I design and build digital products end to end — web and mobile apps, data products, dashboards and marketing technology. Product strategy and hands-on engineering in one — from first concept to a product that ships.
Product leadership, marketing technology and hands-on engineering — end to end. I can own the strategy and the roadmap, and build the platform that delivers it.
The platforms, tools and languages I work with across product, marketing technology, data and engineering.
Roadmaps · Discovery
KPIs · Product Ownership
Scrumban · Agile
JIRA · Confluence
Programmatic · RTB
Xandr DSP · Google Ad Mgr
DMP · CDP · Permutive
Exactag · Tracking
Python · JavaScript
TypeScript · SQL
Node.js · React
HTML · CSS
PostgreSQL · MySQL
BigQuery · Snowflake
Exasol · Firestore
PowerBI · Superset
AWS · GCP · serverless
Containers · functions
Storage · queues
Real-time infra
LLM workflows
Contextual models · DCO
Data pipelines
Process automation
The three most recent stations — product leadership and hands-on delivery across eCommerce and advertising technology. Full history on LinkedIn.
Building an in-house demand-side platform with a cross-functional team.
Led contextual data-science models and the pipelines behind them.
Owned strategy, roadmap and KPIs for Otto's retail-media products; team of ~25.
Education — M.Sc. Media Informatics, Lübeck (thesis: Dynamic Creative Optimization in programmatic advertising) · B.Sc. Media Engineering, Hamburg.
Starting point, my contribution, outcome — what typical collaboration looks like.
A complex manual process needed to become a usable self-service interface.
Structured product logic, defined core entities & workflows, designed and built frontend, backend and API structure.
Clearer, usable platform logic with better usability and clean data structures as a basis to scale.
Several systems needed to be connected via APIs, mappings and status logic.
Analyzed interfaces, defined data flows, built mapping & status models, implemented integration logic.
More stable system communication, clearer responsibilities and traceable data flows.
Data from various sources needed to be merged and made usable for decisions.
Designed data models, built import & transformation logic, developed reporting structures and KPIs.
Usable data base for dashboards, reports, operational steering and further product features.
Unstructured content needed to be processed, classified and made usable automatically.
Developed data flows, labeling logic, backend structure and AI-powered enrichment.
Technical prototype with data pipeline, AI analysis and usable product logic.
Information from external sources needed to be collected and processed regularly.
Scraping / API import processes, data validation, transformation and handover to reporting & product components.
Less manual work, better data availability and repeatable processes.
Beyond client work — a shipped product and a company I'm directly involved in.
Don't talk about solutions forever — build a first working version fast, learn from it and improve it iteratively.
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Day rate based on project type, responsibility and duration — for clearly scoped projects also as a fixed or package price.
Web apps, services, APIs, automations or dashboards.
Data products, scraping, reporting, DWH or AI workflow projects.
MVP or app projects with product & delivery responsibility.
Strategic-technical product guidance with hands-on delivery.
Remote-first, on-site in Berlin when needed. Options: scoped delivery packages, MVP development or part-time engagement over weeks to months — also within existing engineering teams.
Got a clearly scoped project with a concrete outcome? Tell me briefly what it's about — I'll come back with an honest take on feasibility, scope and effort.