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If youre the one - youll be working on the most incredible sales-assistant in the industry.

The Solution Engineer will be the primary technical sales resource for our regional sales team and will assist in identifying customer challenges and driving technical alignment between customer needs and the solutions. You will serve as a product and industry expert, effectively describing and demonstrating our solution as well as promoting our vision and approach. You will be a trusted point of contact for our customers while advancing the sales process.

At the same time, you will be a liaison to the engineering team to drive the direction of the product. The ideal candidate will have previous work experience as a member of a corporate sales team and a career track record of supporting large and complex enterprise sales.

What You Will be Doing

Work with the sales team as well as partners to drive Enterprise business
Manage customer requirements, expectations, and solution buy-in
Build customers confidence and awareness in our products/solutions
Manage, deliver, and present detailed responses to industry RFPs
Train and certify resellers and partners
Present at Conferences and Seminars
Support proof of concepts, implementations and installs as needed to successfully satisfy customer requirements

we are looking for a Experienced Backend Engineer.
were building a machine learning based software that helps sales and business-development professionals push the deal forward and convert more prospects into clients.
As a full-stack engineer, youll play a key role in our expanding core technology team.

We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.



What will you do

You will join a team of experienced engineers and help them in developing our innovative Classification products.

You will lead projects by architecting, designing and implementing solutions that will impact the core components of our system.

Youll develop new and awesome features while leveraging cloud native technology stack, do continuous improvements of our development process by adapting new technologies, and using them to solve product and engineering challenges while raising the bar of code quality and standards.

What you will do
You will lead a team of experienced Data Scientists while remaining deeply involved in the technical work.

This is a hands-on leadership role (~70% hands-on) combining direct modeling work with ownership of team direction and execution.

You will work on core systems that operate at a massive scale, where:

Data is abundant, but labels are scarce and expensive

problems are long-tail and ambiguous

Systems must meet strict latency and cost constraints (pre-bid)

Your responsibilities include:

Lead development of content classification systems across social platforms (Meta, TikTok, YouTube), web, and apps

Design and build models across computer vision, NLP, and multimodal pipelines

Own the full lifecycle: data selection -> labeling strategy -> training -> evaluation -> deployment

Develop strategies for efficient data curation and labeling (active learning, auto-labeling, sampling under scale)

Improve model quality (precision/recall) while balancing cost, latency, and scale

Drive automation systems (auto-labeling, auto-curation, retraining loops)

Apply modern AI approaches (LLMs, embeddings, foundation models) to real production problems

Lead and mentor a team of senior Data Scientists, setting technical direction and pushing execution forward

Work closely with ML Engineering, Product, and Policy to translate ambiguous requirements into scalable systems

we are looking for a Full Stack Developer.
Responsibilities:
Help design, develop, and maintain the front- and backend architecture of our platform.
Participate in end-to-end development, from design through deployment.
Develop new features and infrastructure to support emerging business and project requirements.
Research and integrate advanced technologies to improve system scalability and reliability.
Develop server-side logic and applications.
Ensure application performance, uptime, and scalability, and maintain high standards for code quality and application design.

we are looking for a QA Engineer.
This position will be based in our office in Israel (Airport City), reporting to Manager QA.
The role:
Participate in testing initiatives across multiple projects within the Robotix Mentor platform
Work closely with development teams to implement testing strategies and maintain quality standards
Execute complex testing scenarios for multidisciplinary products (hardware, software, algorithms)
Create and execute detailed test plans covering software requirements and system integration
Analyze testing results, document issues, and work with development teams toward resolution

we are looking for a QA Engineer (Angio Team).
This position will be based in our office in Israel (Airport City), reporting to QA Manager.
The role:
Participate in testing initiatives across multiple projects within the Ultrasound Mentor platform
Work closely with development teams to implement testing strategies and maintain quality standards
Execute complex testing scenarios for multidisciplinary products (hardware, software, algorithms)
Create and execute detailed test plans covering software requirements and system integration
Analyze testing results, document issues, and work with development teams toward resolution

We are a global, multi-national team looking for a C++ Software Developer, who wants to join our journey of developing state-of-the-art surgical training simulators.
This position will be based in our office in Israel (Airport City), reporting to Team Leader.
Job summary:
With your C++ skills you will be creating realistic simulations in a global, distributed team.
Together with your team you will be enabling efficient training of healthcare professionals.
With our team, you will be working with leading medical manufacturers in shaping the future training of healthcare professionals.

we are looking for a Software Principal Engineer.
Key Responsibilities :
As a Principal Software Engineer, you will:
Design, develop, and own complex software features - from requirements and design through implementation, testing, and long-term support.
Build high-performance datapath software on SPDK, integrating emerging drive, enclosure, and protocol technologies.
Own performance analysis of the storage software data path - including queueing behavior, CPU efficiency, memory usage, PCIe bottlenecks, and latency behavior.
Work closely with architecture, hardware, and software teams on HW/SW interface definition.
Experiment with and integrate emerging AI tools into the development workflow to boost productivity and innovation.
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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 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.

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.