AI Product Manager

Location: Bratislava, Slovakia

ABOUT

Our client provides practical solutions related to Data and AI, Cloud Services, Robotics and digital Engineering and Business Process Management to their clients.

ROLE

Our client is seeking an experienced AI Product Manager to lead the strategy, development, and adoption of enterprise AI products.

The successful candidate will own the AI product lifecycle, from identifying high-value business opportunities and defining product roadmaps to delivering scalable AI solutions that generate measurable business impact. Working closely with AI engineering teams, IT delivery teams, and business stakeholders, this role requires a combination of strategic product thinking, technical AI knowledge, and strong execution capabilities.

RESPONSIBILITIES

AI Product Strategy & Roadmap

• Define and maintain the AI product roadmap, prioritizing opportunities based on business value, technical feasibility, data readiness, and adoption potential.

• Evaluate AI initiatives and recommend investment, optimization, or discontinuation based on measurable outcomes.

• Manage product budgets and assess build-versus-buy decisions, balancing packaged solutions, low-code platforms, and custom development.

Product Discovery & Solution Design

• Lead product discovery workshops to identify business challenges, user requirements, and success metrics.

• Select appropriate AI approaches, including copilots, retrieval-augmented generation (RAG), AI agents, workflow automation, and predictive solutions.

• Translate business needs into detailed product specifications covering data sources, API integrations, human oversight, fallback mechanisms, and user experience.

• Collaborate with designers and engineers to develop intuitive, reliable AI-powered experiences.

AI Quality & Performance

• Define evaluation frameworks covering accuracy, groundedness, task completion, latency, and operational costs.

• Work with AI engineering teams to establish evaluation datasets and testing methodologies.

• Coordinate offline evaluations, shadow testing, and A/B testing before production releases.

• Monitor production performance and address model quality degradation.

Product Delivery & Adoption

• Own product backlogs, sprint priorities, release planning, and continuous improvement.

• Coordinate product launches, user training, and change-management activities.

• Monitor adoption, user satisfaction, and realized business benefits.

• Incorporate user feedback and performance insights into future product iterations.

AI Governance & Scalability

• Embed data privacy, responsible AI, auditability, and model versioning into product development.

• Establish reusable AI product patterns and best practices across business functions.

• Monitor emerging AI technologies and evaluate their enterprise applicability, cost, scalability, and maintainability.

REQUIREMENTS

• Minimum 6 years of professional experience, including at least 4 years in product management.

• Strong practical understanding of LLM applications, prompt engineering, RAG, AI agents, tool calling, fine-tuning considerations, and AI evaluation methods.

• Experience developing AI prototypes and translating technical capabilities into business products.

• Strong product discovery, requirements definition, and documentation skills.

• Proficiency with product design tools such as Figma or Axure.

• Knowledge of enterprise AI platforms, including Microsoft Azure OpenAI, Copilot Studio, Power Platform, Microsoft 365, or .

• Familiarity with enterprise APIs, integrations, and business data systems.

• Excellent stakeholder management, communication, and decision-making skills.

• Ability to collaborate with technical teams while communicating complex concepts clearly to business stakeholders.

• Fluent written and spoken English and Chinese.

PREFFERED

• Hands-on experience building AI copilots or agents using Copilot Studio, Power Platform, or similar technologies.

• Background in technical consulting, solution architecture, or enterprise product management.

• Experience with organizational change management, adoption measurement, or business process optimization.

• Knowledge of SQL, Power BI, or other analytical tools.

• Experience in shared services, enterprise operations, or business support environments.