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our company provides a leading solution to streamline quote-to-revenue processes. We provide our customers with full onboarding and implementation processes and support them through the process and onwards. We are hiring a Junior Customer Support Engineer who is enthusiastic about solving complex puzzles and diving into technical problems. As a Customer Support Engineer, you will provide world-class support to our customer Sales Ops teams to resolve issues with their configuration & integrations and work closely with the R&D and product teams. You will be responsible to:
* Provide fast, professional, and personal support to our company's customers worldwide, via emails, video calls and recorded sessions
* Provide application support on our company's platform, mainly on configurations and integrations with other CRM platforms
* Do troubleshooting and ensure each ticket has been solved
* Make the customer satisfied with the solution and support provided
* Manage your work in a ticketing system
* Collaborate with different teams in the company

We're seeking an experienced Generative AI Specialist to design and implement sophisticated agentic AI systems that can autonomously handle complex workflows. You'll be responsible for architecting AI agents that can interact with various data sources, make intelligent decisions, and deliver actionable insights to our customers. This role represents a unique opportunity to pioneer enterprise-scale agentic AI implementation, establishing new paradigms for autonomous decision-making and intelligent automation.
Key Responsibilities:
Design and deploy production-grade agentic AI systems that can autonomously process customer documents and queries
Architect retrieval-augmented generation (RAG) pipelines for large-scale document management and intelligent information extraction
Implement multi-agent orchestration frameworks that can coordinate between different specialized AI components
Develop robust context management systems for handling extensive customer data while maintaining efficiency and accuracy
Create and optimize AI workflow automation that can handle dynamic customer requirements and business scenarios
Ensure AI system reliability, scalability, and compliance with industry regulations
Implement comprehensive performance monitoring systems to track AI output quality, accuracy, and relevance
Collaborate with cross-functional teams to integrate AI agents with existing business processes and systems.

We are seeking a seasoned Delivery Manager with expertise in Agile delivery within a global software development environment, ideally with experience in the general insurance, property & casualty, life, pensions, and annuities sectors.
What youll do:
Deliver software solutions on time, within scope, on budget, and with exceptional quality, leveraging Agile methodologies to meet customer satisfaction as outlined in the SOW.
Oversee and actively participate in release and environment deployment processes.
Manage tight timelines, ensuring team motivation to meet and exceed project deadlines.
Lead the full project lifecycle, including analysis, design, development, testing, implementation, and integration.
Handle project scheduling, resource planning, budget tracking, and time management.
Collaborate closely with customers and project teams to define requirements, identify gaps, and translate them into actionable user stories.
Simultaneously manage multiple projects, facilitate status meetings, and confidently present to diverse audiences.
Proactively identify challenges, mediate conflicts, propose solutions, and drive implementation.
Build and maintain strong relationships with stakeholders, ensuring a smooth and customer-centric delivery process.
Provide leadership in a global setting, directly managing Team Leaders and matrix-managing multidisciplinary delivery teams.

We are seeking a dynamic Data Scientist with a strong data science experience and flair for AI Pre Sales to join our team. This hybrid role combines technical expertise in AI and data science with the ability to identify, pitch, and present AI/ML solutions for our clients. The ideal candidate is an accomplished data scientist who can design and execute AI/ML models to meet complex client needs while able to demonstrate and clearly explain business benefits and practical implementations to customers.
Key Responsibilities:
Data Science and Technical Consulting (Primary Focus)
Data Analysis & Insights: Perform advanced data analysis on structured and unstructured datasets to generate actionable business insights.
Model Development & Validation: Design, develop, and validate machine learning models and algorithms tailored to client use cases.
Proof-of-Concept (PoC) Development: Lead the creation of AI/ML PoCs to demonstrate the feasibility and impact of proposed solutions.
Advanced Analytics Advisory: Provide expert guidance on applying predictive analytics, natural language processing (NLP), computer vision, and other AI techniques to solve complex business challenges.
Solution Integration: Assist clients in seamlessly integrating AI/ML solutions into their workflows, ensuring measurable impact and ROI.
Model Optimization: Continuously fine-tune and optimize deployed models to ensure scalability, performance, and accuracy over time.
Technical Innovation: Stay ahead of AI/ML trends, tools, and frameworks, and proactively suggest innovative approaches to enhance client outcomes.
Business Translation of AI/ML: Serve as a bridge between technical teams and business stakeholders, translating AI/ML solutions into clear, actionable business terms.
Sales Support (Secondary Focus)
Lead client discussions to uncover pain points and articulate AI/ML-driven solutions with measurable business value.
Create and deliver compelling presentations, proposals, and technical demonstrations to prospective clients.
Collaborate with internal teams to align client requirements with technical capabilities.
Drive end-to-end pre sales cycles, including requirement understanding, product / solution customization, business oriented demo flows and stories preparation, presentations to technical and business stakeholders.

abra R&D is seeking for an Integration and Verification Engineer. We are looking for a skilled Integration and Verification Engineer to perform functional testing, system integration, and field trials of complex multi-disciplinary systems including RF, hardware, firmware, and software. This role requires hands-on experience with lab equipment, strong troubleshooting capabilities, and the ability to lead field tests and provide technical support to customers. A full time on site position, based in Holon, Israel. ?Key Responsibilities:
* Perform integration and verification testing of systems and subsystems (HW/SW/FW/RF)
* Operate test equipment (e.g., Spectrum Analyzer, Signal Generator) and develop test automation scripts
* Lead field tests, including test setup design, documentation, and real-time troubleshooting
* Deliver technical demonstrations and training (OJT) to customers, both in Israel and abroad