projectSuccessfully occupied
Rate
6 000 € - 8 000 €
/
month
The reward is calculated upon delivery of 20 MD per month (1MD=8h)
Form of cooperation
Freelance:
Full-time
Sector
Information Technology
Location
Bratislava, 50% Remote
Project duration
4-16 months with the possibility of extension
Period of cooperation
30.11.2026
- 31.03.2027
Start date
By agreement
Project duration
4-16 months with the possibility of extension
Period of cooperation
30.11.2026
- 31.03.2027
Start date
By agreement
Languages
-
English
-
active, B2/C1/C2
Project description
- creation and ongoing updating of product strategy and roadmap for the AI product portfolio
- identification of business processes and problems where AI can bring measurable value
- evaluation of AI opportunities based on business value, technical feasibility, data availability, and adoption risks
- prioritization of product initiatives and decision-making on stopping projects with low expected value
- planning of product budget and deciding between purchasing existing solutions, low-code platforms, and in-house development
- leading product discovery, including analysis of user needs, existing processes, current KPIs, and defining expected results
- design of appropriate AI product architecture for specific problems, including Copilot solutions, RAG, agent workflows, automation, and predictive models
- preparation of functional and technical requirements for development teams, including defining data sources, APIs, tools, human-in-the-loop control points, and fallback scenarios
- creation of product specifications, user stories, and user interface requirements, including working with AI outputs that may not always be correct
- definition of evaluation criteria for AI products, including accuracy, groundedness, task completion success, latency, and cost per interaction
- collaboration with the AI/Algorithm team in creating golden datasets and setting up evaluation mechanisms
- approval of releases based on offline evaluation, shadow testing, and A/B testing, not just on demonstrative results
- monitoring the quality of AI products after deployment, identifying quality drift, and coordinating corrective actions
- product backlog management, iteration planning, task prioritization, and release cycle coordination
- ensuring the deployment of AI products, including preparation of training materials, user guides, and adoption support
- evaluation of product usage, achieved business benefits, and user feedback
- implementation of AI governance principles, including data protection, prompt and model versioning, auditability, and responsible AI use
- definition of reusable product and technological patterns for further AI initiatives within the company
- monitoring the AI technology market and evaluating new opportunities from the perspective of costs, technological dependency (vendor lock-in), and long-term sustainability
Project requirements
- min. 6 years of project experience in product management and technological solutions, of which min. 4 years in the position of Product Manager
- knowledge of enterprise APIs and data sources
- experience with product discovery, identification of business needs, and defining measurable product goals
- ability to set quality criteria for AI products and evaluate them based on data and test results
- experience with tools for creating product designs and prototypes, e.g., Figma or Axure
- ability to explain technical possibilities, limitations, and compromises to business stakeholders in an understandable way
- experience with iterative product development and working in an environment with changing requirements
- practical knowledge and experience with:
- LLM applications and prompting
- Retrieval-Augmented Generation (RAG)
- AI agents, agent workflows, and tool calling
- fine-tuning and its use compared to other LLM adaptation methods
- evaluation of AI/LLM solutions and measuring their quality
- creating rapid AI prototypes and verifying technological feasibility
- experience with creating product strategy, roadmaps, and managing product backlogs
- ability to define product requirements and prepare detailed specifications for AI development teams
- experience with enterprise platforms, especially:
- Microsoft Copilot Studio
- Azure OpenAI
- Microsoft 365
- Power Platform
- ServiceNow
- advantageous experience with:
- creating AI agents or Copilot solutions yourself through Copilot Studio, Power Platform, or similar tools
- technical consulting, solution architecture, or enterprise product management
- change management, supporting adoption of new technologies, and measuring their usage
- redesign and optimization of business processes
- knowledge of SQL or Power BI for analyzing product data and evaluating KPIs
- experience with products for Shared Services, Operations, or Enterprise Support areas
- analytical thinking
- ability to cooperate in an international environment
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Are you interested in this project?
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