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we are looking for a SQA Engineer to join our team!

Key Responsibilities:

Design, develop, and maintain automated tests for embedded products using C# and NUnit.
Execute manual and automated test plans, analyze results, and report defects.
Prepare and maintain test documentation, including STP, STD, and STR.
Investigate, reproduce, and track software defects through resolution.
Collaborate closely with R&D, software developers, and cross-functional teams to ensure product quality.
Participate in test planning, design reviews, and quality improvement activities.
Support continuous improvement of QA processes, methodologies, and automation frameworks.
Report to the SQA Team Leader.

we are looking for a Product Manager- Data & ML.
As a Product Lead - Data & ML, you will be responsible for defining and delivering data-management and AI/MLOps capabilities within a data-intensive platform. You will work with cross-functional engineering, architecture, and external partner teams to drive advanced data and machine learning solutions that power enterprise-grade products.
You will:
Lead the full product lifecycle- from ideation and prioritization to design, planning, and delivery of AI/ML and data platform capabilities
Define requirements and translate complex business needs into scalable product features in collaboration with engineering and architecture teams
Drive MLOps and data platform initiatives, ensuring high-quality, production-ready solutions
Collaborate with external clients and partners to deliver best-in-class solutions and align on product vision

We are seeking a hands-on and experienced Sales Operations leader to drive and optimize our end-to-end order-to-delivery process. This role combines team leadership, operational excellence, forecasting, reporting, and process ownership while working closely with sales, logistics, finance, and global stakeholders.

Key Responsibilities:

Lead and actively participate in daily Sales Operations activities, including quotations, order management, bookings, shipments, and delivery execution.

Own and manage sales forecasting processes (bookings and revenue), identifying risks, gaps, and opportunities.

Lead and manage the Israel-based Sales Operations team while maintaining a hands-on approach to daily operations.

Ensure data accuracy, governance, and consistency across Salesforce and related systems.

Develop and enhance reporting, analytics, and performance measurement frameworks.

Drive process improvements, automation, and standardization initiatives.

Maintain operational policies, procedures, and training materials.

Ensure SLA compliance and operational excellence across sales operations processes.

Lead Salesforce optimization and enhancement projects to support business growth.

We are looking for an OCC Monitoring Specialist to join our fast-growing OCC Monitoring team. Reporting to our OCC Monitoring Team Leader, you will be responsible for monitoring the infrastructure, applications, and business aspects of the company. We provide the opportunity to become acquainted with the inner workings of the exciting world of Fintech and online payments.

This position doesn't include a hybrid mode; it only involves working from the office.
We work in 24/7 shifts: 08:00 to 17:00, 17:00 to 00:00, 00:00 to 08:00, including weekends and holidays.


Responsibilities

Responding to events and various technical problems in real-time
Monitoring and liaising activities of the production environment, maintaining the company's monitoring systems, network, business transactions reports, and data analysis regularly
Tracking the events until problems are resolved, contacting the relevant parties in the organisation as needed
Data analysis and fault investigations

We are looking for a Senior Enterprise Architect - Core Payments Processing to join our Architecture team. Reporting to the VP of Architecture, you will play a key role in shaping and delivering the architecture of next-generation payment processing platforms.

In this role, you will be responsible for designing and guiding the implementation of highly scalable, resilient, and secure transaction-processing systems supporting global payment operations. You will work closely with Product, Engineering, DevOps, Security, and Data teams to translate complex business requirements into robust technical solutions.

This role requires deep experience in real-time distributed systems, fintech/payment platforms, and modernization of large-scale systems, as well as the ability to influence cross-functional teams and ensure architectural integrity throughout delivery.

You will help evolve platform by balancing long-term architecture strategy with pragmatic delivery, enabling the company to scale its global payment capabilities while maintaining reliability, compliance, and operational excellence.

Responsibilities

Lead architecture design for complex payment processing initiatives across core platform.
Translate product and business requirements into scalable and resilient architecture designs, covering functional and non-functional requirements such as performance, availability, security, and compliance.
Drive the architecture of real-time distributed systems supporting payment authorization, transaction routing, and processing flows.
Guide engineering teams in implementing architecture decisions and ensure adherence to architectural standards throughout development and delivery.
Define integration patterns and service boundaries across microservices and platform components.
Contribute to modernization initiatives, including decomposition of legacy systems, migration strategies, and evolution toward cloud-ready architectures.
Collaborate with cross-functional teams (Product, Engineering, DevOps, Security, Data) to ensure solutions are aligned with business goals and technical strategy.
Participate in architecture reviews, design governance, and technical decision-making across the organization.

Join us as a Tech Lead - Full Stack on our Software Engineering team in Glil Yam to do the best work of your career and make a profound social impact.
What you'll achieve
As a Tech Lead - Full Stack, you will be responsible for leading the design, development, and evolution of data orchestration modules and AI-driven applications. You will work closely with engineering, data, ML, and GenAI teams to build scalable, reliable, and high-performing systems that drive business impact and innovation.
You will:
Lead the technical design and implementation of data-intensive, AI-powered applications and platform capabilities.
Own end-to-end development across the technology stack, driving architecture, code quality, and engineering best practices.
Collaborate with software engineers, data scientists, and ML engineers to deliver scalable and reliable solutions.
Troubleshoot and resolve complex production issues across multiple domains and services.
Drive technical excellence through hands-on development, code reviews, mentoring, and continuous improvement initiatives.

We are looking for a motivated Junior Salesforce Developer (1-2 years of experience) to join Business Automation team. This role is an excellent opportunity for someone looking to grow their Salesforce development career while working on enterprise-scale projects, integrations, and business process automation initiatives across multiple departments.

Responsibilities

Develop and maintain Salesforce solutions using Apex, Lightning Web Components (LWC), and Flow.
Configure and customize Salesforce objects, fields, page layouts, validation rules, and automation.
Support integrations between Salesforce and internal/external systems.
Assist in troubleshooting production issues, bugs, and user-reported problems.
Collaborate with Salesforce Administrators, Business Analysts, and business stakeholders to deliver efficient solutions.
Participate in testing, deployment, and release management activities.
Follow Salesforce development best practices, coding standards, and security guidelines.
Document technical designs, configurations, and development work.

As an AI Product Owner & AI Process and Agentic Designer, you will own the process of transforming complex workflows into scalable AI solutions, bridging the gap between business stakeholders and AI Engineers. You will lead business process analysis, identify agentic process opportunities, validate business value, and define solution designs that enable successful AI implementation across the organization.

Responsibilities

Business Process Analysis & Discovery
Partner with business stakeholders to map, document, and analyze existing workflows, identifying inefficiencies, bottlenecks, and manual processes ripe for automation.
Conduct discovery sessions and workshops to deeply understand business needs, pain points, and success criteria across departments.
Agentic Opportunity Identification
Evaluate workflows to pinpoint where agentic and AI-driven approaches can deliver the most value, distinguishing tasks suited to automation, augmentation, or full agentic orchestration.
Maintain a prioritized pipeline of AI/agentic opportunities, assessing each for feasibility, complexity, and impact.
Business Value Validation
Define and quantify the expected business value of proposed solutions (e.g., cost savings, time reduction, quality improvement, revenue impact) and build the business case for investment.
Establish success metrics and KPIs, and track realized value post-implementation to ensure outcomes match projections.
Solution Design & Definition
Translate business requirements into clear solution designs, including agentic process flows, decision logic, data inputs/outputs, integration points, and human-in-the-loop checkpoints.
Define guardrails, escalation paths, and fallback behaviors to ensure solutions operate safely and reliably.
Stakeholder & Engineering Bridging
Serve as the primary liaison between business stakeholders and AI engineers, translating business intent into technical requirements and engineering constraints back into business terms.
Own the product backlog, prioritize features, and clearly communicate scope, trade-offs, and timelines to all parties.
Implementation Enablement & Iteration
Guide solutions through the full lifecycle from concept to deployment, supporting testing, validation, and change management.
Gather feedback, monitor performance, and drive continuous refinement of deployed AI and agentic solutions.
Scalability & Standardization
Identify reusable patterns, components, and best practices to scale successful solutions across the organization.
Contribute to governance frameworks, documentation standards, and design principles for AI/agentic product development.

we are seeking an experienced and visionary ML Engineer to join our dynamic technology organization. The successful candidate will be a part of a team of talented AI Engineers, Building agentic AI solutions, driving innovation and delivering business value through advanced Generative AI solutions & machine learning techniques. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge Gen AI and LLM methodologies and a passion for continuous learning and development.

Responsibilities

Build the solution: Own end-to-end technical delivery of agentic systems, from source-system integration through agent design, development, evaluation, and production deployment.
Integrate AI systems with source systems (Salesforce, Databricks, Splunk, internal APIs, business applications). Handle agent harness and orchestration.
Handle the operational handover to the business function and any necessary support transition.
Collaborate across teams: Partner closely with data engineering, platform, security, and business teams to align on requirements, dependencies, and integration points.
Engage stakeholders: Gather requirements directly from business functions, communicate technical trade-offs clearly, and keep stakeholders informed on progress, risks, and timelines.
Uphold quality and reliability: Establish and maintain best practices for code quality, testing, evaluation, monitoring, and observability of deployed AI systems.
Contribute to the team's technical growth through knowledge-sharing and help shape engineering standards and reusable patterns.
Stay current: Continuously evaluate emerging Gen AI, LLM, and agentic frameworks, and recommend tools and approaches that improve delivery speed and solution quality.

We are looking for a Senior Full Stack Developer to join our fast-growing team. You will report to the Full Stack Team Leader and play a key role in contributing to our teams ongoing success and growth.



Responsibilities

Design, develop, and maintain high-performance web applications using React and TypeScript, incorporating advanced AI features into the user experience.
Building and optimizing robust backend APIs to support payment workflows, including multi-agent state management and LLM lifecycle governance.
Collaborate cross-functionally with product managers, architects, DevOps, and UX/UI designers to translate business requirements into comprehensive, scalable solutions.
Drive development efficiency by leveraging AI-assisted tools to improve code velocity, consistency, and overall system reliability.

we are leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io At Artlist, we are pioneering a modern, AI-native approach to product analytics. We are looking for an ambitious Product Analyst to join us as a strategic partner and builder. In this role, you will leverage cutting-edge AI tools to amplify your impact, blending sharp product intuition with modern workflows to help shape our Product Strategy. You will spend your time tackling high-level business questions, establishing reliable metric frameworks, and building the systems that enable our product teams to move at lightning speed. Wake Up For This
* Leverage AI Tools such as Claude and Cursor: Use AI tools like Claude and Cursor as your daily co-pilots to write logic, process data rapidly, and prototype lightweight internal analytical tools.
* Act as a Strategic Advisor & Builder: Partner closely with product leaders to frame critical business questions, design evaluation frameworks, and guide high-level Product Strategy.
* Drive High-Level Product Analytics: Uncover overarching user behavior patterns, evaluate core conversion performance, and turn big-picture insights into actionable product opportunities.
* Establish Metric Definitions & Context: Define clear business logic, data dictionaries, and context files so that both human teams and AI assistants rely on a trusted single source of truth.
* Enable Speed & Self-Service: Design smart analytical frameworks that empower product teams to answer routine questions effortlessly, freeing you to focus on high-impact, strategic initiatives.

The role offers significant business impact, transforming complex challenges into scalable AI-powered products and solutions used in large-scale production environments. Key Responsibilities: Lead the end-to-end architecture, design, development, and deployment of advanced Generative AI applications, including Multi-Agent Systems and Retrieval-Augmented Generation (RAG) solutions. Design and optimize RAG pipelines, integrating Large Language Models (LLMs) with structured and unstructured data, including Knowledge Graphs and Vector Stores. Build, manage, and automate Generative AI solutions using AWS services, including Bedrock, S3, SageMaker, Lambda, and Step Functions. Lead Proof of Concepts (POCs) and evaluate emerging GenAI technologies and products to identify the most suitable solutions for business needs. Integrate AI solutions with existing enterprise systems using APIs and Microservices. Collaborate with data Engineers, Analysts, and Product Managers to translate business requirements into scalable and practical AI solutions. Implement advanced MLOps processes, including CI/CD, Docker, and monitoring solutions, to ensure the reliability, scalability, and maintainability of AI applications.