ProfileProduct leader specialized in end-to-end efficiency of software organizations ? from problem selection (Discovery) to delivery performance (DORA). I help companies stop building the wrong things inefficiently by aligning Product Strategy, Operational Excellence, and Engineering Systems. Proven impact across SaaS and industrial platforms: 3?5× delivery performance improvements, lower failure rates, and faster time-to-market, grounded in evidence-based practices (Accelerate, EBM, DORA). Experienced in complex platform contexts (multi-sided markets, regulated industries, B2B/B2B2B) where efficiency without direction destroys value. Strong background in platform strategy and platform operations: designing scalable platform models, aligning incentives across user groups, and optimizing internal platform teams for flow, focus and economic impact.
Career Mission Statement- I build products and platforms that enable teams to deliver high-quality outcomes faster and more reliably.
- I'm passionate about DevOps culture, platform thinking, data-heavy products and helping cross-functional teams reduce friction, increase automation, and scale efficiently.
- My goal is to foster alignment across business and tech by integrating user value, operational excellence and modern engineering practices like CI/CD, IaC and observability.
Core Value Contribution- Operational Excellence: Diagnosis and optimization of software delivery systems using DORA metrics and value stream analysis
- Product Discovery & Direction: Ensuring outcome over output by validating problems before scaling solutions
- Platform Strategy & Operations: Designing and operating scalable platform models instead of feature-centric team silos
- Evidence-Based Decision-Making: Using delivery, product, and market data to drive prioritization and investment decisions
- Turnaround & Focus: Reducing WIP, context switching, and organizational waste to restore flow and predictability
Experience Overview- Product & Discovery - Clear problem?solution fit, better prioritization, reduced product waste and misaligned investment
- Platform Strategy & Operations - Scalable platform models, clarified ownership, aligned incentives
- Delivery & Operational Excellence - 3?5× delivery performance, lower failure rates, shorter lead times
- Transformation & Turnaround - Reduced WIP, improved focus, stabilized teams and processes
Tools (selection)- Jira
- Confluence
- Miro
- Git
- CI/CD & Observability stacks (Prometheus/Grafana)
- Code Quality & SAST (SonarQube)
- Product Analytics
- PowerBi
- DBeaver
- Katalon
- PGAdmin
- AdobeXD
- Jenkins
- Azure DevOps
- Kubernetes
- GraphQl
CodingExperience11/2024 - 06/2025Group Product Manager
SPREAD, Berlin
Digital Platform Discovery
- Promoted to maintain strategic product oversight and develop organizational product management capabilities. Organization operated in project mindset with mechanical Scrum execution; Product Owners functioned as backlog clerks without discovery mandate or experimentation budget.
- Developed and implemented organization-wide discovery framework based on Ulwick's Outcome-Driven Innovation; enabled 7 Product Owners to systematically identify and quantify unrealized value through shared outcome language and opportunity scoring methodology
- Transformed Product Owner role from backlog clerks to strategic experimenters; established dedicated time budget for autonomous hypothesis testing and discovery activities
- Rebuilt customer journey maps to start at actual user need (tool selection phase) instead of platform entry point; eliminated manual data aggregation work previously done by project teams
- Unified 3 separate platform roadmaps through cross-team dependency mapping and shared service agreements
- Supported enterprise sales cycle with ROI modeling and technical due diligence for automotive and defense customers
- Tools & Methods: Jira, Confluence, Miro, OKRs, Outcome-Driven Innovation, Continuous Discovery, Jobs-to-be-Done, User Story Mapping, Dual-Track Agile, DevOps culture transformation
- Industries: SaaS, Automotive (OEM/Tier 1 suppliers), Defense Tech
04/2024 - 11/2024Product Manager
SPREAD, Berlin
Senior Product Owner Data & AI
- Inherited unfocused product & project teams. Mandate: optimize ability to innovate and time-to-market across 3 teams (23 developers total). Led customer-centric project team using value stream mapping to identify bottlenecks in user workflows.
- Eliminated support ticket bottleneck by migrating local data mapping tool chain to cloud-based solution; removed scope waste through rigorous unrealized-value analysis before scaling
- Engineered 80% faster data mapping through ETL optimization (Rust + WebAssembly + JavaScript); integrated heterogeneous sources (ERP, CRM, proprietary systems) via unified data model
- Executed complete database migration from ArangoDB to Neo4j mid-quarter; conducted technical spike evaluating 8 graph databases to resolve query performance degradation caused by document-DB architecture overfetching on deeply nested relationships
- Rejected CEO pressure to defer migration; defended decision by quantifying tech debt cost (incompatible query languages = complete rebuild later); ruthlessly descoped all other initiatives to accommodate migration + discovery + stakeholder alignment in single quarter
- Crisis-managed AI product launch announced at customer event without Sales knowledge or product validation; wrote technical documentation and Sales enablement materials to manage inflated market expectations for agentic AI capabilities (LLM + RAG, Mistral Nemo for defense private cloud, multi-agent orchestration)
- Conducted "eat your own dog food" experiment using sensitive Sales data to demonstrate internal AI platform adoption feasibility
- Designed end-to-end data lineage to track attribute transformations across ingestion ? harmonization ? semantic linking; reduced debugging time and enabled domain-expert feedback loops.
- Introduced event-time based versioning, ensuring true source timestamps instead of incorrect ingestion timestamps; enabled time-travel correctness for engineering workflows.
- Built probabilistic entity resolution workflows (text similarity + human-in-the-loop) to reconcile conflicting records across ERP/CRM/engineering systems.
- Defined trust scoring & source hierarchy rules for multi-ERP environments; supported project-specific override logic when no global truth existed.
- Initiated schema modularization strategy (Git-based evolution) to break the monolithic schema into domain packages, reducing tech debt and increasing customer onboarding speed.
- Designed early version of data quality dashboards with actionable tasks, enabling customer teams to resolve inconsistencies directly.
- Tools & Tech Stack: Tools & Tech Stack: Jira, Confluence, Miro, Neo4j, ArangoDB, Rust, WebAssembly, GCP, AWS, Kubernetes, Helm, ArgoCD, Mistral Nemo, RAG architecture, Value Stream Mapping, User Story Mapping, Data Lineage, Data Provenance, Schema Evolution (Git-based), Entity Resolution (probabilistic + HITL), Temporal Modeling (event-time vs ingestion-time), Data Quality Rules, Semantic Layer Modeling (Neo4j), Trust Scoring, Data Completeness Validation, Lineage-based Debugging.
- Industries: SaaS, Manufacturing, Defense Tech, Automotive
11/2020 - 03/2024Product Manager
Docufy, Bamberg
Maintenance Manager Team
- Built and scaled a zero-trust maintenance platform for multi-stakeholder machine lifecycles (OEM, subcontractors, operators). Supported regulatory compliance, predictive/condition-based maintenance, and global B2B2B rollouts (+5k users across 5 continents)
- Executed POC-to-Pilot strategy with 100% conversion and expanded the platform from printing machinery into rail and industrial sectors. Delivered multi-language SaaS B2B2B rollout across 5 continents (+5k users); achieved break-even in 2 years despite suboptimal pricing incentives and customer over-commitment on machine volumes.
- Optimized ability to innovate and time-to-market using DevOps principles: 2x/week deployments, MTTR reduction (3 days ? 2 hours) and zero-downtime releases via blue-green deployment and feature flags. Engineered multi-tenant architecture with per-customer DB/pod isolation; implemented GitOps + DevSecOps to prevent offshore access to production data while enabling safe experimentation via test tenants in production (Argo Workflows for strict customers)
- Implemented GDPR-compliant RBAC with AD integration and right-to-be-forgotten workflows. Introduced Selenium-based E2E test automation and comprehensive DORA metrics. Designed HA architecture that reduced incidents from outages to service degradation. Built offline-capable edge data storage supporting zero data loss during maintenance windows and provided contextual documentation across 5 languages.
- Integrated DINO-based visual damage detection (MVP) and architected state-based task triggering for predictive maintenance. Led team evolution from 8 ? 4 during maintenance mode while preserving service quality; coached sales on multi-stakeholder value propositions across OEM/ operator/ subcontractor/ financier contexts. Established observability stack (Prometheus, Grafana, Azure Monitor) and defined SLIs/SLOs for data-driven incident response and capacity planning.
- Implemented full audit-trail tracking (role actions, login geolocation, task interactions) enabling forensic accountability in liability and regress cases. Built zero-data-loss Kafka ingestion with deterministic replay pipelines, multi-stage retries and timestamp-based conflict resolution to ensure event-time correctness. Enabled forensic workflow reconstruction via lineage, replayable dumps and event-time arbitration. Defined data completeness rules and missing-event detection to enforce ingestion quality across all sources.
- Tools & Tech Stack: Azure Kafka, Kubernetes, GitOps, Argo Workflows, Blue-Green Deployment, Feature Flags, Selenium, DORA Metrics, Multi-Tenant Architecture, RBAC/AD Integration, Edge Computing, DINO (ML), IoT Integration, Prometheus, Grafana, Terraform, IaC, JSON, XML, Java, SQL
- Methods: DevSecOps, Value Stream Mapping, GTM Strategy, Sales Enablement, DevOps Culture Transformation, SCRUM, Kanban
- Industries: SaaS, Industrial Machinery, Rail/Rolling Stock, Manufacturing, Pay-per-Use Business Models
01/2019 - 11/2020Senior Client Solution Lead
Embold, Frankfurt
Solutions Team
- Led pre-sales technical consulting and implementation delivery for SAST platform with ML-based PR risk analysis and branch-agnostic code quality scoring (1-5 scale). Managed 4-person solution team (Germany + India) serving 20+ EMEA enterprise customers generating 50% of company revenue.
- Delivered value consulting engagements across Banking, Automotive (Tier 2), Pharma, and Tech; equipped internal champions with executive presentations to secure budget and drive tool adoption
- Doubled project capacity through process systematization: built Jira-based funnel with phase tracking, VSM board for cycle time analysis, eliminated email-based communication; enabled team autonomous operation and parallel project execution without operational collapse
- Built PowerBI executive dashboards from scratch combining Embold telemetry with temporal analytics (Code Quality Trends, Deployment Frequency); dashboard success led to 1:1 product integration; wrote API user stories and received delegated ownership of API domain from PO
- Embedded as Consulting PO 2 days/week at customer site; led 2 external Indian supplier teams, resolved 8-month timeline gap through story breakdown discipline and requirements translation (German customer ? documented specs ? dev teams); improved time-to-market
- Scaled offshore program from 2 to 8 developers through demonstrated delivery value; managed stakeholder expectations, enabling team expansion
- Tools & Tech Stack: Jira, Confluence, PowerBI, SAST (Embold platform with anti-pattern detection: God Class, etc.), ML-based PR risk scoring, Git, API design, VSM, Sonarqube, CI/CD, Kubernetes, JSON, XML
- Methods: Value Stream Mapping, Agile Project Execution, Stakeholder Management, Process Standardization, Offshore Team Leadership, DevOps, DevSecOps, Product Owner, SCRUM, Program Management
- Industries: Banking, Automotive (Tier 2 suppliers), Pharma, Semiconductor
03/2017 - 12/2018Project Executive & Customer Value Consultant
Seerene, Berlin
- Led technical pre-sales and pilot delivery for engineering intelligence platform analyzing code complexity (NL4+, McCabe/cyclomatic complexity), organizational dynamics (knowledge monopoly, team churn), and delivery inefficiencies across Git/SVN, Jira, SonarQube data. Delivered 50+ executive presentations to CIOs, CTOs, and Heads of Engineering.
- Executed 53 pilot projects (35 EMEA, 15 Asia, 3 US) with 2-4 week delivery cycles; achieved first successful international pilot conversion (Hargreaves Lansdown, UK)
- Analyzed development workflows to identify agile delivery deviations: oversized files, undocumented critical code, ticket misuse for hidden changes, batch tickets bypassing process, integration failures causing timeline delays
- Quantified tech debt impact on estimation accuracy through temporal analysis of bug density, nesting levels, and complexity trends; provided targeted refactoring recommendations for high-risk areas
- Identified knowledge monopolies via commit analysis; flagged single-developer dependencies in complex services for risk mitigation
- Engineered custom scan integrations for incompatible version control systems; implemented CI/CD hooks for continuous analysis at enterprise scale
- Trained Hong Kong consulting team on findings presentation and technical integration; enabled local team autonomous delivery with central support
- Tools & Tech Stack: Seerene Platform, Git, SVN, Jira, SonarQube, Custom Regex Metrics, NL4+ Analysis, McCabe Complexity, Cyclomatic Complexity, Time-Series Analytics, CI/CD Integration, JSON, XML
- Methods: Engineering Intelligence, Technical Debt Quantification, Knowledge Distribution Analysis, Agile Process Adherence Auditing
- Industries: FinTech (Hargreaves Lansdown), Automotive (Continental), Telecom (Deutsche Telekom, Vodafone), Transportation (DB Systel), Tech (Tencent), CPG (InBev)
08/2015 - 09/2016ERP Project Executive
Konica Minolta IT Solutions, Nürnberg
- Managed NAV projects with sizes up to ?400,000 and teams of 2-12 people as well as developing C/AL as required
- Industries: Automotive (Tier 2 suppliers), Ecommerce
12/2013 - 08/2015IT Consultant
Freelance, Marburg
- Analyzed and optimized processes, e.g. reducing offer creation time from 4 hours to under 3 minutes by introducing and adapting PHP based open source ERP system
- Industries: Measurement & Instrumentation