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Were hiring an AI Engineer for our AI Core team to build and scale AI across products and workflows, from agentic document understanding to multi-agent systems and ML solutions. This is a hands-on, cross-functional role where youll prototype quickly, build robust evaluations, and ship production-grade AI with measurable business impact.
What youll do:
Build and ship AI/ML solutions using LLMs, agents, retrieval patterns (RAG), and document understanding models, alongside classic ML (classification, ranking, time-series).
Prototype and iterate quickly: turn ideas into high-quality POCs, validate feasibility, and evolve them toward production.
Shape technical direction and evaluate models and approaches using clear benchmarks, metrics, and real-world impact measurement.
Research and apply emerging techniques, e.g., multimodal/document AI, agentic frameworks, synthetic data generation, and architectural approaches.
Partner closely with product, engineering, and domain experts to identify opportunities and deliver end-to-end solutions.
Help shape scalable, secure architecture and best practices for AI delivery.
Location: Herzliya | Hybrid work model

We are looking for a motivated Data Engineer to join our growing Data team. This is an exciting opportunity to be part of a core group responsible for building, maintaining, and scaling our data platform, while working closely with Product, Engineering, and business teams.
You will play a key role in developing reliable data pipelines, ensuring data quality and consistency, and enabling data-driven decision-making across the organization.
Responsibilities:
Design, build, and maintain data pipelines and data models to support analytics and reporting needs
Work with structured data across databases, data lakes, and data warehouses
Write efficient and maintainable SQL and Python code for data transformation and validation
Ensure data quality, consistency, and basic data lineage across systems
Collaborate with Product, Engineering, and business stakeholders to understand data requirements
Support dashboards and reporting tools by providing clean, well-modeled data
Contribute to improving data standards, documentation, and best practices

We are seeking a Product Manager with deep expertise in the payments industry You will integrate AI to address challenges in process automation, streamline billing and invoicing processes, and develop flexible pricing models. Your goal will be to enhance the efficiency, accuracy, and scalability of our financial processes, ensuring they meet customer needs and support business growth.
You will collaborate closely with stakeholders from legal, finance, compliance, sales, and finance operations to ensure alignment and success.
You will:
Bring a data-driven mindset to setting goals and milestones for finance-related products, leveraging AI to inform decisions.
Conceptualize and analyze different parts of our infrastructure and how they interrelate.
Create bold, game-changing ideas and deliver solutions for customer problems in the finance domain.
Elicit non-obvious customer needs and synthesize research to gain a deep understanding and narrow definition of a problem.
Co-create with teammates to deliver high-quality results and communicate with clarity.
Comfortable getting into deep technical discussions with engineers about the pros and cons of different approaches.
Automate manual finance processes and streamline distributed workflows.
Establish a Single Source of Truth (SSoT) for finance data and design flexible pricing models.
Develop customer-specific invoice settings and enhance invoice consolidation.
Implement monitoring tools for observability and proactive issue resolution.
Collaborate closely with stakeholders from legal, finance, compliance, sales, and finance operations to ensure alignment and success.

Designs, develops, troubleshoots and debugs software programs for enhancements and new products. Develops software and tools in support of designs. Analyzes, designs, programs, debugs, and modifies software enhancements and/or new products used in local, networked, cloud-based or Internet-related computer programs. Using current programming language and technologies, writes code, completes development, and performs testing and debugging of applications.

Your Opportunity:
Expertly implements designs using modern programming practices.
Obsessed with quality.
Eager to learn.
Should lead/drive software development initiatives.
Participates in/leads design.
May perform other duties and responsibilities that management may deem necessary from time to time.

Required QA Engineer
As a QA Engineer, you will:
Lead technological projects, in system and quality aspects
Design detailed, comprehensive and well-structured test plans and test cases
Identify, document and manage bugs life cycle
Work closely with research, product, dev, DevOps and program managers to meet project timeline.

Required Software Intern (Malshab)
As a Software Intern (Malshab), you will:
Take a central role in advancing the features and infrastructures of one of our core products
Collaborate closely with multiple teams to analyze, develop and implement new workflows and features
Troubleshoot and debug complex flows while finding and implementing creative solutions.

we are looking for a Engineering Team Lead .
As an Application Infrastructure Team Lead, youll spearhead the development of the core frameworks and services that power our entire ecosystem. In this role, youll sit at the vital intersection of application development and systems engineering, ensuring our platform remains resilient, high-performing, and developer-friendly as we scale.
If you are a technical heavyweight who loves Java but thrives on leading teams through complex data and infrastructure puzzles, this is your opportunity to build the foundation for our next phase of growth.
Youll Own:
Team leadership & mentorship: Guiding a high-performing engineering team and fostering a culture of ownership and excellence.
Core application infrastructure: Designing and maintaining mission-critical frameworks using Java and Spring Boot.
Technical standards: Defining and enforcing the benchmarks for code quality, system performance, and security across the entire stack.
Streaming & messaging pipelines: Owning the reliability and scalability of asynchronous communication using Kafka or SQS.
Youll Solve:
Data layer optimization: Leading specialists to tackle challenges in high availability and performance across PostgreSQL, MongoDB, OpenSearch, and Redis.
Distributed systems complexity: Designing robust pipelines for asynchronous communication and data streaming at scale.
Architecture gaps: Bridging the gap between DevOps and Product teams to align infrastructure capabilities with evolving business needs.

Required Full Stack Developer
As a Full Stack Developer, you will:
Develop the next generation features of the main backend services of various Company products
Design and develop high-volume, low-latency and scalable product
Partner closely with product managers, project managers and architects to align technical execution with business goals
Own features from requirements through design, implementation, testing, deployment and production support
Write well-designed, testable (unit/integration/component testing), secured and efficient code.

Required Low-Level Developer
As a Low Level Developer, you will:
Play a central role in advancing the features and infrastructures of one of our security products
Lead features, end to end, from concept and design to production
Collaborate closely with multiple teams to analyze, develop and implement new workflows and features
Troubleshoot and debug complex flows
Find and implement creative solutions to technical challenges.

We're on the lookout for a Senior Product Manager who's ready to dream big, lead boldly, and make an incredible impact on both our product and the businesses that rely on it.

Speed is table stakes now. AI handles a lot of the execution. What we're hiring for is judgment: the product sense to know what's worth building, the taste to know when something isn't good enough yet, and the conviction to make the call. We're not looking for someone who only manages backlogs and writes specs. We're looking for someone who uses AI as a genuine force multiplier, building prototypes, compressing research cycles, and moving from idea to evidence faster than most teams move from idea to meeting.


As a Product Manager, you will:
Decide what to build, and what not to. You'll set direction on the roadmap with conviction, backed by customer understanding and sharp product instincts.
Play a key role in defining and building a new strategic product, getting in early enough to shape its direction, positioning, and core experience.
Work with R&D, Design, Business, and Customer Experience teams to validate, launch, and iterate.
Build your own prototypes and POCs using AI tools to validate assumptions before engineering cycles begin, reducing waste and increasing the quality of what gets built.
Use AI natively throughout your workflow
Analyze user behavior, performance, and trends, going beyond dashboards to surface non-obvious insights and translate them into product decisions that move the needle.
Gather and integrate insights from customers to guide the product development process and validate key decisions.
Oversee everything from backlog management and feature prioritization to release planning and ongoing iterations, without losing sight of the bigger picture.
Maintain expertise on the latest trends, technologies, and best practices to ensure stays at the forefront of innovation.

We are seeking a talented and experienced QA Engineer to join our R&D team - an exciting opportunity for someone passionate about software quality, automation, and modern testing strategies.

As a key member of our team, you will work closely with developers, product managers, and designers to ensure the highest quality of our web applications. If you thrive on ensuring software excellence, collaborating across teams, and driving continuous improvement - including leveraging AI tools to enhance both manual and automated QA processes, wed love to hear from you!

As a QA Engineer , you will:
Perform hands-on testing of new features (manual validation, exploratory testing, regression testing) to ensure they meet our quality standards.
Develop, maintain, and execute automated tests using Playwright testing frameworks.
Use AI tools to improve QA workflows
Write comprehensive QA documentation, including test plans, test cases, test results, and bug reports.
Work cross-functionally with developers, product managers, and designers to ensure quality throughout the development lifecycle.
Identify, document, reproduce, and track bugs - and validate fixes.
Contribute to the continuous improvement of QA methodologies, including AI-assisted testing processes.

Required Technical Support Engineer
As a Technical Support Engineer, you will:
Provide our clients support and technical solutions, both remotely and at the client sites abroad
Track open support tickets and ensure they are handled until resolution
Analyze and resolve operational and technical issues raised by the client
Perform production system and infrastructure upgrades.

We are looking for a Product Analytics Team Lead, a strategic leader who lives at the intersection of data integrity and people development, dedicated to transforming raw metrics into a sophisticated analytical engine.
In this role, you will act as the guardian of our analytical standards while remaining deeply immersed in the data, ensuring our insights are as precise as they are influential.
Youll Own:
The Quality Bar: Defining, implementing, and continuously improving standards, methodologies, and best practices for product analytics.
Team Growth & Mentorship: Leading, mentoring, and growing a team of product analysts through hands-on coaching and career development.
Analytics Procedures: Creating and maintaining procedures that ensure data consistency, accuracy, and business relevance.
Hands-on Execution: Personally leading complex analyses, exploratory investigations, and high-impact deep dives.
Youll Solve:
Data Consistency & Accuracy: Fixing gaps in analytics procedures to ensure every insight is reliable and actionable.
Data Modeling Challenges: Working with engineers and product managers to ensure the right data is generated, collected, and modeled correctly.
Analytical Complexity: Tackling high-impact deep dives and investigations that require a hands-on, expert approach.

We're looking for a Customer Support Engineer who has a passion for helping customers to join our support team and get the most out of our product.

In this role, youll be the point of contact for our customers, responsible for solving problems and ensuring they have the best experience with our product and our team.

We're looking for someone energetic, tech-savvy, who has high-level English and superb interpersonal skills.

** The position is full-time and requires the availability to work up to two evenings a week and 2 weekend shifts per month (Friday morning / Saturday Night).**

As a Customer Support Engineer , you will:
Be in charge of our customer happiness and deliver amazing service.
Become a product expert who knows the ins and outs of what has to offer by helping our customers maximize the value they receive from us.
Proactively identify opportunities and optimization points to help our customers grow.
Represent the customer voice internally in Product, Marketing, and Business Development discussions.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI , covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 3-4 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.