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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.

We are looking for a Senior Product Manager to join us and help build the next generation of our UGC (User-Generated Content) platform, powered by AI.
This role focuses on creating AI-driven capabilities on top of our core products - enabling brands to better collect, understand, and activate customer content such as reviews, ratings, and visual UGC.
You will work in a strong product trio with design and engineering to discover, validate, and deliver solutions that create real value for customers and drive measurable business impact.
This is a unique opportunity to shape how AI transforms customer content into actionable insights and growth engines for e-commerce brands.
What youll do:
Partner closely with engineering and product design in a product trio to discover and deliver impactful solutions
Lead continuous discovery with customers, prospects, and internal stakeholders
Define problems worth solving at the intersection of UGC, AI, and e-commerce
Translate customer and business needs into clear product direction and priorities
Drive fast iteration cycles from discovery to delivery and learning
Use qualitative and quantitative insights to inform decisions and measure outcomes
Work closely with GTM, sales, and customer success to ensure strong product adoption and feedback loops
Become a domain expert in UGC, customer behavior, and AI-driven product capabilities.

Were looking for a Senior Talent Acquisition Partner to join our team in Tel Aviv.
Recruiting here is changing as fast as the business is. Teams shift, technology shifts, AI is changing how work gets done - and some of the roles we hire for today will look different a year from now. Thats what makes this interesting: going beyond the brief to understand the real problem behind a hire, reading the market, questioning our own assumptions, and sometimes writing the profile for a role that doesnt have a precedent yet.
Youll get broad business context, direct access to leaders, and real freedom to shape how you work. Youll recruit across functions, seniority levels and geographies - from individual contributors to senior leadership, in Israel and globally.
AI is becoming part of how we recruit day to day - mapping markets faster, automating sourcing, helping hiring managers run sharper interviews. We try things, keep what works, and build the next version with the team.
What Youll Do:
Own hiring end to end - from the business question to the signed offer. Work with hiring managers to define what they actually need, shape the profile, source, assess, and close.
Partner with the business. Get close to leaders world, understand it well enough to have a point of view, and help shape the answer alongside them.
Recruit anything, anywhere: Product, Engineering, GTM, G&A, leadership, or a profile weve never hired before - in Israel, the US, Europe or a new market. Figuring out a market fast is the skill that counts here.
Go deep on assessment. Look past titles, keywords and rehearsed answers to find real evidence of what makes someone great in a specific context.
Use AI constantly - to research, map markets, source, prepare, and spot patterns. Build the tools and workflows that make the team sharper.
Build whats missing. Candidate experience, employer brand, interviewer training, sourcing infrastructure - if you see a gap, you have room to close it.
Read the market as data. Use conversations, funnel numbers and signals to sharpen a profile, and sometimes redirect a search entirely.
Play for the team. Own a complex leadership search one week, jump into someone elses sourcing push the next. The teams outcome is what counts.
Youll Love This Role If
Youre a strong recruiter whos never treated the job as a checklist. You want to know the business behind every role - why it exists, what success looks like, what could make someone unexpectedly great at it. You like forming your own view, testing it, and adjusting when youre wrong. AI excites you because of what you can build with it - new workflows, new tools, faster ways to work. And youre generous with what you know: glad to help, jump in, and get better because the people around you are good.

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.