AI Product Manager / Senior Product Manager

About the Position

N-iX is looking for an AI Product Manager / Senior Product Manager to join the team for a Fortune 500 global tech innovator based in Europe, Ukraine. This role is available in an office/remote work type.

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).

We Offer

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers