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Required Staff Frontend Engineer
Job Overview
We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a "builder" mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems.
We hold a global leadership position in financial management solutions. We've been at the forefront of inventing Virtual Platforms and democratizing cloud computing for small businesses and their patrons alike. Our 40 years of expertise have rooted us in the startup mentality, positively disrupting ourselves as we constantly identify cutting-edge technology and design paradigms. Our teams are dynamic, focused on delivering creative solutions with a side of fun.
Responsibilities
Create Front End solutions to deliver exceptional customer experiences.
Translate customer insights into mockups, wireframes, and proof-of-concept code
Lead a small team to solve complex programming and design issues
Contribute to project design and architecture and execute on web, mobile, and front end software development
Provides technical direction and guidance to the team by analyzing, evaluating, and prioritizing technical issues/ features, ultimately ensuring that high-quality solutions are delivered
Proactively identify opportunities to enhance software applications with AI technology
Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes
Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics.

What Youll Be Doing:
Help improve our analytics practices by gathering better data, making it more trustworthy and accessible, and nurturing a top-grade data culture across the company.
Design, develop, scale, and optimize the data pipelines, ETLs and various data models.
Use SQL, DBT, Python and any other relevant tools and technologies.
Identify blind spots in how we use data and lead initiatives to illuminate them.
Collaborate with various stakeholders across the company to translate requirements into high-quality data pipelines and models.
We are currently rebuilding and redesigning much of our tech-stack and processes. Play a major role in designing the future data-work within the company.

Required Senior Staff Software Engineer, AI
Job Overview
Come join the team as a Senior Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

What will you do:
Lead end-to-end strategic growth processes with a primary focus on acquiring new learners for our new efforts and products.
Define key performance indicator (KPI) metrics and derive actionable insights through data analysis and research.
Manage and execute large-scale campaigns across various online advertising platforms.
Develop an analytical approach to influence strategic decision-making, leveraging data analysis, forecasting models, and measurement metrics.
Lead the development and execution of a holistic growth strategy encompassing various user traffic streams.
Collaborate cross-functionally with marketing, engineering, and design teams to implement and optimize growth strategies.
Analyze user behavior data, monitor market trends, and assess the competitive landscape to identify growth opportunities and revenue-generation strategies.
Establish an end-to-end experimentation process, including hypothesis formulation, test design, KPI selection, test execution, results measurement, and recommendations.

Required Senior Staff Software Engineer
Job Overview
Come join the Data Exchange group as a Software Engineer. You will be developing high volume tools and services that are part of our Data Acquisition Platform. Our Backend teams are responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our products. You will utilize your skills to help develop and maintain critical backend systems in cloud environments that are vastly used by both internal and external customers.
Responsibilities
Identify, design and build tools that are focused on tooling work and observability work, ensuring high availability, scalability, and performance of our production systems.
Ensure the highest standards for engineering design, implementation and testing
Collaborate closely with peers, cross-functional teams and business units to define, prioritize, sequence and scope business and functional requirements and drive results forward for us
Accurately scope effort, identify risks and clearly communicate trade-offs with team members and other stakeholders
Be the first level of support and handle incidents, production issues, and alerts.
Investigate production issues and provide valuable insights to the core teams.
Passionate for continuous learning, experimenting and applying cutting edge technology and software paradigms
Pursue and resolve complex or unchartered technical problems and share key learnings
Provide technical leadership and be a role model to software engineers pursuing technical career path in engineering
Stay aware of industry trends and make technology choices and strategic decisions
Mentor engineers on technology, process, people, and product skills.

We're looking for a Staff-level Senior PM that will strategically define and execute the data ecosystem vision, focusing heavily on enabling self-service data consumption across the organization.
You'll bridge the gap between Data and Risk analysts, Data Engineering, Data Science, and business units, ensuring our data assets are high-quality, discoverable, and packaged as successful products that unlock measurable business value.
This role offers the unique opportunity to shape the core data infrastructure powering our next generation of products while working with cutting-edge technology and a team dedicated to innovation.
Responsibilities
Product Strategy and Vision: define and champion the product vision and roadmap for our data products (e.g., internal analytics platforms, external data APIs, machine learning model outputs, core data pipelines).
Stakeholder Collaboration: Serve as the primary liaison between data scientists, data engineers, software engineers, and business stakeholders to gather requirements, prioritize features, and manage expectations.
Requirements Definition: Translate complex business problems and user needs into clear, actionable user stories, functional specifications, and acceptance criteria for data products.
Self-Service Enablement: design and optimize data products to maximize self-service consumption. This includes curating accessible datasets, developing intuitive interfaces, and ensuring data assets are well-documented and easily discoverable by business users.
Data Tool Ownership: Drive the adoption, feature roadmap, and success of our core services; empower analysts and business users with direct data access.
Prioritization and Roadmap Management: Manage the backlog for data product development, making tough trade-off decisions based on business impact, technical feasibility, and strategic alignment.
Product Launch and Adoption: plan and execute successful product launches, including go-to-market strategies, documentation, and driving adoption of data products across the organization.
Performance Measurement: Define, track, and analyze key performance indicators (KPIs) for data products (e.g., data quality, latency, usage, business impact, cost) to ensure product success and inform iterations.

We are seeking a Senior Staff Product Manager to lead our Risk Investigation Platform (IBOSS).
You will be a key leader on our team, responsible for the transformation of our risk investigation capabilities.
You will drive the strategy and execution of a platform that empowers our risk operations teams to make high-quality, efficient decisions when human intervention is needed.
This role is critical to our mission to revolutionize the speed to benefit for our customers, infuse AI into our fraud and risk lifecycle end-to-end, and scale our risk operations globally.
In this role, you will be challenged to think bolder, move faster, and have a bigger impact.
You will partner with exceptional designers, engineers, and data scientists to solve complex problems.
We foster a collaborative and fun environment where we celebrate our accomplishments. Your creativity, strategic thinking, and execution rigor are key to our success.
Responsibilities
End-to-end ownership of a set of risk investigation platform capabilities, from vision and strategy to execution and delivery
Develop deep customer empathy for our customers and risk operations teams with a detailed understanding of their pain points
Transform our risk investigation platform with scalable, AI-driven capabilities to serve a global audience, stitching together data from numerous sources to manage fraud risk, financial risk, and regulatory compliance
Leverage customer insights to formulate a compelling product vision, then develop hypotheses and initiatives to deliver that vision; create, measure, and own success metrics
Build strong relationships with product, engineering, risk policy, and operations teams to influence and align on platform roadmaps
Establish product delivery timelines in close collaboration with development teams; communicate frequently and clearly upwards and outwards across the business
Ruthlessly prioritize initiatives and drive work with a strong focus on process and tactical execution; ensure a high business-impact ROI on resource investment
Know when and how to be scrappy and entrepreneurial, hypothesis-driven, and analytical; exercise strong judgment when balancing risks and making trade-off decisions.

Required Staff Data Analyst, Risk & Fraud
Job Overview
As a Staff Analyst on the Trust and Safety Analytics team, you will be responsible for identifying, making available, and leveraging critical data elements to optimize our ability to fight fraud, protect its customers and enforce acceptable use of products and services. Specifically, you will focus on applying your analytical skills to design, support and scale tools, processes, and strategies that proactively identify and mitigate risks across the organization.
Responsibilities
Collaborate closely with Engineering and Product teams to design, implement, and maintain analytics frameworks, tools, and data systems that support effective data monitoring and risk management strategies, enabling informed, data-driven decision-making.
Take an active role in the analytics team's efforts to manage and enhance Trust and Safety platform capabilities. Provide timely insights and actionable recommendations to strengthen platform performance and address emerging challenges. Develop tools and systems to measure platform health and assess risks, including designing dashboards to track performance metrics, analyze trends, and identify areas that require attention or intervention.
Ensure analytics systems are consistently reliable, accurate, and available. Establish proactive monitoring processes and implement thorough testing to detect and address issues, minimizing system disruptions or delays.
Contribute to effective incident management by using analytics to identify root causes, provide actionable insights, and continuously improve platform risk mitigation solutions.
Stay abreast of the latest developments in AI, and integrate insights into your analysis to address emerging risks.

Required Principal AI Scientist, Fintech Innovation Architecture
Job Overview
Join an amazing team driving cutting-edge AI solutions in the fintech industry, primarily focused on evaluating risk for lending products. This Principal role requires an exceptional blend of deep research, architectural mastery, and a powerful innovation mindset to pioneer new capabilities and deliver high-quality, end-to-end AI systems that shape the product direction for the next 510 years.
Responsibilities
System Architecture & Ownership
Own projects from conception to production, collaborating globally with partners to deliver complex projects.
Define the vision and direction for end-to-end solutions, serving as a thought leader on execution that brings immediate value and solves for the long-term vision.
Deliver robust, high-performance AI/ML system designs that meet critical requirements (latency, throughput, cost, maintenance).
Drive cross-functional end-to-end design architecture.
AI/ML Development & Leadership:
Lead the full cycle of big data exploration, including hypothesis formulation, advanced predictive statistical modeling, and algorithm development across complex, large-scale data.
Mentor existing Data Science teams, influence AI-driven product design and strategy with partner architects, and assist in the definition of roles and training needs.
Innovation & Research Strategy
Pioneer innovative Proof of Concepts (POCs) to show the way for where our Fintech products should go over the next 510 years, focusing on high-impact solutions like Explainable AI, Homomorphic Encryption, or advanced Behavioral Analytics.
Apply research to create high-impact solutions and represent the teams innovation to the wider organization.
Act as a Consultative Business Facilitator, exploiting revealed insights and providing entrepreneurial guidance for business stakeholders.

Required Sr Staff AI Scientist, Fintech Innovation
Job Overview
Join an amazing team driving AI solutions in the fintech industry, primarily focused on evaluating risk for lending products. This Senior Staff role is a blend of leading the full AI/ML development cycle and acting as a Data Science Architect, responsible for all engineering aspects of the work to deliver excellent, high-quality, and operationally sound AI systems.
Responsibilities
System Architecture & Operational Excellence:
Deliver robust AI/ML system designs that meet customer and systems requirements, including latency, throughput, cost, and maintenance.
Working with partners and architects, define the vision and align on architecture for integration, ensuring excellent deliveries in terms of quality, stability, security, compliance, and operational excellence.
Drive cross-functional end-to-end design architecture.
Lead conversations with partner architects to influence AI-driven product design and strategy
AI/ML Development & Modeling:
Lead the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, and insight generation.
Apply advanced, predictive statistical modeling and testing to extract data-driven insights from complex, large-scale data sources (relational and non-relational).
Review complex and challenging work to help simplify and execute with speed.
Strategy & Consultation:
Provide guidance to business stakeholders on how best to harness available data and fully exploit the insights revealed through the research.
Drive the design and creation of reusable AI capabilities.

We are looking for a full-time Service Logistics Coordinator for the Israel branch at Tel Aviv and Ben Gurion Airport as well as support for the entire IL service team.

The primary purpose of this position is to provide excellent customer service to both internal and external customers. He/she will streamline communication provide logistics support and spare parts management at the various locations. The Logistics Coordinator will use all relevant computer systems and programs intended for this purpose to record the data in order to be able to produce monthly reports.

This is a great opportunity to join Smiths Detection - a leading High Tech organization whose mission is to help protect people's lives with its products.

Tasks and responsibilities

Responsible for daily data entry (Service/Maintenance reports, etc.), maintaining accurate and up-to-date records.
Verify that service reports are submitted daily (Servicemax system).
Collecting data from the reporting tool and preparing documentation for various requirements.
Management of spare parts orders, bookings and stock management in the system.
Provide reporting on used spare parts and reconcile with monthly invoicing.
SVMX implementation to get all contracts loaded and accurate data entered
Entering PM plans in SVMX
Management of the work order process for CM and PM, making corrective adjustments if necessary.
Collect and report EHS monthly data.
Provision of Logistics Suport onsite at Ben Gurion airport to receive and ship spare parts
Spare parts stock management of the Stock On Site (SOS) to meet Minimum safety stock
Package and arrange RMA parts for shipping, including all necessary documentation
Perform Quarterly stock cycle counts at Ben Gurion,Ramon and Haifa sites and investigate any discrepancies with Service Supply Chain
Procurement of locally purchased supplies, tools, materials and consumables.
Track and manage Test & Measuring Equipment calibration.
Management of the local customs broker Transworld, to track shipments and support the customs release and supply process.
Assist Service Manager as required.
Other duties as required to support the Israel service team.

Required M2 Data & services
Come join the newly formed services team within Fintech AI & DATA org. as a Development Manager.
In this role youll lead a team responsible for all SW engineering development of Fintech AI & DATA org focusing on platform and data services.
One of the major capabilities you would lead is the RISK data enrichment which is an enabler for Fintech RISK mitigation.
As the service owner you will drive all new vendor data integration, run RTB, lead platform modernization leveraging AI and work closely with stakeholders (policy teams, engineering teams and data vendors).
If you are passionate about leading engineers and building a world class platform, at a high scale, this is the opportunity for you!
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 inspire others through 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).

Reporting to the Israel Service Manager (ISM), the Field Service Engineer (FSE), troubleshoots, services, installs (deploys) and repairs Explosive Detection Systems (EDS), Conventional X-Ray Systems (CXS) or Computed Tomography (CT) equipment at customer sites. An FSE must be team oriented and flexible, and actively seeks to share information and assist his peers. Possess solid communication skills, both oral and written. Demonstrates strong electronic repair troubleshooting methodology and maintains at least an intermediate technical level of product knowledge. Cross trains on all products serviced in the field, and displays proficiency in servicing all equipment across the product line. Willingness to work on special projects, some of high visibility, as assigned. Looks for common-mode problem occurrences and seeks to resolve, both independently and with the aid of others.

Has a working knowledge of PC applications (MS Applications, SAP, and Reporting tools) to provide clear, concise information summaries as required.

Duties:

Responsible for meeting daily service repair needs and driving customer satisfaction
Installs, repairs and maintains equipment in the field; provides customer training as required.
Documents all inspections, maintenance, repair work and submits paperwork in a timely basis
Order, install, and return parts and manages repair parts cycle time
Reviews all logs for open issues and prepares formal reports to customers as necessary.
Participates in Service sales opportunities and assists with promoting and implementing revenue programs.
Ensures that tools and test equipment are properly maintained and calibrated
Assesses product/equipment performance based on field support data; recommends modifications or improvements.
Seeks to provide technical support to customers and other service professionals as required.
May participate in site surveys, pilot program service activities, attend meetings, champion special projects and prepare exclusive reports.
Possesses a solid level of technical knowledge on the companys X-Ray and CT products.
Maintains clear and concise business communication proficiency, both oral and written
Establishes and maintains a close relationship with senior level FSEs and Product Managers in order to support the needs of the customer and remain aware of current technical trends.
Exercises every available measure to control and minimize costs.
Travel, overtime and work hours other than Sunday -Thursday may be required.
Comply with and ensure department compliance with Company health, safety and environmental policies.

Required Staff AI Scientist, Fintech Innovation
Job Overview
Join an amazing team of AI scientists, accountable for creating AI solutions in the fintech industry, who assist in evaluating the risk of lending products.
Responsibilities
Provides guidance and support leadership to business leaders and stakeholders on how best to harness available data in support of critical business needs and goals.
Leads the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation/visualization, and action planning.
Uses considerable expertise and independent judgment in collaborating with peers, data engineers, database managers, and business analysts in designing and implementing the research strategy needed to methodically and iteratively structure, extract, cleanse, sample, test, validate, and communicate data-driven insights from complex sources and significant volumes of data for complex and unique business problems
Applies proven methods and hacking skills in working with divergent data types, data scales, and big data (petabytes), to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources (relational and non-relational NoSQL databases)
Provides to business stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the research.

Come join the team as a Staff Back End Engineer. We are seeking a highly skilled engineer passionate about building a world-class platform at a high scale, specifically focused on AI productization
Responsibilities
System Design: Design, implement, and enhance services at large scale. Use your coding expertise to design and implement scalable, modular, and secure services.
AI Implementation: Develop backend systems that support serving of LLMs and AI Agents.
End-to-End Ownership: E2E responsibilities including technical documentation and automation tests. Resolve defects and bugs during testing, production, and post-release patches.
Collaboration: Work cross-functionally with various teams: product management or business units to drive forward results. Participate in peer code reviews.