Additionalinformation

Additional Information

Benefits

We believe in balance between work and personal life. An attractive and extensive work-life balance portfolio guarantees lasting motivation for employees and thus a better quality of life, promotes physical and mental well-being and contributes to a positive work environment. All this with the aim of providing more freedom in reconciling work, career growth, private life and individual lifestyle. Therefore we offer to our employees over 25 different benefits to improve their personal and professional life in these areas:

• Financial benefits
• Benefits with focus on learning and development
• Benefits with focus on health and sport
• Benefits with focus on family and work – life balance
• Other benefits

For more information about our benefits click to Benefits

Salary

Final salary is negotiable.

We are offering base salary depending on seniority level and previous experience of candidate. In addition to base salary we provide variable part and other financial benefits. Base salary will not be lower than 1820 € /brutto.

Additional information

• Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation.

Companydescription

Company Description

Our brand Deutsche Telekom IT Solutions Slovakia entered the life of Košice region in 2006 under the name of T-Systems Slovakia and ever since has been inextricably linked with the region when became one of the founding members of Košice IT Valley. We have managed to grow from scratch to the second largest employer in the eastern part of the country with more than 3900 employees. Our goal is to proactively find new ways to improve and continuously transform into the type of company providing innovative information and communication technology services.

Jobdescription

Job Description

Purpose

As AI Product Manager for Intelligent Learning Experiences, you will build digital products reaching 50,000+ employees a year — experiences that feel more like modern consumer products than traditional corporate training.

You will start with real user and business problems, work backwards to the right technology, and turn promising ideas into products people use and value

WHAT WILL YOU DO?

• Own the product vision and roadmap for intelligent learning experiences — from discovery and prototyping to launch, adoption and continuous improvement.
• Identify problems worth solving through user research, product data and close collaboration with employees, leaders and business teams, understanding the complex internal offering available to employees.
• Translate ambiguous needs into clear product hypotheses, intuitive user journeys and testable prototypes.
• Design and deliver integrated, user-centric, simplified AI-first experiences such as personalised journeys, virtual coaches, agents and smart simulations — using LLMs and AI where they create real user value, not simply because the technology is available.
• Prototype early with tools such as Figma, Copilot Studio or comparable AI and no-code environments, and use evidence to improve the concept before scaling it.
• Work closely with designers, engineers, architects and data specialists and many other internal cross-functional stakeholders to make sound decisions about user experience, APIs, data flows, LLM interactions, integrations, evaluation and guardrails in a complex, ambiguous landscape with conflicting incentives.
• Embed products into platforms employees already use, including Teams, the intranet and our enterprise AI environment.
• Own the feedback & improvement backlog, prioritize trade-offs and define and continuously drive iterative success through adoption, user outcomes, skill development and business impact — not only launches or course completions.

Qualifications

YOU WILL SUCCEED IF YOU:

• have 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.
• combine strong product judgement with real UX sense: you talk to users, simplify complexity and care about how the complete experience feels.
• are technically fluent. You do not need to be a software engineer, but you understand how APIs, data, LLMs and interfaces fit together and can work credibly with engineers to turn ideas into products.
• are AI-native in practice: you actively work with LLMs and modern AI tools, understand their possibilities and limitations, and use them to prototype and rethink product experiences. Experience with conversational interfaces, agents or AI-powered product features is part of your toolkit.
• are a builder who is comfortable with ambiguity — you make ideas tangible, test assumptions, learn from usage and iterate quickly.
• are data-literate and use qualitative and quantitative evidence to prioritize decisions and demonstrate impact.
• communicate clearly in English and work effectively across product, design, technology and other corporate business teams. You adapt your communication style to your counterparts and achieve outcomes with polite persistence despite roadblocks.
• have the ability to understand a complex corporate landscape and chart a feasible course of action that is both realistic for stakeholders and drives tangible value, combining organizational and technical insights.
• are curious about human learning and performance, but you are not constrained by traditional L&D models.

Nice to have:

• deeper hands-on experience with retrieval and RAG, agentic architectures, AI evaluation, model selection, responsible-AI guardrails, personalization engines or deploying AI products in an enterprise environment.

Show us how you think

Alongside your application, briefly show us one product, feature or prototype you helped build: What problem did it solve? What did you personally own? What did you learn from users or data? If AI was involved, why was it the right choice?