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We are looking for a Senior Engineer with a data engineering background to join our growing ML Platform team. This is a great opportunity, whether you have experience with ML and are looking for a ML focused product or are an experienced Data Engineer looking to enter the world of ML. Together well provide tools to develop more effective models, get them into production faster, and ensure that they continue to perform well over time.
ML is central to our work. It enables us to process billions of $ worth e-commerce transactions, make decisions in real time, identify fraud rings, and quickly detect new attack methods. Precision is crucial - bad decisions by our models cost us directly and put money into the pockets of fraudsters.
Our adoption by merchants around the world provides us with billions of fresh data points each day. Our team of data scientists, analysts, and cyber intelligence specialists continually identify new signals, engineer new features, and research new models. But as the volume of data and the number and complexity of models grows, so do the engineering challenges.
If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.
Why should you join us?
Youll be part of a highly proficient engineering team that is a focal point for all ML engineering activity, striving to constantly bring innovation and leverage ML capabilities across all company teams and products.
This role presents a unique opportunity to enter the ML domain. For those already experienced in ML infrastructure, it offers the chance to grow within a team that specializes in high-scale, Big Data and ML systems.
What you will be doing:
Designing, building, and maintaining the ML infrastructure that allows our models to make billions of real-time decisions every year.
Building a platform that enables managing a full ML model lifecycle - from researching to training, deploying, and serving predictions in real-time.
Building distributed data processing pipelines to support model development.
Acting as a consultant to researchers, data scientists, and expert analysts and enabling them to research new models faster and with greater precision by providing cutting-edge tooling.
Expanding our ML infrastructure to make it scalable, quick, and efficient to bring diverse models to production and to monitor their performance and drift over time.
Expanding the pool of internal customers able to use ML. Work with them to understand their needs and help them make the most of the infrastructure that well provide.
Acting as an advocate for MLOps, continually improving our processes, and raising our standards.

Required Senior Software Engineer, Payments
Israel - Tel Aviv
About the role:
Were on a mission to build the first holistic smart payment solution-one that maximizes authorization rates for our merchants by intelligently determining and executing the optimal strategy for every transaction. Our Payments team is designing and running highly critical, production-grade infrastructure, and were looking for a deeply technical engineer to help shape it from the ground up.
In this role, youll lead the design and development of payment products, build resilient infrastructure, dive deep into technical complexity to solve production challenges, and work closely with teammates, stakeholders, and customers to understand their needs. Youll have end-to-end ownership-from architecture and coding to deployment and monitoring-while helping set the technical direction for a growing initiative.
This is an early-stage effort, giving you the chance to be a founding member, influence architectural decisions, and directly impact merchant success. We value thoughtful technology choices, resourcefulness, and a fast-moving, problem-solving mindset. Our engineers are creative, independent, and adaptable, working with a diverse stack of technologies to deliver maximum value to our clients.
What you'll be doing:
Build and enhance payment products-creating new systems from scratch while improving and integrating with existing ones
Design and implement resilient, production-grade infrastructure that can handle critical workloads
Lead technical initiatives within the Payments team, collaborating with teammates and stakeholders across
Work across a diverse tech stack and programming languages
Brainstorm and shape features with product managers and peers, guiding decisions with your technical expertise
Work closely with customers to understand their needs and translate them into impactful payment solutions
Mentor and support fellow engineers
Dive deep into technical complexity to diagnose and solve production issues
Take initiative-if you see a way to make our systems or workflow better, own it and make it happen.

We are looking for a Senior Software Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.
Today, AI is central to how we operate, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.
If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.
Why should you join us?
This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, well build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art
AI and Agentic patterns.
This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving us from the AI experimentation phase to building and leveraging AI-powered products.
What you will be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes our vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard our value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across to accelerate AI adoption and productization efforts.

We are looking for a highly skilled and motivated Senior II Software Engineer to join the Operational Experience engineering team. The team is part of the Customer Experience group, which is responsible for the platform, tools, and customer-facing experiences that power how our customers interact with our ecosystem. This is a high-impact, hands-on role, in which youll be working closely with product managers, designers, customer-facing teams, and engineering partners across the company.
You will operate at the intersection of backend engineering, data-intensive systems, platform development, and customer experience. The ideal candidate brings strong expertise in Node.js and TypeScript, along with deep experience working with large-scale data stores, event-driven pipelines, data models, and high-throughput infrastructure. You will work closely with cross-functional partners to design and implement robust backend services, data-access patterns, and operational workflows that power the portal and internal tools. As we invest heavily in Agentic AI, you will also play a central role in shaping and implementing AI-driven capabilities across the platform. While the role is primarily backend, you will occasionally contribute across the full stack when it supports end-to-end delivery.
If you enjoy owning complex problems end to end, improving systems at scale, and building experiences that bring real value to customers, we would love to meet you.
What you'll be doing:
Drive technical direction and architecture within the OX team and across the broader CX organization. You will proactively identify opportunities to improve performance, resilience, cost, scalability, and developer experience, primarily in backend systems but with influence across the stack.
Lead the development of AI-driven and Agentic AI capabilities. Define how LLMs integrate into our platform, build AI-powered workflows, and establish strong engineering patterns for safe and reliable adoption.
Own and evolve the data foundations behind the portal. Optimize pipelines, improve data quality and freshness, and design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, MySQL, and related systems.
Work closely with product, design, customer-facing teams, and partner engineering groups. Turn ambiguous problems into clear execution plans and ensure alignment with customer and business goals.
Shape shared standards and platform best practices. Guide other teams on backend services, data integration patterns, portal development approaches, and AI-enabled workflows.
Mentor and elevate engineers across the CX group. Promote engineering excellence, share knowledge openly, and help teams adopt effective modern development practices.
Own delivery of high-impact initiatives. Contribute hands-on when needed, remove blockers, maintain execution momentum, and drive projects from concept to production.

We are looking for a Senior Software Engineer to join our Decision Engineering team. The group is responsible for the real-time, low-latency infrastructure that powers our fraud decisions and external APIs.
Our systems process billions of requests every day, ensuring high availability, security, and performance at global scale.
In this role, youll work on core backend components such as our decision engine, ingestion and enrichment pipelines, schema management systems, and self-serve API platform. The software you build will power critical business decisions and directly serve some of the worlds largest merchants.
This is a high-impact, high-ownership position for an engineer who thrives on solving complex distributed systems challenges, cares deeply about production-grade quality, and wants to shape the foundation of our decisioning platform.
What you'll be doing:
Design, build, and scale backend systems that power our real-time decisioning and APIs.
Own projects end-to-end - from design and implementation to production rollout and monitoring.
Ensure systems are low-latency, fault-tolerant, and high-throughput across distributed environments.
Enhance observability, reliability, and developer experience through strong operational and tooling practices.
Collaborate with Product, analysts, data scientists, and infrastructure teams to drive innovation across our decision ecosystem.
Participate in technical discussions and customer interactions, providing expertise and clear communication when supporting enterprise integrations.

We are looking for a Director of Engineering to lead our Intelligence Platform and internal AI transformation. As the Director of this group, you will drive the AI platform and adoption, and build the self-service analytics & ML platform which is a force multiplier to employees across the company.
AI and analytics are central to how we operate, across the entire organization. They power our decisions which are our business, and enable us to move fast and release features at a rapid pace, and provide the backdrop for much of the innovation currently occurring in the company.
This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future - including infrastructure for autonomous and interactive agents, AI guardrails and evaluation frameworks to ensure performance and safety, and state-of-the-art AI and Agentic patterns.
Why should you join us?
We are entering the most meaningful shift and outsized opportunity in its technological history - and you will be at the center of it.
Youll work directly with senior leadership, partner across departments, and shape the roadmap for internal platforms used daily by hundreds of employees - inside a company where data, ML, and engineering are truly the core of the business.
If youre energized by leading through ambiguity, shaping platforms from the ground up, delivering visible company-wide impact and creating leverage for an entire organization, this is an exceptional place to do your best work.
What you will be doing:
Drive AI transformation inside, designing the AI & agents platform that powers both internal and customer-facing solutions
Partner with leaders and teams across to accelerate AI adoption & business impact
Lead and grow multiple engineering teams (~15 engineers), driving the vision and strategy for our internal analytics, ML, and AI infrastructure.
Build and evolve high-scale, self-service platforms for research environments, model training, evaluation, and experimentation
Mentor and empower engineering managers, senior engineers, and future leaders

Required Fraud Analyst
Israel - Tel Aviv
About the role:
As a Fraud Analyst, you will be responsible for one of the most critical assets in the company: maintaining the accuracy, reliability, and performance of what is widely considered the leading e-commerce fraud decisioning system in the industry.
You will be expected to think analytically and creatively, constantly improving how we identify fraud and protect legitimate customers. Your work will focus on solving real and evolving business challenges faced by some of the worlds largest and most advanced online retailers. In this role, you will also have direct exposure to key customers, providing analytical insights and helping tailor solutions to their specific needs.
This position has strong technical and analytical depth, but prior coding experience is not required. We believe great analysts can learn the technical tools they need as part of the role through structured training and hands-on work. We hire across multiple levels and adjust the scope and level of ownership based on what we learn during the interview process.
You will join a dynamic, high bar department with a strong culture of excellence, curiosity, and ownership. We work in an informal and collaborative environment where people learn fast and ideas matter. The role offers meaningful growth opportunities, with clear paths toward both senior individual contributor and managerial roles, allowing you to shape your career based on your strengths.
Your work will directly impact our product, protect millions of customers, and help shape the future of trust in digital commerce.
What you'll be doing:
Design, implement, and continuously improve decisioning logic running in live production systems
Research complex fraud patterns, adversarial behaviors, and emerging threats
Analyze large scale datasets to extract actionable insights and improve decision accuracy
Develop and automate analytical processes to increase efficiency and scalability
Work closely with Data Science, Engineering, and other cross functional teams to drive platform improvements

We are looking for a Senior Backend Developer to join our engineering team. You will focus on developing and maintaining the server-side logic and infrastructure that power our innovative applications.

Who are you?
This is an opportunity to build foundational systems that directly impact how healthcare providers deliver care. Your work will power the platform that thousands of clinicians rely on daily, combining technical challenges with meaningful real-world impact.

How will you contribute?
Audio Processing Pipeline - Design and scale our audio processing infrastructure to handle high volumes with low latency and maximum reliability
LLM Integration & Production - Partner with Data Scientists to instrument, deploy, and operationalize Large Language Models in production environments
Backend Platform - Lead platformization efforts to create abstractions, tooling, and frameworks that elevate backend development across the organization
Modern Tech Stack - Build with Python, FastAPI, Kafka, and Airflow while helping shape our technical evolution
Company-Wide Initiatives - Drive high-impact projects that define product capabilities and technical direction

We are seeking a Senior Backend Engineer - Data Platform to join our expanding team and play a crucial role in designing, building, and maintaining robust and scalable data pipelines and infrastructure. In this role, you will directly enable data-driven decision-making and support the development and deployment of AI/ML products that power Health.

Youll collaborate closely with engineering, product, and data science teams to ensure our data systems are high-quality, resilient, and scalable as we grow. As a Senior Backend Engineer on our Data Platform team, you will drive efforts to deliver reliable, efficient, and consistent data services across the organization. You will also help enable the rapid development and deployment of advanced features, insights, and AI-driven capabilities that improve outcomes for clinicians and clients.

Who are you?
You are a seasoned backend or data engineer with experience working on production-grade ML/AI-powered products. You thrive in fast-paced, high-ownership environments and are passionate about building scalable and reliable systems. You understand the unique requirements of delivering AI/ML features in production, and you are comfortable working with modern technologies in the LLM/RAG ecosystem.
You pride yourself on delivering high-quality solutions quickly, without sacrificing design or reliability. Youre known for your responsiveness, collaborative spirit, and service-oriented mindset-especially when youre on-call and the stakes are high.How will you contribute?
Design, implement, and maintain scalable and reliable data pipelines and backend systems supporting both operational and analytical needs, with a focus on ML/AI product enablement.
Ensure data processing is optimized for speed, efficiency, and fault tolerance, enabling seamless integration with AI/ML workflows and reliable performance across all our Health products.
Monitor and improve uptime, reliability, and observability of our data infrastructure and pipelines.
Build and maintain systems to ensure data quality, consistency, and usability across the organization, enabling advanced analytics and AI solutions.
Work closely with product and engineering teams to deliver new features rapidly and with a high standard of technical excellence.
Drive innovation in how we build, measure, and optimize data features, backend services, and AI product integrations.
Participate in on-call rotations with a service-oriented approach and fast responsiveness.
Lead scalability efforts to support increasing data volumes, expanding AI/ML initiatives, and new product launches.

Today, more people than ever are speaking publicly about their mental health. Whether it's ourselves, our friends and family or even public figures, taking care of your behavioral health is no longer a taboo, it's vital, and it's only human.

we are on a mission to help deliver the world's most effective behavioral care through data, measurement, and personalization. Or simply put, we want to give clinicians the support they need to do the important work only they can do.

What is this opportunity?
At our company, we build a behavioral health CareOps automation platform that transforms therapy conversations into structured insights and clinical documentation. Our system uses advanced ML and LLM technologies to improve care quality, support therapists daily workflows, and reduce documentation time by over 50%.

As a Senior ML Infrastructure Engineer, you will design and build the infrastructure that powers our ML and LLM systems in production. You will develop scalable pipelines, systems, and tools that enable data scientists and AI teams to efficiently develop, test, and deploy models.
Working closely with data scientists, engineers, and product teams, you will ensure our ML capabilities are reliable, scalable, and production-ready-helping bring cutting-edge AI to improve mental health care.
This is a unique opportunity to join a startup with a real impact on thousands of peoples wellbeing and mental health, applying cutting-edge AI technologies to solve meaningful human problems.

How will you contribute?
Design and build infrastructure and backend services supporting ML and LLM systems

Develop and maintain ML training and deployment pipelines

Build tooling that enables model experimentation, versioning, and reproducibility

Implement CI/CD pipelines for ML workflows and model deployment

Support LLM deployment, prompt management, and optimization pipelines

Improve reliability, monitoring, and observability of ML systems in production

Collaborate with data scientists to productionize models and research prototypes
Ensure secure and compliant handling of sensitive healthcare data

Were looking for a Data Scientist to join our R&D department!
Why is this role so important at our company?
we are a data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist in our company, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights.
So, what will you be doing all day?
Your daily responsibilities may include:
Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use

Were looking for a talented Embedded SW Engineer to join our innovative team. As a member of our team, you will be responsible to innovate, design and implement embedded software in C/C++ for our chipset.
Responsibilities
Design, implement and optimize the embedded software driving our chipset (drivers, middleware and application layer)
Collaborate with System architecture and Hardware groups to deliver quality system solutions
Optimize code for memory usage, performance, and power efficiency
Ensure compliance with Safety and Industry standards

The SaaS and AI Security field is complex and challenging. Therefore, we're looking for super-talented people, who are not afraid of technical challenges and breaking down barriers to achieve good solutions.

About the Role
We are looking for an experienced full-stack team lead to join our R&D organization, lead the design and development of large-scale, data-oriented applications.
In this role, you will manage a talented team of full-stack engineers while remaining hands-on and technically involved in building our core SaaS security platform.
You will play a key role in shaping system architecture, driving technological innovation, and ensuring the delivery of robust and scalable solutions in a fast-paced, dynamic environment.

Key Responsibilities
Lead and mentor a team of full-stack engineers, guiding them in design, development, and delivery of complex projects.
Drive the architecture and implementation of data-centric applications using modern technologies and cloud infrastructure.
Lead a fast-moving development team, ensuring strong execution and teamwork in a dynamic environment
Collaborate with QA, Product, Design, and DevOps teams to ensure system scalability, reliability, and performance.
Conduct code reviews, enforce best practices, and foster a high-quality engineering culture.
Research and integrate new technologies to overcome technical challenges and improve productivity.
Own full project lifecycle, from requirement gathering and design to deployment and monitoring in production.

Required Senior Software Engineer
About the role:
As a Senior Software Engineer on the Data Platform, youll be part of one of our most strategic engineering groups, tasked with building the core data ingestion and processing infrastructure that powers our entire platform. The team is responsible for handling billions of cloud signals daily, ensuring scalability, reliability, and efficiency across our architecture.
Youll work on large-scale distributed systems, own critical components of the cloud security data pipeline, and drive architectural decisions that influence how data is ingested, normalized, and made available for product teams across. Were currently in the midst of a major architectural transformation, evolving our ingestion and processing layers to support real-time pipelines, improved observability, and greater horizontal scalability, and were looking for experienced engineers who are eager to make foundational impact!
Our Stack: Python, Go, Rust, SingleStore, Postgres, ElasticSearch, Redis, Kafka, AWS
On a typical day youll:
Write clean, concise code that is stable, extensible, and unit-tested appropriately
Write production-ready code that meets design specifications, anticipates edge cases, and accounts for scalability
Diagnose complex issues, evaluate, recommend and execute the best solution
Implement new requirements within our Agile delivery methodology while following our established architectural principles
Lead initiatives end to end from design and planning to implementation and deployment, while aligning cross-functional teams and ensuring technical excellence
Test software to ensure proper and efficient execution and adherence to business and technical requirements
Provides input into the architecture and design of the product; collaborating with the team in solving problems the right way
Develop expertise of AWS, Azure, and GCP products and technologies.

As a Data Analyst, you will work with multiple stakeholders - Product Managers, Data Engineers, Software Engineers, Data Scientists and more, to help us make more from our data.

Our mission is to empower security teams to safeguard their SaaS-Identity risk landscape. our company discovers and classifies risk across SaaS and web apps, uncovering risk prone identities and accounts to close security gaps, prioritize access controls, and achieve continuous SaaS and identity compliance.

Responsibilities:
Take part in our features development process - building warehouse models and writing our data catalog.
Leading long term research to provide innovative insights for our product.
Define and implement data processing and operative workflows.
Work with relevant stakeholders to define how our system should be monitored and how root causes of underperformance can be identified.
Contribute to a culture of learning and knowledge-sharing within the team.