Product Manager with AI

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:

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 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