Senior Product Owner (AI & Legacy Evolution)

The Project: Internal Support Tools Evolution  

You are joining an initiative focused on the evolution modernization of the Internal Application Landscape. This project involves the strategic transition of well-known cloud services and architectures into a next-generation AI-augmented and cloud-native software landscape. 

Our goal is not simply to maintain the existing system but to proactively transform itensuring sovereignty high-performance scalability and seamless handover readiness through disciplined engineering. 

Our Engineering Philosophy 

We operate at the intersection of Legacy Stability and Modern Innovation. Our approach is defined by: 

• AI-Augmented Engineering: We utilize advanced AI development environments (such as Cursor Windsurf and Claude Code) and cutting-edge model families to accelerate code comprehension refactoring and documentation. 

• Disciplined SDLC Patterns: We move beyond traditional development by implementing repeatable evidence-based SDLC patterns. Every change is backed by structured engineering evidence and rigorous automated testing. 

• The Strangler Fig Modernization: We prioritize risk-mitigated evolution using sophisticated patterns to wrap refactor and eventually replace legacy components. 

• High-Seniority Autonomy: We operate as a lean highly autonomous unit. We value technical detectives who can navigate ambiguity and perform deep reverse engineering. 

Mission

To lead the evolution of the Internal Application Landscape by designing repeatable SDLC patterns that bridge the gap between legacy OpenStack-derived services and next-generation AI-assisted software engineering. You will ensure that the transition from legacy architectures to modern AI-integrated platforms delivers maximum business value while maintaining rigorous engineering evidence. 

Role Focus

This role anchors the engineering approach for repository-scale understanding and sovereign software handover. You will focus on defining AI-assisted SDLC patterns for repository intake service mapping and engineering evidence generation ensuring that coding agents and open-weight models are used to accelerate refactoring and documentation without compromising confidentiality. 

Key Responsibilities 

• AI-Assisted SDLC Pattern Definition: Lead the design of patterns for repository intake code exploration build diagnosis and engineering evidence generation using AI-driven workflows. 

• Strategic Roadmap & Prioritization: Manage and prioritize the Product Backlog making critical decisions on the balance between Run (maintaining OpenStack-derived services) and Change (modernizing via AI-assisted refactoring). 

• AI Model Evaluation: Guide the evaluation and operationalization of AI development platforms and approved coding model stacks (e.g. DeepSeek Qwen Mistral) for secure enterprise use cases. 

• Stakeholder Orchestration & Handover: Produce senior stakeholder-ready artifacts including transition risks service decomposition views and structured evidence templates for sovereign software handover. 

• Human-in-the-loop Governance: Establish quality gates prompt libraries and reusable review patterns to validate AI-generated engineering outputs. 

• Rapid Prototyping: Utilize Microsoft PowerApps to quickly prototype business logic workflows and validate requirements with stakeholders. 

Qualifications :

• Experience: 7 years in Product Ownership or Senior Business Analysis ideally in complex cloud-native or AI-driven software environments. 

• Technical Literacy: Deep understanding of the SDLC API-led architectures and the complexities of managing technical debt in legacy/OpenStack environments. 

• AI Mindset: Familiarity with how LLM capabilities and agentic workflows can be used to enhance product evolution and operational efficiency. 

• Core Competencies: Exceptional analytical skills ability to navigate extreme ambiguity and expertise in translating black-box legacy logic into structured requirements. 

• Tooling: Proficiency in Jira/Azure DevOps SQL and experience with AI-assisted productivity tools. 

• Power Platform: Hands-on experience or strong interest in using Microsoft PowerApps for rapid prototyping. 

Additional Information :

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

Remote Work :

No

Employment Type :

Full-time