaborate with other team members to ensure our applications are cloud-ready, scalable, and secure - enabling us to stay at the forefront of our industry. You will get a chance to work on a variety of technologies, in a dynamic and fast paced environment.

Responsibilities
Collaborate with cross-functional teams to design, develop, and deploy robust and scalable features for our cutting-edge data analytics platform.
Architect, implement, and optimize backend solutions using Python to ensure seamless data processing, storage, and retrieval.
Collaborate closely with product managers, data scientists, tech-leads to understand requirements, provide technical insights, and deliver high-quality solutions.
Continuously enhance the performance, scalability, and security of the platform and backend services through code reviews, testing, and optimization.
Stay up-to-date with industry trends and emerging technologies; proactively recommending and implementing improvements to enhance the platforms capabilities.

We are looking for a Senior Cloud & Indirect Procurement Buyer to join our Global Procurement team for a temporary position (maternity leave replacement). This role will be responsible for end‑to‑end sourcing and vendor management for key indirect spend areas, with a primary focus on:

Cloud Delivery (colocation, transit, cloud services, SaaS)
Marketing (digital platforms, events, agencies, consultants)
HR & Professional Services
The role requires a hands‑on, independent buyer who can support multiple global stakeholders while driving cost optimization, service continuity, and commercial excellence.


What will you do?
Lead vendor selection, sourcing, and ongoing management of suppliers, subcontractors, and service providers across Cloud Delivery, Marketing, HR, R&D, and Support functions.
Establish and maintain strong, long‑term partnerships with key vendors in line with our global procurement strategy, ensuring service continuity and commercial competitiveness.
Act as a trusted procurement partner to internal stakeholders by providing timely support and delivering measurable value through cost optimization and spend control.
Analyze procurement requirements versus market trends, defining sourcing strategies and enforcing budget and cost‑control objectives.
Execute sourcing activities end‑to‑end, including RFQ/RFP processes, quotation analysis, negotiations, and supplier selection.
Conduct commercial benchmarking and maintain strong market awareness of alternative vendors, platforms, and service models.
Support contract review, evaluation, and lifecycle management in coordination with Legal and business stakeholders.
Deliver a high level of service to internal customers while consistently meeting or exceeding procurement commercial targets.

As a Senior DevOps Engineer, you will be a key contributor in designing, implementing, and optimizing our cloud-native DevOps infrastructure. You will collaborate with other team members to ensure our applications are cloud-ready, scalable, and secure, enabling us to stay at the forefront of our industry.

Responsibilities
Cloud-Native Strategy: Develop and implement a cloud-native strategy, leveraging AWS, serverless, and other cloud-native technologies, to enhance application resilience and scalability.
Container Orchestration: Lead efforts to manage container orchestration platforms (e.g., Docker) and establish best practices for containerization and microservices.
CI/CD Pipeline Optimization: Enhance and automate our CI/CD pipelines to enable rapid and reliable software delivery, incorporating industry best practices and tools.
Infrastructure as Code (IAC): Drive the adoption of IAC principles and tools (e.g., Terraform, Ansible) to manage infrastructure provisioning, monitoring, and security.
Collaboration: Collaborate closely with software engineers to solve complex problems and drive continuous improvement.

We are looking for a Head of Data Analytics to build and lead the companys data platform and data strategy. The Head of Data will own our entire data platform, research, and data strategy.
This includes building the data infrastructure that powers the company, establishing reliable company-wide metrics, enabling data-driven decision making, and turning our dispute and payments data into a long-term product advantage.
This is a foundational leadership role responsible for making data a core capability across the organization.
The Head of Data Analytics will work closely with Product, Engineering, Operations, and Leadership to ensure data becomes a central part of how the company builds products and runs the business.
Your Arena:
Data Platform and Architecture - Design and lead the development of our modern data infrastructure:
Building scalable data pipelines across product, payments, disputes, and internal systems
Developing a centralized data warehouse as the companys single source of truth
Ensuring data quality, reliability, and observability
Establishing data governance and best practices
Company Metrics and Decision Intelligence - Define and standardize the core metrics used across the company:
Establishing a consistent metrics framework across product, revenue, and operations
Building dashboards used by leadership and operational teams
Ensuring reliable and accessible reporting across the organization
Supporting data-driven decision making at the leadership level
Product Data and Insights - Partner with Product and Engineering to leverage our unique dispute and payment data:
Identifying patterns and insights across disputes and recovery performance
Enabling data-driven product development
Supporting predictive capabilities and automation in dispute management
Helping build product features powered by data insights
Operational Intelligence - Provide visibility and insights into dispute operations and business performance:
Building operational analytics dashboards
Supporting forecasting and capacity planning
Identifying automation opportunities
Improving operational performance through data insights
Building the Data Organization - Build and lead the companys data team:
Hiring and managing data engineers, analytics engineers, and analysts
Establishing strong data culture and best practices
Enabling teams across the company to use data effectively
Ensuring data privacy, security, and governance standards
What Success Looks Like - Within the first 12-18 months:
We operate from a trusted company-wide data platform
Leadership and teams rely on consistent and reliable metrics
Product teams leverage dispute data to build data-powered features
Operational performance becomes clearly measurable and optimized
A strong Data organization is established and growing.