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Required IT Support Specialist (Tier III)
We deliver AI-powered sales training to enterprise customers worldwide. As our IT Support Specialist, you will lead the company's IT function as a one-person team within DevOps, supporting employees across Israel, the US, and EMEA. Serving enterprise customers means enterprise-grade expectations land on a startup-sized function: the role spans day-to-day support through to strategic projects that keep the company secure, compliant, and productive.
Responsibilities:
Manage the Windows and macOS device fleet through Microsoft Intune, including hardware provisioning and office infrastructure (networking, meeting rooms)
Administer identity and access in Microsoft Entra ID, including Conditional Access, MFA, and SSO/SCIM
Operate security tooling, including Microsoft Defender, patch management, and email authentication (DMARC/DKIM), and lead the response to security incidents
Administer the company's SaaS and AI tools (Claude, Microsoft Copilot, Cursor, MCP integrations), covering provisioning, licensing, and approval
Manage employee access to cloud platforms and internal systems (GCP, Azure, GitHub, VPN)
Support ISO 27001, ISO 42001, and SOC 2 compliance, including audits, access reviews, and security awareness training
Own the onboarding and offboarding process, ensuring new hires are fully equipped before their first day
Manage the IT service desk (Jira Service Management) and maintain the IT knowledge base
Automate recurring tasks using Python, PowerShell, and the Microsoft Graph API
Manage IT vendors, licensing, and associated costs.

we are looking for a QA Automation Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

we are looking for a Infrastructure Team Leader to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
What Youll Be Doing
Lead a team of 5-7 talented Software Engineers
Design, build and set up development tools and infrastructure for use by the various teams in the R&D organization.
Among the different tools:
test infrastructure used by the QA
Maintain and develop API and interfaces facing the company storage product + different cloud providers.
full stack bug investigation portal
VM orchestration
Collaborate with other teams to improve the productivity of the entire R&D organization.
Dealing with diverse technologies and domains - Docker, Git, Python, Linux, Python, Storage.

Shape the Future of AI Infrastructure with our company
This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution.
Recognized by Forbes as "the future of the market," our company is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before.
Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless company ronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data.
We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals.

Were seeking a Conversational Quality Specialist to help shape and continuously improve voice-based experiences across our platform. This role sits at the intersection of conversation design, AI interaction quality, and cross-functional collaboration. You'll work with product, sales, marketing, and NLP teams to ensure our AI conversations are effective, natural, and engaging.
What Youll Do
Design Engaging Interactions:
Create, edit, and optimize prompts, scripts, and dialogue flows that feel intuitive, realistic, and aligned with human communication patterns.
Enhance Demo Experiences:
Collaborate with sales and marketing to craft compelling demo conversations that showcase the power of our AI.
Evaluate Conversation Quality:
Review real user-AI conversations to assess performance, highlight successes, and uncover improvement opportunities for our core conversation engine.
Define Quality Metrics:
Develop and implement conversation quality frameworks and metrics to evaluate effectiveness, user engagement, and learning outcomes.
Support Multi-Language Rollout:
Oversee and advise on multilingual implementation to ensure high-quality experiences across regions.
Stay Ahead of the Curve:
Keep up with best practices in conversation design, LLM-native UX, voice AI trends, animated avatars, user interaction models and any new technology that is expected in conversations.

we are looking for a QA Automation Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Key Responsibilities
Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests
Define, develop and execute testing plans with deep system knowledge and understanding.

we are looking for a Performance Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Key Responsibilities
Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests
Define, develop and execute various performance scenarios with deep system knowledge and understanding.

We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals.
Key Responsibilities
Design & Develop Core Components: Build, maintain, and optimize highly scalable, resilient distributed services, storage engines, or data-processing pipelines written in C/C++.
System Architecture & Resilience: Drive architectural discussions and implementations around high availability, data consistency, replication mechanisms, fault tolerance, and multi-node concurrency.
Performance Optimization: Optimize hot execution paths, low-level data structures, memory management, and I/O subsystems to guarantee high throughput and minimal latency.
Complex Debugging & Troubleshooting: Investigate and resolve intricate production issues spanning the application layer, distributed networking protocols, file systems, and operating system kernels.
End-to-End Ownership: Take full technical ownership of critical features-from ambiguous requirements and system design through implementation, rollout, and observability in production environments.