AI Product Manager
Confirmed live in the last 24 hours
nix
Job Description
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:
Product Strategy & Roadmap
- 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.
AI & Agentic Infrastructure Ownership
- 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.
Backlog & Delivery Management
- 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.
Stakeholder Alignment & Communication
- 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.
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 gate automation, testing framework improvements, and CI/CD pipeline coverage as product-level acceptance criteria.
Key Skills & Requirements:
Product Ownership
- 3+ 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 & Techn
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