Mixpanel 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.

• Led marketing and corporate communications team (8 FTE) with budget and team responsibility to 250+ clinic customers and 150K patients, managing all aspects of marketing, brand messaging and public relations
• Led development of multi-channel demand gen and partner marketing with Sales and CSM (LinkedIn, webinars, email, field marketing, medical briefings in orthopedics, neurology, long-covid, oncology), achieving +180% leads, +120% webinar signups, +35% MQL conversion
• Architected new PLG/app marketing playbook with Product and Data to streamline and leverage product launches, achieving +150% 5-star app reviews from patients and +10 NPS
• Launched ingredient branding strategy, securing two major clinic chain partnerships and patient testimonials. Led proactive PR media and KOL campaigns (+20% sentiment)
• Introduced MarTech AI for marketing automation and campaign efficiency (SFDC, ActiveCampaign, Plausible, Figma), aligned with Legal on GDPR, PDSG, ISO:27001 compliance

• 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

Product ownership for the new bonus component: a fully digital rewards program in the customer app, going live on 1.1.2027.

• Translated requirements from the business team, app team, and development into epics and stories, and managed delivery
• Designed interfaces between the app, Python backend, and health insurance systems (mkk API, 21c, d.3)

Planning and delivery of cross-target group CRM and loyalty campaigns for the REWE Bonus Program across digital and offline channels. Coordination of cross-functional stakeholders and analysis of campaign performance to specifically improve customer engagement, new customer acquisition, and customer retention.

• Hired and mentored small design team; improved cross-functional collaboration
• Guided brand & CI evolution for improved product-market-fit; supported rollout across teams & channels
• Improved team processes and adapted workflows to shifting requirements
• Creation, maintenance of a Design System for product, content & marketing
• End-to-end product design for key features (e.g. onboarding, digital therapy modules) in a regulated health market, aligning with medical & business needs
• Supported marketing, sales & content teams in print, merchandise, web & motion
• Stakeholder management & collaboration across departments

• Owned product delivery for document automation and workflow platform used across multiple legal jurisdictions
• Led integration across 6+ systems using API-based data exchange and structured data mapping
• Partnered with engineering on data models, document generation workflows, and system orchestration
• Evaluated LLM-assisted document automation opportunities to reduce manual drafting
• Built functional prototypes to validate workflow and product concepts
• ~2x increase in case processing throughput
• Enabled multi-state rollout of platform capabilities
• Reduced manual document generation and operational bottlenecks by 80%

• Fractional leadership; consulting growth-stage startups and scale-ups on data strategy, ML products, and platform foundations
• Building decisioning systems for growth, personalization, & product experimentation, across e-Commerce, Digital Health, Energy, and Logistics
• Exploring Agentic AI & LLM-based tooling for production readiness patterns

• Designed a Merchant SaaS ecosystem for 1000+ vendors, integrating POS, real-time inventory, and QR payments to automate 100% of order and service management workflows.
• Led a team of 12 (Engineers, UI/UX, and QA) with agile processes, sprint planning, and stakeholder alignment to deliver impactful B2B and B2C products.
• Built a privacy-first social platform with zero backend data storage, eliminating server-side data risks and costs and protecting 100% user privacy.
• Optimized logistics efficiency by 25% by designing a custom multi-route delivery algorithm, maximizing fleet utilization for B2B and B2C marketplace fulfillment.
• Reduced infrastructure costs by 90% by leading a Firebase-to-Parse migration, eliminating a ₹45K/5-day revenue drain.
• Owned & launched a self-service Ad-Tech platform with CPC/CPI bidding and automated wallet integration, establishing a scalable revenue stream for the Super App ecosystem.
• Drove a 20% increase in user acquisition by launching high-engagement social reels and a unique "Barter" marketplace, successfully unifying 6+ modules into one Super App.
• Automated 30% of manual KYC workflows by architecting digital verification API integrations, significantly accelerating onboarding for both merchants and delivery partners.

• Mentored participants through structured learning paths and hands-on projects.
• Provided feedback and guidance on AI integration and product management best practices.
• Mentor teams on AI adoption, enterprise product strategy, and practical delivery choices.

• Working as a freelancer with a focus on website analysis, conversion rate optimization, and mouse-tracking tools
• Tools: Asana, Clarity, Jira, Contentsquare, Google Analytics, Hotjar, Shopify, VWO

• 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.