Cédric Zioueche
PALMA,Spain
Summary
Product Manager at MosaLingua, specializing in AI-driven localization and operational scaling. Built multilingual content systems and strengthened support quality using AI and automation, driving higher user satisfaction and recurring positive app-store feedback.
Overview
11
11
years of professional experience
1
1
Certification
Work History
Product Manager (Product, Ops & Automation)
MosaLingua
, Remote
02.2015 - Current
- Led cross-functional product execution and operational systems in 25-person organization, enhancing automation, content pipelines, localization ops, and support quality.
- Managed app lifecycle delivery, incorporating user insights, user stories/requirements, ticketing, and release testing to ensure seamless user experience.
- Built production-grade AI workflows for learning content creation and localization —fast delivery backed by reinforced QA.
- Scaled content creation across 12 languages and localization across 7, implementing quality gates and establishing repeatable processes for consistent output.
- Built and managed support operations: documentation, L2 support, and dev coordination; helped drive recurring positive app-store mentions.
- Mobile language-learning publisher
Education
MSc - Business Information Technology Systems
University of Strathclyde
Glasgow, ScotlandSkills
- OpenAI API and Gemini APIs
- Azure TTS and Gemini TTS
- N8n and webhooks
- Integrations and monitoring
- Supabase and Firebase
- SQL database management
- Git version control
- Python programming
- Playwright testing framework
- TypeScript development
- React framework expertise
- Google Cloud Run deployment
- Gemini CLI usage
- Antigravity technology
- Content localization strategies
- Customer support optimization
- Product lifecycle management
- Problem-solving skills
What I Deliver
- Automation audits and ROI analysis (prioritization, build vs buy, self-host vs SaaS)
- LLM workflow design (structured outputs, human-in-the-loop review, validation and reliability safeguards)
- Content and localization pipelines (multilingual throughput, fewer errors, faster release cycles)
- Audio production automation (TTS pipelines that replace studio/agency processes)
- Operational automation (n8n orchestration, Supabase/Firebase data flows, third-party integrations)
Key Impact Highlights
- Replaced a EUR 15,000 voice artist agency proposal with a TTS automation costing approximately EUR 20, delivered in approximately 3 days, using automated TTS pipelines (Python, Azure TTS, Gemini TTS)
- Reduced podcast episode production delay from approximately three days to less than one hour per episode; four series times twenty episodes pending publication
- Reduced grammar lesson creation and localization cycle time from approximately 8 weeks to approximately 3 weeks; 2 sets of 40 lessons pending publication in Polish
- Localized approximately 10,000 flashcards into Polish and translated approximately 500 HTML pages via automation, and the localization effort was reduced by approximately 50%
Certification
- Supervised Machine Learning: Regression and Classification, DeepLearning.AI / Stanford University, VRFNFSV48GB3
- Google IT Automation with Python Specialization, Google, 01/01/24, YRHCFT4ECMT7
Languages
French
Native
Native
English
Proficient (C2)
C2
Spanish
Advanced (C1)
C1
German
Intermediate (B1)
B1
Italian
Intermediate (B1)
B1
Portuguese
Elementary (A2)
A2
Timeline
Product Manager (Product, Ops & Automation)
MosaLingua
02.2015 - Current
MSc - Business Information Technology Systems
University of Strathclyde