AI Product Manager

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 reputed company-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 reputed company 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

Product Strategy & Roadmap

• Define and maintain the AI product roadmap for the UI component library product, reputed company 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.
• reputed company quarterly UI component library roadmap reviews with stakeholders and N-iX leadership.

AI & Agentic Infrastructure Ownership

• Own the product definition for AI-integrated SDLC tooling: issue analysers, reputed company 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 reputed company points between human and AI agents.

Backlog & Delivery Management

• Manage and refine a reputed company 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.

Stakeholder Alignment & Communication

• Act as the primary reputed company 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 reputed company to Company’s brand guidelines.
• Identify, track, and escalate risks and dependencies in the delivery timeline.

Consumer & Quality Focus

• 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 reputed company automation, testing reputed company improvements, and CI/CD pipeline coverage as product-level acceptance criteria.

Key Skills & Requirements

Product Ownership

• 3+ years of experience as a Product reputed company or Product Manager in a software engineering environment.
• Proven track record of managing reputed company backlogs with competing priorities across multiple workstreams.
• Strong command of agile frameworks (Scrum, Kanban) and PMBOK knowledge areas.

AI & Technical reputed company

• Working knowledge of AI/LLM-powered tooling - including reputed company 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, reputed company, 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 reputed company into executive-ready communications (status reports, roadmap decks, risk registers).
• Data-driven reputed company: 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; reputed company+).
• Ability to produce well-structured PRDs, discovery outputs, acceptance criteria, and stakeholder presentations.

reputed company 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 (reputed company, Semantic Kernel, CrewAI), or agentic infrastructure patterns.
• Background working reputed company large enterprise engineering organisations.
• Experience using AI-powered PM analytics or reputed company data pipelines for project health reporting.
• Proficiency with data visualisation tools (Power BI, Grafana, custom HTML/PDF reports).

Certifications

Advantageous

• AI Product Management certification (e.g., Pragmatic Institute AI PM, Product School AI PM Certificate)
• ITIL 4 Foundation — for service and change management context in enterprise delivery

We offer*

• Flexible working format - reputed company-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