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we are looking for a Data Engineer.
This is a full-time, on-site role for a Data Engineer at WideOps Ltd., located in Haifa.
The Data Engineer will design, build, and maintain scalable data pipelines, implement robust Extract, Transform, Load (ETL) processes, and develop efficient data models to support business intelligence and data analytics needs.
The role also involves building and improving data warehousing solutions and collaborating with cross-functional teams to ensure data integrity and optimize workflows.

we are looking for a Sales Manager.
Responsibilities:
Engage with prospect organizations to position Cloud solutions through strategic value-based solution proposals, references, and analyst data.
Work with Vendor account teams to develop and drive pipeline, providing additional guidance.
Serve as the primary customer contact during bid submission, pilot test, legal review, and procurement. Keep records of customer interactions and provide quarterly projections.
Building and cultivating lasting relationships.
Build a pipeline of customers within selected verticals.
Leverage WideOps Engineering and Marketing resources, and provide input on current collateral materials and ideas on how to improve them.

We are seeking a visionary and hands-on AI Scientist to help shape the next generation of foundational language models and agentic systems that empower small and medium-sized businesses (SMBs) to thrive. In this role, you will play a key part in defining, designing, and building groundbreaking AI solutions that understand, reason, and act across complex financial and business contexts.
You will collaborate closely with cross-functional experts in AI research, data science, engineering, and product to create intelligent agents that help SMBs automate financial tasks, make smarter decisions, and operate more efficiently. Your work will combine scientific rigor with visionary execution, balancing theoretical innovation with large-scale practical impact.
The ideal candidate is a builder-scientist-a creative thinker who not only develops novel model architectures and training paradigms but also drives their implementation and validation in real-world applications. Youll have the opportunity to shape the AI foundation that powers transformative products serving millions of customers.
Responsibilities:
Design and develop foundational language models and agentic architectures that power intelligent decision-making for small and medium businesses.
Explore novel approaches in large-scale pretraining, fine-tuning, retrieval-augmented generation, and reasoning to improve factuality, adaptability, and alignment.
Build intelligent agents capable of understanding financial data, customer context, and business workflows - from bookkeeping and planning to communication and insights generation.
Collaborate with cross-functional teams across AI research, engineering, product, and design to translate breakthrough science into scalable products used by millions.
Define technical strategy and roadmap for next-generation agentic systems, driving innovation and excellence across the organization.
Publish and present research findings, internal innovations, or contributions to open-source frameworks where appropriate.

As a Senior Analyst on the Trust and Safety Analytics team, you will play a critical role in identifying, analyzing, and operationalizing key data signals to help prevent fraud, protect customers, and enforce acceptable use of products and services. You will apply strong analytical and technical skills to support and scale risk detection tools, monitoring processes, and mitigation strategies across Trust & Safety.
This role partners closely with Product, Engineering, and Operations teams to deliver insights that drive data-informed decisions and measurable risk reduction.
Responsibilities:
Partner with Engineering and Product teams to support the design, implementation, and maintenance of analytics tools, dashboards, and data pipelines that enable effective fraud and risk monitoring.
Analyze large, complex datasets to identify trends, anomalies, and emerging fraud patterns, translating findings into actionable recommendations.
Contribute to the ongoing improvement of Trust & Safety platforms, including monitoring performance metrics, assessing platform health, and identifying risk gaps or degradation.
Design and maintain dashboards and reporting (e.g., Tableau) to track fraud performance, operational efficiency, and risk exposure.
Ensure data quality and reliability by performing validation, testing, and monitoring of analytics outputs; proactively identify and escalate issues.
Support incident analysis and investigations by using data to identify root causes, quantify impact, and recommend mitigation actions.
Stay current on fraud trends, AI-driven abuse, and industry best practices, incorporating new insights into analyses and detection strategies.
Clearly communicate insights to both technical and non-technical stakeholders, influencing decisions through data-backed storytelling.

Were looking for a hands-on DevOps Engineer with a strong cloud-native mindset to help build, maintain, and evolve our scalable infrastructure. This role requires deep expertise in AWS, Infrastructure as Code, Kubernetes, and a proactive approach to security and automation. You'll work closely with engineering teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment - all while keeping reliability and security top of mind. This role is ideal for an experienced and highly skilled DevOps engineer who is passionate about building scalable and reliable infrastructure and thrives in a fast-paced, innovative environment. What youll do: Build, automate and manage cloud infrastructure on AWS. Operate and enhance Kubernetes environments, including automation, security, observability and CI/CD integration. Drive continuous improvement in Developer experience and operational excellence. Implement security-first infrastructure, tooling and workflow patterns. Collaborate with Developers, Support and Product teams to ensure infrastructure and automations align with evolving requirements. Contribute to technical design discussions and cross-functional decision-making.
Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

As a Group Product Manager (GPM) for QuickBooks Bill Pay, you will own the vision, strategy, and execution for one of QuickBooks most strategic growth and engagement levers.
You will lead a team of product managers to deliver a world-class bill payment experience that helps small businesses effortlessly manage spend, improve cash flow, and build healthy financial habits.
This role sits at the heart of Money Movement ecosystem and requires a leader who can blend customer obsession, innovation, operational excellence, and deep cross-functional partnership to build delightful, reliable, and scalable financial workflows for millions of small businesses.
You will shape the future of how small businesses pay their bills-securely, intelligently, and with confidence.
Why makes this role exciting?
High Visibility and Impact: You will lead one of the most strategic product areas of QuickBooks, directly impacting millions of small businesses.
Massive Customer Need: Bill payment is core to financial health-your work will reduce stress, eliminate manual workflows, and power prosperity.
Innovation Playground: Build intelligent automation, AI-driven insights, seamless money movement, and delightful AP workflows.
Leadership Scope: Lead a growing PM team and influence the broader Money ecosystem across .
Scale + Velocity: Work with cutting-edge financial infrastructure, trusted data, and a massive, engaged customer base-combined with startup-like speed.

Join the QuickBooks B2B Group as a R&D Team Lead, managing and developing the Bill-pay experience!
In this role youll be part of an innovative team that creates the next generation of payment mechanism, helping small business to get paid faster.
If you love having stretch goals, real world challenges, and making customers incredibly happy whilst fostering your obsessive need for perfect code and user experience, this is the job for you.
You will collaborate with many teams in and contribute to many components in different Business Units.
We love engineers who lead the change, are not afraid of technical challenges, communicating with customers and delivering the most beautiful and intuitive applications.
Responsibilities:
Technology leaders think strategically and drive for results. They build high performing teams by putting the right people in the right job at the right time. Leaders help to innovate by thinking differently. They lead their teams to embrace new ideas that produce outstanding results for our customers. Leaders at inspire others thru action by creating a spirit of collaboration.
In this role you will help to bring out the best ideas from the best engineers by empowering them and leading by example.
Your team will create and bring customer driven software products to market that simplify and solve for current customer needs while building for the future.
To accomplish this you will create a shared vision and build and maintain strong cross-functional relationships / alignment with partners across the business (e.g. Program Mgmt, Business Analyst, Program Managers and Development Managers across the org).