Descrição da vaga
<p>N-iX is looking for <strong>AI Product Manager / Senior Product Manager</strong> to join the team</p>
<p><strong>About the Role:</strong><br><br>AI Product Manager responsible for driving the success of AI products by combining expertise in product management principles with a deep understanding of AI technologies and their applications.</p>
<p>We are looking for an AI-savvy Product Manager to join the project programme for our Client. The Engineering team builds and maintains a framework-agnostic UI component library used across Client’s software products, and is now actively embedding AI-assisted workflows, MCP-based agentic infrastructure, and automated SDLC tooling into its engineering practice.</p>
<p>In this role you will own the product backlog, define and prioritise the roadmap for AI-enhanced capabilities, align cross-functional stakeholders (engineering, architecture, Client’s PMs), and drive measurable delivery outcomes in a fast-moving agentic tooling context.</p>
<p><strong>About the Client:</strong></p>
<p>Our Client is the largest engineering company in Europe, and holds the position of global market leader in industrial AI, automation, and industrial software.</p>
<p>Become a part of Client’s innovation department which is creating and managing cutting-edge technical architectures, serves as a shared platform for research and development within Client's large organization. It primarily focuses on research and development including broad incorporation of Artificial Intelligence (AI), cloud-based software, high-performance computing, etc.</p>
<p> </p>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>Define and maintain the AI product roadmap for the UI component library product, aligned with Client’s Digital Innovation department’s strategic objectives.</li>
<li>Translate business goals and engineering insights into a prioritised, well-groomed backlog using PMBOK and agile best practices.</li>
<li>Lead quarterly UI component library roadmap reviews with stakeholders and N-iX leadership.</li>
<li>Own the product definition for AI-integrated SDLC tooling: issue analysers, GitLab analytics skills, Claude Code agents, MCP server configurations, and automated reporting pipelines.</li>
<li>Work closely with the UI Architect, Engineering Leads to evaluate and prioritise new AI capabilities for integration into the UI component library development lifecycle.</li>
<li>Define acceptance criteria for agentic features, including observable behaviour, error handling, and handoff points between human and AI agents.</li>
<li>Manage and refine a complex backlog spanning UI components, AI tooling, DevOps automation, and platform quality.</li>
<li>Coordinate and execute releases planning and scope management</li>
<li>Aligning on business needs, performing AI-analysis for advancing the prioritization process, ensuring the issues and new features are structured and validated with business stakeholders/consumers.</li>
<li>Act as the primary bridge between Client’s product stakeholders and the vendor’s and N-iX’s engineering teams, ensuring clear, timely, and transparent communication.</li>
<li>Produce executive-level product roadmaps reports aligned to Company’s brand guidelines.</li>
<li>Identify, track, and escalate risks and dependencies in the delivery timeline.</li>
<li>Maintain the consumer-facing UI component library roadmap based on user requests and feedback; facilitate correction actions for input requirements from component consumers.</li>
<li>Champion quality gate automation, testing framework improvements, and CI/CD pipeline coverage as product-level acceptance criteria.</li>
</ul>
<p> </p>
<p><strong>Requirements:</strong></p>
<p><strong>Product Ownership</strong></p>
<ul>
<li>5+ years of experience as a Product Owner or Product Manager in a software engineering environment.</li>
<li>Proven track record of managing complex backlogs with competing priorities across multiple workstreams.</li>
<li>Strong command of agile frameworks (Scrum, Kanban) and PMBOK knowledge areas.</li>
</ul>
<p><strong>AI & Technical Fluency</strong></p>
<ul>
<li>Working knowledge of AI/LLM-powered tooling - including prompt engineering, agentic workflows, and MCP (Model Context Protocol) concepts.</li>
<li>Ability to define product requirements for AI features without requiring deep ML expertise; comfort working alongside AI infrastructure and agent teams.</li>
<li>Familiarity with modern SDLC automation: CI/CD pipelines, GitLab, automated code review, AI-assisted issue triage, and analytics-driven PM.</li>
</ul>
<p><strong>Stakeholder & Delivery Management</strong></p>
<ul>
<li>Demonstrated ability to manage enterprise stakeholders in a distributed, multi-vendor delivery model.</li>
<li>Experience translating technical delivery progress into executive-ready communications (status reports, roadmap decks, risk registers).</li>
<li>Data-driven mindset: comfortable with delivery metrics (cycle time, throughput, burndown, eNPS) as inputs to backlog prioritisation.</li>
</ul>
<p><strong>Communication & Documentation</strong></p>
<ul>
<li>Excellent written and verbal communication in English (business-level required; C1+).</li>
<li>Ability to produce well-structured PRDs, discovery outputs, acceptance criteria, and stakeholder presentations.</li>
</ul>
<p> </p>
<p><strong>Nice to have:</strong></p>
<ul>
<li>Experience with UI platform or design system products (component libraries, Stencil.js, web components).</li>
<li>Familiarity with MCP server architecture, LLM agent orchestration frameworks (LangChain, Semantic Kernel, CrewAI), or agentic infrastructure patterns.</li>
<li>Background working within large enterprise engineering organisations.</li>
<li>Experience using AI-powered PM analytics or GitLab data pipelines for project health reporting.</li>
<li>Proficiency with data visualisation tools (Power BI, Grafana, custom HTML/PDF reports).</li>
</ul>
<p> </p><div class="content-conclusion"><p><strong>We offer*:</strong></p>
<ul>
<li>Flexible working format - remote, office-based or flexible</li>
<li>A competitive salary and good compensation package</li>
<li>Personalized career growth</li>
<li>Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)</li>
<li>Active tech communities with regular knowledge sharing</li>
<li>Education reimbursement</li>
<li>Memorable anniversary presents</li>
<li>Corporate events and team buildings</li>
<li>Other location-specific benefits</li>
</ul>
<p>*not applicable for freelancers</p></div>