Google Tag Manager Experts in Munich

• Clarification of project objectives, scope and the target business vision for building the AI-based knowledge database.
• Derivation of the initial architecture and implementation strategy for the Zasterbot chatbot, including separation of the MVP and further development stages.
• Development of a target business vision for building a structured knowledge database and integrating a future chatbot.
• Derivation and prioritization of use cases for information retrieval and provision by the chatbot.
• Modeling of data structures and flows for the effective organization of the knowledge database on the Base44 platform.
• Design and implementation of data models for storing and linking relevant information.
• Development of processes for extracting, analyzing and preparing raw data for the knowledge database.
• Ensuring data consistency and quality as the basis for the future chatbot.
• Planning the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) for precise and context-specific answers.
• Implementation of functions for analyzing and displaying data from the knowledge database.
• Use of the Base44 platform with JSON Schema-based entities and a flexible permission concept.
• Implementation of Deno functions for backend logic, event processing and connecting external APIs.
• Integration of OpenAI services for initial data analysis.

• Concept & IT implementation of inbound B2C campaigns, BPM process documentation
• Cross-functional implementation of several whitepapers / guides
• Setup of the customer journey with MS Dyn365 / CRM: Forms, landing pages, campaigns
• Project controlling, process documentation, testing and training / coaching, analytics reports
• Hands-on implementation & on-time launch of all campaigns for digital customer acquisition

• Digital & Omnichannel Lead: Advising various brand teams on digital marketing strategies
• Product Owner for several indication areas, further developing an HCP web portal and several patient websites
• Developing, managing, implementing and optimizing (automated) personalized omnichannel campaigns along the customer journey and funnel
• Project management and leadership
• Monitoring & reporting on the respective activities
• Designing, moderating and facilitating workshops (brand planning, digital strategy, team workshops with brand, tech, medical, sales and legal, among others)
• Managing external service providers and agencies
• Close collaboration in a cross-functional team with medical, brand and sales, including the field force

Technical SEO for a travel-tech company with 18 domains and 8 brands in Germany, France, Spain and other markets.

• Indexing strategy for 200,000 accommodation detail pages, including canonical and hreflang architecture across all domains
• Responsible for the SEO side of M&A migrations: revenue forecast before the deal, redirect mapping, quality assurance after launch
• White-label SEO for partner websites and multibrand differentiation between the brands
• Built a control system for technical SEO stability, monitoring indexing, status codes and configurations
• Scalable content modules for SEO landing pages and homepages
• Structured data strategy for visibility in generative search systems (AI Overviews, ChatGPT Search, Perplexity)
• Managed based on revenue metrics: organic revenue, contribution margin, clicks in Search Console

Tools: Search Console, GA4, Looker, Screaming Frog, Sistrix, Semrush, Jira, Confluence

Senior AI expert

• Generative AI products for corporate clients, owned from strategy through specification to production.
• Central strategy, local configuration: multi-tenant AI assistant for occupational pension schemes (bAV), delivered as an interactive avatar with text and voice path. Three tenants run on one codebase, each with its own conversation guide, while the knowledge base, guardrails and escalation paths stay central
• Versioned, AI-ready knowledge base composed into a tenant-agnostic voice context and tenant-specific text prompts — the configuration layer that keeps local adaptation from forking the product
• Conversational design: answer limits, scope and off-topic handling, anti-hallucination rules, escalation and lead handover to human advisors
• Five eval suites as a quality gate before any prompt or model change (anti-hallucination, LLM-as-judge failure modes, multi-turn consistency, voice KPIs, action vocabulary with confusion matrix); user test with 10 testers (Hamburg, 07/2026) drove the rework from alpha to beta
• Coordinated external developers, compliance and client stakeholders; GDPR-compliant EU stack, IDD-compliant, EU AI Act classification documented
• Second product line: white-label social media generator for consultancy chilli mind (CH/DE) — one codebase, per-client branding and configuration
• Results: 239+ deployments and a pilot with corporate customers · 108+ deployments for the white-label product · repeatable pattern for multi-tenant AI products in a regulated environment