Product Manager with AI

Responsibilities:

• Distill the signal from noise: Parse verbose, domain-specific user feedback to identify the real underlying problems
• Triage incoming streams: Manage user feedback, bug reports, and logic change requests across 3 applications simultaneously
• Write crisp user stories: Create clear, actionable Azure DevOps user stories with acceptance criteria that developers can immediately execute on
• Prioritize ruthlessly: Make fast prioritization decisions in daily prioritization sessions—no time for lengthy backlog grooming ceremonies
• Propose solutions: Don't just surface problems—bring solution hypotheses backed by user understanding and technical feasibility
• Prototype rapidly: Sit down and vibe-code frontend logic/workflows to demonstrate how features should work (we don't have dedicated designers for every iteration)
• Create wireframes/mockups: Translate ideas into visual artifacts that communicate UX/UI intent clearly
• Iterate based on feedback: Test assumptions quickly, adjust, and move forward without getting stuck in analysis paralysis
• Be the dev team's partner: Answer questions swiftly, unblock developers, clarify edge cases on the fly
• Facilitate smooth delivery: Keep things moving—your success metric is reliable, on-time delivery
• Engage stakeholders when needed: Calibrate with auditors and business stakeholders to validate domain logic and priorities
• Daily standups & sporadic syncs: Participate in lightweight, high-signal team rituals—no ceremony for ceremony's sake
• Stay current with AI capabilities: Understand the latest LLM models (GPT-5, Claude 4.5, Gemini 2.5, etc.) and their tradeoffs
• Design AI workflows: Think through prompt engineering, context management, error handling, and user feedback loops
• Optimize for reliability: Balance innovative AI features with system uptime and predictable behavior

Requirements:

• 3-6 years of product management experience in SaaS, analytics, startups, or AI products
• Vibe-coding enthusiast: You can sit down and code up a working prototype (HTML/CSS/JS) to demonstrate UX flows—you don't need perfect production code, but you can make things work
• Fluent with GenAI: Deep understanding of LLM capabilities, limitations, and practical applications; you know the difference between GPT, Claude Sonnet, and smaller models, and when to use each
• AI workflow design: Experience designing products that incorporate AI components—prompt engineering, context windows, chaining, error handling
• UX/UI fundamentals: Solid grasp of good design practices, information architecture, and user-centered design—enough to create wireframes and evaluate interface decisions
• Rapid prototyping mindset: Comfortable working without pixel-perfect designs; can translate concepts into working mockups independently
• Clear, concise communication: Can explain complex technical concepts simply, write crisp requirements, and facilitate productive conversations
• Highly self-organized: Thrives in ambiguous, fast-moving environments; doesn't need handholding or detailed processes to stay productive
• Comfortable with Azure DevOps (or similar tools) for user story management and backlog tracking
• Available during EU/US business hours for team collaboration (remote-first culture)

Nice to have:

• AI-assisted coding tools: Experience with Claude Code, Cursor, Roo Cline, Windsurf, or similar AI coding assistants—you can ship faster by leveraging these tools
• MCP (Model Context Protocol) knowledge: Understanding of MCP servers and how to leverage them in AI application architectures or own workflows
• Audit domain knowledge: Background in PwC, Big 4 accounting, financial auditing, or regulatory compliance—helps you understand user context faster
• Technical depth: Ability to understand API design, data models, and technical architecture discussions (not required to write production code, but helpful for collaboration)
• Previous experience in B2B enterprise products with complex stakeholder landscapes
• Familiarity with modern frontend frameworks (React, Vue, etc.) beyond basic HTML/CSS/JS

Offer:

• Private medical care
• Co-financing for the sports card
• Training & learning opportunities
• Constant support of dedicated consultant
• Employee referral program