AI Product Manager (Intelligent Learning Experiences)

Location: Košice, Slovakia; hybrid workplace. Remote work is available only within Slovakia due to European taxation regulation.

Salary: Base salary from €1,820 gross; final salary is negotiable based on seniority and previous experience, with a variable component and other financial benefits.

Company

hirify.global provides innovative information and communication technology services and employs more than 3,900 people in the Košice region.

What you will do

• Own the product vision and roadmap for intelligent learning experiences from discovery and prototyping through launch, adoption and continuous improvement.
• Identify user and business problems through research, product data and collaboration with employees, leaders and business teams.
• Translate ambiguous needs into product hypotheses, user journeys and testable prototypes using tools such as Figma, Copilot Studio and comparable AI or no-code environments.
• Design and deliver AI-first experiences including personalised journeys, virtual coaches, agents and smart simulations using LLMs where they create user value.
• Collaborate with designers, engineers, architects, data specialists and internal stakeholders on UX, APIs, data flows, LLM interactions, integrations, evaluation and guardrails.
• Embed products into Teams, the intranet and the enterprise AI environment; manage the improvement backlog and optimize adoption, user outcomes, skill development and business impact.

Requirements

• Experience taking a digital product, feature or service from an unclear problem to a working solution in product management, product design, SaaS, enterprise software, edtech, gaming or a comparable environment.
• Strong product judgment and UX sense, including user conversations, simplification of complexity and attention to the complete experience.
• Technical fluency with APIs, data, LLMs and interfaces, with the ability to work credibly with engineers.
• Practical experience with LLMs and modern AI tools, including their possibilities and limitations; conversational interfaces, agents or AI-powered product features are part of the expected toolkit.
• Ability to build, test assumptions, learn from usage and iterate quickly in ambiguous environments.
• Data literacy and the ability to use qualitative and quantitative evidence to prioritize decisions and demonstrate impact.
• Clear English communication and effective collaboration across product, design, technology and corporate business teams.
• Ability to understand a complex corporate landscape and combine organizational and technical insights to drive feasible, valuable solutions.
• Curiosity about human learning and performance without being constrained by traditional L&D models.

Nice to have

• Hands-on experience with retrieval and RAG, agentic architectures, AI evaluation, model selection, responsible-AI guardrails, personalization engines or enterprise AI product deployment.

Culture & Benefits

• Hybrid work arrangement with remote work limited to Slovakia.
• More than 25 benefits supporting financial well-being, learning and development, health and sport, family and work-life balance.
• Work-life balance initiatives supporting physical and mental well-being, career growth and personal life.
• Variable compensation and additional financial benefits alongside the base salary.

Hiring process

• Alongside the application, briefly present one product, feature or prototype helped to build, including the problem solved, personal ownership, user or data learnings and, if applicable, why AI was the right choice.