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 AIResponsibilities:Distill the signal from noise: Parse verbose, domain-specific user feedback to identify the real underlying problemsTriage incoming streams: Manage user feedback, bug reports, and logic change requests across 3 applications simultaneouslyWrite crisp user stories: Create clear, actionable Azure DevOps user stories with acceptance criteria that developers can immediately execute onPrioritize ruthlessly: Make fast prioritization decisions in daily prioritization sessions—no time for lengthy backlog grooming ceremoniesPropose solutions: Don't just surface problems—bring solution hypotheses backed by user understanding and technical feasibilityPrototype 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 clearlyIterate based on feedback: Test assumptions quickly, adjust, and move forward without getting stuck in analysis paralysisBe the dev team's partner: Answer questions swiftly, unblock developers, clarify edge cases on the flyFacilitate smooth delivery: Keep things moving—your success metric is reliable, on-time deliveryEngage stakeholders when needed: Calibrate with auditors and business stakeholders to validate domain logic and prioritiesDaily standups & sporadic syncs: Participate in lightweight, high-signal team rituals—no ceremony for ceremony's sakeStay current with AI capabilities: Understand the latest LLM models (GPT-5, Claude 4.5, Gemini 2.5, etc.) and their tradeoffsDesign AI workflows: Think through prompt engineering, context management, error handling, and user feedback loopsOptimize 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 productsVibe-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 workFluent 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 eachAI workflow design: Experience designing products that incorporate AI components—prompt engineering, context windows, chaining, error handlingUX/UI fundamentals: Solid grasp of good design practices, information architecture, and user-centered design—enough to create wireframes and evaluate interface decisionsRapid prototyping mindset: Comfortable working without pixel-perfect designs; can translate concepts into working mockups independentlyClear, concise communication: Can explain complex technical concepts simply, write crisp requirements, and facilitate productive conversationsHighly self-organized: Thrives in ambiguous, fast-moving environments; doesn't need handholding or detailed processes to stay productiveComfortable with Azure DevOps (or similar tools) for user story management and backlog trackingAvailable 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 toolsMCP (Model Context Protocol) knowledge: Understanding of MCP servers and how to leverage them in AI application architectures or own workflowsAudit domain knowledge: Background in Big 4 accounting, financial auditing, or regulatory compliance—helps you understand user context fasterTechnical 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 landscapesFamiliarity with modern frontend frameworks (React, Vue, etc.) beyond basic HTML/CSS/JS Offer:Private medical careCo-financing for the sports cardTraining & learning opportunitiesConstant support of dedicated consultantEmployee referral program