05/31/2026 updated
100 % available
Senior Product Manager | AI/ML Data Platforms | B2B SaaS
Tel Aviv, Israel
Germany +2
M.Sc. Computer Software Engineering, Imperial College Londoninfo: Germany, Austria, Switzerland
About me
I take AI products from pilot to production. ML model requirements, data quality frameworks, precision/recall gates. Track record: 90% ML pipeline improvement (Booking.com), 30–40% yield uplift (EX.CO), 17-market data platform (Zalando). German citizen, remote from Israel.
AI AgentsOKRA/B TestingAgile MethodologyAtlassian ConfluenceAtlassian JiraSoftware as a ServiceE-CommerceProduct Lifecycle ManagementMachine LearningProduct Data ManagementScrum MethodologySoftware Product ManagementStrategy ExecutionSQL Databases
Ich bin ein erfahrener Product Manager mit über 20 Jahren Erfahrung in datenintensiven B2B-Plattformen. Meine Arbeitssprache ist Englisch. Ich bin deutscher Staatsbürger und arbeite remote aus Israel als B2B-Auftragnehmer — Rechnungsstellung direkt, kein Payroll-Aufwand auf Ihrer Seite.
I take AI products from pilot to production. Most AI projects stall not because the technology fails, but because nobody defined what "working" means — no quality framework, no evaluation criteria, no path from prototype to deployed system. That's the gap I fill.
I embed with your engineering and data science teams as product leadership: defining ML model requirements (input features, output format, performance constraints), designing data models and cross-source data harmonisation logic, setting precision and recall quality gates, and driving delivery through to production.
Track record:
- Booking.com — 90% ML pipeline efficiency improvement. Defined precision/recall quality gates for model deployment. Reduced iteration cycles from weeks to days. Published at SIGIR 2020 and WWW 2022.
- EX.CO — ML-based yield optimisation engine, zero to production in six months. Defined model requirements end-to-end. Delivered 30–40% revenue uplift. Offered full-time to retain.
- Zalando — Built zPrice, the pricing data platform across 17 European markets. Designed the data model that harmonised tens of millions of SKUs across different naming conventions, currencies, and competitive formats. Managed 40+ concurrent initiatives.
- DoubleVerify — Brand safety AI PoC on a major social platform. 80% classification precision. First deployment of its kind. Offered full-time to retain.
- Huawei — Enterprise B2B product portfolio across EMEA and LATAM. Technical pre-sales and solution design for large-scale deployments.
Education:
M.Sc. Computer Software Engineering (Imperial College London), B.Sc. Electrical Engineering (UNICAMP, Brazil).
Tools:
Jira, Confluence, SQL, Google Analytics, Claude Code, Cursor.
Setup:
German citizen. CET+1 timezone. Available for remote engagements across DACH, with periodic on-site. Typical engagement: 3–6 months.
Experience
Professional experience10+ years
Freelancer since2021
Languages
GermanBasic knowledgeEnglishFluentPortugueseFluentSpanishFluentHebrewBasic knowledge
Project history
Consulting for technology companies across Europe and Israel, embedded with engineering and data science teams on AI-driven data platforms. Built and shipped an ML-based yield optimisation engine from zero to production in six months for EX.CO. Led discovery and PoC for a brand safety product on a major social platform (DoubleVerify). Defined product vision and technical roadmap for a video advertising platform.
Based in Amsterdam and Tel Aviv as part of the first data science PM team, focusing on search ranking, ML infrastructure, and experimentation. Drove 90% efficiency improvement in ML model deployment pipeline. Built and shipped a voice search feature for mobile. Led product discovery for intent-based destination search using image embeddings and multi-task learning across 520,000 properties. Owned search personalisation at scale serving 80% of traffic from cache.
Based in Berlin, focused on pricing platform, competitive intelligence, ML-driven optimisation, and consumer growth. Built zPrice from scratch, a data platform for pricing across 17 European markets. Introduced ML-based demand forecasting at item level. Built a goal-based AI optimisation layer. Moved to consumer-facing growth supporting Zalando push toward 1B GMV. Managed 40+ concurrent product initiatives across pricing, logistics, and partner integrations.