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We are looking for a Sales Engineer to join our Sales Engineering team and play a key role in supporting our global sales organization. This is a customer-facing technical role that combines cybersecurity expertise, intelligence analysis, communication, and solution consulting.

This position is based in Israel and operates primarily on US working hours. Occasional international travel, primarily to the US, is required.

What Youll Be Doing:

Partner with the Sales team throughout the sales cycle to understand customer needs and demonstrate how KELAs solutions address their cybersecurity challenges.
Develop and deliver compelling product demonstrations tailored to prospective customers and their specific use cases.
Scope, coordinate, and deliver Proofs of Concept (PoCs) for prospective customers, ensuring successful technical evaluation and value demonstration.
Translate complex cybersecurity and intelligence concepts into clear, compelling business and technical value for customers.
Support global sales activities, including customer meetings, technical discovery sessions, presentations, and solution discussions.
Collaborate closely with Sales, Customer Success, Product, Research, and other internal teams to ensure a seamless customer experience.
Support marketing activities by participating in trade shows, conferences, webinars, and other industry events.
Develop and maintain technical enablement and support materials for the Sales team.
Stay up to date with cybersecurity trends, threat intelligence, and the evolving needs of security teams and organizations.

We're looking for an AI Researcher to help design and enhance core intelligence capabilities. You'll work at the frontier of large language models and conversational AI - run experiments, develop novel techniques, and transform research breakthroughs directly into product impact. This is a role for someone who wants to research real-world challenges and ship to production: you'll be pushing the state of the art in domains like conversational dynamics, speech understanding, and agentic question answering, while seeing your work reach millions of language learners.
What You'll Do:
Drive original AI research across LLMs, dialogue systems, speech, and language understanding - from hypothesis through design and all the way to deployment
Design and run rigorous experiments; develop novel model architectures, fine-tuning strategies, and training methodologies
Own the full research lifecycle - ideation, experimentation, evaluation, and deployment into production
Apply and extend state-of-the-art techniques (RL, instruction tuning, RAG, agentic workflows, multimodal models) to real user-facing challenges
Collaborate with engineering and product to transform research findings into shipped features
Define research direction in your area and contribute to long-term AI roadmap

We are looking for a Backend Engineer with deep data engineering expertise to build and evolve the systems that power product, analytics, experimentation, and AI development.
You will work across production backend services and data infrastructure, taking technical ownership of the full data lifecycle - from event ingestion and real-time processing to orchestration, modeling, quality, and reliable data access. This role combines hands-on backend development with ownership of shared data platform, working closely with backend, frontend, AI, DevOps, analytics, and product teams.
What you'll do:
Build and maintain production-grade Python and Java backend services, APIs, and reactive data-processing pipelines with clear interfaces, resilient failure handling, and comprehensive observability.
Own and evolve batch and streaming data pipelines supporting product analytics, learner insights, experimentation, and AI model training.
Design and maintain trusted data models, shared metrics, and semantic-layer business logic across the analytical data platform.
Define and enforce standards for data contracts, testing, lineage, freshness, and observability.
Develop reliable approaches to schema evolution, backfills, replay, workload distribution, and failure recovery.
Collaborate with DevOps, backend, frontend, AI, analytics, and product teams to deliver reusable data capabilities and maintain clear system boundaries.

We're looking for a Frontend Engineer to build our Web products. The web is a first-class product surface for us, powering our core AI English learning product, Business dashboards, and user acquisition initiatives. You'll own features end-to-end, from Figma to shipped, performant UI, collaborating closely with design, product, and non-technical stakeholders.
What you'll do:
Build and ship core product features across our core AI English tutor web experience alongside to acquisition funnels, dashboards, SEO and our company site
Turn Figma designs into clean, accurate, responsive UI
Extend and improve our internal component library
Partner directly with designers, PMs, and non-technical stakeholders to shape and refine features
Continuously improve web and mobile-web performance - load time, rendering, bundle size
Own test coverage for the features you build
Make technical tradeoffs independently and drive decisions in your area
Incorporate AI/agentic coding tools into your day-to-day workflow

we are looking for a Senior DevOps Engineer with deep AWS expertise and strong hands-on experience with Kubernetes, GitOps, and Infrastructure as Code.
In this role, you will design, automate, and scale secure, highly available infrastructure and CI/CD pipelines supporting flagship product. Beyond hands-on engineering, you will play a key role in shaping platform architecture, driving DevOps best practices, mentoring engineers, and continuously improving the reliability, scalability, and efficiency of our production environments.
Responsibilities:
Architect and manage secure, scalable, and highly available AWS environments, including multi-account and multi-region architectures.
Design and implement GitOps-driven CI/CD processes using ArgoCD, Argo Workflows, GitHub Actions, and related tooling.
Lead Infrastructure as Code (IaC) practices using Terraform and additional technologies such as Pulumi and Crossplane.
Build, operate, and maintain production-grade Kubernetes (EKS) environments, including Helm-based deployments and cluster lifecycle management.
Automate infrastructure provisioning, application deployment, and operational workflows across development, staging, and production environments.
Drive DevSecOps practices, including security scanning, secrets management, and compliance automation.
Establish and continuously improve monitoring, logging, and observability using tools such as Datadog, Prometheus, Grafana, and OpenTelemetry.
Partner closely with development teams to enable seamless application integration and rapid, reliable software delivery.
Optimize infrastructure for scalability, resilience, performance, and cost efficiency.
Mentor engineers, promote DevOps best practices across teams, and contribute to platform and architecture decisions.
Participate in and continuously improve the on-call rotation supporting mission-critical production systems.

We value team players with technical excellence and a sense of ownership who know how to choose the right tool for the right task.


What you'll be doing

Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

Write clean, highly scalable, and top-quality code that sets industry standards.

Work closely with the Product, Architects, DevOps, and BI.

Continuously learn and stay up to date with emerging trends and technologies in the industry.

Drive innovation by researching and implementing new technologies and best practices within the development team.

we are a dynamic technology firm dedicated to building exceptional products using modern technologies for the world's most admired companies. We pride ourselves on innovation, collaboration, and delivering excellence in every project.

Job Description
Implement and manage CI/CD pipelines for continuous integration and deployment.
Monitor system performance and troubleshoot issues as they arise.
Collaborate with development and IT teams to streamline workflows.
Manage cloud infrastructure and ensure high availability and scalability.
Automate system processes and infrastructure deployment using tools like Docker, Kubernetes, or

As a Technical Project Manager at Jeen, you will lead the delivery of enterprise-grade AI projects from planning through execution. Youll work closely with customers, engineering, and cross-functional teams to ensure smooth technical integrations, clear communication, and on-time delivery. This role combines strong project management skills with a solid technical background, enabling you to translate complex requirements into successful, scalable AI solutions in a fast-growing, innovative environment.

Lead complex implementations, own client relationships, and drive innovation in fast-paced environments where your technical expertise creates real business impact.

Responsibilities
Lead and manage full-cycle implementation projects, from planning to go-live
Own the client relationship from a technical perspective- requirements, customizations, installations, and version updates.
Oversee the installation of JEENs platform across dev, test, and production environments, including integration with client systems.
Collaborate with IT stakeholders and internal engineering teams.
Coordinate cross-functional project roles in a matrix environment.
Create detailed project plans, track progress, and ensure on-time delivery.
Manage and execute version updates and technical change processes with the client.

We are looking for a hands-on Enterprise AI Solutions Architect to own the technical design and delivery of end-to-end AI solutions for complex Enterprise customers. You will work directly with customers to translate business, data, security, and technical requirements into scalable, production-ready AI architectures.

Key Responsibilities
Lead technical discovery and translate business requirements into end-to-end AI solution architectures.
Design solution components, data flows, integrations, model interactions, and operational workflows.
Define the right AI approach, including RAG, agentic workflows, orchestration, model selection, evaluation, and fine-tuning, balancing quality, security, scalability, latency, and cost.
Design integrations with customer systems, APIs, data sources, identity services, and IT infrastructure.
Define evaluation, guardrails, observability, monitoring, governance, and security requirements.
Lead architecture workshops and technical discussions with customers and internal teams.
Provide technical leadership to Development and Delivery teams throughout implementation, troubleshooting, and production readiness.
Build prototypes and POCs, troubleshoot technical issues, and validate architectural decisions through code when needed.

We are looking for an AI Solution Engineer to design, implement, deploy, and operate AI-powered solutions for enterprise customers.

This is a hands-on, multidisciplinary role combining AI, integrations, customer-facing work, and technical problem-solving. Youll work directly with customers from discovery and solution design through implementation, production deployment, monitoring, and optimization.

Youll build solutions including Voice AI Agents, Text Agents, conversational workflows, and AI-powered conversation analysis, while supporting customers using our SaaS platform.

Key Responsibilities
Design, configure, and deploy Voice AI Agents, Text Agents, and conversation analysis solutions.
Translate customer business processes and requirements into working AI solutions.
Own customer implementations end-to-end, from technical discovery and solution design through production deployment.
Integrate us with APIs, CRM systems, telephony/PBX platforms, databases, knowledge bases, and other enterprise systems.
Configure prompts, workflows, business logic, AI models, tools, and integrations according to customer requirements.
Monitor production AI agents, troubleshoot technical issues, perform root-cause analysis, and continuously optimize performance.
Support enterprise customers using the SaaS platform.
Work closely with Product, R&D, Sales, and Customer Success, bringing insights from customer implementations back into the product.
Manage multiple customer implementations simultaneously and take ownership through successful production delivery.

As a quantum researcher, your main role will be to develop algorithmic and error-reduction tools to help our partners and customers achieve quantum advantage for their applications. You will develop our error reduction methods, including mitigation and correction, and apply them to different use cases by optimizing existing methods, developing new algorithms, and adapting these tools to the realities of running on quantum hardware. This includes taking into account application requirements, noise characteristics, device constraints, and performance on real quantum devices.

Responsibilities
Developing new error reduction methods, including mitigation and correction, for quantum algorithms.
Optimizing error reduction methods for different algorithms, applications, and hardware settings.
Developing new quantum algorithms to enhance performance on real quantum hardware with error mitigation.
Conducting research on applications of quantum computing with our partners, including implementing and running proof-of-concept demonstrations of these applications on real quantum hardware. 

We are looking for a Senior Software Engineer with strong Python expertise and a passion for solving complex algorithmic problems. You'll work at the intersection of production software, algorithms, and quantum computing, collaborating closely with researchers to turn complex ideas and prototypes into robust, scalable production systems.


What You'll Do
Bridge research and production environments, turning research prototypes and algorithmic concepts into production-quality software.
Own software components end-to-end, from design and architecture through implementation, testing, performance optimization, and productionization.
Implement and integrate complex algorithms in close collaboration with research teams.
Develop and maintain company code across two key areas: research support systems that enhance our researchers' capabilities, and core product development code.
Design software that is robust, scalable, maintainable, and correct across performance-sensitive and edge-case-heavy scenarios.