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Розташування:

N-iX is looking for AI Product Manager / Senior Product Manager to join the team
About the Role:

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.
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.
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.
About the Client:
Our Client is the largest engineering company in Europe, and holds the position of global market leader in industrial AI, automation, and industrial software.
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.

Responsibilities:
Define and maintain the AI product roadmap for the UI component library product, aligned with Client's Digital Innovation department's strategic objectives.
Translate business goals and engineering insights into a prioritised, well-groomed backlog using PMBOK and agile best practices.
Lead quarterly UI component library roadmap reviews with stakeholders and N-iX leadership.
Own the product definition for AI-integrated SDLC tooling: issue analysers, GitLab analytics skills, Claude Code agents, MCP server configurations, and automated reporting pipelines.
Work closely with the UI Architect, Engineering Leads to evaluate and prioritise new AI capabilities for integration into the UI component library development lifecycle.
Define acceptance criteria for agentic features, including observable behaviour, error handling, and handoff points between human and AI agents.
Manage and refine a complex backlog spanning UI components, AI tooling, DevOps automation, and platform quality.
Coordinate and execute releases planning and scope management
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.
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.
Produce executive-level product roadmaps reports aligned to Company's brand guidelines.
Identify, track, and escalate risks and dependencies in the delivery timeline.
Maintain the consumer-facing UI component library roadmap based on user requests and feedback; facilitate correction actions for input requirements from component consumers.
Champion quality gate automation, testing framework improvements, and CI/CD pipeline coverage as product-level acceptance criteria.

Requirements:
Product Ownership
5+ years of experience as a Product Owner or Product Manager in a software engineering environment.
Proven track record of managing complex backlogs with competing priorities across multiple workstreams.
Strong command of agile frameworks (Scrum, Kanban) and PMBOK knowledge areas.
AI & Technical Fluency
Working knowledge of AI/LLM-powered tooling – including prompt engineering, agentic workflows, and MCP (Model Context Protocol) concepts.
Ability to define product requirements for AI features without requiring deep ML expertise; comfort working alongside AI infrastructure and agent teams.
Familiarity with modern SDLC automation: CI/CD pipelines, GitLab, automated code review, AI-assisted issue triage, and analytics-driven PM.
Stakeholder & Delivery Management
Demonstrated ability to manage enterprise stakeholders in a distributed, multi-vendor delivery model.
Experience translating technical delivery progress into executive-ready communications (status reports, roadmap decks, risk registers).
Data-driven mindset: comfortable with delivery metrics (cycle time, throughput, burndown, eNPS) as inputs to backlog prioritisation.
Communication & Documentation
Excellent written and verbal communication in English (business-level required; C1+).
Ability to produce well-structured PRDs, discovery outputs, acceptance criteria, and stakeholder presentations.

Nice to have:
Experience with UI platform or design system products (component libraries, Stencil.js, web components).
Familiarity with MCP server architecture, LLM agent orchestration frameworks (LangChain, Semantic Kernel, CrewAI), or agentic infrastructure patterns.
Background working within large enterprise engineering organisations.
Experience using AI-powered PM analytics or GitLab data pipelines for project health reporting.
Proficiency with data visualisation tools (Power BI, Grafana, custom HTML/PDF reports).

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