Jeen.ai

As a Platform DevOps Engineer for Jeen Talk, you will lead DevOps for Jeen's SaaS product. You will serve as the product's primary DevOps owner, with end-to-end responsibility for infrastructure, Production availability, reliability, and development and deployment workflows. The role is designed to establish a scalable DevOps capability as the product and organization grow. Key Responsibilities Own the end-to-end cloud-native infrastructure for Jeen Talk, including Development, Test, and Production environments. Design and build scalable, secure, and reliable infrastructure for an active SaaS product. Lead CI/CD, deployment, and release-management processes using GitHub Actions, GitOps, and Argo CD. Manage and scale Kubernetes, Docker, Helm, and public-cloud infrastructure using Terraform. Establish and lead observability, monitoring, alerting, and incident-response capabilities. Participate in on-call rotations, resolve Production incidents, lead postmortems, and drive preventive improvements. Partner with R&D teams to improve product performance, scalability, reliability, and security. Develop automation and scripting tools, and promote AI-powered code assistance and development practices to improve operational speed and quality. Build operational processes, infrastructure standards, and documentation that support the future growth of the DevOps capability. Requirements At least 3 years of hands-on experience in DevOps or Platform Engineering roles. Proven experience in a SaaS company, including ownership of Production systems. Experience as a sole DevOps engineer, technical lead, or in a role with broad ownership of product infrastructure. Hands-on experience building and maintaining cloud-native infrastructure in a public cloud environment. Significant experience with Kubernetes, Docker, Helm, and Terraform. Experience with CI/CD, GitHub Actions, GitOps, and Argo CD. Experience with Prometheus and observability, monitoring, and alerting systems. Experience with on-call, incident response, incident analysis, and improving Production-system reliability. Strong scripting skills. Demonstrated ability to provide technical leadership, operate independently amid ambiguity, and drive cross-functional initiatives. High proficiency in Hebrew and English. A relevant degree in Computer Science, Engineering, Information Systems, or equivalent practical experience. Preferred Qualifications Experience with Azure. Experience building and scaling Production infrastructure from the ground up for a SaaS product. Experience with AI products, LLM workloads, or Voice / Conversational AI systems. Experience with cloud security, IAM, secrets management, and infrastructure hardening. Experience with cloud cost optimization and efficient resource management. Experience managing or mentoring DevOps / Platform Engineering professionals. Experience using AI-powered code assistance or development tools.

About the Role As a Technical Project Manager at Jeen, you will lead the delivery of enterprise-grade AI projects from planning through execution. You'll 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 JEEN's 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 Requirements 2+ years of experience managing technical projects in enterprise environments 3+ years of hands-on development experience in data or digital domains Bachelor's degree in Computer Science, Information Systems, Industrial Engineering, or equivalent experience A proven ability to deliver complex technical projects in fast-paced environments Deep understanding of integration solutions and diverse IT systems Strong leadership and stakeholder management skills Experience with AI-related projects- a plus Familiarity with large language models (LLMs)- a plus

Play a key role across the entire product lifecycle – from discovery and system definition to delivery and impact. This is a senior, technical product role with ownership across complex enterprise capabilities. You’ll deeply understand customer needs, architecture, data flows, technology, and business goals, and translate them into scalable product execution. Your first mission: understand the existing product, market, and governance challenges and turn them into focus, clarity, and measurable outcomes. This role includes hands-on product work and customer-facing discussions with government, defense, and security organizations in Israel and global markets. Key Responsibilities Own product metrics and outcomes, not just feature delivery Lead technical discovery with enterprise customers and partners globally Turn business, security, and governance needs into scalable system requirements Own complex platform capabilities from concept to launch and trade-offs Partner with Engineering and Architecture on design, integrations, and scale Define data flows, APIs, permissions, and governance behavior Present complex product capabilities to senior customer stakeholders Research enterprise AI, governance, and the competitive landscape Collaborate across Engineering, Architecture, Design, Sales, and Customer Success Requirements 5+ years as a Product Manager for complex enterprise or platform products Strong technical product background: architecture, APIs, data flows, and integrations Experience with large-scale, data-intensive, distributed, or infrastructure systems Experience with AI/Generative AI products and enterprise AI concepts Experience defining scalable platform capabilities beyond UI features Experience with governance, access control, security, auditability, or compliance Proven customer-facing work with large enterprises and technical stakeholders Strong product presentation skills with customers in Israel and abroad Strong product fundamentals, ownership, prioritization, and execution Preferred Qualifications Deep experience with AI/ML products or platforms Background in data platforms, architecture, infrastructure, or governance B2B SaaS or enterprise software experience, ideally in regulated industries

Build enterprise AI products where every line of code matters. Work with cutting-edge technologies, shape product direction, and solve complex problems in a flat-structured startup environment with high ownership and growth potential. Key Responsibilities Develop high-performance web applications using React, Next.js, Node.js, and NestJS Integrate generative AI capabilities into user-facing applications Implement and optimize database schemas for traditional and vector databases Contribute to architectural decisions and technical planning Ensure code quality through testing and best practices Mentor and grow junior and mid-level engineers through code reviews, 1:1s, and knowledge sharing Collaborate with Product and Design teams to translate requirements into technical specifications Drive technical debt reduction and proactive refactoring initiatives Define and enforce coding standards, PR review processes, and documentation practices Requirements 2+ years of experience as a Team Lead / Technical Lead 5+ years of Full-Stack development experience with React, Next.js, Node.js, and NestJS Strong JavaScript/TypeScript proficiency Experience with PostgreSQL, Redis, and other databases Knowledge of RESTful APIs and microservices architecture Experience with Git, CI/CD workflows, and containerization Experience with k8s / OpenShift – big advantage! Experience with SaaS – big advantage! Preferred Qualifications Experience with generative AI technologies or AI API integration Knowledge of vector databases Familiarity with cloud platforms and real-time data processing Experience with authentication systems and performance optimization

We’re looking for a Talent Acquisition Specialist to own the full recruitment process, from defining the need with the hiring manager to the new hire’s first day. You’ll be a trusted partner to managers, guide them through every stage, and make sure we hire the right people efficiently while giving every candidate a great experience. Responsibilities End-to-End Recruitment: Own the full hiring cycle, from sourcing and screening through interviews to the candidate’s onboarding. Hiring Manager Partnership: Work closely with hiring managers to define role requirements and candidate profiles, align expectations, and advise them throughout the process and on hiring decisions. Hiring Process Design: Build an interview process for each role, prepare managers for interviews, and run structured debriefs to reach clear, timely decisions. Sourcing: Proactively find candidates through LinkedIn Recruiter, job boards, referrals, and direct outreach. Candidate Experience: Be the main point of contact for candidates throughout the process, with clear, personal communication at every stage. Pipeline & Data Management: Keep the ATS accurate and up to date, track pipeline status and recruiting metrics, and report regularly to stakeholders. Job Postings & Employer Branding: Write and manage job postings across platforms in a way that reflects our culture and attracts the right talent. Requirements 1–2 years of Proven experience as a Recruiter in a placement agency, recruiting for tech roles – must. Recruiting Tools: Hands-on experience with LinkedIn Recruiter and ATS platforms – must. Education: Bachelor’s degree in Human Resources, Behavioral Sciences, or a related field – must. Strong organizational skills: Proven ability to manage multiple tasks and high-volume scheduling in a fast-paced environment Communication: Exceptional Hebrew and English (both written and verbal)

About the Role Jeen Talk is 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. You'll work directly with customers from discovery and solution design through implementation, production deployment, monitoring, and optimization. You'll build solutions including Voice AI Agents, Text Agents, conversational workflows, and AI-powered conversation analysis, while supporting customers using the Jeen Talk 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 Jeen Talk 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 Jeen Talk 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. Requirements 2+ years of professional experience in Solution Engineering, Software Engineering, Technical Implementation, Integrations, or a similar technical role. Hands-on experience with Python and the ability to build scripts, integrations, and technical solutions. Experience working with REST APIs, webhooks, and system integrations. Experience working with databases and data-driven applications. Hands-on experience or strong technical knowledge of Generative AI and LLM-based applications, including prompting and AI workflows. Strong understanding of SaaS applications and production environments. Strong troubleshooting and root-cause analysis skills across multiple systems and integrations. Ability to understand customer business requirements and translate them into technical solutions. Strong customer-facing and communication skills. Ability to independently own multiple technical implementations from requirements through production. Preferred Qualifications Experience with Voice AI, conversational AI, AI Agents, chatbots, or automation platforms. Experience with FastAPI, TypeScript, Node.js, or React. Experience with RAG, Vector Databases, Embeddings, Guardrails, or LLM evaluation. Experience with telephony and contact-center technologies, including SIP, PBX, VoIP, CTI, or telephony APIs. Experience integrating with CRM, contact-center, or other enterprise systems. Experience with Cloud environments, Docker, Kubernetes, or microservices. Experience supporting customer-facing systems running in production. Previous experience in a contact center or customer-service environment.

We are looking for a AI Product Manager to lead the Governance domain of our enterprise AI platform. This role sits at the intersection of Product, Cybersecurity and Enterprise AI. You will be responsible for translating security and governance concepts into scalable product capabilities that enable organizations to safely control, monitor and manage AI systems. We are looking for someone with hands-on product management experience in cybersecurity, security, governance, or a closely related product domain. Key Responsibilities Own and drive the Governance product domain from definition through delivery, including roadmap, requirements, prioritization and execution. Define product capabilities around policies, guardrails, controls, permissions, risk management and enforcement. Define system behavior around dependencies, blocking, monitoring and alerts. Drive capabilities related to auditability, event logging and observability. Translate security and enterprise requirements into scalable product solutions. Work closely with R&D, Security, Architecture and customer-facing teams. Requirements 3-4+ years of Product Management experience specifically in a Cybersecurity, Security, Governance, GRC, IAM, Cloud Security, Policy Management or closely related product. Experience managing B2B Enterprise products. Experience with products involving policies, controls, permissions, monitoring, risk, enforcement or alerting. Strong understanding of complex systems, dependencies and system behavior. Good technical understanding of APIs, integrations, data flows and infrastructure. Proven experience translating complex technical requirements into clear product requirements. Strong experience working closely with R&D and technical stakeholders. Strong ownership, communication and execution skills.

About the Role We're looking for a Senior Full-Stack Developer to build enterprise AI product, working across our technology stack to develop applications that power our AI platform. Key Responsibilities Develop high-performance web applications using React, Next.js, Node.js, and NestJS Integrate generative AI capabilities into user-facing applications Implement and optimize database schemas for traditional and vector databases Contribute to architectural decisions and technical planning Ensure code quality through testing and best practices Requirements 6+ years of Full-Stack development experience with React, Next.js, Node.js, and NestJS Strong JavaScript/TypeScript proficiency Experience with PostgreSQL, Redis, and other databases Knowledge of RESTful APIs and microservices architecture Experience with Git, CI/CD workflows, and containerization Experience with k8s / OpenShift – big advantage! Experience with SaaS – big advantage! Preferred Qualifications Experience with generative AI technologies or AI API integration Knowledge of vector databases Familiarity with cloud platforms and real-time data processing Experience with authentication systems and performance optimization

We are seeking a proactive, highly organized, and discreet Personal Assistant (PA) to provide close administrative support to the CEO and VP. The role involves managing complex schedules and shifting priorities while ensuring seamless coordination of executive tasks, alongside responsibility for travel arrangements, payments, documentation, and ongoing communication in a fast-paced environment. We are looking for a reliable professional with strong judgment, a keen eye for detail, and the flexibility to work independently with senior management while maintaining strict confidentiality. Key Responsibilities Provide comprehensive administrative and operational support to the CEO and VP. Manage complex calendars, including personal appointments and high-level meetings. Track tasks and ensure consistent follow-up and alignment with ongoing priorities. Facilitate communication and coordination between senior management and internal teams. Handle sensitive and confidential information with the highest level of discretion. Assist in monitoring key tasks, decisions, and ongoing initiatives. Support ongoing operational and administrative initiatives across the leadership team. Work full-time from the office and maintain high availability during business hours. Requirements 1-2 years of experience as a Personal Assistant (PA) or Executive Assistant (EA) supporting senior management. Full proficiency in Microsoft Office tools (Excel, PowerPoint, Word, Outlook). Exceptional organizational and multitasking skills. Excellent written and verbal communication skills. High level of discretion, reliability, and professionalism. Proven ability to thrive in a fast-paced and dynamic environment. Full proficiency in Hebrew and English (both written and spoken). Bachelor's degree – an advantage.

About the Role Jeen is 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. Requirements 5+ years of experience in Software Engineering, Solutions Architecture, AI Engineering, or a related hands-on technical role. Proven experience designing and delivering end-to-end Enterprise software or AI solutions. Hands-on experience with LLM-based systems, including RAG, agentic workflows, search/knowledge solutions, or similar AI applications. Strong understanding of APIs, Enterprise integrations, data flows, databases, and distributed systems. Strong understanding of Enterprise environments, including security, identity, networking, and cloud/on-prem/hybrid architectures. Experience leading technical discovery and architecture discussions with Enterprise customers. Excellent communication skills in English. Preferred Qualifications Experience taking Generative AI solutions from POC to production. Experience with LLM evaluation, observability, and guardrails. Experience with Kubernetes, microservices, vector databases, search technologies, or data pipelines. Experience designing solutions for regulated or security-sensitive environments.

About the Role We are looking for a Product Manager to lead the FinOps domain of our enterprise AI platform. You will be responsible for building product capabilities that help organizations understand, manage, control and optimize usage and costs across complex enterprise environments. We are looking for someone with hands-on product management experience in FinOps, Cloud Cost Management, Billing, Usage Management or a closely related product domain. Key Responsibilities Own and drive the FinOps product domain from definition through delivery, including roadmap, requirements, prioritization and execution. Define capabilities around cost and usage visibility, budgets, cost controls, alerts, reporting and optimization. Turn complex usage and cost data into clear and actionable product experiences. Define capabilities that help enterprise customers understand and optimize resource consumption. Work closely with R&D, Architecture and customer-facing teams. Requirements 3-4+ years of Product Management experience specifically in a FinOps, Cloud Cost Management, Billing, Usage Management, Cloud Infrastructure or closely related product. Experience managing B2B Enterprise products. Experience working with cost, usage, billing or infrastructure-related data and capabilities. Good technical understanding of APIs, data flows, cloud infrastructure and complex systems. Strong analytical skills and ability to turn complex data into clear product experiences. Proven experience translating business and technical requirements into clear product requirements. Strong experience working closely with R&D and technical stakeholders. Strong ownership, communication and execution skills.

Join Jeen Talk and help build one of the most advanced Enterprise Conversational AI platforms. You'll develop production-ready Voice AI and Chat AI solutions used by enterprise customers worldwide, working on real-time voice infrastructure, AI orchestration, and modern web applications. You'll be part of a fast-moving startup environment with high ownership, working closely with Product, AI, and DevOps teams to build scalable AI-powered customer experience solutions. Key Responsibilities Develop production-grade AI Voice Agents and Chat Agents. Build scalable backend services using Python and FastAPI. Integrate OpenAI, Azure OpenAI, Gemini, Claude, and additional AI providers. Design scalable multi-tenant SaaS architecture. Optimize performance, latency, scalability, and system reliability. Participate in architecture discussions and technical planning. Ensure high code quality through testing, code reviews, and engineering best practices. Requirements 5+ years of Backend or Full Stack development experience, with a strong focus on backend development. Strong hands-on experience with NestJS and TypeScript. Strong experience designing and developing scalable backend services and architectures. Experience building REST APIs and asynchronous services. Experience with PostgreSQL, Redis, and relational data modeling. Experience with Python and FastAPI or similar modern backend frameworks. Experience with React and modern frontend development. Experience integrating LLM APIs such as OpenAI, Azure OpenAI, Gemini, or Claude. Strong understanding of scalable software architecture and distributed systems. Experience working with Git, CI/CD, Docker, and production environments. Preferred Qualifications Experience building Voice AI or Conversational AI applications. Experience with SIP, VoIP, or telephony systems. Experience with Twilio or enterprise communication platforms. Experience with RAG pipelines and Vector Databases. Experience with Kubernetes. Experience with MCP (Model Context Protocol). Experience deploying enterprise SaaS and On-Prem solutions.

The Program Manager will ensure predictable, coordinated, and transparent delivery between Product and R&D, from release planning through launch. The role connects product and engineering teams, establishing effective ways of working, managing dependencies and priorities, and maintaining clear communication with relevant stakeholders. Key Responsibilities Lead release planning, readiness, and launch processes in close collaboration with Product and R&D teams. Manage release plans and track release readiness, dependencies, blockers, risks, and delivery milestones. Create, consolidate, and distribute clear and accurate release notes. Facilitate sprint opening, ongoing tracking, and closure, including monitoring tasks, statuses, and delivery objectives. Work closely with Engineering Team Leads, Product Managers, and cross-functional stakeholders across the company. Support prioritization and alignment across business, product, and technical needs. Establish and continuously improve operating processes, ceremonies, and tracking tools to enable efficient and predictable delivery. Identify blockers, drive their resolution, and provide transparent updates on program and release progress. Requirements 2–3 years of experience in project management or program management within an R&D or product environment. Experience working with Agile methodologies and managing sprint cycles. Hands-on experience with Jira and similar project tracking tools. Strong ability to manage priorities, dependencies, and multiple stakeholders. Excellent organizational, interpersonal communication, and process-driving skills. Technical background and an understanding of software development processes. Preferred Qualifications Experience in a SaaS or B2B environment. Experience leading Release Management processes. A relevant degree, such as Information Systems, Industrial Engineering and Management, or a related field.

About the Role As a Platform DevOps Engineer on the Core Platform, you will improve, operate, and scale Jeen's platform infrastructure. You will help accelerate development and deployment workflows while establishing strong standards for reliability, observability, performance, and security across enterprise AI products. Key Responsibilities Design, build, operate, and continuously improve cloud-native platform infrastructure and Development, Test, and Production environments. Build, automate, and optimize CI/CD and deployment workflows using GitHub Actions, GitOps, and Argo CD. Manage, maintain, and optimize Kubernetes environments, containerized workloads, Docker, and Helm. Develop and maintain Infrastructure as Code using Terraform. Partner closely with R&D teams to improve reliability, observability, performance, and security across the platform. Establish and maintain monitoring, measurement, and alerting capabilities, including Prometheus-based tooling. Develop automation and scripting tools that improve operational efficiency and developer experience. Promote responsible and effective use of AI-powered code assistance and development practices. Identify infrastructure bottlenecks and risks, and drive solutions that improve platform stability, scalability, and efficiency. Requirements At least 3 years of hands-on experience in DevOps, Platform Engineering, or a similar infrastructure-focused role. Hands-on experience with a public cloud environment. Production experience with Kubernetes, Docker, and Helm. Experience with Terraform and Infrastructure as Code practices. Experience with CI/CD, GitHub Actions, GitOps, and Argo CD. Experience establishing or maintaining observability and monitoring capabilities, including Prometheus. Strong scripting skills. Experience collaborating closely with software engineering teams in a dynamic, cross-functional environment. High proficiency in Hebrew and English. A relevant degree in Computer Science, Engineering, Information Systems, or equivalent practical experience. Preferred Qualifications Experience supporting AI products or LLM-based workloads. Experience with cloud security, infrastructure hardening, and secure platform practices. Experience with cloud cost optimization. Experience using AI-powered code assistance or development tools.

About the Role Work directly with Tier-1 customers, deploy our platform in their Kubernetes and OpenShift environments, and solve whatever stands in the way, from infrastructure and networking to identity integrations. Key Responsibilities Deploy the Jeen.ai platform in customer Kubernetes and OpenShift environments, both on-prem (including air-gapped and GPU environments) and in the cloud. Troubleshoot and resolve deployment and runtime issues, working across the application, container, and infrastructure layers. Diagnose networking problems end to end: DNS, ingress and routes, load balancers, firewalls, proxies, TLS certificates, and network policies. Integrate the platform with customer identity providers (Active Directory, Azure AD/Entra ID, Okta, Keycloak) over SAML, OIDC, and LDAP. Own the full implementation lifecycle: installation, integration, customization, and post-deployment support. Work directly with IT, security, and infrastructure teams at banks, defense organizations, and other regulated enterprises. Feed field insights back to R&D and Product to improve our deployment process and documentation. Requirements 2 + years of hands-on experience in Professional Services, DevOps, Systems, or Integration roles. Deep, hands-on Kubernetes experience, including troubleshooting production environments. Hands-on experience with OpenShift Strong Helm skills, including customizing and troubleshooting charts. Strong Docker and container experience, including working with private registries. Solid networking knowledge: TCP/IP, DNS, TLS/certificates, proxies, load balancing, and firewalls. Hands-on experience integrating with IDPs using SAML, OIDC, or LDAP. Strong Linux skills and scripting (Bash or Python). Strong ownership, seeing problems through until they're solved. Clear communication with enterprise customers, including under pressure. High-level English, written and spoken. Preferred Qualifications Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP), including managed Kubernetes services such as EKS, AKS, or GKE. Air-gapped or offline Kubernetes installations. NVIDIA GPU environments. Exposure to LLMs, RAG, or AI/ML workloads. Experience in highly regulated environments. Relevant certifications.