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At our company, our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding: youll have the opportunity to work with some of the most talented people in the industry who value innovation, diversity, integrity, and collaboration.

Who we seek:

We are looking for a Senior Product Manager - Agentic AI to help shape and build our AgentIQ, our agentic AI platform transforming how enterprises understand their data, automate workflows, and move from insight to action.
This is a hands-on product role for someone who has built and shipped AI-powered products and, ideally, AI agents or agentic workflows. You will work closely with Engineering, AI/ML, Design, and customers to turn emerging AI capabilities into reliable, intuitive, and valuable enterprise products. You will own product initiatives end-to-end: from identifying customer problems and validating use cases to launching capabilities and measuring impact.

What you'll do:

Build the future of AgentIQ: Define and execute product initiatives that use AI agents to solve real enterprise data intelligence problems.
Design agent experiences: Define agent goals, workflows, tools, APIs, skills, actions, decision points, and human-in-the-loop experiences.
Own execution & trust: Translate concepts into requirements, user stories, and acceptance criteria while defining permissions, guardrails, explainability, and failure handling for enterprise data actions.
Customer discovery & validation: Work directly with customers to identify high-value agentic use cases, validate prototypes, gather feedback, and translate needs into product improvements.
Conduct market research: Analyze customer needs, competitive offerings, market trends, and emerging agentic AI technologies to identify opportunities and shape AgentIQs product strategy.

Required Software Engineer
Software Engineer
As a Software Engineer, you are a core partner in the product team, shaping not just how we build, but what we build. Your mission is to solve meaningful customer problems, turn ideas into production-ready software, and leverage modern AI-native development practices to amplify your impact as an engineer.
You will join a culture of radical end-to-end ownership, where teams deploy to production dozens of times a day. Leveraging a modern technology stack alongside AI-powered development tools, you will build, experiment, and iterate quickly-turning complex technical challenges into products that deliver real customer value.
Key Responsibilities:
AI-Native Software Development: AI is part of how we build software. You will leverage modern AI tools and agentic workflows as part of your daily development process to accelerate implementation, improve code quality, automate repetitive work, and explore technical solutions faster-while applying strong engineering judgment every step of the way.
Builder Mentality: You dont wait for perfect specifications. You take ideas, challenge assumptions, build prototypes when needed, iterate quickly, and turn ambiguous problems into elegant, production-ready solutions.
End-to-End Ownership: Own your features from idea to production. You build it, you ship it, you monitor it, and continuously improve it-taking full ownership of both customer impact and technical quality.
Product Partnership: Partner closely with Product Managers, Designers, and fellow engineers throughout discovery and delivery. Your technical insights will help shape product decisions before a single line of code is written.

Were looking for an experienced Team Leader who wants to make a foundational impact on the engine that powers cloud security platform.
Our Stack: Python, AWS, Kafka, Redis, SQS, Postgres, Kubernetes. Our scanning surface extends across Azure, GCP, OCI and Alibaba Cloud and others.
What Youll Do:
Lead, mentor and develop a team of senior software engineers through one-on-ones, feedback and technical guidance
Own and drive the delivery of high-impact projects end to end, from design through deployment and production monitoring
Design and review architecture for large-scale distributed systems, with a focus on scalability, resilience and efficiency
Drive the platforms scalability and cost efficiency as scan volumes grow
Collaborate cross-functionally with Product, SRE and other R&D teams to define priorities, interfaces and success metrics
Ensure the reliability, scalability and observability of core services, introducing SLOs and best practices for operations
Uphold the teams engineering standards for code quality, safe rollout of changes and long-term maintainability
Write and review clean, maintainable and tested code

We are looking for backend engineers who care deeply about software design, cloud-native infrastructure, and container security. This is a high-impact role with real ownership - lead features end-to-end, mentor teammates, and help shape the technical direction of KSPM offering.
Our Stack: Python, Go, K8s APIs, K8s ecosystem tooling (OPA/Gatekeeper, admission controllers), Docker & container runtimes, SingleStore, Postgres, Redis, Kafka, SQS, ElasticSearch, AWS, GCP, Azure.
What Youll Do:
Design & build at scale: Design, implement, and maintain scalable backend services that discover, onboard, scan, and analyze Kubernetes environments across multi-cloud and managed clusters.
Model K8s security: Map and represent Kubernetes resources as clean data models that surface misconfigurations, exposure risks, and compliance violations.
Integrate detection engines: Integrate and evolve detection engines for container vulnerabilities, secrets, RBAC risks, misconfigurations, and compliance frameworks.
Collaborate on research & product: Partner with security researchers and product managers to translate novel findings and complex requirements into impactful features.
Design for quality: Write clean, well-tested code in Python or Go, with thoughtful abstractions and APIs that keep the system correct and maintainable as it grows.
Lead & mentor: Lead design discussions and code reviews that uphold high engineering and security standards across the team.
Own it end-to-end: Own features through their full lifecycle - from technical specification and design through implementation, testing, and release.

we are looking for a IT Helpdesk Specialist - Student Position.
As an IT Helpdesk Specialist, you'll join global IT team providing first-line technical support for our Israel office, as part of our follow-the-sun (166) coverage model, working in rotation alongside our IT Manager and system administrators. Your primary objective is to keep computer systems, software, and hardware running smoothly - resolving issues promptly and delivering strong service that keeps our teams productive.
What you'll do:
Provide Helpdesk support for our Israel office as part of the follow-the-sun rotation.
Support and troubleshoot hardware and software issues (Windows and Mac).
Install and configure hardware, software, and networks.
Execute onboarding/offboarding processes for employees per established procedures.
Manage and maintain IT inventory.
Monitor on-premises systems and troubleshoot issues.
Maintain and support A/V conference systems (Zoom, Teams) for company meetings.
Perform first-line administration of Entra ID, Intune/Kandji MDM, and our corporate Azure/O365 environment via scoped helpdesk-tier roles, with time-boxed, approval-gated elevation for anything beyond that scope, per team runbook. No standing privileged admin access.

we are looking for a IT Helpdesk Specialist.
As an IT Helpdesk Specialist, you'll join Earnix's global IT team providing first-line technical support to our EMEA (London, Paris) and US (Boston) offices, as part of our follow-the-sun (166) coverage model, working in rotation alongside our IT Manager and system administrators. This role's shifts fall in the afternoon/evening (Israel time) to align with our US and European business hours, and it is a primary point of contact for non-Israel-based employees - strong professional English is essential.
Weekly schedule (Israel time):
Monday: 15:00-23:00
Wednesday: 15:00-23:00
Friday: 10:00-15:00
What you'll do:
Provide Helpdesk support for our EMEA and US offices as part of the follow-the-sun rotation.
Support and troubleshoot hardware and software issues (Windows and Mac).
Install and configure hardware, software, and networks.
Execute onboarding/offboarding processes for employees per established procedures.
Manage and maintain IT inventory.
Monitor on-premises systems and troubleshoot issues.
Maintain and support A/V conference systems (Zoom, Teams) for company meetings across time zones.
Perform first-line administration of Entra ID, Intune/Kandji MDM, and our corporate Azure/O365 environment via scoped helpdesk-tier roles, with time-boxed, approval-gated elevation for anything beyond that scope, per team runbook. No standing privileged admin access.

We're looking for an Automation Engineer to join the System Automation team, the central automation team within engineering department. SA owns the company-wide system automation platform: the system, correctness and performance tests, and the pipelines that run them, across products and a rich technology stack.
Our current focus is scale and performance. We test the limits of the system, benchmark it against realistic, large-scale workloads, and catch performance regressions before every release. We're also turning that expertise into a platform, with frameworks, tooling and know-how that let product teams write and run system tests themselves. You'll work closely with developers, architects, product managers, QA and DevOps engineers, and you'll help shape both the tests and the platform.
What you'll do:
Design, build and evolve the SA platform: the frameworks, tooling and CI pipelines that run system, correctness and performance tests across products.
Plan and run system-limitations testing to find where the product breaks under data volume, concurrency and load, and turn the findings into clear, actionable results.
Build and maintain performance benchmarks on realistic workloads, and run them on to catch regressions early.
Make it easy for product teams to own their system tests by creating reusable building blocks, documentation and examples, and by coaching engineers through knowledge-sharing sessions.
Analyze results with developers and architects to pinpoint bottlenecks and drive fixes
Use AI-assisted development tools and agentic workflows to speed up test creation and maintenance, and keep up with what's changing in automation and performance engineering.

Were looking for a Director of Data to lead our evolving Data organization. This is a unique opportunity for an experienced technical leader who thrives at the intersection of leadership and execution. In this role, youll shape the future of our data platform and infrastructure while remaining closely connected to the technology, architecture, and innovation that drive our business forward.
Why Join Us:
Lead a strategically important Data organization during a transformative phase of growth and evolution.
Shape the technical vision, operating model, and future direction of Data Engineering and Data Infrastructure.
Work hands-on with modern data technologies, AI-driven workflows, and emerging platforms while operating at a senior leadership level.
Influence critical company-wide initiatives and partner closely with leaders across R&D, Product, Finance, Support, and GTM.
Join a culture that values ownership, technical excellence, continuous learning, and meaningful impact.
Key Responsibilities
Lead our Data organization in its next phase, driving a lean, high-performing, and highly technical operating model.
Own the technical vision, architecture, and execution across Data Engineering and Data Infrastructure.
Directly manage and mentor a multidisciplinary team, fostering growth, accountability, and engineering excellence.
Provide strong hands-on technical leadership, guiding architectural decisions, reviewing designs, and driving execution on critical initiatives.
Partner with stakeholders across the organization to deliver scalable data products and platforms that support business and product needs.
Drive modernization of our data ecosystem, balancing proven data technologies with emerging approaches in AI, automation, and modern data platforms.
Lead strategic initiatives involving critical infrastructure, platforms, and investments, ensuring scalability, reliability, and operational efficiency.
Champion best practices in data engineering, platform reliability, observability, and operational excellence.

Required Staff Engineer - Office of the CTO
As a member of the Office of the CTO, your mission is to make every engineer 10x more effective. You will be a central driver in reimagining our Software Development Lifecycle (SDLC), building the intelligent platforms, automated golden paths, and AI-powered tools that will fundamentally change how we build software. This is a rare opportunity to have a massive, force-multiplying impact on our entire R&D & Product organizations, building the systems that enable hundreds of engineers to innovate faster and deliver with exceptional quality. The role is based in our Tel Aviv office.
Key Responsibilities:
Shape the Software Factory: Act as a key thought leader in shaping our Software Factory - the agentic workflows and loops that carry work from idea to production. You will research, prototype, and build the agents, harnesses, and tools behind them, and define the governance, controls, and standards that keep the factory predictable and safe at scale.
Build the Platform Beneath It: The factory only runs on solid foundations, and the Office of the CTO owns them. You will take a hands-on role in building and scaling the shared infrastructure every agentic workflow depends on - our AI gateway, shared memory and context graphs, guardrails, and the golden paths that abstract this complexity away from the teams using it.
Make Quality Automatic: Turn those standards into enforcement - automated gates in our CI/CD pipelines, evaluations and guardrails for agent-generated work, and the telemetry that tells us whether the factory is actually producing better outcomes. Quality, testing, security, and reliability become the default, not the exception.
Drive Adoption & Foster Community: Champion the tools you build. You will create documentation, lead workshops, and act as an internal advocate for your users, turning their feedback into the next iteration. You will also mentor and guide builders across R&D and product - in Tel Aviv and across our global sites - helping to foster our AI-native culture.

We are seeking a highly motivated AI Researcher to join our core Data Science team. In this role, you will be at the forefront of tackling complex, high-impact business challenges by leveraging cutting-edge GenAI technologies, advanced AI research, and classical machine learning and statistical modeling.
You will not just be building models; you will be driving research from ideation to production. We are looking for a true self-learner, someone who thrives in an environment that demands both a strong sense of ownership over your deliverables and deep collaboration. You will work closely with fellow researchers, product managers, and software developers to translate abstract business problems into scalable data-driven solutions.
If you are passionate about staying ahead of the AI curve, building agentic workflows, and proactively driving your research initiatives forward within a collaborative team structure, this is the perfect role for you.
What You Will Do:
End-to-End Research & Ownership: Lead targeted research projects from initial hypothesis through to production-ready solutions. Take strong ownership of your work's performance and partner with engineering to ensure successful, scalable integration
Applied AI Research & Integration: Lead research into LLMs, agentic systems, and modern AI methods, then design and build the workflows that bring them into our ecosystem.
LLM Evaluation & Optimization: Contribute to and establish rigorous evaluation frameworks for LLMs to ensure accuracy, safety, and business alignment in practical applications.
Cross-Functional Collaboration: Act as a bridge between data, engineering, and product. Work with Developers to ensure seamless integration of ML features into the core product.
Continuous Innovation: Act as an internal advocate for emerging AI research and methodologies. Continuously read, experiment, and implement state-of-the-art techniques to advance our research agenda and accelerate research velocity.

Were looking for a Frontend and Automation Developer to join our Analytics team. Youll develop a modern web application and automation tests, collaborating with a multi-skilled team on a complex system.
We value developers who embrace an AI-first mindset, leveraging AI tools to learn faster, improve development and testing workflows, solve problems more effectively, and continuously optimize the way they work.
Youll focus on building new client-side features and automation tests for our web application using React and TypeScript.
What youll do:
Be part of a cross-functional, multi-skilled team.
Design and implement new functionality for our products.
Contribute to building and maintaining our web automation suite.
Use AI-assisted development tools as a natural part of your daily engineering workflow.
Apply AI to areas such as coding, debugging, testing, code understanding, documentation, research, and problem-solving.
Look for opportunities to improve engineering productivity and development processes using AI and automation.
Collaborate closely with colleagues across teams.
Participate in discussions and brainstorming sessions with Product and UX designers to shape the UX/UI according to user needs.
Quickly learn and understand the business domain, product, architecture, and development environment.
Stay up to date with frontend technologies, AI-assisted software development practices, and industry best practices.

We're looking for a hands-on Senior Backend Engineer to join the App Studio & Intelligence team within GenAI Group. Our group builds the company's core Generative AI products - including a company-wide agents platform and customer-facing AI assistants - enabling teams across and our customers to design and deploy AI-driven solutions.
In this role, you'll design and build scalable microservices and cloud-native infrastructure at the heart of our GenAI applications, working with advanced AI capabilities such as knowledge bases, embeddings, LLM orchestration, agent frameworks, and evaluation systems. You'll be a senior technical voice on the team - owning complex features end-to-end, raising the engineering bar, and shaping how AI capabilities are delivered in production.
What You'll Do:
Design, build, and own backend services and infrastructure for our GenAI applications - scalable, resilient, production-grade systems running on AWS.
Build the APIs, data pipelines, and backend integrations that power advanced AI capabilities, including knowledge bases, embeddings, LLM orchestration, agent workflows, and evaluation frameworks, with attention to performance, scalability, and security.
Lead complex design efforts - driving architecture discussions, design reviews, and technical decisions for significant areas of the system.
Collaborate closely with product, data science, and other engineering teams to translate business needs into robust backend solutions that enable AI-agent use cases.
Raise the engineering bar through code reviews, mentoring less experienced engineers, and championing best practices in quality, observability, and operational excellence.
Take ownership of production health, including monitoring, alerting, troubleshooting, and continuously improving system reliability.

we are looking for a QC Engineer.
The Ceramic QC Lab role is responsible for operating a quality assurance lab based on existing testing systems and developing new testing methodologies. This role requires learning and applying QC testing methods, working independently to solve ceramic-related problems, maintaining attention to detail, and finding methodologies for conducting various tests.
Responsibilities:
Conduct QA Tests on Raw Materials: Perform QA tests on incoming raw materials and during their storage period, especially for materials with long storage times.
Monitor Ceramic Quality: Conduct QC tests to monitor ceramic quality throughout preparation, mixing, and printing stages.
Data Reporting: Input results to engineers at workstations and maintain direct communication to ensure consistency between measurement results and observed results in the field.
Improve Testing Methodologies: Continuously learn and enhance testing methods to refine results, ensuring up-to-date status analysis that matches results from different workstations.
Develop and Operate Monitoring Systems: Establish and operate a monitoring system for ceramic quality, accounting for calendar, process changes, equipment changes, and quality correlations between raw materials and batch variations.
Receive guidance from the Chemistry and Process teams to support QC methods.
Create Efficient QC Systems: Develop additional methods for an efficient QC system that provides an up-to-date quality status for ceramics, enabling troubleshooting without halting the process or workstations (e.g., material correction, refreshing, and adjusting working conditions to align material quality with the process).