Amplitude Experts in Germany

• Shipped Recare Voice Desktop from 0 to 1 in two months, including multi-language clinical documentation that auto-transcribes into structured German medical notes.
• Reduced LLM inference costs by 60–70% across Docs and Extract through prompt caching architecture.
• Built the AI workbench used by PMs/engineers for prompt experimentation and the Langfuse eval stack (10k+ traces evaluated).

Workflow-automation SaaS for operations teams (Berlin, 120 people); full-time freelance engagement reporting to the CEO: an initial 12-month interim mandate, extended twice through the AI build-out; owned product for one squad and coached the other product managers on process.

• Led generative AI (LLM) integration into the core product: from LLM-powered steps to natural-language workflow authoring and step-level automation suggestions, plus AI-managed dynamic workflows, shipped behind eval gates with human-in-the-loop fallbacks: AI-drafted workflows grew to 31% of all new workflows, and median time-to-first-workflow fell from 3 days to 4 hours.
• Packaged the AI capabilities as a usage-based add-on priced on executed automation steps, working with sales and marketing on positioning: ~€800K added ARR in the first year, and adopting accounts churned 1.8 pp less.
• Owned the roadmap end to end: replaced feature-request-driven quarterly planning with an outcome-based rolling roadmap built on quarterly bets and explicit kill criteria, presented monthly to the executive team and quarterly to the board.
• Rebuilt the product-management operating system: weekly customer-discovery cadence incl. workshop facilitation, RFC/decision-doc reviews and a single quarterly metrics narrative; coached four product managers, one promoted to senior during the engagement.
• Closed the engagement as scoped: hired and onboarded the permanent VP Product, handed over the process playbook and roadmap, and exited on schedule in June 2026.

• PROBLEM: GTM effort is guesswork across fragmented identities and channels, with no closed feedback loop.
• BUILT: Cost-pyramid engine (L0–L3): identity resolution across ~25k entities, explainable intent scoring, and a closed decision loop (propose → execute → evaluate → learn) with calibration.
• IMPACT: Shipped v1.3.1 with a live demo; 99% of operations resolve at the free L0 tier (CI-enforced); $0 to run without any API key.

• Designed role-based delivery assignment workflows, switchable between own fleet and partner carriers, with traceable status chains from „pending“ to „in delivery.“
• Designed AI-assisted route optimization, where dispatchers review drive-time-optimized route suggestions as drafts and apply them in one click.
• Designed a central planning interface for delivery and route management, bringing table view, map view, and route composition into a single workflow.
• Built interactive prototypes to align new product features early with stakeholders and engineering.

Key methods: AI-assisted Product Design, Workflow Design, Role-Based Workflows, Dashboard Design, Interaction Design, Prototyping, Logistics/Operations UX, Stakeholder Collaboration

Led FP&A tech transformation for a 9-figure business – from resolving legacy technical debt to leading AI-native EPM implementation

• Driving end-to-end FP&A transformation, from architecture redesign through EPM tool selection to rollout
• Ran evaluation of 12+ EPM platforms, from vendor negotiation to selection framework tied to long-term planning
• Diagnosed constraints in financial planning architecture, presented findings to the CFO, and secured executive mandate to redesign FP&A infrastructure from the ground up

• Directed the contracts management function for Europe's largest renewable energy portfolio, 10 FTE
• Implemented process automations by architecting scalable, data-driven workflows leveraging AI and traditional automation

• Detecting fraud patterns by implementing aggressive anti-fraud rules while maintaining acceptable false positive rates, reducing fraud exposure to users by up to 80%
• Supporting ideation and roll-out of new trust and safety features to block fraudulent activity and increase user awareness for fraud
• Supporting Product, Development and Customer Support with BI reports and further guidance to identify and fight fraud and policy violations

• Launched and leading a new venture in consulting & digital transformation.
• Supporting clients in transforming their organisations, scaling growth strategies, building digital operating models, and creating future proof organisations.

• Developing a monitoring concept for a toll collection service within a public infrastructure project – requirements analysis, technical test scenarios, customer workshops (Discovery, Scoping, KPI definition)
• Test management and QA coordination across a large-scale public infrastructure project in the transport & mobility sector (Jira Xray, unit / integration / E2E)
• Business cases, cost-benefit models, solution architectures and strategic recommendations for complex technical systems

• Data Engineering

• Business Analyst

• Consulting

• 2025 – present

Data Engineer & Architect

• Azure Data Factory
• Azure Databricks (PySpark)
• PowerBI Service

Lead developer for the further development of the Modern Data Warehouse, as well as Power BI reports and data models based on the ERP systems Amparex and EyeOffice. Focus on topics for the marketing department with data connection via API to Amplitude and Klaviyo with Python

• 2024 – present

Data Engineer & Architect

• SQL Server (T-SQL)
• SSIS (ETL)
• SSAS Tabular
• PowerBI Report Server
• Atlassian Jira & migration to Azure DevOps with GIT (KANBAN)

Development of Power BI reports and data models based on Infor LN ERP data after migration from Baan, including the underlying data structures with Microsoft SQL Server for further development of the Data Warehouse

Consulting for controlling on the specification of business requirements and development of reporting solutions

• 2025 – 06.2025

Data Engineer & Architect

• PowerBI Dataflows
• PowerBI Service

Cloud migration of the Data Warehouse, as well as Power BI reports and data models from Microsoft Dynamics BC 2021 to Microsoft Dynamics BC Cloud, including migration of the underlying data structures from Microsoft SQL Server to Power BI Dataflows

• 2022 – 06.2024 (ongoing support for data engineers)

Data Engineer & Architect

• SQL Server (T-SQL)
• SSIS (ETL) & BIML
• SSAS Tabular
• Azure DevOps with GIT (SCRUM)

Development of analytical models based on Microsoft Dynamics BC 2021 in combination with data from the company's own MariaDB database, including the setup of the underlying data structures with Microsoft SQL Server to build a Data Warehouse. Merging of the ERP systems BC 2021 and DATEV in the Data Warehouse

Consulting for business users on the specification of business requirements and coaching of developers for the development of reporting solutions

• 2022 – 08.2023

Business Analyst & Interim Manager

• PowerBI Service
• Azure Databricks (PySpark)
• Atlassian Jira (SCRUM)

Project management for reporting solution requirements, as well as development of Power BI reports and data models with data from Azure Databricks based on SAP R/3, Google Analytics, webshop and CRM with a business focus on customer, sales and marketing

• 2022 – 05.2022

Power BI Specialist

• PowerBI Service
• Azure DevOps with GIT (SCRUM)

Development of Power BI reports and data models based on data from Exasol with a business focus on assortment management in purchasing

• 2021 – present (ongoing support for existing customers)

Power BI Specialist & Data Engineer

• SQL Server (T-SQL)
• SSIS (ETL) & BIML
• PowerBI Service
• Azure DevOps with GIT (KANBAN)
• Azure Functions (Python)

Development of Power BI reports and data models based on abas ERP data, including the setup of the underlying data structures with Microsoft SQL Server to build a Data Warehouse.

Synchronization of customer data for Pipedrive CRM via Azure Functions with Python.

Consulting for controlling and management on agile project management, the specification of business requirements and development of reporting solutions

• 2021 – present (ongoing support for existing customers)

Data Engineer & Architect

• SQL Server (T-SQL)
• SSIS (ETL) & BIML
• SSAS Tabular
• Azure DevOps with GIT (SCRUM)

Development of analytical models based on Microsoft Dynamics 365 FO, CS & CRM in combination with Microsoft Dynamics AX 2012 R3, including the setup of the underlying data structures with Microsoft SQL Server to build a Data Warehouse

Concept for the migration of the SQL Server-based Data Warehouse to Microsoft Fabric with planned future implementation and temporary use of a hybrid data architecture for the introduction of Power BI Service during the migration phase

Consulting for business users on the specification of business requirements and development of reporting solutions

• Driving app monetization and growth initiatives for Bundesliga products.
• Moderation of cross-team ideation workshops for idea generation.
• Amplitude Product Analytics, Google Ad Manager, Firebase.

• Built a JTBD-based prioritization framework for 3,000+ accumulated feature requests, identified 27 broker jobs, validated 8 through 25 user interviews, and used the resulting job map as a live prioritization filter for all incoming channels (Upvoty, CSAT, consulting tickets).
• Responsible for the Scout24 Lighthouse initiative: Document Intelligence with full RAG architecture (semantic chunking, bge-m3 embeddings, pgvector, BM25+Dense hybrid retrieval).
• Reduced lead time of customer feature requests to 3.1 days through code analysis, ticket specification, and independent implementation using a coding agent (Codex).
• Developed an LLM-based support agent (GPT-4o mini, Codex-generated merge requests) that reduced 3rd-level escalations from 40% to 5% of all monthly tickets.
• Integrated six partners through technical coordination, specification, backlog and release management, and led seven full stack developers.
• Eliminated regulatory exposure for brokers in six weeks through risk analysis (BGH ruling on distance selling/GDPR), new audit features, and coordination with legal and data protection officers.

• Held two on-site guest lecture sessions for Product Management students covering “Agile Values Principles” and “Implementing Agile Processes”

• Large-scale B2C legal services platform operating across Europe in air passenger rights and in Germany across labor, mobility, and rental law.
• Owned the end-to-end onboarding and lifecycle foundations of a high-traffic customer acquisition funnel across 8 European markets, supporting ~10,000 new users per month and backed by €100k/month in paid acquisition spend.
• Led the architectural migration of the core intake and decision logic from fragmented legacy flows into a scalable workflow engine, increasing reliability, improving operational efficiency, and enabling faster iteration on funnel performance and user experience.
• Partnered closely with engineering, operations, and commercial stakeholders to optimize activation, manage complex edge cases, and ensure the platform could scale sustainably across markets without compromising performance or consistency.
• Introduced foundational product analytics and performance monitoring to increase visibility into activation, drop-offs, and lifecycle behavior, enabling data-driven prioritization and experimentation.