Product Manager

• Project lead for all transformation projects since 01/2018

• Advisory role for the IT development team to ensure the best possible implementation of customer communication workflows within the new IT structure

• Monitoring cross-department process harmonization to create a unified approach for B2B customer communication

• Introduction of a new agile working method, including an optimized IT development process with clearly defined responsibilities

• Reduction of process redundancies by 35% through effective system integration and workflow optimization

• Successful unification of customer communication across three previously separate systems

• Introduction of customer journeys and customer experience

• LLM-based features for automated CO₂e data extraction from unstructured documents (70% reduction)

• Agentic AI pipeline for automated Scope 3 emissions calculation with 150,000+ validated data records

• Smart API workflows for real-time carbon footprint calculations in ERP and ESG systems

• ML algorithms to predict emission hotspots and optimize product design

• Automated data validation pipelines with NLP for quality assurance of CO₂e datasets

• Led a 15-person cross-functional team to develop 10+ AI features

• Strategic product planning and AI roadmap with 35% shorter time to market

• Stakeholder management with DAX companies (40% higher satisfaction, 95% retention)

• On-time project delivery with 95% budget adherence through data-driven backlog management

• Agile methods (Scrum, Kanban) with continuous AI/ML integration (25% team velocity increase)

• Product-market fit for AI features through A/B testing and analytics (60% higher adoption rate)

• 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.

• Spearheaded end-to-end design of a scalable automation framework for large-scale assessments; drove 15% reduction in manual grading effort and generated £1.2M in new revenue
• Architected A/B testing framework to evaluate a novel AI psychometrics engine; automated internal content validation and boosted model accuracy by 25%
• Owned GTM strategy and technical launch of enterprise integration with Microsoft, capturing $800K direct business impact
• Established comprehensive performance dashboards and KPIs, unlocking 30% improvement in cross-functional alignment between Engineering and business teams

Driving AI model quality at scale — evaluating prompt-response accuracy, flagging edge cases, and maintaining SLA-compliant workflows across distributed global teams.

• Analyse AI prompts and side-by-side model outputs to assess response quality, factual accuracy, relevance, consistency, and compliance with project evaluation guidelines.
• Perform fact-checking, data validation, troubleshooting, issue identification, and edge-case review to improve quality standards across AI training support workflows.
• Use Google Sheets, Google Docs, and browser-based tools to document findings, maintain evaluation logs, track issue patterns, and support workflow optimisation in a remote environment.
• Create clear written justifications, review summaries, and KPI-oriented reporting focused on accuracy, turnaround time, documentation completeness, defect identification rate, and SLA adherence.

Goal:

• Stabilize and realign a central software platform for digital office processes and restore solid product and delivery management.

Tasks & responsibility:

• Took over product and project management during a critical development phase
• Sharpened product vision, target picture, roadmap, and prioritized product capabilities
• Analyzed user needs, processes, system dependencies, and operational pain points
• Reorganized and prioritized backlog, releases, and work packages based on customer value and delivery risk
• Cross-functional leadership of engineering, product owners, scrum masters, architecture, business units, and operations
• Introduced reliable planning, decision-making, reporting, and escalation structures
• Moderated discovery, refinement, planning, and decision workshops
• Managed scope, risks, dependencies, and stakeholder expectations in a complex product environment

Result:

• Sharpened product vision and roadmap, stabilized delivery structures, and sustainably improved management and decision-making capabilities.

• Orchestrate cross-functional delivery across organisational units in the Connectivity domain, aligning teams around integrated end-to-end, customer-testable value rather than isolated component delivery.
• Drive a shift from local component optimisation towards shared outcomes and a common delivery goal, increasing focus and enabling significantly faster integrated delivery.
• Coordinate across 15 cross-functional organisations in a highly complex OEM environment; bring Product, Engineering, Programme Management and specialist functions together to resolve dependencies and improve decision-making.
• Coach Product Managers, Product Owners and stakeholders on product responsibility, prioritisation, outcome orientation and aligned backlogs.
• Use Claude through an AWS Bedrock integration to analyse Jira and Confluence content, identify patterns, dependencies and quality gaps, and support structured product and delivery decisions.
• Establish AI-native requirements excellence with LLM-supported quality gates for epics, features, stories, acceptance criteria, roadmaps and task breakdowns; scale adoption through templates and prompt playbooks.

• Strategy: Embedded full time in a scaleup to identify the cross team problems blocking company growth, particularly delivery speed and customer satisfaction.
• Problem Discovery: Ran 50+ interviews with internal team members and functional leads, identified 100+ problems and pain points across the organisation, then ran 10 workshops with executives and stakeholders to group findings into themes and build a prioritisation framework.
• Solution: Redesigned the entire subscription management experience for customers and the internal workflows supporting it across 5 teams, reducing manual work by 80% and improving CSAT from 3.8 to 4.1.

• Built and validated SupportPiloten, an AI-powered content operations service; won first paying pilot customers
• Tested agentic workflows with Claude Code and Codex for analysis, research, documentation, and prototyping
• Further developed own AI product; training: AI governance, AI compliance, and the EU AI Act (ongoing)

• Responsibility for the further development of digital service products with a focus on customer value, profitability, and scalable growth
• Development and prioritization of the service product roadmap based on customer feedback, market analysis, financial evaluation, and technical feasibility
• Identification of new digital service opportunities as well as derivation of product requirements, feature priorities, and value propositions
• Alignment of product vision, roadmap, and user experience with product owners, center of competence, sales, service, and market organizations
• Support of go-to-market activities, market validations, and internal training for the successful launch of digital service offerings
• Use of data-based decision-making to assess customer needs, business model assumptions, and product progress

• Executive management (C-level)
• End-to-end ownership: IT, Engineering (SDD & Agentic AI), architecture; teams across DE/ES/RO
• Operational responsibility for scalable platforms (nine-digit annual revenue; global marketplace)
• Launched and scaled an AI-powered AdTech service to >€1M daily revenue
• Integration and alignment with group-level processes (Security, BI, Business IT)
• Corporate strategy development and business planning at executive board level

• Supported product discovery and GTM repositioning post-€2.8M seed round; defined direction and roadmap for a modular intelligence platform.
• Advised founders on execution to align product, engineering, and commercial priorities.

• Designed services, interfaces and workflows for tokenized-finance and digital-asset ecosystems, including a MiCA-regulated stablecoin platform.
• Worked directly with product, engineering and stakeholders to translate business, regulatory, privacy and technical requirements into usable product experiences.

Public sector, regulated environment with legal deadlines and interfaces to justice, finance offices, and authorities. Took over a software product, condition unknown. The handover reported 89 percent completion.

Description / Results:

Review of the current state showed only two months of remaining runtime until year-end. Stabilized the product base in four weeks, including setup. Process logic proven instead of estimated: 181 workflows with 28 steps each verified against the legacy system.