Senior AI-First Product Owner

Godel Technologies Europe is a company specializing in delivering agile at scale and building mission critical products for leading UK brands. Headquartered in Manchester, UK, it has over 1.5k employees across Europe, with 1.2k people in five offices in Poland including Łódź. Their clients include SHELL Energy, the Gym Group, Secret Escapes, ao.com, DealTrak, and theidol.com. The company delivers technical skills such as software development, artificial intelligence, mobile app development, quality management, platform engineering, data engineering and analytics, UX/UI design, agile software development, product and business analysis, advisory, legacy transformation, and penetration testing.

• 5+ years as a Business Analyst, Product Owner, Product Manager, or equivalent in software delivery
• Active daily use of AI tools (LLMs, coding assistants, or similar) in professional delivery work with specific workflows or practices beyond single-prompt usage
• Understanding of how LLMs and AI agents work, including context needs, multi-step task execution, failure points, and output validation
• Strong structured writing skills: clear documentation, well-organised specs, templates and frameworks usable by humans and agents
• Working experience with engineering teams: ability to read technical documentation, discuss system constraints, write actionable requirements
• Client-facing delivery experience: comfortable leading workshops, managing expectations, and presenting to senior stakeholders
• Familiarity with Agile delivery practices (Scrum, Kanban) and standard BA/PO tooling (Jira, Confluence, Miro, or similar)
• Clear communication skills in English (B2+), both written and spoken

Nice to have:

• Jira
• Confluence

• Own requirements end-to-end: discovery, analysis, documentation, validation and acceptance
• Manage and prioritise product backlogs; coordinate with engineering and design
• Work directly with clients in English: elicit requirements, manage expectations, present deliverables
• Produce structured context docs (domain rules, stakeholder decisions, technical constraints, edge cases) usable by teams and AI agents
• Design agent workflows for recurring BA/PO tasks: inputs, instructions/skills, sequence, outputs and quality gates
• Run multiple agent-assisted workstreams in parallel and integrate outputs
• Validate agent output and continuously improve prompts, context structures and workflows
• Contribute to the team’s AI-first delivery methodology: templates, workflow patterns, prompt libraries and validation frameworks