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We are looking for a Senior QA Automation Engineer for our Raanana office (hybrid set up). The QA Automation Engineer role provides you with a unique opportunity to work on an impressive technology landscape, involving many of the most popular tools and cloud platforms of today. You will get a chance to utilize your expertise and imagination, while we work together to power our market-leading product platform with next-generation technologies.

The role will challenge you every day, to think harder and innovate, giving you an excellent chance to grow your skills and knowledge. You will be responsible for the quality assurance of our Quality Intelligence platform. You will define, design and implement innovative ways to push our products to the edge and ensure that it can provide the reliability, scalability and availability our customers expect from our products.

Responsibilities:

Plan and execute effective test scenarios as per the acceptance criteria in user stories

Design and implement robust and scalable automated testing sets to ensure high code coverage.

Monitor production systems to identify patterns of failures and potential bottlenecks, and bring the most common scenarios under test coverage

Bring new ideas to emulate complex scenarios while testing applications

abra is Hiring: System Amalyst Location: Ra’anana / Haifa Work Schedule: Full-time, Sunday through Thursday About the Role: abra is looking for a SharePoint Implementer to join our team and take part in a variety of internal projects. As part of the role, you will:
* Assist in building and customizing internal sites for employees
* Provide training and support to users
* Work on SharePoint-based projects
* Take part in test development and implementation Join a dynamic team and help us improve collaboration and productivity across the organization!

A new type of finance role designed for an AI-driven organization. You will combine strong FP&A fundamentals with curiosity for GenAI tools, modern analytics, and SaaS monetization. Working closely with AI leaders, product teams, and business stakeholders, you will help translate innovation into financial insights while contributing to core financial execution.

What will your job look like?
Support planning, forecasting, and performance analysis for Data & GenAI initiatives
Build financial models for AI solutions, SaaS offerings, and data-driven business cases
Analyze monetization approaches for GenAI-driven capabilities and internal transformation programs
Design and track KPIs measuring efficiency, productivity, and value from AI adoption
Partner closely with product, engineering, and AI leaders to translate roadmaps into financial narratives
Use GenAI and analytics tools to streamline reporting and improve decision-making workflows
Maintain ownership of core FP&A deliverables while supporting strategic decision-making

Financial planning and analysis to ensure accurate recording and enable decision-making, measurements, budget control and ongoing monitoring.

What will your job look like?
Collecting data from all relevant partners and reflect financial data in the system and analyze financial data, perform multiple scenarios, build models and identify trends
Extract major insights and conclusions from the analysis
Provide relevant key partners with main takeaways and recommendation
Supporting the business in decision making

Lead a large-scale engineering organization in the Data & AI domain, define the technological strategy, manage global multiple teams and managers, and drive the delivery and innovation of advanced AI-powered solutions and data platforms.

What will your job look like?
Lead a multi-disciplinary engineering group including software engineers, data engineers, ML engineers, and team managers, while shaping the long-term technological and product roadmap.
Define the Data & AI strategy for the product, including architecture, scalability, engineering standards, and best practices.
Oversee end-to-end development of Data and AI capabilities, including model integration (LLMs/ML), data pipelines, analytics components, and production-grade AI services.
Work closely with Product, Architecture, Delivery, and customer stakeholders to translate business needs into scalable AI and data-driven solutions. Manage agile engineering processes: planning, prioritization, execution, technical design reviews, DevOps practices, and quality control.
Lead innovation initiatives in Generative AI, evaluate emerging technologies, and own POCs, pilots, and transformation activities.
Manage budgets, recruitment, talent development, leadership growth, and organizational KPIs.
Represent the Data & AI domain in executive forums, customer discussions, and cross-organizational strategic initiatives.

Financial planning and analysis to ensure accurate recording and enable decision-making, measurements, budget control and ongoing monitoring.

What will your job look like?
Collecting data from all relevant partners and reflect financial data in the system and analyze financial data, perform multiple scenarios, build models and identify trends
Extract major insights and conclusions from the analysis
Provide relevant key partners with main takeaways and recommendation
Supporting the business in decision making

We are seeking a highly skilled and visionary Lead Data Scientist with deep expertise in Generative AI to lead high-impact initiatives at the frontier of AI innovation. This role requires a unique blend of advanced technical skills, domain specialization, leadership ability, and a passion for delivering real-world impact. You will guide a small team of talented data scientists and work collaboratively across engineering and product teams to design, build, and deploy intelligent, domain-specific multi-agent systems.

What will your job look like?
Lead the design of complex, domain-specialized multi-agent Generative AI systems.
Provide technical mentorship and leadership to a team of 3-4 data scientists.
Drive hands-on research and rapid prototyping in areas including LLM fine-tuning, prompt engineering, agentic workflows, and self-improving systems.
Collaborate with product managers, engineers, and domain experts to identify opportunities and deliver AI-driven features and products.
Evaluate and integrate state-of-the-art models and tools from the GenAI ecosystem, including open-source and proprietary solutions.
Translate research outcomes into actionable product features and influence AI strategy and roadmap.
Maintain high standards for scientific rigor and data integrity throughout the development lifecycle.

Financial planning and analysis to ensure accurate recording and enable decision-making, measurements, budget control and ongoing monitoring.

What will your job look like?
Collecting data from all relevant partners and reflect financial data in the system and analyze financial data, perform multiple scenarios, build models and identify trends
Extract major insights and conclusions from the analysis
Provide relevant key partners with main takeaways and recommendation
Supporting the business in decision making

Financial planning and analysis to ensure accurate recording and enable decision-making, measurements, budget control and ongoing monitoring.

What will your job look like?
Collecting data from all relevant partners and reflect financial data in the system and analyze financial data, perform multiple scenarios, build models and identify trends
Extract major insights and conclusions from the analysis
Provide relevant key partners with main takeaways and recommendation
Supporting the business in decision making