לוח משרות דרושים

We are currently looking for a Control & Materiel planner to join our team and play a pivotal role in shaping the future of our company.
The Materiel & Control planner will report directly to the Chief Operations Officer.
Your key responsibilities will include:
Full responsibility for material planning and forecasting.
Managing the daily activities of the Turnkey manufacturer.
Synchronizing production activities to ensure on-time order fulfillment.
Running MRP processes, performing material simulations, and managing shortages - including expediting, postponing, or canceling orders as needed.
Analyzing and controlling inventory levels and trends, including inventory turnover rates, slow-moving or idle stock, and overall material utilization.
Overseeing subcontractor inventories and procurement activities.
Implementing ECO (Engineering Change Orders).
Preparing and monitoring performance measurements and reports, including KPI control.

We are currently looking for a Infrastructure DBA to join our team and play a pivotal role in shaping the future of our company.
As an Infrastructure DBA you will be responsible for the SQL Server databases through multiple product lifecycle environments, from development to mission-critical production systems.
If you are a highly motivated, enthusiastic, and experienced DBA- We offer a great working environment in a successful company and development opportunities going forward.
The Infrastructure DBA will report directly to the DBA Architecture Team Leader.
Key Responsibilities:
Manage SQL Server databases through multiple product lifecycle environments. (24/7).
Manage duties such as troubleshooting, and tuning input/output to enhance database performance.
Monitor and optimize the performance of the databases.
Write new and correct existing database monitoring processes.
Support of production SQL Server instances.
Configuration and performance optimization of stored procedures.
Preparation of SQL Server instances for migration to newer SQL Server versions.
Strong knowledge on Hight Availability Technology of MSSQL

Were looking for a Sales Manager, Inside Sales to increase our market share by creating and cultivating new accounts. This role will report to our Team Manager of Inside Sales.
Why is this role so important?
Our digital intelligence solutions serve thousands of customers across many different industries and use cases around the world, and we havent even scraped the barrel of our total addressable market. As a Sales Manager for Inside Sales, you will control the entire sales cycle, and develop critical relationships with our small to medium size business prospects. With customers who love the product, strong brand recognition, and a supportive team behind you, youll be set up for success to meet your sales quotas.
So, what will you be doing all day?
Managing the sales cycle for both inbound leads (80%) and outbound prospects (20%)
Understanding and communicating our unique value proposition to prospects, through prospecting, discovery and solution proposing
Maintaining accurate forecasts and managing sales activities in Salesforce
Driving a sale forward by engaging the prospect at the director/ C-level executive level.

We are looking for a detail-oriented, research-driven Recovery Optimization Analyst with deep curiosity about payment networks, regulations, and chargeback management. You will become our company's expert on card network rules, PSP requirements, and industry best practices, directly impacting our ability to recover disputed transactions for merchants. As part of the Product Analytics team, you will immerse yourself in the complex world of payment disputes—learning the intricacies of different card schemes, analyzing PSP-specific requirements, monitoring regulatory updates, and translating this knowledge into actionable product improvements. This role is ideal for someone who loves diving deep into regulations, enjoys solving complex puzzles, and wants to become a recognized expert in a specialized domain. Responsibilities:
* Maintain comprehensive, up-to-date knowledge of card network rules (Visa, Mastercard, Amex, Discover) and monitor regulatory changes that impact chargeback disputes.
* Create and optimize dispute response content, evidence frameworks, and industry-specific playbooks based on network requirements and best practices
* Research and document PSP-specific requirements, evidence formats, and submission guidelines across different payment processors
* Analyze patterns in dispute outcomes using SQL to identify opportunities to improve cross-segment recovery rates.
* Translate regulatory requirements and industry insights into product feature requirements and optimization strategies.
* Partner with Customer Success, Product, and Engineering teams to implement improvements and enable new business opportunities (industries, payment methods, territories)
* Build and maintain an internal knowledge base to scale domain expertise across the organization.

We are lookig for a Compliance Information System implementer to join our Compliance Operations group.
This position plays a critical role in ensuring a seamless and complaint Onboarding experience for our customers, in alignment with global compliance regulations.
The Customer Onboarding system specialist reports to Compliance Operations Director.
Your key responsibilities will include:
Serve as the primary point of contact for the technical and operational aspects of the Compliance Operations system.
Implement system changes and updates based on user requirements.
Collaborate closely with the Salesforce (SF) team and Sales Operations to support new processes, reports, locations, and initiatives.
Partner with the Billing and Legal teams to ensure accurate reflection of all agreement-related components.
Monitor system performance and ensure timely troubleshooting of errors and failures while collaborating with all other IT focal points.
Set and monitor service level agreements (SLAs).

We are looking for a talented and dedicated ML & Big Data Analyst who will be a part of the Core Data group.
As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.
What does the day-to-day of a ML & Big Data Analyst look like:
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of our data and algorithms.
Utilize your deep understanding of our data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.

We are seeking a Senior DevOps Engineer with extensive experience to lead the design, development, deployment, and operation of large-scale software solutions. This role is a critical bridge between Software Engineering and Infrastructure, demanding a deep proficiency in building and operating reliable, scalable systems within a complex Big Data environment.
What you'll be doing all day:
Own Reliability and Scalability: Lead the architecture and implementation of best practices to ensure high availability, optimal performance, and horizontal scalability of our critical systems, operating within a vast Big Data landscape.
Infrastructure as Code (IaC): Develop, maintain, and evolve our infrastructure using advanced IaC tools (e.g., Terraform or Pulumi), ensuring full automation of service deployment and management across our AWS/GCP cloud environment.
Strategic Collaboration: Partner closely with application software engineering teams to design, conduct code reviews, and implement systems that are stable, secure, and performant.
Observability: Implement and manage robust monitoring, logging, and alerting solutions to enable proactive identification and deep Root Cause Analysis (RCA) of issues.
Automation & Efficiency: Identify and eliminate manual tasks ("Toil") by automating repetitive processes to continuously improve operational efficiency and system reliability.
Production Incident Response: Participate in an on-call rotation to quickly investigate, troubleshoot, and mitigate critical production incidents, driving post-mortems to prevent recurrence.
Performance Engineering: Analyze system performance, conduct performance tuning, and execute capacity planning to meet future demands.