June 9, 2026
AI Product Manager
Mid • Remote
5,000 - 5,700 USD
Krakow, Poland
(#5027)
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 & 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).
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
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Warsaw, Poland
30,000 - 34,000 PLN
🏢 Summary: Senior Full Stack Engineer role focused on building and owning end-to-end product features for an AI-driven platform that automates complex business processes. The position involves developing frontend and backend solutions, designing APIs, improving performance and usability, and leveraging AI tools in daily engineering work. The role is office-based in Warsaw and requires strong product thinking and production-level experience. 🗂️ Requirements: Senior-level experience building production web applications, Strong knowledge of React and TypeScript or similar frontend framework, Experience designing and developing backend APIs and application logic, Ability to build and maintain frontend and backend features end-to-end, Experience working with production environments and monitoring released features, Daily use of AI tools for development and problem-solving, Strong understanding of code quality, testing, and long-term ownership 📃 Skills: React, TypeScript, JavaScript, API, REST, Node.js, Python, GitHub, Copilot, Claude, OpenAI, Codex, TypingMind, MCP, AI 🏢 Description: About Us Many companies want to use AI agents, but these agents often have problems with complex business tasks. We help solve this issue. Our platform understands company rules, processes, and workflows, so AI can make better decisions instead of only giving simple answers. This allows businesses to use AI that is accurate, follows company policies, and can be trusted. Well-known companies use our technology to automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that used to take hours in just a few seconds. We work with leading technology partners and have received industry recognition for our innovative approach. Our mission is to give people better answers everywhere. About the Role We are looking for a Senior Full Stack Engineer with strong product thinking. In this role, you will own features from start to finish. You will understand user needs, plan solutions, build frontend and backend functionality, release new features, and improve them based on user feedback. You should feel comfortable working on user interfaces, APIs, and production quality while collaborating with product and design teams. Location: Warsaw (office-based). Responsibilities Build and deliver product features across both frontend and backend. Turn product ideas into practical and effective solutions. Work with user interfaces, business logic, APIs, and data flows. Cooperate closely with product managers and designers, even when requirements are still developing. Improve usability, performance, reliability, and overall user experience. Monitor released features and use production data to make improvements. Use AI tools every day to work faster and improve engineering processes. Maintain high standards for code quality, testing, and long-term ownership. Requirements Strong experience as a senior engineer building production web applications. Good knowledge of React, TypeScript, or a similar modern frontend framework. Experience designing and developing backend APIs and application logic. Strong product mindset with the ability to identify and improve weak user experiences. Good decision-making skills when balancing scope, speed, and technical quality. Clear communication and teamwork across engineering, product, and design. Daily experience using AI tools for development and problem-solving. Nice to Have Experience building AI-powered products such as chat, search, recommendation systems, workflows, or AI agents. Knowledge of Python, Node.js, or both. Experience owning product areas independently. Understanding of performance optimization, accessibility, and high-quality web applications. What We Offer B2B contract and company stock options. MacBook Pro for work. Modern technology stack with opportunities to contribute to open-source projects. Advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. Why Join Us Our leadership team has strong experience in knowledge management and AI. We have raised more than $60 million in funding and achieved three years of continuous 3x growth. Our work is guided by these core values: Quality: We aim for excellent craftsmanship and high standards in everything we build. Momentum: We take initiative and keep projects moving forward. Accountability: We take responsibility, give honest feedback, and support each other. Hard Work: We believe difficult goals require dedication and teamwork. Learning Agility: We stay curious, learn from mistakes, and keep improving. Adapt and Thrive: We accept change and see challenges as opportunities. Win Together: We succeed as a team through honesty, openness, and shared commitment.