AI-Agentic Product Owner (remote-only, Europe & CIS) job opportunity at CloudLinux.

Home Jobs In Serbia Tag: Europe & CIS) AI-Agentic Product Owner (remote-only, Europe & CIS) position at CloudLinux


Date2026-02-02T15:44:20.286Z bot
CloudLinux AI-Agentic Product Owner (remote-only, Europe & CIS)
Experience: 3-years
Pattern: Full-time
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Europe & CIS)

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loacation Belgrade, Serbia
loacation Belgrade....Serbia

CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. We are truly a great place to work! We are looking for an AI-Agentic Product Owner to join the Alternatives & EasyApache Team on the CloudLinux OS Web Stack project within ELS.  Endless Lifecycle Support (ELS) enables organizations to continue securely using Linux distributions and software languages that have reached the end of life or no longer receive standard security support – delivering vulnerability patches for unsupported versions of CentOS, Ubuntu, Debian, Oracle Linux, PHP, Python, Spring frameworks, Angular/AngularJS, Django, Flask. The alternative packages enable the installation of multiple versions of the same software on a single system and are utilized across various CloudLinux OS and Imunify360 components. While EasyApache packages are originally part of the cPanel product, our team enhances them to ensure greater security and seamless compatibility with CloudLinux OS. For more information, visit our website: https://tuxcare.com/endless-lifecycle-support/ We are moving away from the traditional “feature factory” model toward autonomous, end-to-end product units. As the AI-Agentic Product Owner, you will orchestrate a high-velocity engineering team using AI-driven development. Instead of spending time in long alignment meetings, you will focus on shipping product by cutting through bureaucratic overhead and technical debt. In this role, you will drive the adoption of AI tools such as Claude, Cursor, ChatGPT, and Gemini across the team and integrate AI into everyday engineering workflows - from development and testing to documentation and operations - to accelerate delivery, improve quality, and reduce manual effort while maintaining strong technical standards. As an AI-Agentic Product Owner, you will own the full lifecycle of package development and apply AI-assisted practices to improve the team’s productivity and engineering quality: Stakeholder collaboration: Communicate with stakeholders and coordinate with support and other teams to resolve client issues; use AI where helpful to summarize context, draft responses, and maintain internal knowledge. Automation and efficiency: Drive automation of routine tasks such as version updates, patch management, monitoring, and testing, using AI tools to accelerate scripting, code review, and documentation. Technical collaboration: Work closely with engineers on Linux-based systems and infrastructure, helping guide technical decisions, automation strategies, and packaging workflows. Operational improvement: Identify opportunities where AI can reduce operational toil, improve consistency, or surface issues earlier (e.g., code review support, CVE triage, dependency analysis). Release management: Participate in release management and use AI-assisted tooling to support release notes, changelogs, and release communication. Quality engineering: Design and maintain automated test suites; leverage AI to generate, extend, and refactor tests and to analyze test failures. Agile delivery: Own Scrum execution and Jira workflow management, ensuring efficient and transparent delivery processes. Process development: Build and improve team workflows, documentation, and operational runbooks, using AI where it helps create clearer and more consistent processes. AI adoption leadership: Lead the team’s adoption of AI tools (Claude, Cursor, ChatGPT, Gemini), share effective prompt patterns and workflows, and track improvements in cycle time, productivity, and quality while ensuring outputs are properly reviewed. To thrive in this role, you need: Agentic Leadership: You lead by doing. You have 3+ years of experience leading teams, but your focus is on Delivery, not "Calibration Sessions." AI-First Orchestration: You don't just "use" ChatGPT; you have a deep workflow with tools like Cursor and LLM agents to accelerate the SDLC. You understand how to use AI to bypass manual documentation and "Copy-Paste" engineering. Systemic Automation: Extensive experience implementing automation that actually removes humans from the loop. If it can be scripted in Shell or Python, it shouldn't be a manual task. Linux/Infrastructure Backbone: 3+ years of deep GNU/Linux experience. You understand how the machine works under the hood so you can lead your  infrastructure pivots  without waiting for a separate DevOps help. Candid Communication: You have the leadership weight to intercept bad ideas and the "Upper-Intermediate+" English to communicate a United Vision across the organization.

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