Digitale Leute School

Product Manager

• Product Strategy & Discovery
• Product Vision & Strategy
• User Centricity
• User Research & Interviews
• Ideation & Problem–Solution Fit
• Business Models & Product–Market Fit
• Lean Product Management
• Product Goals with OKRs
• Product & UX Design
• Product Delivery & Stakeholder Management
• Product Analytics & Testing
• Career coaching

Junior Product Manager

Artificial Intelligence

• From developer to co-creator: as AI takes over repetitive coding tasks, your strategic influence on product development grows.
• You will learn to analyze business models and user needs, formulate hypotheses, and translate your findings into roadmaps and product-oriented backlogs.
• Architecture & responsibility in the AI era: you will build software that not only works but is structured and sustainable long-term—based on proven architecture principles and modern patterns.
• You will identify risks associated with AI deployment, monitor AI decisions, and keep an eye on costs, API limits, and system performance.
• AI-powered development & deployment: you will use modern AI tools to develop stable prototypes or complete MVPs, automate testing, and deploy safely.
• You will monitor AI decisions—from quality and compliance with your requirements to observability in production.
• Orchestrate AI as a team member: you will apply AI strategically within the team, develop agents for different tasks, and orchestrate their collaboration. You will automate workflows and integrate company data via established frameworks such as LangChain or MCP—delivering real AI features that add value.

Junior Software Developer, AI

• Vom Entwickler zum Mitgestalter: Während AI repetitive Coding-Aufgaben übernimmt, wächst dein strategischer Einfluss in der Produktentwicklung.
• Du lernst, Geschäftsmodelle und Nutzerbedürfnisse zu analysieren, Hypothesen zu formulieren und deine Erkenntnisse in Roadmaps und produktnahe Backlogs zu überführen.
• Architektur & Verantwortung im AI-Zeitalter: Du entwickelst Software, die nicht nur funktioniert, sondern strukturiert und langfristig tragfähig ist – auf Basis bewährter Architekturprinzipien und moderner Patterns.
• Dabei identifizierst du Risiken beim Einsatz von AI, überwachst deren Entscheidungen und behältst Kosten, API-Limits und System-Performance im Blick.
• AI-gestützte Entwicklung & Deployment: Du nutzt moderne AI-Tools, um stabile Prototypen oder komplette MVPs zu entwickeln, automatisiert zu testen und sicher zu deployen.
• Dabei behältst du die AI-Entscheidungen im Blick – von der Qualität und Einhaltung deiner Anforderungen bis hin zur Observability im Livebetrieb.
• Orchestriere AI als Teammitglied: Du setzt AI gezielt im Team ein, entwickelst Agenten für verschiedene Aufgaben und orchestrierst deren Zusammenarbeit.
• Dabei automatisierst du Workflows und bindest Unternehmensdaten über etablierte Frameworks wie LangChain oder MCP ein – für echte AI-Features mit Mehrwert.

Junior Software Entwickler, AI

Software Engineer

• From developer to co-creator: as AI takes over repetitive coding tasks, your strategic influence on product development grows.
• You will learn to analyze business models and user needs, formulate hypotheses, and translate your findings into roadmaps and product-facing backlogs.
• Architecture & responsibility in the AI era: you will build software that not only works but is structured and sustainable long-term—based on proven architectural principles and modern patterns.
• You will identify risks when using AI, monitor AI decisions, and keep an eye on costs, API limits, and system performance.
• AI-assisted development & deployment: you will use modern AI tools to develop stable prototypes or complete MVPs, automate testing, and deploy securely.
• You will keep track of AI decisions—from quality and requirement compliance to observability in live operation.
• Orchestrate AI as a team member: you will apply AI strategically within the team, develop agents for various tasks, and orchestrate their collaboration. You will automate workflows and integrate company data using established frameworks such as LangChain or MCP—for real AI features that add value.