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We are looking for a highly skilled SW developer with Object-Oriented experience in a multi-disciplinary environment as well as Full Stack development experience to join our R&D group in Israel (Rehovot). You will be a part of a talented software team that is currently developing the next generation of 3D printers, using cutting-edge technology and constantly looking for new ideas and improvements.
What you will be doing:
Developing printer and cloud software through all stages - gathering requirements, designing, implementing and following integration on the 3D printers themselves.
Work closely with System and HW engineers, SW developers, QA and many more.
Perform design and code reviews
Constant collaboration and knowledge sharing with the SW team.

We are looking for a motivated and skilled Motion Control Software Engineer to join Motion Control team in developing automotive-grade embedded systems. You will design and implement cutting-edge control algorithms, deliver high-quality embedded software, and contribute to innovative X-by-wire vehicle platforms.
This role is an opportunity to work in a multidisciplinary environment, collaborating with mechanical, electrical, and systems engineers, while advancing your expertise in motion control and automotive technologies.
Key Responsibilities:
Design, implement, and test embedded software for motion control applications (motor control, steer-by-wire, brake-by-wire).
Develop Simulink-based algorithms and support auto code generation workflows.
Collaborate with team members to integrate control algorithms into automotive ECUs.
Debug, profile, and optimize real-time embedded software in C/C++.
Ensure compliance with automotive quality and safety standards (ISO 26262, ASPICE).
Work closely with cross-functional teams to deliver software aligned with program timelines.
Stay current with industry best practices and contribute to continuous improvement in tools and methodologies.

This position requires a strong technical skill set, excellent problem-solving abilities, and a commitment to delivering exceptional customer service.
Responsibilities
Install and upgrade the customer environments with the company solution
Provide technical assistance to customers
Diagnose and troubleshoot software and hardware-related issues
Deliver solutions to resolve customer concerns effectively
Keep accurate records and document customer issues and resolutions
Collaborate with internal teams for efficient problem resolution

The Data Engineering team is a cross-functional team responsible for data integration, monitoring, and quality. This includes automating data flows, alerting, fetching, and checking across various stages of data transformation and projection.
Key Responsibilities
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Develop data architecture for data ingestion, validation, and processing.
Identify, design, and implement process improvements, such as automating manual tasks, optimizing data delivery, and redesigning infrastructure for enhanced scalability.
Create and maintain optimal data pipeline architecture using microservices.
Work with other members of the data team, including data architects, data analysts, and data scientists.
Key Takeaways
Use the tools and languages that are best suited to the job - Complete flexibility to problem-solving with novelty and creativity encouraged.
Be around very bright and lovely people.
Your intellectual curiosity and hard work contributions will be welcome to our culture of knowledge sharing, transparency, and shared fun and achievement.
Provide education and documentation to empower team members to make the most of technical resources.
Contribute to our software engineering culture of writing correct, maintainable, elegant, and testable code.
Utilize AWS services and tools such as S3, EventBridge, Athena, and DynamoDB to build a robust and scalable data architecture for data ingestion, processing, and storage.
Collaborate on data infrastructure that supports LLM-driven workflows - leveraging tools like Cursor to accelerate code development, enhance reproducibility, and streamline iteration on intelligent systems.

We are looking for a hands-on Senior DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.

About the Role & Responsibilities
Drive the technical vision for Hive Team - We're building high-leverage internal platforms that power our companys decisioning and analytics.
Lead complex, cross-functional technical projects from inception to implementation, ensuring alignment with architectural standards and best practices.
Mentor and guide engineers to foster technical excellence, while partnering with product, engineering, research, and ops to translate complex requirements into scalable, reliable systems.
Establish and champion engineering best practices, high coding standards and a winning professional culture, within our team and across the engineering organization.

About the Role & Responsibilities
Build high-leverage internal platforms that power our companys decisioning and analytics.
Lead technical projects end-to-end, covering all stages from architecture to execution.
Own your work: partner closely with research, product, engineering and ops to turn complex requirements into simple, reliable systems.
Be a technical leader for our infrastructure and products.

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.