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As the AI Solution Manager you will be the primary technical executor of the organizations AI transformation. This is a critical role within our AI Squad who map opportunities and execute end-to-end solutions that drive a measurable competitive advantage. You are the "hands-on" specialist responsible for the delivery, integration, and adoption of AI tools across all departments. This role requires a high degree of technical literacy regarding infrastructure and integrations, combined with a proven track record in large-scale system implementation.
Responsibilities
Own the technical rollout of AI tools, from initial configuration and API integrations to cluster management and full-scale production deployment.
Architect and build complex automated workflows that bridge the gap between AI products and internal organizational systems, ensuring reliability and scalability.
Manage the technical environment requirements for AI tools, including the setup and maintenance of clusters and the coordination of the underlying system architecture.
Act as the primary technical point of contact for departments during the implementation phase, translating business requirements into precise technical configurations and workflows.
Establish performance metrics for implemented tools, monitoring adoption and technical efficiency to ensure maximum organizational impact.

Were looking for a Senior Frontend Developer to join our growing R&D team. Youll play a key role in shaping and scaling our user-facing applications, building modern, high-performance, and reliable experiences for our customers.Our stack is built with React and TypeScript, with legacy JavaScript code were migrating. We use Redux and React Query for state management, and rely on a modern toolchain with CI/CD, automated testing, and monitoring.This is a hands-on role where youll not only deliver high-quality features but also help define architecture, drive code quality, and mentor the team in modern frontend practices.
Your Arena:
Develop, maintain, and optimize complex frontend applications using React + TypeScript.
Lead the migration of existing JavaScript code to TypeScript, setting best practices and standards.
Collaborate with Product, Design, and Backend teams to deliver user-facing features end-to-end.
Own state management patterns with Redux and React Query, ensuring consistency and scalability.
Improve performance, accessibility, and reliability across the frontend.
Write clean, well-tested, and maintainable code with high test coverage.
Mentor and support other developers, promoting best practices and continuous improvement.
Contribute to technical discussions on architecture, tooling, and long-term frontend strategy.

Required Senior Backend Engineer
Description
This is not your typical engineering role.
If you're looking to pick up tickets, follow specs, and write clean services- this isnt for you.
But if you care about building systems that think, if you use AI to move faster than everyone else, and if you want real ownership over complex, high-scale problems - keep reading.
What we're actually building:
Were building systems that dont just process data, they make decisions.
Real-time, high-stakes, at scale.
Fraud isnt static. It evolves all the time so our systems need to evolve faster.
That means combining backend architecture, data, and AI into something smarter than traditional SaaS.
What youll actually do:
Design and build the core systems behind real-time fraud detection
Work on everything from ingestion pipelines to decision engines
Own what you build - from idea to production to iteration
Deal with scale, edge cases, failures, and ambiguity (a lot of it)
Use AI as part of your daily workflow - not as a gimmick, but as leverage
Help figure out better ways to build software in this new era.
What youll get here:
Real ownership (not ownership in slides)
Hard problems with real impact
A team that moves fast and expects you to keep up
Freedom to rethink how things should be built - not just maintain what exists
A chance to become a significantly stronger engineer by working differently
Stack (for context, not as a checklist):
Node.js / TypeScript
Distributed, event-driven architecture
Kafka
AWS
MongoDB + Postgres
Containers (Docker, Kubernetes / ECS).

Required Engineering Squad Lead
Description
This is not your typical leadership role.
If youre looking to manage tasks, run standups, and stay above the code - this position probable isnt for you.
But if you want to build systems, shape engineers, and redefine how teams operate in the age of AI - keep reading.
What were actually building:
Were building systems that dont just process data - they make decisions.
Real-time. At scale. Under uncertainty.
Fraud evolves fast.
So our systems, and our engineers, need to evolve faster.
This is where you come in.
What youll actually do
Youll lead a team - but youll also build with them
Youll make architectural decisions that directly impact how the system scales and behaves
Youll own critical parts of the system - not just people
Youll turn ambiguity into direction (for both product and engineering)
Youll raise the bar: in code quality, system design, and how the team thinks
Youll embed AI into how the team works - not as a tool, but as leverage
Youll help strong engineers become exceptional
What makes this role different:
You wont just manage execution - youll shape how we build
You wont just lead people - youll lead thinking
Youll have real influence on architecture, product, and engineering culture
Youll work on systems that actually matter - with real scale and real impact
Youll help define what a high-performing AI-native engineering team looks like
Stack (for context, not as a checklist):
Node.js / TypeScript
Distributed, event-driven systems
Kafka
AWS
MongoDB + Postgres
Containers (Docker, Kubernetes / ECS).

Required AI Business Analyst, GTM
Description
Welcome to where innovation meets expertise. We're not just another startup; we're a dynamic and rapidly expanding company driven by seasoned leaders in the world of fintech and eCommerce. Our passionate team is on a mission to tackle one of the most pressing issues plaguing online businesses today: chargeback fraud. This insidious menace all too often results in substantial losses, both in revenue and profits. Join us on our journey as we revolutionize the fight against chargeback fraud.
Weʼre building the worldʼs most advanced solution for First-Party Fraud. Weʼre a fast-growing startup tackling complex problems in the payments and fraud prevention space. We serve tens of thousands of businesses, and supporting them while staying lean means AI isn't optional; Here, itʼs foundational.
Who We're Looking For - The Dream Maker:
This Israel-based analyst position will primarily provide insights to our Go-To-Market GTM) teams, contributing to our growth and churn reduction. You'll be one of two analysts building an AI-scale analytical engine that turns data into insights & actionable decisions - using AI not as a shortcut, but as a force multiplier.
Your Arena - Know your impact
GTM Intelligence: Design, build, and maintain the analytical layer that powers our GTM teams - through ad hoc & recurring analyses as well as dashboards. You'll automate what's automatable, using code and AI to turn recurring work into self-running workflows. For example, helping Customer Experience understand and battle churn drivers, expansion signals, and revenue performance- acting on them before and after problems surface. Similarly, help Sales close deals by turning data into a narrative, into ammunition they can walk into a meeting with.
Master the payments domain: Learn card scheme (e.g. Visa) rules & PSP (e.g. PayPal) workflows. Then apply this understanding and knowledge into your analyses as well as AI context & instructions.

We are looking for a Lead Data Scientist to lead strategic research initiatives. This individual will be at the forefront of our companys research, working hands-on to advance our models while also mentoring and collaborating with data scientists across the department.
Responsibilities
Spearhead strategic research of new cutting edge Machine Learning models
Mentor and advise data scientists in the Auto loans research team as well as across the research department
Design solutions for the companys core mission using Data Science methodologies from various domains
Work in a short life-cycle research and development environment
Generate and test working hypotheses in unexplored territory.

We are looking for a visionary Principal Data Scientist to lead strategic research initiatives focusing on our Personal Loans asset class. In this high-impact, individual contributor role, you will be at the absolute forefront of our research department. You will tackle our companys most challenging, long-term research questions, working hands-on to advance our sophisticated models while providing high-level professional leadership and mentorship to data scientists across the group.
Responsibilities
Act as the technical authority and professional lead for the Personal Loans research group, setting the standard for scientific rigor and innovation.
Spearhead complex, long-term research initiatives that address fundamental challenges in credit risk, behavioral modeling, and portfolio optimization.
Develop cutting-edge Machine Learning models and algorithms from scratch, moving from high-level hypothesis to production-ready solutions.
Design multi-domain Data Science solutions for the companys core mission, identifying untapped opportunities within our vast datasets.
Mentor senior and staff data scientists, advising on methodology, experimental design, and technical roadblocks without the overhead of people management.
Partner with Product, Engineering, and Finance stakeholders to align long-term research goals with our companys strategic business roadmap.

The Research Director is a critical leadership position within our company. This role involves managing a high-performing group responsible for driving profitability and strategic decision-making through advanced data analytics, optimization strategies, and predictive modeling related to loan funding and issuance (specifically in the Personal Loans product, which is our companys largest product).
This is primarily a management-focused role, requiring a high level of technical understanding to guide the team, combined with the professional maturity, scientific rigor and executive presence necessary to effectively collaborate with and present to company leadership.
Responsibilities
Leading, mentoring and managing a group (2 teams) of Data Scientists
Defining and executing overall strategy, ensuring alignment with the companys financial goals and product roadmap.
Oversighting of the group's projects, initiating new ideas and proactively improving the companys abilities.
Leading research on Affiliates, balancing between higher ranking metrics and profitability
Fostering a culture of data-driven decision-making, continuous learning, and high-velocity iteration within the team.
Directing the team in performing sophisticated data research to identify pricing and decisioning opportunities to impact profitability.
Translating complex data insights into clear, actionable business recommendations for partnerships and operational teams, to ensure seamless integration of data-driven solutions.
Serving as the primary representative of the group, presenting complex findings, strategic recommendations, and group performance metrics to the company's executive team and other departments.
Guiding the development, validation, and deployment of advanced predictive models to enhance performance.

A leading defense-tech company, is looking for an Algorithms Developer to join our Data Fusion Team for a meaningful and mission-critical role in homeland defense, based at the company headquarters in Or Yehuda.
Job Description
Develop and implement algorithms for multi-sensor data fusion (Track-level / Sensor-level Fusion).
Process sensor data, including noise filtering and time synchronization.
Implement and enhance advanced filtering techniques such as Kalman Filters.
Build and evaluate statistical sensor models across various coordinate systems (WGS-84, UTM, ECEF, etc.).
Develop BIAS estimation algorithms for active and passive sensors (e.g., Radar, SIGINT).
Integrate and deploy algorithms into Real-Time / Near Real-Time systems.
Participate in field and laboratory tests, analyze performance, and produce technical reports.

we are looking for a Product Analyst to join our Data team and take ownership over analytics for core product areas. In this role, you will work closely with multiple product and engineering teams, play a key role in product decision-making, and drive business growth through deep data analysis and experimentation.
This is a unique opportunity to lead analytics in high-impact product domains and influence decisions at scale.
What am I going to do?
Own analytics across core product areas and user flows
Analyze product performance and derive actionable insights
Plan, run, and analyze A/B tests end-to-end, including experiment design, metric definition, and impact analysis
Partner closely with Product Managers and Engineering teams as the data focal point for product decisions
Build and maintain analytical foundations, including tracking, events, funnels, and data processes
Proactively monitor key metrics, identify trends or anomalies, and communicate insights to stakeholders
Create visibility through reports, dashboards, and alerts to support ongoing decision-making
Lead deep-dive analyses and broader business research as needed.

we are looking for a brilliant Data Analyst to join our fast-growing company and Data department. As part of this position, you will be working alongside various teams that are responsible for shaping our top-tier clients' and freelancers' experience. You will take a significant part in decision-making and proactively guide our business growth, based on data analysis
Were looking for someone who is AI-native, tech-savvy, and curious by nature - a self-learner who takes ownership, explores automation and AI tools to enhance analytical workflows, and proactively turns data into action.
You will be required to answer complex and strategic questions defined by executive management and various business units, create insightful recommendations, and initiate deep-dive analysis for specific domains. You will need to support new initiatives and proactively guide the business growth, working independently and within a team.
What am I going to do?
Data analysis focal for business & product-related teams
Proactively provide insights that will lead the business growth
Ability to model/simulate new features & opportunities, estimated impact
Build and maintain the teams reporting set and dashboards
Manage multiple tasks in a fast-paced working environment
Conduct deep-dive analyses with actionable recommendations and conclusions.

Are you a Python wizard who speaks fluent AI? At DealHub , we’re not just talking about the AI revolution – we’re actively building it into the core of how the world’s leading B2B companies close deals! We are looking for a Senior Python Backend Engineer to join our core R&D team in Holon (Hybrid) and take ownership of our next-gen AI features. Why is this role exciting? Instead of just wrapping basic API calls, you will be building complex infrastructure from scratch. You’ll be designing robust RAG pipelines, integrating LLMs into heavy-duty production environments, and working with Vector DBs to automate contract analysis and smart pricing for thousands of enterprise users.

Were reinventing HR - and looking for builders to join the ride.
If youre the kind of HR professional who spots a gap, rolls up your sleeves, and creates whats next youll fit right in.
Youre equal parts strategist, doer, and people-whisperer. Curious about everything and a little obsessed with making work better through tech and AI?
Thats you. Thats us.
What am I going to do?
Be the People Partner for a group of employees owning the entire employee journey from hiring to offboarding.
Hands-on of recruitment, onboarding, learning & development, engagement, and wellbeing processes of your team.
Act as a strategic advisor to managers and leadership.
Use data and AI to make smarter, faster people decisions.
Help us run HR like a startup - agile, bold, and human-centric.

Experienced Data Engineer? Excellent team player?
Come join a great team to overcome meaningful cyber challenges!
Our Data Solutions Group is looking for an exceptional Python developer with Data Engineering experience.

we are looking for a Embedded Systems Vulnerability Researcher.
As an Embedded Systems Vulnerability Researcher, you will operate at the cutting edge of security projects. Your mission is to identify, exploit, and mitigate security flaws in complex hardware/software ecosystems. You will bridge the gap between the digital and analog worlds, analyzing everything from low-level firmware to the electromagnetic spectrum.
Responsibilities:
Vulnerability Discovery: Perform deep-dive security analysis and "bug hunting" on proprietary embedded systems and RTOS.
Exploit Development: Create Proof-of-Concept (PoC) exploits for identified vulnerabilities, including memory corruption, logic flaws, etc.
Firmware Analysis: Conduct static and dynamic analysis of binary blobs using advanced reverse engineering suites.
Hardware Probing: Utilize JTAG, UART, and SWD interfaces to extract firmware, monitor execution, etc.
Tooling: Develop custom scripts and tools in Python, C, C++ to automate the research and exploitation pipeline.